diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..0ec6865 --- /dev/null +++ b/.gitignore @@ -0,0 +1,42 @@ +# IPython Notebooks # +##################### +.ipynb_checkpoints/ + +# Compiled source # +################### +*.com +*.class +*.dll +*.exe +*.o +*.so + +# Packages # +############ +# it's better to unpack these files and commit the raw source +# git has its own built in compression methods +*.7z +*.dmg +*.gz +*.iso +*.jar +*.rar +*.tar +*.zip + +# Logs and databases # +###################### +*.log +*.sql +*.sqlite + +# OS generated files # +###################### +.DS_Store +.DS_Store? +._* +.Spotlight-V100 +.Trashes +ehthumbs.db +Thumbs.db +*~ diff --git a/Dia1/Index.ipynb b/Dia1/Index.ipynb new file mode 100644 index 0000000..78a4e69 --- /dev/null +++ b/Dia1/Index.ipynb @@ -0,0 +1,266 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%run ../talktools.py" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Dia 1\n", + "Instalacion y configuracion del SL4A y del ambiente IPython Notebooks" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "notebooks/
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You may obtain a copy of +# the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT +# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the +# License for the specific language governing permissions and limitations under +# the License. + +__author__ = 'Damon Kohler ' + +import collections +import json +import os +import socket +import sys + +PORT = os.environ.get('AP_PORT') +HOST = os.environ.get('AP_HOST') +HANDSHAKE = os.environ.get('AP_HANDSHAKE') +Result = collections.namedtuple('Result', 'id,result,error') + + +class Android(object): + + def __init__(self, addr=None): + if addr is None: + addr = HOST, PORT + self.conn = socket.create_connection(addr) + self.client = self.conn.makefile() + self.id = 0 + if HANDSHAKE is not None: + self._authenticate(HANDSHAKE) + + def _rpc(self, method, *args): + data = {'id': self.id, + 'method': method, + 'params': args} + request = json.dumps(data) + self.client.write(request+'\n') + self.client.flush() + response = self.client.readline() + self.id += 1 + result = json.loads(response) + if result['error'] is not None: + print result['error'] + # namedtuple doesn't work with unicode keys. + return Result(id=result['id'], result=result['result'], + error=result['error'], ) + + def __getattr__(self, name): + def rpc_call(*args): + return self._rpc(name, *args) + return rpc_call diff --git a/Dia1/Untitled Folder/android.pyc b/Dia1/Untitled Folder/android.pyc new file mode 100644 index 0000000..c88185b Binary files /dev/null and b/Dia1/Untitled Folder/android.pyc differ diff --git a/Dia1/files/VR23_10M.TXT b/Dia1/files/VR23_10M.TXT new file mode 100644 index 0000000..86d3eff --- /dev/null +++ b/Dia1/files/VR23_10M.TXT @@ -0,0 +1,149 @@ +Estación: XALAPAob, VER +Operada por: SMN ESIME +Longitud: 96°54'14" Longitud: 19°30'43 Altitud: 1360 + +DD/MM/AAAA HH:MM DIRS DIRR RAPVIENTO2 RAPRAFAGA2 TEMP HR PB PREC RAD-SOL +02/10/2014 17:00 106 268 1.60 3.80 25.7 60 865.2 0.0 646.0 +02/10/2014 17:10 112 270 2.40 4.80 25.6 60 865.2 0.0 561.0 +02/10/2014 17:20 94 269 2.00 3.80 25.1 63 865.2 0.0 664.0 +02/10/2014 17:30 72 169 1.30 3.60 26.5 60 865.1 0.0 762.0 +02/10/2014 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807.0 +02/10/2014 16:10 258 352 1.50 3.00 24.7 65 865.5 0.0 794.0 +02/10/2014 16:20 171 293 1.50 3.40 25.1 63 865.3 0.0 718.0 +02/10/2014 16:30 132 277 1.40 2.90 25.6 60 865.2 0.0 804.0 +02/10/2014 16:40 152 304 1.10 2.30 26.0 61 865.2 0.0 887.0 +02/10/2014 16:50 78 242 1.60 3.40 25.8 60 865.1 0.0 880.0 +02/10/2014 17:00 106 268 1.60 3.80 25.7 60 865.2 0.0 646.0 +02/10/2014 17:10 112 270 2.40 4.80 25.6 60 865.2 0.0 561.0 +02/10/2014 17:20 94 269 2.00 3.80 25.1 63 865.2 0.0 664.0 +02/10/2014 17:30 72 169 1.30 3.60 26.5 60 865.1 0.0 762.0 +02/10/2014 17:40 60 165 1.70 5.00 26.8 62 865.0 0.0 887.0 +02/10/2014 17:50 90 146 2.00 4.70 26.7 65 864.9 0.0 349.0 +02/10/2014 18:00 103 185 2.50 5.20 25.2 69 864.9 0.0 802.0 +02/10/2014 18:10 104 181 2.20 4.50 24.9 70 864.8 0.0 231.0 +02/10/2014 18:20 98 148 2.30 4.70 23.8 74 864.8 0.0 230.0 +02/10/2014 18:30 84 180 1.50 3.50 23.6 75 864.6 0.0 404.0 +02/10/2014 18:40 84 272 1.30 3.50 24.6 71 864.6 0.0 745.0 +02/10/2014 18:50 75 258 1.30 3.30 25.5 66 864.5 0.0 378.0 +02/10/2014 19:00 78 169 1.50 3.80 26.1 61 864.3 0.0 990.0 +02/10/2014 19:10 116 182 1.70 4.30 26.8 61 864.3 0.0 791.0 +02/10/2014 19:20 99 187 2.00 4.60 24.8 70 864.3 0.0 231.0 +02/10/2014 19:30 101 174 1.90 4.80 24.7 72 864.2 0.0 426.0 +02/10/2014 19:40 99 253 2.20 4.40 24.7 70 864.1 0.0 612.0 +02/10/2014 19:50 107 232 1.90 4.20 25.6 70 864.0 0.0 534.0 +02/10/2014 20:00 97 211 1.90 4.50 26.1 67 863.9 0.0 411.0 +02/10/2014 20:10 88 172 1.80 4.40 24.7 69 863.9 0.0 378.0 +02/10/2014 20:20 97 179 2.10 4.00 25.1 69 863.8 0.0 419.0 +02/10/2014 20:30 101 223 2.50 4.70 24.6 69 863.7 0.0 372.0 +02/10/2014 20:40 122 202 2.90 6.00 24.6 70 863.6 0.0 430.0 +02/10/2014 20:50 104 196 1.90 4.10 24.0 72 863.5 0.0 210.0 +02/10/2014 21:00 84 141 1.70 3.50 23.4 75 863.5 0.0 196.0 +02/10/2014 21:10 100 200 1.30 3.00 23.8 73 863.4 0.0 255.0 +02/10/2014 21:20 110 239 1.90 4.00 23.9 72 863.3 0.0 253.0 +02/10/2014 21:30 116 230 2.00 4.10 22.9 80 863.3 0.0 106.0 +02/10/2014 21:40 128 241 2.10 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19.7 96 864.8 0.0 0.0 +03/10/2014 00:40 114 222 1.20 2.50 19.7 97 864.9 0.0 -1.0 +03/10/2014 00:50 122 209 1.10 2.10 19.6 97 865.0 0.0 0.0 +03/10/2014 01:00 138 278 1.00 2.10 19.6 97 865.1 0.0 0.0 +03/10/2014 01:10 158 328 0.70 2.00 19.4 98 865.2 0.0 -1.0 +03/10/2014 01:20 110 174 0.80 1.70 19.3 98 865.4 0.0 -1.0 +03/10/2014 01:30 132 348 0.90 2.00 19.4 98 865.6 0.0 0.0 +03/10/2014 01:40 185 242 1.10 2.60 19.3 98 865.7 0.0 0.0 +03/10/2014 01:50 188 237 1.00 2.00 19.2 99 865.8 0.0 -1.0 +03/10/2014 02:00 174 245 0.90 2.00 19.2 99 865.9 0.0 0.0 +03/10/2014 02:10 172 314 0.80 1.80 19.2 98 866.1 0.0 0.0 +03/10/2014 02:20 241 349 0.50 1.10 19.2 98 866.2 0.0 -1.0 +03/10/2014 02:30 254 360 0.60 1.20 19.1 98 866.4 0.0 -1.0 +03/10/2014 02:40 259 318 1.00 1.80 19.0 99 866.6 0.0 -1.0 +03/10/2014 02:50 242 299 1.00 2.00 19.1 99 866.7 0.0 -1.0 +03/10/2014 03:00 223 300 1.10 2.40 19.1 99 866.8 0.0 0.0 +03/10/2014 03:10 215 299 1.00 2.20 19.2 99 866.8 0.0 0.0 +03/10/2014 03:20 201 255 1.00 2.30 19.2 99 867.0 0.0 0.0 +03/10/2014 03:30 212 262 1.30 2.40 19.2 99 867.1 0.0 0.0 +03/10/2014 03:40 217 298 1.10 2.40 19.2 99 867.2 0.0 0.0 +03/10/2014 03:50 247 309 1.00 2.10 19.2 99 867.2 0.0 0.0 +03/10/2014 04:00 253 315 1.20 2.50 19.3 99 867.1 0.0 0.0 +03/10/2014 04:10 254 324 1.30 2.80 19.3 99 867.0 0.0 0.0 +03/10/2014 04:20 252 320 1.30 2.90 19.3 99 867.0 0.0 0.0 +03/10/2014 04:30 258 41 1.10 2.00 19.3 99 867.0 0.0 -1.0 +03/10/2014 04:40 248 326 1.20 2.40 19.1 99 867.0 0.0 -1.0 +03/10/2014 04:50 257 319 1.30 2.50 19.1 99 867.0 0.0 0.0 +03/10/2014 05:00 266 328 1.30 2.40 19.1 99 867.0 0.0 -1.0 +03/10/2014 05:10 265 9 1.10 2.10 19.2 99 866.9 0.0 -1.0 +03/10/2014 05:20 259 293 1.30 2.60 19.1 99 866.8 0.0 -1.0 +03/10/2014 05:30 226 285 0.90 1.70 19.1 99 866.8 0.0 -1.0 +03/10/2014 05:40 224 289 0.80 1.20 19.1 99 866.7 0.0 -1.0 +03/10/2014 05:50 231 280 0.60 1.20 19.1 99 866.7 0.0 0.0 +03/10/2014 06:00 225 274 0.60 1.20 19.2 99 866.7 0.0 -1.0 +03/10/2014 06:10 237 286 1.00 1.90 19.1 98 866.6 0.0 -1.0 +03/10/2014 06:20 220 348 0.70 1.70 19.1 97 866.5 0.0 -1.0 +03/10/2014 06:30 246 299 0.70 1.40 19.0 98 866.4 0.0 -1.0 +03/10/2014 06:40 208 265 0.90 2.00 18.8 98 866.5 0.0 -1.0 +03/10/2014 06:50 111 217 0.50 2.00 18.9 98 866.5 0.0 -1.0 +03/10/2014 07:00 299 35 0.60 1.30 18.9 98 866.5 0.0 -1.0 +03/10/2014 07:10 241 286 0.60 1.50 18.9 99 866.5 0.0 -1.0 +03/10/2014 07:20 218 281 0.90 1.80 19.1 97 866.5 0.0 -1.0 +03/10/2014 07:30 145 261 0.60 1.50 19.3 96 866.6 0.0 -1.0 +03/10/2014 07:40 141 260 0.60 1.50 19.3 96 866.5 0.0 0.0 +03/10/2014 07:50 229 84 0.50 1.40 19.3 96 866.4 0.0 -1.0 +03/10/2014 08:00 0 0 0.00 0.00 19.2 97 866.3 0.0 -1.0 +03/10/2014 08:10 250 294 0.70 1.50 19.0 97 866.2 0.0 -1.0 +03/10/2014 08:20 257 319 0.80 1.60 19.0 98 866.2 0.0 -1.0 +03/10/2014 08:30 253 315 0.90 1.60 19.0 98 866.1 0.0 -1.0 +03/10/2014 08:40 224 273 1.00 1.80 19.0 98 866.2 0.0 -1.0 +03/10/2014 08:50 244 281 0.70 1.20 18.9 98 866.2 0.0 -1.0 +03/10/2014 09:00 243 273 0.90 1.70 18.8 98 866.2 0.0 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+03/10/2014 14:50 diff --git a/Dia1/files/VR23_10M.xls b/Dia1/files/VR23_10M.xls new file mode 100644 index 0000000..39a741f Binary files /dev/null and b/Dia1/files/VR23_10M.xls differ diff --git a/Dia1/files/Xalapa_2014_datos.csv b/Dia1/files/Xalapa_2014_datos.csv new file mode 100644 index 0000000..6452015 --- /dev/null +++ b/Dia1/files/Xalapa_2014_datos.csv @@ -0,0 +1,1569 @@ +# Estación meteorológica Xalapa-Enríquez, México, WMO_ID=76688, selección desde 01.01.2014 hasta 03.10.2014, todos los días +# Codificación: UTF-8 +# Los datos han sido presentados por el sitio web "Real pronóstico", rp5.ru +# Por favor, al utilizar los datos mencione este sitio. +# Determinación de los parámetros meteorológicos en el enlace: http://dev.rp5.ru.local/archive.php?wmo_id=27612&lang=en http://rp5.ru/archive.php?wmo_id=76688&lang=es +# +"Hora local en Xalapa-Enríquez";"T";"Po";"P";"Pa";"U";"DD";"Ff";"ff10";"ff3";"N";"WW";"W1";"W2";"Tn";"Tx";"Cl";"Nh";"H";"Cm";"Ch";"VV";"Td";"RRR";"tR";"E";"Tg";"E'";"sss" +"03.10.2014 10:00";"24.2";"651.2";"761.3";"0.9";"71";"Viento procedente del estenoreste";"1";"";"";"";" ";"";"";"";"";"";"";"";"";"";"";"18.5";"Sin precipitación";"3";"Seco (sin ranuras, polvo visible o arena movidiza)";"";"";""; +"03.10.2014 07:00";"17.8";"650.3";"762.8";"0.6";"99";"Viento procedente del oestesuroeste";"1";"";"";"";" ";"";"";"17.8";"";"";"";"";"";"";"";"17.7";"Sin precipitación";"3";"Seco (sin ranuras, polvo visible o arena movidiza)";"";"";""; +"03.10.2014 04:00";"18.9";"649.7";"761.7";"-0.4";"98";"Viento procedente del oestesuroeste";"1";"";"";"";" ";"";"";"";"";"";"";"";"";"";"";"18.6";"Sin precipitación";"3";"Seco (sin ranuras, polvo visible o arena movidiza)";"";"";""; +"03.10.2014 01:00";"19.1";"650.1";"762.0";"";"99";"Viento procedente del sur-oeste";"1";"";"";"";" 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"Esta libreta describe el proceso de instalacion mas sencillo para tener un ambiente de computo basado en [IPython](http://ipython.org/) en su computadora.\n", + "\n", + "![http://ipython.org/_static/IPy_header.png](http://ipython.org/_static/IPy_header.png)\n", + "\n", + "[IPython](http://ipython.org/) es un conjunto de herramientas originalmente desarrolladas para hacer mas facil el trabajo de cientificos usando Python y datos. Permite combinar Python de manera exploratorio e interactiva con otros programas e incluso con texto y ecuaciones.\n", + "\n", + "*IPython no es un lenguaje de programacion distinto, es solo un conjunto de programas para trabajar con Python.*" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Instalando IPython\n", + "\n", + "Hay varias formas de instalar Python y el ambiente de IPython Notebook. " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false, + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "HTML('')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Windows/MAC-OSX\n", + "Si estan usando Windows o MAC OS X, recomendamos descargar e instalar [Anaconda](http://continuum.io/downloads.html), que es un instaladaor de Python que contiene un conjunto herramientas utiles para empezar a desarrollar programas (incluyendo IPython Notebook).\n", + "\n", + "##Linux\n", + "Si estan usando GNU/Linux, Anaconda tambien esta disponible, pero se recomienda tratar de instalar los programas usando los repositorios de la distribucion (ver Otras Alternativas)." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "**Anaconda es un archivo relativamente grande para descargar (~ 300Mb) asi que se recomieda descargarlo antes del inicio del curso.**\n", + "\n", + "Anaconda viene con una version propia de Python 2.7, IPython Notebook, mas otras librerias como `matplotlib`, y un administrador de paquetes (\"conda\") que puede usarse para instalar de manera muy sencilla otros paquetes o versiones de Python." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false, + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "HTML('')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## Otras Alternativas\n", + "\n", + "**Esta seccion es solamente si no quieren o no pueden usar Anaconda**\n", + "\n", + "Anaconda (ver arriba) es la forma mas sencilla de tener un sistema funcionando. Existen otras opciones de instalacion que pueden pronar si desean intentar algo diferente:\n", + "\n", + "* En Linux, la mayoria de los adminstradores de paquetes incluye IPython Notebook. Por ejemplo, en Ubuntu o Debian:\n", + "\n", + " sudo apt-get install ipython-notebook python-matplotlib\n", + "\n", + "* Si tienen instalado 'pip', pueden obtener IPython y matplotlib via 'pip' de la siguiente manera:\n", + "\n", + " pip install ipython[notebook]\n", + "\n", + "(En OS X puede ser necesario tener Xcode para compilar las dependencias.)\n", + "\n", + "* Si no pueden instalar IPython Notebook o hacerlo funcionar en su computadore, existe un servicio web llamado [Wakari](https://www.wakari.io/) que es gratis. En este caso los programas no se ejecutan en su computadora, sino \"en la nube\" en los servidores de Wakari, y solamente veran los resultados en su navegador." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false, + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "HTML('')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Iniciando las IPython Notebook\n", + "\n", + "La interaccion con IPython Notebook es a traves de un navegador de internet. El programa crea un \"servidor web\" local en su computadora al que se conecta.\n", + "\n", + "En Windows, puede encontrarse un programa para IPython Notebook bajo Anaconda en el menu de inicio.\n", + "\n", + "En Linux o en OS X, IPython Notebook puede inicializarse desde la linea de comando, abriendo una terminal, navegando a un directorio donde se desean guardar los archivos y documentos de las libretas (usando 'cd') y desde esa ruta escribiendo el siguiente comando:\n", + "\n", + " ipython notebook" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Si observan la terminal, veran algo como esto:\n", + "\n", + " [NotebookApp] Using existing profile dir: u'/home/gus/.ipython/profile_default'\n", + " [NotebookApp] Serving notebooks from /home/gus/workshops\n", + " [NotebookApp] The IPython Notebook is running at: http://127.0.0.1:8888/\n", + " [NotebookApp] Use Control-C to stop this server and shut down all kernels.\n", + "\n", + "Automaticamente debe abrirse un navegador de internet mostrando la interface de IPython Notebook. En caso contrario puede copiarse la direccion en la barra del navegador.\n", + "\n", + "A pesar de que interactuan con IPython Notebook usando su navegador, Notebook corre y ejecuta en su computadora en ese ventana. Solamente ustedes tienen acceso a ella." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Ejercicio\n", + "\n", + "Verifiquen que el ambiente de IPython incluyendo IPython Notebook esta correctamente instalado en su sistema, y ejecuten esta libreta.\n", + "\n", + "Ejecuten las siguientes instrucciones en una celda para verificar que tienen las librerias necesarias:\n", + "\n", + " import numpy as np\n", + " print 'NumPy version: ', np.__version__\n", + " \n", + " import matplotlib as mlib\n", + " print 'Matplotlib version: ',mlib.__version__\n", + " \n", + " import sympy as sp\n", + " print 'SymPy version: ',sp.__version__\n", + " \n", + " import pandas as pd\n", + " print 'Pandas version: ',pd.__version__\n", + "\n", + "**Nota** Si no instalaron el ambiente previo al inicio del curso, soliciten al instructor un _usb_ con el instalador de *Anaconda*, esto con el fin de evitar una congestion en el ancho de banda de la conexion a internet." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NumPy version: 1.9.2\n", + "Matplotlib version: 1.4.3\n", + "SymPy version: 0.7.6\n", + "Pandas version: 0.16.2\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "print 'NumPy version: ', np.__version__\n", + "\n", + "import matplotlib as mlib\n", + "print 'Matplotlib version: ',mlib.__version__\n", + "\n", + "import sympy as sp\n", + "print 'SymPy version: ',sp.__version__\n", + "\n", + "import pandas as pd\n", + "print 'Pandas version: ',pd.__version__" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "No olviden guardar los cambios hechos en su documento antes de continuar con nuestro siguiente tema, una [introduccion rapida a IPython.](Lib01_Esenciales_IPython_Notebook.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "ename": "ImportError", + "evalue": "No module named Android", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mAndroid\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mdroide\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;31mImportError\u001b[0m: No module named Android" + ] + } + ], + "source": [ + "import Android as droide" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "droide.tts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia1/notebooks/D1S1L2_Instalando_SL4A.ipynb b/Dia1/notebooks/D1S1L2_Instalando_SL4A.ipynb new file mode 100644 index 0000000..c3fc003 --- /dev/null +++ b/Dia1/notebooks/D1S1L2_Instalando_SL4A.ipynb @@ -0,0 +1,216 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true, + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%run ../talktools.py" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Dia 1, Sesion 1, Libreta 2: Scripting Layer for Android SL4A\n", + "\n", + "El Scripting Layer for Android, SL4A, es un aplicacion de codigo abierto que permite ejecutar programas desarrollados en lenguajes interpretados sobre el SO de Android, y proporciona una API de alto nivel que permite a los programas interactuar con el dispositivo Android facilitando el acceso a los datos de los sensores, enviar mensajes de texto, correos electronicos, etc.\n", + "\n", + "En esta libreta se describen los pasos para instalar y configurar el dispositivo movil y el sistema local." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Instalando SL4A\n", + "\n", + "Para instalar el SL4A:\n", + "1. Habilitar \"Fuentes desconocidas\" (Unknown Sources) en la seccion de configuracion (Application Settings)\n", + "2. Instalar un programa Barcode Scanner.\n", + "3. Escanear el codigo para descargar el APK.\n", + "4. Instalar presionando el archivo APK descargado.\n", + "\n", + "[Sl4A](https://github.com/kuri65536/sl4a/releases/download/6.1.1/sl4a-r6.1.1-arm-debug.apk)\n", + "![QR code for binary(apk)][qrcodeSL4A]\n", + "[qrcodeSL4A]: http://chart.apis.google.com/chart?cht=qr&chs=200x200&chl=https://github.com/kuri65536/sl4a/releases/download/6.1.1/sl4a-r6.1.1-arm-debug.apk&nonsense=something_that_ends_with.png\n", + "\n", + "[Py4A](https://github.com/kuri65536/python-for-android/releases/download/r26/PythonForAndroid-debug-r26.apk)\n", + "![QR code for binary(apk)][qrcodePy4A]\n", + "[qrcodePy4A]: http://chart.apis.google.com/chart?cht=qr&chs=200x200&chl=https://github.com/kuri65536/python-for-android/releases/download/r26/PythonForAndroid-debug-r26.apk&nonsense=something_that_ends_with.png" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Video de instalacion del interprete de Python\n", + "A continuacion una animacion con los pasos completos para instalar el interprete de Python en su dispositivo una vez instalado el SL4A:\n", + "\n", + "![sl4a loop](../files/sl4a_install.gif)\n", + "\n", + "# Revisando configuracion\n", + "Al terminar el proceso de instalacion, seleccionen Python del menu de interpretes y escriban en las lineas de comando las siguientes lineas de codigo:\n", + "\n", + " from android import Android\n", + " droid = Android()\n", + " droid.ttsSpeak(\"hola clase\")\n", + "\n", + "Presionando la tecla \"Return\" al termino de cada linea:\n", + "\n", + "![sl4a loop](../files/sl4a_interprete2.png)\n", + "\n", + "Si escucharon a su dispositivo repetir \"hola clase\" entonces instalaron exitosamente Python en su Android, felicidades! A continuacion conectaremos su computadora con el dispositivo para controlarlo a traves de Python." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false + }, + "source": [ + "# Recursos\n", + "\n", + "[SL4A en github](https://github.com/kuri65536/sl4a)\n", + "\n", + "[API Reference](https://github.com/damonkohler/sl4a/blob/wiki/ApiReference.md)\n", + "\n", + "[Muchos ejemplos](https://github.com/damonkohler/sl4a/blob/wiki/Tutorials.md)\n", + "\n", + "[Tutorial en Python central](http://pythoncentral.io/python-for-android-the-scripting-layer-sl4a/)\n", + "\n", + "[Videos en YouTube](https://www.youtube.com/playlist?list=PL07A81E6CE96F158B)\n", + "\n", + "[Mas videos en YouTube](https://www.youtube.com/user/damonkohler#p/c/07A81E6CE96F158B/0/4bsbzLEEdQs)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia1/notebooks/D1S2L1_Configurando_Python_Android_local.ipynb b/Dia1/notebooks/D1S2L1_Configurando_Python_Android_local.ipynb new file mode 100644 index 0000000..48ad270 --- /dev/null +++ b/Dia1/notebooks/D1S2L1_Configurando_Python_Android_local.ipynb @@ -0,0 +1,322 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true, + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%run ../talktools.py" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Dia 1, Sesion 2, Libreta 1: Configurando Python localmente \n", + "\n", + "En esta libreta describiremos como configurar Python en su computadora local para poder controlar el dispositivo movil a traves del SL4A. \n", + "\n", + "### Prerequisitos\n", + "1. Dispositivo movil con SL4A instalado y con el interprete de Python\n", + "2. Modulo `android.py` en el mismo folder donde se ejecuta la libreta.\n", + "2. Computadora local con el ecosistema de IPython Notebooks\n", + "3. Cable USB para conectar el dispositivo a la computadora" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Configuracion\n", + "\n", + "Para controlar el dispositivo _Android_ desde el sistema local o _host_, es necesario, primero, autorizar el dispositivo para modo desarrollador en USB.\n", + "\n", + "Asegurarse que el controlador de USB para su dispositivo esta configurado correctamente. En Windows una forma rapida de lograr esto es instalando [Kies](http://www.samsung.com/mx/support/usefulsoftware/KIES/), o asegurandose que el [controlador de USB de Google](http://developer.android.com/sdk/win-usb.html) este instalado.\n", + "\n", + "El comando **adb** debe estar disponible en el ambiente de su sistema local. Para esto dirigirse al sitio de [desarrollo de android](http://developer.android.com/sdk/index.html#Other) y descargar el instalador del SDK de Android correspondiente a su plataforma. El comando **adb** se instala con el paquete Android SDK Platform-tools y se encuentra en el directorio correspondiente.\n", + "\n", + "Es conveniente crear una variable de sistema (windows) para acceder rapidamente al comando. [Las instrucciones estan aqui.](http://www.redmondpie.com/how-to-set-up-android-adb-and-fastboot-on-windows-tutorial/)\n", + "\n", + "El comando\n", + "\n", + " !adb devices\n", + "\n", + "debera detectar su dispositivo si todo esta correctamente instalado." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "List of devices attached\n", + "09c3400a\tunauthorized\n", + "\n" + ] + } + ], + "source": [ + "!adb devices" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Si el comando identifica algun dispositivo quiere decir que esta detectado y esperando conexion remota.\n", + "\n", + "El puerto 9999 debe estar configurado en la variable de ambiente `AP_PORT`, esto puede lograrse escribiendo desde una linea de comando\n", + "\n", + " set AP_PORT=9999\n", + "\n", + "y estara disponible unicamente para una sesion de IPython Notebooks iniciada desde la misma linea de comando que se definio la variable. Por este razon es conveniente configurarla como una variable del sistema, siguiendo pasos similares a la configuracion del PATH para ejecutar el comando **adb**.\n", + "\n", + "Inicien un servicio PRIVADO de SL4A en el dispositivo y repitan el comando `adb devices` para cerciorarse que el dispositivo esta siendo identificado. Despues, determinen el puerto del dispositivo en el que se esta escuchando el servicio de SL4A y escriban este numero al final del siguiente comando:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "error: device unauthorized. Please check the confirmation dialog on your device.\n", + "error: device unauthorized. Please check the confirmation dialog on your device.\n" + ] + } + ], + "source": [ + "!adb forward tcp:9999 tcp:" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "El dispositivo debe estar ahora conectado con su sesion de IPython y pueden controlarlo usando la clase `android.py`.\n", + "\n", + "Conviene colocar este modulo en el sitio apropiado donde Python localiza los modulos al iniciar el interprete:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['',\n", + " 'C:\\\\Users\\\\horacio\\\\Anaconda\\\\python27.zip',\n", + " 'C:\\\\Users\\\\horacio\\\\Anaconda\\\\DLLs',\n", + " 'C:\\\\Users\\\\horacio\\\\Anaconda\\\\lib',\n", + " 'C:\\\\Users\\\\horacio\\\\Anaconda\\\\lib\\\\plat-win',\n", + " 'C:\\\\Users\\\\horacio\\\\Anaconda\\\\lib\\\\lib-tk',\n", + " 'C:\\\\Users\\\\horacio\\\\Anaconda',\n", + " 'c:\\\\users\\\\horacio\\\\anaconda\\\\lib\\\\site-packages\\\\sphinx-1.3.1-py2.7.egg',\n", + " 'c:\\\\users\\\\horacio\\\\anaconda\\\\lib\\\\site-packages\\\\setuptools-18.1-py2.7.egg',\n", + " 'C:\\\\Users\\\\horacio\\\\Anaconda\\\\lib\\\\site-packages',\n", + " 'C:\\\\Users\\\\horacio\\\\Anaconda\\\\lib\\\\site-packages\\\\cryptography-0.9.1-py2.7-win-amd64.egg',\n", + " 'C:\\\\Users\\\\horacio\\\\Anaconda\\\\lib\\\\site-packages\\\\win32',\n", + " 'C:\\\\Users\\\\horacio\\\\Anaconda\\\\lib\\\\site-packages\\\\win32\\\\lib',\n", + " 'C:\\\\Users\\\\horacio\\\\Anaconda\\\\lib\\\\site-packages\\\\Pythonwin',\n", + " 'C:\\\\Users\\\\horacio\\\\Anaconda\\\\lib\\\\site-packages\\\\IPython\\\\extensions',\n", + " 'C:\\\\Users\\\\horacio\\\\.ipython']" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import sys\n", + "sys.path" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Observen como al final de la lista aparece un directorio local `.ipython` bajo su usuario. Puede copiar el modulo `android.py` ahi, e inmediatamente estara disponible en el interprete (y para siempre de ahora en adelante), haciendo posible su invocacion" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import android" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=0, result=None, error=None)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide = android.Android()\n", + "droide.ttsSpeak(\"Hola clase\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia1/notebooks/Tutoriales/Lib00_Esenciales_IPython_Notebook.ipynb b/Dia1/notebooks/Tutoriales/Lib00_Esenciales_IPython_Notebook.ipynb new file mode 100644 index 0000000..5efef19 --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib00_Esenciales_IPython_Notebook.ipynb @@ -0,0 +1,474 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:5644b82ef803aae9cae630da1da689899886aa678756f09404cc4e3ffa1fa9a0" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "Instalacion y configuracion de IPython\n", + "=====\n", + "\n", + "Esta libreta describe el proceso de instalacion mas sencillo para tener un ambiente de computo basado en [IPython](http://ipython.org/) en su computadora.\n", + "\n", + "![http://ipython.org/_static/IPy_header.png](http://ipython.org/_static/IPy_header.png)\n", + "\n", + "[IPython](http://ipython.org/) es un conjunto de herramientas originalmente desarrolladas para hacer mas facil el trabajo de cientificos usando Python y datos. Permite combinar Python de manera exploratorio e interactiva con otros programas e incluso con texto y ecuaciones.\n", + "\n", + "*IPython no es un lenguaje de programacion distinto, es solo un conjunto de programas para trabajar con Python.*" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Instalando IPython\n", + "\n", + "Hay varias formas de instalar Python y el ambiente de IPython Notebook. " + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "HTML('')" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "html": [ + "" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 2, + "text": [ + "" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Windows/MAC-OSX\n", + "Si estan usando Windows o MAC OS X, recomendamos descargar e instalar [Anaconda](http://continuum.io/downloads.html), que es un instaladaor de Python que contiene un conjunto herramientas utiles para empezar a desarrollar programas (incluyendo IPython Notebook).\n", + "\n", + "##Linux\n", + "Si estan usando GNU/Linux, Anaconda tambien esta disponible, pero se recomienda tratar de instalar los programas usando los repositorios de la distribucion (ver Otras Alternativas)." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "**Anaconda es un archivo relativamente grande para descargar (~ 300Mb) asi que se recomieda descargarlo antes del inicio del curso.**\n", + "\n", + "Anaconda viene con una version propia de Python 2.7, IPython Notebook, mas otras librerias como `matplotlib`, y un administrador de paquetes (\"conda\") que puede usarse para instalar de manera muy sencilla otros paquetes o versiones de Python." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "HTML('')" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "html": [ + "" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 3, + "text": [ + "" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## Otras Alternativas\n", + "\n", + "**Esta seccion es solamente si no quieren o no pueden usar Anaconda**\n", + "\n", + "Anaconda (ver arriba) es la forma mas sencilla de tener un sistema funcionando. Existen otras opciones de instalacion que pueden pronar si desean intentar algo diferente:\n", + "\n", + "* En Linux, la mayoria de los adminstradores de paquetes incluye IPython Notebook. Por ejemplo, en Ubuntu o Debian:\n", + "\n", + " sudo apt-get install ipython-notebook python-matplotlib\n", + "\n", + "* Si tienen instalado 'pip', pueden obtener IPython y matplotlib via 'pip' de la siguiente manera:\n", + "\n", + " pip install ipython[notebook]\n", + "\n", + "(En OS X puede ser necesario tener Xcode para compilar las dependencias.)\n", + "\n", + "* Si no pueden instalar IPython Notebook o hacerlo funcionar en su computadore, existe un servicio web llamado [Wakari](https://www.wakari.io/) que es gratis. En este caso los programas no se ejecutan en su computadora, sino \"en la nube\" en los servidores de Wakari, y solamente veran los resultados en su navegador." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "HTML('')" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "html": [ + "" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 4, + "text": [ + "" + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## Nota acerca de Python 3\n", + "\n", + "Anaconda y otros instaladores vienen con Python version 2.\n", + "\n", + "El mundo de Python esta migrando lentamente hacia Python 3. IPython esta disponible para ambos 2 & 3 y Anaconda permite elegir entre 2.7 y 3.4.\n", + "\n", + "Entre Python 2 y Python 3 hay algunas incompatibilidades en la sintaxis del lenguaje. Los programas que presentaremos usaremos en este curso estan dise\u00f1ados para Python 2 y es muy probable que no funcionen correctamente con Python 3 aun." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Iniciando las IPython Notebook\n", + "\n", + "La interaccion con IPython Notebook es a traves de un navegador de internet. El programa crea un \"servidor web\" local en su computadora al que se conecta.\n", + "\n", + "En Windows, puede encontrarse un programa para IPython Notebook bajo Anaconda en el menu de inicio.\n", + "\n", + "En Linux o en OS X, IPython Notebook puede inicializarse desde la linea de comando, abriendo una terminal, navegando a un directorio donde se desean guardar los archivos y documentos de las libretas (usando 'cd') y desde esa ruta escribiendo el siguiente comando:\n", + "\n", + " ipython notebook" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Si observan la terminal, veran algo como esto:\n", + "\n", + " [NotebookApp] Using existing profile dir: u'/home/gus/.ipython/profile_default'\n", + " [NotebookApp] Serving notebooks from /home/gus/workshops\n", + " [NotebookApp] The IPython Notebook is running at: http://127.0.0.1:8888/\n", + " [NotebookApp] Use Control-C to stop this server and shut down all kernels.\n", + "\n", + "Automaticamente debe abrirse un navegador de internet mostrando la interface de IPython Notebook. En caso contrario puede copiarse la direccion en la barra del navegador.\n", + "\n", + "A pesar de que interactuan con IPython Notebook usando su navegador, Notebook corre y ejecuta en su computadora en ese ventana. Solamente ustedes tienen acceso a ella." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Ejercicio\n", + "\n", + "Verifiquen que el ambiente de IPython incluyendo IPython Notebook esta correctamente instalado en su sistema, y ejecuten esta libreta.\n", + "\n", + "Ejecuten las siguientes instrucciones en una celda para verificar que tienen las librerias necesarias:\n", + "\n", + " import numpy as np\n", + " print 'NumPy version: ', np.__version__\n", + " \n", + " import matplotlib as mlib\n", + " print 'Matplotlib version: ',mlib.__version__\n", + " \n", + " import sympy as sp\n", + " print 'SymPy version: ',sp.__version__\n", + " \n", + " import pandas as pd\n", + " print 'Pandas version: ',pd.__version__\n", + "\n", + "**Nota** Si no instalaron el ambiente previo al inicio del curso, soliciten al instructor un _usb_ con el instalador de *Anaconda*, esto con el fin de evitar una congestion en el ancho de banda de la conexion a internet." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import numpy as np\n", + "print 'NumPy version: ', np.__version__\n", + "\n", + "import matplotlib as mlib\n", + "print 'Matplotlib version: ',mlib.__version__\n", + "\n", + "import sympy as sp\n", + "print 'SymPy version: ',sp.__version__\n", + "\n", + "import pandas as pd\n", + "print 'Pandas version: ',pd.__version__" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "NumPy version: 1.8.1\n", + "Matplotlib version: 1.3.1\n", + "SymPy version: 0.7.4.1\n", + "Pandas version: 0.14.1\n" + ] + } + ], + "prompt_number": 14 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "No olviden guardar los cambios hechos en su documento antes de continuar con nuestro siguiente tema, una [introduccion rapida a IPython.](Lib01_Esenciales_IPython_Notebook.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib01_Esenciales_IPython_Notebook.ipynb b/Dia1/notebooks/Tutoriales/Lib01_Esenciales_IPython_Notebook.ipynb new file mode 100644 index 0000000..c25672f --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib01_Esenciales_IPython_Notebook.ipynb @@ -0,0 +1,223 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:f53cfd4851ed65decc957c8731063b25ed23c0b58e9a83a3ef96140e225e8f7f" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": true, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# La libreta de IPython (IPython Notebook)\n", + "\n", + "La IPython notebook, parte del proyecto de IPython(ipython.org) es un ambiente computacional interactivo web (se ejecuta en un navegador por medio de un servidor web) en el cual se puede combinar la ejecucionde codigo, texto, matematicas, graficas y contenido, en un solo documento.\n", + "\n", + "![IPython Notebook](http://ipython.org/_static/ipy_0.13.png)" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "HTML('')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 3, + "text": [ + "" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Introducci\u00f3n r\u00e1pida a IPython\n", + "\n", + "IPython ofrece una arquitectura para c\u00f3mputo interactivo con:\n", + "\n", + "* Terminales de `shells interactivos`.\n", + "* Una `libreta web` con soporte para c\u00f3digo, texto, expresiones matem\u00e1ticas, gr\u00e1ficas y contenido digital embebido.\n", + "* Soporte para `visualizaci\u00f3n interactiva de datos` y el uso de herramientos para GUI.\n", + "* Int\u00e9rpretes flexibles y embebibles que pueden integrarse en proyectos externos.\n", + "* Simpleza de uso y herramientas para c\u00f3mputo de paralelo y de alto rendimiento.\n", + "\n", + "Algunas de las razones por las que yo uso IPython son:\n", + "\n", + "* Un shell `superior` y un reemplazo de la linea de comando del SO\n", + "* Es posible graficar en una consola o en las Libretas\n", + "* Funciones llamadas `magic` facilitan el uso del sistema\n", + "* Eficiencia num\u00e9rica y excelente desempe\u00f1o\n", + "* Software Libre" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Configurando el formato visual de la libreta\n", + "El entorno visual puede configurarse usando estilos en un archivo `css`. Este tambi\u00e9n puede definirlos por medio de perfiles de IPython, sin embargo esto es mas espec\u00edfico y es m\u00e1s f\u00e1cil distribuir los archivos usando este `hack`. La configuracin se encuentra en un archivo separado que se ejecuta al inicio del la libreta con la instruccion `%run talktools.py`." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Ejercicio\n", + "Ejecuten la siguiente libreta y revisen las lineas de codigo del archivo de configuracion `talktools.py`." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%load ../talktools.py" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora veamos algunos [elementos b\u00e1sicos de IPython Notebook.](Lib02_Esenciales_IPython_Notebook.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib02_Esenciales_IPython_Notebook.ipynb b/Dia1/notebooks/Tutoriales/Lib02_Esenciales_IPython_Notebook.ipynb new file mode 100644 index 0000000..7bc3a45 --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib02_Esenciales_IPython_Notebook.ipynb @@ -0,0 +1,271 @@ +{ + "metadata": { + "celltoolbar": "Slideshow", + "name": "", + "signature": "sha256:9190f7bf88ac9da4d7079bb4f51dd0b51c85a43c8b05c0df9bfa0a3cb2ced0b2" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": true, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# IPython Notebook\n", + "\n", + "![IPython Notebook](http://ipython.org/_static/ipy_0.13.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Elementos b\u00e1sicos de las libretas\n", + "Las libretas IPython Notebook (IPN) son un ambiente computacional web interactivo donde puede combinarse c\u00f3digo (escritura y ejecuci\u00f3n), texto, s\u00edmbolos matem\u00e1ticos, gr\u00e1ficas y contenido digital diverso, en un s\u00f3lo documento.\n", + "\n", + "* Ejecuci\u00f3n del contenido de una celda\n", + "* Salvando la libreta\n", + "* Ayuda y documentaci\u00f3n. \n", + "* Completando c\u00f3digo\n", + "* Celdas markdown\n", + "* Celdas %magicas" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Ejecuci\u00f3n del contenido de una celda\n", + "\n", + "* SHIFT+ENTER ejecutar\u00e1 el contenido de la celda y activar\u00e1 la celda siguiente\n", + "\n", + "\n", + "* ALT+ENTER ejecutar\u00e1 el contenido de la celda y crear\u00e1 una nueva \n", + "\n", + "\n", + "* CTRL+ENTER ejecutar\u00e1 la celda permaneciendo en la celda \n", + "\n", + "\n", + "* CTRL-m h keyboard shorcuts" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Ejemplo para ejecutar\n", + "print \"Hola clase\"" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Hola clase\n" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Salvando la libreta\n", + "CTRL-S guarda la libreta" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Algunos comandos \u00fatiles\n", + "\n", + "Los siguientes comandos, junto con la breve descripci\u00f3n que se muestra, aparecen cada vez que se inicia el int\u00e9rprete de IPython:\n", + "\n", + "`comando` | `descripci\u00f3n`\n", + "------------|----------- \n", + "? | Introduction and overview of IPython's features.\n", + "%quickref | Quick reference.\n", + "help | Python's own help system.\n", + "object? | Details about 'object', use 'object??' for extra details.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Ayuda y documentaci\u00f3n\n", + "El comando `%quickref` puede usarse para obtener un poco de informaci\u00f3n" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "#IPython -- An enhanced Interactive Python - Quick Reference Card\n", + "%quickref # now press shift-ender" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 7 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Ejercicio\n", + "Copien y peguen las lineas de codigo para el `Hola clase` de la celda correspondiente en esta libreta, modifiquen el texto y ejecuten la celda usando los distintos modos de ejecucion descritos. Finalmente guarden los cambios de la libreta." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Continuamos con los [elementos b\u00e1sicos de IPython Notebook.](Lib03_Esenciales_IPython_Notebook.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib03_Esenciales_IPython_Notebook.ipynb b/Dia1/notebooks/Tutoriales/Lib03_Esenciales_IPython_Notebook.ipynb new file mode 100644 index 0000000..aced965 --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib03_Esenciales_IPython_Notebook.ipynb @@ -0,0 +1,268 @@ +{ + "metadata": { + "celltoolbar": "Slideshow", + "name": "", + "signature": "sha256:c603562ef2f75a7078cab16256027f04e8fc36351cf89aad37c776eb97192f2f" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": true, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# IPython Notebook\n", + "\n", + "![IPython Notebook](http://ipython.org/_static/ipy_0.13.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Completando c\u00f3digo\n", + "Usando `?` seguido del nombre de una funci\u00f3n o m\u00e9todo muestra el \"docstring\". `??` despliega el c\u00f3digo fuente. Tambi\u00e9n existe funcionalidad de automaticamente completar el nombre de un objeto, variable, funci\u00f3n, m\u00e9todo, etc. Probemos con un ejemplo:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# lets degine a function with a long name.\n", + "def funcion_con_un_nombre_muy_largo_y_algo_boba(a, b):\n", + " \"\"\"\n", + " Este texto es el docstring de boba. \n", + " La funcion toma dos argumentos a y b\n", + " Regresa la suma de los argumentos a + b\n", + " No hay verificacion de errores\n", + " \"\"\"\n", + " return a+b" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 8 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# docstring o ayuda\n", + "funcion_con_un_nombre_muy_largo_y_algo_boba?" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 9 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "funcion_con_un_nombre_muy_largo_y_algo_boba??" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 10 + }, + { + "cell_type": "code", + "collapsed": true, + "input": [ + "# presionando tab se activa la funcionalidad de automaticamente completar el nombre\n", + "func" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'func' is not defined", + "output_type": "pyerr", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# presionando tab se activa la funcionalidad de automaticamente completar el nombre\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mfunc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'func' is not defined" + ] + } + ], + "prompt_number": 11 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# shift-enter ejecuta\n", + "funcion_con_un_nombre_muy_largo_y_algo_boba(5,6)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Ejercicio\n", + "\n", + "* Ejecuten cuidadosamente cada una de las celdas de esta libreta para entender como se completa codigo en IPython.\n", + "\n", + "* En una celda nueva escriban los siguiente comandos:\n", + "\n", + " import sys\n", + " sys.path.\n", + "\n", + " y describan que ocurre.\n", + "\n", + "* Al concluir guarden los cambios de la libreta." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A continuacion veremos como [usar IPython Notebook como una libreta (procesador) de texto.](Lib04_Esenciales_IPython_Notebook.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib04_Esenciales_IPython_Notebook.ipynb b/Dia1/notebooks/Tutoriales/Lib04_Esenciales_IPython_Notebook.ipynb new file mode 100644 index 0000000..695e8ad --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib04_Esenciales_IPython_Notebook.ipynb @@ -0,0 +1,284 @@ +{ + "metadata": { + "celltoolbar": "Slideshow", + "name": "", + "signature": "sha256:d8aee8569362ff701e1a03a530e7e01685464bc0bf8c211b4da1f74c8d93b980" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": true, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# IPython Notebook\n", + "\n", + "![IPython Notebook](http://ipython.org/_static/ipy_0.13.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Celdas Markdown\n", + "El tipo de una celda puede seleccionarse de la barra de herramientas que se encuentra en la parte superior de las libretas. Tambi\u00e9n puede hacerse por medio de combinaciones de teclas. Cuando se elige el tipo Markdown, se puede escribir en el formato markdown en la celda y al ejecutarla, el contenido se despliega como HTML. La sint\u00e1xis de markdown puede consultarse siguiendo [este enlace](http://daringfireball.net/projects/markdown/)\n", + "\n", + "# Este es un encabezado 1\n", + "## Este es un encabezado 2\n", + "### Este es un encabezado 3\n", + "\n", + " Beautiful is better than ugly.\n", + " Explicit is better than implicit.\n", + " Simple is better than complex.\n", + " Complex is better than complicated.\n", + " \n", + "$$e^{i\\pi}+1 = 0$$\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Imagenes\n", + "Existen diversas formas de incluir imagenes:\n", + "\n", + "[Image](http://www.lania.edu.mx/images/stories/convocatoria2012-1.png)" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from IPython.display import Image\n", + "Image(url='http://www.lania.edu.mx/images/stories/convocatoria2012-1.png')" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Videos de YouTube" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from IPython.display import YouTubeVideo\n", + "YouTubeVideo('iwVvqwLDsJo', width=200, height=200)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Tipografia\n", + "\n", + "### $\\LaTeX$\n", + "$\\LaTeX$ es un sistema de tipografia especializada para escribir matematicas. En las libretas se reproduce a traves de la libreria de javascript `mathjax`" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from IPython.display import Math\n", + "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from IPython.display import Latex\n", + "Latex(r\"\"\"\\begin{eqnarray}\n", + "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n", + "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n", + "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n", + "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n", + "\\end{eqnarray}\"\"\")" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicio\n", + "\n", + "* Asegurense de ejecutar todas las celdas de esta libreta.\n", + "\n", + "* En una celda nueva escriban texto Markdown que tenga como seccion principal (Encabezado 1) su nombre completo, como segundo encabezado su titulo profesional, seguido de una breve descripcion de sus intereses/trabajo. Finalmente bajo un tercer encabezado indiquen su estado actual en facebook y un enlace a su pagina de facebook. Finalmente escriban un mensaje corto de su experiencia hasta el momento usando Python.\n", + "\n", + "* Al concluir guarden todos los cambios del documento." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A continuacion veremos [distintas formas de ejecutar codigo en IPython Notebook.](Lib05_Esenciales_IPython_Notebook.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib05_Esenciales_IPython_Notebook.ipynb b/Dia1/notebooks/Tutoriales/Lib05_Esenciales_IPython_Notebook.ipynb new file mode 100644 index 0000000..abb0322 --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib05_Esenciales_IPython_Notebook.ipynb @@ -0,0 +1,486 @@ +{ + "metadata": { + "name": "" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": true, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 16 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# IPython Notebook\n", + "\n", + "![IPython Notebook](http://ipython.org/_static/ipy_0.13.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## User input\n", + "En el codigo que sigue, la funcion `raw_input()` se usa para ingresar informacion del usuario a la variable `raw` y mostrarla en `stdout`." + ] + }, + { + "cell_type": "code", + "collapsed": true, + "input": [ + "from IPython.display import HTML\n", + "\n", + "raw = raw_input(\"Entra informacion aqui >>> \")\n", + "\n", + "print \"Hola, \",raw" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Utilizando el `debugger` de Python - pdb" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%pdb on" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Automatic pdb calling has been turned ON\n" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "foo = 1\n", + "bar = 'a'\n", + "print foo+bar" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "ename": "TypeError", + "evalue": "unsupported operand type(s) for +: 'int' and 'str'", + "output_type": "pyerr", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mfoo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mbar\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'a'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0mfoo\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'int' and 'str'" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "> \u001b[0;32m\u001b[0m(3)\u001b[0;36m\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32m 1 \u001b[0;31m\u001b[0mfoo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0m\u001b[0;32m 2 \u001b[0;31m\u001b[0mbar\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'a'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0m\u001b[0;32m----> 3 \u001b[0;31m\u001b[0;32mprint\u001b[0m \u001b[0mfoo\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "ipdb> bt\n" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "> \u001b[0;32m\u001b[0m(3)\u001b[0;36m\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32m 1 \u001b[0;31m\u001b[0mfoo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0m\u001b[0;32m 2 \u001b[0;31m\u001b[0mbar\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'a'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0m\u001b[0;32m----> 3 \u001b[0;31m\u001b[0;32mprint\u001b[0m \u001b[0mfoo\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "ipdb> quit\n" + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## La `magia` de las libretas\n", + "IPython tiene un conjunto de `funciones magicas` predeterminadas que pueden invocarse con una sintaxis similar a la linea de comando. Existen dos tipos de \"magias\", orientadas a ejecuciones en linea y orientadas a ejecuciones de celdas completas.\n", + "\n", + "Las funciones magicas de linea se anteceden por el caracter % y tienen una funcionalidad similar a los comandos del SO: como argumento usan el resto de la linea y los argumentos se pasan sin parentesis o comillas.\n", + "\n", + "Las funciones magicas de celdas se anteceden por un doble %%, y son funciones que usan como argumento toda una celda completa, linea por linea como argumento separado.\n", + "\n", + "A continuacion algunos ejemplos utiles." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "### %timeit \n", + "La funcion magica `%timeit` puede usarse para evaluar el tiempo promedio que un loop o un pedazo de codigo tarda en completarse una vez que se ejecuta." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%timeit np.linalg.eigvals(np.random.rand(100,100))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%timeit \n", + "x = 0 # setup\n", + "for i in range(100000): #lets use range here\n", + " x = x + i**2" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%timeit \n", + "x = 0 # setup\n", + "for i in xrange(100000): #replace range with slightly improved xrange\n", + " x += i**2" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "### include more magic fuctions" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## En un navegador... puede ejecutarse javascript...\n", + "\n", + "[Fuente](http://jakevdp.github.io/blog/2013/06/01/ipython-notebook-javascript-python-communication/)" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from IPython.display import HTML\n", + "\n", + "input_form = \"\"\"\n", + "
\n", + "Variable Name:
\n", + "Variable Value:
\n", + "\n", + "
\n", + "\"\"\"\n", + "\n", + "javascript = \"\"\"\n", + "\n", + "\"\"\"\n", + "\n", + "\n", + "HTML(input_form + javascript)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "html": [ + "\n", + "
\n", + "Variable Name:
\n", + "Variable Value:
\n", + "\n", + "
\n", + "\n", + "\n" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 65, + "text": [ + "" + ] + } + ], + "prompt_number": 65 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "qwerty" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 64, + "text": [ + "'foo'" + ] + } + ], + "prompt_number": 64 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Ejercicio\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* Con el \"debugger\" de Python inactivo, ejecuten la siguiente linea de codigo en una celda y describan lo que ocurre:\n", + "\n", + " numpy.arange(100)\n", + " \n", + "* A continuacion activen el \"debugger\" de Python, `pdb` y vuelvan a ejecutar el codigo anterior. Que ocurre ahora. Cuales son las diferencias?\n", + "\n", + "* Asegurense de ejecutar todas las celdas y guardar los cambios realizados." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Continuamos viendo [distintas formas de ejecutar codigo en IPython Notebook.](Lib06_Esenciales_IPython_Notebook.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib06_Esenciales_IPython_Notebook.ipynb b/Dia1/notebooks/Tutoriales/Lib06_Esenciales_IPython_Notebook.ipynb new file mode 100644 index 0000000..ccdcfcb --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib06_Esenciales_IPython_Notebook.ipynb @@ -0,0 +1,470 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:38307968f815f143b716e7be03b424d3e0bf3e409233972efddb56ef397ae60b" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": true, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# IPython Notebook\n", + "\n", + "![IPython Notebook](http://ipython.org/_static/ipy_0.13.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejecutando comandos del shell\n", + "IPython y las libretas pueden usarse como un lenguaje para el shell agregando el poder del shell y de python. Para llamar un comando del shell se antecede `!` al comando que se desea invocar, indicando a la libreta que se quiere ejecutar un comando del sistema. \n", + "\n", + "Veamos un ejemplo en el que pasaremos el contenido del directorio actual a una variable en python y se despliega:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "filelist = !ls #read the current directory into variable\n", + "for x,i in enumerate(filelist):\n", + " print '#',x, '--->', i" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "#MAS" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Como enlazar el sistema de archivos local" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from IPython.display import FileLink, FileLinks\n", + "FileLinks('.')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "./
\n", + "  Lib06_Esenciales_IPython_Notebook.ipynb
\n", + "  Lib08_Esenciales_IPython_Notebook.ipynb
\n", + "  npm-debug.log
\n", + "  Lib01_Esenciales_IPython_Notebook.ipynb
\n", + "  Lib00_Esenciales_Instalacion.slides.html
\n", + "  Lib05_Esenciales_IPython_Notebook.ipynb
\n", + "  Lib00_Esenciales_IPython_Notebook.ipynb
\n", + "  Lib13_GIT03_RevisionControl_3aEtapa.ipynb
\n", + "  mydemo.py
\n", + "  Lib03_Esenciales_IPython_Notebook.ipynb
\n", + "  Lib12_GIT02_RevisionControl_2aEtapa.ipynb
\n", + "  Lib09_Esenciales_IPython_Notebook.ipynb
\n", + "  lania2014_ipython.slides.html
\n", + "  Lib15_GIT05_RevisionControl_Aplicacion.ipynb
\n", + "  Lib14_GIT04_RevisionControl_4aEtapa.ipynb
\n", + "  Lib02_Esenciales_IPython_Notebook.ipynb
\n", + "  Lib11_GIT01_RevisionControl_1aEtapa.ipynb
\n", + "  Lib07_Esenciales_IPython_Notebook.ipynb
\n", + "  Lib10_Esenciales_IPython_Notebook.ipynb
\n", + "  Lib04_Esenciales_IPython_Notebook.ipynb
\n", + "./.ipynb_checkpoints/
\n", + "  Lib08_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  Lib07_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  Lib15_GIT05_RevisionControl_Aplicacion-checkpoint.ipynb
\n", + "  Lib01_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  lania2014_ipython-checkpoint.ipynb
\n", + "  Lib13_GIT03_RevisionControl_3aEtapa-checkpoint.ipynb
\n", + "  Lib14_GIT04_RevisionControl_4aEtapa-checkpoint.ipynb
\n", + "  Lib05_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  Lib12_GIT02_RevisionControl_2aEtapa-checkpoint.ipynb
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\n", + "  Lib03_Esenciales_IPython_Notebook-checkpoint.ipynb
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 3, + "text": [ + "./\n", + " Lib06_Esenciales_IPython_Notebook.ipynb\n", + " Lib08_Esenciales_IPython_Notebook.ipynb\n", + " npm-debug.log\n", + " Lib01_Esenciales_IPython_Notebook.ipynb\n", + " Lib00_Esenciales_Instalacion.slides.html\n", + " Lib05_Esenciales_IPython_Notebook.ipynb\n", + " Lib00_Esenciales_IPython_Notebook.ipynb\n", + " Lib13_GIT03_RevisionControl_3aEtapa.ipynb\n", + " mydemo.py\n", + " Lib03_Esenciales_IPython_Notebook.ipynb\n", + " Lib12_GIT02_RevisionControl_2aEtapa.ipynb\n", + " Lib09_Esenciales_IPython_Notebook.ipynb\n", + " lania2014_ipython.slides.html\n", + " Lib15_GIT05_RevisionControl_Aplicacion.ipynb\n", + " Lib14_GIT04_RevisionControl_4aEtapa.ipynb\n", + " Lib02_Esenciales_IPython_Notebook.ipynb\n", + " Lib11_GIT01_RevisionControl_1aEtapa.ipynb\n", + " Lib07_Esenciales_IPython_Notebook.ipynb\n", + " Lib10_Esenciales_IPython_Notebook.ipynb\n", + " Lib04_Esenciales_IPython_Notebook.ipynb\n", + "./.ipynb_checkpoints/\n", + " Lib08_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib07_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib15_GIT05_RevisionControl_Aplicacion-checkpoint.ipynb\n", + " Lib01_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " lania2014_ipython-checkpoint.ipynb\n", + " Lib13_GIT03_RevisionControl_3aEtapa-checkpoint.ipynb\n", + " Lib14_GIT04_RevisionControl_4aEtapa-checkpoint.ipynb\n", + " Lib05_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib12_GIT02_RevisionControl_2aEtapa-checkpoint.ipynb\n", + " Lib02_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib03_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib04_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib00_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib10_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib06_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib09_Esenciales_IPython_Notebook-checkpoint.ipynb" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "FileLinks('./.ipynb_checkpoints/')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "./.ipynb_checkpoints/
\n", + "  Lib08_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  Lib07_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  Lib15_GIT05_RevisionControl_Aplicacion-checkpoint.ipynb
\n", + "  Lib01_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  lania2014_ipython-checkpoint.ipynb
\n", + "  Lib13_GIT03_RevisionControl_3aEtapa-checkpoint.ipynb
\n", + "  Lib14_GIT04_RevisionControl_4aEtapa-checkpoint.ipynb
\n", + "  Lib05_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  Lib12_GIT02_RevisionControl_2aEtapa-checkpoint.ipynb
\n", + "  Lib02_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  Lib03_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  Lib04_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  Lib00_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  Lib10_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  Lib06_Esenciales_IPython_Notebook-checkpoint.ipynb
\n", + "  Lib09_Esenciales_IPython_Notebook-checkpoint.ipynb
" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 4, + "text": [ + "./.ipynb_checkpoints/\n", + " Lib08_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib07_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib15_GIT05_RevisionControl_Aplicacion-checkpoint.ipynb\n", + " Lib01_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " lania2014_ipython-checkpoint.ipynb\n", + " Lib13_GIT03_RevisionControl_3aEtapa-checkpoint.ipynb\n", + " Lib14_GIT04_RevisionControl_4aEtapa-checkpoint.ipynb\n", + " Lib05_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib12_GIT02_RevisionControl_2aEtapa-checkpoint.ipynb\n", + " Lib02_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib03_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib04_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib00_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib10_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib06_Esenciales_IPython_Notebook-checkpoint.ipynb\n", + " Lib09_Esenciales_IPython_Notebook-checkpoint.ipynb" + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Acceso y ejecucion de codigo externos" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%load http://pastebin.com/raw.php?i=mGiV1FwY" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Salvando a [Gist](https://gist.github.com/)\n", + "Gist es una forma sencilla de compartir _snippets_ de codigo. Es posible, desde las libretas, salvar lineas de codigo especificas usando la funcion magica `pastebin`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%pastebin?" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 4 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%pastebin \"grafica\" 0-10" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 75, + "text": [ + "u'https://gist.github.com/2ddab870b06ab2ab0e65'" + ] + } + ], + "prompt_number": 75 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Conectarse a un kernel remotamente\n", + "Usando la funcion magica `%connect_info` puede obtenerse informacion sobre la conexion y usarla para acceder a esta libreta desde otra consola de python (por ejemplo desde una terminal qtconsole) usando la instruccion:\n", + "\n", + " ipython qtconsole --existing" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%connect_info" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "{\n", + " \"stdin_port\": 35508, \n", + " \"ip\": \"127.0.0.1\", \n", + " \"control_port\": 34186, \n", + " \"hb_port\": 48236, \n", + " \"signature_scheme\": \"hmac-sha256\", \n", + " \"key\": \"7e7d64e1-229b-4d4a-b1e7-e6523e0fe88b\", \n", + " \"shell_port\": 50432, \n", + " \"transport\": \"tcp\", \n", + " \"iopub_port\": 43523\n", + "}\n", + "\n", + "Paste the above JSON into a file, and connect with:\n", + " $> ipython --existing \n", + "or, if you are local, you can connect with just:\n", + " $> ipython --existing kernel-eb23a0cf-a20b-4076-affb-2df5663026ab.json \n", + "or even just:\n", + " $> ipython --existing \n", + "if this is the most recent IPython session you have started.\n" + ] + } + ], + "prompt_number": 98 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicio\n", + "\n", + "* Asegurense de ejecutar todas las celdas.\n", + "\n", + "* Crear un documento vacio usando el comando correspondiente a su shell (si usan algun SO tipo \\*NIX el comando del _shell_ es `touch` seguido del nombre que le quieren dar al documento; en windows pueden usar `echo $null >> nombre`).\n", + "\n", + "* Enlisten el archivo usando el comando apropiado de su shell (`ls` en \\*NIX, `dir` en Windows).\n", + "\n", + "* Usando el comando `FileLinks` obtengan el enlace de archivos en el directorio local y seleccionen el que se llama `Lib07_Esenciales_IPython_Notebook.ipynb` para ir a la siguiente sesion, donde veremos como [hacer graficas y manipularlas.](Lib07_Esenciales_IPython_Notebook.ipynb).\n", + "\n", + "* No olviden salvar todos los cambios de su documento antes de salir de esta libreta!" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib07_Esenciales_IPython_Notebook.ipynb b/Dia1/notebooks/Tutoriales/Lib07_Esenciales_IPython_Notebook.ipynb new file mode 100644 index 0000000..8c2f025 --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib07_Esenciales_IPython_Notebook.ipynb @@ -0,0 +1,398 @@ +{ + "metadata": { + "celltoolbar": "Slideshow", + "name": "", + "signature": "sha256:075ecd19716d010095d248212e05668d3602b6171c2e7624e2b658b77a424321" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": true, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# IPython Notebook\n", + "\n", + "![IPython Notebook](http://ipython.org/_static/ipy_0.13.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Graficando con Matplotlib\n", + "`matplotlib` es una libreria para hacer graficas en 2D que produce figuras de calidad en diversos formatos. Tambien puede usarse en un ambiente interactivo a traves de distintas plataformas. `matplotlib` puede usarse en scripts de python, en el interprete de python, en las libretas, en aplicaciones web y en por lo menos 6 interfaces graficas." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Para poder desplegar las graficas creadas con `matplotlib` en una libreta conviene ejecutar la siguiente funcion magica antes de evaluar funciones de esta libreria:\n", + "\n", + " %matplotlib inline\n", + " \n", + "En caso contrario, las graficas **no** seran desplegadas o dependiendo del \"frontend\" configurado, se abrira una nueva ventan con la grafica." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%matplotlib inline" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 10 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "CustomPlot()\n", + "num_alumnos = 20\n", + "r = 2*np.random.random(num_alumnos)\n", + "theta = 2*np.pi*np.random.rand(num_alumnos)\n", + "area = 200*r**2*np.random.random(num_alumnos)\n", + "\n", + "ax = plt.subplot(111,polar=True)\n", + "c = plt.scatter(theta, r,c=theta,s=area,alpha=.75)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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Razg6XVR3jRo1SpFsiNbW1kFlTaWnp6Ojo0MCjSJLVVUVVq9erbQaGp2kpqZi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+ "text": [ + "" + ] + } + ], + "prompt_number": 11 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# CustomPlot()\n", + "font_size = 20\n", + "figsize(11.5, 6)\n", + "\n", + "t = np.arange(0.0, 2.0, 0.01)\n", + "s = np.sin(2*np.pi*t)\n", + "plt.plot(t, s)\n", + "\n", + "plt.xlabel(r'tiempo $(s)$', fontsize=font_size)\n", + "plt.ylabel('voltaje $(mV)$', fontsize=font_size)\n", + "plt.title('Voltaje', fontsize=font_size)\n", + "plt.grid(True)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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d3JQBm2ZEcsXTx43WaHcu1J23TDDXl8e1c4oIhCJsPdNrdTgitqDkOY36R0Ls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\nRnYVjor6Lj77+5O09AyyrCh0/hRvRM9pd/HcBsW8eG5/m8ty+eqtc0n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+ "text": [ + "" + ] + } + ], + "prompt_number": 15 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# CustomPlot()\n", + "\n", + "#generate some data\n", + "n = np.array([0,1,2,3,4,5])\n", + "xx = np.linspace(-0.75, 1., 100)\n", + "x = np.linspace(0, 5, 10)\n", + "y = x ** 2\n", + "\n", + "fig, axes = plt.subplots(1, 4, figsize=(12,3))\n", + "\n", + "axes[0].scatter(xx, xx + 0.25*np.random.randn(len(xx)))\n", + "axes[0].set_title('scatter')\n", + "axes[1].step(n, n**2, lw=2)\n", + "axes[1].set_title('step')\n", + "axes[2].bar(n, n**2, align=\"center\", width=0.5, alpha=0.5)\n", + "axes[2].set_title('bar')\n", + "axes[3].fill_between(x, x**2, x**3, color=\"green\", alpha=0.5);\n", + "axes[3].set_title('fill')\n", + "\n", + "for i in range(4):\n", + " axes[i].set_xlabel('x')\n", + "axes[0].set_ylabel('y')" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 14, + "text": [ + "" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": 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UTteute1t22Zj/34b8+ZF0aGDxqOPlvP66yUMH966BZSh0HmZiXDU0YWLTdFo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\n5AOzUQkU2gOP1LwwnHzXiBwuPszrW16POLlImbu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+ "text": [ + "" + ] + } + ], + "prompt_number": 14 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## Combinando graficas" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# CustomPlot()\n", + "font_size = 20\n", + "figsize(11.5, 6) \n", + "fig, ax = plt.subplots()\n", + "\n", + "ax.plot(xx, xx**2, xx, xx**3)\n", + "ax.set_title(r\"Combined Plot $y=x^2$ vs. $y=x^3$\", fontsize = font_size)\n", + "ax.set_xlabel(r'$x$', fontsize = font_size)\n", + "ax.set_ylabel(r'$y$', fontsize = font_size)\n", + "fig.tight_layout()\n", + "# inset\n", + "inset_ax = fig.add_axes([0.29, 0.45, 0.35, 0.35]) # X, Y, width, height\n", + "inset_ax.plot(xx, xx**2, xx, xx**3)\n", + "inset_ax.set_title(r'zoom $x=0$',fontsize=font_size)\n", + "# set axis range\n", + "inset_ax.set_xlim(-.2, .2)\n", + "inset_ax.set_ylim(-.005, .01)\n", + "# set axis tick locations\n", + "inset_ax.set_yticks([0, 0.005, 0.01])\n", + "inset_ax.set_xticks([-0.1,0,.1]);" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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jrCZv+NqRXGrv2tYB+Hl5cOB0LkfP5ukdjnBQqw6pxe51rQPw9TLqHI2oDrle\nakdyqR1Xz2WR2cLc9Ql8vScVDwM8PaAF/9cnFA+DoWybw7PeJWPLLuoENaHbB6/h4WXfyZKlmBFC\nuITSpn5fLyND2zUGYOVBWTekPHfqDnEphSYLUUfPD/wvJfkRQojzsgtMTF99jL+OZeDr5cGrQ1td\n0C035ed1JLz/LQZPI90/nI1PkP277UoxI6wmb/jakVzaxk0lF9s/j2WQKxMBiEr+Lhn4366JH22a\n+OkdjqgmuV5qR3KpHVfNZUpOIc+sPMK+U+do7OfFmze1pW+LBhW2yTl4jH+fmQNA+1cnEtCnix6h\nSjEjhHAN5Zv6wwJ86BZSl0KThXUlU+8K1+8OUV2/lQ38b1zhecmPEELAodO5PL3iCCeyCmkZ4MPb\nI9rRunHFD36Ks3LY9fB0zPkFhN52A2EPjdIpWilmRA3IG752JJe2c3MHtXXm14NnURRF52iEozie\nkc/+1Fz8vDy4pmTgv3AOcr3UjuRSO66Wy03HM3n2t1gyC0z0bFaPN29uR2DdimvFKBYLeye8Rl58\nEvU6t6XT61MxlBtDY29SzAghXELlpv6rIhrSyNeTxMwC9qac0ykqx+Kq3SGscX7gf6MLBv5LfoQQ\n7kpRFL7fm8qrUfEUmhWub9eowtTL5R1b+Cln1kbj1bAePT6ag9HPR4eIz5NiRlhN3vC1I7m0HU8P\nA8NKxs7IRAACSgb+l3Q7HN6h8WW2Fo5GrpfakVxqxxVyabIovL3pBMu2nUQBHuodwqSBYXh6XNja\ncuaPLRyd/yEYDHR9byZ+4aH2D7gSKWaEEC6hqqb+G9s3xsOgNpun5RXrEJVjcbXuENbaGJ/BuSIz\nkU39Luj/DZIfIYT7OVdo4oXfj7HqUBreRgMzrotgTPfgKruN5cYnsWf8K6AotJ06lqbXXWn/gKsg\nxYywmrzha0dyaVtN/b3pF9YAswKrD8simu6udCHVYe3tP3WoK8g5eEzX88v1UjuSS+04cy5TcgqZ\nuDKWXSdzaOjjyfzhbbm6VdVjCU05ucTcPxVTVg6BNwyk1dMP2Dnai5NiRgjhEi7W1H9zR/XGddWh\ns5gt7j0RgCt0h6ip+PR8DpwuGfjfqmGV27hzfi5HsVjY/+w8vcMQQmjkQGouT604QmJmAeENfVh0\nSzs6BPpXua1iNrNn/Cvkxh6nbmRLui5+CYOH45QQjhOJcBryhq8dyaXtdQ+tR7P6dTibW8zWxCy9\nwxE6KRtim4+hAAAgAElEQVT43+bCgf/i8k588QuZO/7VNQa5XmpHcqkdZ8zl+mMZPLsqlqwCE72a\n1WPhiHYE16tz0e1j5y3jzLpNeAXUp+en8/CsW3XRoxcpZoQQLuFiTf0eBgM3dZCJAMC5u0PURoHJ\nQtTRkoH/7S8+8N9d83M5hafTODLrPb3DEELUkqIofLYzhf/+dZxis8JN7ZtcdMayUik/ryNu0WcY\njEa6fzALv4jmdoy4eqSYEVaTN3ztSC7tY0jbRngbDcQk55CcVaB3OMLONsZlkFtkpv1FBv6LSzv4\n0tuYss/R5Lp+usYh10vtSC614yy5LDRZ+O+fx/li1yk8DDDuimZM6N8cYxUzlpXK2nuYfc/8F4DI\nmRNoPLC3vcK1ihQzQgiXcKmm/vo+nlxbskDir27cOuOM3SG0UNrF7HID/901P5dy5s+tnPo5Cg/f\nOnScO0XvcIQQNZCWW8yU32LZEJ+Jn5cHrw5txegugZdc6LLwTDq7HnwOS34hze++mfD/u92OEVtH\nihlhNXnD147k0n5u7tAUgLWx6RSaLDpHI+yl/MD/QRcZ+C+qZs4r4MC0BQC0nTIWv7AQXeOR66V2\nJJfacfRcxp7NY8KKwxw+k0dQXW8WjmhH3xYNLrmPpbCIXQ9Pp+DkaRr26ULHOZMvWfjoTYoZIYRL\nuFxTf7umfrRr4kdOoZkNcRl2isqxOEt3CC2tOqS2xP2nGgP/3TE/l3L0rY/JTzxJvY5tCH/0Tr3D\nEUJY6e/4TCatPMLZvGI6B/nzzi3tiAjwveQ+iqJwYPobZG7fh09oID3+NwePOt52irhmpJgRVpM3\nfO1ILu2rdJpmd58IwF2oA//VwnW4rC1jlZyDxzi+5CswGOg0fyoeXp56hyTXSw1JLrXjiLlUFIWv\ndp3itT/iKTQrDGnbiLnD2tDQ1+uy+yYs+46kr1bi4eNNj4/nUqdpIztEXDtSzAghXEJ1mvoHtQqg\nrreRw2fyOHImzw5RORZH7w6htdKB/x0C/WjV+NKfRoL75ediSteUUUxmwh4YScNenfUOSQhRTQUm\nC3P+Os4nO1MwAGP7hDLl6jC8jZe/5T+9dhOHXl4EQJeFL9CgW3sbR6sNKWaE1eQNXzuSS/vy8fRg\naDv1U6aVB8/oHI2wtd9KuphdbuC/qKh0TZk6gY1p+/xjeodTRq6X2pFcaseRcnkmt4jJvx5hfVwm\nvl4evDykJXd0C6rWeJfs/bHseewlUBTaPDuWkFuH2CFibUgxI4RwCdVt6i9dc2b9sQxyCk22DMnh\nOGJ3CFuJS8vn4Ok8/L2NDGoVUK193Ck/F1N+TZkOs57Bq35dnSMSQlTHgdRcnvz5MLFn8wmu583C\nm9txVXj1Jj0pSD1LzH3PYs7LJ2T0UFpPesjG0WpLihlhNXnD147k0v6aN/ChR2g9Cs0K62LT9Q5H\n2Miqw2qrzOA2Afh4yltddZWuKdP0P/0IuvlavcOpQK6X2pFcascRcrn2SBrP/hZLRr6JbiF1WXxL\nJC0bXb5rLaizFsbcP7Vs5rLOb0x36JnLqiJXeCGES7Cmqb90IoBfD55FURRbheRwHKk7hC3lF5uJ\nKilUreli5i75uZjya8p0mDPF6W5ohHA3ZovC+1uTWLAxkWKLwoiOTZhzYxvq+1Rvwg7FYmHvhFfJ\n3nMI37BQen48F6NPHRtHrT0pZoTV3P0NX0uSS330C2tAEz8vkrIK2X3ynN7hCI1tiMskr9hCx0D/\nan866e4cbU2Zqsj1UjuSS+3olctzhSZeXHuM5f+ewWiAp/q34MmrWuDpUf0PIY7MeZ/U39bjWb8u\nvT6fj3eT6nXJdTRSzAghXII1Tf1GDwPD2jcG3GsiAEfoDmEPq8oG/je2aj93yU9VZE0ZIZxHQkY+\nE1YcYUdSDg18PJk3rG3ZeNDqSvr6V+Lf+RyD0Uj3D2dTN7KljaK1PSlmhNXc+Q1fa5JL/dwY2QSj\nATYnZHE2t0jvcIRGjqXlceiMOvD/6moO/Hd3jrimTFXkeqkdyaV27J3LTcczeeqXIyRnF9KqkS/v\n3NKOriHWTdSRvnkX+6e+DkCHOZNpcnUfW4RqN1LMCCFcgrVN/Y39vbgqoiEWBVYdSrNRVI7FHbqW\nrNhfOvC/kdUD/90hP5VZCovY9/RsWVNGCAdnURQ+25nCzKh48ostXNOqIQtHtCO4nnVjXM4djifm\noWkoxSbCx91J2P232ihi+5FiRljNHd/wbUVyqa+bS5rlVx0+i8niPhMBuKqUnELWxabhYYBbO8na\nMtVx6JV3yN57CN8WIQ61pkxV5HqpHcmlduyRy9wiMzPXxfPFrlN4GGBs31CmXxth9Qc2BafOsOPu\nSZiycgi88Wrav/SkbQK2MylmhBAuoSZN/d1C6tKiQR3S80xsSciyQVSOxdW7lnyzOxWzAte1aUSz\nBj5W7+/q+aksZcUfJH68HIO3F92XzZI1ZYRwQCcyC3hqxWG2JGZRr46RWde35o6u1VsIszxTTi47\n75lCQXIqDXt3ptt7MzEYjTaK2r6kmBFWc7c3fFuSXOrLYDCUDZp0p4kAXNGpnELWHlFbZe7pHqR3\nOA4vN+4E/06eA0D7lyfQoHsHnSO6PLleakdyqR1b5nJrYhYTVhzmRFYhEQE+vHNLJL2b17f6OJZi\nE7vGPk/O/lj8WrWg56evY/R1vimYL0aKGSGES6hpU/+Qto2o4+nB7pPnOJaWp3FUjsWVu5Z8Xdoq\n0zqgRq0y4Nr5Kc+cX8juR2ZgPpdH8M3XEfbwaL1DEkKUUzo+5qW1ceQVWxgQ0YC3R7QjtL71BYii\nKOyfMpe0DdvxbhJA76/fxLtxQxtErR8pZoTV3OUN3x4kl/qrW8eTGyPVKXw/izmlczSiJsq3ytzd\nI1jvcBzewZcWqp/QtmxO5zedZ7VvuV5qR3KpHa1zmVNo4qW1cXyx6xQG4KHeIbz4n5b4etWsS9jR\n+R+R/O0qjL4+9Pp8Pn7hzTSN1xFIMSOEcAm1aeq/q1sQdYwGtiRkceh0roZRORZX7VpSvlWmeQ1b\nZcB181PeyeVrSPp8BR51vOm+bBae9fz1DkkIUSIuLZ8nfz7MthPZ1KtjZPYNrRnTPbjGHzic+PIX\njr35P/DwoNv7r9GgR0eNI3YMUswIq7nDG769SC4dQyM/L27t1BSAT3em6ByNsIa0ylTfudjj7H+2\nZG2JWROp37mdzhFZR66X2pFcakerXP55NJ2nfzlMSk4RbRr78u6tNRsfU+pM1GYOTJ0PQMe5Uwgc\n2l+TOB2RFDNCCJdQ26b+27sG4eflwc7kHPamnNMoKsfiil1LtGqVAdfMTylzXgG7x76AOS+fkFFD\naX7vLXqHJIQATBaFJVuTmLs+gUKzwpC2jXjrZuvXjykvM2Y/ux99EcVsptXEB1xiLZlLkWJGWM2V\n3/DtTXLpOOr7eDK6SyAAn+w8iaLIujOOTlplqu/A9AWcOxyPf9twOs2f6jTjZMqT66V2JJfaqU0u\n0/OKeW7VUX769wyeHgYmXNWcKVeHUcfK9WPKO3c4np33TMacl0/oHcNo+9yjNT6Ws5BiRgjhErRo\n6h/VOZB6dYz8eyqXnck5GkTlWFyta8k3e9RWmWs1aJUB18tPqaRvfiP521V4+Nah+wez8PT30zsk\nIdze3pRzjP/pEPtOnaORnyfzh7fh5o5Na/VBQ37SKXaMeYbijGyaDulP5zemOeUHF9aSYkZYzVXf\n8KsrKiqKK664gt69e/P2229Xuc20adPo3bs3AwcOZO/evRfdtzSXc+fOpVOnTgwaNIhBgwYRFRVl\nl+9FVOTvbeTOruoaJZ/sSJHWGQeWmlPEmsMlrTLdpVXmYnIOHuPA9AUAdJwzhXodWuscUc25+3uP\nliSX2rE2l4qi8P3eVKauiiU930S3kLq8d2t7OgXVbtHaorMZ7LhrIgUnTxNwRTe6fzALDy/PWh3T\nWUgxI4QVzGYzzz33HN9//z1btmxh+fLlHD58uMI269atIy4ujh07dvDWW28xefLky+5rMBgYP348\nGzZsYMOGDQwePNju35uz06rbxM0dmxDg68mRs3lsSczS5JiOwpW6lny951RZq0yLhrVvlQHXyg+A\nKTeP3Y/OwJJfSLM7h9H8ruF6hySEW8stMvPaH/Es23YSiwJ3dg1k7o1taOTnVavjms7lsuOeyeQe\nTaRexzb0/My1FsW8HClmhNVc7Q3fGjt37qRly5aEhYXh5eXFqFGjWL16dYVtVq9ezV133QVA7969\nyc7OJjU1tcp9lyxZUraftAI4Bl8vI2NKPun/dEcKFvm5OBxplbk8RVHY/+zr5MYmUDeyJR3nTNE7\npFpz5/cerUkutVPdXMal5fPEz4eJPp6Fv7eRV4a05P/6NsPoUbtuYJbCInY9NJ3sPYfwDQ+l19dv\n4tWgXq2O6WykmBHCCikpKTRrdn7BqdDQUFJSUqq1zalTpy54Pi0trezxsmXLGDhwIBMmTCAry7Va\nBOxBy24Tw9o3pqm/F/EZBWyIy9TsuHpzla4ltmiVAdfJD0DSFytI+XEtRj9fui+bjdFPuzwJIayz\nLjaNp385zMnsQlo1Uqddviq8Ya2Pq5jN7HliJml/78C7aSP6fLsQn6AmGkTsXKSYEVZzpTd8a1V3\nIF11W1lCQ0MBePjhh9m9ezcbN24kODiYGTNm1DhGUXveRg/uLZkd6/OYFMwWaZ1xFNIqc3nZ/x7h\n4IyFAHSaP5W67SL0DUgj7vzeozXJpXYulctCk4W3/k5k/oZECs0K17drxNsj2hFav/ZdwBRF4cD0\nN0j99S886/nT++s38YtoXuvjOiP3GBkkhEZCQkJITk4ue5ycnFxWkFxsm5MnTxIaGkpxcfFF923a\ntGnZ8/fddx9jxoyp8vzjx48nLCwMgAYNGtClS5eyC2lpU7e7Pl6yZImm+fA7fRDvlASS6ETU0XT8\nTx90qO+3Jo/37dvH448/7jDx1OTxDsIwK9Am/xgJ/+bSQvJT4fGV3Xqw+5EZ/JufQdOhAwgdfX2t\njlf6/8TERADGjh2LEOLykrIKmPVHPHHpBXgZDTzZrzk3tteu1SR2zvuc+OxnPOp40/PT151uEVwt\nuf58bSWioqKUnj176h2GS4iOjnbbT3VMJhN9+/bl559/Jjg4mMGDB7Ns2TIiIyPLtlm3bh3Lli3j\nu+++Y/v27Tz//POsW7euyn0ff/xxxowZw6lTpwgOVj9lfu+999i1axfLli2rcO6YmBjkd/jibPF7\n+cfRdOatTyCorjcf3d4Bb6NzN2Y7+99uak4RD31/AIui8MHoDoRp2MUMnD8/lqJiYh6Yytm//qFe\np7Zc+esHmg8C1vM65Ow/H0ciudROVblcfyyDt6ITyS+20Kx+HWb8J4LWjbWbEv3Ywk+InfsBBqOR\nHv/7L4HXD9Ts2HqKiYlh8ODBVtcm0jIjhBU8PT2ZN28et912G2azmXvvvZfIyEg++eQTAB588EGG\nDBnCunXr6NWrF35+fixevPii+7Zo0QKAmTNnsm/fPgwGA+Hh4bz55pt6fYtOyxZvzNe0CuCb3akk\nZBbw++E0RnRsevmdHJiz37x8s+cUJovCda0DNC9kwLnzo5jN7H1iJmf/+gfvJgF0/3C2W81mJIQj\nKDJZWPpPMr8ePAvAoJYNmTgwDH9vo2bnOP7Bt8TO/QAMBrosftFlCpnakJYZIZyEtMzoIzo+k1f/\niKeRnyef3NEJn1qszCxqztatMs5MURT2T5lL0pcr8aznT9+f3rVZlxO5DglRtZPZhcz6I56jafl4\neRgYd2Uzbu7QRNNFK098sYL9U+YB0PnN52l+902aHdsR1LRlRt6VhRAuwVZTjfaPaECbxr6k55n4\n9cAZm5zDXpx5OtbSVplrWtmmVQacNz9HZr1H0pcr8fCtQ68vFrh133kh9PB3fCbjfzrE0bR8gut5\n89aIdozo2FTTQubk8jXsf/Z1ADrMesblCpnakGJGWM1Z3/AdkeTS8RkMBh7sHQLAt3tPk1dk1jki\n95OaU8SaI+kYgLt7yAxm5cW98xnx736JwdNIj2WzCbiim94h2YxcL7UjudRGkcnCpKU/8tof8eQV\nW+gf3oD3bo2kXRPtxscApK7awL6nZoGi0O6Fxwgfe7umx3d2UswIIVyCLcc79Glen46B/mQVmPhp\nv/O2zjjrmJCyVhkbjZUp5Wz5SfzsZ47MXgoGA10Xv0TTwVfpHZIQbuNEZgFP/XKEzQlZeHoYePzK\nZrw0uCV162g7HP3Mn1vZPe5FFLOZ1s88SKsJ92t6fFcgxYywmrO94TsyyaVzMBgMPFTSOvPDvtPk\nFJp0jsh9nD53vlXmHmmVKZPycxQHnpsPQMe5Uwi5dYjOEdmeXC+1I7msnXWxaTzx82Hi0vNp3+MK\nFo5ox8jOgZp2KwNI2xTDroenoRSbCH/0TtpMfUTT47sKKWaEEC7B1t0muoXWo0doXXKLzPyw97RN\nz2Urzti15JvdqXZplQHnyc+ZP7aw98mZoCi0ff4xwh4YqXdIQriF/GIzr29IYP6GRApMFq5tHcC7\nNuhWBpC+ZRcx907BUlBE8/tuof3MpzQvllyFFDPCas7yhu8MJJfO5cHe6iKnP+0/Q0Z+sc7RuL7U\nnCJ+P5ImrTLlZPyzh11jn0cxmYl4/G5aTbhP75DsRq6X2pFcWi8uLZ8nfj5MVGw6dYwGJg0MY9o1\n4ezatkXzc6Vv3c3Oe6Zgzi8g9I5hdJo7RQqZS5BiRgjhEuzRbaJDoD9XtKhPgcnCt3tSbX4+rTlT\n1xJFUVi8+YTdWmXA8fOT/e8Rdt73LJb8QprffTORLz0hNzhC2JiiKKzYf4YJvxwmKauQ8AAf3rk1\nkhsiG9vk7y9962523j0Zc14+obffSJe3pmMwardOjSuSYkZYzdHf8J2J5NL5lM5stvLgWc7kFukc\njev642gG/5zIxt/byCN9Q/UOR3e5xxLZcdczmLLPEXTTtXSaP9XtChm5XmpHclk9mfnFvLQ2jne3\nJFFsVrgxsjHv3BJJRIBv2TZa5jLjnz3nC5nbbqDLwuelkKkGKWaEEC7BXt0mWjf24+qWDSk2K3y1\n65RdzqkVZ+lakpZXzJKtSQA8fmUzmvh72+W8jpqfgpOn2X7H0xSdzaDxoD50e/dlucERwsZikrN5\n7KdD/HMim7reRl78T0ueGRhms4WTM/7Zw46yQuZ6urz9gvydV5MUM8JqjvqG74wkl87p/l4heBhg\n9eE0Dp7O1Tscl6IoCos2nSCn0Eyf5vUZ0raR3iHpqigtk+13Pk1BcioNenWix//m4FHHPsWdo5Hr\npXYklxdXbLbw4bZkpq8+Rnqeic7B/iwd1Z6BLRtWub0WuczYtlctZHLzCBk9lC5vz5BCxgpSzAgh\nXII9u02ENfRhdOdALArMW59AfrFzLKTpDF1L1sdlsCUhCz8vD54e0MKuXakcLT/FWTnsuHsSubEJ\n1G3fil5fvIGnv/azJgkhVMlZhTyzMpbv9p7GYFA/uJo/rC2BdW33AULGtr3sGDNJLWRGDaXrohel\nkLGSFDPCao72hu/MJJfO64HeIbQM8OFkdiEf/JOsdzguISOvmMWb1e5l465oZtMbCEeXl5DM1pse\nJXvPIXzDQ+n97UK8A+rrHZau5HqpHcllRYqisPZIGuN/PsSRs3kE1fXmjZvacm+PYIwel/5ApTa5\nTN+y63whM3IIXRZJi0xNSDEjhHAJ9u424W304LlrIvDyMPDboTS2nciy6/lrwpG7liiKwjub1e5l\nPZvV44bIxnaPwVHyk7FtL1tufKSsRabv8sX4BDXROywhXFJ2gYlZfx5nwcZE8ostDGrZkCUjI+kU\nVNem5z27cTs77i5XyLzzIh6enjY9p6uSYkZYzVHe8F2B5NK5tWrsywMls5u9sTGRrAKTzhE5r43x\nmUQfz8LXy4NJA8PcbqauUid/XMu22yZQnJ5Jk2uv5MqV7+PbXNbYAbleaklyqYpJzmbcj4f4Oz4T\nXy8PplwdxvPXRVC3TvWLiprk8vTaTcSUTLPe7K7hdF38khQytSDFjBDCJejVbWJ050C6BNclI9/E\n29GJKIqiSxzV4ahdSzLzz3cve6Svft3L9MyPoigcXfARe8e/glJUTNhDo+n5+et41vPXLSYhXFWR\nycL7W5OYtvoYaXnFdAz0Z+nI9gxtZ5u1Y8o79etf7Hp4GpbCIlo8MJLOb8o6MrUlZaCwmqPeEDkj\nyaXzM3oYeHZQGI/9eIjo41lEHU1nSFv7d5FyZu9uTiKrwET30LoMa+9+uTMXFPLvpDmk/LgWPDzo\n8OrThI+9Xe+wHI5cL7XjzrmMT89n7l/Hic8owMMA9/YMYUy3oMuOjbkYa3J5cvka9j01C8VsJmLc\nXUS+MsFtW6G1JC0zNVBstpCSU6h3GEKIcvTsNhFcrw7j+zUH1BvzUw56fXDEriXR8ZlsiM/Ex9OD\nZwaG4aHjG7se+Sk6m8H2258i5ce1GP396PnpPClkhLABi6Lw47+neXLFYeIzCgitX4e3bm5XrUH+\nWkj6aiV7n3wVxWym9TMPSiGjISlmauCr3ak8uvwQvx4869BdSmzFEW+InJXk0nUMaduI/uENyCu2\nsGBDIhY3vDZYK7vAxKJNJwAY2zeUkHp1dI7Ivs4dOc6WYY+QuX0fPqGBXPHLEgKH9Nc7LIcl10vt\nuFsuT58r4rlVR1m6NZlis8KNkY1ZMjKSDoG178ZZnVwmfPQD/06aA4pC2+njaPvco1LIaEi6mVlJ\nURRSzxVRaLKwaNMJNidkMmlgmN1WqBZCVE3vbhMGg4GnB7TgwOlc9p46x4/7TnNb1yBdY6pM7xxV\n9u6WJDILTHQNrstNHfSfrcue+Tm7cTu7x76AKfsc9bu2p+fnr8uMZUJoTFEUoo6m8+7mJPKKLTTw\n8WTigBb0j6h6AUxbnD9+8eccmb0UgPavPk3Eo3fa5dzuRFpmrGQwGJg6KJwXrougXh0jO5JyGPfj\nIf46lqF3aHbjaDdEzkxy6Voa+noxaWAYAB/vSCE+PV/niBzX5oRM/jqWQR2jgUlX69u9zN5OfLGC\nnWMmYco+R9CwQfT96V0pZKpBrpfacYdcZuYX89of8czfkEhesYV+4Q34YHR7zQuZi+VSURQOz1ys\nFjIGAx3nPSuFjI1IMVNDg1oF8MGoDvRpXp+cQjNz/jrO7D/jyZapWYXQhaN0m7girAHD2jem2KIw\nb/1xiswWvUMq4yg5yi4wsSha7V72cJ9QQus7RvcyW+dHMZs5NHMx+6fMQzGbafnEPXT/cDae/r42\nPa8Q7mZLQhaPLlcnZfErmXL5lcEtCfD1ssv5LSYT/06czfGlX2PwNNJtySuEPTDSLud2R1LM1EJj\nfy9mXd+KiQNa4OPpwYa4TB798aBTLJ5XG45yQ+QKJJeuadwVzQit701cegGf70zROxyHs/SfZNLz\nTXQK8ueWTk31DscuitIy2fV/z3N8yVcYPI10emMakS8+gcFD3oarS66X2nHVXOYWmXlzYyIvr4sr\n68K6dJRtp1yunEtzQSG7x75A8rerMPr60POz+YTcOsQm5xYquYrWksFgYFj7Jiwd1Z7OQf6k55mY\nsSaOhdGJ5BWZ9Q5PCLfhSN0mfL2MTB0UgYcBvtt7mn2nzukdEuAYOfonMYuo2HS8jQYmO1j3Mlvk\nR1EUUlb8QfTVd3P697/xrF+X3l+/RYt7Rmh+LiHcWUxyNo8uP8jvR9LwMhp49IpmvD68DcF2nFjE\nlJPLjjGTOP3733g1rEfv79+m6XVX2u387kqKGY2E1q/D/OFtGds3FC8PA6sOpTHux0PsSs7ROzTN\nOcINkauQXLqujkH+3NktCAV4fX0CufLhBucKTSws6V72YK8Qmjfw0Tki2ypIPcuuh6ezZ9yLFKVl\nEtCvB1et/R+NB/bWOzSnJNdL7bhSLvOLzSzadIJpq49xJreYtk18effWSG7rEmiXD0tKc1l4Jp1t\no58kY8su6gQ1oe9P7xHQu4vNzy+kmNGU0cPAHV2DWHxrJG2b+JJ6rojnVh9l0aYT5BfLjYwQtuSI\n3Sbu7RFMm8bqtWDp1iS9w9E9R+//k0xaXjEdAv0Y2TlQ11iqolV+FEUh6ZvfiL76Hk6v3oixrh8d\n5z1L3+Xv4BfRXJNzCCFgb4o6CdOvB8/i6WHggV4hvD0ikogA+45Dyz+Rwj+3jid772H8IppxxS9L\nqdehtV1jcGfOUMzcABwCYoHnqnj9GiAL2FXyNcNukV1Ey0a+vD0ikgd7heDpYeDXg2cZ9+Mh9px0\njVYavW+IXInk0rV5GT147ppwvI0G1hxJZ9PxTL1D0s3P+8+w5kg6XkYDk68Ot8sidXrIP5HCzrsn\n8e/E2ZiycmhyXT8GbPiSsAdGyviYWpLrpXacPZcFJgtLtiQx5bejnMoponVjX965pR339AjG087X\nljWff83Wm8aRdyyRep3acsXK9/ELD7VrDO7O0deZMQKLgcFAMrAd+AU4WGm7DYBDdUD29DBwd49g\nrgxrwPyNCRxLy+fZVUe5pWNTHu4Tgq+XUe8QhXApjtptIjzAl//rE8qSrcksjD5Bx0B/AvzsM6NO\nZXrlaOWBM7y3RW2ZerJfc8IaOmb3strkR7FYOPHpTxyetQRzbh5eDevR/rWJhN52gyyOJ4SG/j11\njjc2JpKcXYjRAGO6BzOmexBeRvt/WHB2wzYOzlhI+0IjAf160PPTeXjVr2v3ONydo39M1Bc4ChwH\nioFvgFuq2M5h3ylaNfblnVsiub9nMEYDrDhwhsd/cu5WGke9aXRGkkv3cEunpvQIrUtWgYnZfx53\nq26nqw6d5Z3NJYXMVc25sb3rraeSG3eCbaOe5MD0NzDn5hE0/BoGbPyKZrffKIWMhuR6qR1nzGV+\nsZl3Nycx+ddYkrMLiQjwYdEtkdzfK0SXQib5u9XsvGcy7QuNBN86mD7fvCWFjE4cvZhpBpwo9zip\n5OBMIvIAACAASURBVLnyFOAqYA+wCuhon9Cqz9PDwL09Q1h8ayStGvlwMruIZ1cdZVH0CRkULIRG\nHLnbhIfBwJRB4TTy9WTvqXNMW32UnEL7r0ll7xytOZLG2yUD/h+7shkjOjr2NMzW5sdiMhH/3lds\nuu4+MrbuxrtJAN0/nE2Pj/5LncDGNopSCPezKzmHR5cfYsWBMxgMcHf30vHJfnaPRVEUji38hH1P\nvYZiUteL6vbeK3jU8bZ7LELl6MWMUo1tYoAWQDfgHeBnm0ZUC60b+6mtNKVjaQ6d5dHlzrcujSPf\nNDobyaX7aOrvzRs3tSWwrhcHT+cxddVRMvOL9Q7LZqJi03lzYyIK8EjfUEY54ID/2sg5cJR/bhrH\n4VcXYykoIvS2Gxiw8SuCb7pW79BcllwvteMsucwtMrMwOpHnVh8l9Zw6NmbxLZE82DsUbx1aYywm\nE/unvk7s3A/AYKDD7EmcubabjIfTmaOPmUlGLVRKtUBtnSmvfH+t1cB7QCMgvfLBxo8fT1hYGAAN\nGjSgS5cuZU2tpX/Y9nh8b49g6qTs5/t9pzlDe2asiaNtYRwjOjTh+usG2T0eeazf41LV2d7Pz/6f\nQDkTZ+g20ayBD2/e1I7nVh3lWFo+k3+NZd6wNjTxt88nevbK0V/H0lmwMQEFeKh3CLd3DbLLeWur\nOvnJ3neYYws/JXXVBlAUfEID6fT6VJoOvsoOEToGZ7heyuNLP963b59DxVPVY+/wLiyMPkHc3u14\nGgyMv/0G7ugWxNbNmzilQzxX9ujFnnEvsmHtOgzeXtz9wRsEDRvEqiVLHCJfzvg4Ojqar776CoCw\nsDCGDh1KTTh6Z15P4DDwH+AksA0YQ8UJAIKA06itOH2B74CIygeKiopSevbsaeNwrWO2KPz472k+\n3ZlCkVkhwNeTCVe1YEDLhnqHJhxQTEwMjvY7LGomPa+Y6auPEp9RQHA9b+bd2IaQ+vZb2M2WNsZl\n8N+/jmNR4P6ewdzbM0TvkDSRsX0fx976hLN/bgHA4O1Fi/tuod20cXjW89c5OvuR65CwtawCE+9v\nTSLqaAYAkU39mHx1mN2nWy6vIPUsMfdPJXvPIbwaNaDnZ6/LGjI2EBMTw+DBg62uTRy9XcwEPAms\nAQ4A36IWMuNKvgBuA/YBu4GFwF32D7NmjB4Gbu8axNJR7ekc7E9GvolX/4jn1ag40nJdt/uJELbg\nLN0mABr5eTF/eFsim/pxKqeISb/GkphRYPPz2jpH0cczywqZe3o4XyFTOT+KopD29w62jXqSf24e\nx9k/t2D09SFi3F0M2vYDHWdPcqtCRghbUhSFP4+mM/aHg0QdzcDbaOCRvqEsvLmdroVM9v5Ytg57\nhOw9h/AND+XKle9LIeNgHL2YAbXrWCTQBphT8tz7JV8A7wKdge6oEwFstXeAtdW8gQ8Lhrflyaua\n4+vlQfTxLMYuP8hvh85iUaozbMi+nOmm0dFJLt1XfR9P5t3Yhq7BdUnLK2byb7EcPZund1g1tiUh\ni//+qRYyd3YL4v6ewXqHVGOKonB67Sa2Dn+U7bc/RfrmGDzr+dNq4gMM2vEj7Wc+hU+wY09m4Irk\neqkdR8tlak4RM9bEMXd9AlkFJrqF1OX9Ue25vWuQrmtSnV4bzT83P0ZBcioN+3al32/L8G8dVmEb\nR8ulO3L0MTNuw8NgYETHplwZ1oB3Np3gnxPZvB19gj+OpvPMgDBaOOi6DEI4CmcYM1OZn7eRWTe0\n5rWoeLYnZfPsqqPMur4VnYJsM72nrXK07UQWs/6Ix2RRuK1LIA/3DnHKKYn79+tHyoo/iFv0GTn7\nYwHwatSAiHF3EfbQaJl2VQiNmS0Kvxw4w8c7UigwWajrbeSRK5pxQ7tGul5DFEXh+NKvOfzqu6Ao\nhN52PZ3fmC4zljko53u3qSFHHDNzMYqisCEuk/e2JJFZYMKrZAHOO7oG6jKXunAM0lfddRWbLcz5\nK4Ho45nU8fRg5pCW9GxWX++wqmVHUjYvr4uj2KwwslNTHruymdMVMpZiEyk/riXunc/IPZoIQJ2g\nJrQcfzfN770FT3/9urg4GrkOCa3Ep+ezMDqRg6fVFumrWzZkfL/mNNJpUeFSlqJiDkxfQNKXKwFo\nO+1RWj39gNNd15xRTcfMSMuMAzIYDFzTOoCezeqxbFsya46k8+nOFDbEZTBxQBgdg6SPthCVRUdH\nO2XrDICX0YMXrovgzb8TWRebzotr4pjxn5b0C2+g6Xm0ztGu5BxeKSlkbu7QxKkKGYvJRPrmXZz6\n5Q9SV22gOD2LA5ZceoW3oeWT99LszmEYfVxjUgYhHEmhycJXu07x3d5UzAo09vNiQv/mXBWu/+RH\nRRnZ7B77POmbYvDw8abropcIHnGd3mGJy5CP+R1YfR9PJl8dzrxhbQit783xjAKeWXmERdEnOKfD\ngnulpH+odiSXopTRw8Dkq8MY0bEJxf/P3p3HR1Xeix//zJ7ZMtknewgQAgHCDiLuKIJVFFyKW0ut\n1dbWpe39qV1urbe3i623VWutrd7rUtdaxRUtoKIiyBaWQAKELGSfLJPJ7Pv5/TEhgGBIYMjMJM/7\n9ZrXmTPrk2/OnHO+59nCEg+uq+Pj2p5YF+sr7Wp18Is1tfhDEpdNTOf7Z+fHfSITDgbp3rCNvff+\nno/Ll7LturtpfuFtAtZeDKXFjL3zG5y78VUKv7lMJDJxSOwvoydWsdzWbOe216t5eVckkbl8YgZP\nXzMpLhIZV20jX1x+G9bPK9BkpTP3jScGlciI7TL2RM1MApiRa+Rvyyfx4o52Xttt4d19XXx+yMZ3\nz8rjgrGpcX8CIQjDIVFrZY4ml8n4/vx8tCoFr+6y8LuPG/AGQiyZmBGVz49GjCwOP/+oaGPdQSth\nCS6dkMZdCwqQx+l+SAqFsH6xK1ID8956/F1HEkTduEJyli4ke+lFGCaOFftSQThDrO4Af9vc0n+B\npjg1ibvjqKVJx9rP2X3HLwk6XBgnlzDz+d+jzUuM+bEE0Wcm4TT0eHhsQxN7LC4AZuYZufPsAvJM\n4iriSCfaqo8uL+9s55ltbUAkYbh2qpnC1NgNBNLjCfDyTgvvVXcRCEsoZLBsShbfnpMb09GGTkQK\nh+nZspv2tz6k/d2P8XcemUNZV5xP9pULyVm6EMOkcSKBGSKxHxKGIixJrN7Xzf9tbcXpD6FRyLh5\nZg7Lp2ahjIP9hiRJ1D32PDW/+ztIEuavXcDUx36OUi8mqY4F0WdmlBiTquXhy0v49wErT29poaLF\nwW1vVHPD9GyuLc9CLQYIEEapRO4zcyLXT89Gq1Lw5BfN/PuAlX8fsDKvIJlry81Mzdaf0kn4qcTI\n5Q/x2m4Lb+zpxBsMIwMuGpfKN2blkBsnE32G/QHse2qwVeyht6IK6+cV+Cxd/c9ri3LJXrqQnKUX\nYZwy4StjN9K2IUGIpbpuD4993kRVR+Ti6+x8I3cuKCDHGB/7jaDLTeXdv8by7scgk1Fy33ciHf3l\n4jwq0YhkJgHJZTKWlKZzVmEyT21uYd3BHp7b3sZHB638YEEBM3KNZ/T7xQE/ekQshYFcNTmTOflG\nXq/sZE1NN5ub7GxuslOaqePa8iwWFKWcsVoRXzDMW1WdvLrLgsMXAuCswmRWzsplbHrsRveSJAlP\nUzu9FXuxVezFtn0Pjj01hH3+Y16nLcghe+lFZC9dSHJ5qaiBGQHE/jJ6zmQs3f4Qz1e08ebeTsIS\npGmVfG9+PucVp8TN79B9qIWKlffjrK5FYdAx7YlfkrXo1OIhtsvYE8lMAkvVqrj3gjFcMiGdP3/e\nRFOvj/tWH+SCsSncPi+fdH1shzccqdatW8fPfvYzQqEQN998M3ffffdxr7n//vtZt24dWq2Wv/zl\nL5SXl5/wvbNmzQKgp6eHW265hebmZgoKCnjmmWcwmaI7ktVIN1IPJnmmJO46p4CbZ2XzTlUXb1d1\nsr/TzX9/2EBusprlU7JYNCGdJOXJryYOJkbBsMQH+7t5cUc73e4AAOXZBr41J+eMzX8zYHmcLnp3\n7sNWsTeSwGzfe0yzscP0JUWkzJyMaeZkUmZPwVg2fsgnTiN1GxKE4XB4Wom/bW6h2x1ALoMryzL4\n5qwcDJr4Od3s+nQru27/TwI9dnTjCpn57O8wlIyJdbGE0xAfKfIwGCl9Zr6KPxTmX7s7eHlnO76Q\nhE4l5+aZOVw1OTPu2rMnslAoxNy5c1m1ahU5OTksXLiQp556itLS0v7XrF27lqeeeop//vOfbNu2\njZ/85CesXbt2wPc+8MADpKenc9ddd/Hoo49is9l44IEHjvlu0VZdAPAGw6w50M3rlR20OSK1EaYk\nJVdMymBpWQYp2lO7iBGWJD6p6+G57e202n0AjE/XcsucXGblGc/YFdWgy4O3uR1Pczuepra+W9/9\n5vYTJi6q1OQjicusyZimT0KVkhjz8iQ6sR8STqTJ5uXxjc3saHUAUJqp464FBZRkxE/fk/6JMH/1\nBITDZF58NuVP/FJMhhtHRJ+ZUU6tkHPDjGwuGp/KXze1sKmxl79tbmHNgW7uXFDAlGzxY42G7du3\nU1xcTGFhIQDLly/n/fffPyaZef/991mxYgUAs2fPxm63Y7FYOHTo0Fe+94MPPuCddyITdK1YsYKl\nS5cel8wIAxstVf1JSjlLyzL52sQMPm+w8VplB/s73bzQN2/DognpXDEpA51KgS8Uxh8M9y0ltn6x\nkYkz5uILhfEFJfyhML5gGH9IYtOhXuqsHgDyTRpWzsrhnOKUIY1SJkkSYa+foNNF0O4k6HD13wJ2\nJ0GHE19b11FJSxv+btuAnylTKTGWjSflcOIyawq6MWdmPpvRsg0JQrR4g2Fe3tnOa7s7CIYljBoF\n356Ty+LS9Lga4TBgd7Lnh7/B8t56AMbe801K/t+tyBSK2BZMiAqRzIww2UYNDy4ayxeNvfxlYzP1\nPV5+9G4Nl5SkceucXFKjMLPuaD7gt7W1kZeX17+em5vL9u3bT/qatrY22tvbj3v8cALT0dFBVlYW\nAFlZWXR0dJzJP0OIM5IkEfb4CLrchFxugs7ILeR0E3J7CQeDSKEQUijcvyQUoigU5kehEG02D7tb\n7DRb3XSuk3g2HD760/vvtXQ30Zq25bjHAXIkifEKmJyhpdCoQrY9RFUohBTsu/XfDxLueyzk8RJy\nHk5U3AQdTqTA0ObAkqlVaPPMaAty0BZk9y1z0OZH7mvM6eKEQwBG97En2k43lpIk8XlD5KKpxRmp\nIV48IZ1vz83FlBRfp5aOqoPs+PZPcdc3ozTqmfrozzFfdn7UPl9sl7EXX1ucEDVnFZqYkWvklV0W\n/rnLwtoaK5832Lh5Zg5XTs6MiyERE9FgrwZLkjSo15zo82QyWdx0kkwk8XQwCQeD+Nq78LZ24G21\n4G3pwNvWgbetk4DNHklU3J7+hCXo8sAxCcjQjem7ndyek76i6TTKIVOrUBn1KI16lMmGyNKoR2mM\n3NdkZ/QnKtqCbDRZ6XEzelA8bUOCEK8abV6e2NRMRUukSdnYNC13LsiPSZ+6k2l5dTV77/8DYY8P\nY9l4pj/9a/RjC2JdLCHKRDIzgmmUcr45K4eLx6fy1y9a2NJk52+bW/hgfzd3zM9nRt6pjXo2mg/4\nOTk5tLS09K+3tLSQm5s74GtaW1vJzc0lEAgc9/jhAQCysrKwWCyYzWba29vJzMw84fffcccd/c3U\nTCYTU6dO7f9/HJ6FWKyf+fVwIMjaV/+Fr7WDclMWnlYLm3ftxNfVwwSXhM/STVUwcqAvk0cmhasK\nuwZcr1YFUGjUTEvPQWnQszfgQKHVMLNgLHKVkp1drSCTMzOvCJlCzs72ZlDImVU4Fplczo7WRlDI\nmDVmPDK5gu2NtQDMKorMpbL9UN/6mPEAbD90sG+9BICKQwdBoWBOyURkSgXb62tBIWfepMnIFAq2\n1u5HJpczb0o5MqWCLfuqUGhULDh7AUqjni1VlSh0Ws676ML+eIWBuQPF82Av52TH/v8p1r96/fD9\nxsZGAG699VZiZTQfe6LtVGLp8od4cUc7q/Z0EJLAqFHwzVk5fG1iRtz1zQ15fVT//E80v/A2AHkr\nvkbZb/8DhTb6w0KL7TL24mvrO4NG+gAAg/FFYy9PftFMqz1SJXzOmBRun5eH2aiOcckSRzAYZO7c\nubz55ptkZ2dz8cUXDzgAwNatW/npT3/K2rVrB3zvAw88QFpaGnfffTePPPIIvb29YgCAITpTVf3h\nYBBXzSF6d+3Dvmsfvbv24dh7/FDAx5DJ0GSlk5SbFbnlmSPLnCzUaSYUeh1Kgw6FXtu/lCvP/LUl\n0RxiYCI+Jyf2Q6OPJEl8eLCHp7e0YPUEkQGXTUxn5ez4a1IG4D7Uys7v/Az77v3INWrKfvtj8m+4\nItbFEgZBDAAgnNRZhSZm5hp5fU8HL+20sKHBxpamXr4+zcx15WY0gxjaFUb3AV+pVPLQQw9xzTXX\nEAqFuOmmmygtLeXZZ58FYOXKlVxyySWsXbuWWbNmodPpePzxx7/yvZ2dnZSWlnLPPfdwyy238MIL\nL/QPzSwMPykUwlXbRO+u6iOJy54aQh7vca/VjcnDUFpMUq752IQl10xSdgZytRgaXRCiaTQfe6Jt\nsLE80OnmiU3N/RNflmXpuePsfCbE0ShlR2t/92P2/Ph3BHsdaItymfH0r0meWnryN54GsV3Gnkhm\nRhm1Us7107O5uCSNpza3sL7Oxj8q2llzwMqtc3PjalKreHXJJZdwySWXHPPYypUrj1n//e9/P6j3\nHm7KkZqayqpVq6Jb0FHmVA4mkiTh2FuD5b1PsG7agb3yACGX+7jXaQtySJ42EdO0iZimTyJ56oSE\nHApYHHAHJuIjCBHd7gDPbG1lTU1kaPRUrZJb5+aycHxaXI1SdljI42PfA4/R9HzkOJp16TlMfew/\nUZnO7CTiQnyIvy3yDBHNzE5sd5uTJzY1UWeNXHmeYtbz3fnxe9VlNBPNO6JDCoWwbdtD++r1dKz+\nFE9T2zHPJ+WZMU2b2J+8JJdPRJ0mJjAVBBD7oZHOHwzz+p4OXtllwRMIo5TLWDY5kxtmZKNXx+eo\ngs799ey8/T9x7qtDplZR+ovvU/Tta8WF2QQkmpkJp6Q8x8BfrprIBwe6eXZbG3ssLu58cz+XlKTx\nrTm5pEdhKGdBGA4DVfWH/QG6N2zHsno9HR98hr+rp/85dWYa5iXnkXnxAkwzJqHJTBuuIg870Rxi\nYCI+wmh1eKjlv29pob1vMt75RSZum5tHnin6neajQZIkml96h+qf/4mwx4dubAHT//ZfZ7xZmRB/\nRDIjoJDL+NrEDC4Ym8qLO9p5c28na2qsfFpv4/rpZq6ekoX6qP404oAfPSKWZ07Q5abroy+wrP6E\nznUbCTpc/c9pi3IxLzkf82XnkzJrspjHRBASgNhfRs/RsaztdvPkFy3sanMCMCY1ie+ddeojng6H\ngN3J3v/3EO1vfQhA7nWXUfbbH6HUD3+rErFdxp5IZoR+erWC2+bl8bWJGfx9SwubDvXyzLY2Vu/r\n5pY5OVwwNlVU2wpx65xzzkEKh+lct5HmF9+m65MthL1HRhwzlo0na8l5mC87H2PZ+FG5LYsD7sBE\nfITRpMvl59ltbaytsSIByRoF34jToZaP1rOtkt13PIinsRWFTkvZQ/9B3rVLYl0sIYZEMiMcJ8+k\n4cFLxrKjxcGTXzRT3+Pltx8f4o09ndw+L08c8KNIxDI6wj4/ra+vof6vL+KqOdT/eMqcqX01MOeh\nG5MfwxIKgnC6xP4yOjyBEHXacTz0WjW+YKRfzNKyDG6ckY1RE7+nheFAkNo//h+1jz4P4TDJUycw\n7cn/Qj+uMKblEttl7MXvVivE3Iw8I08sm8iaGivPbWtlf6ebH71bwzljTHx7Ti55pqRYF1EY5QK9\nDpqef5NDT7/GjrZDlMn1JOWZKfrOdeQsu4Qkc0asixhXRHOIgYn4CCNZKCyx5kA3z21vw+oJApH5\n5iLH8/jsF3OY8+Ahdn//Qey79oFMRvEdN1Jy33eQa8Q8eYJIZoSTUMhlLClN54KxKby2u4PXKjtY\n/eEnbDo0nSvKMrlpRjbJcThpVqIQJ0+nxtvaQcPfX6XphbcIOSNDKeuK8ii//26yly5ErhLbpCCM\nNGJ/eWokSWJ7i4OnNrdQ3xMZuTSlex+/+OYVTMk2xLh0A5MkicZn3mD/rx4n7PGRlGem/M+/IO3s\nGbEuWj+xXcaeOOILg6JVHWlL++CzB9kvwZt7O1lbY2XFNDNXTc4c9KSbgnCqHNW11D/xEm2r1iAF\nQwCknzub4u/fyKXnzx2V/WCGQhxwBybiI4w0B7rc/O+WFna0Rjr3mw1qbpmTg6LVGfeJjNfSxZ57\nfkPXx18AkHvNYib95keokuO73MLwE8mMMCTpehWPff9q6ro9/H1LCxUtDv53aytv7e3kG7NyuKQk\nLa47DsYbcfJ0cpIkYd24g/q/vEjXR5siD8rlZF91McV33IipXAzDKQijgdhfDl6b3cez29v4uDYy\nDL1ereD6vguPaqUcxp0b4xIOrP2dj9h73x8IWHtRpSYz+aF7yV56UayLdUJiu4w9kcwIp2Rsupbf\nLRnP9mY7/7u1lYPdHv74WSOvV3Zwy5xczipMFlfJhdNm/WIn+3/5Z3p3VgMg12rIv+EKxty2Al1R\n7jGvFVX9JydiNDARHyHR2TwBXtpp4d3qLoJhCZVcxpWTM1kxzZwQTcL9XT1U/eR/aH/nIwDSL5jL\n1Ed+RlJ2ZoxLJsSz+N+yhbhz9AF/Vn4yM/KMrK/t4ZltbRyyeXlgbR1TzHq+PTeXyWZRHTwQcfJ0\nYv4eOwd+9ReaX3oHAFVaCkXfvobClctRp6fEuHSCIMSC2F9+NU8gxKo9nfxztwV3IIwMuHh8Kt+c\nlYvZeHwn+XiMZfvbH7H3/ocJWG0odFom/PwOClcuQyaP7ybs8RjL0UYkM8Jpk8tkXDQ+jXOKU3iv\nuouXdlrYY3Hxw3dqmF9oYuXsHIrTtLEuppAAJEmi7Y017PvFo/i7bcjUKsbeeTNjv38TCt3Ao+eJ\ng8nJiRgNTMRHSDT+UJj3qrt4eacFmzcyQtnsfCPfnpPLuPThn0DyVPg6rVTd/zCW99YDkHbOLKb8\nz0+Oq30XhK8yatoBrVu3Tpo5c2asizEquPwh/lXZwb8qO/AFI1eILhyXyjdm5ZCbHN/DP8aziooK\nRvI27G5oZu/9D9O9fgsAqfNnMPn3/w9DyZjYFkwQhH4jfT+UKEJhiQ8PWvlHRTsWZ2Ry4NJMHbfM\nzmVGnjHGpRscSZJof2sdVT/9IwFrLwq9jtIHfkDBzVeKZuqjVEVFBRdffPGQ//miZkaIOr1awTdn\n5XDFpAxe3mnhvX1dfFTbwyd1PSwuTefGGdlk6MXY8EJE2B+g/smXqf3j/xH2+lGlGCn9xZ3kXf+1\nIR3QRFX/yYkYDUzER4h3kiSxoaGXZ7e10tTrA6AoNYmVs3I4u8iUMEmAt62T6p/9EcvqTwBIP28O\nU/7nfrQFOTEumZCIhtIQcS3wEnA7MOnMFEdIBBs2bBjU69J0Kr5/dj7PXFvGpRPSkID39nWz8p9V\n/H1zC719VeKj2WBjOVL1bK1k46JvUfObJwl7/eRes5hzPnuZ/BsuT5iDsiAIw2M07y8lSWJrk507\n3zrArz6sp6nXR7ZRzb3nF/HksoksGJMy5Is/sSCFwzQ+8zqfnXs9ltWfoDDomPzwfcx+9ZGETWRG\n83YZL4ZSM/Mm8A3gmr73dQKfAZ8CnwC7ol46YUQwG9X8+Lwiri038/z2Nj6tt/Gvyg7e29fFVZMz\nuXpKVkKMsiJET6DXwYFfP0nT86sA0I3Jo+z395Jx3pxT/kxxRf3kRIwGJuIjxBtJktjZ6uS57W1U\ndbgASNMquWFGNktK01Ep4rtz/NEc1bXs+Y/f0bt9LwBZl57DpN/8GG2eOcYlExLdqVz61ANnA+cC\n5wFzgSTABrwN/BbYH60CRovoMxM/Dna5eWZbG1ub7QDoVHKWT8li+ZRMDBqR1HyVkdBWXZIk2t/+\niH3/+Qi+jm5kSgXFP7iJcXevRKEV/akEId6NhP1QotjdFkliKtsjE14maxRcV27mirIMtCpFjEs3\neCGPj9o/PUP9Ey8iBUNozBlM+s2PMF92vqiBF44xnH1mXESanK3tW9cAvwNmA4uB64GVwMun8NnC\nKDA+Q8evF4+jyuLi+Yo2KlocvLCjnVV7O7l6ahbLJmeiVyfOjloYHH9XD5X3/JrOdRsBSJkzlcl/\nuA/jxLFR+XzR3+HkRIwGJuIjxIMqi4vntreyozWSxBg1Cq6ZmsWVZZnoEuzY2PXpVqru/T3uhhaQ\nyShcuZySn34XVbKYtkGInmjUT/qAHwIbgRxgBfDfwKm3FxHiWrTah5aZ9fxuyXj+eHkJ03MNuPwh\nnt/exjde3cvLO9tx+0NR+Z54Nlra2tr31rBx8bfpXLcRZbKByX+4l3lv/TVqiYwgCCPfSN9f7rU4\n+ekHB7nnnQPsaHWiU8m5eWY2z399MtdPz45qInOmY+lt72TX9x5g23V3425owTBxLPPeeZKy3/3H\niEtkRvp2mQiGUjNzPXA/kSZkLwKrgcBRz+sACVgFbAYeAm6OTjGFkWxKtoHfX1bCrlYHz1e0U9nu\n5JltbfyrsoNlU7K4qixDND9LYO3vrafyzl8RcnswzShjxv/9lqSc6M/mLK6on5yI0cBEfIRYqGx3\n8kJFW39NjFYl56rJmVwzNQtjgh37wv4Ah576Jwf/+Awhlxt5kppxP7qF4u/dgFyVWH+LkDiGsmXd\nCPwfkaZkrwMO4GMiyU06x45w1gq0R6mMQpw5Uwf8ablGHs4xsLPVyT8q2thjcfH89jZer+zgqsmZ\nLJucOeIGChjJJ09SOEztn57l4B+eBiD3msVMfvg+FEmib4wgCEM3kvaXkiSxq83Jizva2dUWiNak\nlwAAIABJREFUSWJ0KjlXDtOgOGcilt2fbaPqp/+Dq+YQAFlLzmPig3ejK0zMUcoGayRtl4lqKL+W\nOuAvwKNAHnAdcClwJXAIuLXvdbuA9YA7aqUURg2ZTMaMPCPTcw3sbnPyQt+O/sUd7byxp4OlZZlc\nPSWTFK0q1kUVBhB0eai8+7+xvPsxyGSU/vwOxtxxwxnt7Cn6O5yciNHARHyEM02SJCpaHLy4o509\nlsjoZHq1gmWTM1k2JTPhamIAPC0W9v/yz7S/8xEAurEFTPrvH5J50VkxLpkwWgzlV/NHIonMZ8Ab\nwJ/6bl9WRaRJ2ndPu3RCXBqOA75MJmNarpFpuUb2tEeSme0tDl7dZeHNvZ1cPjGdq6dmJfzkmyPx\n5MnT1EbFyvtx7K1BadQz7a8Pknnx2bEuliAICS6R95dhSWLToV5e2WVhf2fkWq9Ro2D5lCyuisGg\nN9GIZcjjo+Hvr1D3yHOEPF4U2iTG/nAlxbevQK5J7GPzUCTydjlSDCWZaQC+DywAUgHLV7zu+tMs\nkyAcY0q2gd8uGU91h4uXdrSzucnO63s6ebuqi4tL0riu3EyeSTRdigc9m3ex45af4O+2oSvOZ+Zz\nv8cwYcywfLc4mJyciNHARHyEaAuFJT6u7eHVXRYO2bwAmJKULJ+SydKyxBy5U5Ik2t9ax/5fPYG3\nJXIqaL78Qib+8k60+dkxLp0wGo2aAb7FPDMjx8EuN6/ssvBZvQ0JkMvg3OIUVkwzMy5dF+vinTHx\nPr9D04tvU3X/w0iBIOnnz2H6336FKiU51sUSBCGK4n0/FC/8wTBraqz8c7eFdocfgEy9imvLzSwu\nTSdJmTiTXR7Ntn0P1b94tH/iS2PZeCY+eBfp586OccmEkWA455kRhJgan6Hj5wuLae718s9dHaw7\naOWTOhuf1NmYW5DMimlmJpv1YjKuYRIOBtn/yz9z6OnXACi67euU/uL7yJXDu3sRVf0nJ2I0MBEf\n4XS5/CHeq+7ijb0dWN1BAPJNGr4+zcxF41JRKRIzifE0t3Pg13+lbVVkikF1Zhol999G/oqvIVMk\nXu2SMLKIZEYYsng54OebkvjReYXcPCubf1V2sHpfN1ua7GxpsjMpS8e15WbmF5pQyOM3qYmXWJ4q\nf4+dXbf/J92fbkWmUjL5oXvJv+HyWBdLEIQRKJ73l10uP2/s6WT1vi7cgTAA49K1XD/NzIIxKXF3\nHBpsLIMOF3V/eYGGJ18m7PUj16gZ890VjL3zZpQG/TCUNP7F83Y5WohkRkh4mXo13zsrnxumZ/Pm\n3k7eruqkusPNf62rJy9Zw9VTs7ikJA1Nglbrxyvn/noqvnkv7oYW1BmpzPi/35I6tzxm5REHk5MT\nMRqYiI8wVA09Hv61u4OPansIhiUApuUYuLY8izn5yQnbQiDk9dH03CpqH32OgLUXgOyrLqb0Z99D\nWzCyh1oWEk9i/spOgegzM3p4AiH+fcDK65UdWJyRtsqmJCVXTs5k6aSMhJ2rJp7aqvfu3s/Wa+4k\naHdinFLCzGcfEh0/BWEUiKf9UKxIkkRlu5PXdnewuckO9PXdHJPCteVmJmQmbt9NKRSi5bUPOPiH\np/s796eeNY0JP7+D1NlTY1w6YaQTfWYEoY9WpeCqyZlcMSmDT+ttvLbbwsFuD89vb+PVXRYWlaSx\nbEom+aakWBc1ITmqa9m24h6CdidZi8+l/C+/RKnXxrpYoqp/EESMBibiIwwkEArzSZ2NN/Z0cLDb\nA4BaIePSCZGpAnKTE3dUTUmS6FyzgQO/eRLn/noADJPGMeGn3yXz4rMTtoZJGB1EMiMMWaIc8BVy\nGReOS+WCsSnsbHPy2m4L25odvFPdxbvVXcwtSGb51Cym5xhitqNOlFge5qptZOt1dxOw9pJ58dlM\n//t/I1eLCUwFQTjzYrW/tHuDrN7fxVt7u+h2B4BIbf8VkzJYWpaRkJM4Hx3L7s8rqHno79i27AYg\nKT+bkvu+Q+7yRaJz/yAk2nF8JBLJjDDiyWQyZuQamZFrpN7qYdWeTj6stbK5yc7mJjtj07Qsn5LJ\nBeNSUSfoSDPDwX2ola3X3oW/00r6eXOY/vSv4yqREQeTkxMxGpiIj3C0ll4vb+zpZE2NFV8w0qm/\nKCWJ5VMyuWh84vfDtG7awcE//C/WjRUAqNJSGPfDb1L4jWWjatJLIfGNmnpD0WdGOFqPJ8B71V28\nU91FjycyfGaqVsnlkzL42sQM0nTxc5J+WCzbqntbO9h81R14GltJnTeNWS/9MS6algmCMLxGep+Z\nsCSxvdnBm3s72dps7398dr6R5VOymJVnTPgmVz2bd1Hzh6exbtgOgNJkZMztKxjznetQGsUIZULs\niD4zgjAEqVoVN83M4bppZtbX9vDGng7qrF7+UdHOyzstnFucwpVlmUzK0iX8get0+TqtbLn2LjyN\nrZimT2LWCw/HZSIjqvpPTsRoYCI+o5fLH2LNgW7eruqixe4DQKWQsXBcpI9lcVr87fOGqmdrJQf/\n8DTdn24FQGnUM+b2FRR95zpUJmOMSycIp04kM8KQjaQDvlohZ9GEdC4pSWNXm5O39nayqbGXj2t7\n+Li2h5IMLVeWZXLB2FTUZ6BJQbzH0m/tZeu1d+GubcQ4uYRZL/9JXLkTBCEmzsT+ssnm5e2qSFMy\nT9/8MJl6FVeUZbCkNANTgo5+eZgkSVg37qDusefo/iSSxCgMOrovnc3Vv/4pqpTkGJcw8cX7cXw0\nSOxfqSBEiUwmY3qukem5RiwOP+9Wd7J6fzc1XR4e/rSRp7a0sqQ0ncsmppNtTNwRa4Yi0Otg24p7\ncO6rQ18yhtmv/Al1avwe+MTB5OREjAYm4jM6hMISmxp7eaeqix2tjv7Hp+UYuLIsk/lF8T3Z8mBI\nkkTn2s+pffQ5erfvBUCh11H0nWsZc/v1bNm7WyQywoiR2L/WIRB9ZoSh8gXDrK/r4a29nf3DcMqA\nuQXJfG1SBnPyk4f1gDecbdWDLjfbvn4Ptm170I3JY+6bT5CUnTks3y0IQvxK5D4z3a4Aq/d38f6+\nbrr6RiXTKGRcND6NK8syGZue+E3JwsEg7e98RN1j/8BZXQuAKjWZoluvo/CWa+L6gpQgiD4zghBl\nGqWcSyeks6gkjSqLi7eru9hQb+sfBS3LoOKy0gwWl6bH5YABpyrk8VFx873Ytu0hKc/MnNceS4hE\nRlT1n5yI0cBEfEYeSZLY2erkneouNh6yEZYij+ebNFwxKYOLS9IwahL/VCjk8dH6r/ep/8uLuBta\nANBkZ1D8vRvIv2kpSn3iTuQpCCeT+L9gYdiNtgO+TCZjcraBydkGbGcFWHPAynv7umhz+Hl2exv/\nqGhjwZgULpuYzvRcI/IhDBgQb7EM+/zsuOUnWDdWoDFnMOdff0ZbkBPrYgmCIAxpf9njCbD2gJX3\n93f3d+hXyODc4hQun5QR0/nFosnXaaXx2TdoevYN/N02AHRj8ii+82byrln8lUMsx9uxJ5GJWMae\nSGYEYQhStCqum2bmmvIsKlocvFvdxReNvXxab+PTehvZRjWLJ6Rz6YR00vWJVVsTDgTZ+d1f0PXx\nF6jTU5jz2mPoi/NjXaxBEweTkxMxGpiIT2ILSxIVLQ5W7+tm0yEbob5amAydissmprOkNCPh9stf\nxbm/noa/v0Lrv/5N2OcHILm8lOI7bsB8+YXIleL0Thg9Ev+yxCCJPjPCmdLp8vPB/m7+faCbDmek\nHbZcFulbs6Q0g7kF0elbcybbqkuhELu+/yDtb65DaTIy943HSZ5ccka+SxCExBWPfWa6XH4+OGDl\n3/u7sTgjJ/ZyGcwrMLFkYvqw9288UyRJovuzbTQ8+QpdH22KPCiTkbVoAWO+ez2pZ00fEbVNwugl\n+swIQoxk6tXcPDOHG6Zns6P1yFXBLxrtfNFoJ02nZFFJOosmpJFvSop1cY8jSRJ773+Y9jfXoTDo\nmP3ynxIykRFV/ScnYjQwEZ/E4Q+G2dTYy78PdFPR4ujvC2M2qFlSmpi1418l6HTR+toHND7zBs4D\n9QDItRryrruMMbd9Hf24whiXUBBiSyQzwpCJA/6JKeQyZucnMzs/OdJeu8bKB/u7ae718couC6/s\nslCWpWfRhDTOH5uKXq2Ii1g2v/AWzf94C7lWw6wXHiZlZllMy3OqKisrYx7LeCdiNDARn/j22Wef\nYZ44izU13Xxc24PDFwJAKZdxzhgTS0rTmZE3tH6L8cx5oIHGZ9+g5Z+rCTndAGjMGRR+azkF31iG\nOs10yp8dD8eekULEMvZEMiMIZ0CqVsV15WaunZrFHouLNQe6+bTeRlWHi6oOF09sambBmBTMvS7m\nh6WYNYHo3VFF1c/+BMCUP9xH2lnTY1KOaOjt7Y11EeKeiNHARHziU487wIe1PbzwWSPu/Yb+x8en\na1k0IZ2LxqWSnOCTWx4WDgbpXPM5jc+8Tvdn2/ofTz1rOoXfuhrzZecjV42Mv1UQokX8IoQhE1cg\nBk8mkzE128DUbAN3zM9nQ4ONNQes7Gpz8nFtD5DFulf3snBcKheNT6M4bfjmOfB329hx68+Q/AEK\nVy4n95rFw/bdgiAIA/EEQmw61Mu6g9YjzciyyjAlKblofCqLStIYlz5yhht2N7bR8vI7NL/yHr62\nTgAU2iRyr11M4beuxjhpXFS/TxzHo0fEMvZEMiMIw0SrUnBJSTqXlKTT7vCxrsbKmhor7Q4/r+7u\n4NXdHYxN07JwfCoXjkslQ3/iITWjIdLh/5d4WyyYZk5m4oN3nbHvGi6NjY2xLkLcEzEamIhPbIXC\nEjtbHXxY28PnDTY8gTAQGVJ5fqGJSyakMa8gGZVCHuOSRkfYH6Djg89oevEtuj/dBlKk449uXCGF\nK5eRd91lqEzGGJdSEOLfyGhYOghiNLPoEe1Do+fTzz4jrWQGHx608mm9rb8NuAyYnmtg4fg0FoxJ\nQa9WsH//flwuV2wLLAjCqKbX6yktLY3a50mSRE2Xh49rrXxc14PVHex/blKWjoXjI30MTUnKEXPs\ncdY00PziO7T8830C1sjcMHKNmuwrLiT/hqWkzj/zo5KNlFjGAxHL6BGjmQlCApLLZEzJNjAl28D3\n5ueztcnOhwd72NzYy45WJztanTy6oYk5BcmcPzaLs6Ymo1UpYl3suCQOKNEjYhk9IpYn1tDjYX1t\nD+vrbLT2TWoJkJus5qJxaSwcn0aeSRPDEkaX39pL25vraH3tfXp3VPU/bpg0joIbl5J7zaWoUpJj\nWEJBSFyiZkYQ4pDTF+Szehsf1fawu81J36ijaJRyzipM5oKxqczJT0atHBnNLQRBGPna7D7W1/Ww\nvraH+h5v/+OpWiXnFUea107K0o2YuVLC/gCd6zbS8tr7dK7biBSI1DopDDpyli4k/6almGaUjZi/\nVxBOl6iZEYQRxKBRsmRiBksmZtDtCvBpfQ+f1EVGQ/ukzsYndTZ0Kjnzi0ycW5zCrLxkNCKxEQQh\nzrT0+vi0vofP6m0c7Pb0P27UKDhnTAoXjEulPNswIia1BJDCYWzb9tD2xhra3lpHoMceeUIuJ+PC\ns8i9bjHmS89DoYu/OccEIVGJsx9hyDZs2BDrIowYg4llul7FsilZPLJ0As9/vYxb5+QyPl2LOxDm\nw4M9/HJtPde9WMlvPqrn0/oePIHQMJQ89np6eli2bBlz5sxh+fLlfPDBByd83Q9+8ANKS0tZsGDB\nMJcwdtatW8e8efOYPXs2jz766Alfc//99zN79mzOPfdcdu/efcxzI/03frL4HDhwgEWLFpGTk8Pj\njz9+Wt810mN5Ik02Ly/uaOe7b+zjW69V8cy2Ng52e9Cq5Fw4LpX/WjSWV26Ywg/PLWRGrnHQiUy8\nxlKSJHp3VrPvwcf5ZM7VbF76XRqffYNAjx3DpHGUPvADLtjxJrNf/iO5yxbFRSITr7FMRCKWsSdq\nZgQhgWQbNVw3zcx108w093r5rN7Wf8VzfZ2N9XU2NAoZcwpMnFtsYm6BCb16ZPaxeeSRR7jwwgu5\n6667ePTRR3n99ddZvPj44aVvvPFGbrvtNr73ve/FoJTDLxQKcd9997Fq1SpycnJYuHAhixcvPqbT\n9tq1a6mrq2Pbtm1s27aNH//4x6xduzaGpR4+g4lPWloaDz30EKtXr45hSROHJEkc7Paw6VAvGxps\nNBzVhOzoGuTZeSOraayjupa2t9bR/uY63A0t/Y8n5ZnJvuIicq9dTPLkkhiWUBBGB5HMCEMmOrNG\nz+nEMt+UxPXTs7l+ejZtDh8b+hKbfZ1uNjTY2NBgQymXUZ5j4OwiE/OLTGSeweGeh9sHH3zAO++8\nA8CKFStYunTpCV83f/78UTXk7vbt2ykuLqawsBCA5cuX8/777x9zsv7++++zYsUKAGbPno3dbqej\no4OsrCxgZP/GBxOfjIwMMjIyWLNmzWl/30iNZTAsUdnuZGNDL5sabXQ4A/3PGdQK5heZOK84hRl5\nRtRRGko51rGUJAn7rn1Y3v8Ey+pPcNUc6n9OnZlG9hUXkXPVxaTMnoJMHt9JW6xjOZKIWMaeSGYE\nYQTIMWq4ttzMteVmOpx+Pm+w8XlDL3ssTipaHFS0OHh8YzMTMnTMLzJxdpGJMalJCd3x9OiT76ys\nLDo6OmJcovjQ1tZGXl5e/3pubi7bt28/6WtaW1v74zmSDSY+wom5/CEqWhxsOmRjc5O9fyh5gDSd\nkrMLU5hfZGJ6rmHEzAUjhUL0bN7dn8B4Wyz9z6lSkzFffiE5Vy4kbf4MZIqRWQsuCPFOJDPCkImh\nRqPnTMQyy6Bm2ZQslk3JotcbZHNjL5sO9bKtxcGBLjcHutw8t70Ns0HN3IJk5hUmMy3HGJcDCCxb\ntuyEScrPf/7zY9ZlMhmh0OjoK3Qyg01QJUk6Zv3o943k3/hwJ/CJHstWu4/Njb180Winst1JMHxk\nuykwaTh7TApnF5kozdQhHyFzowRdbro/3Urn2o10/Psz/N22/uc02RmYl5yP+bLzST1rOnJVYp5G\nJfp2GU9ELGMvMX+FgiAMiilJyaIJ6SyakI4vGO67qtrLF429WJx+3qnu4p3qLjQKGdNzjcwrNDG3\nIJksQ3w0R1u1atVXPpeVlYXFYsFsNtPe3o7JZBrGksWvnJwcWlqOtN9vaWkhNzd3wNe0traSk5Mz\nbGWMpcHEZzQLhMJUWVxsbrKzubGXpt4jc8DIZTDFrGdeYaTZamFK7DuyR4v7UAsdaz+nc91GrBt3\nIPmPNJvTFedjvux8zF+7ANP0SXHfhEwQRhuRzAhDJq5ARM9wxlKjjHTEnV9kIixJHOh0s6XJzuam\nXmq6PJGTl6bIMKJFqUnMzjMyKz+Z8mxDXHbaXbx4Ma+88gp33303r7zyCtdcc02sixQXZsyYQV1d\nHY2NjWRnZ7Nq1SqeeuqpY16zZMkSnnrqKa6++mq2bt1KcnLyMU3MRvJvfDDxOezLtVenIhFi2Wb3\nsa3ZzrZmBzvbHHgC4f7nDGoFs/MjFzrm5CeTnBS704ZoxjLk9WHbWknnR1/QuW4jrpqGI0/KZKTM\nnkLmJQvIWnQOholjE7pJ7okkwnaZKEQsY29k/ToHICbNFISv1u0OsKXJzpbGXipajz2ZUSsigwjM\nyktmdr6RwpT46GvT09PDLbfcQnNzMwUFBTzzzDOYTCba2tq45557ePXVVwG49dZb2bhxI1arlYyM\nDH7yk59w4403xrj0Z9batWv52c9+RigU4qabbuKHP/whzz77LAArV64E4N577+XDDz9Ep9Px+OOP\nM23atNgVeJidLD4Wi4WFCxficDiQy+UYDAY2bdqEwWCIbcGjxBMIsbvNybZmB9ua7bTYfcc8X5SS\nxJyCZM4qTKbMbEA5AuaAkSQJ5/56uj/ZQtf6LVi/2EHYc+TvViYbyLhgHpmXnE3mhWehzkiNYWkF\nYXQ61UkzE38PNUgimYke0T40euIxloebmWxrcbC92X7MRHcAGXoVM3KNzMg1Mj3XQEacjJAWj7FM\nVCKW0RMPsQyGJfZ1uNjR6mBHq4Nqi4vQUZVOerWCGblG5uRHamPjpZnplw01lt62TqwbK+j+dCtd\nn2zB1951zPPGsvGknz+XzIvPJnVuecL2fzkV8bBdjhQiltFzqsnM6PnlCoIwKCqFnGm5RqblGvn2\nnFx63AG2tzjY3mJne7ODLleAtTVW1tZYAcg3afqTm/IcQ0yboQiCAGFJot7qYWerk52tDna3O4+p\nbZXLoDRTx6w8I3Pyk5mYpR/0xJXxzNveiXXjDqwbK7Bu3IG7rumY59WZaWScP4f08+eScf5cNFnp\nMSqpIAjRlPh7r0ESNTOCcPoOnyTt6DtJqvzSSZIMKE7TUp5joDzbwJRsPSlaVewKLAijQCgsUWf1\nsLvNye52J3vanccMmwyRkcdm5BmZnmtkWo4BoyaxLzpIkoSnsZWeLbvp2bI7krzUHjuflEKvI3Xe\nNNIXzCT9grkYJ40TnfcFIY6JmhlBEM44uUzGuHQd49J1XDM1i2BYYn+nK5LctDio7nBRZ/VQZ/Xw\n5t5OINL+fmqOganZBqZm6+OmWZogJKpAKMzBbg972p3sbnOyx+LC5T82ecnUq5iWY+hPYBJ9wtxw\nIIhjzwF6tlbSs2U3tq2V+CzHNhtT6LSkzisn7eyZpC2YSXJ5KXKlOM0RhJFO/MqFIRPtQ6Mn0WOp\nlMuYbDYw2WzgphnZ+IJhqjtcVPadZFV3uDhk83LI5uXd6siJh9mgpsysZ7JZT1mWnuI0bVSauCR6\nLOOJiGX0RCOWdm+QvRYXVRYney0u9ne5CYSOHWnNbFBTnmNgWo6BqTkGsg3quBio41RIkoS3uZ3e\nHdXYdlTRu6MK+659VLq6KZPr+1+nSjORMnsqqXOmkjp/OqZpk0ZVv5fTIX7j0SNiGXviVy8IQtRo\nlHKm50auBAP4Q2FqOt3sPiq5sTj9WJx+Pq7tAUCrkjMxU8ekLD0Ts/SUZupIFU3ThFEqFJZo6PFQ\n3eFmf6eLKovrmLleDitMSWKyWc+UbD3l2UbMxsStefF1WrFXHsC+qxrbjmp6d1Th77Qe9zpNThZ5\nF5xP6rxppMyZin58UcImbIIgRM+o2QuIPjOCEHuhsMShHi9VHS72WpxUWVy0OfzHvc5sUDMxU0dp\nlp6JmTrGZ+hIisO5bgThdEiSRIczwP5OF/s63ezrcFHT5cb3pVoXtULGhExdXy1opEYzEQfaOFzj\nYq880Hfbj33PgeNGGQNQpSZjml6GaUYZKTPLME2fJIZLFoQRTvSZEQQh7inkMsamaxmbruXySRkA\nWN0Bqiwuqjtc7O90c6DL3V9780m9DYiMvlSUksT4DB3j07WUZOgYm6ZFp1bE8s8RhEGTJIl2h5+a\nLjc13R5qutwc7HJj/1JHfYDcZDWlmZFEfmKWnvHpWlSKxErmA3Ynzn11OKprcVbX4thXh3NfLQGb\n47jXKvQ6kqeWkDy1tD950RbliVoXQRAGRSQzwpCJ9qHRI2IJaToV5xSncE5xChCpvWm0ednXGWlm\ns7/TTb3VQ32Pl/oeL2trIu+TAXkmDePTtYxP19Fbu5Nll15Iuk4lToJOk9guT48/GKbR5qXO6mHd\n+k8hfwoHuzw4/ccnLqYkJSUZWiZm6pmYpaM0U48pgWpd/D12XAcP4ao5hLOmAdeBehz76vC2WE74\nelVaCsnlE0ieMoHkqaUkT52AbkzeoEYZE9tl9IhYRo+IZewlzh5TEIRRQSGXUZympThNy5LSyDwQ\n3mCYequHg11uDvZd1W7o8dLc66O518f6Ohv22lZes+7FqFEwtu/9xWlailOTKExJErU4QtSFJQmL\nw88hm5eGHg/11kgC02TzEu5rKWavt5EsdwKQkqSkJENHSYa2b6kjUx//yXfY58d9qBV3QzOuuibc\ndU04DzTgOngIf1fPCd8jT1JjmFCMoXQsxknjMEyKLDXmjLj/ewVBSCyjZo8i+swIwsgSCIU51OOl\npttDXbenr/bGc9z8Godl6FUUpSRR2JfcFKVElonY90AYXsGwRLvDR6PNy6Eeb/+yyeY9rn8LRJpF\n5iVrGJsWaVI5JlVLSYY2bmsNJUkiYHPgaWqL3Bpbcde39Ccv3hYLSMf/nQAKbRL6kiL044swHF5O\nGoe+OB+ZQlxAEARh8ESfGUEQRhWVQh7pQ5Oh639MkiS63IFIYtN3lbzB6qG510eXK0CXK8D2lmPb\n7CdrFOSbksg1achP1pBn0pBv0pCbrEGrEidjo0VYkuh2B2jpq+1r7vX2329z+PprWr4sXaeiMCWJ\nMalJFKdpGZumpSg1CU0cDVgRDgbxd1jxtFrwtnTgbbXgbe3A09iKp6kdT1MbQYfrqz9ALkdbmIOu\nOB/9mHx0YwvQlxRhKBlDUm6WmIhSEISYEsmMMGSifWj0iFhGz+FYZurVZOrVzC0w9T8X6r+y7uOQ\nzUOjzUdj3xV2uy9EVYeLqo7jT+bStEqyjRrMRjXZRjXZRg3ZRjU5xsh3RGN+nHg0ErdLSZJw+UNY\nnH7aHX7aHH7aHT7a7H7aHD4sTv9xc7ccJiMywl6+SUNRalJ/DV9RShIGzcCH0TMZS0mSCPTY8Vm6\n+m7d+DoiS297F772TrytHfgs3UihE9dYHqbQ69AW5qAtyEFbkH0kcSnOR1uQg1wd++HSR+J2GSsi\nltEjYhl7iZDMLAYeARTA08BDJ3jNY8ASwA2sBHYMV+EEQYh/CrmMPFMSeaYk5hcdSXIkScLqDtJi\nj/S/aen10WyPLNvsPqyeIFZP8ISJjlwWGbwgS68mU68i03BkmaVXk6ZTkqpVjdiEJ55IkoQ7EKbb\nHcDqjtTAdTj9dLj8dDoDfUs/7kB4wM8xJSnJ76uZyzNpyE9OIq+vlm44alqkUIhAr5NATy/+nl4C\nVnvkflcPvq4e/J1W/N09R9a7epACwUF9tjozjaTcLLR5ZjQ5mWhzzUeSl8JcVKnJcdl3v38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+ "text": [ + "" + ] + } + ], + "prompt_number": 16 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Agregando texto a una grafica" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# CustomPlot()\n", + "figsize(11.5, 6) \n", + "font_size = 20\n", + "fig, ax = plt.subplots()\n", + "ax.plot(xx, xx**2, xx, xx**3)\n", + "ax.set_xlabel(r'$x$', fontsize = font_size)\n", + "ax.set_ylabel(r'$y$', fontsize = font_size)\n", + "ax.set_title(r\"Adding Text $y=x^2$ vs. $y=x^3$\", fontsize = font_size)\n", + "ax.text(0.15, 0.2, r\"$y=x^2$\", fontsize=font_size, color=\"blue\")\n", + "ax.text(0.65, 0.1, r\"$y=x^3$\", fontsize=font_size, color=\"green\");" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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UYbXALcd04cz+HbA46QQ9AFt1Nauvf5isX//Br2Mkx8x+B/9OUU7bvztRT7KI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\nR8Qf4JI58wm2e1n/2jp27dnD5JoOQp1dbKp8i3CPj4WeYkK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+ "text": [ + "" + ] + } + ], + "prompt_number": 17 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicio\n", + "\n", + "Vamos a utilizar `matplotlib` con frecuencia, ya que es la libreria estandar para hacer graficas en Python. Por ahora repitan el codigo de las celdas de esta libreta cambiando parametros y ejecuetenlos. No olviden guardar los cambios a la libreta." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A continuacion veremos [matematicas simbolicas.](Lib08_Esenciales_IPython_Notebook.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib08_Esenciales_IPython_Notebook.ipynb b/Dia1/notebooks/Tutoriales/Lib08_Esenciales_IPython_Notebook.ipynb new file mode 100644 index 0000000..7950348 --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib08_Esenciales_IPython_Notebook.ipynb @@ -0,0 +1,343 @@ +{ + "metadata": { + "celltoolbar": "Slideshow", + "name": "", + "signature": "sha256:ea59fc76ff73062ba60feb78dd598b8df74f305905d6e08194173c6c629995e2" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": true, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# IPython Notebook\n", + "\n", + "![IPython Notebook](http://ipython.org/_static/ipy_0.13.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Matematicas Simbolicas usand SymPy\n", + "\n", + "`SymPy` es una librearia de Python para matematicas simbolicas, apuntando a convertirse en un sistema de algebra computacional manteniendo el codigo los mas simple y comprensible posible. `SymPy` esta completamente escrito en python y no requiere ninguna libreria externa." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from sympy import *\n", + "init_printing(use_latex=True)" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "x = Symbol('x')" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 13 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "y = Symbol('y')\n", + "series(exp(x), x, 1, 5)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "latex": [ + "$$e + e x + \\frac{e x^{2}}{2} + \\frac{e x^{3}}{6} + \\frac{e x^{4}}{24} + \\mathcal{O}\\left(x^{5}\\right)$$" + ], + "metadata": {}, + "output_type": "pyout", + "png": 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+ "prompt_number": 10, + "text": [ + " 2 3 4 \n", + " \u212f\u22c5x \u212f\u22c5x \u212f\u22c5x \u239b 5\u239e\n", + "\u212f + \u212f\u22c5x + \u2500\u2500\u2500\u2500 + \u2500\u2500\u2500\u2500 + \u2500\u2500\u2500\u2500 + O\u239dx \u23a0\n", + " 2 6 24 " + ] + } + ], + "prompt_number": 10 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "eq = ((x+y)**2 * (x+1))\n", + "eq" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [ + { + "latex": [ + "$$\\left(x + 1\\right) \\left(x + y\\right)^{2}$$" + ], + "metadata": {}, + "output_type": "pyout", + "png": "iVBORw0KGgoAAAANSUhEUgAAAIoAAAAbBAMAAABRkwqxAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nSUVORK5CYII=\n", + "prompt_number": 11, + "text": [ + " 2\n", + "(x + 1)\u22c5(x + y) " + ] + } + ], + "prompt_number": 11 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "expand(eq)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "latex": [ + "$$x^{3} + 2 x^{2} y + x^{2} + x y^{2} + 2 x y + y^{2}$$" + ], + "metadata": {}, + "output_type": "pyout", + "png": "iVBORw0KGgoAAAANSUhEUgAAASgAAAAYBAMAAAC7JH0zAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n0R19G5cyz1PjnUwOkHREyj9nXAiYJhQ2HQAAAABJRU5ErkJggg==\n", + "prompt_number": 12, + "text": [ + " 3 2 2 2 2\n", + "x + 2\u22c5x \u22c5y + x + x\u22c5y + 2\u22c5x\u22c5y + y " + ] + } + ], + "prompt_number": 12 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "a = 1/x + (x*sin(x) - 1)/x\n", + "a" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "latex": [ + "$$\\frac{1}{x} \\left(x \\sin{\\left (x \\right )} - 1\\right) + \\frac{1}{x}$$" + ], + "metadata": {}, + "output_type": "pyout", + "png": "iVBORw0KGgoAAAANSUhEUgAAALYAAAAqBAMAAADserwPAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAzRAiu5mrdu/dZkSJ\nVDL+6OvUAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAClElEQVRIDe2VP2gTURzHv3dJG5Nc0ouTImoK\nYh1EbuggChoQKbikix2lm+Jg4mJBCo0dXBx0UhzEE3ft6mQWFerSTdyy6SKRggUnfX9+937v5XIg\n8sYctPf9fb+/97mXl+MXADgs/nxfQVsRl/d9g4FSV7FPrflnh1d7et8V/2xga8bOvQ2zM8kdyew9\nyR8Jncncrd+3ddhMpzQpK0tqo2kdb/Lm2uOnqeMuO9X3PpcmucMeKTFE50c5N2eINusaD7kwScCe\nVmqIxpNurq4McxYZnLDSkR6im9QXJkWEQ/+QhIOJ1WqIniGzYR2j2/fOLS+NTG0lx42phWIHe7oo\nZn8QDUv3Lm6Kh3/7crfUXW8eubFxU66yEintS7GjVW0Vs68B4bD2rBoj7KCK8jqCFVxOxDJO8EpT\nzH/FrsW6Lma/AKJ2tN9IUN9GJNnlARZSsYwTfBWlfSl244m2Jtl/1CWzR2LfCDpSvlxJFDvGQt9N\nxjJefC6vE1IqdvOnlIBhM1QHkg3NwtmTvxS7Y9hZoti0QN6YHbVaRx+0WqtWyFJ8cmA8QhulBG93\n5JkQmxNYr4xaqdj1gjNhtvjGGu0tVNpoDDGfWmxO/ve7/Ai83+vignjENsqJ2HS2b05wnffC+56j\ngzDnPdEE+XFPbyztpkB99/7nZu/gXO/gR/eh6OMEx9xleogGO9otZlcTdx1XnJQG7LI6T7KYXaNP\nxmsyxUnUzzz7/omKemq7jr7iVHZhkkXbzXQYZ6r4bn4Bci0mMQ+xW8qFh8ldpZS1q7KkNpXy2m22\nKhp9luNBaiiNPg88C0FQGn1W4EESNBt9HoiMMFA1Rtn3owiqRp8fIlMUlEYfuz4UQWn0+SAyg6A0\n+tj3oTT0L/PptALfJ9DTAAAAAElFTkSuQmCC\n", + "prompt_number": 14, + "text": [ + "x\u22c5sin(x) - 1 1\n", + "\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 + \u2500\n", + " x x" + ] + } + ], + "prompt_number": 14 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "simplify(a)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "latex": [ + "$$\\sin{\\left (x \\right )}$$" + ], + "metadata": {}, + "output_type": "pyout", + "png": "iVBORw0KGgoAAAANSUhEUgAAADcAAAAVBAMAAAAQkWtIAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAMnZUzRC73UTviSKZ\nZqszMyTAAAAACXBIWXMAAA7EAAAOxAGVKw4bAAABLElEQVQoFZWRvUvDUBRHTzRpa2NFxdUSKl0q\nSBcFdcnUOZOgk4MIIkgGN5fgpqOrDiI66yQUEfInqIvgB1TBSYSoIH6g8b0kfYndvEPeeffc/Lgk\n8K8aTqbPk1PbSl835xPu649B+0yl7rTZbkN61hSmpFrbimZjMgdUp+Aq1OtoIxX7+IehncExS/SL\nPhiVx/W9CGfAZQUalvklZO4M5ri0VqFks+GwK+USfAuZr8MBh840dLvk30aRcgFehOzxwKEhCC3A\n2A99KRdTGZOUJ5TeM1LGoj1jgFh8Cp4yUi403hVQjRaadFiWmUlssUXhNReYYqbXZ/PiyiuHD+Xw\nbuKjFWUZ99XarQjXPfH4W2vq2lSk4EaR+EidlTtKOobdqUD9bDWVnTlNLtfwC1XgR6gJ3g8BAAAA\nAElFTkSuQmCC\n", + "prompt_number": 15, + "text": [ + "sin(x)" + ] + } + ], + "prompt_number": 15 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Ejercicio\n", + "Escriban la siguiente ecuacion cuadratica usando `sympy`:\n", + "\n", + "$$\n", + "ax^2+bx+c = 0\n", + "$$\n", + "\n", + "y obtengan la solucion, es decir, el valor de $x$ que la resuelve (la solucion es la formula cuadratica).\n", + "\n", + "**Hint** deben crear simbolos para los coeficientes $a,b,c$ y definir una ecuacion como en los ejemplos presentados. Despues usen el metodo `solve` de la libreria. Recuerden que pueden consultar la ayuda de un metodo o funcion con `?`, por ejemplo\n", + "\n", + " solve?\n", + " \n", + "No olviden guardar los cambios al terminar de hacer los ejercicios." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A continuacion veremos como podemos usar [IPython Notebook para analizar datos.](Lib09_Esenciales_IPython_Notebook.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib09_Esenciales_IPython_Notebook.ipynb b/Dia1/notebooks/Tutoriales/Lib09_Esenciales_IPython_Notebook.ipynb new file mode 100644 index 0000000..0076a8d --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib09_Esenciales_IPython_Notebook.ipynb @@ -0,0 +1,1432 @@ +{ + "metadata": { + "celltoolbar": "Slideshow", + "name": "", + "signature": "sha256:6bb171fa0a9177cd61c7f284bc8c8b5e92bca3866d2c2704ddcd74f8a7a02bfc" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": true, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "ERROR: File `u'../talktools.py'` not found.\n" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# IPython Notebook\n", + "\n", + "![IPython Notebook](http://ipython.org/_static/ipy_0.13.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Analisis de datos usando la libreria Pandas\n", + "`pandas` es un paquete de python que proporciona acceso a estructuras de datos de manera rapida, flexible y de sencilla expresion, disenada para trabajar con datos que tienen atributos o tablas relacionales, de manera simple e intuitiva.\n", + "\n", + "Los dos tipos principales de estructuras de datos que emplea `pandas`, `Series` (uni-dimensionales) y `DataFrame` (bi-dimensionaes), son suficientes para manipular la gran mayoria de casos tipicos de analisis de datos en diversas areas como finanzas, estadistica , ciencias sociales, ingenierias, etc.\n", + "\n", + "" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import pandas as pd\n", + "%matplotlib inline" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 55 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Usaremos datos climaticos de Xalapa correspondientes a las ultimas 24 horas, obtenidos [de este sensor de la Comision Nacional del Agua](http://smn.cna.gob.mx/emas/catalogo/XALAPAob.html)" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "archivo = './VR23_10M.xls'\n", + "pd.read_excel(archivo).head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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FECHA DIRS DIRR RAPVIENTO2 RAPRAFAGA2 TEMP HR PB PREC RAD-SOL
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DIRS DIRR RAPVIENTO2 RAPRAFAGA2 TEMP HR PB PREC RAD-SOL
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 64, + "text": [ + " DIRS DIRR RAPVIENTO2 RAPRAFAGA2 \\\n", + "FECHA \n", + "2014-10-03 14:00:00 58 194 1.0 2.0 \n", + "2014-10-03 14:10:00 85 276 1.0 2.0 \n", + "2014-10-03 14:20:00 86 202 1.0 2.1 \n", + "2014-10-03 14:30:00 75 222 0.8 2.3 \n", + "2014-10-03 14:40:00 63 208 0.9 2.7 \n", + "\n", + " TEMP HR PB PREC \\\n", + "FECHA \n", + "2014-10-03 14:00:00 21.8 81 867.9 0 \n", + "2014-10-03 14:10:00 22.8 76 867.9 0 \n", + "2014-10-03 14:20:00 22.8 75 868.1 0 \n", + "2014-10-03 14:30:00 23.2 74 868.2 0 \n", + "2014-10-03 14:40:00 22.2 79 868.2 0 \n", + "\n", + " RAD-SOL \n", + "FECHA \n", + "2014-10-03 14:00:00 349 \n", + "2014-10-03 14:10:00 383 \n", + "2014-10-03 14:20:00 136 \n", + "2014-10-03 14:30:00 311 \n", + "2014-10-03 14:40:00 576 " + ] + } + ], + "prompt_number": 64 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Conviene asignar una variable a esta accion:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "xalapaOb =pd.read_excel(archivo, header=4, index_col='FECHA', parse_dates=True, encoding='utf-8')\n", + "xalapaOb.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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DIRS DIRR RAPVIENTO2 RAPRAFAGA2 TEMP HR PB PREC RAD-SOL
FECHA
2014-10-03 14:00:00 58 194 1.0 2.0 21.8 81 867.9 0 349
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 80, + "text": [ + " DIRS DIRR RAPVIENTO2 RAPRAFAGA2 \\\n", + "FECHA \n", + "2014-10-03 14:00:00 58 194 1.0 2.0 \n", + "2014-10-03 14:10:00 85 276 1.0 2.0 \n", + "2014-10-03 14:20:00 86 202 1.0 2.1 \n", + "2014-10-03 14:30:00 75 222 0.8 2.3 \n", + "2014-10-03 14:40:00 63 208 0.9 2.7 \n", + "\n", + " TEMP HR PB PREC \\\n", + "FECHA \n", + "2014-10-03 14:00:00 21.8 81 867.9 0 \n", + "2014-10-03 14:10:00 22.8 76 867.9 0 \n", + "2014-10-03 14:20:00 22.8 75 868.1 0 \n", + "2014-10-03 14:30:00 23.2 74 868.2 0 \n", + "2014-10-03 14:40:00 22.2 79 868.2 0 \n", + "\n", + " RAD-SOL \n", + "FECHA \n", + "2014-10-03 14:00:00 349 \n", + "2014-10-03 14:10:00 383 \n", + "2014-10-03 14:20:00 136 \n", + "2014-10-03 14:30:00 311 \n", + "2014-10-03 14:40:00 576 " + ] + } + ], + "prompt_number": 80 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Veamos los encabezados de cada columna:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "xalapaOb.columns" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 87, + "text": [ + "Index([u' DIRS', u' DIRR', u' RAPVIENTO2', u' RAPRAFAGA2', u' TEMP', u' HR', u' PB', u' PREC', u' RAD-SOL'], dtype='object')" + ] + } + ], + "prompt_number": 87 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "xalapaOb.columns[0]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 88, + "text": [ + "u' DIRS'" + ] + } + ], + "prompt_number": 88 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "xalapaOb.columns[0].strip()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 89, + "text": [ + "u'DIRS'" + ] + } + ], + "prompt_number": 89 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Necesitamos remover los espacios en blanco de los encabezados, de modo que podamos acceder a ellos de manera simple. Es decir en lugar de" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "xalapaOb[[u' DIRS']].head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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DIRS
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2014-10-03 14:00:00 58
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 90, + "text": [ + " DIRS\n", + "FECHA \n", + "2014-10-03 14:00:00 58\n", + "2014-10-03 14:10:00 85\n", + "2014-10-03 14:20:00 86\n", + "2014-10-03 14:30:00 75\n", + "2014-10-03 14:40:00 63" + ] + } + ], + "prompt_number": 90 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "xalapaOb[[u' TEMP']].head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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TEMP
FECHA
2014-10-03 14:00:00 21.8
2014-10-03 14:10:00 22.8
2014-10-03 14:20:00 22.8
2014-10-03 14:30:00 23.2
2014-10-03 14:40:00 22.2
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 91, + "text": [ + " TEMP\n", + "FECHA \n", + "2014-10-03 14:00:00 21.8\n", + "2014-10-03 14:10:00 22.8\n", + "2014-10-03 14:20:00 22.8\n", + "2014-10-03 14:30:00 23.2\n", + "2014-10-03 14:40:00 22.2" + ] + } + ], + "prompt_number": 91 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "queremos acceder a las columnas usando \n", + "\n", + " xalapaOb[['TEMP']]\n", + "\n", + "Que pasa si ejecutan esta instruccion?\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Para renombrar columnas usamos el metodo `rename` de la estructura:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "xalapaOb.rename(columns=lambda x: x[:].strip(), inplace=True)\n", + "xalapaOb.rename(columns = {'RAD-SOL':'RADSOL'}, inplace=True)\n", + "xalapaOb.columns" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 106, + "text": [ + "Index([u'DIRS', u'DIRR', u'RAPVIENTO2', u'RAPRAFAGA2', u'TEMP', u'HR', u'PB', u'PREC', u'RADSOL'], dtype='object')" + ] + } + ], + "prompt_number": 106 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicio\n", + "Ejecuten nuevamente la instruccion \n", + "\n", + " xalapaOb[['TEMP']]\n", + " \n", + "Que sucede ahora?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Veamos una grafica general de todos los datos contenidos en la estructura `xalapaOb`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "CustomPlot()\n", + "xalapaOb.plot()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 95, + "text": [ + "" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": 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uAIPSDyHyhbtv2UhjejBEXKay1bdMpSVT3qc9Zas3sAcDERERERF1Ngww6MB6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\n5O8j+mHYylRa68FgKCmncP1Okl76iOxlawDRj6A1qLaZaXr07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6LTh2FwBIMgkzHpuYfQ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LhFho88RPkABiEZXa/BOTYBguCAeD1P1nOQefeRFPlZSKZxhbzKj7vkPmefMQupD3vuY27NtL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\nl8755qS4Ny/Fvjkp7vNLCQwiIiIiIiIiMme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SqtFKAeFx4A+AFwInA78LnACcTyogHAfcWIwBlgNnF59PAy5t8fvURq77YerC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\nkiRJkiRJkiRJkiRJysT/Bx6sAFyh86PBAAAAAElFTkSuQmCC\n", + "text": [ + "" + ] + } + ], + "prompt_number": 97 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora grafiquemos unicamente la temperatura" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "figsize(11.5, 6)\n", + "font_size = 20\n", + "plt.title('Temperatura en Xalapa (24 horas)',fontsize = font_size)\n", + "plt.xlabel('hora',fontsize = font_size)\n", + "plt.ylabel(r'Temperatura [$^\\circ C$] ',fontsize = font_size)\n", + "xalapaOb['TEMP'].plot();" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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Gz53jJryhjRrSsWAtlng6NSSyYM0VWrgWmuFt7x1kT1M3eX4fq2aVxn1f0ep4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\ns6J9jy3AuTNTuHFuOrERozeoa+vq5cW1lbxfYAw2x8aE8aMFWYf8EvH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+ "text": [ + "" + ] + } + ], + "prompt_number": 109 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "figsize(11.5, 6)\n", + "font_size = 20\n", + "plt.title( 'Radiacion solar', fontsize=font_size)\n", + "plt.xlabel('horac', fontsize = font_size)\n", + "plt.ylabel(r'$MJ / day / m^2$',fontsize = font_size)\n", + "xalapaOb.RADSOL.plot();" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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khuZIDc1IQ/1EOAvGWJZVWxT4x6fMD534V0/ViOZx9utcO73NQdMFBUEQBEEQkkCEc4eZ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+ "text": [ + "" + ] + } + ], + "prompt_number": 110 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos extraer datos facilmente, por ejemplo la temperatura entre las 3:00 y las 12:00 horas. Para esto es util tener una referencia del indice de la estructura:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "xalapaOb.index" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 117, + "text": [ + "\n", + "[2014-10-03 14:00:00, ..., 2014-10-04 13:50:00]\n", + "Length: 144, Freq: None, Timezone: None" + ] + } + ], + "prompt_number": 117 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "madrugada = xalapaOb['2014-10-03 3:00:00' : '2014-10-04 6:00:00']\n", + "madrugada.TEMP.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 121, + "text": [ + "FECHA\n", + "2014-10-03 14:00:00 21.8\n", + "2014-10-03 14:10:00 22.8\n", + "2014-10-03 14:20:00 22.8\n", + "2014-10-03 14:30:00 23.2\n", + "2014-10-03 14:40:00 22.2\n", + "Name: TEMP, dtype: float64" + ] + } + ], + "prompt_number": 121 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Veamos las horas de madrugada en las que la temperatura bajo de la media del dia:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "media = xalapaOb.TEMP.mean()\n", + "media" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 131, + "text": [ + "20.705594405594411" + ] + } + ], + "prompt_number": 131 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "madrugada[madrugada.TEMP <= media].head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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DIRSDIRRRAPVIENTO2RAPRAFAGA2TEMPHRPBPRECRADSOL
FECHA
2014-10-04 00:50:00 30 169 1.6 5.5 20.6 84 868.5 0-1
2014-10-04 01:00:00 209 350 1.5 4.1 20.5 81 868.6 0 0
2014-10-04 01:10:00 286 82 1.3 5.2 20.2 82 868.7 0-1
2014-10-04 01:20:00 287 42 2.7 6.2 19.8 82 869.0 0-1
2014-10-04 01:30:00 247 335 2.8 5.3 19.3 87 869.3 0-1
\n", + "
" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 138, + "text": [ + " DIRS DIRR RAPVIENTO2 RAPRAFAGA2 TEMP HR PB \\\n", + "FECHA \n", + "2014-10-04 00:50:00 30 169 1.6 5.5 20.6 84 868.5 \n", + "2014-10-04 01:00:00 209 350 1.5 4.1 20.5 81 868.6 \n", + "2014-10-04 01:10:00 286 82 1.3 5.2 20.2 82 868.7 \n", + "2014-10-04 01:20:00 287 42 2.7 6.2 19.8 82 869.0 \n", + "2014-10-04 01:30:00 247 335 2.8 5.3 19.3 87 869.3 \n", + "\n", + " PREC RADSOL \n", + "FECHA \n", + "2014-10-04 00:50:00 0 -1 \n", + "2014-10-04 01:00:00 0 0 \n", + "2014-10-04 01:10:00 0 -1 \n", + "2014-10-04 01:20:00 0 -1 \n", + "2014-10-04 01:30:00 0 -1 " + ] + } + ], + "prompt_number": 138 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "madrugada[madrugada.TEMP > media].head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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DIRSDIRRRAPVIENTO2RAPRAFAGA2TEMPHRPBPRECRADSOL
FECHA
2014-10-03 14:00:00 58 194 1.0 2.0 21.8 81 867.9 0 349
2014-10-03 14:10:00 85 276 1.0 2.0 22.8 76 867.9 0 383
2014-10-03 14:20:00 86 202 1.0 2.1 22.8 75 868.1 0 136
2014-10-03 14:30:00 75 222 0.8 2.3 23.2 74 868.2 0 311
2014-10-03 14:40:00 63 208 0.9 2.7 22.2 79 868.2 0 576
\n", + "
" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 139, + "text": [ + " DIRS DIRR RAPVIENTO2 RAPRAFAGA2 TEMP HR PB \\\n", + "FECHA \n", + "2014-10-03 14:00:00 58 194 1.0 2.0 21.8 81 867.9 \n", + "2014-10-03 14:10:00 85 276 1.0 2.0 22.8 76 867.9 \n", + "2014-10-03 14:20:00 86 202 1.0 2.1 22.8 75 868.1 \n", + "2014-10-03 14:30:00 75 222 0.8 2.3 23.2 74 868.2 \n", + "2014-10-03 14:40:00 63 208 0.9 2.7 22.2 79 868.2 \n", + "\n", + " PREC RADSOL \n", + "FECHA \n", + "2014-10-03 14:00:00 0 349 \n", + "2014-10-03 14:10:00 0 383 \n", + "2014-10-03 14:20:00 0 136 \n", + "2014-10-03 14:30:00 0 311 \n", + "2014-10-03 14:40:00 0 576 " + ] + } + ], + "prompt_number": 139 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos obtener una descripcion estadistica simple:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "xalapaOb['TEMP'].describe()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 142, + "text": [ + "count 143.000000\n", + "mean 20.705594\n", + "std 3.649730\n", + "min 16.400000\n", + "25% 17.500000\n", + "50% 18.600000\n", + "75% 24.350000\n", + "max 27.400000\n", + "dtype: float64" + ] + } + ], + "prompt_number": 142 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "figsize(11.5, 6)\n", + "font_size = 20\n", + "plt.title('Distribucion de la rapidez del viento', fontsize=font_size)\n", + "# plt.ylabel('frecuen',fontsize = font_size)\n", + "plt.xlabel('Nudos',fontsize = font_size)\n", + "xalapaOb.RAPVIENTO2.hist(bins=6);" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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HMfZ13TjmZ5GK2aHs0uybn8Z7HmvfqFRbRz5O6jnMe+yaZ5MKxLtIH+L2kj4AvpfR3xa0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\ngdcAd5BOCwXwLuB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+ "text": [ + "" + ] + } + ], + "prompt_number": 148 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Ejercicio\n", + "\n", + "Repitan las celdas de esta libreta cambiando los parametros de las instrucciones para obtener graficas y distribuciones de las otras variables.\n", + "\n", + "No olviden guardar los cambios que hagan en un archivo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A continuacion veremos como podemos usar [IPython Notebook para publicar resultados de nuestro trabajo.](Lib10_Esenciales_IPython_Notebook.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib10_Esenciales_IPython_Notebook.ipynb b/Dia1/notebooks/Tutoriales/Lib10_Esenciales_IPython_Notebook.ipynb new file mode 100644 index 0000000..5b7b4c7 --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib10_Esenciales_IPython_Notebook.ipynb @@ -0,0 +1,428 @@ +{ + "metadata": { + "celltoolbar": "Slideshow", + "name": "", + "signature": "sha256:88e4d1a2a96fa1cae5399fa0641ffcfaedb13ab90df0c808380e1c8af118f7c0" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": true, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 7 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# IPython Notebook\n", + "\n", + "![IPython Notebook](http://ipython.org/_static/ipy_0.13.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Publicando el trabajo\n", + "IPython contiene una herramienta llamada `nbconvert` que permite convertir el archivo `.ipynb` de una libreta en un documento estatico en diversos formatos.\n", + "\n", + "Actualmente `nbconvert` es una herramienta en la linea de comando y se ejecuta como un script de Ipython. Existen extensiones experimentales para exportar directamente desde la libreta web, pero no son suficientemente estables para ser parte de la distribucion actual.\n", + "\n", + "La sintaxis para el uso de `nbconvert` es: [MAS INFORMACION](http://ipython.org/ipython-doc/2/notebook/nbconvert.html)\n", + "\n", + " ipython nbconvert --to FORMATO libreta.ipynb\n", + "\n", + "Esta libreta sera convertida a los siguiente formatos publicables usando esta herramienta:\n", + "\n", + "* HTML\n", + "\n", + "* PDF \n", + "\n", + "* $\\LaTeX$\n", + "\n", + "* Presentacion (usando `Reveal.js`) \n", + "\n", + "\n", + "[VER MAS](http://nbviewer.ipython.org/github/Carreau/posts/blob/master/06-NBconvert-Doc-Draft.ipynb)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Exportando desde la libreta\n", + "Usando las capacidades de ejecutar comandos del SO, podemos exportar al documento desde la libreta. Por ejemplo para crear `.html`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "rm output/*\n", + "ipython nbconvert --to html lania2014_ipython.ipynb\n", + "mv *.html output/" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "This application is used to convert notebook files (*.ipynb) to various other\n", + "formats.\n", + "\n", + "WARNING: THE COMMANDLINE INTERFACE MAY CHANGE IN FUTURE RELEASES.\n", + "\n", + "Options\n", + "-------\n", + "\n", + "Arguments that take values are actually convenience aliases to full\n", + "Configurables, whose aliases are listed on the help line. For more information\n", + "on full configurables, see '--help-all'.\n", + "\n", + "--debug\n", + " set log level to logging.DEBUG (maximize logging output)\n", + "--init\n", + " Initialize profile with default config files. This is equivalent\n", + " to running `ipython profile create ` prior to startup.\n", + "--quiet\n", + " set log level to logging.CRITICAL (minimize logging output)\n", + "--stdout\n", + " Write notebook output to stdout instead of files.\n", + "--profile= (BaseIPythonApplication.profile)\n", + " Default: u'default'\n", + " The IPython profile to use.\n", + "--reveal-prefix= (RevealHelpPreprocessor.url_prefix)\n", + " Default: 'reveal.js'\n", + " The URL prefix for reveal.js. This can be a a relative URL for a local copy\n", + " of reveal.js, or point to a CDN.\n", + " For speaker notes to work, a local reveal.js prefix must be used.\n", + "--ipython-dir= (BaseIPythonApplication.ipython_dir)\n", + " Default: u''\n", + " The name of the IPython directory. This directory is used for logging\n", + " configuration (through profiles), history storage, etc. The default is\n", + " usually $HOME/.ipython. This options can also be specified through the\n", + " environment variable IPYTHONDIR.\n", + "--writer= (NbConvertApp.writer_class)\n", + " Default: 'FilesWriter'\n", + " Writer class used to write the results of the conversion\n", + "--log-level= (Application.log_level)\n", + " Default: 30\n", + " Choices: (0, 10, 20, 30, 40, 50, 'DEBUG', 'INFO', 'WARN', 'ERROR', 'CRITICAL')\n", + " Set the log level by value or name.\n", + "--to= (NbConvertApp.export_format)\n", + " Default: 'html'\n", + " Choices: ['custom', 'html', 'latex', 'markdown', 'python', 'rst', 'slides']\n", + " The export format to be used.\n", + "--template= (TemplateExporter.template_file)\n", + " Default: u'default'\n", + " Name of the template file to use\n", + "--output= (NbConvertApp.output_base)\n", + " Default: ''\n", + " overwrite base name use for output files. can only be use when converting\n", + " one notebook at a time.\n", + "--post= (NbConvertApp.postprocessor_class)\n", + " Default: u''\n", + " PostProcessor class used to write the results of the conversion\n", + "--config= (BaseIPythonApplication.extra_config_file)\n", + " Default: u''\n", + " Path to an extra config file to load.\n", + " If specified, load this config file in addition to any other IPython config.\n", + "--profile-dir= (ProfileDir.location)\n", + " Default: u''\n", + " Set the profile location directly. This overrides the logic used by the\n", + " `profile` option.\n", + "\n", + "To see all available configurables, use `--help-all`\n", + "\n", + "Examples\n", + "--------\n", + "\n", + " The simplest way to use nbconvert is\n", + " \n", + " > ipython nbconvert mynotebook.ipynb\n", + " \n", + " which will convert mynotebook.ipynb to the default format (probably HTML).\n", + " \n", + " You can specify the export format with `--to`.\n", + " Options include ['custom', 'html', 'latex', 'markdown', 'python', 'rst', 'slides']\n", + " \n", + " > ipython nbconvert --to latex mynotebook.ipynb\n", + " \n", + " Both HTML and LaTeX support multiple output templates. LaTeX includes\n", + " 'base', 'article' and 'report'. HTML includes 'basic' and 'full'. You\n", + " can specify the flavor of the format used.\n", + " \n", + " > ipython nbconvert --to html --template basic mynotebook.ipynb\n", + " \n", + " You can also pipe the output to stdout, rather than a file\n", + " \n", + " > ipython nbconvert mynotebook.ipynb --stdout\n", + " \n", + " A post-processor can be used to compile a PDF\n", + " \n", + " > ipython nbconvert mynotebook.ipynb --to latex --post PDF\n", + " \n", + " You can get (and serve) a Reveal.js-powered slideshow\n", + " \n", + " > ipython nbconvert myslides.ipynb --to slides --post serve\n", + " \n", + " Multiple notebooks can be given at the command line in a couple of \n", + " different ways:\n", + " \n", + " > ipython nbconvert notebook*.ipynb\n", + " > ipython nbconvert notebook1.ipynb notebook2.ipynb\n", + " \n", + " or you can specify the notebooks list in a config file, containing::\n", + " \n", + " c.NbConvertApp.notebooks = [\"my_notebook.ipynb\"]\n", + " \n", + " > ipython nbconvert --config mycfg.py\n", + "\n" + ] + }, + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "rm: cannot remove \u2018output/*\u2019: No such file or directory\n", + "[NbConvertApp] Using existing profile dir: u'/home/htapia/.ipython/profile_default'\n", + "[NbConvertApp] WARNING | pattern u'lania2014_ipython.ipynb' matched no files\n", + "mv: target \u2018output/\u2019 is not a directory\n" + ] + } + ], + "prompt_number": 8 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Algunas libretas interesantes\n", + "Los enlaces que se presentan aqui son ejemplos del extendido uso de las IPython Notebooks en diferentes areas de interes. Los ejemplos cubren temas que van desde el uso basico de las libretas y las herramientas, hasta ejemplos muy avanzados. \n", + "\n", + "Algunos de los ejemplos que veremos en las siguientes sesiones estan basados o inspirados en algunas de estas libretas, de modo que tambien pueden servir como referencia. (**Nota: estas libretas estan en ingles**)" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "website('http://nbviewer.ipython.org/')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "\n", + "" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 10, + "text": [ + "" + ] + } + ], + "prompt_number": 10 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicio\n", + "Convertir cualquiera de las libretas con las que hemos trabajado a un documento en formato `.html` y abrirlo en su navegador." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Con esta libreta terminamos nuestra introduccion a Python a las IPython Notebooks. En las siguientes sesiones usaremos este lenguaje y la tecnologia de las IPython Notebooks para resolver algunos problemas con los cuales aprenderemos mas de esta plataforma de desarrollo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora que se han dado una idea de lo que pueden hacer con IPython Notebooks, es el momento de pensar en su proyecto final. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "El projecto final consiste en resolver un problema, desarrollar una aplicacion, etc. de cualquier tema, usando las herramientas que estamos presentando/desarrollando en este curso. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Por ejemplo pueden crear una base de datos o accederla, y analizarlos usando `pandas`. Pueden resolver un problema de ingenieria usando `numpy` y `matplotlib`, etc." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Aun cuando aun no hemos tocado temas relacionados con dispositivos moviles, pueden darse una idea del tipo de cosas que podrian hacer. En las siguiente sesiones usaremos nuestros dispositivos como herramientas de adquisicion de datos." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Piensen en sus intereses profesionales/personales y como podrian aprovechar las posibilidades que ofrece esta teconologia para resolver/desarrollar algun problema o tema de interes. Pueden buscar ideas revisando las libretas de la galeria anterior o usando su amigo [Google](google.com.mx)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finalmente, asegurense de que han guardado los cambios de todas sus libretas, esto con el fin de monitorear sus avances. Nuestra siguiente sesion consiste en aprender sobre un sistema de organizacion y control de contenido digital que usaremos durante el resto del curso, y con el cual podremos darle seguimiento a los cambios y avances de sus actividades." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pasemos entonces a la sesion de como [organizar y controlar contenido digital](Lib11_GIT01_RevisionControl_1aEtapa.ipynb) usando git." + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib11_GIT01_RevisionControl_1aEtapa.ipynb b/Dia1/notebooks/Tutoriales/Lib11_GIT01_RevisionControl_1aEtapa.ipynb new file mode 100644 index 0000000..ac51dcf --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib11_GIT01_RevisionControl_1aEtapa.ipynb @@ -0,0 +1,731 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:570e959444b1e31de9931ee31cf6cec2af49ddd241d57ef3be11e589779eef48" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Notas para usar _git_ desde las libretas\n", + "\n", + "##1a Etapa: Configuracion, usuario local\n", + "\n", + "*Revision control software* o Software de Control de Rrevisiones (**SCR**) es \u00fatil en el control de cualquier contenido digital. \n", + "Puede usarse para \n", + "\n", + "1. seguir los cambios en el c\u00f3digo fuente\n", + " * permitiendo volver a versiones anteriores\n", + " * trabajar en diferentes \"ramas\" (_branches_) de un software\n", + " * marcar revisiones y dar seguimiento a que version esta siendo usada con que fi.\n", + " \n", + "2. Hace posible la colaboraci\u00f3n en el mismo c\u00f3digo de manera simult\u00e1nea:\n", + " * permite a varios autores hacer cambios\n", + " * comunciar y visualizar los cambios en el c\u00f3digo" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En un SCR, el contenido se guarda en un *repositorio*" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#Primeros pasos: configuracion de _git_\n", + "La configuacion minima que se necesita para usar _git_ es ingresar la informacion de autor (credenciales):" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash \n", + "git config --global user.name \u00b4Horacio Tapia\u00b4\n", + "git config --global user.email htapia@lania.edu.mx" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Tambien es util indicar como se van a editar los archivos de texto:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "# Aqui pongan su editor de preferencia. Si no se configura, git usara\n", + "# el editor del sistema\n", + "git config --global core.editor /usr/bin/nano\n", + "\n", + "# En Windows Notepad debe funcionar\n", + "\n", + "# tambien configuremos los colores\n", + "git config --global color.ui \"auto\"" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Suponiendo que usemos _git_ constantemente, conviene usar la memoria de caches para las credenciales, de manera que no tengamos que escribir los password frecuentemente:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "git config --global credential.helper cache\n", + "# Pondremos el tiempo para 1 hora (en segundos)\n", + "git config --global credential.helper 'cache --timeout=3600'\n", + "\n", + "git config --global push.default simple" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 24 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "La ultima linea en la celda anterior es exclusiva para versiones de Git >2.0 de acuerdo a la siguiente advertencia:\n", + "\n", + "> warning: push.default is unset; its implicit value has changed in\n", + "Git 2.0 from 'matching' to 'simple'. To squelch this message\n", + "and maintain the traditional behavior, use:\n", + "\n", + " > git config --global push.default matching\n", + "\n", + "> To squelch this message and adopt the new behavior now, use:\n", + "\n", + " > git config --global push.default simple\n", + "\n", + "> When push.default is set to 'matching', git will push local branches\n", + "to the remote branches that already exist with the same name.\n", + "\n", + "> Since Git 2.0, Git defaults to the more conservative 'simple'\n", + "behavior, which only pushes the current branch to the corresponding\n", + "remote branch that 'git pull' uses to update the current branch.\n", + "\n", + "> See 'git help config' and search for 'push.default' for further information.\n", + "> (the 'simple' mode was introduced in Git 1.7.11. Use the similar mode\n", + "'current' instead of 'simple' if you sometimes use older versions of Git)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Github contiene multiples paginas con informacion adicional para configurar y usar en [Windows](https://help.github.com/articles/set-up-git#platform-windows) o en [Mac OSX](https://help.github.com/articles/set-up-git#platform-mac)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##1a Etapa: Flujo local, usuario unico\n", + "Escribiendo `!git` muestra una lista completa de los comandos y opciones:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "!git" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "usage: git [--version] [--help] [-C ] [-c name=value]\r\n", + " [--exec-path[=]] [--html-path] [--man-path] [--info-path]\r\n", + " [-p|--paginate|--no-pager] [--no-replace-objects] [--bare]\r\n", + " [--git-dir=] [--work-tree=] [--namespace=]\r\n", + " []\r\n", + "\r\n", + "The most commonly used git commands are:\r\n", + " add Add file contents to the index\r\n", + " bisect Find by binary search the change that introduced a bug\r\n", + " branch List, create, or delete branches\r\n", + " checkout Checkout a branch or paths to the working tree\r\n", + " clone Clone a repository into a new directory\r\n", + " commit Record changes to the repository\r\n", + " diff Show changes between commits, commit and working tree, etc\r\n", + " fetch Download objects and refs from another repository\r\n", + " grep Print lines matching a pattern\r\n", + " init Create an empty Git repository or reinitialize an existing one\r\n", + " log Show commit logs\r\n", + " merge Join two or more development histories together\r\n", + " mv Move or rename a file, a directory, or a symlink\r\n", + " pull Fetch from and integrate with another repository or a local branch\r\n", + " push Update remote refs along with associated objects\r\n", + " rebase Forward-port local commits to the updated upstream head\r\n", + " reset Reset current HEAD to the specified state\r\n", + " rm Remove files from the working tree and from the index\r\n", + " show Show various types of objects\r\n", + " status Show the working tree status\r\n", + " tag Create, list, delete or verify a tag object signed with GPG\r\n", + "\r\n", + "'git help -a' and 'git help -g' lists available subcommands and some\r\n", + "concept guides. See 'git help ' or 'git help '\r\n", + "to read about a specific subcommand or concept.\r\n" + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###`git init`: creando un repositorio vacio (nuevo)\n", + "Vamos a crear un repositorio nuevo sin contenido, usando el comando `git init nombre-repositorio`" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "rm -rf gitdemo\n", + "git init gitdemo" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Initialized empty Git repository in /home/htapia/LocalRepos/lania.research/htapiagroup/imageproc/src/gitdemo/.git/\n" + ] + } + ], + "prompt_number": 5 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Nota** Se supone que estos comandos se ejecuten desde la linea de comando, en donde se ha cambiado a la raiz del directorio del repositorio. Como se esta ejecutando desde la libreta, antecederemos todos los comandos en las celdas de esta libreta por \n", + "\n", + " %%bash\n", + " cd gitdemo\n", + "\n", + "con lo que le decimos a IPython que realice este cambio. En la terminal, estas dos lineas deben escribirse una sola vez al inicio." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash \n", + "cd gitdemo\n", + "ls -al" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "total 12\n", + "drwxrwxr-x 3 htapia htapia 4096 sep 15 10:33 .\n", + "drwxrwxr-x 4 htapia htapia 4096 sep 15 10:33 ..\n", + "drwxrwxr-x 7 htapia htapia 4096 sep 15 10:33 .git\n" + ] + } + ], + "prompt_number": 6 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash \n", + "cd gitdemo\n", + "ls -al .git" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "total 40\n", + "drwxrwxr-x 7 htapia htapia 4096 sep 15 10:33 .\n", + "drwxrwxr-x 3 htapia htapia 4096 sep 15 10:33 ..\n", + "drwxrwxr-x 2 htapia htapia 4096 sep 15 10:33 branches\n", + "-rwxrw-r-- 1 htapia htapia 92 sep 15 10:33 config\n", + "-rw-rw-r-- 1 htapia htapia 73 sep 15 10:33 description\n", + "-rw-rw-r-- 1 htapia htapia 23 sep 15 10:33 HEAD\n", + "drwxrwxr-x 2 htapia htapia 4096 sep 15 10:33 hooks\n", + "drwxrwxr-x 2 htapia htapia 4096 sep 15 10:33 info\n", + "drwxrwxr-x 4 htapia htapia 4096 sep 15 10:33 objects\n", + "drwxrwxr-x 4 htapia htapia 4096 sep 15 10:33 refs\n" + ] + } + ], + "prompt_number": 7 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "####Nuestro primer archivo\n", + "Ahora editemos nuestro primero archivo del repositorio:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo\n", + "\n", + "echo \"Mi primer texto\" > archivo1.txt" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 8 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###`git add`: o decirle a git que hay un nuevo archivo" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git add archivo1.txt" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 9 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Que fue lo que paso? Podemos preguntarle a `git` usando `status`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git status" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "On branch master\n", + "\n", + "Initial commit\n", + "\n", + "Changes to be committed:\n", + " (use \"git rm --cached ...\" to unstage)\n", + "\n", + "\tnew file: archivo1.txt\n", + "\n" + ] + } + ], + "prompt_number": 10 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###`git commit`: guardando permanentemente los records de los cabmios a la base de datos de _git_\n", + "Por ahora sera suficiente usar `git commit` usando la opcion `-a` o con nombres de archivos especificos." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git commit -a -m\"Este archivo refleja el primer compromiso\"" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[master (root-commit) 0200580] Este archivo refleja el primer compromiso\n", + " 1 file changed, 1 insertion(+)\n", + " create mode 100644 archivo1.txt\n" + ] + } + ], + "prompt_number": 11 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En el `commit` que acabamos de realizar usamos la opcion `-m` para especificar un mensaje desde la linea de comando. Si no usamos esta opcion, _git_ abre el editor especificado en la configuracion y **requiere** que se ingrese un mensaje. Por default _git_ no acepta guardar record que no tienen un mensaje. Esto corresponde a una buena practica de un repositorio." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###`git log`: revisando lo que hemos hecho" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git log" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "commit 02005802cfe8e8070f8acac01bf2258c23a1470b\n", + "Author: \u00b4Horacio \n", + "Date: Mon Sep 15 10:33:40 2014 -0500\n", + "\n", + " Este archivo refleja el primer compromiso\n" + ] + } + ], + "prompt_number": 12 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###`git diff`: que ha cambiado en el repositorio\n", + "Primero haremos una simulacion de trabajo....En la practica editamos textos o archivos. En este ejemplo lo haremos usando comandos del SO via el _shell_" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "echo \"Esta linea es mi segundo texto...\" >> archivo1.txt" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 13 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Preguntemos a _git_ que ha cambiado:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git diff" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "diff --git a/archivo1.txt b/archivo1.txt\n", + "index 3e3c9c6..6ac799a 100644\n", + "--- a/archivo1.txt\n", + "+++ b/archivo1.txt\n", + "@@ -1 +1,2 @@\n", + " Mi primer texto\n", + "+Esta linea es mi segundo texto...\n" + ] + } + ], + "prompt_number": 14 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## El ciclo de `git`: trabajo, \"commit\", trabajo, \"commit\", ..." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git commit -a -m\"Por fin algo de progreso\"" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[master fa79ff4] Por fin algo de progreso\n", + " 1 file changed, 1 insertion(+)\n" + ] + } + ], + "prompt_number": 15 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###`git log` de nuevo\n", + "Veamos que nos muestra el _log_" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git log" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "commit fa79ff4e04b6f30a5e8404f44c7c7c10cc858405\n", + "Author: \u00b4Horacio \n", + "Date: Mon Sep 15 10:33:41 2014 -0500\n", + "\n", + " Por fin algo de progreso\n", + "\n", + "commit 02005802cfe8e8070f8acac01bf2258c23a1470b\n", + "Author: \u00b4Horacio \n", + "Date: Mon Sep 15 10:33:40 2014 -0500\n", + "\n", + " Este archivo refleja el primer compromiso\n" + ] + } + ], + "prompt_number": 16 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A veces un resumen es de utilidad:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git log --oneline --topo-order --graph" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "* fa79ff4 Por fin algo de progreso\n", + "* 0200580 Este archivo refleja el primer compromiso\n" + ] + } + ], + "prompt_number": 17 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Git tiene soporte para usar _aliases_ dando la opcion de crear combinaciones de comandos. Por ejemplo podemos crear una _alias_ para el resumen anterior: " + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo\n", + "\n", + "git config --global alias.slog \"log --oneline --topo-order --graph\"\n", + "\n", + "git slog " + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "* fa79ff4 Por fin algo de progreso\n", + "* 0200580 Este archivo refleja el primer compromiso\n" + ] + } + ], + "prompt_number": 20 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###`git mv` y `git rm`: moviendo y borrando archivos\n", + "Recuerden que usamos `git add` para agregar archivos a la lista de seguimiento de git. Tambien necesitamos una forma de decirle a `git` si queremos que los nombres cambien o si los queremos eliminar de la lista de seguimiento. Para esto usamos `mv` y `rm`, similar a los comandos del SO UNIX:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git mv archivo1.txt archivo-nuevo.txt\n", + "git status" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "On branch master\n", + "Changes to be committed:\n", + " (use \"git reset HEAD ...\" to unstage)\n", + "\n", + "\trenamed: archivo1.txt -> archivo-nuevo.txt\n", + "\n" + ] + } + ], + "prompt_number": 19 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Estos cambios tambien deben de _comprometerse_ via `commit` para que sean permanentes:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git commit -a -m\"Me gusta mas este nombre\"\n", + "echo \"Aqui esta el resumen:\"\n", + "git slog" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[master 8a184cf] Me gusta mas este nombre\n", + " 1 file changed, 0 insertions(+), 0 deletions(-)\n", + " rename archivo1.txt => archivo-nuevo.txt (100%)\n", + "Aqui esta el resumen:\n", + "* 8a184cf Me gusta mas este nombre\n", + "* fa79ff4 Por fin algo de progreso\n", + "* 0200580 Este archivo refleja el primer compromiso\n" + ] + } + ], + "prompt_number": 22 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`git rm` tiene una funcionalidad similar." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###Ejercicio\n", + "Agregar un nuevo archivo `archivo2.txt` al repositorio. No olvidar usar `commit` despues de `add`. Despues realizar algunos cambios en el archiov y volverlo a incluir en el repositorio (usando `commit`). Finalmente borrarlo del repositorio (no olvidar hacer `commit`!)." + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib12_GIT02_RevisionControl_2aEtapa.ipynb b/Dia1/notebooks/Tutoriales/Lib12_GIT02_RevisionControl_2aEtapa.ipynb new file mode 100644 index 0000000..287397a --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib12_GIT02_RevisionControl_2aEtapa.ipynb @@ -0,0 +1,331 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:8ca9de95f2157a103fc202f7c82c4506d0530dcc624c2525a35d2c96a1428b50" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Notas para usar _git_ desde las libretas\n", + "\n", + "##2a Etapa: Usuario local, _branching_\n", + "\n", + "\n", + "*Revision control software* o Software de Control de Rrevisiones (**SCR**) es \u00fatil en el control de cualquier contenido digital.\n", + "\n", + "Esta libreta presupone que se han ejecutado los comandos de la libreta\n", + "\n", + "* [Lib01_GIT_RevisionControl_1aEtapa](Lib01_GIT_RevisionControl_1aEtapa.ipynb)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Usuario local, _branching_\n", + "Un _branch_, o una rama, del repositorio es simplemente una etiqueta para el `commit` actual en una sucesion de `commit`s:\n", + "\n", + "\n", + "\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Puede haber multiples _branches_ (o ramas) activas en cualquier momento. El directorio de trabajo corresponde a un estado particular que se llama HEAD (encabezado). En el ejemplo que se muestra en la figura, hay dos _branches_: _master_ y _testing_\n", + "\n", + "\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Una vez que se realiza un nuevo `commit` en un _branch_, HEAD y la etiqueta del _branch_ cambian con el nuevo `commit`:\n", + "\n", + "\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "De este modo, la historia de ambas _branches_ (ramas) puede ser diferente:\n", + "\n", + "\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "De acuerdo a esta estructura, `git` puede calcular la informacion que necesita para juntar, _merge_, dos ramas divergentes y continuar en una misma linea de desarrollo:\n", + " \n", + "\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Vamos a ilustrar estas ideas con nuestro ejemplo." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git status\n", + "ls" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "On branch master\n", + "nothing to commit, working directory clean\n", + "archivo-nuevo.txt\n" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora vamos a intentar dos rutas diferentes de desarrollo: una sera en el `master branch`, donde pondremos un archivo, y la otra sera la `experimento branch`, la cual crearemos y le agregaremos un archivo distinto. Finalmente haremos un _merge_ de la rama `experimento` a la rama `master`." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git branch experimento\n", + "git checkout experimento" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "Switched to branch 'experimento'\n" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "echo \"Se me ocurrieron unas ideas locas!\" > experimento.txt\n", + "git add experimento.txt\n", + "git commit -a -m\"Probando cosas nuevas\"\n", + "git slog" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[experimento 963cdd1] Probando cosas nuevas\n", + " 1 file changed, 1 insertion(+)\n", + " create mode 100644 experimento.txt\n", + "* 963cdd1 Probando cosas nuevas\n", + "* 8a184cf Me gusta mas este nombre\n", + "* fa79ff4 Por fin algo de progreso\n", + "* 0200580 Este archivo refleja el primer compromiso\n" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git checkout master\n", + "git slog" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "* 8a184cf Me gusta mas este nombre\n", + "* fa79ff4 Por fin algo de progreso\n", + "* 0200580 Este archivo refleja el primer compromiso\n" + ] + }, + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "Switched to branch 'master'\n" + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "echo \"Ahora el trabajo continua en la rama master...\" >> archivo-nuevo.txt\n", + "git commit -a -m\"La rama mayor sigue creciendo\"\n", + "git slog" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[master 19847cd] La rama mayor sigue creciendo\n", + " 1 file changed, 1 insertion(+)\n", + "* 19847cd La rama mayor sigue creciendo\n", + "* 8a184cf Me gusta mas este nombre\n", + "* fa79ff4 Por fin algo de progreso\n", + "* 0200580 Este archivo refleja el primer compromiso\n" + ] + } + ], + "prompt_number": 5 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "ls" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "archivo-nuevo.txt\n" + ] + } + ], + "prompt_number": 6 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git merge experimento\n", + "git slog" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Merge made by the 'recursive' strategy.\n", + " experimento.txt | 1 +\n", + " 1 file changed, 1 insertion(+)\n", + " create mode 100644 experimento.txt\n", + "* 0436e0e Merge branch 'experimento'\n", + "|\\ \n", + "| * 963cdd1 Probando cosas nuevas\n", + "* | 19847cd La rama mayor sigue creciendo\n", + "|/ \n", + "* 8a184cf Me gusta mas este nombre\n", + "* fa79ff4 Por fin algo de progreso\n", + "* 0200580 Este archivo refleja el primer compromiso\n" + ] + } + ], + "prompt_number": 7 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "ls" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "archivo-nuevo.txt\n", + "experimento.txt\n" + ] + } + ], + "prompt_number": 8 + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib13_GIT03_RevisionControl_3aEtapa.ipynb b/Dia1/notebooks/Tutoriales/Lib13_GIT03_RevisionControl_3aEtapa.ipynb new file mode 100644 index 0000000..185f086 --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib13_GIT03_RevisionControl_3aEtapa.ipynb @@ -0,0 +1,306 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:8e45ba77b6cd8e1cdc6574a440087f21f386455273effe5fd87041d5da5a6602" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Notas para usar _git_ desde las libretas\n", + "\n", + "##3a Etapa: Usuario local, repositorios remotos\n", + "\n", + "\n", + "*Revision control software* o Software de Control de Rrevisiones (**SCR**) es \u00fatil en el control de cualquier contenido digital.\n", + "\n", + "Esta libreta presupone que se han ejecutado y entendido los comandos de las libretas \n", + "\n", + "* [Lib01_GIT_RevisionControl_1aEtapa](Lib01_GIT_RevisionControl_1aEtapa.ipynb),\n", + "* [Lib02_GIT_RevisionControl_2aEtapa](Lib02_GIT_RevisionControl_2aEtapa.ipynb)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Repositorios remotos\n", + "En esta etapa introduciremos el concepto de repositorios remotos: un puntero a otra copia del repositorio que vive en una localidad distinta. Esta puede ser la ruta a un folder en el sistema de archivos o puede ser un servidor en la red.\n", + "\n", + "Para este ejemplo usaremos repositorios remotos organizados en el servicio de la nube [GitHub.com](http://github.com)." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "ls\n", + "echo \"Veamos si tenemos algun repositorio remoto aqui:\"\n", + "git remote -v" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "archivo-nuevo.txt\n", + "experimento.txt\n", + "Veamos si tenemos algun repositorio remoto aqui:\n" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Dado que no hay salida producida por el comando `git remote -v`, no existen repositorio remotos configurados. Ahora haremos uno. Para esto necesitan credenciales de acceso al servicio. Si no las tienen aun, [solicitenlas en este enlace](https://github.com/join) (el servicio es gratis). " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Una vez que han ingresado al servicio, dirijanse a la [pagina para crear un repositorio nuevo](https://github.com/new) y hagan uno que se llame `prueba`. **No** marquen la opcion `Initialize this repository with a README`, ya que tenemos un repositorio existente en el archivo local. Esa opcion es practica si se esta creando el repositorio desde Github y no se tiene ya uno en su computadora local.\n", + "\n", + "Sigan las instrucciones de las paginas siguientes (**Atencion**: el siguiente comando requiere de las credenciales de ingreso al servicio. Si se ejecutan desde la libreta y el tiempo de cache ha pasado, no podran acceder desde aqui)." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git remote add origin https://github.com/htapia/prueba.git\n", + "git push -u origin master" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Branch master set up to track remote branch master from origin.\n" + ] + }, + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "fatal: remote origin already exists.\n", + "Everything up-to-date\n" + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Veamos de nuevo la situacion de repositorios remotos:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git remote -v" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "origin\thttps://github.com/htapia/prueba.git (fetch)\n", + "origin\thttps://github.com/htapia/prueba.git (push)\n" + ] + } + ], + "prompt_number": 5 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "El [repositorio recien creado es publico en github](repositorio recien creado es publico en github).\n", + "\n", + "Veamos como puede ser util esto para resguardar y sincronizar trabajo entre dos computadoras diferentes. Simularemos una segunda computadora trabajando en un directorio distinto..." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "git clone https://github.com/htapia/prueba.git prueba2\n", + "cd prueba2\n", + "pwd\n", + "git remote -v" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "/home/htapia/LocalRepos/lania.research/htapiagroup/imageproc/src/prueba2\n", + "origin\thttps://github.com/htapia/prueba.git (fetch)\n", + "origin\thttps://github.com/htapia/prueba.git (push)\n" + ] + }, + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "Cloning into 'prueba2'...\n" + ] + } + ], + "prompt_number": 6 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora haremos unos cambios en la \"computadora\" y los sincronizaremos en la segunda." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "ls prueba2/" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "archivo-nuevo.txt experimento.txt\r\n" + ] + } + ], + "prompt_number": 7 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd prueba2/\n", + "\n", + "echo \"Otros resultados del experimento en otra maquina\" >> experimento.txt\n", + "git commit -a -m\"Un poco mas trabajo, realizado en la computadora #2\"" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[master 8c425f5] Un poco mas trabajo, realizado en la computadora #2\n", + " 1 file changed, 1 insertion(+)\n" + ] + } + ], + "prompt_number": 11 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora pondremos este avance en el trabajo en los servidores de github, de este modo lo hacemos accesible desde el internet." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd prueba2/\n", + "\n", + "git push" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "To https://github.com/htapia/prueba.git\n", + " 8c1e969..8c425f5 master -> master\n" + ] + } + ], + "prompt_number": 12 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora \"traeremos\" (_fetch_) el trabajo realizado a la maquina 1:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd gitdemo/\n", + "\n", + "git pull" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Updating 0436e0e..8c425f5\n", + "Fast-forward\n", + " experimento.txt | 2 ++\n", + " 1 file changed, 2 insertions(+)\n" + ] + }, + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "From https://github.com/htapia/prueba\n", + " 0436e0e..8c425f5 master -> origin/master\n" + ] + } + ], + "prompt_number": 13 + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib14_GIT04_RevisionControl_4aEtapa.ipynb b/Dia1/notebooks/Tutoriales/Lib14_GIT04_RevisionControl_4aEtapa.ipynb new file mode 100644 index 0000000..dedc123 --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib14_GIT04_RevisionControl_4aEtapa.ipynb @@ -0,0 +1,170 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:807af17a975e2486732ec95c7b1e1bb1d08dbf491139ede5a099af06a21c64b2" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Notas para usar _git_ desde las libretas\n", + "\n", + "##4a Etapa: Colaboracion\n", + "\n", + "*Revision control software* o Software de Control de Rrevisiones (**SCR**) es \u00fatil en el control de cualquier contenido digital.\n", + "\n", + "Esta libreta presupone que se han ejecutado y entendido los comandos trabajados en las sessiones anteriores:\n", + "* [Lib01_GIT_RevisionControl_1aEtapa](Lib01_GIT_RevisionControl_1aEtapa.ipynb), \n", + "* [Lib02_GIT_RevisionControl_2aEtapa](Lib02_GIT_RevisionControl_2aEtapa.ipynb),\n", + "* [Lib03_GIT_RevisionControl_3aEtapa](Lib03_GIT_RevisionControl_3aEtapa.ipynb)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Esta parte esta disenada para los estudiantes del grupo de investigacion. Mostraremos el flujo principal de trabajo para colaborar en un proyecto en el que *los participantes tienen los mismo privilegios en el mismo repositorio*.\n", + "\n", + "Dentro del espacio `htapiagroup` creare un repositorio por cada proyecto: \n", + " * imageproc\n", + " * gputest\n", + " * clumps\n", + "De acuerdo a lo que aprendieron al estudiar las libretas, estas corresponden a los `master branch`. Su tarea es seguir estas notas para crear sus propias ramas en los repositorios donde desarrollaran su trabajo de tesis. \n", + "\n", + "Cada uno de ustedes accedera al repositorio que le corresponde de acuerdo a su tema de tesis. De este modo habra dos personas compartiendo repositorio, ustedes (U) y yo (Y). Yo creare el repositorio con el contenido de estas libretas, ustedes lo clonaran (Ver libreta [GIT_RevisionControl_3aEtapa](Lib03_GIT_RevisionControl_3aEtapa.ipynb) y haran cambios locales (en su computadora) y los \"empujaran\" al repositorio en linea, me notificara y yo \"jalare\" los cambios a mi repositorio propio.\n", + "\n", + "Despues aprenderemos juntos a actualizar el repositorio con cambios a los documentos. \n", + "\n", + "A continuacion las instrucciones que use para crear el repositorio imageproc en el grupo y mi propia rama dentro del mismo. Recuerden que si lo hacen desde las libretas deben cuidar el cambio al directorio apropiado. En mi caso (tambien pueden ver la ejecucion de estos comandos en [una libreta](Lib05_GIT_RevisionControl_Aplicacion.ipynb):" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "\n", + "# 1a ETAPA: LOCAL\n", + "# crea el repositorio en directorio actual\n", + "git init imageproc\n", + "\n", + "# cambia al directorio del repositorio local\n", + "cd imageproc\n", + "# crea subdirectorios estandares\n", + "mkdir libretas # contiene todas las libretas de IPython\n", + "mkdir recursos # recursos adicionales (p.e. datos, documentos, imagenes)\n", + "mkdir styles # estilos .css para presentacion\n", + "echo \"Repositorio creado por HTM en 09/15/2014\"> Readme.md\n", + "\n", + "# incluye el archivo Readme.md en la lista de seguimiento\n", + "git add Readme.md\n", + "# hace los cambios permanentes (local)\n", + "git commit -a -m\"Primera creacion del repositorio imageproc\"\n", + "git slog\n", + "\n", + "# copia contenido a folder local\n", + "cp GIT_* ./libretas/\n", + "ls libretas/\n", + "\n", + "# despliguea diferencias en repositorio local\n", + "git diff\n", + "git slog\n", + "\n", + "# incluye el nuevo contenido a la lista de seguimiento\n", + "git add *\n", + "\n", + "# hace los cambios permanentes (local)\n", + "git commit -a -m\"Agregando libretas de curso Git\"\n", + "\n", + "# el resultado del siguiente comando debe indicar que todo esta en orden\n", + "# con el mensaje \"..working directory clean\"\n", + "git status\n", + "\n", + "# 2a ETAPA: REMOTO\n", + "# sincronizando repositorio local con repositorio remoto \n", + "# (repositorio remoto previamente creado en github.com)\n", + "# NOTA: ESTE COMANDO SOLICITA CREDENCIALES DE ACCESO AL SERVICIO\n", + "# SE RECOMIENDA NO EJECUTARSE EN LA LIBRETA\n", + "git remote add origin https://github.com/htapiagroup/imageproc.git\n", + "git push -u origin master\n", + "\n", + "# cambiar localmente al repositorio branch\n", + "# modificar el nombre_branch_repositorio\n", + "git branch nombre_branch_repositorio\n", + "git checkout nombre_branch_repositorio\n", + "\n", + "# incluye el contenido del branch a la lista de seguimiento (del branch)\n", + "git add .\n", + "git commit -a -m\"Primer commit a mi branch en imageproc\"\n", + "git slog\n", + "\n", + "# sincroniza con el repositorio remoto\n", + "# NOTA: modificar nombre_branch_repositorio \n", + "# en las dos lineas siguiente de acuerdo al nombre del branch\n", + "git remote add nombre_branch_repositorio https://github.com/htapiagroup/imageproc.git\n", + "git push -u origin nombre_branch_repositorio\n", + "\n", + "# una ultima checada\n", + "git remote -v\n", + "git status" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 2, + "text": [ + "u'/home/htapia/LocalRepos/lania.research/htapiagroup/imageproc/src'" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Referencias\n", + "###Material introductorio\n", + "Existen muchos buenos tutoriales de Git. Aqui hay una lista corta (en ingles) de algunos:\n", + "\n", + "1. Lo mas basico: [git - the simple guide](http://rogerdudler.github.com/git-guide). Muy rapido de leer\n", + "\n", + "1. Lo mas conciso: [Git Reference](http://gitref.org): compacto pero con muchas de las ideas fundamentales.\n", + "\n", + "1. Otro recurso completo: [Understanding Git\n", + "Conceptually](http://www.sbf5.com/~cduan/technical/git).\n", + "\n", + "1. Para mas detalles:[Pro\n", + " Git](http://progit.org/book) libro en linea, o partes de [Git community book](http://book.git-scm.com).\n", + "\n", + "Para un comienzo rapido, este [tutorial visual de git](http://www.ralfebert.de/blog/tools/visual_git_tutorial_1) puede ser suficiente.\n", + "\n", + "Para usuarios de windows, [una guia ilustrada de Git en Windows](http://nathanj.github.com/gitguide/tour.html) puede ser util.\n", + "\n", + "Hojas de referencia: Dos diferentes\n", + " [hojas](http://zrusin.blogspot.com/2007/09/git-cheat-sheet.html) de \n", + " [referenci](http://jan-krueger.net/development/git-cheat-sheet-extended-edition)\n", + " en formato PDF que pueden tenerse a la mano como referencia." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/notebooks/Tutoriales/Lib15_GIT05_RevisionControl_Aplicacion.ipynb b/Dia1/notebooks/Tutoriales/Lib15_GIT05_RevisionControl_Aplicacion.ipynb new file mode 100644 index 0000000..ee81c33 --- /dev/null +++ b/Dia1/notebooks/Tutoriales/Lib15_GIT05_RevisionControl_Aplicacion.ipynb @@ -0,0 +1,514 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:b9caf5ca121252c4f2c362c62f1808d07743b3ee4473d3c6bd05248af048cf94" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Localmente\n", + "[Libreta de referencia](Lib01_GIT_RevisionControl_1aEtapa.ipynb)" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "pwd" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 1, + "text": [ + "u'/home/htapia/LocalRepos/lania.research/htapiagroup'" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "\n", + "git init imageproc" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Initialized empty Git repository in /home/htapia/LocalRepos/lania.research/htapiagroup/imageproc/.git/\n" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "ls imageproc_orig/src/" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "\u001b[0m\u001b[01;34mgitdemo\u001b[0m/ GIT_RevisionControl_3aEtapa.ipynb No mas pretextos.ipynb\r\n", + "GIT_RevisionControl_1aEtapa.ipynb GIT_RevisionControl_4aEtapa.ipynb \u001b[01;34mprueba2\u001b[0m/\r\n", + "GIT_RevisionControl_2aEtapa.ipynb imagenContornos_0.py vision.md\r\n" + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash \n", + "cd imageproc/\n", + "\n", + "mkdir libretas\n", + "mkdir recursos\n", + "mkdir styles\n", + "\n", + "echo \"Repositorio creado por HTM en 09/15/2014\"> Readme.md" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "mkdir: cannot create directory \u2018libretas\u2019: File exists\n", + "mkdir: cannot create directory \u2018recursos\u2019: File exists\n", + "mkdir: cannot create directory \u2018styles\u2019: File exists\n" + ] + } + ], + "prompt_number": 6 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd imageproc/\n", + "\n", + "git add Readme.md\n", + "git commit -a -m\"Primera creacion del repositorio imageproc\"\n", + "git slog" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[master (root-commit) 82efbc6] Primera creacion del repositorio imageproc\n", + " 1 file changed, 1 insertion(+)\n", + " create mode 100644 Readme.md\n", + "* 82efbc6 Primera creacion del repositorio imageproc\n" + ] + } + ], + "prompt_number": 8 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En estas lineas voy a copiar las libretas que acabo de terminar de preparar, sobre como usar git. Noten el resultado del comando `git diff`" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd imageproc/\n", + "cp ../imageproc_orig/src/GIT_* ./libretas/\n", + "ls libretas/\n", + "\n", + "git diff\n", + "git slog" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "GIT_RevisionControl_1aEtapa.ipynb\n", + "GIT_RevisionControl_2aEtapa.ipynb\n", + "GIT_RevisionControl_3aEtapa.ipynb\n", + "GIT_RevisionControl_4aEtapa.ipynb\n", + "* 82efbc6 Primera creacion del repositorio imageproc\n" + ] + } + ], + "prompt_number": 18 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora voy a hacer los cambios permanentes en la lista de Git. Noten que aun son locales." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd imageproc/\n", + "\n", + "git add *\n", + "git commit -a -m\"Agregando libretas de curso Git\"" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[master 1e6de4c] Agregando libretas de curso Git\n", + " 4 files changed, 1489 insertions(+)\n", + " create mode 100644 libretas/GIT_RevisionControl_1aEtapa.ipynb\n", + " create mode 100644 libretas/GIT_RevisionControl_2aEtapa.ipynb\n", + " create mode 100644 libretas/GIT_RevisionControl_3aEtapa.ipynb\n", + " create mode 100644 libretas/GIT_RevisionControl_4aEtapa.ipynb\n" + ] + } + ], + "prompt_number": 19 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Solo una checada rapida para estar seguro:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd imageproc/\n", + "\n", + "git status" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "On branch master\n", + "nothing to commit, working directory clean\n" + ] + } + ], + "prompt_number": 20 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Sincronizando con el repositorio en la nube\n", + "[Libreta de referencia](Lib03_GIT_RevisionControl_3aEtapa.ipynb)\n", + "\n", + "Ahora que tengo el repositorio como lo quiero en mi computadora local lo voy a sincronizar en el espacio del grupo en la nube.\n", + "\n", + "Primero veamos si tenemos algun repositorio remoto configurado:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd imageproc/\n", + "\n", + "git remote -v" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 21 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Antes de ejecutar esta celda, ingreso a [Github](github.com) para crear el repositorio." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Atencion** la celda siguiente requiere ingresar credenciales, mejor ejecutarla desde la linea de comando!" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd imageproc/\n", + "\n", + "git remote add origin https://github.com/htapiagroup/imageproc.git\n", + "git push -u origin master" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Branch master set up to track remote branch master from origin.\n" + ] + }, + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "fatal: remote origin already exists.\n", + "Everything up-to-date\n" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd imageproc/\n", + "\n", + "git remote -v\n", + "git slog" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "origin\thttps://github.com/htapiagroup/imageproc (fetch)\n", + "origin\thttps://github.com/htapiagroup/imageproc (push)\n", + "* 1e6de4c Agregando libretas de curso Git\n", + "* 82efbc6 Primera creacion del repositorio imageproc\n" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Creando mi branch del repositorio\n", + "[Libreta de referencia](Lib02_GIT_RevisionControl_2aEtapa.ipynb)\n", + "\n", + "Ahora el repositorio [`imageproc`](https://github.com/htapiagroup/imageproc) existe y es el `master`. Necesito crear un `branch` en el cual voy a trabajar. Para esto voy a crear un `branch`. Noten que el `branch` es **local**" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd imageproc/\n", + "\n", + "git branch imageproc_htm\n", + "git checkout imageproc_htm" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "Switched to branch 'imageproc_htm'\n" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd imageproc/\n", + "\n", + "git status" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "On branch imageproc_htm\n", + "Changes not staged for commit:\n", + " (use \"git add ...\" to update what will be committed)\n", + " (use \"git checkout -- ...\" to discard changes in working directory)\n", + "\n", + "\tmodified: libretas/GIT_RevisionControl_4aEtapa.ipynb\n", + "\n", + "Untracked files:\n", + " (use \"git add ...\" to include in what will be committed)\n", + "\n", + "\tlibretas/.ipynb_checkpoints/\n", + "\n", + "no changes added to commit (use \"git add\" and/or \"git commit -a\")\n" + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd imageproc/\n", + "\n", + "git add .\n", + "git commit -a -m\"Primer commit a mi branch en imageproc\"\n", + "git slog" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[imageproc_htm efadb05] Primer commit a mi branch en imageproc\n", + " 2 files changed, 175 insertions(+), 2 deletions(-)\n", + " create mode 100644 libretas/.ipynb_checkpoints/GIT_RevisionControl_4aEtapa-checkpoint.ipynb\n", + "* efadb05 Primer commit a mi branch en imageproc\n", + "* 1e6de4c Agregando libretas de curso Git\n", + "* 82efbc6 Primera creacion del repositorio imageproc\n" + ] + } + ], + "prompt_number": 5 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd imageproc/\n", + "\n", + "git remote add imageproc_htm https://github.com/htapiagroup/imageproc.git\n", + "git push -u origin imageproc_htm" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Branch imageproc_htm set up to track remote branch imageproc_htm from origin.\n" + ] + }, + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "To https://github.com/htapiagroup/imageproc\n", + " * [new branch] imageproc_htm -> imageproc_htm\n" + ] + } + ], + "prompt_number": 6 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%bash\n", + "cd imageproc/\n", + "\n", + "git remote -v\n", + "git status" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "imageproc_htm\thttps://github.com/htapiagroup/imageproc.git (fetch)\n", + "imageproc_htm\thttps://github.com/htapiagroup/imageproc.git (push)\n", + "origin\thttps://github.com/htapiagroup/imageproc (fetch)\n", + "origin\thttps://github.com/htapiagroup/imageproc (push)\n", + "On branch imageproc_htm\n", + "Your branch is up-to-date with 'origin/imageproc_htm'.\n", + "Changes not staged for commit:\n", + " (use \"git add ...\" to update what will be committed)\n", + " (use \"git checkout -- ...\" to discard changes in working directory)\n", + "\n", + "\tmodified: libretas/GIT_RevisionControl_4aEtapa.ipynb\n", + "\n", + "Untracked files:\n", + " (use \"git add ...\" to include in what will be committed)\n", + "\n", + "\tlibretas/.ipynb_checkpoints/GIT_RevisionControl_3aEtapa-checkpoint.ipynb\n", + "\n", + "no changes added to commit (use \"git add\" and/or \"git commit -a\")\n" + ] + } + ], + "prompt_number": 8 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora en el repositorio `imageproc` hay un `branch` que tiene el nombre de mi repositorio. Este es el repositorio en el que vamos a trabajar y a sincronizarnos entre este mi y su propio `branch`. \n", + "\n", + "De este modo, les queda de tarea crear su `branch` en el repositorio correspondiente y **sincronizen los avances de la semana pasada** en ellos." + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia1/talktools.py b/Dia1/talktools.py new file mode 100644 index 0000000..5502160 --- /dev/null +++ b/Dia1/talktools.py @@ -0,0 +1,91 @@ +""" + Simple tools to style an IPython Notebook. + Author: htapia@lania.edu.mx (modified from Fernando Perez ) +""" + +#----------------------------------------------------------------------------- +# Imports +#----------------------------------------------------------------------------- + +# stdlib +import os + +# Third party +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +# %matplotlib inline + +# From IPython +from IPython.display import (HTML, Image, display, YouTubeVideo, Math, + Audio, clear_output, FileLinks) + +from IPython.core.pylabtools import figsize + +#----------------------------------------------------------------------------- +# Functions and classes +#----------------------------------------------------------------------------- + +def prefix(url): + prefix = '' if url.startswith('http') else 'http://' + return prefix + url + + +def simple_link(url, name=None): + name = url if name is None else name + url = prefix(url) + return '%s' % (url, name) + + +def html_link(url, name=None): + return HTML(simple_link(url, name)) + + +# Utility functions +def website(url, name='auto', width=800, height=450): + html = [] + name = url if name == 'auto' else name + if name: + html.extend(['
', + simple_link(url, name), + '
'] ) + + html.append('' % + (prefix(url), width, height)) + return HTML('\n'.join(html)) + + +def nbviewer(url, name=None, width=800, height=450): + return website('nbviewer.ipython.org/url/' + url, name, width, height) + + +def Video(fname): + from IPython.display import HTML, display + video = open(fname, "rb").read() + video_encoded = video.encode("base64") + video_tag = ''''''.format(video_encoded) + return HTML(data=video_tag) + + +def plot_audio(fname): + from scipy.io import wavfile + rate, x = wavfile.read(fname) + fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 4)) + ax1.plot(x); ax1.set_title('Raw audio signal') + ax2.specgram(x); ax2.set_title('Spectrogram'); + plt.show() + +#loads a customer marplotlib configuration file +def CustomPlot(): + import json + import matplotlib + from IPython.core.pylabtools import figsize + s = json.load( open("../../styles/matplotlibrc.json") ) + matplotlib.rcParams.update(s) + figsize(18, 6) +#----------------------------------------------------------------------------- +# Load and publish CSS +#----------------------------------------------------------------------------- +if __name__ == '__main__': + display(HTML(open("../../styles/matstyle.css", "r").read())) diff --git a/Dia2/Dia 2.md b/Dia2/Dia 2.md new file mode 100644 index 0000000..d743bf8 --- /dev/null +++ b/Dia2/Dia 2.md @@ -0,0 +1,13 @@ +# Dia 2 +El dia de hoy partiremos de tener una instalacion completa del ambiente que estaremos usando. El largo esfuerzo realizado la clase anterior sera recompensado con el avance que tendremos hoy y las siguiente clases accediendo a nuestros dispositivos. + +Por favor asegurense que para el dia de la sesion cuenten con + +* Un dispositivo movil con SL4A y Py4A instalado y funcionando; +* El ambiente de desarrollo de IPython Notebook instalado y funcionando en su computadora local + +## Libreta 1: Repaso + +## Libreta 2: Pidiendo el estado del tiempo +Nuestra primera aplicacion consistira en solicitar a un servicio de meteorologia la temperatura ambiente de alguna localidad. + diff --git a/Dia2/Index.ipynb b/Dia2/Index.ipynb new file mode 100644 index 0000000..ac6b369 --- /dev/null +++ b/Dia2/Index.ipynb @@ -0,0 +1,267 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%run ../talktools.py" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Dia 2\n", + "Hoy partiremos de un ambiente preparado el dia anterior. Favor de verificar que cuenten con\n", + "\n", + "* Un dispositivo movil con SL4A y Py4A instalado y funcionando;\n", + "* El ambiente de desarrollo de IPython Notebook instalado y funcionando en su computadora local\n", + "* Una conexion USB establecida con `adb forward tcp:9999 tcp:#####` entre su computadora local y su dispositivo Android\n", + "\n", + "## Sesion 1\n", + "\n", + "Nuestra primera aplicacion consistira en solicitar a un servicio de meteorologia la temperatura ambiente de alguna localidad. Primero lo haremos a traves de la computadora, en el ambiente de IPython y despues lo haremos a traves del dispositivo, primero dandole las instrucciones desde la computadora, despues ejecutandolo directamente en el dispositivo.\n", + "\n", + "## Sesion 2\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "notebooks/
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\n", + "  Lib06_Ejercicios02.ipynb
\n", + "  Lib11_ArchivosCSV.ipynb
\n", + "  Lib03_Esenciales_DataStructures.ipynb
\n", + "  Lib10_GraficandoDatos.ipynb
\n", + "  Lib07_Ejercicios03.ipynb
\n", + "  Lib08_Ejercicios04.ipynb
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"file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia2/files/airports.dat b/Dia2/files/airports.dat new file mode 100644 index 0000000..ae2da67 --- /dev/null +++ b/Dia2/files/airports.dat @@ -0,0 +1,8107 @@ +1,"Goroka","Goroka","Papua New Guinea","GKA","AYGA",-6.081689,145.391881,5282,10,"U","Pacific/Port_Moresby" +2,"Madang","Madang","Papua New Guinea","MAG","AYMD",-5.207083,145.7887,20,10,"U","Pacific/Port_Moresby" +3,"Mount Hagen","Mount Hagen","Papua New Guinea","HGU","AYMH",-5.826789,144.295861,5388,10,"U","Pacific/Port_Moresby" +4,"Nadzab","Nadzab","Papua New Guinea","LAE","AYNZ",-6.569828,146.726242,239,10,"U","Pacific/Port_Moresby" +5,"Port Moresby Jacksons Intl","Port Moresby","Papua New Guinea","POM","AYPY",-9.443383,147.22005,146,10,"U","Pacific/Port_Moresby" +6,"Wewak Intl","Wewak","Papua New Guinea","WWK","AYWK",-3.583828,143.669186,19,10,"U","Pacific/Port_Moresby" +7,"Narsarsuaq","Narssarssuaq","Greenland","UAK","BGBW",61.160517,-45.425978,112,-3,"E","America/Godthab" +8,"Nuuk","Godthaab","Greenland","GOH","BGGH",64.190922,-51.678064,283,-3,"E","America/Godthab" +9,"Sondre Stromfjord","Sondrestrom","Greenland","SFJ","BGSF",67.016969,-50.689325,165,-3,"E","America/Godthab" +10,"Thule Air Base","Thule","Greenland","THU","BGTL",76.531203,-68.703161,251,-4,"E","America/Thule" +11,"Akureyri","Akureyri","Iceland","AEY","BIAR",65.659994,-18.072703,6,0,"N","Atlantic/Reykjavik" +12,"Egilsstadir","Egilsstadir","Iceland","EGS","BIEG",65.283333,-14.401389,76,0,"N","Atlantic/Reykjavik" +13,"Hornafjordur","Hofn","Iceland","HFN","BIHN",64.295556,-15.227222,24,0,"N","Atlantic/Reykjavik" +14,"Husavik","Husavik","Iceland","HZK","BIHU",65.952328,-17.425978,48,0,"N","Atlantic/Reykjavik" +15,"Isafjordur","Isafjordur","Iceland","IFJ","BIIS",66.058056,-23.135278,8,0,"N","Atlantic/Reykjavik" +16,"Keflavik International Airport","Keflavik","Iceland","KEF","BIKF",63.985,-22.605556,171,0,"N","Atlantic/Reykjavik" +17,"Patreksfjordur","Patreksfjordur","Iceland","PFJ","BIPA",65.555833,-23.965,11,0,"N","Atlantic/Reykjavik" +18,"Reykjavik","Reykjavik","Iceland","RKV","BIRK",64.13,-21.940556,48,0,"N","Atlantic/Reykjavik" +19,"Siglufjordur","Siglufjordur","Iceland","SIJ","BISI",66.133333,-18.916667,10,0,"N","Atlantic/Reykjavik" +20,"Vestmannaeyjar","Vestmannaeyjar","Iceland","VEY","BIVM",63.424303,-20.278875,326,0,"N","Atlantic/Reykjavik" +21,"Sault Ste Marie","Sault Sainte Marie","Canada","YAM","CYAM",46.485001,-84.509445,630,-5,"A","America/Toronto" +22,"Winnipeg St Andrews","Winnipeg","Canada","YAV","CYAV",50.056389,-97.0325,760,-6,"A","America/Winnipeg" +23,"Shearwater","Halifax","Canada","YAW","CYAW",44.639721,-63.499444,167,-4,"A","America/Halifax" +24,"St Anthony","St. Anthony","Canada","YAY","CYAY",51.391944,-56.083056,108,-3.5,"A","America/St_Johns" +25,"Tofino","Tofino","Canada","YAZ","CYAZ",49.082222,-125.7725,80,-8,"A","America/Vancouver" +26,"Kugaaruk","Pelly Bay","Canada","YBB","CYBB",68.534444,-89.808056,56,-7,"A","America/Edmonton" +27,"Baie Comeau","Baie Comeau","Canada","YBC","CYBC",49.1325,-68.204444,71,-5,"A","America/Toronto" +28,"Bagotville","Bagotville","Canada","YBG","CYBG",48.330555,-70.996391,522,-5,"A","America/Toronto" +29,"Baker Lake","Baker Lake","Canada","YBK","CYBK",64.298889,-96.077778,59,-6,"A","America/Winnipeg" +30,"Campbell River","Campbell River","Canada","YBL","CYBL",49.950832,-125.270833,346,-8,"A","America/Vancouver" +31,"Brandon Muni","Brandon","Canada","YBR","CYBR",49.91,-99.951944,1343,-6,"A","America/Winnipeg" +32,"Cambridge Bay","Cambridge Bay","Canada","YCB","CYCB",69.108055,-105.138333,90,-7,"A","America/Edmonton" +33,"Nanaimo","Nanaimo","Canada","YCD","CYCD",49.052333,-123.870167,93,-8,"A","America/Vancouver" +34,"Castlegar","Castlegar","Canada","YCG","CYCG",49.296389,-117.6325,1624,-8,"A","America/Vancouver" +35,"Miramichi","Chatham","Canada","YCH","CYCH",47.007778,-65.449167,108,-4,"A","America/Halifax" +36,"Charlo","Charlo","Canada","YCL","CYCL",47.990833,-66.330278,132,-4,"A","America/Halifax" +37,"Kugluktuk","Coppermine","Canada","YCO","CYCO",67.816667,-115.143889,74,-7,"A","America/Edmonton" +38,"Coronation","Coronation","Canada","YCT","CYCT",52.075001,-111.445278,2595,-7,"A","America/Edmonton" +39,"Chilliwack","Chilliwack","Canada","YCW","CYCW",49.152779,-121.93889,32,-8,"A","America/Vancouver" +40,"Clyde River","Clyde River","Canada","YCY","CYCY",70.486111,-68.516667,87,-5,"A","America/Toronto" +41,"Fairmont Hot Springs","Coral Harbour","Canada","YZS","CYCZ",64.193333,-83.359444,2661,-5,"A","America/Coral_Harbour" +42,"Dawson City","Dawson","Canada","YDA","CYDA",64.043056,-139.127778,1215,-8,"A","America/Vancouver" +43,"Burwash","Burwash","Canada","YDB","CYDB",61.371111,-139.040556,2647,-8,"A","America/Vancouver" +44,"Princeton","Princeton","Canada","YDC","CYDC",49.468056,-120.511389,2298,-8,"A","America/Vancouver" +45,"Deer Lake","Deer Lake","Canada","YDF","CYDF",49.210833,-57.391388,72,-3.5,"A","America/St_Johns" +46,"Dease Lake","Dease Lake","Canada","YDL","CYDL",58.422222,-130.032222,2600,-8,"A","America/Vancouver" +47,"Dauphin Barker","Dauphin","Canada","YDN","CYDN",51.100834,-100.0525,999,-6,"A","America/Winnipeg" +48,"Dawson Creek","Dawson Creek","Canada","YDQ","CYDQ",55.742333,-120.183,2148,-7,"A","America/Dawson_Creek" +49,"Edmonton Intl","Edmonton","Canada","YEG","CYEG",53.309723,-113.579722,2373,-7,"A","America/Edmonton" +50,"Arviat","Eskimo Point","Canada","YEK","CYEK",61.094166,-94.070833,32,-6,"A","America/Winnipeg" +51,"Estevan","Estevan","Canada","YEN","CYEN",49.210278,-102.965833,1905,-6,"N","America/Regina" +52,"Edson","Edson","Canada","YET","CYET",53.578888,-116.465,3041,-7,"A","America/Edmonton" +53,"Eureka","Eureka","Canada","YEU","CYEU",79.994722,-85.814167,256,-6,"A","America/Winnipeg" +54,"Inuvik Mike Zubko","Inuvik","Canada","YEV","CYEV",68.304167,-133.482778,224,-7,"A","America/Edmonton" +55,"Iqaluit","Iqaluit","Canada","YFB","CYFB",63.75639,-68.555832,110,-5,"A","America/Toronto" +56,"Fredericton","Fredericton","Canada","YFC","CYFC",45.868889,-66.537222,68,-4,"A","America/Halifax" +57,"Forestville","Forestville","Canada","","CYFE",48.746111,-69.097222,293,-5,"A","America/Toronto" +58,"Flin Flon","Flin Flon","Canada","YFO","CYFO",54.678055,-101.681667,997,-6,"A","America/Winnipeg" +59,"Fort Resolution","Fort Resolution","Canada","YFR","CYFR",61.180832,-113.689722,526,-7,"A","America/Edmonton" +60,"Fort Simpson","Fort Simpson","Canada","YFS","CYFS",61.760153,-121.236525,555,-7,"A","America/Edmonton" +61,"Kingston","Kingston","Canada","YGK","CYGK",44.225277,-76.596944,305,-5,"A","America/Toronto" +62,"La Grande Riviere","La Grande Riviere","Canada","YGL","CYGL",53.625278,-77.704167,639,-5,"A","America/Toronto" +63,"Gaspe","Gaspe","Canada","YGP","CYGP",48.775278,-64.478611,108,-5,"A","America/Toronto" +64,"Geraldton Greenstone Regional","Geraldton","Canada","YGQ","CYGQ",49.778332,-86.939445,1144,-5,"A","America/Toronto" +65,"Iles De La Madeleine","Iles De La Madeleine","Canada","YGR","CYGR",47.424721,-61.778056,35,-5,"A","America/Toronto" +66,"Hudson Bay","Hudson Bay","Canada","YHB","CYHB",52.816666,-102.31139,1175,-6,"N","America/Regina" +67,"Dryden Rgnl","Dryden","Canada","YHD","CYHD",49.831667,-92.744167,1354,-6,"A","America/Winnipeg" +68,"Ulukhaktok Holman","Holman Island","Canada","YHI","CYHI",70.762778,-117.806111,117,-7,"A","America/Edmonton" +69,"Gjoa Haven","Gjoa Haven","Canada","YHK","CYHK",68.635556,-95.849722,152,-7,"A","America/Edmonton" +70,"Hamilton","Hamilton","Canada","YHM","CYHM",43.173611,-79.935,780,-5,"A","America/Toronto" +71,"St Hubert","Montreal","Canada","YHU","CYHU",45.5175,-73.416944,90,-5,"A","America/Toronto" +72,"Hay River","Hay River","Canada","YHY","CYHY",60.839722,-115.782778,543,-7,"A","America/Edmonton" +73,"Halifax Intl","Halifax","Canada","YHZ","CYHZ",44.880833,-63.50861,477,-4,"A","America/Halifax" +74,"Atikokan Muni","Atikokan","Canada","YIB","CYIB",48.773888,-91.638611,1408,-5,"A","America/Coral_Harbour" +75,"Pond Inlet","Pond Inlet","Canada","YIO","CYIO",72.683334,-77.966667,181,-5,"A","America/Toronto" +76,"St Jean","St. Jean","Canada","YJN","CYJN",45.294445,-73.281111,136,-5,"A","America/Toronto" +77,"Stephenville","Stephenville","Canada","YJT","CYJT",48.544167,-58.549999,80,-3.5,"A","America/St_Johns" +78,"Kamloops","Kamloops","Canada","YKA","CYKA",50.702222,-120.444444,1133,-8,"A","America/Vancouver" +79,"Waterloo","Waterloo","Canada","YKF","CYKF",43.460833,-80.378611,1054,-5,"A","America/Toronto" +80,"Schefferville","Schefferville","Canada","YKL","CYKL",54.805278,-66.805278,1709,-5,"A","America/Toronto" +81,"Kindersley","Kindersley","Canada","YKY","CYKY",51.5175,-109.180833,2277,-6,"N","America/Regina" +82,"Buttonville Muni","Toronto","Canada","YKZ","CYKZ",43.862221,-79.37,650,-5,"A","America/Toronto" +83,"Chapleau","Chapleau","Canada","YLD","CYLD",47.82,-83.346667,1470,-5,"A","America/Toronto" +84,"Meadow Lake","Meadow Lake","Canada","YLJ","CYLJ",54.125278,-108.522778,1576,-6,"N","America/Regina" +85,"Lloydminster","Lloydminster","Canada","YLL","CYLL",53.309166,-110.0725,2193,-7,"A","America/Edmonton" +86,"Alert","Alert","Canada","YLT","CYLT",82.517778,-62.280556,100,-5,"A","America/Toronto" +87,"Kelowna","Kelowna","Canada","YLW","CYLW",49.956112,-119.377778,1409,-8,"A","America/Vancouver" +88,"Mayo","Mayo","Canada","YMA","CYMA",63.616389,-135.868333,1653,-8,"A","America/Vancouver" +89,"Moose Jaw Air Vice Marshal C M Mcewen","Moose Jaw","Canada","YMJ","CYMJ",50.330278,-105.559167,1892,-6,"N","America/Regina" +90,"Fort Mcmurray","Fort Mcmurray","Canada","YMM","CYMM",56.653333,-111.221944,1211,-7,"A","America/Edmonton" +91,"Moosonee","Moosonee","Canada","YMO","CYMO",51.291111,-80.607778,30,-5,"A","America/Toronto" +92,"Maniwaki","Maniwaki","Canada","YMW","CYMW",46.272778,-75.990556,656,-5,"A","America/Toronto" +93,"Montreal Intl Mirabel","Montreal","Canada","YMX","CYMX",45.681944,-74.005278,270,-5,"A","America/Toronto" +94,"Natashquan","Natashquan","Canada","YNA","CYNA",50.19,-61.789167,39,-5,"A","America/Toronto" +95,"Gatineau","Gatineau","Canada","YND","CYND",45.521694,-75.563589,211,-5,"A","America/Toronto" +96,"Matagami","Matagami","Canada","YNM","CYNM",49.761667,-77.802778,918,-5,"A","America/Toronto" +97,"Old Crow","Old Crow","Canada","YOC","CYOC",67.570556,-139.839167,824,-8,"A","America/Vancouver" +98,"Cold Lake","Cold Lake","Canada","YOD","CYOD",54.404999,-110.279444,1775,-7,"A","America/Edmonton" +99,"High Level","High Level","Canada","YOJ","CYOJ",58.621389,-117.164722,1110,-7,"A","America/Edmonton" +100,"Ottawa Macdonald Cartier Intl","Ottawa","Canada","YOW","CYOW",45.3225,-75.669167,374,-5,"A","America/Toronto" +101,"Prince Albert Glass Field","Prince Albert","Canada","YPA","CYPA",53.214167,-105.672778,1405,-6,"N","America/Regina" +102,"Peace River","Peace River","Canada","YPE","CYPE",56.226944,-117.447222,1873,-7,"A","America/Edmonton" +103,"Southport","Portage-la-prairie","Canada","YPG","CYPG",49.903056,-98.273889,885,-6,"A","America/Winnipeg" +104,"Pitt Meadows","Pitt Meadows","Canada","","CYPK",49.21611,-122.71,11,-8,"A","America/Vancouver" +105,"Pickle Lake","Pickle Lake","Canada","YPL","CYPL",51.446388,-90.214167,1267,-5,"A","America/Coral_Harbour" +106,"Port Menier","Port Menier","Canada","YPN","CYPN",49.836389,-64.288611,167,-5,"A","America/Toronto" +107,"Peterborough","Peterborough","Canada","YPQ","CYPQ",44.23,-78.363333,628,-5,"A","America/Toronto" +108,"Prince Rupert","Prince Pupert","Canada","YPR","CYPR",54.28611,-130.444722,116,-8,"A","America/Vancouver" +109,"Fort Chipewyan","Fort Chipewyan","Canada","YPY","CYPY",58.767223,-111.117222,761,-7,"A","America/Edmonton" +110,"Muskoka","Muskoka","Canada","YQA","CYQA",44.974722,-79.303333,925,-5,"A","America/Toronto" +111,"Quebec Jean Lesage Intl","Quebec","Canada","YQB","CYQB",46.791111,-71.393333,244,-5,"A","America/Toronto" +112,"Red Deer Regional","Red Deer Industrial","Canada","YQF","CYQF",52.182222,-113.894444,2968,-7,"A","America/Edmonton" +113,"Windsor","Windsor","Canada","YQG","CYQG",42.275556,-82.955556,622,-5,"A","America/Toronto" +114,"Watson Lake","Watson Lake","Canada","YQH","CYQH",60.116389,-128.8225,2255,-8,"A","America/Vancouver" +115,"Kenora","Kenora","Canada","YQK","CYQK",49.788334,-94.363056,1332,-6,"A","America/Winnipeg" +116,"Lethbridge","Lethbridge","Canada","YQL","CYQL",49.630278,-112.799722,3047,-7,"A","America/Edmonton" +117,"Greater Moncton Intl","Moncton","Canada","YQM","CYQM",46.112221,-64.678611,232,-4,"A","America/Halifax" +119,"Comox","Comox","Canada","YQQ","CYQQ",49.710833,-124.886667,84,-8,"A","America/Vancouver" +120,"Regina Intl","Regina","Canada","YQR","CYQR",50.431944,-104.665833,1894,-6,"N","America/Regina" +121,"Thunder Bay","Thunder Bay","Canada","YQT","CYQT",48.371944,-89.323889,653,-5,"A","America/Toronto" +122,"Grande Prairie","Grande Prairie","Canada","YQU","CYQU",55.179722,-118.885,2195,-7,"A","America/Edmonton" +123,"Yorkton Muni","Yorkton","Canada","YQV","CYQV",51.264721,-102.461667,1635,-6,"N","America/Regina" +124,"North Battleford","North Battleford","Canada","YQW","CYQW",52.769167,-108.24361,1799,-6,"N","America/Regina" +125,"Gander Intl","Gander","Canada","YQX","CYQX",48.936944,-54.568056,496,-3.5,"A","America/St_Johns" +126,"Sydney","Sydney","Canada","YQY","CYQY",46.161388,-60.047779,203,-4,"A","America/Halifax" +127,"Quesnel","Quesnel","Canada","YQZ","CYQZ",53.026112,-122.510278,1789,-8,"A","America/Vancouver" +128,"Resolute Bay","Resolute","Canada","YRB","CYRB",74.716944,-94.969444,215,-6,"A","America/Winnipeg" +129,"Riviere Du Loup","Riviere Du Loup","Canada","YRI","CYRI",47.764444,-69.584722,427,-5,"A","America/Toronto" +130,"Roberval","Roberval","Canada","YRJ","CYRJ",48.52,-72.265556,586,-5,"A","America/Toronto" +131,"Rocky Mountain House","Rocky Mountain House","Canada","YRM","CYRM",52.429722,-114.904167,3244,-7,"A","America/Edmonton" +132,"Rankin Inlet","Rankin Inlet","Canada","YRT","CYRT",62.81139,-92.115833,94,-6,"A","America/Winnipeg" +133,"Sudbury","Sudbury","Canada","YSB","CYSB",46.625,-80.798889,1141,-5,"A","America/Toronto" +134,"Sherbrooke","Sherbrooke","Canada","YSC","CYSC",45.438611,-71.691389,792,-5,"A","America/Toronto" +135,"Saint John","St. John","Canada","YSJ","CYSJ",45.316111,-65.890278,357,-4,"A","America/Halifax" +136,"Fort Smith","Fort Smith","Canada","YSM","CYSM",60.020278,-111.961944,671,-7,"A","America/Edmonton" +137,"Nanisivik","Nanisivik","Canada","YSR","CYSR",72.982222,-84.613611,2106,-5,"A","America/Toronto" +138,"Summerside","Summerside","Canada","YSU","CYSU",46.440556,-63.833611,56,-4,"A","America/Halifax" +139,"Sachs Harbour","Sachs Harbour","Canada","YSY","CYSY",71.993889,-125.2425,282,-7,"A","America/Edmonton" +140,"Cape Dorset","Cape Dorset","Canada","YTE","CYTE",64.23,-76.526667,164,-5,"A","America/Toronto" +141,"Thompson","Thompson","Canada","YTH","CYTH",55.801111,-97.864166,729,-6,"A","America/Winnipeg" +142,"Trenton","Trenton","Canada","YTR","CYTR",44.118889,-77.528056,283,-5,"A","America/Toronto" +143,"Timmins","Timmins","Canada","YTS","CYTS",48.569721,-81.376667,967,-5,"A","America/Toronto" +144,"City Centre","Toronto","Canada","YTZ","CYTZ",43.627499,-79.396167,251,-5,"A","America/Toronto" +145,"Tuktoyaktuk","Tuktoyaktuk","Canada","YUB","CYUB",69.433334,-133.026389,15,-7,"A","America/Edmonton" +146,"Pierre Elliott Trudeau Intl","Montreal","Canada","YUL","CYUL",45.470556,-73.740833,118,-5,"A","America/Toronto" +147,"Repulse Bay","Repulse Bay","Canada","YUT","CYUT",66.521389,-86.224722,80,-6,"A","America/Winnipeg" +148,"Hall Beach","Hall Beach","Canada","YUX","CYUX",68.776111,-81.243611,27,-5,"A","America/Toronto" +149,"Rouyn Noranda","Rouyn","Canada","YUY","CYUY",48.206111,-78.835556,988,-5,"A","America/Toronto" +150,"La Ronge","La Ronge","Canada","YVC","CYVC",55.15139,-105.261944,1242,-6,"N","America/Regina" +151,"Vermilion","Vermillion","Canada","YVG","CYVG",53.355833,-110.82389,2025,-7,"A","America/Edmonton" +152,"Qikiqtarjuaq","Broughton Island","Canada","YVM","CYVM",67.545833,-64.031389,21,-5,"A","America/Toronto" +153,"Val D Or","Val D'or","Canada","YVO","CYVO",48.053333,-77.782778,1107,-5,"A","America/Toronto" +154,"Kuujjuaq","Quujjuaq","Canada","YVP","CYVP",58.096111,-68.426944,129,-5,"A","America/Toronto" +155,"Norman Wells","Norman Wells","Canada","YVQ","CYVQ",65.281617,-126.798219,238,-7,"A","America/Edmonton" +156,"Vancouver Intl","Vancouver","Canada","YVR","CYVR",49.193889,-123.184444,14,-8,"A","America/Vancouver" +157,"Buffalo Narrows","Buffalo Narrows","Canada","YVT","CYVT",55.841944,-108.4175,1444,-6,"N","America/Regina" +158,"Wiarton","Wiarton","Canada","YVV","CYVV",44.745834,-81.107222,729,-5,"A","America/Toronto" +159,"Petawawa","Petawawa","Canada","YWA","CYWA",45.952221,-77.319168,427,-5,"A","America/Toronto" +160,"Winnipeg Intl","Winnipeg","Canada","YWG","CYWG",49.910036,-97.239886,783,-6,"A","America/Winnipeg" +161,"Wabush","Wabush","Canada","YWK","CYWK",52.921944,-66.864444,1808,-4,"A","America/Halifax" +162,"Williams Lake","Williams Lake","Canada","YWL","CYWL",52.183056,-122.054167,3085,-8,"A","America/Vancouver" +163,"Wrigley","Wrigley","Canada","YWY","CYWY",63.209444,-123.436667,489,-7,"A","America/Edmonton" +164,"Canadian Rockies Intl","Cranbrook","Canada","YXC","CYXC",49.612222,-115.781944,3084,-7,"A","America/Edmonton" +165,"Edmonton City Centre","Edmonton","Canada","YXD","CYXD",53.5725,-113.520556,2200,-7,"A","America/Edmonton" +166,"Saskatoon J G Diefenbaker Intl","Saskatoon","Canada","YXE","CYXE",52.170834,-106.699722,1653,-6,"N","America/Regina" +167,"Medicine Hat","Medicine Hat","Canada","YXH","CYXH",50.01889,-110.720833,2352,-7,"A","America/Edmonton" +168,"Fort St John","Fort Saint John","Canada","YXJ","CYXJ",56.238056,-120.740278,2280,-7,"A","America/Dawson_Creek" +169,"Sioux Lookout","Sioux Lookout","Canada","YXL","CYXL",50.113889,-91.905278,1258,-6,"A","America/Winnipeg" +170,"Pangnirtung","Pangnirtung","Canada","YXP","CYXP",66.145,-65.713611,75,-5,"A","America/Toronto" +171,"Timiskaming Rgnl","Earlton","Canada","YXR","CYXR",47.695,-79.848889,798,-5,"A","America/Toronto" +172,"Prince George","Prince George","Canada","YXS","CYXS",53.889444,-122.678889,2267,-8,"A","America/Vancouver" +173,"Terrace","Terrace","Canada","YXT","CYXT",54.468508,-128.576219,713,-8,"A","America/Vancouver" +174,"London","London","Canada","YXU","CYXU",43.033056,-81.151111,912,-5,"A","America/Toronto" +175,"Abbotsford","Abbotsford","Canada","YXX","CYXX",49.025278,-122.360556,195,-8,"A","America/Vancouver" +176,"Whitehorse Intl","Whitehorse","Canada","YXY","CYXY",60.709553,-135.067269,2317,-8,"A","America/Vancouver" +177,"North Bay","North Bay","Canada","YYB","CYYB",46.363611,-79.422778,1215,-5,"A","America/Toronto" +178,"Calgary Intl","Calgary","Canada","YYC","CYYC",51.113888,-114.020278,3557,-7,"A","America/Edmonton" +179,"Smithers","Smithers","Canada","YYD","CYYD",54.824722,-127.182778,1712,-8,"A","America/Vancouver" +180,"Fort Nelson","Fort Nelson","Canada","YYE","CYYE",58.836389,-122.596944,1253,-8,"A","America/Vancouver" +181,"Penticton","Penticton","Canada","YYF","CYYF",49.463056,-119.602222,1129,-8,"A","America/Vancouver" +182,"Charlottetown","Charlottetown","Canada","YYG","CYYG",46.290001,-63.121111,160,-4,"A","America/Halifax" +183,"Taloyoak","Spence Bay","Canada","YYH","CYYH",69.546667,-93.576667,92,-7,"A","America/Edmonton" +184,"Victoria Intl","Victoria","Canada","YYJ","CYYJ",48.646944,-123.425833,63,-8,"A","America/Vancouver" +185,"Lynn Lake","Lynn Lake","Canada","YYL","CYYL",56.863888,-101.07611,1170,-6,"A","America/Winnipeg" +186,"Swift Current","Swift Current","Canada","YYN","CYYN",50.291944,-107.690556,2680,-6,"N","America/Regina" +187,"Churchill","Churchill","Canada","YYQ","CYYQ",58.739167,-94.065,94,-6,"A","America/Winnipeg" +188,"Goose Bay","Goose Bay","Canada","YYR","CYYR",53.319168,-60.425833,160,-4,"A","America/Halifax" +189,"St Johns Intl","St. John's","Canada","YYT","CYYT",47.61861,-52.751945,461,-3.5,"A","America/St_Johns" +190,"Kapuskasing","Kapuskasing","Canada","YYU","CYYU",49.413889,-82.4675,743,-5,"A","America/Toronto" +191,"Armstrong","Armstrong","Canada","YYW","CYYW",50.290279,-88.909721,1058,-5,"A","America/Toronto" +192,"Mont Joli","Mont Joli","Canada","YYY","CYYY",48.608612,-68.208056,172,-5,"A","America/Toronto" +193,"Lester B Pearson Intl","Toronto","Canada","YYZ","CYYZ",43.677223,-79.630556,569,-5,"A","America/Toronto" +194,"Downsview","Toronto","Canada","YZD","CYZD",43.7425,-79.465556,652,-5,"A","America/Toronto" +195,"Gore Bay Manitoulin","Gore Bay","Canada","YZE","CYZE",45.885277,-82.567778,635,-5,"A","America/Toronto" +196,"Yellowknife","Yellowknife","Canada","YZF","CYZF",62.462778,-114.440278,675,-7,"A","America/Edmonton" +197,"Slave Lake","Slave Lake","Canada","YZH","CYZH",55.293056,-114.777222,1912,-7,"A","America/Edmonton" +198,"Sandspit","Sandspit","Canada","YZP","CYZP",53.254333,-131.813833,21,-8,"A","America/Vancouver" +199,"Chris Hadfield","Sarnia","Canada","YZR","CYZR",42.999444,-82.308889,594,-5,"A","America/Toronto" +200,"Port Hardy","Port Hardy","Canada","YZT","CYZT",50.680556,-127.366667,71,-8,"A","America/Vancouver" +201,"Whitecourt","Whitecourt","Canada","YZU","CYZU",54.14389,-115.786667,2567,-7,"A","America/Edmonton" +202,"Sept Iles","Sept-iles","Canada","YZV","CYZV",50.223333,-66.265556,180,-5,"A","America/Toronto" +203,"Teslin","Teslin","Canada","YZW","CYZW",60.172779,-132.742778,2313,-8,"A","America/Vancouver" +204,"Greenwood","Greenwood","Canada","YZX","CYZX",44.984444,-64.916944,92,-4,"A","America/Halifax" +205,"Faro","Faro","Canada","ZFA","CZFA",62.2075,-133.375833,2351,-8,"A","America/Vancouver" +206,"Fort Mcpherson","Fort Mcpherson","Canada","ZFM","CZFM",67.4075,-134.860556,116,-7,"A","America/Edmonton" +207,"Blida","Blida","Algeria","","DAAB",36.503613,2.814167,535,1,"N","Africa/Algiers" +208,"Bou Saada","Bou Saada","Algeria","","DAAD",35.3325,4.206389,1506,1,"N","Africa/Algiers" +209,"Soummam","Bejaja","Algeria","BJA","DAAE",36.711997,5.069922,20,1,"N","Africa/Algiers" +210,"Houari Boumediene","Algier","Algeria","ALG","DAAG",36.691014,3.215408,82,1,"N","Africa/Algiers" +211,"Tiska","Djanet","Algeria","DJG","DAAJ",24.292767,9.452444,3176,1,"N","Africa/Algiers" +212,"Boufarik","Boufarik","Algeria","QFD","DAAK",36.545834,2.876111,335,1,"N","Africa/Algiers" +213,"Reggane","Reggan","Algeria","","DAAN",26.710103,0.285647,955,1,"N","Africa/Algiers" +214,"Illizi Takhamalt","Illizi","Algeria","VVZ","DAAP",26.723536,8.622653,1778,1,"N","Africa/Algiers" +215,"Ain Oussera","Ain Oussera","Algeria","","DAAQ",35.525414,2.878714,2132,1,"N","Africa/Algiers" +216,"Tamanrasset","Tamanrasset","Algeria","TMR","DAAT",22.811461,5.451075,4518,1,"N","Africa/Algiers" +217,"Jijel","Jijel","Algeria","GJL","DAAV",36.795136,5.873608,36,1,"N","Africa/Algiers" +218,"Mecheria","Mecheria","Algeria","","DAAY",33.535853,-0.242353,3855,1,"N","Africa/Algiers" +219,"Relizane","Relizane","Algeria","","DAAZ",35.752239,0.626272,282,1,"N","Africa/Algiers" +220,"Annaba","Annaba","Algeria","AAE","DABB",36.822225,7.809167,16,1,"N","Africa/Algiers" +221,"Mohamed Boudiaf Intl","Constantine","Algeria","CZL","DABC",36.276028,6.620386,2265,1,"N","Africa/Algiers" +222,"Cheikh Larbi Tebessi","Tebessa","Algeria","TEE","DABS",35.431611,8.120717,2661,1,"N","Africa/Algiers" +224,"Hassi R Mel","Tilrempt","Algeria","HRM","DAFH",32.930431,3.311542,2540,1,"N","Africa/Algiers" +225,"Bou Chekif","Tiaret","Algeria","TID","DAOB",35.341136,1.463147,3245,1,"N","Africa/Algiers" +226,"Bou Sfer","Bou Sfer","Algeria","","DAOE",35.735389,-0.805389,187,1,"N","Africa/Algiers" +227,"Tindouf","Tindouf","Algeria","TIN","DAOF",27.700372,-8.167103,1453,1,"N","Africa/Algiers" +228,"Ech Cheliff","Ech-cheliff","Algeria","QAS","DAOI",36.212658,1.331775,463,1,"N","Africa/Algiers" +229,"Tafaraoui","Oran","Algeria","TAF","DAOL",35.542444,-0.532278,367,1,"N","Africa/Algiers" +230,"Zenata","Tlemcen","Algeria","TLM","DAON",35.016667,-1.45,814,1,"N","Africa/Algiers" +231,"Es Senia","Oran","Algeria","ORN","DAOO",35.623858,-0.621183,295,1,"N","Africa/Algiers" +232,"Sidi Bel Abbes","Sidi Bel Abbes","Algeria","","DAOS",35.171775,-0.593275,1614,1,"N","Africa/Algiers" +233,"Ghriss","Ghriss","Algeria","MUW","DAOV",35.207725,0.147142,1686,1,"N","Africa/Algiers" +234,"Touat Cheikh Sidi Mohamed Belkebir","Adrar","Algeria","AZR","DAUA",27.837589,-0.186414,919,1,"N","Africa/Algiers" +235,"Biskra","Biskra","Algeria","BSK","DAUB",34.793289,5.738231,289,1,"N","Africa/Algiers" +236,"El Golea","El Golea","Algeria","ELG","DAUE",30.571294,2.859586,1306,1,"N","Africa/Algiers" +237,"Noumerat","Ghardaia","Algeria","GHA","DAUG",32.384106,3.794114,1512,1,"N","Africa/Algiers" +238,"Oued Irara","Hassi Messaoud","Algeria","HME","DAUH",31.672972,6.140444,463,1,"N","Africa/Algiers" +239,"In Salah","In Salah","Algeria","INZ","DAUI",27.251022,2.512017,896,1,"N","Africa/Algiers" +240,"Sidi Mahdi","Touggourt","Algeria","TGR","DAUK",33.067803,6.088672,279,1,"N","Africa/Algiers" +241,"Laghouat","Laghouat","Algeria","LOO","DAUL",33.764383,2.928344,2510,1,"N","Africa/Algiers" +242,"Timimoun","Timimoun","Algeria","TMX","DAUT",29.237119,0.276033,1027,1,"N","Africa/Algiers" +243,"Ouargla","Ouargla","Algeria","OGX","DAUU",31.917223,5.412778,492,1,"N","Africa/Algiers" +244,"In Amenas","Zarzaitine","Algeria","IAM","DAUZ",28.05155,9.642911,1847,1,"N","Africa/Algiers" +245,"Cadjehoun","Cotonou","Benin","COO","DBBB",6.357228,2.384353,19,1,"N","Africa/Porto-Novo" +246,"Ouagadougou","Ouagadougou","Burkina Faso","OUA","DFFD",12.353194,-1.512417,1037,0,"N","Africa/Ouagadougou" +247,"Bobo Dioulasso","Bobo-dioulasso","Burkina Faso","BOY","DFOO",11.160056,-4.330969,1511,0,"N","Africa/Ouagadougou" +248,"Kotoka Intl","Accra","Ghana","ACC","DGAA",5.605186,-0.166786,205,0,"N","Africa/Accra" +249,"Tamale","Tamale","Ghana","TML","DGLE",9.557192,-0.863214,553,0,"N","Africa/Accra" +250,"Wa","Wa","Ghana","","DGLW",10.082664,-2.507694,1060,0,"N","Africa/Accra" +251,"Sunyani","Sunyani","Ghana","NYI","DGSN",7.361828,-2.328756,1014,0,"N","Africa/Accra" +252,"Takoradi","Takoradi","Ghana","TKD","DGTK",4.896056,-1.774756,21,0,"N","Africa/Accra" +253,"Abidjan Felix Houphouet Boigny Intl","Abidjan","Cote d'Ivoire","ABJ","DIAP",5.261386,-3.926294,21,0,"N","Africa/Abidjan" +254,"Bouake","Bouake","Cote d'Ivoire","BYK","DIBK",7.7388,-5.073667,1230,0,"N","Africa/Abidjan" +255,"Daloa","Daloa","Cote d'Ivoire","DJO","DIDL",6.792808,-6.473189,823,0,"N","Africa/Abidjan" +256,"Korhogo","Korhogo","Cote d'Ivoire","HGO","DIKO",9.387183,-5.556664,1214,0,"N","Africa/Abidjan" +257,"Man","Man","Cote d'Ivoire","MJC","DIMN",7.272069,-7.587364,1089,0,"N","Africa/Abidjan" +258,"San Pedro","San Pedro","Cote d'Ivoire","SPY","DISP",4.746717,-6.660817,26,0,"N","Africa/Abidjan" +259,"Yamoussoukro","Yamoussoukro","Cote d'Ivoire","ASK","DIYO",6.903167,-5.365581,699,0,"N","Africa/Abidjan" +260,"Nnamdi Azikiwe Intl","Abuja","Nigeria","ABV","DNAA",9.006792,7.263172,1123,1,"N","Africa/Lagos" +261,"Akure","Akure","Nigeria","AKR","DNAK",7.246739,5.301008,1100,1,"N","Africa/Lagos" +262,"Benin","Benin","Nigeria","BNI","DNBE",6.316981,5.599503,258,1,"N","Africa/Lagos" +263,"Calabar","Calabar","Nigeria","CBQ","DNCA",4.976019,8.347197,210,1,"N","Africa/Lagos" +264,"Enugu","Enugu","Nigeria","ENU","DNEN",6.474272,7.561961,466,1,"N","Africa/Lagos" +265,"Gusau","Gusau","Nigeria","QUS","DNGU",12.171667,6.696111,1520,1,"N","Africa/Lagos" +266,"Ibadan","Ibadan","Nigeria","IBA","DNIB",7.362458,3.978333,725,1,"N","Africa/Lagos" +267,"Ilorin","Ilorin","Nigeria","ILR","DNIL",8.440211,4.493919,1126,1,"N","Africa/Lagos" +268,"Yakubu Gowon","Jos","Nigeria","JOS","DNJO",9.639828,8.86905,4232,1,"N","Africa/Lagos" +269,"Kaduna","Kaduna","Nigeria","KAD","DNKA",10.696025,7.320114,2073,1,"N","Africa/Lagos" +270,"Mallam Aminu Intl","Kano","Nigeria","KAN","DNKN",12.047589,8.524622,1562,1,"N","Africa/Lagos" +271,"Maiduguri","Maiduguri","Nigeria","MIU","DNMA",11.855347,13.08095,1099,1,"N","Africa/Lagos" +272,"Makurdi","Makurdi","Nigeria","MDI","DNMK",7.703883,8.613939,371,1,"N","Africa/Lagos" +273,"Murtala Muhammed","Lagos","Nigeria","LOS","DNMM",6.577369,3.321156,135,1,"N","Africa/Lagos" +274,"Minna New","Minna","Nigeria","MXJ","DNMN",9.652172,6.462256,834,1,"N","Africa/Lagos" +275,"Port Harcourt Intl","Port Hartcourt","Nigeria","PHC","DNPO",5.015494,6.949594,87,1,"N","Africa/Lagos" +276,"Sadiq Abubakar Iii Intl","Sokoto","Nigeria","SKO","DNSO",12.916322,5.207189,1010,1,"N","Africa/Lagos" +277,"Yola","Yola","Nigeria","YOL","DNYO",9.257553,12.430422,599,1,"N","Africa/Lagos" +278,"Zaria","Zaria","Nigeria","ZAR","DNZA",11.130192,7.685806,2170,1,"N","Africa/Lagos" +279,"Maradi","Maradi","Niger","MFQ","DRRM",13.502531,7.126753,1240,1,"N","Africa/Niamey" +280,"Diori Hamani","Niamey","Niger","NIM","DRRN",13.481547,2.183614,732,1,"N","Africa/Niamey" +281,"Tahoua","Tahoua","Niger","THZ","DRRT",14.875658,5.265358,1266,1,"N","Africa/Niamey" +282,"Manu Dayak","Agadez","Niger","AJY","DRZA",16.965997,8.000114,1657,1,"N","Africa/Niamey" +283,"Dirkou","Dirkou","Niger","","DRZD",18.968703,12.86865,1273,1,"N","Africa/Niamey" +284,"Diffa","Diffa","Niger","","DRZF",13.372894,12.626686,994,1,"N","Africa/Niamey" +285,"Zinder","Zinder","Niger","ZND","DRZR",13.778997,8.983761,1516,1,"N","Africa/Niamey" +286,"Habib Bourguiba Intl","Monastir","Tunisia","MIR","DTMB",35.758056,10.754722,9,1,"E","Africa/Tunis" +287,"Carthage","Tunis","Tunisia","TUN","DTTA",36.851033,10.227217,22,1,"E","Africa/Tunis" +288,"Sidi Ahmed Air Base","Bizerte","Tunisia","","DTTB",37.245447,9.791453,20,1,"E","Africa/Tunis" +289,"Remada","Remada","Tunisia","","DTTD",32.306156,10.382108,1004,1,"E","Africa/Tunis" +290,"Gafsa","Gafsa","Tunisia","GAF","DTTF",34.422022,8.822503,1060,1,"E","Africa/Tunis" +291,"Gabes","Gabes","Tunisia","GAE","DTTG",33.876919,10.103333,26,1,"E","Africa/Tunis" +292,"Borj El Amri","Bordj El Amri","Tunisia","","DTTI",36.721339,9.943147,108,1,"E","Africa/Tunis" +293,"Zarzis","Djerba","Tunisia","DJE","DTTJ",33.875031,10.775461,19,1,"E","Africa/Tunis" +294,"El Borma","El Borma","Tunisia","EBM","DTTR",31.704281,9.254619,827,1,"E","Africa/Tunis" +295,"Thyna","Sfax","Tunisia","SFA","DTTX",34.717953,10.690972,85,1,"E","Africa/Tunis" +296,"Nefta","Tozeur","Tunisia","TOE","DTTZ",33.939722,8.110556,287,1,"E","Africa/Tunis" +297,"Niamtougou International","Niatougou","Togo","LRL","DXNG",9.767333,1.09125,1515,0,"N","Africa/Lome" +298,"Gnassingbe Eyadema Intl","Lome","Togo","LFW","DXXX",6.165611,1.254511,72,0,"N","Africa/Lome" +299,"Deurne","Antwerp","Belgium","ANR","EBAW",51.189444,4.460278,39,1,"E","Europe/Brussels" +300,"Beauvechain","Beauvechain","Belgium","","EBBE",50.75861,4.768333,370,1,"E","Europe/Brussels" +301,"Kleine Brogel","Kleine Brogel","Belgium","","EBBL",51.168333,5.47,200,1,"E","Europe/Brussels" +302,"Brussels Natl","Brussels","Belgium","BRU","EBBR",50.901389,4.484444,184,1,"E","Europe/Brussels" +303,"Bertrix","Bertrix","Belgium","","EBBX",49.891667,5.223889,1514,1,"E","Europe/Brussels" +304,"Brussels South","Charleroi","Belgium","CRL","EBCI",50.459197,4.453817,614,1,"E","Europe/Brussels" +305,"Chievres Ab","Chievres","Belgium","","EBCV",50.575833,3.831,193,1,"E","Europe/Brussels" +306,"Koksijde","Koksijde","Belgium","","EBFN",51.090278,2.652778,20,1,"E","Europe/Brussels" +307,"Florennes","Florennes","Belgium","","EBFS",50.243333,4.645833,935,1,"E","Europe/Brussels" +308,"Wevelgem","Kortrijk-vevelgem","Belgium","QKT","EBKT",50.817222,3.204722,64,1,"E","Europe/Brussels" +309,"Liege","Liege","Belgium","LGG","EBLG",50.637417,5.443222,659,1,"E","Europe/Brussels" +310,"Oostende","Ostend","Belgium","OST","EBOS",51.198889,2.862222,13,1,"E","Europe/Brussels" +311,"Zutendaal","Zutendaal","Belgium","","EBSL",50.9475,5.590556,312,1,"E","Europe/Brussels" +312,"Sint Truiden","Sint-truiden","Belgium","","EBST",50.791944,5.201667,246,1,"E","Europe/Brussels" +313,"Saint Hubert Mil","St.-hubert","Belgium","","EBSU",50.035833,5.404167,1930,1,"E","Europe/Brussels" +314,"Ursel","Ursel","Belgium","","EBUL",51.144133,3.474361,95,1,"E","Europe/Brussels" +315,"Weelde","Weelde","Belgium","","EBWE",51.394783,4.960194,105,1,"E","Europe/Brussels" +316,"Zoersel","Zoersel","Belgium","","EBZR",51.264722,4.753333,53,1,"E","Europe/Brussels" +317,"Bautzen","Bautzen","Germany","BBJ","EDAB",51.193531,14.519747,568,1,"E","Europe/Berlin" +318,"Altenburg Nobitz","Altenburg","Germany","AOC","EDAC",50.981817,12.506361,640,1,"E","Europe/Berlin" +319,"Dessau","Dessau","Germany","","EDAD",51.831828,12.184033,187,1,"E","Europe/Berlin" +320,"Eisenhuttenstadt","Eisenhuettenstadt","Germany","","EDAE",52.197333,14.585667,149,1,"E","Europe/Berlin" +6891,"Putnam County Airport","Greencastle","United States","4I7",\N,39.6335556,-86.8138056,842,-5,"U","America/New_York" +322,"Grossenhain","Suhl","Germany","","EDAK",51.308111,13.554973,417,1,"E","Europe/Berlin" +323,"Merseburg","Muehlhausen","Germany","","EDAM",51.363,11.940833,340,1,"E","Europe/Berlin" +324,"Halle Oppin","Halle","Germany","","EDAQ",51.552,12.052667,347,1,"E","Europe/Berlin" +325,"Riesa Gohlis","Riesa","Germany","","EDAU",51.2935,13.356,322,1,"E","Europe/Berlin" +326,"Rechlin Larz","Rechlin-laerz","Germany","","EDAX",53.306417,12.753139,220,1,"E","Europe/Berlin" +327,"Strausberg","Strausberg","Germany","","EDAY",52.579978,13.915683,263,1,"E","Europe/Berlin" +328,"Schonhagen","Schoenhagen","Germany","","EDAZ",52.203258,13.158408,131,1,"E","Europe/Berlin" +329,"Barth","Barth","Germany","BBH","EDBH",54.33754,12.699705,23,1,"E","Europe/Berlin" +330,"Jena Schongleina","Jena","Germany","","EDBJ",50.915161,11.714519,1228,1,"E","Europe/Berlin" +331,"Kyritz","Kyritz","Germany","","EDBK",52.918833,12.425333,130,1,"E","Europe/Berlin" +332,"Magdeburg","Magdeburg","Germany","","EDBM",52.073658,11.626467,268,1,"E","Europe/Berlin" +333,"Rothenburg Gorlitz","Rothenburg/ol","Germany","","EDBR",51.363167,14.95,517,1,"E","Europe/Berlin" +334,"Anklam","Anklam","Germany","","EDCA",53.8327,13.669131,18,1,"E","Europe/Berlin" +335,"Cottbus Drewitz","Cottbus","Germany","","EDCD",51.889475,14.531986,274,1,"E","Europe/Berlin" +336,"Kamenz","Kamenz","Germany","","EDCM",51.29625,14.129,495,1,"E","Europe/Berlin" +337,"Schonefeld","Berlin","Germany","SXF","EDDB",52.380001,13.5225,157,1,"E","Europe/Berlin" +338,"Dresden","Dresden","Germany","DRS","EDDC",51.132767,13.767161,755,1,"E","Europe/Berlin" +339,"Erfurt","Erfurt","Germany","ERF","EDDE",50.979811,10.958106,1036,1,"E","Europe/Berlin" +340,"Frankfurt Main","Frankfurt","Germany","FRA","EDDF",50.026421,8.543125,364,1,"E","Europe/Berlin" +341,"Munster Osnabruck","Munster","Germany","FMO","EDDG",52.134642,7.684831,160,1,"E","Europe/Berlin" +342,"Hamburg","Hamburg","Germany","HAM","EDDH",53.630389,9.988228,53,1,"E","Europe/Berlin" +343,"Tempelhof","Berlin","Germany","THF","EDDI",52.473025,13.403944,167,1,"E","Europe/Berlin" +344,"Koln Bonn","Cologne","Germany","CGN","EDDK",50.865917,7.142744,302,1,"E","Europe/Berlin" +345,"Dusseldorf","Duesseldorf","Germany","DUS","EDDL",51.289453,6.766775,147,1,"E","Europe/Berlin" +346,"Franz Josef Strauss","Munich","Germany","MUC","EDDM",48.353783,11.786086,1487,1,"E","Europe/Berlin" +347,"Nurnberg","Nuernberg","Germany","NUE","EDDN",49.4987,11.066897,1046,1,"E","Europe/Berlin" +348,"Leipzig Halle","Leipzig","Germany","LEJ","EDDP",51.432447,12.241633,465,1,"E","Europe/Berlin" +349,"Saarbrucken","Saarbruecken","Germany","SCN","EDDR",49.214553,7.109508,1058,1,"E","Europe/Berlin" +350,"Stuttgart","Stuttgart","Germany","STR","EDDS",48.689878,9.221964,1276,1,"E","Europe/Berlin" +351,"Tegel","Berlin","Germany","TXL","EDDT",52.559686,13.287711,122,1,"E","Europe/Berlin" +352,"Hannover","Hannover","Germany","HAJ","EDDV",52.461056,9.685078,183,1,"E","Europe/Berlin" +353,"Neuenland","Bremen","Germany","BRE","EDDW",53.0475,8.786667,14,1,"E","Europe/Berlin" +354,"Egelsbach","Egelsbach","Germany","","EDFE",49.960833,8.6415,385,1,"E","Europe/Berlin" +355,"Frankfurt Hahn","Hahn","Germany","HHN","EDFH",49.948672,7.263892,1649,1,"E","Europe/Berlin" +356,"Mannheim City","Mannheim","Germany","MHG","EDFM",49.472706,8.514264,309,1,"E","Europe/Berlin" +357,"Allendorf Eder","Allendorf","Germany","","EDFQ",51.034878,8.680839,1164,1,"E","Europe/Berlin" +358,"Worms","Worms","Germany","","EDFV",49.606511,8.3684,295,1,"E","Europe/Berlin" +359,"Mainz Finthen","Mainz","Germany","","EDFZ",49.968931,8.148336,760,1,"E","Europe/Berlin" +360,"Eisenach Kindel","Eisenach","Germany","","EDGE",50.992797,10.472711,1101,1,"E","Europe/Berlin" +361,"Siegerland","Siegerland","Germany","","EDGS",50.707658,8.082969,1966,1,"E","Europe/Berlin" +362,"Hamburg Finkenwerder","Hamburg","Germany","XFW","EDHI",53.535886,9.837025,22,1,"E","Europe/Berlin" +363,"Kiel Holtenau","Kiel","Germany","KEL","EDHK",54.3795,10.145167,101,1,"E","Europe/Berlin" +364,"Lubeck Blankensee","Luebeck","Germany","LBC","EDHL",53.805367,10.719222,53,1,"E","Europe/Berlin" +365,"Dahlemer Binz","Dahlemer Binz","Germany","","EDKV",50.405888,6.528083,1896,1,"E","Europe/Berlin" +366,"Meinerzhagen","Meinerzhagen","Germany","","EDKZ",51.099445,7.601944,1548,1,"E","Europe/Berlin" +367,"Arnsberg Menden","Arnsberg","Germany","ZCA","EDLA",51.483333,7.899333,794,1,"E","Europe/Berlin" +368,"Essen Mulheim","Essen","Germany","ESS","EDLE",51.402333,6.937333,424,1,"E","Europe/Berlin" +369,"Bielefeld","Bielefeld","Germany","","EDLI",51.964833,8.544833,454,1,"E","Europe/Berlin" +370,"Monchengladbach","Moenchengladbach","Germany","MGL","EDLN",51.230356,6.504494,125,1,"E","Europe/Berlin" +371,"Paderborn Lippstadt","Paderborn","Germany","PAD","EDLP",51.614089,8.616317,699,1,"E","Europe/Berlin" +372,"Stadtlohn Vreden","Stadtlohn","Germany","","EDLS",51.995844,6.840667,157,1,"E","Europe/Berlin" +373,"Dortmund","Dortmund","Germany","DTM","EDLW",51.518314,7.612242,425,1,"E","Europe/Berlin" +374,"Augsburg","Augsburg","Germany","AGB","EDMA",48.425158,10.931764,1515,1,"E","Europe/Berlin" +375,"Biberach An Der Riss","Biberach","Germany","","EDMB",48.111,9.762833,1903,1,"E","Europe/Berlin" +376,"Eggenfelden","Eggenfelden","Germany","","EDME",48.396167,12.723667,1342,1,"E","Europe/Berlin" +377,"Mindelheim Mattsies","Mindelheim","Germany","","EDMN",48.108833,10.524333,1857,1,"E","Europe/Berlin" +378,"Oberpfaffenhofen","Oberpfaffenhofen","Germany","OBF","EDMO",48.081364,11.283067,1947,1,"E","Europe/Berlin" +379,"Straubing","Straubing","Germany","","EDMS",48.90095,12.518186,1054,1,"E","Europe/Berlin" +380,"Vilshofen","Vilshofen","Germany","","EDMV",48.635167,13.195667,991,1,"E","Europe/Berlin" +381,"Leutkirch Unterzeil","Leutkirch","Germany","","EDNL",47.859117,10.014572,2099,1,"E","Europe/Berlin" +382,"Friedrichshafen","Friedrichshafen","Germany","FDH","EDNY",47.671317,9.511486,1367,1,"E","Europe/Berlin" +383,"Schwerin Parchim","Parchim","Germany","SZW","EDOP",53.426997,11.783436,166,1,"E","Europe/Berlin" +384,"Stendal Borstel","Stendal","Germany","ZSN","EDOV",52.627778,11.818333,184,1,"E","Europe/Berlin" +385,"Aalen Heidenheim Elchingen","Aalen-heidenheim","Germany","","EDPA",48.777833,10.264667,1916,1,"E","Europe/Berlin" +386,"Bayreuth","Bayreuth","Germany","BYU","EDQD",49.984428,11.638569,1601,1,"E","Europe/Berlin" +387,"Burg Feuerstein","Burg Feuerstein","Germany","","EDQE",49.793833,11.133167,1674,1,"E","Europe/Berlin" +388,"Hof Plauen","Hof","Germany","HOQ","EDQM",50.288836,11.854919,1960,1,"E","Europe/Berlin" +389,"Hassfurt Schweinfurt","Hassfurt","Germany","","EDQT",50.018,10.5295,718,1,"E","Europe/Berlin" +390,"Koblenz Winningen","Koblenz","Germany","ZNV","EDRK",50.3255,7.528667,640,1,"E","Europe/Berlin" +391,"Trier Fohren","Trier","Germany","ZQF","EDRT",49.8635,6.788167,665,1,"E","Europe/Berlin" +392,"Speyer","Speyer","Germany","ZQC","EDRY",49.302776,8.451195,312,1,"E","Europe/Berlin" +393,"Zweibrucken","Zweibruecken","Germany","","EDRZ",49.209525,7.400647,1133,1,"E","Europe/Berlin" +394,"Donaueschingen Villingen","Donaueschingen","Germany","ZQL","EDTD",47.973331,8.522223,2231,1,"E","Europe/Berlin" +395,"Freiburg","Freiburg","Germany","","EDTF",48.022653,7.832583,799,1,"E","Europe/Berlin" +396,"Mengen Hohentengen","Mengen","Germany","","EDTM",48.053833,9.372833,1820,1,"E","Europe/Berlin" +397,"Schwabisch Hall","Schwaebisch Hall","Germany","","EDTY",49.118317,9.783956,1311,1,"E","Europe/Berlin" +398,"Finsterwalde Schacksdorf","Soest","Germany","","EDUS",51.6075,13.738,399,1,"E","Europe/Berlin" +399,"Braunschweig Wolfsburg","Braunschweig","Germany","BWE","EDVE",52.319167,10.556111,295,1,"E","Europe/Berlin" +400,"Kassel Calden","Kassel","Germany","KSF","EDVK",51.408394,9.377631,908,1,"E","Europe/Berlin" +401,"Hildesheim","Hildesheim","Germany","","EDVM",52.179833,9.945667,293,1,"E","Europe/Berlin" +402,"Bremerhaven","Bremerhaven","Germany","BRV","EDWB",53.507081,8.572878,11,1,"E","Europe/Berlin" +403,"Emden","Emden","Germany","EME","EDWE",53.391186,7.227408,2,1,"E","Europe/Berlin" +404,"Leer Papenburg","Leer","Germany","","EDWF",53.271592,7.442344,3,1,"E","Europe/Berlin" +405,"Wilhelmshaven Mariensiel","Wilhelmshaven","Germany","WVN","EDWI",53.504833,8.053333,16,1,"E","Europe/Berlin" +406,"Borkum","Borkum","Germany","BMK","EDWR",53.5955,6.709167,3,1,"E","Europe/Berlin" +407,"Norderney","Norderney","Germany","NRD","EDWY",53.706822,7.230247,6,1,"E","Europe/Berlin" +408,"Flensburg Schaferhaus","Flensburg","Germany","FLF","EDXF",54.771772,9.378214,130,1,"E","Europe/Berlin" +409,"Rendsburg Schachtholm","Rendsburg","Germany","","EDXR",54.220928,9.600803,23,1,"E","Europe/Berlin" +410,"Westerland Sylt","Westerland","Germany","GWT","EDXW",54.91325,8.340472,51,1,"E","Europe/Berlin" +411,"Amari","Armari Air Force Base","Estonia","","EEEI",59.260286,24.208467,65,2,"E","Europe/Tallinn" +412,"Kardla","Kardla","Estonia","KDL","EEKA",58.990756,22.830733,18,2,"E","Europe/Tallinn" +413,"Kuressaare","Kuressaare","Estonia","URE","EEKE",58.229883,22.509494,14,2,"E","Europe/Tallinn" +414,"Parnu","Parnu","Estonia","EPU","EEPU",58.419044,24.472819,47,2,"E","Europe/Tallinn" +415,"Tallinn","Tallinn-ulemiste International","Estonia","TLL","EETN",59.413317,24.832844,131,2,"E","Europe/Tallinn" +416,"Tartu","Tartu","Estonia","TAY","EETU",58.307461,26.690428,219,2,"E","Europe/Tallinn" +417,"Enontekio","Enontekio","Finland","ENF","EFET",68.362586,23.424322,1005,2,"E","Europe/Helsinki" +418,"Eura","Eura","Finland","","EFEU",61.116112,22.201389,259,2,"E","Europe/Helsinki" +419,"Halli","Halli","Finland","KEV","EFHA",61.85605,24.7866,479,2,"E","Europe/Helsinki" +420,"Helsinki Malmi","Helsinki","Finland","HEM","EFHF",60.254558,25.042828,57,2,"E","Europe/Helsinki" +421,"Helsinki Vantaa","Helsinki","Finland","HEL","EFHK",60.317222,24.963333,179,2,"E","Europe/Helsinki" +422,"Hameenkyro","Hameenkyro","Finland","","EFHM",61.689656,23.073744,449,2,"E","Europe/Helsinki" +423,"Hanko","Hanko","Finland","","EFHN",59.848864,23.083583,20,2,"E","Europe/Helsinki" +424,"Hyvinkaa","Hyvinkaa","Finland","HYV","EFHV",60.654444,24.881111,430,2,"E","Europe/Helsinki" +425,"Kiikala","Kikala","Finland","","EFIK",60.462502,23.6525,381,2,"E","Europe/Helsinki" +426,"Immola","Immola","Finland","","EFIM",61.249172,28.903711,338,2,"E","Europe/Helsinki" +427,"Kitee","Kitee","Finland","","EFIT",62.166111,30.073611,364,2,"E","Europe/Helsinki" +428,"Ivalo","Ivalo","Finland","IVL","EFIV",68.607269,27.405328,481,2,"E","Europe/Helsinki" +429,"Joensuu","Joensuu","Finland","JOE","EFJO",62.662906,29.60755,398,2,"E","Europe/Helsinki" +430,"Jyvaskyla","Jyvaskyla","Finland","JYV","EFJY",62.399453,25.678253,459,2,"E","Europe/Helsinki" +431,"Kauhava","Kauhava","Finland","KAU","EFKA",63.127078,23.051442,151,2,"E","Europe/Helsinki" +432,"Kemi Tornio","Kemi","Finland","KEM","EFKE",65.781889,24.5991,61,2,"E","Europe/Helsinki" +433,"Kajaani","Kajaani","Finland","KAJ","EFKI",64.285472,27.692414,483,2,"E","Europe/Helsinki" +434,"Kauhajoki","Kauhajoki","Finland","","EFKJ",62.462502,22.393055,407,2,"E","Europe/Helsinki" +435,"Kruunupyy","Kruunupyy","Finland","KOK","EFKK",63.721172,23.143131,84,2,"E","Europe/Helsinki" +436,"Kemijarvi","Kemijarvi","Finland","","EFKM",66.712883,27.156786,692,2,"E","Europe/Helsinki" +437,"Kuusamo","Kuusamo","Finland","KAO","EFKS",65.987575,29.239381,866,2,"E","Europe/Helsinki" +438,"Kittila","Kittila","Finland","KTT","EFKT",67.701022,24.84685,644,2,"E","Europe/Helsinki" +439,"Kuopio","Kuopio","Finland","KUO","EFKU",63.00715,27.797756,323,2,"E","Europe/Helsinki" +440,"Lahti Vesivehmaa","Vesivehmaa","Finland","","EFLA",61.144158,25.693508,502,2,"E","Europe/Helsinki" +441,"Lappeenranta","Lappeenranta","Finland","LPP","EFLP",61.044553,28.144397,349,2,"E","Europe/Helsinki" +442,"Mariehamn","Mariehamn","Finland","MHQ","EFMA",60.122203,19.898156,17,2,"E","Europe/Mariehamn" +443,"Menkijarvi","Menkijarvi","Finland","","EFME",62.946667,23.518889,331,2,"E","Europe/Helsinki" +444,"Mikkeli","Mikkeli","Finland","MIK","EFMI",61.6866,27.201794,329,2,"E","Europe/Helsinki" +445,"Nummela","Nummela","Finland","","EFNU",60.333889,24.296389,367,2,"E","Europe/Helsinki" +446,"Oulu","Oulu","Finland","OUL","EFOU",64.930061,25.354564,47,2,"E","Europe/Helsinki" +447,"Piikajarvi","Piikajarvi","Finland","","EFPI",61.245558,22.193356,148,2,"E","Europe/Helsinki" +448,"Pori","Pori","Finland","POR","EFPO",61.461686,21.799983,44,2,"E","Europe/Helsinki" +449,"Pudasjarvi","Pudasjarvi","Finland","","EFPU",65.402222,26.946944,397,2,"E","Europe/Helsinki" +450,"Pyhasalmi","Pyhasalmi","Finland","","EFPY",63.731917,25.926306,528,2,"E","Europe/Helsinki" +451,"Raahe Pattijoki","Pattijoki","Finland","","EFRH",64.688056,24.695833,118,2,"E","Europe/Helsinki" +452,"Rantasalmi","Rantasalmi","Finland","","EFRN",62.065481,28.356494,292,2,"E","Europe/Helsinki" +453,"Rovaniemi","Rovaniemi","Finland","RVN","EFRO",66.564822,25.830411,642,2,"E","Europe/Helsinki" +454,"Rayskala","Rayskala","Finland","","EFRY",60.744722,24.107778,407,2,"E","Europe/Helsinki" +455,"Savonlinna","Savonlinna","Finland","SVL","EFSA",61.943064,28.945136,311,2,"E","Europe/Helsinki" +456,"Selanpaa","Selanpaa","Finland","","EFSE",61.062389,26.798861,417,2,"E","Europe/Helsinki" +457,"Sodankyla","Sodankyla","Finland","SOT","EFSO",67.395033,26.619133,602,2,"E","Europe/Helsinki" +458,"Tampere Pirkkala","Tampere","Finland","TMP","EFTP",61.414147,23.604392,390,2,"E","Europe/Helsinki" +459,"Teisko","Teisko","Finland","","EFTS",61.77335,24.027006,515,2,"E","Europe/Helsinki" +460,"Turku","Turku","Finland","TKU","EFTU",60.514142,22.262808,161,2,"E","Europe/Helsinki" +461,"Utti","Utti","Finland","QVY","EFUT",60.896394,26.938353,339,2,"E","Europe/Helsinki" +462,"Vaasa","Vaasa","Finland","VAA","EFVA",63.05065,21.762175,19,2,"E","Europe/Helsinki" +463,"Varkaus","Varkaus","Finland","VRK","EFVR",62.171111,27.868611,286,2,"E","Europe/Helsinki" +464,"Ylivieska","Ylivieska-raudaskyla","Finland","","EFYL",64.060547,24.715953,252,2,"E","Europe/Helsinki" +465,"Belfast Intl","Belfast","United Kingdom","BFS","EGAA",54.6575,-6.215833,268,0,"E","Europe/London" +466,"St Angelo","Enniskillen","United Kingdom","ENK","EGAB",54.398889,-7.651667,155,0,"E","Europe/London" +467,"Belfast City","Belfast","United Kingdom","BHD","EGAC",54.618056,-5.8725,15,0,"E","Europe/London" +468,"City of Derry","Londonderry","United Kingdom","LDY","EGAE",55.042778,-7.161111,22,0,"E","Europe/London" +469,"Birmingham","Birmingham","United Kingdom","BHX","EGBB",52.453856,-1.748028,327,0,"E","Europe/London" +470,"Coventry","Coventry","United Kingdom","CVT","EGBE",52.369722,-1.479722,267,0,"E","Europe/London" +471,"Leicester","Leicester","United Kingdom","","EGBG",52.607778,-1.031944,469,0,"E","Europe/London" +472,"Gloucestershire","Golouchestershire","United Kingdom","GLO","EGBJ",51.894167,-2.167222,101,0,"E","Europe/London" +474,"Wolverhampton","Halfpenny Green","United Kingdom","","EGBO",52.5175,-2.259444,283,0,"E","Europe/London" +475,"Kemble","Pailton","United Kingdom","","EGBP",51.668056,-2.056944,433,0,"E","Europe/London" +476,"Turweston","Turweston","United Kingdom","","EGBT",52.040833,-1.095556,448,0,"E","Europe/London" +477,"Wellesbourne Mountford","Wellesbourne","United Kingdom","","EGBW",52.192222,-1.614444,159,0,"E","Europe/London" +478,"Manchester","Manchester","United Kingdom","MAN","EGCC",53.353744,-2.27495,257,0,"E","Europe/London" +479,"Manchester Woodford","Woodfort","United Kingdom","","EGCD",53.338056,-2.148889,295,0,"E","Europe/London" +480,"Chivenor","Chivenor","United Kingdom","","EGDC",51.087167,-4.150339,27,0,"E","Europe/London" +481,"St Mawgan","Newquai","United Kingdom","NQY","EGDG",50.440558,-4.995408,390,0,"E","Europe/London" +482,"Lyneham","Lyneham","United Kingdom","LYE","EGDL",51.505144,-1.993428,513,0,"E","Europe/London" +483,"Boscombe Down","Boscombe Down","United Kingdom","","EGDM",51.152189,-1.747414,407,0,"E","Europe/London" +484,"Culdrose","Culdrose","United Kingdom","","EGDR",50.086092,-5.255711,267,0,"E","Europe/London" +485,"St Athan","St. Athan","United Kingdom","","EGDX",51.404811,-3.43575,163,0,"E","Europe/London" +486,"Yeovilton","Yeovilton","United Kingdom","YEO","EGDY",51.009358,-2.638819,75,0,"E","Europe/London" +487,"Haverfordwest","Haverfordwest","United Kingdom","","EGFE",51.833056,-4.961111,159,0,"E","Europe/London" +488,"Cardiff","Cardiff","United Kingdom","CWL","EGFF",51.396667,-3.343333,220,0,"E","Europe/London" +489,"Swansea","Swansea","United Kingdom","SWS","EGFH",51.605333,-4.067833,299,0,"E","Europe/London" +490,"Bristol","Bristol","United Kingdom","BRS","EGGD",51.382669,-2.719089,622,0,"E","Europe/London" +491,"Liverpool","Liverpool","United Kingdom","LPL","EGGP",53.333611,-2.849722,80,0,"E","Europe/London" +492,"Luton","London","United Kingdom","LTN","EGGW",51.874722,-0.368333,526,0,"E","Europe/London" +493,"Plymouth","Plymouth","United Kingdom","PLH","EGHD",50.422778,-4.105833,476,0,"E","Europe/London" +494,"Bournemouth","Bournemouth","United Kingdom","BOH","EGHH",50.78,-1.8425,38,0,"E","Europe/London" +495,"Southampton","Southampton","United Kingdom","SOU","EGHI",50.950261,-1.356803,44,0,"E","Europe/London" +496,"Lasham","Lasham","United Kingdom","QLA","EGHL",51.187167,-1.0335,618,0,"E","Europe/London" +497,"Alderney","Alderney","Guernsey","ACI","EGJA",49.706111,-2.214722,290,0,"E","Europe/Guernsey" +498,"Guernsey","Guernsey","Guernsey","GCI","EGJB",49.434956,-2.601969,336,0,"E","Europe/Guernsey" +499,"Jersey","Jersey","Jersey","JER","EGJJ",49.207947,-2.195508,277,0,"E","Europe/Jersey" +500,"Shoreham","Shoreham By Sea","United Kingdom","ESH","EGKA",50.835556,-0.297222,7,0,"E","Europe/London" +501,"Biggin Hill","Biggin Hill","United Kingdom","BQH","EGKB",51.330833,0.0325,598,0,"E","Europe/London" +502,"Gatwick","London","United Kingdom","LGW","EGKK",51.148056,-0.190278,202,0,"E","Europe/London" +503,"City","London","United Kingdom","LCY","EGLC",51.505278,0.055278,19,0,"E","Europe/London" +504,"Farnborough","Farnborough","United Kingdom","FAB","EGLF",51.275833,-0.776333,238,0,"E","Europe/London" +505,"Chalgrove","Chalsgrove","United Kingdom","","EGLJ",51.676111,-1.080833,240,0,"E","Europe/London" +506,"Blackbushe","Blackbushe","United Kingdom","BBS","EGLK",51.323889,-0.8475,325,0,"E","Europe/London" +507,"Heathrow","London","United Kingdom","LHR","EGLL",51.4775,-0.461389,83,0,"E","Europe/London" +508,"Southend","Southend","United Kingdom","SEN","EGMC",51.571389,0.695556,49,0,"E","Europe/London" +509,"Lydd","Lydd","United Kingdom","LYX","EGMD",50.956111,0.939167,13,0,"E","Europe/London" +510,"Manston","Manston","United Kingdom","MSE","EGMH",51.342222,1.346111,178,0,"E","Europe/London" +511,"Brough","Brough","United Kingdom","","EGNB",53.719667,-0.566333,12,0,"E","Europe/London" +512,"Carlisle","Carlisle","United Kingdom","CAX","EGNC",54.9375,-2.809167,190,0,"E","Europe/London" +513,"Gamston","Repton","United Kingdom","","EGNE",53.280556,-0.951389,91,0,"E","Europe/London" +514,"Blackpool","Blackpool","United Kingdom","BLK","EGNH",53.771667,-3.028611,34,0,"E","Europe/London" +515,"Humberside","Humberside","United Kingdom","HUY","EGNJ",53.574444,-0.350833,121,0,"E","Europe/London" +516,"Walney Island","Barrow Island","United Kingdom","BWF","EGNL",54.131167,-3.263667,173,0,"E","Europe/London" +517,"Leeds Bradford","Leeds","United Kingdom","LBA","EGNM",53.865897,-1.660569,681,0,"E","Europe/London" +518,"Warton","Warton","United Kingdom","","EGNO",53.745097,-2.883061,55,0,"E","Europe/London" +519,"Hawarden","Hawarden","United Kingdom","CEG","EGNR",53.178056,-2.977778,45,0,"E","Europe/London" +520,"Isle Of Man","Isle Of Man","Isle of Man","IOM","EGNS",54.083333,-4.623889,52,0,"E","Europe/Isle_of_Man" +521,"Newcastle","Newcastle","United Kingdom","NCL","EGNT",55.0375,-1.691667,266,0,"E","Europe/London" +522,"Durham Tees Valley Airport","Teesside","United Kingdom","MME","EGNV",54.509189,-1.429406,120,0,"E","Europe/London" +523,"Nottingham East Midlands","East Midlands","United Kingdom","EMA","EGNX",52.831111,-1.328056,306,0,"E","Europe/London" +524,"Llanbedr","Llanbedr","United Kingdom","","EGOD",52.811744,-4.123575,30,0,"E","Europe/London" +525,"Ternhill","Ternhill","United Kingdom","","EGOE",52.871164,-2.533561,272,0,"E","Europe/London" +526,"Shawbury","Shawbury","United Kingdom","","EGOS",52.798169,-2.668042,249,0,"E","Europe/London" +528,"Woodvale","Woodvale","United Kingdom","","EGOW",53.581575,-3.055522,37,0,"E","Europe/London" +529,"Kirkwall","Kirkwall","United Kingdom","KOI","EGPA",58.957778,-2.905,50,0,"E","Europe/London" +530,"Sumburgh","Sumburgh","United Kingdom","LSI","EGPB",59.878889,-1.295556,20,0,"E","Europe/London" +531,"Wick","Wick","United Kingdom","WIC","EGPC",58.458889,-3.093056,126,0,"E","Europe/London" +532,"Dyce","Aberdeen","United Kingdom","ABZ","EGPD",57.201944,-2.197778,215,0,"E","Europe/London" +533,"Inverness","Inverness","United Kingdom","INV","EGPE",57.5425,-4.0475,31,0,"E","Europe/London" +534,"Glasgow","Glasgow","United Kingdom","GLA","EGPF",55.871944,-4.433056,26,0,"E","Europe/London" +535,"Edinburgh","Edinburgh","United Kingdom","EDI","EGPH",55.95,-3.3725,135,0,"E","Europe/London" +536,"Islay","Islay","United Kingdom","ILY","EGPI",55.681944,-6.256667,56,0,"E","Europe/London" +537,"Prestwick","Prestwick","United Kingdom","PIK","EGPK",55.509444,-4.586667,65,0,"E","Europe/London" +538,"Benbecula","Benbecula","United Kingdom","BEB","EGPL",57.481111,-7.362778,19,0,"E","Europe/London" +539,"Scatsta","Scatsta","United Kingdom","SDZ","EGPM",60.432778,-1.296111,81,0,"E","Europe/London" +540,"Dundee","Dundee","United Kingdom","DND","EGPN",56.452499,-3.025833,17,0,"E","Europe/London" +541,"Stornoway","Stornoway","United Kingdom","SYY","EGPO",58.215556,-6.331111,26,0,"E","Europe/London" +542,"Tiree","Tiree","United Kingdom","TRE","EGPU",56.499167,-6.869167,38,0,"E","Europe/London" +543,"Leuchars","Leuchars","United Kingdom","ADX","EGQL",56.372889,-2.868444,38,0,"E","Europe/London" +544,"Lossiemouth","Lossiemouth","United Kingdom","LMO","EGQS",57.705214,-3.339169,42,0,"E","Europe/London" +545,"Cambridge","Cambridge","United Kingdom","CBG","EGSC",52.205,0.175,47,0,"E","Europe/London" +546,"Conington","Peterborough","United Kingdom","","EGSF",52.468056,-0.251111,26,0,"E","Europe/London" +547,"Norwich","Norwich","United Kingdom","NWI","EGSH",52.675833,1.282778,117,0,"E","Europe/London" +548,"Stansted","London","United Kingdom","STN","EGSS",51.885,0.235,348,0,"E","Europe/London" +549,"North Weald","North Weald","United Kingdom","","EGSX",51.721667,0.154167,321,0,"E","Europe/London" +550,"Sheffield City","Fowlmere","United Kingdom","","EGSY",53.394256,-1.388486,231,0,"E","Europe/London" +551,"Cranfield","Cranfield","United Kingdom","","EGTC",52.072222,-0.616667,358,0,"E","Europe/London" +552,"Exeter","Exeter","United Kingdom","EXT","EGTE",50.734444,-3.413889,102,0,"E","Europe/London" +553,"Bristol Filton","Bristol","United Kingdom","FZO","EGTG",51.519444,-2.590833,226,0,"E","Europe/London" +554,"Kidlington","Oxford","United Kingdom","OXF","EGTK",51.836944,-1.32,270,0,"E","Europe/London" +555,"Benson","Benson","United Kingdom","","EGUB",51.616389,-1.095833,226,0,"E","Europe/London" +556,"Lakenheath","Lakenheath","United Kingdom","","EGUL",52.409333,0.561,32,0,"E","Europe/London" +557,"Mildenhall","Mildenhall","United Kingdom","MHZ","EGUN",52.361933,0.486406,33,0,"E","Europe/London" +558,"Wattisham","Wattisham","United Kingdom","","EGUW",52.127283,0.956264,284,0,"E","Europe/London" +559,"Wyton","Wyton","United Kingdom","","EGUY",52.357167,-0.107833,135,0,"E","Europe/London" +560,"Fairford","Fairford","United Kingdom","FFD","EGVA",51.682167,-1.790028,286,0,"E","Europe/London" +561,"Brize Norton","Brize Norton","United Kingdom","BZZ","EGVN",51.749964,-1.583617,288,0,"E","Europe/London" +562,"Odiham","Odiham","United Kingdom","ODH","EGVO",51.234139,-0.942825,405,0,"E","Europe/London" +563,"Cosford","Cosford","United Kingdom","","EGWC",52.640028,-2.305578,272,0,"E","Europe/London" +564,"Northolt","Northolt","United Kingdom","NHT","EGWU",51.553,-0.418167,124,0,"E","Europe/London" +565,"Coningsby","Coningsby","United Kingdom","QCY","EGXC",53.093014,-0.166014,25,0,"E","Europe/London" +566,"Dishforth","Dishforth","United Kingdom","","EGXD",54.137186,-1.420253,117,0,"E","Europe/London" +567,"Leeming","Leeming","United Kingdom","","EGXE",54.292383,-1.5354,132,0,"E","Europe/London" +568,"Church Fenton","Church Fenton","United Kingdom","","EGXG",53.834333,-1.1955,29,0,"E","Europe/London" +569,"Honington","Honington","United Kingdom","BEQ","EGXH",52.342611,0.772939,174,0,"E","Europe/London" +570,"Cottesmore","Cottesmore","United Kingdom","","EGXJ",52.735711,-0.648769,461,0,"E","Europe/London" +571,"Scampton","Scampton","United Kingdom","","EGXP",53.307778,-0.550833,202,0,"E","Europe/London" +572,"Wittering","Wittering","United Kingdom","","EGXT",52.612558,-0.476453,273,0,"E","Europe/London" +573,"Linton On Ouse","Linton-on-ouse","United Kingdom","","EGXU",54.048911,-1.252747,53,0,"E","Europe/London" +574,"Waddington","Waddington","United Kingdom","WTN","EGXW",53.166167,-0.523811,231,0,"E","Europe/London" +575,"Topcliffe","Topcliffe","United Kingdom","","EGXZ",54.205522,-1.382094,92,0,"E","Europe/London" +576,"Cranwell","Cranwell","United Kingdom","","EGYD",53.03035,-0.483242,218,0,"E","Europe/London" +577,"Barkston Heath","Barkston Heath","United Kingdom","","EGYE",52.962225,-0.561625,367,0,"E","Europe/London" +578,"Marham","Marham","United Kingdom","KNF","EGYM",52.648353,0.550692,75,0,"E","Europe/London" +579,"Mount Pleasant","Mount Pleasant","Falkland Islands","MPN","EGYP",-51.822777,-58.447222,244,-3,"U","Atlantic/Stanley" +580,"Schiphol","Amsterdam","Netherlands","AMS","EHAM",52.308613,4.763889,-11,1,"E","Europe/Amsterdam" +581,"Budel","Weert","Netherlands","","EHBD",51.25528,5.601389,114,1,"E","Europe/Amsterdam" +582,"Maastricht","Maastricht","Netherlands","MST","EHBK",50.911658,5.770144,375,1,"E","Europe/Amsterdam" +583,"Deelen","Deelen","Netherlands","","EHDL",52.060556,5.873056,158,1,"E","Europe/Amsterdam" +584,"Drachten","Drachten","Netherlands","","EHDR",53.119167,6.129722,14,1,"E","Europe/Amsterdam" +585,"Eindhoven","Eindhoven","Netherlands","EIN","EHEH",51.450139,5.374528,74,1,"E","Europe/Amsterdam" +586,"Eelde","Groningen","Netherlands","GRQ","EHGG",53.11972,6.579444,17,1,"E","Europe/Amsterdam" +587,"Gilze Rijen","Gilze-rijen","Netherlands","","EHGR",51.567389,4.931833,49,1,"E","Europe/Amsterdam" +588,"De Kooy","De Kooy","Netherlands","DHR","EHKD",52.923353,4.780625,3,1,"E","Europe/Amsterdam" +589,"Lelystad","Lelystad","Netherlands","","EHLE",52.460278,5.527222,-13,1,"E","Europe/Amsterdam" +590,"Leeuwarden","Leeuwarden","Netherlands","LWR","EHLW",53.228611,5.760556,3,1,"E","Europe/Amsterdam" +591,"Rotterdam","Rotterdam","Netherlands","RTM","EHRD",51.956944,4.437222,-15,1,"E","Europe/Amsterdam" +592,"Soesterberg","Soesterberg","Netherlands","UTC","EHSB",52.1273,5.27619,66,1,"E","Europe/Amsterdam" +593,"Twenthe","Enschede","Netherlands","ENS","EHTW",52.27,6.874167,114,1,"E","Europe/Amsterdam" +594,"Valkenburg","Valkenburg","Netherlands","LID","EHVB",52.166139,4.417944,0,1,"E","Europe/Amsterdam" +595,"Woensdrecht","Woensdrecht","Netherlands","WOE","EHWO",51.449092,4.342031,63,1,"E","Europe/Amsterdam" +596,"Cork","Cork","Ireland","ORK","EICK",51.841269,-8.491111,502,0,"E","Europe/Dublin" +597,"Galway","Galway","Ireland","GWY","EICM",53.300175,-8.941592,81,0,"E","Europe/Dublin" +599,"Dublin","Dublin","Ireland","DUB","EIDW",53.421333,-6.270075,242,0,"E","Europe/Dublin" +600,"Ireland West Knock","Connaught","Ireland","NOC","EIKN",53.910297,-8.818492,665,0,"E","Europe/Dublin" +601,"Kerry","Kerry","Ireland","KIR","EIKY",52.180878,-9.523783,112,0,"E","Europe/Dublin" +602,"Casement","Casement","Ireland","","EIME",53.301667,-6.451333,319,0,"E","Europe/Dublin" +603,"Shannon","Shannon","Ireland","SNN","EINN",52.701978,-8.924817,46,0,"E","Europe/Dublin" +604,"Sligo","Sligo","Ireland","SXL","EISG",54.280214,-8.599206,11,0,"E","Europe/Dublin" +605,"Waterford","Waterford","Ireland","WAT","EIWF",52.1872,-7.086964,119,0,"E","Europe/Dublin" +607,"Aarhus","Aarhus","Denmark","AAR","EKAH",56.300017,10.619008,82,1,"E","Europe/Copenhagen" +608,"Billund","Billund","Denmark","BLL","EKBI",55.740322,9.151778,247,1,"E","Europe/Copenhagen" +609,"Kastrup","Copenhagen","Denmark","CPH","EKCH",55.617917,12.655972,17,1,"E","Europe/Copenhagen" +610,"Esbjerg","Esbjerg","Denmark","EBJ","EKEB",55.525942,8.553403,97,1,"E","Europe/Copenhagen" +611,"Gronholt Hillerod","Gronholt","Denmark","","EKGH",55.941387,12.382222,97,1,"E","Europe/Copenhagen" +612,"Karup","Karup","Denmark","KRP","EKKA",56.297458,9.124628,170,1,"E","Europe/Copenhagen" +613,"Laeso","Laeso","Denmark","","EKLS",57.277228,11.000083,25,1,"E","Europe/Copenhagen" +614,"Lolland Falster Maribo","Maribo","Denmark","","EKMB",54.699344,11.440117,16,1,"E","Europe/Copenhagen" +615,"Odense","Odense","Denmark","ODE","EKOD",55.476664,10.330933,56,1,"E","Europe/Copenhagen" +616,"Krusa Padborg","Krusa-padborg","Denmark","","EKPB",54.870306,9.279014,88,1,"E","Europe/Copenhagen" +617,"Roskilde","Copenhagen","Denmark","RKE","EKRK",55.585567,12.131428,146,1,"E","Europe/Copenhagen" +618,"Bornholm Ronne","Ronne","Denmark","RNN","EKRN",55.063267,14.759558,52,1,"E","Europe/Copenhagen" +619,"Sonderborg","Soenderborg","Denmark","SGD","EKSB",54.964367,9.791731,24,1,"E","Europe/Copenhagen" +621,"Skrydstrup","Skrydstrup","Denmark","SKS","EKSP",55.225553,9.263931,141,1,"E","Europe/Copenhagen" +622,"Skive","Skive","Denmark","","EKSV",56.550208,9.172983,74,1,"E","Europe/Copenhagen" +623,"Thisted","Thisted","Denmark","TED","EKTS",57.0688,8.705225,23,1,"E","Europe/Copenhagen" +624,"Kolding Vamdrup","Kolding","Denmark","","EKVD",55.436283,9.330925,143,1,"E","Europe/Copenhagen" +625,"Vagar","Vagar","Faroe Islands","FAE","EKVG",62.063628,-7.277219,280,0,"E","Atlantic/Faeroe" +626,"Aars","Vesthimmerland","Denmark","","EKVH",56.846944,9.458611,119,1,"E","Europe/Copenhagen" +627,"Stauning","Stauning","Denmark","STA","EKVJ",55.990122,8.353906,17,1,"E","Europe/Copenhagen" +628,"Aalborg","Aalborg","Denmark","AAL","EKYT",57.092789,9.849164,10,1,"E","Europe/Copenhagen" +629,"Luxembourg","Luxemburg","Luxembourg","LUX","ELLX",49.626575,6.211517,1234,1,"E","Europe/Luxembourg" +630,"Vigra","Alesund","Norway","AES","ENAL",62.560372,6.110164,69,1,"E","Europe/Oslo" +631,"Andenes","Andoya","Norway","ANX","ENAN",69.2925,16.144167,43,1,"E","Europe/Oslo" +632,"Alta","Alta","Norway","ALF","ENAT",69.976111,23.371667,9,1,"E","Europe/Oslo" +633,"Bomoen","Voss","Norway","","ENBM",60.63885,6.501497,300,1,"E","Europe/Oslo" +634,"Bronnoy","Bronnoysund","Norway","BNN","ENBN",65.461111,12.2175,25,1,"E","Europe/Oslo" +635,"Bodo","Bodo","Norway","BOO","ENBO",67.269167,14.365278,42,1,"E","Europe/Oslo" +636,"Flesland","Bergen","Norway","BGO","ENBR",60.293386,5.218142,170,1,"E","Europe/Oslo" +637,"Batsfjord","Batsfjord","Norway","BJF","ENBS",70.600278,29.6925,490,1,"E","Europe/Oslo" +638,"Kjevik","Kristiansand","Norway","KRS","ENCN",58.204214,8.085369,57,1,"E","Europe/Oslo" +639,"Dagali","Geilo","Norway","","ENDI",60.416667,8.512778,2618,1,"E","Europe/Oslo" +640,"Bardufoss","Bardufoss","Norway","BDU","ENDU",69.055758,18.540356,252,1,"E","Europe/Oslo" +641,"Evenes","Harstad/Narvik","Norway","EVE","ENEV",68.4913,16.678108,84,1,"E","Europe/Oslo" +642,"Leirin","Fagernes","Norway","VDB","ENFG",61.015556,9.288056,2697,1,"E","Europe/Oslo" +643,"Floro","Floro","Norway","FRO","ENFL",61.583611,5.024722,37,1,"E","Europe/Oslo" +644,"Gardermoen","Oslo","Norway","OSL","ENGM",60.193917,11.100361,681,1,"E","Europe/Oslo" +645,"Karmoy","Haugesund","Norway","HAU","ENHD",59.345267,5.208364,86,1,"E","Europe/Oslo" +646,"Hasvik","Hasvik","Norway","HAA","ENHK",70.486675,22.139744,21,1,"E","Europe/Oslo" +647,"Kvernberget","Kristiansund","Norway","KSU","ENKB",63.111781,7.824522,204,1,"E","Europe/Oslo" +648,"Kjeller","Kjeller","Norway","","ENKJ",59.969336,11.036089,354,1,"E","Europe/Oslo" +649,"Hoybuktmoen","Kirkenes","Norway","KKN","ENKR",69.725781,29.891295,283,1,"E","Europe/Oslo" +650,"Lista","Farsund","Norway","FAN","ENLI",58.099486,6.62605,29,1,"E","Europe/Oslo" +651,"Aro","Molde","Norway","MOL","ENML",62.744722,7.2625,10,1,"E","Europe/Oslo" +652,"Kjaerstad","Mosjoen","Norway","MJF","ENMS",65.783997,13.214914,237,1,"E","Europe/Oslo" +653,"Banak","Lakselv","Norway","LKL","ENNA",70.068814,24.973489,25,1,"E","Europe/Oslo" +654,"Notodden","Notodden","Norway","NTB","ENNO",59.565683,9.212222,63,1,"E","Europe/Oslo" +655,"Orland","Orland","Norway","OLA","ENOL",63.698908,9.604003,28,1,"E","Europe/Oslo" +656,"Roros","Roros","Norway","RRS","ENRO",62.578411,11.342347,2054,1,"E","Europe/Oslo" +657,"Moss","Rygge","Norway","RYG","ENRY",59.378933,10.785389,174,1,"E","Europe/Oslo" +658,"Longyear","Svalbard","Norway","LYR","ENSB",78.246111,15.465556,88,1,"E","Arctic/Longyearbyen" +659,"Geiteryggen","Skien","Norway","SKE","ENSN",59.185,9.566944,463,1,"E","Europe/Oslo" +660,"Sorstokken","Stord","Norway","SRP","ENSO",59.791925,5.34085,160,1,"E","Europe/Oslo" +662,"Stokka","Sandnessjoen","Norway","SSJ","ENST",65.956828,12.468944,56,1,"E","Europe/Oslo" +663,"Langnes","Tromso","Norway","TOS","ENTC",69.683333,18.918919,31,1,"E","Europe/Oslo" +664,"Torp","Sandefjord","Norway","TRF","ENTO",59.186703,10.258628,286,1,"E","Europe/Oslo" +665,"Vaernes","Trondheim","Norway","TRD","ENVA",63.457556,10.92425,56,1,"E","Europe/Oslo" +666,"Sola","Stavanger","Norway","SVG","ENZV",58.876778,5.637856,29,1,"E","Europe/Oslo" +667,"Babice","Warsaw","Poland","","EPBC",52.268494,20.911047,352,1,"E","Europe/Warsaw" +668,"Lech Walesa","Gdansk","Poland","GDN","EPGD",54.377569,18.466222,489,1,"E","Europe/Warsaw" +669,"Balice","Krakow","Poland","KRK","EPKK",50.077731,19.784836,791,1,"E","Europe/Warsaw" +670,"Muchowiec","Katowice","Poland","","EPKM",50.238147,19.034181,909,1,"E","Europe/Warsaw" +671,"Pyrzowice","Katowice","Poland","KTW","EPKT",50.474253,19.080019,995,1,"E","Europe/Warsaw" +673,"Mielec","Mielec","Poland","","EPML",50.322275,21.462131,548,1,"E","Europe/Warsaw" +674,"Lawica","Poznan","Poland","POZ","EPPO",52.421031,16.826325,308,1,"E","Europe/Warsaw" +675,"Jasionka","Rzeszow","Poland","RZE","EPRZ",50.109958,22.019,675,1,"E","Europe/Warsaw" +676,"Goleniow","Szczecin","Poland","SZZ","EPSC",53.584731,14.902206,154,1,"E","Europe/Warsaw" +677,"Redzikowo","Slupsk","Poland","OSP","EPSK",54.478889,17.1075,217,1,"E","Europe/Warsaw" +678,"Swidwin","Shapaja","Poland","","EPSN",53.790639,15.82625,385,1,"E","Europe/Warsaw" +679,"Okecie","Warsaw","Poland","WAW","EPWA",52.16575,20.967122,362,1,"E","Europe/Warsaw" +680,"Strachowice","Wroclaw","Poland","WRO","EPWR",51.102683,16.885836,404,1,"E","Europe/Warsaw" +681,"Babimost","Zielona Gora","Poland","IEG","EPZG",52.138517,15.798556,194,1,"E","Europe/Warsaw" +682,"Malmen","Linkoeping","Sweden","","ESCF",58.402278,15.525683,308,1,"E","Europe/Stockholm" +683,"Bravalla","Norrkoeping","Sweden","","ESCK",58.610867,16.103592,90,1,"E","Europe/Stockholm" +684,"Uppsala","Uppsala","Sweden","","ESCM",59.897328,17.588581,68,1,"E","Europe/Stockholm" +685,"Ronneby","Ronneby","Sweden","RNB","ESDF",56.266667,15.265,191,1,"E","Europe/Stockholm" +686,"Rada","Rada","Sweden","","ESFR",58.498136,13.053231,230,1,"E","Europe/Stockholm" +687,"Landvetter","Gothenborg","Sweden","GOT","ESGG",57.662836,12.279819,506,1,"E","Europe/Stockholm" +688,"Jonkoping","Joenkoeping","Sweden","JKG","ESGJ",57.757594,14.068731,741,1,"E","Europe/Stockholm" +689,"Falkoping","Falkoping","Sweden","","ESGK",58.169794,13.587847,785,1,"E","Europe/Stockholm" +690,"Lidkoping","Lidkoping","Sweden","LDK","ESGL",58.465522,13.174414,200,1,"E","Europe/Stockholm" +691,"Save","Gothenborg","Sweden","GSE","ESGP",57.774722,11.870372,59,1,"E","Europe/Stockholm" +692,"Skovde","Skovde","Sweden","KVB","ESGR",58.4564,13.972672,324,1,"E","Europe/Stockholm" +693,"Trollhattan Vanersborg","Trollhattan","Sweden","THN","ESGT",58.318056,12.345,137,1,"E","Europe/Stockholm" +694,"Karlsborg","Karlsborg","Sweden","","ESIA",58.513842,14.507119,308,1,"E","Europe/Stockholm" +695,"Satenas","Satenas","Sweden","","ESIB",58.426445,12.714389,181,1,"E","Europe/Stockholm" +696,"Barkarby","Stockholm","Sweden","","ESKB",59.418694,17.890694,50,1,"E","Europe/Stockholm" +697,"Karlskoga","Karlskoga","Sweden","KSK","ESKK",59.345867,14.495922,400,1,"E","Europe/Stockholm" +698,"Mora","Mora","Sweden","MXX","ESKM",60.957908,14.511383,634,1,"E","Europe/Stockholm" +699,"Skavsta","Stockholm","Sweden","NYO","ESKN",58.788636,16.912189,140,1,"E","Europe/Stockholm" +700,"Arvika","Arvika","Sweden","","ESKV",59.675856,12.639442,237,1,"E","Europe/Stockholm" +701,"Emmaboda","Emmaboda","Sweden","","ESMA",56.610761,15.604761,442,1,"E","Europe/Stockholm" +702,"Feringe","Ljungby","Sweden","","ESMG",56.950278,13.921667,538,1,"E","Europe/Stockholm" +703,"Kristianstad","Kristianstad","Sweden","KID","ESMK",55.921686,14.085536,76,1,"E","Europe/Stockholm" +704,"Landskrona","Landskrona","Sweden","JLD","ESML",55.944444,12.869444,194,1,"E","Europe/Stockholm" +705,"Oskarshamn","Oskarshamn","Sweden","OSK","ESMO",57.350453,16.497972,96,1,"E","Europe/Stockholm" +706,"Anderstorp","Anderstorp","Sweden","","ESMP",57.264167,13.599439,507,1,"E","Europe/Stockholm" +707,"Kalmar","Kalkmar","Sweden","KLR","ESMQ",56.685531,16.287578,17,1,"E","Europe/Stockholm" +708,"Sturup","Malmoe","Sweden","MMX","ESMS",55.530193,13.371639,236,1,"E","Europe/Stockholm" +709,"Halmstad","Halmstad","Sweden","HAD","ESMT",56.691128,12.820211,101,1,"E","Europe/Stockholm" +710,"Hagshult","Hagshult","Sweden","","ESMV",57.292222,14.137222,556,1,"E","Europe/Stockholm" +711,"Kronoberg","Vaxjo","Sweden","VXO","ESMX",56.929144,14.727994,610,1,"E","Europe/Stockholm" +712,"Hallviken","Hallviken","Sweden","","ESNA",63.738333,15.458333,1119,1,"E","Europe/Stockholm" +713,"Hedlanda","Hede","Sweden","","ESNC",62.408889,13.747222,1460,1,"E","Europe/Stockholm" +714,"Sveg","Sveg","Sweden","EVG","ESND",62.047811,14.42295,1178,1,"E","Europe/Stockholm" +715,"Gallivare","Gallivare","Sweden","GEV","ESNG",67.132408,20.814636,1027,1,"E","Europe/Stockholm" +716,"Hudiksvall","Hudiksvall","Sweden","HUV","ESNH",61.768092,17.080719,95,1,"E","Europe/Stockholm" +717,"Jokkmokk","Jokkmokk","Sweden","","ESNJ",66.496236,20.147181,904,1,"E","Europe/Stockholm" +718,"Kramfors Solleftea","Kramfors","Sweden","KRF","ESNK",63.048597,17.768856,34,1,"E","Europe/Stockholm" +719,"Lycksele","Lycksele","Sweden","LYC","ESNL",64.548322,18.716219,705,1,"E","Europe/Stockholm" +720,"Optand","Optand","Sweden","","ESNM",63.128611,14.802778,1236,1,"E","Europe/Stockholm" +721,"Sundsvall Harnosand","Sundsvall","Sweden","SDL","ESNN",62.528125,17.443928,16,1,"E","Europe/Stockholm" +722,"Ornskoldsvik","Ornskoldsvik","Sweden","OER","ESNO",63.408339,18.990039,354,1,"E","Europe/Stockholm" +723,"Pitea","Pitea","Sweden","","ESNP",65.398333,21.260833,43,1,"E","Europe/Stockholm" +724,"Kiruna","Kiruna","Sweden","KRN","ESNQ",67.821986,20.336764,1508,1,"E","Europe/Stockholm" +725,"Orsa","Orsa","Sweden","","ESNR",61.190033,14.712567,683,1,"E","Europe/Stockholm" +726,"Skelleftea","Skelleftea","Sweden","SFT","ESNS",64.624772,21.076892,157,1,"E","Europe/Stockholm" +727,"Sattna","Sattna","Sweden","","ESNT",62.481369,17.002917,886,1,"E","Europe/Stockholm" +728,"Umea","Umea","Sweden","UME","ESNU",63.791828,20.282758,24,1,"E","Europe/Stockholm" +729,"Vilhelmina","Vilhelmina","Sweden","VHM","ESNV",64.579083,16.833575,1140,1,"E","Europe/Stockholm" +730,"Arvidsjaur","Arvidsjaur","Sweden","AJR","ESNX",65.590278,19.281944,1245,1,"E","Europe/Stockholm" +731,"Orebro","Orebro","Sweden","ORB","ESOE",59.223733,15.037956,188,1,"E","Europe/Stockholm" +733,"Vasteras","Vasteras","Sweden","VST","ESOW",59.589444,16.633611,21,1,"E","Europe/Stockholm" +734,"Kallax","Lulea","Sweden","LLA","ESPA",65.543758,22.121989,65,1,"E","Europe/Stockholm" +735,"Vidsel","Vidsel","Sweden","","ESPE",65.875325,20.149917,597,1,"E","Europe/Stockholm" +736,"Arboga","Arboga","Sweden","","ESQO",59.386585,15.924055,33,1,"E","Europe/Stockholm" +737,"Arlanda","Stockholm","Sweden","ARN","ESSA",59.651944,17.918611,137,1,"E","Europe/Stockholm" +738,"Bromma","Stockholm","Sweden","BMA","ESSB",59.354372,17.94165,47,1,"E","Europe/Stockholm" +739,"Borlange","Borlange","Sweden","BLE","ESSD",60.422017,15.515211,503,1,"E","Europe/Stockholm" +740,"Hultsfred","Hultsfred","Sweden","HLF","ESSF",57.525833,15.823333,366,1,"E","Europe/Stockholm" +741,"Gavle","Gavle","Sweden","GVX","ESSK",60.593333,16.951389,224,1,"E","Europe/Stockholm" +742,"Saab","Linkoeping","Sweden","LPI","ESSL",58.40615,15.680508,172,1,"E","Europe/Stockholm" +743,"Kungsangen","Norrkoeping","Sweden","NRK","ESSP",58.586253,16.250622,32,1,"E","Europe/Stockholm" +745,"Eskilstuna","Eskilstuna","Sweden","","ESSU",59.351078,16.7084,139,1,"E","Europe/Stockholm" +746,"Visby","Visby","Sweden","VBY","ESSV",57.662797,18.346211,164,1,"E","Europe/Stockholm" +748,"Kalixfors","Kalixfors","Sweden","","ESUK",67.764789,20.257228,1549,1,"E","Europe/Stockholm" +750,"Spangdahlem Ab","Spangdahlem","Germany","SPM","ETAD",49.972667,6.6925,1197,1,"E","Europe/Berlin" +751,"Ramstein Ab","Ramstein","Germany","RMS","ETAR",49.436911,7.600283,776,1,"E","Europe/Berlin" +752,"Bamberg Aaf","Bamberg","Germany","","ETEJ",49.920433,10.914233,823,1,"E","Europe/Berlin" +753,"Giebelstadt Aaf","Giebelstadt","Germany","GHF","ETEU",49.648131,9.966494,980,1,"E","Europe/Berlin" +754,"Buckeburg","Brueckeburg","Germany","","ETHB",52.2785,9.082167,230,1,"E","Europe/Berlin" +755,"Celle","Celle","Germany","ZCN","ETHC",52.5912,10.022133,129,1,"E","Europe/Berlin" +756,"Rheine Bentlage","Rheine-brentlange","Germany","","ETHE",52.291167,7.387,129,1,"E","Europe/Berlin" +757,"Fritzlar","Fritzlar","Germany","","ETHF",51.1145,9.285833,566,1,"E","Europe/Berlin" +758,"Laupheim","Laupheim","Germany","","ETHL",48.220297,9.910019,1766,1,"E","Europe/Berlin" +759,"Mendig","Mendig","Germany","","ETHM",50.366,7.315333,597,1,"E","Europe/Berlin" +760,"Niederstetten","Niederstetten","Germany","","ETHN",49.391833,9.958167,1536,1,"E","Europe/Berlin" +761,"Roth","Roth","Germany","","ETHR",49.2175,11.100167,1268,1,"E","Europe/Berlin" +762,"Fassberg","Fassberg","Germany","","ETHS",52.919406,10.197528,245,1,"E","Europe/Berlin" +763,"Grafenwohr Aaf","Grafenwoehr","Germany","","ETIC",49.698686,11.940175,1363,1,"E","Europe/Berlin" +764,"Hanau Aaf","Hanau","Germany","ZNF","ETID",50.169189,8.961586,368,1,"E","Europe/Berlin" +765,"Hohenfels Aaf","Hohenfels","Germany","","ETIH",49.218056,11.836111,1455,1,"E","Europe/Berlin" +766,"Kitzingen Aaf","Kitzingen","Germany","","ETIN",49.743057,10.200556,689,1,"E","Europe/Berlin" +767,"Nordholz","Nordholz","Germany","","ETMN",53.767667,8.6585,74,1,"E","Europe/Berlin" +768,"Diepholz","Diepholz","Germany","","ETND",52.585514,8.341014,127,1,"E","Europe/Berlin" +769,"Geilenkirchen","Geilenkirchen","Germany","GKE","ETNG",50.960817,6.042422,296,1,"E","Europe/Berlin" +770,"Hohn","Hohn","Germany","","ETNH",54.312167,9.538167,39,1,"E","Europe/Berlin" +771,"Jever","Jever","Germany","","ETNJ",53.5335,7.888667,24,1,"E","Europe/Berlin" +772,"Laage","Laage","Germany","RLG","ETNL",53.918167,12.278333,138,1,"E","Europe/Berlin" +773,"Norvenich","Noervenich","Germany","","ETNN",50.831167,6.658167,386,1,"E","Europe/Berlin" +774,"Schleswig","Schleswig","Germany","","ETNS",54.459333,9.516333,70,1,"E","Europe/Berlin" +775,"Wittmundhafen","Wittmundhafen","Germany","","ETNT",53.547833,7.667333,26,1,"E","Europe/Berlin" +776,"Neubrandenburg","Neubrandenburg","Germany","","ETNU",53.602167,13.306,228,1,"E","Europe/Berlin" +777,"Wunstorf","Wunstorf","Germany","","ETNW",52.457333,9.427167,187,1,"E","Europe/Berlin" +778,"Vilseck Aaf","Vilseck","Germany","","ETOI",49.63361,11.767222,1353,1,"E","Europe/Berlin" +779,"Coleman Aaf","Coleman","Germany","","ETOR",49.563569,8.463392,309,1,"E","Europe/Berlin" +780,"Wiesbaden Aaf","Wiesbaden","Germany","","ETOU",50.049819,8.325397,461,1,"E","Europe/Berlin" +781,"Landsberg Lech","Landsberg","Germany","","ETSA",48.0705,10.906,2044,1,"E","Europe/Berlin" +782,"Buchel","Buechel","Germany","","ETSB",50.173833,7.063333,1568,1,"E","Europe/Berlin" +783,"Erding","Erding","Germany","","ETSE",48.322333,11.948667,1515,1,"E","Europe/Berlin" +784,"Furstenfeldbruck","Fuerstenfeldbruck","Germany","FEL","ETSF",48.205667,11.267,1703,1,"E","Europe/Berlin" +785,"Holzdorf","Holzdorf","Germany","","ETSH",51.767833,13.167667,265,1,"E","Europe/Berlin" +786,"Ingolstadt Manching","Ingolstadt","Germany","","ETSI",48.715667,11.534,1202,1,"E","Europe/Berlin" +787,"Lechfeld","Lechfeld","Germany","","ETSL",48.1855,10.861167,1822,1,"E","Europe/Berlin" +788,"Neuburg","Neuburg","Germany","","ETSN",48.711,11.2115,1249,1,"E","Europe/Berlin" +789,"Gutersloh","Guetersloh","Germany","GUT","ETUO",51.922833,8.306333,236,1,"E","Europe/Berlin" +790,"Alexander Bay","Alexander Bay","South Africa","ALJ","FAAB",-28.575001,16.533333,98,2,"U","Africa/Johannesburg" +791,"Aggeneys","Aggeneys","South Africa","AGZ","FAAG",-29.281767,18.813869,2648,2,"U","Africa/Johannesburg" +792,"Brakpan","Brakpan","South Africa","","FABB",-26.23865,28.301769,5300,2,"U","Africa/Johannesburg" +793,"Bhisho","Bisho","South Africa","BIY","FABE",-32.89715,27.279111,1950,2,"U","Africa/Johannesburg" +794,"Bloemfontein Intl","Bloemfontein","South Africa","BFN","FABL",-29.092722,26.302444,4458,2,"U","Africa/Johannesburg" +795,"Bethlehem","Bethlehem","South Africa","","FABM",-28.248392,28.336125,5561,2,"U","Africa/Johannesburg" +796,"Bothaville","Bothaville","South Africa","","FABO",-27.366769,26.629194,4236,2,"U","Africa/Johannesburg" +797,"Cape Town Intl","Cape Town","South Africa","CPT","FACT",-33.964806,18.601667,151,2,"U","Africa/Johannesburg" +798,"Calvinia","Calvinia","South Africa","","FACV",-31.500278,19.725897,3250,2,"U","Africa/Johannesburg" +799,"Durban Intl","Durban","South Africa","DUR","FADN",-29.970089,30.950519,33,2,"U","Africa/Johannesburg" +800,"East London","East London","South Africa","ELS","FAEL",-33.035569,27.825939,435,2,"U","Africa/Johannesburg" +801,"Ermelo","Ermelo","South Africa","","FAEO",-26.495644,29.979764,5700,2,"U","Africa/Johannesburg" +802,"Ficksburg Sentraoes","Ficksburg","South Africa","","FAFB",-28.823119,27.9089,5315,2,"U","Africa/Johannesburg" +803,"Grand Central","Johannesburg","South Africa","GCJ","FAGC",-25.986267,28.140061,5325,2,"U","Africa/Johannesburg" +804,"George","George","South Africa","GRJ","FAGG",-34.005553,22.378889,648,2,"U","Africa/Johannesburg" +806,"Graaff Reinet","Graaff Reinet","South Africa","","FAGR",-32.193611,24.541389,2604,2,"U","Africa/Johannesburg" +807,"Grahamstown","Grahamstown","South Africa","","FAGT",-33.284721,26.498083,2135,2,"U","Africa/Johannesburg" +808,"Greytown","Greytown","South Africa","","FAGY",-29.122011,30.586706,3531,2,"U","Africa/Johannesburg" +809,"Harmony","Harmony","South Africa","","FAHA",-28.078694,26.861178,4399,2,"U","Africa/Johannesburg" +810,"Harrismith","Harrismith","South Africa","","FAHR",-28.235072,29.106206,5585,2,"U","Africa/Johannesburg" +811,"Hoedspruit Afb","Hoedspruit","South Africa","HDS","FAHS",-24.368642,31.048744,1743,2,"U","Africa/Johannesburg" +812,"Gariep Dam","Hendrik Verwoerddam","South Africa","","FAHV",-30.562164,25.528286,4176,2,"U","Africa/Johannesburg" +813,"Johannesburg Intl","Johannesburg","South Africa","JNB","FAJS",-26.139166,28.246,5558,2,"U","Africa/Johannesburg" +814,"P C Pelser","Klerksdorp","South Africa","","FAKD",-26.871064,26.718003,4444,2,"U","Africa/Johannesburg" +815,"Kimberley","Kimberley","South Africa","KIM","FAKM",-28.802834,24.765167,3950,2,"U","Africa/Johannesburg" +816,"Krugersdorp","Krugersdorp","South Africa","","FAKR",-26.080978,27.725667,5499,2,"U","Africa/Johannesburg" +817,"Kroonstad","Kroonstad","South Africa","","FAKS",-27.660617,27.315761,4700,2,"U","Africa/Johannesburg" +818,"Johan Pienaar","Kuruman","South Africa","","FAKU",-27.456667,23.411388,4382,2,"U","Africa/Johannesburg" +819,"Kleinsee","Kleinsee","South Africa","KLZ","FAKZ",-29.688403,17.094006,270,2,"U","Africa/Johannesburg" +820,"Lanseria","Johannesburg","South Africa","HLA","FALA",-25.938514,27.926133,4517,2,"U","Africa/Johannesburg" +821,"Lichtenburg","Lichtenburg","South Africa","","FALI",-26.175672,26.184575,4875,2,"U","Africa/Johannesburg" +822,"Makhado Afb","Lambertsbaai","South Africa","","FALM",-23.159911,29.696544,3069,2,"U","Africa/Johannesburg" +823,"Langebaanweg","Langebaanweg","South Africa","","FALW",-32.968889,18.160278,108,2,"U","Africa/Johannesburg" +824,"Ladysmith","Ladysmith","South Africa","LAY","FALY",-28.581667,29.749722,3548,2,"U","Africa/Johannesburg" +825,"Middelburg","Middelburg","South Africa","","FAMB",-25.684775,29.440158,4886,2,"U","Africa/Johannesburg" +827,"Margate","Margate","South Africa","MGH","FAMG",-30.857408,30.343019,495,2,"U","Africa/Johannesburg" +828,"Marble Hall","Marble Hall","South Africa","","FAMI",-24.989114,29.283122,2980,2,"U","Africa/Johannesburg" +829,"Majuba Power Station","Majuba Power Station","South Africa","","FAMJ",-27.079253,29.778528,5600,2,"U","Africa/Johannesburg" +6813,"Susse","Kangia","Greenland","",\N,69.2225,-49.9383,100,-3,"U","America/Godthab" +831,"Malelane","Malalane","South Africa","","FAMN",-25.473603,31.565828,1153,2,"U","Africa/Johannesburg" +832,"Messina","Musina","South Africa","MEZ","FAMS",-25.704458,26.908978,4251,2,"U","Africa/Johannesburg" +833,"Mkuzi","Mkuze","South Africa","","FAMU",-27.626086,32.044275,400,2,"U","Africa/Johannesburg" +834,"Newcastle","Newcastle","South Africa","NCS","FANC",-27.770586,29.976894,4074,2,"U","Africa/Johannesburg" +835,"Nylstroom","Nylstroom","South Africa","","FANY",-24.686056,28.434944,3900,2,"U","Africa/Johannesburg" +836,"Overberg","Overberg","South Africa","","FAOB",-34.554861,20.250681,52,2,"U","Africa/Johannesburg" +837,"Oudtshoorn","Oudtshoorn","South Africa","DUH","FAOH",-33.606967,22.188978,1063,2,"U","Africa/Johannesburg" +838,"Port Elizabeth Intl","Port Elizabeth","South Africa","PLZ","FAPE",-33.984919,25.617275,226,2,"U","Africa/Johannesburg" +839,"Plettenberg Bay","Plettenberg Bay","South Africa","","FAPG",-34.090279,23.327778,465,2,"U","Africa/Johannesburg" +840,"Phalaborwa","Phalaborwa","South Africa","PHW","FAPH",-23.937166,31.15539,1432,2,"U","Africa/Johannesburg" +841,"Polokwane International","Polokwane","South Africa","PTG","FAPI",-23.926089,29.484422,4354,2,"U","Africa/Johannesburg" +842,"Port St Johns","Port Saint Johns","South Africa","","FAPJ",-31.605886,29.519786,1227,2,"U","Africa/Johannesburg" +843,"Pietermaritzburg","Pietermaritzburg","South Africa","PZB","FAPM",-29.648975,30.398667,2423,2,"U","Africa/Johannesburg" +844,"Pilanesberg Intl","Pilanesberg","South Africa","NTY","FAPN",-25.333822,27.173358,3412,2,"U","Africa/Johannesburg" +845,"Polokwane Intl","Potgietersrus","South Africa","","FAPP",-23.845306,29.458611,4076,2,"U","Africa/Johannesburg" +846,"Potchefstroom","Potchefstroom","South Africa","","FAPS",-26.670994,27.0819,4520,2,"U","Africa/Johannesburg" +847,"Parys","Parys","South Africa","","FAPY",-26.889344,27.503417,4740,2,"U","Africa/Johannesburg" +848,"Queenstown","Queenstown","South Africa","UTW","FAQT",-31.920197,26.882206,3637,2,"U","Africa/Johannesburg" +849,"Richards Bay","Richard's Bay","South Africa","RCB","FARB",-28.741039,32.092111,109,2,"U","Africa/Johannesburg" +850,"Rustenburg","Rustenburg","South Africa","","FARG",-25.6443,27.271119,3700,2,"U","Africa/Johannesburg" +851,"Robertson","Robertson","South Africa","","FARS",-33.812181,19.902828,640,2,"U","Africa/Johannesburg" +852,"Springbok","Springbok","South Africa","SBU","FASB",-29.689333,17.939611,2690,2,"U","Africa/Johannesburg" +853,"Secunda","Secunda","South Africa","","FASC",-26.524083,29.170144,5250,2,"U","Africa/Johannesburg" +854,"Saldanha Vredenburg","Saldanha","South Africa","","FASD",-32.964067,17.969331,50,2,"U","Africa/Johannesburg" +855,"Springs","Springs","South Africa","","FASI",-26.248411,28.397508,5340,2,"U","Africa/Johannesburg" +856,"Swartkop","Swartkop","South Africa","","FASK",-25.809717,28.164631,4780,2,"U","Africa/Johannesburg" +857,"Sishen","Sishen","South Africa","SIS","FASS",-27.648606,22.999278,3848,2,"U","Africa/Johannesburg" +858,"Hendrik Swellengrebel","Swellendam","South Africa","","FASX",-34.048222,20.474611,407,2,"U","Africa/Johannesburg" +859,"Skukuza","Skukuza","South Africa","SZK","FASZ",-24.960944,31.588731,1020,2,"U","Africa/Johannesburg" +860,"Tommys Fld","Tommy's Field","South Africa","","FATF",-28.260028,22.993178,4360,2,"U","Africa/Johannesburg" +861,"New Tempe","Bloemfontein","South Africa","","FATP",-29.032928,26.157564,4547,2,"U","Africa/Johannesburg" +862,"Tutuka Power Station","Tutuka","South Africa","","FATT",-26.776556,29.338778,5313,2,"U","Africa/Johannesburg" +863,"Tzaneen","Tzaneen","South Africa","LTA","FATZ",-23.824417,30.329306,1914,2,"U","Africa/Johannesburg" +864,"Prince Mangosuthu Buthelezi","Ulundi","South Africa","ULD","FAUL",-28.320586,31.416519,1720,2,"U","Africa/Johannesburg" +865,"Upington","Upington","South Africa","UTN","FAUP",-28.399097,21.260239,2782,2,"U","Africa/Johannesburg" +866,"Mthatha","Umtata","South Africa","UTT","FAUT",-31.547903,28.674289,2400,2,"U","Africa/Johannesburg" +867,"Vryburg","Vryburg","South Africa","VRU","FAVB",-26.982408,24.728756,3920,2,"U","Africa/Johannesburg" +868,"Virginia","Durban","South Africa","VIR","FAVG",-29.770606,31.058406,20,2,"U","Africa/Johannesburg" +869,"Vredendal","Vredendal","South Africa","","FAVR",-31.640961,18.544789,330,2,"U","Africa/Johannesburg" +870,"Vereeniging","Vereeniging","South Africa","","FAVV",-26.566372,27.960756,4846,2,"U","Africa/Johannesburg" +871,"Wonderboom","Pretoria","South Africa","PRY","FAWB",-25.653858,28.224231,4095,2,"U","Africa/Johannesburg" +872,"Witbank","Witbank","South Africa","","FAWI",-25.832294,29.192019,5078,2,"U","Africa/Johannesburg" +873,"Waterkloof Afb","Waterkloof","South Africa","","FAWK",-25.83,28.2225,4940,2,"U","Africa/Johannesburg" +874,"Welkom","Welkom","South Africa","WEL","FAWM",-27.998,26.669586,4399,2,"U","Africa/Johannesburg" +875,"Ysterplaat","Ysterplaat","South Africa","","FAYP",-33.900244,18.498297,52,2,"U","Africa/Johannesburg" +876,"Zeerust","Zeerust","South Africa","","FAZR",-25.598972,26.042333,4258,2,"U","Africa/Johannesburg" +877,"Francistown","Francistown","Botswana","FRW","FBFT",-21.159597,27.474525,3283,2,"U","Africa/Gaborone" +878,"Jwaneng","Jwaneng","Botswana","JWA","FBJW",-24.602333,24.690971,3900,2,"U","Africa/Gaborone" +879,"Kasane","Kasane","Botswana","BBK","FBKE",-17.832875,25.1624,3289,2,"U","Africa/Gaborone" +880,"Maun","Maun","Botswana","MUB","FBMN",-19.972564,23.431086,3093,2,"U","Africa/Gaborone" +881,"Sir Seretse Khama Intl","Gaberone","Botswana","GBE","FBSK",-24.555225,25.918208,3299,2,"U","Africa/Gaborone" +882,"Selebi Phikwe","Selebi-phikwe","Botswana","PKW","FBSP",-22.05835,27.828767,2925,2,"U","Africa/Gaborone" +883,"Maya Maya","Brazzaville","Congo (Brazzaville)","BZV","FCBB",-4.2517,15.253031,1048,1,"N","Africa/Brazzaville" +884,"Owando","Owando","Congo (Kinshasa)","FTX","FCOO",-0.53135,15.950094,1214,1,"N","Africa/Brazzaville" +885,"Ouesso","Ouesso","Congo (Kinshasa)","OUE","FCOU",1.615994,16.037917,1158,1,"N","Africa/Brazzaville" +886,"Pointe Noire","Pointe-noire","Congo (Brazzaville)","PNR","FCPP",-4.816028,11.886597,55,1,"N","Africa/Brazzaville" +887,"Matsapha","Manzini","Swaziland","MTS","FDMS",-26.529022,31.307519,2075,2,"U","Africa/Mbabane" +888,"Bangui M Poko","Bangui","Central African Republic","BGF","FEFF",4.398475,18.518786,1208,1,"N","Africa/Bangui" +889,"Berberati","Berberati","Central African Republic","BBT","FEFT",4.221583,15.786369,1929,1,"N","Africa/Bangui" +890,"Bata","Bata","Equatorial Guinea","BSG","FGBT",1.905469,9.805681,13,1,"N","Africa/Malabo" +891,"Malabo","Malabo","Equatorial Guinea","SSG","FGSL",3.755267,8.708717,76,1,"N","Africa/Malabo" +892,"Ascension Aux Af","Wide Awake","Saint Helena","","FHAW",-7.969597,-14.393664,278,0,"N","Atlantic/St_Helena" +893,"Sir Seewoosagur Ramgoolam Intl","Plaisance","Mauritius","MRU","FIMP",-20.430235,57.6836,186,4,"N","Indian/Mauritius" +894,"Plaine Corail","Rodriguez Island","Mauritius","RRG","FIMR",-19.757658,63.360983,95,4,"N","Indian/Mauritius" +895,"Diego Garcia Nsf","Diego Garcia Island","British Indian Ocean Territory","","FJDG",-7.313267,72.411089,9,6,"U","Indian/Chagos" +896,"Tiko","Tiko","Cameroon","TKC","FKKC",4.089192,9.360528,151,1,"N","Africa/Douala" +897,"Douala","Douala","Cameroon","DLA","FKKD",4.006081,9.719481,33,1,"N","Africa/Douala" +898,"Salak","Maroua","Cameroon","MVR","FKKL",10.451392,14.257361,1390,1,"N","Africa/Douala" +899,"Foumban Nkounja","Foumban","Cameroon","FOM","FKKM",5.636919,10.750817,3963,1,"N","Africa/Douala" +900,"Ngaoundere","N'gaoundere","Cameroon","NGE","FKKN",7.357011,13.559242,3655,1,"N","Africa/Douala" +901,"Garoua","Garoua","Cameroon","GOU","FKKR",9.335892,13.370103,794,1,"N","Africa/Douala" +902,"Bafoussam","Bafoussam","Cameroon","BFX","FKKU",5.536919,10.354583,4347,1,"N","Africa/Douala" +903,"Bamenda","Bamenda","Cameroon","BPC","FKKV",6.039239,10.122639,4065,1,"N","Africa/Douala" +904,"Yaounde Ville","Yaounde","Cameroon","YAO","FKKY",3.836039,11.523461,2464,1,"N","Africa/Douala" +905,"Kasompe","Kasompe","Zambia","","FLKE",-12.572778,27.89395,4636,2,"U","Africa/Lusaka" +906,"Livingstone","Livingstone","Zambia","LVI","FLLI",-17.821756,25.822692,3302,2,"U","Africa/Lusaka" +907,"Lusaka Intl","Lusaka","Zambia","LUN","FLLS",-15.330817,28.452628,3779,2,"U","Africa/Lusaka" +908,"Mfuwe","Mfuwe","Zambia","MFU","FLMF",-13.258878,31.936581,1853,2,"U","Africa/Lusaka" +909,"Mongu","Mongu","Zambia","","FLMG",-15.254542,23.162306,3488,2,"U","Africa/Lusaka" +910,"Ndola","Ndola","Zambia","NLA","FLND",-12.998139,28.664944,4167,2,"U","Africa/Lusaka" +911,"Southdowns","Southdowns","Zambia","KIW","FLSO",-12.900469,28.149858,4145,2,"U","Africa/Lusaka" +912,"Prince Said Ibrahim","Moroni","Comoros","HAH","FMCH",-11.533661,43.27185,93,3,"U","Indian/Comoro" +913,"Bandaressalam","Moheli","Comoros","NWA","FMCI",-12.298108,43.7664,46,3,"U","Indian/Comoro" +914,"Ouani","Anjouan","Comoros","AJN","FMCV",-12.131667,44.430279,62,3,"U","Indian/Comoro" +915,"Dzaoudzi Pamandzi","Dzaoudzi","Mayotte","DZA","FMCZ",-12.804722,45.281113,23,3,"U","Indian/Mayotte" +916,"St Denis Gillot","St.-denis","Reunion","RUN","FMEE",-20.8871,55.510308,66,4,"U","Indian/Reunion" +917,"St Pierre Pierrefonds","St.-pierre","Reunion","ZSE","FMEP",-21.320039,55.423581,56,4,"U","Indian/Reunion" +918,"Ivato","Antananarivo","Madagascar","TNR","FMMI",-18.79695,47.478806,4198,3,"U","Indian/Antananarivo" +919,"Miandrivazo","Miandrivazo","Madagascar","ZVA","FMMN",-19.562778,45.450832,203,3,"U","Indian/Antananarivo" +920,"Sainte Marie","Sainte Marie","Madagascar","SMS","FMMS",-17.093889,49.815834,7,3,"U","Indian/Antananarivo" +921,"Toamasina","Toamasina","Madagascar","TMM","FMMT",-18.109517,49.392536,22,3,"U","Indian/Antananarivo" +922,"Morondava","Morondava","Madagascar","MOQ","FMMV",-20.28475,44.317614,30,3,"U","Indian/Antananarivo" +923,"Arrachart","Antsiranana","Madagascar","DIE","FMNA",-12.3494,49.291747,374,3,"U","Indian/Antananarivo" +924,"Avaratra","Mananara","Madagascar","WMR","FMNC",-16.1639,49.773753,9,3,"U","Indian/Antananarivo" +925,"Andapa","Andapa","Madagascar","ZWA","FMND",-14.651667,49.620556,1552,3,"U","Indian/Antananarivo" +926,"Ambilobe","Ambilobe","Madagascar","AMB","FMNE",-13.188431,48.987978,72,3,"U","Indian/Antananarivo" +927,"Antsirabato","Antalaha","Madagascar","ANM","FMNH",-14.999411,50.320233,20,3,"U","Indian/Antananarivo" +928,"Analalava","Analalava","Madagascar","HVA","FMNL",-14.629694,47.763783,345,3,"U","Indian/Antananarivo" +929,"Philibert Tsiranana","Mahajanga","Madagascar","MJN","FMNM",-15.667144,46.351828,87,3,"U","Indian/Antananarivo" +930,"Fascene","Nosy-be","Madagascar","NOS","FMNN",-13.312067,48.314822,36,3,"U","Indian/Antananarivo" +931,"Besalampy","Besalampy","Madagascar","BPY","FMNQ",-16.741945,44.481388,125,3,"U","Indian/Antananarivo" +932,"Maroantsetra","Maroantsetra","Madagascar","WMN","FMNR",-15.436666,49.688332,13,3,"U","Indian/Antananarivo" +933,"Sambava","Sambava","Madagascar","SVB","FMNS",-14.278611,50.174721,20,3,"U","Indian/Antananarivo" +934,"Vohimarina","Vohemar","Madagascar","VOH","FMNV",-13.375834,50.002777,19,3,"U","Indian/Antananarivo" +935,"Ambalabe","Antsohihy","Madagascar","WAI","FMNW",-14.89875,47.993894,92,3,"U","Indian/Antananarivo" +936,"Ampampamena","Ampampamena","Madagascar","","FMNZ",-13.484814,48.632739,49,3,"U","Indian/Antananarivo" +937,"Tolagnaro","Tolagnaro","Madagascar","FTU","FMSD",-25.038056,46.956111,29,3,"U","Indian/Antananarivo" +938,"Fianarantsoa","Fianarantsoa","Madagascar","WFI","FMSF",-21.441558,47.111736,3658,3,"U","Indian/Antananarivo" +939,"Farafangana","Farafangana","Madagascar","RVA","FMSG",-22.805286,47.820614,26,3,"U","Indian/Antananarivo" +940,"Manakara","Manakara","Madagascar","WVK","FMSK",-22.119722,48.021667,33,3,"U","Indian/Antananarivo" +941,"Mananjary","Mananjary","Madagascar","MNJ","FMSM",-21.201772,48.358317,20,3,"U","Indian/Antananarivo" +942,"Morombe","Morombe","Madagascar","MXM","FMSR",-21.753867,43.375533,16,3,"U","Indian/Antananarivo" +943,"Toliara","Toliara","Madagascar","TLE","FMST",-23.383369,43.728453,29,3,"U","Indian/Antananarivo" +944,"Mbanza Congo","M'banza-congo","Angola","SSY","FNBC",-6.269897,14.247025,1860,1,"N","Africa/Luanda" +945,"Benguela","Benguela","Angola","BUG","FNBG",-12.609025,13.403711,118,1,"N","Africa/Luanda" +946,"Cabinda","Cabinda","Angola","CAB","FNCA",-5.596992,12.188353,66,1,"N","Africa/Luanda" +6814,"Culebra Airport","Culebra Island","Puerto Rico","CPX","TJCP",18.3127,-65.3034,12,-4,"U","America/Puerto_Rico" +948,"Huambo","Huambo","Angola","NOV","FNHU",-12.808878,15.760547,5587,1,"N","Africa/Luanda" +949,"Kuito","Kuito","Angola","SVP","FNKU",-12.404633,16.947414,5618,1,"N","Africa/Luanda" +950,"Lobito","Lobito","Angola","","FNLB",-12.371233,13.536625,10,1,"N","Africa/Luanda" +951,"Luanda 4 De Fevereiro","Luanda","Angola","LAD","FNLU",-8.858375,13.231178,243,1,"N","Africa/Luanda" +952,"Malanje","Malanje","Angola","MEG","FNMA",-9.525086,16.312406,3868,1,"N","Africa/Luanda" +953,"Menongue","Menongue","Angola","SPP","FNME",-14.657583,17.719833,4469,1,"N","Africa/Luanda" +955,"Negage","Negage","Angola","GXG","FNNG",-7.754506,15.287728,4105,1,"N","Africa/Luanda" +956,"Porto Amboim","Porto Amboim","Angola","PBN","FNPA",-10.721956,13.765528,16,1,"N","Africa/Luanda" +957,"Saurimo","Saurimo","Angola","VHC","FNSA",-9.689067,20.431875,3584,1,"N","Africa/Luanda" +958,"Soyo","Soyo","Angola","SZA","FNSO",-6.141086,12.371764,15,1,"N","Africa/Luanda" +959,"Lubango","Lubango","Angola","SDD","FNUB",-14.924733,13.575022,5778,1,"N","Africa/Luanda" +960,"Luena","Luena","Angola","LUO","FNUE",-11.768086,19.897672,4360,1,"N","Africa/Luanda" +961,"Uige","Uige","Angola","UGO","FNUG",-7.603067,15.027822,2720,1,"N","Africa/Luanda" +962,"Xangongo","Xangongo","Angola","XGN","FNXA",-16.755417,14.965344,3635,1,"N","Africa/Luanda" +963,"Oyem","Oyem","Gabon","OYE","FOGO",1.543108,11.581361,2158,1,"N","Africa/Libreville" +964,"Okondja","Okondja","Gabon","OKN","FOGQ",-0.665214,13.673133,1325,1,"N","Africa/Libreville" +965,"Lambarene","Lambarene","Gabon","LBQ","FOGR",-0.704389,10.245722,82,1,"N","Africa/Libreville" +966,"Bitam","Bitam","Gabon","BMM","FOOB",2.075639,11.493195,1969,1,"N","Africa/Libreville" +967,"Port Gentil","Port Gentil","Gabon","POG","FOOG",-0.711739,8.754383,13,1,"N","Africa/Libreville" +968,"Omboue Hopital","Omboue Hospial","Gabon","OMB","FOOH",-1.574733,9.262694,33,1,"N","Africa/Libreville" +969,"Makokou","Makokou","Gabon","MKU","FOOK",0.579211,12.890908,1726,1,"N","Africa/Libreville" +970,"Leon M Ba","Libreville","Gabon","LBV","FOOL",0.4586,9.412283,39,1,"N","Africa/Libreville" +971,"Mvengue","Franceville","Gabon","MVB","FOON",-1.656156,13.438036,1450,1,"N","Africa/Libreville" +972,"Principe","Principe","Sao Tome and Principe","PCP","FPPR",1.662936,7.411742,591,0,"N","Africa/Sao_Tome" +973,"Sao Tome Intl","Sao Tome","Sao Tome and Principe","TMS","FPST",0.378175,6.712153,33,0,"N","Africa/Sao_Tome" +974,"Beira","Beira","Mozambique","BEW","FQBR",-19.796419,34.907556,33,2,"U","Africa/Maputo" +976,"Inhambane","Inhambane","Mozambique","INH","FQIN",-23.876431,35.408544,30,2,"U","Africa/Maputo" +977,"Lichinga","Lichinga","Mozambique","VXC","FQLC",-13.273986,35.266262,4505,2,"U","Africa/Maputo" +978,"Lumbo","Lumbo","Mozambique","","FQLU",-15.033058,40.671728,33,2,"U","Africa/Maputo" +979,"Maputo","Maputo","Mozambique","MPM","FQMA",-25.920836,32.572606,145,2,"U","Africa/Maputo" +980,"Mueda","Mueda","Mozambique","","FQMD",-11.672922,39.563142,2789,2,"U","Africa/Maputo" +981,"Mocimboa Da Praia","Mocimboa Da Praia","Mozambique","MZB","FQMP",-11.361789,40.354875,89,2,"U","Africa/Maputo" +982,"Marrupa","Marrupa","Mozambique","","FQMR",-13.225053,37.552067,2480,2,"U","Africa/Maputo" +983,"Nacala","Nacala","Mozambique","MNC","FQNC",-14.488233,40.71225,410,2,"U","Africa/Maputo" +984,"Nampula","Nampula","Mozambique","APL","FQNP",-15.105611,39.2818,1444,2,"U","Africa/Maputo" +985,"Pemba","Pemba","Mozambique","POL","FQPB",-12.986753,40.522492,331,2,"U","Africa/Maputo" +986,"Quelimane","Quelimane","Mozambique","UEL","FQQL",-17.8555,36.869106,36,2,"U","Africa/Maputo" +987,"Songo","Songo","Mozambique","","FQSG",-15.602694,32.773189,2904,2,"U","Africa/Maputo" +988,"Tete Chingodzi","Tete","Mozambique","TET","FQTT",-16.104817,33.640181,525,2,"U","Africa/Maputo" +989,"Ulongwe","Ulongwe","Mozambique","","FQUG",-14.704617,34.352369,4265,2,"U","Africa/Maputo" +990,"Vilankulo","Vilankulu","Mozambique","VNX","FQVL",-22.018431,35.313297,46,2,"U","Africa/Maputo" +991,"Alphonse","Alphonse","Seychelles","","FSAL",-7.004783,52.726247,10,4,"U","Indian/Mahe" +992,"Desroches","Desroches","Seychelles","DES","FSDR",-5.696697,53.655844,10,4,"U","Indian/Mahe" +993,"Farquhar","Farquhar","Seychelles","","FSFA",-10.109611,51.176119,10,4,"U","Indian/Mahe" +994,"Seychelles Intl","Mahe","Seychelles","SEZ","FSIA",-4.674342,55.521839,10,4,"U","Indian/Mahe" +995,"Praslin","Praslin","Seychelles","PRI","FSPP",-4.319292,55.691417,10,4,"U","Indian/Mahe" +996,"Coetivy","Coetivy","Seychelles","","FSSC",-7.134567,56.278239,10,4,"U","Indian/Mahe" +997,"Abeche","Abeche","Chad","AEH","FTTC",13.847,20.844333,1788,1,"N","Africa/Ndjamena" +998,"Moundou","Moundou","Chad","MQQ","FTTD",8.624406,16.071419,1407,1,"N","Africa/Ndjamena" +999,"Ndjamena Hassan Djamous","N'djamena","Chad","NDJ","FTTJ",12.133689,15.034019,968,1,"N","Africa/Ndjamena" +1000,"Faya Largeau","Faya-largeau","Chad","FYT","FTTY",17.917053,19.111078,771,1,"N","Africa/Ndjamena" +1001,"J M Nkomo Intl","Bulawayo","Zimbabwe","BUQ","FVBU",-20.017431,28.617869,4359,2,"U","Africa/Harare" +1002,"Charles Prince","Harare","Zimbabwe","","FVCP",-17.751561,30.924706,4845,2,"U","Africa/Harare" +1003,"Buffalo Range","Chiredzi","Zimbabwe","BFO","FVCZ",-21.008083,31.57855,1421,2,"U","Africa/Harare" +1004,"Victoria Falls Intl","Victoria Falls","Zimbabwe","VFA","FVFA",-18.095881,25.839006,3490,2,"U","Africa/Harare" +1005,"Harare Intl","Harare","Zimbabwe","HRE","FVHA",-17.931806,31.092847,4887,2,"U","Africa/Harare" +1006,"Kariba Intl","Kariba","Zimbabwe","KAB","FVKB",-16.519761,28.884981,1706,2,"U","Africa/Harare" +1007,"Mutoko","Mutoko","Zimbabwe","","FVMT",-17.431917,32.184502,3950,2,"U","Africa/Harare" +1008,"Mutare","Mutare","Zimbabwe","","FVMU",-18.997499,32.627224,3410,2,"U","Africa/Harare" +1009,"Masvingo Intl","Masvingo","Zimbabwe","MVZ","FVMV",-20.055333,30.859111,3595,2,"U","Africa/Harare" +1010,"Zvishavane","Zvishavane","Zimbabwe","","FVSH",-20.289497,30.088228,3012,2,"U","Africa/Harare" +1011,"Gweru Thornhill","Gwert","Zimbabwe","GWE","FVTL",-19.436394,29.861911,4680,2,"U","Africa/Harare" +1012,"Hwange National Park","Hwange National Park","Zimbabwe","WKM","FVWN",-18.629872,27.021042,3543,2,"U","Africa/Harare" +1013,"Chileka Intl","Blantyre","Malawi","BLZ","FWCL",-15.679053,34.974014,2555,2,"U","Africa/Blantyre" +1014,"Karonga","Karonga","Malawi","KGJ","FWKA",-9.953569,33.893022,1765,2,"U","Africa/Blantyre" +1015,"Kasungu","Kasungu","Malawi","","FWKG",-13.014631,33.468597,3470,2,"U","Africa/Blantyre" +1016,"Kamuzu Intl","Lilongwe","Malawi","LLW","FWKI",-13.789378,33.781,4035,2,"U","Africa/Blantyre" +1017,"Mzuzu","Mzuzu","Malawi","ZZU","FWUU",-11.44475,34.011776,4115,2,"U","Africa/Blantyre" +1018,"Moshoeshoe I Intl","Maseru","Lesotho","MSU","FXMM",-29.462256,27.552503,5348,2,"U","Africa/Maseru" +1019,"Mejametalana","Maseru","Lesotho","","FXMU",-29.304053,27.503458,5105,2,"U","Africa/Maseru" +1020,"Ndjili Intl","Kinshasa","Congo (Kinshasa)","FIH","FZAA",-4.38575,15.444569,1027,1,"N","Africa/Kinshasa" +1021,"Ndolo","Kinshasa","Congo (Kinshasa)","NLO","FZAB",-4.326689,15.327342,915,1,"N","Africa/Kinshasa" +1022,"Muanda","Muanda","Congo (Kinshasa)","MNB","FZAG",-5.930858,12.351789,89,1,"N","Africa/Kinshasa" +1023,"Kitona Base","Kitona Base","Congo (Kinshasa)","","FZAI",-5.918056,12.447694,394,1,"N","Africa/Kinshasa" +1024,"Bandundu","Bandoundu","Congo (Kinshasa)","FDU","FZBO",-3.311319,17.381683,1053,1,"N","Africa/Kinshasa" +1025,"Kikwit","Kikwit","Congo (Kinshasa)","KKW","FZCA",-5.035767,18.785631,1572,1,"N","Africa/Kinshasa" +1026,"Mbandaka","Mbandaka","Congo (Kinshasa)","MDK","FZEA",0.0226,18.288744,1040,1,"N","Africa/Kinshasa" +1027,"Gbadolite","Gbadolite","Congo (Kinshasa)","BDT","FZFD",4.253206,20.975283,1509,1,"N","Africa/Kinshasa" +1028,"Gemena","Gemena","Congo (Kinshasa)","GMA","FZFK",3.235369,19.771258,1378,1,"N","Africa/Kinshasa" +1029,"Kotakoli","Kotakoli","Congo (Kinshasa)","","FZFP",4.157639,21.650917,1801,1,"N","Africa/Kinshasa" +1030,"Lisala","Lisala","Congo (Kinshasa)","LIQ","FZGA",2.170658,21.496906,1509,1,"N","Africa/Kinshasa" +1031,"Kisangani Simisini","Kisangani","Congo (Kinshasa)","FKI","FZIA",0.5175,25.155014,1289,2,"U","Africa/Lubumbashi" +1032,"Matari","Isiro","Congo (Kinshasa)","IRP","FZJH",2.827606,27.588253,2438,2,"U","Africa/Lubumbashi" +1033,"Bunia","Bunia","Congo (Kinshasa)","BUX","FZKA",1.565719,30.220833,4045,2,"U","Africa/Lubumbashi" +1034,"Buta Zega","Buta Zega","Congo (Kinshasa)","","FZKJ",2.818347,24.793706,1378,2,"U","Africa/Lubumbashi" +1035,"Bukavu Kavumu","Bukavu/kavumu","Congo (Kinshasa)","BKY","FZMA",-2.308978,28.808803,5643,2,"U","Africa/Lubumbashi" +1036,"Goma","Goma","Congo (Kinshasa)","GOM","FZNA",-1.670814,29.238464,5089,2,"U","Africa/Kigali" +1037,"Kindu","Kindu","Congo (Kinshasa)","KND","FZOA",-2.919178,25.915361,1630,2,"U","Africa/Lubumbashi" +1038,"Lubumbashi Intl","Lubumashi","Congo (Kinshasa)","FBM","FZQA",-11.591333,27.530889,4295,2,"U","Africa/Lubumbashi" +1039,"Kolwezi","Kolwezi","Congo (Kinshasa)","KWZ","FZQM",-10.765886,25.505714,5007,2,"U","Africa/Lubumbashi" +1040,"Kalemie","Kalemie","Congo (Kinshasa)","FMI","FZRF",-5.875556,29.25,2569,2,"U","Africa/Lubumbashi" +1041,"Kamina Base","Kamina Base","Congo (Kinshasa)","KMN","FZSA",-8.642025,25.252897,3543,2,"U","Africa/Lubumbashi" +1042,"Kananga","Kananga","Congo (Kinshasa)","KGA","FZUA",-5.900055,22.469166,2139,2,"U","Africa/Lubumbashi" +1043,"Mbuji Mayi","Mbuji-mayi","Congo (Kinshasa)","MJM","FZWA",-6.121236,23.569008,2221,2,"U","Africa/Lubumbashi" +1044,"Senou","Bamako","Mali","BKO","GABS",12.533544,-7.949944,1247,0,"N","Africa/Bamako" +1045,"Gao","Gao","Mali","GAQ","GAGO",16.248433,-0.005456,870,0,"N","Africa/Bamako" +1046,"Kayes Dag Dag","Kayes","Mali","KYS","GAKY",14.481233,-11.404397,164,0,"N","Africa/Bamako" +1047,"Ambodedjo","Mopti","Mali","MZI","GAMB",14.512803,-4.079561,906,0,"N","Africa/Bamako" +1048,"Tombouctou","Tombouctou","Mali","TOM","GATB",16.730458,-3.007583,863,0,"N","Africa/Bamako" +1049,"Tessalit","Tessalit","Mali","","GATS",20.242983,0.977308,1621,0,"N","Africa/Bamako" +1050,"Banjul Intl","Banjul","Gambia","BJL","GBYD",13.337961,-16.652206,95,0,"N","Africa/Banjul" +1051,"Fuerteventura","Fuerteventura","Spain","FUE","GCFV",28.452717,-13.863761,83,0,"E","Atlantic/Canary" +1052,"Hierro","Hierro","Spain","VDE","GCHI",27.814847,-17.887056,103,0,"E","Atlantic/Canary" +1053,"La Palma","Santa Cruz De La Palma","Spain","SPC","GCLA",28.626478,-17.755611,107,0,"E","Atlantic/Canary" +1054,"Gran Canaria","Gran Canaria","Spain","LPA","GCLP",27.931886,-15.386586,78,0,"E","Atlantic/Canary" +1055,"Lanzarote","Las Palmas","Spain","ACE","GCRR",28.945464,-13.605225,47,0,"E","Atlantic/Canary" +1056,"Tenerife Sur","Tenerife","Spain","TFS","GCTS",28.044475,-16.572489,209,0,"E","Atlantic/Canary" +1057,"Tenerife Norte","Tenerife","Spain","TFN","GCXO",28.482653,-16.341536,2073,0,"E","Atlantic/Canary" +1058,"Melilla","Melilla","Spain","MLN","GEML",35.279817,-2.956256,156,1,"E","Europe/Madrid" +1059,"Freetown Lungi","Freetown","Sierra Leone","FNA","GFLL",8.616444,-13.195489,84,0,"N","Africa/Freetown" +1060,"Cufar","Cufar","Guinea-Bissau","","GGCF",11.287917,-15.1805,65,0,"N","Africa/Bissau" +1062,"Monrovia Spriggs Payne","Monrovia","Liberia","MLW","GLMR",6.289061,-10.758722,25,0,"N","Africa/Monrovia" +1063,"Monrovia Roberts Intl","Monrovia","Liberia","ROB","GLRB",6.233789,-10.362311,31,0,"N","Africa/Monrovia" +1064,"Inezgane","Agadir","Morocco","AGA","GMAA",30.381353,-9.546311,89,0,"N","Africa/Casablanca" +1065,"Plage Blanche","Tan Tan","Morocco","TTA","GMAT",28.448194,-11.161347,653,0,"N","Africa/Casablanca" +1066,"Saiss","Fes","Morocco","FEZ","GMFF",33.927261,-4.977958,1900,0,"N","Africa/Casablanca" +1067,"Ifrane","Ifrane","Morocco","","GMFI",33.505319,-5.152903,5459,0,"N","Africa/Casablanca" +1068,"Moulay Ali Cherif","Er-rachidia","Morocco","ERH","GMFK",31.9475,-4.398333,3428,0,"N","Africa/Casablanca" +1069,"Bassatine","Meknes","Morocco","MEK","GMFM",33.879067,-5.515125,1890,0,"N","Africa/Casablanca" +1070,"Angads","Oujda","Morocco","OUD","GMFO",34.78715,-1.923986,1535,0,"N","Africa/Casablanca" +1071,"Ben Slimane","Ben Slimane","Morocco","","GMMB",33.655422,-7.22145,627,0,"N","Africa/Casablanca" +1072,"Sale","Rabat","Morocco","RBA","GMME",34.051467,-6.751519,276,0,"N","Africa/Casablanca" +1074,"Mohammed V Intl","Casablanca","Morocco","CMN","GMMN",33.367467,-7.589967,656,0,"N","Africa/Casablanca" +1075,"Menara","Marrakech","Morocco","RAK","GMMX",31.606886,-8.0363,1545,0,"N","Africa/Casablanca" +1076,"Kenitra","Kentira","Morocco","NNA","GMMY",34.298864,-6.595878,16,0,"N","Africa/Casablanca" +1077,"Ouarzazate","Ouarzazate","Morocco","OZZ","GMMZ",30.939053,-6.909431,3782,0,"N","Africa/Casablanca" +1078,"Cherif El Idrissi","Al Hociema","Morocco","AHU","GMTA",35.177103,-3.839525,95,0,"N","Africa/Casablanca" +1079,"Saniat Rmel","Tetouan","Morocco","TTU","GMTN",35.594333,-5.320019,10,0,"N","Africa/Casablanca" +1080,"Ibn Batouta","Tanger","Morocco","TNG","GMTT",35.726917,-5.916889,62,0,"N","Africa/Casablanca" +1081,"Ziguinchor","Ziguinchor","Senegal","ZIG","GOGG",12.555617,-16.281783,75,0,"N","Africa/Dakar" +1082,"Cap Skiring","Cap Skiring","Senegal","CSK","GOGS",12.4102,-16.746125,52,0,"N","Africa/Dakar" +1083,"Kaolack","Kaolack","Senegal","KLC","GOOK",14.146881,-16.051297,26,0,"N","Africa/Dakar" +1084,"Leopold Sedar Senghor Intl","Dakar","Senegal","DKR","GOOY",14.739708,-17.490225,85,0,"N","Africa/Dakar" +1085,"Saint Louis","St. Louis","Senegal","XLS","GOSS",16.050761,-16.463172,9,0,"N","Africa/Dakar" +1086,"Bakel","Bakel","Senegal","BXE","GOTB",14.847256,-12.468264,98,0,"N","Africa/Dakar" +1087,"Kedougou","Kedougou","Senegal","KGG","GOTK",12.572292,-12.220333,584,0,"N","Africa/Dakar" +1088,"Tambacounda","Tambacounda","Senegal","TUD","GOTT",13.736817,-13.653122,161,0,"N","Africa/Dakar" +1089,"Aioun El Atrouss","Aioun El Atrouss","Mauritania","IEO","GQNA",16.711294,-9.637883,951,0,"N","Africa/Nouakchott" +1090,"Tidjikja","Tidjikja","Mauritania","TIY","GQND",18.570103,-11.423547,1316,0,"N","Africa/Nouakchott" +1091,"Kiffa","Kiffa","Mauritania","KFA","GQNF",16.589983,-11.406208,423,0,"N","Africa/Nouakchott" +1092,"Nema","Nema","Mauritania","EMN","GQNI",16.622,-7.316567,758,0,"N","Africa/Nouakchott" +1093,"Kaedi","Kaedi","Mauritania","KED","GQNK",16.159547,-13.507617,75,0,"N","Africa/Nouakchott" +1094,"Nouakchott","Nouakschott","Mauritania","NKC","GQNN",18.097856,-15.947956,7,0,"N","Africa/Nouakchott" +1095,"Selibady","Selibabi","Mauritania","SEY","GQNS",15.179692,-12.207272,262,0,"N","Africa/Nouakchott" +1096,"Atar","Atar","Mauritania","ATR","GQPA",20.506828,-13.043194,758,0,"N","Africa/Nouakchott" +1097,"Nouadhibou","Nouadhibou","Mauritania","NDB","GQPP",20.933067,-17.029956,16,0,"N","Africa/Nouakchott" +1098,"Bir Moghrein","Bir Moghrein","Mauritania","","GQPT",25.236697,-11.588697,1194,0,"N","Africa/Nouakchott" +1099,"Fria","Fira","Guinea","FIG","GUFA",10.350556,-13.569167,499,0,"N","Africa/Conakry" +1100,"Faranah","Faranah","Guinea","FAA","GUFH",10.035467,-10.769825,1476,0,"N","Africa/Conakry" +1101,"Labe","Labe","Guinea","LEK","GULB",11.326058,-12.28685,3396,0,"N","Africa/Conakry" +1102,"Amilcar Cabral Intl","Amilcar Cabral","Cape Verde","SID","GVAC",16.741389,-22.949444,177,-1,"U","Atlantic/Cape_Verde" +1103,"Rabil","Boa Vista","Cape Verde","BVC","GVBA",16.136531,-22.888897,69,-1,"U","Atlantic/Cape_Verde" +1104,"Maio","Maio","Cape Verde","MMO","GVMA",15.155928,-23.213703,36,-1,"U","Atlantic/Cape_Verde" +1105,"Preguica","Sao Nocolau Island","Cape Verde","SNE","GVSN",16.588356,-24.284656,669,-1,"U","Atlantic/Cape_Verde" +1106,"Sao Pedro","Sao Vicente Island","Cape Verde","VXE","GVSV",16.833689,-25.054661,66,-1,"U","Atlantic/Cape_Verde" +1107,"Bole Intl","Addis Ababa","Ethiopia","ADD","HAAB",8.977889,38.799319,7656,3,"U","Africa/Addis_Ababa" +1108,"Lideta","Addis Ababa","Ethiopia","","HAAL",9.003681,38.726019,7749,3,"U","Africa/Addis_Ababa" +1109,"Arba Minch","Arba Minch","Ethiopia","AMH","HAAM",6.039389,37.590453,3895,3,"U","Africa/Addis_Ababa" +1110,"Axum","Axum","Ethiopia","AXU","HAAX",14.14675,38.772833,6915,3,"U","Africa/Addis_Ababa" +1111,"Bahir Dar","Bahar Dar","Ethiopia","BJR","HABD",11.608075,37.321644,5976,3,"U","Africa/Addis_Ababa" +1112,"Dire Dawa Intl","Dire Dawa","Ethiopia","DIR","HADR",9.6247,41.854203,3829,3,"U","Africa/Addis_Ababa" +1113,"Gambella","Gambella","Ethiopia","GMB","HAGM",8.128764,34.563131,1771,3,"U","Africa/Addis_Ababa" +1114,"Gondar","Gondar","Ethiopia","GDQ","HAGN",12.5199,37.434047,6541,3,"U","Africa/Addis_Ababa" +6811,"South Ari Atoll","Paradies Island","Maldives","","ARIA",3.4833,72.8369,0,5,"U","Indian/Maldives" +1116,"Jimma","Jimma","Ethiopia","JIM","HAJM",7.666094,36.816639,5587,3,"U","Africa/Addis_Ababa" +1117,"Lalibella","Lalibella","Ethiopia","LLI","HALL",11.975014,38.979969,6423,3,"U","Africa/Addis_Ababa" +1118,"Makale","Makale","Ethiopia","MQX","HAMK",13.467367,39.533464,7406,3,"U","Africa/Addis_Ababa" +1119,"Asosa","Asosa","Ethiopia","ASO","HASO",10.01855,34.586253,5120,3,"U","Africa/Addis_Ababa" +1120,"Bujumbura Intl","Bujumbura","Burundi","BJM","HBBA",-3.324019,29.318519,2582,2,"U","Africa/Bujumbura" +1121,"Egal Intl","Hargeisa","Somalia","HGA","HCMH",9.518167,44.088758,4423,3,"U","Africa/Mogadishu" +1122,"Berbera","Berbera","Somalia","BBO","HCMI",10.389167,44.941106,30,3,"U","Africa/Mogadishu" +1123,"Kisimayu","Kismayu","Somalia","KMU","HCMK",-0.377353,42.459233,49,3,"U","Africa/Mogadishu" +6890,"Dowagiac Municipal Airport","Dowagiac","United States","C91",\N,41.9929342,-86.1280125,748,-5,"U","America/New_York" +1126,"Alexandria Intl","Alexandria","Egypt","ALY","HEAX",31.183903,29.948889,-6,2,"U","Africa/Cairo" +1127,"Abu Simbel","Abu Simbel","Egypt","ABS","HEBL",22.375953,31.611722,616,2,"U","Africa/Cairo" +1128,"Cairo Intl","Cairo","Egypt","CAI","HECA",30.121944,31.405556,382,2,"U","Africa/Cairo" +1129,"Cairo West","Cairo","Egypt","","HECW",30.116362,30.915445,550,2,"U","Africa/Cairo" +1130,"Hurghada Intl","Hurghada","Egypt","HRG","HEGN",27.178317,33.799436,52,2,"U","Africa/Cairo" +1131,"El Gora","El Gorah","Egypt","EGR","HEGR",31.068975,34.129194,324,2,"U","Africa/Cairo" +1132,"Luxor Intl","Luxor","Egypt","LXR","HELX",25.671028,32.706583,294,2,"U","Africa/Cairo" +1133,"Mersa Matruh","Mersa-matruh","Egypt","MUH","HEMM",31.325356,27.221689,94,2,"U","Africa/Cairo" +1134,"Port Said","Port Said","Egypt","PSD","HEPS",31.279444,32.24,8,2,"U","Africa/Cairo" +1135,"St Catherine Intl","St. Catherine","Egypt","SKV","HESC",28.685278,34.0625,4368,2,"U","Africa/Cairo" +1136,"Aswan Intl","Aswan","Egypt","ASW","HESN",23.964356,32.819975,662,2,"U","Africa/Cairo" +1137,"El Tor","El-tor","Egypt","ELT","HETR",28.209028,33.645517,115,2,"U","Africa/Cairo" +1138,"Eldoret Intl","Eldoret","Kenya","EDL","HKEL",0.404458,35.238928,6941,3,"U","Africa/Nairobi" +1139,"Kakamega","Kakamega","Kenya","","HKKG",0.271342,34.787297,5020,3,"U","Africa/Nairobi" +1140,"Kisumu","Kisumu","Kenya","KIS","HKKI",-0.086139,34.728892,3796,3,"U","Africa/Nairobi" +1141,"Kitale","Kitale","Kenya","KTL","HKKT",0.971989,34.958556,6070,3,"U","Africa/Nairobi" +6889,"Cambridge Municipal Airport","Cambridge","United States","CDI",\N,39.9750278,-81.5775833,799,-5,"U","America/New_York" +1143,"Lodwar","Lodwar","Kenya","LOK","HKLO",3.121967,35.608692,1715,3,"U","Africa/Nairobi" +1144,"Lamu Manda","Lamu","Kenya","LAU","HKLU",-2.252417,40.913097,20,3,"U","Africa/Nairobi" +1145,"Mombasa Moi Intl","Mombasa","Kenya","MBA","HKMO",-4.034833,39.59425,200,3,"U","Africa/Nairobi" +1146,"Naivasha","Naivasha","Kenya","","HKNV",-0.787953,36.433528,6380,3,"U","Africa/Nairobi" +1147,"Nairobi Wilson","Nairobi","Kenya","WIL","HKNW",-1.321719,36.814833,5546,3,"U","Africa/Nairobi" +1148,"Eastleigh","Nairobi","Kenya","","HKRE",-1.277267,36.862339,5380,3,"U","Africa/Nairobi" +1149,"Wajir","Wajir","Kenya","WJR","HKWJ",1.733239,40.091606,770,3,"U","Africa/Nairobi" +1150,"Bu Attifel","Buattifel","Libya","","HLFL",28.795372,22.080939,161,2,"N","Africa/Tripoli" +1151,"Warehouse 59e","Giallo","Libya","","HLGL",28.638458,21.438042,325,2,"N","Africa/Tripoli" +1152,"Ghat","Ghat","Libya","GHT","HLGT",25.145564,10.142647,2296,2,"N","Africa/Tripoli" +1153,"Kufra","Kufra","Libya","AKF","HLKF",24.178728,23.313958,1367,2,"N","Africa/Tripoli" +1154,"Benina","Benghazi","Libya","BEN","HLLB",32.096786,20.269472,433,2,"N","Africa/Tripoli" +1156,"Sebha","Sebha","Libya","SEB","HLLS",26.986964,14.472525,1427,2,"N","Africa/Tripoli" +1157,"Tripoli Intl","Tripoli","Libya","TIP","HLLT",32.663544,13.159011,263,2,"N","Africa/Tripoli" +1158,"Marsa Brega","Marsa Brega","Libya","","HLMB",30.378139,19.576444,50,2,"N","Africa/Tripoli" +1159,"Ras Lanuf Oil","Ras Lanouf V 40","Libya","","HLNF",30.500013,18.527161,42,2,"N","Africa/Tripoli" +1160,"Hon","Hon","Libya","","HLON",29.110106,15.965567,919,2,"N","Africa/Tripoli" +1161,"Dahra","Dahra","Libya","","HLRA",29.472567,17.934936,1050,2,"N","Africa/Tripoli" +1162,"Ghadames East","Ghadames","Libya","LTD","HLTD",30.151695,9.715305,1122,2,"N","Africa/Tripoli" +1163,"Zella 74","Zella 74","Libya","","HLZA",28.589878,17.293858,1085,2,"N","Africa/Tripoli" +1164,"Gisenyi","Gisenyi","Rwanda","GYI","HRYG",-1.677203,29.258875,5082,2,"U","Africa/Kigali" +1165,"Kigali Intl","Kigali","Rwanda","KGL","HRYR",-1.968628,30.13945,4859,2,"U","Africa/Kigali" +1166,"Kamembe","Kamembe","Rwanda","KME","HRZA",-2.462242,28.90795,5192,2,"U","Africa/Kigali" +1167,"Dongola","Dongola","Sudan","DOG","HSDN",19.153867,30.430094,773,3,"U","Africa/Khartoum" +1168,"Damazin","Damazin","Sudan","","HSDZ",11.785889,34.336656,1582,3,"U","Africa/Khartoum" +1169,"El Fashir","El Fasher","Sudan","ELF","HSFS",13.614892,25.32465,2393,3,"U","Africa/Khartoum" +1170,"Kassala","Kassala","Sudan","KSL","HSKA",15.387494,36.328842,1671,3,"U","Africa/Khartoum" +1171,"Kadugli","Kadugli","Sudan","","HSLI",11.138028,29.701122,1848,3,"U","Africa/Khartoum" +1172,"El Obeid","El Obeid","Sudan","EBD","HSOB",13.153219,30.232675,1927,3,"U","Africa/Khartoum" +1173,"Juba","Juba","South Sudan","JUB","HSSJ",4.872006,31.601117,1513,3,"U","Africa/Juba" +1174,"Malakal","Malakal","Sudan","MAK","HSSM",9.558969,31.652242,1291,3,"U","Africa/Juba" +1175,"Khartoum","Khartoum","Sudan","KRT","HSSS",15.589497,32.553161,1265,3,"U","Africa/Khartoum" +1176,"Arusha","Arusha","Tanzania","ARK","HTAR",-3.367794,36.633333,4550,3,"U","Africa/Dar_es_Salaam" +1177,"Mwalimu Julius K Nyerere Intl","Dar Es Salaam","Tanzania","DAR","HTDA",-6.878111,39.202625,182,3,"U","Africa/Dar_es_Salaam" +1178,"Dodoma","Dodoma","Tanzania","DOD","HTDO",-6.170436,35.752578,3637,3,"U","Africa/Dar_es_Salaam" +1179,"Iringa","Iringa","Tanzania","IRI","HTIR",-7.668633,35.752114,4678,3,"U","Africa/Dar_es_Salaam" +1180,"Kilimanjaro Intl","Kilimanjaro","Tanzania","JRO","HTKJ",-3.429406,37.074461,2932,3,"U","Africa/Dar_es_Salaam" +1181,"Lake Manyara","Lake Manyara","Tanzania","LKY","HTLM",-3.376306,35.818278,4150,3,"N","Africa/Dar_es_Salaam" +1182,"Mtwara","Mtwara","Tanzania","MYW","HTMT",-10.339058,40.181781,371,3,"U","Africa/Dar_es_Salaam" +1183,"Mwanza","Mwanza","Tanzania","MWZ","HTMW",-2.444486,32.932667,3763,3,"U","Africa/Dar_es_Salaam" +1184,"Pemba","Pemba","Tanzania","PMA","HTPE",-5.257264,39.811417,80,3,"U","Africa/Dar_es_Salaam" +1185,"Tanga","Tanga","Tanzania","TGT","HTTG",-5.092358,39.071158,129,3,"U","Africa/Dar_es_Salaam" +1186,"Zanzibar","Zanzibar","Tanzania","ZNZ","HTZA",-6.222025,39.224886,54,3,"U","Africa/Dar_es_Salaam" +1187,"Entebbe Intl","Entebbe","Uganda","EBB","HUEN",0.042386,32.443503,3782,3,"U","Africa/Kampala" +6888,"Dusseldorf Hauptbahnhof","Dusseldorf","Germany","QDU",\N,51.220278,6.792778,125,1,"E","Europe/Berlin" +1189,"Soroti","Soroti","Uganda","SRT","HUSO",1.727578,33.622861,3641,3,"U","Africa/Kampala" +1190,"Tirana Rinas","Tirana","Albania","TIA","LATI",41.414742,19.720561,126,1,"E","Europe/Tirane" +1191,"Burgas","Bourgas","Bulgaria","BOJ","LBBG",42.569583,27.515236,135,2,"E","Europe/Sofia" +1192,"Gorna Oryahovitsa","Gorna Orechovica","Bulgaria","GOZ","LBGO",43.151444,25.712889,285,2,"E","Europe/Sofia" +1193,"Plovdiv","Plovdiv","Bulgaria","PDV","LBPD",42.067806,24.850833,597,2,"E","Europe/Sofia" +1194,"Sofia","Sofia","Bulgaria","SOF","LBSF",42.695194,23.406167,1742,2,"E","Europe/Sofia" +1195,"Stara Zagora","Stara Zagora","Bulgaria","","LBSZ",42.376667,25.655195,558,2,"E","Europe/Sofia" +1196,"Varna","Varna","Bulgaria","VAR","LBWN",43.232072,27.825106,230,2,"E","Europe/Sofia" +1197,"Larnaca","Larnaca","Cyprus","LCA","LCLK",34.875117,33.62485,8,2,"E","Asia/Nicosia" +1198,"Pafos Intl","Paphos","Cyprus","PFO","LCPH",34.718039,32.485731,41,2,"E","Asia/Nicosia" +1199,"Akrotiri","Akrotiri","Cyprus","AKT","LCRA",34.590416,32.987861,76,0,"E","Europe/London" +1200,"Dubrovnik","Dubrovnik","Croatia","DBV","LDDU",42.561353,18.268244,527,1,"E","Europe/Zagreb" +1201,"Cepin","Cepin","Croatia","","LDOC",45.542169,18.636233,299,1,"E","Europe/Zagreb" +1202,"Osijek","Osijek","Croatia","OSI","LDOS",45.462667,18.810156,290,1,"E","Europe/Zagreb" +1203,"Pula","Pula","Croatia","PUY","LDPL",44.893533,13.922192,274,1,"E","Europe/Zagreb" +1204,"Grobnicko Polje","Grobnik","Croatia","","LDRG",45.379483,14.503756,951,1,"E","Europe/Zagreb" +1205,"Rijeka","Rijeka","Croatia","RJK","LDRI",45.216889,14.570267,278,1,"E","Europe/Zagreb" +1206,"Split","Split","Croatia","SPU","LDSP",43.538944,16.297964,79,1,"E","Europe/Zagreb" +1207,"Varazdin","Varazdin","Croatia","","LDVA",46.294724,16.38125,548,1,"E","Europe/Zagreb" +1208,"Zagreb","Zagreb","Croatia","ZAG","LDZA",45.742931,16.068778,353,1,"E","Europe/Zagreb" +1209,"Zadar","Zadar","Croatia","ZAD","LDZD",44.108269,15.346697,289,1,"E","Europe/Zagreb" +1210,"Udbina","Udbina","Croatia","","LDZU",44.55761,15.774361,2462,1,"E","Europe/Zagreb" +1211,"Albacete","Albacete","Spain","","LEAB",38.948528,-1.863517,2302,1,"E","Europe/Madrid" +1212,"Alicante","Alicante","Spain","ALC","LEAL",38.282169,-0.558156,142,1,"E","Europe/Madrid" +1213,"Almeria","Almeria","Spain","LEI","LEAM",36.843936,-2.370097,70,1,"E","Europe/Madrid" +1214,"Asturias","Aviles","Spain","OVD","LEAS",43.563567,-6.034622,416,1,"E","Europe/Madrid" +1215,"Cordoba","Cordoba","Spain","ODB","LEBA",37.842006,-4.848878,297,1,"E","Europe/Madrid" +1216,"Bilbao","Bilbao","Spain","BIO","LEBB",43.301097,-2.910608,138,1,"E","Europe/Madrid" +1218,"Barcelona","Barcelona","Spain","BCN","LEBL",41.297078,2.078464,12,1,"E","Europe/Madrid" +1219,"Talavera La Real","Badajoz","Spain","BJZ","LEBZ",38.89125,-6.821333,609,1,"E","Europe/Madrid" +1220,"A Coruna","La Coruna","Spain","LCG","LECO",43.302061,-8.377256,326,1,"E","Europe/Madrid" +1221,"Armilla","Granada","Spain","","LEGA",37.133222,-3.635694,2297,1,"E","Europe/Madrid" +1222,"Girona","Gerona","Spain","GRO","LEGE",41.900969,2.760547,468,1,"E","Europe/Madrid" +1223,"Granada","Granada","Spain","GRX","LEGR",37.188731,-3.777356,1860,1,"E","Europe/Madrid" +1224,"Getafe","Madrid","Spain","","LEGT",40.294139,-3.723833,2029,1,"E","Europe/Madrid" +1225,"Ibiza","Ibiza","Spain","IBZ","LEIB",38.872858,1.373117,20,1,"E","Europe/Madrid" +1226,"Jerez","Jerez","Spain","XRY","LEJR",36.744622,-6.060111,93,1,"E","Europe/Madrid" +1227,"Murcia San Javier","Murcia","Spain","MJV","LELC",37.774972,-0.812389,11,1,"E","Europe/Madrid" +6887,"Alexion","Porto Heli","Greece","PKH","LGHL",37.298792,23.148986,2224,2,"E","Europe/Athens" +1229,"Barajas","Madrid","Spain","MAD","LEMD",40.493556,-3.566764,2000,1,"E","Europe/Madrid" +1230,"Malaga","Malaga","Spain","AGP","LEMG",36.6749,-4.499106,52,1,"E","Europe/Madrid" +1231,"Menorca","Menorca","Spain","MAH","LEMH",39.862597,4.218647,298,1,"E","Europe/Madrid" +1232,"Moron Ab","Sevilla","Spain","OZP","LEMO",37.174917,-5.615944,285,1,"E","Europe/Madrid" +1233,"Ocana","Ocana","Spain","","LEOC",39.9375,-3.503333,2405,1,"E","Europe/Madrid" +1234,"Pamplona","Pamplona","Spain","PNA","LEPP",42.770039,-1.646331,1504,1,"E","Europe/Madrid" +1235,"Alcantarilla","Murcia","Spain","","LERI",37.951111,-1.230319,250,1,"E","Europe/Madrid" +1236,"Reus","Reus","Spain","REU","LERS",41.147392,1.167172,234,1,"E","Europe/Madrid" +1237,"Rota Ns","Rota","Spain","","LERT",36.645211,-6.349458,86,1,"E","Europe/Madrid" +1238,"Salamanca","Salamanca","Spain","SLM","LESA",40.952117,-5.501986,2595,1,"E","Europe/Madrid" +1239,"Son Bonet","Son Bonet","Spain","","LESB",39.598889,2.702778,135,1,"E","Europe/Madrid" +1240,"Palma De Mallorca","Palma De Mallorca","Spain","","LESJ",39.551675,2.738808,27,1,"E","Europe/Madrid" +1241,"San Luis","San Luis","Spain","","LESL",39.862222,4.258333,197,1,"E","Europe/Madrid" +1242,"San Sebastian","San Sebastian","Spain","EAS","LESO",43.356519,-1.790611,15,1,"E","Europe/Madrid" +1243,"Santiago","Santiago","Spain","SCQ","LEST",42.896333,-8.415144,1213,1,"E","Europe/Madrid" +1244,"Seo De Urgel","Seo De Urgel","Spain","LEU","LESU",42.338611,1.409167,2625,1,"E","Europe/Madrid" +1245,"Torrejon","Madrid","Spain","TOJ","LETO",40.496747,-3.445872,2026,1,"E","Europe/Madrid" +1246,"Valencia","Valencia","Spain","VLC","LEVC",39.489314,-0.481625,225,1,"E","Europe/Madrid" +1247,"Valladolid","Valladolid","Spain","VLL","LEVD",41.706111,-4.851944,2775,1,"E","Europe/Madrid" +1248,"Cuatro Vientos","Madrid","Spain","","LEVS",40.370678,-3.785144,2267,1,"E","Europe/Madrid" +1249,"Vitoria","Vitoria","Spain","VIT","LEVT",42.882836,-2.724469,1682,1,"E","Europe/Madrid" +1250,"Vigo","Vigo","Spain","VGO","LEVX",42.2318,-8.626775,855,1,"E","Europe/Madrid" +1251,"Santander","Santander","Spain","SDR","LEXJ",43.427064,-3.820006,16,1,"E","Europe/Madrid" +1252,"Zaragoza Ab","Zaragoza","Spain","ZAZ","LEZG",41.666242,-1.041553,863,1,"E","Europe/Madrid" +1253,"Sevilla","Sevilla","Spain","SVQ","LEZL",37.418,-5.893106,111,1,"E","Europe/Madrid" +1254,"Calais Dunkerque","Calais","France","CQF","LFAC",50.962097,1.954764,12,1,"E","Europe/Paris" +1255,"Peronne St Quentin","Peronne","France","","LFAG",49.868547,3.029578,295,1,"E","Europe/Paris" +1256,"Les Loges","Nangis","France","","LFAI",48.596219,3.006786,428,1,"E","Europe/Paris" +1257,"Couterne","Bagnole-de-l'orne","France","","LFAO",48.545836,-0.387444,718,1,"E","Europe/Paris" +1258,"Bray","Albert","France","","LFAQ",49.971531,2.697661,364,1,"E","Europe/Paris" +1259,"Le Touquet Paris Plage","Le Tourquet","France","LTQ","LFAT",50.517385,1.620587,36,1,"E","Europe/Paris" +1260,"Denain","Valenciennes","France","","LFAV",50.325808,3.461264,177,1,"E","Europe/Paris" +1261,"Glisy","Amiens","France","","LFAY",49.873019,2.387075,208,1,"E","Europe/Paris" +1262,"La Garenne","Agen","France","AGF","LFBA",44.174721,0.590556,204,1,"E","Europe/Paris" +1263,"Cazaux","Cazaux","France","","LFBC",44.533333,-1.125,84,1,"E","Europe/Paris" +1264,"Merignac","Bordeaux","France","BOD","LFBD",44.828335,-0.715556,162,1,"E","Europe/Paris" +1265,"Roumaniere","Bergerac","France","EGC","LFBE",44.825279,0.518611,171,1,"E","Europe/Paris" +1266,"Francazal","Toulouse","France","","LFBF",43.545555,1.3675,535,1,"E","Europe/Paris" +1267,"Chateaubernard","Cognac","France","CNG","LFBG",45.658333,-0.3175,102,1,"E","Europe/Paris" +1268,"Biard","Poitiers","France","PIS","LFBI",46.587745,0.306666,423,1,"E","Europe/Paris" +1269,"Montlucon Gueret","Montlucon-gueret","France","","LFBK",46.222644,2.363964,1497,1,"E","Europe/Paris" +1270,"Bellegarde","Limoges","France","LIG","LFBL",45.862778,1.179444,1300,1,"E","Europe/Paris" +1271,"Mont De Marsan","Mont-de-marsan","France","","LFBM",43.911667,-0.5075,203,1,"E","Europe/Paris" +1272,"Souche","Niort","France","NIT","LFBN",46.311303,-0.401503,203,1,"E","Europe/Paris" +1273,"Blagnac","Toulouse","France","TLS","LFBO",43.629075,1.363819,499,1,"E","Europe/Paris" +1274,"Pau Pyrenees","Pau","France","PUF","LFBP",43.38,-0.418611,616,1,"E","Europe/Paris" +1275,"Lherm","La Rochelle","France","","LFBR",43.448891,1.263333,622,1,"E","Europe/Paris" +1276,"Lourdes","Tarbes","France","LDE","LFBT",43.178675,-0.006439,1260,1,"E","Europe/Paris" +1277,"Brie Champniers","Angouleme","France","ANG","LFBU",45.729247,0.221456,436,1,"E","Europe/Paris" +1278,"La Roche","Brive","France","BVE","LFSL",45.150833,1.469167,379,1,"E","Europe/Paris" +1279,"Bassillac","Perigueux","France","PGX","LFBX",45.198055,0.815556,328,1,"E","Europe/Paris" +1280,"Anglet","Biarritz-bayonne","France","BIQ","LFBZ",43.468419,-1.523325,245,1,"E","Europe/Paris" +1281,"Lalbenque","Cahors","France","","LFCC",44.351387,1.475278,912,1,"E","Europe/Paris" +1282,"Antichan","St.-girons","France","","LFCG",43.007764,1.10315,1368,1,"E","Europe/Paris" +1283,"La Teste De Buch","Arcachon","France","XAC","LFCH",44.59639,-1.110833,49,1,"E","Europe/Paris" +1284,"Le Sequestre","Albi","France","LBI","LFCI",43.913887,2.113056,564,1,"E","Europe/Paris" +1285,"Mazamet","Castres","France","DCM","LFCK",43.55625,2.289183,788,1,"E","Europe/Paris" +1286,"Lasbordes","Toulouse","France","","LFCL",43.586113,1.499167,459,1,"E","Europe/Paris" +1287,"Larzac","Millau","France","","LFCM",43.989342,3.183,2606,1,"E","Europe/Paris" +1288,"Montdragon","Graulhet","France","","LFCQ",43.771111,2.010833,581,1,"E","Europe/Paris" +1289,"Marcillac","Rodez","France","RDZ","LFCR",44.407869,2.482672,1910,1,"E","Europe/Paris" +1290,"Thalamy","Ussel","France","","LFCU",45.534721,2.423889,2428,1,"E","Europe/Paris" +1291,"Villeneuve Sur Lot","Villeneuve-sur-lot","France","","LFCW",44.396946,0.758889,190,1,"E","Europe/Paris" +1292,"Medis","Royan","France","RYN","LFCY",45.628056,-0.9725,72,1,"E","Europe/Paris" +1293,"Mimizan","Mimizan","France","","LFCZ",44.146111,-1.174444,164,1,"E","Europe/Paris" +1294,"Aire Sur L Adour","Aire-sur-l'adour","France","","LFDA",43.709444,-0.245278,259,1,"E","Europe/Paris" +1295,"Montauban","Montauban","France","","LFDB",44.025694,1.378042,351,1,"E","Europe/Paris" +1296,"Lamothe","Auch","France","","LFDH",43.687778,0.601667,411,1,"E","Europe/Paris" +1297,"Artigues De Lussac","Libourne","France","","LFDI",44.982498,-0.134722,157,1,"E","Europe/Paris" +1298,"Les Pujols","Pamiers","France","","LFDJ",43.090556,1.695833,1115,1,"E","Europe/Paris" +1299,"Virazeil","Marmande","France","","LFDM",44.498919,0.200514,105,1,"E","Europe/Paris" +1300,"St Agnant","Rochefort","France","RCO","LFDN",45.887779,-0.983056,60,1,"E","Europe/Paris" +1301,"Pontivy","Pontivy","France","","LFED",48.056789,-2.921244,407,1,"E","Europe/Paris" +1302,"Aubigny Sur Nere","Aubigny-sur-nere","France","","LFEH",47.474167,2.393055,630,1,"E","Europe/Paris" +1303,"Scaer","Guiscriff-scaer","France","","LFES",48.052508,-3.664717,574,1,"E","Europe/Paris" +1305,"Ancenis","Ancenis","France","","LFFI",47.408056,-1.1775,111,1,"E","Europe/Paris" +1306,"Brienne Le Chateau","Brienne-le Chateau","France","","LFFN",48.429764,4.482222,381,1,"E","Europe/Paris" +1307,"Houssen","Colmar","France","CMR","LFGA",48.109853,7.359011,628,1,"E","Europe/Paris" +1308,"Challanges","Beaune","France","","LFGF",47.005886,4.893425,656,1,"E","Europe/Paris" +1309,"Tavaux","Dole","France","DLE","LFGJ",47.039014,5.42725,645,1,"E","Europe/Paris" +1310,"Joigny","Joigny","France","","LFGK",47.992222,3.392222,732,1,"E","Europe/Paris" +1311,"Le Rozelier","Verdun","France","","LFGW",49.122383,5.469047,1230,1,"E","Europe/Paris" +1312,"Ardeche Meridionale","Aubenas-vals-lanas","France","OBS","LFHO",44.544236,4.372192,923,1,"E","Europe/Paris" +1313,"Loudes","Le Puy","France","LPY","LFHP",45.080689,3.762889,2731,1,"E","Europe/Paris" +1314,"Coltines","St.-flour","France","","LFHQ",45.076389,2.993611,3218,1,"E","Europe/Paris" +1315,"Ceyzeriat","Bourg","France","XBK","LFHS",46.20089,5.292028,857,1,"E","Europe/Paris" +1316,"Tarare","Vilefrance","France","XVF","LFHV",45.901947,4.634906,1076,1,"E","Europe/Paris" +1317,"Montbeugny","Moulins","France","XMU","LFHY",46.534581,3.423725,915,1,"E","Europe/Paris" +1318,"Belmont","St.-afrique-belmont","France","","LFIF",43.823334,2.745278,1686,1,"E","Europe/Paris" +1319,"Cassagnes Begonhes","Cassagnes-beghones","France","","LFIG",44.177776,2.515,2024,1,"E","Europe/Paris" +1320,"Metz Nancy Lorraine","Metz","France","ETZ","LFJL",48.982142,6.251319,870,1,"E","Europe/Paris" +1321,"Poretta","Bastia","France","BIA","LFKB",42.552664,9.483731,26,1,"E","Europe/Paris" +1322,"Saint Catherine","Calvi","France","CLY","LFKC",42.530753,8.793189,209,1,"E","Europe/Paris" +1323,"Sud Corse","Figari","France","FSC","LFKF",41.500557,9.097777,87,1,"E","Europe/Paris" +1324,"Campo Dell Oro","Ajaccio","France","AJA","LFKJ",41.923637,8.802917,18,1,"E","Europe/Paris" +1325,"Propriano","Propriano","France","","LFKO",41.660558,8.889747,13,1,"E","Europe/Paris" +1326,"Solenzara","Solenzara","France","SOZ","LFKS",41.924416,9.406,28,1,"E","Europe/Paris" +1327,"Corte","Corte","France","","LFKT",42.29361,9.193055,1132,1,"E","Europe/Paris" +1328,"Branches","Auxerre","France","AUF","LFLA",47.850193,3.497111,523,1,"E","Europe/Paris" +1329,"Aix Les Bains","Chambery","France","CMF","LFLB",45.63805,5.880225,779,1,"E","Europe/Paris" +1330,"Auvergne","Clermont-Ferrand","France","CFE","LFLC",45.786661,3.169169,1090,1,"E","Europe/Paris" +1331,"Bourges","Bourges","France","BOU","LFLD",47.058056,2.370278,529,1,"E","Europe/Paris" +1332,"Challes Les Eaux","Chambery","France","","LFLE",45.56105,5.975761,973,1,"E","Europe/Paris" +1333,"Champforgeuil","Chalon","France","XCD","LFLH",46.826108,4.817633,623,1,"E","Europe/Paris" +1334,"Annemasse","Annemasse","France","QNJ","LFLI",46.191972,6.268386,1620,1,"E","Europe/Paris" +1335,"Saint Exupery","Lyon","France","LYS","LFLL",45.726387,5.090833,821,1,"E","Europe/Paris" +1336,"Charnay","Macon","France","QNX","LFLM",46.295103,4.795767,728,1,"E","Europe/Paris" +1337,"Saint Yan","St.-yan","France","","LFLN",46.412536,4.013264,796,1,"E","Europe/Paris" +1338,"Renaison","Roanne","France","RNE","LFLO",46.058334,4.001389,1106,1,"E","Europe/Paris" +1339,"Meythet","Annecy","France","NCY","LFLP",45.929233,6.098764,1521,1,"E","Europe/Paris" +1340,"Saint Geoirs","Grenoble","France","GNB","LFLS",45.362944,5.329375,1302,1,"E","Europe/Paris" +1341,"Domerat","Montlucon","France","MCU","LFLT",46.352525,2.570486,771,1,"E","Europe/Paris" +1342,"Chabeuil","Valence","France","VAF","LFLU",44.921594,4.9699,525,1,"E","Europe/Paris" +1343,"Charmeil","Vichy","France","VHY","LFLV",46.169689,3.403736,817,1,"E","Europe/Paris" +1344,"Aurillac","Aurillac","France","AUR","LFLW",44.891388,2.421944,2096,1,"E","Europe/Paris" +1345,"Deols","Chateauroux","France","CHR","LFLX",46.862194,1.730667,529,1,"E","Europe/Paris" +1346,"Bron","Lyon","France","LYN","LFLY",45.727172,4.944275,659,1,"E","Europe/Paris" +1347,"Aix Les Milles","Aix-les-milles","France","QXB","LFMA",43.505554,5.367778,367,1,"E","Europe/Paris" +1348,"Le Cannet","Le Luc","France","","LFMC",43.384672,6.387139,265,1,"E","Europe/Paris" +1349,"Mandelieu","Cannes","France","CEQ","LFMD",43.54205,6.953478,13,1,"E","Europe/Paris" +1350,"Boutheon","St-Etienne","France","EBU","LFMH",45.540554,4.296389,1325,1,"E","Europe/Paris" +1351,"Le Tube","Istres","France","","LFMI",43.522736,4.923844,82,1,"E","Europe/Paris" +1352,"Salvaza","Carcassonne","France","CCF","LFMK",43.215978,2.306317,433,1,"E","Europe/Paris" +1353,"Provence","Marseille","France","MRS","LFML",43.435555,5.213611,74,1,"E","Europe/Paris" +1354,"Cote D\\'Azur","Nice","France","NCE","LFMN",43.658411,7.215872,12,1,"E","Europe/Paris" +1355,"Caritat","Orange","France","","LFMO",44.140481,4.866717,197,1,"E","Europe/Paris" +1356,"Rivesaltes","Perpignan","France","PGF","LFMP",42.740442,2.870667,144,1,"E","Europe/Paris" +1357,"Le Castellet","Le Castellet","France","CTT","LFMQ",43.252506,5.785189,1391,1,"E","Europe/Paris" +1358,"Deaux","Ales","France","","LFMS",44.069656,4.142122,668,1,"E","Europe/Paris" +1359,"Mediterranee","Montpellier","France","MPL","LFMT",43.576194,3.963014,17,1,"E","Europe/Paris" +1360,"Vias","Beziers","France","BZR","LFMU",43.323522,3.353903,56,1,"E","Europe/Paris" +1361,"Caumont","Avignon","France","AVN","LFMV",43.9073,4.901831,124,1,"E","Europe/Paris" +1362,"Salon","Salon","France","","LFMY",43.606415,5.10925,195,1,"E","Europe/Paris" +1363,"Lezignan Corbieres","Lezignan-corbieres","France","","LFMZ",43.175835,2.734167,207,1,"E","Europe/Paris" +1364,"Brenoux","Mende","France","MEN","LFNB",44.502108,3.532819,3362,1,"E","Europe/Paris" +1365,"Carpentras","Carpentras","France","","LFNH",44.029847,5.078058,394,1,"E","Europe/Paris" +1366,"Avord","Avord","France","","LFOA",47.053333,2.6325,580,1,"E","Europe/Paris" +1367,"Tille","Beauvais","France","BVA","LFOB",49.454444,2.112778,359,1,"E","Europe/Paris" +1368,"Chateaudun","Chateaudun","France","","LFOC",48.058142,1.376625,433,1,"E","Europe/Paris" +1369,"St Florent","Saumur","France","","LFOD",47.256839,-0.115142,269,1,"E","Europe/Paris" +1370,"Fauville","Evreux","France","","LFOE",49.028669,1.219864,464,1,"E","Europe/Paris" +1371,"Octeville","Le Havre","France","LEH","LFOH",49.533889,0.088056,312,1,"E","Europe/Paris" +1372,"Abbeville","Abbeville","France","","LFOI",50.143492,1.831892,220,1,"E","Europe/Paris" +1373,"Bricy","Orleans","France","ORE","LFOJ",47.987778,1.760556,412,1,"E","Europe/Paris" +1374,"Vatry","Chalons","France","XCR","LFOK",48.776072,4.184492,587,1,"E","Europe/Paris" +1375,"Vallee De Seine","Rouen","France","URO","LFOP",49.384172,1.1748,512,1,"E","Europe/Paris" +1376,"Val De Loire","Tours","France","TUF","LFOT",47.432222,0.727606,357,1,"E","Europe/Paris" +1377,"Le Pontreau","Cholet","France","CET","LFOU",47.082136,-0.877064,443,1,"E","Europe/Paris" +1378,"Entrammes","Laval","France","LVA","LFOV",48.031361,-0.742986,330,1,"E","Europe/Paris" +1379,"St Denis De L Hotel","Orleans","France","","LFOZ",47.896946,2.163333,396,1,"E","Europe/Paris" +1380,"Le Bourget","Paris","France","LBG","LFPB",48.969444,2.441389,218,1,"E","Europe/Paris" +1381,"Creil","Creil","France","CSF","LFPC",49.253547,2.519139,291,1,"E","Europe/Paris" +1382,"Charles De Gaulle","Paris","France","CDG","LFPG",49.012779,2.55,392,1,"E","Europe/Paris" +1383,"Voisins","Coulommiers","France","","LFPK",48.837653,3.016117,470,1,"E","Europe/Paris" +1384,"Villaroche","Melun","France","","LFPM",48.604725,2.671119,302,1,"E","Europe/Paris" +1385,"Toussus Le Noble","Toussous-le-noble","France","TNF","LFPN",48.751922,2.106189,538,1,"E","Europe/Paris" +1386,"Orly","Paris","France","ORY","LFPO",48.725278,2.359444,291,1,"E","Europe/Paris" +1387,"Cormeilles En Vexin","Pontoise","France","POX","LFPT",49.096647,2.040833,325,1,"E","Europe/Paris" +1388,"Velizy","Villacoublay","France","","LFPV",48.774406,2.201536,584,1,"E","Europe/Paris" +1389,"Prunay","Reims","France","","LFQA",49.208689,4.156581,313,1,"E","Europe/Paris" +1390,"Barberey","Troyes","France","QYR","LFQB",48.322136,4.016703,388,1,"E","Europe/Paris" +1391,"Croismare","Luneville","France","","LFQC",48.593275,6.543456,790,1,"E","Europe/Paris" +1392,"Rouvres","Etain","France","","LFQE",49.226917,5.672219,770,1,"E","Europe/Paris" +1393,"Bellevue","Autun","France","","LFQF",46.967283,4.260572,997,1,"E","Europe/Paris" +1394,"Fourchambault","Nevers","France","NVS","LFQG",47.002625,3.113333,602,1,"E","Europe/Paris" +1395,"Epinoy","Cambrai","France","","LFQI",50.221814,3.154236,257,1,"E","Europe/Paris" +1396,"Elesmes","Maubeuge","France","","LFQJ",50.310467,4.033119,452,1,"E","Europe/Paris" +1397,"La Veze","Besancon-la-veze","France","","LFQM",47.206567,6.083681,1271,1,"E","Europe/Paris" +1398,"Bourscheid","Phalsbourg","France","","LFQP",48.76625,7.200519,1017,1,"E","Europe/Paris" +1399,"Lesquin","Lille","France","LIL","LFQQ",50.561942,3.089444,157,1,"E","Europe/Paris" +1400,"Calonne","Merville","France","","LFQT",50.618394,2.642242,61,1,"E","Europe/Paris" +1401,"Charleville Mezieres","Charleville","France","","LFQV",49.783942,4.647078,492,1,"E","Europe/Paris" +1402,"Frotey","Vesoul-frotey","France","","LFQW",47.637611,6.203922,1249,1,"E","Europe/Paris" +1403,"Guipavas","Brest","France","BES","LFRB",48.447911,-4.418539,325,1,"E","Europe/Paris" +1404,"Maupertus","Cherbourg","France","CER","LFRC",49.650106,-1.470281,459,1,"E","Europe/Paris" +1405,"Pleurtuit","Dinard","France","DNR","LFRD",48.587683,-2.079958,219,1,"E","Europe/Paris" +1406,"Escoublac","La Baule","France","","LFRE",47.289444,-2.346389,105,1,"E","Europe/Paris" +1407,"Granville","Granville","France","GFR","LFRF",48.883057,-1.564167,45,1,"E","Europe/Paris" +1408,"St Gatien","Deauville","France","DOL","LFRG",49.365339,0.154306,479,1,"E","Europe/Paris" +1409,"Lann Bihoue","Lorient","France","LRT","LFRH",47.760555,-3.44,160,1,"E","Europe/Paris" +1410,"Les Ajoncs","La Roche-sur-yon","France","EDM","LFRI",46.701944,-1.378625,299,1,"E","Europe/Paris" +1411,"Landivisiau","Landivisiau","France","","LFRJ",48.530258,-4.151642,348,1,"E","Europe/Paris" +1412,"Carpiquet","Caen","France","CFR","LFRK",49.173333,-0.45,256,1,"E","Europe/Paris" +1413,"Poulmic","Lanvedoc","France","","LFRL",48.281703,-4.445017,287,1,"E","Europe/Paris" +1414,"Arnage","Le Mans","France","LME","LFRM",47.948611,0.201667,194,1,"E","Europe/Paris" +1415,"St Jacques","Rennes","France","RNS","LFRN",48.069508,-1.734794,124,1,"E","Europe/Paris" +1416,"Lannion","Lannion","France","LAI","LFRO",48.754378,-3.471656,290,1,"E","Europe/Paris" +1417,"Pluguffan","Quimper","France","UIP","LFRQ",47.974981,-4.167786,297,1,"E","Europe/Paris" +1418,"Nantes Atlantique","Nantes","France","NTE","LFRS",47.153189,-1.610725,90,1,"E","Europe/Paris" +1419,"Armor","St.-brieuc Armor","France","SBK","LFRT",48.537777,-2.854445,453,1,"E","Europe/Paris" +1420,"Ploujean","Morlaix","France","MXN","LFRU",48.603222,-3.815783,272,1,"E","Europe/Paris" +1421,"Meucon","Vannes","France","VNE","LFRV",47.723303,-2.718561,440,1,"E","Europe/Paris" +1422,"Montoir","St.-nazaire","France","SNR","LFRZ",47.312189,-2.149181,13,1,"E","Europe/Paris" +1423,"Bale Mulhouse","Mulhouse","France","MLH","LFSB",47.589583,7.529914,885,1,"E","Europe/Paris" +1424,"Meyenheim","Colmar","France","","LFSC",47.921978,7.399669,693,1,"E","Europe/Paris" +1425,"Longvic","Dijon","France","DIJ","LFSD",47.26889,5.09,726,1,"E","Europe/Paris" +1426,"Frescaty","Metz","France","MZM","LFSF",49.071667,6.131667,629,1,"E","Europe/Paris" +1427,"Mirecourt","Epinal","France","EPL","LFSG",48.324961,6.069983,1084,1,"E","Europe/Paris" +1428,"Haguenau","Haguenau","France","","LFSH",48.794331,7.817613,491,1,"E","Europe/Paris" +1429,"Robinson","St.-dizier","France","","LFSI",48.636008,4.899417,458,1,"E","Europe/Paris" +1430,"Courcelles","Montbeliard","France","","LFSM",47.487,6.790536,1041,1,"E","Europe/Paris" +1431,"Essey","Nancy","France","ENC","LFSN",48.692069,6.230458,751,1,"E","Europe/Paris" +1432,"Ochey","Nancy","France","","LFSO",48.583056,5.955,1106,1,"E","Europe/Paris" +1433,"Pontarlier","Pontarlier","France","","LFSP",46.903958,6.327367,2683,1,"E","Europe/Paris" +1434,"Champagne","Reims","France","RHE","LFSR",49.31,4.05,312,1,"E","Europe/Paris" +1435,"Entzheim","Strasbourg","France","SXB","LFST",48.538319,7.628233,505,1,"E","Europe/Paris" +1436,"Saint Sauveur","Luxeuil","France","","LFSX",47.783131,6.364056,913,1,"E","Europe/Paris" +1437,"Pierrefeu","Cuers","France","","LFTF",43.247803,6.126697,266,1,"E","Europe/Paris" +1438,"Le Palyvestre","Hyeres","France","TLN","LFTH",43.0973,6.14603,7,1,"E","Europe/Paris" +1439,"Garons","Nimes","France","FNI","LFTW",43.757444,4.416347,309,1,"E","Europe/Paris" +1440,"Miquelon","Miquelon","Saint Pierre and Miquelon","MQC","LFVM",47.095472,-56.380278,10,-3,"U","America/Miquelon" +1441,"St Pierre","St.-pierre","Saint Pierre and Miquelon","FSP","LFVP",46.762904,-56.173088,27,-3,"U","America/Miquelon" +1442,"Amberieu","Amberieu","France","","LFXA",45.987335,5.328445,823,1,"E","Europe/Paris" +1443,"Damblain","Damblain","France","","LFYD",48.086325,5.664058,1280,1,"E","Europe/Paris" +1444,"Andravida","Andravida","Greece","PYR","LGAD",37.920708,21.292583,55,2,"E","Europe/Athens" +1445,"Agrinion","Agrinion","Greece","AGQ","LGAG",38.602022,21.351208,154,2,"E","Europe/Athens" +1446,"Dimokritos","Alexandroupolis","Greece","AXD","LGAL",40.855869,25.956264,24,2,"E","Europe/Athens" +1447,"Alexandria","Alexandria","Greece","","LGAX",40.651128,22.488739,27,2,"E","Europe/Athens" +1448,"Nea Anchialos","Nea Anghialos","Greece","VOL","LGBL",39.219619,22.794339,83,2,"E","Europe/Athens" +1449,"Elefsis","Elefsis","Greece","","LGEL",38.063831,23.556011,143,2,"E","Europe/Athens" +1450,"Chios","Chios","Greece","JKH","LGHI",38.343175,26.140572,15,2,"E","Europe/Athens" +1451,"Ioannina","Ioannina","Greece","IOA","LGIO",39.696388,20.8225,1558,2,"E","Europe/Athens" +1452,"Nikos Kazantzakis","Heraklion","Greece","HER","LGIR",35.339719,25.180297,115,2,"E","Europe/Athens" +1453,"Aristotelis","Kastoria","Greece","KSO","LGKA",40.446294,21.282186,2167,2,"E","Europe/Athens" +1454,"Kithira","Kithira","Greece","KIT","LGKC",36.274258,23.016978,1045,2,"E","Europe/Athens" +1455,"Kefallinia","Keffallinia","Greece","EFL","LGKF",38.120069,20.500481,59,2,"E","Europe/Athens" +1456,"Kalamata","Kalamata","Greece","KLX","LGKL",37.068319,22.025525,26,2,"E","Europe/Athens" +1457,"Amigdhaleon","Kavala","Greece","","LGKM",40.972775,24.341417,203,2,"E","Europe/Athens" +1458,"Kos","Kos","Greece","KGS","LGKO",36.793335,27.091667,412,2,"E","Europe/Athens" +1459,"Karpathos","Karpathos","Greece","AOK","LGKP",35.421408,27.146008,66,2,"E","Europe/Athens" +1460,"Ioannis Kapodistrias Intl","Kerkyra/corfu","Greece","CFU","LGKR",39.601944,19.911667,6,2,"E","Europe/Athens" +1461,"Kasos","Kasos","Greece","KSJ","LGKS",35.421358,26.910047,35,2,"E","Europe/Athens" +1462,"Megas Alexandros Intl","Kavala","Greece","KVA","LGKV",40.913306,24.619223,18,2,"E","Europe/Athens" +1463,"Filippos","Kozani","Greece","KZI","LGKZ",40.28611,21.840834,2059,2,"E","Europe/Athens" +1464,"Leros","Leros","Greece","LRS","LGLE",37.184903,26.800289,39,2,"E","Europe/Athens" +1465,"Limnos","Limnos","Greece","LXS","LGLM",39.917072,25.236308,14,2,"E","Europe/Athens" +1466,"Larisa","Larissa","Greece","LRA","LGLR",39.650253,22.4655,241,2,"E","Europe/Athens" +1467,"Megara","Megara","Greece","","LGMG",37.981114,23.365422,12,2,"E","Europe/Athens" +1468,"Mikonos","Mykonos","Greece","JMK","LGMK",37.435128,25.348103,405,2,"E","Europe/Athens" +1469,"Mitilini","Mytilini","Greece","MJT","LGMT",39.056667,26.598333,60,2,"E","Europe/Athens" +1470,"Aktio","Preveza","Greece","PVK","LGPZ",38.925467,20.765311,11,2,"E","Europe/Athens" +1471,"Maritsa","Rhodos","Greece","","LGRD",36.383056,28.108889,204,2,"E","Europe/Athens" +1472,"Rhodes Diagoras","Rhodos","Greece","RHO","LGRP",36.405419,28.086192,17,2,"E","Europe/Athens" +1473,"Araxos","Patras","Greece","GPA","LGRX",38.151111,21.425556,46,2,"E","Europe/Athens" +1474,"Souda","Chania","Greece","CHQ","LGSA",35.531747,24.149678,490,2,"E","Europe/Athens" +1475,"Alexandros Papadiamantis","Skiathos","Greece","JSI","LGSK",39.1771,23.503675,54,2,"E","Europe/Athens" +1476,"Samos","Samos","Greece","SMI","LGSM",37.689999,26.911667,19,2,"E","Europe/Athens" +6886,"Ashford","Lympne","United Kingdom","LYM","EGMK",51.083333,1.016667,351,0,"E","Europe/London" +1478,"Sparti","Sparti","Greece","","LGSP",36.973892,22.526292,500,2,"E","Europe/Athens" +1479,"Santorini","Thira","Greece","JTR","LGSR",36.399169,25.479333,127,2,"E","Europe/Athens" +1480,"Sitia","Sitia","Greece","JSH","LGST",35.216108,26.101325,376,2,"E","Europe/Athens" +1481,"Stefanovikion","Stefanovikion","Greece","","LGSV",39.48,22.767222,146,2,"E","Europe/Athens" +1482,"Skiros","Skiros","Greece","SKU","LGSY",38.967553,24.487228,44,2,"E","Europe/Athens" +1483,"Tanagra","Tanagra","Greece","","LGTG",38.339847,23.564958,485,2,"E","Europe/Athens" +1484,"Kasteli","Kasteli","Greece","","LGTL",35.192019,25.327,1180,2,"E","Europe/Athens" +1485,"Tripolis","Tripolis","Greece","","LGTP",37.530567,22.403633,2113,2,"E","Europe/Athens" +1486,"Makedonia","Thessaloniki","Greece","SKG","LGTS",40.519725,22.97095,22,2,"E","Europe/Athens" +1487,"Tatoi","Dekelia","Greece","","LGTT",38.108928,23.783836,785,2,"E","Europe/Athens" +1488,"Dionysios Solomos","Zakynthos","Greece","ZTH","LGZA",37.750853,20.88425,15,2,"E","Europe/Athens" +1489,"Ferihegy","Budapest","Hungary","BUD","LHBP",47.436933,19.255592,495,1,"E","Europe/Budapest" +1490,"Debrecen","Debrecen","Hungary","DEB","LHDC",47.488917,21.615333,359,1,"E","Europe/Budapest" +1491,"Kecskemet","Kecskemet","Hungary","","LHKE",46.9175,19.749222,376,1,"E","Europe/Budapest" +1492,"Nyiregyhaza","Nyirregyhaza","Hungary","","LHNY",47.983892,21.692317,338,1,"E","Europe/Budapest" +1493,"Ocseny","Ocseny","Hungary","","LHOY",46.303889,18.769167,295,1,"E","Europe/Budapest" +6885,"Door County Cherryland Airport","Sturgeon Bay","United States","SUE",\N,44.8436667,-87.4215556,725,-6,"U","America/Chicago" +1496,"Szentkiralyszabadja","Azentkilyszabadja","Hungary","","LHSA",47.077861,17.968444,919,1,"E","Europe/Budapest" +1498,"Szolnok","Szolnok","Hungary","","LHSN",47.122861,20.2355,322,1,"E","Europe/Budapest" +1499,"Amendola","Amendola","Italy","","LIBA",41.541392,15.718083,183,1,"E","Europe/Rome" +1500,"Crotone","Crotone","Italy","CRV","LIBC",38.997225,17.080169,521,1,"E","Europe/Rome" +1501,"Bari","Bari","Italy","BRI","LIBD",41.138856,16.760594,177,1,"E","Europe/Rome" +1502,"Gino Lisa","Foggia","Italy","FOG","LIBF",41.432917,15.535028,266,1,"E","Europe/Rome" +1503,"Grottaglie","Grottaglie","Italy","TAR","LIBG",40.517514,17.403212,215,1,"E","Europe/Rome" +1504,"Lecce","Lecce","Italy","LCC","LIBN",40.239228,18.133325,156,1,"E","Europe/Rome" +1505,"Pescara","Pescara","Italy","PSR","LIBP",42.431656,14.181067,48,1,"E","Europe/Rome" +1506,"Casale","Brindisi","Italy","BDS","LIBR",40.657633,17.947033,47,1,"E","Europe/Rome" +1507,"Gioia Del Colle","Gioia Del Colle","Italy","","LIBV",40.767833,16.933333,1187,1,"E","Europe/Rome" +1508,"Lamezia Terme","Lamezia","Italy","SUF","LICA",38.905394,16.242269,39,1,"E","Europe/Rome" +1509,"Catania Fontanarossa","Catania","Italy","CTA","LICC",37.466781,15.0664,39,1,"E","Europe/Rome" +1510,"Lampedusa","Lampedusa","Italy","LMP","LICD",35.497914,12.618083,70,1,"E","Europe/Rome" +1511,"Pantelleria","Pantelleria","Italy","PNL","LICG",36.816519,11.968864,635,1,"E","Europe/Rome" +1512,"Palermo","Palermo","Italy","PMO","LICJ",38.175958,13.091019,65,1,"E","Europe/Rome" +1513,"Boccadifalco","Palermo","Italy","","LICP",38.110833,13.313333,345,1,"E","Europe/Rome" +1514,"Reggio Calabria","Reggio Calabria","Italy","REG","LICR",38.071206,15.651556,96,1,"E","Europe/Rome" +1515,"Trapani Birgi","Trapani","Italy","TPS","LICT",37.911403,12.487961,24,1,"E","Europe/Rome" +1516,"Sigonella","Sigonella","Italy","NSY","LICZ",37.401664,14.922358,79,1,"E","Europe/Rome" +1517,"Alghero","Alghero","Italy","AHO","LIEA",40.632133,8.290772,87,1,"E","Europe/Rome" +1518,"Decimomannu","Decimomannu","Italy","DCI","LIED",39.354222,8.972481,100,1,"E","Europe/Rome" +1519,"Elmas","Cagliari","Italy","CAG","LIEE",39.251469,9.054283,13,1,"E","Europe/Rome" +1520,"Olbia Costa Smeralda","Olbia","Italy","OLB","LIEO",40.898661,9.517628,37,1,"E","Europe/Rome" +1521,"Tortoli","Tortoli","Italy","TTB","LIET",39.918761,9.682981,23,1,"E","Europe/Rome" +1522,"Aeritalia","Turin","Italy","","LIMA",45.086353,7.603375,943,1,"E","Europe/Rome" +1523,"Bresso","Milano","Italy","","LIMB",45.542222,9.203333,484,1,"E","Europe/Rome" +1524,"Malpensa","Milano","Italy","MXP","LIMC",45.630606,8.728111,767,1,"E","Europe/Rome" +1525,"Bergamo Orio Al Serio","Bergamo","Italy","BGY","LIME",45.673889,9.704166,782,1,"E","Europe/Rome" +1526,"Torino","Torino","Italy","TRN","LIMF",45.200761,7.649631,989,1,"E","Europe/Rome" +1527,"Albenga","Albenga","Italy","ALL","LIMG",44.050608,8.127428,148,1,"E","Europe/Rome" +1528,"Genova Sestri","Genoa","Italy","GOA","LIMJ",44.413333,8.8375,13,1,"E","Europe/Rome" +1529,"Linate","Milan","Italy","LIN","LIML",45.445103,9.276739,353,1,"E","Europe/Rome" +1530,"Cameri","Cameri","Italy","","LIMN",45.529592,8.669225,586,1,"E","Europe/Rome" +1531,"Parma","Parma","Italy","PMF","LIMP",44.824483,10.296367,161,1,"E","Europe/Rome" +1532,"Piacenza","Piacenza","Italy","QPZ","LIMS",44.913055,9.723333,456,1,"E","Europe/Rome" +6884,"Shoestring Aviation Airfield","Stewartstown","United States","0P2",\N,39.7948244,-76.6471914,1000,-5,"U","America/New_York" +1534,"Levaldigi","Cuneo","Italy","CUF","LIMZ",44.547019,7.623217,1267,1,"E","Europe/Rome" +1535,"Aviano Ab","Aviano","Italy","AVB","LIPA",46.031889,12.596472,410,1,"E","Europe/Rome" +1536,"Bolzano","Bolzano","Italy","BZO","LIPB",46.460194,11.326383,789,1,"E","Europe/Rome" +1537,"Cervia","Cervia","Italy","","LIPC",44.224175,12.307203,18,1,"E","Europe/Rome" +1538,"Bologna","Bologna","Italy","BLQ","LIPE",44.535444,11.288667,123,1,"E","Europe/Rome" +1539,"Treviso","Treviso","Italy","TSF","LIPH",45.6484,12.194422,59,1,"E","Europe/Rome" +1540,"Rivolto","Rivolto","Italy","","LIPI",45.97875,13.049331,179,1,"E","Europe/Rome" +1541,"Forli","Forli","Italy","FRL","LIPK",44.194753,12.070094,97,1,"E","Europe/Rome" +1542,"Ghedi","Ghedi","Italy","","LIPL",45.432167,10.267667,333,1,"E","Europe/Rome" +1543,"Verona Boscomantico","Verona","Italy","","LIPN",45.472017,10.927919,286,1,"E","Europe/Rome" +1544,"Montichiari","Brescia","Italy","VBS","LIPO",45.428889,10.330556,356,1,"E","Europe/Rome" +1545,"Ronchi Dei Legionari","Ronchi De Legionari","Italy","TRS","LIPQ",45.8275,13.472222,37,1,"E","Europe/Rome" +1546,"Rimini","Rimini","Italy","RMI","LIPR",44.020292,12.611747,41,1,"E","Europe/Rome" +1547,"Istrana","Treviso","Italy","","LIPS",45.684867,12.082881,137,1,"E","Europe/Rome" +1548,"Vicenza","Vicenza","Italy","VIC","LIPT",45.573411,11.52955,128,1,"E","Europe/Rome" +1549,"Padova","Padova","Italy","QPA","LIPU",45.395767,11.847903,44,1,"E","Europe/Rome" +1550,"Villafranca","Villafranca","Italy","VRN","LIPX",45.395706,10.888533,239,1,"E","Europe/Rome" +1551,"Venezia Tessera","Venice","Italy","VCE","LIPZ",45.505278,12.351944,7,1,"E","Europe/Rome" +1552,"Ampugnano","Siena","Italy","SAY","LIQS",43.256286,11.255036,634,1,"E","Europe/Rome" +1553,"Ciampino","Rome","Italy","CIA","LIRA",41.799361,12.594936,427,1,"E","Europe/Rome" +1554,"Pratica Di Mare","Pratica Di Mare","Italy","","LIRE",41.654522,12.445183,41,1,"E","Europe/Rome" +1555,"Fiumicino","Rome","Italy","FCO","LIRF",41.804475,12.250797,15,1,"E","Europe/Rome" +1556,"Guidonia","Guidonia","Italy","","LIRG",41.990278,12.740833,289,1,"E","Europe/Rome" +1558,"Marina Di Campo","Marina Di Campo","Italy","EBA","LIRJ",42.760277,10.239445,31,1,"E","Europe/Rome" +1559,"Latina","Latina","Italy","QLT","LIRL",41.542436,12.909019,93,1,"E","Europe/Rome" +1560,"Grazzanise","Grazzanise","Italy","","LIRM",41.060833,14.081944,29,1,"E","Europe/Rome" +1561,"Capodichino","Naples","Italy","NAP","LIRN",40.886033,14.290781,294,1,"E","Europe/Rome" +1562,"Pisa","Pisa","Italy","PSA","LIRP",43.683917,10.39275,6,1,"E","Europe/Rome" +1563,"Firenze","Florence","Italy","FLR","LIRQ",43.809953,11.2051,142,1,"E","Europe/Rome" +1564,"Grosseto","Grosseto","Italy","GRS","LIRS",42.759747,11.071897,15,1,"E","Europe/Rome" +1565,"Urbe","Rome","Italy","","LIRU",41.951946,12.498889,55,1,"E","Europe/Rome" +1566,"Viterbo","Viterbo","Italy","","LIRV",42.430183,12.064156,990,1,"E","Europe/Rome" +1567,"Perugia","Perugia","Italy","PEG","LIRZ",43.095906,12.513222,693,1,"E","Europe/Rome" +1568,"Cerklje","Cerklje","Slovenia","","LJCE",45.899971,15.530194,510,1,"E","Europe/Ljubljana" +1569,"Ljubljana","Ljubljana","Slovenia","LJU","LJLJ",46.223686,14.457611,1273,1,"E","Europe/Ljubljana" +1570,"Maribor","Maribor","Slovenia","MBX","LJMB",46.479861,15.686131,876,1,"E","Europe/Ljubljana" +1571,"Portoroz","Portoroz","Slovenia","POW","LJPZ",45.473353,13.614978,7,1,"E","Europe/Ljubljana" +1572,"Slovenj Gradec","Slovenj Gradec","Slovenia","","LJSG",46.471975,15.116997,1645,1,"E","Europe/Ljubljana" +1573,"Ceske Budejovice","Ceske Budejovice","Czech Republic","","LKCS",48.946381,14.427464,1417,1,"E","Europe/Prague" +1574,"Caslav","Caslav","Czech Republic","","LKCV",49.939653,15.381808,794,1,"E","Europe/Prague" +1575,"Hradec Kralove","Hradec Kralove","Czech Republic","","LKHK",50.2532,15.845228,791,1,"E","Europe/Prague" +1576,"Horovice","Horovice","Czech Republic","","LKHV",49.848111,13.893506,1214,1,"E","Europe/Prague" +1577,"Kbely","Praha","Czech Republic","","LKKB",50.121367,14.543642,939,1,"E","Europe/Prague" +1578,"Kunovice","Kunovice","Czech Republic","","LKKU",49.029444,17.439722,581,1,"E","Europe/Prague" +1579,"Karlovy Vary","Karlovy Vary","Czech Republic","KLV","LKKV",50.202978,12.914983,1989,1,"E","Europe/Prague" +1580,"Plzen Line","Line","Czech Republic","","LKLN",49.675172,13.274617,1188,1,"E","Europe/Prague" +1581,"Mnichovo Hradiste","Mnichovo Hradiste","Czech Republic","","LKMH",50.540211,15.006592,800,1,"E","Europe/Prague" +1582,"Mosnov","Ostrava","Czech Republic","OSR","LKMT",49.696292,18.111053,844,1,"E","Europe/Prague" +1583,"Namest","Namest","Czech Republic","","LKNA",49.165833,16.124925,1548,1,"E","Europe/Prague" +1584,"Pardubice","Pardubice","Czech Republic","PED","LKPD",50.013419,15.738647,741,1,"E","Europe/Prague" +1585,"Pribram","Pribram","Czech Republic","","LKPM",49.720078,14.100567,1529,1,"E","Europe/Prague" +1586,"Prerov","Prerov","Czech Republic","PRV","LKPO",49.425833,17.404722,676,1,"E","Europe/Prague" +1587,"Ruzyne","Prague","Czech Republic","PRG","LKPR",50.100833,14.26,1247,1,"E","Europe/Prague" +1588,"Turany","Brno","Czech Republic","BRQ","LKTB",49.151269,16.694433,778,1,"E","Europe/Prague" +1589,"Vodochody","Vodochody","Czech Republic","","LKVO",50.216581,14.395806,919,1,"E","Europe/Prague" +1590,"Ben Gurion","Tel-aviv","Israel","TLV","LLBG",32.011389,34.886667,135,2,"U","Asia/Jerusalem" +1591,"Teyman","Beer-sheba","Israel","BEV","LLBS",31.287003,34.722953,656,2,"U","Asia/Jerusalem" +1592,"Tel Nov","Tel-nof","Israel","","LLEK",31.839472,34.821844,193,2,"U","Asia/Jerusalem" +1593,"Eyn Shemer","Eyn-shemer","Israel","","LLES",32.440814,35.007661,95,2,"U","Asia/Jerusalem" +1594,"Eilat","Elat","Israel","ETH","LLET",29.561281,34.960081,42,2,"U","Asia/Jerusalem" +1595,"En Yahav","Eyn-yahav","Israel","","LLEY",30.621656,35.203325,-164,2,"U","Asia/Jerusalem" +1596,"Haifa","Haifa","Israel","HFA","LLHA",32.809444,35.043056,28,2,"U","Asia/Jerusalem" +1597,"Hatzor","Haztor","Israel","","LLHS",31.7625,34.727222,148,2,"U","Asia/Jerusalem" +1598,"Mahanaim I Ben Yaakov","Rosh Pina","Israel","RPN","LLIB",32.981047,35.571908,922,2,"U","Asia/Jerusalem" +1599,"Megiddo","Megido Airstrip","Israel","","LLMG",32.597139,35.228803,200,2,"U","Asia/Jerusalem" +1600,"I Bar Yehuda","Metzada","Israel","","LLMZ",31.328169,35.388608,-1266,2,"U","Asia/Jerusalem" +1601,"Nevatim Ab","Nevatim","Israel","","LLNV",31.208347,35.0123,1330,2,"U","Asia/Jerusalem" +1602,"Ovda","Ovda","Israel","VDA","LLOV",29.94025,34.93585,1492,2,"U","Asia/Jerusalem" +1603,"Ramat David","Ramat David","Israel","","LLRD",32.665142,35.179458,185,2,"U","Asia/Jerusalem" +1604,"Ramon","Ramon","Israel","","LLRM",30.776061,34.666769,2126,2,"U","Asia/Jerusalem" +1605,"Sde Dov","Tel-aviv","Israel","SDV","LLSD",32.114661,34.782239,43,2,"U","Asia/Jerusalem" +1606,"Luqa","Malta","Malta","MLA","LMML",35.857497,14.4775,300,1,"E","Europe/Malta" +1607,"Wiener Neustadt East","Wiener Neustadt Ost","Austria","","LOAN",47.843333,16.260139,896,1,"E","Europe/Vienna" +1608,"Wels","Wels","Austria","","LOLW",48.183304,14.040861,1043,1,"E","Europe/Vienna" +1609,"Graz","Graz","Austria","GRZ","LOWG",46.991067,15.439628,1115,1,"E","Europe/Vienna" +1610,"Innsbruck","Innsbruck","Austria","INN","LOWI",47.260219,11.343964,1906,1,"E","Europe/Vienna" +1611,"Linz","Linz","Austria","LNZ","LOWL",48.233219,14.187511,978,1,"E","Europe/Vienna" +1612,"Salzburg","Salzburg","Austria","SZG","LOWS",47.793304,13.004333,1411,1,"E","Europe/Vienna" +1613,"Schwechat","Vienna","Austria","VIE","LOWW",48.110278,16.569722,600,1,"E","Europe/Vienna" +1614,"Klagenfurt","Klagenfurt","Austria","","LOXK",46.642514,14.337739,1470,1,"E","Europe/Vienna" +1615,"Zeltweg","Zeltweg","Austria","","LOXZ",47.202751,14.744223,2220,1,"E","Europe/Vienna" +1616,"Alverca","Alverca","Portugal","","LPAR",38.883278,-9.030097,11,0,"E","Europe/Lisbon" +1617,"Santa Maria","Santa Maria (island)","Portugal","SMA","LPAZ",36.97139,-25.170639,308,-1,"E","Atlantic/Azores" +1618,"Braganca","Braganca","Portugal","BGC","LPBG",41.8578,-6.707125,2241,0,"E","Europe/Lisbon" +1619,"Beja","Beja (madeira)","Portugal","","LPBJ",38.078903,-7.932397,636,0,"E","Europe/Lisbon" +1620,"Braga","Braga","Portugal","","LPBR",41.587058,-8.445139,247,0,"E","Europe/Lisbon" +1621,"Coimbra","Coimba","Portugal","","LPCO",40.157223,-8.47,587,0,"E","Europe/Lisbon" +1622,"Cascais","Cascais","Portugal","","LPCS",38.725025,-9.355231,326,0,"E","Europe/Lisbon" +1623,"Covilha","Covilha","Portugal","","LPCV",40.264772,-7.479958,1572,0,"E","Europe/Lisbon" +1624,"Evora","Evora","Portugal","","LPEV",38.533472,-7.889639,807,0,"E","Europe/Lisbon" +1625,"Flores","Flores","Portugal","FLW","LPFL",39.455272,-31.131361,112,-1,"E","Atlantic/Azores" +1626,"Faro","Faro","Portugal","FAO","LPFR",37.014425,-7.965911,24,0,"E","Europe/Lisbon" +1627,"Graciosa","Graciosa Island","Portugal","GRW","LPGR",39.092169,-28.029847,86,-1,"E","Atlantic/Azores" +1628,"Horta","Horta","Portugal","HOR","LPHR",38.519894,-28.715872,118,-1,"E","Atlantic/Azores" +1629,"Lajes","Lajes (terceira Island)","Portugal","TER","LPLA",38.761842,-27.090797,180,-1,"E","Atlantic/Azores" +1630,"Monte Real","Monte Real","Portugal","","LPMR",39.831244,-8.887261,187,0,"E","Europe/Lisbon" +1631,"Montijo","Montijo","Portugal","","LPMT",38.703861,-9.035916,46,0,"E","Europe/Lisbon" +1632,"Ovar","Ovar","Portugal","","LPOV",40.915867,-8.645919,56,0,"E","Europe/Lisbon" +1633,"Ponta Delgada","Ponta Delgada","Portugal","PDL","LPPD",37.741184,-25.69787,259,-1,"E","Atlantic/Azores" +1634,"Pico","Pico","Portugal","PIX","LPPI",38.554333,-28.441333,109,-1,"E","Atlantic/Azores" +1635,"Portimao","Portimao","Portugal","","LPPM",37.149331,-8.583961,5,0,"E","Europe/Lisbon" +1636,"Porto","Porto","Portugal","OPO","LPPR",41.248055,-8.681389,228,0,"E","Europe/Lisbon" +1637,"Porto Santo","Porto Santo","Portugal","PXO","LPPS",33.073386,-16.349975,341,0,"E","Europe/Lisbon" +1638,"Lisboa","Lisbon","Portugal","LIS","LPPT",38.781311,-9.135919,374,0,"E","Europe/Lisbon" +1639,"Sao Jorge","Sao Jorge Island","Portugal","SJZ","LPSJ",38.6655,-28.175817,311,-1,"E","Atlantic/Azores" +1640,"Sintra","Sintra","Portugal","","LPST",38.831053,-9.339553,440,0,"E","Europe/Lisbon" +1641,"Tancos","Tancos","Portugal","","LPTN",39.47514,-8.364583,266,0,"E","Europe/Lisbon" +1642,"Vila Real","Vila Real","Portugal","VRL","LPVR",41.274334,-7.720472,1805,0,"E","Europe/Lisbon" +1643,"Viseu","Viseu","Portugal","","LPVZ",40.725539,-7.888992,2060,0,"E","Europe/Lisbon" +6883,"Eastern Oregon Regional Airport","Pendleton","United States","PDT","KPDT",45.695,-118.841389,1497,-8,"A","America/Los_Angeles" +1645,"Mostar","Mostar","Bosnia and Herzegovina","OMO","LQMO",43.2829,17.845878,156,1,"E","Europe/Sarajevo" +1646,"Sarajevo","Sarajevo","Bosnia and Herzegovina","SJJ","LQSA",43.824583,18.331467,1708,1,"E","Europe/Sarajevo" +1647,"Arad","Arad","Romania","ARW","LRAR",46.17655,21.262022,352,2,"E","Europe/Bucharest" +1648,"Bacau","Bacau","Romania","BCM","LRBC",46.521946,26.910278,607,2,"E","Europe/Bucharest" +1649,"Tautii Magheraus","Baia Mare","Romania","BAY","LRBM",47.658389,23.470022,605,2,"E","Europe/Bucharest" +1650,"Aurel Vlaicu","Bucharest","Romania","BBU","LRBS",44.503194,26.102111,297,2,"E","Europe/Bucharest" +1651,"Mihail Kogalniceanu","Constanta","Romania","CND","LRCK",44.362222,28.488333,353,2,"E","Europe/Bucharest" +1652,"Cluj Napoca","Cluj-napoca","Romania","CLJ","LRCL",46.785167,23.686167,1036,2,"E","Europe/Bucharest" +1653,"Caransebes","Caransebes","Romania","CSB","LRCS",45.42,22.253333,866,2,"E","Europe/Bucharest" +1654,"Craiova","Craiova","Romania","CRA","LRCV",44.318139,23.888611,626,2,"E","Europe/Bucharest" +1655,"Iasi","Iasi","Romania","IAS","LRIA",47.178492,27.620631,397,2,"E","Europe/Bucharest" +1656,"Oradea","Oradea","Romania","OMR","LROD",47.025278,21.9025,465,2,"E","Europe/Bucharest" +1657,"Henri Coanda","Bucharest","Romania","OTP","LROP",44.572161,26.102178,314,2,"E","Europe/Bucharest" +1658,"Sibiu","Sibiu","Romania","SBZ","LRSB",45.785597,24.091342,1496,2,"E","Europe/Bucharest" +1659,"Satu Mare","Satu Mare","Romania","SUJ","LRSM",47.703275,22.8857,405,2,"E","Europe/Bucharest" +1660,"Stefan Cel Mare","Suceava","Romania","SCV","LRSV",47.6875,26.354056,1375,2,"E","Europe/Bucharest" +1661,"Cataloi","Tulcea","Romania","TCE","LRTC",45.062486,28.714311,200,2,"E","Europe/Bucharest" +1662,"Transilvania Targu Mures","Tirgu Mures","Romania","TGM","LRTM",46.467714,24.412525,963,2,"E","Europe/Bucharest" +1663,"Traian Vuia","Timisoara","Romania","TSR","LRTR",45.809861,21.337861,348,2,"E","Europe/Bucharest" +1664,"Les Eplatures","Les Eplatures","Switzerland","","LSGC",47.08385,6.792836,3368,1,"E","Europe/Zurich" +1665,"Geneve Cointrin","Geneva","Switzerland","GVA","LSGG",46.238064,6.10895,1411,1,"E","Europe/Paris" +1666,"Saanen","Saanen","Switzerland","","LSGK",46.487499,7.250834,3307,1,"E","Europe/Zurich" +1667,"Sion","Sion","Switzerland","SIR","LSGS",46.219592,7.326764,1585,1,"E","Europe/Zurich" +1668,"Alpnach","Alpnach","Switzerland","","LSMA",46.943889,8.284167,1460,1,"E","Europe/Zurich" +1669,"Dubendorf","Dubendorf","Switzerland","","LSMD",47.398644,8.648231,1470,1,"E","Europe/Zurich" +1670,"Emmen","Emmen","Switzerland","","LSME",47.092369,8.305117,1400,1,"E","Europe/Zurich" +1671,"Mollis","Mollis","Switzerland","","LSMF",47.078872,9.064831,1485,1,"E","Europe/Zurich" +1672,"Meiringen","Meiringen","Switzerland","","LSMM",46.743333,8.11,1895,1,"E","Europe/Zurich" +1673,"Payerne","Payerne","Switzerland","","LSMP",46.843208,6.915058,1465,1,"E","Europe/Zurich" +1674,"Buochs","Buochs","Switzerland","","LSMU",46.974914,8.39915,1475,1,"E","Europe/Zurich" +1675,"Lugano","Lugano","Switzerland","LUG","LSZA",46.004275,8.910578,915,1,"E","Europe/Zurich" +1676,"Bern Belp","Bern","Switzerland","BRN","LSZB",46.9141,7.497153,1674,1,"E","Europe/Zurich" +1677,"Grenchen","Grenchen","Switzerland","","LSZG",47.181628,7.417189,1411,1,"E","Europe/Zurich" +1678,"Zurich","Zurich","Switzerland","ZRH","LSZH",47.464722,8.549167,1416,1,"E","Europe/Zurich" +1679,"St Gallen Altenrhein","Altenrhein","Switzerland","ACH","LSZR",47.485033,9.560775,1306,1,"E","Europe/Zurich" +1680,"Samedan","Samedan","Switzerland","SMV","LSZS",46.534075,9.884106,5600,1,"E","Europe/Zurich" +1681,"Guvercinlik","Ankara","Turkey","","LTAB",39.93495,32.740775,2694,2,"E","Europe/Istanbul" +1682,"Esenboga","Ankara","Turkey","ESB","LTAC",40.128082,32.995083,3125,2,"E","Europe/Istanbul" +1683,"Etimesgut","Ankara","Turkey","ANK","LTAD",39.949831,32.688622,2653,2,"E","Europe/Istanbul" +1684,"Akinci","Ankara","Turkey","","LTAE",40.078919,32.565625,2767,2,"E","Europe/Istanbul" +1685,"Adana","Adana","Turkey","ADA","LTAF",36.982166,35.280388,65,2,"E","Europe/Istanbul" +1686,"Incirlik Ab","Adana","Turkey","","LTAG",37.0021,35.425894,238,2,"E","Europe/Istanbul" +1687,"Afyon","Afyon","Turkey","AFY","LTAH",38.726425,30.601114,3310,2,"E","Europe/Istanbul" +1688,"Antalya","Antalya","Turkey","AYT","LTAI",36.898731,30.800461,177,2,"E","Europe/Istanbul" +1689,"Oguzeli","Gaziantep","Turkey","GZT","LTAJ",36.947183,37.478683,2315,2,"E","Europe/Istanbul" +1690,"Iskenderun","Iskenderun","Turkey","","LTAK",36.573472,36.154,25,2,"E","Europe/Istanbul" +1691,"Konya","Konya","Turkey","KYA","LTAN",37.979,32.561861,3381,2,"E","Europe/Istanbul" +1692,"Tulga","Malatya","Turkey","","LTAO",38.35375,38.253944,3016,2,"E","Europe/Istanbul" +1693,"Merzifon","Merzifon","Turkey","MZH","LTAP",40.829375,35.521992,1758,2,"E","Europe/Istanbul" +1694,"Sivas","Sivas","Turkey","VAS","LTAR",39.813828,36.903497,5236,2,"E","Europe/Istanbul" +1695,"Erhac","Malatya","Turkey","MLX","LTAT",38.435347,38.091006,2828,2,"E","Europe/Istanbul" +1696,"Erkilet","Kayseri","Turkey","ASR","LTAU",38.770386,35.495428,3463,2,"E","Europe/Istanbul" +1697,"Sivrihisar","Sivrihisar","Turkey","","LTAV",39.451469,31.365308,3185,2,"E","Europe/Istanbul" +1698,"Tokat","Tokat","Turkey","","LTAW",40.306281,36.371089,1831,2,"E","Europe/Istanbul" +1699,"Cardak","Denizli","Turkey","DNZ","LTAY",37.785567,29.701297,2795,2,"E","Europe/Istanbul" +1701,"Ataturk","Istanbul","Turkey","IST","LTBA",40.976922,28.814606,163,2,"E","Europe/Istanbul" +1702,"Balikesir","Balikesir","Turkey","BZI","LTBF",39.619258,27.925958,340,2,"E","Europe/Istanbul" +1703,"Bandirma","Bandirma","Turkey","BDM","LTBG",40.317972,27.977694,170,2,"E","Europe/Istanbul" +6882,"Tyonek Airport","Tyonek","United States","TYE",\N,61.076667,-151.138056,110,-9,"A","America/Anchorage" +1705,"Eskisehir","Eskisehir","Turkey","ESK","LTBI",39.784138,30.582111,2581,2,"E","Europe/Istanbul" +1706,"Adnan Menderes","Izmir","Turkey","ADB","LTBJ",38.292392,27.156953,412,2,"E","Europe/Istanbul" +1707,"Gaziemir","Izmir","Turkey","","LTBK",38.319106,27.159353,433,2,"E","Europe/Istanbul" +1708,"Cigli","Izmir","Turkey","IGL","LTBL",38.513022,27.010053,16,2,"E","Europe/Istanbul" +1709,"Isparta","Isparta","Turkey","","LTBM",37.785369,30.581817,3250,2,"E","Europe/Istanbul" +1710,"Kutahya","Kutahya","Turkey","","LTBN",39.426708,30.016872,3026,2,"E","Europe/Istanbul" +1712,"Yalova","Yalova","Turkey","","LTBP",40.684353,29.375728,6,2,"E","Europe/Istanbul" +1713,"Topel","Topel","Turkey","","LTBQ",40.735028,30.083336,182,2,"E","Europe/Istanbul" +1715,"Dalaman","Dalaman","Turkey","DLM","LTBS",36.713056,28.7925,20,2,"E","Europe/Istanbul" +1716,"Akhisar","Akhisar","Turkey","","LTBT",38.808887,27.83386,263,2,"E","Europe/Istanbul" +6881,"Riverton Regional","Riverton WY","United States","RIW","KRIW",43.064167,-108.459722,5525,-7,"A","America/Denver" +1718,"Imsik","Bodrum","Turkey","BXN","LTBV",37.140144,27.669717,202,2,"E","Europe/Istanbul" +1719,"Samandira","Istanbul","Turkey","","LTBX",40.992975,29.216539,400,2,"E","Europe/Istanbul" +1721,"Elazig","Elazig","Turkey","EZS","LTCA",38.606925,39.291417,2927,2,"E","Europe/Istanbul" +1722,"Diyarbakir","Diyabakir","Turkey","DIY","LTCC",37.893897,40.201019,2251,2,"E","Europe/Istanbul" +1723,"Erzincan","Erzincan","Turkey","ERC","LTCD",39.710203,39.527003,3783,2,"E","Europe/Istanbul" +1724,"Erzurum","Erzurum","Turkey","ERZ","LTCE",39.956501,41.170166,5763,2,"E","Europe/Istanbul" +1726,"Trabzon","Trabzon","Turkey","TZX","LTCG",40.995108,39.789728,104,2,"E","Europe/Istanbul" +6880,"Montrose Regional Airport","Montrose CO","United States","MTJ","KMTJ",38.509794,-107.894242,5759,-7,"A","America/Denver" +1728,"Van","Van","Turkey","VAN","LTCI",38.468219,43.3323,5480,2,"E","Europe/Istanbul" +1729,"Batman","Batman","Turkey","BAL","LTCJ",37.928969,41.116583,1822,2,"E","Europe/Istanbul" +1731,"Siirt","Siirt","Turkey","","LTCL",37.978886,41.840436,2001,2,"E","Europe/Istanbul" +1732,"Kaklic","Izmir","Turkey","","LTFA",38.517608,26.977406,13,2,"E","Europe/Istanbul" +1733,"Efes","Izmir","Turkey","","LTFB",37.950747,27.329014,10,2,"E","Europe/Istanbul" +1734,"Balti Intl","Saltsy","Moldova","","LUBL",47.838114,27.781475,758,2,"E","Europe/Chisinau" +1735,"Chisinau Intl","Chisinau","Moldova","KIV","LUKK",46.927744,28.930978,399,2,"E","Europe/Chisinau" +1736,"Ohrid","Ohrid","Macedonia","OHD","LWOH",41.179956,20.742325,2313,1,"E","Europe/Skopje" +1737,"Skopje","Skopje","Macedonia","SKP","LWSK",41.961622,21.621381,781,1,"E","Europe/Skopje" +1738,"Gibraltar","Gibraltar","Gibraltar","GIB","LXGB",36.151219,-5.349664,15,1,"N","Europe/Gibraltar" +1739,"Beograd","Belgrade","Serbia","BEG","LYBE",44.818444,20.309139,335,1,"E","Europe/Belgrade" +1740,"Nis","Nis","Serbia","INI","LYNI",43.337289,21.853722,648,1,"E","Europe/Belgrade" +1741,"Podgorica","Podgorica","Montenegro","TGD","LYPG",42.359392,19.251894,141,1,"E","Europe/Podgorica" +1742,"Pristina","Pristina","Serbia","PRN","LYPR",42.572778,21.035833,1789,1,"E","Europe/Belgrade" +1743,"Tivat","Tivat","Montenegro","TIV","LYTV",42.404664,18.723286,20,1,"E","Europe/Podgorica" +1744,"Vrsac","Vrsac","Serbia","","LYVR",45.146889,21.309889,276,1,"E","Europe/Belgrade" +1745,"M R Stefanik","Bratislava","Slovakia","BTS","LZIB",48.170167,17.212667,436,1,"E","Europe/Bratislava" +1746,"Kosice","Kosice","Slovakia","KSC","LZKZ",48.663055,21.241112,755,1,"E","Europe/Bratislava" +1747,"Malacky","Malacky","Slovakia","","LZMC",48.402028,17.118389,679,1,"E","Europe/Bratislava" +1748,"Piestany","Piestany","Slovakia","PZY","LZPP",48.625247,17.828444,545,1,"E","Europe/Bratislava" +1749,"Sliac","Sliac","Slovakia","SLD","LZSL",48.637839,19.134108,1043,1,"E","Europe/Bratislava" +1750,"Trencin","Trencin","Slovakia","","LZTN",48.865003,17.99225,676,1,"E","Europe/Bratislava" +1751,"Tatry","Poprad","Slovakia","TAT","LZTT",49.073594,20.241142,2356,1,"E","Europe/Bratislava" +6879,"Clow International Airport","Bolingbrook","United States","1CS",\N,41.6959744,-88.1292306,670,-6,"U","America/Chicago" +1753,"North Caicos","North Caicos","Turks and Caicos Islands","NCA","MBNC",21.917475,-71.939561,10,-5,"U","America/Grand_Turk" +1754,"Providenciales","Providenciales","Turks and Caicos Islands","PLS","MBPV",21.773625,-72.265886,15,-5,"U","America/Grand_Turk" +1755,"South Caicos","South Caicos","Turks and Caicos Islands","XSC","MBSC",21.515739,-71.528528,6,-5,"U","America/Grand_Turk" +1756,"Arroyo Barril Intl","Samana","Dominican Republic","EPS","MDAB",19.198586,-69.429772,57,-4,"U","America/Santo_Domingo" +1757,"Maria Montez Intl","Barahona","Dominican Republic","BRX","MDBH",18.251464,-71.1204,10,-4,"U","America/Santo_Domingo" +1758,"Cabo Rojo","Cabo Rojo","Dominican Republic","","MDCR",17.928981,-71.644769,262,-4,"U","America/Santo_Domingo" +1759,"Casa De Campo Intl","La Romana","Dominican Republic","LRM","MDLR",18.450711,-68.911833,240,-4,"U","America/Santo_Domingo" +1760,"Punta Cana Intl","Punta Cana","Dominican Republic","PUJ","MDPC",18.567367,-68.363431,47,-4,"U","America/Santo_Domingo" +1761,"Gregorio Luperon Intl","Puerto Plata","Dominican Republic","POP","MDPP",19.7579,-70.570033,15,-4,"U","America/Santo_Domingo" +1762,"Las Americas Intl","Santo Domingo","Dominican Republic","SDQ","MDSD",18.429664,-69.668925,59,-4,"U","America/Santo_Domingo" +1763,"San Isidro Ab","San Isidoro","Dominican Republic","","MDSI",18.503706,-69.761706,111,-4,"U","America/Santo_Domingo" +1764,"Cibao Intl","Santiago","Dominican Republic","STI","MDST",19.406092,-70.604689,565,-4,"U","America/Santo_Domingo" +1765,"Bananera","Bananera","Guatemala","","MGBN",15.473528,-88.837222,130,-6,"U","America/Guatemala" +1766,"Coban","Coban","Guatemala","CBV","MGCB",15.468958,-90.406742,4339,-6,"U","America/Guatemala" +1767,"La Aurora","Guatemala City","Guatemala","GUA","MGGT",14.583272,-90.527475,4952,-6,"U","America/Guatemala" +1769,"Retalhuleu","Retalhuleu","Guatemala","","MGRT",14.521017,-91.697256,656,-6,"U","America/Guatemala" +1770,"San Jose","San Jose","Guatemala","","MGSJ",13.936192,-90.835833,29,-6,"U","America/Guatemala" +1771,"Goloson Intl","La Ceiba","Honduras","LCE","MHLC",15.742481,-86.853036,49,-6,"U","America/Tegucigalpa" +1772,"La Mesa Intl","San Pedro Sula","Honduras","SAP","MHLM",15.452639,-87.923556,91,-6,"U","America/Tegucigalpa" +1773,"Guanaja","Guanaja","Honduras","GJA","MHNJ",16.445367,-85.906611,49,-6,"U","America/Tegucigalpa" +1774,"Juan Manuel Galvez Intl","Roatan","Honduras","RTB","MHRO",16.316814,-86.522961,18,-6,"U","America/Tegucigalpa" +1775,"Tela","Tela","Honduras","TEA","MHTE",15.775864,-87.475847,7,-6,"U","America/Tegucigalpa" +1776,"Toncontin Intl","Tegucigalpa","Honduras","TGU","MHTG",14.060883,-87.217197,3294,-6,"U","America/Tegucigalpa" +1777,"Trujillo","Trujillo","Honduras","","MHTJ",15.926847,-85.93825,3,-6,"U","America/Tegucigalpa" +1778,"Boscobel","Ocho Rios","Jamaica","OCJ","MKBS",18.404247,-76.969017,90,-5,"U","America/Jamaica" +1779,"Norman Manley Intl","Kingston","Jamaica","KIN","MKJP",17.935667,-76.7875,10,-5,"U","America/Jamaica" +1780,"Sangster Intl","Montego Bay","Jamaica","MBJ","MKJS",18.503717,-77.913358,4,-5,"U","America/Jamaica" +1781,"Ken Jones","Port Antonio","Jamaica","POT","MKKJ",18.198806,-76.534528,20,-5,"U","America/Jamaica" +1782,"Tinson Pen","Kingston","Jamaica","KTP","MKTP",17.988558,-76.823761,16,-5,"U","America/Jamaica" +1783,"General Juan N Alvarez Intl","Acapulco","Mexico","ACA","MMAA",16.757061,-99.753953,16,-6,"S","America/Mexico_City" +1784,"Del Norte Intl","Monterrey","Mexico","NTR","MMAN",25.865572,-100.237239,1476,-6,"S","America/Mexico_City" +1785,"Jesus Teran Intl","Aguascalientes","Mexico","AGU","MMAS",21.705558,-102.317858,6112,-6,"S","America/Mexico_City" +1786,"Bahias De Huatulco Intl","Huatulco","Mexico","HUX","MMBT",15.775317,-96.262572,464,-6,"S","America/Mexico_City" +1787,"General Mariano Matamoros","Cuernavaca","Mexico","CVJ","MMCB",18.834764,-99.2613,4277,-6,"S","America/Mexico_City" +1788,"Ciudad Acuna Intl New","Ciudad Acuna","Mexico","","MMCC",29.333917,-101.100892,1410,-6,"S","America/Mexico_City" +1789,"Ciudad Del Carmen Intl","Ciudad Del Carmen","Mexico","CME","MMCE",18.653739,-91.799017,10,-6,"S","America/Mexico_City" +1790,"Nuevo Casas Grandes","Nuevo Casas Grandes","Mexico","","MMCG",30.397439,-107.874969,4850,-7,"S","America/Mazatlan" +1791,"Chilpancingo","Chilpancingo","Mexico","","MMCH",17.573767,-99.514339,4199,-6,"S","America/Mexico_City" +1792,"Culiacan Intl","Culiacan","Mexico","CUL","MMCL",24.764547,-107.474717,108,-7,"S","America/Mazatlan" +1793,"Chetumal Intl","Chetumal","Mexico","CTM","MMCM",18.504667,-88.326847,39,-6,"S","America/Mexico_City" +1794,"Ciudad Obregon Intl","Ciudad Obregon","Mexico","CEN","MMCN",27.392639,-109.833111,205,-7,"S","America/Hermosillo" +1795,"Ingeniero Alberto Acuna Ongay Intl","Campeche","Mexico","CPE","MMCP",19.816794,-90.500314,34,-6,"S","America/Mexico_City" +1796,"Abraham Gonzalez Intl","Ciudad Juarez","Mexico","CJS","MMCS",31.636133,-106.428667,3904,-7,"S","America/Mazatlan" +1797,"General R Fierro Villalobos Intl","Chihuahua","Mexico","CUU","MMCU",28.702875,-105.964567,4462,-7,"S","America/Mazatlan" +1798,"General Pedro Jose Mendez Intl","Ciudad Victoria","Mexico","CVM","MMCV",23.703336,-98.956486,761,-6,"S","America/Mexico_City" +6878,"Kenosha Regional Airport","Kenosha","United States","ENW",\N,42.5956944,-87.9278056,742,-6,"A","America/Chicago" +1800,"Cozumel Intl","Cozumel","Mexico","CZM","MMCZ",20.522403,-86.925644,15,-6,"S","America/Mexico_City" +1801,"Durango Intl","Durango","Mexico","DGO","MMDO",24.124194,-104.528014,6104,-6,"S","America/Mexico_City" +1802,"Tepic","Tepic","Mexico","TPQ","MMEP",21.419453,-104.842581,3020,-7,"S","America/Mazatlan" +1803,"Ensenada","Ensenada","Mexico","ESE","MMES",31.795281,-116.602772,66,-8,"S","America/Tijuana" +1804,"Don Miguel Hidalgo Y Costilla Intl","Guadalajara","Mexico","GDL","MMGL",20.5218,-103.311167,5016,-6,"S","America/Mexico_City" +1805,"General Jose Maria Yanez Intl","Guaymas","Mexico","GYM","MMGM",27.968983,-110.925169,59,-7,"S","America/Hermosillo" +1806,"Tehuacan","Tehuacan","Mexico","TCN","MMHC",18.497189,-97.419942,5509,-6,"S","America/Mexico_City" +1807,"General Ignacio P Garcia Intl","Hermosillo","Mexico","HMO","MMHO",29.095858,-111.047858,627,-7,"S","America/Hermosillo" +1808,"Colima","Colima","Mexico","CLQ","MMIA",19.277011,-103.577397,2467,-6,"S","America/Mexico_City" +1809,"Isla Mujeres","Isla Mujeres","Mexico","ISJ","MMIM",21.245033,-86.739967,7,-6,"S","America/Mexico_City" +1810,"Plan De Guadalupe Intl","Saltillo","Mexico","SLW","MMIO",25.549497,-100.928669,4778,-6,"S","America/Mexico_City" +1811,"Ixtepec","Iztepec","Mexico","","MMIT",16.449336,-95.093697,164,-6,"S","America/Mexico_City" +1813,"Lazaro Cardenas","Lazard Cardenas","Mexico","LZC","MMLC",18.001731,-102.220525,39,-6,"S","America/Mexico_City" +1814,"Valle Del Fuerte Intl","Los Mochis","Mexico","LMM","MMLM",25.685194,-109.080806,16,-7,"S","America/Mazatlan" +1815,"Guanajuato Intl","Del Bajio","Mexico","BJX","MMLO",20.993464,-101.480847,5956,-6,"S","America/Mexico_City" +1816,"General Manuel Marquez De Leon Intl","La Paz","Mexico","LAP","MMLP",24.072694,-110.362475,69,-7,"S","America/Mazatlan" +1817,"Loreto Intl","Loreto","Mexico","LTO","MMLT",25.989194,-111.348361,34,-7,"S","America/Mazatlan" +1818,"General Servando Canales Intl","Matamoros","Mexico","MAM","MMMA",25.769894,-97.525311,25,-6,"S","America/Mexico_City" +1819,"Licenciado Manuel Crescencio Rejon Int","Merida","Mexico","MID","MMMD",20.936981,-89.657672,38,-6,"S","America/Mexico_City" +1820,"General Rodolfo Sanchez Taboada Intl","Mexicali","Mexico","MXL","MMML",32.630634,-115.241637,74,-8,"S","America/Tijuana" +1821,"General Francisco J Mujica Intl","Morelia","Mexico","MLM","MMMM",19.849944,-101.0255,6033,-6,"S","America/Mexico_City" +1822,"Minatitlan","Minatitlan","Mexico","MTT","MMMT",18.103419,-94.580681,36,-6,"S","America/Mexico_City" +1823,"Monclova Intl","Monclova","Mexico","LOV","MMMV",26.955733,-101.470136,1864,-6,"S","America/Mexico_City" +1824,"Licenciado Benito Juarez Intl","Mexico City","Mexico","MEX","MMMX",19.436303,-99.072097,7316,-6,"S","America/Mexico_City" +1825,"General Mariano Escobedo Intl","Monterrey","Mexico","MTY","MMMY",25.778489,-100.106878,1278,-6,"S","America/Mexico_City" +1826,"General Rafael Buelna Intl","Mazatlan","Mexico","MZT","MMMZ",23.161356,-106.266072,38,-7,"S","America/Mazatlan" +1827,"Nogales Intl","Nogales","Mexico","NOG","MMNG",31.226083,-110.975831,3990,-7,"S","America/Hermosillo" +1828,"Quetzalcoatl Intl","Nuevo Laredo","Mexico","NLD","MMNL",27.443918,-99.57046,484,-6,"S","America/Mexico_City" +1829,"Xoxocotlan Intl","Oaxaca","Mexico","OAX","MMOX",16.999906,-96.726639,4989,-6,"S","America/Mexico_City" +1830,"Tajin","Poza Rico","Mexico","PAZ","MMPA",20.602671,-97.460839,497,-6,"S","America/Mexico_City" +1831,"Hermanos Serdan Intl","Puebla","Mexico","PBC","MMPB",19.158144,-98.371447,7361,-6,"S","America/Mexico_City" +1832,"Ingeniero Juan Guillermo Villasana","Pachuca","Mexico","PCA","MMPC",20.0772,-98.782814,7600,-6,"S","America/Mexico_City" +1833,"Puerto Penasco","Punta Penasco","Mexico","PPE","MMPE",31.351878,-113.525728,30,-7,"S","America/Hermosillo" +1834,"Piedras Negras Intl","Piedras Negras","Mexico","PDS","MMPG",28.627394,-100.535211,901,-6,"S","America/Mexico_City" +1835,"Licenciado Y Gen Ignacio Lopez Rayon","Uruapan","Mexico","UPN","MMPN",19.396692,-102.039056,5258,-6,"S","America/Mexico_City" +1836,"Licenciado Gustavo Diaz Ordaz Intl","Puerto Vallarta","Mexico","PVR","MMPR",20.680083,-105.254167,23,-6,"S","America/Mexico_City" +1837,"Puerto Escondido Intl","Puerto Escondido","Mexico","PXM","MMPS",15.876861,-97.089117,294,-6,"S","America/Mexico_City" +1838,"Queretaro Intercontinental","Queretaro","Mexico","QRO","MMQT",20.617289,-100.185658,6296,-6,"S","America/Mexico_City" +1839,"General Lucio Blanco Intl","Reynosa","Mexico","REX","MMRX",26.008908,-98.228513,139,-6,"S","America/Mexico_City" +1840,"Los Cabos Intl","San Jose Del Cabo","Mexico","SJD","MMSD",23.15185,-109.721044,374,-7,"S","America/Mazatlan" +1841,"San Felipe Intl","San Filipe","Mexico","","MMSF",30.930222,-114.808639,148,-8,"S","America/Tijuana" +1842,"Ponciano Arriaga Intl","San Luis Potosi","Mexico","SLP","MMSP",22.254303,-100.930806,6035,-6,"S","America/Mexico_City" +1843,"Tlaxcala","Tlaxcala","Mexico","TXA","MMTA",19.537964,-98.173467,8229,-6,"S","America/Mexico_City" +1844,"General Div P A Angel H Corzo Molina","Tuxtla Gutierrez","Mexico","","MMTB",16.739919,-93.173297,1909,-6,"S","America/Mexico_City" +1845,"Torreon Intl","Torreon","Mexico","TRC","MMTC",25.568278,-103.410583,3688,-6,"S","America/Mexico_City" +1846,"Angel Albino Corzo","Tuxtla Gutierrez","Mexico","TGZ","MMTG",16.561822,-93.026081,1491,-6,"S","America/Mexico_City" +1847,"General Abelardo L Rodriguez Intl","Tijuana","Mexico","TIJ","MMTJ",32.541064,-116.970158,489,-8,"S","America/Tijuana" +1848,"General Francisco Javier Mina Intl","Tampico","Mexico","TAM","MMTM",22.29645,-97.865931,80,-6,"S","America/Mexico_City" +1849,"Tamuin","Tamuin","Mexico","TSL","MMTN",22.038292,-98.806503,164,-6,"S","America/Mexico_City" +1850,"Licenciado Adolfo Lopez Mateos Intl","Toluca","Mexico","TLC","MMTO",19.337072,-99.566008,8466,-6,"S","America/Mexico_City" +1851,"Tapachula Intl","Tapachula","Mexico","TAP","MMTP",14.794339,-92.370025,97,-6,"S","America/Mexico_City" +1852,"Cancun Intl","Cancun","Mexico","CUN","MMUN",21.036528,-86.877083,20,-6,"S","America/Mexico_City" +1853,"C P A Carlos Rovirosa Intl","Villahermosa","Mexico","VSA","MMVA",17.997,-92.817361,46,-6,"S","America/Mexico_City" +1854,"General Heriberto Jara Intl","Vera Cruz","Mexico","VER","MMVR",19.145931,-96.187267,90,-6,"S","America/Mexico_City" +1855,"General Leobardo C Ruiz Intl","Zacatecas","Mexico","ZCL","MMZC",22.897112,-102.68689,7141,-6,"S","America/Mexico_City" +1856,"Ixtapa Zihuatanejo Intl","Zihuatanejo","Mexico","ZIH","MMZH",17.601569,-101.460536,26,-6,"S","America/Mexico_City" +1857,"Zamora","Zamora","Mexico","ZMM","MMZM",20.045036,-102.275955,5141,-6,"S","America/Mexico_City" +1858,"Playa De Oro Intl","Manzanillo","Mexico","ZLO","MMZO",19.144778,-104.558631,30,-6,"S","America/Mexico_City" +1859,"Zapopan","Zapopan","Mexico","","MMZP",20.755833,-103.465278,5333,-6,"S","America/Mexico_City" +1860,"Bluefields","Bluefields","Nicaragua","BEF","MNBL",11.990961,-83.774086,41,-6,"U","America/Managua" +1861,"Los Brasiles","Los Brasiles","Nicaragua","","MNBR",12.190044,-86.353872,262,-6,"U","America/Managua" +1862,"Leon","Leon","Nicaragua","","MNLN",12.428028,-86.902361,328,-6,"U","America/Managua" +1863,"Managua Intl","Managua","Nicaragua","MGA","MNMG",12.141494,-86.168178,194,-6,"U","America/Managua" +1864,"Puerto Cabezas","Puerto Cabezas","Nicaragua","PUZ","MNPC",14.047194,-83.386722,69,-6,"U","America/Managua" +1865,"Bocas Del Toro Intl","Bocas Del Toro","Panama","BOC","MPBO",9.340853,-82.250842,10,-5,"U","America/Panama" +1866,"Cap Manuel Nino Intl","Changuinola","Panama","CHX","MPCH",9.458636,-82.516806,19,-5,"U","America/Panama" +1867,"Enrique Malek Intl","David","Panama","DAV","MPDA",8.391003,-82.434992,89,-5,"U","America/Panama" +1868,"Howard","Howard","Panama","HOW","MPHO",8.914794,-79.599633,52,-5,"U","America/Panama" +1869,"Marcos A Gelabert Intl","Panama","Panama","PAC","MPMG",8.973339,-79.555583,31,-5,"U","America/Panama" +1870,"Ruben Cantu","Santiago","Panama","","MPSA",8.085597,-80.945253,272,-5,"U","America/Panama" +1871,"Tocumen Intl","Panama City","Panama","PTY","MPTO",9.071364,-79.383453,135,-5,"U","America/Panama" +1872,"Buenos Aires","Buenos Aires","Costa Rica","","MRBA",9.163606,-83.329872,1214,-6,"U","America/Costa_Rica" +6877,"North Las Vegas Airport","Las Vegas","United States","VGT",\N,36.2106944,-115.1944444,2205,-8,"U","America/Los_Angeles" +1874,"Coto 47","Coto 47","Costa Rica","OTR","MRCC",8.601556,-82.968614,26,-6,"U","America/Costa_Rica" +1875,"Chacarita","Chacarita","Costa Rica","","MRCH",9.981408,-84.772736,7,-6,"U","America/Costa_Rica" +6876,"Brown County Airport","Georgetown","United States","","KGEO",38.8819456,-83.8827367,958,-5,"U","America/New_York" +1877,"El Carmen De Siquirres","El Carmen","Costa Rica","","MREC",10.202033,-83.472167,56,-6,"U","America/Costa_Rica" +1878,"Nuevo Palmar Sur","Finca 10","Costa Rica","","MRFI",8.916347,-83.507267,49,-6,"U","America/Costa_Rica" +1879,"Golfito","Golfito","Costa Rica","GLF","MRGF",8.653775,-83.180544,49,-6,"U","America/Costa_Rica" +1880,"Guapiles","Guapiles","Costa Rica","","MRGP",10.217194,-83.797003,883,-6,"U","America/Costa_Rica" +1881,"Daniel Oduber Quiros Intl","Liberia","Costa Rica","LIR","MRLB",10.593289,-85.544408,270,-6,"U","America/Costa_Rica" +1882,"Los Chiles","Los Chiles","Costa Rica","","MRLC",11.035277,-84.706108,131,-6,"U","America/Costa_Rica" +1883,"Limon Intl","Limon","Costa Rica","LIO","MRLM",9.957961,-83.022006,7,-6,"U","America/Costa_Rica" +1884,"Nosara","Nosara Beach","Costa Rica","NOB","MRNS",9.97649,-85.653,33,-6,"U","America/Costa_Rica" +1885,"Juan Santamaria Intl","San Jose","Costa Rica","SJO","MROC",9.993861,-84.208806,3021,-6,"U","America/Costa_Rica" +1886,"Pandora","Pandora","Costa Rica","","MRPD",9.732169,-82.983214,98,-6,"U","America/Costa_Rica" +1887,"Palmar Sur","Palmar Sur","Costa Rica","PMZ","MRPM",8.951025,-83.468583,49,-6,"U","America/Costa_Rica" +1889,"La Managua","Quepos","Costa Rica","XQP","MRQP",9.443164,-84.129772,85,-6,"U","America/Costa_Rica" +1890,"Santa Clara De Guapiles","Santa Clara","Costa Rica","","MRSG",10.288278,-83.713519,262,-6,"U","America/Costa_Rica" +1891,"San Vito De Java","San Vito De Jaba","Costa Rica","","MRSV",8.826111,-82.958885,3228,-6,"U","America/Costa_Rica" +1892,"El Salvador Intl","San Salvador","El Salvador","SAL","MSLP",13.440947,-89.055728,101,-6,"U","America/El_Salvador" +1893,"Ilopango Intl","San Salvador","El Salvador","","MSSS",13.699492,-89.119861,2021,-6,"U","America/El_Salvador" +1894,"Cayes","Cayes","Haiti","","MTCA",18.271103,-73.788289,203,-5,"U","America/Port-au-Prince" +1895,"Cap Haitien Intl","Cap Haitien","Haiti","CAP","MTCH",19.732989,-72.194739,10,-5,"U","America/Port-au-Prince" +1896,"Jacmel","Jacmel","Haiti","","MTJA",18.241083,-72.5185,167,-5,"U","America/Port-au-Prince" +1897,"Toussaint Louverture Intl","Port-au-prince","Haiti","PAP","MTPP",18.58005,-72.292542,122,-5,"U","America/Port-au-Prince" +1898,"Gustavo Rizo","Baracoa Playa","Cuba","BCA","MUBA",20.365317,-74.506206,26,-5,"U","America/Havana" +1899,"Carlos Manuel De Cespedes","Bayamo","Cuba","BYM","MUBY",20.396331,-76.621494,203,-5,"U","America/Havana" +1900,"Maximo Gomez","Ciego De Avila","Cuba","AVI","MUCA",22.027053,-78.789617,335,-5,"U","America/Havana" +1901,"Jardines Del Rey","Cunagua","Cuba","","MUCC",22.460986,-78.328422,13,-5,"U","America/Havana" +1902,"Jaime Gonzalez","Cienfuegos","Cuba","CFG","MUCF",22.15,-80.414167,102,-5,"U","America/Havana" +1903,"Vilo Acuna Intl","Cayo Largo del Sur","Cuba","CYO","MUCL",21.616453,-81.545989,10,-5,"U","America/Havana" +1904,"Ignacio Agramonte Intl","Camaguey","Cuba","CMW","MUCM",21.420428,-77.847433,413,-5,"U","America/Havana" +1905,"Antonio Maceo Intl","Santiago De Cuba","Cuba","SCU","MUCU",19.969769,-75.835414,249,-5,"U","America/Havana" +1906,"Florida","Florida","Cuba","","MUFL",21.499722,-78.202778,197,-5,"U","America/Havana" +1907,"Guantanamo Bay Ns","Guantanamo","Cuba","","MUGM",19.906458,-75.207056,56,-5,"U",\N +1908,"Mariana Grajales","Guantanamo","Cuba","GAO","MUGT",20.085419,-75.158328,56,-5,"U","America/Havana" +1909,"Jose Marti Intl","Havana","Cuba","HAV","MUHA",22.989153,-82.409086,210,-5,"U","America/Havana" +1910,"Frank Pais Intl","Holguin","Cuba","HOG","MUHG",20.785589,-76.315108,361,-5,"U","America/Havana" +1911,"La Coloma","La Coloma","Cuba","LCL","MULM",22.336261,-83.642111,131,-5,"U","America/Havana" +1912,"Orestes Acosta","Moa","Cuba","MOA","MUMO",20.654114,-74.922114,16,-5,"U","America/Havana" +1913,"Sierra Maestra","Manzanillo","Cuba","MZO","MUMZ",20.288172,-77.0893,112,-5,"U","America/Havana" +1914,"Rafael Cabrera","Nueva Gerona","Cuba","GER","MUNG",21.834689,-82.783819,79,-5,"U","America/Havana" +1915,"Playa Baracoa","Baracoa Playa","Cuba","","MUPB",23.032778,-82.579444,102,-5,"U","America/Havana" +1916,"Pinar Del Rio","Pinar Del Rio Norte","Cuba","","MUPR",22.421356,-83.678428,131,-5,"U","America/Havana" +1917,"San Antonio De Los Banos","San Antonio De Banos","Cuba","","MUSA",22.871529,-82.509308,164,-5,"U","America/Havana" +1918,"Abel Santamaria","Santa Clara","Cuba","SNU","MUSC",22.492192,-79.943611,338,-5,"U","America/Havana" +1919,"Santa Lucia","Santa Lucia","Cuba","","MUSL",21.509453,-77.020375,13,-5,"U","America/Havana" +1920,"Siguanea","Siguanea","Cuba","","MUSN",21.642525,-82.955114,39,-5,"U","America/Havana" +1921,"Sancti Spiritus","Sancti Spiritus","Cuba","","MUSS",21.969969,-79.442692,295,-5,"U","America/Havana" +6875,"Grand Geneva Resort Airport","Lake Geneva","United States","C02",\N,42.6149167,-88.3895833,835,-6,"U","America/Chicago" +1923,"Juan Gualberto Gomez Intl","Varadero","Cuba","VRA","MUVR",23.034445,-81.435278,210,-5,"U","America/Havana" +1924,"Hermanos Ameijeiras","Las Tunas","Cuba","VTU","MUVT",20.987642,-76.9358,328,-5,"U","America/Havana" +1925,"Gerrard Smith Intl","Cayman Barac","Cayman Islands","CYB","MWCB",19.686981,-79.882789,8,-5,"U","America/Cayman" +1926,"Owen Roberts Intl","Georgetown","Cayman Islands","GCM","MWCR",19.292778,-81.35775,8,-5,"U","America/Cayman" +1927,"Clarence A Bain","Clarence Bain","Bahamas","","MYAB",24.287664,-77.684614,19,-5,"U","America/Nassau" +1928,"Fresh Creek","Andros Town","Bahamas","ASD","MYAF",24.698283,-77.795611,5,-5,"U","America/Nassau" +1930,"Marsh Harbour","Marsh Harbor","Bahamas","MHH","MYAM",26.511406,-77.083472,6,-5,"U","America/Nassau" +1931,"San Andros","San Andros","Bahamas","SAQ","MYAN",25.053814,-78.048997,5,-5,"U","America/Nassau" +1932,"Spring Point","Spring Point","Bahamas","AXP","MYAP",22.441828,-73.970858,11,-5,"U","America/Nassau" +1933,"Sandy Point","Sandy Point","Bahamas","","MYAS",26.004639,-77.395483,8,-5,"U","America/Nassau" +1934,"Treasure Cay","Treasure Cay","Bahamas","TCB","MYAT",26.745336,-77.391269,8,-5,"U","America/Nassau" +1935,"Chub Cay","Chub Cay","Bahamas","CCZ","MYBC",25.417108,-77.88085,5,-5,"U","America/Nassau" +1936,"Great Harbour Cay","Bullocks Harbour","Bahamas","","MYBG",25.738331,-77.840114,18,-5,"U","America/Nassau" +1937,"South Bimini","Alice Town","Bahamas","BIM","MYBS",25.699881,-79.264656,10,-5,"U","America/Nassau" +6874,"De Kalb Taylor Municipal Airport","De Kalb","United States","DKB",\N,41.9338342,-88.7056864,914,-6,"U","America/Chicago" +1941,"Exuma Intl","Great Exuma","Bahamas","GGT","MYEF",23.562631,-75.877958,9,-5,"U","America/Nassau" +1942,"George Town","George Town","Bahamas","","MYEG",23.466667,-75.78167,5,-5,"U","America/Nassau" +1943,"North Eleuthera","North Eleuthera","Bahamas","ELH","MYEH",25.474861,-76.683489,13,-5,"U","America/Nassau" +1944,"Governors Harbour","Governor's Harbor","Bahamas","GHB","MYEM",25.284706,-76.331011,26,-5,"U","America/Nassau" +1945,"Normans Cay","Norman's Cay","Bahamas","","MYEN",24.594258,-76.820214,8,-5,"U","America/Nassau" +1946,"Rock Sound","Rock Sound","Bahamas","RSD","MYER",24.8917,-76.177739,10,-5,"U","America/Nassau" +1947,"Staniel Cay","Staniel Cay","Bahamas","","MYES",24.169083,-76.439056,5,-5,"U","America/Nassau" +1948,"Grand Bahama Intl","Freeport","Bahamas","FPO","MYGF",26.558686,-78.695553,7,-5,"U","America/Nassau" +1949,"Matthew Town","Matthew Town","Bahamas","IGA","MYIG",20.975,-73.666862,8,-5,"U","America/Nassau" +1950,"Deadmans Cay","Dead Man's Cay","Bahamas","LGI","MYLD",23.179014,-75.093597,9,-5,"U","America/Nassau" +1951,"Stella Maris","Stella Maris","Bahamas","SML","MYLS",23.581444,-75.270475,10,-5,"U","America/Nassau" +1952,"Mayaguana","Mayaguana","Bahamas","MYG","MYMM",22.379528,-73.0135,11,-5,"U","America/Nassau" +1953,"Lynden Pindling Intl","Nassau","Bahamas","NAS","MYNN",25.038958,-77.466231,16,-5,"U","America/Nassau" +1954,"Duncan Town","Duncan Town","Bahamas","","MYRD",22.181803,-75.729456,6,-5,"U","America/Nassau" +1955,"New Port Nelson","Port Nelson","Bahamas","","MYRP",23.684378,-74.836186,15,-5,"U","America/Nassau" +1956,"San Salvador","Cockburn Town","Bahamas","ZSA","MYSM",24.063275,-74.523967,24,-5,"U","America/Nassau" +1957,"Philip S W Goldson Intl","Belize City","Belize","BZE","MZBZ",17.539144,-88.308203,15,-6,"U","America/Belize" +1958,"Aitutaki","Aitutaki","Cook Islands","AIT","NCAI",-18.830922,-159.764233,14,-10,"U","Pacific/Rarotonga" +1959,"Rarotonga Intl","Avarua","Cook Islands","RAR","NCRG",-21.202739,-159.805556,19,-10,"U","Pacific/Rarotonga" +1960,"Nadi Intl","Nandi","Fiji","NAN","NFFN",-17.755392,177.443378,59,12,"U","Pacific/Fiji" +1961,"Nausori Intl","Nausori","Fiji","SUV","NFNA",-18.043267,178.559228,17,12,"U","Pacific/Fiji" +1963,"Fua Amotu Intl","Tongatapu","Tonga","TBU","NFTF",-21.241214,-175.149644,126,13,"U","Pacific/Tongatapu" +1964,"Vavau Intl","Vava'u","Tonga","VAV","NFTV",-18.585336,-173.961717,236,13,"U","Pacific/Tongatapu" +1965,"Bonriki Intl","Tarawa","Kiribati","TRW","NGTA",1.381636,173.147036,9,12,"U","Pacific/Tarawa" +1966,"Tabiteuea North","Tabiteuea North","Kiribati","TBF","NGTE",-1.224469,174.775614,7,12,"U",\N +6809,"Maitland Airport","Maitland","Australia","MTL","YMND",-32.7033,151.488,75,10,"O","Australia/Sydney" +1968,"Wallis","Wallis","Wallis and Futuna","WLS","NLWW",-13.238281,-176.199228,79,12,"U","Pacific/Wallis" +1969,"Faleolo Intl","Faleolo","Samoa","APW","NSFA",-13.829969,-172.008336,58,13,"U","Pacific/Apia" +1970,"Pago Pago Intl","Pago Pago","American Samoa","PPG","NSTU",-14.331,-170.7105,32,-11,"U","Pacific/Pago_Pago" +1971,"Rurutu","Rurutu","French Polynesia","RUR","NTAR",-22.434069,-151.360614,18,-10,"U",\N +1972,"Tubuai","Tubuai","French Polynesia","TUB","NTAT",-23.365353,-149.524072,7,-10,"U","Pacific/Tahiti" +1973,"Anaa","Anaa","French Polynesia","AAA","NTGA",-17.352606,-145.509956,10,-10,"U","Pacific/Tahiti" +1974,"Fangatau","Fangatau","French Polynesia","","NTGB",-15.819928,-140.88715,9,-10,"U","Pacific/Tahiti" +1975,"Tikehau","Tikehau","French Polynesia","TIH","NTGC",-15.119617,-148.230697,6,-10,"U","Pacific/Tahiti" +1976,"Reao","Reao","French Polynesia","REA","NTGE",-18.465861,-136.439706,12,-10,"U",\N +1977,"Fakarava","Fakarava","French Polynesia","FAV","NTGF",-16.05415,-145.656994,13,-10,"U","Pacific/Tahiti" +1978,"Manihi","Manihi","French Polynesia","XMH","NTGI",-14.436764,-146.070056,14,-10,"U","Pacific/Tahiti" +1979,"Totegegie","Totegegie","French Polynesia","GMR","NTGJ",-23.079861,-134.890333,7,-9,"U","Pacific/Gambier" +1980,"Kaukura","Kaukura Atoll","French Polynesia","KKR","NTGK",-15.663333,-146.884769,11,-10,"U","Pacific/Tahiti" +1981,"Makemo","Makemo","French Polynesia","MKP","NTGM",-16.583919,-143.658369,3,-10,"U","Pacific/Tahiti" +1982,"Puka Puka","Puka Puka","French Polynesia","PKP","NTGP",-14.809458,-138.812811,5,-10,"U","Pacific/Tahiti" +1983,"Takapoto","Takapoto","French Polynesia","TKP","NTGT",-14.709544,-145.245814,12,-10,"U","Pacific/Tahiti" +1984,"Arutua","Arutua","French Polynesia","AXR","NTGU",-15.248289,-146.616708,9,-10,"U","Pacific/Tahiti" +1985,"Mataiva","Mataiva","French Polynesia","MVT","NTGV",-14.868055,-148.717225,11,-10,"U","Pacific/Tahiti" +1986,"Takaroa","Takaroa","French Polynesia","TKX","NTKR",-14.455781,-145.024542,13,-10,"U","Pacific/Tahiti" +1987,"Nuku Hiva","Nuku Hiva","French Polynesia","NHV","NTMD",-8.795603,-140.228789,220,-9.5,"U","Pacific/Marquesas" +6873,"Purude University Airport","Lafayette","United States","LAF",\N,40.4123056,-86.9368889,606,-5,"A","America/New_York" +1989,"Bora Bora","Bora Bora","French Polynesia","BOB","NTTB",-16.444378,-151.751286,10,-10,"U","Pacific/Tahiti" +1990,"Rangiroa","Rangiroa","French Polynesia","RGI","NTTG",-14.954283,-147.6608,10,-10,"U","Pacific/Tahiti" +1991,"Huahine","Huahine Island","French Polynesia","HUH","NTTH",-16.687242,-151.021667,7,-10,"U","Pacific/Tahiti" +1992,"Moorea","Moorea","French Polynesia","MOZ","NTTM",-17.489972,-149.761869,9,-10,"U","Pacific/Tahiti" +1993,"Hao","Hao Island","French Polynesia","HOI","NTTO",-18.074814,-140.945886,10,-10,"U",\N +1994,"Maupiti","Maupiti","French Polynesia","MAU","NTTP",-16.426486,-152.243669,15,-10,"U","Pacific/Tahiti" +1995,"Raiatea","Raiatea Island","French Polynesia","RFP","NTTR",-16.722861,-151.465856,3,-10,"U","Pacific/Tahiti" +1997,"Port Vila Bauerfield","Port-vila","Vanuatu","VLI","NVVV",-17.699325,168.319794,70,11,"U","Pacific/Efate" +1998,"Kone","Kone","New Caledonia","KNQ","NWWD",-21.053428,164.837806,23,11,"U","Pacific/Noumea" +1999,"Koumac","Koumac","New Caledonia","KOC","NWWK",-20.546314,164.255625,42,11,"U","Pacific/Noumea" +2000,"Lifou","Lifou","New Caledonia","LIF","NWWL",-20.7748,167.239864,92,11,"U","Pacific/Noumea" +2001,"Magenta","Noumea","New Caledonia","GEA","NWWM",-22.258278,166.472806,10,11,"U","Pacific/Noumea" +2002,"Mare","Mare","New Caledonia","MEE","NWWR",-21.481678,168.037508,141,11,"U","Pacific/Noumea" +2003,"Touho","Touho","New Caledonia","TOU","NWWU",-20.790028,165.259486,10,11,"U","Pacific/Noumea" +2004,"Ouvea","Ouvea","New Caledonia","UVE","NWWV",-20.640556,166.572778,23,11,"U","Pacific/Noumea" +2005,"La Tontouta","Noumea","New Caledonia","NOU","NWWW",-22.014553,166.212972,52,11,"U","Pacific/Noumea" +2006,"Auckland Intl","Auckland","New Zealand","AKL","NZAA",-37.008056,174.791667,23,12,"Z","Pacific/Auckland" +2007,"Taupo","Taupo","New Zealand","TUO","NZAP",-38.739723,176.084444,1335,12,"Z","Pacific/Auckland" +2008,"Ardmore","Ardmore","New Zealand","AMZ","NZAR",-37.029722,174.973333,111,12,"Z","Pacific/Auckland" +2009,"Christchurch Intl","Christchurch","New Zealand","CHC","NZCH",-43.489358,172.532225,123,12,"Z","Pacific/Auckland" +2010,"Chatham Islands","Chatham Island","New Zealand","CHT","NZCI",-43.81,-176.457222,43,12.75,"Z","Pacific/Chatham" +2011,"Dunedin","Dunedin","New Zealand","DUD","NZDN",-45.928055,170.198333,4,12,"Z","Pacific/Auckland" +2012,"Gisborne","Gisborne","New Zealand","GIS","NZGS",-38.663333,177.978333,15,12,"Z","Pacific/Auckland" +2013,"Glentanner","Glentanner","New Zealand","MON","NZGT",-43.906666,170.128333,1824,12,"Z","Pacific/Auckland" +2014,"Hokitika","Hokitika","New Zealand","HKK","NZHK",-42.713611,170.985278,146,12,"Z","Pacific/Auckland" +2015,"Hamilton","Hamilton","New Zealand","HLZ","NZHN",-37.866661,175.332056,172,12,"Z","Pacific/Auckland" +2016,"Hastings","Hastings","New Zealand","","NZHS",-39.646667,176.766944,72,12,"Z","Pacific/Auckland" +2017,"Kerikeri","Kerikeri","New Zealand","KKE","NZKK",-35.262779,173.911944,492,12,"Z","Pacific/Auckland" +2018,"Kaitaia","Kaitaia","New Zealand","KAT","NZKT",-35.07,173.285278,270,12,"Z","Pacific/Auckland" +2019,"Alexandra","Alexandra","New Zealand","ALR","NZLX",-45.211666,169.373333,752,12,"Z","Pacific/Auckland" +2020,"Mount Cook","Mount Cook","New Zealand","GTN","NZMC",-43.764999,170.133333,2153,12,"Z","Pacific/Auckland" +2021,"Manapouri","Manapouri","New Zealand","TEU","NZMO",-45.533056,167.65,687,12,"Z","Pacific/Auckland" +2022,"Masterton","Masterton","New Zealand","MRO","NZMS",-40.973333,175.633611,364,12,"Z","Pacific/Auckland" +2023,"New Plymouth","New Plymouth","New Zealand","NPL","NZNP",-39.008611,174.179167,97,12,"Z","Pacific/Auckland" +2024,"Nelson","Nelson","New Zealand","NSN","NZNS",-41.298333,173.221111,17,12,"Z","Pacific/Auckland" +2025,"Invercargill","Invercargill","New Zealand","IVC","NZNV",-46.412408,168.312992,5,12,"Z","Pacific/Auckland" +2026,"Ohakea","Ohakea","New Zealand","","NZOH",-40.206039,175.387808,164,12,"Z","Pacific/Auckland" +2027,"Oamaru","Oamaru","New Zealand","OAM","NZOU",-44.97,171.081667,99,12,"Z","Pacific/Auckland" +2028,"Palmerston North","Palmerston North","New Zealand","PMR","NZPM",-40.320556,175.616944,151,12,"Z","Pacific/Auckland" +2029,"Paraparaumu","Paraparaumu","New Zealand","PPQ","NZPP",-40.904722,174.989167,22,12,"Z","Pacific/Auckland" +2030,"Queenstown","Queenstown International","New Zealand","ZQN","NZQN",-45.021111,168.739167,1171,12,"Z","Pacific/Auckland" +2031,"Rotorua","Rotorua","New Zealand","ROT","NZRO",-38.109167,176.317222,935,12,"Z","Pacific/Auckland" +2032,"Waiouru","Waiouru","New Zealand","","NZRU",-39.446389,175.658333,2686,12,"Z","Pacific/Auckland" +2033,"South Pole Station","Stephen's Island","Antarctica","","NZSP",-89.999997,0,9300,12,"U","Antarctica/South_Pole" +2034,"Tauranga","Tauranga","New Zealand","TRG","NZTG",-37.671944,176.19611,13,12,"Z","Pacific/Auckland" +2035,"Timaru","Timaru","New Zealand","TIU","NZTU",-44.302778,171.225278,89,12,"Z","Pacific/Auckland" +2036,"Pukaki","Pukaki","New Zealand","","NZUK",-44.235,170.118333,1575,12,"Z","Pacific/Auckland" +2037,"Woodbourne","Woodbourne","New Zealand","BHE","NZWB",-41.518333,173.870278,109,12,"Z","Pacific/Auckland" +2038,"Mcmurdo Station","Weydon","Antarctica","","NZWD",-77.867358,167.056572,68,12,"N","Antarctica/South_Pole" +2039,"Wanaka","Wanaka","New Zealand","WKA","NZWF",-44.722222,169.245556,1142,12,"Z","Pacific/Auckland" +2040,"Wigram","Wigram","New Zealand","","NZWG",-43.551111,172.552778,74,12,"Z","Pacific/Auckland" +2041,"Whakatane","Whakatane","New Zealand","WHK","NZWK",-37.920556,176.914167,20,12,"Z","Pacific/Auckland" +2042,"Wellington Intl","Wellington","New Zealand","WLG","NZWN",-41.327221,174.805278,41,12,"Z","Pacific/Auckland" +2043,"Wairoa","Wairoa","New Zealand","","NZWO",-39.006944,177.406667,42,12,"Z","Pacific/Auckland" +2044,"Whenuapai","Whenuapai","New Zealand","","NZWP",-36.787777,174.630278,100,12,"Z","Pacific/Auckland" +2045,"Whangarei","Whangarei","New Zealand","WRE","NZWR",-35.768333,174.365,133,12,"Z","Pacific/Auckland" +2046,"Westport","Westport","New Zealand","WSZ","NZWS",-41.738056,171.580833,13,12,"Z","Pacific/Auckland" +2047,"Wanganui","Wanganui","New Zealand","WAG","NZWU",-39.962222,175.025278,27,12,"Z","Pacific/Auckland" +2048,"Herat","Herat","Afghanistan","HEA","OAHR",34.210017,62.2283,3206,4.5,"U","Asia/Kabul" +2049,"Jalalabad","Jalalabad","Afghanistan","JAA","OAJL",34.399842,70.498625,1814,4.5,"U","Asia/Kabul" +2050,"Kabul Intl","Kabul","Afghanistan","KBL","OAKB",34.565853,69.212328,5877,4.5,"U","Asia/Kabul" +2051,"Kandahar","Kandahar","Afghanistan","KDH","OAKN",31.505756,65.847822,3337,4.5,"U","Asia/Kabul" +2052,"Maimana","Maimama","Afghanistan","MMZ","OAMN",35.930789,64.760917,2743,4.5,"U","Asia/Kabul" +2053,"Mazar I Sharif","Mazar-i-sharif","Afghanistan","MZR","OAMS",36.706914,67.209678,1284,4.5,"U","Asia/Kabul" +2054,"Shindand","Shindand","Afghanistan","","OASD",33.391331,62.260975,3773,4.5,"U","Asia/Kabul" +2055,"Sheberghan","Sheberghan","Afghanistan","","OASG",36.750783,65.913164,1053,4.5,"U","Asia/Kabul" +2056,"Konduz","Kunduz","Afghanistan","UND","OAUZ",36.665111,68.910833,1457,4.5,"U","Asia/Kabul" +2057,"Bahrain Intl","Bahrain","Bahrain","BAH","OBBI",26.270834,50.63361,6,3,"U","Asia/Bahrain" +2058,"Shaikh Isa","Bahrain","Bahrain","","OBBS",25.918362,50.590557,136,3,"U","Asia/Bahrain" +2059,"Abha","Abha","Saudi Arabia","AHB","OEAB",18.240367,42.656625,6858,3,"U","Asia/Riyadh" +2060,"Al Ahsa","Al-ahsa","Saudi Arabia","HOF","OEAH",25.285306,49.485189,588,3,"U","Asia/Riyadh" +2061,"Al Baha","El-baha","Saudi Arabia","ABT","OEBA",20.296139,41.634277,5486,3,"U","Asia/Riyadh" +2062,"Bisha","Bisha","Saudi Arabia","BHH","OEBH",19.98435,42.620881,3887,3,"U","Asia/Riyadh" +2063,"Abqaiq","Abqaiq","Saudi Arabia","","OEBQ",25.911281,49.591231,229,3,"U","Asia/Riyadh" +2064,"King Fahd Intl","Dammam","Saudi Arabia","DMM","OEDF",26.471161,49.79789,72,3,"U","Asia/Riyadh" +2065,"King Abdulaziz Ab","Dhahran","Saudi Arabia","DHA","OEDR",26.265417,50.152027,84,3,"U","Asia/Riyadh" +2066,"King Abdullah Bin Abdulaziz","Gizan","Saudi Arabia","GIZ","OEGN",16.901111,42.585833,20,3,"U","Asia/Riyadh" +2067,"Gassim","Gassim","Saudi Arabia","ELQ","OEGS",26.302822,43.773911,2126,3,"U","Asia/Riyadh" +2068,"Guriat","Guriat","Saudi Arabia","URY","OEGT",31.411942,37.279469,1672,3,"U","Asia/Riyadh" +2069,"Hail","Hail","Saudi Arabia","HAS","OEHL",27.437917,41.686292,3331,3,"U","Asia/Riyadh" +2070,"Jubail","Jubail","Saudi Arabia","","OEJB",27.039028,49.405083,26,3,"U","Asia/Riyadh" +2071,"King Faisal Naval Base","Jeddah","Saudi Arabia","","OEJF",21.3481,39.173033,7,3,"U","Asia/Riyadh" +2072,"King Abdulaziz Intl","Jeddah","Saudi Arabia","JED","OEJN",21.679564,39.156536,48,3,"U","Asia/Riyadh" +2073,"King Khaled Military City","King Khalid Mil.city","Saudi Arabia","HBT","OEKK",27.900917,45.528194,1352,3,"U","Asia/Riyadh" +2074,"Prince Mohammad Bin Abdulaziz","Madinah","Saudi Arabia","MED","OEMA",24.553422,39.705061,2151,3,"U","Asia/Riyadh" +2075,"Nejran","Nejran","Saudi Arabia","EAM","OENG",17.611436,44.419169,3982,3,"U","Asia/Riyadh" +2076,"Qaisumah","Hafr Al-batin","Saudi Arabia","AQI","OEPA",28.335192,46.125069,1174,3,"U","Asia/Riyadh" +2077,"Pump Station 3","Petroline 3","Saudi Arabia","","OEPC",25.174547,47.488431,1740,3,"U","Asia/Riyadh" +2078,"Pump Station 6","Petroline 6","Saudi Arabia","","OEPF",24.710333,44.964527,2530,3,"U","Asia/Riyadh" +2079,"Pump Station 10","Petroline 10","Saudi Arabia","","OEPJ",24.107339,41.036047,2840,3,"U","Asia/Riyadh" +2080,"Rabigh","Rabigh","Saudi Arabia","","OERB",22.702608,39.069842,22,3,"U","Asia/Riyadh" +2081,"Rafha","Rafha","Saudi Arabia","RAH","OERF",29.626419,43.490614,1474,3,"U","Asia/Riyadh" +2082,"King Khaled Intl","Riyadh","Saudi Arabia","RUH","OERK",24.95764,46.698776,2049,3,"U","Asia/Riyadh" +2083,"Ras Mishab","Rash Mishab","Saudi Arabia","","OERM",28.079584,48.610973,13,3,"U","Asia/Riyadh" +2084,"Arar","Arar","Saudi Arabia","RAE","OERR",30.906589,41.138217,1813,3,"U","Asia/Riyadh" +2085,"Ras Tanura","Ras Tanura","Saudi Arabia","","OERT",26.723108,50.030814,6,3,"U","Asia/Riyadh" +2086,"Sharurah","Sharurah","Saudi Arabia","SHW","OESH",17.466875,47.121431,2363,3,"U","Asia/Riyadh" +6808,"Mudgee Airport","Mudgee","Australia","DGE","YMDG",-32.5625,149.611,1545,10,"O","Australia/Sydney" +2088,"Sulayel","Sulayel","Saudi Arabia","SLF","OESL",20.464744,45.619644,2021,3,"U","Asia/Riyadh" +2089,"Tabuk","Tabuk","Saudi Arabia","TUU","OETB",28.365417,36.618889,2551,3,"U","Asia/Riyadh" +2090,"Taif","Taif","Saudi Arabia","TIF","OETF",21.483418,40.544334,4848,3,"U","Asia/Riyadh" +2091,"Thumamah","Thumamah","Saudi Arabia","","OETH",25.212986,46.640978,1870,3,"U","Asia/Riyadh" +2092,"Ras Tanajib","Ras Tanajib","Saudi Arabia","","OETN",27.867844,48.76915,30,3,"U","Asia/Riyadh" +2093,"Turaif","Turaif","Saudi Arabia","TUI","OETR",31.692683,38.7312,2803,3,"U","Asia/Riyadh" +6872,"Miami University Airport","Oxford","United States","OXD",\N,39.5022607,-84.7843814,1040,-5,"U","America/New_York" +2095,"Wejh","Wejh","Saudi Arabia","EJH","OEWJ",26.198553,36.476381,66,3,"U","Asia/Riyadh" +2096,"Yenbo","Yenbo","Saudi Arabia","YNB","OEYN",24.144244,38.06335,26,3,"U","Asia/Riyadh" +2097,"Abadan","Abadan","Iran","ABD","OIAA",30.371111,48.228333,19,3.5,"E","Asia/Tehran" +2098,"Dezful","Dezful","Iran","","OIAD",32.434444,48.39764,474,3.5,"E","Asia/Tehran" +2099,"Aghajari","Aghajari","Iran","","OIAG",30.74445,49.677183,88,3.5,"E","Asia/Tehran" +2100,"Gachsaran","Gachsaran","Iran","","OIAH",30.337567,50.827964,2414,3.5,"E","Asia/Tehran" +2101,"Shahid Asyaee","Masjed Soleiman","Iran","QMJ","OIAI",32.002372,49.270364,1206,3.5,"E","Asia/Tehran" +2102,"Omidiyeh","Omidyeh","Iran","","OIAJ",30.835167,49.534916,85,3.5,"E","Asia/Tehran" +2103,"Mahshahr","Bandar Mahshahr","Iran","MRX","OIAM",30.556192,49.151879,8,3.5,"E","Asia/Tehran" +2104,"Ahwaz","Ahwaz","Iran","AWZ","OIAW",31.337431,48.76195,66,3.5,"E","Asia/Tehran" +2105,"Abumusa Island","Abumusa I.","Iran","","OIBA",25.875742,55.032994,23,3.5,"E","Asia/Tehran" +2106,"Bushehr","Bushehr","Iran","BUZ","OIBB",28.944811,50.834637,68,3.5,"E","Asia/Tehran" +2107,"Bastak","Bastak","Iran","","OIBH",27.212678,54.318592,1350,3.5,"E","Asia/Tehran" +2108,"Asaloyeh","Golbandi","Iran","","OIBI",27.481425,52.615483,15,3.5,"E","Asia/Tehran" +2109,"Kish Island","Kish Island","Iran","KIH","OIBK",26.526156,53.980211,101,3.5,"E","Asia/Tehran" +2110,"Bandar Lengeh","Bandar Lengeh","Iran","BDH","OIBL",26.532,54.824847,67,3.5,"E","Asia/Tehran" +2111,"Khark Island","Khark Island","Iran","","OIBQ",29.260278,50.323889,17,3.5,"E","Asia/Tehran" +2112,"Sirri Island","Siri Island","Iran","","OIBS",25.908869,54.5394,43,3.5,"E","Asia/Tehran" +2113,"Lavan Island","Lavan Island","Iran","","OIBV",26.8103,53.356289,76,3.5,"E","Asia/Tehran" +2114,"Shahid Ashrafi Esfahani","Bakhtaran","Iran","KSH","OICC",34.345853,47.158128,4301,3.5,"E","Asia/Tehran" +2117,"Sanandaj","Sanandaj","Iran","SDG","OICS",35.245856,47.009247,4522,3.5,"E","Asia/Tehran" +2118,"Hesa","Daran","Iran","","OIFE",32.928889,51.561111,5256,3.5,"E","Asia/Tehran" +2119,"Shahid Vatan Pour Air Base","Esfahan","Iran","","OIFH",32.567039,51.691594,5310,3.5,"E","Asia/Tehran" +2120,"Kashan","Kashan","Iran","","OIFK",33.895333,51.577044,3465,3.5,"E","Asia/Tehran" +2121,"Esfahan Shahid Beheshti Intl","Esfahan","Iran","","OIFM",32.750836,51.861267,5059,3.5,"E","Asia/Tehran" +2122,"Badr Air Base","Sepah","Iran","","OIFP",32.621108,51.697017,5242,3.5,"E","Asia/Tehran" +2123,"Rasht","Rasht","Iran","RAS","OIGG",37.325314,49.605817,-40,3.5,"E","Asia/Tehran" +6871,"Delaware County Airport","Muncie","United States","MIE",\N,40.2424722,-85.39575,937,-5,"U","America/New_York" +2125,"Arak","Arak","Iran","","OIHR",34.138147,49.847292,5440,3.5,"E","Asia/Tehran" +2126,"Ghazvin Azadi","Abe-ali","Iran","","OIIA",35.952097,50.450778,3769,3.5,"E","Asia/Tehran" +2127,"Kushke Nosrat","Kushke Nosrat","Iran","","OIIC",34.98395,50.806219,3008,3.5,"E","Asia/Tehran" +2128,"Doshan Tappeh","Teheran","Iran","","OIID",35.702983,51.475131,4046,3.5,"E","Asia/Tehran" +2129,"Imam Khomeini Intl","Abyek","Iran","","OIIE",35.416111,51.152222,3305,3.5,"E","Asia/Tehran" +2130,"Ghale Morghi","Teheran","Iran","","OIIG",35.644806,51.380695,3627,3.5,"E","Asia/Tehran" +2131,"Mehrabad Intl","Teheran","Iran","THR","OIII",35.689167,51.313416,3962,3.5,"E","Asia/Tehran" +2132,"Ghazvin","Ghazvin","Iran","","OIIK",36.240061,50.047153,4184,3.5,"E","Asia/Tehran" +2133,"Naja","Khoram Dareh","Iran","","OIIM",35.776286,50.881014,4040,3.5,"E","Asia/Tehran" +2134,"Bandar Abbass Intl","Bandar Abbas","Iran","BND","OIKB",27.218317,56.37785,22,3.5,"E","Asia/Tehran" +2135,"Jiroft","Jiroft","Iran","","OIKJ",28.726925,57.670269,2663,3.5,"E","Asia/Tehran" +2136,"Kerman","Kerman","Iran","KER","OIKK",30.274444,56.951111,5741,3.5,"E","Asia/Tehran" +2138,"Havadarya","Bandar Abbas","Iran","","OIKP",27.158251,56.172461,19,3.5,"E","Asia/Tehran" +2139,"Dayrestan","Gheshm I.","Iran","","OIKQ",26.754639,55.902353,45,3.5,"E","Asia/Tehran" +2141,"Sirjan","Sirjan","Iran","","OIKY",29.550933,55.672708,5846,3.5,"E","Asia/Tehran" +2142,"Birjand","Birjand","Iran","XBJ","OIMB",32.898056,59.266111,4952,3.5,"E","Asia/Tehran" +2143,"Sarakhs","Sarakhs","Iran","","OIMC",36.501178,61.064903,945,3.5,"E","Asia/Tehran" +2144,"Shahroud","Emam Shahr","Iran","","OIMJ",36.425094,55.104833,4197,3.5,"E","Asia/Tehran" +6870,"Whitsunday Airstrip","Airlie Beach","Australia","WSY","YWHI",-20.276,148.755,60,10,"O","Australia/Brisbane" +2147,"Tabas","Tabas","Iran","","OIMT",33.66775,56.892675,2312,3.5,"E","Asia/Tehran" +2148,"Kalaleh","Kalaleh","Iran","","OINE",37.383272,55.452008,425,3.5,"E","Asia/Tehran" +2151,"Ramsar","Ramsar","Iran","RZR","OINR",36.909908,50.679589,-70,3.5,"E","Asia/Tehran" +6869,"Aeropuerto de Rafaela","Rafaela","Argentina","RAF",\N,-31.282072,-61.501594,100,-3,"N","America/Cordoba" +2153,"Fasa","Fasa","Iran","","OISF",28.891756,53.723339,4261,3.5,"E","Asia/Tehran" +2154,"Jahrom","Jahrom","Iran","","OISJ",28.586675,53.579144,3358,3.5,"E","Asia/Tehran" +2156,"Lamerd","Lamerd","Iran","","OISR",27.372744,53.188794,1337,3.5,"E","Asia/Tehran" +2157,"Shiraz Shahid Dastghaib Intl","Shiraz","Iran","SYZ","OISS",29.539242,52.589786,4920,3.5,"E","Asia/Tehran" +2158,"Khoy","Khoy","Iran","","OITK",38.427453,44.973575,3981,3.5,"E","Asia/Tehran" +6868,"Sabadell Airport","Sabadell","Spain","QSA","LELL",41.5209,2.10508,0,1,"E","Europe/Madrid" +2162,"Tabriz Intl","Tabriz","Iran","TBZ","OITT",38.133889,46.235,4459,3.5,"E","Asia/Tehran" +2163,"Zanjan","Zanjan","Iran","","OITZ",36.77365,48.359422,5382,3.5,"E","Asia/Tehran" +2164,"Yazd Shahid Sadooghi","Yazd","Iran","AZD","OIYY",31.904908,54.276503,4054,3.5,"E","Asia/Tehran" +2165,"Zabol","Zabol","Iran","","OIZB",31.098333,61.543889,1628,3.5,"E","Asia/Tehran" +2166,"Chah Bahar","Chah Bahar","Iran","ZBR","OIZC",25.44335,60.382114,43,3.5,"E","Asia/Tehran" +2167,"Zahedan Intl","Zahedan","Iran","ZAH","OIZH",29.475686,60.906189,4564,3.5,"E","Asia/Tehran" +2168,"Iran Shahr","Iran Shahr","Iran","","OIZI",27.236117,60.720039,2040,3.5,"E","Asia/Tehran" +2169,"Saravan","Saravan","Iran","","OIZS",27.419261,62.315789,3930,3.5,"E","Asia/Tehran" +2170,"Queen Alia Intl","Amman","Jordan","AMM","OJAI",31.722556,35.993214,2395,2,"E","Asia/Amman" +2171,"Marka Intl","Amman","Jordan","ADJ","OJAM",31.972703,35.991569,2555,2,"E","Asia/Amman" +2172,"Aqaba King Hussein Intl","Aqaba","Jordan","AQJ","OJAQ",29.611619,35.018067,175,2,"E","Asia/Amman" +2173,"Prince Hasan","Hotel Four","Jordan","","OJHF",32.160747,37.149383,2220,2,"E","Asia/Amman" +2174,"Jerusalem","Jerusalem","West Bank","","OJJR",31.864722,35.219167,2485,2,"U","Asia/Gaza" +2175,"King Hussein","Mafraq","Jordan","OMF","OJMF",32.356353,36.259181,2240,2,"E","Asia/Amman" +2176,"Kuwait Intl","Kuwait","Kuwait","KWI","OKBK",29.226567,47.968928,206,3,"U","Asia/Kuwait" +2177,"Rafic Hariri Intl","Beirut","Lebanon","BEY","OLBA",33.820931,35.488389,87,2,"E","Asia/Beirut" +2178,"Rene Mouawad","Kleiat","Lebanon","","OLKA",34.589333,36.011322,75,2,"E","Asia/Beirut" +2179,"Abu Dhabi Intl","Abu Dhabi","United Arab Emirates","AUH","OMAA",24.432972,54.651138,88,4,"U","Asia/Dubai" +2180,"Bateen","Abu Dhabi","United Arab Emirates","AZI","OMAD",24.428333,54.458084,16,4,"U","Asia/Dubai" +2181,"Al Hamra Aux","Al Hamra","United Arab Emirates","","OMAH",24.073981,52.463644,50,4,"U","Asia/Dubai" +2182,"Jebel Dhana","Jebel Dhana","United Arab Emirates","","OMAJ",24.187428,52.614,43,4,"U","Asia/Dubai" +6867,"Reykjahlid Airport","Myvatn","Iceland","MVA","BIRL",65.6558,-16.9181,1030,0,"N","Atlantic/Reykjavik" +2184,"Al Dhafra","Abu Dhabi","United Arab Emirates","","OMAM",24.248249,54.547722,77,4,"U","Asia/Dubai" +2185,"Arzanah","Arzana","United Arab Emirates","","OMAR",24.780528,52.559944,15,4,"U","Asia/Dubai" +2186,"Das Island","Das Island","United Arab Emirates","","OMAS",25.146219,52.873711,12,4,"U","Asia/Dubai" +2187,"Zirku","Zirku","United Arab Emirates","","OMAZ",24.861542,53.077833,14,4,"U","Asia/Dubai" +2188,"Dubai Intl","Dubai","United Arab Emirates","DXB","OMDB",25.252778,55.364444,62,4,"U","Asia/Dubai" +2189,"Fujairah Intl","Fujeirah","United Arab Emirates","FJR","OMFJ",25.112225,56.323964,152,4,"U","Asia/Dubai" +2190,"Ras Al Khaimah Intl","Ras Al Khaimah","United Arab Emirates","RKT","OMRK",25.613483,55.938817,102,4,"U","Asia/Dubai" +2191,"Sharjah Intl","Sharjah","United Arab Emirates","SHJ","OMSJ",25.328575,55.51715,111,4,"U","Asia/Dubai" +2192,"Khasab","Khasab","Oman","KHS","OOKB",26.170986,56.240569,100,4,"U","Asia/Muscat" +2193,"Masirah","Masirah","Oman","MSH","OOMA",20.675434,58.890467,64,4,"U","Asia/Muscat" +2194,"Seeb Intl","Muscat","Oman","MCT","OOMS",23.593278,58.284444,48,4,"U","Asia/Muscat" +2195,"Salalah","Salalah","Oman","SLL","OOSA",17.038719,54.091297,73,4,"U","Asia/Muscat" +2196,"Thumrait","Thumrait","Oman","TTH","OOTH",17.666,54.024612,1570,4,"U","Asia/Muscat" +2197,"Bhagatanwala","Bhagtanwala","Pakistan","","OPBG",32.056108,72.9484,600,5,"N","Asia/Karachi" +6866,"Spray View Airport","Spray View","Zimbabwe","","FVSV",-17.917,25.817,3210,2,"U","Africa/Harare" +6865,"Lyon Part-Dieu Railway","Lyon","France","XYD",\N,46,5,821,1,"U","Europe/Paris" +2202,"Faisalabad Intl","Faisalabad","Pakistan","LYP","OPFA",31.365014,72.994842,591,5,"N","Asia/Karachi" +2203,"Gwadar","Gwadar","Pakistan","GWD","OPGD",25.233308,62.329494,36,5,"N","Asia/Karachi" +2204,"Gilgit","Gilgit","Pakistan","GIL","OPGT",35.918786,74.333644,4796,5,"N","Asia/Karachi" +2205,"Shahbaz Ab","Jacobsbad","Pakistan","","OPJA",28.284167,68.449711,185,5,"N","Asia/Karachi" +2206,"Jinnah Intl","Karachi","Pakistan","KHI","OPKC",24.906547,67.160797,100,5,"N","Asia/Karachi" +2207,"Allama Iqbal Intl","Lahore","Pakistan","LHE","OPLA",31.521564,74.403594,712,5,"N","Asia/Karachi" +2208,"Walton","Lahore","Pakistan","","OPLH",31.494794,74.346239,679,5,"N","Asia/Karachi" +2209,"Mangla","Mangla","Pakistan","","OPMA",33.050086,73.638381,902,5,"N","Asia/Karachi" +2210,"Muzaffarabad","Muzaffarabad","Pakistan","MFG","OPMF",34.339022,73.508639,2691,5,"N","Asia/Karachi" +2211,"Mianwali","Mianwali","Pakistan","","OPMI",32.563089,71.570681,690,5,"N","Asia/Karachi" +2212,"Moenjodaro","Moenjodaro","Pakistan","MJD","OPMJ",27.335156,68.143053,154,5,"N","Asia/Karachi" +2213,"Masroor","Karachi","Pakistan","","OPMR",24.893564,66.938753,35,5,"N","Asia/Karachi" +2214,"Multan Intl","Multan","Pakistan","MUX","OPMT",30.203222,71.419111,403,5,"N","Asia/Karachi" +2215,"Nawabshah","Nawabshah","Pakistan","WNS","OPNH",26.219442,68.390053,95,5,"N","Asia/Karachi" +2216,"Okara","Okara","Pakistan","","OPOK",30.741025,73.357736,568,5,"N","Asia/Karachi" +2217,"Panjgur","Panjgur","Pakistan","PJG","OPPG",26.954547,64.132517,3289,5,"N","Asia/Karachi" +2218,"Pasni","Pasni","Pakistan","PSI","OPPI",25.290487,63.345083,33,5,"N","Asia/Karachi" +2219,"Peshawar Intl","Peshawar","Pakistan","PEW","OPPS",33.993911,71.514581,1158,5,"N","Asia/Karachi" +2220,"Qasim","Qasim","Pakistan","","OPQS",33.560153,73.033217,1581,5,"N","Asia/Karachi" +2221,"Quetta","Quetta","Pakistan","UET","OPQT",30.251369,66.937764,5267,5,"N","Asia/Karachi" +2222,"Sheikh Zayed","Rahim Yar Khan","Pakistan","RYK","OPRK",28.3839,70.279572,271,5,"N","Asia/Karachi" +2223,"Chaklala","Islamabad","Pakistan","ISB","OPRN",33.616653,73.099233,1668,5,"N","Asia/Karachi" +2224,"Risalpur","Risalpur","Pakistan","","OPRS",34.081112,71.972583,1050,5,"N","Asia/Karachi" +2225,"Rawalakot","Rawala Kot","Pakistan","RAZ","OPRT",33.849658,73.798147,5479,5,"N","Asia/Karachi" +6864,"Point Roberts Airpark","Point Roberts","United States","1RL","K1RL",48.9797222,-123.0788889,10,-8,"A","America/Los_Angeles" +2227,"Sukkur","Sukkur","Pakistan","SKZ","OPSK",27.721989,68.791683,196,5,"N","Asia/Karachi" +2228,"Saidu Sharif","Saidu Sharif","Pakistan","SDT","OPSS",34.813556,72.352814,3183,5,"N","Asia/Karachi" +2229,"Sui","Sui","Pakistan","SUL","OPSU",28.645142,69.176917,763,5,"N","Asia/Karachi" +2230,"Talhar","Talhar","Pakistan","BDN","OPTH",24.841519,68.838408,28,5,"N","Asia/Karachi" +2232,"Wana","Wana","Pakistan","","OPWN",32.304664,69.570433,4550,5,"N","Asia/Karachi" +2233,"Zhob","Zhob","Pakistan","PZH","OPZB",31.358381,69.463606,4728,5,"N","Asia/Karachi" +2234,"Basrah Intl","Basrah","Iraq","BSR","ORMM",30.549069,47.662142,11,3,"U","Asia/Baghdad" +2235,"Aleppo Intl","Aleppo","Syria","ALP","OSAP",36.180675,37.224358,1276,2,"E","Asia/Damascus" +2236,"Damascus Intl","Damascus","Syria","DAM","OSDI",33.410636,36.514267,2020,2,"E","Asia/Damascus" +2237,"Deir Zzor","Deire Zor","Syria","DEZ","OSDZ",35.285374,40.175961,700,2,"E","Asia/Damascus" +2239,"Bassel Al Assad Intl","Latakia","Syria","LTK","OSLK",35.401094,35.948681,157,2,"E","Asia/Damascus" +2240,"Palmyra","Palmyra","Syria","PMS","OSPR",34.557361,38.316889,1322,2,"E","Asia/Damascus" +2241,"Doha Intl","Doha","Qatar","DOH","OTBD",25.261125,51.565056,35,3,"U","Asia/Qatar" +2242,"Canton","Canton Island","Kiribati","CIS","PCIS",-2.768122,-171.710394,9,13,"U","Pacific/Enderbury" +2243,"Rota Intl","Rota","Northern Mariana Islands","ROP","PGRO",14.174308,145.242536,607,10,"U","Pacific/Saipan" +2244,"Francisco C Ada Saipan Intl","Saipan","Northern Mariana Islands","SPN","PGSN",15.119003,145.729356,215,10,"U","Pacific/Saipan" +2245,"Andersen Afb","Andersen","Guam","UAM","PGUA",13.583953,144.930025,627,10,"U","Pacific/Guam" +2246,"Guam Intl","Agana","Guam","GUM","PGUM",13.48345,144.795983,298,10,"U","Pacific/Guam" +2247,"Tinian Intl","West Tinian","Northern Mariana Islands","TIQ","PGWT",14.999203,145.61935,271,10,"U","Pacific/Saipan" +6807,"Scone Airport","Scone","Australia","NSO","YSCO",-32.0372,150.832,745,10,"O","Australia/Sydney" +2249,"Marshall Islands Intl","Majuro","Marshall Islands","MAJ","PKMJ",7.064758,171.272022,6,12,"U","Pacific/Majuro" +2250,"Dyess Aaf","Kwajalein","Marshall Islands","","PKRO",9.396886,167.470869,9,12,"U","Pacific/Majuro" +2251,"Bucholz Aaf","Kwajalein","Marshall Islands","KWA","PKWA",8.720122,167.731661,9,12,"U","Pacific/Majuro" +2252,"Cassidy Intl","Kiritimati","Kiribati","CXI","PLCH",1.986161,-157.349778,5,-12,"U",\N +2253,"Midway Atoll","Midway","Midway Islands","MDY","PMDY",28.201725,-177.380636,13,-11,"U","Pacific/Midway" +2254,"Chuuk Intl","Chuuk","Micronesia","TKK","PTKK",7.461869,151.843006,11,10,"U","Pacific/Truk" +2255,"Pohnpei Intl","Pohnpei","Micronesia","PNI","PTPN",6.9851,158.208989,10,11,"U","Pacific/Ponape" +2256,"Babelthuap","Babelthuap","Palau","ROR","PTRO",7.367303,134.544278,176,9,"U","Pacific/Palau" +2257,"Kosrae","Kosrae","Micronesia","KSA","PTSA",5.356975,162.958386,11,11,"U","Pacific/Kosrae" +2258,"Yap Intl","Yap","Micronesia","YAP","PTYA",9.498911,138.082497,91,10,"U","Pacific/Truk" +2259,"Shang Yi","Kinmen","Taiwan","KNH","RCBS",24.427892,118.359197,93,8,"U","Asia/Taipei" +2260,"Pingtung South","Pingtung","Taiwan","PIF","RCDC",22.672367,120.461728,78,8,"U","Asia/Taipei" +2261,"Longtan","Longtang","Taiwan","","RCDI",24.855136,121.237636,790,8,"U","Asia/Taipei" +2262,"Fengnin","Fengnin","Taiwan","TTT","RCFN",22.754986,121.101681,143,8,"U","Asia/Taipei" +2263,"Lyudao","Green Island","Taiwan","GNI","RCGI",22.673853,121.466481,28,8,"U","Asia/Taipei" +2264,"Kaohsiung Intl","Kaohsiung","Taiwan","KHH","RCKH",22.577094,120.350006,31,8,"U","Asia/Taipei" +2265,"Chiayi","Chiayi","Taiwan","CYI","RCKU",23.461779,120.39283,85,8,"U","Asia/Taipei" +2267,"Lanyu","Lanyu","Taiwan","KYD","RCLY",22.028842,121.533642,44,8,"U","Asia/Taipei" +2268,"Ching Chuang Kang","Taichung","Taiwan","RMQ","RCMQ",24.264668,120.62058,663,8,"N","Asia/Taipei" +6806,"Cessnock Airport","Cessnock","Australia","CES","YCNK",-32.7875,151.342,211,10,"O","Australia/Sydney" +2270,"Tainan","Tainan","Taiwan","TNN","RCNN",22.950361,120.205778,63,8,"U","Asia/Taipei" +2271,"Hsinchu","Hsinchu","Taiwan","","RCPO",24.818033,120.939394,26,8,"U","Asia/Taipei" +2272,"Magong","Makung","Taiwan","MZG","RCQC",23.568669,119.628311,103,8,"U","Asia/Taipei" +2273,"Jhihhang","Taitung","Taiwan","","RCQS",22.793117,121.181975,128,8,"U","Asia/Taipei" +2274,"Pingtung North","Pingtung","Taiwan","","RCSQ",22.700239,120.482,97,8,"U","Asia/Taipei" +2275,"Sungshan","Taipei","Taiwan","TSA","RCSS",25.069722,121.5525,18,8,"U","Asia/Taipei" +2276,"Taoyuan Intl","Taipei","Taiwan","TPE","RCTP",25.077731,121.232822,106,8,"U","Asia/Taipei" +2277,"Wang An","Wang An","Taiwan","WOT","RCWA",23.370833,119.494444,115,8,"U","Asia/Taipei" +2278,"Hualien","Hualien","Taiwan","HUN","RCYU",24.023725,121.616906,52,8,"U","Asia/Taipei" +2279,"Narita Intl","Tokyo","Japan","NRT","RJAA",35.764722,140.386389,141,9,"U","Asia/Tokyo" +2280,"Matsumoto","Matsumoto","Japan","MMJ","RJAF",36.166758,137.922669,2182,9,"U","Asia/Tokyo" +2281,"Hyakuri","Ibaraki","Japan","IBR","RJAH",36.181083,140.415444,105,9,"U","Asia/Tokyo" +2282,"Minami Torishima","Minami Tori Shima","Japan","","RJAM",24.289697,153.979119,22,9,"U","Asia/Tokyo" +2283,"Iwo Jima","Iwojima","Japan","IWO","RJAW",24.784,141.322722,384,9,"U","Asia/Tokyo" +2284,"Nanki Shirahama","Nanki-shirahama","Japan","SHM","RJBD",33.662222,135.364444,298,9,"U","Asia/Tokyo" +2285,"Kohnan","Kohnan","Japan","","RJBK",34.590836,133.933225,3,9,"U","Asia/Tokyo" +2286,"Obihiro","Obihiro","Japan","OBO","RJCB",42.733333,143.217222,505,9,"U","Asia/Tokyo" +2287,"New Chitose","Sapporo","Japan","CTS","RJCC",42.7752,141.692283,82,9,"U","Asia/Tokyo" +2288,"Hakodate","Hakodate","Japan","HKD","RJCH",41.77,140.821944,151,9,"U","Asia/Tokyo" +2289,"Chitose","Chitose","Japan","SPK","RJCJ",42.794475,141.666447,87,9,"U","Asia/Tokyo" +2290,"Memanbetsu","Memanbetsu","Japan","MMB","RJCM",43.880606,144.164053,135,9,"U","Asia/Tokyo" +2291,"Nakashibetsu","Nakashibetsu","Japan","SHB","RJCN",43.5775,144.96,234,9,"U","Asia/Tokyo" +2293,"Tokachi","Tokachi","Japan","","RJCT",42.890544,143.158475,281,9,"U","Asia/Tokyo" +2294,"Wakkanai","Wakkanai","Japan","WKJ","RJCW",45.404167,141.800833,30,9,"U","Asia/Tokyo" +2295,"Iki","Iki","Japan","IKI","RJDB",33.749027,129.785417,41,9,"U","Asia/Tokyo" +2296,"Yamaguchi Ube","Yamaguchi","Japan","UBJ","RJDC",33.93,131.278611,23,9,"U","Asia/Tokyo" +2297,"Tsushima","Tsushima","Japan","TSJ","RJDT",34.284889,129.33055,213,9,"U","Asia/Tokyo" +2298,"Monbetsu","Monbetsu","Japan","MBE","RJEB",44.303914,143.404028,80,9,"U","Asia/Tokyo" +2299,"Asahikawa","Asahikawa","Japan","AKJ","RJEC",43.670833,142.4475,721,9,"U","Asia/Tokyo" +2300,"Okushiri","Okushiri","Japan","OIR","RJEO",42.071667,139.432911,161,9,"U","Asia/Tokyo" +2301,"Rishiri","Rishiri Island","Japan","RIS","RJER",45.242006,141.186431,112,9,"U","Asia/Tokyo" +2302,"Ashiya","Ashiya","Japan","","RJFA",33.883083,130.653,98,9,"U","Asia/Tokyo" +2303,"Yakushima","Yakushima","Japan","KUM","RJFC",30.385569,130.659017,124,9,"U","Asia/Tokyo" +2304,"Fukue","Fukue","Japan","FUJ","RJFE",32.666269,128.832808,273,9,"U","Asia/Tokyo" +2305,"Fukuoka","Fukuoka","Japan","FUK","RJFF",33.585942,130.450686,32,9,"U","Asia/Tokyo" +2306,"New Tanegashima","Tanegashima","Japan","TNE","RJFG",30.605067,130.991231,768,9,"U","Asia/Tokyo" +2307,"Kagoshima","Kagoshima","Japan","KOJ","RJFK",31.803397,130.719408,906,9,"U","Asia/Tokyo" +2308,"Miyazaki","Miyazaki","Japan","KMI","RJFM",31.877222,131.448611,20,9,"U","Asia/Tokyo" +2309,"Nyutabaru","Nyutabaru","Japan","","RJFN",32.083611,131.451389,259,9,"U","Asia/Tokyo" +2310,"Oita","Oita","Japan","OIT","RJFO",33.479444,131.737222,19,9,"U","Asia/Tokyo" +2311,"New Kitakyushu","Kitakyushu","Japan","KKJ","RJFR",33.845942,131.034689,21,9,"U","Asia/Tokyo" +2312,"Kumamoto","Kumamoto","Japan","KMJ","RJFT",32.837319,130.85505,642,9,"U","Asia/Tokyo" +2313,"Nagasaki","Nagasaki","Japan","NGS","RJFU",32.916944,129.913611,15,9,"U","Asia/Tokyo" +2314,"Kanoya","Kanoya","Japan","","RJFY",31.367608,130.845456,214,9,"U","Asia/Tokyo" +2315,"Tsuiki","Tsuiki","Japan","","RJFZ",33.685,131.040278,55,9,"U","Asia/Tokyo" +2316,"Amami","Amami","Japan","ASJ","RJKA",28.430633,129.712542,27,9,"U","Asia/Tokyo" +2317,"Okierabu","Okierabu","Japan","","RJKB",27.425522,128.700903,101,9,"U","Asia/Tokyo" +2318,"Tokunoshima","Tokunoshima","Japan","TKN","RJKN",27.836381,128.881253,17,9,"U","Asia/Tokyo" +2319,"Fukui","Fukui","Japan","","RJNF",36.142847,136.223922,19,9,"U","Asia/Tokyo" +2320,"Gifu","Gifu","Japan","","RJNG",35.394078,136.869667,128,9,"U","Asia/Tokyo" +2321,"Hamamatsu","Hamamatsu","Japan","","RJNH",34.750239,137.703083,150,9,"U","Asia/Tokyo" +2322,"Komatsu","Kanazawa","Japan","KMQ","RJNK",36.394611,136.406544,36,9,"U","Asia/Tokyo" +2323,"Oki","Oki Island","Japan","OKI","RJNO",36.181125,133.324844,311,9,"U","Asia/Tokyo" +2324,"Toyama","Toyama","Japan","TOY","RJNT",36.648333,137.1875,95,9,"U","Asia/Tokyo" +2325,"Shizuhama","Yaizu","Japan","","RJNY",34.812778,138.298056,23,9,"U","Asia/Tokyo" +2326,"Hiroshima","Hiroshima","Japan","HIJ","RJOA",34.436111,132.919444,1088,9,"U","Asia/Tokyo" +2327,"Okayama","Okayama","Japan","OKJ","RJOB",34.756944,133.855278,806,9,"U","Asia/Tokyo" +2328,"Izumo","Izumo","Japan","IZO","RJOC",35.413611,132.89,15,9,"U","Asia/Tokyo" +2329,"Hofu","Hofu","Japan","","RJOF",34.034667,131.549194,7,9,"U","Asia/Tokyo" +2330,"Yonago Kitaro","Miho","Japan","YGJ","RJOH",35.492222,133.236389,20,9,"U","Asia/Tokyo" +2331,"Iwakuni Mcas","Iwakuni","Japan","","RJOI",34.14386,132.23575,7,9,"U","Asia/Tokyo" +2332,"Kochi","Kochi","Japan","KCZ","RJOK",33.546111,133.669444,42,9,"U","Asia/Tokyo" +2333,"Matsuyama","Matsuyama","Japan","MYJ","RJOM",33.827222,132.699722,25,9,"U","Asia/Tokyo" +2334,"Osaka Intl","Osaka","Japan","ITM","RJOO",34.785528,135.438222,50,9,"U","Asia/Tokyo" +2335,"Tottori","Tottori","Japan","TTJ","RJOR",35.530069,134.166553,65,9,"U","Asia/Tokyo" +2336,"Tokushima","Tokushima","Japan","TKS","RJOS",34.132808,134.606639,26,9,"U","Asia/Tokyo" +2337,"Takamatsu","Takamatsu","Japan","TAK","RJOT",34.214167,134.015556,607,9,"U","Asia/Tokyo" +2338,"Yao","Osaka","Japan","","RJOY",34.596311,135.602944,39,9,"U","Asia/Tokyo" +2339,"Ozuki","Ozuki","Japan","","RJOZ",34.045322,131.052144,13,9,"U","Asia/Tokyo" +2340,"Aomori","Aomori","Japan","AOJ","RJSA",40.734722,140.690833,664,9,"U","Asia/Tokyo" +2341,"Yamagata","Yamagata","Japan","GAJ","RJSC",38.411894,140.371331,353,9,"U","Asia/Tokyo" +2342,"Sado","Sado","Japan","","RJSD",38.060181,138.413928,88,9,"U","Asia/Tokyo" +2343,"Hachinohe","Hachinoe","Japan","","RJSH",40.556447,141.466325,152,9,"U","Asia/Tokyo" +2344,"Hanamaki","Hanamaki","Japan","HNA","RJSI",39.428611,141.135278,297,9,"U","Asia/Tokyo" +2345,"Akita","Akita","Japan","AXT","RJSK",39.615556,140.218611,313,9,"U","Asia/Tokyo" +2346,"Misawa Ab","Misawa","Japan","MSJ","RJSM",40.703222,141.368364,119,9,"U","Asia/Tokyo" +2347,"Sendai","Sendai","Japan","SDJ","RJSS",38.139722,140.916944,15,9,"U","Asia/Tokyo" +2348,"Matsushima","Matsushima","Japan","","RJST",38.404919,141.219572,7,9,"U","Asia/Tokyo" +6862,"Sazena","Sazena","Czech Republic","LKS","LKSZ",50.1929,14.1532,233,1,"E","Europe/Prague" +2350,"Atsugi Naf","Atsugi","Japan","","RJTA",35.454611,139.450167,205,9,"U","Asia/Tokyo" +2351,"Tateyama","Tateyama","Japan","","RJTE",34.987053,139.829208,10,9,"U","Asia/Tokyo" +2352,"Hachijojima","Hachijojima","Japan","HAC","RJTH",33.115,139.785833,303,9,"U","Asia/Tokyo" +2353,"Iruma","Iruma","Japan","","RJTJ",35.841944,139.410556,295,9,"U","Asia/Tokyo" +2354,"Kisarazu","Kisarazu","Japan","","RJTK",35.398272,139.909936,10,9,"U","Asia/Tokyo" +2355,"Shimofusa","Shimofusa","Japan","","RJTL",35.798944,140.011111,98,9,"U","Asia/Tokyo" +2356,"Oshima","Oshima","Japan","OIM","RJTO",34.782033,139.360306,130,9,"U","Asia/Tokyo" +2358,"Kastner Aaf","Zama","Japan","","RJTR",35.513769,139.393675,360,9,"U","Asia/Tokyo" +2359,"Tokyo Intl","Tokyo","Japan","HND","RJTT",35.552258,139.779694,35,9,"U","Asia/Tokyo" +2360,"Yokota Ab","Yokota","Japan","OKO","RJTY",35.748492,139.348483,463,9,"U","Asia/Tokyo" +2361,"Gwangju","Kwangju","South Korea","KWJ","RKJJ",35.126389,126.808889,39,9,"U","Asia/Seoul" +2364,"Jeon Ju","Jhunju","South Korea","","RKJU",35.878436,127.11955,96,9,"U","Asia/Seoul" +2365,"Yeosu","Yeosu","South Korea","RSU","RKJY",34.842328,127.61685,53,9,"U","Asia/Seoul" +2366,"Sokcho","Sokch'o","South Korea","SHO","RKND",38.142614,128.598556,92,9,"U","Asia/Seoul" +2367,"Gangneung","Kangnung","South Korea","KAG","RKNN",37.753561,128.943625,35,9,"U","Asia/Seoul" +6861,"Macomb Municipal Airport","Macomb","United States","MQB",\N,40.5200833,-90.6523889,707,-6,"U","America/Chicago" +2370,"Jeju Intl","Cheju","South Korea","CJU","RKPC",33.511306,126.493028,118,9,"U","Asia/Seoul" +2371,"Jinhae","Chinhae","South Korea","","RKPE",35.141175,128.695792,8,9,"U","Asia/Seoul" +2372,"Gimhae Intl","Busan","South Korea","PUS","RKPK",35.179528,128.938222,6,9,"U","Asia/Seoul" +6860,"Bungle Bungle Airport","Bungle Bungle","Australia","","YBUU",-17.5453,128.307,0,8,"U","Australia/Perth" +2374,"Ulsan","Ulsan","South Korea","USN","RKPU",35.593494,129.351722,45,9,"U","Asia/Seoul" +2375,"A 511","Pyongtaek","South Korea","","RKSG",36.962214,127.031072,51,9,"U","Asia/Seoul" +2376,"Seoul Ab","Seoul East","South Korea","SSN","RKSM",37.445833,127.113889,92,9,"U","Asia/Seoul" +2377,"Osan Ab","Osan","South Korea","OSN","RKSO",37.090617,127.029594,40,9,"U","Asia/Seoul" +2378,"Gimpo","Seoul","South Korea","GMP","RKSS",37.558311,126.790586,58,9,"U","Asia/Seoul" +2379,"Suwon","Suwon","South Korea","","RKSW",37.239406,127.007053,88,9,"U","Asia/Seoul" +2380,"Pohang","Pohang","South Korea","KPO","RKTH",35.987858,129.420486,70,9,"U","Asia/Seoul" +2381,"Daegu Ab","Taegu","South Korea","TAE","RKTN",35.894108,128.658856,116,9,"U","Asia/Seoul" +2383,"Yecheon","Yechon","South Korea","YEC","RKTY",36.631933,128.35485,354,9,"U","Asia/Seoul" +2384,"Naha","Okinawa","Japan","OKA","ROAH",26.195814,127.645869,12,9,"N","Asia/Tokyo" +2385,"Ie Shima Aux Ab","Iejima","Japan","","RODE",26.728775,127.761775,184,9,"U","Asia/Tokyo" +2386,"Kadena Ab","Kadena","Japan","DNA","RODN",26.355612,127.767633,143,9,"U","Asia/Tokyo" +2387,"Ishigaki","Ishigaki","Japan","ISG","ROIG",24.344525,124.186983,93,9,"U","Asia/Tokyo" +2388,"Kumejima","Kumejima","Japan","UEO","ROKJ",26.363506,126.713806,23,9,"U","Asia/Tokyo" +2389,"Minami Daito","Minami Daito","Japan","MMD","ROMD",25.846533,131.263494,167,9,"U","Asia/Tokyo" +2390,"Miyako","Miyako","Japan","MMY","ROMY",24.782833,125.295111,150,9,"U","Asia/Tokyo" +2391,"Kitadaito","Kitadaito","Japan","KTD","RORK",25.944722,131.326944,80,9,"U","Asia/Tokyo" +2392,"Shimojishima","Shimojishima","Japan","SHI","RORS",24.826667,125.144722,54,9,"U","Asia/Tokyo" +2393,"Tarama","Tarama","Japan","","RORT",24.653889,124.675278,36,9,"U","Asia/Tokyo" +2394,"Yoron","Yoron","Japan","RNJ","RORY",27.043964,128.401517,52,9,"U","Asia/Tokyo" +2395,"Futenma Mcas","Futema","Japan","","ROTM",26.274275,127.756494,247,9,"U","Asia/Tokyo" +2396,"Yonaguni","Yonaguni Jima","Japan","OGN","ROYN",24.466944,122.977778,70,9,"U","Asia/Tokyo" +2397,"Ninoy Aquino Intl","Manila","Philippines","MNL","RPLL",14.508647,121.019581,75,8,"N","Asia/Manila" +6859,"Mary Airport","Mary","Turkmenistan","MYP","UTAM",37.6194,61.8967,728,5,"U","Asia/Ashgabat" +2399,"Cotabato","Cotabato","Philippines","CBO","RPMC",7.165242,124.209619,189,8,"N","Asia/Manila" +2400,"Cagayan De Oro","Ladag","Philippines","CGY","RPML",8.415619,124.611219,601,8,"N","Asia/Manila" +2401,"Pagadian","Pagadian","Philippines","PAG","RPMP",7.827197,123.458294,5,8,"N","Asia/Manila" +2402,"Tambler","Romblon","Philippines","","RPMR",6.058003,125.096033,505,8,"N","Asia/Manila" +6858,"Crocodile Camp","Tsavo East","Kenya","",\N,-3.070875,39.2194305555556,400,3,"U","Africa/Nairobi" +2404,"Zamboanga Intl","Zamboanga","Philippines","ZAM","RPMZ",6.922419,122.059633,33,8,"N","Asia/Manila" +2405,"Baguio","Baguio","Philippines","BAG","RPUB",16.375103,120.619636,4251,8,"N","Asia/Manila" +2406,"Daet","Daet","Philippines","","RPUD",14.129167,122.980181,10,8,"N","Asia/Manila" +2407,"Basa Ab","Floridablanca","Philippines","","RPUF",14.986527,120.4925,151,8,"N","Asia/Manila" +2408,"Lingayen","Lingayen","Philippines","","RPUG",16.034786,120.241106,7,8,"N","Asia/Manila" +2409,"San Jose","San Jose","Philippines","","RPUH",12.361517,121.046639,14,8,"N","Asia/Manila" +2410,"Fernando Ab","Lipa","Philippines","","RPUL",13.955017,121.124925,1220,8,"N","Asia/Manila" +2411,"Mamburao","Mamburao","Philippines","","RPUM",13.208092,120.60535,13,8,"N","Asia/Manila" +2414,"Vigan","Vigan","Philippines","","RPUQ",17.555331,120.355797,16,8,"N","Asia/Manila" +2415,"Baler","Baler","Philippines","","RPUR",15.729836,121.500133,108,8,"N","Asia/Manila" +6857,"Kimana","Kimana","Kenya","",\N,-2.8,37.5333333333333,3900,3,"U","Africa/Nairobi" +6856,"Solio Ranch Airport","Solio","Kenya","",\N,-0.245167,36.8849,6300,3,"U","Africa/Nairobi" +6855,"Kalundborg Flyveplads","Kalundborg","Denmark","","EKKL",55.7001,11.2549,13,1,"E","Europe/Copenhagen" +2421,"Bagabag","Bagabag","Philippines","","RPUZ",16.619194,121.252319,820,8,"N","Asia/Manila" +2422,"Daniel Z Romualdez","Tacloban","Philippines","TAC","RPVA",11.227628,125.027758,10,8,"N","Asia/Manila" +2423,"Bacolod","Bacolod","Philippines","BCD","RPVB",10.642511,122.929617,25,8,"N","Asia/Manila" +6854,"Gardermoen Airport","Oslo","Norway","GEN",\N,60.1939,11.1004,681,1,"E","Europe/Oslo" +2425,"Dumaguete","Dumaguete","Philippines","DGT","RPVD",9.333714,123.300472,15,8,"N","Asia/Manila" +2426,"Caticlan","Caticlan","Philippines","","RPVE",11.924503,121.95405,7,8,"N","Asia/Manila" +2428,"Guiuan","Guiuan","Philippines","","RPVG",11.035544,125.741594,7,8,"N","Asia/Manila" +2429,"Iloilo","Iloilo","Philippines","ILO","RPVI",10.713044,122.545297,27,8,"N","Asia/Manila" +2430,"Kalibo","Kalibo","Philippines","KLO","RPVK",11.679431,122.376294,14,8,"N","Asia/Manila" +2431,"Mactan Cebu Intl","Masbate","Philippines","","RPVM",10.307542,123.979439,31,8,"N","Asia/Manila" +6853,"Wausau Downtown Airport","Wausau","United States","AUW",\N,44.9262845,-89.6270018,1201,-6,"U","America/Chicago" +2433,"Puerto Princesa","Puerto Princesa","Philippines","PPS","RPVP",9.742119,118.758731,71,8,"N","Asia/Manila" +2435,"Antique","San Jose","Philippines","SJI","RPVS",10.766044,121.933439,23,8,"N","Asia/Manila" +2436,"Comodoro Pierrestegui","Concordia","Argentina","COC","SAAC",-31.296944,-57.996631,112,-3,"N","America/Cordoba" +2437,"Gualeguaychu","Gualeguaychu","Argentina","GHU","SAAG",-33.010278,-58.613056,75,-3,"N","America/Cordoba" +2438,"Junin","Junin","Argentina","","SAAJ",-34.545889,-60.930556,262,-3,"N","America/Cordoba" +2439,"General Urquiza","Parana","Argentina","PRA","SAAP",-31.794778,-60.480361,243,-3,"N","America/Cordoba" +2440,"Rosario","Rosario","Argentina","ROS","SAAR",-32.903611,-60.785,85,-3,"N","America/Cordoba" +2441,"Sauce Viejo","Santa Fe","Argentina","SFN","SAAV",-31.711666,-60.811668,56,-3,"N","America/Cordoba" +2442,"Aeroparque Jorge Newbery","Buenos Aires","Argentina","AEP","SABE",-34.559175,-58.415606,18,-3,"N","America/Cordoba" +2443,"Ambrosio L V Taravella","Cordoba","Argentina","COR","SACO",-31.323619,-64.207953,1604,-3,"N","America/Cordoba" +2444,"Chamical","Gobernador Gordillo","Argentina","","SACT",-30.345278,-66.29361,1503,-3,"N","America/Cordoba" +2445,"San Fernando","San Fernando","Argentina","","SADF",-34.453189,-58.589644,10,-3,"N","America/Cordoba" +2446,"Mariano Moreno","Jose C. Paz","Argentina","","SADJ",-34.56065,-58.789564,105,-3,"N","America/Cordoba" +2447,"La Plata","La Plata","Argentina","LPG","SADL",-34.972222,-57.894694,72,-3,"N","America/Cordoba" +2448,"Moron","Moron","Argentina","","SADM",-34.676317,-58.642756,95,-3,"N","America/Cordoba" +2449,"El Palomar","El Palomar","Argentina","","SADP",-34.609939,-58.612592,59,-3,"N","America/Cordoba" +2450,"Chos Malal","Chosmadal","Argentina","","SAHC",-37.444692,-70.222469,2788,-3,"N","America/Cordoba" +2451,"General Roca","Fuerte Gral Roca","Argentina","","SAHR",-39.000672,-67.620514,853,-3,"N","America/Cordoba" +2452,"El Plumerillo","Mendoza","Argentina","MDZ","SAME",-32.831717,-68.792856,2310,-3,"N","America/Cordoba" +2453,"Malargue","Malargue","Argentina","LGS","SAMM",-35.493597,-69.574267,4683,-3,"N","America/Cordoba" +2454,"San Rafael","San Rafael","Argentina","AFA","SAMR",-34.588314,-68.403854,2470,-3,"N","America/Cordoba" +2455,"Catamarca","Catamarca","Argentina","CTC","SANC",-28.593214,-65.750925,1522,-3,"N","America/Cordoba" +2456,"Santiago Del Estero","Santiago Del Estero","Argentina","SDE","SANE",-27.765617,-64.310122,656,-3,"N","America/Cordoba" +2457,"Tinogasta","Tinogasta","Argentina","","SANI",-28.03775,-67.580314,3968,-3,"N","America/Cordoba" +2458,"La Rioja","La Rioja","Argentina","IRJ","SANL",-29.381636,-66.795839,1436,-3,"N","America/Cordoba" +2459,"Chilecito","Chilecito","Argentina","","SANO",-29.223888,-67.438889,3099,-3,"N","America/Cordoba" +2460,"Teniente Benjamin Matienzo","Tucuman","Argentina","TUC","SANT",-26.840861,-65.104944,1495,-3,"N","America/Cordoba" +2461,"San Juan","San Julian","Argentina","UAQ","SANU",-31.571472,-68.418194,1959,-3,"N","America/Cordoba" +2462,"Rio Cuarto Area De Material","Rio Cuarto","Argentina","RCU","SAOC",-33.085128,-64.261314,1381,-3,"N","America/Cordoba" +2463,"Villa Dolores","Villa Dolores","Argentina","VDR","SAOD",-31.945183,-65.146283,1915,-3,"N","America/Cordoba" +2464,"Laboulaye","Laboulaye","Argentina","","SAOL",-34.135444,-63.36225,449,-3,"N","America/Cordoba" +2465,"Marcos Juarez","Marcos Juarez","Argentina","","SAOM",-32.683639,-62.157792,361,-3,"N","America/Cordoba" +2466,"Villa Reynolds","Villa Reynolds","Argentina","","SAOR",-33.725144,-65.378086,1591,-3,"N","America/Cordoba" +2467,"San Luis","San Luis","Argentina","LUQ","SAOU",-33.273192,-66.356422,2329,-3,"N","America/Cordoba" +2468,"Corrientes","Corrientes","Argentina","CNQ","SARC",-27.445503,-58.761864,203,-3,"N","America/Cordoba" +2469,"Resistencia","Resistencia","Argentina","RES","SARE",-27.449986,-59.056125,173,-3,"N","America/Cordoba" +2470,"Formosa","Formosa","Argentina","FMA","SARF",-26.212722,-58.228111,194,-3,"N","America/Cordoba" +2471,"Cataratas Del Iguazu","Iguazu Falls","Argentina","IGR","SARI",-25.737281,-54.473444,916,-3,"N","America/Cordoba" +2472,"Paso De Los Libres","Paso De Los Libres","Argentina","AOL","SARL",-29.689425,-57.152078,230,-3,"N","America/Cordoba" +2473,"Monte Caseros","Monte Caseros","Argentina","","SARM",-30.271922,-57.640231,174,-3,"N","America/Cordoba" +2474,"Posadas","Posadas","Argentina","PSS","SARP",-27.385839,-55.970728,430,-3,"N","America/Cordoba" +2475,"Termal","Presidencia R.s.pena","Argentina","","SARS",-26.756519,-60.493103,307,-3,"N","America/Cordoba" +2476,"Salta","Salta","Argentina","SLA","SASA",-24.855978,-65.486169,4088,-3,"N","America/Cordoba" +2477,"Jujuy","Jujuy","Argentina","JUJ","SASJ",-24.392778,-65.097778,3019,-3,"N","America/Cordoba" +2478,"Oran","Oran","Argentina","ORA","SASO",-23.152779,-64.32917,1168,-3,"N","America/Cordoba" +2479,"La Quiaca","La Quiaca","Argentina","","SASQ",-22.150556,-65.5775,11414,-3,"N","America/Cordoba" +6852,"Portage Municipal Airport","Portage","United States","C47",\N,43.5603136,-89.4828607,825,-6,"U","America/Chicago" +2481,"Eldorado","El Dorado","Argentina","","SATD",-26.397499,-54.574722,685,-3,"N","America/Cordoba" +2482,"Goya","Goya","Argentina","","SATG",-29.099472,-59.250583,125,-3,"N","America/Cordoba" +2483,"Obera","Obera","Argentina","","SATO",-27.518156,-55.124156,1125,-3,"N","America/Cordoba" +2484,"Reconquista","Reconquista","Argentina","","SATR",-29.210278,-59.68,161,-3,"N","America/Cordoba" +2485,"Curuzu Cuatia","Curuzu Cuatia","Argentina","","SATU",-29.770555,-57.978889,229,-3,"N","America/Cordoba" +2486,"El Bolson","El Bolson","Argentina","EHL","SAVB",-41.943189,-71.532289,1131,-3,"N","America/Cordoba" +2487,"Comodoro Rivadavia","Comodoro Rivadavia","Argentina","CRD","SAVC",-45.785347,-67.465508,190,-3,"N","America/Cordoba" +2488,"Esquel","Esquel","Argentina","EQS","SAVE",-42.90795,-71.139472,2621,-3,"N","America/Cordoba" +2490,"Almirante Zar","Trelew","Argentina","REL","SAVT",-43.2105,-65.270319,141,-3,"N","America/Cordoba" +2491,"Gobernador Castello","Viedma","Argentina","VDM","SAVV",-40.869222,-63.000389,20,-3,"N","America/Cordoba" +2492,"El Tehuelche","Puerto Madryn","Argentina","PMY","SAVY",-42.759161,-65.102725,426,-3,"N","America/Cordoba" +2493,"Base Marambio","Marambio Base","Antarctica","","SAWB",-64.238335,-56.630833,760,12,"U","Antarctica/South_Pole" +2494,"Puerto Deseado","Puerto Deseado","Argentina","PUD","SAWD",-47.735292,-65.904097,266,-3,"N","America/Cordoba" +2495,"Rio Grande","Rio Grande","Argentina","RGA","SAWE",-53.777667,-67.749389,65,-3,"N","America/Cordoba" +2496,"Rio Gallegos","Rio Gallegos","Argentina","RGL","SAWG",-51.608875,-69.312636,61,-3,"N","America/Cordoba" +2497,"Ushuaia Malvinas Argentinas","Ushuaia","Argentina","USH","SAWH",-54.843278,-68.29575,71,-3,"N","America/Cordoba" +2498,"San Julian","San Julian","Argentina","ULA","SAWJ",-49.306775,-67.802589,190,-3,"N","America/Cordoba" +2499,"Perito Moreno","Perito Moreno","Argentina","PMQ","SAWP",-46.537911,-70.978689,1410,-3,"N","America/Cordoba" +2500,"Santa Cruz","Santa Cruz","Argentina","RZA","SAWU",-50.01655,-68.579197,364,-3,"N","America/Cordoba" +2501,"Comandante Espora","Bahia Blanca","Argentina","BHI","SAZB",-38.724967,-62.169317,246,-3,"N","America/Cordoba" +2502,"Coronel Suarez","Colonel Suarez","Argentina","","SAZC",-37.446111,-61.889297,768,-3,"N","America/Cordoba" +2503,"Olavarria","Olavarria","Argentina","","SAZF",-36.890039,-60.216619,551,-3,"N","America/Cordoba" +2504,"General Pico","General Pico","Argentina","","SAZG",-35.696183,-63.758286,459,-3,"N","America/Cordoba" +2505,"Tres Arroyos","Tres Arroyos","Argentina","","SAZH",-38.386911,-60.329711,400,-3,"N","America/Cordoba" +2506,"Bolivar","Bolivar","Argentina","","SAZI",-36.186594,-61.076367,308,-3,"N","America/Cordoba" +6851,"Gogebic Iron County Airport","Ironwood","United States","IWD",\N,46.5274747,-90.1313967,1230,-6,"U","America/Chicago" +2508,"Mar Del Plata","Mar Del Plata","Argentina","MDQ","SAZM",-37.934167,-57.573333,71,-3,"N","America/Cordoba" +2509,"Presidente Peron","Neuquen","Argentina","NQN","SAZN",-38.949,-68.155711,895,-3,"N","America/Cordoba" +6850,"Mackinac Island Airport","Mackinac Island","United States","MCD",\N,45.8649344,-84.637344,740,-5,"U","America/New_York" +2511,"Comodoro P Zanni","Pehuajo","Argentina","","SAZP",-35.844592,-61.857553,278,-3,"N","America/Cordoba" +2512,"Santa Rosa","Santa Rosa","Argentina","RSA","SAZR",-36.588322,-64.275694,630,-3,"N","America/Cordoba" +2513,"San Carlos De Bariloche","San Carlos De Bariloche","Argentina","BRC","SAZS",-41.151172,-71.157542,2776,-3,"N","America/Cordoba" +2514,"Tandil","Tandil","Argentina","TDL","SAZT",-37.237392,-59.227922,574,-3,"N","America/Cordoba" +2515,"Villa Gesell","Villa Gesell","Argentina","VLG","SAZV",-37.235408,-57.029239,32,-3,"N","America/Cordoba" +2516,"Cutralco","Cutralco","Argentina","","SAZW",-38.939683,-69.264642,2133,-3,"N","America/Cordoba" +2517,"Aviador C Campos","San Martin Des Andes","Argentina","CPC","SAZY",-40.075383,-71.137294,2569,-3,"N","America/Cordoba" +2518,"Conceicao Do Araguaia","Conceicao Do Araguaia","Brazil","CDJ","SBAA",-8.348347,-49.301528,653,-4,"S","America/Boa_Vista" +2519,"Campo Delio Jardim De Mattos","Rio De Janeiro","Brazil","","SBAF",-22.875083,-43.384708,110,-3,"S","America/Sao_Paulo" +2520,"Amapa","Amapa","Brazil","","SBAM",2.077511,-50.858236,45,-3,"S","America/Fortaleza" +2521,"Araraquara","Araracuara","Brazil","AQA","SBAQ",-21.812,-48.133028,2334,-3,"S","America/Sao_Paulo" +2522,"Santa Maria","Aracaju","Brazil","AJU","SBAR",-10.984,-37.070333,23,-3,"S","America/Fortaleza" +2523,"Assis","Assis","Brazil","","SBAS",-22.638564,-50.455914,1850,-3,"S","America/Sao_Paulo" +2524,"Alta Floresta","Alta Floresta","Brazil","AFL","SBAT",-9.866092,-56.106206,947,-4,"S","America/Campo_Grande" +2525,"Aracatuba","Aracatuba","Brazil","ARU","SBAU",-21.141342,-50.424722,1361,-3,"S","America/Sao_Paulo" +2526,"Val De Cans Intl","Belem","Brazil","BEL","SBBE",-1.37925,-48.476292,54,-4,"S","America/Boa_Vista" +2527,"Comandante Gustavo Kraemer","Bage","Brazil","BGX","SBBG",-31.390528,-54.112244,600,-3,"S","America/Sao_Paulo" +2528,"Pampulha Carlos Drummond De Andrade","Belo Horizonte","Brazil","PLU","SBBH",-19.851181,-43.950628,2589,-3,"S","America/Sao_Paulo" +2529,"Bacacheri","Curitiba","Brazil","BFH","SBBI",-25.405078,-49.232036,3057,-3,"S","America/Sao_Paulo" +2530,"Major Brigadeiro Doorgal Borges","Barbacena","Brazil","","SBBQ",-21.267167,-43.761056,3657,-3,"S","America/Sao_Paulo" +2531,"Presidente Juscelino Kubitschek","Brasilia","Brazil","BSB","SBBR",-15.8711,-47.918625,3479,-3,"S","America/Sao_Paulo" +2532,"Bauru","Bauru","Brazil","BAU","SBBU",-22.345042,-49.0538,2025,-3,"S","America/Sao_Paulo" +2533,"Boa Vista","Boa Vista","Brazil","BVB","SBBV",2.846311,-60.690069,276,-4,"S","America/Boa_Vista" +2534,"Barra Do Garcas","Barra Do Garcas","Brazil","","SBBW",-15.861344,-52.388894,1147,-4,"S","America/Campo_Grande" +2535,"Cascavel","Cascavel","Brazil","CAC","SBCA",-25.000339,-53.500764,2473,-3,"S","America/Sao_Paulo" +2536,"Cachimbo","Itaituba","Brazil","","SBCC",-9.333936,-54.965422,1762,-4,"S","America/Boa_Vista" +2537,"Tancredo Neves Intl","Belo Horizonte","Brazil","CNF","SBCF",-19.63375,-43.968856,2715,-3,"S","America/Sao_Paulo" +2538,"Campo Grande","Campo Grande","Brazil","CGR","SBCG",-20.468667,-54.6725,1833,-4,"S","America/Campo_Grande" +2539,"Chapeco","Chapeco","Brazil","XAP","SBCH",-27.134219,-52.656553,2146,-3,"S","America/Sao_Paulo" +2540,"Carolina","Carolina","Brazil","CLN","SBCI",-7.320444,-47.458667,565,-3,"S","America/Fortaleza" +2541,"Forquilhinha","Criciuma","Brazil","CCM","SBCM",-28.725817,-49.424739,93,-3,"S","America/Sao_Paulo" +2542,"Canoas","Porto Alegre","Brazil","","SBCO",-29.945944,-51.144367,26,-3,"S","America/Sao_Paulo" +2543,"Bartolomeu Lisandro","Campos","Brazil","CAW","SBCP",-21.698333,-41.301669,57,-3,"S","America/Sao_Paulo" +2544,"Corumba Intl","Corumba","Brazil","CMG","SBCR",-19.011931,-57.673053,461,-4,"S","America/Campo_Grande" +2545,"Afonso Pena","Curitiba","Brazil","CWB","SBCT",-25.528475,-49.175775,2988,-3,"S","America/Sao_Paulo" +2546,"Caravelas","Caravelas","Brazil","CRQ","SBCV",-17.652283,-39.253069,36,-3,"S","America/Fortaleza" +2547,"Campo Dos Bugres","Caxias Do Sul","Brazil","CXJ","SBCX",-29.197064,-51.187536,2472,-3,"S","America/Sao_Paulo" +2548,"Marechal Rondon","Cuiaba","Brazil","CGB","SBCY",-15.652931,-56.116719,617,-4,"S","America/Campo_Grande" +2549,"Cruzeiro do Sul","Cruzeiro do Sul","Brazil","CZS","SBCZ",-7.599906,-72.769489,637,-5,"S","America/Rio_Branco" +2550,"Presidente Prudente","President Prudente","Brazil","PPB","SBDN",-22.175056,-51.424639,1477,-3,"S","America/Sao_Paulo" +2551,"Eduardo Gomes Intl","Manaus","Brazil","MAO","SBEG",-3.038611,-60.049721,264,-4,"S","America/Boa_Vista" +2552,"Jacareacanga","Jacare-acanga","Brazil","","SBEK",-6.233156,-57.776869,324,-4,"S","America/Boa_Vista" +2553,"Sao Pedro Da Aldeia","Sao Pedro Da Aldeia","Brazil","","SBES",-22.812872,-42.092633,61,-3,"S","America/Sao_Paulo" +2554,"Cataratas Intl","Foz Do Iguacu","Brazil","IGU","SBFI",-25.59615,-54.487206,787,-3,"S","America/Sao_Paulo" +2555,"Hercilio Luz","Florianopolis","Brazil","FLN","SBFL",-27.670489,-48.547181,20,-3,"S","America/Sao_Paulo" +2556,"Fernando De Noronha","Fernando Do Noronha","Brazil","FEN","SBFN",-3.854928,-32.423336,193,-3,"S","America/Fortaleza" +2557,"Fronteira","Fronteira","Brazil","","SBFT",-20.278483,-49.187472,1599,-3,"S","America/Sao_Paulo" +2558,"Furnas","Alpinopolis","Brazil","","SBFU",-20.702817,-46.335264,2413,-3,"S","America/Sao_Paulo" +2559,"Pinto Martins Intl","Fortaleza","Brazil","FOR","SBFZ",-3.776283,-38.532556,82,-3,"S","America/Fortaleza" +2560,"Galeao Antonio Carlos Jobim","Rio De Janeiro","Brazil","GIG","SBGL",-22.808903,-43.243647,28,-3,"S","America/Sao_Paulo" +2561,"Guajara Mirim","Guajara-mirim","Brazil","","SBGM",-10.786375,-65.284792,478,-4,"S","America/Boa_Vista" +2562,"Santa Genoveva","Goiania","Brazil","GYN","SBGO",-16.632033,-49.220686,2450,-3,"S","America/Sao_Paulo" +2563,"Embraer Unidade Gaviao Peixoto","Macae","Brazil","","SBGP",-21.773683,-48.405078,1998,-3,"S","America/Sao_Paulo" +2564,"Guarulhos Gov Andre Franco Montouro","Sao Paulo","Brazil","GRU","SBGR",-23.432075,-46.469511,2459,-3,"S","America/Sao_Paulo" +2565,"Guaratingueta","Guaratingueta","Brazil","","SBGW",-22.791608,-45.204778,1761,-3,"S","America/Sao_Paulo" +2566,"Altamira","Altamira","Brazil","ATM","SBHT",-3.253906,-52.253978,368,-4,"S","America/Boa_Vista" +2567,"Itacoatiara","Itaituba","Brazil","","SBIC",-3.127256,-58.481186,142,-4,"S","America/Boa_Vista" +2568,"Itaituba","Itaituba","Brazil","","SBIH",-4.242342,-56.000669,110,-4,"S","America/Boa_Vista" +2569,"Ilheus","Ilheus","Brazil","IOS","SBIL",-14.815964,-39.033197,15,-3,"S","America/Fortaleza" +2570,"Usiminas","Ipatinga","Brazil","IPN","SBIP",-19.470722,-42.487583,784,-3,"S","America/Sao_Paulo" +2571,"Hidroeletrica","Itumbiara","Brazil","","SBIT",-18.444661,-49.213361,1630,-3,"S","America/Sao_Paulo" +2572,"Prefeito Renato Moreira","Imperatriz","Brazil","IMP","SBIZ",-5.531292,-47.46005,431,-3,"S","America/Fortaleza" +2573,"Julio Cesar","Belem","Brazil","","SBJC",-1.414158,-48.460739,52,-4,"S","America/Boa_Vista" +2574,"Francisco De Assis","Juiz De Fora","Brazil","JDF","SBJF",-21.7915,-43.386778,2989,-3,"S","America/Sao_Paulo" +2575,"Presidente Castro Pinto","Joao Pessoa","Brazil","JPA","SBJP",-7.148381,-34.950681,215,-3,"S","America/Fortaleza" +2576,"Lauro Carneiro De Loyola","Joinville","Brazil","JOI","SBJV",-26.224453,-48.797364,15,-3,"S","America/Sao_Paulo" +2577,"Presidente Joao Suassuna","Campina Grande","Brazil","CPV","SBKG",-7.269917,-35.896364,1646,-3,"S","America/Fortaleza" +2578,"Viracopos","Campinas","Brazil","VCP","SBKP",-23.0075,-47.134444,2170,-3,"S","America/Sao_Paulo" +2579,"Lages","Lajes","Brazil","","SBLJ",-27.782142,-50.281486,3065,-3,"S","America/Sao_Paulo" +2580,"Lins","Lins","Brazil","LIP","SBLN",-21.664039,-49.730519,1575,-3,"S","America/Sao_Paulo" +2581,"Londrina","Londrina","Brazil","LDB","SBLO",-23.333625,-51.130072,1867,-3,"S","America/Sao_Paulo" +2582,"Bom Jesus Da Lapa","Bom Jesus Da Lapa","Brazil","LAZ","SBLP",-13.262086,-43.408114,1454,-3,"S","America/Fortaleza" +2583,"Lagoa Santa","Lagoa Santa","Brazil","","SBLS",-19.661611,-43.896403,2795,-3,"S","America/Sao_Paulo" +2584,"Maraba","Maraba","Brazil","MAB","SBMA",-5.368589,-49.138025,357,-4,"S","America/Boa_Vista" +2585,"Monte Dourado","Almeirim","Brazil","","SBMD",-0.889839,-52.60225,677,-4,"S","America/Boa_Vista" +2586,"Regional De Maringa Silvio Name Junior","Maringa","Brazil","MGF","SBMG",-23.476392,-52.016406,1788,-3,"S","America/Sao_Paulo" +2587,"Mario Ribeiro","Montes Claros","Brazil","MOC","SBMK",-16.706925,-43.8189,2191,-3,"S","America/Sao_Paulo" +6849,"Grand Marais Cook County Airport","Grand Marais","United States","GRM","KCKC",47.8383333,-90.3829444,1799,-6,"U","America/Chicago" +2589,"Ponta Pelada","Manaus","Brazil","","SBMN",-3.146042,-59.9863,267,-4,"S","America/Boa_Vista" +2590,"Zumbi Dos Palmares","Maceio","Brazil","MCZ","SBMO",-9.510808,-35.791678,387,-3,"S","America/Fortaleza" +2591,"Macapa","Macapa","Brazil","MCP","SBMQ",0.050664,-51.072178,56,-3,"S","America/Fortaleza" +2592,"Dix Sept Rosado","Mocord","Brazil","","SBMS",-5.201919,-37.364347,77,-3,"S","America/Fortaleza" +2593,"Marte","Sao Paulo","Brazil","","SBMT",-23.509119,-46.637753,2368,-3,"S","America/Sao_Paulo" +2594,"Manicore","Manicore","Brazil","MNX","SBMY",-5.811381,-61.278319,174,-4,"S","America/Boa_Vista" +2595,"Ministro Victor Konder Intl","Navegantes","Brazil","NVT","SBNF",-26.879999,-48.65139,18,-3,"S","America/Sao_Paulo" +2596,"Santo Angelo","Santo Angelo","Brazil","GEL","SBNM",-28.281683,-54.169139,1056,-3,"S","America/Sao_Paulo" +2597,"Augusto Severo","Natal","Brazil","NAT","SBNT",-5.911417,-35.247717,169,-3,"S","America/Fortaleza" +2598,"Oiapoque","Oioiapoque","Brazil","","SBOI",3.855486,-51.796867,63,-3,"S","America/Fortaleza" +2599,"Salgado Filho","Porto Alegre","Brazil","POA","SBPA",-29.994428,-51.171428,11,-3,"S","America/Sao_Paulo" +2600,"Prefeito Doutor Joao Silva Filho","Parnaiba","Brazil","","SBPB",-2.893747,-41.731961,16,-3,"S","America/Fortaleza" +2601,"Pocos De Caldas","Pocos De Caldas","Brazil","POO","SBPC",-21.843014,-46.567917,4135,-3,"S","America/Sao_Paulo" +2602,"Lauro Kurtz","Passo Fundo","Brazil","PFB","SBPF",-28.243989,-52.326558,2376,-3,"S","America/Sao_Paulo" +2603,"Pelotas","Pelotas","Brazil","PET","SBPK",-31.718353,-52.327689,59,-3,"S","America/Sao_Paulo" +2604,"Senador Nilo Coelho","Petrolina","Brazil","PNZ","SBPL",-9.362411,-40.569097,1263,-3,"S","America/Fortaleza" +2605,"Porto Nacional","Porto Nacional","Brazil","PNB","SBPN",-10.719417,-48.399736,870,-3,"S","America/Fortaleza" +2606,"Ponta Pora","Ponta Pora","Brazil","PMG","SBPP",-22.549639,-55.702614,2156,-4,"S","America/Campo_Grande" +2607,"Governador Jorge Teixeira De Oliveira","Porto Velho","Brazil","PVH","SBPV",-8.709294,-63.902281,294,-4,"S","America/Boa_Vista" +6848,"Porter County Municipal Airport","Valparaiso","United States","NPZ",\N,41.4539722,-87.0070833,770,-6,"A","America/Chicago" +2609,"Plácido de Castro","Rio Branco","Brazil","RBR","SBRB",-9.583,-67.4836,633,-5,"S","America/Rio_Branco" +2610,"Guararapes Gilberto Freyre Intl","Recife","Brazil","REC","SBRF",-8.126794,-34.923039,33,-3,"S","America/Fortaleza" +2611,"Rio Grande","Rio Grande","Brazil","RIG","SBRG",-32.082617,-52.166542,27,-3,"S","America/Sao_Paulo" +2612,"Santos Dumont","Rio De Janeiro","Brazil","SDU","SBRJ",-22.910461,-43.163133,11,-3,"S","America/Sao_Paulo" +2613,"Leite Lopes","Ribeirao Preto","Brazil","RAO","SBRP",-21.134167,-47.774189,1802,-3,"S","America/Sao_Paulo" +2614,"Santa Cruz","Rio De Janeiro","Brazil","STU","SBSC",-22.93235,-43.719092,10,-3,"S","America/Sao_Paulo" +2615,"Professor Urbano Ernesto Stumpf","Sao Jose Dos Campos","Brazil","SJK","SBSJ",-23.228172,-45.862739,2120,-3,"S","America/Sao_Paulo" +2616,"Marechal Cunha Machado Intl","Sao Luis","Brazil","SLZ","SBSL",-2.585361,-44.234139,178,-3,"S","America/Fortaleza" +2618,"Congonhas","Sao Paulo","Brazil","CGH","SBSP",-23.626692,-46.655375,2631,-3,"S","America/Sao_Paulo" +2619,"Sao Jose Do Rio Preto","Sao Jose Do Rio Preto","Brazil","SJP","SBSR",-20.816567,-49.406511,1784,-3,"S","America/Sao_Paulo" +2620,"Base Aerea De Santos","Santos","Brazil","SSZ","SBST",-23.925206,-46.2875,10,-3,"S","America/Sao_Paulo" +2621,"Deputado Luis Eduardo Magalhaes","Salvador","Brazil","SSA","SBSV",-12.910994,-38.331044,64,-3,"S","America/Fortaleza" +2622,"Trombetas","Oriximina","Brazil","TMT","SBTB",-1.4896,-56.396803,287,-4,"S","America/Boa_Vista" +2623,"Senador Petronio Portella","Teresina","Brazil","THE","SBTE",-5.059942,-42.823478,219,-3,"S","America/Fortaleza" +2624,"Tefe","Tefe","Brazil","TFF","SBTF",-3.382944,-64.724056,184,-4,"S","America/Boa_Vista" +2625,"Tarauaca","Tarauaca","Brazil","","SBTK",-8.155256,-70.783269,646,-5,"S","America/Rio_Branco" +2626,"Telemaco Borba","Telemaco Borba","Brazil","","SBTL",-24.317775,-50.651592,2610,-3,"S","America/Sao_Paulo" +2627,"Tirios","Obidos Tirios","Brazil","","SBTS",2.223472,-55.946056,1127,-4,"S","America/Boa_Vista" +2628,"Tabatinga","Tabatinga","Brazil","TBT","SBTT",-4.255669,-69.935828,279,-4,"S","America/Boa_Vista" +2629,"Tucurui","Tucurui","Brazil","TUR","SBTU",-3.786008,-49.720267,830,-4,"S","America/Boa_Vista" +2630,"Sao Gabriel Da Cachoeira","Sao Gabriel","Brazil","","SBUA",-0.148419,-66.985589,249,-4,"S","America/Boa_Vista" +2631,"Paulo Afonso","Paulo Alfonso","Brazil","PAV","SBUF",-9.400878,-38.250575,883,-3,"S","America/Fortaleza" +2632,"Rubem Berta","Uruguaiana","Brazil","URG","SBUG",-29.782178,-57.038189,256,-3,"S","America/Sao_Paulo" +2633,"Ten Cel Av Cesar Bombonato","Uberlandia","Brazil","UDI","SBUL",-18.882844,-48.225594,3094,-3,"S","America/Sao_Paulo" +2634,"Urubupunga","Castilho","Brazil","","SBUP",-20.777067,-51.564761,1169,-3,"S","America/Sao_Paulo" +2635,"Uberaba","Uberaba","Brazil","UBA","SBUR",-19.765,-47.964778,2655,-3,"S","America/Sao_Paulo" +2636,"Major Brigadeiro Trompowsky","Varginha","Brazil","VAG","SBVG",-21.590067,-45.473342,3028,-3,"S","America/Sao_Paulo" +2637,"Vilhena","Vilhena","Brazil","BVH","SBVH",-12.694375,-60.098269,2018,-4,"S","America/Boa_Vista" +2638,"Goiabeiras","Vitoria","Brazil","VIX","SBVT",-20.258056,-40.286389,11,-3,"S","America/Sao_Paulo" +2639,"Iauarete","Iauarete","Brazil","","SBYA",0.6075,-69.185837,345,-4,"S","America/Boa_Vista" +2640,"Campo Fontenelle","Piracununga","Brazil","QPS","SBYS",-21.984561,-47.334764,1968,-3,"S","America/Sao_Paulo" +2641,"Chacalluta","Arica","Chile","ARI","SCAR",-18.348531,-70.338742,167,-4,"S","America/Santiago" +2642,"Balmaceda","Balmaceda","Chile","BBA","SCBA",-45.916058,-71.689475,1722,-4,"S","America/Santiago" +2643,"El Bosque","Santiago","Chile","","SCBQ",-33.5618,-70.6884,1844,-4,"S","America/Santiago" +2644,"Chile Chico","Chile Chico","Chile","CCH","SCCC",-46.583341,-71.687405,1070,-4,"S","America/Santiago" +2645,"El Loa","Calama","Chile","CJC","SCCF",-22.498175,-68.903575,7543,-4,"S","America/Santiago" +2646,"General Bernardo O Higgins","Chillan","Chile","","SCCH",-36.582497,-72.031367,495,-4,"S","America/Santiago" +2647,"Carlos Ibanez Del Campo Intl","Punta Arenas","Chile","PUQ","SCCI",-53.002642,-70.854586,139,-4,"S","America/Santiago" +2648,"Teniente Vidal","Coyhaique","Chile","GXQ","SCCY",-45.594211,-72.106133,1020,-4,"S","America/Santiago" +2649,"Diego Aracena Intl","Iquique","Chile","IQQ","SCDA",-20.535222,-70.181275,155,-4,"S","America/Santiago" +2650,"Arturo Merino Benitez Intl","Santiago","Chile","SCL","SCEL",-33.392975,-70.785803,1555,-4,"S","America/Santiago" +2651,"Cerro Moreno Intl","Antofagasta","Chile","ANF","SCFA",-23.444478,-70.4451,455,-4,"S","America/Santiago" +2652,"Capitan Fuentes Martinez","Porvenir","Chile","","SCFM",-53.2537,-70.319228,104,-4,"S","America/Santiago" +2653,"Futaleufu","Futaleufu","Chile","","SCFT",-43.189167,-71.851112,1148,-4,"S","America/Santiago" +2654,"Maria Dolores","Los Angeles","Chile","LSQ","SCGE",-37.401731,-72.425444,374,-4,"S","America/Santiago" +2655,"Guardiamarina Zanartu","Puerto Williams","Chile","","SCGZ",-54.931072,-67.626261,88,-4,"S","America/Santiago" +2656,"Carriel Sur Intl","Concepcion","Chile","CCP","SCIE",-36.77265,-73.063106,26,-4,"S","America/Santiago" +2657,"Mataveri Intl","Easter Island","Chile","IPC","SCIP",-27.164792,-109.421831,227,-6,"S","Pacific/Easter" +2658,"Canal Bajo Carlos Hott Siebert","Osorno","Chile","ZOS","SCJO",-40.611208,-73.061042,187,-4,"S","America/Santiago" +2659,"Vallenar","Vallenar","Chile","","SCLL",-28.596403,-70.755997,1725,-4,"S","America/Santiago" +2660,"De La Independencia","Rancagua","Chile","","SCRG",-34.173694,-70.775694,1446,-4,"S","America/Santiago" +2661,"Teniente Rodolfo Marsh Martin","Isla Rey Jorge","Antarctica","","SCRM",-62.190833,-58.986667,147,12,"U","Antarctica/South_Pole" +2662,"La Florida","La Serena","Chile","LSC","SCSE",-29.916233,-71.199522,481,-4,"S","America/Santiago" +2663,"Eulogio Sanchez","Santiago","Chile","","SCTB",-33.456278,-70.546667,2129,-4,"S","America/Santiago" +2664,"Maquehue","Temuco","Chile","ZCO","SCTC",-38.766819,-72.637097,304,-4,"S","America/Santiago" +2665,"El Tepual Intl","Puerto Montt","Chile","PMC","SCTE",-41.438886,-73.093953,294,-4,"S","America/Santiago" +2666,"Chaiten","Chaiten","Chile","WCH","SCTN",-42.932808,-72.699114,13,-4,"S","America/Santiago" +2667,"Pichoy","Valdivia","Chile","ZAL","SCVD",-39.649956,-73.086111,59,-4,"S","America/Santiago" +2668,"Chachoan","Ambato","Ecuador","ATF","SEAM",-1.212067,-78.574636,8502,-5,"U","America/Guayaquil" +2669,"Hacienda Clementina","Clementia","Ecuador","","SECM",-1.706275,-79.378936,328,-5,"U","America/Guayaquil" +2670,"Francisco De Orellana","Coca","Ecuador","OCC","SECO",-0.462886,-76.986842,834,-5,"U","America/Guayaquil" +2671,"Mariscal Lamar","Cuenca","Ecuador","CUE","SECU",-2.889467,-78.984397,8306,-5,"U","America/Guayaquil" +2672,"Seymour","Galapagos","Ecuador","GPS","SEGS",-0.453758,-90.265914,207,-6,"U","Pacific/Galapagos" +2673,"Jose Joaquin De Olmedo Intl","Guayaquil","Ecuador","GYE","SEGU",-2.157419,-79.883558,19,-5,"U","America/Guayaquil" +2674,"Gualaquiza","Gualaquiza","Ecuador","","SEGZ",-3.423214,-78.566994,2640,-5,"U","America/Guayaquil" +2675,"Atahualpa","Ibarra","Ecuador","","SEIB",0.338419,-78.136422,7304,-5,"U","America/Guayaquil" +2676,"Km 192","Km-192","Ecuador","","SEKK",0.184203,-79.391956,1247,-5,"U","America/Guayaquil" +2677,"Hacienda La Julia","La Julia","Ecuador","","SELJ",-1.704381,-79.552261,50,-5,"U","America/Guayaquil" +2678,"Cotopaxi Intl","Latacunga","Ecuador","","SELT",-0.906833,-78.615756,9205,-5,"U","America/Guayaquil" +2679,"Jose Maria Velasco Ibarra","Macara","Ecuador","","SEMA",-4.378231,-79.941022,1508,-5,"U","America/Guayaquil" +2680,"Coronel E Carvajal","Macas","Ecuador","XMS","SEMC",-2.299167,-78.12075,3452,-5,"U","America/Guayaquil" +2681,"General Manuel Serrano","Machala","Ecuador","MCH","SEMH",-3.268903,-79.961572,11,-5,"U","America/Guayaquil" +2682,"Montalvo","Montalvo","Ecuador","","SEMO",-2.067014,-76.975742,960,-5,"U","America/Guayaquil" +2683,"Eloy Alfaro Intl","Manta","Ecuador","MEC","SEMT",-0.946078,-80.678808,48,-5,"U","America/Guayaquil" +2684,"Maragrosa","Maragrosa","Ecuador","","SEMX",-2.851097,-79.803619,18,-5,"U","America/Guayaquil" +2685,"Amable Calle Gutierrez","Pasaje","Ecuador","","SEPS",-3.319667,-79.769165,22,-5,"U","America/Guayaquil" +2686,"Reales Tamarindos","Portoviejo","Ecuador","PVO","SEPV",-1.041647,-80.472206,130,-5,"U","America/Guayaquil" +2687,"Quevedo","Quevedo","Ecuador","","SEQE",-0.9894,-79.465114,350,-5,"U","America/Guayaquil" +2688,"Mariscal Sucre Intl","Quito","Ecuador","UIO","SEQU",-0.141144,-78.488214,9228,-5,"U","America/Guayaquil" +2689,"Chimborazo","Riobamba","Ecuador","","SERB",-1.653433,-78.656142,9151,-5,"U","America/Guayaquil" +2690,"Coronel Artilleria Victor Larrea","Santa Rosa","Ecuador","","SERO",-3.435161,-79.977817,170,-5,"U","America/Guayaquil" +2691,"General Ulpiano Paez","Salinas","Ecuador","SNC","SESA",-2.204994,-80.988878,18,-5,"U","America/Guayaquil" +2692,"Santo Domingo Los Colorados","Santo Domingo","Ecuador","","SESD",-0.248222,-79.214447,1714,-5,"U","America/Guayaquil" +2694,"Taura","Taura","Ecuador","","SETA",-2.261036,-79.680169,56,-5,"U","America/Guayaquil" +2695,"Mayor Galo Torres","Tena","Ecuador","","SETE",-0.986767,-77.819447,1708,-5,"U","America/Guayaquil" +2696,"Tarapoa","Tarapoa","Ecuador","TPC","SETR",-0.122956,-76.33775,814,-5,"U","America/Guayaquil" +2697,"Teniente Coronel Luis A Mantilla","Tulcan","Ecuador","TUA","SETU",0.809506,-77.708056,9649,-5,"U","America/Guayaquil" +6847,"Silverton","Silverton","United States","",\N,37.812545,-107.662994,9308,-7,"U","America/Denver" +2699,"Silvio Pettirossi Intl","Asuncion","Paraguay","ASU","SGAS",-25.23985,-57.519133,292,-4,"S","America/Asuncion" +2700,"Juan De Ayolas","Ayolas","Paraguay","","SGAY",-27.37065,-56.853944,223,-4,"S","America/Asuncion" +2701,"Teniente Col Carmelo Peralta","Conception","Paraguay","","SGCO",-23.44175,-57.427122,253,-4,"S","America/Asuncion" +2702,"Itaipu","Itaipu","Paraguay","","SGIB",-25.407853,-54.619417,762,-4,"S","America/Asuncion" +2703,"Dr Luis Maria Argana Intl","Mariscal Estigarribia","Paraguay","","SGME",-22.044986,-60.621694,553,-4,"S","America/Asuncion" +2704,"Carlos Miguel Gimenez","Pilar","Paraguay","","SGPI",-26.881467,-58.318036,249,-4,"S","America/Asuncion" +2705,"El Eden","Armenia","Colombia","AXM","SKAR",4.452775,-75.766447,3990,-5,"U","America/Bogota" +2706,"Tres De Mayo","Puerto Asis","Colombia","PUU","SKAS",0.505228,-76.500836,815,-5,"U","America/Bogota" +2707,"Las Flores","El Banco","Colombia","","SKBC",9.045542,-73.974931,111,-5,"U","America/Bogota" +2708,"Palonegro","Bucaramanga","Colombia","BGA","SKBG",7.1265,-73.184778,3897,-5,"U","America/Bogota" +2709,"Eldorado Intl","Bogota","Colombia","BOG","SKBO",4.701594,-74.146947,8361,-5,"U","America/Bogota" +2710,"Ernesto Cortissoz","Barranquilla","Colombia","BAQ","SKBQ",10.889589,-74.780819,98,-5,"U","America/Bogota" +2711,"Jose Celestino Mutis","Bahia Solano","Colombia","BSC","SKBS",6.202917,-77.394675,80,-5,"U","America/Bogota" +2712,"Gerardo Tobar Lopez","Buenaventura","Colombia","BUN","SKBU",3.819628,-76.989767,48,-5,"U","America/Bogota" +2713,"Camilo Daza","Cucuta","Colombia","CUC","SKCC",7.927567,-72.511547,1096,-5,"U","America/Bogota" +2714,"Rafael Nunez","Cartagena","Colombia","CTG","SKCG",10.442381,-75.512961,4,-5,"U","America/Bogota" +2715,"Alfonso Bonilla Aragon Intl","Cali","Colombia","CLO","SKCL",3.543222,-76.381583,3162,-5,"U","America/Bogota" +2716,"La Florida","Tumaco","Colombia","TCO","SKCO",1.814417,-78.749228,8,-5,"U","America/Bogota" +2717,"Las Brujas","Corozal","Colombia","CZU","SKCZ",9.332742,-75.285594,528,-5,"U","America/Bogota" +2718,"Yariguies","Barrancabermeja","Colombia","EJA","SKEJ",7.024331,-73.8068,412,-5,"U","America/Bogota" +2719,"Gustavo Artunduaga Paredes","Florencia","Colombia","FLA","SKFL",1.589189,-75.564372,803,-5,"U","America/Bogota" +2720,"Santiago Vila","Girardot","Colombia","","SKGI",4.276242,-74.796692,900,-5,"U","America/Bogota" +6846,"McCarthy Airport","McCarthy","United States","MXY",\N,61.4370608,-142.90307372,1531,-9,"U","America/Anchorage" +2722,"Juan Casiano","Guapi","Colombia","GPI","SKGP",2.570133,-77.8986,164,-5,"U","America/Bogota" +2723,"Guaymaral","Guaymaral","Colombia","","SKGY",4.812333,-74.064919,8390,-5,"U","America/Bogota" +2724,"Perales","Ibague","Colombia","IBE","SKIB",4.421608,-75.1333,2999,-5,"U","America/Bogota" +2725,"San Luis","Ipiales","Colombia","IPI","SKIP",0.861925,-77.671764,9765,-5,"U","America/Bogota" +2726,"Antonio Roldan Betancourt","Carepa","Colombia","","SKLC",7.811956,-76.716428,46,-5,"U","America/Bogota" +2727,"La Mina","La Mina","Colombia","","SKLM",11.232528,-72.490139,276,-5,"U","America/Bogota" +2728,"Alfredo Vasquez Cobo","Leticia","Colombia","LET","SKLT",-4.193549,-69.943163,277,-5,"U","America/Bogota" +2729,"Olaya Herrera","Medellin","Colombia","EOH","SKMD",6.219958,-75.590519,4940,-5,"U","America/Bogota" +2730,"Baracoa","Magangue","Colombia","MGN","SKMG",9.284739,-74.846092,178,-5,"U","America/Bogota" +2731,"Los Garzones","Monteria","Colombia","MTR","SKMR",8.823744,-75.825831,36,-5,"U","America/Bogota" +2732,"Fabio Alberto Leon Bentley","Mitu","Colombia","MVP","SKMU",1.253664,-70.233878,680,-5,"U","America/Bogota" +2733,"La Nubia","Manizales","Colombia","MZL","SKMZ",5.029597,-75.464708,6871,-5,"U","America/Bogota" +2734,"Benito Salas","Neiva","Colombia","NVA","SKNV",2.95015,-75.294,1464,-5,"U","America/Bogota" +2735,"Aguas Claras","Ocana","Colombia","OCV","SKOC",8.315061,-73.358331,3850,-5,"U","America/Bogota" +2736,"Otu","Otu","Colombia","OTU","SKOT",7.010369,-74.715497,2060,-5,"U","America/Bogota" +2737,"Puerto Bolivar","Puerto Bolivar","Colombia","","SKPB",12.221483,-71.984817,90,-5,"U","America/Bogota" +2738,"Puerto Carreno","Puerto Carreno","Colombia","PCR","SKPC",6.184717,-67.493164,177,-5,"U","America/Bogota" +2739,"Matecana","Pereira","Colombia","PEI","SKPE",4.812675,-75.739519,4416,-5,"U","America/Bogota" +2740,"Pitalito","Pitalito","Colombia","","SKPI",1.857769,-76.085719,4212,-5,"U","America/Bogota" +2741,"Guillermo Leon Valencia","Popayan","Colombia","PPN","SKPP",2.4544,-76.609319,5687,-5,"U","America/Bogota" +2742,"Antonio Narino","Pasto","Colombia","PSO","SKPS",1.396247,-77.291478,5951,-5,"U","America/Bogota" +2743,"El Embrujo","Providencia","Colombia","PVA","SKPV",13.356944,-81.35833,10,-5,"U","America/Bogota" +2744,"Mariquita","Mariquita","Colombia","","SKQU",5.212556,-74.883647,1531,-5,"U","America/Bogota" +2745,"Jose Maria Cordova","Rio Negro","Colombia","MDE","SKRG",6.164536,-75.423119,6955,-5,"U","America/Bogota" +2746,"Almirante Padilla","Rio Hacha","Colombia","RCH","SKRH",11.526222,-72.925958,43,-5,"U","America/Bogota" +2747,"Jorge E Gonzalez Torres","San Jose Del Guaviare","Colombia","SJE","SKSJ",2.579694,-72.639358,605,-5,"U","America/Bogota" +2748,"Simon Bolivar","Santa Marta","Colombia","SMR","SKSM",11.11965,-74.230647,22,-5,"U","America/Bogota" +2749,"Gustavo Rojas Pinilla","San Andres Island","Colombia","ADZ","SKSP",12.583594,-81.711192,19,-5,"U","America/Bogota" +2750,"Eduardo Falla Solano","San Vincente De Caguan","Colombia","SVI","SKSV",2.152175,-74.76635,920,-5,"U","America/Bogota" +2751,"Tame","Tame","Colombia","TME","SKTM",6.451081,-71.760261,1050,-5,"U","America/Bogota" +2752,"Santiago Perez","Arauca","Colombia","AUC","SKUC",7.068881,-70.736925,420,-5,"U","America/Bogota" +2753,"El Carano","Quibdo","Colombia","UIB","SKUI",5.690758,-76.641181,204,-5,"U","America/Bogota" +2754,"Farfan","Tulua","Colombia","ULQ","SKUL",4.088358,-76.235133,3132,-5,"U","America/Bogota" +2755,"Alfonso Lopez Pumarejo","Valledupar","Colombia","VUP","SKVP",10.435042,-73.249506,456,-5,"U","America/Bogota" +2756,"Vanguardia","Villavicencio","Colombia","VVC","SKVV",4.167875,-73.613761,1394,-5,"U","America/Bogota" +2758,"Bermejo","Bermejo","Bolivia","BJO","SLBJ",-22.773336,-64.312881,1250,-4,"U","America/La_Paz" +2759,"Jorge Wilsterman","Cochabamba","Bolivia","CBB","SLCB",-17.421058,-66.177114,8360,-4,"U","America/La_Paz" +2760,"Chimore","Chapacura","Bolivia","","SLCH",-16.990019,-65.141533,1000,-4,"U","America/La_Paz" +2761,"Heroes Del Acre","Cobija","Bolivia","CIJ","SLCO",-11.040436,-68.782972,892,-4,"U","America/La_Paz" +2762,"El Alto Intl","La Paz","Bolivia","LPB","SLLP",-16.513339,-68.192256,13325,-4,"U","America/La_Paz" +2763,"Juan Mendoza","Oruro","Bolivia","","SLOR",-17.962589,-67.076236,12146,-4,"U","America/La_Paz" +2764,"Capitan Nicolas Rojas","Potosi","Bolivia","POI","SLPO",-19.543069,-65.723706,12913,-4,"U","America/La_Paz" +2765,"Tte De Av Salvador Ogaya G","Puerto Suarez","Bolivia","PSZ","SLPS",-18.975281,-57.820586,439,-4,"U","America/La_Paz" +2766,"Santa Ana Del Yacuma","Santa Ana","Bolivia","","SLSA",-13.762208,-65.435158,472,-4,"U","America/La_Paz" +2767,"Juana Azurduy De Padilla","Sucre","Bolivia","SRE","SLSU",-19.007083,-65.288747,9527,-4,"U","America/La_Paz" +2768,"Capitan Oriel Lea Plaza","Tarija","Bolivia","TJA","SLTJ",-21.555736,-64.701325,6084,-4,"U","America/La_Paz" +2769,"Tte Av Jorge Henrich Arauz","Trinidad","Bolivia","TDD","SLTR",-14.818739,-64.918019,509,-4,"U","America/La_Paz" +2770,"Tcnl Rafael Pabon","Villa Montes","Bolivia","","SLVM",-21.255231,-63.405611,1306,-4,"U","America/La_Paz" +2771,"Viru Viru Intl","Santa Cruz","Bolivia","VVI","SLVR",-17.644756,-63.135364,1225,-4,"U","America/La_Paz" +2772,"Yacuiba","Yacuiba","Bolivia","BYC","SLYA",-21.960925,-63.651669,2116,-4,"U","America/La_Paz" +2773,"Johan A Pengel Intl","Zandery","Suriname","PBM","SMJP",5.452831,-55.187783,59,-3,"U","America/Paramaribo" +2774,"Rochambeau","Cayenne","French Guiana","CAY","SOCA",4.819808,-52.360447,26,-3,"U","America/Cayenne" +2775,"St Georges De L Oyapock","St.-georges Oyapock","French Guiana","","SOOG",3.8976,-51.804083,46,-3,"U","America/Cayenne" +2776,"Huancabamba","Huancabamba","Peru","","SPAB",-5.256767,-79.442856,6312,-5,"U","America/Lima" +2777,"Alferez Vladimir Sara Bauer","Andoas","Peru","","SPAS",-2.796128,-76.466617,728,-5,"U","America/Lima" +2778,"Atalaya","Atalaya","Peru","","SPAY",-10.729117,-73.766503,751,-5,"U","America/Lima" +6845,"Seward Airport","Seward","United States","SWD",\N,60.1269383,-149.4188122,22,-9,"U","America/Anchorage" +2780,"Iberia","Iberia","Peru","","SPBR",-11.411578,-69.488711,750,-5,"U","America/Lima" +2781,"Cap Fap David Abenzur Rengifo Intl","Pucallpa","Peru","PCL","SPCL",-8.377939,-74.574297,513,-5,"U","America/Lima" +2782,"Teniente Jaime A De Montreuil Morales","Chimbote","Peru","CHM","SPEO",-9.149614,-78.52385,69,-5,"U","America/Lima" +2783,"Puerto Esperanza","Puerto Esperanza","Peru","","SPEP",-9.768131,-70.706456,725,-5,"U","America/Lima" +2784,"Cesar Torke Podesta","Moquegua","Peru","","SPEQ",-17.178961,-70.930803,4480,-5,"U","America/Lima" +2785,"Capt Jose A Quinones Gonzales Intl","Chiclayo","Peru","CIX","SPHI",-6.787475,-79.828097,97,-5,"U","America/Lima" +2786,"Coronel Fap Alfredo Mendivil Duarte","Ayacucho","Peru","AYP","SPHO",-13.154819,-74.204417,8917,-5,"U","America/Lima" +2787,"Andahuaylas","Andahuaylas","Peru","ANS","SPHY",-13.706408,-73.350378,11300,-5,"U","America/Lima" +2788,"Comandante Fap German Arias Graziani","Anta","Peru","ATA","SPHZ",-9.347444,-77.598392,9097,-5,"U","America/Lima" +2789,"Jorge Chavez Intl","Lima","Peru","LIM","SPIM",-12.021889,-77.114319,113,-5,"U","America/Lima" +2790,"Juanjui","Juanjui","Peru","JJI","SPJI",-7.1691,-76.728561,1148,-5,"U","America/Lima" +2791,"Francisco Carle","Jauja","Peru","","SPJJ",-11.783144,-75.473394,11034,-5,"U","America/Lima" +2792,"Juliaca","Juliaca","Peru","JUL","SPJL",-15.467103,-70.158169,12552,-5,"U","America/Lima" +6844,"Michigan City Municipal Airport","Michigan City","United States","MGC","KMGC",41.7033,-86.8211,500,-6,"A","America/Chicago" +2794,"Ilo","Ilo","Peru","","SPLO",-17.695036,-71.343964,72,-5,"U","America/Lima" +2795,"Las Palmas","Las Palmas","Peru","","SPLP",-12.160708,-76.998942,250,-5,"U","America/Lima" +2796,"Pedro Canga","Tumbes","Peru","TBP","SPME",-3.552528,-80.381356,115,-5,"U","America/Lima" +2797,"Moises Benzaquen Rengifo","Yurimaguas","Peru","YMS","SPMS",-5.893772,-76.118211,587,-5,"U","America/Lima" +2799,"Collique","Collique","Peru","","SPOL",-11.9287,-77.061139,410,-5,"U","America/Lima" +2800,"Chachapoyas","Chachapoyas","Peru","CHH","SPPY",-6.201806,-77.856064,8333,-5,"U","America/Lima" +2801,"Coronel Francisco Secada Vignetta Intl","Iquitos","Peru","IQT","SPQT",-3.784739,-73.308806,306,-5,"U","America/Lima" +2802,"Rodriguez Ballon","Arequipa","Peru","AQP","SPQU",-16.341072,-71.583083,8405,-5,"U","America/Lima" +2803,"San Ramon","San Ramon","Peru","","SPRM",-11.128639,-75.3505,2600,-5,"U","America/Lima" +2804,"Capitan Carlos Martinez De Pinillos","Trujillo","Peru","TRU","SPRU",-8.081411,-79.108761,106,-5,"U","America/Lima" +2805,"Pisco Intl","Pisco","Peru","PIO","SPSO",-13.744864,-76.220284,39,-5,"U","America/Lima" +2806,"Cadete Guillermo Del Castillo Paredes","Tarapoto","Peru","TPP","SPST",-6.508742,-76.373247,869,-5,"U","America/Lima" +2807,"Coronel Carlos Ciriani Santa Rosa Intl","Tacna","Peru","TCQ","SPTN",-18.053333,-70.275833,1538,-5,"U","America/Lima" +2808,"Padre Aldamiz","Puerto Maldonado","Peru","PEM","SPTU",-12.613611,-69.228611,659,-5,"U","America/Lima" +2809,"Capitan Fap Guillermo Concha Iberico","Piura","Peru","PIU","SPUR",-5.20575,-80.616444,120,-5,"U","America/Lima" +2810,"Capitan Montes","Talara","Peru","TYL","SPYL",-4.576639,-81.254139,282,-5,"U","America/Lima" +6843,"Niijima Airport","Niijima","Japan","","RJAN",34.366944,139.268611,133,9,"N","Asia/Tokyo" +2812,"Teniente Alejandro Velasco Astete Intl","Cuzco","Peru","CUZ","SPZO",-13.535722,-71.938781,10860,-5,"U","America/Lima" +2813,"Angel S Adami","Montevideo","Uruguay","","SUAA",-34.789208,-56.264703,174,-3,"S","America/Montevideo" +2814,"Santa Bernardina Intl","Durazno","Uruguay","","SUDU",-33.358867,-56.499172,305,-3,"S","America/Montevideo" +6842,"East Glacier Park Amtrak Station","East Glacier","United States","",\N,48.443965,-113.218556,5171,-7,"A","America/Denver" +2816,"Carrasco Intl","Montevideo","Uruguay","MVD","SUMU",-34.838417,-56.030806,105,-3,"S","America/Montevideo" +2817,"Nueva Hesperides Intl","Salto","Uruguay","STY","SUSO",-31.438481,-57.985294,187,-3,"S","America/Montevideo" +2818,"Oswaldo Guevara Mujica","Acarigua","Venezuela","AGV","SVAC",9.553422,-69.237536,741,-4.5,"U","America/Caracas" +2819,"Anaco","Anaco","Venezuela","AAO","SVAN",9.430225,-64.470725,721,-4.5,"U","America/Caracas" +2820,"San Fernando De Atabapo","San Fernando Deatabapo","Venezuela","","SVAT",4.051819,-67.701072,298,-4.5,"U","America/Caracas" +2821,"General Jose Antonio Anzoategui Intl","Barcelona","Venezuela","BLA","SVBC",10.107139,-64.689161,26,-4.5,"U","America/Caracas" +2822,"Barinas","Barinas","Venezuela","BNS","SVBI",8.619575,-70.220825,666,-4.5,"U","America/Caracas" +2823,"El Libertador Ab","Maracaibo","Venezuela","","SVBL",10.183375,-67.557319,1450,-4.5,"U","America/Caracas" +2824,"Barquisimeto Intl","Barquisimeto","Venezuela","BRM","SVBM",10.042747,-69.358619,2042,-4.5,"U","America/Caracas" +2826,"Ciudad Bolivar","Ciudad Bolivar","Venezuela","CBL","SVCB",8.121898,-63.537353,197,-4.5,"U","America/Caracas" +2827,"Caicara Del Orinoco","Caicara De Orinoco","Venezuela","","SVCD",7.626078,-66.164917,141,-4.5,"U","America/Caracas" +2828,"San Carlos","San Carlos","Venezuela","","SVCJ",9.647722,-68.574656,512,-4.5,"U","America/Caracas" +2829,"Calabozo","Calabozo","Venezuela","","SVCL",8.924656,-67.417094,328,-4.5,"U","America/Caracas" +2830,"Canaima","Canaima","Venezuela","CAJ","SVCN",6.231989,-62.854433,1450,-4.5,"U","America/Caracas" +2831,"Carora","Carora","Venezuela","","SVCO",10.175603,-70.065214,1437,-4.5,"U","America/Caracas" +2832,"General Jose Francisco Bermudez","Carupano","Venezuela","CUP","SVCP",10.660014,-63.261681,33,-4.5,"U","America/Caracas" +2833,"Jose Leonardo Chirinos","Coro","Venezuela","CZE","SVCR",11.414867,-69.681656,52,-4.5,"U","America/Caracas" +2834,"Oscar Machado Zuloaga","Caracas","Venezuela","","SVCS",10.286589,-66.816219,2145,-4.5,"U","America/Caracas" +2835,"Antonio Jose De Sucre","Cumana","Venezuela","CUM","SVCU",10.450333,-64.130472,25,-4.5,"U","America/Caracas" +2836,"Capitan Manuel Rios Guarico Airbase","Carrizal","Venezuela","","SVCZ",9.372167,-66.922989,525,-4.5,"U","America/Caracas" +2837,"El Dorado","El Dorado","Venezuela","","SVED",6.715438,-61.639219,318,-4.5,"U","America/Caracas" +2838,"Elorza","Elorza","Venezuela","","SVEZ",7.059722,-69.496694,295,-4.5,"U","America/Caracas" +2839,"Guasdualito","Guasdualito","Venezuela","","SVGD",7.211081,-70.75645,426,-4.5,"U","America/Caracas" +2840,"Guiria","Guiria","Venezuela","GUI","SVGI",10.574078,-62.312667,42,-4.5,"U","America/Caracas" +2841,"Guanare","Guanare","Venezuela","GUQ","SVGU",9.026944,-69.75515,606,-4.5,"U","America/Caracas" +2842,"Higuerote","Higuerote","Venezuela","","SVHG",10.462453,-66.092758,10,-4.5,"U","America/Caracas" +2843,"Andres Miguel Salazar Marcano","Isla De Coche","Venezuela","","SVIE",10.794406,-63.981589,10,-4.5,"U","America/Caracas" +2844,"Josefa Camejo","Paraguana","Venezuela","LSP","SVJC",11.780775,-70.151497,75,-4.5,"U","America/Caracas" +2845,"San Juan De Los Morros","San Juan De Los Morros","Venezuela","","SVJM",9.906953,-67.379639,1404,-4.5,"U","America/Caracas" +2846,"La Fria","La Fria","Venezuela","LFR","SVLF",8.239167,-72.271028,323,-4.5,"U","America/Caracas" +2847,"La Orchila","La Orchila","Venezuela","","SVLO",11.808822,-66.179214,5,-4.5,"U","America/Caracas" +2848,"La Chinita Intl","Maracaibo","Venezuela","MAR","SVMC",10.558208,-71.727856,235,-4.5,"U","America/Caracas" +2849,"Alberto Carnevalli","Merida","Venezuela","MRD","SVMD",8.582294,-71.161186,5007,-4.5,"U","America/Caracas" +2850,"Del Caribe Intl Gen Santiago Marino","Porlamar","Venezuela","PMV","SVMG",10.912926,-63.967581,74,-4.5,"U","America/Caracas" +2851,"Simon Bolivar Intl","Caracas","Venezuela","CCS","SVMI",10.603117,-66.990583,235,-4.5,"U","America/Caracas" +2852,"Maturin","Maturin","Venezuela","MUN","SVMT",9.749067,-63.1534,224,-4.5,"U","America/Caracas" +2853,"Casique Aramare","Puerto Ayacucho","Venezuela","PYH","SVPA",5.619992,-67.606103,245,-4.5,"U","America/Caracas" +2854,"General Bartolome Salom Intl","Puerto Cabello","Venezuela","PBL","SVPC",10.4805,-68.073025,32,-4.5,"U","America/Caracas" +2855,"Paramillo","San Cristobal","Venezuela","","SVPM",7.801317,-72.202847,3314,-4.5,"U","America/Caracas" +2856,"General Manuel Carlos Piar","Guayana","Venezuela","PZO","SVPR",8.288528,-62.760361,472,-4.5,"U","America/Caracas" +2857,"Palmarito","Palmarito","Venezuela","","SVPT",7.575706,-70.174328,347,-4.5,"U","America/Caracas" +2858,"San Antonio Del Tachira","San Antonio","Venezuela","SVZ","SVSA",7.840831,-72.439742,1312,-4.5,"U","America/Caracas" +2859,"Santa Barbara De Barinas","Santa Barbara","Venezuela","","SVSB",7.803514,-71.165717,590,-4.5,"U","America/Caracas" +2860,"Santa Elena De Uairen","Santa Ana De Uairen","Venezuela","","SVSE",4.554722,-61.144922,2939,-4.5,"U","America/Caracas" +2861,"Mayor Buenaventura Vivas","Santo Domingo","Venezuela","STD","SVSO",7.565111,-72.035125,1083,-4.5,"U","America/Caracas" +2862,"Sub Teniente Nestor Arias","San Felipe","Venezuela","SFH","SVSP",10.278728,-68.755211,761,-4.5,"U","America/Caracas" +2863,"San Fernando De Apure","San Fernando De Apure","Venezuela","SFD","SVSR",7.883317,-67.444025,154,-4.5,"U","America/Caracas" +2864,"San Tome","San Tome","Venezuela","SOM","SVST",8.945147,-64.151083,837,-4.5,"U","America/Caracas" +2865,"Santa Barbara Del Zulia","Santa Barbara","Venezuela","STB","SVSZ",8.974425,-71.943014,32,-4.5,"U","America/Caracas" +2866,"Tucupita","Tucupita","Venezuela","TUV","SVTC",9.088994,-62.094175,105,-4.5,"U","America/Caracas" +2867,"Tumeremo","Tumeremo","Venezuela","","SVTM",7.249381,-61.528933,344,-4.5,"U","America/Caracas" +2868,"Arturo Michelena Intl","Valencia","Venezuela","VLN","SVVA",10.149733,-67.9284,1417,-4.5,"U","America/Caracas" +6841,"Flugplatz Hoexter Holzminden","Hoexter Holzminden","Germany","","EDVI",51.4838,9.2259,855,1,"E","Europe/Berlin" +2870,"Dr Antonio Nicolas Briceno","Valera","Venezuela","VLV","SVVL",9.340797,-70.584089,1893,-4.5,"U","America/Caracas" +2871,"Valle De La Pascua","Valle De La Pascua","Venezuela","VDP","SVVP",9.222028,-65.993583,410,-4.5,"U","America/Caracas" +2872,"Linden","Linden","Guyana","","SYLD",5.965922,-58.270336,180,-4,"U","America/Guyana" +2873,"Lethem","Lethem","Guyana","LTM","SYLT",3.372761,-59.789439,351,-4,"U","America/Guyana" +2874,"V C Bird Intl","Antigua","Antigua and Barbuda","ANU","TAPA",17.136749,-61.792667,62,-4,"U","America/Antigua" +2875,"Grantley Adams Intl","Bridgetown","Barbados","BGI","TBPB",13.074603,-59.492456,169,-4,"U","America/Barbados" +2876,"Canefield","Canefield","Dominica","DCF","TDCF",15.336719,-61.392211,13,-4,"U","America/Dominica" +2877,"Melville Hall","Dominica","Dominica","DOM","TDPD",15.547028,-61.3,73,-4,"U","America/Dominica" +2878,"Le Lamentin","Fort-de-france","Martinique","FDF","TFFF",14.591033,-61.003175,16,-4,"U","America/Martinique" +2879,"Grand Case","St. Martin","Guadeloupe","SFG","TFFG",18.099914,-63.047197,7,-4,"U",\N +2881,"Le Raizet","Pointe-a-pitre","Guadeloupe","PTP","TFFR",16.265306,-61.531806,36,-4,"U","America/Guadeloupe" +2882,"Point Salines Intl","Point Salines","Grenada","GND","TGPY",12.004247,-61.786192,41,-4,"U","America/Grenada" +2883,"Cyril E King","St. Thomas","Virgin Islands","STT","TIST",18.337306,-64.973361,23,-4,"U","America/St_Thomas" +2884,"Henry E Rohlsen","St. Croix Island","Virgin Islands","STX","TISX",17.701889,-64.798556,74,-4,"U","America/St_Thomas" +2885,"Rafael Hernandez","Aguadilla","Puerto Rico","BQN","TJBQ",18.494861,-67.129444,237,-4,"U","America/Puerto_Rico" +2886,"Diego Jimenez Torres","Fajardo","Puerto Rico","FAJ","TJFA",18.308889,-65.661861,64,-4,"U","America/Puerto_Rico" +2887,"Fernando Luis Ribas Dominicci","San Juan","Puerto Rico","SIG","TJIG",18.456828,-66.098139,10,-4,"U","America/Puerto_Rico" +2888,"Eugenio Maria De Hostos","Mayaguez","Puerto Rico","MAZ","TJMZ",18.255694,-67.148472,28,-4,"U","America/Puerto_Rico" +2889,"Mercedita","Ponce","Puerto Rico","PSE","TJPS",18.008306,-66.563028,29,-4,"U","America/Puerto_Rico" +2890,"Luis Munoz Marin Intl","San Juan","Puerto Rico","SJU","TJSJ",18.439417,-66.001833,9,-4,"U","America/Puerto_Rico" +2891,"Robert L Bradshaw","Basse Terre","Saint Kitts and Nevis","SKB","TKPK",17.311194,-62.718667,170,-4,"U","America/St_Kitts" +6840,"Dinslaken Schwarze-Heide","Dinslaken","Germany","","EDLD",51.3659,6.5155,198,1,"E","Europe/Berlin" +2893,"George F L Charles","Castries","Saint Lucia","SLU","TLPC",14.020228,-60.992936,22,-4,"U","America/St_Lucia" +2894,"Hewanorra Intl","Hewandorra","Saint Lucia","UVF","TLPL",13.733194,-60.952597,14,-4,"U","America/St_Lucia" +2895,"Reina Beatrix Intl","Oranjestad","Aruba","AUA","TNCA",12.501389,-70.015221,60,-4,"U","America/Aruba" +2896,"Flamingo","Kralendijk","Netherlands Antilles","BON","TNCB",12.131044,-68.268511,20,-4,"U","America/Curacao" +2897,"Hato","Willemstad","Netherlands Antilles","CUR","TNCC",12.188853,-68.959803,29,-4,"U","America/Curacao" +2898,"F D Roosevelt","Oranjestad","Netherlands Antilles","EUX","TNCE",17.496492,-62.979439,129,-4,"U","America/Curacao" +2899,"Princess Juliana Intl","Philipsburg","Netherlands Antilles","SXM","TNCM",18.040953,-63.1089,14,-4,"U","America/Curacao" +2900,"Wallblake","The Valley","Anguilla","AXA","TQPF",18.204834,-63.055084,127,-4,"U","America/Anguilla" +2901,"Crown Point","Scarborough","Trinidad and Tobago","TAB","TTCP",11.149658,-60.832194,38,-4,"U","America/Port_of_Spain" +2902,"Piarco","Port-of-spain","Trinidad and Tobago","POS","TTPP",10.595369,-61.337242,58,-4,"U","America/Port_of_Spain" +2903,"Terrance B Lettsome Intl","Tortola","British Virgin Islands","EIS","TUPJ",18.444834,-64.542975,15,-4,"U","America/Tortola" +6839,"Allakaket Airport","Allakaket","United States","AET","PFAL",66.5519,-152.6222,441,-9,"A","America/Anchorage" +2905,"Canouan","Canouan Island","Saint Vincent and the Grenadines","CIW","TVSC",12.699042,-61.342431,11,-4,"U","America/St_Vincent" +2906,"Mustique","Mustique","Saint Vincent and the Grenadines","MQS","TVSM",12.887947,-61.180161,8,-4,"U","America/St_Vincent" +2907,"E T Joshua","Kingstown","Saint Vincent and the Grenadines","SVD","TVSV",13.144306,-61.210861,66,-4,"U","America/St_Vincent" +2908,"Almaty","Alma-ata","Kazakhstan","ALA","UAAA",43.352072,77.040508,2234,6,"U","Asia/Qyzylorda" +2909,"Balkhash","Balkhash","Kazakhstan","","UAAH",46.893333,75.005,1446,6,"U","Asia/Qyzylorda" +2910,"Astana Intl","Tselinograd","Kazakhstan","TSE","UACC",51.022222,71.466944,1165,6,"U","Asia/Qyzylorda" +2911,"Taraz","Dzhambul","Kazakhstan","DMB","UADD",42.853611,71.303611,2184,6,"U","Asia/Qyzylorda" +2912,"Manas","Bishkek","Kyrgyzstan","FRU","UAFM",43.061306,74.477556,2058,6,"U","Asia/Bishkek" +2913,"Osh","Osh","Kyrgyzstan","OSS","UAFO",40.608989,72.793269,2927,6,"U","Asia/Bishkek" +2914,"Shymkent","Chimkent","Kazakhstan","CIT","UAII",42.364167,69.478889,1385,6,"U","Asia/Qyzylorda" +6803,"Yakutat","Yakutat","United States","YAK","PAYA",59.3012,-139.3937,33,-9,"A",\N +2916,"Uralsk","Uralsk","Kazakhstan","URA","UARR",51.150833,51.543056,125,5,"U","Asia/Oral" +2917,"Pavlodar","Pavlodar","Kazakhstan","PWQ","UASP",52.195,77.073889,410,6,"U","Asia/Qyzylorda" +2918,"Semipalatinsk","Semiplatinsk","Kazakhstan","PLX","UASS",50.3513,80.2344,761,6,"U","Asia/Qyzylorda" +2919,"Aktau","Shevchenko","Kazakhstan","","UATE",43.86005,51.091978,73,5,"U","Asia/Oral" +2920,"Aktyubinsk","Aktyubinsk","Kazakhstan","AKX","UATT",50.245833,57.206667,738,5,"U","Asia/Oral" +2922,"Heydar Aliyev","Baku","Azerbaijan","GYD","UBBB",40.4675,50.046667,10,4,"E","Asia/Baku" +2923,"Yakutsk","Yakutsk","Russia","YKS","UEEE",62.09325,129.770672,325,10,"N","Asia/Yakutsk" +2925,"Mirny","Mirnyj","Russia","MJZ","UERR",62.534689,114.038928,1156,10,"N","Asia/Yakutsk" +2926,"Ignatyevo","Blagoveschensk","Russia","BQS","UHBB",50.425394,127.412478,638,10,"N","Asia/Yakutsk" +2927,"Novy","Khabarovsk","Russia","KHV","UHHH",48.528044,135.188361,244,11,"N","Asia/Vladivostok" +6838,"Sawyer International Airport","Marquette","United States","MQT","KMQT",46.353611,-87.395278,1221,-5,"A","America/New_York" +2929,"Provideniya Bay","Provideniya Bay","Russia","PVS","UHMD",64.378139,-173.243306,71,12,"N","Asia/Magadan" +2930,"Sokol","Magadan","Russia","GDX","UHMM",59.910989,150.720439,574,12,"N","Asia/Magadan" +2931,"Pevek","Pevek","Russia","PWE","UHMP",69.783283,170.597006,11,12,"N",\N +2932,"Yelizovo","Petropavlovsk","Russia","PKC","UHPP",53.167889,158.453669,131,12,"N","Asia/Magadan" +2933,"Khomutovo","Yuzhno-sakhalinsk","Russia","UUS","UHSS",46.888672,142.717531,59,11,"N","Asia/Vladivostok" +2934,"Knevichi","Vladivostok","Russia","VVO","UHWW",43.398953,132.148017,46,11,"N","Asia/Vladivostok" +2935,"Kadala","Chita","Russia","HTA","UIAA",52.026317,113.305556,2272,10,"N","Asia/Yakutsk" +2936,"Bratsk","Bratsk","Russia","BTK","UIBB",56.370556,101.698331,1610,9,"N","Asia/Irkutsk" +2937,"Irkutsk","Irkutsk","Russia","IKT","UIII",52.268028,104.388975,1675,9,"N","Asia/Irkutsk" +2938,"Mukhino","Ulan-ude","Russia","UUD","UIUU",51.807764,107.437644,1690,9,"N","Asia/Irkutsk" +2939,"Boryspil Intl","Kiev","Ukraine","KBP","UKBB",50.345,30.894722,427,2,"E","Europe/Kiev" +2940,"Donetsk Intl","Donetsk","Ukraine","DOK","UKCC",48.073611,37.739722,791,2,"E","Europe/Kiev" +2941,"Dnipropetrovsk Intl","Dnepropetrovsk","Ukraine","DNK","UKDD",48.357222,35.100556,481,2,"E","Europe/Kiev" +2942,"Simferopol Intl","Simferopol","Ukraine","SIP","UKFF",45.052222,33.975139,639,2,"E","Europe/Kiev" +2944,"Zhuliany Intl","Kiev","Ukraine","IEV","UKKK",50.401694,30.449697,586,2,"E","Europe/Kiev" +2945,"Lviv Intl","Lvov","Ukraine","LWO","UKLL",49.8125,23.956111,1071,2,"E","Europe/Kiev" +6837,"Ford Airport","Iron Mountain","United States","IMT","KIMT",45.8183611,-88.1145556,1182,-6,"A","America/Chicago" +2947,"Odesa Intl","Odessa","Ukraine","ODS","UKOO",46.426767,30.676464,172,2,"E","Europe/Kiev" +2948,"Pulkovo","St. Petersburg","Russia","LED","ULLI",59.800292,30.262503,78,4,"N","Europe/Moscow" +2949,"Murmansk","Murmansk","Russia","MMK","ULMM",68.781672,32.750822,266,4,"N","Europe/Moscow" +2950,"Gomel","Gomel","Belarus","GME","UMGG",52.527022,31.016692,471,3,"E","Europe/Minsk" +2951,"Vitebsk","Vitebsk","Belarus","VTB","UMII",55.1265,30.349639,683,3,"E","Europe/Minsk" +2952,"Khrabrovo","Kaliningrad","Russia","KGD","UMKK",54.89005,20.592633,42,3,"N","Europe/Kaliningrad" +2953,"Minsk 1","Minsk","Belarus","MHP","UMMM",53.864472,27.539683,748,3,"E","Europe/Minsk" +2954,"Minsk 2","Minsk 2","Belarus","MSQ","UMMS",53.882469,28.030731,670,3,"E","Europe/Minsk" +2955,"Abakan","Abakan","Russia","ABA","UNAA",53.74,91.385,831,8,"N","Asia/Krasnoyarsk" +2956,"Barnaul","Barnaul","Russia","BAX","UNBB",53.363775,83.538533,838,7,"N","Asia/Omsk" +2957,"Kemerovo","Kemorovo","Russia","KEJ","UNEE",55.270094,86.107208,863,7,"N","Asia/Omsk" +2958,"Omsk","Omsk","Russia","OMS","UNOO",54.967042,73.310514,311,7,"N","Asia/Omsk" +2960,"Pashkovskiy","Krasnodar","Russia","KRR","URKK",45.034689,39.170539,118,4,"N","Europe/Moscow" +2961,"Uytash","Makhachkala","Russia","MCX","URML",42.816822,47.652294,12,4,"N","Europe/Moscow" +2962,"Mineralnyye Vody","Mineralnye Vody","Russia","MRV","URMM",44.225072,43.081889,1054,4,"N","Europe/Moscow" +2963,"Shpakovskoye","Stavropol","Russia","STW","URMT",45.109165,42.112778,1486,4,"N","Europe/Moscow" +2964,"Rostov Na Donu","Rostov","Russia","ROV","URRR",47.258208,39.818089,280,4,"N","Europe/Moscow" +2965,"Sochi","Sochi","Russia","AER","URSS",43.449928,39.956589,89,4,"N","Europe/Moscow" +2966,"Astrakhan","Astrakhan","Russia","ASF","URWA",46.283333,48.006278,-65,4,"N","Europe/Moscow" +2967,"Gumrak","Volgograd","Russia","VOG","URWW",48.782528,44.345544,482,4,"N","Europe/Moscow" +2968,"Balandino","Chelyabinsk","Russia","CEK","USCC",55.305836,61.503333,769,6,"N","Asia/Yekaterinburg" +2969,"Magnitogorsk","Magnetiogorsk","Russia","MQF","USCM",53.393131,58.755661,1431,6,"N","Asia/Yekaterinburg" +6834,"Great Barrier Island","Claris","New Zealand","GBZ","NZGB",-36.1429,175.2819,10,12,"Z","Pacific/Auckland" +2972,"Nizhnevartovsk","Nizhnevartovsk","Russia","NJC","USNN",60.949272,76.483617,177,6,"N","Asia/Yekaterinburg" +2973,"Bolshoye Savino","Perm","Russia","PEE","USPP",57.914517,56.021214,404,6,"N","Asia/Yekaterinburg" +2974,"Surgut","Surgut","Russia","SGC","USRR",61.343694,73.401842,200,6,"N","Asia/Yekaterinburg" +2975,"Koltsovo","Yekaterinburg","Russia","SVX","USSS",56.743108,60.802728,764,6,"N","Asia/Yekaterinburg" +2976,"Ashgabat","Ashkhabad","Turkmenistan","ASB","UTAA",37.986814,58.360967,692,5,"U","Asia/Ashgabat" +2977,"Turkmenbashi","Krasnovodsk","Turkmenistan","KRW","UTAK",40.063333,53.007222,279,5,"U","Asia/Ashgabat" +2978,"Turkmenabat","Chardzhou","Turkmenistan","","UTAV",39.083333,63.613333,630,5,"U","Asia/Ashgabat" +2979,"Dushanbe","Dushanbe","Tajikistan","DYU","UTDD",38.543333,68.825,2575,5,"U","Asia/Dushanbe" +2980,"Bukhara","Bukhara","Uzbekistan","BHK","UTSB",39.775,64.483333,751,5,"U","Asia/Samarkand" +2981,"Samarkand","Samarkand","Uzbekistan","SKD","UTSS",39.700547,66.983829,2224,5,"U","Asia/Samarkand" +6833,"Al Udeid AB","Doha","Qatar","IUD","OTBH",25.1174,51.3228,130,3,"N","Asia/Qatar" +2983,"Yuzhny","Tashkent","Uzbekistan","TAS","UTTT",41.257861,69.281186,1417,5,"U","Asia/Samarkand" +2984,"Bryansk","Bryansk","Russia","BZK","UUBP",53.214194,34.176447,663,4,"N","Europe/Moscow" +2985,"Sheremetyevo","Moscow","Russia","SVO","UUEE",55.972642,37.414589,622,4,"N","Europe/Moscow" +2986,"Migalovo","Tver","Russia","KLD","UUEM",56.824736,35.757678,469,4,"N","Europe/Moscow" +2987,"Chertovitskoye","Voronezh","Russia","VOZ","UUOO",51.814211,39.229589,514,4,"N","Europe/Moscow" +2988,"Vnukovo","Moscow","Russia","VKO","UUWW",55.591531,37.261486,685,4,"N","Europe/Moscow" +2989,"Syktyvkar","Syktyvkar","Russia","SCW","UUYY",61.64705,50.84505,342,4,"N","Europe/Moscow" +2990,"Kazan","Kazan","Russia","KZN","UWKD",55.606186,49.278728,411,4,"N","Europe/Moscow" +2991,"Orenburg","Orenburg","Russia","REN","UWOO",51.795786,55.456744,387,6,"N","Asia/Yekaterinburg" +2992,"Ufa","Ufa","Russia","UFA","UWUU",54.557511,55.874417,449,6,"N","Asia/Yekaterinburg" +2993,"Kurumoch","Samara","Russia","KBY","UWWW",53.504858,50.164336,477,4,"N","Europe/Moscow" +2994,"Ahmedabad","Ahmedabad","India","AMD","VAAH",23.077242,72.63465,189,5.5,"N","Asia/Calcutta" +2995,"Akola","Akola","India","AKD","VAAK",20.699006,77.058628,999,5.5,"N","Asia/Calcutta" +2996,"Aurangabad","Aurangabad","India","IXU","VAAU",19.862728,75.398114,1911,5.5,"N","Asia/Calcutta" +2997,"Chhatrapati Shivaji Intl","Mumbai","India","BOM","VABB",19.088686,72.867919,37,5.5,"N","Asia/Calcutta" +2998,"Bilaspur","Bilaspur","India","PAB","VABI",21.9884,82.110983,899,5.5,"N","Asia/Calcutta" +2999,"Bhuj","Bhuj","India","BHJ","VABJ",23.287828,69.670147,268,5.5,"N","Asia/Calcutta" +3000,"Belgaum","Belgaum","India","IXG","VABM",15.859286,74.618292,2487,5.5,"N","Asia/Calcutta" +3001,"Vadodara","Baroda","India","BDQ","VABO",22.336164,73.226289,129,5.5,"N","Asia/Calcutta" +3002,"Bhopal","Bhopal","India","BHO","VABP",23.287467,77.337375,1719,5.5,"N","Asia/Calcutta" +3003,"Bhavnagar","Bhaunagar","India","BHU","VABV",21.752206,72.185181,44,5.5,"N","Asia/Calcutta" +3004,"Daman","Daman","India","NMB","VADN",20.434364,72.843206,33,5.5,"N","Asia/Calcutta" +3005,"Deesa","Deesa","India","","VADS",24.267936,72.204433,485,5.5,"N","Asia/Calcutta" +3006,"Guna","Guna","India","","VAGN",24.654681,77.347347,1600,5.5,"N","Asia/Calcutta" +3007,"Goa","Goa","India","GOI","VAGO",15.380833,73.831422,184,5.5,"N","Asia/Calcutta" +3008,"Devi Ahilyabai Holkar","Indore","India","IDR","VAID",22.721786,75.801086,1850,5.5,"N","Asia/Calcutta" +3009,"Jabalpur","Jabalpur","India","JLR","VAJB",23.177817,80.052047,1624,5.5,"N","Asia/Calcutta" +3010,"Jamnagar","Jamnagar","India","JGA","VAJM",22.465522,70.012556,69,5.5,"N","Asia/Calcutta" +3011,"Kandla","Kandla","India","IXY","VAKE",23.112719,70.100289,96,5.5,"N","Asia/Calcutta" +3012,"Khajuraho","Khajuraho","India","HJR","VAKJ",24.817197,79.918597,728,5.5,"N","Asia/Calcutta" +3013,"Kolhapur","Kolhapur","India","KLH","VAKP",16.664658,74.289353,1996,5.5,"N","Asia/Calcutta" +3014,"Keshod","Keshod","India","IXK","VAKS",21.317069,70.270403,167,5.5,"N","Asia/Calcutta" +3015,"Dr Ambedkar Intl","Nagpur","India","NAG","VANP",21.092192,79.047183,1033,5.5,"N","Asia/Calcutta" +3016,"Nasik Road","Nasik Road","India","ISK","VANR",19.963739,73.807644,1959,5.5,"N","Asia/Calcutta" +3017,"Pune","Pune","India","PNQ","VAPO",18.582111,73.919697,1942,5.5,"N","Asia/Calcutta" +3018,"Porbandar","Porbandar","India","PBD","VAPR",21.648675,69.657219,23,5.5,"N","Asia/Calcutta" +3019,"Rajkot","Rajkot","India","RAJ","VARK",22.309183,70.779525,441,5.5,"N","Asia/Calcutta" +3020,"Raipur","Raipur","India","RPR","VARP",21.180406,81.738753,1041,5.5,"N","Asia/Calcutta" +3021,"Sholapur","Sholapur","India","SSE","VASL",17.627958,75.934842,1584,5.5,"N","Asia/Calcutta" +3022,"Surat","Surat","India","STV","VASU",21.114061,72.741792,16,5.5,"N","Asia/Calcutta" +3023,"Udaipur","Udaipur","India","UDR","VAUD",24.617697,73.8961,1684,5.5,"N","Asia/Calcutta" +3024,"Bandaranaike Intl Colombo","Colombo","Sri Lanka","CMB","VCBI",7.180756,79.884117,30,5.5,"U","Asia/Colombo" +3025,"Anuradhapura","Anuradhapura","Sri Lanka","","VCCA",8.301486,80.4279,324,5.5,"U","Asia/Colombo" +3026,"Batticaloa","Batticaloa","Sri Lanka","","VCCB",7.705756,81.678783,20,5.5,"U","Asia/Colombo" +3027,"Colombo Ratmalana","Colombo","Sri Lanka","RML","VCCC",6.821994,79.886208,22,5.5,"U","Asia/Colombo" +3028,"Amparai","Galoya","Sri Lanka","GOY","VCCG",7.337081,81.625881,150,5.5,"U","Asia/Colombo" +3029,"Kankesanturai","Jaffna","Sri Lanka","JAF","VCCJ",9.792331,80.070089,33,5.5,"U","Asia/Colombo" +3030,"China Bay","Trinciomalee","Sri Lanka","TRR","VCCT",8.538514,81.181853,6,5.5,"U","Asia/Colombo" +6832,"Kirkuk AB","Kirkuk","Iraq","KIK","ORKK",35.17,44.3483,1061,3,"N","Asia/Baghdad" +3033,"Kampong Chhnang","Kompong Chnang","Cambodia","","VDKH",12.255236,104.563875,56,7,"U","Asia/Phnom_Penh" +3034,"Phnom Penh Intl","Phnom-penh","Cambodia","PNH","VDPP",11.546556,104.844139,40,7,"U","Asia/Phnom_Penh" +3035,"Siem Reap","Siem-reap","Cambodia","REP","VDSR",13.410666,103.81284,60,7,"U","Asia/Phnom_Penh" +3036,"Stung Treng","Stung Treng","Cambodia","","VDST",13.531897,106.014531,203,7,"U","Asia/Phnom_Penh" +3037,"Along","Along","India","","VEAN",28.175317,94.802036,900,5.5,"N","Asia/Calcutta" +3038,"Agartala","Agartala","India","IXA","VEAT",23.886978,91.24045,46,5.5,"N","Asia/Calcutta" +3039,"Aizawl","Aizwal","India","AJL","VEAZ",23.746603,92.802767,1001,5.5,"N","Asia/Calcutta" +3040,"Bagdogra","Baghdogra","India","IXB","VEBD",26.681206,88.328567,412,5.5,"N","Asia/Calcutta" +3041,"Bokaro","Bokaro","India","","VEBK",23.643489,86.148886,715,5.5,"N","Asia/Calcutta" +3042,"Bhubaneshwar","Bhubaneswar","India","BBI","VEBS",20.244364,85.817781,138,5.5,"N","Asia/Calcutta" +3043,"Netaji Subhash Chandra Bose Intl","Kolkata","India","CCU","VECC",22.654739,88.446722,16,5.5,"N","Asia/Calcutta" +3044,"Cooch Behar","Cooch-behar","India","COH","VECO",26.330508,89.467203,138,5.5,"N","Asia/Calcutta" +3045,"Dhanbad","Dhanbad","India","DBD","VEDB",23.834044,86.425261,847,5.5,"N","Asia/Calcutta" +6800,"Delta County Airport","Escanaba","United States","ESC","KESC",45.722778,-87.093611,609,-5,"A","America/New_York" +6801,"Lauf-Lillinghof","Lillinghof","Germany","",\N,49.6543,11.6539,954,1,"E","Europe/Berlin" +3048,"Gaya","Gaya","India","GAY","VEGY",24.744308,84.951175,380,5.5,"N","Asia/Calcutta" +3049,"Hirakud","Hirakud","India","","VEHK",21.580231,84.005728,658,5.5,"N","Asia/Calcutta" +3050,"Imphal","Imphal","India","IMF","VEIM",24.75995,93.896697,2540,5.5,"N","Asia/Calcutta" +3051,"Jharsuguda","Jharsuguda","India","","VEJH",21.913536,84.050383,751,5.5,"N","Asia/Calcutta" +3052,"Jamshedpur","Jamshedpur","India","IXW","VEJS",22.813211,86.168844,505,5.5,"N","Asia/Calcutta" +3053,"Jorhat","Jorhat","India","JRH","VEJT",26.731528,94.175536,311,5.5,"N","Asia/Calcutta" +3054,"Kailashahar","Kailashahar","India","IXH","VEKR",24.308192,92.007156,79,5.5,"N","Asia/Calcutta" +3055,"Silchar","Silchar","India","IXS","VEKU",24.912928,92.978742,352,5.5,"N","Asia/Calcutta" +3056,"Lilabari","Lilabari","India","IXI","VELR",27.295494,94.09765,330,5.5,"N","Asia/Calcutta" +3057,"Dibrugarh","Mohanbari","India","MOH","VEMN",27.483853,95.016922,362,5.5,"N","Asia/Calcutta" +3058,"Muzaffarpur","Mazuffarpur","India","","VEMZ",26.119089,85.313664,174,5.5,"N","Asia/Calcutta" +3059,"Nawapara","Nawapara","India","","VENP",20.870036,82.519553,1058,5.5,"N","Asia/Calcutta" +3060,"Panagarh","Panagarh","India","","VEPH",23.474336,87.427508,240,5.5,"N","Asia/Calcutta" +3061,"Patna","Patina","India","PAT","VEPT",25.591317,85.087992,170,5.5,"N","Asia/Calcutta" +3062,"Purnea","Purnea","India","","VEPU",25.759594,87.410011,129,5.5,"N","Asia/Calcutta" +3063,"Birsa Munda","Ranchi","India","IXR","VERC",23.31425,85.321675,2148,5.5,"N","Asia/Calcutta" +3064,"Rourkela","Rourkela","India","RRK","VERK",22.25665,84.814567,659,5.5,"N","Asia/Calcutta" +3065,"Utkela","Utkela","India","","VEUK",20.097411,83.183797,680,5.5,"N","Asia/Calcutta" +3066,"Vishakhapatnam","Vishakhapatnam","India","VTZ","VEVZ",17.721167,83.224483,15,5.5,"N","Asia/Calcutta" +3067,"Zero","Zero","India","","VEZO",27.588283,93.828061,5403,5.5,"N","Asia/Calcutta" +3068,"Coxs Bazar","Cox's Bazar","Bangladesh","CXB","VGCB",21.452194,91.963889,12,6,"U","Asia/Dhaka" +3069,"Shah Amanat Intl","Chittagong","Bangladesh","CGP","VGEG",22.249611,91.813286,12,6,"U","Asia/Dhaka" +3070,"Ishurdi","Ishurdi","Bangladesh","IRD","VGIS",24.1525,89.049446,45,6,"U","Asia/Dhaka" +3071,"Jessore","Jessore","Bangladesh","JSR","VGJR",23.1838,89.160833,20,6,"U","Asia/Dhaka" +3072,"Shah Mokhdum","Rajshahi","Bangladesh","RJH","VGRJ",24.437219,88.616511,64,6,"U","Asia/Dhaka" +3073,"Saidpur","Saidpur","Bangladesh","SPD","VGSD",25.759228,88.908869,125,6,"U","Asia/Dhaka" +3074,"Osmany Intl","Sylhet Osmani","Bangladesh","ZYL","VGSY",24.963242,91.866783,50,6,"U","Asia/Dhaka" +3075,"Tejgaon","Dhaka","Bangladesh","","VGTJ",23.778783,90.382689,24,6,"U","Asia/Dhaka" +3076,"Zia Intl","Dhaka","Bangladesh","DAC","VGZR",23.843333,90.397781,30,6,"U","Asia/Dhaka" +3077,"Hong Kong Intl","Hong Kong","Hong Kong","HKG","VHHH",22.308919,113.914603,28,8,"U","Asia/Hong_Kong" +3078,"Sek Kong","Sek Kong","Hong Kong","","VHSK",22.436592,114.080397,50,8,"U","Asia/Hong_Kong" +3079,"Agra","Agra","India","AGR","VIAG",27.155831,77.960892,551,5.5,"N","Asia/Calcutta" +3080,"Allahabad","Allahabad","India","IXD","VIAL",25.440064,81.733872,322,5.5,"N","Asia/Calcutta" +3081,"Amritsar","Amritsar","India","ATQ","VIAR",31.709594,74.797264,756,5.5,"N","Asia/Calcutta" +3082,"Nal","Bikaner","India","","VIBK",28.070606,73.207161,750,5.5,"N","Asia/Calcutta" +3083,"Bakshi Ka Talab","Bakshi Ka Talab","India","","VIBL",26.988339,80.893117,385,5.5,"N","Asia/Calcutta" +3084,"Varanasi","Varanasi","India","VNS","VIBN",25.452358,82.859342,266,5.5,"N","Asia/Calcutta" +3085,"Kullu Manali","Kulu","India","KUU","VIBR",31.876706,77.154367,3573,5.5,"N","Asia/Calcutta" +3086,"Bhatinda","Bhatinda","India","","VIBT",30.270139,74.755772,662,5.5,"N","Asia/Calcutta" +3087,"Bhiwani","Bhiwani","India","","VIBW",28.837039,76.179094,720,5.5,"N","Asia/Calcutta" +3088,"Bareilly","Bareilly","India","","VIBY",28.422061,79.450842,580,5.5,"N","Asia/Calcutta" +3089,"Chandigarh","Chandigarh","India","IXC","VICG",30.673469,76.788542,1012,5.5,"N","Asia/Calcutta" +3090,"Kanpur Chakeri","Kanpur","India","","VICX",26.4043,80.410119,405,5.5,"N","Asia/Calcutta" +3091,"Safdarjung","Delhi","India","","VIDD",28.584511,77.205783,705,5.5,"N","Asia/Calcutta" +3092,"Dehradun","Dehra Dun","India","DED","VIDN",30.189689,78.180256,1831,5.5,"N","Asia/Calcutta" +3093,"Indira Gandhi Intl","Delhi","India","DEL","VIDP",28.5665,77.103088,777,5.5,"N","Asia/Calcutta" +3094,"Gwalior","Gwalior","India","GWL","VIGR",26.293336,78.227753,617,5.5,"N","Asia/Calcutta" +3095,"Hissar","Hissar","India","","VIHR",29.179444,75.755336,700,5.5,"N","Asia/Calcutta" +3096,"Jhansi","Jhansi","India","","VIJN",25.491172,78.558422,801,5.5,"N","Asia/Calcutta" +3097,"Jodhpur","Jodhpur","India","JDH","VIJO",26.251092,73.048869,717,5.5,"N","Asia/Calcutta" +3098,"Jaipur","Jaipur","India","JAI","VIJP",26.824192,75.812161,1263,5.5,"N","Asia/Calcutta" +3099,"Jaisalmer","Jaisalmer","India","JSA","VIJR",26.888653,70.864967,751,5.5,"N","Asia/Calcutta" +3100,"Jammu","Jammu","India","IXJ","VIJU",32.689142,74.837389,1029,5.5,"N","Asia/Calcutta" +3101,"Kanpur","Kanpur","India","KNU","VIKA",26.441444,80.364864,411,5.5,"N","Asia/Calcutta" +3102,"Kota","Kota","India","KTU","VIKO",25.160219,75.845631,896,5.5,"N","Asia/Calcutta" +3103,"Ludhiana","Ludhiaha","India","LUH","VILD",30.854681,75.952592,834,5.5,"N","Asia/Calcutta" +3104,"Leh","Leh","India","IXL","VILH",34.135872,77.546514,10682,5.5,"N","Asia/Calcutta" +3105,"Lucknow","Lucknow","India","LKO","VILK",26.760594,80.889339,410,5.5,"N","Asia/Calcutta" +3106,"Pathankot","Pathankot","India","IXP","VIPK",32.233778,75.634628,1017,5.5,"N","Asia/Calcutta" +3107,"Patiala","Patiala","India","","VIPL",30.314847,76.364469,820,5.5,"N","Asia/Calcutta" +3108,"Pantnagar","Nainital","India","PGH","VIPT",29.033408,79.473744,769,5.5,"N","Asia/Calcutta" +3109,"Fursatganj","Raibarelli","India","","VIRB",26.248489,81.380506,360,5.5,"N","Asia/Calcutta" +3111,"Sarsawa","Saharanpur","India","","VISP",29.993919,77.425311,891,5.5,"N","Asia/Calcutta" +3112,"Srinagar","Srinagar","India","SXR","VISR",33.987139,74.77425,5429,5.5,"N","Asia/Calcutta" +3113,"Satna","Satna","India","TNI","VIST",24.562319,80.854933,1060,5.5,"N","Asia/Calcutta" +6495,"Balkhash Airport","Balkhash","Kazakhstan","BXH",\N,46.8933,75.005,1446,6,"E","Asia/Qyzylorda" +3115,"Luang Phabang Intl","Luang Prabang","Laos","LPQ","VLLB",19.897914,102.160764,955,7,"U","Asia/Vientiane" +3116,"Pakse","Pakse","Laos","PKZ","VLPS",15.132053,105.781417,351,7,"U","Asia/Vientiane" +3117,"Phonesavanh","Phong Savanh","Laos","","VLPV",19.454864,103.218208,3628,7,"U","Asia/Vientiane" +3118,"Savannakhet","Savannakhet","Laos","ZVK","VLSK",16.556594,104.759531,509,7,"U","Asia/Vientiane" +3119,"Sam Neua","Sam Neua","Laos","","VLSN",20.418358,104.066583,3281,7,"U","Asia/Vientiane" +3120,"Wattay Intl","Vientiane","Laos","VTE","VLVT",17.988322,102.563256,564,7,"U","Asia/Vientiane" +3121,"Macau Intl","Macau","Macau","MFM","VMMC",22.149556,113.591558,20,8,"U","Asia/Macau" +3122,"Bhairahawa","Bhairawa","Nepal","BWA","VNBW",27.505703,83.41625,358,5.75,"N","Asia/Katmandu" +6831,"Nastaetten","Nastaetten","Germany","",\N,50.1972,7.8916,600,1,"E","Europe/Berlin" +3124,"Janakpur","Janakpur","Nepal","","VNJP",26.708806,85.922394,256,5.75,"N","Asia/Katmandu" +3125,"Tribhuvan Intl","Kathmandu","Nepal","KTM","VNKT",27.696583,85.3591,4390,5.75,"N","Asia/Katmandu" +3127,"Pokhara","Pokhara","Nepal","PKR","VNPK",28.200881,83.982056,2712,5.75,"N","Asia/Katmandu" +3128,"Simara","Simara","Nepal","SIF","VNSI",27.159456,84.980122,450,5.75,"N","Asia/Katmandu" +3129,"Biratnagar","Biratnagar","Nepal","BIR","VNVT",26.481453,87.264036,236,5.75,"N","Asia/Katmandu" +3130,"Agatti","Agatti Island","India","AGX","VOAT",10.823656,72.176042,14,5.5,"N","Asia/Calcutta" +3131,"Bangalore","Bangalore","India","BLR","VOBL",12.949986,77.668206,2912,5.5,"N","Asia/Calcutta" +3132,"Bellary","Bellary","India","BEP","VOBI",15.162783,76.882775,30,5.5,"N","Asia/Calcutta" +3133,"Bidar","Bidar","India","","VOBR",17.908081,77.487142,2178,5.5,"N","Asia/Calcutta" +3134,"Vijayawada","Vijayawada","India","VGA","VOBZ",16.530433,80.796847,82,5.5,"N","Asia/Calcutta" +3135,"Coimbatore","Coimbatore","India","CJB","VOCB",11.030031,77.043383,1324,5.5,"N","Asia/Calcutta" +3136,"Cochin","Kochi","India","COK","VOCI",10.155556,76.391389,8,5.5,"N","Asia/Calcutta" +3137,"Calicut","Calicut","India","CCJ","VOCL",11.136839,75.9553,342,5.5,"N","Asia/Calcutta" +3138,"Cuddapah","Cuddapah","India","CDP","VOCP",14.509961,78.772833,430,5.5,"N","Asia/Calcutta" +3139,"Carnicobar","Carnicobar","India","","VOCX",9.152508,92.819628,5,5.5,"N","Asia/Calcutta" +3140,"Dundigul","Dundigul","India","","VODG",17.627178,78.403361,2013,5.5,"N","Asia/Calcutta" +3141,"Hyderabad","Hyderabad","India","HYD","VOHY",17.453117,78.467586,1742,5.5,"N","Asia/Calcutta" +3142,"Madurai","Madurai","India","IXM","VOMD",9.834508,78.093378,459,5.5,"N","Asia/Calcutta" +3143,"Mangalore","Mangalore","India","IXE","VOML",12.961267,74.890069,337,5.5,"N","Asia/Calcutta" +3144,"Chennai Intl","Madras","India","MAA","VOMM",12.994414,80.180517,52,5.5,"N","Asia/Calcutta" +3145,"Nagarjuna Sagar","Nagarjunsagar","India","","VONS",16.542653,79.318714,658,5.5,"N","Asia/Calcutta" +3146,"Port Blair","Port Blair","India","IXZ","VOPB",11.641161,92.729744,14,5.5,"N","Asia/Calcutta" +3147,"Pondicherry","Pendicherry","India","PNY","VOPC",11.968722,79.810058,118,5.5,"N","Asia/Calcutta" +3148,"Rajahmundry","Rajahmundry","India","RJA","VORY",17.110361,81.818208,151,5.5,"N","Asia/Calcutta" +3149,"Salem","Salem","India","","VOSM",11.783314,78.065606,1008,5.5,"N","Asia/Calcutta" +3150,"Tanjore","Tanjore","India","","VOTJ",10.722428,79.101567,253,5.5,"N","Asia/Calcutta" +3151,"Tirupati","Tirupeti","India","TIR","VOTP",13.632492,79.543256,350,5.5,"N","Asia/Calcutta" +3152,"Trichy","Tiruchirappalli","India","TRZ","VOTR",10.765364,78.709722,288,5.5,"N","Asia/Calcutta" +3153,"Thiruvananthapuram Intl","Trivandrum","India","TRV","VOTV",8.482122,76.920114,15,5.5,"N","Asia/Calcutta" +3154,"Tambaram","Tambaram","India","","VOTX",12.907214,80.121861,90,5.5,"N","Asia/Calcutta" +3155,"Paro","Thimphu","Bhutan","PBH","VQPR",27.403192,89.424606,7332,6,"N","Asia/Thimphu" +3156,"Male Intl","Male","Maldives","MLE","VRMM",4.191833,73.529128,6,5,"U","Indian/Maldives" +3157,"Don Muang Intl","Bangkok","Thailand","DMK","VTBD",13.912583,100.60675,9,7,"U","Asia/Bangkok" +3158,"Kamphaeng Saen","Nakhon Pathom","Thailand","","VTBK",14.101975,99.917219,30,7,"U","Asia/Bangkok" +3159,"Khok Kathiam","Lop Buri","Thailand","","VTBL",14.874561,100.663367,123,7,"U","Asia/Bangkok" +3886,"Naha","Naha","Indonesia","NAH","WAMH",3.683214,125.528019,16,8,"N","Asia/Makassar" +3161,"U Taphao Intl","Pattaya","Thailand","UTP","VTBU",12.679944,101.005028,42,7,"U","Asia/Bangkok" +3162,"Watthana Nakhon","Prachin Buri","Thailand","","VTBW",13.7688,102.315492,200,7,"U","Asia/Bangkok" +3163,"Lampang","Lampang","Thailand","LPT","VTCL",18.270933,99.504167,811,7,"U","Asia/Bangkok" +3164,"Phrae","Phrae","Thailand","PRH","VTCP",18.132169,100.164664,538,7,"U","Asia/Bangkok" +3165,"Hua Hin","Prachuap Khiri Khan","Thailand","HHQ","VTPH",12.636225,99.951533,62,7,"U","Asia/Bangkok" +3166,"Takhli","Nakhon Sawan","Thailand","","VTPI",15.277306,100.295861,107,7,"U","Asia/Bangkok" +3167,"Sak Long","Phetchabun","Thailand","","VTPL",16.824322,101.251389,500,7,"U","Asia/Bangkok" +3169,"Nakhon Sawan","Nakhon Sawan","Thailand","","VTPN",15.672997,100.136794,113,7,"U","Asia/Bangkok" +3170,"Phitsanulok","Phitsanulok","Thailand","PHS","VTPP",16.782939,100.279122,154,7,"U","Asia/Bangkok" +3171,"Khunan Phumipol","Tak","Thailand","","VTPY",17.234211,99.057911,492,7,"U","Asia/Bangkok" +3172,"Khoun Khan","Satun","Thailand","","VTSA",6.661403,100.080317,18,7,"U","Asia/Bangkok" +3173,"Narathiwat","Narathiwat","Thailand","NAW","VTSC",6.519922,101.7434,16,7,"U","Asia/Bangkok" +3174,"Krabi","Krabi","Thailand","KBV","VTSG",8.095969,98.988764,93,7,"U","Asia/Bangkok" +3175,"Songkhla","Songkhla","Thailand","","VTSH",7.186564,100.608031,12,7,"U","Asia/Bangkok" +3176,"Pattani","Pattani","Thailand","PAN","VTSK",6.785458,101.153569,8,7,"U","Asia/Bangkok" +3177,"Samui","Ko Samui","Thailand","USM","VTSM",9.547794,100.062272,64,7,"U","Asia/Bangkok" +3178,"Cha Ian","Nakhon Si Thammarat","Thailand","","VTSN",8.471147,99.955625,44,7,"U","Asia/Bangkok" +3179,"Phuket Intl","Phuket","Thailand","HKT","VTSP",8.1132,98.316872,82,7,"U","Asia/Bangkok" +3180,"Ranong","Ranong","Thailand","","VTSR",9.777622,98.585483,57,7,"U","Asia/Bangkok" +3181,"Hat Yai Intl","Hat Yai","Thailand","HDY","VTSS",6.933206,100.392975,90,7,"U","Asia/Bangkok" +3182,"Trang","Trang","Thailand","TST","VTST",7.508744,99.616578,67,7,"U","Asia/Bangkok" +3183,"Udon Thani","Udon Thani","Thailand","UTH","VTUD",17.386436,102.788247,579,7,"U","Asia/Bangkok" +3184,"Sakon Nakhon","Sakon Nakhon","Thailand","SNO","VTUI",17.195142,104.118625,529,7,"U","Asia/Bangkok" +3185,"Surin","Surin","Thailand","","VTUJ",14.868264,103.498256,478,7,"U","Asia/Bangkok" +3186,"Loei","Loei","Thailand","LOE","VTUL",17.439133,101.722064,860,7,"U","Asia/Bangkok" +3187,"Khorat","Nakhon Ratchasima","Thailand","","VTUN",14.934514,102.078639,729,7,"U","Asia/Bangkok" +3188,"Rob Muang","Roi Et","Thailand","","VTUR",16.07035,103.6459,459,7,"U","Asia/Bangkok" +6830,"Finsterwalde-Heinrichsruh","Finsterwalde","Germany","","EDAS",51.6377,13.2419,384,1,"E","Europe/Berlin" +6829,"Orchid Beach","Fraser Island","Australia","OKB","KOKB",-24.95841,153.3145,6,10,"O","Australia/Brisbane" +6828,"Mara Lodges","Mara Lodges","Kenya","",\N,-1.183581,35.099931,5600,3,"U","Africa/Nairobi" +3196,"Danang Intl","Danang","Vietnam","DAD","VVDN",16.043917,108.19937,33,7,"U","Asia/Saigon" +3197,"Hanoi Gia Lam","Hanoi","Vietnam","","VVGL",21.040975,105.886011,50,7,"U","Asia/Saigon" +3198,"Kep","Kep","Vietnam","","VVKP",21.394639,106.261083,55,7,"U","Asia/Saigon" +3199,"Noibai Intl","Hanoi","Vietnam","HAN","VVNB",21.221192,105.807178,39,7,"U","Asia/Saigon" +3200,"Nhatrang","Nhatrang","Vietnam","NHA","VVNT",12.227467,109.192322,20,7,"U","Asia/Saigon" +3201,"Phubai","Hue","Vietnam","","VVPB",16.4015,107.702614,48,7,"U","Asia/Saigon" +6827,"Namanga","Namanga","Kenya","",\N,-2.55,36.7833333,4445,3,"U","Africa/Dar_es_Salaam" +3204,"Phu Quoc","Phuquoc","Vietnam","","VVPQ",10.227025,103.967169,23,7,"U","Asia/Saigon" +3205,"Tansonnhat Intl","Ho Chi Minh City","Vietnam","SGN","VVTS",10.818797,106.651856,33,7,"U","Asia/Saigon" +3207,"Ann","Ann","Burma","","VYAN",19.769156,94.026133,74,6.5,"U","Asia/Rangoon" +3208,"Anisakan","Anisakan","Burma","","VYAS",21.955433,96.40605,3000,6.5,"U","Asia/Rangoon" +3209,"Bagan","Bagan","Burma","","VYBG",21.178756,94.930169,312,6.5,"U","Asia/Rangoon" +6826,"Bamburi","Bamburi","Kenya","BMQ","KBMQ",-3.98268888888889,39.7308972222222,50,3,"U","Africa/Nairobi" +3211,"Coco Island","Coco Island","Burma","","VYCI",14.141517,93.368531,20,6,"U",\N +3213,"Heho","Heho","Burma","HEH","VYHH",20.747036,96.792044,3858,6.5,"U","Asia/Rangoon" +3214,"Hommalinn","Hommalin","Burma","","VYHL",24.899597,94.914033,534,6.5,"U","Asia/Rangoon" +3215,"Kengtung","Kengtung","Burma","KET","VYKG",21.301611,99.635997,2798,6.5,"U","Asia/Rangoon" +6825,"Williamson Country Regional Airport","Marion","United States","MWA","KMWA",37.7549569,-89.0110936,472,-6,"A","America/Chicago" +3217,"Kyaukpyu","Kyaukpyu","Burma","KYP","VYKP",19.426447,93.534836,20,6.5,"U","Asia/Rangoon" +6824,"Lommis Airport","Lommis","Switzerland","","LSZT",47.5244,9.00306,1539,1,"E","Europe/Zurich" +3220,"Lashio","Lashio","Burma","LSH","VYLS",22.977881,97.752183,2450,6.5,"U","Asia/Rangoon" +3221,"Lanywa","Lanywa","Burma","","VYLY",20.940361,94.822617,175,6.5,"U","Asia/Rangoon" +3222,"Mandalay Intl","Mandalay","Burma","MDL","VYMD",21.702156,95.977928,300,6.5,"U","Asia/Rangoon" +3223,"Myeik","Myeik","Burma","MGZ","VYME",12.439797,98.621478,75,6.5,"U","Asia/Rangoon" +3224,"Myitkyina","Myitkyina","Burma","MYT","VYMK",25.383636,97.351919,475,6.5,"U","Asia/Rangoon" +3226,"Momeik","Momeik","Burma","","VYMO",23.092525,96.645272,600,6.5,"U","Asia/Rangoon" +3227,"Mong Hsat","Mong Hsat","Burma","MOG","VYMS",20.516758,99.256825,1875,6.5,"U","Asia/Rangoon" +3228,"Nampong","Nampong","Burma","","VYNP",25.354375,97.29515,459,6.5,"U","Asia/Rangoon" +3229,"Namsang","Namsang","Burma","","VYNS",20.890492,97.735922,3100,6.5,"U","Asia/Rangoon" +3230,"Hpa An","Hpa-an","Burma","","VYPA",16.893714,97.674581,150,6.5,"U","Asia/Rangoon" +6823,"Amlikon Glider Airport","Amlikon","Switzerland","","LSPA",47.5742,9.0475,1371,1,"E","Europe/Zurich" +3232,"Putao","Putao","Burma","PBU","VYPT",27.329922,97.426269,1500,6.5,"U","Asia/Rangoon" +3233,"Pyay","Pyay","Burma","","VYPY",18.824478,95.266003,120,6.5,"U","Asia/Rangoon" +3234,"Shante","Shante","Burma","","VYST",20.941668,95.914497,630,6.5,"U","Asia/Rangoon" +3235,"Sittwe","Sittwe","Burma","AKY","VYSW",20.132708,92.872628,27,6.5,"U","Asia/Rangoon" +3236,"Thandwe","Thandwe","Burma","SNW","VYTD",18.460731,94.300119,20,6.5,"U","Asia/Rangoon" +3237,"Tachileik","Tachilek","Burma","THL","VYTL",20.483831,99.935353,1280,6.5,"U","Asia/Rangoon" +3238,"Taungoo","Taungoo","Burma","","VYTO",19.031275,96.401239,160,6.5,"U","Asia/Rangoon" +3239,"Yangon Intl","Yangon","Burma","RGN","VYYY",16.907305,96.133222,109,6.5,"U","Asia/Rangoon" +3240,"Hasanuddin","Ujung Pandang","Indonesia","UPG","WAAA",-5.061631,119.554042,47,8,"N","Asia/Makassar" +3241,"Frans Kaisiepo","Biak","Indonesia","BIK","WABB",-1.190017,136.107997,46,9,"N","Asia/Jayapura" +3242,"Nabire","Nabire","Indonesia","NBX","WABI",-3.368183,135.496406,20,9,"N","Asia/Jayapura" +3243,"Moses Kilangin","Timika","Indonesia","TIM","WABP",-4.528275,136.887375,103,9,"N","Asia/Jayapura" +3244,"Sentani","Jayapura","Indonesia","DJJ","WAJJ",-2.576953,140.516372,289,9,"N","Asia/Jayapura" +3245,"Wamena","Wamena","Indonesia","WMX","WAJW",-4.102511,138.957372,5085,9,"N","Asia/Jayapura" +3246,"Mopah","Merauke","Indonesia","MKQ","WAKK",-8.520294,140.418453,10,9,"N","Asia/Jayapura" +3247,"Jalaluddin","Gorontalo","Indonesia","GTO","WAMG",0.637119,122.849858,105,8,"N","Asia/Makassar" +3930,"Incheon Intl","Seoul","South Korea","ICN","RKSI",37.469075,126.450517,23,9,"U","Asia/Seoul" +3249,"Mutiara","Palu","Indonesia","PLW","WAML",-0.918542,119.909642,284,8,"N","Asia/Makassar" +3250,"Sam Ratulangi","Manado","Indonesia","MDC","WAMM",1.549447,124.925878,264,8,"N","Asia/Makassar" +3251,"Kasiguncu","Poso","Indonesia","PSJ","WAMP",-1.416753,120.657669,174,8,"N","Asia/Makassar" +3252,"Pitu","Morotai Island","Indonesia","OTI","WAMR",2.045992,128.324708,49,9,"N","Asia/Jayapura" +3253,"Sultan Babullah","Ternate","Indonesia","TTE","WAMT",0.831414,127.381486,49,9,"N","Asia/Jayapura" +3254,"Bubung","Luwuk","Indonesia","LUW","WAMW",-1.038919,122.771906,56,8,"N","Asia/Makassar" +6821,"Mukachevo Air Base","Mukacheve","Ukraine","",\N,48.4,22.6833,390,2,"E","Europe/Kiev" +3256,"Pattimura","Ambon","Indonesia","AMQ","WAPP",-3.710264,128.089136,33,9,"N","Asia/Jayapura" +3257,"Fak Fak","Fak Fak","Indonesia","FKQ","WASF",-2.920192,132.267031,462,9,"N","Asia/Jayapura" +3258,"Kaimana","Kaimana","Indonesia","KNG","WASK",-3.644517,133.695553,19,9,"N","Asia/Jayapura" +3259,"Babo","Babo","Indonesia","BXB","WASO",-2.532242,133.438894,10,9,"N","Asia/Jayapura" +3260,"Rendani","Manokwari","Indonesia","MKW","WASR",-0.891833,134.049183,23,9,"N","Asia/Jayapura" +3261,"Jefman","Sorong","Indonesia","SOQ","WASS",-0.926358,131.121194,10,9,"N","Asia/Jayapura" +3262,"Bintulu","Bintulu","Malaysia","BTU","WBGB",3.12385,113.020472,74,8,"N","Asia/Kuala_Lumpur" +3263,"Kuching Intl","Kuching","Malaysia","KCH","WBGG",1.484697,110.346933,89,8,"N","Asia/Kuala_Lumpur" +3264,"Limbang","Limbang","Malaysia","LMN","WBGJ",4.808303,115.010439,14,8,"N","Asia/Kuala_Lumpur" +3265,"Marudi","Marudi","Malaysia","MUR","WBGM",4.1775,114.321944,103,8,"N","Asia/Kuala_Lumpur" +3266,"Miri","Miri","Malaysia","MYY","WBGR",4.322014,113.986806,59,8,"N","Asia/Kuala_Lumpur" +3267,"Sibu","Sibu","Malaysia","SBW","WBGS",2.261603,111.985322,122,8,"N","Asia/Kuala_Lumpur" +3268,"Lahad Datu","Lahad Datu","Malaysia","LDU","WBKD",5.032247,118.324036,45,8,"N","Asia/Kuala_Lumpur" +3269,"Kota Kinabalu Intl","Kota Kinabalu","Malaysia","BKI","WBKK",5.937208,116.051181,10,8,"N","Asia/Kuala_Lumpur" +3270,"Labuan","Labuan","Malaysia","LBU","WBKL",5.300683,115.250181,101,8,"N","Asia/Kuala_Lumpur" +3271,"Tawau","Tawau","Malaysia","TWU","WBKW",4.313369,118.121953,57,8,"N","Asia/Kuala_Lumpur" +3272,"Brunei Intl","Bandar Seri Begawan","Brunei","BWN","WBSB",4.9442,114.928353,73,8,"U","Asia/Brunei" +3273,"Sultan Syarif Kasim Ii","Pekanbaru","Indonesia","PKU","WIBB",0.460786,101.444539,102,7,"N","Asia/Jakarta" +3274,"Pinang Kampai","Dumai","Indonesia","DUM","WIBD",1.609194,101.433558,55,7,"N","Asia/Jakarta" +3275,"Soekarno Hatta Intl","Jakarta","Indonesia","CGK","WIII",-6.125567,106.655897,34,7,"N","Asia/Jakarta" +3276,"Binaka","Gunung Sitoli","Indonesia","GNS","WIMB",1.166381,97.704681,20,7,"N","Asia/Jakarta" +3277,"Aek Godang","Padang Sidempuan","Indonesia","","WIME",1.400103,99.430453,922,7,"N","Asia/Jakarta" +3278,"Minangkabau","Padang","Indonesia","PDG","WIPT",-0.874989,100.351881,9,7,"N","Asia/Jakarta" +3279,"Polonia","Medan","Indonesia","MES","WIMM",3.558056,98.671722,114,7,"N","Asia/Jakarta" +3280,"Dr Ferdinand Lumban Tobing","Sibolga","Indonesia","","WIMS",1.555944,98.888908,43,7,"N","Asia/Jakarta" +3281,"Nanga Pinoh I","Nangapinoh","Indonesia","","WIOG",-0.348869,111.747606,123,7,"N","Asia/Jakarta" +3282,"Rahadi Usman","Ketapang","Indonesia","KTG","WIOK",-1.816639,109.963483,46,7,"N","Asia/Jakarta" +6820,"Mukachevo","Mukacheve","Ukraine","",\N,48.4,22.683,390,2,"E","Europe/Kiev" +3284,"Supadio","Pontianak","Indonesia","PNK","WIOO",-0.150711,109.403892,10,7,"N","Asia/Jakarta" +6819,"Borovaya Airfield","Minsk","Belarus","","UMMB",53.57,27.39,0,3,"E","Europe/Minsk" +6798,"Weser-Wuemme","Hellwege","Germany","","EDWM",53.054,9.208667,59,1,"E","Europe/Berlin" +3287,"Sultan Thaha","Jambi","Indonesia","DJB","WIPA",-1.638017,103.644378,82,7,"N","Asia/Jakarta" +3288,"Fatmawati Soekarno","Bengkulu","Indonesia","BKS","WIPL",-3.8637,102.339036,50,7,"N","Asia/Jakarta" +3289,"Sultan Mahmud Badaruddin Ii","Palembang","Indonesia","PLM","WIPP",-2.89825,104.699903,49,7,"N","Asia/Jakarta" +3291,"Japura","Rengat","Indonesia","RGT","WIPR",-0.352808,102.334917,62,7,"N","Asia/Jakarta" +3292,"Lhok Sukon","Lhok Sukon","Indonesia","","WITL",5.069506,97.259192,28,7,"N","Asia/Jakarta" +6818,"Balti International Airport","Strymba","Moldova","BZY",\N,47.8381,27.7815,758,2,"U","Europe/Chisinau" +3294,"Sultan Iskandarmuda","Banda Aceh","Indonesia","BTJ","WITT",5.523522,95.420372,65,7,"N","Asia/Jakarta" +3295,"Kluang","Kluang","Malaysia","","WMAP",2.041394,103.307394,150,8,"N","Asia/Kuala_Lumpur" +3296,"Sultan Abdul Halim","Alor Setar","Malaysia","AOR","WMKA",6.189667,100.398183,15,8,"N","Asia/Kuala_Lumpur" +3297,"Butterworth","Butterworth","Malaysia","","WMKB",5.465917,100.391167,11,8,"N","Asia/Kuala_Lumpur" +3298,"Sultan Ismail Petra","Kota Bahru","Malaysia","KBR","WMKC",6.16685,102.293014,16,8,"N","Asia/Kuala_Lumpur" +3299,"Kuantan","Kuantan","Malaysia","KUA","WMKD",3.775389,103.209056,58,8,"N","Asia/Kuala_Lumpur" +3300,"Kerteh","Kerteh","Malaysia","KTE","WMKE",4.537222,103.426756,18,8,"N","Asia/Kuala_Lumpur" +3301,"Simpang","Simpang","Malaysia","","WMKF",3.11225,101.70275,111,8,"N","Asia/Kuala_Lumpur" +3302,"Sultan Azlan Shah","Ipoh","Malaysia","IPH","WMKI",4.567972,101.092194,130,8,"N","Asia/Kuala_Lumpur" +3303,"Sultan Ismail","Johor Bahru","Malaysia","JHB","WMKJ",1.641308,103.669619,135,8,"N","Asia/Kuala_Lumpur" +3304,"Kuala Lumpur Intl","Kuala Lumpur","Malaysia","KUL","WMKK",2.745578,101.709917,69,8,"N","Asia/Kuala_Lumpur" +3305,"Langkawi Intl","Pulau","Malaysia","LGK","WMKL",6.329728,99.728667,29,8,"N","Asia/Kuala_Lumpur" +3306,"Malacca","Malacca","Malaysia","MKZ","WMKM",2.263361,102.251553,35,8,"N","Asia/Kuala_Lumpur" +3307,"Sultan Mahmud","Kuala Terengganu","Malaysia","TGG","WMKN",5.382639,103.10336,21,8,"N","Asia/Kuala_Lumpur" +3308,"Penang Intl","Penang","Malaysia","PEN","WMKP",5.297139,100.276864,11,8,"N","Asia/Kuala_Lumpur" +3309,"Suai","Suai","East Timor","","WPDB",-9.303306,125.286753,96,9,"U","Asia/Dili" +3310,"Presidente Nicolau Lobato Intl","Dili","East Timor","DIL","WPDL",-8.546553,125.524719,25,9,"U","Asia/Dili" +3311,"Cakung","Baucau","East Timor","","WPEC",-8.485547,126.399389,1777,9,"U","Asia/Dili" +3312,"Sembawang","Sembawang","Singapore","","WSAG",1.425264,103.812806,86,8,"N","Asia/Singapore" +3313,"Paya Lebar","Paya Lebar","Singapore","QPG","WSAP",1.360417,103.90953,65,8,"N","Asia/Singapore" +3314,"Tengah","Tengah","Singapore","","WSAT",1.387258,103.708719,50,8,"N","Asia/Singapore" +3315,"Seletar","Singapore","Singapore","XSP","WSSL",1.41695,103.867653,36,8,"N","Asia/Singapore" +3316,"Changi Intl","Singapore","Singapore","SIN","WSSS",1.350189,103.994433,22,8,"N","Asia/Singapore" +3317,"Brisbane Archerfield","Brisbane","Australia","","YBAF",-27.570278,153.008056,63,10,"O","Australia/Brisbane" +3318,"Bamaga Injinoo","Amberley","Australia","ABM","YBAM",-10.950833,142.459444,34,10,"O","Australia/Brisbane" +3319,"Alice Springs","Alice Springs","Australia","ASP","YBAS",-23.806667,133.902222,1789,9.5,"N","Australia/Darwin" +3320,"Brisbane Intl","Brisbane","Australia","BNE","YBBN",-27.384167,153.1175,13,10,"N","Australia/Brisbane" +3321,"Gold Coast","Coolangatta","Australia","OOL","YBCG",-28.164444,153.504722,21,10,"N","Australia/Brisbane" +3322,"Cairns Intl","Cairns","Australia","CNS","YBCS",-16.885833,145.755278,10,10,"N","Australia/Brisbane" +3323,"Charleville","Charlieville","Australia","CTL","YBCV",-26.413334,146.2625,1003,10,"O","Australia/Brisbane" +3324,"Mount Isa","Mount Isa","Australia","ISA","YBMA",-20.663889,139.488611,1121,10,"O","Australia/Brisbane" +3325,"Sunshine Coast","Maroochydore","Australia","MCY","YBMC",-26.603333,153.091111,15,10,"O","Australia/Brisbane" +3326,"Mackay","Mackay","Australia","MKY","YBMK",-21.171667,149.179722,19,10,"O","Australia/Brisbane" +3328,"Proserpine Whitsunday Coast","Prosserpine","Australia","PPP","YBPN",-20.495,148.552222,82,10,"O","Australia/Brisbane" +3329,"Rockhampton","Rockhampton","Australia","ROK","YBRK",-23.381944,150.475278,34,10,"O","Australia/Brisbane" +3330,"Townsville","Townsville","Australia","TSV","YBTL",-19.2525,146.765278,18,10,"N","Australia/Brisbane" +3331,"Weipa","Weipa","Australia","WEI","YBWP",-12.678611,141.925278,63,10,"O","Australia/Brisbane" +3332,"Avalon","Avalon","Australia","AVV","YMAV",-38.039444,144.469444,35,10,"O","Australia/Hobart" +3333,"Albury","Albury","Australia","ABX","YMAY",-36.067778,146.958056,539,10,"O","Australia/Sydney" +3334,"Melbourne Essendon","Melbourne","Australia","MEB","YMEN",-37.728056,144.901944,282,10,"O","Australia/Hobart" +3335,"East Sale","East Sale","Australia","","YMES",-38.098889,147.149444,23,10,"O","Australia/Hobart" +3336,"Hobart","Hobart","Australia","HBA","YMHB",-42.836111,147.510278,13,10,"O","Australia/Melbourne" +3337,"Launceston","Launceston","Australia","LST","YMLT",-41.545278,147.214167,562,10,"O","Australia/Melbourne" +3338,"Melbourne Moorabbin","Melbourne","Australia","MBW","YMMB",-37.975833,145.102222,50,10,"O","Australia/Hobart" +3339,"Melbourne Intl","Melbourne","Australia","MEL","YMML",-37.673333,144.843333,434,10,"O","Australia/Hobart" +3340,"Point Cook","Point Cook","Australia","","YMPC",-37.932222,144.753333,14,10,"O","Australia/Hobart" +3341,"Adelaide Intl","Adelaide","Australia","ADL","YPAD",-34.945,138.530556,20,9.5,"O","Australia/Adelaide" +3343,"Edinburgh","Edinburgh","Australia","","YPED",-34.7025,138.620833,67,9.5,"O","Australia/Adelaide" +3344,"Perth Jandakot","Perth","Australia","JAD","YPJT",-32.0975,115.881111,99,8,"O","Australia/Perth" +3345,"Karratha","Karratha","Australia","KTA","YPKA",-20.712222,116.773333,29,8,"O","Australia/Perth" +3346,"Kalgoorlie Boulder","Kalgoorlie","Australia","KGI","YPKG",-30.789444,121.461667,1203,8,"O","Australia/Perth" +3347,"Kununurra","Kununurra","Australia","KNX","YPKU",-15.778056,128.7075,145,8,"O","Australia/Perth" +3348,"Learmonth","Learmonth","Australia","LEA","YPLM",-22.235556,114.088611,19,8,"O","Australia/Perth" +3349,"Port Hedland Intl","Port Hedland","Australia","PHE","YPPD",-20.377778,118.626389,33,8,"O","Australia/Perth" +3350,"Adelaide Parafield","Adelaide","Australia","","YPPF",-34.793333,138.633056,57,9.5,"O","Australia/Adelaide" +3351,"Perth Intl","Perth","Australia","PER","YPPH",-31.940278,115.966944,67,8,"N","Australia/Perth" +3352,"Woomera","Woomera","Australia","UMR","YPWR",-31.144167,136.816944,548,9.5,"O","Australia/Adelaide" +3353,"Christmas Island","Christmas Island","Christmas Island","XCH","YPXM",-10.450556,105.690278,916,7,"U","Indian/Christmas" +3354,"Sydney Bankstown","Sydney","Australia","BWU","YSBK",-33.924444,150.988333,29,10,"O","Australia/Sydney" +3355,"Canberra","Canberra","Australia","CBR","YSCB",-35.306944,149.195,1886,10,"O","Australia/Sydney" +3356,"Coffs Harbour","Coff's Harbour","Australia","CFS","YSCH",-30.320556,153.116389,18,10,"O","Australia/Sydney" +3357,"Camden","Camden","Australia","CDU","YSCN",-34.040278,150.687222,230,10,"O","Australia/Sydney" +3358,"Dubbo","Dubbo","Australia","DBO","YSDU",-32.216667,148.574722,935,10,"O","Australia/Sydney" +3359,"Norfolk Island Intl","Norfolk Island","Norfolk Island","NLK","YSNF",-29.041625,167.938742,371,11.5,"U","Pacific/Norfolk" +3360,"Richmond","Richmond","Australia","RCM","YSRI",-33.600556,150.780833,67,10,"O","Australia/Sydney" +3361,"Sydney Intl","Sydney","Australia","SYD","YSSY",-33.946111,151.177222,21,10,"O","Australia/Sydney" +3362,"Tamworth","Tamworth","Australia","TMW","YSTW",-31.083889,150.846667,1334,10,"O","Australia/Sydney" +3363,"Wagga Wagga","Wagga Wagga","Australia","WGA","YSWG",-35.165278,147.466389,724,10,"O","Australia/Sydney" +3364,"Capital Intl","Beijing","China","PEK","ZBAA",40.080111,116.584556,116,8,"U","Asia/Chongqing" +6817,"Hongyuan Airfield","Hongyuan","China","",\N,32.800428,102.534785,11500,8,"N","Asia/Chongqing" +3366,"Dongshan","Hailar","China","HLD","ZBLA",49.204997,119.825,2169,8,"U","Asia/Chongqing" +3368,"Binhai","Tianjin","China","TSN","ZBTJ",39.124353,117.346183,10,8,"U","Asia/Chongqing" +3369,"Wusu","Taiyuan","China","TYN","ZBYN",37.746897,112.628428,2575,8,"U","Asia/Chongqing" +3370,"Baiyun Intl","Guangzhou","China","CAN","ZGGG",23.392436,113.298786,50,8,"U","Asia/Chongqing" +3371,"Huanghua","Changcha","China","CSX","ZGHA",28.189158,113.219633,217,8,"U","Asia/Chongqing" +3372,"Liangjiang","Guilin","China","KWL","ZGKL",25.218106,110.039197,570,8,"U","Asia/Chongqing" +3373,"Wuxu","Nanning","China","NNG","ZGNN",22.608267,108.172442,421,8,"U","Asia/Chongqing" +3374,"Baoan Intl","Shenzhen","China","SZX","ZGSZ",22.639258,113.810664,13,8,"U","Asia/Chongqing" +3375,"Xinzheng","Zhengzhou","China","CGO","ZHCC",34.519672,113.840889,495,8,"U","Asia/Chongqing" +3376,"Tianhe","Wuhan","China","WUH","ZHHH",30.783758,114.2081,113,8,"U","Asia/Chongqing" +3377,"Pyongyang Intl","Pyongyang","Korea","FNJ","ZKPY",39.224061,125.67015,117,9,"U","Asia/Pyongyang" +3378,"Zhongchuan","Lanzhou","China","ZGC","ZLLL",36.515242,103.620775,6388,8,"U","Asia/Chongqing" +3379,"Xianyang","Xi'an","China","XIY","ZLXY",34.447119,108.751592,1572,8,"U","Asia/Chongqing" +3380,"Chinggis Khaan Intl","Ulan Bator","Mongolia","ULN","ZMUB",47.843056,106.766639,4364,8,"U","Asia/Ulaanbaatar" +3381,"Gasa","Jinghonggasa","China","","ZPJH",21.973914,100.759611,1815,8,"U","Asia/Chongqing" +3382,"Wujiaba","Kunming","China","KMG","ZPPP",24.992364,102.743536,6217,8,"U","Asia/Chongqing" +3383,"Gaoqi","Xiamen","China","XMN","ZSAM",24.544036,118.127739,59,8,"U","Asia/Chongqing" +3384,"Changbei Intl","Nanchang","China","KHN","ZSCN",28.865,115.9,143,8,"U","Asia/Chongqing" +3385,"Changle","Fuzhou","China","FOC","ZSFZ",25.935064,119.663272,46,8,"U","Asia/Chongqing" +3386,"Xiaoshan","Hangzhou","China","HGH","ZSHC",30.229503,120.434453,23,8,"U","Asia/Chongqing" +3387,"Lishe","Ninbo","China","NGB","ZSNB",29.826683,121.461906,13,8,"U","Asia/Chongqing" +3388,"Lukou","Nanjing","China","NKG","ZSNJ",31.742042,118.862025,49,8,"U","Asia/Chongqing" +3389,"Luogang","Hefei","China","HFE","ZSOF",31.780019,117.298436,108,8,"U","Asia/Chongqing" +3390,"Liuting","Qingdao","China","TAO","ZSQD",36.266108,120.374436,33,8,"U","Asia/Chongqing" +3391,"Hongqiao Intl","Shanghai","China","SHA","ZSSS",31.197875,121.336319,10,8,"U","Asia/Chongqing" +3392,"Laishan","Yantai","China","YNT","ZSYT",37.401667,121.371667,59,8,"U","Asia/Chongqing" +3393,"Jiangbei","Chongqing","China","CKG","ZUCK",29.719217,106.641678,1365,8,"U","Asia/Chongqing" +3394,"Longdongbao","Guiyang","China","KWE","ZUGY",26.538522,106.800703,3736,8,"U","Asia/Chongqing" +3395,"Shuangliu","Chengdu","China","CTU","ZUUU",30.578528,103.947086,1625,8,"U","Asia/Chongqing" +3396,"Qingshan","Xichang","China","XIC","ZUXC",27.989083,102.184361,5112,8,"U","Asia/Chongqing" +3397,"Kashi","Kashi","China","KHG","ZWSH",39.542922,76.019956,4529,8,"U","Asia/Chongqing" +3398,"Hotan","Hotan","China","HTN","ZWTN",37.038522,79.864933,4672,8,"U","Asia/Chongqing" +3399,"Diwopu","Urumqi","China","URC","ZWWW",43.907106,87.474244,2125,8,"U","Asia/Chongqing" +3400,"Taiping","Harbin","China","HRB","ZYHB",45.623403,126.250328,457,8,"U","Asia/Chongqing" +6797,"Hohenems","Hohenems","Austria","HOJ","LOIH",47.385,9.7,412,1,"E","Europe/Vienna" +3402,"Hailang","Mudanjiang","China","","ZYMD",44.524072,129.568972,883,8,"U","Asia/Chongqing" +3404,"Zhoushuizi","Dalian","China","DLC","ZYTL",38.965667,121.5386,107,8,"U","Asia/Chongqing" +3406,"Pudong","Shanghai","China","PVG","ZSPD",31.143378,121.805214,13,8,"U","Asia/Chongqing" +3407,"Pulau Tioman","Tioman","Malaysia","TOD","WMBT",2.818183,104.160019,15,8,"N","Asia/Kuala_Lumpur" +3408,"Subang-Sultan Abdul Aziz Shah Intl","Kuala Lumpur","Malaysia","SZB","WMSA",3.130583,101.549333,90,8,"N","Asia/Kuala_Lumpur" +3409,"Noto","Wajima","Japan","NTQ","RJNW",37.293097,136.961853,718,9,"U","Asia/Tokyo" +3410,"Borg El Arab Intl","Alexandria","Egypt","HBE","HEBA",30.917669,29.696408,177,2,"U","Africa/Cairo" +3411,"Barter Island Lrrs","Barter Island","United States","BTI","PABA",70.133989,-143.581867,2,-9,"A","America/Anchorage" +3412,"Wainwright As","Fort Wainwright","United States","K03","PAWT",70.613378,-159.86035,35,-9,"A","America/Anchorage" +3413,"Cape Lisburne Lrrs","Cape Lisburne","United States","LUR","PALU",68.875133,-166.110022,12,-9,"A","America/Anchorage" +3414,"Point Lay Lrrs","Point Lay","United States","PIZ","PPIZ",69.732875,-163.005342,25,-9,"A","America/Anchorage" +3415,"Hilo Intl","Hilo","United States","ITO","PHTO",19.721375,-155.048469,38,-10,"N","Pacific/Honolulu" +3416,"Executive","Orlando","United States","ORL","KORL",28.545464,-81.332936,113,-5,"A","America/New_York" +3417,"Bettles","Bettles","United States","BTT","PABT",66.913944,-151.529056,644,-9,"A","America/Anchorage" +3418,"Clear","Clear Mews","United States","Z84","PACL",64.301203,-149.120144,552,-9,"A","America/Anchorage" +3419,"Indian Mountain Lrrs","Indian Mountains","United States","UTO","PAIM",65.992794,-153.704289,1220,-9,"A","America/Anchorage" +3420,"Fort Yukon","Fort Yukon","United States","FYU","PFYU",66.571492,-145.250417,433,-9,"A","America/Anchorage" +3421,"Sparrevohn Lrrs","Sparrevohn","United States","SVW","PASV",61.097369,-155.574228,1583,-9,"A","America/Anchorage" +3422,"Bryant Ahp","Fort Richardson","United States","FRN","PAFR",61.266381,-149.653119,378,-9,"A","America/Anchorage" +3423,"Tatalina Lrrs","Tatalina","United States","TLJ","PATL",62.894369,-155.976525,964,-9,"A","America/Anchorage" +3424,"Cape Romanzof Lrrs","Cape Romanzof","United States","CZF","PACZ",61.780297,-166.038747,457,-9,"A","America/Anchorage" +3425,"Laurence G Hanscom Fld","Bedford","United States","BED","KBED",42.469953,-71.289031,133,-5,"A","America/New_York" +3426,"St Paul Island","St. Paul Island","United States","SNP","PASN",57.167333,-170.220444,63,-9,"A","America/Anchorage" +3427,"Cape Newenham Lrrs","Cape Newenham","United States","EHM","PAEH",58.646428,-162.062778,541,-9,"A","America/Anchorage" +3428,"St George","Point Barrow","United States","PBV","PAPB",56.578344,-169.661611,125,-9,"A","America/Anchorage" +3429,"Iliamna","Iliamna","United States","ILI","PAIL",59.754356,-154.910961,186,-9,"A","America/Anchorage" +3430,"Platinum","Port Moller","United States","PTU","PAPM",59.011356,-161.819664,15,-9,"A","America/Anchorage" +3431,"Big Mountain Afs","Big Mountain","United States","BMX","PABM",59.361247,-155.258822,663,-9,"A","America/Anchorage" +3432,"Oscoda Wurtsmith","Oscoda","United States","OSC","KOSC",44.451558,-83.394053,634,-5,"A","America/New_York" +3433,"Marina Muni","Fort Ord","United States","OAR","KOAR",36.681878,-121.762347,134,-8,"A","America/Los_Angeles" +3434,"Sacramento Mather","Sacramento","United States","MHR","KMHR",38.553897,-121.297592,96,-8,"A","America/Los_Angeles" +3435,"Bicycle Lake Aaf","Fort Irwin","United States","BYS","KBYS",35.280531,-116.630031,2350,-8,"A","America/Los_Angeles" +3436,"Twentynine Palms Eaf","Twenty Nine Palms","United States","NXP","KNXP",34.296161,-116.162203,2051,-8,"A","America/Los_Angeles" +3437,"Fort Smith Rgnl","Fort Smith","United States","FSM","KFSM",35.336583,-94.367444,469,-6,"A","America/Chicago" +3438,"Merrill Fld","Anchorage","United States","MRI","PAMR",61.213544,-149.844447,137,-9,"A","America/Anchorage" +3439,"Grants Milan Muni","Grants","United States","GNT","KGNT",35.167286,-107.901989,6537,-7,"A","America/Denver" +3440,"Ponca City Rgnl","Ponca City","United States","PNC","KPNC",36.731958,-97.099781,1007,-6,"A","America/Chicago" +3441,"Hunter Aaf","Hunter Aaf","United States","SVN","KSVN",32.01,-81.145683,42,-5,"A","America/New_York" +3442,"Grand Forks Intl","Grand Forks","United States","GFK","KGFK",47.949256,-97.176111,845,-6,"A","America/Chicago" +3443,"Grider Fld","Pine Bluff","United States","PBF","KPBF",34.173142,-91.935597,206,-6,"A","America/Chicago" +3444,"Whiting Fld Nas North","Milton","United States","NSE","KNSE",30.724167,-87.021944,199,-6,"A","America/Chicago" +3445,"Hana","Hana","United States","HNM","PHHN",20.795636,-156.014439,78,-10,"A","Pacific/Honolulu" +3446,"Ernest A Love Fld","Prescott","United States","PRC","KPRC",34.654472,-112.419583,5045,-7,"A","America/Phoenix" +3447,"Trenton Mercer","Trenton","United States","TTN","KTTN",40.276692,-74.813469,213,-5,"A","America/New_York" +3448,"General Edward Lawrence Logan Intl","Boston","United States","BOS","KBOS",42.364347,-71.005181,19,-5,"A","America/New_York" +3449,"Travis Afb","Fairfield","United States","SUU","KSUU",38.262692,-121.927464,62,-8,"A","America/Los_Angeles" +3450,"Griffiss Afld","Rome","United States","RME","KRME",43.2338,-75.407033,504,-5,"A","America/New_York" +3451,"Wendover","Wendover","United States","ENV","KENV",40.718694,-114.030889,4237,-7,"A","America/Denver" +3452,"Mobile Downtown","Mobile","United States","BFM","KBFM",30.626783,-88.068092,26,-6,"A","America/Chicago" +3453,"Metropolitan Oakland Intl","Oakland","United States","OAK","KOAK",37.721278,-122.220722,9,-8,"A","America/Los_Angeles" +3454,"Eppley Afld","Omaha","United States","OMA","KOMA",41.303167,-95.894069,984,-6,"A","America/Chicago" +3455,"Port Angeles Cgas","Port Angeles","United States","NOW","KNOW",48.141481,-123.414075,13,-8,"A","America/Los_Angeles" +3456,"Kahului","Kahului","United States","OGG","PHOG",20.89865,-156.430458,54,-10,"N","Pacific/Honolulu" +3457,"Wichita Mid Continent","Wichita","United States","ICT","KICT",37.649944,-97.433056,1333,-6,"A","America/Chicago" +3458,"Kansas City Intl","Kansas City","United States","MCI","KMCI",39.297606,-94.713905,1026,-6,"A","America/Chicago" +3459,"Dane Co Rgnl Truax Fld","Madison","United States","MSN","KMSN",43.139858,-89.337514,887,-6,"A","America/Chicago" +3460,"Dillingham","Dillingham","United States","DLG","PADL",59.044667,-158.5055,74,-9,"A","America/Anchorage" +3461,"Boone Co","Harrison","United States","HRO","KHRO",36.261519,-93.154728,1365,-6,"A","America/Chicago" +3462,"Phoenix Sky Harbor Intl","Phoenix","United States","PHX","KPHX",33.434278,-112.011583,1135,-7,"N","America/Phoenix" +3463,"Bangor Intl","Bangor","United States","BGR","KBGR",44.807444,-68.828139,192,-5,"A","America/New_York" +3464,"Fort Lauderdale Executive","Fort Lauderdale","United States","FXE","KFXE",26.197281,-80.170706,13,-5,"A","America/New_York" +3465,"East Texas Rgnl","Longview","United States","GGG","KGGG",32.384014,-94.711486,365,-6,"A","America/Chicago" +3466,"Anderson Rgnl","Andersen","United States","AND","KAND",34.494583,-82.709389,782,-5,"A","America/New_York" +3467,"Spokane Intl","Spokane","United States","GEG","KGEG",47.619861,-117.533833,2376,-8,"A","America/Los_Angeles" +3468,"North Perry","Hollywood","United States","HWO","KHWO",26.001222,-80.240722,8,-5,"A","America/New_York" +3469,"San Francisco Intl","San Francisco","United States","SFO","KSFO",37.618972,-122.374889,13,-8,"A","America/Los_Angeles" +3470,"Cut Bank Muni","Cutbank","United States","CTB","KCTB",48.608353,-112.376144,3854,-7,"A","America/Denver" +3471,"Acadiana Rgnl","Louisiana","United States","ARA","KARA",30.037758,-91.883896,24,-6,"A","America/Chicago" +3472,"Gainesville Rgnl","Gainesville","United States","GNV","KGNV",29.690056,-82.271778,152,-5,"A","America/New_York" +3473,"Memphis Intl","Memphis","United States","MEM","KMEM",35.042417,-89.976667,341,-6,"A","America/Chicago" +3474,"Bisbee Douglas Intl","Douglas","United States","DUG","KDUG",31.469028,-109.603667,4154,-7,"A","America/Phoenix" +3475,"Allen Aaf","Delta Junction","United States","BIG","PABI",63.994547,-145.721642,1291,-9,"A","America/Anchorage" +3476,"Tstc Waco","Waco","United States","CNW","KCNW",31.637831,-97.074139,470,-6,"A","America/Chicago" +3477,"Annette Island","Annette Island","United States","ANN","PANT",55.042436,-131.572233,119,-9,"A","America/Anchorage" +3478,"Caribou Muni","Caribou","United States","CAR","KCAR",46.8715,-68.017917,626,-5,"A","America/New_York" +3479,"Little Rock Afb","Jacksonville","United States","LRF","KLRF",34.916944,-92.149722,311,-6,"A","America/Chicago" +3480,"Redstone Aaf","Redstone","United States","HUA","KHUA",34.678653,-86.684781,685,-6,"A","America/Chicago" +3481,"Pope Field","Fort Bragg","United States","POB","KPOB",35.170883,-79.014472,217,-5,"A","America/New_York" +3482,"Dalhart Muni","Dalhart","United States","DHT","KDHT",36.022586,-102.547278,3991,-6,"A","America/Chicago" +3483,"Laughlin Afb","Del Rio","United States","DLF","KDLF",29.359486,-100.777975,1082,-6,"A","America/Chicago" +3484,"Los Angeles Intl","Los Angeles","United States","LAX","KLAX",33.942536,-118.408075,126,-8,"A","America/Los_Angeles" +3485,"Anniston Metro","Anniston","United States","ANB","KANB",33.588167,-85.858111,612,-6,"A","America/Chicago" +3486,"Cleveland Hopkins Intl","Cleveland","United States","CLE","KCLE",41.411689,-81.849794,791,-5,"A","America/New_York" +3487,"Dover Afb","Dover","United States","DOV","KDOV",39.129539,-75.465958,28,-5,"A","America/New_York" +3488,"Cincinnati Northern Kentucky Intl","Cincinnati","United States","CVG","KCVG",39.048836,-84.667822,896,-5,"A","America/New_York" +3489,"Tipton","Fort Meade","United States","FME","KFME",39.085386,-76.759414,150,-5,"A","America/New_York" +3490,"China Lake Naws","China","United States","NID","KNID",35.685422,-117.692039,2283,-8,"A","America/Los_Angeles" +3491,"Huron Rgnl","Huron","United States","HON","KHON",44.3852,-98.228542,1289,-6,"A","America/Chicago" +3492,"Juneau Intl","Juneau","United States","JNU","PAJN",58.354972,-134.576278,21,-9,"A","America/Anchorage" +3493,"Lafayette Rgnl","Lafayette","United States","LFT","KLFT",30.205278,-91.987611,43,-6,"A","America/Chicago" +3494,"Newark Liberty Intl","Newark","United States","EWR","KEWR",40.6925,-74.168667,18,-5,"A","America/New_York" +3495,"Boise Air Terminal","Boise","United States","BOI","KBOI",43.564361,-116.222861,2871,-7,"A","America/Denver" +3496,"Creech Afb","Indian Springs","United States","INS","KINS",36.587183,-115.673353,3133,-8,"A","America/Los_Angeles" +3497,"Garden City Rgnl","Garden City","United States","GCK","KGCK",37.927528,-100.724417,2891,-6,"A","America/Chicago" +3498,"Minot Intl","Minot","United States","MOT","KMOT",48.259378,-101.280333,1716,-6,"A","America/Chicago" +3499,"Wheeler Aaf","Wahiawa","United States","HHI","PHHI",21.4835,-158.039667,837,-10,"A","Pacific/Honolulu" +3500,"Maxwell Afb","Montgomery","United States","MXF","KMXF",32.382944,-86.365778,171,-6,"A","America/Chicago" +3501,"Robinson Aaf","Robinson","United States","RBM","KRBM",34.850089,-92.300153,587,-6,"A","America/Chicago" +3502,"Dallas Love Fld","Dallas","United States","DAL","KDAL",32.847111,-96.851778,487,-6,"A","America/Chicago" +3503,"Butts Aaf","Fort Carson","United States","FCS","KFCS",38.678394,-104.756581,5838,-7,"A","America/Denver" +3504,"Helena Rgnl","Helena","United States","HLN","KHLN",46.606806,-111.98275,3877,-7,"A","America/Denver" +3505,"Miramar Mcas","Miramar","United States","NKX","KNKX",32.867694,-117.14175,478,-8,"A","America/Los_Angeles" +3506,"Luke Afb","Phoenix","United States","LUF","KLUF",33.535,-112.38306,1085,-7,"A","America/Phoenix" +3507,"Hurlburt Fld","Mary Esther","United States","HRT","KHRT",30.427803,-86.689278,38,-6,"A","America/Chicago" +3508,"Jack Northrop Fld Hawthorne Muni","Hawthorne","United States","HHR","KHHR",33.922839,-118.335186,66,-8,"A","America/Los_Angeles" +3509,"Houlton Intl","Houlton","United States","HUL","KHUL",46.123083,-67.792056,489,-5,"A","America/New_York" +3510,"Vance Afb","Enid","United States","END","KEND",36.339167,-97.9165,1307,-6,"A","America/Chicago" +3511,"Point Mugu Nas","Point Mugu","United States","NTD","KNTD",34.120285,-119.12094,13,-8,"A","America/Los_Angeles" +3512,"Edwards Afb","Edwards Afb","United States","EDW","KEDW",34.905417,-117.883739,2302,-8,"A","America/Los_Angeles" +3513,"Lake Charles Rgnl","Lake Charles","United States","LCH","KLCH",30.126112,-93.223335,15,-6,"A","America/Chicago" +3514,"Kona Intl At Keahole","Kona","United States","KOA","PHKO",19.738767,-156.045631,47,-10,"N","Pacific/Honolulu" +3515,"Myrtle Beach Intl","Myrtle Beach","United States","MYR","KMYR",33.67975,-78.928333,25,-5,"A","America/New_York" +3516,"Lemoore Nas","Lemoore","United States","NLC","KNLC",36.333012,-119.95208,234,-8,"A","America/Los_Angeles" +3517,"Nantucket Mem","Nantucket","United States","ACK","KACK",41.253053,-70.060181,48,-5,"A","America/New_York" +3518,"Felker Aaf","Fort Eustis","United States","FAF","KFAF",37.1325,-76.608841,12,-5,"A","America/New_York" +3519,"Campbell Aaf","Hopkinsville","United States","HOP","KHOP",36.668567,-87.496183,573,-6,"A","America/Chicago" +3520,"Ronald Reagan Washington Natl","Washington","United States","DCA","KDCA",38.852083,-77.037722,15,-5,"A","America/New_York" +3521,"Patuxent River Nas","Patuxent River","United States","NHK","KNHK",38.285981,-76.411781,39,-5,"A","America/New_York" +3522,"Palacios Muni","Palacios","United States","PSX","KPSX",28.727508,-96.250958,14,-6,"A","America/Chicago" +3523,"Arkansas Intl","Blytheville","United States","BYH","KBYH",35.964347,-89.943956,254,-6,"A","America/Chicago" +3524,"Atlantic City Intl","Atlantic City","United States","ACY","KACY",39.457583,-74.577167,75,-5,"A","America/New_York" +3525,"Tinker Afb","Oklahoma City","United States","TIK","KTIK",35.414739,-97.386633,1291,-6,"A","America/Chicago" +3526,"Elizabeth City Cgas Rgnl","Elizabeth City","United States","ECG","KECG",36.260581,-76.174572,12,-5,"A","America/New_York" +3527,"Pueblo Memorial","Pueblo","United States","PUB","KPUB",38.289085,-104.496572,4726,-7,"A","America/Denver" +3528,"Northern Maine Rgnl At Presque Isle","Presque Isle","United States","PQI","KPQI",46.688958,-68.044797,534,-5,"A","America/New_York" +3529,"Kirtland Air Force Base","Kirtland A.f.b.","United States","IKR","KIKR",35.040222,-106.609194,5355,-7,"A","America/Denver" +3530,"Gray Aaf","Fort Lewis","United States","GRF","KGRF",47.079217,-122.580783,302,-8,"A","America/Los_Angeles" +3531,"Kodiak","Kodiak","United States","ADQ","PADQ",57.749967,-152.493856,78,-9,"A","America/Anchorage" +3532,"Upolu","Opolu","United States","UPP","PHUP",20.265256,-155.859989,96,-10,"A","Pacific/Honolulu" +3533,"Fort Lauderdale Hollywood Intl","Fort Lauderdale","United States","FLL","KFLL",26.072583,-80.15275,9,-5,"A","America/New_York" +3534,"Davis Fld","Muskogee","United States","MKO","KMKO",35.656489,-95.366656,612,-6,"A","America/Chicago" +3535,"Falls Intl","International Falls","United States","INL","KINL",48.566186,-93.403067,1185,-6,"A","America/Chicago" +3536,"Salt Lake City Intl","Salt Lake City","United States","SLC","KSLC",40.788389,-111.977772,4227,-7,"A","America/Denver" +3537,"Childress Muni","Childress","United States","CDS","KCDS",34.433781,-100.287992,1954,-6,"A","America/Chicago" +3538,"Keesler Afb","Biloxi","United States","BIX","KBIX",30.410425,-88.924433,33,-6,"A","America/Chicago" +3539,"Lawson Aaf","Fort Benning","United States","LSF","KLSF",32.337322,-84.991283,232,-5,"A","America/New_York" +3540,"Kingsville Nas","Kingsville","United States","NQI","KNQI",27.507223,-97.809723,50,-6,"A","America/Chicago" +3541,"Marshall Aaf","Fort Riley","United States","FRI","KFRI",39.055275,-96.764453,1063,-6,"A","America/Chicago" +3542,"Harrisburg Intl","Harrisburg","United States","MDT","KMDT",40.193494,-76.763403,310,-5,"A","America/New_York" +3543,"Lincoln","Lincoln","United States","LNK","KLNK",40.850971,-96.75925,1219,-6,"A","America/Chicago" +3544,"Capital City","Lansing","United States","LAN","KLAN",42.7787,-84.587357,861,-5,"A","America/New_York" +3545,"Waimea Kohala","Kamuela","United States","MUE","PHMU",20.001328,-155.668108,2671,-10,"A","Pacific/Honolulu" +3546,"Massena Intl Richards Fld","Massena","United States","MSS","KMSS",44.935833,-74.845547,215,-5,"A","America/New_York" +3547,"Hickory Rgnl","Hickory","United States","HKY","KHKY",35.741147,-81.38955,1189,-5,"A","America/New_York" +3548,"Albert Whitted","St. Petersburg","United States","SPG","KSPG",27.765111,-82.626972,7,-5,"A","America/New_York" +3549,"Page Fld","Fort Myers","United States","FMY","KFMY",26.586611,-81.86325,17,-5,"A","America/New_York" +3550,"George Bush Intercontinental","Houston","United States","IAH","KIAH",29.984433,-95.341442,97,-6,"A","America/Chicago" +3551,"Millinocket Muni","Millinocket","United States","MLT","KMLT",45.647836,-68.685561,408,-5,"A","America/New_York" +3552,"Andrews Afb","Camp Springs","United States","ADW","KADW",38.810806,-76.867028,280,-5,"A","America/New_York" +3553,"Smith Reynolds","Winston-salem","United States","INT","KINT",36.133722,-80.222,969,-5,"A","America/New_York" +3554,"Southern California Logistics","Victorville","United States","VCV","KVCV",34.597453,-117.382997,2885,-8,"A","America/Los_Angeles" +3555,"Bob Sikes","Crestview","United States","CEW","KCEW",30.778833,-86.522111,213,-6,"A","America/Chicago" +3556,"Wheeler Sack Aaf","Fort Drum","United States","GTB","KGTB",44.055619,-75.719458,690,-5,"A","America/New_York" +3557,"St Clair Co Intl","Port Huron","United States","PHN","KPHN",42.910957,-82.528862,650,-5,"A","America/New_York" +3558,"Meadows Fld","Bakersfield","United States","BFL","KBFL",35.433598,-119.05677,507,-8,"A","America/Los_Angeles" +3559,"El Paso Intl","El Paso","United States","ELP","KELP",31.80725,-106.377583,3958,-7,"A","America/Denver" +3560,"Valley Intl","Harlingen","United States","HRL","KHRL",26.2285,-97.654389,36,-6,"A","America/Chicago" +3561,"Columbia Metropolitan","Columbia","United States","CAE","KCAE",33.938833,-81.119528,236,-5,"A","America/New_York" +3562,"Davis Monthan Afb","Tucson","United States","DMA","KDMA",32.166467,-110.883144,2704,-7,"A","America/Phoenix" +3563,"Pensacola Nas","Pensacola","United States","NPA","KNPA",30.352656,-87.318647,28,-6,"A","America/Chicago" +3564,"Pensacola Rgnl","Pensacola","United States","PNS","KPNS",30.473425,-87.186611,121,-6,"A","America/Chicago" +3565,"Grand Forks Afb","Red River","United States","RDR","KRDR",47.961098,-97.401194,913,-6,"A","America/Chicago" +3566,"William P Hobby","Houston","United States","HOU","KHOU",29.645419,-95.278889,46,-6,"A","America/Chicago" +3567,"Buckley Afb","Buckley","United States","BKF","KBKF",39.701668,-104.75166,5662,-7,"A","America/Denver" +3568,"Northway","Northway","United States","ORT","PAOR",62.961334,-141.929136,1716,-9,"A","America/Anchorage" +3569,"Palmer Muni","Palmer","United States","PAQ","PAAQ",61.594914,-149.088711,242,-9,"A","America/Anchorage" +3570,"Pittsburgh Intl","Pittsburgh","United States","PIT","KPIT",40.491467,-80.232872,1204,-5,"A","America/New_York" +3571,"Wiley Post Will Rogers Mem","Barrow","United States","BRW","PABR",71.285446,-156.766003,44,-9,"A","America/Anchorage" +3572,"Ellington Fld","Houston","United States","EFD","KEFD",29.607333,-95.15875,32,-6,"A","America/Chicago" +3573,"Whidbey Island Nas","Whidbey Island","United States","NUW","KNUW",48.351803,-122.655906,47,-8,"A","America/Los_Angeles" +3574,"Alice Intl","Alice","United States","ALI","KALI",27.740889,-98.026944,178,-6,"A","America/Chicago" +3575,"Moody Afb","Valdosta","United States","VAD","KVAD",30.967833,-83.193,233,-5,"A","America/New_York" +3576,"Miami Intl","Miami","United States","MIA","KMIA",25.79325,-80.290556,8,-5,"A","America/New_York" +3577,"Seattle Tacoma Intl","Seattle","United States","SEA","KSEA",47.449,-122.309306,433,-8,"A","America/Los_Angeles" +3578,"Lovell Fld","Chattanooga","United States","CHA","KCHA",35.035278,-85.203808,683,-5,"A","America/New_York" +3579,"Igor I Sikorsky Mem","Stratford","United States","BDR","KBDR",41.163472,-73.126167,9,-5,"A","America/New_York" +3580,"Jackson Evers Intl","Jackson","United States","JAN","KJAN",32.311167,-90.075889,346,-6,"A","America/Chicago" +3581,"Scholes Intl At Galveston","Galveston","United States","GLS","KGLS",29.265322,-94.860406,6,-6,"A","America/Chicago" +3582,"Long Beach","Long Beach","United States","LGB","KLGB",33.817722,-118.151611,60,-8,"A","America/Los_Angeles" +3583,"Dillingham","Dillingham","United States","HDH","PHDH",21.579475,-158.197281,14,-10,"A","Pacific/Honolulu" +3584,"Williamsport Rgnl","Williamsport","United States","IPT","KIPT",41.241836,-76.921094,529,-5,"A","America/New_York" +3585,"Indianapolis Intl","Indianapolis","United States","IND","KIND",39.717331,-86.294383,797,-5,"A","America/New_York" +3586,"Whiteman Afb","Knobnoster","United States","SZL","KSZL",38.730306,-93.547864,870,-6,"A","America/Chicago" +3587,"Akron Fulton Intl","Akron","United States","AKC","KAKR",41.0375,-81.466917,1067,-5,"A","America/New_York" +3588,"Greenwood Leflore","Greenwood","United States","GWO","KGWO",33.494328,-90.084706,162,-6,"A","America/Chicago" +3589,"Westchester Co","White Plains","United States","HPN","KHPN",41.066959,-73.707575,439,-5,"A","America/New_York" +3590,"Francis S Gabreski","West Hampton Beach","United States","FOK","KFOK",40.843656,-72.631789,67,-5,"A","America/New_York" +3591,"Jonesboro Muni","Jonesboro","United States","JBR","KJBR",35.831708,-90.646417,262,-6,"A","America/Chicago" +3592,"Tonopah Test Range","Tonopah","United States","TNX","KTNX",37.798836,-116.78075,5549,-8,"A","America/Los_Angeles" +3593,"Palm Beach Co Park","West Palm Beach","United States","LNA","KLNA",26.593,-80.085056,14,-5,"A","America/New_York" +3594,"North Island Nas","San Diego","United States","NZY","KNZY",32.699219,-117.21531,26,-8,"A","America/Los_Angeles" +3595,"Biggs Aaf","El Paso","United States","BIF","KBIF",31.849528,-106.380039,3948,-7,"A","America/Denver" +3596,"Yuma Mcas Yuma Intl","Yuma","United States","YUM","KYUM",32.656578,-114.60598,216,-7,"N","America/Phoenix" +3597,"Cavern City Air Terminal","Carlsbad","United States","CNM","KCNM",32.337472,-104.263278,3295,-7,"A","America/Denver" +3598,"Duluth Intl","Duluth","United States","DLH","KDLH",46.842091,-92.193649,1428,-6,"A","America/Chicago" +3599,"Bethel","Bethel","United States","BET","PABE",60.779778,-161.838,121,-9,"A","America/Anchorage" +3600,"Bowman Fld","Louisville","United States","LOU","KLOU",38.228,-85.663722,546,-5,"A","America/New_York" +3601,"Sierra Vista Muni Libby Aaf","Fort Huachuca","United States","FHU","KFHU",31.588472,-110.344389,4719,-7,"A","America/Phoenix" +3602,"Lihue","Lihue","United States","LIH","PHLI",21.975983,-159.338958,153,-10,"N","Pacific/Honolulu" +3603,"Terre Haute Intl Hulman Fld","Terre Haute","United States","HUF","KHUF",39.451464,-87.307561,589,-5,"A","America/New_York" +3604,"Havre City Co","Havre","United States","HVR","KHVR",48.542983,-109.762342,2590,-7,"A","America/Denver" +3605,"Grant Co Intl","Grant County Airport","United States","MWH","KMWH",47.207708,-119.32019,1185,-8,"A","America/Los_Angeles" +3606,"Edward F Knapp State","Montpelier","United States","MPV","KMPV",44.203503,-72.562328,1165,-5,"A","America/New_York" +3607,"San Nicolas Island Nolf","San Nicolas Island","United States","","KNSI",33.239765,-119.45816,506,-8,"A","America/Los_Angeles" +3608,"Richmond Intl","Richmond","United States","RIC","KRIC",37.505167,-77.319667,167,-5,"A","America/New_York" +3609,"Shreveport Rgnl","Shreveport","United States","SHV","KSHV",32.446629,-93.8256,258,-6,"A","America/Chicago" +3610,"Merle K Mudhole Smith","Cordova","United States","CDV","PACV",60.491778,-145.477556,48,-9,"A","America/Anchorage" +3611,"Norfolk Intl","Norfolk","United States","ORF","KORF",36.894611,-76.201222,26,-5,"A","America/New_York" +3612,"Southeast Texas Rgnl","Beaumont","United States","BPT","KBPT",29.950833,-94.020694,15,-6,"A","America/Chicago" +3613,"Savannah Hilton Head Intl","Savannah","United States","SAV","KSAV",32.127583,-81.202139,51,-5,"A","America/New_York" +3614,"Hill Afb","Ogden","United States","HIF","KHIF",41.123939,-111.973039,4789,-7,"A","America/Denver" +3615,"Nome","Nome","United States","OME","PAOM",64.512203,-165.445247,37,-9,"A","America/Anchorage" +3616,"Scappoose Industrial Airpark","San Luis","United States","SPB","KSPB",45.771028,-122.861833,58,-8,"A","America/Los_Angeles" +3617,"St Petersburg Clearwater Intl","St. Petersburg","United States","PIE","KPIE",27.910167,-82.687389,10,-5,"A","America/New_York" +3618,"Menominee Marinette Twin Co","Macon","United States","MNM","KMNM",45.12665,-87.638443,625,-6,"A","America/Chicago" +3619,"Lone Star Executive","Conroe","United States","CXO","KCXO",30.351833,-95.414467,245,-6,"A","America/Chicago" +3620,"Deadhorse","Deadhorse","United States","SCC","PASC",70.19475,-148.465167,64,-9,"A","America/Anchorage" +3621,"San Antonio Intl","San Antonio","United States","SAT","KSAT",29.533694,-98.469778,809,-6,"A","America/Chicago" +3622,"Greater Rochester Intl","Rochester","United States","ROC","KROC",43.118866,-77.672389,559,-5,"A","America/New_York" +3623,"Patrick Afb","Coco Beach","United States","COF","KCOF",28.234922,-80.610125,8,-5,"A","America/New_York" +3624,"Teterboro","Teterboro","United States","TEB","KTEB",40.850103,-74.060837,9,-5,"A","America/New_York" +3625,"Ellsworth Afb","Rapid City","United States","RCA","KRCA",44.145042,-103.103567,3279,-7,"A","America/Denver" +3626,"Raleigh Durham Intl","Raleigh-durham","United States","RDU","KRDU",35.877639,-78.787472,435,-5,"A","America/New_York" +3627,"James M Cox Dayton Intl","Dayton","United States","DAY","KDAY",39.902375,-84.219375,1009,-5,"A","America/New_York" +3628,"Kenai Muni","Kenai","United States","ENA","PAEN",60.573111,-151.245,99,-9,"A","America/Anchorage" +3629,"Mc Alester Rgnl","Mcalester","United States","MLC","KMLC",34.882403,-95.783463,770,-6,"A","America/Chicago" +3630,"Niagara Falls Intl","Niagara Falls","United States","IAG","KIAG",43.107333,-78.946194,589,-5,"A","America/New_York" +3631,"Coulter Fld","Bryan","United States","CFD","KCFD",30.715694,-96.331361,367,-6,"A","America/Chicago" +3632,"Wright Aaf","Wright","United States","","KLHW",31.889097,-81.562333,45,-5,"A","America/New_York" +3633,"Newport News Williamsburg Intl","Newport News","United States","PHF","KPHF",37.131894,-76.492989,43,-5,"A","America/New_York" +3634,"Esler Rgnl","Alexandria","United States","ESF","KESF",31.394903,-92.295772,112,-6,"A","America/Chicago" +3635,"Altus Afb","Altus","United States","LTS","KLTS",34.667067,-99.266681,1382,-6,"A","America/Chicago" +3636,"Tucson Intl","Tucson","United States","TUS","KTUS",32.116083,-110.941028,2643,-7,"N","America/Phoenix" +3637,"Minot Afb","Minot","United States","MIB","KMIB",48.415572,-101.357661,1668,-6,"A","America/Chicago" +3638,"Beale Afb","Marysville","United States","BAB","KBAB",39.136089,-121.436567,113,-8,"A","America/Los_Angeles" +3639,"Greater Kankakee","Kankakee","United States","IKK","KIKK",41.071389,-87.846278,630,-6,"A","America/Chicago" +3640,"Seymour Johnson Afb","Goldsboro","United States","GSB","KGSB",35.339383,-77.960589,110,-5,"A","America/New_York" +3641,"Theodore Francis Green State","Providence","United States","PVD","KPVD",41.732581,-71.420383,55,-5,"A","America/New_York" +3642,"Salisbury Ocean City Wicomico Rgnl","Salisbury","United States","SBY","KSBY",38.340525,-75.510289,52,-5,"A","America/New_York" +3643,"Rancho Murieta","Rancho Murieta","United States","RIU","KRIU",38.486778,-121.102778,141,-8,"A","America/Los_Angeles" +3644,"Bob Hope","Burbank","United States","BUR","KBUR",34.200667,-118.358667,778,-8,"A","America/Los_Angeles" +3645,"Detroit Metro Wayne Co","Detroit","United States","DTW","KDTW",42.212444,-83.353389,645,-5,"A","America/New_York" +3646,"Tampa Intl","Tampa","United States","TPA","KTPA",27.975472,-82.53325,26,-5,"A","America/New_York" +3647,"Pembina Muni","Pembina","United States","PMB","KPMB",48.942501,-97.240833,795,-6,"A","America/Chicago" +3648,"Polk Aaf","Fort Polk","United States","POE","KPOE",31.044833,-93.191667,330,-6,"A","America/Chicago" +3649,"Eielson Afb","Fairbanks","United States","EIL","PAEI",64.665667,-147.1015,548,-9,"A","America/Anchorage" +3650,"Chisholm Hibbing","Hibbing","United States","HIB","KHIB",47.3866,-92.838994,1353,-6,"A","America/Chicago" +3651,"Angelina Co","Lufkin","United States","LFK","KLFK",31.234014,-94.75,296,-6,"A","America/Chicago" +3652,"Midland Intl","Midland","United States","MAF","KMAF",31.942528,-102.201914,2871,-6,"A","America/Chicago" +3653,"Austin Straubel Intl","Green Bay","United States","GRB","KGRB",44.485072,-88.129589,695,-6,"A","America/Chicago" +3654,"Ardmore Muni","Ardmore","United States","ADM","KADM",34.300833,-97.008889,762,-6,"A","America/Chicago" +3655,"Mc Guire Afb","Wrightstown","United States","WRI","KWRI",40.015556,-74.591667,131,-5,"A","America/New_York" +3656,"Cherry Point Mcas","Cherry Point","United States","NKT","KNKT",34.900872,-76.880733,29,-5,"A","America/New_York" +3657,"Emanuel Co","Santa Barbara","United States","SBO","KSBO",32.609139,-82.369944,327,-5,"A","America/New_York" +3658,"Augusta Rgnl At Bush Fld","Bush Field","United States","AGS","KAGS",33.369944,-81.9645,144,-5,"A","America/New_York" +3659,"Sloulin Fld Intl","Williston","United States","ISN","KISN",48.177939,-103.642347,1982,-6,"A","America/Chicago" +3660,"Adams Fld","Little Rock","United States","LIT","KLIT",34.729444,-92.224306,262,-6,"A","America/Chicago" +3661,"Stewart Intl","Newburgh","United States","SWF","KSWF",41.504094,-74.104839,491,-5,"A","America/New_York" +3662,"Baudette Intl","Baudette","United States","BDE","KBDE",48.728444,-94.612222,1086,-6,"A","America/Chicago" +3663,"Sacramento Executive","Sacramento","United States","SAC","KSAC",38.512524,-121.49347,24,-8,"A","America/Los_Angeles" +3664,"Homer","Homer","United States","HOM","PAHO",59.645556,-151.476583,84,-9,"A","America/Anchorage" +3665,"Waynesville Rgnl Arpt At Forney Fld","Fort Leonardwood","United States","TBN","KTBN",37.741631,-92.140736,1159,-6,"A","America/Chicago" +3666,"Dobbins Arb","Marietta","United States","MGE","KMGE",33.915382,-84.516319,1068,-5,"A","America/New_York" +3667,"Fairchild Afb","Spokane","United States","SKA","KSKA",47.615058,-117.655772,2461,-8,"A","America/Los_Angeles" +3668,"Roscommon Co","Houghton Lake","United States","HTL","KHTL",44.359806,-84.671112,1150,-5,"A","America/New_York" +3669,"Tyndall Afb","Panama City","United States","PAM","KPAM",30.069567,-85.575417,17,-6,"A","America/Chicago" +3670,"Dallas Fort Worth Intl","Dallas-Fort Worth","United States","DFW","KDFW",32.896828,-97.037997,607,-6,"A","America/Chicago" +3671,"Melbourne Intl","Melbourne","United States","MLB","KMLB",28.102753,-80.645258,33,-5,"A","America/New_York" +3672,"Mc Chord Afb","Tacoma","United States","TCM","KTCM",47.137678,-122.476475,322,-8,"A","America/Los_Angeles" +3673,"Austin Bergstrom Intl","Austin","United States","AUS","KAUS",30.194528,-97.669889,542,-6,"A","America/Chicago" +3674,"Rickenbacker Intl","Columbus","United States","LCK","KLCK",39.813786,-82.927822,744,-5,"A","America/New_York" +3675,"Sawyer Intl","Gwinn","United States","","KSAW",46.353625,-87.395353,1221,-5,"A","America/New_York" +3676,"Mc Ghee Tyson","Knoxville","United States","TYS","KTYS",35.810972,-83.994028,981,-5,"A","America/New_York" +3677,"Hood Aaf","Fort Hood","United States","HLR","KHLR",31.138731,-97.714469,924,-6,"A","America/Chicago" +3678,"Lambert St Louis Intl","St. Louis","United States","STL","KSTL",38.748697,-90.370028,618,-6,"A","America/Chicago" +3679,"Millville Muni","Millville","United States","MIV","KMIV",39.367806,-75.072222,85,-5,"A","America/New_York" +3680,"Sheppard Afb Wichita Falls Muni","Wichita Falls","United States","SPS","KSPS",33.988797,-98.491894,1019,-6,"A","America/Chicago" +3681,"Cincinnati Muni Lunken Fld","Cincinnati","United States","LUK","KLUK",39.103333,-84.418611,483,-5,"A","America/New_York" +3682,"Hartsfield Jackson Atlanta Intl","Atlanta","United States","ATL","KATL",33.636719,-84.428067,1026,-5,"A","America/New_York" +3683,"Castle","Merced","United States","MER","KMER",37.380481,-120.568189,189,-8,"A","America/Los_Angeles" +3684,"Mc Clellan Afld","Sacramento","United States","MCC","KMCC",38.667639,-121.400611,75,-8,"A","America/Los_Angeles" +3685,"Gerald R Ford Intl","Grand Rapids","United States","GRR","KGRR",42.880833,-85.522806,794,-5,"A","America/New_York" +3686,"Winkler Co","Wink","United States","INK","KINK",31.779628,-103.201361,2822,-6,"A","America/Chicago" +3687,"Fresno Yosemite Intl","Fresno","United States","FAT","KFAT",36.776194,-119.71814,336,-8,"A","America/Los_Angeles" +3688,"Vero Beach Muni","Vero Beach","United States","VRB","KVRB",27.655556,-80.417944,24,-5,"A","America/New_York" +3689,"Imperial Co","Imperial","United States","IPL","KIPL",32.834219,-115.578744,-54,-8,"A","America/Los_Angeles" +3690,"Nashville Intl","Nashville","United States","BNA","KBNA",36.124472,-86.678194,599,-6,"A","America/Chicago" +3691,"Laredo Intl","Laredo","United States","LRD","KLRD",27.54375,-99.461556,508,-6,"A","America/Chicago" +3692,"Elmendorf Afb","Anchorage","United States","EDF","PAED",61.250986,-149.806503,212,-9,"A","America/Anchorage" +3693,"Ralph Wien Mem","Kotzebue","United States","OTZ","PAOT",66.884678,-162.59855,11,-9,"A","America/Anchorage" +3694,"Altoona Blair Co","Altoona","United States","AOO","KAOO",40.296372,-78.320022,1504,-5,"A","America/New_York" +3695,"Dyess Afb","Abilene","United States","DYS","KDYS",32.420756,-99.8546,1789,-6,"A","America/Chicago" +3696,"South Arkansas Rgnl At Goodwin Fld","El Dorado","United States","ELD","KELD",33.220972,-92.813278,277,-6,"A","America/Chicago" +3697,"La Guardia","New York","United States","LGA","KLGA",40.777245,-73.872608,22,-5,"A","America/New_York" +3698,"Tallahassee Rgnl","Tallahassee","United States","TLH","KTLH",30.396528,-84.350333,81,-5,"A","America/New_York" +3699,"Dupage","West Chicago","United States","DPA","KDPA",41.907778,-88.248611,758,-6,"A","America/Chicago" +3700,"Waco Rgnl","Waco","United States","ACT","KACT",31.611289,-97.230519,516,-6,"A","America/Chicago" +3701,"Augusta State","Augusta","United States","AUG","KAUG",44.320647,-69.797317,352,-5,"A","America/New_York" +3702,"Hillsboro Muni","Hillsboro","United States","INJ","KINJ",32.083486,-97.097228,685,-6,"A","America/Chicago" +3703,"Jacksonville Nas","Jacksonville","United States","NIP","KNIP",30.235834,-81.680556,22,-5,"A","America/New_York" +3704,"Mc Kellar Sipes Rgnl","Jackson","United States","MKL","KMKL",35.599889,-88.915611,434,-6,"A","America/Chicago" +3705,"Molokai","Molokai","United States","MKK","PHMK",21.152886,-157.096256,454,-10,"N","Pacific/Honolulu" +3706,"Godman Aaf","Fort Knox","United States","FTK","KFTK",37.907058,-85.972106,756,-5,"A","America/New_York" +3707,"New River Mcas","Jacksonville","United States","","KNCA",34.708417,-77.439667,26,-5,"A","America/New_York" +3708,"San Angelo Rgnl Mathis Fld","San Angelo","United States","SJT","KSJT",31.35775,-100.496306,1919,-6,"A","America/Chicago" +3709,"Calexico Intl","Calexico","United States","CXL","KCXL",32.669502,-115.51333,4,-8,"A","America/Los_Angeles" +3710,"Chico Muni","Chico","United States","CIC","KCIC",39.795383,-121.858422,238,-8,"A","America/Los_Angeles" +3711,"Burlington Intl","Burlington","United States","BTV","KBTV",44.471861,-73.153278,335,-5,"A","America/New_York" +3712,"Jacksonville Intl","Jacksonville","United States","JAX","KJAX",30.494056,-81.687861,30,-5,"A","America/New_York" +3713,"Durango La Plata Co","Durango","United States","DRO","KDRO",37.151516,-107.75377,6685,-7,"A","America/Denver" +3714,"Washington Dulles Intl","Washington","United States","IAD","KIAD",38.944533,-77.455811,313,-5,"A","America/New_York" +3715,"Easterwood Fld","College Station","United States","CLL","KCLL",30.588583,-96.363833,321,-6,"A","America/Chicago" +3716,"Felts Fld","Spokane","United States","SFF","KSFF",47.682819,-117.322558,1953,-8,"A","America/Los_Angeles" +3717,"General Mitchell Intl","Milwaukee","United States","MKE","KMKE",42.947222,-87.896583,723,-6,"A","America/Chicago" +3718,"Abilene Rgnl","Abilene","United States","ABI","KABI",32.411319,-99.681897,1791,-6,"A","America/Chicago" +3719,"Columbia Rgnl","Columbia","United States","COU","KCOU",38.818094,-92.219631,889,-6,"A","America/Chicago" +3720,"Portland Intl","Portland","United States","PDX","KPDX",45.588722,-122.5975,30,-8,"A","America/Los_Angeles" +3721,"Dade Collier Training And Transition","Miami","United States","TNT","KTNT",25.861806,-80.897,13,-5,"A","America/New_York" +3722,"Palm Beach Intl","West Palm Beach","United States","PBI","KPBI",26.683161,-80.095589,19,-5,"A","America/New_York" +3723,"Fort Worth Meacham Intl","Fort Worth","United States","FTW","KFTW",32.819778,-97.362444,710,-6,"A","America/Chicago" +3724,"Ogdensburg Intl","Ogdensburg","United States","OGS","KOGS",44.681854,-75.4655,297,-5,"A","America/New_York" +3725,"Otis Angb","Falmouth","United States","FMH","KFMH",41.658439,-70.521417,131,-5,"A","America/New_York" +3726,"Boeing Fld King Co Intl","Seattle","United States","BFI","KBFI",47.53,-122.301947,21,-8,"A","America/Los_Angeles" +3727,"Lackland Afb Kelly Fld Annex","San Antonio","United States","SKF","KSKF",29.384228,-98.581108,691,-6,"A","America/Chicago" +3728,"Honolulu Intl","Honolulu","United States","HNL","PHNL",21.318681,-157.922428,13,-10,"N","Pacific/Honolulu" +3729,"Des Moines Intl","Des Moines","United States","DSM","KDSM",41.533972,-93.663083,958,-6,"A","America/Chicago" +3730,"Craven Co Rgnl","New Bern","United States","EWN","KEWN",35.072972,-77.042944,18,-5,"A","America/New_York" +3731,"San Diego Intl","San Diego","United States","SAN","KSAN",32.733556,-117.189667,17,-8,"A","America/Los_Angeles" +3732,"Monroe Rgnl","Monroe","United States","MLU","KMLU",32.510864,-92.037689,79,-6,"A","America/Chicago" +3733,"Shaw Afb","Sumter","United States","SSC","KSSC",33.972719,-80.470564,242,-5,"A","America/New_York" +3734,"Ontario Intl","Ontario","United States","ONT","KONT",34.056,-117.601194,944,-8,"A","America/Los_Angeles" +3735,"Majors","Greenvile","United States","GVT","KGVT",33.067839,-96.065333,535,-6,"A","America/Chicago" +3736,"Roswell Intl Air Center","Roswell","United States","ROW","KROW",33.301556,-104.530556,3671,-7,"A","America/Denver" +3737,"Coleman A Young Muni","Detroit","United States","DET","KDET",42.409195,-83.009861,626,-5,"A","America/New_York" +3738,"Brownsville South Padre Island Intl","Brownsville","United States","BRO","KBRO",25.906833,-97.425861,22,-6,"A","America/Chicago" +3739,"Dothan Rgnl","Dothan","United States","DHN","KDHN",31.321339,-85.449628,401,-6,"A","America/Chicago" +3740,"Cape May Co","Wildwood","United States","WWD","KWWD",39.008507,-74.908275,23,-5,"A","America/New_York" +3741,"Fallon Nas","Fallon","United States","NFL","KNFL",39.416584,-118.70098,3934,-8,"A","America/Los_Angeles" +3742,"Selfridge Angb","Mount Clemens","United States","MTC","KMTC",42.608333,-82.8355,580,-5,"A","America/New_York" +3743,"Four Corners Rgnl","Farmington","United States","FMN","KFMN",36.74125,-108.229944,5506,-7,"A","America/Denver" +3744,"Corpus Christi Intl","Corpus Christi","United States","CRP","KCRP",27.770361,-97.501222,44,-6,"A","America/Chicago" +3745,"Syracuse Hancock Intl","Syracuse","United States","SYR","KSYR",43.111187,-76.106311,421,-5,"A","America/New_York" +3746,"Key West Nas","Key West","United States","NQX","KNQX",24.575834,-81.688889,6,-5,"A","America/New_York" +3747,"Chicago Midway Intl","Chicago","United States","MDW","KMDW",41.785972,-87.752417,620,-6,"A","America/Chicago" +3748,"Norman Y Mineta San Jose Intl","San Jose","United States","SJC","KSJC",37.3626,-121.929022,62,-8,"A","America/Los_Angeles" +3749,"Lea Co Rgnl","Hobbs","United States","HOB","KHOB",32.687528,-103.217028,3661,-7,"A","America/Denver" +3750,"Northeast Philadelphia","Philadelphia","United States","PNE","KPNE",40.081944,-75.010586,121,-5,"A","America/New_York" +3751,"Denver Intl","Denver","United States","DEN","KDEN",39.861656,-104.673178,5431,-7,"A","America/Denver" +3752,"Philadelphia Intl","Philadelphia","United States","PHL","KPHL",39.871944,-75.241139,36,-5,"A","America/New_York" +3753,"Sioux Gateway Col Bud Day Fld","Sioux City","United States","SUX","KSUX",42.402603,-96.384367,1098,-6,"A","America/Chicago" +3754,"Middle Georgia Rgnl","Macon","United States","MCN","KMCN",32.69285,-83.649211,354,-5,"A","America/New_York" +3755,"Truth Or Consequences Muni","Truth Or Consequences","United States","TCS","KTCS",33.236944,-107.27175,4853,-7,"A","America/Denver" +3756,"Palmdale Rgnl Usaf Plt 42","Palmdale","United States","PMD","KPMD",34.629391,-118.08456,2543,-8,"A","America/Los_Angeles" +3757,"Randolph Afb","San Antonio","United States","RND","KRND",29.529675,-98.2789,762,-6,"A","America/Chicago" +3758,"El Centro Naf","El Centro","United States","NJK","KNJK",32.829222,-115.671667,-42,-8,"A","America/Los_Angeles" +3759,"Port Columbus Intl","Columbus","United States","CMH","KCMH",39.997972,-82.891889,815,-5,"A","America/New_York" +3760,"Drake Fld","Fayetteville","United States","FYV","KFYV",36.005094,-94.170059,1251,-6,"A","America/Chicago" +3761,"Henry Post Aaf","Fort Sill","United States","FSI","KFSI",34.649833,-98.402167,1189,-6,"A","America/Chicago" +3762,"Princeton Muni","Princeton","United States","PNM","KPNM",45.559868,-93.608217,979,-6,"A","America/Chicago" +3763,"Wright Patterson Afb","Dayton","United States","FFO","KFFO",39.826111,-84.048332,823,-5,"A","America/New_York" +3764,"Edward G Pitka Sr","Galena","United States","GAL","PAGA",64.736178,-156.937417,152,-9,"A","America/Anchorage" +3765,"Chandler Muni","Chandler","United States","","KCHD",33.269111,-111.811111,1243,-7,"A","America/Phoenix" +3766,"Mineral Wells","Mineral Wells","United States","MWL","KMWL",32.781606,-98.060175,974,-6,"A","America/Chicago" +3767,"Mc Connell Afb","Wichita","United States","IAB","KIAB",37.621853,-97.268192,1371,-6,"A","America/Chicago" +3768,"New Orleans Nas Jrb","New Orleans","United States","NBG","KNBG",29.825333,-90.035,3,-6,"A","America/Chicago" +3769,"Beaufort","Beaufort","United States","BFT","KNBC",32.477411,-80.723161,37,-5,"A","America/New_York" +3770,"Texarkana Rgnl Webb Fld","Texarkana","United States","TXK","KTXK",33.453722,-93.991028,390,-6,"A","America/Chicago" +3771,"Plattsburgh Intl","Plattsburgh","United States","PBG","KPBG",44.650944,-73.468139,234,-5,"A","America/New_York" +3772,"Phillips Aaf","Aberdeen","United States","APG","KAPG",39.466219,-76.168808,57,-5,"A","America/New_York" +3773,"Tucumcari Muni","Tucumcari","United States","TCC","KTCC",35.182777,-103.603186,4065,-7,"A","America/Denver" +3774,"Ted Stevens Anchorage Intl","Anchorage","United States","ANC","PANC",61.174361,-149.996361,152,-9,"A","America/Anchorage" +3775,"Robert Gray Aaf","Killeen","United States","GRK","KGRK",31.06725,-97.828917,1015,-6,"A","America/Chicago" +3776,"Black Rock","Zuni Pueblo","United States","ZUN","KZUN",35.083228,-108.791778,6454,-7,"A","America/Denver" +3777,"Bellingham Intl","Bellingham","United States","BLI","KBLI",48.792694,-122.537528,170,-8,"A","America/Los_Angeles" +3778,"Millington Rgnl Jetport","Millington","United States","NQA","KNQA",35.356667,-89.870278,320,-6,"A","America/Chicago" +3779,"Elkins Randolph Co Jennings Randolph","Elkins","United States","EKN","KEKN",38.889444,-79.857139,1987,-5,"A","America/New_York" +3780,"Hartford Brainard","Hartford","United States","HFD","KHFD",41.736722,-72.649444,18,-5,"A","America/New_York" +3781,"North Central State","Smithfield","United States","SFZ","KSFZ",41.920764,-71.491381,441,-5,"A","America/New_York" +3782,"Mobile Rgnl","Mobile","United States","MOB","KMOB",30.691231,-88.242814,219,-6,"A","America/Chicago" +3783,"Moffett Federal Afld","Mountain View","United States","NUQ","KNUQ",37.416142,-122.049139,32,-8,"A","America/Los_Angeles" +3784,"Santa Fe Muni","Santa Fe","United States","SAF","KSAF",35.617108,-106.089422,6348,-7,"A","America/Denver" +3785,"Barking Sands Pmrf","Barking Sands","United States","BKH","PHBK",22.022833,-159.785,23,-10,"A","Pacific/Honolulu" +3786,"Beauregard Rgnl","Deridder","United States","DRI","KDRI",30.831722,-93.339917,202,-6,"A","America/Chicago" +3787,"Bradshaw Aaf","Bradshaw Field","United States","BSF","PHSF",19.760056,-155.553717,6190,-10,"A","Pacific/Honolulu" +3788,"Nogales Intl","Nogales","United States","OLS","KOLS",31.417722,-110.84789,3955,-7,"A","America/Phoenix" +3789,"Macdill Afb","Tampa","United States","MCF","KMCF",27.849339,-82.521214,14,-5,"A","America/New_York" +3790,"Scott Afb Midamerica","Belleville","United States","BLV","KBLV",38.545178,-89.835183,459,-6,"A","America/Chicago" +3791,"Opa Locka","Miami","United States","OPF","KOPF",25.907,-80.278389,8,-5,"A","America/New_York" +3792,"Del Rio Intl","Del Rio","United States","DRT","KDRT",29.374208,-100.927158,1002,-6,"A","America/Chicago" +3793,"Southwest Florida Intl","Fort Myers","United States","RSW","KRSW",26.536167,-81.755167,30,-5,"A","America/New_York" +3794,"King Salmon","King Salmon","United States","AKN","PAKN",58.676778,-156.649278,68,-9,"A","America/Anchorage" +3795,"Muir Aaf","Muir","United States","MUI","KMUI",40.434811,-76.569411,489,-5,"A","America/New_York" +3796,"Kapalua","Lahania-kapalua","United States","JHM","PHJH",20.962936,-156.673031,256,-10,"N","Pacific/Honolulu" +3797,"John F Kennedy Intl","New York","United States","JFK","KJFK",40.639751,-73.778925,13,-5,"A","America/New_York" +3798,"Homestead Arb","Homestead","United States","HST","KHST",25.48855,-80.383567,6,-5,"A","America/New_York" +3799,"Riverside Muni","Riverside","United States","RAL","KRAL",33.951875,-117.445103,818,-8,"A","America/Los_Angeles" +3800,"Sherman Aaf","Fort Leavenworth","United States","FLV","KFLV",39.368332,-94.914686,772,-6,"A","America/Chicago" +3801,"Wallops Flight Facility","Wallops Island","United States","WAL","KWAL",37.940194,-75.466389,40,-5,"A","America/New_York" +3802,"Holloman Afb","Alamogordo","United States","HMN","KHMN",32.852519,-106.106525,4093,-7,"A","America/Denver" +3803,"Willow Grove Nas Jrb","Willow Grove","United States","NXX","KNXX",40.199833,-75.148167,358,-5,"A","America/New_York" +3804,"Cheyenne Rgnl Jerry Olson Fld","Cheyenne","United States","CYS","KCYS",41.155722,-104.811839,6156,-7,"A","America/Denver" +3805,"Stockton Metropolitan","Stockton","United States","SCK","KSCK",37.894167,-121.238306,33,-8,"A","America/Los_Angeles" +3806,"Charleston Afb Intl","Charleston","United States","CHS","KCHS",32.898647,-80.040528,45,-5,"A","America/New_York" +3807,"Reno Tahoe Intl","Reno","United States","RNO","KRNO",39.499108,-119.768108,4415,-8,"A","America/Los_Angeles" +3808,"Ketchikan Intl","Ketchikan","United States","KTN","PAKT",55.355556,-131.71375,88,-9,"A","America/Anchorage" +3809,"Willow Run","Detroit","United States","YIP","KYIP",42.237928,-83.530408,716,-5,"A","America/New_York" +3810,"Vandenberg Afb","Lompoc","United States","VBG","KVBG",34.737333,-120.584306,369,-8,"A","America/Los_Angeles" +3811,"Birmingham Intl","Birmingham","United States","BHM","KBHM",33.562942,-86.75355,644,-6,"A","America/Chicago" +3812,"Lakehurst Naes","Lakehurst","United States","NEL","KNEL",40.033333,-74.353333,103,-5,"A","America/New_York" +3813,"Eareckson As","Shemya","United States","SYA","PASY",52.712275,174.11362,98,-9,"A","America/Anchorage" +3814,"Nellis Afb","Las Vegas","United States","LSV","KLSV",36.236197,-115.034253,1870,-8,"A","America/Los_Angeles" +3815,"March Arb","Riverside","United States","RIV","KRIV",33.880711,-117.259453,1535,-8,"A","America/Los_Angeles" +3816,"Modesto City Co Harry Sham","Modesto","United States","MOD","KMOD",37.625817,-120.954422,97,-8,"A","America/Los_Angeles" +3817,"Sacramento Intl","Sacramento","United States","SMF","KSMF",38.695417,-121.590778,27,-8,"A","America/Los_Angeles" +3818,"Waukegan Rgnl","Chicago","United States","UGN","KUGN",42.422161,-87.867908,727,-6,"A","America/Chicago" +3819,"City Of Colorado Springs Muni","Colorado Springs","United States","COS","KCOS",38.805805,-104.700778,6187,-7,"A","America/Denver" +3820,"Buffalo Niagara Intl","Buffalo","United States","BUF","KBUF",42.940525,-78.732167,724,-5,"A","America/New_York" +3821,"Griffing Sandusky","Sandusky","United States","SKY","KSKY",41.433361,-82.652333,580,-5,"A","America/New_York" +3822,"Snohomish Co","Everett","United States","PAE","KPAE",47.906342,-122.281564,606,-8,"A","America/Los_Angeles" +3823,"Mountain Home Afb","Mountain Home","United States","MUO","KMUO",43.043603,-115.872431,2996,-7,"A","America/Denver" +3824,"Cedar City Rgnl","Cedar City","United States","CDC","KCDC",37.700967,-113.098847,5622,-7,"A","America/Denver" +3825,"Bradley Intl","Windsor Locks","United States","BDL","KBDL",41.938889,-72.683222,173,-5,"A","America/New_York" +3826,"Mc Allen Miller Intl","Mcallen","United States","MFE","KMFE",26.175833,-98.238611,107,-6,"A","America/Chicago" +3827,"Norfolk Ns","Norfolk","United States","NGU","KNGU",36.937644,-76.289289,15,-5,"A","America/New_York" +3828,"Westover Arb Metropolitan","Chicopee Falls","United States","CEF","KCEF",42.194014,-72.534783,241,-5,"A","America/New_York" +3829,"Lubbock Preston Smith Intl","Lubbock","United States","LBB","KLBB",33.663639,-101.822778,3282,-6,"A","America/Chicago" +3830,"Chicago Ohare Intl","Chicago","United States","ORD","KORD",41.978603,-87.904842,668,-6,"A","America/Chicago" +3831,"Boca Raton","Boca Raton","United States","BCT","KBCT",26.3785,-80.107694,13,-5,"A","America/New_York" +3832,"Fairbanks Intl","Fairbanks","United States","FAI","PAFA",64.815114,-147.856267,434,-9,"A","America/Anchorage" +3833,"Quantico Mcaf","Quantico","United States","NYG","KNYG",38.501683,-77.305333,11,-5,"A","America/New_York" +3834,"Cannon Afb","Clovis","United States","CVS","KCVS",34.382775,-103.322147,4295,-7,"A","America/Denver" +3835,"Kaneohe Bay Mcaf","Kaneohe Bay","United States","NGF","PHNG",21.450453,-157.768,24,-10,"A","Pacific/Honolulu" +3836,"Offutt Afb","Omaha","United States","OFF","KOFF",41.118332,-95.912511,1052,-6,"A","America/Chicago" +3837,"Gulkana","Gulkana","United States","GKN","PAGK",62.154888,-145.456639,1580,-9,"A","America/Anchorage" +3838,"Watertown Intl","Watertown","United States","ART","KART",43.991922,-76.021739,325,-5,"A","America/New_York" +3839,"Palm Springs Intl","Palm Springs","United States","PSP","KPSP",33.829667,-116.506694,477,-8,"A","America/Los_Angeles" +3840,"Rick Husband Amarillo Intl","Amarillo","United States","AMA","KAMA",35.219369,-101.705931,3607,-6,"A","America/Chicago" +3841,"Fort Dodge Rgnl","Fort Dodge","United States","FOD","KFOD",42.5512,-94.191842,1157,-6,"A","America/Chicago" +3842,"Barksdale Afb","Shreveport","United States","BAD","KBAD",32.50182,-93.662674,166,-6,"A","America/Chicago" +3843,"Forbes Fld","Topeka","United States","FOE","KFOE",38.950944,-95.663611,1078,-6,"A","America/Chicago" +3844,"Cotulla Lasalle Co","Cotulla","United States","COT","KCOT",28.456694,-99.220294,474,-6,"A","America/Chicago" +3845,"Wilmington Intl","Wilmington","United States","ILM","KILM",34.270615,-77.902569,32,-5,"A","America/New_York" +3846,"Baton Rouge Metro Ryan Fld","Baton Rouge","United States","BTR","KBTR",30.533167,-91.149639,70,-6,"A","America/Chicago" +3847,"Meridian Nas","Meridian","United States","NMM","KNMM",32.552083,-88.555557,317,-6,"A","America/Chicago" +3848,"Tyler Pounds Rgnl","Tyler","United States","TYR","KTYR",32.354139,-95.402386,544,-6,"A","America/Chicago" +3849,"Baltimore Washington Intl","Baltimore","United States","BWI","KBWI",39.175361,-76.668333,146,-5,"A","America/New_York" +3850,"Hobart Muni","Hobart","United States","HBR","KHBR",34.991308,-99.051353,1564,-6,"A","America/Chicago" +3851,"Lanai","Lanai","United States","LNY","PHNY",20.785611,-156.951419,1308,-10,"N","Pacific/Honolulu" +3852,"Alexandria Intl","Alexandria","United States","AEX","KAEX",31.3274,-92.549833,89,-6,"A","America/Chicago" +3853,"Condron Aaf","White Sands","United States","WSD","KWSD",32.341484,-106.40277,3934,-7,"A","America/Denver" +3854,"Cold Bay","Cold Bay","United States","CDB","PACD",55.206061,-162.725436,96,-9,"A","America/Anchorage" +3855,"Tulsa Intl","Tulsa","United States","TUL","KTUL",36.198389,-95.888111,677,-6,"A","America/Chicago" +3856,"Sitka Rocky Gutierrez","Sitka","United States","SIT","PASI",57.047138,-135.361611,21,-9,"A","America/Anchorage" +3857,"Long Island Mac Arthur","Islip","United States","ISP","KISP",40.79525,-73.100222,99,-5,"A","America/New_York" +3858,"Minneapolis St Paul Intl","Minneapolis","United States","MSP","KMSP",44.881956,-93.221767,841,-6,"A","America/Chicago" +3859,"New Castle","Wilmington","United States","ILG","KILG",39.678722,-75.606528,79,-5,"A","America/New_York" +3860,"Unalaska","Unalaska","United States","DUT","PADU",53.900139,-166.5435,22,-9,"A","America/Anchorage" +3861,"Louis Armstrong New Orleans Intl","New Orleans","United States","MSY","KMSY",29.993389,-90.258028,4,-6,"A","America/Chicago" +3862,"Portland Intl Jetport","Portland","United States","PWM","KPWM",43.646161,-70.309281,77,-5,"A","America/New_York" +3863,"Will Rogers World","Oklahoma City","United States","OKC","KOKC",35.393089,-97.600733,1295,-6,"A","America/Chicago" +3864,"Albany Intl","Albany","United States","ALB","KALB",42.748267,-73.801692,285,-5,"A","America/New_York" +3865,"Valdez Pioneer Fld","Valdez","United States","VDZ","PAVD",61.133949,-146.248342,118,-9,"A","America/Anchorage" +3866,"Langley Afb","Hampton","United States","LFI","KLFI",37.082881,-76.360547,11,-5,"A","America/New_York" +3867,"John Wayne Arpt Orange Co","Santa Ana","United States","SNA","KSNA",33.675667,-117.868222,56,-8,"A","America/Los_Angeles" +3868,"Columbus Afb","Colombus","United States","CBM","KCBM",33.643833,-88.443833,219,-6,"A","America/Chicago" +3869,"Kendall Tamiami Executive","Kendall-tamiami","United States","TMB","KTMB",25.647889,-80.432777,8,-5,"A","America/New_York" +3870,"Oceana Nas","Oceana","United States","NTU","KNTU",36.820703,-76.033542,22,-5,"A","America/New_York" +3871,"Grissom Arb","Peru","United States","GUS","KGUS",40.648094,-86.152119,812,-5,"A","America/New_York" +3872,"Natrona Co Intl","Casper","United States","CPR","KCPR",42.908,-106.464417,5347,-7,"A","America/Denver" +3873,"Eglin Afb","Valparaiso","United States","VPS","KVPS",30.48325,-86.5254,87,-6,"A","America/Chicago" +3874,"Craig Fld","Selma","United States","SEM","KSEM",32.343947,-86.987803,166,-6,"A","America/Chicago" +3875,"Key West Intl","Key West","United States","EYW","KEYW",24.556111,-81.759556,3,-5,"A","America/New_York" +3876,"Charlotte Douglas Intl","Charlotte","United States","CLT","KCLT",35.214,-80.943139,748,-5,"A","America/New_York" +3877,"Mc Carran Intl","Las Vegas","United States","LAS","KLAS",36.080056,-115.15225,2141,-8,"A","America/Los_Angeles" +3878,"Orlando Intl","Orlando","United States","MCO","KMCO",28.429394,-81.308994,96,-5,"A","America/New_York" +3879,"Florence Rgnl","Florence","United States","FLO","KFLO",34.185361,-79.723889,146,-5,"A","America/New_York" +3880,"Great Falls Intl","Great Falls","United States","GTF","KGTF",47.482,-111.370689,3677,-7,"A","America/Denver" +3881,"Youngstown Warren Rgnl","Youngstown","United States","YNG","KYNG",41.260736,-80.679097,1196,-5,"A","America/New_York" +3882,"Ladd Aaf","Fort Wainwright","United States","FBK","PAFB",64.8375,-147.614444,454,-9,"A","America/Anchorage" +3883,"Mc Minnville Muni","Mackminnville","United States","MMV","KMMV",45.194444,-123.135944,163,-8,"A","America/Los_Angeles" +3884,"Robins Afb","Macon","United States","WRB","KWRB",32.640144,-83.59185,294,-5,"A","America/New_York" +3885,"Suvarnabhumi Intl","Bangkok","Thailand","BKK","VTBS",13.681108,100.747283,5,7,"U","Asia/Bangkok" +3887,"Andi Jemma","Masamba","Indonesia","","WAWM",-2.558044,120.324383,164,8,"N","Asia/Makassar" +3888,"Soroako","Soroako","Indonesia","","WAWS",-2.531203,121.357639,1388,8,"N","Asia/Makassar" +3889,"Pongtiku","Makale","Indonesia","","WAWT",-3.044736,119.821536,2884,8,"N","Asia/Makassar" +3890,"Wolter Monginsidi","Kendari","Indonesia","KDI","WAWW",-4.081608,122.418231,538,8,"N","Asia/Makassar" +3891,"Maimun Saleh","Sabang","Indonesia","SBG","WITB",5.874131,95.339672,393,7,"N","Asia/Jakarta" +3892,"Cibeureum","Tasikmalaya","Indonesia","","WICM",-7.346603,108.246092,1148,7,"N","Asia/Jakarta" +3893,"Iswahyudi","Madiun","Indonesia","","WARI",-7.615767,111.434117,361,7,"N","Asia/Jakarta" +3894,"Abdul Rachman Saleh","Malang","Indonesia","MLG","WARA",-7.926556,112.714514,1726,7,"N","Asia/Jakarta" +3895,"Budiarto","Tangerang","Indonesia","","WICB",-6.293169,106.5699,151,7,"N","Asia/Jakarta" +3896,"Husein Sastranegara","Bandung","Indonesia","BDO","WICC",-6.900625,107.576294,2436,7,"N","Asia/Jakarta" +3897,"Penggung","Cirebon","Indonesia","CBN","WICD",-6.756144,108.539672,89,7,"N","Asia/Jakarta" +3898,"Adi Sutjipto","Yogyakarta","Indonesia","JOG","WARJ",-7.788181,110.431758,350,7,"N","Asia/Jakarta" +3899,"Tunggul Wulung","Cilacap","Indonesia","CXP","WIHL",-7.645056,109.033911,69,7,"N","Asia/Jakarta" +3900,"Pondok Cabe","Jakarta","Indonesia","PCB","WIHP",-6.336964,106.764561,200,7,"N","Asia/Jakarta" +3901,"Achmad Yani","Semarang","Indonesia","SRG","WARS",-6.971447,110.374122,13,7,"N","Asia/Jakarta" +3903,"Hang Nadim","Batam","Indonesia","BTH","WIDD",1.121028,104.118753,126,7,"N","Asia/Jakarta" +3904,"H As Hanandjoeddin","Tanjung Pandan","Indonesia","TJQ","WIOD",-2.745722,107.754917,164,7,"N","Asia/Jakarta" +3905,"Depati Amir","Pangkal Pinang","Indonesia","PGK","WIPK",-2.1622,106.139064,109,7,"N","Asia/Jakarta" +3906,"Kijang","Tanjung Pinang","Indonesia","TNJ","WIDN",0.922683,104.532311,52,7,"N","Asia/Jakarta" +3907,"Dabo","Singkep","Indonesia","SIQ","WIDS",-0.479189,104.579283,95,7,"N","Asia/Jakarta" +3908,"Syamsudin Noor","Banjarmasin","Indonesia","BDJ","WAOO",-3.442356,114.762553,66,8,"N","Asia/Makassar" +3909,"Batu Licin","Batu Licin","Indonesia","","WAOC",-3.412408,115.995136,3,8,"N","Asia/Makassar" +3910,"Iskandar","Pangkalan Bun","Indonesia","PKN","WAOI",-2.705197,111.673208,75,7,"N","Asia/Jakarta" +3911,"Tjilik Riwut","Palangkaraya","Indonesia","PKY","WAOP",-2.225128,113.942661,82,7,"N","Asia/Jakarta" +6822,"Militaerlager","S-Chanf","Switzerland","",\N,46.6166,9.9833,5100,1,"U","Europe/Zurich" +3913,"Wai Oti","Maumere","Indonesia","MOF","WATC",-8.640647,122.236889,115,8,"N","Asia/Makassar" +3914,"H Hasan Aroeboesman","Ende","Indonesia","ENE","WATE",-8.849294,121.660644,49,8,"N","Asia/Makassar" +3915,"Satar Tacik","Ruteng","Indonesia","RTG","WATG",-8.597011,120.477061,3510,8,"N","Asia/Makassar" +3916,"El Tari","Kupang","Indonesia","KOE","WATT",-10.171583,123.671136,335,8,"N","Asia/Makassar" +3917,"Mutiara Ii","Labuhan Bajo","Indonesia","LBJ","WATO",-8.486656,119.88905,66,8,"N","Asia/Makassar" +3919,"Sepinggan","Balikpapan","Indonesia","BPN","WALL",-1.268272,116.894478,12,8,"N","Asia/Makassar" +3920,"Juwata","Taraken","Indonesia","TRK","WALR",3.326694,117.565569,20,8,"N","Asia/Makassar" +3921,"Temindung","Samarinda","Indonesia","SRI","WALS",-0.484531,117.157111,33,8,"N","Asia/Makassar" +3922,"Tanjung Santan","Tanjung Santan","Indonesia","","WALT",-0.093215,117.439292,121,8,"N","Asia/Makassar" +3923,"Selaparang","Mataram","Indonesia","AMI","WADA",-8.560708,116.094656,52,8,"N","Asia/Makassar" +3924,"Muhammad Salahuddin","Bima","Indonesia","BMU","WADB",-8.539647,118.687322,3,8,"N","Asia/Makassar" +6799,"Krems Langenlois","Krems","Austria","","LOAG",48.446075,15.631243,1022,1,"E","Europe/Vienna" +3927,"Mau Hau","Waingapu","Indonesia","WGP","WADW",-9.669217,120.302006,33,8,"N","Asia/Makassar" +3928,"Juanda","Surabaya","Indonesia","SUB","WARR",-7.379831,112.786858,9,7,"N","Asia/Jakarta" +3929,"Adi Sumarmo Wiryokusumo","Solo City","Indonesia","SOC","WARQ",-7.516089,110.756892,421,7,"N","Asia/Jakarta" +3931,"Chiang Mai Intl","Chiang Mai","Thailand","CNX","VTCC",18.766847,98.962644,1036,7,"U","Asia/Bangkok" +3932,"Chiang Rai Intl","Chiang Rai","Thailand","CEI","VTCT",19.952342,99.882928,1280,7,"U","Asia/Bangkok" +3933,"Nakhon Si Thammarat","Nakhon Si Thammarat","Thailand","NST","VTSF",8.539617,99.944725,13,7,"U","Asia/Bangkok" +3940,"Bali Ngurah Rai","Denpasar","Indonesia","DPS","WADD",-8.748169,115.167172,14,8,"N","Asia/Makassar" +3935,"Nakhon Ratchasima","Nakhon Ratchasima","Thailand","NAK","VTUQ",14.949497,102.312736,765,7,"U","Asia/Bangkok" +3936,"Nakhon Phanom","Nakhon Phanom","Thailand","KOP","VTUW",17.383794,104.643022,587,7,"U","Asia/Bangkok" +3937,"Ubon Ratchathani","Ubon Ratchathani","Thailand","UBP","VTUU",15.251278,104.870231,406,7,"U","Asia/Bangkok" +3938,"Khon Kaen","Khon Kaen","Thailand","KKC","VTUK",16.466628,102.783661,670,7,"U","Asia/Bangkok" +3939,"Sukhothai","Sukhothai","Thailand","THS","VTPO",17.237992,99.818183,179,7,"U","Asia/Bangkok" +3941,"Eleftherios Venizelos Intl","Athens","Greece","ATH","LGAV",37.936358,23.944467,308,2,"E","Europe/Athens" +3942,"Chubu Centrair Intl","Nagoya","Japan","NGO","RJGG",34.858414,136.805408,15,9,"U","Asia/Tokyo" +3943,"Kobe","Kobe","Japan","UKB","RJBE",34.632778,135.223889,22,9,"U","Asia/Tokyo" +3944,"Pullman-Moscow Rgnl","Pullman","United States","PUW","KPUW",46.743861,-117.109583,2556,-8,"A","America/Los_Angeles" +3945,"Lewiston Nez Perce Co","Lewiston","United States","LWS","KLWS",46.3745,-117.015389,1442,-8,"A","America/Los_Angeles" +3946,"Elmira Corning Rgnl","Elmira","United States","ELM","KELM",42.159889,-76.891611,954,-5,"A","America/New_York" +3947,"Ithaca Tompkins Rgnl","Ithaca","United States","ITH","KITH",42.491028,-76.458444,1099,-5,"A","America/New_York" +3948,"Monterey Peninsula","Monterey","United States","MRY","KMRY",36.587,-121.842944,257,-8,"A","America/Los_Angeles" +3949,"Santa Barbara Muni","Santa Barbara","United States","SBA","KSBA",34.426211,-119.840372,10,-8,"A","America/Los_Angeles" +3950,"Daytona Beach Intl","Daytona Beach","United States","DAB","KDAB",29.179917,-81.058056,34,-5,"A","America/New_York" +8421,"Taoyuan Station","Zhongli","Taiwan","",\N,25.013092,121.215216,250,8,"N","Asia/Taipei" +3952,"Liepaja Intl","Liepaja","Latvia","LPX","EVLA",56.5175,21.096944,16,2,"E","Europe/Riga" +3953,"Riga Intl","Riga","Latvia","RIX","EVRA",56.923611,23.971111,34,2,"E","Europe/Riga" +3954,"Siauliai Intl","Siauliai","Lithuania","SQQ","EYSA",55.893886,23.394975,443,2,"E","Europe/Vilnius" +3955,"Barysiai","Barysiai","Lithuania","HLJ","EYSB",56.070556,23.558056,270,2,"E","Europe/Vilnius" +3956,"Kaunas Intl","Kaunas","Lithuania","KUN","EYKA",54.963919,24.084778,256,2,"E","Europe/Vilnius" +3957,"S. Darius","Kaunas","Lithuania","","EYKS",54.879792,23.881511,246,2,"E","Europe/Vilnius" +3958,"Palanga Intl","Palanga","Lithuania","PLQ","EYPA",55.973228,21.093856,33,2,"E","Europe/Vilnius" +3959,"Vilnius Intl","Vilnius","Lithuania","VNO","EYVI",54.634133,25.285767,646,2,"E","Europe/Vilnius" +3960,"Pajuostis","Panevezys","Lithuania","PNV","EYPP",55.729444,24.460833,197,2,"E","Europe/Vilnius" +3962,"Erebuni","Yerevan","Armenia","","UDYE",40.122114,44.464992,2948,4,"E","Asia/Yerevan" +3963,"Stepanavan","Stepanavan","Armenia","","UDLS",41.04845,44.337172,4836,4,"E","Asia/Yerevan" +3964,"Zvartnots","Yerevan","Armenia","EVN","UDYZ",40.147275,44.395881,2838,4,"E","Asia/Yerevan" +3965,"Gyumri","Gyumri","Armenia","LWN","UDSG",40.750369,43.859342,5000,4,"E","Asia/Yerevan" +3966,"Assab Intl","Assab","Eritrea","ASA","HHSB",13.071783,42.645006,46,3,"U","Africa/Asmera" +3967,"Asmara Intl","Asmara","Eritrea","ASM","HHAS",15.291853,38.910667,7661,3,"U","Africa/Asmera" +3968,"Massawa Intl","Massawa","Eritrea","MSW","HHMS",15.669989,39.370103,194,3,"U","Africa/Asmera" +3969,"Yasser Arafat Intl","Gaza","Palestine","GZA","LVGZ",31.246389,34.276111,320,2,"U","Asia/Gaza" +3974,"Riyan","Mukalla","Yemen","RIY","OYRN",14.662639,49.375028,54,3,"U","Asia/Aden" +3971,"Batumi","Batumi","Georgia","BUS","UGSB",41.610278,41.599694,105,4,"N","Asia/Tbilisi" +3972,"Kopitnari","Kutaisi","Georgia","KUT","UGKO",42.176653,42.482583,223,4,"N","Asia/Tbilisi" +3973,"Tbilisi","Tbilisi","Georgia","TBS","UGTB",41.669167,44.954722,1624,4,"N","Asia/Tbilisi" +3975,"Taiz Intl","Taiz","Yemen","TAI","OYTZ",13.685964,44.139056,4838,3,"U","Asia/Aden" +3976,"Hodeidah Intl","Hodeidah","Yemen","HOD","OYHD",14.753,42.976336,41,3,"U","Asia/Aden" +3977,"Aden Intl","Aden","Yemen","ADE","OYAA",12.829542,45.028792,7,3,"U","Asia/Aden" +3978,"Ataq","Ataq","Yemen","AXK","OYAT",14.551322,46.826183,3735,3,"U","Asia/Aden" +3979,"Al Ghaidah Intl","Al Ghaidah Intl","Yemen","AAY","OYGD",16.191667,52.175,134,3,"U","Asia/Aden" +3980,"Sanaa Intl","Sanaa","Yemen","SAH","OYSN",15.476258,44.219739,7216,3,"U","Asia/Aden" +3986,"Allgau","Memmingen","Germany","FMM","EDJA",47.988758,10.2395,2077,1,"E","Europe/Berlin" +3982,"Beihan","Beihan","Yemen","BHN","OYBN",14.781972,45.720083,3800,3,"U","Asia/Aden" +6863,"RK Heliplex","Panorama","Canada","",\N,50.2735,-116.14,358,-7,"A","America/Edmonton" +3984,"Socotra Intl","Socotra","Yemen","SCT","OYSQ",12.630672,53.905778,146,3,"U","Asia/Aden" +3985,"Al Badie","Al Badie","Yemen","","OYBA",18.719311,50.836911,908,3,"U","Asia/Aden" +3987,"Kapadokya","Nevsehir","Turkey","NAV","LTAZ",38.771867,34.53455,3100,2,"E","Europe/Istanbul" +3988,"Ministro Pistarini","Buenos Aires","Argentina","EZE","SAEZ",-34.822222,-58.535833,67,-3,"N","America/Cordoba" +3989,"Erbil Intl","Erbil","Iraq","EBL","ORER",36.237611,43.963158,1341,3,"U","Asia/Baghdad" +3990,"Emerald","Emerald","Australia","EMD","YEML",-23.5675,148.179167,624,10,"O","Australia/Brisbane" +3991,"Ellinikon International Airport","Athens","Greece","","LGAT",37.5354,23.4346,68,2,"E","Europe/Athens" +3992,"Kansai","Osaka","Japan","KIX","RJBB",34.4347222,135.244167,49,9,"U","Asia/Tokyo" +3993,"Wall Street Heliport","New York","United States","JRB","KJRB",40.701214,-74.009028,7,-5,"A","America/New_York" +3994,"Tagbilaran","Tagbilaran","Philippines","TAG","RPVT",9.66408056,123.853247,38,8,"N","Asia/Manila" +3995,"Ilulissat","Ilulissat","Greenland","JAV","BGJN",69.23444,-51.05111,2,-3,"E","America/Godthab" +3996,"Qasigiannguit","Qasigiannguit","Greenland","JCH","BGCH",68.833336,-51,2,-3,"E","America/Godthab" +3997,"Aasiaat","Aasiaat","Greenland","JEG","BGEM",68.7,-52.75,2,-3,"E","America/Godthab" +3998,"Son Sant Joan","Palma de Mallorca","Spain","PMI","LEPA",39.55361,2.727778,24,1,"E","Europe/Madrid" +3999,"Darwin Intl","Darwin","Australia","DRW","YPDN",-12.4083333,130.87266,103,9.5,"N","Australia/Darwin" +4000,"Surat Thani","Surat Thani","Thailand","URT","VTSB",9.1325,99.135556,286,7,"U","Asia/Bangkok" +4001,"Bagan Intl","Nyuang U","Burma","NYU","VYBR",21.173833266,94.9246666,290,6.5,"U","Asia/Rangoon" +4002,"Godofredo P","Caticlan","Philippines","MPH","RPXE",11.9214999,121.953,20,8,"N","Asia/Manila" +4003,"Bimini North Seaplane Base","Bimini","Bahamas","NSB",\N,25.767,-79.25,0,-5,"U","America/Nassau" +4004,"Talkeetna","Talkeetna","United States","TKA","PATK",62.3205,-150.093694,358,-9,"A","America/Anchorage" +4005,"Xewkija Heliport","Gozo","Malta","GZM","LMMG",36.027222,14.272778,300,1,"E","Europe/Malta" +4006,"Tweed-New Haven Airport","New Haven","United States","HVN","KHVN",41.26375,-72.886806,14,-5,"A","America/New_York" +4007,"Asheville Regional Airport","Asheville","United States","AVL","KAVL",35.436194,-82.541806,2165,-5,"A","America/New_York" +4008,"Piedmont Triad","Greensboro","United States","GSO","KGSO",36.09775,-79.937306,925,-5,"A","America/New_York" +4009,"Sioux Falls","Sioux Falls","United States","FSD","KFSD",43.582014,-96.741914,1429,-6,"A","America/Chicago" +4010,"Ayers Rock","Uluru","Australia","AYQ","YAYE",-25.186111,130.975556,1626,9.5,"N","Australia/Darwin" +4011,"Manchester Regional Airport","Manchester NH","United States","MHT","KMHT",42.932556,-71.435667,266,-5,"A","America/New_York" +4012,"Naples Muni","Naples","United States","APF","KAPF",26.152619,-81.775294,8,-5,"A","America/New_York" +4013,"Redang","Redang","Malaysia","RDN","WMPR",5.76528,103.007,10,8,"N","Asia/Kuala_Lumpur" +4014,"Louisville International Airport","Louisville","United States","SDF","KSDF",38.1740858,-85.7364989,501,-5,"A","America/New_York" +4015,"Charlottesville-Albemarle","Charlottesville VA","United States","CHO","KCHO",38.138639,-78.452861,639,-5,"A","America/New_York" +4016,"Roanoke Regional","Roanoke VA","United States","ROA","KROA",37.325472,-79.975417,1175,-5,"A","America/New_York" +4017,"Blue Grass","Lexington KY","United States","LEX","KLEX",38.0365,-84.605889,979,-5,"A","America/New_York" +4018,"Evansville Regional","Evansville","United States","EVV","KEVV",38.036997,-87.532364,418,-6,"A","America/Chicago" +4019,"Albuquerque International Sunport","Albuquerque","United States","ABQ","KABQ",35.0402222,-106.6091944,5355,-7,"A","America/Denver" +4020,"Gallatin Field","Bozeman","United States","BZN","KBZN",45.777643,-111.160151,4500,-7,"A","America/Denver" +4021,"Billings Logan International Airport","Billings","United States","BIL","KBIL",45.80921,-108.537654,3652,-7,"A","America/Denver" +4022,"Bert Mooney Airport","Butte","United States","BTM","KBTM",45.954806,-112.497472,5550,-7,"A","America/Denver" +4023,"Cherry Capital Airport","Traverse City","United States","TVC","KTVC",44.741445,-85.582235,624,-5,"A","America/New_York" +4024,"Mundo Maya International","Flores","Guatemala","FRS","MGTK",16.913819,-89.866383,427,-6,"U","America/Guatemala" +4025,"Hancock County - Bar Harbor","Bar Harbor","United States","BHB","KBHB",44.4497689,-68.3615653,83,-5,"A","America/New_York" +4026,"Knox County Regional Airport","Rockland","United States","RKD","KRKD",44.0601111,-69.0992303,56,-5,"A","America/New_York" +4027,"Jackson Hole Airport","Jacksn Hole","United States","JAC","KJAC",43.607333333,-110.73775,6451,-7,"A","America/Denver" +4028,"Chicago Rockford International Airport ","Rockford","United States","RFD","KRFD",42.1953611,-89.0972222,742,-6,"A","America/Chicago" +4029,"Domododevo","Moscow","Russia","DME","UUDD",55.408611,37.906111,588,4,"N","Europe/Moscow" +4030,"Phoenix International","Sanya","China","SYX","ZJSY",18.302897,109.412272,92,8,"U","Asia/Chongqing" +4031,"Milford Sound Airport","Milford Sound","New Zealand","MFN","NZMF",-44.67333,167.92333,10,12,"Z","Pacific/Auckland" +4032,"East 34th Street Heliport","New York","United States","TSS","NONE",40.7425,-73.971944,10,-5,"A","America/New_York" +4033,"Lijiang Airport","Lijiang","China","LJG","ZPLJ",26.883333,100.23333,7923,8,"U","Asia/Chongqing" +4034,"Greenville-Spartanburg International","Greenville","United States","GSP","KGSP",34.895556,-82.218889,964,-5,"A","America/New_York" +4035,"Cologne Railway","Cologne","Germany","QKL",\N,50.9425,6.958056,100,1,"E","Europe/Berlin" +4036,"Stuttgart Railway Station","Stuttgart","Germany","ZWS",\N,48.783611,9.181667,200,1,"E","Europe/Berlin" +4037,"Central Illinois Rgnl","Bloomington","United States","BMI","KBMI",40.477111,-88.915917,871,-6,"A","America/Chicago" +4038,"Gulfport-Biloxi","Gulfport","United States","GPT","KGPT",30.407278,-89.070111,28,-6,"A","America/Chicago" +4039,"Kalamazoo","Kalamazoo","United States","AZO","KAZO",42.234875,-85.552058,874,-5,"A","America/New_York" +4040,"Toledo","Toledo","United States","TOL","KTOL",41.586806,-83.807833,684,-5,"A","America/New_York" +4041,"Fort Wayne","Fort Wayne","United States","FWA","KFWA",40.978472,-85.195139,815,-5,"A","America/New_York" +4042,"Decatur","Decatur","United States","DEC","KDEC",39.834564,-88.865689,682,-6,"A","America/Chicago" +4043,"Cedar Rapids","Cedar Rapids","United States","CID","KCID",41.884694,-91.710806,869,-6,"A","America/Chicago" +4044,"La Crosse Municipal","La Crosse","United States","LSE","KLSE",43.878986,-91.256711,654,-6,"A","America/Chicago" +4045,"Central Wisconsin","Wassau","United States","CWA","KCWA",44.772726,-89.646635,840,-6,"A","America/Chicago" +4046,"Peoria Regional","Peoria","United States","PIA","KPIA",40.664203,-89.693258,660,-6,"A","America/Chicago" +4047,"Appleton","Appleton","United States","ATW","KATW",44.257526,-88.507576,680,-6,"A","America/Chicago" +4048,"Rochester","Rochester","United States","RST","KRST",43.908283,-92.500014,1317,-6,"A","America/Chicago" +4049,"Champaign","Champaign","United States","CMI","KCMI",40.03925,-88.278056,754,-6,"A","America/Chicago" +4050,"Manhattan Reigonal","Manhattan","United States","MHK","KMHK",39.140972,-96.670833,1057,-6,"A","America/Chicago" +4051,"Kingscote Airport","Kingscote","Australia","KGC","YKSC",-35.713889,137.521389,24,9.5,"O","Australia/Adelaide" +4052,"Hervey Bay Airport","Hervey Bay","Australia","HVB","YHBA",-25.318889,152.880278,60,10,"O","Australia/Brisbane" +4053,"EuroAirport Basel-Mulhouse-Freiburg","Basel","Switzerland","BSL",\N,47.59,7.529167,885,1,"E","Europe/Paris" +4054,"Dali","Dali","China","DLU","ZPDL",25.649444,100.319444,6978,8,"U","Asia/Chongqing" +4055,"Jinghong","Jinghong","China","JHG",\N,21.973914,100.759611,1815,8,"U","Asia/Chongqing" +4056,"Mulu","Mulu","Malaysia","MZV",\N,4.048333,114.805,80,8,"N","Asia/Kuala_Lumpur" +4057,"Sharm El Sheikh Intl","Sharm El Sheikh","Egypt","SSH","HESH",27.977222,34.394722,143,2,"N","Africa/Cairo" +4058,"Franklin","Franklin","United States","FKL","KFKL",41.377874,-79.860362,1540,-5,"A","America/New_York" +4059,"Jomo Kenyatta International","Nairobi","Kenya","NBO","HKJK",-1.319167,36.9275,5327,3,"N","Africa/Nairobi" +4060,"Seronera","Seronera","Tanzania","SEU","HTSN",-2.458056,34.8225,5080,3,"U","Africa/Dar_es_Salaam" +4061,"El Calafate","El Calafate","Argentina","FTE","SAWC",-50.280322,-72.053103,669,-3,"N","America/Cordoba" +4062,"Armidale","Armidale","Australia","ARM","YARM",-30.528056,151.617222,3556,10,"O","Australia/Sydney" +4063,"Grand Junction Regional","Grand Junction","United States","GJT","KGJT",39.122413,-108.526735,4858,-7,"A","America/Denver" +4064,"St George Muni","Saint George","United States","SGU","KSGU",37.090583,-113.593056,2941,-7,"A","America/Denver" +4065,"David Wayne Hooks Field","Houston","United States","DWH","KDWH",30.063746,-95.554276,152,-6,"A","America/Chicago" +4066,"Port O\\'Connor Airfield","Port O\\'Connor","United States","S46","XS46",28.429977,-96.442859,10,-6,"A","America/Chicago" +4067,"Sarasota Bradenton Intl","Sarasota","United States","SRQ","KSRQ",27.395444,-82.554389,30,-5,"A","America/New_York" +4071,"Van Nuys","Van Nuys","United States","VNY","KVNY",34.209811,-118.489972,802,-8,"A","America/Los_Angeles" +4069,"Bermuda Intl","Bermuda","Bermuda","BDA","TXKF",32.364042,-64.678703,12,-4,"A","Atlantic/Bermuda" +4070,"Arthur Dunn Airpark","Titusville","United States","X21",\N,28.622552,-80.83541,30,-5,"A","America/New_York" +4072,"Quad City Intl","Moline","United States","MLI","KMLI",41.448528,-90.507539,590,-6,"A","America/Chicago" +4073,"Panama City Bay Co Intl","Panama City","United States","PFN","KPFN",30.212083,-85.682806,20,-6,"A","America/Chicago" +4074,"Honiara International","Honiara","Solomon Islands","HIR","AGGH",-9.428,160.054789,28,11,"U","Pacific/Guadalcanal" +4075,"Faa\\'a International","Papeete","French Polynesia","PPT","NTAA",-17.556667,-149.611389,7,-10,"U","Pacific/Tahiti" +4076,"Nauru Intl","Nauru","Nauru","INU","ANYN",-0.547458,166.9191,22,12,"U","Pacific/Nauru" +4077,"Funafuti International","Funafuti","Tuvalu","FUN","NGFU",-8.525,179.196389,9,12,"U","Pacific/Funafuti" +4078,"Tolmachevo","Novosibirsk","Russia","OVB","UNNT",55.012622,82.650656,365,7,"N","Asia/Omsk" +4079,"Orlando","Orlando","United States","DWS",\N,28.398,-81.57,340,-5,"A","America/New_York" +4080,"Stavns","Samsoe","Denmark","","EKSS",55.89,10.62,1,1,"E","Europe/Copenhagen" +4081,"Xieng Khouang","Phon Savan","Laos","XKH","VLXK",19.449997,103.158333,3445,7,"U","Asia/Vientiane" +4082,"Phu Bai","Hue","Vietnam","HUI",\N,16.401499,107.702614,48,7,"U","Asia/Saigon" +4083,"Bismarck Municipal Airport","Bismarck","United States","BIS","KBIS",46.775842,-100.757931,1661,-6,"A","America/Chicago" +4084,"Telluride","Telluride","United States","TEX","KTEX",37.953759,-107.90848,9078,-7,"A","America/Denver" +4085,"Yinchuan","Yinchuan","China","INC","ZLIC",38.481944,106.009167,3600,8,"U","Asia/Chongqing" +4086,"Mae Hong Son","Mae Hong Son","Thailand","HGN","VTCH",19.301667,97.975,929,7,"U","Asia/Bangkok" +4087,"Rapid City Regional Airport","Rapid City","United States","RAP","KRAP",44.045278,-103.057222,3204,-7,"A","America/Denver" +4088,"McClellan-Palomar Airport","Carlsbad","United States","CLD","KCRQ",33.0742,-117.1648,328,-8,"A","America/Los_Angeles" +4089,"Bishop International","Flint","United States","FNT","KFNT",42.965424,-83.743629,782,-5,"A","America/New_York" +4090,"Francisco Bangoy International","Davao","Philippines","DVO","RPMD",7.125522,125.645778,59,8,"N","Asia/Manila" +4091,"Madeira","Funchal","Portugal","FNC","LPMA",32.697889,-16.774453,192,0,"E","Europe/Lisbon" +4092,"Santarem","Santarem","Brazil","STM","SBSN",-2.422431,-54.792789,198,-4,"S","America/Boa_Vista" +4093,"Sihanoukville","Sihanoukville","Cambodia","KOS","VDSV",10.579686,103.636828,33,7,"N","Asia/Phnom_Penh" +4094,"Ekati","Ekati","Canada","YOA","CYOA",64.698889,-110.614722,1540,-7,"A","America/Edmonton" +4095,"Napier","NAPIER","New Zealand","NPE","NZNR",-39.465833,176.87,6,12,"Z","Pacific/Auckland" +4096,"Levuka Airfield","Levuka","Fiji","LEV","NFNB",-17.68333,178.83333,11,12,"N","Pacific/Fiji" +4097,"Lhasa-Gonggar","Lhasa","China","LXA","ZULS",29.297778,90.911944,13136,8,"U","Asia/Chongqing" +4098,"Redding Muni","Redding","United States","RDD","KRDD",40.509,-122.293389,504,-8,"A","America/Los_Angeles" +4099,"Mahlon Sweet Fld","Eugene","United States","EUG","KEUG",44.124583,-123.211972,374,-8,"A","America/Los_Angeles" +4100,"Idaho Falls Rgnl","Idaho Falls","United States","IDA","KIDA",43.514556,-112.07075,4744,-7,"A","America/Denver" +4101,"Rogue Valley Intl Medford","Medford","United States","MFR","KMFR",42.374228,-122.8735,1335,-8,"A","America/Los_Angeles" +4102,"Kaikoura","Kaikoura","New Zealand","KBZ","NZKI",-42.416668,173.68333,19,12,"Z","Pacific/Auckland" +4103,"Roberts Fld","Redmond-Bend","United States","RDM","KRDM",44.254066,-121.149964,3077,-8,"A","America/Los_Angeles" +4104,"Koromiko","Picton","New Zealand","PCN","NZPN",-41.348333,173.955278,60,12,"Z","Pacific/Auckland" +4105,"Windhoek Hosea Kutako International Airport ","Windhoek","Namibia","WDH","FYWV",-22.486667,17.4625,5640,1,"S","Africa/Windhoek" +4106,"Victoria Inner Harbour Airport","Victoria","Canada","YWH","CYWH",48.422778,-123.3875,0,-8,"A","America/Vancouver" +4107,"Vancouver Coal Harbour","Vancouver","Canada","CXH","CAQ3",49.289722,-123.115833,0,-8,"A","America/Vancouver" +4108,"Jinan","Jinan","China","TNA","ZSJN",36.857214,117.215992,76,8,"U","Asia/Chongqing" +4109,"Changzhou","Changzhou","China","CZX","ZSCG",31.941667,119.711667,39,8,"U","Asia/Chongqing" +4110,"Yibin","Yibin","China","YBP","ZUYB",28.800278,104.544444,1000,8,"U","Asia/Chongqing" +4111,"Roschino","Tyumen","Russia","TJM","USTR",57.189567,65.3243,378,6,"N","Asia/Yekaterinburg" +4112,"Akron Canton Regional Airport","Akron","United States","CAK","KCAK",40.9160833,-81.4421944,1228,-5,"A","America/New_York" +4113,"Huntsville International Airport-Carl T Jones Field","Huntsville","United States","HSV","KHSV",34.6371944,-86.7750556,629,-6,"A","America/Chicago" +4114,"Mid-Ohio Valley Regional Airport","PARKERSBURG","United States","PKB","KPKB",39.3451039,-81.4392031,858,-5,"A","America/New_York" +4115,"Montgomery Regional Airport ","MONTGOMERY","United States","MGM","KMGM",32.3006389,-86.3939722,221,-6,"A","America/Chicago" +4116,"Tri-Cities Regional Airport","BRISTOL","United States","TRI","KTRI",36.4752222,-82.4074167,1519,-5,"A","America/New_York" +4117,"Barkley Regional Airport","PADUCAH","United States","PAH","KPAH",37.0602875,-88.7729583,410,-6,"A","America/Chicago" +4118,"Kurumoch","Samara","Russia","KUF",\N,53.5,50.15,0,4,"N","Europe/Moscow" +4119,"Ambouli International Airport","Djibouti","Djibouti","JIB","HDAM",11.5472,43.1594,49,3,"U","Africa/Djibouti" +4120,"Meilan","Haikou","China","HAK","ZJHK",19.934856,110.458961,75,8,"U","Asia/Chongqing" +4121,"Mafia","Mafia Island","Tanzania","MFA","HTMA",-7.913889,39.665,60,3,"U","Africa/Dar_es_Salaam" +4127,"Glacier Park Intl","Kalispell","United States","FCA","KFCA",48.310472,-114.256,2977,-7,"A","America/Denver" +4123,"Mtemere Airstrip","Selous","Tanzania","","",-7.75093364715576,38.2032814025878,60,3,"U","Africa/Dar_es_Salaam" +4124,"Page Municipal Airport","Page","United States","PGA","KPGA",36.9261,-111.4483,4316,-7,"A","America/Phoenix" +4125,"Utila Airport","Utila","Honduras","UII","MHUT",16.091667,-86.8875,10,-6,"U","America/Tegucigalpa" +4126,"Santa Elena Airport","Santa Elena de Uairen","Venezuela","SNV",\N,4.554722,-61.144922,3585,-4.5,"U","America/Caracas" +4128,"Mbs Intl","Saginaw","United States","MBS","KMBS",43.532913,-84.079647,668,-5,"A","America/New_York" +4129,"Greater Binghamton Edwin A Link Fld","Binghamton","United States","BGM","KBGM",42.208689,-75.979839,1636,-5,"A","America/New_York" +4130,"Baghdad International Airport","Baghdad","Iraq","BGW","ORBI",33.262539,44.234578,114,3,"U","Asia/Baghdad" +4131,"Nan","Nan","Thailand","NNT","VTCN",18.807914,100.783419,685,7,"U","Asia/Bangkok" +4132,"Roi Et","Roi Et","Thailand","ROI","VTUV",16.116761,103.773797,451,7,"U","Asia/Bangkok" +4133,"Buri Ram","Buri Ram","Thailand","BFV","VTUO",15.229539,103.253231,590,7,"U","Asia/Bangkok" +4134,"Ranong","Ranong","Thailand","UNN",\N,9.777622,98.585483,57,7,"U","Asia/Bangkok" +4135,"Trat","Trat","Thailand","TDX","VTBO",12.274572,102.318958,105,7,"U","Asia/Bangkok" +4136,"Blythe Airport","Blythe","United States","BLH","KBLH",33.619167,-114.716889,399,-8,"A","America/Los_Angeles" +4137,"Al Asad Airbase","Al Asad","Iraq","","ORAA",33.785608,42.4412,618,3,"U","Asia/Baghdad" +4138,"Al Taqaddum Airbase","Al Taqaddum","Iraq","","ORAT",33.338053,43.597072,275,3,"U","Asia/Baghdad" +4139,"Balad Southeast Airport","Al Bakr","Iraq","","ORBD",33.940194,44.361583,161,3,"U","Asia/Baghdad" +4140,"Diosdado Macapagal International","Angeles City","Philippines","CRK","RPLC",15.185833,120.560278,484,8,"N","Asia/Manila" +4141,"Sandakan","Sandakan","Malaysia","SDK","WBKS",5.900897,118.059486,46,8,"N","Asia/Kuala_Lumpur" +4142,"Luang Namtha","Luang Namtha","Laos","LXG","VLLN",20.960556,101.4025,1968,7,"U","Asia/Vientiane" +4143,"Oudomxay","Muang Xay","Laos","ODY","VLOS",20.6827,101.994,1380,7,"N","Asia/Vientiane" +4144,"Shenyang Taoxian International Airport","Shenyang","China","SHE","ZYTX",41.3824,123.2901,198,8,"U","Asia/Chongqing" +4145,"Dongying Airport","Dongying","China","DOY","ZSDY",37.2716,118.2819,86,8,"U","Asia/Chongqing" +4146,"John A. Osborne Airport","Geralds","Montserrat","MNI","TRPG",16.791389,-62.193333,40,-4,"N","America/Montserrat" +4147,"Petersburg James A. Johnson","Petersburg","United States","PSG","PAPG",56.801667,-132.945278,105,-9,"A","America/Anchorage" +4148,"Luoyang Airport","Luoyang","China","LYA","ZHLY",34.41,112.28,210,8,"U","Asia/Chongqing" +4149,"Xuzhou Guanyin Airport","Xuzhou","China","XUZ","ZSXZ",34.16,117.11,140,8,"U","Asia/Chongqing" +4150,"Esfahan Shahid Beheshti Intl","Isfahan","Iran","IFN",\N,32.750836,51.861267,5059,3.5,"E","Asia/Tehran" +4151,"Magwe","Magwe","Burma","MWQ","VYMW",20.165453,94.941185,275,6.5,"U","Asia/Rangoon" +4152,"Khamti","Khamti","Burma","KHM","VYKI",25.988333,95.674444,6000,6.5,"U","Asia/Rangoon" +4153,"Dalat","Dalat","Vietnam","DLI","VVDL",11.75,108.367,3156,7,"U","Asia/Saigon" +4154,"Dong Hoi","Dong Hoi","Vietnam","VDH",\N,17.515,106.590556,50,7,"U","Asia/Saigon" +4155,"Rach Gia","Rach Gia","Vietnam","VKG","VVRG",9.949676,105.133659,7,7,"U","Asia/Saigon" +4156,"Ca Mau","Ca Mau","Vietnam","CAH","VVCM",9.188049,105.174721,50,7,"U","Asia/Saigon" +4157,"Chu Lai","Chu Lai","Vietnam","VCL","VVCA",15.405944,108.705889,10,7,"U","Asia/Saigon" +4158,"Dong Tac","Tuy Hoa","Vietnam","TBB","VVTH",13.04955,109.333706,20,7,"U","Asia/Saigon" +4159,"Pai","Pai","Thailand","PYY","VTCI",19.372,98.437,1271,7,"U","Asia/Bangkok" +4160,"Brac","Brac","Croatia","BWK","LDSB",43.285719,16.679719,1776,1,"E","Europe/Zagreb" +4161,"Yaounde Nsimalen","Yaounde","Cameroon","NSI","FKYS",3.722556,11.553269,2278,1,"N","Africa/Douala" +4162,"Conakry","Conakry","Guinea","CKY","GUCY",9.576889,-13.611961,72,0,"N","Africa/Conakry" +4163,"Bergrestaurant","Trogen","Switzerland","",\N,46.992094,8.390315,1800,1,"E","Europe/Zurich" +4164,"Uetliberg","Zuerich","Switzerland","",\N,47.36029,8.47805,1800,1,"E","Europe/Zurich" +4165,"Flugplatz Merzbrueck","Aachen","Germany","AAH","EDKA",50.823194,6.186389,570,1,"E","Europe/Berlin" +4166,"Baden Airpark","Karlsruhe/Baden-Baden","Germany","FKB","EDSB",48.7793,8.08048,407,1,"E","Europe/Berlin" +4167,"Orlando Sanford Intl","Sanford","United States","SFB","KSFB",28.777639,-81.237489,55,-5,"A","America/New_York" +4168,"Duong Dong Airport","Phu Quoc","Vietnam","PQC",\N,10.227025,103.967169,23,7,"U","Asia/Saigon" +4169,"John Murtha Johnstown-Cambria County Airport","Johnstown","United States","JST","KJST",40.316111,-78.833889,2284,-5,"A","America/New_York" +4170,"Lukla","Lukla","Nepal","LUA","VNLK",27.687778,86.731389,9100,5.75,"N","Asia/Katmandu" +4171,"Bhojpur","Bhojpur","Nepal","BHP","VNBJ",27.14743,87.050819,4000,5.75,"N","Asia/Katmandu" +4172,"Lamidanda","Lamidanda","Nepal","LDN","VNLD",27.253117,86.670044,4100,5.75,"N","Asia/Katmandu" +4173,"Jomsom","Jomsom","Nepal","JMO","VNJS",28.782222,83.7225,8800,5.75,"N","Asia/Katmandu" +4174,"Manang","Manang","Nepal","NGX","VNMA",28.633,84,11000,5.75,"N","Asia/Katmandu" +4175,"Phaplu","Phaplu","Nepal","PPL","VNPL",27.517,86.6,7918,5.75,"N","Asia/Katmandu" +4176,"Thamkharka","Thamkharka","Nepal","TMK",\N,27.052222,86.861944,6000,5.75,"N","Asia/Katmandu" +4177,"Rumjatar","Rumjatar","Nepal","RUM","VNRT",27.303509,86.55043,4500,5.75,"N","Asia/Katmandu" +4178,"Tulsipur","Dang","Nepal","DNP","VNDG",28.111111,82.294167,2100,5.75,"N","Asia/Katmandu" +4179,"Rukumkot","Rukumkot","Nepal","RUK","VNRK",28.627,82.195,2500,5.75,"N","Asia/Katmandu" +4180,"Jumla","Jumla","Nepal","JUM","VNJL",29.274167,82.193333,7700,5.75,"N","Asia/Katmandu" +4181,"Chaurjhari","Chaurjhari","Nepal","HRJ","VNCJ",28,83.833,4000,5.75,"N","Asia/Katmandu" +4182,"Taplejung","Taplejung","Nepal","TPJ","VNTJ",27.35,84.667,4000,5.75,"N","Asia/Katmandu" +4183,"Tumling Tar","Tumling Tar","Nepal","TMI","VNTR",27.315,87.193333,1700,5.75,"N","Asia/Katmandu" +4184,"Surkhet","Surkhet","Nepal","SKH","VNSK",28.586,81.636,2400,5.75,"N","Asia/Katmandu" +4185,"Simikot","Simikot","Nepal","IMK","VNST",29.971064,81.818932,9246,5.75,"N","Asia/Katmandu" +4186,"Dolpa","Dolpa","Nepal","DOP","VNDP",28.985718,82.819145,8200,5.75,"N","Asia/Katmandu" +4187,"Bajhang","Bajhang","Nepal","BJH","VNBG",29.53896,81.185364,4100,5.75,"N","Asia/Katmandu" +4188,"Dhangarhi","Dhangarhi","Nepal","DHI","VNDH",28.753333,80.581944,690,5.75,"N","Asia/Katmandu" +4189,"Muan","Muan","South Korea","MWX","RKJB",34.991389,126.382778,51,9,"U","Asia/Seoul" +4190,"Astypalaia","Astypalaia","Greece","JTY","LGPL",36.579886,26.375822,165,2,"E","Europe/Athens" +4191,"Ikaria","Ikaria","Greece","JIK","LGIK",37.682717,26.347061,79,2,"E","Europe/Athens" +4192,"Kalymnos Island","Kalymnos","Greece","JKL","LGKY",36.963333,26.940556,771,2,"E","Europe/Athens" +4193,"Milos","Milos","Greece","MLO","LGML",36.696111,24.4775,12,2,"E","Europe/Athens" +4194,"Naxos","Cyclades Islands","Greece","JNX","LGNX",37.080556,25.368056,10,2,"E","Europe/Athens" +4195,"Paros","Paros","Greece","PAS","LGPA",37.010278,25.127778,121,2,"E","Europe/Athens" +4196,"Kastelorizo","Kastelorizo","Greece","KZS","LGKJ",36.127777,29.566656,474,2,"E","Europe/Athens" +4197,"Marsa Alam Intl","Marsa Alam","Egypt","RMF","HEMA",25.557111,34.583711,251,2,"U","Africa/Cairo" +4198,"Niederrhein","Weeze","Germany","NRN","EDLV",51.602222,6.141944,106,1,"E","Europe/Berlin" +4199,"Busuanga","Busuanga","Philippines","USU","RPVV",12.121458,120.100031,148,8,"N","Asia/Manila" +4200,"Butuan","Butuan","Philippines","BXU","RPME",8.951322,125.477972,141,8,"N","Asia/Manila" +4201,"Dipolog","Dipolog","Philippines","DPL","RPMG",8.601261,123.334481,12,8,"N","Asia/Manila" +4202,"Laoag Intl","Laoag","Philippines","LAO","RPLI",18.178092,120.531522,25,8,"N","Asia/Manila" +4203,"Legazpi","Legazpi","Philippines","LGP","RPLP",13.157064,123.746247,66,8,"N","Asia/Manila" +4204,"Ozamis","Ozamis","Philippines","OZC","RPMO",8.178508,123.841731,75,8,"N","Asia/Manila" +6510,"Zweibruecken","Zweibruecken","Germany","ZQW",\N,49.209445,7.401323,1132,1,"E","Europe/Berlin" +4206,"Mactan Cebu Intl","Cebu","Philippines","CEB","RPVM",10.307542,123.979439,31,8,"N","Asia/Manila" +4207,"Sonderlandeplatz Norden-Norddeich","Norden","Germany","NOE","EDWS",53.632221,7.191389,3,1,"E","Europe/Berlin" +4208,"Verkehrslandeplatz Juist","Juist","Germany","JUI","EDWJ",53.681572,7.055731,6,1,"E","Europe/Berlin" +4209,"Aeroporto de Porto Seguro","Porto Seguro","Brazil","BPS","SBPS",-16.438611,-39.080833,167,-3,"S","America/Fortaleza" +4210,"Gounda Airport","Gounda","Central African Republic","GDA",\N,9.272222,21.197222,1509,1,"N","Africa/Bangui" +4211,"Heliport Hotel das Cataratas","Cataratas National Park","Brazil","",\N,-25.684,-54.44024,1000,-3,"S","America/Cordoba" +4213,"Iguatu","Iguatu","Brazil","","SNIG",-6.346639,-39.293777,699,-3,"S","America/Fortaleza" +4214,"Palmas","Palmas","Brazil","PMW","SBPJ",-10.241667,-48.35278,774,-3,"S","America/Fortaleza" +4215,"Caldas Novas","Caldas Novas","Brazil","CLV","SBCN",-17.7267,-48.6114,2247,-3,"S","America/Sao_Paulo" +4216,"Missoula Intl","Missoula","United States","MSO","KMSO",46.916306,-114.090556,3205,-7,"A","America/Denver" +4217,"Blackall","Blackall","Australia","BKQ","YBCK",-24.427778,145.428611,928,10,"O","Australia/Brisbane" +4218,"Bundaberg","Bundaberg","Australia","BDB","YBUD",-24.903889,152.318611,107,10,"O","Australia/Brisbane" +4219,"Grand Canyon National Park Airport","Grand Canyon","United States","GCN","KGCN",35.9523611,-112.1469722,6609,-7,"N","America/Phoenix" +4220,"Sugar Land Regional Airport","Sugar Land","United States","SGR","KSGR",29.62225,-95.6565278,82,-6,"A","America/Chicago" +4221,"Hayman Island Airport","Hayman Island","Australia","HIS","YHYN",-20.066668,148.86667,10,10,"O","Australia/Brisbane" +4222,"Centennial","Denver","United States","APA","KAPA",39.570129,-104.849294,5883,-7,"A","America/Denver" +4223,"Clovis Muni","Clovis","United States","CVN","KCVN",34.425139,-103.079278,4216,-7,"A","America/Denver" +4224,"Fort Stockton Pecos Co","Fort Stockton","United States","FST","KFST",30.915667,-102.916139,3011,-6,"A","America/Chicago" +4225,"Las Vegas Muni","Las Vegas","United States","LVS","KLVS",35.654222,-105.142389,6877,-7,"A","America/Denver" +4226,"West Houston","Houston","United States","IWS","KIWS",29.818194,-95.672611,111,-6,"A","America/Chicago" +4227,"La Junta Muni","La Junta","United States","LHX","KLHX",38.049719,-103.509431,4238,-7,"A","America/Denver" +4228,"Las Cruces Intl","Las Cruces","United States","LRU","KLRU",32.289417,-106.921972,4456,-7,"A","America/Denver" +4229,"Stephens Co","Breckenridge","United States","BKD","KBKD",32.719047,-98.891,1284,-6,"A","America/Chicago" +4230,"Draughon Miller Central Texas Rgnl","Temple","United States","TPL","KTPL",31.1525,-97.407778,682,-6,"A","America/Chicago" +4231,"Ozona Muni","Ozona","United States","OZA","KOZA",30.735281,-101.202972,2381,-6,"A","America/Chicago" +4232,"Hong Kong Kai Tak","Hong Kong","Hong Kong","","VHXX",22.315365,114.195349,1,8,"U","Asia/Hong_Kong" +6416,"Athen Helenikon Airport","Athens","Greece","HEW",\N,37.8933,23.7261,69,2,"E","Europe/Athens" +6415,"Waikoloa Heliport","Waikoloa Village","United States","WKL","HI07",19.9136,-155.864,109,-10,"N","Pacific/Honolulu" +4235,"Kaadedhdhoo","Kaadedhdhoo","Maldives","KDM",\N,0.4880555,72.995556,3,5,"U","Indian/Maldives" +4236,"Aklavik","Aklavik","Canada","LAK","CYKD",68.223333,-135.005833,23,-7,"A","America/Edmonton" +4237,"Deline","Deline","Canada","YWJ","CYWJ",65.1833333,-125.41666667,550,-7,"A","America/Edmonton" +4238,"Tulita","Tulita","Canada","ZFN","CZFN",64.0833333,-125.5833333,320,-7,"A","America/Edmonton" +4239,"Fort Good Hope","Fort Good Hope","Canada","YGH","CYGH",66.26666667,-128.65,215,-7,"A","America/Edmonton" +4240,"Inuvik Town","Inuvik","Canada","",\N,66.3676,-133.7594,200,-7,"A","America/Edmonton" +4241,"INAWR","Inuvik","Canada","",\N,68.3676,-133.7594,200,-7,"A","America/Edmonton" +4242,"Tanna island","Tanna","Vanuatu","TAH",\N,-19.455198,169.22394,3,11,"U","Pacific/Efate" +6509,"Sun Island","Sun Island","Maldives","",\N,3.48596289680953,72.8060746192932,0,5,"N","Indian/Maldives" +4244,"Paulatuk","Paulatuk","Canada","YPC","CYPC",62.35,-124.3333,50,-7,"A","America/Edmonton" +4246,"Nicholson Peninsula","Nicholson Peninsula","Canada","","YUCX",69.917,-128.95,1,-7,"A","America/Edmonton" +4247,"Santa Cruz","Santa Cruz","Bolivia","SRZ",\N,-17.8,-63.166667,1224,-4,"U","America/La_Paz" +4248,"Kulusuk","Kulusuk","Greenland","KUS",\N,65.566667,-37.1166667,112,-3,"E","America/Godthab" +4249,"Juancho E. Yrausquin","Saba","Netherlands Antilles","SAB","TNCS",17.645278,-63.220556,60,-4,"U","America/Curacao" +4250,"Eagle Co Rgnl","Vail","United States","EGE","KEGE",39.642556,-106.917694,6540,-7,"A","America/Denver" +4251,"Stapleton","Denver","United States","",\N,39.779255,-104.88184,5333,-7,"A","America/Denver" +4252,"Skagen","Stokmarknes","Norway","SKN","ENSK",68.580833,15.026111,11,1,"E","Europe/Oslo" +4253,"Cuyahoga County","Richmond Heights","United States","CGF","KCGF",41.565124,-81.4863555,879,-5,"A","America/New_York" +4254,"Mansfield Lahm Regional","Mansfield","United States","MFD","KMFD",40.8214167,-82.5166389,1297,-5,"A","America/New_York" +4255,"Columbus Metropolitan Airport","Columbus","United States","CSG","KCSG",32.5163333,-84.9388611,397,-5,"A","America/New_York" +4256,"Lawton-Fort Sill Regional Airport","Lawton","United States","LAW","KLAW",34.5677144,-98.4166367,1110,-6,"A","America/Chicago" +4257,"Fort Collins Loveland Muni","Fort Collins","United States","FNL","KFNL",40.451828,-105.011336,5016,-7,"A","America/Denver" +6835,"Gouvia Marina","Gouvia","Greece","",\N,39.648682,19.855771,0,2,"E","Europe/Athens" +6836,"Paxos Marina","Paxos","Greece","",\N,39.202676,20.187968,0,2,"E","Europe/Athens" +4261,"Flagstaff Pulliam Airport","Flagstaff","United States","FLG","KFLG",35.140318,-111.6692392,7015,-7,"N","America/Phoenix" +4262,"Lake Tahoe Airport","South Lake Tahoe","United States","TVL","KTVL",38.893889,-119.995278,8544,-8,"A","America/Los_Angeles" +4263,"Magic Valley Regional Airport","Twin Falls","United States","TWF","KTWF",42.481803,-114.487733,4151,-7,"A","America/Denver" +4264,"Monaco","Monaco","Monaco","MCM",\N,43.73333333,7.41666666,0,1,"E","Europe/Monaco" +4265,"Martha\\'s Vineyard","Vineyard Haven MA","United States","MVY","KMVY",41.391667,-70.615278,67,-5,"A","America/New_York" +4266,"Newport State","Newport RI","United States","UUU",\N,41.533056,-71.282222,172,-5,"A","America/New_York" +4267,"Hartness State","Springfield VT","United States","VSF",\N,43.343333,-72.517222,577,-5,"A","America/New_York" +4268,"Concord Municipal","Concord NH","United States","CON",\N,43.20267,-71.50233,342,-5,"A","America/New_York" +4269,"Sanford Regional","Sanford ME","United States","SFM",\N,43.39383,-70.708,244,-5,"A","America/New_York" +4270,"Groton New London","Groton CT","United States","GON","KGON",41.330056,-72.045139,9,-5,"A","America/New_York" +4271,"Saint Cloud Regional Airport","Saint Cloud","United States","STC","KSTC",45.546556,-94.059889,1031,-6,"A","America/Chicago" +4272,"Bagan","Bagan","Burma","BPE",\N,21.17383327,94.9246666,0,6.5,"U","Asia/Rangoon" +4273,"Golden Triangle Regional Airport","Columbus Mississippi","United States","GTR","KGTR",33.450333,-88.591361,264,-6,"A","America/Chicago" +4274,"Nizhny Novgorod","Nizhniy Novgorod","Russia","GOJ","UWGG",56.230119,43.784042,256,4,"N","Europe/Moscow" +4275,"Bowerman Field","Hoquiam","United States","HQM",\N,46.9711944,-123.9365556,18,-8,"A","America/Los_Angeles" +4276,"Erie Intl Tom Ridge Fld","Erie","United States","ERI","KERI",42.082022,-80.176217,733,-5,"A","America/New_York" +4277,"Conrad Maldives Resort","Rangali Island","Maldives","",\N,3.5833,72.7167,0,5,"U","Indian/Maldives" +4278,"Barnstable Muni Boardman Polando Fld","Barnstable","United States","HYA","KHYA",41.669336,-70.280356,55,-5,"A","America/New_York" +4279,"San Pedro","San Pedro","Belize","SPR","MZ10",17.913936,-87.971075,4,-6,"U","America/Belize" +4280,"Sedona","Sedona","United States","SDX","KSEZ",34.848628,-111.788472,4830,-7,"A","America/Phoenix" +4281,"Dry Tortugas","Dry Tortugas","United States","",\N,24.62,-82.87,5,-5,"A","America/New_York" +4282,"Dry Tortugas","Dry Tortugas","United States","",\N,24.62,24.62,5,2,"A","Africa/Tripoli" +4283,"Dry Tortugas","Dry Tortugas","United States","",\N,24.628,82.873,5,5.5,"A","Asia/Calcutta" +4284,"Morgantown Muni Walter L Bill Hart Fld","Morgantown","United States","MGW","KMGW",39.642908,-79.916314,1248,-5,"A","America/New_York" +4285,"Yeager","Charleston","United States","CRW","KCRW",38.373147,-81.593189,981,-5,"A","America/New_York" +4286,"Wilkes Barre Scranton Intl","Scranton","United States","AVP","KAVP",41.338478,-75.723403,962,-5,"A","America/New_York" +4287,"Bemidji Regional Airport","Bemidji","United States","BJI","KBJI",47.510722,-94.934722,1391,-6,"A","America/Chicago" +4288,"Heydar Aliyev","Baku","Azerbaijan","BAK",\N,40.4675,50.046667,10,4,"E","Asia/Baku" +4289,"Thangool","Biloela","Australia","THG","YTNG",-24.493889,150.576111,644,10,"O","Australia/Brisbane" +4290,"Fagali\\'i","Apia","Samoa","FGI","NSFI",-13.84861111,-171.74083333,25,13,"U","Pacific/Apia" +4291,"Ballina Byron Gateway","Ballina Byron Bay","Australia","BNK","YBNA",-28.833889,153.5625,7,10,"O","Australia/Sydney" +4292,"Hector International Airport","Fargo","United States","FAR","KFAR",46.92065,-96.8157639,902,-6,"A","America/Chicago" +4293,"Downtown","Kansas City","United States","MKC","KMKC",39.1275,-94.598889,759,-6,"A","America/Chicago" +6505,"Phoenix-Mesa Gateway","Mesa","United States","AZA","KIWA",33.307833,-111.655,1382,-7,"N","America/Phoenix" +4295,"Ratanakiri","Ratanakiri","Cambodia","RBE",\N,13.73,106.987,0,7,"U","Asia/Phnom_Penh" +4296,"Gillette-Campbell County Airport","Gillette","United States","GCC","KGCC",44.3489167,-105.5393611,4365,-7,"A","America/Denver" +4297,"Tomsk Bogashevo Airport","Tomsk","Russia","TOF","UNTT",56.380278,85.208333,597,7,"N","Asia/Omsk" +4298,"El Toro","Santa Ana","United States","NZJ","KNZJ",33.676132,-117.731164,383,-8,"A","America/Los_Angeles" +4299,"Phetchabun","Phetchabun","Thailand","PHY","VTPB",16.676028,101.195108,450,7,"U","Asia/Bangkok" +4300,"Chumphon","Chumphon","Thailand","CJM","VTSE",10.7112,99.361706,18,7,"U","Asia/Bangkok" +4301,"Jiuzhaigou Huanglong","Jiuzhaigou","China","JZH","ZUJZ",32.857,103.683,11311,8,"U","Asia/Chongqing" +4302,"Wai Sha Airport","Shantou","China","SWA","ZGOW",23.4,116.683,0,8,"U","Asia/Chongqing" +4303,"Les Ailerons","Enghien-moisselles","France","","LFFE",0,0,302,0,"E",\N +4304,"Cheddi Jagan Intl","Georgetown","Guyana","GEO","SYCJ",6.498553,-58.254119,95,-4,"U","America/Guyana" +4305,"Ciudad del Este","Ciudad del Este","Paraguay","AGT","SGES",-25.4555,-54.843592,846,-4,"S","America/Asuncion" +4306,"Ogle","Georgetown","Guyana","OGL","SYGO",6.806944,-58.104444,10,-4,"U","America/Guyana" +4307,"Kaieteur","Kaieteur","Guyana","KAI","SYKA",5.167,-59.483,750,-4,"U","America/Guyana" +4308,"Dunhuang Airport","Dunhuang","China","DNH","ZLDH",40.094,94.4818,3688,8,"U","Asia/Chongqing" +4309,"Falconara","Ancona","Italy","AOI","LIPY",43.616389,13.362222,10,1,"E","Europe/Rome" +4310,"Samjiyon","Samjiyon","South Korea","","ZZ04",41.542301,128.243571,4410,8,"U","Asia/Chongqing" +8833,"Iosco County","East Tawas","United States","ECA","K6D9",44.311,-83.422,606,-5,"A","America/New_York" +4312,"Copiapo","Copiapo","Chile","CPO","SCHA",-27,-70,1000,-4,"S","America/Santiago" +4313,"Taba Intl","Taba","Egypt","TCP","HETB",29.587778,34.778056,2415,2,"U","Africa/Cairo" +4314,"Edward Bodden Airfield","Little Cayman","Cayman Islands","LYB","MWCL",19.6591666667,-80.09083333,1,-5,"U","America/Cayman" +4315,"Bodrum - Milas","Bodrum","Turkey","BJV","LTFE",37.249,27.667,19,2,"E","Europe/Istanbul" +4316,"7 Novembre","Tabarka","Tunisia","TBJ","DTKA",36.978333,8.876389,0,1,"E","Africa/Tunis" +4317,"Sabiha Gokcen","Istanbul","Turkey","SAW","LTFJ",40.898553,29.309219,312,2,"E","Europe/Istanbul" +4318,"University Park Airport","State College Pennsylvania","United States","SCE","KUNV",40.849278,-77.848694,1239,-5,"A","America/New_York" +4319,"Broome","Broome","Australia","BME","YPBR",-17.8,122.2,56,8,"O","Australia/Perth" +4320,"Newcastle Airport","Newcastle","Australia","NTL","YWLM",-32.78,151.83,31,10,"O","Australia/Sydney" +4321,"Bakki Airport","Bakki","Iceland","","BIBA",63.55805,-20.14833,45,0,"N","Atlantic/Reykjavik" +4322,"Woerthersee International Airport","Klagenfurt","Austria","KLU","LOWK",46.642514,14.337739,452,1,"E","Europe/Vienna" +4323,"General Manuel Carlos Piar","Ciudad Guayana","Venezuela","CGU",\N,8.288527,-62.760361,472,-4.5,"U","America/Caracas" +4324,"Flugplatz Hoepen","Schneverdingen","Germany","",\N,53.1167,9.8,267,1,"E","Europe/Berlin" +4325,"Hammerfest Airport","Hammerfest","Norway","HFT","ENHF",70.679722,23.668889,799,1,"E","Europe/Oslo" +4326,"Valan","Honningsvag","Norway","HVG","ENHV",70.99,25.83,46,1,"E","Europe/Oslo" +4327,"Mehamn","Mehamn","Norway","MEH","ENMR",71.029722,27.826667,41,1,"E","Europe/Oslo" +4328,"Airport","Vadso","Norway","VDS","ENVD",70.065,29.844,127,1,"E","Europe/Oslo" +4329,"Riem","Munich","Germany","","MUCX",48.137778,11.690278,1487,1,"E","Europe/Berlin" +4330,"Imam Khomeini","Tehran","Iran","IKA","OIIE",35.416111,51.152222,3305,3.5,"E","Asia/Tehran" +4331,"Mashhad","Mashhad","Iran","MHD","OIMM",36.234,59.643,3263,3.5,"E","Asia/Tehran" +4332,"Egelsbach","Egelsbach","Germany","QEF",\N,49.9608,8.64361,384,1,"E","Europe/Berlin" +4333,"Ust-Ilimsk","Ust Ilimsk","Russia","UIK","UIBS",58.135,102.566,0,9,"N","Asia/Irkutsk" +4334,"Mudanjiang","Mudanjiang","China","MDG",\N,44.523889,129.568889,883,8,"U","Asia/Chongqing" +4335,"Key Field","Meridian","United States","MEI","KMEI",32.332624,-88.751868,297,-6,"A","America/Chicago" +4336,"Abraham Lincoln Capital","Springfield","United States","SPI","KSPI",39.8441,-89.677889,597,-6,"A","America/Chicago" +4337,"Uzundzhovo","Haskovo","Bulgaria","HKV","LB14",41.976375,25.589817,160,2,"E","Europe/Sofia" +4338,"Cortez Muni","Cortez","United States","CEZ","KCEZ",37.303,-108.628056,5918,-7,"A","America/Denver" +4339,"Yampa Valley","Hayden","United States","HDN","KHDN",40.481181,-107.21766,6602,-7,"A","America/Denver" +4340,"Gallup Muni","Gallup","United States","GUP","KGUP",35.511058,-108.789308,6472,-7,"A","America/Denver" +4341,"Liberal Muni","Liberal","United States","LBL","KLBL",37.044222,-100.95986,2885,-6,"A","America/Chicago" +4342,"Lamar Muni","Lamar","United States","LAA","KLAA",38.069694,-102.6885,3706,-7,"A","America/Denver" +4343,"Renner Fld","Goodland","United States","GLD","KGLD",39.370621,-101.698992,3656,-7,"A","America/Denver" +4344,"Yellowstone Rgnl","Cody","United States","COD","KCOD",44.520194,-109.023806,5102,-7,"A","America/Denver" +4345,"Hovden","Orsta-Volda","Norway","HOV","ENOV",62.18,6.0742,242,1,"E","Europe/Oslo" +4346,"RNAS WATTON","WATTON","United Kingdom","","EGYR",52.33,0.51,173,0,"E","Europe/London" +4347,"ISLES OF SCILLY","ST MARY\\'S","United Kingdom","ISC",\N,49.919,-6.3075,70,0,"E","Europe/London" +4348,"Springfield Branson Natl","Springfield","United States","SGF","KSGF",37.245667,-93.388639,1268,-6,"A","America/Chicago" +4349,"Framnes","Narvik","Norway","NVK","ENNK",68.435833,17.388056,97,1,"E","Europe/Oslo" +4350,"Berlevag","Berlevag","Norway","BVG","ENBV",70.866667,29,43,1,"E","Europe/Oslo" +4351,"Fornebu","Oslo","Norway","FBU","ENFB",59.883333,10.616667,56,1,"E","Europe/Oslo" +4352,"Alykel","Norilsk","Russia","NSK","UOOO",69.311053,87.332183,595,8,"N","Asia/Krasnoyarsk" +4353,"Vityazevo","Anapa","Russia","AAQ","URKA",45.002097,37.347272,174,4,"N","Europe/Moscow" +4354,"Joplin Rgnl","Joplin","United States","JLN","KJLN",37.151814,-94.498269,981,-6,"A","America/Chicago" +4355,"Lehigh Valley Intl","Allentown","United States","ABE","KABE",40.652083,-75.440806,393,-5,"A","America/New_York" +4356,"NW Arkansas Regional","Bentonville","United States","XNA","KXNA",36.2818694,-94.3068111,1287,-6,"A","America/Chicago" +4357,"Atyrau","Atyrau","Kazakhstan","GUW","UATG",47.121944,51.821389,0,5,"U","Asia/Oral" +4358,"Kzyl-Orda","Kzyl-Orda","Kazakhstan","KZO","UAOO",44.709,65.591,0,6,"U","Asia/Qyzylorda" +4359,"South Bend Rgnl","South Bend","United States","SBN","KSBN",41.708661,-86.31725,799,-5,"A","America/New_York" +4360,"Bykovo","Moscow","Russia","BKA","UUBB",55.617222,38.059999,427,4,"N","Europe/Moscow" +4361,"Chintheche","Chintheche","Malawi","","FWCC",-11.8333,34.1667,0,2,"U","Africa/Blantyre" +4362,"Talagi","Arkhangelsk","Russia","ARH","ULAA",64.360281,40.430167,19,4,"N","Europe/Moscow" +4363,"Central","Saratov","Russia","RTW","UWSS",51.334366,46.022952,152,4,"N","Europe/Moscow" +4364,"Novyi Urengoy","Novy Urengoy","Russia","NUX","USMU",66.041811,76.313938,20,6,"N","Asia/Yekaterinburg" +4365,"Noyabrsk","Noyabrsk","Russia","NOJ","USRO",63.110079,75.162243,20,6,"N","Asia/Yekaterinburg" +6508,"Washington Union Station","Washington","United States","ZWU",\N,38.89746,-77.00643,76,-5,"A","America/New_York" +4367,"Aktau","Aktau","Kazakhstan","SCO","UATE",43.86005,51.091978,21,5,"U","Asia/Oral" +4368,"Ukhta","Ukhta","Russia","UCT",\N,63.340297,53.482592,100,4,"N","Europe/Moscow" +4369,"Usinsk","Usinsk","Russia","USK",\N,66.00077,57.221113,20,4,"N","Europe/Moscow" +4370,"Pechora","Pechora","Russia","PEX",\N,65.070387,57.082045,20,4,"N","Europe/Moscow" +4371,"Naryan-Mar","Naryan-Mar","Russia","NNM","ULAM",67.380537,53.051016,20,4,"N","Europe/Moscow" +4372,"Kresty","Pskov","Russia","PKV","ULOO",57.783917,28.395614,154,4,"N","Europe/Moscow" +4373,"Kogalym International","Kogalym","Russia","KGP","USRK",62.18,74.53,220,6,"N","Asia/Yekaterinburg" +4374,"Emelyanovo","Krasnoyarsk","Russia","KJA","UNKL",56.18,92.475,940,8,"N","Asia/Krasnoyarsk" +4375,"Sary-Arka","Karaganda","Kazakhstan","KGF","UAKK",49.670833,73.334444,1765,6,"U","Asia/Qyzylorda" +4376,"Severny","Novosibirsk","Russia","","UNCC",55.1,82.9,560,7,"N","Asia/Omsk" +4377,"Uraj","Uraj","Russia","URJ","USHU",60.1,64.83,186,6,"N","Asia/Yekaterinburg" +4378,"Turkmenabat","Turkmenabat","Turkmenistan","CRZ",\N,39.083333,63.602222,630,5,"U","Asia/Ashgabat" +4379,"Yuzhny","Ivanovo","Russia","IWA","UUBI",56.939444,40.940833,410,4,"N","Europe/Moscow" +4380,"Changchun","Changchun","China","CGQ","ZYCC",43.5412,125.1201,227,8,"U","Asia/Chongqing" +4381,"Niigata","Niigata","Japan","KIJ","RJSN",37.5711,139.0646,1,9,"U","Asia/Tokyo" +4382,"Johnston Atoll","Johnston Island","Johnston Atoll","JON","PJON",16.7286,-169.534,7,-10,"U","Pacific/Johnston" +4383,"Smith Fld","Fort Wayne IN","United States","SMD","KSMD",41.143353,-85.152778,834,-5,"A","America/New_York" +4384,"Arcata","Arcata CA","United States","ACV","KACV",40.978111,-124.108611,221,-8,"A","America/Los_Angeles" +4385,"Camp Mabry Austin City","Austin TX","United States","ATT","KATT",30.31666,-97.7666,0,-6,"A","America/Chicago" +4386,"Albert J Ellis","Jacksonville NC","United States","OAJ","KOAJ",34.829164,-77.612139,94,-5,"A","America/New_York" +4387,"Tuscaloosa Rgnl","Tuscaloosa AL","United States","TCL","KTCL",33.220627,-87.611403,170,-6,"A","America/Chicago" +4388,"Dubuque Rgnl","Dubuque IA","United States","DBQ","KDBQ",42.402,-90.709472,1076,-6,"A","America/Chicago" +4389,"Forde Bringeland","Forde","Norway","FDE",\N,61.392,5.763,1034,1,"E","Europe/Oslo" +4390,"Shun Tak Heliport","Hong Kong","Hong Kong","","VHST",22.289372,114.152153,10,8,"N","Asia/Hong_Kong" +6092,"Poliarny Airport","Yakutia","Russia","PYJ","UERP",66.400431,112.030325,1660,10,"N","Asia/Yakutsk" +6090,"Nakhchivan Airport","Nakhchivan","Azerbaijan","NAJ","UBBN",39.1888,45.4584,2863,4,"E","Asia/Baku" +6089,"Ganja Airport","Ganja","Azerbaijan","KVD","UBBG",40.7377,46.3176,1083,4,"E","Asia/Baku" +6804,"Torp","Sandefjord","Norway","",\N,59.186703,10.258628,286,1,"E","Europe/Oslo" +6086,"Ust Kamenogorsk Airport","Ust Kamenogorsk","Kazakhstan","UKK","UASK",50.0366,82.4942,939,6,"U","Asia/Qyzylorda" +6084,"Petropavlosk South Airport","Petropavlosk","Kazakhstan","PPK","UACP",54.7747,69.1839,453,6,"U","Asia/Qyzylorda" +6078,"Les Bases Airport","Grand Bourg","Guadeloupe","GBJ","TFFM",15.86875,-61.270022,16,-4,"U","America/Guadeloupe" +6077,"St-François Airport","St-François","Guadeloupe","SFC","TFFC",16.2578,-61.2625,10,-4,"U","America/Guadeloupe" +6074,"Codrington Airport","Codrington","Antigua and Barbuda","BBQ","TAPH",17.6358,-61.8286,15,-4,"U","America/Antigua" +6073,"Ji-Paraná Airport","Ji-Paraná","Brazil","JPR","SWJI",-10.8708,-61.8465,598,-4,"S","America/Boa_Vista" +6071,"Escuela Mariscal Sucre Airport","Maracay","Venezuela","MYC","SVBS",10.249978,-67.649419,1338,-4.5,"U","America/Caracas" +6068,"Maria Reiche Neuman Airport","Nazca","Peru","NZA","SPZA",-14.854192,-74.961811,1860,-5,"U","America/Lima" +6066,"Mayor General FAP Armando Revoredo Iglesias Airport","Cajamarca","Peru","CJA","SPJR",-7.139183,-78.4894,8781,-5,"U","America/Lima" +6064,"Gatokae Airport","Gatokae","Solomon Islands","GTA","",-8.75,158.2,0,11,"U","Pacific/Guadalcanal" +6063,"Boorama Airport","Boorama","Somalia","BXX","",9.933,43.15,0,3,"U","Africa/Mogadishu" +6062,"Mucuri Airport","Mucuri","Brazil","MVS","SNMU",-18.0489,-39.8642,276,-3,"S","America/Fortaleza" +6061,"Zorg en Hoop Airport","Paramaribo","Suriname","ORG","SMZO",5.81108,-55.1907,10,-3,"U","America/Paramaribo" +6059,"Reyes Airport","Reyes","Bolivia","REY","SLRY",-14.3044,-67.3534,935,-4,"U","America/La_Paz" +6057,"Puerto Rico Airport","Puerto Rico/Manuripi","Bolivia","PUR","SLPR",-11.1077,-67.5512,597,-4,"U","America/La_Paz" +6055,"El Alcaraván Airport","Yopal","Colombia","EYP","SKYP",5.319114,-72.383975,1028,-5,"U","America/Bogota" +6047,"General Rivadeneira Airport","Esmeraldas","Ecuador","ESM","SETN",0.978519,-79.6266,32,-5,"U","America/Guayaquil" +6043,"Pucón Airport","Pucon","Chile","ZPC","SCPC",-39.2928,-71.9159,853,-4,"S","America/Santiago" +6041,"Toledo Airport","Toledo","Brazil","TOW","SBTD",-24.6863,-53.6975,1843,-3,"S","America/Sao_Paulo" +6040,"Santa Maria Airport","Santa Maria","Brazil","RIA","SBSM",-29.711358,-53.688153,287,-3,"S","America/Sao_Paulo" +6036,"Chapada Diamantina Airport","Lençóis","Brazil","LEC","SBLE",-12.4823,-41.277,1676,-3,"S","America/Fortaleza" +6805,"Goulburn Airport","Goulburn","Australia","GUL","YGLB",-34.8103,149.726,2141,10,"O","Australia/Sydney" +6034,"Orlando Bezerra de Menezes Airport","Juazeiro Do Norte","Brazil","JDO","SBJU",-7.218958,-39.2701,1392,-3,"S","America/Fortaleza" +6032,"Santa Teresita Airport","Santa Teresita","Argentina","SST","SAZL",-36.542317,-56.721756,9,-3,"N","America/Cordoba" +6031,"Gobernador Gregores Airport","Gobernador Gregores","Argentina","GGS","SAWR",-48.7831,-70.15,356,-3,"N","America/Cordoba" +6029,"Antoine De St Exupery Airport","San Antonio Oeste","Argentina","OES","SAVN",-40.7512,-65.0343,85,-3,"N","America/Cordoba" +6028,"Las Heras Airport","Las Heras","Argentina","LHS","SAVH",-46.533056,-68.951111,1082,-3,"N","America/Cordoba" +6027,"General Enrique Mosconi Airport","Tartagal","Argentina","TTG","SAST",-22.619167,-63.793189,1472,-3,"N","America/Cordoba" +6025,"Masbate Airport","Masbate","Philippines","MBT","RPVJ",12.3694,123.629,26,8,"N","Asia/Manila" +6024,"Catarman National Airport","Catarman","Philippines","CRM","RPVF",12.502417,124.635778,6,8,"N","Asia/Manila" +6013,"Jolo Airport","Jolo","Philippines","JOL","RPMJ",6.05367,121.011,118,8,"N","Asia/Manila" +6012,"Camiguin Airport","Camiguin","Philippines","CGM","RPMH",9.25352,124.707,53,8,"N","Asia/Manila" +6010,"Cuyo Airport","Cuyo","Philippines","CYU","RPLO",10.8581,121.069,0,8,"N","Asia/Manila" +6008,"Cheongju International Airport","Chongju","South Korea","CJJ","RKTU",36.7166,127.499119,191,9,"U","Asia/Seoul" +6007,"Sacheon Air Base","Sacheon","South Korea","HIN","RKPS",35.088543,128.07037,25,9,"U","Asia/Seoul" +6005,"Wonju Airport","Wonju","South Korea","WJU","RKNW",37.438081,127.960383,329,9,"U","Asia/Seoul" +6004,"Mokpo Airport","Mokpo","South Korea","MPK","RKJM",34.758906,126.379872,23,9,"U","Asia/Seoul" +6003,"Kunsan Air Base","Kunsan","South Korea","KUV","RKJK",35.903756,126.615906,29,9,"U","Asia/Seoul" +6002,"Miyakejima Airport","Miyakejima","Japan","MYE","RJTQ",34.0736,139.56,67,9,"U","Asia/Tokyo" +6001,"Shonai Airport","Shonai","Japan","SYO","RJSY",38.812222,139.787222,86,9,"U","Asia/Tokyo" +6000,"Odate Noshiro Airport","Odate Noshiro","Japan","ONJ","RJSR",40.1919,140.371,292,9,"U","Asia/Tokyo" +5999,"Fukushima Airport","Fukushima","Japan","FKS","RJSF",37.2274,140.431,1221,9,"U","Asia/Tokyo" +5998,"Iwami Airport","Iwami","Japan","IWJ","RJOW",34.6764,131.79,184,9,"U","Asia/Tokyo" +5997,"Nagoya Airport","Nagoya","Japan","NKM","RJNA",35.255,136.924,52,9,"U","Asia/Tokyo" +5996,"Saga Airport","Saga","Japan","HSG","RJFS",33.1497,130.302,6,9,"N","Asia/Tokyo" +5995,"Okadama Airport","Sapporo","Japan","OKD","RJCO",43.1161,141.38,25,9,"U","Asia/Tokyo" +5994,"Kushiro Airport","Kushiro","Japan","KUH","RJCK",43.041,144.193,327,9,"U","Asia/Tokyo" +5993,"Matsu Beigan Airport","Matsu Islands","Taiwan","MFK","RCMT",26.224153,120.00275,41,8,"U","Asia/Taipei" +5992,"Hengchun Airport","Hengchun","Taiwan","HCN","RCKW",22.041075,120.730208,46,8,"U","Asia/Taipei" +5991,"Matsu Nangan Airport","Matsu Islands","Taiwan","LZN","RCFG",26.1598,119.958,232,8,"U","Asia/Taipei" +5990,"Eniwetok Airport","Eniwetok Atoll","Marshall Islands","ENT","PKMA",11.34075,162.327861,13,12,"U","Pacific/Majuro" +5989,"Kalaupapa Airport","Molokai","United States","LUP","PHLU",21.211,-156.974,24,-10,"A","Pacific/Honolulu" +5988,"El Nido Airport","El Nido","Philippines","ENI","",11.202,119.417,0,8,"N","Asia/Manila" +5987,"Wipim Airport","Wipim","Papua New Guinea","WPM","",-8.78822,142.882,173,10,"U","Pacific/Port_Moresby" +5986,"Baimuru Airport","Baimuru","Papua New Guinea","VMU","",-7.49686,144.82,27,10,"U","Pacific/Port_Moresby" +5985,"Nuku Airport","Nuku","Papua New Guinea","UKU","",-3.667,142.483,750,10,"U","Pacific/Port_Moresby" +5984,"Tufi Airport","Tufi","Papua New Guinea","TFI","",-9.07595,149.32,85,10,"U","Pacific/Port_Moresby" +5983,"Suki Airport","Suki","Papua New Guinea","SKC","",-8.033,141.717,24,10,"U","Pacific/Port_Moresby" +5982,"Balimo Airport","Balimo","Papua New Guinea","OPU","",-8.05,142.933,51,10,"U","Pacific/Port_Moresby" +5981,"Obo Airport","Obo","Papua New Guinea","OBX","",-7.583,141.317,29,10,"U","Pacific/Port_Moresby" +5980,"Losuia Airport","Losuia","Papua New Guinea","LSA","",-8.50582,151.081,27,10,"U","Pacific/Port_Moresby" +5979,"Londolovit Airport","Londolovit","Papua New Guinea","LNV","",-3.04361,152.629,167,10,"U","Pacific/Port_Moresby" +5978,"Lake Murray Airport","Lake Murray","Papua New Guinea","LMY","",-7.00992,141.494,52,10,"U","Pacific/Port_Moresby" +5977,"Kamusi Airport","Kamusi","Papua New Guinea","KUY","",-7.42035,143.122,0,10,"U","Pacific/Port_Moresby" +5976,"Kokoda Airport","Kokoda","Papua New Guinea","KKD","",-8.88468,147.731,1240,10,"U","Pacific/Port_Moresby" +5975,"Kandrian Airport","Kandrian","Papua New Guinea","KDR","",-6.183,149.533,280,10,"U","Pacific/Port_Moresby" +5974,"Jacquinot Bay Airport","Jacquinot Bay","Papua New Guinea","JAQ","",-5.6525,151.507,136,10,"U","Pacific/Port_Moresby" +5973,"Nissan Island Airport","Nissan Island","Papua New Guinea","IIS","",-4.49972,154.226,52,10,"U","Pacific/Port_Moresby" +5972,"Ihu Airport","Ihu","Papua New Guinea","IHU","",-7.89756,145.396,47,10,"U","Pacific/Port_Moresby" +5971,"Gasmata Island Airport","Gasmata Island","Papua New Guinea","GMI","",-6.27111,150.331,23,10,"U","Pacific/Port_Moresby" +5970,"Tadji Airport","Aitape","Papua New Guinea","ATP","",-3.18985,142.43,48,10,"U","Pacific/Port_Moresby" +5969,"Wrangell Airport","Wrangell","United States","WRG","PAWG",56.4843,-132.37,44,-9,"A","America/Anchorage" +5968,"Chevak Airport","Chevak","United States","VAK","PAVA",61.5338,-165.584,75,-9,"A","America/Anchorage" +5967,"Aniak Airport","Aniak","United States","ANI","PANI",61.5816,-159.543,88,-9,"A","America/Anchorage" +5966,"Mountain Village Airport","Mountain Village","United States","MOU","PAMO",62.0954,-163.682,337,-9,"A","America/Anchorage" +5965,"McGrath Airport","Mcgrath","United States","MCG","PAMC",62.9529,-155.606,338,-9,"A","America/Anchorage" +5964,"Kalskag Airport","Kalskag","United States","KLG","PALG",61.5363,-160.341,55,-9,"A","America/Anchorage" +5963,"Haines Airport","Haines","United States","HNS","PAHN",59.2438,-135.524,15,-9,"A","America/Anchorage" +5962,"Holy Cross Airport","Holy Cross","United States","HCR","PAHC",62.1883,-159.775,70,-9,"A","America/Anchorage" +5961,"Skagway Airport","Skagway","United States","SGY","PAGY",59.4601,-135.316,44,-9,"A","America/Anchorage" +5960,"Gustavus Airport","Gustavus","United States","GST","PAGS",58.4253,-135.707,34,-9,"A","America/Anchorage" +5959,"Adak Airport","Adak Island","United States","ADK","PADK",51.878,-176.646,18,-9,"A","America/Anchorage" +5958,"Sambu Airport","Boca de Sábalo","Panama","SAX","",8.017,-78.2,32,-5,"U","America/Panama" +5957,"Contadora Airport","Contadora Island","Panama","OTD","",8.62876,-79.0347,14,-5,"U","America/Panama" +5956,"EL Real Airport","El Real","Panama","ELE","",8.133,-77.7,57,-5,"U","America/Panama" +5955,"Bahia Piña Airport","Bahia Piña","Panama","BFQ","",7.583,-78.2,14,-5,"U","America/Panama" +5954,"Sayun International Airport","Sayun Intl","Yemen","GXF","OYSY",15.966111,48.7883,2097,3,"U","Asia/Aden" +5953,"Kamishly Airport","Kamishly","Syria","KAC","OSKL",37.020625,41.191394,1480,2,"E","Asia/Damascus" +5952,"Sulaymaniyah International Airport","Sulaymaniyah","Iraq","ISU","ORSU",35.5608,45.3147,2494,3,"U","Asia/Baghdad" +5951,"Turbat International Airport","Turbat","Pakistan","TUK","OPTU",25.986369,63.030167,498,5,"N","Asia/Karachi" +5950,"Sehwan Sharif Airport","Sehwan Sharif","Pakistan","SYW","OPSN",26.4731,67.7172,121,5,"N","Asia/Karachi" +5949,"Skardu Airport","Skardu","Pakistan","KDU","OPSD",35.335508,75.536047,7316,5,"N","Asia/Karachi" +5948,"Parachinar Airport","Parachinar","Pakistan","PAJ","OPPC",33.9021,70.0716,5800,5,"N","Asia/Karachi" +5947,"Ormara Airport","Ormara Raik","Pakistan","ORW","OPOR",25.2747,64.586,10,5,"N","Asia/Karachi" +5946,"Khuzdar Airport","Khuzdar","Pakistan","KDD","OPKH",27.7906,66.6473,4012,5,"N","Asia/Karachi" +5945,"Hyderabad Airport","Hyderabad","Pakistan","HDD","OPKD",25.3181,68.3661,130,5,"N","Asia/Karachi" +5944,"Jiwani Airport","Jiwani","Pakistan","JIW","OPJI",25.0678,61.8054,186,5,"N","Asia/Karachi" +5943,"Dera Ismael Khan Airport","Dera Ismael Khan","Pakistan","DSK","OPDI",31.909422,70.896639,594,5,"N","Asia/Karachi" +5942,"Dera Ghazi Khan Airport","Dera Ghazi Khan","Pakistan","DEA","OPDG",29.961011,70.485925,492,5,"N","Asia/Karachi" +5941,"Dalbandin Airport","Dalbandin","Pakistan","DBA","OPDB",28.8783,64.3998,2800,5,"N","Asia/Karachi" +5940,"Chitral Airport","Chitral","Pakistan","CJL","OPCH",35.886592,71.800578,4920,5,"N","Asia/Karachi" +5939,"Bahawalpur Airport","Bahawalpur","Pakistan","BHV","OPBW",29.3481,71.717981,392,5,"N","Asia/Karachi" +5938,"Bannu Airport","Bannu","Pakistan","BNP","OPBN",32.9729,70.5279,1325,5,"N","Asia/Karachi" +5937,"Al Ain International Airport","Al Ain","United Arab Emirates","AAN","OMAL",24.261667,55.609167,869,4,"U","Asia/Dubai" +5936,"Uromiyeh Airport","Uromiyeh","Iran","OMH","OITR",37.6681,45.0687,4343,3.5,"E","Asia/Tehran" +5935,"Ardabil Airport","Ardabil","Iran","ADU","OITL",38.325678,48.424356,4315,3.5,"E","Asia/Tehran" +5934,"Lar Airport","Lar","Iran","LRR","OISL",27.674725,54.383278,2641,3.5,"E","Asia/Tehran" +5933,"Sari Dasht E Naz Airport","Dasht-e-naz","Iran","SRY","OINZ",36.635833,53.193611,35,3.5,"E","Asia/Tehran" +5932,"Noshahr Airport","Noshahr","Iran","NSH","OINN",36.663333,51.464722,-61,3.5,"E","Asia/Tehran" +5931,"Sabzevar National Airport","Sabzevar","Iran","AFZ","OIMS",36.168083,57.595183,3010,3.5,"E","Asia/Tehran" +5930,"Bojnourd Airport","Bojnourd","Iran","BJB","OIMN",37.492958,57.308219,3499,3.5,"E","Asia/Tehran" +5929,"Rafsanjan Airport","Rafsanjan","Iran","RJN","OIKR",30.297714,56.051139,5298,3.5,"E","Asia/Tehran" +5928,"Bam Airport","Bam","Iran","BXR","OIKM",29.084169,58.450042,3231,3.5,"E","Asia/Tehran" +5927,"Khoram Abad Airport","Khorram Abad","Iran","KHD","OICK",33.435378,48.282889,3782,3.5,"E","Asia/Tehran" +5926,"Wadi Al Dawasir Airport","Wadi-al-dawasir","Saudi Arabia","EWD","OEWD",20.504275,45.199556,2062,3,"U","Asia/Riyadh" +5925,"Al-Jawf Domestic Airport","Al-Jawf","Saudi Arabia","AJF","OESK",29.785133,40.100006,2261,3,"U","Asia/Riyadh" +5924,"Dawadmi Domestic Airport","Dawadmi","Saudi Arabia","DWD","OEDW",24.5,44.4,3429,3,"U","Asia/Riyadh" +6506,"Saul Airport","Saul","French Guiana","XAU","SOOS",3.61361,-53.2042,656,-3,"U","America/Cayenne" +5922,"Faizabad Airport","Faizabad","Afghanistan","FBD","OAFZ",37.1211,70.5181,3872,4.5,"U","Asia/Kabul" +5921,"ÃŽle des Pins Airport","ÃŽle des Pins","New Caledonia","ILP","NWWE",-22.5889,167.456,315,11,"U","Pacific/Noumea" +5920,"Belep Islands Airport","Waala","New Caledonia","BMY","NWWC",-19.7206,163.661,306,11,"U","Pacific/Noumea" +5919,"Tiga Airport","Tiga","New Caledonia","TGJ","NWWA",-21.0961,167.804,128,11,"U","Pacific/Noumea" +5918,"Ipota Airport","Ipota","Vanuatu","IPA","NVVI",-18.8783,169.308,23,11,"U","Pacific/Efate" +5917,"Futuna Airport","Futuna Island","Vanuatu","FTA","NVVF",-19.5164,170.232,0,11,"U","Pacific/Efate" +5916,"Dillon's Bay Airport","Dillon's Bay","Vanuatu","DLY","NVVD",-18.7694,169.001,538,11,"U","Pacific/Efate" +5915,"Aniwa Airport","Aniwa","Vanuatu","AWD","NVVB",-19.24,169.605,69,11,"U","Pacific/Efate" +5914,"Anelghowhat Airport","Anelghowhat","Vanuatu","AUY","NVVA",-20.2492,169.771,7,11,"U","Pacific/Efate" +5913,"North West Santo Airport","Olpoi","Vanuatu","OLZ","NVSZ",-14.8817,166.558,0,11,"U","Pacific/Efate" +5912,"Southwest Bay Airport","Malekula Island","Vanuatu","SWJ","NVSX",-16.495,167.438,0,11,"U","Pacific/Efate" +5911,"Valesdir Airport","Valesdir","Vanuatu","VLS","NVSV",-16.7961,168.177,10,11,"U","Pacific/Efate" +5910,"Uléi Airport","Ambryn Island","Vanuatu","ULB","NVSU",-16.333,168.283,0,11,"U","Pacific/Efate" +5909,"Tongoa Island Airport","Tongoa Island","Vanuatu","TGH","NVST",-16.8911,168.551,443,11,"U","Pacific/Efate" +5908,"Santo Pekoa International Airport","Santo","Vanuatu","SON","NVSS",-15.505033,167.219742,184,11,"U","Pacific/Efate" +5907,"Redcliffe Airport","Redcliffe","Vanuatu","RCL","NVSR",-15.472,167.835,36,11,"U","Pacific/Efate" +5906,"Gaua Island Airport","Gaua Island","Vanuatu","ZGU","NVSQ",-14.2181,167.587,0,11,"U","Pacific/Efate" +5905,"Norsup Airport","Norsup","Vanuatu","NUS","NVSP",-16.0797,167.401,23,11,"U","Pacific/Efate" +5904,"Lonorore Airport","Lonorore","Vanuatu","LNE","NVSO",-15.8656,168.172,43,11,"U","Pacific/Efate" +5903,"Naone Airport","Maewo Island","Vanuatu","MWF","NVSN",-15,168.083,0,11,"U","Pacific/Efate" +5902,"Lamen Bay Airport","Lamen Bay","Vanuatu","LNB","NVSM",-16.5842,168.159,7,11,"U","Pacific/Efate" +5901,"Lamap Airport","Lamap","Vanuatu","LPM","NVSL",-16.454,167.823,7,11,"U","Pacific/Efate" +5900,"Tavie Airport","Paama Island","Vanuatu","PBJ","NVSI",-16.439,168.257,0,11,"U","Pacific/Efate" +5899,"Sara Airport","Pentecost Island","Vanuatu","SSR","NVSH",-15.4708,168.152,0,11,"U","Pacific/Efate" +5898,"Longana Airport","Longana","Vanuatu","LOD","NVSG",-15.3067,167.967,167,11,"U","Pacific/Efate" +5897,"Craig Cove Airport","Craig Cove","Vanuatu","CCV","NVSF",-16.265,167.924,69,11,"U","Pacific/Efate" +5896,"Sangafa Airport","Sangafa","Vanuatu","EAE","NVSE",-17.0903,168.343,7,11,"U","Pacific/Efate" +5895,"Torres Airstrip","Loh/Linua","Vanuatu","TOH","NVSD",-13.328,166.638,0,11,"U","Pacific/Efate" +5894,"Sola Airport","Sola","Vanuatu","SLH","NVSC",-13.8517,167.537,7,11,"U","Pacific/Efate" +5893,"Mota Lava Airport","Ablow","Vanuatu","MTV","NVSA",-13.666,167.712,63,11,"U","Pacific/Efate" +5892,"Ua Huka Airport","Ua Huka","French Polynesia","UAH","NTMU",-8.93611,-139.552,160,-9.5,"U","Pacific/Marquesas" +5891,"Ua Pou Airport","Ua Pou","French Polynesia","UAP","NTMP",-9.35167,-140.078,16,-9.5,"U","Pacific/Marquesas" +5890,"Hiva Oa-Atuona Airport","Hiva-oa","French Polynesia","AUQ","NTMN",-9.768794,-139.011256,1481,-9.5,"U","Pacific/Marquesas" +5889,"Ahe Airport","Ahe","French Polynesia","AHE","NTHE",-14.4281,-146.257,11,-10,"U","Pacific/Tahiti" +5888,"Apataki Airport","Apataki","French Polynesia","APK","NTGD",-15.5736,-146.415,8,-10,"U","Pacific/Tahiti" +5887,"Maota Airport","Savaii Island","Samoa","MXS","NSMA",-13.733,-172.3,0,13,"U","Pacific/Apia" +5886,"Mountain Airport","Mountain","Nepal","MWP","",28,85.333,0,5.75,"N","Asia/Katmandu" +5885,"Pointe Vele Airport","Futuna Island","Wallis and Futuna","FUT","NLWF",-14.3114,-178.066,20,12,"U","Pacific/Wallis" +5884,"Niue International Airport","Alofi","Niue","IUE","NIUE",-19.080028,-169.925639,209,-11,"U","Pacific/Niue" +5883,"Vanua Balavu Airport","Vanua Balavu","Fiji","VBV","NFVB",-17.269,-178.976,76,12,"U","Pacific/Fiji" +5882,"Kuini Lavenia Airport","Niuatoputapu","Tonga","NTT","NFTP",-15.9767,-173.755,0,13,"U","Pacific/Tongatapu" +5881,"Mata'aho Airport","Angaha, Niuafo'ou Island","Tonga","NFO","NFTO",-15.5708,-175.633,160,13,"U","Pacific/Tongatapu" +5880,"Lifuka Island Airport","Lifuka","Tonga","HPA","NFTL",-19.777,-174.341,31,13,"U","Pacific/Tongatapu" +5879,"Kaufana Airport","Eua Island","Tonga","EUA","NFTE",-21.3783,-174.958,325,13,"U","Pacific/Tongatapu" +5878,"Savusavu Airport","Savusavu","Fiji","SVU","NFNS",-16.8028,179.341,17,12,"U","Pacific/Fiji" +5877,"Rotuma Airport","Rotuma","Fiji","RTA","NFNR",-12.4825,177.071,22,12,"U","Pacific/Fiji" +5876,"Koro Island Airport","Koro Island","Fiji","KXF","NFNO",-17.3458,179.422,358,12,"U","Pacific/Fiji" +5875,"Matei Airport","Matei","Fiji","TVU","NFNM",-16.6906,-179.877,60,12,"U","Pacific/Fiji" +5874,"Labasa Airport","Lambasa","Fiji","LBS","NFNL",-16.466749,179.33986,44,12,"U","Pacific/Fiji" +5873,"Lakeba Island Airport","Lakeba Island","Fiji","LKB","NFNK",-18.1992,-178.817,280,12,"U","Pacific/Fiji" +5872,"Ngau Airport","Ngau","Fiji","NGI","NFNG",-18.1156,179.34,50,12,"U","Pacific/Fiji" +5871,"Moala Airport","Moala","Fiji","MFJ","NFMO",-18.5667,179.951,13,12,"U","Pacific/Fiji" +5870,"Mana Island Airport","Mana Island","Fiji","MNF","NFMA",-17.6731,177.098,0,12,"U","Pacific/Fiji" +5869,"Vunisea Airport","Vunisea","Fiji","KDV","NFKD",-19.0581,178.157,6,12,"U","Pacific/Fiji" +5868,"Malolo Lailai Island Airport","Malolo Lailai Island","Fiji","PTF","NFFO",-17.7779,177.197,10,12,"U","Pacific/Fiji" +5867,"Cicia Airport","Cicia","Fiji","ICI","NFCI",-17.7433,-179.342,13,12,"U","Pacific/Fiji" +5866,"Penrhyn Island Airport","Penrhyn Island","Cook Islands","PYE","NCPY",-9.00667,-158.037,8,-10,"U","Pacific/Rarotonga" +5865,"Mitiaro Island Airport","Mitiaro Island","Cook Islands","MOI","NCMR",-19.8425,-157.703,25,-10,"U","Pacific/Rarotonga" +5864,"Mauke Airport","Mauke Island","Cook Islands","MUK","NCMK",-20.1361,-157.345,26,-10,"U","Pacific/Rarotonga" +5863,"Manihiki Island Airport","Manihiki Island","Cook Islands","MHX","NCMH",-10.3767,-161.002,0,-10,"U","Pacific/Rarotonga" +5862,"Mangaia Island Airport","Mangaia Island","Cook Islands","MGS","NCMG",-21.8956,-157.905,45,-10,"U","Pacific/Rarotonga" +5861,"Atiu Island Airport","Atiu Island","Cook Islands","AIU","NCAT",-19.9678,-158.119,36,-10,"U","Pacific/Rarotonga" +5860,"Nassau Paradise Island Airport","Nassau","Bahamas","PID","MYPI",25.083,-77.3,0,-5,"U","America/Nassau" +5859,"Colonel Hill Airport","Colonel Hill","Bahamas","CRI","MYCI",22.745561,-74.182353,5,-5,"U","America/Nassau" +5858,"New Bight Airport","Cat Island","Bahamas","CAT","MYCB",24.315292,-75.452331,5,-5,"U","America/Nassau" +5857,"Arthurs Town Airport","Arthur's Town","Bahamas","ATC","MYCA",24.629417,-75.673775,18,-5,"U","America/Nassau" +5856,"Congo Town Airport","Andros","Bahamas","COX","MYAK",24.158933,-77.589758,15,-5,"U","America/Nassau" +5855,"Long Banga Airport","Long Banga","Malaysia","LBP","",3.18495,115.454,750,8,"N","Asia/Kuala_Lumpur" +5854,"Salina Cruz Naval Air Station","Salina Cruz","Mexico","SCX","MM57",16.2126,-95.2016,75,-6,"S","America/Mexico_City" +5853,"Alberto Delgado Airport","Trinidad","Cuba","TND","MUTD",21.788461,-79.997203,125,-5,"U","America/Havana" +5852,"Cayo Coco Airport","Cayo Coco","Cuba","CCC","MUOC",22.5132,-78.511,6,-5,"U","America/Havana" +5851,"Port-de-Paix Airport","Port-de-Paix","Haiti","PAX","MTPX",19.9336,-72.8486,9,-5,"U","America/Port-au-Prince" +5850,"Jeremie Airport","Jeremie","Haiti","JEE","MTJE",18.6631,-74.1703,147,-5,"U","America/Port-au-Prince" +5849,"Playa Samara Airport","Playa Samara","Costa Rica","PLD","MRSR",10.25,-85.417,10,-6,"U","America/Costa_Rica" +5848,"Tobias Bolanos International Airport","San Jose","Costa Rica","SYQ","MRPV",9.957053,-84.139797,3287,-6,"U","America/Costa_Rica" +5847,"Puerto Jimenez Airport","Puerto Jimenez","Costa Rica","PJM","MRPJ",8.53333,-83.3,7,-6,"U","America/Costa_Rica" +5845,"Islita Airport","Nandayure","Costa Rica","PBP","MRIA",9.85611,-85.3708,7,-6,"U","America/Costa_Rica" +5844,"Cabo Velas Airport","Nicoya","Costa Rica","TNO","MRCV",10.3557,-85.852892,33,-6,"U","America/Costa_Rica" +5843,"Barra del Colorado Airport","Pococi","Costa Rica","BCL","MRBC",10.768736,-83.585614,3,-6,"U","America/Costa_Rica" +5842,"Aerotortuguero Airport","Roxana","Costa Rica","TTQ","MRAO",10.569,-83.5148,82,-6,"U","America/Costa_Rica" +5841,"Captain Ramon Xatruch Airport","La Palma","Panama","PLP","MPLP",8.40667,-78.1417,30,-5,"U","America/Panama" +5840,"Jaqué Airport","Jaqué","Panama","JQE","MPJE",7.51778,-78.1572,29,-5,"U","America/Panama" +5839,"Enrique Adolfo Jimenez Airport","Colón","Panama","ONX","MPEJ",9.35664,-79.8674,25,-5,"U","America/Panama" +5838,"Alonso Valderrama Airport","Chitré","Panama","CTD","MPCE",7.98784,-80.4097,33,-5,"U","America/Panama" +5837,"Lencero Airport","Jalapa","Mexico","JAL","MMJA",19.475083,-96.797506,3127,-6,"S","America/Mexico_City" +5836,"Guerrero Negro Airport","Guerrero Negro","Mexico","GUB","MMGR",28.0261,-114.024,59,-8,"S","America/Tijuana" +5835,"Ciudad Constitución Airport","Ciudad Constitución","Mexico","CUA","MMDA",25.0538,-111.615,213,-7,"S","America/Mazatlan" +5834,"Captain Rogelio Castillo National Airport","Celaya","Mexico","CYW","MMCY",20.545994,-100.88655,5709,-6,"S","America/Mexico_City" +5833,"Mili Island Airport","Mili Island","Marshall Islands","MIJ","MLIP",6.08333,171.733,4,12,"U","Pacific/Majuro" +5832,"Puerto Lempira Airport","Puerto Lempira","Honduras","PEU","MHPL",15.2622,-83.7812,25,-6,"U","America/Tegucigalpa" +5831,"Ahuas Airport","Ahuas","Honduras","AHS","MHAH",15.4722,-84.3522,98,-6,"U","America/Tegucigalpa" +5830,"Wotho Island Airport","Wotho Island","Marshall Islands","WTO","",10.1733,166.003,0,12,"U","Pacific/Majuro" +5829,"Wotje Atoll Airport","Wotje Atoll","Marshall Islands","WTE","N36",9.46667,170.233,4,12,"U","Pacific/Majuro" +5828,"Woja Airport","Majuro Atoll","Marshall Islands","WJA","",7.083,171.133,0,12,"U","Pacific/Majuro" +5827,"Jaluit Airport","Jabor Jaluit Atoll","Marshall Islands","UIT","N55",5.90924,169.637,4,12,"U","Pacific/Majuro" +5826,"Rongelap Island Airport","Rongelap Island","Marshall Islands","RNP","",11.1572,166.887,0,12,"U","Pacific/Majuro" +5825,"Namorik Atoll Airport","Namorik Atoll","Marshall Islands","NDK","3N0",5.63167,168.125,15,12,"U","Pacific/Majuro" +5824,"Majkin Airport","Majkin","Marshall Islands","MJE","",7.833,168.167,0,12,"U","Pacific/Majuro" +5823,"Mejit Atoll Airport","Mejit Atoll","Marshall Islands","MJB","Q30",10.2833,170.883,5,12,"U","Pacific/Majuro" +5822,"Maloelap Island Airport","Maloelap Island","Marshall Islands","MAV","",8.70444,171.23,0,12,"U","Pacific/Majuro" +5821,"Likiep Airport","Likiep Island","Marshall Islands","LIK","",9.82316,169.308,0,12,"U","Pacific/Majuro" +5820,"Kaben Airport","Kaben","Marshall Islands","KBT","",8.90056,170.844,0,12,"U","Pacific/Majuro" +5819,"Jeh Airport","Ailinglapalap Atoll","Marshall Islands","JEJ","",7.56535,168.962,0,12,"U","Pacific/Majuro" +5818,"Jabot Airport","Ailinglapalap Atoll","Marshall Islands","JAT","",7.45235,168.552,0,12,"U","Pacific/Majuro" +5817,"Enyu Airfield","Bikini Atoll","Marshall Islands","BII","",11.5225,165.565,0,12,"U","Pacific/Majuro" +5816,"Aur Island Airport","Aur Atoll","Marshall Islands","AUL","",8.14528,171.173,0,12,"U","Pacific/Majuro" +5815,"Ailuk Airport","Ailuk Island","Marshall Islands","AIM","",10.2168,169.983,0,12,"U","Pacific/Majuro" +5814,"Utirik Airport","Utirik Island","Marshall Islands","UTK","03N",11.222,169.852,4,12,"U","Pacific/Majuro" +5813,"Quezaltenango Airport","Quezaltenango","Guatemala","AAZ","MGQZ",14.8656,-91.502,7779,-6,"U","America/Guatemala" +5812,"Puerto Barrios Airport","Puerto Barrios","Guatemala","PBR","MGPB",15.730878,-88.583767,33,-6,"U","America/Guatemala" +5811,"Dr Joaquin Balaguer International Airport","La Isabela","Dominican Republic","JBQ","MDJB",18.5725,-69.9856,98,-4,"U","America/Santo_Domingo" +5810,"Samaná El Catey International Airport","Samana","Dominican Republic","AZS","MDCY",19.267,-69.742,30,-4,"U","America/Santo_Domingo" +5809,"Salt Cay Airport","Salt Cay","Turks and Caicos Islands","SLX","MBSY",21.333,-71.2,3,-5,"U","America/Grand_Turk" +5808,"Middle Caicos Airport","Middle Caicos","Turks and Caicos Islands","MDS","MBMC",21.833,-71.817,9,-5,"U","America/Grand_Turk" +5807,"JAGS McCartney International Airport","Cockburn Town","Turks and Caicos Islands","GDT","MBGT",21.4445,-71.1423,13,-5,"U","America/Grand_Turk" +5806,"Žilina Airport","Žilina","Slovakia","ILZ","LZZI",49.231528,18.6135,1020,1,"E","Europe/Bratislava" +5805,"Ubari Airport","Ubari","Libya","QUB","",26.5675,12.8231,1387,2,"N","Africa/Tripoli" +5804,"Misratah Airport","Misratah","Libya","MRA","",32.325,15.061,60,2,"N","Africa/Tripoli" +5803,"Samsun-ÇarÅŸamba Airport","Samsun","Turkey","SZF","LTFH",41.2545,36.5671,18,2,"E","Europe/Istanbul" +5802,"Balikesir Korfez Airport","Balikesir Korfez","Turkey","EDO","LTFD",39.5546,27.0138,50,2,"E","Europe/Istanbul" +5801,"Isparta Süleyman Demirel Airport","Isparta","Turkey","ISE","LTFC",37.8554,30.3684,2835,2,"E","Europe/Istanbul" +5800,"Adiyaman Airport","Adiyaman","Turkey","ADF","LTCP",37.7314,38.4689,2216,2,"E","Europe/Istanbul" +5799,"Agri Airport","Agri","Turkey","AJI","LTCO",39.6546,43.0271,5462,2,"E","Europe/Istanbul" +5798,"Kahramanmaras Airport","Kahramanmaras","Turkey","KCM","LTCN",37.539,36.9534,1723,2,"E","Europe/Istanbul" +5797,"Sanliurfa Airport","Sanliurfa","Turkey","SFQ","LTCH",37.094261,38.847103,1483,2,"E","Europe/Istanbul" +5796,"Kars Airport","Kars","Turkey","KSY","LTCF",40.562222,43.115002,5889,2,"E","Europe/Istanbul" +5795,"Usak Airport","Usak","Turkey","USQ","LTBO",38.681478,29.471675,2897,2,"E","Europe/Istanbul" +5794,"Banja Luka International Airport","Banja Luka","Bosnia and Herzegovina","BNX","LQBK",44.941444,17.297501,400,1,"E","Europe/Sarajevo" +5793,"Corvo Airport","Corvo","Portugal","CVU","LPCR",39.6715,-31.1136,0,-1,"E","Atlantic/Azores" +5792,"Salerno Pontecagnano Airport","Salerno","Italy","QSR","LIRI",40.6204,14.911294,123,1,"E","Europe/Rome" +5791,"Aosta Airport","Aosta","Italy","AOT","LIMW",45.738456,7.368719,1791,1,"E","Europe/Rome" +5790,"Sármellék International Airport","Sármellék","Hungary","SOB","LHSM",46.686389,17.159056,408,1,"N","Europe/Budapest" +5789,"GyÅ‘r-Pér International Airport","GyÅ‘r","Hungary","QGY","LHPR",47.627097,17.808347,424,1,"N","Europe/Budapest" +5788,"Pécs-Pogány Airport","Pécs-Pogány","Hungary","PEV","LHPP",45.990928,18.240983,1000,1,"N","Europe/Budapest" +5787,"Syros Airport","Syros Island","Greece","JSY","LGSO",37.422792,24.950936,236,2,"E","Europe/Athens" +5786,"La Môle Airport","La Môle","France","LTT","LFTZ",43.2054,6.482,59,1,"E","Europe/Paris" +6810,"EuroAirport","Mulhouse","France","EAP",\N,47.589583,7.529914,885,1,"E","Europe/Paris" +6511,"Tekapo","Lake Tekapo","New Zealand","","NZTL",-44,170.28,2,12,"Z","Pacific/Auckland" +5783,"Angers-Loire Airport","Angers/Marcé","France","ANE","LFJR",47.5603,-0.312222,194,1,"E","Europe/Paris" +5782,"ÃŽle d'Yeu Airport","ÃŽle d'Yeu","France","IDY","LFEY",46.718611,-2.391111,79,1,"E","Europe/Paris" +5781,"Logroño-Agoncillo Airport","Logroño-Agoncillo","Spain","RJL","LELO",42.4542,-2.32083,1161,1,"E","Europe/Madrid" +5780,"Ercan International Airport","Nicosia","Cyprus","ECN","LCEN",35.1547,33.4961,404,2,"E","Asia/Nicosia" +5779,"Yakima Air Terminal McAllister Field","Yakima","United States","YKM","KYKM",46.5682,-120.544,1095,-8,"A","America/Los_Angeles" +5778,"Kiwayu (Mkononi) Airport","Kiwayu","Kenya","KWY","",-1.96056,41.2975,21,3,"U","Africa/Nairobi" +5777,"Worland Municipal Airport","Worland","United States","WRL","KWRL",43.9657,-107.951,4227,-7,"A","America/Denver" +5776,"Valdosta Regional Airport","Valdosta","United States","VLD","KVLD",30.7825,-83.2767,203,-5,"A","America/New_York" +5775,"Victoria Regional Airport","Victoria","United States","VCT","KVCT",28.8526,-96.9185,115,-6,"A","America/Chicago" +5774,"Quincy Regional Baldwin Field","Quincy","United States","UIN","KUIN",39.9427,-91.1946,769,-6,"A","America/Chicago" +5773,"Tupelo Regional Airport","Tupelo","United States","TUP","KTUP",34.2681,-88.7699,346,-6,"A","America/Chicago" +5772,"Santa Maria Pub Cpt G Allan Hancock Airport","Santa Maria","United States","SMX","KSMX",34.8989,-120.457,261,-8,"A","America/Los_Angeles" +5771,"Salina Municipal Airport","Salina","United States","SLN","KSLN",38.791,-97.6522,1288,-6,"A","America/Chicago" +5770,"Adirondack Regional Airport","Saranac Lake","United States","SLK","KSLK",44.3853,-74.2062,1663,-5,"A","America/New_York" +5769,"Sheridan County Airport","Sheridan","United States","SHR","KSHR",44.7692,-106.98,4021,-7,"A","America/Denver" +5768,"San Luis County Regional Airport","San Luis Obispo","United States","SBP","KSBP",35.2368,-120.642,212,-8,"A","America/Los_Angeles" +5767,"Rutland State Airport","Rutland","United States","RUT","KRUT",43.5294,-72.9496,787,-5,"A","America/New_York" +5766,"Rock Springs Sweetwater County Airport","Rock Springs","United States","RKS","KRKS",41.5942,-109.065,6760,-7,"A","America/Denver" +5765,"Rhinelander Oneida County Airport","Rhinelander","United States","RHI","KRHI",45.6312,-89.4675,1624,-6,"A","America/Chicago" +5764,"Reading Regional Carl A Spaatz Field","Reading","United States","RDG","KRDG",40.3785,-75.9652,344,-5,"A","America/New_York" +5763,"Pease International Tradeport","Portsmouth","United States","PSM","KPSM",43.0779,-70.8233,100,-5,"A","America/New_York" +5762,"Pellston Regional Airport of Emmet County Airport","Pellston","United States","PLN","KPLN",45.5709,-84.7967,720,-5,"A","America/New_York" +5761,"Pierre Regional Airport","Pierre","United States","PIR","KPIR",44.3827,-100.286,1742,-6,"A","America/Chicago" +5760,"Pocatello Regional Airport","Pocatello","United States","PIH","KPIH",42.9098,-112.596,4452,-7,"A","America/Denver" +5759,"Hattiesburg Laurel Regional Airport","Hattiesburg/Laurel","United States","PIB","KPIB",31.4671,-89.3371,298,-6,"A","America/Chicago" +5758,"Owensboro Daviess County Airport","Owensboro","United States","OWB","KOWB",37.7401,-87.1668,406,-6,"A","America/Chicago" +5757,"Southwest Oregon Regional Airport","North Bend","United States","OTH","KOTH",43.4171,-124.246,17,-8,"A","America/Los_Angeles" +5756,"Northwest Alabama Regional Airport","Muscle Shoals","United States","MSL","KMSL",34.7453,-87.6102,550,-6,"A","America/Chicago" +5755,"Frank Wiley Field","Miles City","United States","MLS","KMLS",46.428,-105.886,2630,-7,"A","America/Denver" +5754,"Muskegon County Airport","Muskegon","United States","MKG","KMKG",43.1695,-86.2382,628,-5,"A","America/New_York" +5753,"Lynchburg Regional Preston Glenn Field","Lynchburg","United States","LYH","KLYH",37.3267,-79.2004,938,-5,"A","America/New_York" +5752,"Lewistown Municipal Airport","Lewistown","United States","LWT","KLWT",47.0493,-109.467,4170,-7,"A","America/Denver" +5751,"Lancaster Airport","Lancaster","United States","LNS","KLNS",40.1217,-76.2961,403,-5,"A","America/New_York" +5750,"Klamath Falls Airport","Klamath Falls","United States","LMT","KLMT",42.1561,-121.733,4095,-8,"A","America/Los_Angeles" +5749,"Lebanon Municipal Airport","Lebanon","United States","LEB","KLEB",43.6261,-72.3042,603,-5,"A","America/New_York" +5748,"North Platte Regional Airport Lee Bird Field","North Platte","United States","LBF","KLBF",41.1262,-100.684,2776,-6,"A","America/Chicago" +5747,"Arnold Palmer Regional Airport","Latrobe","United States","LBE","KLBE",40.2759,-79.4048,1185,-5,"A","America/New_York" +5746,"Laramie Regional Airport","Laramie","United States","LAR","KLAR",41.3121,-105.675,7284,-7,"A","America/Denver" +5745,"Jamestown Regional Airport","Jamestown","United States","JMS","KJMS",46.9297,-98.6782,1498,-6,"A","America/Chicago" +5744,"Kirksville Regional Airport","Kirksville","United States","IRK","KIRK",40.0935,-92.5449,966,-6,"A","America/Chicago" +5743,"Kili Airport","Kili Island","Marshall Islands","KIO","Q51",5.64452,169.12,5,12,"U","Pacific/Majuro" +5742,"Tri State Milton J Ferguson Field","Huntington","United States","HTS","KHTS",38.3667,-82.558,828,-5,"A","America/New_York" +5741,"Memorial Field","Hot Springs","United States","HOT","KHOT",34.478,-93.0962,540,-6,"A","America/Chicago" +5740,"Central Nebraska Regional Airport","Grand Island","United States","GRI","KGRI",40.9675,-98.3096,1847,-6,"A","America/Chicago" +5739,"Wokal Field Glasgow International Airport","Glasgow","United States","GGW","KGGW",48.2125,-106.615,2296,-7,"A","America/Denver" +5738,"Fayetteville Regional Grannis Field","Fayetteville","United States","FAY","KFAY",34.9912,-78.8803,189,-5,"A","America/New_York" +5737,"New Bedford Regional Airport","New Bedford","United States","EWB","KEWB",41.6761,-70.9569,80,-5,"A","America/New_York" +5736,"Elko Regional Airport","Elko","United States","EKO","KEKO",40.8249,-115.792,5140,-8,"A","America/Los_Angeles" +5735,"Chippewa Valley Regional Airport","Eau Claire","United States","EAU","KEAU",44.8658,-91.4843,913,-6,"A","America/Chicago" +5734,"DuBois Regional Airport","Du Bois","United States","DUJ","KDUJ",41.1783,-78.8987,1817,-5,"A","America/New_York" +5733,"Dodge City Regional Airport","Dodge City","United States","DDC","KDDC",37.7634,-99.9656,2594,-6,"A","America/Chicago" +5732,"Houghton County Memorial Airport","Hancock","United States","CMX","KCMX",47.1684,-88.4891,1095,-5,"A","America/New_York" +5731,"William R Fairchild International Airport","Port Angeles","United States","CLM","KCLM",48.1202,-123.5,291,-8,"A","America/Los_Angeles" +5730,"Harrison Marion Regional Airport","Clarksburg","United States","CKB","KCKB",39.2966,-80.2281,1217,-5,"A","America/New_York" +5729,"Chippewa County International Airport","Sault Ste Marie","United States","CIU","KCIU",46.2508,-84.4724,800,-5,"A","America/New_York" +5728,"Cape Girardeau Regional Airport","Cape Girardeau","United States","CGI","KCGI",37.2253,-89.5708,342,-6,"A","America/Chicago" +5727,"Del Norte County Airport","Crescent City","United States","CEC","KCEC",41.7802,-124.237,57,-8,"A","America/Los_Angeles" +5726,"Southeast Iowa Regional Airport","Burlington","United States","BRL","KBRL",40.7832,-91.1255,698,-6,"A","America/Chicago" +5725,"Brunswick Golden Isles Airport","Brunswick","United States","BQK","KBQK",31.2588,-81.4665,26,-5,"A","America/New_York" +5724,"Raleigh County Memorial Airport","Beckley","United States","BKW","KBKW",37.7873,-81.1242,2504,-5,"A","America/New_York" +5723,"Western Nebraska Regional Airport","Scottsbluff","United States","BFF","KBFF",41.874,-103.596,3967,-7,"A","America/Denver" +5722,"Bradford Regional Airport","Bradford","United States","BFD","KBFD",41.8031,-78.6401,2143,-5,"A","America/New_York" +5721,"Watertown Regional Airport","Watertown","United States","ATY","KATY",44.914,-97.1547,1748,-6,"A","America/Chicago" +5720,"Alpena County Regional Airport","Alpena","United States","APN","KAPN",45.0781,-83.5603,689,-5,"A","America/New_York" +5719,"Walla Walla Regional Airport","Walla Walla","United States","ALW","KALW",46.0949,-118.288,1191,-8,"A","America/Los_Angeles" +5718,"Waterloo Regional Airport","Waterloo","United States","ALO","KALO",42.5571,-92.4003,873,-6,"A","America/Chicago" +5717,"Alamogordo White Sands Regional Airport","Alamogordo","United States","ALM","KALM",32.8399,-105.991,4200,-7,"A","America/Denver" +5716,"Athens Ben Epps Airport","Athens","United States","AHN","KAHN",33.9486,-83.3263,808,-5,"A","America/New_York" +5715,"Southwest Georgia Regional Airport","Albany","United States","ABY","KABY",31.5355,-84.1945,197,-5,"A","America/New_York" +5714,"Aberdeen Regional Airport","Aberdeen","United States","ABR","KABR",45.4491,-98.4218,1302,-6,"A","America/Chicago" +5713,"San Domino Island Heliport","Tremiti Islands","Italy","TQR","",42.1025,15.488,0,1,"E","Europe/Rome" +5712,"Gheshm Airport","Gheshm","Iran","GSM","",26.9487,56.2688,100,3.5,"E","Asia/Tehran" +5711,"Diu Airport","Diu","India","DIU","VA1P",20.7131,70.9211,31,5.5,"N","Asia/Calcutta" +5710,"Gulu Airport","Gulu","Uganda","ULU","HUGU",2.805556,32.271792,3510,3,"U","Africa/Kampala" +5709,"Arua Airport","Arua","Uganda","RUA","HUAR",3.05,30.917,3951,3,"U","Africa/Kampala" +5708,"Tabora Airport","Tabora","Tanzania","TBO","HTTB",-5.07639,32.8333,3868,3,"U","Africa/Dar_es_Salaam" +5707,"Shinyanga Airport","Shinyanga","Tanzania","SHY","HTSY",-3.667,33.417,3800,3,"U","Africa/Dar_es_Salaam" +5706,"Musoma Airport","Musoma","Tanzania","MUZ","HTMU",-1.483,33.8,3806,3,"U","Africa/Dar_es_Salaam" +5705,"Kikwetu Airport","Lindi","Tanzania","LDI","HTLI",-9.85111,39.7578,100,3,"U","Africa/Dar_es_Salaam" +5704,"Kigoma Airport","Kigoma","Tanzania","TKQ","HTKA",-4.883,29.633,2700,3,"U","Africa/Dar_es_Salaam" +5703,"Bukoba Airport","Bukoba","Tanzania","BKZ","HTBU",-1.3,31.8,3745,3,"U","Africa/Dar_es_Salaam" +5702,"Port Sudan New International Airport","Port Sudan","Sudan","PZU","HSPN",19.4336,37.2341,135,3,"U","Africa/Khartoum" +5701,"Nyala Airport","Nyala","Sudan","UYL","HSNN",12.0535,24.9562,2106,3,"U","Africa/Khartoum" +5700,"Atbara Airport","Atbara","Sudan","ATB","HSAT",17.7,33.967,1181,3,"U","Africa/Khartoum" +5699,"La Abraq Airport","Al Bayda'","Libya","LAQ","HLLQ",32.788673,21.964333,2157,2,"N","Africa/Tripoli" +5698,"Mitiga Airport","Tripoli","Libya","MJI","HLLM",32.8941,13.276,36,2,"N","Africa/Tripoli" +5697,"Gamal Abdel Nasser Airport","Tobruk","Libya","TOB","HLGN",31.861,23.907,519,2,"N","Africa/Tripoli" +5696,"Gardabya Airport","Sirt","Libya","SRX","HLGD",31.0635,16.595,267,2,"N","Africa/Tripoli" +5695,"Nanyuki Civil Airport","Nanyuki","Kenya","NYK","HKNY",-0.067,37.033,6250,3,"U","Africa/Nairobi" +5694,"Malindi Airport","Malindi","Kenya","MYD","HKML",-3.22931,40.1017,80,3,"U","Africa/Nairobi" +5693,"Lokichoggio Airport","Lokichoggio","Kenya","LKG","HKLK",4.204117,34.348186,2074,3,"U","Africa/Nairobi" +5692,"Amboseli Airport","Amboseli National Park","Kenya","ASV","HKAM",-2.64505,37.2531,3755,3,"U","Africa/Nairobi" +5691,"Asyut International Airport","Asyut","Egypt","ATZ","HEAT",27.046508,31.011983,772,2,"U","Africa/Cairo" +5690,"El Arish International Airport","El Arish","Egypt","AAC","HEAR",31.073333,33.835833,121,2,"U","Africa/Cairo" +5689,"Burao Airport","Burao","Somalia","BUO","HCMV",9.517,45.567,3400,3,"U","Africa/Mogadishu" +5688,"Galcaio Airport","Galcaio","Somalia","GLK","HCMR",6.78083,47.4547,975,3,"U","Africa/Mogadishu" +5687,"Aden Adde International Airport","Mogadishu","Somalia","MGQ","HCMM",2.01444,45.3047,29,3,"U","Africa/Mogadishu" +5686,"Bosaso Airport","Bosaso","Somalia","BSA","HCMF",11.2753,49.1494,3,3,"U","Africa/Mogadishu" +5685,"Alula Airport","Alula","Somalia","ALU","HCMA",11.95,50.733,6,3,"U","Africa/Mogadishu" +5684,"Tippi Airport","Tippi","Ethiopia","TIE","HATP",7.117,35.383,1100,3,"U","Africa/Addis_Ababa" +5683,"Mizan Teferi Airport","Mizan Teferi","Ethiopia","MTF","HAMT",6.967,35.533,4396,3,"U","Africa/Addis_Ababa" +5682,"Kabri Dehar Airport","Kabri Dehar","Ethiopia","ABK","HAKD",6.734,44.253,1800,3,"U","Africa/Addis_Ababa" +5681,"Gore Airport","Gore","Ethiopia","GOR","HAGR",8.167,35.55,6580,3,"U","Africa/Addis_Ababa" +5680,"Gode Airport","Gode","Ethiopia","GDE","HAGO",5.935128,43.578567,834,3,"U","Africa/Addis_Ababa" +5679,"Dembidollo Airport","Dembidollo","Ethiopia","DEM","HADD",8.554,34.858,5200,3,"U","Africa/Addis_Ababa" +5678,"Combolcha Airport","Dessie","Ethiopia","DSE","HADC",11.0825,39.7114,6117,3,"U","Africa/Addis_Ababa" +5677,"Beica Airport","Beica","Ethiopia","BEI","HABE",9.38639,34.5219,5410,3,"U","Africa/Addis_Ababa" +5676,"Baco Airport","Baco","Ethiopia","BCO","HABC",5.78287,36.562,0,3,"U","Africa/Addis_Ababa" +5675,"Sao Filipe Airport","Sao Filipe, Fogo Island","Cape Verde","SFL","GVSF",14.885,-24.48,617,-1,"U","Atlantic/Cape_Verde" +5674,"Praia International Airport","Praia, Santiago Island","Cape Verde","RAI","GVNP",14.9245,-23.4935,230,-1,"U","Atlantic/Cape_Verde" +5673,"El Aroui Airport","El Aroui","Morocco","NDR","GMMW",34.9888,-3.02821,574,0,"N","Africa/Casablanca" +5672,"Hassan I Airport","El Aaiún","Western Sahara","EUN","GMML",27.1517,-13.2192,207,0,"N","Africa/El_Aaiun" +5671,"Mogador Airport","Essadouira","Morocco","ESU","GMMI",31.3975,-9.681667,384,0,"N","Africa/Casablanca" +5670,"Dakhla Airport","Dakhla","Western Sahara","VIL","GMMH",23.7183,-15.932,36,0,"N","Africa/El_Aaiun" +5669,"Smara Airport","Smara","Western Sahara","SMW","GMMA",26.7318,-11.6847,350,0,"N","Africa/El_Aaiun" +5668,"Iginniarfik Heliport","Iginniarfik","Greenland","QFI","",68.7,-52.9667,0,-3,"E","America/Godthab" +5667,"Akunnaaq Heliport","Akunnaaq","Greenland","QCU","",68.75,-52.3333,0,-3,"E","America/Godthab" +5666,"Groennedal Heliport","Groennedal","Greenland","JGR","",61.2333,-48.1,0,-3,"E","America/Godthab" +5665,"Osvaldo Vieira International Airport","Bissau","Guinea-Bissau","OXB","GGOV",11.89485,-15.653681,129,0,"N","Africa/Bissau" +5664,"Kenema Airport","Kenema","Sierra Leone","KEN","GFKE",7.89129,-11.1766,485,0,"N","Africa/Freetown" +5663,"Bo Airport","Bo","Sierra Leone","KBS","GFBO",7.9444,-11.761,328,0,"N","Africa/Freetown" +5662,"Sherbro International Airport","Bonthe","Sierra Leone","BTE","GFBN",7.53242,-12.5189,14,0,"N","Africa/Freetown" +5661,"Ceuta Heliport","Ceuta","Spain","JCU","GECT",35.8969,-5.29908,0,1,"E","Europe/Madrid" +5660,"Lauriston Airport","Carriacou Island","Grenada","CRU","",12.4761,-61.4728,0,-4,"U","America/Grenada" +5659,"La Gomera Airport","La Gomera","Spain","GMZ","GCGM",28.0296,-17.2146,718,0,"E","Atlantic/Canary" +5658,"Papa Stour Airport","Papa Stour","United Kingdom","PSV","",60.3217,-1.69306,0,0,"E","Europe/London" +5657,"Outer Skerries Airport","Outer Skerries","United Kingdom","OUK","",60.417,-0.75,0,0,"E","Europe/London" +5656,"Foula Airport","Foula","United Kingdom","FOA","",60.121,-2.052,0,0,"E","Europe/London" +5655,"Gamba","Gamba","Gabon","GAX","",-2.71016,9.96062,73,1,"N","Africa/Libreville" +5654,"Ilebo Airport","Ilebo","Congo (Kinshasa)","PFR","FZVS",-4.333,20.583,1450,2,"N","Africa/Lubumbashi" +5653,"Lodja Airport","Lodja","Congo (Kinshasa)","LJA","FZVA",-3.417,23.45,1647,2,"N","Africa/Lubumbashi" +5652,"Tshikapa Airport","Tshikapa","Congo (Kinshasa)","TSH","FZUK",-6.43833,20.7947,1595,2,"N","Africa/Lubumbashi" +5651,"Basankusu Airport","Basankusu","Congo (Kinshasa)","BSU","FZEN",1.22472,19.7889,1217,1,"N","Africa/Kinshasa" +5650,"Basango Mboliasa Airport","Kiri","Congo (Kinshasa)","KRZ","FZBT",-1.435,19.024,1013,1,"N","Africa/Kinshasa" +5649,"Nioki Airport","Nioki","Congo (Kinshasa)","NIO","FZBI",-2.7175,17.6847,1043,1,"N","Africa/Kinshasa" +5648,"Inongo Airport","Inongo","Congo (Kinshasa)","INO","FZBA",-1.94722,18.2858,1040,1,"N","Africa/Kinshasa" +5647,"Tshimpi Airport","Matadi","Congo (Kinshasa)","MAT","FZAM",-5.79961,13.4404,1115,1,"N","Africa/Kinshasa" +5646,"Boma Airport","Boma","Congo (Kinshasa)","BOA","FZAJ",-5.854,13.064,26,1,"N","Africa/Kinshasa" +5645,"Eros Airport","Windhoek","Namibia","ERS","FYWE",-22.6122,17.0804,5575,1,"S","Africa/Windhoek" +5644,"Swakopmund Airport","Swakopmund","Namibia","SWP","FYSM",-22.6619,14.5681,207,1,"S","Africa/Windhoek" +5643,"Oranjemund Airport","Oranjemund","Namibia","OMD","FYOG",-28.5847,16.4467,14,1,"S","Africa/Windhoek" +5642,"Ondangwa Airport","Ondangwa","Namibia","OND","FYOA",-17.8782,15.9526,3599,1,"S","Africa/Windhoek" +5641,"Luderitz Airport","Luderitz","Namibia","LUD","FYLZ",-26.6874,15.2429,457,1,"S","Africa/Windhoek" +5640,"Club Makokola Airport","Club Makokola","Malawi","CMK","FWCM",-14.3069,35.1325,1587,2,"U","Africa/Blantyre" +5639,"Sarh Airport","Sarh","Chad","SRH","FTTA",9.14444,18.3744,1198,1,"N","Africa/Ndjamena" +5638,"Croisette Heliport","Cannes","France","JCA","",43.536,7.03736,0,1,"E","Europe/Paris" +5637,"Chimoio Airport","Chimoio","Mozambique","VPY","FQCH",-19.151267,33.428958,2287,2,"U","Africa/Maputo" +5636,"Tchibanga Airport","Tchibanga","Gabon","TCH","FOOT",-2.85,11.017,269,1,"N","Africa/Libreville" +5635,"Mouilla Ville Airport","Mouila","Gabon","MJL","FOGM",-1.84514,11.0567,295,1,"N","Africa/Libreville" +5634,"Koulamoutou Airport","Koulamoutou","Gabon","KOU","FOGK",-1.18461,12.4413,1070,1,"N","Africa/Libreville" +5633,"Namibe Airport","Mocamedes","Angola","MSZ","FNMO",-15.261222,12.146756,210,1,"N","Africa/Luanda" +5632,"Ondjiva Pereira Airport","Ondjiva","Angola","VPE","FNGI",-17.043464,15.683822,3566,1,"N","Africa/Luanda" +5631,"Dundo Airport","Dundo","Angola","DUE","FNDU",-7.40089,20.8185,2451,1,"N","Africa/Luanda" +5630,"Catumbela Airport","Catumbela","Angola","CBT","FNCT",-12.4792,13.4869,0,1,"N","Africa/Luanda" +5629,"Manja Airport","Manja","Madagascar","MJA","FMSJ",-21.417,44.317,787,3,"U","Indian/Antananarivo" +5628,"Mandritsara Airport","Mandritsara","Madagascar","WMA","FMNX",-15.817,48.833,1007,3,"U","Indian/Antananarivo" +5627,"Tsaratanana Airport","Tsaratanana","Madagascar","TTS","FMNT",-16.75,47.617,1073,3,"U","Indian/Antananarivo" +5626,"Mampikony Airport","Mampikony","Madagascar","WMP","FMNP",-16.049,47.622,0,3,"U","Indian/Antananarivo" +5625,"Soalala Airport","Soalala","Madagascar","DWB","FMNO",-16.083,45.367,141,3,"U","Indian/Antananarivo" +5624,"Ambanja Airport","Ambanja","Madagascar","IVA","FMNJ",-13.65,48.467,36,3,"U","Indian/Antananarivo" +5623,"Port Bergé Airport","Port Bergé","Madagascar","WPB","FMNG",-15.583,47.617,213,3,"U","Indian/Antananarivo" +5622,"Ambatondrazaka Airport","Ambatondrazaka","Madagascar","WAM","FMMZ",-17.8,48.433,2513,3,"U","Indian/Antananarivo" +5621,"Tsiroanomandidy Airport","Tsiroanomandidy","Madagascar","WTS","FMMX",-18.75,46.05,2776,3,"U","Indian/Antananarivo" +5620,"Tambohorano Airport","Tambohorano","Madagascar","WTA","FMMU",-17.4761,43.9728,23,3,"U","Indian/Antananarivo" +5619,"Morafenobe Airport","Morafenobe","Madagascar","TVA","FMMR",-17.85,44.917,748,3,"U","Indian/Antananarivo" +5618,"Maintirano Airport","Maintirano","Madagascar","MXT","FMMO",-18.05,44.033,95,3,"U","Indian/Antananarivo" +5617,"Belo sur Tsiribihina Airport","Belo sur Tsiribihina","Madagascar","BMD","FMML",-19.6867,44.5419,154,3,"U","Indian/Antananarivo" +5616,"Ankavandra Airport","Ankavandra","Madagascar","JVA","FMMK",-18.8,45.283,427,3,"U","Indian/Antananarivo" +5615,"Antsalova Airport","Antsalova","Madagascar","WAQ","FMMG",-18.7,44.617,551,3,"U","Indian/Antananarivo" +5614,"Iconi Airport","Moroni","Comoros","YVA","FMCN",-11.7108,43.2439,33,3,"U","Indian/Comoro" +5613,"Solwesi Airport","Solwesi","Zambia","SLI","FLSW",-12.1737,26.3651,4551,2,"U","Africa/Lusaka" +5612,"Chipata Airport","Chipata","Zambia","CIP","FLCP",-13.5583,32.5872,3360,2,"U","Africa/Lusaka" +5611,"Loubomo Airport","Loubomo","Congo (Brazzaville)","DIS","FCPL",-4.2,12.7,1079,1,"N","Africa/Brazzaville" +5610,"Limpopo Valley Airport","Tuli Lodge","Botswana","TLD","FBTL",-22.1892,29.1269,1772,2,"U","Africa/Gaborone" +5609,"Shakawe Airport","Shakawe","Botswana","SWX","FBSW",-18.3739,21.8326,3379,2,"U","Africa/Gaborone" +5608,"Orapa Airport","Orapa","Botswana","ORP","FBOR",-21.2667,25.3167,3100,2,"U","Africa/Gaborone" +5607,"Ghanzi Airport","Ghanzi","Botswana","GNZ","FBGZ",-21.6925,21.6581,3730,2,"U","Africa/Gaborone" +5606,"Mmabatho International Airport","Mafeking","South Africa","MBD","FAMM",-25.798444,25.548028,4181,2,"U","Africa/Johannesburg" +5605,"Malamala Airport","Malamala","South Africa","AAM","FAMD",-24.818111,31.544584,1124,2,"U","Africa/Johannesburg" +5604,"Kruger Mpumalanga International Airport","Mpumalanga","South Africa","MQP","FAKN",-25.3832,31.1056,2829,2,"U","Africa/Johannesburg" +5603,"Rand Airport","Johannesburg","South Africa","QRA","FAGM",-26.242506,28.151169,5483,2,"U","Africa/Johannesburg" +5602,"Ventspils International Airport","Ventspils","Latvia","VTS","EVVA",57.357778,21.544167,19,2,"E","Europe/Riga" +5601,"Shire Inda Selassie Airport","Shire Indasilase","Ethiopia","SHC","",14.0781,38.2725,6207,3,"U","Africa/Addis_Ababa" +5600,"Shilavo Airport","Shilavo","Ethiopia","HIL","",6.08333,44.7667,1296,3,"U","Africa/Addis_Ababa" +5599,"Hemavan Airport","Hemavan","Sweden","HMV","ESUT",65.806111,15.082778,1503,1,"E","Europe/Stockholm" +5598,"Storuman Airport","Mohed","Sweden","SQO","ESUD",64.960894,17.696583,915,1,"E","Europe/Stockholm" +5597,"Ängelholm-Helsingborg Airport","Ängelholm","Sweden","AGH","ESTA",56.2961,12.8471,68,1,"E","Europe/Stockholm" +5596,"Torsby Airport","Torsby","Sweden","TYF","ESST",60.157622,12.991269,393,1,"E","Europe/Stockholm" +5595,"Karlstad Airport","Karlstad","Sweden","KSD","ESOK",59.4447,13.3374,352,1,"E","Europe/Stockholm" +5594,"Hagfors Airport","Hagfors","Sweden","HFS","ESOH",60.020064,13.578908,474,1,"E","Europe/Stockholm" +5593,"Östersund Airport","Östersund","Sweden","OSD","ESNZ",63.1944,14.5003,1233,1,"E","Europe/Stockholm" +5592,"Åódź WÅ‚adysÅ‚aw Reymont Airport","Lodz","Poland","LCJ","EPLL",51.721881,19.398133,604,1,"E","Europe/Warsaw" +5591,"Bydgoszcz Ignacy Jan Paderewski Airport","Bydgoszcz","Poland","BZG","EPBY",53.0968,17.9777,235,1,"E","Europe/Warsaw" +5590,"Værøy Heliport","Værøy","Norway","VRY","ENVR",67.6667,12.6833,36,1,"E","Europe/Oslo" +5589,"Svartnes Airport","Vardø","Norway","VAW","ENSS",70.355392,31.044889,42,1,"E","Europe/Oslo" +5588,"Sorkjosen Airport","Sorkjosen","Norway","SOJ","ENSR",69.7868,20.9594,16,1,"E","Europe/Oslo" +5587,"Svolvær Helle Airport","Svolvær","Norway","SVJ","ENSH",68.2433,14.6692,27,1,"E","Europe/Oslo" +5586,"Sogndal Airport","Sogndal","Norway","SOG","ENSG",61.1561,7.13778,0,1,"E","Europe/Oslo" +5585,"Anda Airport","Sandane","Norway","SDN","ENSD",61.83,6.10583,196,1,"E","Europe/Oslo" +5584,"Røst Airport","Røst","Norway","RET","ENRS",67.5278,12.1033,7,1,"E","Europe/Oslo" +5583,"Ryum Airport","Rørvik","Norway","RVK","ENRM",64.8383,11.1461,14,1,"E","Europe/Oslo" +5582,"Røssvoll Airport","Mo i Rana","Norway","MQN","ENRA",66.3639,14.3014,229,1,"E","Europe/Oslo" +5581,"Namsos Høknesøra Airport","Namsos","Norway","OSY","ENNM",64.4722,11.5786,7,1,"E","Europe/Oslo" +5580,"Leknes Airport","Leknes","Norway","LKN","ENLK",68.1525,13.6094,78,1,"E","Europe/Oslo" +5579,"Sindal Airport","Sindal","Denmark","CNL","EKSN",57.503525,10.229372,92,1,"N","Europe/Copenhagen" +5578,"Weston Airport","Leixlip","Ireland","","EIWT",53.351333,-6.4875,150,0,"E","Europe/Dublin" +5577,"Donegal Airport","Dongloe","Ireland","CFN","EIDL",55.044192,-8.341,30,0,"E","Europe/Dublin" +6816,"Raron Airport","Raron","Switzerland","","LSTA",46.3036,7.82333,2029,1,"E","Europe/Zurich" +5575,"Barra Airport","Barra","United Kingdom","BRR","EGPR",57.0228,-7.44306,5,0,"E","Europe/London" +5574,"Anglesey Airport","Angelsey","United Kingdom","HLY","EGOV",53.248097,-4.535339,37,0,"E","Europe/London" +5573,"Penzance Heliport","Penzance","United Kingdom","PZE","EGHK",50.1281,-5.51845,14,0,"E","Europe/London" +5572,"Land's End / St. Just Airport","Land's End","United Kingdom","LEQ","EGHC",50.1028,-5.67056,401,0,"E","Europe/London" +5571,"Westray Airport","Westray","United Kingdom","WRY","EGEW",59.3503,-2.95,29,0,"E","Europe/London" +5570,"Lerwick / Tingwall Airport","Lerwick","United Kingdom","LWK","EGET",60.1922,-1.24361,43,0,"E","Europe/London" +5569,"Sanday Airport","Sanday","United Kingdom","NDY","EGES",59.2503,-2.57667,68,0,"E","Europe/London" +5568,"Stronsay Airport","Stronsay","United Kingdom","SOY","EGER",59.1553,-2.64139,39,0,"E","Europe/London" +5567,"Papa Westray Airport","Papa Westray","United Kingdom","PPW","EGEP",59.3517,-2.90028,91,0,"E","Europe/London" +5566,"North Ronaldsay Airport","North Ronaldsay","United Kingdom","NRL","EGEN",59.3675,-2.43444,40,0,"E","Europe/London" +5565,"Fair Isle Airport","Fair Isle","United Kingdom","FIE","EGEF",59.5358,-1.62806,223,0,"E","Europe/London" +5564,"Eday Airport","Eday","United Kingdom","EOI","EGED",59.1906,-2.77222,10,0,"E","Europe/London" +5563,"Campbeltown Airport","Campbeltown","United Kingdom","CAL","EGEC",55.4372,-5.68639,42,0,"E","Europe/London" +5562,"Robin Hood Doncaster Sheffield Airport","Doncaster, Sheffield","United Kingdom","DSA","EGCN",53.474722,-1.004444,55,0,"E","Europe/London" +5561,"Nottingham Airport","Nottingham","United Kingdom","NQT","EGBN",52.92,-1.079167,138,0,"E","Europe/London" +5560,"Seinäjoki Airport","Seinäjoki / Ilmajoki","Finland","SJY","EFSI",62.6921,22.8323,302,2,"E","Europe/Helsinki" +5559,"Helgoland-Düne Airport","Helgoland","Germany","HGL","EDXH",54.1853,7.91583,7,1,"E",\N +5558,"Heide-Büsum Airport","Büsum","Germany","HEI","EDXB",54.1533,8.90167,7,1,"E","Europe/Berlin" +5557,"Heringsdorf Airport","Heringsdorf","Germany","HDF","EDAH",53.878706,14.152347,93,1,"E","Europe/Berlin" +5556,"Kumasi Airport","Kumasi","Ghana","KMS","DGSI",6.71456,-1.59082,942,0,"N","Africa/Accra" +5555,"Guemar Airport","Guemar","Algeria","ELU","DAUO",33.5114,6.77679,203,1,"N","Africa/Algiers" +5554,"Bordj Badji Mokhtar Airport","Bordj Badji Mokhtar","Algeria","BMW","DATM",21.375,0.923889,1303,1,"N","Africa/Algiers" +5553,"Béchar Boudghene Ben Ali Lotfi Airport","Béchar","Algeria","CBH","DAOR",31.6457,-2.26986,2661,1,"N","Africa/Algiers" +5552,"Batna Airport","Batna","Algeria","BLJ","DABT",35.752106,6.308589,2697,1,"N","Africa/Algiers" +5551,"Wollaston Lake Airport","Wollaston Lake","Canada","ZWL","CZWL",58.1069,-103.172,1360,-6,"N","America/Regina" +5550,"Churchill Falls Airport","Churchill Falls","Canada","ZUM","CZUM",53.5619,-64.1064,1442,-4,"A","America/Halifax" +5549,"Shamattawa Airport","Shamattawa","Canada","ZTM","CZTM",55.8656,-92.0814,289,-6,"A","America/Winnipeg" +5548,"Sandy Lake Airport","Sandy Lake","Canada","ZSJ","CZSJ",53.0642,-93.3444,951,-6,"A","America/Winnipeg" +5547,"Round Lake (Weagamow Lake) Airport","Round Lake","Canada","ZRJ","CZRJ",52.9436,-91.3128,974,-6,"A","America/Winnipeg" +5546,"Sachigo Lake Airport","Sachigo Lake","Canada","ZPB","CZPB",53.8911,-92.1964,876,-6,"A","America/Winnipeg" +5545,"Masset Airport","Masset","Canada","ZMT","CZMT",54.0275,-132.125,25,-8,"A","America/Vancouver" +5544,"Muskrat Dam Airport","Muskrat Dam","Canada","MSA","CZMD",53.4414,-91.7628,911,-6,"A","America/Winnipeg" +5543,"Kashechewan Airport","Kashechewan","Canada","ZKE","CZKE",52.2825,-81.6778,35,-5,"A","America/Toronto" +5542,"Swan River Airport","Swan River","Canada","ZJN","CZJN",52.1206,-101.236,1100,-6,"A","America/Winnipeg" +5541,"Gods River Airport","Gods River","Canada","ZGI","CZGI",54.8397,-94.0786,627,-6,"A","America/Winnipeg" +5540,"Fond-Du-Lac Airport","Fond-Du-Lac","Canada","ZFD","CZFD",59.3344,-107.182,814,-6,"N","America/Regina" +5539,"Eastmain River Airport","Eastmain River","Canada","ZEM","CZEM",52.2264,-78.5225,24,-5,"A","America/Toronto" +5538,"Bathurst Airport","Bathurst","Canada","ZBF","CZBF",47.6297,-65.7389,193,-4,"A","America/Halifax" +5537,"Ilford Airport","Ilford","Canada","ILF","CZBD",56.0614,-95.6139,642,-6,"A","America/Winnipeg" +5536,"York Landing Airport","York Landing","Canada","ZAC","CZAC",56.0894,-96.0892,621,-6,"A","America/Winnipeg" +5535,"Salluit Airport","Salluit","Canada","YZG","CYZG",62.1794,-75.6672,743,-5,"A","America/Toronto" +5534,"Whale Cove Airport","Whale Cove","Canada","YXN","CYXN",62.24,-92.5981,40,-6,"A","America/Winnipeg" +5533,"Webequie Airport","Webequie","Canada","YWP","CYWP",52.9597,-87.3689,685,-5,"A","America/Toronto" +5532,"Deer Lake Airport","Deer Lake","Canada","YVZ","CYVZ",52.6558,-94.0614,1092,-6,"A","America/Winnipeg" +5531,"Big Trout Lake Airport","Big Trout Lake","Canada","YTL","CYTL",53.8178,-89.8969,729,-6,"A","America/Winnipeg" +5530,"St. Theresa Point Airport","St. Theresa Point","Canada","YST","CYST",53.8456,-94.8519,773,-6,"A","America/Winnipeg" +5529,"Sanikiluaq Airport","Sanikiluaq","Canada","YSK","CYSK",56.5378,-79.2467,104,-5,"A",\N +5528,"Stony Rapids Airport","Stony Rapids","Canada","YSF","CYSF",59.2503,-105.841,805,-6,"N","America/Regina" +5527,"Red Lake Airport","Red Lake","Canada","YRL","CYRL",51.0669,-93.7931,1265,-6,"A","America/Winnipeg" +5526,"Rae Lakes Airport","Gamètì","Canada","YRA","CYRA",64.1161,-117.31,723,-7,"A","America/Edmonton" +5525,"Nakina Airport","Nakina","Canada","YQN","CYQN",50.182777,-86.696388,1057,-5,"A","America/Toronto" +5524,"The Pas Airport","The Pas","Canada","YQD","CYQD",53.9714,-101.091,887,-6,"A","America/Winnipeg" +5523,"Powell River Airport","Powell River","Canada","YPW","CYPW",49.8342,-124.5,425,-8,"A","America/Vancouver" +5522,"Peawanuck Airport","Peawanuck","Canada","YPO","CYPO",54.9881,-85.4433,173,-5,"A","America/Toronto" +5521,"Pikangikum Airport","Pikangikum","Canada","YPM","CYPM",51.8197,-93.9733,1114,-6,"A","America/Winnipeg" +5520,"Inukjuak Airport","Inukjuak","Canada","YPH","CYPH",58.4719,-78.0769,83,-5,"A","America/Toronto" +5519,"Oxford House Airport","Oxford House","Canada","YOH","CYOH",54.9333,-95.2789,663,-6,"A","America/Winnipeg" +5518,"Points North Landing Airport","Points North Landing","Canada","YNL","CYNL",58.2767,-104.082,1605,-6,"N","America/Regina" +5517,"Norway House Airport","Norway House","Canada","YNE","CYNE",53.9583,-97.8442,734,-6,"A","America/Winnipeg" +5516,"Wemindji Airport","Wemindji","Canada","YNC","CYNC",53.0106,-78.8311,66,-5,"A","America/Toronto" +5515,"Umiujaq Airport","Umiujaq","Canada","YUD","CYMU",56.5361,-76.5183,250,-5,"A","America/Toronto" +5514,"Chapais Airport","Chibougamau","Canada","YMT","CYMT",49.7719,-74.5281,1270,-5,"A","America/Toronto" +5513,"Mary's Harbour Airport","Mary's Harbour","Canada","YMH","CYMH",52.3028,-55.8472,38,-3.5,"A","America/St_Johns" +5512,"Kangiqsualujjuaq (Georges River) Airport","Kangiqsualujjuaq","Canada","XGR","CYLU",58.7114,-65.9928,215,-5,"A","America/Toronto" +5511,"Lutselk'e Airport","Lutselk'e","Canada","YSG","CYLK",62.4183,-110.682,596,-7,"A","America/Edmonton" +5510,"Lansdowne House Airport","Lansdowne House","Canada","YLH","CYLH",52.1956,-87.9342,834,-5,"A","America/Toronto" +5509,"Kimmirut Airport","Kimmirut","Canada","YLC","CYLC",62.85,-69.8833,175,-5,"A","America/Toronto" +5508,"Aupaluk Airport","Aupaluk","Canada","YPJ","CYLA",59.2967,-69.5997,119,-5,"A","America/Toronto" +5507,"Waskaganish Airport","Waskaganish","Canada","YKQ","CYKQ",51.4733,-78.7583,80,-5,"A","America/Toronto" +5506,"Akulivik Airport","Akulivik","Canada","AKV","CYKO",60.8186,-78.1486,75,-5,"A","America/Toronto" +5505,"Island Lake Airport","Island Lake","Canada","YIV","CYIV",53.8572,-94.6536,770,-6,"A","America/Winnipeg" +5504,"Ivujivik Airport","Ivujivik","Canada","YIK","CYIK",62.4173,-77.9253,126,-5,"A","America/Toronto" +5503,"Chevery Airport","Chevery","Canada","YHR","CYHR",50.4689,-59.6367,39,-4,"A","America/Blanc-Sablon" +5502,"Hopedale Airport","Hopedale","Canada","YHO","CYHO",55.4483,-60.2286,39,-4,"A","America/Halifax" +5501,"Nemiscau Airport","Nemiscau","Canada","YNS","CYHH",51.6911,-76.1356,802,-5,"A","America/Toronto" +5500,"Vancouver Harbour Water Airport","Vancouver","Canada","YHC","CYHC",49.2944,-123.111,0,-8,"A","America/Vancouver" +5499,"Quaqtaq Airport","Quaqtaq","Canada","YQC","CYHA",61.0464,-69.6178,103,-5,"A","America/Toronto" +5498,"Grise Fiord Airport","Grise Fiord","Canada","YGZ","CYGZ",76.4261,-82.9092,146,-5,"A","America/Toronto" +5497,"Gillam Airport","Gillam","Canada","YGX","CYGX",56.3575,-94.7106,476,-6,"A","America/Winnipeg" +5496,"Kuujjuarapik Airport","Kuujjuarapik","Canada","YGW","CYGW",55.2819,-77.7653,34,-5,"A","America/Toronto" +5495,"Igloolik Airport","Igloolik","Canada","YGT","CYGT",69.3647,-81.8161,174,-5,"A","America/Toronto" +5494,"Gods Lake Narrows Airport","Gods Lake Narrows","Canada","YGO","CYGO",54.5589,-94.4914,617,-6,"A","America/Winnipeg" +5493,"Texada Gillies Bay Airport","Texada","Canada","YGB","CYGB",49.6942,-124.518,326,-8,"A","America/Vancouver" +5492,"Makkovik Airport","Makkovik","Canada","YMN","CYFT",55.0769,-59.1864,234,-4,"A","America/Halifax" +5491,"Fort Hope Airport","Fort Hope","Canada","YFH","CYFH",51.5619,-87.9078,899,-5,"A","America/Toronto" +5490,"Fort Albany Airport","Fort Albany","Canada","YFA","CYFA",52.2014,-81.6969,48,-5,"A","America/Toronto" +5489,"Fort Severn Airport","Fort Severn","Canada","YER","CYER",56.0189,-87.6761,48,-5,"A","America/Toronto" +5488,"Nain Airport","Nain","Canada","YDP","CYDP",56.5492,-61.6803,22,-4,"A","America/Halifax" +5487,"Chesterfield Inlet Airport","Chesterfield Inlet","Canada","YCS","CYCS",63.3469,-90.7311,32,-6,"A","America/Winnipeg" +5486,"Cartwright Airport","Cartwright","Canada","YRF","CYCA",53.6828,-57.0419,40,-4,"A","America/Halifax" +5485,"Lourdes De Blanc Sablon Airport","Lourdes-De-Blanc-Sablon","Canada","YBX","CYBX",51.4436,-57.1853,121,-4,"A","America/Blanc-Sablon" +5484,"Uranium City Airport","Uranium City","Canada","YBE","CYBE",59.5614,-108.481,1044,-6,"N","America/Regina" +5483,"Lac Du Bonnet Airport","Lac Du Bonnet","Canada","","CYAX",50.2944,-96.01,850,-6,"A","America/Winnipeg" +5482,"Attawapiskat Airport","Attawapiskat","Canada","YAT","CYAT",52.9275,-82.4319,31,-5,"A","America/Toronto" +5481,"Kangirsuk Airport","Kangirsuk","Canada","YKG","CYAS",60.0272,-69.9992,403,-5,"A","America/Toronto" +5480,"Kasabonika Airport","Kasabonika","Canada","XKS","CYAQ",53.5247,-88.6428,672,-5,"A","America/Toronto" +5479,"Fort Frances Municipal Airport","Fort Frances","Canada","YAG","CYAG",48.6542,-93.4397,1125,-6,"A","America/Winnipeg" +5478,"Cat Lake Airport","Cat Lake","Canada","YAC","CYAC",51.7272,-91.8244,1344,-6,"A","America/Winnipeg" +5477,"Tarapacá Airport","Tarapacá","Colombia","TCD","",-2.867,-69.733,0,-5,"U","America/Bogota" +5476,"Apartadó Airport","Apartadó","Colombia","APO","",7.033,-77.2,0,-5,"U","America/Bogota" +5475,"Nantong Airport","Nantong","China","NTG","",32.0708,120.976,0,8,"U","Asia/Chongqing" +5474,"La Tabatière Airport","La Tabatière","Canada","ZLT","CTU5",50.8308,-58.9756,102,-4,"A","America/Blanc-Sablon" +5473,"Tête-à-la-Baleine Airport","Tête-à-la-Baleine","Canada","ZTB","CTB6",50.6744,-59.3836,107,-4,"A","America/Blanc-Sablon" +5472,"Chisasibi Airport","Chisasibi","Canada","YKU","CSU2",53.8056,-78.9169,43,-5,"A","America/Toronto" +5471,"Poplar Hill Airport","Poplar Hill","Canada","YHP","CPV7",52.1133,-94.2556,1095,-6,"A","America/Winnipeg" +5470,"Ogoki Post Airport","Ogoki Post","Canada","YOG","CNT3",51.6586,-85.9017,594,-5,"A","America/Toronto" +5469,"Kingfisher Lake Airport","Kingfisher Lake","Canada","KIF","CNM5",53.0125,-89.8553,866,-5,"A","America/Toronto" +5468,"Bearskin Lake Airport","Bearskin Lake","Canada","XBE","CNE3",53.9656,-91.0272,800,-6,"A","America/Winnipeg" +5467,"North Spirit Lake Airport","North Spirit Lake","Canada","YNO","CKQ3",52.49,-92.9711,1082,-6,"A","America/Winnipeg" +5466,"Wunnumin Lake Airport","Wunnumin Lake","Canada","WNN","CKL3",52.8939,-89.2892,819,-5,"A","America/Toronto" +5465,"Wapekeka Airport","Angling Lake","Canada","YAX","CKB6",53.8492,-89.5794,712,-6,"A","America/Winnipeg" +5464,"Summer Beaver Airport","Summer Beaver","Canada","SUR","CJV7",52.7086,-88.5419,832,-5,"A","America/Toronto" +5463,"Whatì Airport","Whatì","Canada","YLE","CEM3",63.1317,-117.246,882,-7,"A","America/Edmonton" +5462,"Colville Lake Airport","Colville Lake","Canada","YCK","CEB3",67.0333,-126.083,850,-7,"A","America/Edmonton" +5461,"Rigolet Airport","Rigolet","Canada","YRG","CCZ2",54.1797,-58.4575,180,-4,"A","America/Halifax" +5460,"Port Hope Simpson Airport","Port Hope Simpson","Canada","YHA","CCP4",52.5281,-56.2861,347,-3.5,"A","America/St_Johns" +5459,"St. Lewis (Fox Harbour) Airport","St. Lewis","Canada","YFX","CCK4",52.3728,-55.6739,74,-3.5,"A","America/St_Johns" +5458,"Williams Harbour Airport","Williams Harbour","Canada","YWM","CCA6",52.5669,-55.7847,70,-3.5,"A","America/St_Johns" +5457,"Anahim Lake Airport","Anahim Lake","Canada","YAA","CAJ4",52.4525,-125.303,3635,-8,"A","America/Vancouver" +5456,"Whistler/Green Lake Water Aerodrome","Whistler","Canada","YWS","CAE5",50.1436,-122.949,2100,-8,"A","America/Vancouver" +5455,"Punta Gorda Airport","Punta Gorda","Belize","PND","",16.1024,-88.8083,7,-6,"U","America/Belize" +5454,"Caye Caulker Airport","Caye Caulker","Belize","CUK","",17.7347,-88.0325,1,-6,"U","America/Belize" +5453,"Vopnafjörður Airport","Vopnafjörður","Iceland","VPN","BIVO",65.7206,-14.8506,0,0,"N","Atlantic/Reykjavik" +5452,"Thorshofn Airport","Thorshofn","Iceland","THO","BITN",66.2185,-15.3356,65,0,"N","Atlantic/Reykjavik" +6945,"Drake Bay Airport","Puntarenas","Costa Rica","DRK","MRDK",8.71889,-83.6417,12,-6,"N","America/Costa_Rica" +5450,"Grímsey Airport","Grímsey","Iceland","GRY","BIGR",66.5547,-18.0175,66,0,"N","Atlantic/Reykjavik" +5449,"Qaarsut Airport","Uummannaq","Greenland","JQA","BGUQ",70.7342,-52.6962,289,-3,"E","America/Godthab" +5448,"Upernavik Airport","Upernavik","Greenland","JUV","BGUK",72.7902,-56.1306,414,-3,"E","America/Godthab" +5447,"Sisimiut Airport","Sisimiut","Greenland","JHS","BGSS",66.9513,-53.7293,33,-3,"E","America/Godthab" +5446,"Qaanaaq Airport","Qaanaaq","Greenland","NAQ","BGQQ",77.4886,-69.3887,51,-4,"E","America/Thule" +5445,"Narsaq Heliport","Narsaq","Greenland","JNS","BGNS",60.9167,-46.0586,0,-3,"E","America/Godthab" +5444,"Nanortalik Heliport","Nanortalik","Greenland","JNN","BGNN",60.14,-45.2317,0,-3,"E","America/Godthab" +5443,"Maniitsoq Airport","Maniitsoq","Greenland","JSU","BGMQ",65.4125,-52.9394,91,-3,"E","America/Godthab" +5442,"Qaqortoq Heliport","Qaqortoq","Greenland","JJU","BGJH",60.7158,-46.0294,0,-3,"E","America/Godthab" +5441,"Qeqertarsuaq Heliport","Qeqertarsuaq Airport","Greenland","JGO","BGGN",69.2511,-53.5381,0,-3,"E","America/Godthab" +5440,"Paamiut Heliport","Paamiut","Greenland","JFR","BGFH",61.9922,-49.6625,0,-3,"E","America/Godthab" +5439,"Neerlerit Inaat Airport","Neerlerit Inaat","Greenland","CNP","BGCO",70.7433,-22.6606,45,-1,"E","America/Scoresbysund" +5438,"Alluitsup Paa Heliport","Alluitsup Paa","Greenland","LLU","BGAP",60.4644,-45.5778,89,-3,"E","America/Godthab" +5437,"Wapenamanda Airport","Wapenamanda","Papua New Guinea","WBM","AYWD",-5.6433,143.895,5889,10,"U","Pacific/Port_Moresby" +5436,"Vanimo Airport","Vanimo","Papua New Guinea","VAI","AYVN",-2.69717,141.302,10,10,"U","Pacific/Port_Moresby" +5435,"Tokua Airport","Tokua","Papua New Guinea","RAB","AYTK",-4.34046,152.38,32,10,"U","Pacific/Port_Moresby" +5434,"Tabubil Airport","Tabubil","Papua New Guinea","TBG","AYTB",-5.27861,141.226,1570,10,"U","Pacific/Port_Moresby" +5433,"Tari Airport","Tari","Papua New Guinea","TIZ","AYTA",-5.845,142.948,5500,10,"U","Pacific/Port_Moresby" +5432,"Misima Island Airport","Misima Island","Papua New Guinea","MIS","AYMS",-10.6892,152.838,26,10,"U","Pacific/Port_Moresby" +5431,"Moro Airport","Moro","Papua New Guinea","MXH","AYMR",-6.36333,143.238,2740,10,"U","Pacific/Port_Moresby" +5430,"Momote Airport","Momote","Papua New Guinea","MAS","AYMO",-2.06189,147.424,12,10,"U","Pacific/Port_Moresby" +5429,"Mendi Airport","Mendi","Papua New Guinea","MDU","AYMN",-6.14774,143.657,5680,10,"U","Pacific/Port_Moresby" +5428,"Kavieng Airport","Kavieng","Papua New Guinea","KVG","AYKV",-2.5794,150.808,7,10,"U","Pacific/Port_Moresby" +5427,"Kerema Airport","Kerema","Papua New Guinea","KMA","AYKM",-7.96361,145.771,10,10,"U","Pacific/Port_Moresby" +5426,"Kikori Airport","Kikori","Papua New Guinea","KRI","AYKK",-7.42438,144.25,50,10,"U","Pacific/Port_Moresby" +5425,"Kiunga Airport","Kiunga","Papua New Guinea","UNG","AYKI",-6.12571,141.282,88,10,"U","Pacific/Port_Moresby" +5424,"Kimbe Airport","Hoskins","Papua New Guinea","HKN","AYHK",-5.46217,150.405,66,10,"U","Pacific/Port_Moresby" +5423,"Girua Airport","Girua","Papua New Guinea","PNP","AYGR",-8.80454,148.309,311,10,"U","Pacific/Port_Moresby" +5422,"Gurney Airport","Gurney","Papua New Guinea","GUR","AYGN",-10.3115,150.334,88,10,"U","Pacific/Port_Moresby" +5421,"Daru Airport","Daru","Papua New Guinea","DAU","AYDU",-9.08676,143.208,20,10,"U","Pacific/Port_Moresby" +5420,"Chimbu Airport","Kundiawa","Papua New Guinea","CMU","AYCH",-6.02429,144.971,4974,10,"U","Pacific/Port_Moresby" +5419,"Buka Airport","Buka Island","Papua New Guinea","BUA","AYBK",-5.42232,154.673,11,10,"U","Pacific/Port_Moresby" +5418,"Ramata Airport","Ramata","Solomon Islands","RBV","AGRM",-8.16806,157.643,0,11,"U","Pacific/Guadalcanal" +5417,"Kagau Island Airport","Kagau Island","Solomon Islands","KGE","AGKG",-7.333,157.583,0,11,"U","Pacific/Guadalcanal" +5416,"Suavanao Airport","Suavanao","Solomon Islands","VAO","AGGV",-7.58556,158.731,0,11,"U","Pacific/Guadalcanal" +5415,"Marau Airport","Marau","Solomon Islands","RUS","AGGU",-9.86167,160.825,0,11,"U","Pacific/Guadalcanal" +5414,"Rennell/Tingoa Airport","Rennell Island","Solomon Islands","RNL","AGGR",-11.5339,160.063,0,11,"U","Pacific/Guadalcanal" +5413,"Mono Airport","Stirling Island","Solomon Islands","MNY","AGGO",-7.41694,155.565,0,11,"U","Pacific/Guadalcanal" +5412,"Nusatupe Airport","Gizo","Solomon Islands","GZO","AGGN",-8.09778,156.864,13,11,"U","Pacific/Guadalcanal" +5411,"Munda Airport","Munda","Solomon Islands","MUA","AGGM",-8.32797,157.263,10,11,"U","Pacific/Guadalcanal" +5410,"Santa Cruz/Graciosa Bay/Luova Airport","Santa Cruz/Graciosa Bay/Luova","Solomon Islands","SCZ","AGGL",-10.7203,165.795,18,11,"U","Pacific/Guadalcanal" +5409,"Ngorangora Airport","Kirakira","Solomon Islands","IRA","AGGK",-10.4497,161.898,0,11,"U","Pacific/Guadalcanal" +5408,"Babanakira Airport","Mbambanakira","Solomon Islands","MBU","AGGI",-9.7475,159.839,0,11,"U","Pacific/Guadalcanal" +5407,"Fera/Maringe Airport","Fera Island","Solomon Islands","FRE","AGGF",-8.1075,159.577,0,11,"U","Pacific/Guadalcanal" +5406,"Ballalae Airport","Ballalae","Solomon Islands","BAS","AGGE",-6.967,155.883,5,11,"U","Pacific/Guadalcanal" +5405,"Auki Airport","Auki","Solomon Islands","AKS","AGGA",-8.70257,160.682,5,11,"U","Pacific/Guadalcanal" +5404,"Uru Harbour Airport","Atoifi","Solomon Islands","ATD","AGAT",-8.87333,161.011,0,11,"U","Pacific/Guadalcanal" +6097,"Komsomolsk-on-Amur Airport","Komsomolsk-on-Amur","Russia","KXK","UHKK",50.4094,136.934,92,11,"N","Asia/Vladivostok" +6096,"Moyo Airport","Moyo","Uganda","OYG","",3.633,31.75,0,3,"U","Africa/Kampala" +6095,"Tiksi Airport","Tiksi","Russia","IKS","UEST",71.6977,128.903,26,10,"N","Asia/Yakutsk" +6094,"Cherskiy Airport","Cherskiy","Russia","CYX","UESS",68.7406,161.338,20,12,"N","Asia/Magadan" +6093,"Chokurdakh Airport","Chokurdah","Russia","CKH","UESO",70.6231,147.902,151,12,"N","Asia/Magadan" +6091,"Chulman","Neryungri","Russia","CNN","UELL",56.9139,124.914,2812,10,"N","Asia/Yakutsk" +6088,"Kostanay West Airport","Kostanay","Kazakhstan","KSN","UAUU",53.206944,63.550278,595,6,"U","Asia/Qyzylorda" +6085,"Zhezkazgan Airport","Zhezkazgan","Kazakhstan","DZN","UAKD",47.708333,67.733333,1250,6,"U","Asia/Qyzylorda" +6083,"Kokshetau Airport","Kokshetau","Kazakhstan","KOV","UACK",53.3291,69.5946,900,6,"U","Asia/Qyzylorda" +6082,"Union Island International Airport","Union Island","Saint Vincent and the Grenadines","UNI","TVSU",12.583,-61.417,16,-4,"U","America/St_Vincent" +6081,"J F Mitchell Airport","Bequia","Saint Vincent and the Grenadines","BQU","TVSB",12.988444,-61.262033,15,-4,"U","America/St_Vincent" +6080,"Virgin Gorda Airport","Spanish Town","British Virgin Islands","VIJ","TUPW",18.4464,-64.4275,9,-4,"U","America/Tortola" +6079,"Vance Winkworth Amory International Airport","Charlestown","Saint Kitts and Nevis","NEV","TKPN",17.205678,-62.589869,14,-4,"U","America/St_Kitts" +6076,"Baillif Airport","Basse Terre","Guadeloupe","BBR","TFFB",16.0133,-61.7422,59,-4,"U","America/Guadeloupe" +6075,"La Désirade Airport","Grande Anse","Guadeloupe","DSD","TFFA",16.2969,-61.0844,10,-4,"U","America/Guadeloupe" +6072,"Juan Pablo Pérez Alfonso Airport","El Vigía","Venezuela","VIG","SVVG",8.6241,-71.672819,250,-4.5,"U","America/Caracas" +6070,"El Jaguel / Punta del Este Airport","Maldonado","Uruguay","MDO","SUPE",-34.917,-54.917,66,-3,"S","America/Montevideo" +6069,"Santa Rosa Airport","Santa Rosa","Brazil","SRA","SSZR",-27.9067,-54.5204,984,-3,"S","America/Sao_Paulo" +6067,"Alferez Fap David Figueroa Fernandini Airport","Huánuco","Peru","HUU","SPNC",-9.878811,-76.204797,6070,-5,"U","America/Lima" +6065,"Caballococha Airport","Caballococha","Peru","LHC","SPBC",-3.916858,-70.508225,328,-5,"U","America/Lima" +6060,"Capitán Av. German Quiroga G. Airport","San Borja","Bolivia","SRJ","SLSB",-14.8592,-66.7375,633,-4,"U","America/La_Paz" +6058,"Capitán Av. Selin Zeitun Lopez Airport","Riberalta","Bolivia","RIB","SLRI",-11,-66,462,-4,"U","America/La_Paz" +6056,"Capitán de Av. Emilio Beltrán Airport","Guayaramerín","Bolivia","GYA","SLGY",-10.8206,-65.3456,557,-4,"U","America/La_Paz" +6054,"Obando Airport","Puerto Inírida","Colombia","PDA","SKPD",3.85,-67.91,460,-5,"U","America/Bogota" +6053,"Reyes Murillo Airport","Nuquí","Colombia","NQU","SKNQ",5.7,-77.28,12,-5,"U","America/Bogota" +6052,"La Pedrera Airport","La Pedrera","Colombia","LPD","SKLP",-1.33,-69.58,590,-5,"U","America/Bogota" +6051,"Caucaya Airport","Puerto Leguízamo","Colombia","LQM","SKLG",-0.18,-74.77,573,-5,"U","America/Bogota" +6050,"La Jagua Airport","Garzón","Colombia","GLJ","SKGZ",2.17,-75.67,2620,-5,"U","America/Bogota" +6049,"Santa Ana Airport","Cartago","Colombia","CRC","SKGO",4.758181,-75.955753,2979,-5,"U","America/Bogota" +6048,"Stanley Airport","Stanley","Falkland Islands","PSY","SFAL",-51.685672,-57.777644,75,-3,"U","Atlantic/Stanley" +6046,"Camilo Ponce Enriquez Airport","La Toma (Catamayo)","Ecuador","LOH","SETM",-3.99589,-79.3719,4056,-5,"U","America/Guayaquil" +6045,"San Cristóbal Airport","San Cristóbal","Ecuador","SCY","SEST",-0.910206,-89.61745,62,-6,"U","Pacific/Galapagos" +6044,"Sorocaba Airport","Sorocaba","Brazil","SOD","SDCO",-23.478,-47.49,2077,-3,"S","America/Sao_Paulo" +6042,"Ricardo García Posada Airport","El Salvador","Chile","ESR","SCES",-26.3111,-69.7652,5240,-4,"S","America/Santiago" +6039,"Vitória da Conquista Airport","Vitória Da Conquista","Brazil","VDC","SBQV",-14.862761,-40.863106,2998,-3,"S","America/Fortaleza" +6038,"Marília Airport","Marília","Brazil","MII","SBML",-22.196892,-49.9264,2122,-3,"S","America/Sao_Paulo" +6037,"Macaé Airport","Macaé","Brazil","MEA","SBME",-22.343,-41.766,8,-3,"S","America/Sao_Paulo" +6033,"Necochea Airport","Necochea","Argentina","NEC","SAZO",-38.483056,-58.817222,72,-3,"N","America/Cordoba" +6030,"Lago Argentino Airport","El Calafate","Argentina","ING","SAWA",-50.3361,-72.2486,732,-3,"N","America/Cordoba" +6026,"Roxas Airport","Roxas City","Philippines","RXS","RPVR",11.597669,122.751669,10,8,"N","Asia/Manila" +6023,"Calbayog Airport","Calbayog City","Philippines","CYP","RPVC",12.072706,124.545092,12,8,"N","Asia/Manila" +6022,"Virac Airport","Virac","Philippines","VRC","RPUV",13.576439,124.205672,121,8,"N","Asia/Manila" +6021,"Tuguegarao Airport","Tuguegarao","Philippines","TUG","RPUT",17.638311,121.730614,70,8,"N","Asia/Manila" +6020,"San Fernando Airport","San Fernando","Philippines","SFE","RPUS",16.595589,120.303219,13,8,"N","Asia/Manila" +6019,"Basco Airport","Basco","Philippines","BSO","RPUO",20.451322,121.979883,291,8,"N",\N +6018,"Naga Airport","Naga","Philippines","WNP","RPUN",13.584886,123.270239,142,8,"N","Asia/Manila" +6017,"Tandag Airport","Tandag","Philippines","TDG","RPMW",9.07211,126.171,16,8,"N","Asia/Manila" +6016,"Surigao Airport","Sangley Point","Philippines","SUG","RPMS",9.757567,125.479328,20,8,"N","Asia/Manila" +6507,"Fremont Airport","Fremont","United States","",\N,41.3331,-83.1612,663,-5,"A","America/New_York" +6014,"Sanga Sanga Airport","Sanga Sanga","Philippines","SGS","RPMN",5.04699,119.743,15,8,"N","Asia/Manila" +6011,"General Santos International Airport","General Santos City","Philippines","GES","RPMB",6.106439,125.2353,28,8,"N","Asia/Manila" +6009,"Subic Bay International Airport","Olongapo City","Philippines","SFS","RPLB",14.7944,120.271,64,8,"N","Asia/Manila" +6006,"Yangyang International Airport","Sokcho / Gangneung","South Korea","YNY","RKNY",38.061311,128.669164,241,9,"U","Asia/Seoul" +6098,"Ugolny Airport","Anadyr","Russia","DYR","UHMA",64.73495,177.741483,194,12,"N","Asia/Magadan" +6099,"Okhotsk Airport","Okhotsk","Russia","OHO","UHOO",59.4101,143.057,0,11,"N","Asia/Vladivostok" +6100,"Ujae Atoll Airport","Ujae Atoll","Marshall Islands","UJE","UJAP",8.92806,165.762,0,12,"U","Pacific/Majuro" +6101,"Mariupol International Airport","Mariupol International","Ukraine","MPW","UKCM",47.0761,37.4496,251,2,"E","Europe/Kiev" +6102,"Luhansk International Airport","Lugansk","Ukraine","VSG","UKCW",48.4174,39.3741,636,2,"E","Europe/Kiev" +6103,"Zaporizhzhia International Airport","Zaporozhye","Ukraine","OZH","UKDE",47.867,35.3157,373,2,"E","Europe/Kiev" +6104,"Lozuvatka International Airport","Krivoy Rog","Ukraine","KWG","UKDR",48.0433,33.21,408,2,"E","Europe/Kiev" +6105,"Osnova International Airport","Kharkov","Ukraine","HRK","UKHH",49.924786,36.289986,508,2,"E","Europe/Kiev" +6106,"Ivano Frankivsk International Airport","Ivano-Frankivsk","Ukraine","IFO","UKLI",48.884167,24.686111,919,2,"E","Europe/Kiev" +6107,"Chernivtsi International Airport","Chernovtsk","Ukraine","CWC","UKLN",48.259322,25.980831,826,2,"E","Europe/Kiev" +6108,"Rivne International Airport","Rivne","Ukraine","RWN","UKLR",50.6071,26.1416,755,2,"E","Europe/Kiev" +6109,"Uzhhorod International Airport","Uzhgorod","Ukraine","UDJ","UKLU",48.634278,22.263356,383,2,"E","Europe/Kiev" +6110,"Solovki Airport","Solovetsky Islands","Russia","CSH","ULAS",65.03,35.7333,0,4,"N","Europe/Moscow" +6111,"Cherepovets Airport","Cherepovets","Russia","CEE","ULBC",59.2736,38.0158,377,4,"N","Europe/Moscow" +6112,"Amderma Airport","Amderma","Russia","AMV","ULDD",69.7633,61.5564,13,4,"N","Europe/Moscow" +6113,"Kotlas Airport","Kotlas","Russia","KSZ","ULKK",61.2358,46.6975,184,4,"N","Europe/Moscow" +6114,"Petrozavodsk Airport","Petrozavodsk","Russia","PES","ULPB",61.8852,34.1547,151,4,"N","Europe/Moscow" +6115,"Hrodno Airport","Hrodna","Belarus","GNA","UMMG",53.602,24.0538,443,3,"E","Europe/Minsk" +6116,"Mogilev Airport","Mogilev","Belarus","MVQ","UMOO",53.9549,30.0951,637,3,"E","Europe/Minsk" +6117,"Yeniseysk Airport","Yeniseysk","Russia","EIE","UNII",58.4742,92.1125,253,8,"N","Asia/Krasnoyarsk" +6118,"Kyzyl Airport","Kyzyl","Russia","KYZ","UNKY",51.6694,94.4006,2123,8,"N","Asia/Krasnoyarsk" +6119,"Spichenkovo Airport","Novokuznetsk","Russia","NOZ","UNWW",53.8114,86.8772,1024,7,"N","Asia/Omsk" +6120,"Khatanga Airport","Khatanga","Russia","HTG","UOHH",71.978058,102.490514,95,8,"N","Asia/Krasnoyarsk" +6121,"Igarka Airport","Igarka","Russia","IAA","UOII",67.4372,86.6219,82,8,"N","Asia/Krasnoyarsk" +6122,"Grozny Airport","Grozny","Russia","GRV","URMG",43.2981,45.7841,548,4,"N","Europe/Moscow" +6123,"Nalchik Airport","Nalchik","Russia","NAL","URMN",43.5129,43.6366,1461,4,"N","Europe/Moscow" +6124,"Beslan Airport","Beslan","Russia","OGZ","URMO",43.2051,44.6066,1673,4,"N","Europe/Moscow" +6125,"Elista Airport","Elista","Russia","ESL","URWI",46.3739,44.3309,501,4,"N","Europe/Moscow" +6126,"Aleknagik Airport","Aleknagik","United States","WKK","5A8",59.2826,-158.618,66,-9,"A","America/Anchorage" +6127,"Brookings Regional Airport","Brookings","United States","BKX","BKX",44.3048,-96.8169,1648,-6,"A","America/Chicago" +6128,"Mercer County Airport","Bluefield","United States","BLF","BLF",37.2958,-81.2077,2857,-5,"A","America/New_York" +6129,"Kearney Municipal Airport","Kearney","United States","EAR","EAR",40.727,-99.0068,2131,-6,"A","America/Chicago" +6130,"Mid Delta Regional Airport","Greenville","United States","GLH","GLH",33.4829,-90.9856,131,-6,"A","America/Chicago" +6131,"Laughlin-Bullhead Intl","Bullhead","United States","IFP","IFP",35.1574,-114.56,695,-7,"A","America/Phoenix" +6132,"Kingman Airport","Kingman","United States","IGM","IGM",35.2595,-113.938,3449,-7,"A","America/Phoenix" +6133,"Tri Cities Airport","Pasco","United States","PSC","PSC",46.2647,-119.119,410,-8,"A","America/Los_Angeles" +6134,"Akutan Seaplane Base","Akutan","United States","KQA","KQA",54.1325,-165.785,0,-9,"A","America/Anchorage" +6135,"Grant County Airport","Silver City","United States","SVC","SVC",32.6365,-108.156,5446,-7,"A","America/Denver" +6136,"Lopez Island Airport","Lopez","United States","LPS","S31",48.4839,-122.938,209,-8,"A","America/Los_Angeles" +6137,"Salekhard Airport","Salekhard","Russia","SLY","USDD",66.590753,66.611042,218,6,"N","Asia/Yekaterinburg" +6138,"Khanty Mansiysk Airport","Khanty-Mansiysk","Russia","HMA","USHH",61.028479,69.086067,76,6,"N","Asia/Yekaterinburg" +6139,"Nyagan Airport","Nyagan","Russia","NYA","USHN",62.11,65.615,361,6,"N","Asia/Yekaterinburg" +6140,"Sovetsky Tyumenskaya Airport","Sovetskiy","Russia","OVS","USHS",61.32,63.6044,351,6,"N","Asia/Yekaterinburg" +6141,"Izhevsk Airport","Izhevsk","Russia","IJK","USII",56.8281,53.4575,531,4,"N","Europe/Moscow" +6142,"Pobedilovo Airport","Kirov","Russia","KVX","USKK",58.5033,49.3483,479,4,"N","Europe/Moscow" +6143,"Nadym Airport","Nadym","Russia","NYM","USMM",65.4809,72.6989,49,6,"N","Asia/Yekaterinburg" +6144,"Raduzhny Airport","Raduzhnyi","Russia","RAT","USNR",62.1586,77.3289,250,6,"N","Asia/Yekaterinburg" +6145,"Nefteyugansk Airport","Nefteyugansk","Russia","NFG","USRN",61.1083,72.65,115,6,"N","Asia/Yekaterinburg" +6146,"Kurgan Airport","Kurgan","Russia","KRO","USUU",55.4753,65.4156,240,6,"N","Asia/Yekaterinburg" +6147,"Khudzhand Airport","Khudzhand","Tajikistan","LBD","UTDL",40.2154,69.6947,1450,5,"U","Asia/Dushanbe" +6148,"Andizhan Airport","Andizhan","Uzbekistan","AZN","UTKA",40.7277,72.294,1515,5,"U","Asia/Samarkand" +6149,"Fergana Airport","Fergana","Uzbekistan","FEG","UTKF",40.3588,71.745,1980,5,"U","Asia/Samarkand" +6150,"Namangan Airport","Namangan","Uzbekistan","NMA","UTKN",40.9846,71.5567,1555,5,"U","Asia/Samarkand" +6151,"Nukus Airport","Nukus","Uzbekistan","NCU","UTNN",42.4884,59.6233,246,5,"U","Asia/Samarkand" +6152,"Urgench Airport","Urgench","Uzbekistan","UGC","UTNU",41.5843,60.6417,320,5,"U","Asia/Samarkand" +6153,"Karshi Khanabad Airport","Khanabad","Uzbekistan","KSQ","UTSL",38.8336,65.9215,1365,5,"U","Asia/Samarkand" +6154,"Termez Airport","Termez","Uzbekistan","TMJ","UTST",37.286667,67.31,1027,5,"U","Asia/Samarkand" +6155,"Staroselye Airport","Rybinsk","Russia","RYB","UUBK",58.1042,38.9294,423,4,"N","Europe/Moscow" +6156,"Belgorod International Airport","Belgorod","Russia","EGO","UUOB",50.6438,36.5901,735,4,"N","Europe/Moscow" +6157,"Kursk East Airport","Kursk","Russia","URS","UUOK",51.7506,36.2956,686,4,"N","Europe/Moscow" +6158,"Lipetsk Airport","Lipetsk","Russia","LPK","UUOL",52.7028,39.5378,584,4,"N","Europe/Moscow" +6159,"Vorkuta Airport","Vorkuta","Russia","VKT","UUYW",67.4886,63.9931,604,4,"N","Europe/Moscow" +6160,"Bugulma Airport","Bugulma","Russia","UUA","UWKB",54.64,52.8017,991,4,"N","Europe/Moscow" +6161,"Yoshkar-Ola Airport","Yoshkar-Ola","Russia","JOK","UWKJ",56.7006,47.9047,348,4,"N","Europe/Moscow" +6162,"Cheboksary Airport","Cheboksary","Russia","CSY","UWKS",56.0903,47.3473,558,4,"N","Europe/Moscow" +6163,"Ulyanovsk East Airport","Ulyanovsk","Russia","ULY","UWLW",54.401,48.8027,252,4,"N","Europe/Moscow" +6164,"Orsk Airport","Orsk","Russia","OSW","UWOR",51.0725,58.5956,909,6,"N","Asia/Yekaterinburg" +6165,"Penza Airport","Penza","Russia","PEZ","UWPP",53.1106,45.0211,614,4,"N","Europe/Moscow" +6166,"Saransk Airport","Saransk","Russia","SKX","UWPS",54.1251,45.2123,676,4,"N","Europe/Moscow" +6167,"Balakovo Airport","Balakovo","Russia","BWO","UWSB",51.8583,47.7456,95,4,"N","Europe/Moscow" +6168,"Hubli Airport","Hubli","India","HBX","VAHB",15.3617,75.0849,2171,5.5,"N","Asia/Calcutta" +6169,"Koggala Airport","Koggala","Sri Lanka","KCT","VCCK",5.99368,80.3203,10,5.5,"U","Asia/Colombo" +6170,"Wirawila Airport","Wirawila","Sri Lanka","WRZ","VCCW",6.254494,81.235189,50,5.5,"U","Asia/Colombo" +6171,"Battambang Airport","Battambang","Cambodia","BBM","VDBG",13.0956,103.224,59,7,"U","Asia/Phnom_Penh" +6172,"Shillong Airport","Shillong","India","SHL","VEBI",25.7036,91.9787,2910,5.5,"N","Asia/Calcutta" +6173,"Lokpriya Gopinath Bordoloi International Airport","Guwahati","India","GAU","VEGT",26.106092,91.585939,162,5.5,"N","Asia/Calcutta" +6174,"Dimapur Airport","Dimapur","India","DMU","VEMR",25.8839,93.7711,487,5.5,"N","Asia/Calcutta" +6175,"Tezpur Airport","Tezpur","India","TEZ","VETZ",26.7091,92.7847,240,5.5,"N","Asia/Calcutta" +6176,"Barisal Airport","Barisal","Bangladesh","BZL","VGBR",22.801,90.3012,23,6,"U","Asia/Dhaka" +6177,"Ban Huoeisay Airport","Huay Xai","Laos","OUI","VLHS",20.2573,100.437,1380,7,"N","Asia/Vientiane" +6178,"Kontum Airport","Kontum","Vietnam","KON","",14.35,108.017,1804,7,"U","Asia/Saigon" +6179,"Bharatpur Airport","Bharatpur","Nepal","BHR","VNBP",27.6781,84.4294,600,5.75,"N","Asia/Katmandu" +6180,"Chandragadhi Airport","Chandragarhi","Nepal","BDP","VNCG",26.570822,88.079578,300,5.75,"N","Asia/Katmandu" +6181,"Meghauli Airport","Meghauli","Nepal","MEY","VNMG",27.583,84.233,600,5.75,"N","Asia/Katmandu" +6182,"Nepalgunj Airport","Nepalgunj","Nepal","KEP","VNNG",28.103633,81.667006,540,5.75,"N","Asia/Katmandu" +6183,"Gan Island Airport","Gan Island","Maldives","GAN","VRMG",-0.693342,73.1556,6,5,"U","Indian/Maldives" +6184,"Hanimaadhoo Airport","Haa Dhaalu Atoll","Maldives","HAQ","VRMH",6.74423,73.1705,4,5,"U","Indian/Maldives" +6185,"Kadhdhoo Airport","Laamu Atoll","Maldives","KDO","VRMK",1.85917,73.5219,4,5,"U","Indian/Maldives" +6186,"Mae Sot Airport","Tak","Thailand","MAQ","VTPM",16.699856,98.545056,690,7,"U","Asia/Bangkok" +6187,"Buon Ma Thuot Airport","Buonmethuot","Vietnam","BMV","VVBM",12.668311,108.120272,1729,7,"U","Asia/Saigon" +6188,"Cat Bi International Airport","Haiphong","Vietnam","HPH","VVCI",20.819386,106.724989,6,7,"U","Asia/Saigon" +6189,"Cam Ranh Airport","Nha Trang","Vietnam","CXR","VVCR",11.998153,109.219372,40,7,"U","Asia/Saigon" +6190,"Co Ong Airport","Conson","Vietnam","VCS","VVCS",8.731831,106.632589,20,7,"U","Asia/Saigon" +6191,"Trà Nóc Airport","Can Tho","Vietnam","VCA","VVCT",10.085119,105.711922,9,7,"U","Asia/Saigon" +6192,"Dien Bien Phu Airport","Dienbienphu","Vietnam","DIN","VVDB",21.397481,103.007831,1611,7,"U","Asia/Saigon" +6193,"Phu Cat Airport","Phucat","Vietnam","UIH","VVPC",13.954986,109.042267,80,7,"U","Asia/Saigon" +6194,"Pleiku Airport","Pleiku","Vietnam","PXU","VVPK",14.004522,108.017158,2434,7,"U","Asia/Saigon" +6195,"Vinh Airport","Vinh","Vietnam","VII","VVVH",18.737569,105.670764,23,7,"U","Asia/Saigon" +6196,"Banmaw Airport","Banmaw","Burma","BMO","VYBM",24.269033,97.246153,370,6.5,"U","Asia/Rangoon" +6197,"Dawei Airport","Dawei","Burma","TVY","VYDW",14.103886,98.203636,84,6.5,"U","Asia/Rangoon" +6198,"Kawthoung Airport","Kawthoung","Burma","KAW","VYKT",10.049258,98.538006,180,6.5,"U","Asia/Rangoon" +6199,"Loikaw Airport","Loikaw","Burma","LIW","VYLK",19.691494,97.214825,2940,6.5,"U","Asia/Rangoon" +6200,"Mawlamyine Airport","Mawlamyine","Burma","MNU","VYMM",16.444747,97.660669,52,6.5,"U","Asia/Rangoon" +6201,"Pathein Airport","Pathein","Burma","BSX","VYPN",16.815233,94.779911,20,6.5,"U","Asia/Rangoon" +6202,"Pakhokku Airport","Pakhokku","Burma","PKK","VYPU",21.3333,95.1,151,6.5,"U","Asia/Rangoon" +6203,"Sumbawa Besar Airport","Sumbawa Island","Indonesia","SWQ","WADS",-8.489039,117.412119,16,8,"N","Asia/Makassar" +6204,"Tambolaka Airport","Waikabubak-Sumba Island","Indonesia","TMC","WADT",-9.409717,119.244494,161,8,"N","Asia/Makassar" +6205,"Bokondini Airport","Bokondini-Papua Island","Indonesia","BUI","WAJB",-3.58365,138.533,9104,9,"N","Asia/Jayapura" +6206,"Senggeh Airport","Senggeh-Papua Island","Indonesia","SEH","WAJS",-3.43333,140.817,914,9,"N","Asia/Jayapura" +6207,"Tanjung Harapan Airport","Tanjung Selor-Borneo Island","Indonesia","TJS","WALG",2.83641,117.374,10,8,"N","Asia/Makassar" +6208,"Datadawai Airport","Datadawai-Borneo Island","Indonesia","DTD","WALJ",0.717,116.483,229,8,"N","Asia/Makassar" +6209,"Barau(Kalimaru) Airport","Tanjung Redep-Borneo Island","Indonesia","BEJ","WALK",2.155497,117.432256,59,8,"N","Asia/Makassar" +6210,"Warukin Airport","Tanjung-Borneo Island","Indonesia","TJG","WAON",-2.21656,115.436,197,8,"N","Asia/Makassar" +6211,"Sampit(Hasan) Airport","Sampit-Borneo Island","Indonesia","SMQ","WAOS",-2.499194,112.974992,50,7,"N","Asia/Jakarta" +6212,"Dumatubun Airport","Langgur-Kei Islands","Indonesia","LUV","WAPL",-5.661619,132.731431,10,9,"N","Asia/Jayapura" +6213,"Mali Airport","Alor Island","Indonesia","ARD","WATM",-8.13234,124.597,10,8,"N","Asia/Makassar" +6214,"Belaga Airport","Belaga","Malaysia","BLG","WBGC",2.65,113.767,200,8,"N","Asia/Kuala_Lumpur" +6215,"Long Lellang Airport","Long Datih","Malaysia","LGL","WBGF",3.421,115.154,1400,8,"N","Asia/Kuala_Lumpur" +6216,"Long Seridan Airport","Long Seridan","Malaysia","ODN","WBGI",3.967,115.05,607,8,"N","Asia/Kuala_Lumpur" +6217,"Mukah Airport","Mukah","Malaysia","MKM","WBGK",2.90639,112.08,13,8,"N","Asia/Kuala_Lumpur" +6218,"Bakalalan Airport","Bakalalan","Malaysia","BKM","WBGQ",3.974,115.618,2900,8,"N","Asia/Kuala_Lumpur" +6219,"Lawas Airport","Lawas","Malaysia","LWY","WBGW",4.84917,115.408,5,8,"N","Asia/Kuala_Lumpur" +6220,"Bario Airport","Bario","Malaysia","BBN","WBGZ",3.73389,115.479,3350,8,"N","Asia/Kuala_Lumpur" +6221,"Tomanggong Airport","Tomanggong","Malaysia","TMG","WBKM",5.4,118.65,26,8,"N","Asia/Kuala_Lumpur" +6222,"Kudat Airport","Kudat","Malaysia","KUD","WBKT",6.9225,116.836,10,8,"N","Asia/Kuala_Lumpur" +6223,"Radin Inten II (Branti) Airport","Bandar Lampung-Sumatra Island","Indonesia","TKG","WICT",-5.242339,105.178939,282,7,"N","Asia/Jakarta" +6224,"Halim Perdanakusuma International Airport","Jakarta","Indonesia","HLP","WIHH",-6.26661,106.891,84,7,"N","Asia/Jakarta" +6225,"Ranai Airport","Ranai-Natuna Besar Island","Indonesia","NTX","WION",3.908714,108.387897,7,7,"N","Asia/Jakarta" +6226,"Pangsuma Airport","Putussibau-Borneo Island","Indonesia","PSU","WIOP",0.835578,112.937144,297,7,"N","Asia/Jakarta" +6227,"Susilo Airport","Sintang-Borneo Island","Indonesia","SQG","WIOS",0.063619,111.473428,98,7,"N","Asia/Jakarta" +6228,"Pendopo Airport","Talang Gudang-Sumatra Island","Indonesia","PDO","WIPQ",-3.286069,103.8796,184,7,"N","Asia/Jakarta" +6229,"Malikus Saleh Airport","Lhok Seumawe-Sumatra Island","Indonesia","LSW","WITM",5.226681,96.950342,90,7,"N","Asia/Jakarta" +6230,"Pulau Pangkor Airport","Pangkor Island","Malaysia","PKG","WMPA",4.24472,100.553,19,8,"N","Asia/Kuala_Lumpur" +6231,"Stagen Airport","Laut Island","Indonesia","KBU","WRBK",-3.29472,116.165,4,8,"N","Asia/Makassar" +6232,"Long Bawan Airport","Long Bawan-Borneo Island","Indonesia","LBW","WRLB",3.867,115.683,3590,8,"N","Asia/Makassar" +6233,"Nunukan Airport","Nunukan-Nunukan Island","Indonesia","NNX","WRLF",4.13653,117.667,52,8,"N","Asia/Makassar" +6234,"Long Apung Airport","Long Apung-Borneo Island","Indonesia","LPU","WRLP",0.583,115.6,627,8,"N","Asia/Makassar" +6235,"Albany Airport","Albany","Australia","ALH","YABA",-34.9433,117.809,233,8,"O","Australia/Perth" +6236,"Argyle Airport","Argyle","Australia","GYL","YARG",-16.6369,128.451,522,8,"O","Australia/Perth" +6237,"Aurukun Airport","Aurukun","Australia","AUU","YAUR",-13.3539,141.721,31,10,"O","Australia/Brisbane" +6238,"Barcaldine Airport","Barcaldine","Australia","BCI","YBAR",-23.5653,145.307,878,10,"O","Australia/Brisbane" +6239,"Badu Island Airport","Badu Island","Australia","BDD","YBAU",-10.15,141.175,14,9,"O",\N +6240,"Birdsville Airport","Birdsville","Australia","BVI","YBDV",-25.8975,139.348,159,10,"O","Australia/Brisbane" +6241,"Broken Hill Airport","Broken Hill","Australia","BHQ","YBHI",-32.0014,141.472,958,9.5,"O","Australia/Adelaide" +6242,"Hamilton Island Airport","Hamilton Island","Australia","HTI","YBHM",-20.3581,148.952,15,10,"O","Australia/Brisbane" +6243,"Bedourie Airport","Bedourie","Australia","BEU","YBIE",-24.3461,139.46,300,10,"O","Australia/Brisbane" +6244,"Bourke Airport","Bourke","Australia","BRK","YBKE",-30.0392,145.952,352,10,"O","Australia/Sydney" +6245,"Burketown Airport","Burketown","Australia","BUC","YBKT",-17.7486,139.534,21,10,"O","Australia/Brisbane" +6246,"Boigu Airport","Boigu","Australia","GIC","YBOI",-9.23278,142.218,23,10,"O",\N +6247,"Oakey Airport","Oakey","Australia","OKY","YBOK",-27.411389,151.735278,1335,10,"O","Australia/Brisbane" +6248,"Boulia Airport","Boulia","Australia","BQL","YBOU",-22.9133,139.9,542,10,"O","Australia/Brisbane" +6249,"Bathurst Airport","Bathurst","Australia","BHS","YBTH",-33.4094,149.652,2435,10,"O","Australia/Sydney" +6250,"Blackwater Airport","Blackwater","Australia","BLT","YBTR",-23.6031,148.807,657,10,"O","Australia/Brisbane" +6251,"Carnarvon Airport","Carnarvon","Australia","CVQ","YCAR",-24.8806,113.672,13,8,"O","Australia/Perth" +6252,"Cobar Airport","Cobar","Australia","CAZ","YCBA",-31.5383,145.794,724,10,"O","Australia/Sydney" +6253,"Coober Pedy Airport","Coober Pedy","Australia","CPD","YCBP",-29.04,134.721,740,9.5,"O","Australia/Adelaide" +6254,"Coconut Island Airport","Coconut Island","Australia","CNC","YCCT",-10.05,143.07,3,10,"O",\N +6255,"Cloncurry Airport","Cloncurry","Australia","CNJ","YCCY",-20.6686,140.504,616,10,"O","Australia/Brisbane" +6256,"Ceduna Airport","Ceduna","Australia","CED","YCDU",-32.1306,133.71,77,9.5,"O","Australia/Adelaide" +6257,"Cooktown Airport","Cooktown","Australia","CTN","YCKN",-15.4447,145.184,26,10,"O","Australia/Brisbane" +6258,"Cunnamulla Airport","Cunnamulla","Australia","CMA","YCMU",-28.03,145.622,630,10,"O","Australia/Brisbane" +6259,"Coonamble Airport","Coonamble","Australia","CNB","YCNM",-30.9833,148.376,604,10,"O","Australia/Sydney" +6260,"Coen Airport","Coen","Australia","CUQ","YCOE",-13.7608,143.114,532,10,"O","Australia/Brisbane" +6261,"Cooma Snowy Mountains Airport","Cooma","Australia","OOM","YCOM",-36.3006,148.974,3088,10,"O","Australia/Sydney" +6262,"Doomadgee Airport","Doomadgee","Australia","DMD","YDMG",-17.9403,138.822,153,10,"O","Australia/Brisbane" +6263,"Darnley Island Airport","Darnley Island","Australia","NLF","YDNI",-9.58333,143.767,0,10,"O",\N +6264,"Devonport Airport","Devonport","Australia","DPO","YDPO",-41.1697,146.43,33,10,"O","Australia/Melbourne" +6265,"Elcho Island Airport","Elcho Island","Australia","ELC","YELD",-12.0194,135.571,101,9.5,"O","Australia/Darwin" +6266,"Esperance Airport","Esperance","Australia","EPR","YESP",-33.6844,121.823,470,8,"O","Australia/Perth" +6267,"Flinders Island Airport","Flinders Island","Australia","FLS","YFLI",-40.0917,147.993,10,10,"O","Australia/Melbourne" +6268,"Geraldton Airport","Geraldton","Australia","GET","YGEL",-28.7961,114.707,121,8,"O","Australia/Perth" +6269,"Gladstone Airport","Gladstone","Australia","GLT","YGLA",-23.8697,151.223,64,10,"O","Australia/Brisbane" +6270,"Groote Eylandt Airport","Groote Eylandt","Australia","GTE","YGTE",-13.975,136.46,53,9.5,"O","Australia/Darwin" +6271,"Griffith Airport","Griffith","Australia","GFF","YGTH",-34.2508,146.067,439,10,"O","Australia/Sydney" +6272,"Horn Island Airport","Horn Island","Australia","HID","YHID",-10.5864,142.29,43,10,"O","Australia/Brisbane" +6273,"Hooker Creek Airport","Hooker Creek","Australia","HOK","YHOO",-18.3367,130.638,320,9.5,"O","Australia/Darwin" +6274,"Mount Hotham Airport","Mount Hotham","Australia","MHU","YHOT",-37.0475,147.334,4260,10,"O","Australia/Hobart" +6275,"Hughenden Airport","Hughenden","Australia","HGD","YHUG",-20.815,144.225,1043,10,"O","Australia/Brisbane" +6276,"Julia Creek Airport","Julia Creek","Australia","JCK","YJLC",-20.6683,141.723,404,10,"O","Australia/Brisbane" +6277,"Kalbarri Airport","Kalbarri","Australia","KAX","YKBR",-27.69,114.262,157,8,"O","Australia/Perth" +6278,"King Island Airport","King Island","Australia","KNS","YKII",-39.8775,143.878,132,10,"O","Australia/Melbourne" +6279,"Kalkgurung Airport","Kalkgurung","Australia","KFG","YKKG",-17.4319,130.808,646,9.5,"O","Australia/Darwin" +6280,"Karumba Airport","Karumba","Australia","KRB","YKMB",-17.4567,140.83,5,10,"O","Australia/Brisbane" +6281,"Kowanyama Airport","Kowanyama","Australia","KWM","YKOW",-15.4856,141.751,35,10,"O","Australia/Brisbane" +6282,"Kubin Airport","Kubin","Australia","KUG","YKUB",-10.225,142.218,15,10,"O","Australia/Brisbane" +6283,"Leonora Airport","Leonora","Australia","LNO","YLEO",-28.8781,121.315,1217,8,"O","Australia/Perth" +6284,"Lake Evella Airport","Lake Evella","Australia","LEL","YLEV",-12.4989,135.806,256,9.5,"O","Australia/Darwin" +6285,"Lord Howe Island Airport","Lord Howe Island","Australia","LDH","YLHI",-31.5383,159.077,5,10.5,"O",\N +6286,"Lockhart River Airport","Lockhart River","Australia","IRG","YLHR",-12.7869,143.305,77,10,"O","Australia/Brisbane" +6287,"Lismore Airport","Lismore","Australia","LSY","YLIS",-28.8303,153.26,35,10,"O","Australia/Sydney" +6288,"Lightning Ridge Airport","Lightning Ridge","Australia","LHG","YLRD",-29.4567,147.984,540,10,"O","Australia/Sydney" +6289,"Longreach Airport","Longreach","Australia","LRE","YLRE",-23.4342,144.28,627,10,"O","Australia/Brisbane" +6290,"Leinster Airport","Leinster","Australia","LER","YLST",-27.8433,120.703,1631,8,"O","Australia/Perth" +6291,"Laverton Airport","Laverton","Australia","LVO","YLTN",-28.6136,122.424,1530,8,"O","Australia/Perth" +6292,"Mabuiag Island Airport","Mabuiag Island","Australia","UBB","YMAA",-9.95,142.183,0,10,"O","Australia/Brisbane" +6293,"Meekatharra Airport","Meekatharra","Australia","MKR","YMEK",-26.6117,118.548,1713,8,"O","Australia/Perth" +6294,"Merimbula Airport","Merimbula","Australia","MIM","YMER",-36.9086,149.901,7,10,"O","Australia/Sydney" +6295,"Milingimbi Airport","Milingimbi","Australia","MGT","YMGB",-12.0944,134.894,53,9.5,"O","Australia/Darwin" +6296,"Maningrida Airport","Maningrida","Australia","MNG","YMGD",-12.0561,134.234,123,9.5,"O","Australia/Darwin" +6297,"McArthur River Mine Airport","McArthur River Mine","Australia","MCV","YMHU",-16.4425,136.084,131,9.5,"O","Australia/Darwin" +6298,"Mildura Airport","Mildura","Australia","MQL","YMIA",-34.2292,142.086,167,10,"O","Australia/Hobart" +6299,"Mount Magnet Airport","Mount Magnet","Australia","MMG","YMOG",-28.1161,117.842,1354,8,"O","Australia/Perth" +6300,"Moree Airport","Moree","Australia","MRZ","YMOR",-29.4989,149.845,701,10,"O","Australia/Sydney" +6301,"Moranbah Airport","Moranbah","Australia","MOV","YMRB",-22.0578,148.077,770,10,"O","Australia/Brisbane" +6302,"Moruya Airport","Moruya","Australia","MYA","YMRY",-35.8978,150.144,14,10,"O","Australia/Sydney" +6303,"Mount Gambier Airport","Mount Gambier","Australia","MGB","YMTG",-37.7456,140.785,212,9.5,"O","Australia/Adelaide" +6304,"Mornington Island Airport","Mornington Island","Australia","ONG","YMTI",-16.6625,139.178,33,10,"O","Australia/Brisbane" +6305,"Murray Island Airport","Murray Island","Australia","MYI","YMUI",-9.91667,144.055,0,10,"O",\N +6306,"Maryborough Airport","Maryborough","Australia","MBH","YMYB",-25.5133,152.715,38,10,"O","Australia/Brisbane" +6307,"Narrandera Airport","Narrandera","Australia","NRA","YNAR",-34.7022,146.512,474,10,"O","Australia/Sydney" +6308,"Narrabri Airport","Narrabri","Australia","NAA","YNBR",-30.3192,149.827,788,10,"O","Australia/Sydney" +6309,"Normanton Airport","Normanton","Australia","NTN","YNTN",-17.6836,141.07,73,10,"O","Australia/Brisbane" +6310,"Newman Airport","Newman","Australia","ZNE","YNWN",-23.4178,119.803,1724,8,"O","Australia/Perth" +6311,"Olympic Dam Airport","Olympic Dam","Australia","OLP","YOLD",-30.485,136.877,343,9.5,"O","Australia/Adelaide" +6312,"Port Augusta Airport","Argyle","Australia","PUG","YPAG",-32.506944,137.716667,56,9.5,"O","Australia/Adelaide" +6313,"Palm Island Airport","Palm Island","Australia","PMK","YPAM",-18.7553,146.581,28,10,"O","Australia/Brisbane" +6314,"Paraburdoo Airport","Paraburdoo","Australia","PBO","YPBO",-23.1711,117.745,1406,8,"O","Australia/Perth" +6315,"Cocos Keeling Island Airport","Cocos Keeling Island","Cocos (Keeling) Islands","CCK","YPCC",-12.1883,96.8339,10,6.5,"U","Indian/Cocos" +6316,"Gove Airport","Gove","Australia","GOV","YPGV",-12.2694,136.818,192,9.5,"O","Australia/Darwin" +6317,"Parkes Airport","Parkes","Australia","PKE","YPKS",-33.1314,148.239,1069,10,"O","Australia/Sydney" +6318,"Port Lincoln Airport","Port Lincoln","Australia","PLO","YPLC",-34.6053,135.88,36,9.5,"O","Australia/Adelaide" +6319,"Pormpuraaw Airport","Pormpuraaw","Australia","EDR","YPMP",-14.8967,141.609,10,10,"O","Australia/Brisbane" +6320,"Port Macquarie Airport","Port Macquarie","Australia","PQQ","YPMQ",-31.4358,152.863,12,10,"O","Australia/Sydney" +6321,"Portland Airport","Portland","Australia","PTJ","YPOD",-38.3181,141.471,265,10,"O","Australia/Hobart" +6322,"Quilpie Airport","Quilpie","Australia","ULP","YQLP",-26.6122,144.253,655,10,"O","Australia/Brisbane" +6323,"Ramingining Airport","Ramingining","Australia","RAM","YRNG",-12.3564,134.898,206,9.5,"O","Australia/Darwin" +6324,"Roma Airport","Roma","Australia","RMA","YROM",-26.545,148.775,1032,10,"O","Australia/Brisbane" +6325,"St George Airport","St George","Australia","SGO","YSGE",-28.0497,148.595,656,10,"O","Australia/Brisbane" +6326,"Shark Bay Airport","Shark Bay","Australia","MJK","YSHK",-25.8939,113.577,111,8,"O","Australia/Perth" +6327,"Saibai Island Airport","Saibai Island","Australia","SBR","YSII",-9.37833,142.625,0,10,"O",\N +6328,"Strahan Airport","Strahan","Australia","SRN","YSRN",-42.155,145.292,20,10,"O","Australia/Melbourne" +6329,"Thargomindah Airport","Thargomindah","Australia","XTG","YTGM",-27.9864,143.811,433,10,"O","Australia/Brisbane" +6330,"Tennant Creek Airport","Tennant Creek","Australia","TCA","YTNK",-19.6344,134.183,1236,9.5,"O","Australia/Darwin" +6331,"Victoria River Downs Airport","Victoria River Downs","Australia","VCD","YVRD",-16.4033,131.002,89,9.5,"O","Australia/Darwin" +6332,"Warraber Island Airport","Sue Islet","Australia","SYU","YWBS",-10.2083,142.825,3,10,"O","Australia/Brisbane" +6333,"Windorah Airport","Windorah","Australia","WNR","YWDH",-25.4131,142.667,452,10,"O","Australia/Brisbane" +6334,"Whyalla Airport","Whyalla","Australia","WYA","YWHA",-33.0589,137.514,41,9.5,"O","Australia/Adelaide" +6335,"Wiluna Airport","Wiluna","Australia","WUN","YWLU",-26.6292,120.221,1649,8,"O","Australia/Perth" +6336,"Wollongong Airport","Wollongong","Australia","WOL","YWOL",-34.5611,150.789,31,10,"O","Australia/Sydney" +6337,"Winton Airport","Winton","Australia","WIN","YWTN",-22.3636,143.086,638,10,"O","Australia/Brisbane" +6338,"Wynyard Airport","Burnie","Australia","BWT","YWYY",-40.9989,145.731,62,10,"O","Australia/Melbourne" +6339,"Yorke Island Airport","Yorke Island","Australia","OKR","YYKI",-9.75703,143.411,0,10,"O",\N +6340,"Yam Island Airport","Yam Island","Australia","XMY","YYMI",-9.90111,142.776,0,10,"O",\N +6341,"Beijing Nanyuan Airport","Beijing","China","NAY","ZBBB",39.7825,116.387778,0,8,"U","Asia/Chongqing" +6342,"Chifeng Airport","Chifeng","China","CIF","ZBCF",42.235,118.908,0,8,"U","Asia/Chongqing" +6343,"Changzhi Airport","Changzhi","China","CIH","ZBCZ",36.2475,113.126,0,8,"U","Asia/Chongqing" +6344,"Datong Airport","Datong","China","DAT","ZBDT",40.0603,113.482,3442,8,"U","Asia/Chongqing" +6345,"Baita Airport","Hohhot","China","HET","ZBHH",40.851422,111.824103,3556,8,"U","Asia/Chongqing" +6346,"Baotou Airport","Baotou","China","BAV","ZBOW",40.56,109.997,3321,8,"U","Asia/Chongqing" +6347,"Shijiazhuang Daguocun International Airport","Shijiazhuang","China","SJW","ZBSJ",38.280686,114.6973,233,8,"U","Asia/Chongqing" +6348,"Tongliao Airport","Tongliao","China","TGO","ZBTL",43.5567,122.2,0,8,"U","Asia/Chongqing" +6349,"Ulanhot Airport","Ulanhot","China","HLH","ZBUL",46.083,122.017,0,8,"U","Asia/Chongqing" +6350,"Xilinhot Airport","Xilinhot","China","XIL","ZBXH",43.9156,115.964,0,8,"U","Asia/Chongqing" +6351,"Beihai Airport","Beihai","China","BHY","ZGBH",21.5394,109.294,0,8,"U","Asia/Chongqing" +6352,"Changde Airport","Changde","China","CGD","ZGCD",28.9189,111.64,0,8,"U","Asia/Chongqing" +6353,"Dayong Airport","Dayong","China","DYG","ZGDY",29.1028,110.443,692,8,"U","Asia/Chongqing" +6354,"Meixian Airport","Meixian","China","MXZ","ZGMX",24.35,116.133,0,8,"U","Asia/Chongqing" +6355,"Zhuhai Airport","Zhuhai","China","ZUH","ZGSD",22.0064,113.376,0,8,"U","Asia/Chongqing" +6356,"Bailian Airport","Liuzhou","China","LZH","ZGZH",24.2075,109.391,295,8,"U","Asia/Chongqing" +6357,"Zhanjiang Airport","Zhanjiang","China","ZHA","ZGZJ",21.2144,110.358,0,8,"U","Asia/Chongqing" +6358,"Enshi Airport","Enshi","China","ENH","ZHES",30.3203,109.485,0,8,"U","Asia/Chongqing" +6359,"Nanyang Airport","Nanyang","China","NNY","ZHNY",32.9808,112.615,0,8,"U","Asia/Chongqing" +6360,"Xiangfan Airport","Xiangfan","China","XFN","ZHXF",32.1506,112.291,0,8,"U","Asia/Chongqing" +6361,"Yichang Airport","Yichang","China","YIH","ZHYC",30.671,111.441,0,8,"U","Asia/Chongqing" +6362,"Ankang Airport","Ankang","China","AKA","ZLAK",32.7081,108.931,0,8,"U","Asia/Chongqing" +6363,"Golmud Airport","Golmud","China","GOQ","ZLGM",34.633,98.867,0,8,"U","Asia/Chongqing" +6364,"Hanzhong Airport","Hanzhong","China","HZG","ZLHZ",33.0636,107.008,0,8,"U","Asia/Chongqing" +6365,"Qingyang Airport","Qingyang","China","IQN","ZLQY",35.7997,107.603,0,8,"U","Asia/Chongqing" +6366,"Xining Caojiabu Airport","Xining","China","XNN","ZLXN",36.5275,102.043,0,8,"U","Asia/Chongqing" +6367,"Yan'an Airport","Yan'an","China","ENY","ZLYA",36.6369,109.554,0,8,"U","Asia/Chongqing" +6368,"Yulin Airport","Yulin","China","UYN","ZLYL",38.2692,109.731,0,8,"U","Asia/Chongqing" +6369,"Arvaikheer Airport","Arvaikheer","Mongolia","AVK","ZMAH",46.2503,102.802,5932,8,"U","Asia/Ulaanbaatar" +6370,"Altai Airport","Altai","Mongolia","LTI","ZMAT",46.3764,96.2211,7260,8,"U","Asia/Ulaanbaatar" +6371,"Bayankhongor Airport","Bayankhongor","Mongolia","BYN","ZMBH",46.1633,100.704,6085,8,"U","Asia/Ulaanbaatar" +6372,"Dalanzadgad Airport","Dalanzadgad","Mongolia","DLZ","ZMDZ",43.5917,104.43,4787,8,"U","Asia/Ulaanbaatar" +6373,"Khovd Airport","Khovd","Mongolia","HVD","ZMKD",47.9541,91.6282,4898,7,"U","Asia/Hovd" +6374,"Muren Airport","Muren","Mongolia","MXV","ZMMN",49.6633,100.099,4272,8,"U","Asia/Ulaanbaatar" +6375,"Diqing Airport","Shangri-La","China","DIG","ZPDQ",27.7936,99.6772,0,8,"U","Asia/Chongqing" +6376,"Mangshi Airport","Luxi","China","LUM","ZPLX",24.4011,98.5317,2890,8,"U","Asia/Chongqing" +6377,"Simao Airport","Simao","China","SYM","ZPSM",22.7933,100.959,0,8,"U","Asia/Chongqing" +6378,"Zhaotong Airport","Zhaotong","China","ZAT","ZPZT",27.3256,103.755,0,8,"U","Asia/Chongqing" +6379,"Ganzhou Airport","Ganzhou","China","KOW","ZSGZ",25.8258,114.912,0,8,"U","Asia/Chongqing" +6380,"Jingdezhen Airport","Jingdezhen","China","JDZ","ZSJD",29.3386,117.176,112,8,"U","Asia/Chongqing" +6381,"Jiujiang Lushan Airport","Jiujiang","China","JIU","ZSJJ",29.733,115.983,0,8,"U","Asia/Chongqing" +6382,"Quzhou Airport","Quzhou","China","JUZ","ZSJU",28.9658,118.899,0,8,"U","Asia/Chongqing" +6383,"Lianyungang Airport","Lianyungang","China","LYG","ZSLG",34.55,119.25,0,8,"U","Asia/Chongqing" +6384,"Huangyan Luqiao Airport","Huangyan","China","HYN","ZSLQ",28.5622,121.429,0,8,"U","Asia/Chongqing" +6385,"Shubuling Airport","Linyi","China","LYI","ZSLY",35.0461,118.412,0,8,"U","Asia/Chongqing" +6386,"Quanzhou Airport","Quanzhou","China","JJN","ZSQZ",24.7964,118.59,0,8,"U","Asia/Chongqing" +6387,"Tunxi International Airport","Huangshan","China","TXN","ZSTX",29.7333,118.256,0,8,"U","Asia/Chongqing" +6388,"Weifang Airport","Weifang","China","WEF","ZSWF",36.6467,119.119,0,8,"U","Asia/Chongqing" +6389,"Weihai Airport","Weihai","China","WEH","ZSWH",37.1871,122.229,145,8,"U","Asia/Chongqing" +6390,"Wuxi Airport","Wuxi","China","WUX","ZSWX",31.4944,120.429,0,8,"U","Asia/Chongqing" +6391,"Nanping Wuyishan Airport","Wuyishan","China","WUS","ZSWY",27.7019,118.001,614,8,"U","Asia/Chongqing" +6392,"Wenzhou Yongqiang Airport","Wenzhou","China","WNZ","ZSWZ",27.9122,120.852,0,8,"U","Asia/Chongqing" +6393,"Yancheng Airport","Yancheng","China","YNZ","ZSYN",33.3856,120.125,0,8,"U","Asia/Chongqing" +6394,"Yiwu Airport","Yiwu","China","YIW","ZSYW",29.3447,120.032,0,8,"U","Asia/Chongqing" +6395,"Zhoushan Airport","Zhoushan","China","HSN","ZSZS",29.9342,122.362,0,8,"U","Asia/Chongqing" +6396,"Qamdo Bangda Airport","Bangda","China","BPX","ZUBD",30.5536,97.1083,14219,8,"U","Asia/Chongqing" +6397,"Dachuan Airport","Dazhou","China","DAX","ZUDX",31.3,107.5,0,8,"U","Asia/Chongqing" +6398,"Guangyuan Airport","Guangyuan","China","GYS","ZUGU",32.3911,105.702,0,8,"U","Asia/Chongqing" +6399,"Luzhou Airport","Luzhou","China","LZO","ZULZ",28.8522,105.393,0,8,"U","Asia/Chongqing" +6400,"Mianyang Airport","Mianyang","China","MIG","ZUMY",31.4281,104.741,0,8,"U","Asia/Chongqing" +6401,"Nanchong Airport","Nanchong","China","NAO","ZUNC",30.754,106.062,0,8,"U","Asia/Chongqing" +6402,"Nyingchi Airport","Nyingchi","China","LZY","ZUNZ",29.3033,94.3353,9675,8,"U","Asia/Chongqing" +6403,"Wanxian Airport","Wanxian","China","WXN","ZUWX",30.8361,108.406,0,8,"U","Asia/Chongqing" +6404,"Aksu Airport","Aksu","China","AKU","ZWAK",41.2625,80.2917,0,8,"U","Asia/Chongqing" +6405,"Qiemo Airport","Qiemo","China","IQM","ZWCM",38.1494,85.5328,4108,8,"U","Asia/Chongqing" +6406,"Kuqa Airport","Kuqa","China","KCA","ZWKC",41.7181,82.9869,3524,8,"U","Asia/Chongqing" +6407,"Korla Airport","Korla","China","KRL","ZWKL",41.6978,86.1289,0,8,"U","Asia/Chongqing" +6408,"Karamay Airport","Karamay","China","KRY","ZWKM",45.617,84.883,0,8,"U","Asia/Chongqing" +6409,"Yining Airport","Yining","China","YIN","ZWYN",43.9558,81.3303,0,8,"U","Asia/Chongqing" +6410,"Heihe Airport","Heihe","China","HEK","ZYHE",50.25,127.3,8530,8,"U","Asia/Chongqing" +6411,"Jiamusi Airport","Jiamusi","China","JMU","ZYJM",46.843394,130.465389,262,8,"U","Asia/Chongqing" +6412,"Jinzhou Airport","Jinzhou","China","JNZ","ZYJZ",41.1014,121.062,0,8,"U","Asia/Chongqing" +6413,"Qiqihar Sanjiazi Airport","Qiqihar","China","NDG","ZYQQ",47.239628,123.918131,477,8,"U","Asia/Chongqing" +6414,"Yanji Airport","Yanji","China","YNJ","ZYYJ",42.8828,129.451258,624,8,"U","Asia/Chongqing" +6417,"Valletta Sea Plane Terminal","Valletta","Malta","",\N,35.888863,14.508417,0,1,"E","Europe/Malta" +6418,"Gozo Sea Plane Terminal","Mgarr","Malta","",\N,36.026389,14.298333,0,1,"E","Europe/Malta" +6419,"Mount Keith","Mount Keith","Australia","WME","YMNE",-27.286389,120.554722,1792,8,"O","Australia/Perth" +6420,"Gran Roque Airport","Los Roques","Venezuela","LRV","SVRS",11.95,-66.67,17,-4.5,"S","America/Caracas" +6421,"Inishmore Airport","Inis Mor","Ireland","IOR","EIIM",53.1067,-9.65361,24,0,"U","Europe/Dublin" +6422,"Connemara Regional Airport","Indreabhan","Ireland","NNR","EICA",53.2303,-9.46778,0,0,"U","Europe/Dublin" +6423,"Guettin MecklenburgVorpommern Germany","Ruegen","Germany","GTI","EDCG",54.383333,13.325278,69,1,"U","Europe/Berlin" +6424,"Berezovo","Berezovo","Russia","NBB","USHB",63.9241,65.0487,98,6,"N","Asia/Yekaterinburg" +6425,"Szczecin-Dabie","Szczecin","Poland","","EPSD",53.471138,14.63775,3,1,"E","Europe/Warsaw" +6426,"Worcester Regional Airport","Worcester","United States","ORH","KORH",42.2673,-71.8757,1009,-5,"A","America/New_York" +6427,"Anqing Airport","Anqing","China","AQG","ZSAQ",30.5822,117.0502,0,8,"N","Asia/Chongqing" +6428,"Jing Gang Shan Airport","Ji An","China","JGS",\N,26.8997,114.7375,0,8,"N","Asia/Chongqing" +6429,"Shanhaiguan Airport","Qinhuangdao","China","SHP","ZBSH",39.9681,119.731,0,8,"N","Asia/Chongqing" +6430,"Zhangxiao","Yuncheng","China","YCU","ZBYC",35.018,110.993,0,8,"N","Asia/Chongqing" +6431,"Lanzhou Airport","Lanzhou","China","LHW","ZLAN",36.117,103.617,0,8,"N","Asia/Chongqing" +6432,"Jiayuguan Airport","Jiayuguan","China","JGN","ZLJQ",39.8569,98.3414,0,8,"N","Asia/Chongqing" +6433,"Dandong","Dandong","China","DDG","ZYDD",40.0255,124.2866,0,8,"N","Asia/Chongqing" +6434,"Ordos Ejin Horo","Dongsheng","China","DSN","ZBDS",39.85,110.033,0,8,"N","Asia/Chongqing" +6435,"Panzhihua","Panzhihua","China","PZI","ZUZH",26.54,101.799,9186,8,"N","Asia/Chongqing" +6436,"Grytviken","Grytviken","South Georgia and the Islands","",\N,-54.16534,-36.30288,0,-2,"N","Atlantic/South_Georgia" +6437,"South Shetland","South Shetland","Antarctica","",\N,-68,-58,0,-4,"N",\N +6438,"South Shetland","South Shetland","Antarctica","",\N,-63.37,-62.83,0,12,"N","Antarctica/South_Pole" +6439,"New Rochelle Amtrak Station","New Rochelle","United States","",\N,40.913923,-73.782008,66,-5,"A","America/New_York" +8838,"Anoka County Blaine Airport","Anoka","United States","","KANE",45.1448889,-93.2101944,912,-6,"U","America/Chicago" +6441,"New Haven Rail Station","New Haven","United States","ZVE",\N,41.298669,-72.925992,7,-5,"A","America/New_York" +6442,"Chicago Union Station","Chicago","United States","",\N,41.8791966,-87.6388507,581,-6,"A","America/Chicago" +6443,"Dibrugarh Airport","Dibrugarh","India","DIB",\N,27.4839,95.0169,362,5.5,"N","Asia/Calcutta" +6444,"Doha Free Zone Airport","Doha","Qatar","XOZ",\N,24.8333,50.9166,0,3,"N","Asia/Qatar" +6445,"Bremerton National","Bremerton","United States","PWT","KPWT",47.490244,-122.764814,444,-8,"A","America/Los_Angeles" +6446,"Spencer Muni","Spencer","United States","SPW","KSPW",43.165527,-95.202805,1339,-6,"A","America/Chicago" +6447,"Jefferson City Memorial Airport","Jefferson City","United States","JEF","KJEF",38.5912,-92.1561,549,-6,"A","America/Chicago" +6448,"Grand Canyon West Airport","Grand Canyon West","United States","GCW",\N,35.5925,-113.4859,4825,-7,"U","America/Phoenix" +6449,"Boulder City Municipal Airport","Boulder City","United States","BLD","KBVU",35.5651,-114.514,2201,-7,"U","America/Phoenix" +6450,"Tannheim","Tannheim","Germany","","EDMT",48.011736,10.100903,1902,1,"E","Europe/Berlin" +6451,"Glenview Amtrak Station","Glenview","United States","",\N,42.074197,-87.805346,630,-6,"A","America/Chicago" +6452,"Baltimore Penn Station","Baltimore","United States","",\N,39.307408,-76.615552,62,-5,"A","America/New_York" +6453,"Summit Camp","Ice Cap","Greenland","",\N,72.579187,-38.4572,11000,0,"U","America/Danmarkshavn" +6454,"Unst Airport","Unst","United Kingdom","UNT","EGPW",60.7472,-0.85385,0,0,"E","Europe/London" +6455,"Pagerungan","Pagerungan","Indonesia","","WA19",-6.956608,115.931239,20,7,"N","Asia/Jakarta" +6456,"Provincetown Muni","Provincetown","United States","PVC","KPVC",42.071945,-70.22139,9,-5,"A","America/New_York" +6457,"Kenmore Air Harbor Seaplane Base","Seattle","United States","LKE","KW55",47.629,-122.339,14,-8,"A","America/Los_Angeles" +6458,"Seria - Anduki","Seria","Brunei","","WBAK",4.6333,114.3833,5,8,"N","Asia/Brunei" +6459,"Magas","Nazran","Russia","%u0","%u04",43.323815,45.017761,1060,4,"N","Europe/Moscow" +6460,"Saint Barthelemy","Gustavia","France","SBH","TFFJ",17.9023,-62.8324,50,-4,"E",\N +6461,"Morro de Sao Paulo","Morro de Sao Paulo","Brazil","",\N,-13.2314,-38.5432,10,3,"S",\N +6462,"Morro de Sao Paulo","Morro de Sao Paulo","Brazil","",\N,-13.386571,-38.909122,10,-3,"S","America/Fortaleza" +6463,"Belize City Municipal Airport","Belize","Belize","TZA",\N,17.5344,-88.298,15,-6,"N","America/Belize" +6464,"Kostroma - Sokerkino","Kostroma","Russia","","UUBA",57.47,41.01,453,4,"N","Europe/Moscow" +6465,"Sukhumi Dranda","Sukhumi","Georgia","SUI","UGSS",42.87,41.12,0,4,"N","Asia/Tbilisi" +6466,"Tambow","Tambow","Russia","TBW","UUOT",52.81,41.48,126,4,"N","Europe/Moscow" +6467,"Oban Airport","North Connel","United Kingdom","OBN","EGEO",56.464,-5.4,23,0,"E","Europe/London" +6468,"Vilamendhoo","Vilamendhoo","Maldives","",\N,73.0191098670891,3.60965475494316,0,1,"U","Arctic/Longyearbyen" +6469,"Vilamendhoo","Vilamendhoo","Maldives","",\N,3.60965475494316,73.0191098670891,0,5,"U","Indian/Maldives" +6470,"Vilamendhoo","Vilamendhoo","Maldives","",\N,3.484,73.802,0,5,"U","Indian/Maldives" +6471,"Vilamendhoo","Vilamendhoo","Maldives","",\N,73.801,3.801,0,5,"U",\N +6472,"Aaa","Aaa","Maldives","",\N,73.9,3.222,0,5,"U",\N +6473,"Vilamendhoo","Vilamendhoo","Maldives","",\N,0,0,0,5,"U",\N +6474,"Vilamendhoo","Vilamendhoo","Maldives","",\N,3.8,73.8,0,5,"U","Indian/Maldives" +6475,"Sharya","Sharya","Russia","",\N,58.2321,45.3314,453,4,"N","Europe/Moscow" +6476,"Mt. Fuji Shizuoka Airport","Shizuoka","Japan","FSZ","RJNS",34.796111,138.189444,433,9,"N","Asia/Tokyo" +6477,"Erechim Airport","Erechim","Brazil","ERM","SSER",-27.6619,-52.2683,2498,-3,"S","America/Sao_Paulo" +6478,"La Cote","Prangins","Switzerland","","LSGP",46.413056,6.258611,1350,1,"E","Europe/Zurich" +6479,"Courchevel Airport","Courcheval","France","CVF","LFLJ",45.3967,6.63472,6588,1,"E","Europe/Paris" +6481,"Fullerton Municipal Airport","Fullerton","United States","FUL","KFUL",33.521925,-117.584722,96,-8,"A","America/Los_Angeles" +6482,"Concord Rgnl","Concord","United States","","KJQF",35.387775,-80.709136,705,-5,"A","America/New_York" +6483,"Sandown","Isle Of Wight","United Kingdom","","EGHN",50.677776,-1.317803,18,0,"E","Europe/London" +6484,"Fort William Heliport","Fort William","United Kingdom","FWM",\N,56.816666,-5.116667,0,0,"E","Europe/London" +6485,"Navoi Airport","Navoi","Uzbekistan","NVI","UTSA",40.1172,65.1708,0,5,"E","Asia/Samarkand" +6486,"La Defense Heliport","Paris","France","JPU",\N,48.86667,2.333333,0,1,"E","Europe/Paris" +6487,"Andernos-Les-Bains","Andernos-Les-Bains","France","","LFCD",44.81111,-1.186023,0,1,"E","Europe/Paris" +6488,"Ronda Airport","Ronda","Spain","RRA",\N,36.75,-5.166667,2500,1,"E","Europe/Madrid" +6489,"Bienenfarm Airport","Nauen","Germany","","EDOI",52.6617,12.7458,131,1,"E","Europe/Berlin" +8131,"Nguma Island Lodge Airstrip","Etsha 13","Botswana","",\N,-18.9538,22.3668,0,2,"U","Africa/Gaborone" +6491,"Champion-7","Champion-7","Brunei","",\N,5.21,114.7419,12,8,"N",\N +6492,"Ain Arnat Airport","Setif","Algeria","QSF","DAAS",36.1781,5.32449,3360,1,"U","Africa/Algiers" +6493,"La Rochelle-Ile de Re","La Rochelle","France","LRH","LFBH",46.1792,-1.19528,74,1,"E","Europe/Paris" +6494,"Friedman Mem","Hailey","United States","SUN","KSUN",43.504444,-114.296194,5320,-7,"A","America/Denver" +6497,"Yverdon-Les-Bains","Yverdon-Les-Bains","Switzerland","","LSGY",46.86667,6.7,1427,1,"E","Europe/Zurich" +6498,"Portsmouth Airport","Portsmouth","United Kingdom","PME",\N,50.8,-1.083333,0,0,"E","Europe/London" +6499,"Aleksandrowice","Bielsko-Biala","Poland","","EPBA",49.84997,19.020193,860,1,"E","Europe/Warsaw" +6500,"Mason City Municipal","Mason City","United States","MCW","KMCW",43.2247,-93.4067,1243,-6,"A","America/Chicago" +6501,"Salar de Uyuni","Salar de Uyuni","Bolivia","",\N,-20.330706,-67.046881,12000,-4,"S","America/La_Paz" +6502,"Isla Pescado","Isla Pescado","Bolivia","",\N,-20.240932,-67.62538,12020,-4,"S","America/La_Paz" +6503,"Toro Toro","Toro Toro","Bolivia","",\N,-18.133114,-65.768781,9007,-4,"S","America/La_Paz" +6512,"QTHRL","Queenstown","New Zealand","",\N,-44.8898,168.6762,1,12,"Z","Pacific/Auckland" +6513,"QTHRS","Queenstown","New Zealand","",\N,-44.9486,168.7068,1,12,"Z","Pacific/Auckland" +6514,"Helirafting Start","Queenstown","New Zealand","",\N,-44.9486,168.7068,1300,12,"Z","Pacific/Auckland" +6515,"Helirafting Landung","Queenstown","New Zealand","",\N,-44.8898,168.6762,1300,12,"Z","Pacific/Auckland" +6517,"Jomo Kenyatta","Nairobi","Kenya","",\N,-1.319242,36.927775,1625,3,"U","Africa/Nairobi" +6518,"DWEST","DWEST","Germany","",\N,51.025,7.1837,300,1,"E","Europe/Berlin" +6519,"Niederoeblarn","Niederoeblarn","Austria","","LOGO",47.478,14.008,2142,1,"E","Europe/Vienna" +6520,"Bad Voeslau","Bad Voeslau","Austria","","LOAV",47.965,16.259,765,1,"E","Europe/Vienna" +6521,"Arekuna Camp","Arekuna","Venezuela","",\N,6.290501,-62.534499,0,-4.5,"S","America/Caracas" +6522,"Uetersen","Uetersen","Germany","","EDHE",53.646667,9.704167,7,1,"E","Europe/Berlin" +6523,"HLP1 HS-16","Salzwedel","Germany","",\N,52.8333,11.2027,111,1,"U","Europe/Berlin" +6524,"HLP2 HS-16","Nordhausen","Germany","",\N,51.4888,10.7833,278,1,"U","Europe/Berlin" +6525,"HLP HQ GT","Paetz","Germany","",\N,52.2361,13.6667,98,1,"U","Europe/Berlin" +6944,"Jining Airport ","Jining","China","JNG",\N,35.417,116.533,1540,8,"U","Asia/Chongqing" +6943,"Heilongjiang Mohe Airport","Mohe County","China","OHE",\N,52.915,122.427,1500,8,"U","Asia/Chongqing" +6942,"Daqing Saertu Airport","Daqing","China","DAQ",\N,46.583333,125,1020,8,"U","Asia/Chongqing" +6941,"Byron Airport","Byron","United States","",\N,37.8284,-121.626,79,-8,"A","America/Los_Angeles" +6940,"Tunoshna","Yaroslavl","Russia","IAR","UUDL",57.560666676667,40.157369454444,270,4,"N","Europe/Moscow" +6939,"Belaya","Sredniiy","Russia","","UIIB",52.91500001,103.57500001,1396,9,"N","Asia/Irkutsk" +6938,"Borisoglebskoe","Kazan","Russia","",\N,55.86067,49.10099,384,4,"N","Europe/Moscow" +6937,"Dzemgi","Komsomolsk-on-Amur","Russia","","UHKD",50.605,137.08167,82,11,"N","Asia/Vladivostok" +6936,"Khabarovsk-MVL","Khabarovsk","Russia","","UHHT",48.528,135.179,213,11,"N","Asia/Vladivostok" +6935,"Irkutsk-2","Irkutsk","Russia","","UIIR",52.3678,104.183,13411,9,"N","Asia/Irkutsk" +6934,"Zhukovski","Ramenskoe","Russia","","UUBW",55.589,38.154,335,4,"N","Europe/Moscow" +6933,"Gelendzhik","Gelendzhik","Russia","","URKG",44.55,38.083,100,4,"N","Europe/Moscow" +6932,"Taganrog-Juzhnyi","Taganrog","Russia","","URRT",47.117,38.513,100,4,"N",\N +6931,"Neuchatel Airport","Neuchatel","Switzerland","QNC","LSGN",46.9575,6.86472,1427,1,"E","Europe/Zurich" +6930,"Locarno Airport","Locarno","Switzerland","ZJI","LSZL",46.1608,8.87861,650,1,"E","Europe/Zurich" +6929,"Speck-Fehraltorf Airport","Fehraltorf","Switzerland","","LSZK",47.3764,8.7575,1748,1,"E","Europe/Zurich" +6928,"Lausanne-la Blecherette Airport","Lausanne","Switzerland","","LSGL",46.5453,6.61667,2041,1,"E","Europe/Zurich" +6927,"Triengen Airport","Triengen","Switzerland","","LSPN",47.2267,8.07806,1594,1,"E","Europe/Zurich" +6926,"Rimatara","Rimatara","French Polynesia","RMT","NTAM",-22.637253,-152.805192,56,-10,"U",\N +6925,"Ust-Ilimsk","Ust-Ilimsk","Russia","",\N,58.116667,102.4666667,1244,9,"N","Asia/Irkutsk" +6924,"Ust-Kut","Ust-Kut","Russia","UKX","UITT",56.85,105.7167,2033,9,"N","Asia/Irkutsk" +6923,"Kavalerovo","Kavalerovo","Russia","",\N,44.270556,135.054722,675,11,"N","Asia/Vladivostok" +6922,"Kirensk","Kirensk","Russia","","UIKK",57.7667,108.05,780,9,"N","Asia/Irkutsk" +6921,"Fortman Airport","St. Marys","United States","1OH",\N,40.5553253,-84.3866186,885,-5,"U","America/New_York" +6920,"Bellona","Bellona","Solomon Islands","BN1",\N,15.981666666667,-11.3,3,0,"U","Africa/Nouakchott" +6919,"Bellona","Bellona","Solomon Islands","BNY",\N,-11.302,159.8,3,11,"U","Pacific/Guadalcanal" +6918,"Ringi Cove Airport","Ringi Cove","Solomon Islands","RIN","AGRC",-8.12639,157.143,0,11,"U","Pacific/Guadalcanal" +6917,"Antonio Juarbe Pol Airport","Arecibo","Puerto Rico","ARE","TJAB",18.451111,-66.675556,23,-4,"N","America/Puerto_Rico" +6916,"Pangborn Field","Wenatchee","United States","EAT","KEAT",47.398,-120.206,1249,-8,"A","America/Los_Angeles" +6915,"Bendigo Airport","Bendigo","Australia","","YBDG",-36.7394,144.33,705,10,"U","Australia/Hobart" +6913,"Aeroporto Prefeito Octavio de Almeida Neves","Sao Joao del Rei","Brazil","JDR",\N,-21.0864,-44.2258,3120,-3,"S","America/Sao_Paulo" +6914,"RAAF Pearce","Perth","Australia","","YPEA",-31.66778,116.015,149,8,"O","Australia/Perth" +6911,"Wangerooge Airport","Wangerooge","Germany","AGE","EDWG",53.7828,7.91389,7,1,"E","Europe/Berlin" +6910,"Harle Airport","Harlesiel","Germany","","EDXP",53.7067,7.82028,7,1,"E","Europe/Berlin" +6909,"Wittman Regional Airport","Oshkosh","United States","OSH","KOSH",44.024983,-88.551336,790,-6,"A","America/Chicago" +6908,"Brest","Brest","Belarus","BQT","UMBB",52.06,23.53,468,1,"E","Europe/Warsaw" +6907,"Ternopol","Ternopol","Ukraine","TNL","UKLT",49.31,25.42,1073,2,"E","Europe/Kiev" +6906,"Chernigov","Chernigov","Ukraine","CEJ","UKRR",51.24,31.09,446,2,"E","Europe/Kiev" +6905,"Lutsk","Lutsk","Ukraine","UKC","UKLC",50.6833,25.4833,774,2,"U","Europe/Kiev" +6904,"Southwest Michigan Regional Airport","Benton Harbor","United States","BEH",\N,42.1285833,-86.4285,643,-5,"A","America/New_York" +6903,"Waukesha County Airport","Waukesha","United States","UES",\N,43.0410278,-88.2370556,911,-6,"A","America/Chicago" +6902,"Ronda","Ronda","Spain","",\N,36.73333,-5.166667,1000,1,"U","Europe/Madrid" +6901,"Thurles","Thurles","Ireland","",\N,52.67888,-7.814369,500,0,"U","Europe/Dublin" +6900,"Limerick","Limerick","Ireland","",\N,52.659,-8.624,500,0,"U","Europe/Dublin" +6899,"Nowra Airport","Nowra","Australia","NOA","YSNW",-34.9489,150.537,400,10,"O","Australia/Sydney" +6898,"RAAF Williams Laverton Base","Laverton","Australia","","YLVT",-37.8636,144.746,18,10,"O","Australia/Hobart" +6897,"Tindal Airport","Katherine","Australia","KTR","YPTN",-14.5211,132.378,443,9.5,"O","Australia/Darwin" +6896,"Amberley","Amberley","Australia","","YAMB",-27.64,152.712,91,10,"O","Australia/Brisbane" +6895,"Geiranger","Geiranger","Norway","","GEIR",62.1,7.2,0,1,"E","Europe/Oslo" +6894,"Zell am See","Zell am See","Austria","","LOWZ",47.2933,12.7883,2470,1,"E","Europe/Vienna" +6893,"Galt Field Airport","Greenwood","United States","10C",\N,42.4028889,-88.3751111,875,-6,"U","America/Chicago" +6892,"Everglades Airpark","Everglades","United States","X01",\N,25.8488611,-81.3902778,5,-5,"U","America/New_York" +6795,"Choibalsan Airport","Choibalsan","Mongolia","COQ","ZMCD",48.1357,114.646,2457,8,"U","Asia/Ulaanbaatar" +6794,"Taree Airport","Taree","Australia","TRO","YTRE",-31.8886,152.514,38,10,"U","Australia/Sydney" +6793,"Orange Airport","Orange","Australia","OAG","YORG",-33.3817,149.133,3115,10,"U","Australia/Sydney" +6792,"Grafton Airport","Grafton","Australia","GFN","YGFN",-29.7594,153.03,110,10,"U","Australia/Sydney" +6791,"Marinduque Airport","Gasan","Philippines","MRQ","RPUW",13.360967,121.825583,32,8,"N","Asia/Manila" +6790,"Hamadan Airport","Hamadan","Iran","HDM","OIHH",34.869167,48.5525,5755,3.5,"E","Asia/Tehran" +6789,"St Augustin Airport","St-Augustin","Canada","YIF","CYIF",51.2117,-58.6583,20,-4,"A","America/Blanc-Sablon" +6788,"Vieques Airport","Vieques Island","Puerto Rico","VQS","TJCG",18.1158,-65.4227,19,-4,"U","America/Puerto_Rico" +6787,"Kalay Airport","Kalemyo","Myanmar","KMV","VYKL",23.188811,94.051094,499,6.5,"U","Asia/Rangoon" +6786,"Terre-de-Haut Airport","Les Saintes","Guadeloupe","LSS","TFFS",15.8644,-61.5806,46,-4,"U","America/Guadeloupe" +6785,"Yenisehir Airport","Yenisehir","Turkey","YEI","LTBR",40.255208,29.562569,764,2,"E","Europe/Istanbul" +6784,"TekirdaÄŸ Çorlu Airport","Çorlu","Turkey","TEQ","LTBU",41.13825,27.919094,574,2,"E","Europe/Istanbul" +6783,"Sinop Airport","Sinop","Turkey","SIC","LTCM",42.0158,35.0664,20,2,"E","Europe/Istanbul" +6782,"Mus Airport","Mus","Turkey","MSR","LTCK",38.747769,41.661236,4157,2,"E","Europe/Istanbul" +6781,"Canakkale Airport","Canakkale","Turkey","CKZ","LTBH",40.137722,26.426777,23,2,"E","Europe/Istanbul" +6780,"Anadolu Airport","Eskissehir","Turkey","AOE","LTBY",39.809858,30.519378,2588,2,"E","Europe/Istanbul" +6779,"Katima Mulilo Airport","Mpacha","Namibia","MPA","FYKM",-17.6344,24.1767,3144,1,"S","Africa/Windhoek" +6778,"Walvis Bay Airport","Walvis Bay","Namibia","WVB","FYWB",-22.9799,14.6453,299,1,"S","Africa/Windhoek" +6777,"Capitan Corbeta C A Curbelo International Airport","Punta del Este","Uruguay","PDP","SULS",-34.855139,-55.094278,95,-3,"S","America/Montevideo" +6776,"Sialkot Airport","Sialkot","Pakistan","SKT","OPST",32.5356,74.3639,810,5,"N","Asia/Karachi" +6775,"Bonaventure Airport","Bonaventure","Canada","YVB","CYVB",48.0711,-65.4603,123,-5,"A","America/Toronto" +6774,"Brus Laguna Airport","Brus Laguna","Honduras","BHG","MHBL",15.7631,-84.5436,2,-6,"U","America/Tegucigalpa" +6773,"Samburu South Airport","Samburu South","Kenya","UAS","HKSB",0.530583,37.5342,3295,3,"U","Africa/Nairobi" +6772,"Chaoyang Airport","Chaoyang","China","CHG","ZYCY",41.5381,120.435,0,8,"U","Asia/Chongqing" +6771,"Walaha Airport","Walaha","Vanuatu","WLH","NVSW",-15.412,167.691,151,11,"U","Pacific/Efate" +6770,"Tanjung Manis Airport","Tanjung Manis","Malaysia","TGC","WBTM",2.17784,111.202,15,8,"N","Asia/Kuala_Lumpur" +6769,"Long Akah Airport","Long Akah","Malaysia","LKH","WBGL",3.3,114.783,289,8,"N","Asia/Kuala_Lumpur" +6768,"Geneina Airport","Geneina","Sudan","EGN","HSGN",13.4817,22.4672,2650,3,"U","Africa/Khartoum" +6767,"Togiak Airport","Togiak Village","United States","TOG","PATG",59.0528,-160.397,21,-9,"A","America/Anchorage" +6766,"Port Heiden Airport","Port Heiden","United States","PTH","PAPH",56.9591,-158.633,95,-9,"A","America/Anchorage" +6765,"King Cove Airport","King Cove","United States","KVC","PAVC",55.1163,-162.266,155,-9,"A","America/Anchorage" +6764,"New Stuyahok Airport","New Stuyahok","United States","KNW","PANW",59.4499,-157.328,302,-9,"A","America/Anchorage" +6763,"Igiugig Airport","Igiugig","United States","IGG","PAIG",59.324,-155.902,90,-9,"A","America/Anchorage" +6762,"Shimla Airport","Shimla","India","SLV","VISM",31.081803,77.067967,5072,5.5,"N","Asia/Calcutta" +6761,"Nanded Airport","Nanded","India","NDC","VAND",19.1833,77.3167,1250,5.5,"N","Asia/Calcutta" +6760,"Kangra Airport","Kangra","India","DHM","VIGG",32.1651,76.2634,2525,5.5,"N","Asia/Calcutta" +6759,"Shahre Kord Airport","Shahre Kord","Iran","CQD","OIFS",32.2972,50.8422,6723,3.5,"E","Asia/Tehran" +6758,"Sege Airport","Sege","Solomon Islands","EGM","AGGS",-8.57889,157.876,0,11,"U","Pacific/Guadalcanal" +6757,"Burgos Airport","Burgos","Spain","RGS","LEBG",42.357628,-3.620764,2945,1,"E","Europe/Madrid" +6756,"Leon Airport","Leon","Spain","LEN","LELN",42.589,-5.655556,3006,1,"E","Europe/Madrid" +6755,"Deering Airport","Deering","United States","DRG","PADE",66.0696,-162.766,21,-9,"A","America/Anchorage" +6754,"Sugraly Airport","Zarafshan","Uzbekistan","AFS","UTSN",41.6139,64.2332,1396,5,"U","Asia/Samarkand" +6753,"Mardin Airport","Mardin","Turkey","MQM","LTCR",37.2233,40.6317,1729,2,"E","Europe/Istanbul" +6752,"Tacheng Airport","Tacheng","China","TCG","ZWTC",46.6725,83.3408,0,8,"U","Asia/Chongqing" +6751,"Tocache Airport","Tocache","Peru","","SPCH",-8.183,-76.517,1500,-5,"U","America/Lima" +6750,"Nueva Loja Airport","Lago Agrio","Ecuador","LGQ","SELA",0.093056,-76.8675,980,-5,"U","America/Guayaquil" +6749,"Parsabade Moghan Airport","Parsabad","Iran","PFQ","OITP",39.603606,47.8815,251,3.5,"E","Asia/Tehran" +6748,"Ilam Airport","Ilam","Iran","IIL","OICI",33.586606,46.404842,4404,3.5,"E","Asia/Tehran" +6747,"Gorgan Airport","Gorgan","Iran","GBT","OING",36.909381,54.401339,-24,3.5,"E","Asia/Tehran" +6746,"Sahand Airport","Maragheh","Iran","ACP","OITM",37.348017,46.127903,4396,3.5,"E","Asia/Tehran" +6745,"Romblon Airport","Romblon","Philippines","TBH","RPVU",12.311,122.085,10,8,"N","Asia/Manila" +6744,"Changzhoudao Airport","Wuzhou","China","WUZ","ZGWZ",23.4567,111.248,89,8,"U","Asia/Chongqing" +6743,"Hami Airport","Hami","China","HMI","ZWHM",42.8414,93.6692,0,8,"U","Asia/Chongqing" +6742,"Sand Point Airport","Sand Point","United States","SDP","PASD",55.315,-160.523,21,-9,"A","America/Anchorage" +6741,"Gorakhpur Airport","Gorakhpur","India","GOP","VEGK",26.739708,83.449708,259,5.5,"N","Asia/Calcutta" +6740,"Araracuara Airport","Araracuara","Colombia","ACR","SKAC",-0.58,-72.41,1250,-5,"U","America/Bogota" +6739,"Hagerstown Regional Richard A Henson Field","Hagerstown","United States","HGR","KHGR",39.7079,-77.7295,704,-5,"A","America/New_York" +6738,"Bella Coola Airport","Bella Coola","Canada","QBC","CYBD",52.3875,-126.596,117,-8,"A","America/Vancouver" +6737,"Pajala Airport","Pajala","Sweden","PJA","ESUP",67.2456,23.0689,542,1,"E","Europe/Stockholm" +6736,"Port Clarence Coast Guard Station","Port Clarence","United States","KPC","PAPC",65.2537,-166.859,10,-9,"A","America/Anchorage" +6735,"Governador Valadares Airport","Governador Valadares","Brazil","GVR","SBGV",-18.8952,-41.9822,561,-3,"S","America/Sao_Paulo" +6734,"Kirovsk-Apatity Airport","Apatity","Russia","KVK","ULMK",67.4633,33.5883,515,4,"N","Europe/Moscow" +6733,"Cauayan Airport","Cauayan","Philippines","CYZ","RPUY",16.929861,121.753036,200,8,"N","Asia/Manila" +6732,"Tambor Airport","Nicoya","Costa Rica","TMU","MRTR",9.73852,-85.0138,33,-6,"U","America/Costa_Rica" +6731,"Arenal Airport","La Fortuna/San Carlos","Costa Rica","FON","MRAN",10.478,-84.6345,342,-6,"U","America/Costa_Rica" +6730,"Imo Airport","Imo","Nigeria","QOW","DNIM",5.42706,7.20603,373,1,"N","Africa/Lagos" +6729,"Arctic Village Airport","Arctic Village","United States","ARC","PARC",68.1147,-145.579,2092,-9,"A","America/Anchorage" +6728,"Tasiujaq Airport","Tasiujaq","Canada","YTQ","CYTQ",58.6678,-69.9558,122,-5,"A","America/Toronto" +6727,"Puvirnituq Airport","Puvirnituq","Canada","YPX","CYPX",60.0506,-77.2869,74,-5,"A","America/Toronto" +6726,"Ormoc Airport","Ormoc City","Philippines","OMC","RPVO",11.057997,124.565322,83,8,"N","Asia/Manila" +6725,"Noatak Airport","Noatak","United States","WTK","PAWN",67.5661,-162.975,88,-9,"A","America/Anchorage" +6724,"Savoonga Airport","Savoonga","United States","SVA","PASA",63.6864,-170.493,53,-9,"A","America/Anchorage" +6723,"Shishmaref Airport","Shishmaref","United States","SHH","PASH",66.2496,-166.089,12,-9,"A","America/Anchorage" +6722,"Ruby Airport","Ruby","United States","RBY","PARY",64.7272,-155.47,653,-9,"A","America/Anchorage" +6721,"Point Hope Airport","Point Hope","United States","PHO","PPHO",68.3488,-166.799,12,-9,"A","America/Anchorage" +6720,"Mekoryuk Airport","Mekoryuk","United States","MYU","PAMY",60.3714,-166.271,48,-9,"A","America/Anchorage" +6719,"Kivalina Airport","Kivalina","United States","KVL","PAVL",67.7362,-164.563,13,-9,"A","America/Anchorage" +6718,"St Marys Airport","St Mary's","United States","KSM","PASM",62.0605,-163.302,311,-9,"A","America/Anchorage" +6717,"Kaltag Airport","Kaltag","United States","KAL","PAKV",64.3191,-158.741,187,-9,"A","America/Anchorage" +6716,"Hooper Bay Airport","Hooper Bay","United States","HPB","PAHP",61.5239,-166.147,7,-9,"A","America/Anchorage" +6715,"Gambell Airport","Gambell","United States","GAM","PAGM",63.7668,-171.733,27,-9,"A","America/Anchorage" +6714,"Atqasuk Edward Burnell Sr Memorial Airport","Atqasuk","United States","ATK","PATQ",70.4673,-157.436,96,-9,"A","America/Anchorage" +6713,"Anvik Airport","Anvik","United States","ANV","PANV",62.6467,-160.191,309,-9,"A","America/Anchorage" +6712,"Anaktuvuk Pass Airport","Anaktuvuk Pass","United States","AKP","PAKP",68.1336,-151.743,2103,-9,"A","America/Anchorage" +6946,"Altay Airport","Altay","China","AAT","ZWAT",47.866667,88.116667,2491,8,"U","Asia/Chongqing" +6947,"Tuzla","Null","Bosnia and Herzegovina","","LQTZ",44.458656,18.724783,784,1,"E","Europe/Sarajevo" +6948,"Fort Worth NAS","Dallas","United States","","KNFW",32.769167,-97.441528,650,-6,"A","America/Chicago" +6949,"Naypyidaw","Naypyidaw","Burma","ELA","VYEL",19.6235,96.201028,302,6.5,"U","Asia/Rangoon" +6950,"Kyauktu","Kyauktu","Burma","","VYXG",21.406667,94.130278,1345,6.5,"U","Asia/Rangoon" +6951,"Jan Mayensfield","Jan Mayen","Norway","ZXB","ENJA",70.961111,-8.575833,33,1,"E","Arctic/Longyearbyen" +6952,"Bokepyin","Bokepyin","Burma","","VYBP",11.267,98.767,100,6.5,"U","Asia/Rangoon" +6953,"Huanghua Intl","Changsha","China","HHA",\N,28.189158,113.219633,217,8,"U","Asia/Chongqing" +6954,"Manzhouli","Manzhouli","China","NZH",\N,49.566667,117.329444,0,8,"U","Asia/Chongqing" +6955,"Wuhai","Wuhai","China","WUA","ZBUH",39.794444,106.799444,0,8,"U","Asia/Chongqing" +6956,"Gary Chicago International Airport","Gary","United States","GYY","KGYY",41.6163,-87.4128,591,-6,"A","America/Chicago" +6957,"Brainerd Lakes Rgnl","Brainerd","United States","BRD","KBRD",46.398308,-94.138078,1226,-6,"U","America/Chicago" +6958,"Greenbrier Valley Airport","Lewisburg","United States","LWB","KLWB",37.858333,-80.399444,2302,-5,"U","America/New_York" +6959,"Pitt-Greenville Airport","Greenville","United States","PGV","KPGV",35.635278,-77.385278,27,-5,"A","America/New_York" +6960,"Chefornak Airport","Chefornak","United States","CYF","PACK",60.149167,-164.285556,40,-9,"A","America/Anchorage" +6961,"Oxnard - Ventura County","Oxnard","United States","OXR","KOXR",34.200833,-119.207222,15,-8,"A","America/Los_Angeles" +6962,"Branson LLC","Branson","United States","BKG","KBBG",36.531994,-93.200556,1302,-6,"A","America/Chicago" +6963,"Tongren","Tongren","China","TEN","ZUTR",27.884,109.31,0,8,"U","Asia/Chongqing" +6964,"Jinggangshan","Jian","China","KNC","ZSJA",26.8575,114.737222,0,8,"U","Asia/Chongqing" +6965,"Penn Station","Baltimore","United States","ZBP",\N,39.307222,-76.615556,66,-5,"A","America/New_York" +6966,"Penn Station","New York","United States","ZYP",\N,40.7505,-73.9935,35,-5,"A","America/New_York" +6967,"Niau","Niau","French Polynesia","NIU","NTKN",-16.119037,-146.368406,49,-10,"U","Pacific/Tahiti" +6968,"Stratton ANGB - Schenectady County Airpor","Scotia NY","United States","SCH","KSCH",42.85245555,-73.928866666,378,-5,"A","America/New_York" +6969,"Begishevo","Nizhnekamsk","Russia","NBC","UWKE",55.34,52.06,50,4,"N","Europe/Moscow" +6970,"Bogovarovo","Bogovarovo","Russia","",\N,58.8535,47.0114,100,4,"N","Europe/Moscow" +6971,"Summit Camp","Greenland Ice Cap","Greenland","","GSUM",72.5795841916667,-38.4591850305556,10552,0,"N","America/Danmarkshavn" +6972,"Warri Airport","Osubi","Nigeria","QRW","DNSU",5.31,5.45,50,1,"U","Africa/Lagos" +6973,"Volkel","Volkel","Netherlands","","EHVK",51.656389,5.708611,72,1,"E","Europe/Amsterdam" +6974,"Sayak Airport","Siargao","Philippines","","RPNS",9.859097,126.014017,10,8,"N","Asia/Manila" +6975,"Langeoog Airport","Langeoog","Germany","LGO","EDWL",53.7425,7.49778,7,1,"E","Europe/Berlin" +6976,"Fane Airport","Fane","Papua New Guinea","FNE",\N,-8.55,147.083,0,10,"U","Pacific/Port_Moresby" +6977,"Itokama Airport","Itokama","Papua New Guinea","ITK",\N,-9.2,148.25,0,10,"U","Pacific/Port_Moresby" +6978,"Ononge Airport","Ononge","Papua New Guinea","ONB",\N,-8.583,147.2,0,10,"U","Pacific/Port_Moresby" +6979,"Tapini Airport","Tapini","Papua New Guinea","TPI",\N,-8.35,146.983,0,10,"U","Pacific/Port_Moresby" +6980,"Wanigela Airport","Wanigela","Papua New Guinea","AGL",\N,-9.333,149.15,0,10,"U","Pacific/Port_Moresby" +6981,"Woitape Airport","Woitape","Papua New Guinea","WTP",\N,-8.533,147.25,0,10,"U","Pacific/Port_Moresby" +6982,"Awaba Airport","Awaba","Papua New Guinea","AWB",\N,-8.014,142.75,0,10,"U","Pacific/Port_Moresby" +6983,"Telefomin Airport","Telefomin","Papua New Guinea","TFM",\N,-5.117,141.633,0,10,"U","Pacific/Port_Moresby" +6984,"Kappelen","Biel","Switzerland","","LSZP",47.089167,7.29,1437,1,"E","Europe/Zurich" +6985,"Nelspruit Airport","Nelspruit","South Africa","NLP","FANS",-25.5,30.9138,2875,2,"U","Africa/Johannesburg" +6986,"Cherkassy","Cherkassy","Ukraine","CKC","UKKE",49.416666,32.1333,114,2,"E","Europe/Kiev" +6987,"Gotska Sandon Heliport","Gotland","Sweden","",\N,58.392393,19.193142,0,1,"E","Europe/Stockholm" +6988,"Lauterhorn","Faro","Sweden","",\N,57.9521,19.0812,0,1,"E","Europe/Stockholm" +6989,"St. Augustine Airport","St. Augustine Airport","United States","UST","KSGJ",29.959167,-81.339722,10,-5,"A","America/New_York" +6990,"Mykolaiv International Airport","Nikolayev","Ukraine","NLV","UKON",47.0579,31.9198,184,2,"E","Europe/Kiev" +6991,"Ramechhap","Ramechhap","Nepal","RHP","VNRC",27.394005,86.06144,1555,5.75,"U","Asia/Katmandu" +6992,"Charles M Schulz Sonoma Co","Santa Rosa","United States","STS","KSTS",38.508978,-122.81288,125,-8,"A","America/Los_Angeles" +6993,"Kissimmee Gateway Airport","Kissimmee","United States","ISM","KISM",28.289806,-81.437083,82,-5,"A","America/New_York" +6994,"Lake City Municipal Airport","Lake City","United States","LCQ","KLCQ",30.181944,-82.576944,201,-5,"A","America/New_York" +6995,"DeLand Municipal Airport","DeLand","United States","","KDED",29.066944,-81.283889,79,-5,"A","America/New_York" +6996,"Haller Airpark Airport","Green Cove Springs","United States","","7FL4",29.903021,-81.685923,75,-5,"A","America/New_York" +6997,"Santa Lucia PNP Airstrip","Santa Lucia","Peru","","SLPA",-8.337041,-76.385733,50,-5,"U","America/Lima" +6998,"Logan-Cache","Logan","United States","LGU","KLGU",41.791,-111.852,4457,-7,"A","America/Denver" +6999,"Brigham City","Brigham City","United States","BMC","KBMC",41.552,-112.062,4229,-7,"A","America/Denver" +7000,"Malad City","Malad City","United States","MLD","KMLD",42.17,-112.289,4503,-7,"A","America/Denver" +7001,"Aspen Pitkin County Sardy Field","Aspen","United States","ASE","KASE",39.2232,-106.869,7820,-7,"A","America/Denver" +7002,"Hilton Head","Hilton Head","United States","HHH","KHHH",32.216,-80.752,10,-5,"U","America/New_York" +7003,"Barataevka","Ulyanovsk","Russia","ULV","UWLL",54.268299,48.2267,463,4,"N","Europe/Moscow" +7004,"Horog","Horog","Tajikistan","","UTOD",37.5,71.5,2000,4.5,"U","Asia/Kabul" +7005,"Sabi Sabi Airport","Sabi Sabi","South Africa","GSS",\N,-24.9415,31.4446,1276,2,"U","Africa/Johannesburg" +7006,"Philadelphia 30th St Station","Philadelphia","United States","ZFV",\N,39.9557,-75.182,0,-5,"A","America/New_York" +7007,"KBWD","Brownwood","United States","BWD",\N,31.7936111,-98.9565,1387,-6,"A","America/Chicago" +7008,"Mexia - Limestone County Airport","Mexia","United States","LXY",\N,31.6411783,-96.5144594,544,-6,"A","America/Chicago" +7009,"Kerrville Municipal Airport","Kerrville","United States","ERV","KERV",29.9766667,-99.0854722,1617,-6,"A","America/Chicago" +7010,"Birrfeld","Birrfeld","Switzerland","","LSZF",47.4436,8.23361,1300,1,"E","Europe/Zurich" +7011,"Sussex Co","Georgetown","United States","GED","KGED",38.689194,-75.358889,50,-5,"A","America/New_York" +7012,"Seal Cove Seaplane Base","Prince Rupert","Canada","ZSW","CZSW",54.3333,-130.283,0,-8,"A","America/Vancouver" +7013,"Great Bend Municipal","Great Bend","United States","GBN","KGBD",38.344167,-98.859167,1887,-6,"A","America/Chicago" +7014,"Hays Regional Airport","Hays","United States","HYS","KHYS",38.8422,-99.2732,1998,-6,"A","America/Chicago" +7015,"Spirit Of St Louis","Null","United States","SUS","KSUS",38.662119,-90.652044,463,-6,"A","America/Chicago" +7016,"Ely Municipal","Ely","United States","LYU","KELO",47.824444,-91.830833,1456,-6,"A","America/Chicago" +7017,"Grand Rapids Itasca County","Grand Rapids MN","United States","GPZ","KGPZ",47.211111,-93.509722,413,-6,"A","America/Chicago" +7018,"Thief River Falls","Thief River Falls","United States","TVF","KTVF",48.065556,-96.185,1116,-6,"A","America/Chicago" +7019,"Eagle River","Eagle River","United States","EGV","KEGV",45.932333,-89.268283,1642,-6,"A","America/Chicago" +7020,"Lakeland","Minocqua - Woodruff","United States","ARV","KARV",45.927778,-89.730833,1629,-6,"A","America/Chicago" +7021,"Ankeny Regl Airport","Ankeny","United States","IKV","KIKV",41.691389,-93.566389,910,-6,"A","America/Chicago" +7022,"Berens River","Berens River","Canada","YBV","CYBV",52.358889,-97.018333,728,-6,"A","America/Winnipeg" +7023,"Corpus Christi NAS","Corpus Christi","United States","NGP","KNGP",27.692701,-97.290376,18,-6,"A","America/Chicago" +7024,"Seaplane Base","Port Simpson","Canada","YPI","CYPI",54.566667,-130.433333,0,-8,"A","America/Vancouver" +7025,"Avalon","Catalina Island","United States","AVX","KAVX",33.405,-118.415833,1602,-8,"A","America/Los_Angeles" +7026,"Mojave","Mojave","United States","MHV","KMHV",35.059364,-118.151856,2791,-8,"A","America/Los_Angeles" +7027,"Air Base","Interlaken","Switzerland","ZIN","LSMI",46.6766,7.87908,1893,1,"E","Europe/Zurich" +7028,"Kenmore Air Harbor Inc Seaplane Base","Kenmore","United States","KEH",\N,47.7548,-122.259,14,-8,"A","America/Los_Angeles" +7029,"Municipal","Corozal","Belize","CZH",\N,18.3822,-88.4119,40,-6,"N","America/Belize" +7030,"Inisheer","Inisheer","Ireland","INQ","EIIR",53.0647,-9.5109,40,0,"E","Europe/Dublin" +7031,"Winterlandeplatz","Maennlichen","Switzerland","",\N,46.610833,7.9425,7297,1,"E","Europe/Zurich" +7032,"Paketzentrum","Ostermundigen","Switzerland","",\N,46.963,7.482,1854,1,"E","Europe/Zurich" +7033,"Strezhevoy","Strezhevoy","Russia","SWT","UNSS",60.716667,77.65,164,7,"N","Asia/Omsk" +7034,"Cashel","Cashel","Ireland","",\N,52.5158333,-7.8855556,440,0,"U","Europe/Dublin" +7035,"Hutchinson Municipal Airport","Hutchinson","United States","HUT","KHUT",38.0655,-97.8606,1543,-6,"A","America/Chicago" +7036,"Bagram AFB","Kabul","Afghanistan","BPM","OAIX",34.5646,69.1554,4895,4.5,"U","Asia/Kabul" +7037,"Al Kharj AFB","Al Kharj","Saudi Arabia","","OEPS",24.0346,47.345,1651,3,"N","Asia/Riyadh" +7038,"Eagle County Airport","Eagle","United States","EGA",\N,39.6427611,-106.9159347,6548,-7,"U","America/Denver" +7039,"Oak Lawn Train Station","Oak Lawn","United States","",\N,41.7198242969588,-87.7488327026367,500,-6,"U","America/Chicago" +7040,"Wrigleyville","Chicago","United States","",\N,41.948958067066,-87.6587533950806,500,-6,"U","America/Chicago" +7041,"Gelendzik","Gelendzik","Russia","GDZ",\N,44.566666666667,38.016666666667,50,4,"N","Europe/Moscow" +7042,"Rosecrans Mem","Rosecrans","United States","STJ","KSTJ",39.771944,-94.909706,826,-6,"A","America/Chicago" +7043,"Hartford Union Station","Hartford","United States","ZRT",\N,41.76888,-72.6815,0,-5,"A","America/New_York" +7044,"Stamford Amtrak Station","Stamford","United States","ZTF",\N,41.046937,-73.541493,0,-5,"A","America/New_York" +7045,"Newark Penn Station","Newark","United States","ZRP",\N,40.734722,-74.164167,0,-5,"A","America/New_York" +7046,"Papa Airport","Papa","Hungary","","LHPA",47.3636,17.5008,466,1,"E","Europe/Budapest" +7047,"Cuxhaven Airport","Cuxhaven","Germany","NDZ","KNDZ",53.768612,8.644722,75,1,"E","Europe/Berlin" +7048,"Volk Fld","Camp Douglas","United States","VOK","KVOK",43.938956,-90.253433,912,-6,"A","America/Chicago" +7049,"BFT County Airport","Beauford","United States","BFT","KBFT",32.41083,-80.635,500,-5,"A","America/New_York" +7050,"Adana-Incirlik Airbase","Adana","Turkey","UAB","KUAB",37.00028,35.41833,500,2,"E","Europe/Istanbul" +7051,"Gunnison - Crested Butte","Gunnison","United States","GUC","KGUC",38.533889,-106.933056,7678,-7,"A","America/Denver" +7052,"Xi\\'An Xiguan","Xi\\'AN","China","SIA","ZLSN",34.3767,109.12,0,8,"U","Asia/Chongqing" +7053,"Zamperini Field Airport","Torrance","United States","TOA","KTOA",33.803392,-118.339611,101,-8,"A","America/Los_Angeles" +7054,"Manistee County-Blacker Airport","Manistee","United States","MBL","KMBL",44.2725,-86.246944,621,-5,"A","America/New_York" +7055,"Hickam Air Force Base","Honolulu","United States","","PHIK",21.318681,-157.922427,13,-10,"N","Pacific/Honolulu" +7056,"Charlotte County-Punta Gorda Airport","Punta Gorda","United States","PGD","KPGD",26.919722,-81.990556,26,-5,"A","America/New_York" +7057,"Grand Canyon Heliport","Grand Canyon","United States","JGC",\N,35.96666666,-112.13333333,2500,-7,"A","America/Phoenix" +7058,"Northern Aroostook Regional Airport","Frenchville","United States","WFK","KFVE",47.285556,-68.312778,988,-5,"A","America/New_York" +7059,"Chautauqua County-Jamestown","Jamestown","United States","JHW","KJHW",42.153333,-79.258056,525,-5,"A","America/New_York" +7060,"Riviere Rouge - Mont-Tremblant International Inc. Airport","Mont-Tremblant","Canada","YTM","CYFJ",46.409444,-74.78,827,-5,"A","America/Toronto" +7061,"Lake Cumberland Regional Airport","Somerset","United States","SME","KSME",37.053611,-84.615556,927,-5,"A","America/New_York" +7062,"Shenandoah Valley Regional Airport","Weyers Cave","United States","SHD","KSHD",38.263889,-78.896389,1201,-5,"A","America/New_York" +7063,"Devils Lake Regional Airport","Devils Lake","United States","DVL","KDVL",48.114444,-98.908611,1445,-6,"A","America/Chicago" +7064,"Dickinson Theodore Roosevelt Regional Airport","Dickinson","United States","DIK","KDIK",46.7975,-102.801944,2592,-7,"A","America/Denver" +7065,"Sidney-Richland Municipal Airport","Sidney","United States","SDY","KSDY",47.706944,-104.1925,1984,-7,"A","America/Denver" +7066,"Chadron Municipal Airport","Chadron","United States","CDR","KCDR",42.8375,-103.095556,3297,-7,"A","America/Denver" +7067,"Alliance Municipal Airport","Alliance","United States","AIA","KAIA",42.053333,-102.803889,3931,-7,"A","America/Denver" +7068,"McCook Regional Airport","McCook","United States","MCK","KMCK",40.206389,-100.592222,2583,-6,"A","America/Chicago" +7069,"Florida Keys Marathon Airport","Marathon","United States","MTH","KMTH",24.726111,-81.051389,7,-5,"A","America/New_York" +7070,"Dawson Community Airport","Glendive","United States","GDV","KGDV",47.138611,-104.807222,749,-7,"A","America/Denver" +7071,"LM Clayton Airport","Wolf Point","United States","OLF","KOLF",48.094444,-105.575,1986,-7,"A","America/Denver" +7072,"Yellowstone Airport","West Yellowstone","United States","WYS","KWYS",44.688333,-111.1175,6644,-7,"A","America/Denver" +7073,"San Luis Valley Regional Airport","Alamosa","United States","ALS","KALS",37.435,-105.866667,7539,-7,"A","America/Denver" +7074,"Canyonlands Field","Moab","United States","CNY","KCNY",38.755,-109.754722,4555,-7,"A","America/Denver" +7075,"Ely Airport","Ely","United States","ELY","KELY",39.299722,-114.841944,6259,-8,"A","America/Los_Angeles" +7076,"Vernal Regional Airport","Vernal","United States","VEL","KVEL",40.440833,-109.51,5278,-7,"A","America/Denver" +7077,"Sierra Blanca Regional Airport","Ruidoso","United States","SRR","KSRR",33.46285,-105.534751,6814,-7,"A","America/Denver" +7078,"Show Low Regional Airport","Show Low","United States","SOW","KSOW",34.265556,-110.005556,6415,-7,"A","America/Phoenix" +7079,"McCall Municipal Airport","McCall","United States","MYL","KMYL",44.889722,-116.101389,5021,-7,"A","America/Denver" +7080,"Lemhi County Airport","Salmon","United States","SMN","KSMN",45.123889,-113.881389,4043,-7,"A","America/Denver" +7081,"Mammoth Yosemite Airport","Mammoth Lakes","United States","MMH","KMMH",37.624049,-118.837772,7128,-8,"A","America/Los_Angeles" +7082,"Friday Harbor Airport","Friday Harbor","United States","FRD","KFHR",48.521944,-123.024444,113,-8,"A","America/Los_Angeles" +7083,"Orcas Island Airport","Eastsound","United States","ESD","KORS",48.708056,-122.910556,31,-8,"A","America/Los_Angeles" +7084,"Anacortes Airport","Anacortes","United States","OTS",\N,48.498889,-122.6625,241,-8,"A","America/Los_Angeles" +7085,"Astoria Regional Airport","Astoria","United States","AST","KAST",46.157972,-123.878694,15,-8,"A","America/Los_Angeles" +7086,"Newport Municipal Airport","Newport","United States","ONP","KNOP",44.580361,-124.057917,160,-8,"A","America/Los_Angeles" +7087,"Emmonak Airport","Emmonak","United States","EMK","PAEM",62.786111,-164.490833,13,-9,"A","America/Anchorage" +7088,"Unalakleet Airport","Unalakleet","United States","UNK","PAUN",63.888333,-160.798889,21,-9,"A","America/Anchorage" +7089,"Ugnu-Kuparuk Airport","Kuparuk","United States","UUK","PAKU",70.330833,-149.5975,67,-9,"A","America/Anchorage" +7090,"Shageluk Airport","Shageluk","United States","SHX","PAHX",62.692222,-159.569167,79,-9,"A","America/Anchorage" +7091,"Chuathbaluk Airport","Chuathbaluk","United States","CHU","PACH",61.579167,-159.215556,243,-9,"A","America/Anchorage" +7092,"Nuiqsut Airport","Nuiqsut","United States","NUI","PAQT",70.21,-151.005556,38,-9,"A","America/Anchorage" +7093,"Eek Airport","Eek","United States","EEK","PAEE",60.213611,-162.043889,15,-9,"A","America/Anchorage" +7094,"Kasigluk Airport","Kasigluk","United States","KUK","PFKA",60.873333,-162.524444,40,-9,"A","America/Anchorage" +7095,"Kwethluk Airport","Kwethluk","United States","KWT","PFKW",60.790278,-161.443611,30,-9,"A","America/Anchorage" +7096,"Kwigillingok Airport","Kwigillingok","United States","KWK","PAGG",59.876389,-163.168611,18,-9,"A","America/Anchorage" +7097,"Marshall Don Hunter Sr. Airport","Marshall","United States","MLL","PADM",61.8646418,-162.026111,103,-9,"A","America/Anchorage" +7098,"Russian Mission Airport","Russian Mission","United States","RSH","PARS",61.775,-161.319444,51,-9,"A","America/Anchorage" +7099,"Tuntutuliak Airport","Tuntutuliak","United States","WTL",\N,60.335278,-162.666944,16,-9,"A","America/Anchorage" +7100,"Ekwok Airport","Ekwok","United States","KEK",\N,59.356944,-157.471111,135,-9,"A","America/Anchorage" +7101,"Koliganek Airport","Koliganek","United States","KGK","PAJZ",59.726667,-157.259444,269,-9,"A","America/Anchorage" +7102,"Levelock Airport","Levelock","United States","KLL",\N,59.128056,-156.858611,39,-9,"A","America/Anchorage" +7103,"Manokotak Airport","Manokotak","United States","KMO","PAMB",58.990278,-159.05,51,-9,"A","America/Anchorage" +7104,"Twin Hills Airport","Twin Hills","United States","TWA",\N,59.074444,-160.275,82,-9,"A","America/Anchorage" +7105,"Chalkyitsik Airport","Chalkyitsik","United States","CIK","PACI",66.645,-143.74,544,-9,"A","America/Anchorage" +7106,"Eagle Airport","Eagle","United States","EAA","PAEG",64.778056,-141.149722,908,-9,"A","America/Anchorage" +7107,"Hughes Airport","Hughes","United States","HUS","PAHU",66.039167,-154.264722,299,-9,"A","America/Anchorage" +7108,"Huslia Airport","Huslia","United States","HSL","PAHL",65.697778,-156.351389,213,-9,"A","America/Anchorage" +7109,"Livingood Airport","Livingood","United States","LIV",\N,65.531111,-148.541111,696,-9,"A","America/Anchorage" +7110,"Minto Airport","Minto","United States","MNT",\N,65.143611,-149.37,460,-9,"A","America/Anchorage" +7111,"Nulato Airport","Nulato","United States","NUL","PANU",64.729444,-158.074167,399,-9,"A","America/Anchorage" +7112,"Rampart Airport","Rampart","United States","RMP",\N,65.507778,-150.140833,302,-9,"A","America/Anchorage" +7113,"Tanana Airport","Tanana","United States","TAL",\N,65.179556,-152.075833,207,-9,"A","America/Anchorage" +7114,"Venetie Airport","Venetie","United States","VEE","PAVE",67.008611,-146.366389,574,-9,"A","America/Anchorage" +7115,"Beaver Airport","Beaver","United States","WBQ","PAWB",66.362222,-147.406667,359,-9,"A","America/Anchorage" +7116,"Central Airport","Central","United States","CEM","PACE",65.573889,-144.780833,937,-9,"A","America/Anchorage" +7117,"Shungnak Airport","Shungnak","United States","SHG","PAGH",66.888056,-157.1625,197,-9,"A","America/Anchorage" +7118,"Birch Creek Airport","Brich Creek","United States","KBC",\N,66.256708,-145.815319,450,-9,"A","America/Anchorage" +7119,"Coldfoot Airport","Coldfoot","United States","CXF",\N,67.251389,-150.176111,1014,-9,"A","America/Anchorage" +7120,"Inyokern Airport","Inyokern","United States","IYK","KIYK",35.658889,-117.829444,2455,-8,"A","America/Los_Angeles" +7121,"Visalia Municipal Airport","Visalia","United States","VIS","KVIS",36.318611,-119.392778,295,-8,"A","America/Los_Angeles" +7122,"Merced Municipal Airport","Merced","United States","MCE","KMCE",37.284722,-120.513889,156,-8,"A","America/Los_Angeles" +7123,"Laguna de Los Patos International Airport","Colonia","Uruguay","CYR","SUCA",-34.4564,-57.7706,66,-3,"U","America/Montevideo" +7124,"Camelo","Camelo","Uruguay","","SULO",-33.963882,-58.288612,10,-3,"U","America/Montevideo" +7125,"Amarais Airport","Campinas","Brazil","CPQ","SDAM",-22.8592,-47.1082,2008,-3,"S","America/Sao_Paulo" +7126,"Phoenix Goodyear","Goodyear","United States","","KGYR",33.423725,-112.374456,968,-7,"N","America/Phoenix" +7127,"Park City","Park City","United States","",\N,40.659444,-111.4997222,7000,-7,"U","America/Denver" +7128,"Toowoomba","Toowoomba","Australia","TWB","YTWB",-27.542778,151.916389,2086,10,"N","Australia/Brisbane" +7129,"Ballera","Ballera","Australia","","YLLE",-27.408333,141.808333,385,10,"N","Australia/Brisbane" +7130,"Gatton","Gatton","Australia","","YGAT",-27.5583000183105,152.341995239258,400,10,"N","Australia/Brisbane" +7131,"Arkalyk Airport","Arkalyk","Kazakhstan","AYK","UAUR",50.2395,66.941,1152,6,"U","Asia/Qyzylorda" +7132,"Hamburger Hafen","Hamburg","Germany","","ZZ06",53.542369,9.981592,0,1,"E","Europe/Berlin" +7133,"Flugplatz Fehmarn-Neujellingsdorf","Neujellingsdorf","Germany","","ZZ05",54.455802,11.109273,0,1,"E","Europe/Berlin" +7134,"Nabern Teck","Kirchheim-Teck","Germany","","EDTN",48.3676,9.2863,1215,1,"E","Europe/Berlin" +7135,"Angoon Seaplane Base","Angoon","United States","AGN","PAGN",57.503611,-134.585,0,-9,"A","America/Anchorage" +7136,"Elfin Cove Seaplane Base","Elfin Cove","United States","ELV","PAEL",58.195278,-136.3475,0,-9,"A","America/Anchorage" +7137,"Tenakee Seaplane Base","Tenakee Springs","United States","TKE",\N,57.779722,-135.218333,0,-9,"A","America/Anchorage" +7138,"Pelican Seaplane Base","Pelican","United States","PEC",\N,57.955278,-136.236389,0,-9,"A","America/Anchorage" +7139,"Chatham Seaplane Base","Sitka","United States","CYM",\N,57.515,-134.946111,0,-9,"A","America/Anchorage" +7140,"Funter Bay Seaplane Base","Funter Bay","United States","FNR","PANR",58.254444,-134.897778,0,-9,"A","America/Anchorage" +7141,"Excursion Inlet Seaplane Base","Excursion Inlet","United States","EXI",\N,58.420556,-135.449167,0,-9,"A","America/Anchorage" +7142,"Hoonah Airport","Hoonah","United States","HNH","PAOH",58.096111,-135.409722,19,-9,"A","America/Anchorage" +7143,"Kake Airport","Kake","United States","AFE","PAFE",56.961389,-133.910278,172,-9,"A","America/Anchorage" +7144,"Craig Seaplane Base","Craig","United States","CGA",\N,55.478889,-133.147778,0,-9,"A","America/Anchorage" +7145,"Hollis Seaplane Base","Hollis","United States","HYL",\N,55.481667,-132.646111,0,-9,"A","America/Anchorage" +7146,"Metlakatla Seaplane Base","Metakatla","United States","MTM","PAMM",55.131111,-131.578056,0,-9,"A","America/Anchorage" +7147,"Thorne Bay Seaplane Base","Thorne Bay","United States","KTB",\N,55.688056,-132.536667,0,-9,"A","America/Anchorage" +7148,"Hydaburg Seaplane Base","Hydaburg","United States","HYG","PAHY",55.206389,-132.828333,0,-9,"A","America/Anchorage" +7149,"Hyder Seaplane Base","Hyder","United States","WHD",\N,55.903333,-130.006667,0,-8,"A","America/Vancouver" +7150,"Point Baker Seaplane Base","Point Baker","United States","KPB",\N,56.351944,-133.6225,0,-9,"A","America/Anchorage" +7151,"Port Protection Seaplane Base","Port Protection","United States","PPV",\N,56.328889,-133.61,0,-9,"A","America/Anchorage" +7152,"North Whale Seaplane Base","North Whale Pass","United States","WWP",\N,56.116389,-133.121667,0,-9,"A","America/Anchorage" +7153,"Chignik Lake Airport","Chignik Lake","United States","KCQ",\N,56.255,-158.775278,50,-9,"A","America/Anchorage" +7154,"Egegik Airport","Egegik","United States","EGX","PAII",58.185556,-157.375556,92,-9,"A","America/Anchorage" +7155,"Chignik Lagoon Airport","Chignik Lagoon","United States","KCL",\N,56.311111,-158.534167,25,-9,"A","America/Anchorage" +7156,"Chignik Bay Seaplane Base","Chignik","United States","KBW",\N,56.295556,-158.401398,0,-9,"A","America/Anchorage" +7157,"Perryville Airport","Perryville","United States","KPV","PAPE",55.906667,-159.160833,29,-9,"A","America/Anchorage" +7158,"Pilot Point Airport","Pilot Point","United States","PIP","PAPN",57.585393,-157.571944,57,-9,"A","America/Anchorage" +7159,"South Naknek Airport","South Naknek","United States","WSN","PFWS",58.702222,-157.0025,162,-9,"A","America/Anchorage" +7160,"Akhiok Airport","Akhiok","United States","AKK","PAKH",56.938611,-154.1825,44,-9,"A","America/Anchorage" +7161,"Karuluk Airport","Karluk","United States","KYK","PAKY",57.566944,-154.450278,137,-9,"A","America/Anchorage" +7162,"Larsen Bay Airport","Larsen Bay","United States","KLN","PALB",57.535,-153.976667,87,-9,"A","America/Anchorage" +7163,"Old Harbor Airport","Old Harbor","United States","OLH",\N,57.218056,-153.269722,55,-9,"A","America/Anchorage" +7164,"Ouzinkie Airport","Ouzinkie","United States","KOZ",\N,57.922876,-152.500511,55,-9,"A","America/Anchorage" +7165,"Port Lions Airport","Port Lions","United States","ORI",\N,57.885278,-152.846111,52,-9,"A","America/Anchorage" +7166,"Alitak Seaplane Base","Lazy Bay","United States","ALZ",\N,56.899444,-154.247778,0,-9,"A","America/Anchorage" +7167,"Amook Bay Seaplane Base","Amook Bay","United States","AOS",\N,57.471389,-153.815278,0,-9,"A","America/Anchorage" +7168,"Kitoi Bay Seaplane Base","Kitoi Bay","United States","KKB",\N,58.190833,-152.370556,0,-9,"A","America/Anchorage" +7169,"Moser Bay Seaplane Base","Moser Bay","United States","KMY",\N,57.025556,-154.145833,0,-9,"A","America/Anchorage" +7170,"Olga Bay Seaplane Base","Olga Bay","United States","KOY",\N,57.161389,-154.229722,0,-9,"A","America/Anchorage" +7171,"Port Bailey Seaplane Base","Port Bailey","United States","KPY",\N,57.93,-153.040556,0,-9,"A","America/Anchorage" +7172,"Port Williams Seaplane Base","Port Williams","United States","KPR",\N,58.49,-152.582222,0,-9,"A","America/Anchorage" +7173,"Seal Bay Seaplane Base","Seal Bay","United States","SYB",\N,58.166667,-152.5,0,-9,"A","America/Anchorage" +7174,"San Juan - Uganik Seaplane Base","San Juan","United States","WSJ",\N,57.730278,-153.320556,0,-9,"A","America/Anchorage" +7175,"West Point Village Seaplane Base","West Point","United States","KWP",\N,57.77,-153.548889,0,-9,"A","America/Anchorage" +7176,"Zachar Bay Seaplane Base","Zachar Bay","United States","KZB",\N,57.55,-153.75,0,-9,"A","America/Anchorage" +7177,"Ambler Airport","Ambler","United States","ABL","PAFM",67.106389,-157.8575,334,-9,"A","America/Anchorage" +7178,"Buckland Airport","Buckland","United States","BKC","PABL",65.981667,-161.149167,31,-9,"A","America/Anchorage" +7179,"Bob Baker Memorial Airport","Kiana","United States","IAN","PAIK",66.975833,-160.436667,166,-9,"A","America/Anchorage" +7180,"Kobuk Airport","Kobuk","United States","OBU","PAOB",66.912222,-156.897222,137,-9,"A","America/Anchorage" +7181,"Robert Curtis Memorial Airport","Noorvik","United States","ORV","PFNO",66.8175,-161.022222,55,-9,"A","America/Anchorage" +7182,"Selawik Airport","Selawik","United States","WLK","PASK",66.6,-159.985833,17,-9,"A","America/Anchorage" +7183,"Brevig Mission Airport","Brevig Mission","United States","KTS","PFKT",65.331389,-166.465833,35,-9,"A","America/Anchorage" +7184,"Elim Airport","Elim","United States","ELI","PFEL",64.615,-162.270556,162,-9,"A","America/Anchorage" +7185,"Golovin Airport","Golovin","United States","GLV","PAGL",64.550556,-163.007222,59,-9,"A","America/Anchorage" +7186,"Teller Airport","Teller","United States","TLA","PATE",65.240278,-166.339444,294,-9,"A","America/Anchorage" +7187,"Wales Airport","Wales","United States","WAA","PAIW",65.6225,-168.095,22,-9,"A","America/Anchorage" +7188,"White Mountain Airport","White Mountain","United States","WMO","PAWM",64.689167,-163.412778,267,-9,"A","America/Anchorage" +7189,"Council Airport","Council","United States","CIL",\N,64.897778,-163.703333,85,-9,"A","America/Anchorage" +7190,"Koyuk Alfred Adams Airport","Koyuk","United States","KKA","PAKK",64.939444,-161.154167,154,-9,"A","America/Anchorage" +7191,"St. Michael Airport","St. Michael","United States","SMK","PAMK",63.49,-162.110278,98,-9,"A","America/Anchorage" +7192,"Shaktoolik Airport","Shaktoolik","United States","SKK","PFSH",64.371111,-161.223889,24,-9,"A","America/Anchorage" +7193,"Stebbins Airport","Stebbins","United States","WBB",\N,63.515833,-162.278056,14,-9,"A","America/Anchorage" +7194,"Tin City LRRS Airport","Tin City","United States","TNC","PATC",65.563056,-167.921667,269,-9,"A","America/Anchorage" +7195,"Atka Airport","Atka","United States","AKB","PAAK",52.220278,-174.206389,56,-9,"A","America/Anchorage" +7196,"Nikolski Air Station","Nikolski","United States","IKO","PAKO",52.941667,-168.848889,77,-9,"A","America/Anchorage" +7197,"Icy Bay Airport","Icy Bay","United States","ICY",\N,59.968889,-141.661667,50,-9,"A","America/Anchorage" +7198,"Yakataga Airport","Yakataga","United States","CYT","PACY",60.081901,-142.493611,12,-9,"A","America/Anchorage" +7199,"Alakanuk Airport","Alakanuk","United States","AUK","PAUK",62.68,-164.66,10,-9,"A","America/Anchorage" +7200,"Sheldon Point Airport","Nunam Iqua","United States","SXP",\N,62.520556,-164.847778,12,-9,"A","America/Anchorage" +7201,"Kipnuk Airport","Kipnuk","United States","KPN","PAKI",59.933056,-164.030556,11,-9,"A","America/Anchorage" +7202,"False Pass Airport","False Pass","United States","KFP","PAKF",54.8475,-163.410278,20,-9,"A","America/Anchorage" +7203,"Nelson Lagoon","Nelson Lagoon","United States","NLG","PAOU",56.0075,-161.160278,14,-9,"A","America/Anchorage" +7204,"Port Moller Airport","Cold Bay","United States","PML","PAAL",56.006111,-160.560833,20,-9,"A","America/Anchorage" +7205,"Klawock Airport","Klawock","United States","KLW","PAKW",55.579167,-133.076111,80,-9,"A","America/Anchorage" +7206,"Quinhagak Airport","Quinhagak","United States","KWN","PAQH",59.755,-161.845278,42,-9,"A","America/Anchorage" +7207,"Kotlik Airport","Kotlik","United States","KOT","PFKO",63.030556,-163.532778,15,-9,"A","America/Anchorage" +7208,"Koyukuk Airport","Koyukuk","United States","KYU","PFKU",64.875833,-157.730556,149,-9,"A","America/Anchorage" +7209,"Scammon Bay Airport","Scammon Bay","United States","SCM","PACM",61.845278,-165.571389,14,-9,"A","America/Anchorage" +7210,"Nondalton Airport","Nondalton","United States","NNL","PANO",59.966944,-154.851667,262,-9,"A","America/Anchorage" +7211,"Pedro Bay Airport","Pedro Bay","United States","PDB",\N,59.782222,-154.1325,45,-9,"A","America/Anchorage" +7212,"Nunapitchuk Airport","Nunapitchuk","United States","NUP",\N,60.905833,-162.439167,12,-9,"A","America/Anchorage" +7213,"Kongiganak Airport","Kongiganak","United States","KKH","PADY",59.960833,-162.881111,30,-9,"A","America/Anchorage" +7214,"Nikolai Airport","Nikolai","United States","NIB","PAFS",63.010833,-154.383889,427,-9,"A","America/Anchorage" +7215,"Takotna Airport","Takotna","United States","TCT",\N,62.971944,-156.082778,825,-9,"A","America/Anchorage" +7216,"Pilot Station Airport","Pilot Station","United States","PQS",\N,61.934444,-162.899444,305,-9,"A","America/Anchorage" +7217,"Akiak Airport","Akiak","United States","AKI","PFAK",60.902778,-161.230556,30,-9,"A","America/Anchorage" +7218,"Tuluksak Airport","Tuluksak","United States","TLT",\N,61.096944,-160.969444,30,-9,"A","America/Anchorage" +7219,"Grayling Airport","Grayling","United States","KGX",\N,62.894444,-160.065,99,-9,"A","America/Anchorage" +7220,"Wainwright Airport","Wainwright","United States","AIN","PAWI",70.638056,-159.994722,41,-9,"A","America/Anchorage" +7221,"ZAPALA","ZAPALA","Argentina","APZ","SAHZ",-38.9755,-70.113581,3330,-3,"N","America/Cordoba" +7222,"Rincon de los Sauces","Rincon de los Sauces","Argentina","RDS",\N,-37.390617,-68.904211,1969,-3,"N","America/Cordoba" +7223,"Colonia Sarmiento","Colonia Sarmiento","Argentina","OLN",\N,-45.6,-69.083333,849,-3,"N","America/Cordoba" +7224,"Grytvyken","Grytvyken","South Georgia and the Islands","",\N,-54.276667,-36.511667,538,-2,"S","Atlantic/South_Georgia" +7225,"Rio Turbio","Rio Turbio","Argentina","RYO",\N,-51.533333,-72.3,1158,-3,"N","America/Cordoba" +7226,"Puerto Natales","Puerto Natales","Chile","PNT","SCNT",-51.733333,-72.516667,9,-4,"S","America/Santiago" +7227,"Caleta Olivia","Caleta Olivia","Argentina","CVI",\N,-46.4333,-67.5333,124,-3,"N","America/Cordoba" +7228,"Fitz Roy","El Chalten","Argentina","",\N,-47.033333,-67.25,757,-3,"N","America/Cordoba" +7229,"Sierra Grande","Sierra Grande","Argentina","SGV","SAVS",-41.592,-65.341,820,-3,"N","America/Cordoba" +7230,"Ingeniero Jacobacci","Ingeniero Jacobacci","Argentina","IGB","SAVJ",-41.3,-69.5833,2936,-3,"N","America/Cordoba" +7231,"Lago Posadas","Lago Posadas","Argentina","",\N,-47.533333,-71.75,748,-3,"N","America/Cordoba" +7232,"El Chalten","El Chalten","Argentina","ELX",\N,-49.328889,-72.93,1279,-3,"N","America/Cordoba" +7233,"Chenega Bay Airport","Chenega","United States","NCN","PFCB",60.077222,-147.991944,72,-9,"A","America/Anchorage" +7234,"Chisana Airport","Chisana","United States","CZN",\N,62.071111,-142.048333,1011,-9,"A","America/Anchorage" +7235,"Tok Junction Airport","Tok","United States","6K8","PFTO",63.329444,-142.953611,1639,-9,"A","America/Anchorage" +7236,"Circle City Airport","Circle","United States","IRC","PACR",65.827778,-144.076111,613,-9,"A","America/Anchorage" +7237,"Coffman Cove Seaplane Base","Coffman Cove","United States","KCC",\N,56.014722,-132.833889,0,-9,"A","America/Anchorage" +7238,"Crooked Creek Airport","Crooked Creek","United States","CKD",\N,61.867778,-158.135,178,-9,"A","America/Anchorage" +7239,"Red Devil Airport","Red Devil","United States","RDV",\N,61.788056,-157.350278,174,-9,"A","America/Anchorage" +7240,"Sleetmute Airport","Sleetmute","United States","SLQ","PASL",61.700566,-157.165833,190,-9,"A","America/Anchorage" +7241,"Stony River 2 Airport","Stony River","United States","SRV",\N,61.7875,-156.591111,230,-9,"A","America/Anchorage" +7242,"Healy River Airport","Healy","United States","HKB","PAHV",63.8675,-148.968889,1263,-9,"A","America/Anchorage" +7243,"Kake Seaplane Base","Kake","United States","KAE",\N,56.973056,-133.945556,0,-9,"A","America/Anchorage" +7244,"Klawock Seaplane Base","Klawock","United States","AQC","PAQC",55.554658,-133.101693,0,-9,"A","America/Anchorage" +7245,"Minchumina Airport","Lake Minchumina","United States","MHM","PAMH",63.886111,-152.301944,678,-9,"A","America/Anchorage" +7246,"Manley Hot Springs Airport","Manley Hot Springs","United States","MLY","PAML",64.9975,-150.644167,270,-9,"A","America/Anchorage" +7247,"St. George Airport","St. George","United States","STG",\N,56.577222,-169.663611,125,-9,"A","America/Anchorage" +7248,"Tatitlek Airport","Tatitlek","United States","TEK",\N,60.8725,-146.691111,62,-9,"A","America/Anchorage" +7249,"Ketchikan harbor Seaplane Base","Ketchikan","United States","WFB",\N,55.344444,-131.663333,0,-9,"A","America/Anchorage" +7250,"Fox Harbour Airport","Fox Harbour","Canada","",\N,45.87,-63.461111,62,-4,"A","America/Halifax" +7251,"Natuashish Airport","Natuashish","Canada","","CNH2",55.913889,-61.184444,33,-4,"A","America/Halifax" +7252,"Postville Airport","Postville","Canada","YSO","CCD4",54.910278,-59.785278,223,-4,"A","America/Halifax" +7253,"Kangiqsujuaq - Wakeham Bay Airport","Kangiqsujuaq","Canada","YWB","CYKG",61.588611,-71.929444,501,-5,"A","America/Toronto" +7254,"Alma Airport","Alma","Canada","YTF","CYTF",48.508611,-71.641389,449,-5,"A","America/Toronto" +7255,"Havre Saint-Pierre Airport","Havre-Saint-Pierre","Canada","YGV","CYGV",50.281944,-63.611389,124,-5,"A","America/Toronto" +7256,"Rimouski Airport","Rimouski","Canada","YXK","CYXK",48.478056,-68.496944,82,-5,"A","America/Toronto" +7257,"Vakarufahli Island","Vakarufahli Island","Maldives","",\N,3.578742,72.902075,0,5,"U","Indian/Maldives" +7258,"Vakarufalhi Island","Vakarufalhi Island","Maldives","",\N,3.578742,72.902075,0,5,"N","Indian/Maldives" +7259,"Tadoule Lake Airport","Tadoule Lake","Canada","XTL","CYBQ",58.706111,-98.512222,923,-6,"A","America/Winnipeg" +7260,"Lac Brochet Airport","Lac Brochet","Canada","XLB","CZWH",58.614167,-101.468889,1212,-6,"A","America/Winnipeg" +7261,"South Indian Lake Airport","South Indian Lake","Canada","XSI","CZSN",56.792778,-98.907222,951,-6,"A","America/Winnipeg" +7262,"Brochet Airport","Brochet","Canada","YBT","CYBT",57.889444,-101.679167,1131,-6,"A","America/Winnipeg" +7263,"Little Grand Rapids Airport","Little Grand Rapids","Canada","ZGR","CZGR",52.045,-95.466111,1008,-6,"A","America/Winnipeg" +7264,"Cross Lake - Charlie Sinclair Memorial Airport","Cross Lake","Canada","YCR","CYCR",54.610833,-97.760278,707,-6,"A","America/Winnipeg" +7265,"Red Sucker Lake Airport","Red Sucker Lake","Canada","YRS","CYRS",54.167222,-93.557222,729,-6,"A","America/Winnipeg" +7266,"Rainbow Lake Airport","Rainbow Lake","Canada","YOP","CYOP",58.491389,-119.407778,1756,-7,"A","America/Edmonton" +7267,"Bonnyville Airport","Bonnyville","Canada","YBY","CYBF",54.304722,-110.741111,1839,-7,"A","America/Edmonton" +7268,"Nanaimo Harbour Water Airport","Nanaimo","Canada","ZNA","CAC8",49.183333,-123.95,0,-8,"A","America/Vancouver" +7269,"Ganges Water Aerodrome","Ganges","Canada","","CAX6",48.85,-123.5,0,-8,"A","America/Vancouver" +7270,"Bedwell Harbour Water Aerdrome","Bedwell Harbour","Canada","",\N,48.75,-123.233333,0,-8,"A","America/Vancouver" +7271,"Qualicum Beach Airport","Qualicum Beach","Canada","XQU",\N,49.337222,-124.393889,191,-8,"A","America/Vancouver" +7272,"Fort St. James - Perison Airport","Fort St. James","Canada","YJM","CYJM",54.397222,-124.262778,2364,-8,"A","America/Vancouver" +7273,"Boundary Bay Airport","Boundary Bay","Canada","YDT","CZBB",49.073889,-123.0075,6,-8,"A","America/Vancouver" +7274,"Langley Regional Airport","Langley Township","Canada","","CYNJ",49.101111,-122.630556,34,-8,"A","America/Vancouver" +7275,"Bella Bella Airport","Bella Bella","Canada","ZEL","CYJQ",52.139722,-128.063611,162,-8,"A","America/Vancouver" +7276,"Sechelt Aerodrome","Sechelt-Gibsons","Canada","YHS",\N,49.460556,-123.718611,250,-8,"A","America/Vancouver" +7277,"Wekweeti Airport","Wekweeti","Canada","","CFJ2",64.190833,-114.076667,1206,-7,"A","America/Edmonton" +7278,"Campo Cuatro Milpas Airport","Guasave","Mexico","","MM52",25.651944,-108.538056,72,-7,"A","America/Mazatlan" +7279,"Isla de Cedros Airport","Cedros","Mexico","","MMCD",28.0375,-115.189444,98,-6,"A","America/Mexico_City" +7280,"Cabo San Lucas International Airport","Cabo San Lucas","Mexico","","MMSL",22.9475,-109.937081,459,-7,"A","America/Mazatlan" +7281,"Bahia Tortugas Airfield","Bahia Tortugas","Mexico","",\N,27.705278,-114.911111,102,-7,"A","America/Mazatlan" +7282,"Palo Verde Airport","San Bruno","Mexico","PVP",\N,27.093056,-112.098889,55,-7,"A","America/Mazatlan" +7283,"Ziyaraifushi","Ziyaraifushi","Maldives","",\N,4.531313889,73.373325,0,5,"U","Indian/Maldives" +7284,"Brussels Gare du Midi","Brussels","Belgium","ZYR",\N,50.8,4.4,180,1,"E","Europe/Brussels" +7285,"Caye Chapel Airport","Caye Chapel","Belize","CYC",\N,17.683611,-88.045,10,-6,"U","America/Belize" +7286,"Big Creek Airport","Big Creek","Belize","BGK",\N,16.516667,-88.416667,16,-6,"U","America/Belize" +7287,"Dangriga Airport","Dangriga","Belize","DGA",\N,16.966667,-88.216667,10,-6,"U","America/Belize" +7288,"Placencia Airport","Placencia","Belize","PLJ",\N,16.536944,-88.361667,42,-6,"U","America/Belize" +7289,"Sartaneja Airport","Sarteneja","Belize","SJX",\N,18.355556,-88.130833,10,-6,"U","America/Belize" +7290,"Huehuetenango Airport","Huehuetenango","Guatemala","",\N,15.314722,-91.476111,1901,-6,"U","America/Guatemala" +7291,"Corn Island Airport","Corn Island","Nicaragua","RNI","MNCI",12.168611,-83.0675,26,-6,"U","America/Managua" +7292,"Bonanza Airport","Bonanza","Nicaragua","BZA","MNBZ",14.041667,-84.630556,597,-6,"U","America/Managua" +7293,"Rosita Airport","Rosita","Nicaragua","RFS","MNRT",13.897222,-84.404722,207,-6,"U","America/Managua" +7294,"Siuna Airport","Siuna","Nicaragua","SIU","MNSI",13.716667,-84.776944,480,-6,"U","America/Managua" +7295,"Waspam Airport","Waspam","Nicaragua","WSP","MNWP",14.737778,-83.975833,115,-6,"U","America/Managua" +7296,"San Carols Airport","San Carlos","Nicaragua","","MNSC",11.133333,-84.783333,131,-6,"U","America/Managua" +7297,"Carrillo Airport","Carrillo","Costa Rica","RIK","MRCR",9.866667,-85.483333,10,-6,"U","America/Costa_Rica" +7298,"Fussen","Fussen","Germany","FUS","FUSS",47.585,10.6866,800,1,"U","Europe/Berlin" +7299,"John A. Osborne Airport","Montserrat","Montserrat","",\N,16.791389,-62.193333,550,-4,"U","America/Montserrat" +7300,"Monte Plata Batley Juan Sanchez Field","Monte Plata","Dominican Republic","","MDJS",18.81,-69.79,1424,-4,"U","America/Santo_Domingo" +7301,"Constanza Airport","Constanza","Dominican Republic","COZ","MDCZ",18.907626,-70.719852,3931,-4,"U","America/Santo_Domingo" +7302,"Negril Aerodrome","Negril","Jamaica","NEG","MKNG",18.34,-78.335556,9,-5,"U","America/Jamaica" +7303,"Bochum Railway","Bochum","Germany","EBO",\N,51.478506,7.222781,45,1,"U","Europe/Berlin" +7304,"Fliegerhost ","Kaufbeuren","Germany","KFB",\N,47.874,10.6294,680,1,"U","Europe/Berlin" +7305,"Munich Railway","Munich","Germany","ZMU",\N,48.1408,11.555,500,1,"U","Europe/Berlin" +7306,"Nuernberg Railway","Nuernberg","Germany","ZAQ",\N,49.446389,11.081944,312,1,"U","Europe/Berlin" +7307,"Jose Aponte de la Torre Airport","Ceiba","Puerto Rico","RVR","TJRV",18.245278,-65.643333,38,-4,"A","America/Puerto_Rico" +7308,"Aeropuerto Internacional Valle del Conlara","Merlo","Argentina","RLO",\N,-32.349803,-65.179932,100,-3,"N","America/Cordoba" +7309,"Charlotte Amalie Harbor","Charlotte Amalie","Virgin Islands","","VI22",18.338611,-64.940833,0,-4,"A","America/St_Thomas" +7310,"Christiansted Harbor Seaplane Base","Christiansted","Virgin Islands","SSB",\N,17.747222,-64.705,0,-4,"A","America/St_Thomas" +7311,"Alto Rio Senguer Airport","Alto Rio Senguer","Argentina","ARR","SAVR",-45.016667,-70.816667,2145,-3,"N","America/Cordoba" +7312,"Jose de San Martin Airport","Jose de San Martin","Argentina","JSM","SAWS",-44.016667,-70.466667,4359,-3,"N","America/Cordoba" +7313,"Uyuni Airport","Uyuni","Bolivia","UYU","SLUY",-20.466667,-66.833333,11990,-4,"U","America/La_Paz" +7314,"Augsburg Railway","Augsburg","Germany","ZAU",\N,48.3655,10.8863,500,1,"U","Europe/Berlin" +7315,"Mannheim Railway","Mannheim","Germany","ZMA",\N,49.479633,8.469858,200,1,"E","Europe/Berlin" +7316,"Essen Railway","Essen","Germany","ZES",\N,51.451389,7.013889,200,1,"U","Europe/Berlin" +7317,"Rurrenabaque Airport","Rerrenabaque","Bolivia","RBQ","SLRQ",-14.4275,-67.498056,898,-4,"U","America/La_Paz" +7318,"Lancaster Amtrak Station","Lancaster","United States","",\N,40.05,-76.31,345,-5,"A","America/New_York" +7319,"Ardmore Amtrak Station","Ardmore","United States","",\N,40.01,-75.29,360,-5,"A","America/New_York" +7320,"Abaiang Atoll Airport","Abaiang Atoll","Kiribati","ABF","NGAB",1.8,173.04,1,12,"U","Pacific/Tarawa" +7321,"Metropark Amtrak Station","Iselin","United States","",\N,40.568,-74.3275,1,-5,"A","America/New_York" +7322,"St. Louis Downtown Airport","East St. Louis","United States","CPS",\N,38.5707244,-90.1562211,413,-6,"U","America/Chicago" +7323,"Afobaka Airstrip","Afobaka","Suriname","","SMAF",4.9982,-54.9919,10,-3,"U","America/Paramaribo" +7324,"Alalapadu Airstrip","Alapadu","Suriname","","SMDU",2.5232,-56.3241,10,-3,"U","America/Paramaribo" +7325,"Albina Airstrip","Albina","Suriname","ABN","SMBN",5.516667,-54.05,10,-3,"U","America/Paramaribo" +7326,"Lawa Anapaike Airstrip","Anapaike","Suriname","","SMLA",3.416667,-54.033333,10,-3,"U","America/Paramaribo" +7327,"Apetina Airstrip","Apetina","Suriname","","SMPT",3.5017,-55.0614,10,-3,"U","America/Paramaribo" +7328,"Botopassi Airstrip","Botopasi","Suriname","BTO",\N,4.233333,-55.45,10,-3,"U","America/Paramaribo" +7329,"Djoemoe Airstrip","Djoemoe","Suriname","DOE",\N,4.016667,-55.483333,10,-3,"U","America/Paramaribo" +7330,"Drietabbetje Airstrip","Drietabbetje","Suriname","DRJ","SMDA",4.11667,-54.66667,10,-3,"U","America/Paramaribo" +7331,"Kabalebo Airstrip","Kabalebo","Suriname","","SMKA",4.406,-57.223,10,-3,"U","America/Paramaribo" +7332,"Kayser Airstrip","Kayser","Suriname","","SMKE",3.1,-56.483,10,-3,"U","America/Paramaribo" +7333,"Kwamelasemoetoe Airstrip","Kwamelasemoetoe","Suriname","","SMSM",2.33333,-56.783333,10,-3,"U","America/Paramaribo" +7334,"Moengo Airstrip","Moengo","Suriname","","SMMO",5.616667,-54.4,10,-3,"U","America/Paramaribo" +7335,"Majoor Henry Fernandes Airport","Nieuw Nickerie","Suriname","ICK","SMNI",5.955556,-57.039444,9,-3,"U","America/Paramaribo" +7336,"Vincent Fayks Airport","Paloemeu","Suriname","OEM","SMPA",5.811111,-55.190833,10,-3,"U","America/Paramaribo" +7337,"Sarakreek Airstrip","Sarakreek","Suriname","","SMSK",4.9,-55.083333,10,-3,"U","America/Paramaribo" +7338,"Sipaliwini Airstrip","Sipaliwini","Suriname","","SMSI",1.96605,-56.0035,10,-3,"U","America/Paramaribo" +7339,"Stoelmans Eiland Airstrip","Stoelmans Eiland","Suriname","SMZ","SMST",4.35,-54.41667,10,-3,"U","America/Paramaribo" +7340,"Totness Airstrip","Totness","Suriname","TOT","SMCO",5.865833,-56.3275,10,-3,"U","America/Paramaribo" +7341,"Wageningen Airstrip","Wageningen","Suriname","AGI","SMWA",5.76667,-56.63333,10,-3,"U","America/Paramaribo" +7342,"Kaieteur International Airport","Kaieteur Falls","Guyana","KIA","PSKA",5.163333,-59.483333,95,-4,"U","America/Guyana" +7343,"Codela Airport","Guapiles","Costa Rica","CSC","MRCA",10.414,-85.0917,328,-6,"U","America/Costa_Rica" +7344,"Newport News Amtrak Station","Newport News","United States","",\N,37.0228,-76.4519,0,-5,"A","America/New_York" +7345,"Portland Union Station","Portland","United States","",\N,45.529,-122.6768,0,-8,"A","America/Los_Angeles" +7346,"Orinduik Airport","Orinduik","Guyana","ORJ","SYOR",4.7,-60.016667,10,-4,"U","America/Guyana" +7347,"Annai Airport","Annai","Guyana","NAI","SYAN",3.95,-59.133333,10,-4,"U","America/Guyana" +7348,"Apoteri Airport","Apoteri","Guyana","","SYAP",4.033333,-58.583333,10,-4,"U","America/Guyana" +7349,"Imbaimadai Airport","Imbaimadai","Guyana","IMB","SYIB",5.69252,-60.28198,10,-4,"U","America/Guyana" +7350,"Kamarang Airport","Kamarang","Guyana","KAR","SYKM",5.865278,-60.614167,10,-4,"U","America/Guyana" +7351,"Mabaruma Airport","Mabaruma","Guyana","USI","SYMB",8.2,-59.783333,10,-4,"U","America/Guyana" +7352,"Mahdia Airport","Mahdia","Guyana","MHA","SYMD",5.266667,-59.15,10,-4,"U","America/Guyana" +7353,"Dr. Augusto Roberto Fuster International Airport","Pedro Juan Caballero","Paraguay","PJC","SGPJ",-22.641389,-55.829722,1873,-4,"U","America/Asuncion" +7354,"Alcides Fernandez Airport","Acandi","Colombia","ACD","SKAD",8.516667,-77.3,50,-5,"U","America/Bogota" +7355,"Los Colonizadores Airport","Saravena","Colombia","RVE","SKSA",6.916667,-71.9,10,-5,"U","America/Bogota" +7356,"La Chorrera Airport","La Chorrera","Colombia","LCR",\N,-0.733333,-73.016667,10,-5,"U","America/Bogota" +7357,"Batagay Airport","Batagay","Russia","","UEBB",67.648,134.695,696,11,"N","Asia/Vladivostok" +7358,"La Macarena","La Macarena","Colombia","LMC",\N,2.179167,-73.7875,10,-5,"U","America/Bogota" +7359,"Villa Garzon Airport","Villa Garzon","Colombia","VGZ","SKVG",0.978889,-76.605556,1248,-5,"U","America/Bogota" +7360,"El Bagre Airport","El Bagre","Colombia","EBG","SKEB",7.596389,-74.808889,180,-5,"U","America/Bogota" +7361,"Juan H. White","Caucasia","Colombia","CAQ","SKCU",7.968333,-75.198333,174,-5,"U","America/Bogota" +7362,"Mandinga Airport","Condoto","Colombia","COG","SKCD",5.071667,-76.676389,10,-5,"U","America/Bogota" +7363,"Golfo de Morrosquillo Airport","Tolu","Colombia","TLU","SKTL",9.511944,-75.586389,10,-5,"U","America/Bogota" +7364,"Cabo Frio International Airport","Cabo Frio","Brazil","CFB","SBCB",-22.921667,-42.074167,14,-3,"S","America/Sao_Paulo" +7365,"Westport Amtrak Station","Westport","United States","",\N,44.1871,-73.4519,1,-5,"A","America/New_York" +7366,"Trenton Amtrak Station","Trenton","United States","",\N,40.21889,-74.75417,1,-5,"A","America/New_York" +7367,"Sinop Airport","Sinop","Brazil","OPS","SWSI",-11.885,-55.586,10,-4,"S","America/Campo_Grande" +7368,"Gurupi Airport","Gurupi","Brazil","GRP","SWGI",-11.728889,-49.068889,10,-3,"S","America/Fortaleza" +7369,"Campo Alegre Airport","Santana do Araguaia","Brazil","CMP","SNKE",-9.505,-50.625,525,-4,"S","America/Boa_Vista" +7370,"Breves Airport","Breves","Brazil","BVS","SNVS",-1.681944,-50.48,131,-4,"S","America/Boa_Vista" +7371,"Soure Airport","Soure","Brazil","SFK","SNSW",-0.716944,-48.522778,33,-4,"S","America/Boa_Vista" +7372,"Julio Belem Airport","Parintins","Brazil","PIN","SWPI",-2.627778,-56.735833,500,-4,"S","America/Boa_Vista" +7373,"Barreiras Airport","Barreiras","Brazil","BRA","SNBR",-12.083333,-45,1356,-3,"S","America/Fortaleza" +7374,"Confresa Airport","Santa Terezinha","Brazil","STZ","SWST",-10.47,-50.502778,650,-4,"S","America/Campo_Grande" +7375,"Minacu Airport","Minacu","Brazil","MQH","SBMC",-13.526944,-48.220556,1053,-3,"S","America/Sao_Paulo" +7376,"Araguaina Airport","Araguaina","Brazil","AUX","SWGN",-7.228333,-48.240833,771,-3,"S","America/Fortaleza" +7377,"Novo Aripuana Airport","Novo Aripuana","Brazil","NVP","SWNA",-5.121389,-60.380556,500,-4,"S","America/Boa_Vista" +7378,"Bom Futuro Airport","Lucas do Rio Verde","Brazil","LVR","SWFE",-13.05,-55.910833,500,-4,"S","America/Campo_Grande" +7379,"Franca Airport","Franca","Brazil","FRC","SIMK",-20.538611,-47.400833,1040,-3,"S","America/Sao_Paulo" +7380,"Dourados Airport","Dourados","Brazil","DOU","SSDO",-22.220833,-54.805833,1433,-4,"S","America/Campo_Grande" +7381,"Labrea Airport","Labrea","Brazil","LBR","SWLB",-7.258889,-64.797778,225,-4,"S","America/Boa_Vista" +7382,"Rondonopolis Airport","Rondonopolis","Brazil","ROO","SWRD",-16.466667,-54.633333,500,-4,"S","America/Campo_Grande" +7383,"Tancredo Thomaz de Faria Airport","Guarapuava","Brazil","GPB","SBGU",-25.383333,-51.45,200,-3,"S","America/Sao_Paulo" +7384,"Joacaba Airport","Joacaba","Brazil","JCB","SSJA",-27.172778,-51.500833,1713,-3,"S","America/Sao_Paulo" +7385,"North Philadelphia Amtrak Station","Philadelphia","United States","",\N,39.9969556,-75.1487722,1,-5,"A","America/New_York" +7386,"Aberdeen Railway Station","Aberdeen","United Kingdom","",\N,57.1436,-2.0985,1,0,"U","Europe/London" +7387,"Glasgow Railway Station","Glasgow","United Kingdom","",\N,55.8622,-4.2512,0,0,"U","Europe/London" +7388,"Edinburgh Waverly Station","Edinburgh","United Kingdom","ZXE",\N,55.952,-3.189,0,0,"U","Europe/London" +7389,"Newcastle Railway Station","Newcastle Upon Tyne","United Kingdom","",\N,54.9686,-1.6171,0,0,"U","Europe/London" +7390,"Leeds Railway Station","Leeds","United Kingdom","",\N,53.794,-1.547,0,0,"U","Europe/London" +7391,"Manchester Picadilly Station","Manchester","United Kingdom","",\N,53.477,-2.23,0,0,"U","Europe/London" +7392,"Liverpool Railway Station","Liverpool","United Kingdom","",\N,53.405,-2.979,0,0,"U","Europe/London" +7393,"London Euston Railway Station","London","United Kingdom","",\N,51.5284,-0.1331,0,0,"U","Europe/London" +7394,"General leite de Castro Airport","Rio Verde","Brazil","RVD","SWLC",-17.790278,-50.918333,2244,-3,"S","America/Sao_Paulo" +7395,"Araxa Airport","Araxa","Brazil","AAX","SBAX",-19.563056,-46.960278,3276,-3,"S","America/Sao_Paulo" +7396,"Maues Airport","Maues","Brazil","MBZ","SWMW",-3.383611,-57.718611,500,-4,"S","America/Boa_Vista" +7397,"Borba Airport","Borba","Brazil","RBB","SWBR",-4.387778,-59.593889,500,-4,"S","America/Boa_Vista" +7398,"Coari Airport","Coari","Brazil","CIZ","SWKO",-4.085,-63.140833,33,-4,"S","America/Boa_Vista" +7399,"Barcelos Airport","Barcelos","Brazil","BAZ","SWBC",-0.975,-62.923889,500,-4,"S","America/Boa_Vista" +7400,"Herbert Glacier","Juneau","United States","",\N,58.571385,-134.607754,0,-9,"A","America/Anchorage" +7401,"Seattle Cruise Terminal","Seattle","United States","",\N,47.615884,-122.330017,0,-8,"A","America/Los_Angeles" +7402,"Juneau Cruise Pier","Juneau","United States","",\N,58.335451,-134.414978,0,-9,"A","America/Anchorage" +7403,"Skagway Cruise Pier","Skagway","United States","",\N,59.470896,-135.31723,0,-9,"A","America/Anchorage" +7404,"Ketchikan Cruise Pier","Ketchikan ","United States","",\N,55.346327,-131.644707,0,-9,"A","America/Anchorage" +7405,"Victoria Cruise Pier","Victoria","Canada","",\N,48.429144,-123.367023,0,-8,"A","America/Vancouver" +7406,"Diamantino Airport","Diamantino","Brazil","DMT","SWDM",-14.408889,-56.445833,1837,-4,"S","America/Campo_Grande" +7407,"Guanambi Airport","Guanambi","Brazil","GNM","SNGI",-14.216667,-42.783333,500,-3,"S","America/Fortaleza" +7408,"Tsletsi Airport","Djelfa","Algeria","QDJ","DAFI",34.6657,3.351,10,1,"U","Africa/Algiers" +7409,"Nzagi Airport","Nzagi","Angola","","FNZG",-7.716944,21.358056,2431,1,"U","Africa/Luanda" +7410,"Catoca Airport","Catoca","Angola","",\N,-9.433017,20.311189,500,1,"U","Africa/Luanda" +7411,"Lucapa Airport","Lucapa","Angola","LBZ","FNLK",-8.443056,20.732222,500,1,"U","Africa/Luanda" +7412,"Kapanda Airport","Kapanda","Angola","KNP","FNCP",-9.771944,15.456111,500,1,"U","Africa/Luanda" +7413,"Am Timan Airport","Am Timan","Chad","AMC","FTTN",11.034,20.274,1421,1,"U","Africa/Ndjamena" +7414,"Sharq Al-Owainat Airport","Sharq Al-Owainat","Egypt","GSQ","HEOW",22.5806,28.7207,859,2,"U","Africa/Cairo" +7415,"Eastern WV Regional Airport","Martinsburg","United States","MRB","KMRB",39.2407,-77.591,554,-5,"A","America/New_York" +7416,"Awasa Airport","Awasa","Ethiopia","AWA","HALA",7.067,38.5,5149,3,"U","Africa/Addis_Ababa" +7417,"Jijiga Airport","Jijiga","Ethiopia","JIJ","HAJJ",9.359722,42.7875,2000,3,"U","Africa/Addis_Ababa" +7418,"Mekane Salam Airport","Mekane Selam","Ethiopia","MKS","HAMA",10.633333,38.783333,3000,3,"U","Africa/Addis_Ababa" +7419,"Debre Marqos","Debre Marqos","Ethiopia","DBM","HADM",10.316667,37.733333,7440,3,"U","Africa/Addis_Ababa" +7420,"Debre Tabor Airport","Debre Tabor","Ethiopia","DBT","HADT",11.966667,38,7740,3,"U","Africa/Addis_Ababa" +7421,"Harar Meda Airport","Debre Zeyit","Ethiopia","QHR","HAHM",8.7163,39.0059,8850,3,"U","Africa/Addis_Ababa" +7422,"Robe Airport","Goba","Ethiopia","GOB","HAGB",6.733333,44.266667,4000,3,"U","Africa/Addis_Ababa" +7423,"Mayumba Airport","Mayumba","Gabon","MYB","FOOY",-3.416667,10.65,500,1,"U","Africa/Libreville" +7424,"Mara Serena Airport","Masai Mara","Kenya","MRE",\N,-1.406111,35.008056,500,3,"U","Africa/Nairobi" +7425,"Lewa Airport","Lewa","Kenya","",\N,0.1955,37.4699,2000,3,"U","Africa/Nairobi" +7426,"Mulika Lodge Airport","Meru National Park","Kenya","","HKMK",0.230278,38.170556,2000,3,"U","Africa/Nairobi" +7427,"Rumbek Airport","Rumbek","Sudan","RBX","HSMK",6.825,29.669,2000,3,"U","Africa/Juba" +7428,"Yei Airport","Yei","Sudan","","HSYE",4.083,30.65,1000,3,"U","Africa/Juba" +7429,"Cape Palmas Airport","Greenville","Liberia","CPA","GLCP",4.37902,-7.69695,500,0,"U","Africa/Monrovia" +7430,"Ambatomainty Airport","Ambatomainty","Madagascar","AMY",\N,-17.1667,47.1833,500,3,"U","Indian/Antananarivo" +7431,"Kyoto","Kyoto","Japan","UKY",\N,35.016667,135.766667,262,9,"N","Asia/Tokyo" +7432,"Ecuvillens Airport","Ecuvillens","Switzerland","","LSGE",46.754997,7.076111,2293,1,"E","Europe/Zurich" +7433,"Andermatt","Andermatt","Switzerland","",\N,46.63889,8.58889,4747,1,"E","Europe/Zurich" +7434,"Wohlen Airfield","Wohlen bei Bern","Switzerland","",\N,46.96694,7.35806,1795,1,"E","Europe/Zurich" +7435,"Bazaruto Island Airport","Bazaruto Island","Mozambique","BZB",\N,-21.542778,35.473056,500,2,"U","Africa/Maputo" +7436,"Benguera Island Airport","Benguera Island","Mozambique","BCW",\N,-21.849167,35.436944,50,2,"U","Africa/Maputo" +7437,"Inhaca Airport","Inhaca","Mozambique","","FQIA",-26,32.916667,500,2,"U","Africa/Maputo" +7438,"Indigo Bay Lodge Airport","Indigo Bay Lodge","Mozambique","IBL",\N,-21.707222,35.452222,50,2,"U","Africa/Maputo" +7439,"Gombe Lawanti International Airport","Gombe","Nigeria","",\N,9.2575,12.430278,500,1,"U","Africa/Lagos" +7440,"Akwa Ibom International Airport","Uyo","Nigeria","",\N,5.05,7.933333,500,1,"U","Africa/Lagos" +7441,"Katsina Airport","Katsina","Nigeria","",\N,13.007778,7.660278,50,1,"U","Africa/Lagos" +7442,"Ouro Sogui Airport","Matam","Senegal","MAX","GOSM",15.593611,-13.322778,85,0,"U","Africa/Dakar" +7443,"Bird Island Airport","Bird Island","Seychelles","BDI","FSSB",-3.721389,55.208611,10,4,"U",\N +7444,"K50 Airport","Mogadishu","Somalia","",\N,1.999167,44.974167,500,3,"U","Africa/Mogadishu" +7445,"El Daein","El Daein","Sudan","",\N,14,32.316667,1000,3,"U","Africa/Khartoum" +7446,"Wadi Halfa Airport","Wadi Halfa","Sudan","WHF","HSSW",21.800278,31.516389,1500,3,"U","Africa/Khartoum" +7447,"Enfidha - Zine El Abidine Ben Ali International Airport","Enfidha","Tunisia","NBE","DTNZ",36.075833,10.438611,500,1,"U","Africa/Tunis" +7448,"Kidepo Airport","Kidepo","Uganda","","HUKD",3.719167,33.754167,3904,3,"U","Africa/Kampala" +7449,"Kitgum Airport","Kitgum","Uganda","","HUKT",3.278611,32.89,2493,3,"U","Africa/Kampala" +7450,"Pakuba Airport","Pakuba","Uganda","PAF","HUPA",2.3275,31.5,2297,3,"U","Africa/Kampala" +7451,"Svea Airport","Sveagruva","Svalbard","","ENSA",77.9,16.683333,29,1,"U","Arctic/Longyearbyen" +7452,"Ny-Alesund Airport","Ny-Alesund","Svalbard","","ENAS",78.9275,11.874167,50,1,"U","Arctic/Longyearbyen" +7453,"Hatay Airport","Hatay","Turkey","HTY","LTDA",36.362778,36.282222,25,2,"U","Europe/Istanbul" +7454,"Kihnu Airfield","Kihnu","Estonia","","EEKU",58.148,24.003,50,2,"U","Europe/Tallinn" +7455,"Ruhnu Airfield","Ruhnu","Estonia","","EERU",57.784,23.266,50,2,"U","Europe/Tallinn" +7456,"Raivavae Airport","Raivavae","French Polynesia","RVV","NTAV",-23.87,-147.67,25,-10,"N","Pacific/Tahiti" +7457,"Foshan","Foshan","China","FUO",\N,23.133333,113.28333,8,8,"N","Asia/Chongqing" +7458,"Huizhou","Huizhou","China","HUZ",\N,23.083332,114.36667,23,8,"N","Asia/Chongqing" +7459,"Lleida-Alguaire Airport","Lleida","Spain","ILD","LEDA",41.727778,0.535833,1148,1,"E","Europe/Madrid" +7460,"Aeropuerto Capitan Fuentes Martinez","Porvenir","Chile","WPR",\N,-53.2537,-70.319228,104,-4,"U","America/Santiago" +7461,"Ouessant Airport","Ouessant","France","","LFEC",48.458056,-5.095556,25,1,"U","Europe/Paris" +7462,"Central Railway Station","Montreal","Canada","YMY",\N,45.499722,-73.566111,0,-5,"A","America/Toronto" +7463,"Union Station","Toronto","Canada","YBZ",\N,43.645278,-79.380556,0,-5,"A","America/Toronto" +7464,"Bildudalur Airport","Bildudalur","Iceland","BIU","BIBD",65.641389,-23.546111,26,0,"N","Atlantic/Reykjavik" +7465,"Gjogur Airport","Gjogur","Iceland","GJR","BIGJ",65.995278,-21.326944,98,0,"N","Atlantic/Reykjavik" +7466,"Saudarkrokur","Saudarkrokur","Iceland","SAK","BIKR",65.731667,-19.572778,8,0,"N","Atlantic/Reykjavik" +7467,"Selfoss Airport","Selfoss","Iceland","","BISF",63.929167,-21.037778,45,0,"N","Atlantic/Reykjavik" +7468,"Inishmaan Aerodrome","Inishmaan","Ireland","IIA","EIMN",53.091944,-9.57,13,0,"U","Europe/Dublin" +7469,"Taldykorgan Airport","Taldykorgan","Kazakhstan","TDK","UAAT",45.016667,78.366667,1969,6,"U","Asia/Qyzylorda" +7470,"Olgii Airport","Olgii","Mongolia","ULG","ZMUL",48.991667,89.919722,5610,7,"U","Asia/Hovd" +7471,"Lille","Lille","France","XDB",\N,50.563333,3.08805,1,1,"U","Europe/Paris" +7472,"Qurghonteppa International Airport","Kurgan Tyube","Tajikistan","","UTDT",37.862222,68.862778,5000,5,"U","Asia/Dushanbe" +7473,"Vologda Airport","Vologda","Russia","VGD","ULWW",59.281667,39.946667,387,4,"N","Europe/Moscow" +7474,"Severo-Evensk Airport","Evensk","Russia","","UHMW",61.921667,159.23,0,12,"N","Asia/Magadan" +7475,"Olenyok Airport","Olenyok","Russia","","UERO",68.514722,112.48,847,10,"N","Asia/Yakutsk" +7476,"Saskylakh Airport","Saskylakh","Russia","","UERS",71.927778,114.08,500,10,"N","Asia/Yakutsk" +7477,"Lensk Airport","Lensk","Russia","",\N,60.719444,114.931944,700,10,"N","Asia/Yakutsk" +7478,"Burevestnik Airport","Iturup Island","Russia","BVV",\N,44.92,147.621667,79,11,"N","Asia/Vladivostok" +7479,"Okha Airport","Okha","Russia","OHH",\N,53.583333,142.933333,100,11,"N","Asia/Vladivostok" +7480,"Leshukonskoye Airport","Arkhangelsk","Russia","LDG","ULAL",64.895833,45.722778,220,4,"N","Europe/Moscow" +7481,"Nizhneangarsk Airport","Nizhneangarsk","Russia","","UIUN",55.801667,109.586667,1545,9,"N","Asia/Irkutsk" +7482,"Taksimo Airport","Taksimo","Russia","",\N,56.361667,114.93,1500,9,"N","Asia/Irkutsk" +7483,"Vanavara Airport","Vanavara","Russia","","UNIW",60.355,102.31,892,8,"N","Asia/Krasnoyarsk" +7484,"Aykhal Airport","Aykhal","Russia","","UERA",65.959167,111.546389,1499,10,"N","Asia/Yakutsk" +7485,"Uktus Airport","Yekaterinburg","Russia","","USSK",56.701667,60.79,643,6,"N","Asia/Yekaterinburg" +7486,"Baykit Airport","Baykit","Russia","","UNIB",61.676667,96.355,853,8,"N","Asia/Krasnoyarsk" +7487,"Biysk Airport","Biysk","Russia","","UNBI",52.466667,85.35,620,7,"N","Asia/Omsk" +7488,"Huesca-Pirineos Airport","Huesca","Spain","HSK","LEHC",42.080833,-0.323333,1768,1,"U","Europe/Madrid" +7489,"Ciudad Real Central Airport","Ciudad Real","Spain","CQM","LERL",38.856389,-3.97,636,1,"U","Europe/Madrid" +7490,"Al Najaf International Airport","Najaf","Iraq","NJF","ORNI",31.991667,44.404167,500,3,"U","Asia/Baghdad" +7491,"Hilversum Railway Station","Hilversum","Netherlands","QYI",\N,52.226389,5.181667,3,1,"E","Europe/Amsterdam" +7492,"Colonsay Airport","Colonsay","United Kingdom","CSA","EGEY",56.0575,-6.243056,44,0,"U","Europe/London" +7493,"Coll Airport","Coll","United Kingdom","COL",\N,56.633333,-6.557222,50,0,"U","Europe/London" +7494,"Rock Hill York Co Bryant Airport","Rock Hill","United States","RKH","KUZA",34.9878,-81.0572,667,-5,"A","America/New_York" +7495,"Allegheny County Airport","Pittsburgh","United States","AGC","KAGC",40.3544,-79.9302,1252,-5,"A","America/New_York" +7496,"Cecil Field","Jacksonville","United States","NZC","KVQQ",30.2187,-81.8767,81,-5,"A","America/New_York" +7497,"Fulton County Airport Brown Field","Atlanta","United States","FTY","KFTY",33.7791,-84.5214,841,-5,"A","America/New_York" +7498,"Tresco Heliport","Tresco","United Kingdom","TSO","EGHT",49.945556,-6.331389,20,0,"U","Europe/London" +7499,"Tarin Kowt Airport","Tarin Kowt","Afghanistan","TII","OATN",32.605278,65.864167,3500,4.5,"U","Asia/Kabul" +7500,"Zaranj Airport","Zaranj","Afghanistan","ZAJ","OAZJ",30.969167,61.866944,1581,4.5,"U","Asia/Kabul" +7501,"Chaghcharan Airport","Chaghcharan","Afghanistan","CCN","OACC",34.526667,65.271667,7383,4.5,"U","Asia/Kabul" +7502,"Four Corners","Four Corners","United States","",\N,36.998976,-109.045172,1000,-7,"U","America/Denver" +7503,"Fuyang Airport","Fuyang","China","FUG","ZSFY",32.9,115.816667,500,8,"U","Asia/Chongqing" +7504,"Longyan Airport","Longyan","China","LCX",\N,25.674167,116.746389,300,8,"U","Asia/Chongqing" +7505,"Baoshan Airport","Baoshan","China","BSD","ZPBS",25.053333,99.168333,500,8,"U","Asia/Chongqing" +7506,"Xingyi Airport","Xingyi","China","ACX",\N,25.0882,104.9587,500,8,"U","Asia/Chongqing" +7507,"Macau Ferry Pier","Macau","Macau","XZM",\N,22.197075,113.558911,0,8,"U","Asia/Macau" +7508,"Liping Airport","Liping","China","HZH",\N,26.206,109.039,500,8,"U","Asia/Chongqing" +7509,"Ocean Isle Beach Airport","Ocean Isle Beach","United States","60J",\N,33.9085056,-78.4366722,32,-5,"U","America/New_York" +7510,"Stepanakert","Stepanakert","Azerbaijan","","UB13",39.901439,46.787031,2001,4,"E","Asia/Baku" +7511,"Ohio State University Airport","Columbus","United States","OSU","KOSU",40.0798,-83.073,905,-5,"U","America/New_York" +7922,"Rio Sidra","Rio Sidra","Panama","RSI",\N,8.966667,-80.333336,10,-5,"U","America/Panama" +7513,"Addison","Addison","United States","ADS","KADS",32.9685594,-96.8364478,644,-6,"A","America/Chicago" +7514,"Destin","Destin","United States","DTS","KDTS",30.4000611,-86.4714772,23,-6,"A","America/Chicago" +7515,"Fort Jefferson","Fort Jefferson - Dry Tortugas","United States","RBN",\N,24.61667,-82.86667,0,-5,"A","America/New_York" +7516,"Chernobayevka Airport","Kherson","Ukraine","KHE","UKOH",46.6758,32.5064,148,2,"E","Europe/Kiev" +7517,"Ryans Creek Aerodrome","Stewart Island","New Zealand","SZS","NZRC",-46.899693,168.101592,100,12,"U","Pacific/Auckland" +7518,"Assumption Island","Assumption Island","Seychelles","","FSAS",-9.7422,46.5067,10,4,"U","Indian/Mahe" +7519,"Zhijiang Airport","Zhijiang","China","HJJ",\N,27.441389,109.699722,1000,8,"U","Asia/Chongqing" +7520,"Aldabra","Assumption Island","Seychelles","",\N,-9.74,46.51,100,4,"U","Indian/Mahe" +7521,"Yarmouth Airport","Yarmouth","Canada","YQI","CYQI",43.8269,-66.0881,141,-4,"A","America/Halifax" +7522,"Kinston Regional Jetport","Kinston","United States","ISO","KISO",35.331389,-77.608889,94,-5,"A","America/New_York" +7523,"First Flight Airport","Kill Devil Hills","United States","FFA","KFFA",36.02,-75.67,13,-5,"A","America/New_York" +7524,"Pebble Island Airstrip","Pebble Island Settlement","Falkland Islands","",\N,-51.31,-59.61,8,-3,"S","Atlantic/Stanley" +7525,"Sea Lion Island Landing Strip","Sea Lion Island","Falkland Islands","",\N,-52.4282,-59.0777,0,-3,"S","Atlantic/Stanley" +7526,"Lively Settlement Airstrip","Lively Island","Falkland Islands","",\N,-52.03,-58.47,0,-3,"S","Atlantic/Stanley" +7527,"Lincang Airport","Lincang","China","LNJ","ZPLC",23.738333,100.025,1500,8,"U","Asia/Chongqing" +7528,"Wenshan Airport","Wenshan","China","WNH",\N,23.375833,104.243056,1000,8,"U","Asia/Chongqing" +7529,"Ponta Pelada Airport","Manaus","Brazil","PLL",\N,-3.14604,-59.9863,267,-4,"S","America/Boa_Vista" +7530,"Sao Gabriel da Cachoeira Airport","Sao Gabriel da Cachoeira","Brazil","SJL",\N,-0.148056,-66.9858,251,-4,"S","America/Boa_Vista" +7531,"Maturaca","Maturaca","Brazil","","SWMK",0.628269,-66.115128,354,-4,"S","America/Boa_Vista" +7532,"Carajas Airport","Parauapebas","Brazil","CKS","SBCJ",-6.11781,-50.0035,2064,-4,"S","America/Boa_Vista" +7533,"Centro de Lancamento de Alcantara","Alcantara","Brazil","","SNCW",-2.373,-44.396389,148,-3,"S","America/Fortaleza" +7534,"Cachimbo","Itaituba","Brazil","ITB",\N,-4.2446,-56.00384,0,-4,"S","America/Boa_Vista" +7535,"Latur Airport","Latur","India","LTU",\N,18.411944,76.465,1584,5.5,"U","Asia/Calcutta" +7536,"Matak Airport","Anambas Islands","Indonesia","MWK","WIOM",3.348119,106.25805,10,7,"N",\N +7537,"Mainz Finthen","Mainz","Germany","QFZ",\N,0,0,300,1,"E",\N +7538,"Wuerzburg","Wuerzburg","Germany","","EDFW",51.93749,8.38257,400,1,"E","Europe/Berlin" +7539,"Mainz","Mainz","Germany","QMZ",\N,50.00829,8.27356,360,1,"E","Europe/Berlin" +7540,"Berlin Gatow","Berlin","Germany","GWW",\N,52.475,13.139,160,1,"E","Europe/Berlin" +7541,"Rheine Bentlage","Rheine","Germany","ZPQ",\N,52.27656,7.43843,120,1,"E","Europe/Berlin" +7542,"Sao Jacinto","Aveiro","Portugal","","LPAV",40.72222,-8.816667,26,0,"E","Europe/Lisbon" +7543,"Tana Toraja Airport","Toraja","Indonesia","TTR",\N,-3.416667,119.916664,0,8,"N","Asia/Makassar" +7544,"Hopsten Air Base","Hopsten","Germany","","ETNP",52.3387,7.54133,423,1,"E","Europe/Berlin" +7545,"Jose Aponte De La Torre Airport","Ceiba","Puerto Rico","","TJNR",18.2453,-65.6434,38,-4,"S","America/Puerto_Rico" +7546,"Persian Gulf Airport","Khalije Fars","Iran","PGU","OIBP",27.379444,52.7375,27,3.5,"U","Asia/Tehran" +7547,"Yasuj Airport","Yasuj","Iran","YES","OISY",30.700556,51.545,5939,3.5,"U","Asia/Tehran" +7548,"Mosul International Airport","Mosul","Iraq","OSB","ORBM",36.305833,43.1475,719,3,"U","Asia/Baghdad" +7549,"Tajima Airport","Toyooka","Japan","TJH","RJBT",35.512778,134.786944,578,9,"U","Asia/Tokyo" +7550,"Amakusa Airfield","Amakusa","Japan","AXJ","RJDA",32.482222,130.158889,340,9,"U","Asia/Tokyo" +7551,"Kikai Airport","Kikai","Japan","KKX","RJKI",28.321389,129.928056,15,9,"U","Asia/Tokyo" +7552,"Aguni Airport","Aguni","Japan","AGJ","RORA",26.592778,127.240278,38,9,"U","Asia/Tokyo" +7553,"Chongjin Airport","Chongjin","North Korea","",\N,41.801389,129.855,500,9,"U","Asia/Pyongyang" +7554,"Haeju Airport","Haeju","North Korea","HAE",\N,38.00543,125.77863,131,9,"U","Asia/Pyongyang" +7555,"Layang Layang Airport","Layang Layang Atoll","Malaysia","LAC",\N,7.372222,113.841667,5,8,"N",\N +7556,"Donoi Airport","Uliastai","Mongolia","","ZMDN",47.712778,96.524167,5724,8,"U","Asia/Ulaanbaatar" +7557,"Bulgan Airport","Bulgan","Mongolia","UGA","ZMBN",48.854167,103.484167,3873,8,"U","Asia/Ulaanbaatar" +7558,"Ulaangom Airport","Ulaangom","Mongolia","ULO","ZMUG",49.973333,92.079722,3500,7,"U","Asia/Hovd" +7559,"Borongan Airport","Borongan","Philippines","BPR","RPVW",11.674167,125.478611,7,8,"N","Asia/Manila" +7560,"Lubang Community Airport","Lubang","Philippines","LBX","RPLU",13.855833,121.105833,25,8,"N","Asia/Manila" +7561,"Bentota Airport","Bentota","Sri Lanka","BJT",\N,6.416667,79.983333,100,5.5,"U","Asia/Colombo" +7562,"Dickwella Airport","Dickwella","Sri Lanka","DIW",\N,5.966667,80.683333,100,5.5,"U","Asia/Colombo" +7563,"Kulob Airport","Kulyab","Tajikistan","TJU","UTDK",37.981667,69.799444,2293,5,"U","Asia/Dushanbe" +7564,"Cimei Airport","Cimei","Taiwan","CMJ","RCCM",23.266667,119.666667,63,8,"U","Asia/Taipei" +7565,"Dasoguz Airport","Dasoguz","Turkmenistan","TAZ","UTAT",41.764722,59.833056,500,5,"U","Asia/Ashgabat" +7566,"Barrow Island Airport","Barrow Island","Australia","BWB","YBWX",-20.798,115.406,25,8,"U","Australia/Perth" +7567,"Morawa Airport","Morawa","Australia","MWB",\N,-29.211,116.009,899,8,"U","Australia/Perth" +7568,"Exmouth Airport","Exmouth","Australia","EXM",\N,-21.933,114.128,50,8,"U","Australia/Perth" +7569,"Derby Airport","Derby","Australia","DRB","YDBY",-17.39,123.68,26,8,"U","Australia/Perth" +7570,"Walgett Airport","Walgett","Australia","WGE","YWLG",-30.0318,148.1222,439,10,"U","Australia/Sydney" +7571,"Bathurst Island Airport","Bathurst Island","Australia","BRT","YBTI",-11.769167,130.619722,67,9.5,"U","Australia/Darwin" +7572,"Dunk Island Airport","Dunk Island","Australia","DKI","YDKI",-17.939722,146.141944,38,10,"U","Australia/Brisbane" +7573,"Lizard Island Airport","Lizard Island","Australia","LZR","YLZI",-14.673056,145.454444,40,10,"O","Australia/Brisbane" +7574,"Hamilton Airport","Hamilton","Australia","HLT","YHML",-37.648889,142.065278,803,10,"O","Australia/Hobart" +7575,"Halls Creek Airport","Halls Creek","Australia","HCQ","YHLC",-18.233889,127.669722,1346,8,"U","Australia/Perth" +7576,"Fitzroy Crossing Airport","Fitzroy Crossing","Australia","FIZ","YFTZ",-18.178,125.591,374,8,"U","Australia/Perth" +7577,"Ravensthorpe Airport","Ravensthorpe","Australia","RVT","YNRV",-33.797222,120.208056,209,8,"U","Australia/Perth" +7578,"Wilkins Runway","Budd Coast","Antarctica","","YWKS",-66.689444,111.485833,2395,12,"U","Antarctica/South_Pole" +7579,"Provo Municipal Airport","Provo","United States","PVU","KPVU",40.21805555,-111.72222222,4497,-7,"A","America/Denver" +7580,"Steamboat Springs Airport-Bob Adams Field","Steamboat Springs","United States","SBS","KSBS",40.51625,-106.8663056,6882,-7,"A","America/Denver" +7581,"Delta Municipal Airport","Delta","United States","DTA","KDTA",39.3806386,-112.5077147,4759,-7,"A","America/Denver" +7582,"Richfield Minicipal Airport","Richfield","United States","RIF","KRIF",38.7364361,-112.0989444,5301,-7,"A","America/Denver" +7583,"Carbon County Regional-Buck Davis Field","Price","United States","PUC","KPUC",39.609722,-110.75278,5957,-7,"A","America/Denver" +7584,"Los Alamos Airport","Los Alamos","United States","LAM","KLAM",35.8798019,-106.2694153,7171,-7,"A","America/Denver" +7585,"Borrego Valley Airport","Borrego Springs","United States","BXS","KBXS",33.2590278,-116.3209722,520,-8,"A","America/Los_Angeles" +7586,"Lake Havasu City Airport","Lake Havasu City","United States","HII","KHII",34.5711111,-114.3582778,783,-7,"N","America/Phoenix" +7587,"Winslow-Lindbergh Regional Airport","Winslow","United States","INW","KINW",35.0219167,-110.7225278,4941,-7,"N","America/Phoenix" +7588,"Douglas Municipal Airport","Douglas","United States","DGL","KDGL",31.3426028,-109.5064544,4173,-7,"N","America/Phoenix" +7589,"Marakei Airport","Marakei","Kiribati","MZK","NGMK",2.050278,173.266667,10,12,"U","Pacific/Tarawa" +7590,"Abemama Atoll Airport","Abemama","Kiribati","AEA","NGTB",0.490833,173.828611,8,12,"U","Pacific/Tarawa" +7591,"Aranuka Airport","Buariki","Kiribati","AAK","NGUK",0.185278,173.636389,6,10,"U",\N +7592,"Kuria Airport","Kuria","Kiribati","KUC","NGKT",0.228611,173.410556,10,10,"U",\N +7593,"Arorae Island Airport","Arorae","Kiribati","AIS","NGTR",-2.633333,179.816667,6,10,"U",\N +7594,"Tamana Airport","Tamana","Kiribati","TMN","NGTM",-2.5,175.983333,10,12,"U","Pacific/Tarawa" +7595,"Beru Island Airport","Beru Island","Kiribati","BEZ","NGBR",-1.254722,176.007222,10,10,"U",\N +7596,"Nikunau Airport","Nikunau","Kiribati","NIG","NGNU",-1.35,176.45,10,12,"U","Pacific/Tarawa" +7597,"Butaritari Atoll Airport","Butaritari","Kiribati","BBG","NGTU",3.086521,172.811465,5,12,"U","Pacific/Tarawa" +7598,"Makin Airport","Makin","Kiribati","MTK","NGMN",3.383333,173,10,12,"U","Pacific/Tarawa" +7599,"Maiana Airport","Maiana","Kiribati","MNK","NGMA",0.933333,173,10,10,"U",\N +7600,"Nonouti Airport","Nonouti","Kiribati","NON","NGTO",-0.616667,174.366667,10,10,"U",\N +7601,"Tabiteuea South Airport","Tabiteuea","Kiribati","TSU","NGTS",-1.35,174.8,10,10,"U",\N +7602,"Bosset Airport","Bosset","Papua New Guinea","BOT",\N,-7.240833,141.092333,60,10,"U","Pacific/Port_Moresby" +7603,"Ine Airport","Ine","Marshall Islands","IMI",\N,7.016667,171.483333,4,12,"U","Pacific/Majuro" +7604,"Tinak Airport","Tinak","Marshall Islands","TIC",\N,7.133333,171.916667,4,12,"U","Pacific/Majuro" +7605,"Ebon Airport","Ebon","Marshall Islands","",\N,4.598889,168.753056,5,12,"U","Pacific/Majuro" +7606,"Elenak Airport","Elenak","Marshall Islands","EAL",\N,9.083333,167.333333,10,12,"U","Pacific/Majuro" +7607,"Lae Airport","Lae","Marshall Islands","LML",\N,8.921667,166.265556,10,12,"U","Pacific/Majuro" +7608,"Airok Airport","Airok","Marshall Islands","AIC",\N,7.1,171.233333,10,12,"U","Pacific/Majuro" +7609,"Enejit Airport","Enejit","Marshall Islands","EJT",\N,6.040278,171.984444,10,12,"U","Pacific/Majuro" +7610,"Whitianga Airport","Whitianga","New Zealand","WTZ","NZWT",-36.835833,175.700278,500,12,"U","Pacific/Auckland" +7611,"Takaka Aerodrome","Takaka","New Zealand","KTF","NZTK",-40.85,172.8,500,12,"U","Pacific/Auckland" +7612,"Peleliu Airfield","Peleliu","Palau","C23",\N,6.998333,134.232778,9,9,"U","Pacific/Palau" +7613,"Angaur Airstrip","Angaur","Palau","",\N,6.906389,134.145,20,9,"U","Pacific/Palau" +7614,"Asau Airport","Savai\\'i","Samoa","AAU",\N,-13.505,-172.627778,6,13,"U","Pacific/Apia" +7615,"Afutara Airport","Afutara","Solomon Islands","AFT","AGAF",-9.183056,160.949722,5,11,"U","Pacific/Guadalcanal" +7616,"Ulawa Airport","Ulawa","Solomon Islands","RNA","AGAR",-9.854722,161.979167,5,11,"U","Pacific/Guadalcanal" +7617,"Choiseul Bay Airport","Choiseul Bay","Solomon Islands","CHY","AGGC",-6.711944,156.396111,5,11,"U","Pacific/Guadalcanal" +7618,"Santa Ana Airport","Santa Ana","Solomon Islands","NNB","AGGT",-10.848056,162.454167,6,11,"U","Pacific/Guadalcanal" +7619,"Yandina Airport","Yandina","Solomon Islands","XYA","AGGY",-9.086111,159.218889,6,11,"U","Pacific/Guadalcanal" +7620,"Batuna Airport","Batuna","Solomon Islands","BPF","AGBT",-8.63,158,5,11,"U","Pacific/Guadalcanal" +7621,"Bartow Municipal Airport","Bartow","United States","BOW","KBOW",27.9434,-81.7834,125,-5,"U","America/New_York" +7622,"Sokerkino","Kostroma","Russia","KMW","UUBD",57.7961,41.0204,446,4,"N","Europe/Moscow" +7623,"Yuryevets","Yuryevets","Russia","",\N,57.316667,43.1,0,4,"N","Europe/Moscow" +7624,"Ozerny","Ozerny","Russia","",\N,52.752919,111.849,0,9,"N","Asia/Irkutsk" +7625,"Enkheluk","Enkheluk","Russia","",\N,52.500967,107.018852,0,9,"N","Asia/Irkutsk" +7626,"Khakusy","Khakusy","Russia","",\N,55.365,109.812,0,9,"N","Asia/Irkutsk" +7627,"Fitiuta Airport","Fiti\\'uta","American Samoa","FTI","NSFQ",-14.216111,-169.423611,110,-11,"U","Pacific/Pago_Pago" +7628,"Ofu Airport","Ofu","American Samoa","OFU",\N,-14.184444,-169.67,9,-11,"U","Pacific/Pago_Pago" +7629,"Livermore Municipal","Livermore","United States","LVK","KLVK",37.41362,-121.49133,400,-8,"A","America/Los_Angeles" +7630,"MariposaYosemite","Mariposa","United States","MPI","KMPI",37.3039,-120.0222,2454,-8,"A","America/Los_Angeles" +8419,"Jungseok","Seogwipo","South Korea","","RKPD",33.399561,126.711567,1171,9,"U","Asia/Seoul" +7633,"Grootfontein","Grootfontein","Namibia","GFY","FYGF",-19.602167,18.122667,4636,1,"S","Africa/Windhoek" +7634,"Rundu","Rundu","Namibia","NDU","FYRU",-17.956461,19.719439,3627,1,"S","Africa/Windhoek" +7635,"Beppu Airport","Beppu","Japan","BPU",\N,33.3,131.5333,197,9,"N","Asia/Tokyo" +7636,"Heron Island","Heron Island","Australia","HRN",\N,-23.441667,151.911389,0,10,"O","Australia/Brisbane" +7637,"Lady Elliot Island","Lady Elliot Island","Australia","LYT",\N,-24.113333,152.715278,0,10,"O","Australia/Brisbane" +7638,"Orpheus Island","Orpheus Island","Australia","ORS",\N,-18.634,146.5,0,10,"O","Australia/Brisbane" +7639,"Paddington Station","London","United Kingdom","QQP",\N,51.515833,-0.176111,0,0,"E","Europe/London" +7640,"Liskeard Station","Liskeard","United States","",\N,50.44708,-4.46753,0,0,"E","Europe/London" +7641,"Port du Bloscon","Roscoff","France","",\N,48.721816,-3.96395,0,1,"E","Europe/Paris" +7642,"Tasiilaq","Angmagssalik","Greenland","AGM","BGAM",65.612222,-37.618333,24,-3,"U","America/Godthab" +7643,"Neets Bay","Ketchikan","United States","",\N,55.778889,-131.601389,0,-9,"U","America/Anchorage" +7644,"Fraser Railroad Station","Fraser BC","Canada","",\N,59.715517,-135.046692,2000,-8,"U","America/Vancouver" +7645,"Carcross","Carcross YT","Canada","",\N,60.17463,-134.698088,2100,-8,"U","America/Vancouver" +7646,"Jacqueline Cochran Regional Airport","Palm Springs","United States","TRM","KTRM",33.626666,-116.1596667,0,-8,"A","America/Los_Angeles" +7647,"Santa Monica Municipal Airport","Santa Monica","United States","SMO","KSMO",34.0158333,-118.4513056,177,-8,"A","America/Los_Angeles" +7648,"Bermuda Dunes Airport","Palm Springs","United States","UDD","KUDD",33.7484375,-116.2748133,73,-8,"A","America/Los_Angeles" +7649,"Scottsdale Airport","Scottsdale","United States","ZSY","KSDL",33.6228889,-111.9105278,1519,-7,"A","America/Phoenix" +7650,"Olympia Regional Airpor","Olympia","United States","OLM","KOLM",46.9694044,-122.9025447,209,-8,"A","America/Los_Angeles" +7651,"Yolo County Airport","Davis-Woodland-Winters","United States","DWA","KDWA",38.5793889,-121.8569444,100,-8,"A","America/Los_Angeles" +7652,"Garfield County Regional Airport","Rifle","United States","RIL","KRIL",39.5263056,-107.7269444,5548,-7,"A","America/Denver" +7653,"Shively Field Airport","SARATOGA","United States","SAA","KSAA",41.4448594,-106.8235264,7012,-7,"A","America/Denver" +7654,"Dekalb-Peachtree Airport","Atlanta","United States","PDK","KPDK",33.8756111,-84.3019722,1003,-5,"A","America/New_York" +7655,"Monroe County Airport","Bloomington","United States","BMG","KBMG",39.1460208,-86.6166805,846,-5,"A","America/New_York" +7656,"Witham Field Airport","Stuart","United States","SUA","KSUA",27.1816996,-80.221294,16,-5,"A","America/New_York" +7657,"Morristown Municipal Airport","Morristown","United States","MMU","KMMU",40.79935,-74.4148747,187,-5,"A","America/New_York" +7658,"Napa County Airport","Napa","United States","APC","KAPC",38.2131944,-122.2806944,35,-8,"A","America/Los_Angeles" +7659,"Brown Field Municipal Airport","San Diego","United States","SDM","KSDM",32.5722722,-116.9801611,526,-8,"A","America/Los_Angeles" +7660,"Wangen-Lachen","Wangen-Lachen","Switzerland","","LSPV",47.204805,8.866834,1335,1,"U","Europe/Zurich" +7661,"Pahokee Airport","Pahokee","United States","PHK",\N,26.789,-80.692,18,-5,"A","America/New_York" +7662,"Venice Municipal","Venice","United States","","KVNC",27.42439,-82.262364,18,-5,"A","America/New_York" +7663,"Pahokee","Pahokee","United States","","KPHK",26.471041,-80.413591,15,-5,"A","America/New_York" +7664,"Kineshma","Kineshma","Russia","KIE",\N,57.45000001,42.15000001,420,4,"N","Europe/Moscow" +7665,"Nezhitino","Nezhitino","Russia","NEZ",\N,57.479444454444,43.29750001,400,4,"N","Europe/Moscow" +7666,"Glasgow Buchanan Bus Station","Glasgow","United Kingdom","",\N,55.8652,-4.25033,0,0,"E","Europe/London" +7667,"London Victoria Bus Station","London","United Kingdom","",\N,51.494999,-0.144643,0,0,"E","Europe/London" +7668,"Machu Pichu Airport","Machu Pichu","Peru","MFT",\N,-13.1167,-72.5667,9500,-5,"S","America/Lima" +7669,"Panama City-NW Florida Bea.","Panama City","United States","ECP","KECP",30.3417,-85.7973,69,-6,"A","America/Chicago" +7670,"San Bernardino International Airport","San Bernardino","United States","SBD","KSBD",34.0953521,-117.2348722,1159,-8,"A","America/Los_Angeles" +7671,"Valenca Airport","Valenca","Brazil","VAL","SNVB",-13.2965,-38.9924,21,-3,"S","America/Fortaleza" +7672,"Dix Sept Rosado Airport","Mossoro","Brazil","MVF","SBMW",-5.20192,-37.3643,76,-3,"S","America/Fortaleza" +7673,"Caruaru Airport","Caruaru","Brazil","CAU","SNRU",-8.28239,-36.0135,1891,-3,"S","America/Fortaleza" +7674,"Wake Island Afld","Wake island","Wake Island","AWK","PWAK",19.282067,166.636444,14,12,"U","Pacific/Wake" +7675,"Aeroclube de Nova Iguacu","Nova Iguacu","Brazil","QNV","SDNY",-22.7453,-43.4603,164,-3,"S","America/Sao_Paulo" +7676,"Gare du Nord","Paris","France","XPG",\N,48.880931,2.355323,423,1,"E","Europe/Paris" +7677,"Gare Montparnasse","Paris","France","XGB",\N,48.84,2.318611,423,1,"E","Europe/Paris" +7678,"Saint-Pierre-des-Corps","Tours","France","XSH",\N,47.385626,0.723347,159,1,"E","Europe/Paris" +7679,"Darsena Norte","Buenos Aires","Argentina","",\N,-34.5978,-58.367841,46,-3,"N","America/Cordoba" +7680,"Casa Central","Montevideo","Uruguay","",\N,-34.90278,-56.213781,105,-3,"S","America/Montevideo" +7681,"Puerto Franco","Colonia del Sacramento","Uruguay","",\N,-34.4741,-57.843427,89,-3,"S","America/Montevideo" +7682,"Tres Cruces","Montevideo","Uruguay","",\N,-34.893891,-56.166589,141,-3,"S","America/Montevideo" +7683,"San Carlos Airport","San Carlos","United States","SQL","KSQL",37.511944,-122.249444,5,-8,"A","America/Los_Angeles" +7684,"Courtelary ","Courtelary ","Switzerland","","LSZJ",47.18611,7.15833,2250,1,"E","Europe/Zurich" +7685,"Koszalin - Zegrze Pomorskie Airport","Koszalin","Poland","OSZ","EPKO",54.041,16.266,111,1,"E","Europe/Warsaw" +7686,"Ntswi Island","Okavango Delta","Botswana","","FBCO",-19.531109,23.09092,3000,2,"U","Africa/Gaborone" +7687,"Dujiangyan","Dujiangyan","China","",\N,30.998584,103.619673,2385,8,"N","Asia/Chongqing" +7688,"Maiwa","Maiwa","China","",\N,33.058044,102.908775,11500,8,"N","Asia/Chongqing" +7689,"Lelystad Airport","Lelystad","Netherlands","LEY",\N,52.4603,5.52722,12,1,"E","Europe/Amsterdam" +7690,"Rocky Mount Wilson Regional Airport","Rocky Mount","United States","RWI","KRWI",35.8563,-77.8919,159,-5,"A","America/New_York" +7691,"Whittier Airport","Whittier","United States","","PAWR",60.7772125,-148.7215775,30,-9,"U","America/Anchorage" +7692,"Soldotna Airport","Soldotna","United States","SXQ",\N,60.4749583,-151.0382389,113,-9,"U","America/Anchorage" +7693,"Gillespie","El Cajon","United States","SEE","KSEE",32.8262222,-116.9724444,388,-8,"A","America/Los_Angeles" +7694,"San Clemente Island Nalf","San Clemente Island","United States","","KNUC",33.022744,-118.588489,184,-8,"A","America/Los_Angeles" +7695,"Cotopaxi International Airport","Latacunga","Ecuador","LTX",\N,-0.5425,-78.3657,9205,-5,"S","America/Guayaquil" +7696,"London St Pancras","London","United Kingdom","STP",\N,51.53,-0.125,0,0,"E","Europe/London" +7697,"Amsterdam Centraal","Amsterdam","Netherlands","ZYA",\N,52.378333,4.9,0,1,"E","Europe/Amsterdam" +7698,"Mammy Yoko Heliport","Freetown","Sierra Leone","JMY",\N,8.490278,-13.289722,0,0,"N","Africa/Freetown" +7699,"Shearwater Heliport","Victoria Falls","Zimbabwe","",\N,-17.911443,25.828167,3937,2,"U","Africa/Harare" +7700,"Phan Rang Airport","Phan Rang","Vietnam","PHA","VVPR",11.6335,108.952,101,7,"N","Asia/Saigon" +7701,"Na-San Airport","Son-La","Vietnam","SQH","VVNS",21.217,104.033,2133,7,"N","Asia/Saigon" +7702,"Truckee-Tahoe Airport","Truckee","United States","TKF","KTRK",39.3200422,-120.1395628,5900,-8,"A","America/Los_Angeles" +7703,"Frejus Saint Raphael","Frejus","France","FRJ","LFTU",43.416667,6.733333,7,1,"E","Europe/Paris" +7704,"Geelong Airport","Geelong","Australia","GEX","YGLG",-38.225,144.333,43,10,"O","Australia/Hobart" +7705,"Detroit Amtrak Station","Detroit","United States","",\N,42.368097,-83.072397,630,-5,"A","America/New_York" +7706,"Ventura Amtrak","Ventura","United States","",\N,34.27833,-119.29222,59,-8,"A","America/Los_Angeles" +7707,"Berlin Hauptbahnhof","Berlin","Germany","QPP",\N,52.52493,13.36963,110,1,"E","Europe/Berlin" +7708,"Amsterdam Centraal","Amsterdam","Netherlands","ZYA",\N,52.7873,4.90074,0,1,"E","Europe/Amsterdam" +8169,"Moultrie Municipal Airport","Moultrie","United States","MGR",\N,31.0849167,-83.80325,294,-5,"A","America/New_York" +7710,"Mezen","Mezen","Russia","","ULAE",65.878333,44.215,46,4,"N","Europe/Moscow" +7711,"Vaskovo","Arkhangelsk","Russia","","ULAH",64.441667,40.421667,8,4,"N","Europe/Moscow" +7712,"Cobb County Airport-Mc Collum Field","Atlanta","United States","RYY","KRYY",34.0131569,-84.5970556,1041,-5,"A","America/New_York" +7713,"Oneonta Municipal Airport","Oneonta","United States","ONH",\N,42.524722,-75.064444,1763,-5,"A","America/New_York" +7714,"Tulln ","Tulln","Austria","","LOXT",48.318961,16.114275,575,1,"U","Europe/Vienna" +7715,"Wideawake Field","Georgetown Acension Island Santa Helena","United Kingdom","ASI",\N,-7.969597,-14.393664,278,0,"U","Atlantic/St_Helena" +7716,"Dell Flight Strip","Dell","United States","4U9","K4U9",44.7357483,-112.7200133,6007,-7,"A","America/Denver" +7717,"Mission Field Airport","Livingston-Montana","United States","LVM","KLVM",45.6993889,-110.4483056,4660,-7,"A","America/Denver" +7718,"Kota Kinabalu Airport","Kota Kinabalu","Malaysia","ZWR",\N,11.1111,11.1111,1,1,"N","Africa/Lagos" +7719,"Valetta Waterfront","Valetta","Malta","",\N,35.889867,14.508584,0,1,"E","Europe/Malta" +7720,"Big Timber Airport","Big Timber","United States","6S0","K6S0",45.8063889,-109.9811111,4492,-7,"A","America/Denver" +7721,"Tulip City Airport","Holland","United States","BIV","KBIV",42.7427778,-86.1078333,698,-5,"A","America/New_York" +7722,"London Heliport","London","United Kingdom","","EGLW",51.47,-0.177833,18,0,"E","Europe/London" +7723,"San Nicolo Airport","Venice","Italy","","LIPV",45.4283,12.3881,13,1,"E","Europe/Rome" +7724,"Tallinn Linnahall Heliport","Tallinn","Estonia","","EECL",59.4486,24.7532,23,2,"E","Europe/Tallinn" +7725,"Hernesaari Heliport","Helsinki","Finland","HEN","EFHE",60.1478,24.9244,7,2,"E","Europe/Helsinki" +7726,"Linkenheim Airport","Linkenheim","Germany","","EDRI",49.1417,8.39472,325,1,"E","Europe/Berlin" +7727,"Monument Valley Airport","Monument Valley","United States","","UT25",37.0167,-110.201,5192,-7,"U","America/Denver" +7728,"Hilversum Airport","Hilversum","Netherlands","","EHHV",52.1919,5.14694,3,1,"E","Europe/Amsterdam" +7729,"West 30th St. Heliport","New York","United States","JRA","KJRA",40.7545,-74.0071,7,-5,"A","America/New_York" +7730,"Texel Airport","Texel","Netherlands","","EHTX",53.1153,4.83361,2,1,"E","Europe/Amsterdam" +7731,"La Cerdanya","Das i Fontanals de Cerdanya","Spain","","LECD",42.3864,1.8667,3586,1,"E","Europe/Madrid" +7732,"Lakeland Linder Regional Airport","Lakeland","United States","LAL","KLAL",27.9889167,-82.0185556,142,-5,"A","America/New_York" +7733,"Valetta Grand Harbour","Valetta","Malta","",\N,14.507392,35.888695,0,3,"E","Africa/Khartoum" +7734,"Mgarr Seaplane Base","Mgarr","Malta","",\N,36.0245,14.298359,0,1,"E","Europe/Malta" +7735,"Bangkok","Bangkok","Thailand","",\N,13.9126,100.607,9,7,"U","Asia/Bangkok" +7737,"Jebel Ali Seaplane Base","Jebel Ali Golf Resort","United Arab Emirates","",\N,24.988951,55.023624,0,4,"U","Asia/Dubai" +7736,"Soneva Fushi","Baa Atoll","Maldives","",\N,5.113033,73.080288,0,5,"U","Indian/Maldives" +7738,"Stary Oskol","Stary Oskol","Russia","","UUOS",51.33,37.76833,791,4,"N","Europe/Moscow" +7739,"Savona Cruise Terminal","Savona","Italy","",\N,44.309654,8.486305,0,1,"E","Europe/Rome" +7740,"Barcelona Cruise Terminal","Barcelona","Spain","",\N,41.358901,2.178447,0,1,"E","Europe/Madrid" +7741,"Casablanca Harbor","Casablanca","Morocco","",\N,33.604737,-7.611337,0,0,"U","Africa/Casablanca" +7742,"Lanzarote Arrecife Cruise Terminal","Arrecife Lanzarote","Spain","",\N,28.967298,-13.527528,0,0,"E","Atlantic/Canary" +7743,"Tenerife Cruise Terminal","Santa Cruz de Tenerife","Spain","",\N,28.470068,-16.242471,0,0,"E","Atlantic/Canary" +7744,"Funchal Cruise Terminal","Funchal Madeira","Portugal","",\N,32.641868,-16.911478,0,0,"E","Europe/Lisbon" +7745,"Malaga Cruise Terminal","Malaga","Spain","",\N,36.702989,-4.41395,0,1,"E","Europe/Madrid" +7746,"Ponta Delgada Cruise Terminal","Ponta Delgada Acores","Portugal","",\N,37.738409,-25.662539,0,-1,"U","Atlantic/Azores" +7747,"Vigo Cruise Terminal","Vigo","Spain","",\N,42.241537,-8.728799,0,1,"E","Europe/Madrid" +7748,"Fort Lauderdale Cruise Terminal","Fort Lauderdale","United States","",\N,26.0882,-80.115373,0,-5,"A","America/New_York" +7749,"Southampton Cruise Terminal","Southampton","United Kingdom","",\N,50.900976,-1.413975,0,0,"E","Europe/London" +7750,"Miami Cruise Terminal","Miami","United States","",\N,25.779701,-80.177279,0,-5,"A","America/New_York" +7751,"Nassau Cruise Terminal","Nassau","Bahamas","",\N,25.081158,-77.341207,0,-5,"A","America/Nassau" +7752,"Lisbon Cruise Terminal","Lisbon","Portugal","",\N,38.712606,-9.122483,0,0,"E","Europe/Lisbon" +7753,"Cadiz Cruise Terminal","Cadiz","Spain","",\N,36.534821,-6.290649,0,1,"E","Europe/Madrid" +7754,"Marseille Cruise Terminal","Marseille","France","",\N,43.343969,5.333025,0,1,"E","Europe/Paris" +7755,"Los Angeles San Pedro Cruise Terminal","Los Angeles","United States","",\N,33.747198,-118.276856,0,-8,"A","America/Los_Angeles" +7756,"Kailua Kona Harbor","Kailua Kona Hawaii","United States","",\N,19.635393,-155.998328,0,-10,"A","Pacific/Honolulu" +7757,"Kauai Cruise Terminal Nawiliwili","Nawiliwili Kauai Hawaii","United States","",\N,21.954549,-159.355981,0,-10,"A","Pacific/Honolulu" +7758,"Hilo Cruise Terminal Hawaii","Hilo Hawaii","United States","",\N,19.730967,-155.054094,0,-10,"A","Pacific/Honolulu" +7759,"Honolulu Cruise Terminal Oahu","Honolulu Oahu","United States","",\N,21.301185,-157.865671,0,-10,"A","Pacific/Honolulu" +7760,"Lahaina Harbor Maui Hawaii","Lahaina Maui Hawaii","United States","",\N,20.876456,-156.683235,0,-10,"A","Pacific/Honolulu" +7761,"Ensenada Cruise Terminal","Ensenada","Mexico","",\N,31.855945,-116.624186,0,-8,"A","America/Tijuana" +7762,"Nanaimo Train Station","Nanaimo Station British Columbia","Canada","",\N,49.163978,-123.942502,92,-8,"A","America/Vancouver" +7763,"Victoria Rail Station British Columbia","Victoria Station British Columbia","Canada","",\N,48.428339,-123.370618,75,-8,"A","America/Vancouver" +7764,"Vancouver Cruise Terminal","Vancouver BC","Canada","",\N,49.289012,-123.111463,0,-8,"A","America/Vancouver" +7765,"Seattle Cruise Terminal","Seattle WA","United States","",\N,47.611241,-122.350026,0,-8,"A","America/Los_Angeles" +7766,"Syangboche","Syangboche","Nepal","SYH","VNSB",27.811187,86.712661,12309,5.75,"N","Asia/Katmandu" +7767,"Idlewild Intl","New York","United States","IDL","KIDL",40.639751,-73.778924,13,-5,"A","America/New_York" +7768,"Cheremshanka","Krasnoyarsk","Russia","","UNKM",56.179,92.54265,1000,8,"N","Asia/Krasnoyarsk" +7769,"French Valley Airport","Murrieta-Temecula","United States","RBK","KF70",33.5741791,-117.1284732,1350,-8,"A","America/Los_Angeles" +7770,"Anchorage Main Station","Anchorage Alaska","United States","",\N,61.221749,-149.890852,102,-9,"A","America/Anchorage" +7771,"Seward Train Station","Seward Alaska","United States","",\N,60.121586,-149.439983,22,-9,"A","America/Anchorage" +7772,"Fenosu","Oristano","Italy","FNU","LIER",39.895,8.6383,36,1,"E","Europe/Rome" +7773,"White Waltham Airfield","Maidenhead","United Kingdom","","EGLM",51.501,-0.774,133,0,"E","Europe/London" +7774,"Mysore Airport","Mysore","India","MYQ","VOMY",12.3072,76.6497,2349,5.5,"U","Asia/Calcutta" +7775,"Erie-Ottawa Regional Airport","Port Clinton","United States","PCW","KPCW",41.5162703,-82.8694868,590,-5,"U","America/New_York" +7776,"Dayton-Wright Brothers Airport","Dayton","United States","MGY","KMGY",39.5889722,-84.2248611,957,-5,"U","America/New_York" +7777,"Richmond Municipal Airport","Richmond","United States","RID","KRID",39.7561006,-84.8427175,1140,-5,"U","America/New_York" +7778,"Findlay Airport","Findley","United States","FDY","KFDY",41.0120278,-83.6686111,819,-5,"U","America/New_York" +7779,"Niagara Falls Station","Niagara Falls","Canada","","NIAG",43.108802,-79.06361,0,-5,"A","America/New_York" +7860,"Deputatsky","Deputatsky","Russia","","UEVD",69.293,139.5357,951,11,"N","Asia/Vladivostok" +7780,"Burlington Airpark","Burlington","Canada","","CZBA",43.4425,-79.850833,602,-5,"A","America/Toronto" +7781,"Baganara Island","Baganara","Guyana","",\N,6.343791,-58.591204,38,-4,"N","America/Guyana" +7782,"Penneshaw Airport","Penneshaw","Australia","PEA","YPSH",-34.75,137.933,0,9.5,"O","Australia/Adelaide" +7783,"Matamanoa Helipad","Matamanoa","Fiji","",\N,-17.638056,177.066944,10,12,"U","Pacific/Fiji" +7784,"Kaufbeuren BF","Kaufbeuren","Germany","KFX","KAUF",47.885,10.6294,1200,1,"E","Europe/Berlin" +7785,"Munich HBF","Munich","Germany","MUQ","MUNI",48.1408,11.555,1200,1,"E","Europe/Berlin" +7786,"Nurnberg HBF","Nurnberg","Germany","NUR","NURN",49.446,11.081944,1200,1,"E","Europe/Berlin" +7787,"Ebenhofen BF","Ebenhofen","Germany","EBE","EBEN",47.824,10.623,1200,1,"E","Europe/Berlin" +7788,"Augsburg HBF","Augsburg","Germany","AUB","AUGS",48.3655,10.886,1200,1,"E","Europe/Berlin" +7789,"Biessenhofen BF","Biessenhofen","Germany","BIE","BIES",47.851,10.634,1200,1,"E","Europe/Berlin" +7790,"Buchloe BF","Buchloe","Germany","BUH","BUCH",48.0411,10.715,1200,1,"E","Europe/Berlin" +7791,"Fussen BF","Fussen","Germany","FUX","FUSN",47.585,10.6866,1200,1,"E","Europe/Berlin" +7792,"Kempten HBF","Kempten","Germany","KEX","KEMP",47.724,10.311,1200,1,"E","Europe/Berlin" +7793,"Aiome","Aiome","Papua New Guinea","AIE",\N,-5.8,144.44,350,10,"U","Pacific/Port_Moresby" +7794,"Simbai","Simbai","Papua New Guinea","SIM",\N,-4,144,5450,10,"U","Pacific/Port_Moresby" +7795,"Ambunti","Ambunti","Papua New Guinea","AUJ",\N,-4.15,142.51,160,10,"U","Pacific/Port_Moresby" +7796,"Gunns Camp","Okavango","Botswana","",\N,-19.52666,23.14944,0,2,"U","Africa/Gaborone" +7797,"Sossusvlei","Sossusvlei","Namibia","",\N,-24.489444,15.815278,0,1,"S","Africa/Windhoek" +7798,"Marktoberdorf BF","Marktoberdorf","Germany","OAL","MARK",47.78,10.627,1200,1,"E","Europe/Berlin" +7799,"Marktoberdorf Schule","Marktoberdorf","Germany","MOS","MARO",47.777,10.623,1200,1,"E","Europe/Berlin" +7800,"Essen HBF","Essen","Germany","ESX","ESSE",51.451389,7.0138,1000,1,"E","Europe/Berlin" +7801,"Bochum HBF","Bochum","Germany","BOX","BOCH",51.478506,7.2222,1000,1,"E","Europe/Berlin" +7802,"Koln HBF","Koln","Germany","KOX","KOLN",50.9425,6.958056,1000,1,"E","Europe/Berlin" +7803,"Mannheim HBF","Mannheim","Germany","",\N,49.471,8.469858,1000,1,"E","Europe/Berlin" +7804,"Booker","Wycombe","United Kingdom","","EGTB",51.611667,-0.808056,520,0,"E","Europe/London" +7805,"Bembridge","Bembridge","United Kingdom","BBP","EGHJ",50.677778,-1.109444,53,0,"E","Europe/London" +7806,"Kings County Municipal Airport","Waterville","Canada","","CCW3",45.0519,-64.6517,119,-4,"A","America/Halifax" +7807,"Chojna Air Base","Chojna","Poland","",\N,52.9394,14.4217,187,1,"E","Europe/Warsaw" +7808,"Leuterschach BF","Leuterschach","Germany","LES","LEUT",47.75,10.601,1200,1,"E","Europe/Berlin" +7809,"Black Hills Airport-Clyde Ice Field","Spearfish-South Dakota","United States","SPF","KSPF",44.4811407,-103.7860053,3931,-7,"A","America/Denver" +7810,"Knokke-Heist Westkapelle Heliport","Knokke","Belgium","KNO","EBKW",51.3222,3.29306,0,1,"U","Europe/Brussels" +7811,"Redcliffe","Rothwell","Australia","","YRED",-27.206944,153.072778,75,10,"U","Australia/Brisbane" +7812,"Gdynia","Gdynia","Poland","QYD","EPOK",54.5797,18.5172,144,1,"E","Europe/Warsaw" +7813,"Malbork","Malbork","Poland","","EPMB",54.026944,19.134167,16,1,"E","Europe/Warsaw" +7814,"Lask","Lask","Poland","","EPLK",51.551667,19.179058,633,1,"E","Europe/Warsaw" +7815,"Miroslawiec","Miroslawiec","Poland","","EPMI",53.395072,16.082814,459,1,"E","Europe/Warsaw" +7816,"Krzesiny","Poznan","Poland","","EPKS",52.331719,16.966428,265,1,"E","Europe/Warsaw" +7817,"Olive Branch Muni","Olive Branch","United States","OLV","KOLV",34.876944,-89.783333,350,-6,"A","America/Chicago" +7818,"Vina Del Mar","Vina del Mar","Chile","","SCVM",-32.949611,-71.478583,461,-4,"S","America/Santiago" +7819,"Bangkok Intl closed","Bangkok","Thailand","","BKKX",13.91111,100.60611,5,7,"U","Asia/Bangkok" +7820,"Brampton Airport","Brampton","Canada","","CNC3",43.7603,-79.875,935,-5,"A","America/Toronto" +7821,"Zonguldak","Zonguldak","Turkey","ONQ","LTAS",41.506111,32.088611,44,2,"E","Europe/Istanbul" +7822,"Rocky Mountain Metropolitan Airport","Broomfield-CO","United States","BJC","KBJC",39.90888888,-105.11722222,5670,-7,"A","America/Denver" +7823,"Minot Train Station","Minot","United States","",\N,48.2361,-101.2987,0,-6,"A","America/Chicago" +7824,"Havre Train Station","Havre","United States","",\N,48.55457,-109.67836,0,-7,"A","America/Denver" +7825,"Wishram Train Station","Wishram","United States","",\N,45.6576,-120.9664,0,-8,"A","America/Los_Angeles" +7826,"McNary Field","Salem","United States","SLE","KSLE",44.9095,-123.003,214,-8,"A","America/Los_Angeles" +7827,"Tunica Municipal Airport","Tunica","United States","UTM","KUTA",34.681,-90.3467,194,-6,"A","America/Chicago" +7828,"Batken Airport","Batken","Kyrgyzstan","","UA30",40.0427,70.8381,3474,6,"E","Asia/Bishkek" +7829,"Sun Island","Sun Island","Maldives","",\N,4.2868,73.554894,1,5,"U","Indian/Maldives" +7830,"Kasaba Bay Airport","Kasaba Bay","Zambia","ZKB","FLKY",-8.525,30.663,2780,2,"U","Africa/Lusaka" +7831,"Lindau HBF","Lindau","Germany","LND","LIND",47.5489,9.688,1000,1,"E","Europe/Berlin" +7832,"Guardiamarina Zanartu Airport","Puerto Williams","Chile","WPU",\N,-54.9311,-67.6263,88,-4,"U","America/Santiago" +7833,"Volkel AB","Volkel","Netherlands","UDE",\N,51.656389,5.708611,72,1,"E","Europe/Amsterdam" +7834,"Hoogeveen Airport","Hoogeveen","Netherlands","","EHHO",52.7308,6.51611,40,1,"E","Europe/Amsterdam" +7835,"Teuge Airport","Deventer","Netherlands","","EHTE",52.2447,6.04667,17,1,"E","Europe/Amsterdam" +7836,"Midden-Zeeland Airport","Middelburg","Netherlands","","EHMZ",51.5122,3.73111,6,1,"E","Europe/Amsterdam" +7837,"Ameland Airport","Ameland","Netherlands","","EHAL",53.4517,5.67722,11,1,"E","Europe/Amsterdam" +7838,"Saint-Cyr-l-Ecole Airport","Saint-Cyr","France","","LFPZ",48.810278,2.073332,373,1,"E","Europe/Paris" +7839,"Lawrence J Timmerman Airport","Milwaukee","United States","MWC","KMWC",43.1103889,-88.0344167,745,-6,"A","America/Chicago" +7840,"Southern Wisconsin Regional Airport","Janesville","United States","JVL","KJVL",42.62025,-89.0415556,808,-6,"A","America/Chicago" +7841,"Mantsonyane Airport","Mantsonyane","Lesotho","","FXMN",-29.5461,28.271,7100,2,"U","Africa/Maseru" +7842,"Hatfield","Hatfield","United Kingdom","HTF",\N,51.765,-0.24833,254,0,"U","Europe/London" +7843,"Burswood Park Helipad","Perth","Australia","",\N,-31.952,115.859,25,8,"O","Australia/Perth" +7844,"Toronto Coach Terminal","Toronto","Canada","","TRTO",43.655996,-79.38416,0,-5,"A","America/Toronto" +7845,"Montreal Central Bus Station","Montreal","Canada","","MTRL",45.51527887,-73.561427593,0,-5,"A","America/Toronto" +7846,"Arlington Municipal","Arlington","United States","GKY","KGKY",32.6638611,-97.0942778,628,-6,"A","America/Chicago" +7847,"Gwinnett County Airport-Briscoe Field","Lawrenceville","United States","LZU","KLZU",33.9780761,-83.9623772,1061,-5,"A","America/New_York" +7848,"Bowling Green-Warren County Regional Airport","Bowling Green","United States","BWG","KBWG",36.9645278,-86.4196667,547,-6,"A","America/Chicago" +7849,"Richard Lloyd Jones Jr Airport","Tulsa","United States","RVS","KRVS",36.0396111,-95.9846389,638,-6,"A","America/Chicago" +7850,"Emeryville Amtrak Station","Emeryville","United States","",\N,37.8405149,-122.29134,23,-8,"A","America/Los_Angeles" +7851,"Bakersfield Amtrak Station","Bakersfield","United States","",\N,35.372159,-119.008393,408,-8,"A","America/Los_Angeles" +7852,"Krymsk","Novorossiysk","Russia","NOI",\N,44.4016,37.7779,50,4,"N",\N +7853,"Minhad HB","Minhad AB","United Arab Emirates","NHD","OMDM",25.02694,55.36611,165,4,"U","Asia/Dubai" +7854,"Kirovograd","Kirovograd","Ukraine","KGO","UKKG",48.54,32.29,510,2,"E","Europe/Kiev" +7855,"Roitzschjora Airport","Roitzschjora","Germany","","EDAW",51.5778,12.4944,289,1,"U","Europe/Berlin" +7856,"Alalamain Intl.","Dabaa City","Egypt","DBB","HEAL",30.15,28.0833,144,2,"N","Africa/Cairo" +7857,"Bryce Canyon","Bryce Canyon","United States","BCE","KBCE",37.706444,-112.145806,7590,-7,"A","America/Denver" +7858,"Heidelberg","Heidelberg","Germany","HDB","EDIU",49.393333,8.6525,0,1,"E","Europe/Berlin" +7859,"Burlington-Alamance Regional Airport","Burlington","United States","BUY","KBUY",36.0485433,-79.4748892,617,-5,"A","America/New_York" +7861,"Chkalovsky Airport","Shchyolkovo","Russia","CKL","UUMU",55.878333,38.061667,152,4,"N","Europe/Moscow" +7862,"Tengchong Tuofeng Airport","Tengchong","China","TCZ","ZUTC",24.938651,98.483591,5500,8,"N","Asia/Chongqing" +7863,"Belbek Sevastopol International Airport","Sevastopol","Ukraine","UKS","UKFB",44.691431,33.57567,344,2,"U","Europe/Kiev" +8420,"Berlin Brandenburg Willy Brandt","Berlin","Germany","BER","EDDB",52.366667,13.503333,154,1,"E","Europe/Berlin" +7865,"Paradise Island Seaplane Base","Nassau","Bahamas","WZY",\N,25.0872,-77.3239,0,-5,"U","America/Nassau" +7866,"Selous Siswandu","Selous National Park","Tanzania","",\N,-7.70515,38.158644,0,3,"U","Africa/Dar_es_Salaam" +7867,"De Peel Air Base","Deurne","Netherlands","","EHDP",51.5173,5.85572,98,1,"E","Europe/Amsterdam" +7868,"Camp Bastion ","Camp Bastion","Afghanistan","","OAZI",31.865556,64.195278,2808,4.5,"N","Asia/Kabul" +7869,"New Century AirCenter Airport","Olathe","United States","JCI","KIXD",38.8309167,-94.8903056,1087,-6,"A","America/Chicago" +7870,"Easton-Newnam Field Airport","Easton","United States","ESN","KESN",38.8041667,-76.069,72,-5,"A","America/New_York" +7871,"Stafsberg Airport","Hamar","Norway","HMR","ENHA",60.8181,11.068,713,1,"E","Europe/Oslo" +7872,"Ringebu Airport","Frya","Norway","","ENRI",61.5472,10.0611,571,1,"E","Europe/Oslo" +7873,"Starmoen","Elverum","Norway","","ENSM",60.88,11.6731,659,1,"E","Europe/Oslo" +7874,"Ferry County Airport","Republic","United States","R49",\N,48.7182058,-118.6564714,2522,-8,"A","America/Los_Angeles" +7875,"Yuba County Airport","Yuba City","United States","MYV","KMYV",39.0553,-121.3411,62,-8,"A","America/Los_Angeles" +7876,"Basel SBB","Basel","Switzerland","",\N,47.547531,7.58977,800,1,"E","Europe/Zurich" +7877,"Stockholm Cruise Port","Stockholm","Sweden","STO",\N,59.3233,18.081,0,1,"E","Europe/Stockholm" +7878,"Helsingborg Cruise Port","Helsingborg","Sweden","JHE",\N,56.0419,12.6912,0,1,"E","Europe/Stockholm" +7879,"Phillip Island Cruise Port","Phillip Island","Australia","","YPID",-38.4468,145.2378,0,10,"O","Australia/Hobart" +7880,"Halliburton Field Airport","Duncan","United States","DUC","KDUC",34.4713056,-97.9598611,1114,-6,"A","America/Chicago" +7881,"Port Authority Bus Terminal","New York","United States","","NYPA",40.75616,-73.9906,0,-5,"A","America/New_York" +7882,"Filitheyo","N.Nilandhoo Atoll","Maldives","",\N,3.207801,73.037308,0,5,"N","Indian/Maldives" +7883,"Helsinki Cruise Port","Helsinki","Finland","","HELC",60.163056,24.969167,6,2,"E","Europe/Helsinki" +7884,"Chinle Municipal Airport","Chinle","United States","E91",\N,36.1108806,-109.5754222,5547,-7,"N","America/Denver" +7885,"Garner Field","Uvalde","United States","UVA","KUVA",29.215429,-99.748962,942,-6,"A","America/Chicago" +7886,"Lewis University Airport","Lockport","United States","LOT","KLOT",41.606326,-88.083003,680,-6,"A","America/Chicago" +7887,"Frasca Field","Urbana","United States","C16",\N,40.144979,-88.200197,735,-6,"A","America/Chicago" +7888,"Buchanan Field Airport","Concord","United States","CCR","KCCR",37.9896667,-122.0568889,26,-8,"A","America/Los_Angeles" +7889,"Key Largo","Ocean Reef Club Airport","United States","OCA","07FA",25.325393,-80.274775,8,-5,"A","America/New_York" +7890,"Denver Union Station","Denver","United States","",\N,39.753187,-105.000093,0,-7,"A","America/Denver" +7891,"DELETE","DELETE","United States","",\N,-1.1111,-1.1111,0,0,"A",\N +7892,"Polygone","Strasbourg Neudorf","France","","LFGC",48.5548,7.7778,130,1,"E","Europe/Paris" +7893,"Nannhausen","Nannhausen","Germany","","EDRN",50,7.591667,1296,1,"E","Europe/Berlin" +7894,"Yushu Batang","Yushu","China","YUS","ZLYS",32.825,97.125,13000,8,"U","Asia/Chongqing" +7895,"Playon Chico","Playon Chico","Panama","PYC",\N,9.303333,-78.236111,10,-5,"U","America/Panama" +7896,"Ustupo","Ustupo","Panama","UTU",\N,9.137778,-77.933611,10,-5,"U","America/Panama" +7897,"Mamitupo","Mamitupo","Panama","MPU",\N,9.186667,-77.984167,10,-5,"U","America/Panama" +7898,"Huai An Lianshui Airport","Huai An","China","HIA","ZSSH",33.7772,119.1478,23,8,"N","Asia/Chongqing" +7899,"Mureck","Mureck","Austria","",\N,46.70778,15.76941,764,1,"E","Europe/Vienna" +7900,"Guessing","Guessing","Austria","",\N,47.05932,16.32449,820,1,"E","Europe/Vienna" +7901,"El Porvenir","El Porvenir","Panama","PVE",\N,9.559167,-78.971111,5,-5,"U","America/Panama" +7902,"Oshawa Airport","Oshawa","Canada","YOO","CYOO",43.9228,-78.895,459,-5,"A","America/Toronto" +7903,"Marl-Loemuehle Airport","Recklinghausen","Germany","","EDLM",51.6472,7.16333,240,1,"U","Europe/Berlin" +7904,"Farila Air Base","Farila","Sweden","","ESNF",62.03,15.752,660,1,"E","Europe/Stockholm" +7905,"Lahr Airport","Lahr","Germany","LHA","EDTL",48.3693,7.82772,511,1,"E","Europe/Berlin" +7906,"Monywa Airport","Monywa","Burma","","VYMY",22.233,95.117,298,6.5,"N","Asia/Rangoon" +7907,"Ohio University Airport","Athens","United States","","KUNI",39.2118928,-82.2292554,766,-5,"U","America/New_York" +7908,"Springfield-Beckly Municipal Airport","Springfield","United States","SGH","KSGH",39.8402778,-83.8401667,1051,-5,"A","America/New_York" +7909,"Sun Island Airport","South Aari Atoll","Maldives","MSI","SIAM",3.295,72.4814,2,5,"N","Indian/Maldives" +7910,"Fes Sefrou Airport","Fes","Morocco","","GMFU",34.0081,-4.96556,1539,0,"U","Africa/Casablanca" +7911,"Herrera International Airport","Santo Domingo","Dominican Republic","HEX","MDHE",18.475,-69.975,22,-4,"U","America/Santo_Domingo" +7912,"Cooinda","Cooinda","Australia","CDA","YCOO",-12.9033,132.532,43,9.5,"U","Australia/Darwin" +7913,"Jabiru","Jabiru","Australia","JAB","YJAB",-12.6571,132.893,52,9.5,"U","Australia/Darwin" +7914,"Pitt Island Airport","Pitt Island","New Zealand","","PITT",-44.300278,-176.220556,12,12.75,"U","Pacific/Chatham" +7915,"Plattling Bahnhof","Plattling","Germany","",\N,48.780147,12.863573,1050,1,"E","Europe/Berlin" +7916,"Osterhofen Bahnhof","Osterhofen Niederbayern","Germany","",\N,48.7,13.016667,1043,1,"E","Europe/Berlin" +7917,"Passau Hbf","Passau","Germany","",\N,48.574167,13.450833,1000,1,"E","Europe/Berlin" +7918,"Regensburg-Oberhub Airport","Regensburg","Germany","","EDNR",49.1419,12.0819,1299,1,"E","Europe/Berlin" +7919,"Regensburg HBF","Regensburg","Germany","RGB","REGE",49.022,12.1111,1200,1,"E","Europe/Berlin" +7920,"Treuchtlingen BF","Treuchtlingen","Germany","TLG","TREU",49.04,11.081944,1200,1,"E","Europe/Berlin" +7921,"Rivera Intl.","Rivera","Uruguay","",\N,-31.1127,55.4611,200,-3,"U",\N +7923,"Miami Seaplane Base","Miami","United States","MPB",\N,25.7783,-80.1703,0,-5,"A","America/New_York" +7924,"Hastings Airport","Freetown","Sierra Leone","HGS","GFHA",8.39713,-13.1291,60,0,"N","Africa/Freetown" +7925,"Philip Billard Muni","Topeka","United States","TOP","KTOP",39.068657,-95.622482,881,-6,"A","America/Chicago" +7926,"Grumeti Airstrip","Serengeti National Park","Tanzania","",\N,-2.157488,34.221232,5080,3,"N","Africa/Dar_es_Salaam" +7927,"Emporia Municipal Airport","Emporia","United States","EMP",\N,38.3321,-96.1912,1208,-6,"A","America/Chicago" +7928,"Benson Airstrip","Uvalde","United States","","2XS8",29.229405,-99.823947,929,-6,"A","America/Chicago" +7929,"Rough River State Park","Null","United States","","K2I3",37.609778,-86.506925,577,-6,"A","America/Chicago" +7930,"Smyrna Airport","Smyrna","United States","","KMQY",36.009,-86.5201,543,-6,"A","America/Chicago" +7931,"Franklin County Airport","Sewanee","United States","","KUOS",35.2051,-85.8981,1953,-6,"A","America/Chicago" +7932,"Gunsa","Shiquanhe","China","NGQ","ZUAL",32.10027,80.052778,13780,8,"N","Asia/Chongqing" +7933,"Magdeburg-Cochstedt","Cochstedt","Germany","CSO","EDBC",51.855833,11.418333,596,1,"E","Europe/Berlin" +7934,"Wurzburg HBF","Wurzburg","Germany","WZB","WURZ",49.7999,9.95555,1000,1,"E","Europe/Berlin" +7935,"Collin County Regional Airport at Mc Kinney","DALLAS","United States","TKI","KTKI",33.1779444,-96.5905278,585,-6,"A","America/Chicago" +7936,"Chicago Executive","Chicago-Wheeling","United States","PWK","KPWK",42.1142897,-87.9015376,647,-6,"A","America/Chicago" +7937,"Ol Kiombo Airstrip","Masai Mara National Park","Kenya","",\N,-1.409595,35.110803,0,3,"U","Africa/Nairobi" +7938,"Kelso Longview","Kelso","United States","KLS","KKLS",46.118,-122.898389,20,-8,"A","America/Los_Angeles" +7939,"Letiste Benesov","Benesov","Czech Republic","","LKBE",49.4427,14.3841,1322,1,"U","Europe/Prague" +7940,"Put-in-Bay Airport","Put-in-Bay","United States","3W2",\N,41.3521,-82.497,595,-5,"A","America/New_York" +7941,"Bougouni","Bougouni","Mali","","GABG",11.45,-7.517,300,0,"N","Africa/Bamako" +7942,"Glenwood Springs Train Station","Glenwood Springs","United States","",\N,39.548,-107.3233,0,-7,"A","America/Denver" +7943,"Grand Junction Train Station","Grand Junction","United States","",\N,39.0646,-108.5705,0,-7,"A","America/Denver" +7944,"Reno Amtrak Station","Reno","United States","",\N,39.5287,-119.8116,0,-8,"A","America/Los_Angeles" +7945,"Sacramento Amtrak Station","Sacramento","United States","",\N,38.584791,-121.500517,0,-8,"A","America/Los_Angeles" +7946,"Tureia Airport","Tureia","French Polynesia","ZTA","NTGY",-20.7897,-138.57,12,-10,"N",\N +7947,"Ice Runway-McMurdo Sstation","Ross Island","Antarctica","","NZIR",-77.8477778,166.6683333,1,12,"N","Antarctica/South_Pole" +7948,"Keekorok","Keekorok","Kenya","","HKKE",-1.586418,35.259036,5536,3,"N","Africa/Nairobi" +7949,"Ol Kiombo","Mara Intrepids","Kenya","",\N,-1.409569,35.110788,5006,3,"N","Africa/Nairobi" +7950,"Ol Kiombo","Mara Intrepids","Kenya","",\N,-1.409569,35.110788,5006,3,"N","Africa/Nairobi" +7951,"Kichwa Tembo","Kichwa Tembo","Kenya","",\N,-1.264132,35.022719,5174,3,"N","Africa/Nairobi" +7952,"Busan","Busan","South Korea","",\N,35.179444,129.075556,0,9,"U","Asia/Seoul" +7953,"Busan","Busan","South Korea","",\N,35.179444,129.075556,0,9,"U","Asia/Seoul" +7954,"Gare de Marne-la-Vallee","Chessy","France","",\N,48.869722,2.782778,250,1,"E","Europe/Paris" +7955,"Jefferson County Intl","Port Townsend","United States","TWD",\N,48.0314,-122.4838,108,-8,"A","America/Los_Angeles" +7956,"Lynden Airport","Lynden","United States","38W",\N,48.9558961,-122.4581183,106,-8,"A","America/Los_Angeles" +7957,"Jefferson County Intl","Port Townsend","United States","0S9",\N,48.0538086,-122.8106436,108,-8,"A","America/Los_Angeles" +7958,"Savut","Savut","Botswana","",\N,1,1,1,1,"U",\N +7959,"Xakan","Xakan","Botswana","",\N,1,1,1,1,"N",\N +7960,"Xakan","Xakan","Botswana","",\N,1,1,1,1,"N",\N +7961,"Xugan","Xugan","Botswana","",\N,1,1,1,0,"N",\N +7962,"Puerto Obaldia","Puerto Obaldia","Panama","PUE","MPOA",8.68333,-77.5333,223,-5,"U","America/Panama" +7963,"Kerch Intl","Kerch","Ukraine","KHC","UKFK",45.372869,36.402761,152,2,"E","Europe/Kiev" +7964,"Khao Sok National Park","Surat Thani","Thailand","",\N,8.936667,98.530278,1200,7,"U","Asia/Bangkok" +7965,"Khao Sok National Park","Surat Thani","Thailand","",\N,8.936667,98.530278,1200,7,"U","Asia/Bangkok" +7966,"Boston South Station","Boston","United States","","BOST",42.35,-71.0558,0,-5,"A","America/New_York" +7967,"Tarifa","Tarifa","Spain","",\N,36.070781,-5.602764,20,1,"E","Europe/Madrid" +7968,"Train Station","Ottawa","Canada","XDS",\N,45.4164,-75.6517,374,-5,"A","America/Toronto" +7969,"Train Station","Belleville","Canada","XVV",\N,44.1793,-77.3747,315,-5,"A","America/Toronto" +7970,"Train Station","Edmonton","Canada","XZL",\N,53.5789,-113.5307,2208,-7,"A","America/Edmonton" +7971,"Train Station","Richmond","United States","ZRD",\N,37.5343,-77.42945,26,-5,"A","America/New_York" +7972,"Sentral","Kuala Lumpur","Malaysia","XKL",\N,3.134,101.686,126,8,"N","Asia/Kuala_Lumpur" +7973,"Train Station","Churchill","Canada","XAD",\N,58.76775,-94.17425,10,-6,"A","America/Winnipeg" +7974,"Train Station","Winnipeg","Canada","XEF",\N,49.8889,-97.1342,751,-6,"A","America/Winnipeg" +7975,"Kingston VIA Station","Kingston","Canada","",\N,44.2572,-76.53715,282,-5,"A","America/Toronto" +7976,"Ukunda Airport","Ukunda","Kenya","UKA","HKUK",-4.29694,39.5714,0,3,"U","Africa/Nairobi" +7977,"Whitehaven Beach","Whitsunday Island","Australia","",\N,-20.28866,149.044966,0,10,"U","Australia/Brisbane" +7978,"Wilmington Airborne Airpark","Wilmington","United States","ILN","KILN",39.42792,-83.792118,1077,-5,"U","America/New_York" +7979,"Marana Regional","Tucson","United States","AVW","KAVQ",32.409556,-111.218388,2031,-7,"U","America/Phoenix" +7980,"Casa Grande Municipal Airport","Casa Grande","United States","CGZ","KCGZ",32.954889,-111.766832,1464,-7,"U","America/Phoenix" +7981,"Mobile","Mobile","United States","","1AZ0",33.111944,-112.269166,1261,-7,"U","America/Phoenix" +7982,"Buckeye Municipal Airport","Buckeye","United States","BXK","KBXK",33.420417,-112.68618,1033,-7,"U","America/Phoenix" +7983,"Gila Bend Municipal Airport","Gila Bend","United States","E63","KE63",32.960169,-112.673636,789,-7,"U","America/Phoenix" +7984,"McMinn Co","Athens","United States","MMI","KMMI",35.39919,-84.56177,874,-5,"N","America/New_York" +7985,"Sterling Municipal Airport","Sterling","United States","STK","KSTK",40.6153136,-103.2648454,4040,-7,"A","America/Denver" +7986,"Rawlins Municipal Airport-Harvey Field","Rawlins","United States","RWL","KFWL",41.8055975,-107.19994,6813,-7,"A","America/Denver" +7987,"Mackenzie Airport","Mackenzie British Columbia","Canada","YZY","CYZY",55.29944,-123.08333,2264,-8,"A","America/Vancouver" +7988,"JALOU","Jalu","Libya","",\N,29.142222,21.380556,0,2,"U","Africa/Tripoli" +7989,"JALOU","Jalu","Libya","",\N,29.142222,21.380556,0,2,"U","Africa/Tripoli" +7990,"Caldwell Essex County Airport","Caldwell","United States","CDW","KCDW",40.8752222,-74.2813611,172,-5,"A","America/New_York" +7991,"Lee C Fine Memorial Airport","Kaiser Lake Ozark","United States","AIZ","KAIZ",38.096035,-92.5494875,869,-6,"A","America/Chicago" +7992,"Yuryevets","Yuryevets","Russia","",\N,57.3106,43.1003,269,4,"N","Europe/Moscow" +7993,"Big Bear City","Big Bear","United States","L35",\N,34.2637778,-116.8560278,6725,-8,"A","America/Los_Angeles" +7994,"KIEV INTERNATIONAL AIRPORT","KIEV","Ukraine","KIP","KIEV",50.1403,30.1808,250,2,"E","Europe/Kiev" +7995,"Los Angeles Union Station","Los Angeles","United States","",\N,34.056111,-118.234167,300,-8,"A","America/Los_Angeles" +7996,"Bamberg BF","Bamberg","Germany","BAM","BAMB",49.911,10.9,800,1,"E","Europe/Berlin" +7997,"Ingolstadt BF","Ingolstadt","Germany","IGS","INGS",48.7777,11.422,888,1,"E","Europe/Berlin" +7998,"Thomasville Regional Airport","Thomasville","United States","TVI","KTVI",30.9017921,-83.8811285,264,-5,"A","America/New_York" +7999,"Henderson Executive Airport","Henderson","United States","HSH","KHND",35.972778,-115.134444,1881,-8,"A","America/Los_Angeles" +8000,"Gostomel Antonov","Kiev","Ukraine","GML","UKKM",50.603611,30.191944,517,2,"E","Europe/Kiev" +8001,"Zuoying Station","Kaohsiung","Taiwan","",\N,22.687389,120.307481,31,8,"N","Asia/Taipei" +8002,"Taipei Station","Taipei","Taiwan","",\N,25.047778,121.517222,30,8,"N","Asia/Taipei" +8003,"Donghae","Donghae","South Korea","",\N,37.489,129.124,0,9,"N","Asia/Seoul" +8004,"Sakaiminato Port","Sakaiminato","Japan","",\N,35.539,133.264,0,9,"N","Asia/Tokyo" +8005,"Henry Tift Myers Airport","Tifton","United States","TMA","KTMA",31.4289814,-83.488545,355,-5,"A","America/New_York" +8006,"Landshut Ellermuehle","Landshut","Germany","","EDML",48.5133333333333,12.035,1200,1,"E","Europe/Berlin" +8007,"Itzehoe-Hungriger Wolf Airport","Itzehoe","Germany","","EDHF",53.9944,9.57861,89,1,"E","Europe/Berlin" +8008,"Savannah Cruise Terminal","Savannah","United States","",\N,32.08558,-81.097559,0,-5,"U","America/New_York" +8009,"CHARLESTON CRUISE TERMINAL","CHARLESTON","United States","",\N,32.781081,-79.92364,0,-5,"U","America/New_York" +8010,"NEW YORK CRUISE TERMINAL PIER 92","NEW YORK","United States","",\N,40.767681,-73.999107,0,-5,"U","America/New_York" +8011,"Navy Dockyard Hamilton Bermuda","HAMILTON","Bermuda","",\N,32.327037,-64.830626,0,-4,"U","Atlantic/Bermuda" +8012,"Tokyo Station","Tokyo","Japan","",\N,35.672498,139.753218,16,9,"N","Asia/Tokyo" +8013,"Shin-Osaka Station","Osaka","Japan","",\N,34.738932,135.500093,61,9,"N","Asia/Tokyo" +8014,"Hiroshima Station","Hiroshima","Japan","",\N,34.3973853173792,132.475978195923,28,9,"N","Asia/Tokyo" +8015,"Frankfurt-Main Hauptbahnhof","Frankfurt","Germany","ZRB",\N,50.1070257990375,8.66276050515751,372,1,"E","Europe/Berlin" +8016,"Amsterdam Amstel Station","Amsterdam","Netherlands","",\N,52.3466365904832,4.91781401731873,21,1,"E","Europe/Amsterdam" +8017,"Florenc Central Bus Station","Prague","Czech Republic","",\N,50.0909636578274,14.4394929551697,617,1,"E","Europe/Prague" +8018,"Wien Sudbahnhof","Vienna","Austria","",\N,48.1866480486625,16.3815008466187,651,1,"E","Europe/Vienna" +8019,"Praha hlavni nadrazi","Prague","Czech Republic","XYG",\N,50.0826892098189,14.4350297593689,691,1,"E","Europe/Prague" +8020,"Wien Westbahnhof","Vienna","Austria","",\N,48.1965754250116,16.3374911611023,675,1,"E","Europe/Vienna" +8021,"Venezia Santa Lucia","Venice","Italy","",\N,45.4417738709625,12.3199978080597,8,1,"E","Europe/Rome" +8022,"Firenze Santa Maria Novella","Florence","Italy","",\N,43.7766651171349,11.2480175237426,159,1,"E","Europe/Rome" +8023,"Roma Termini","Rome","Italy","",\N,41.9004811137748,12.5020006853333,189,1,"E","Europe/Rome" +8024,"St Pancras Railway Station","London","United Kingdom","QQS",\N,51.532519492138,-0.12630037301642,80,0,"E","Europe/London" +8025,"Chitabe Airstrip","Chitabe","Botswana","",\N,-19.4687,23.38271,3000,2,"U","Africa/Gaborone" +8026,"Fish River Canyon Lodge Airstrip","Fish River Canyon","Namibia","",\N,-27.659288,17.837624,3077,1,"S","Africa/Windhoek" +8027,"Sossusvlei Desert Lodge Airstrip","Sossusvlei","Namibia","",\N,-24.802812,15.891713,2950,1,"S","Africa/Windhoek" +8028,"Ulusaba Airstrip","Ulusaba","Namibia","ULX",\N,-24.782766,31.353929,1470,2,"S","Africa/Johannesburg" +8029,"RADOM","RADOM","Poland","QXR","EPRA",51.231978,21.124183,479,1,"E","Europe/Warsaw" +8030,"Deer Valley Municipal Airport","Phoenix ","United States","DVT","KDVT",33.4117,112.457,1478,8,"A","Asia/Chongqing" +8031,"Calgary Springbank Airport","Calgary","Canada","YBW","CYBW",51.1031,-114.374,3939,-7,"A","America/Edmonton" +8032,"Golden Airport","Golden","Canada","YGE","CYGE",51.2992,-116.982,2575,-7,"A","America/Edmonton" +8033,"Revelstoke Airport","Revelstoke","Canada","YRV","CYRV",50.9667,-118.183,1459,-8,"A","America/Vancouver" +8034,"Republic Airport","Farmingdale","United States","","KFRG",40.7288,-73.4134,82,-5,"A","America/New_York" +8035,"Allstedt","Allstedt","Germany","","EDBT",51.3806,11.4467,932,1,"E","Europe/Berlin" +8036,"BWKAM","Amberg","Germany","",\N,49.43,11.8,500,1,"E","Europe/Berlin" +8037,"Glindbruchkippe","Peine","Germany","","KIPP",52.3237,10.182,230,1,"E","Europe/Berlin" +8038,"General Freire","Curico","Chile","","SCIC",-34.9667,-71.2164,722,-4,"S","America/Santiago" +8039,"Peine-Eddesse Airport","Peine","Germany","","EDVP",52.4025,10.2289,249,1,"E","Europe/Berlin" +8040,"Seattle King Street Station","Seattle","United States","",\N,47.5985,-122.3299,7,-8,"A","America/Los_Angeles" +8041,"Tula","Tula","Russia","TYA",\N,54.142208,37.355619,590,4,"N","Europe/Moscow" +8042,"Hondo Municipal Airport","Hondo","United States","HDO","KHDO",29.3591,-99.1775,930,-6,"A","America/Chicago" +8043,"Zhongwei Xiangshan Airport","Zhongwei","China","ZHY","ZLZW",37.5728,105.1544,4305,8,"N","Asia/Chongqing" +8044,"Milwaukee Airport Station","Milwaukee","United States","",\N,42.940556,-87.924722,730,-6,"A","America/Chicago" +8045,"Springfield IL Amtrak","Springfield","United States","",\N,39.8023,-89.6515,593,-6,"A","America/Chicago" +8046,"St. Louis Amtrak - old","St. Louis","United States","",\N,38.6241,-90.2056,450,-6,"A","America/Chicago" +8047,"Camarillo Amtrak","Camarillo","United States","",\N,34.2164,-119.0335,140,-8,"A","America/Los_Angeles" +8048,"Seattle Pier 52","Seattle","United States","",\N,47.6005,-122.3388,7,-8,"A","America/Los_Angeles" +8049,"Bremerton Terminal","Bremerton","United States","",\N,47.5619,-122.625,7,-8,"A","America/Los_Angeles" +8050,"McKinley National Park Airport","McKinley Park","United States","MCL","PAIN",63.732757,-148.91129,1720,-9,"A","America/Anchorage" +8051,"Lake Hood Seaplane Base","Anchorage","United States","LHD","PALH",61.1866382,-149.9653918,71,-9,"A","America/Anchorage" +8052,"Prospect Creek Airport","Prospect Creek","United States","PPC","PAPR",66.814167,-150.643611,1095,-9,"A","America/Anchorage" +8053,"Khwai River Lodge","Khwai River","Botswana","KHW","FBKR",-19.149166,23.7875,3000,2,"N","Africa/Gaborone" +8054,"Spremberg-Welzow Airport","Welzow","Germany","","EDCY",51.5756,14.1369,374,1,"E","Europe/Berlin" +8055,"Taichung Airport","Taichung","Taiwan","TXG","RCLG",24.1863,120.654,369,8,"N","Asia/Taipei" +8056,"Columbia County","Hudson NY","United States","HCC",\N,42.2913,-73.7103,198,-5,"A","America/New_York" +8057,"Sasovo","Sasovo","Russia","",\N,54.3539,41.9739,365,4,"N","Europe/Moscow" +8058,"Hong Kong Macau Ferry Terminal","Hong Kong","Hong Kong","",\N,22.289372,114.152153,0,8,"N","Asia/Hong_Kong" +8059,"Hong Kong Macau Ferry Terminal","Hong Kong","Hong Kong","",\N,22.289372,114.152153,0,8,"N","Asia/Hong_Kong" +8060,"Macau Taipa Ferry Terminal","Macau","Macau","",\N,22.1633,113.57404,0,8,"N","Asia/Macau" +8061,"Macau Taipa Ferry Terminal","Macau","Macau","",\N,22.1633,113.57404,0,8,"N","Asia/Macau" +8062,"Wheeling Ohio County Airport","Wheeling","United States","HLG",\N,40.175,-80.6463,1195,-5,"A","America/New_York" +8063,"Fitzgerald Municipal Airport","Fitzgerald","United States","FZG","KFZG",31.6839046,-83.2709036,365,-5,"A","America/New_York" +8064,"Perry-Foley Airport","Perry","United States","40J",\N,30.0692778,-83.5805833,44,-5,"A","America/New_York" +8065,"Cairo-Grady County Airport","Cairo","United States","70J",\N,30.8879767,-84.1547353,265,-5,"A","America/New_York" +8066,"Pacific Station","Vancouver","Canada","",\N,49.2739,-123.0986,0,-8,"A","America/Vancouver" +8067,"Tamar Mepe Airport","Mestia","Georgia","",\N,43.06848,42.75424,100,4,"N","Asia/Tbilisi" +8068,"Samsun ","Samsun","Turkey","SSX",\N,41.1641,36.1814,521,2,"U","Europe/Istanbul" +8069,"Ye","Ye","Burma","XYE","VYYE",15.25,97.85,25,6.5,"U","Asia/Rangoon" +8070,"Isla San Felix","Isla San Felix","Chile","","SCFX",-26.293864,-80.096214,165,-4,"U","America/Santiago" +8071,"Kingston Train Station","Kingston","Canada","XEG","KGST",44.256944,-76.536943,282,-5,"A","America/Toronto" +8072,"Dorval Railway Station","Dorval","Canada","XAX",\N,45.448611,-73.74111,0,-5,"A","America/Toronto" +8073,"Brockville Megabus Stop","Brockville","Canada","","BRKM",44.6003,-75.7039,0,-5,"A","America/Toronto" +8074,"Brockville VIA Station","Brockville","Canada","","BRKV",44.5919,-75.693343,0,-5,"A","America/Toronto" +8075,"Shaybah airport","Shaybah","Saudi Arabia","","OESB",22.5147,53.9597,262,3,"N","Asia/Riyadh" +8076,"Dubai Al Maktoum","Dubai","United Arab Emirates","DWC","OMDW",24.55056,55.103174,170,4,"U","Asia/Dubai" +8077,"Aransas County Airport","Rockport","United States","RKP","KRKP",28.0862222,-97.0436944,24,-6,"A","America/Chicago" +8078,"Bandanaira Airport","Bandanaira-Naira Island","Indonesia","NDA",\N,-4.53333,129.9,37,9,"N",\N +8079,"Megeve Airport","Verdun","France","MVV","LFHM",45.8208,6.65222,4823,1,"U","Europe/Paris" +8080,"Meribel Airport","Ajaccio","France","MFX","LFKX",45.4069,6.58056,5636,1,"U","Europe/Paris" +8081,"Oldbury","Oldbury","United Kingdom","",\N,52.55,-2.0166,499,0,"E","Europe/London" +8082,"Tianyang","Baise","China","AEB",\N,23.72,106.96,485,8,"N","Asia/Chongqing" +8083,"Okaukuejo Airport","Okaukuejo","Namibia","OKF","FYOO",-19.1492,15.9119,3911,1,"S","Africa/Windhoek" +8084,"Mokuti Lodge Airport","Mokuti Lodge","Namibia","OKU","FYMO",-18.8128,17.0594,3665,1,"S","Africa/Windhoek" +8085,"Rotenburg Wuemme Airport","Rotenburg Wuemme","Germany","","EDXQ",53.1283,9.34861,98,1,"E","Europe/Berlin" +8086,"Wipperfuerth-Neye Airport","Wipperfuerth","Germany","","EDKN",51.1242,7.37361,863,1,"E","Europe/Berlin" +8087,"Osnabrueck-Atterheide Airport","Osnabrueck","Germany","","EDWO",52.2864,7.96972,285,1,"E","Europe/Berlin" +8088,"Ballenstedt Airport","Ballenstedt","Germany","","EDCB",51.7458,11.2297,535,1,"E","Europe/Berlin" +8089,"Hartenholm Airport","Hasenmoor","Germany","","EDHM",53.915,10.0356,108,1,"E","Europe/Berlin" +8090,"Ganderkesee Atlas Airfield Airport","Ganderkesee","Germany","","EDWQ",53.0361,8.50556,95,1,"E","Europe/Berlin" +8091,"Nienburg-Holzbalge Airport","Nienburg Weser","Germany","","EDXI",52.7097,9.1625,82,1,"E","Europe/Berlin" +8092,"Damme Airport","Damme","Germany","","EDWC",52.4875,8.18556,151,1,"E","Europe/Berlin" +8093,"Borkenberge Airport","Duelmen","Germany","","EDLB",51.78,7.288,157,1,"E","Europe/Berlin" +8094,"Obermehler-Schlotheim Airport","Obermehler","Germany","","EDCO",51.2678,10.6347,909,1,"E","Europe/Berlin" +8095,"Hodenhagen Airport","Hodenhagen","Germany","","EDVH",52.7611,9.60556,79,1,"E","Europe/Berlin" +8096,"Grube Airport","Grube","Germany","","EDHB",54.2444,11.0247,7,1,"E","Europe/Berlin" +8097,"Toender Airport","Toender","Denmark","","EKTD",54.9297,8.84057,0,1,"E","Europe/Copenhagen" +8098,"Celle-Arloh Airport","Celle","Germany","","EDVC",52.6872,10.1114,207,1,"E","Europe/Berlin" +8099,"Uelzen Airport","Uelzen","Germany","","EDVU",52.9839,10.465,246,1,"E","Europe/Berlin" +8100,"Hamm-Lippewiesen Airport","Hamm","Germany","","EDLH",51.6897,7.81611,190,1,"E","Europe/Berlin" +8101,"Luesse Airport","Luesse","Germany","","EDOJ",52.1411,12.6647,217,1,"E","Europe/Berlin" +8102,"Porta Westfalica Airport","Bad Oeynhausen","Germany","","EDVY",52.2208,8.85917,148,1,"E","Europe/Berlin" +8103,"Brilon Hochsauerlandkreis Airport","Brilon","Germany","","EDKO",51.4025,8.64167,1509,1,"E","Europe/Berlin" +8104,"Hameln Pyrmont Airport","Bad Pyrmont","Germany","","EDVW",51.9667,9.29167,1178,1,"E","Europe/Berlin" +8105,"Nordholz Spieka Airport","Cuxhaven","Germany","","EDXN",53.7672,8.64361,72,1,"E","Europe/Berlin" +8106,"Koethen Airport","Koethen","Germany","","EDCK",51.7211,11.9528,305,1,"E","Europe/Berlin" +8107,"St. Michaelisdonn Airport","Sankt Michaelisdonn","Germany","","EDXM",53.9781,9.14472,125,1,"E","Europe/Berlin" +8108,"Salzgitter Druette Airport","Salzgitter","Germany","","EDVS",52.1544,10.4267,328,1,"E","Europe/Berlin" +8109,"Karlshoefen Airport","Karlshoefen","Germany","","EDWK",53.3328,9.02833,20,1,"E","Europe/Berlin" +8110,"Oldenburg Hatten Airport","Oldenburg","Germany","","EDWH",53.0689,8.31361,26,1,"E","Europe/Berlin" +8111,"Rinteln Airport","Rinteln","Germany","","EDVR",52.1753,9.05333,180,1,"E","Europe/Berlin" +8112,"Muenster-Telgte Airport","Muenster","Germany","","EDLT",51.9444,7.77389,177,1,"E","Europe/Berlin" +8113,"St. Peter-Ording Airport","Sankt Peter-Ording","Germany","PSH","EDXO",54.3089,8.68694,7,1,"E","Europe/Berlin" +8114,"Luechow-Rehbeck Airport","Luechow","Germany","","EDHC",53.0161,11.1444,49,1,"E","Europe/Berlin" +8115,"Klietz-Scharlibbe Airport","Scharlibbe","Germany","","EDCL",52.7094,12.0733,95,1,"E","Europe/Berlin" +8116,"Burg Airport","Burg","Germany","","EDBG",52.2417,11.8561,174,1,"E","Europe/Berlin" +8117,"Crisp County Cordele Airport","Cordele","United States","CKF","KCKF",31.9888333,-83.7739167,310,-5,"A","America/New_York" +8118,"Ormond Beach municipal Airport","Ormond Beach","United States","OMN","KOMN",29.1804,-81.06497,28,-5,"A","America/New_York" +8119,"Bad Neuenahr-Ahrweiler Airport","Bad Neuenahr","Germany","","EDRA",50.5578,7.13639,673,1,"E","Europe/Berlin" +8120,"Bad Duerkheim Airport","Bad Duerkheim","Germany","","EDRF",49.4731,8.19639,351,1,"E","Europe/Berlin" +8121,"Portland Troutdale","Troutdale","United States","TTD","KTTD",45.54937,-122.401253,39,-8,"A","America/Los_Angeles" +8122,"Portland Hillsboro","Hillsboro","United States","HIO","KHIO",45.540394,-122.949825,204,-8,"A","America/Los_Angeles" +8123,"One Police Plaza Heliport","New York","United States","","NK39",40.7126,-73.9996,244,-5,"A","America/New_York" +8124,"Leverkusen Airport","Leverkusen","Germany","","EDKL",51.0153,7.00556,157,1,"E","Europe/Berlin" +8125,"Suwannee County Airport","Live Oak","United States","24J",\N,30.300125,-83.0246944,104,-5,"A","America/New_York" +8126,"Wershofen Eifel","Wershofen","Germany","","EDRV",50.451667,6.784444,1560,1,"E","Europe/Berlin" +8127,"FOB Salerno","Khost","Afghanistan","KHT","OAKS",33.3334,69.952,3756,4.5,"N","Asia/Kabul" +8128,"TCO","Tengiz","Kazakhstan","",\N,46.303056,53.4275,0,5,"U","Asia/Oral" +8129,"TCO","Tengiz","Kazakhstan","",\N,46.303056,53.4275,0,5,"U","Asia/Oral" +8130,"NAYPYITAW","NAYPYITAW","Burma","NYT","VYNT",19.374,96.121,294,6.5,"N","Asia/Rangoon" +8132,"Maramba Aerodrome","Livingstone","Zambia","",\N,-17.8846,25.8468,0,2,"U","Africa/Lusaka" +8133,"Bend Municipal Airport","Bend","United States","","KBDN",44.0945556,-121.2002222,3460,-8,"A","America/Los_Angeles" +8134,"Christmas Valley Airport","Christmas Valley","United States","","K62S",43.2365314,-120.6660967,4317,-8,"A","America/Los_Angeles" +8135,"Burns Municipal Airport","Burns","United States","","KBNO",43.5919167,-118.95554444,4159,-8,"A","America/Los_Angeles" +8136,"Prineville Airport","Prineville","United States","","KS39",44.2869939,-120.9038328,3250,-8,"A","America/Los_Angeles" +8137,"Red Bluff Municipal Airport","Red Bluff","United States","","KRBL",40.1506944,-122.2523056,352,-8,"A","America/Los_Angeles" +8138,"Gnoss Field Airport","Novato","United States","","KDVO",38.1436111,-122.5561,2,-8,"A","America/Los_Angeles" +8139,"Lake County Airport","Lakeview","United States","","KLKV",42.1611111,-120.3990833,4733,-8,"A","America/Los_Angeles" +8140,"Tillamook Airport","Tillamook","United States","","KTMK",45.4182419,-123.8143839,36,-8,"A","America/Los_Angeles" +8141,"Ontario Municipal Airport","Ontario","United States","","KONO",44.0193611,-117.0130278,2193,-7,"A","America/Denver" +8142,"Columbia Gorge Regional - The Dalles Municipal Airport","The Dalles","United States","","KDLS",45.6185556,-121.1673333,247,-8,"A","America/Los_Angeles" +8143,"Montgomery County Airpark","Gaithersburg","United States","GAI","KGAI",39.1006,-77.09576,0,-5,"A","America/New_York" +8144,"Cincinnati Union Terminal","Cincinnati","United States","",\N,39.109961,-84.537074,497,-5,"A","America/New_York" +8145,"FOB Sharana","Sharan","Afghanistan","",\N,33.12777215,68.8369847,7400,4.5,"N","Asia/Kabul" +8146,"Sharona","Sharona","Afghanistan","AZ3","OASA",33.1277215,68.8369847,7400,4.5,"N","Asia/Kabul" +8147,"Pembroke Airport","Pembroke","Canada","YTA","CYTA",45.864399,-77.251701,529,-5,"A","America/Toronto" +8148,"Tsumeb Airport","Tsumeb","Namibia","TSB","FYTM",-19.1542,17.4357,4353,1,"U","Africa/Windhoek" +8149,"Suffield Heliport","Suffield","Canada","YSD","CYSD",50.2666701,-111.182999,2525,-7,"A","America/Edmonton" +8150,"Field 21","Wainwright","Canada","",\N,52.830601,-111.100998,2260,-7,"A","America/Edmonton" +8151,"Field 21","Wainwright","Canada","",\N,52.830601,-111.100998,2260,-7,"A","America/Edmonton" +8152,"Aeroporto Blumenau","BLUMENAU","Brazil","BNU","SSBL",-26.834239,-49.091696,70,-3,"S","America/Sao_Paulo" +8153,"Aeroclub Mures","Targu Mures","Romania","","LRMS",46.3201,24.3157,1000,2,"E","Europe/Bucharest" +8154,"Aeroclub Sibiu","Sibiu","Romania","",\N,45.4649,24.053,1451,2,"E","Europe/Bucharest" +8155,"Aeroclub Sibiu","Sibiu","Romania","SIB",\N,45.4649,24.053,1451,2,"E","Europe/Bucharest" +8156,"Bolshoe Gryzlovo","Stupino","Russia","","UUDG",54.786667,37.649167,797,4,"N","Europe/Moscow" +8157,"Aerodrom Cioca","Timisoara","Romania","",\N,46.436,24.4445,280,2,"E","Europe/Bucharest" +8158,"Aeroclub Cioca","Timisoara","Romania","CIO","LRT2",45.471009,21.111967,280,2,"E","Europe/Bucharest" +8159,"Crocodile Camp Air Strip","Tsavo East","Kenya","",\N,-3.0764,39.2428,0,3,"U","Africa/Nairobi" +8160,"Crocodile Camp Air Strip","Tsavo East","Kenya","",\N,-3.0764,39.2428,0,3,"U","Africa/Nairobi" +8161,"Cleveland Clinic","Cleveland","United States","","CCLN",41.50225,-81.62233,0,-5,"A","America/New_York" +8162,"Charlevoix Municipal Airport","Charelvoix","United States","CVX","KCVX",45.3047778,-85.2753333,669,-5,"A","America/New_York" +8163,"Quincy Municipal Airport","Quincy","United States","2J9",\N,30.5978708,-84.557425,225,-5,"A","America/New_York" +8164,"Pferdsfeld","Pferdsfeld","Germany","","ETSP",49.857778,7.604167,492,1,"E","Europe/Berlin" +8165,"Mykines Heliport","Mykines","Faroe Islands","","EKMS",62.1021,-7.6459,112,0,"E","Atlantic/Faeroe" +8166,"V-A Waterfront","Cape Town","South Africa","",\N,-33.901161,18.425896,0,2,"N","Africa/Johannesburg" +8167,"Steenberg Helipad","Cape Town","South Africa","",\N,-34.070582,18.424067,50,2,"N","Africa/Johannesburg" +8168,"Steenberg Helipad","Cape Town","South Africa","",\N,-34.070582,18.424067,50,2,"N","Africa/Johannesburg" +8170,"Roche Harbor Seaplane Base","Roche Harbor","United States","RCE",\N,48.608056,-123.159722,0,-8,"A","America/Los_Angeles" +8171,"Blakely Island Airport","Blakely Island","United States","BYW",\N,48.56025,-122.80243,0,-8,"A","America/Los_Angeles" +8172,"Rosario Seaplane Base","Rosario","United States","RSJ",\N,48.645556,-122.868056,0,-8,"A","America/Los_Angeles" +8173,"Westsound Seaplane Base","Westsound","United States","WSX",\N,48.617778,-122.952778,0,-8,"A","America/Los_Angeles" +8174,"Friday Harbor Seaplane Base","Friday Harbor","United States","FBS",\N,48.537222,-123.009722,0,-8,"A","America/Los_Angeles" +8175,"Big Bay Water Aerodrome","Big Bay","Canada","YRR",\N,50.4,-125.133333,0,-8,"A","America/Vancouver" +8176,"Furnace Creek","Death Valley National Park","United States","L06",\N,36.273,-116.515,0,-8,"A","America/Los_Angeles" +8177,"Cornwall Regional Airport","Cornwall","Canada","YCC","CYCC",45.092778,-74.567778,175,-5,"A","America/Toronto" +8178,"Seppe","Bosschenhoofd","Netherlands","","EHSE",51.3317,4.339,30,1,"E","Europe/Brussels" +8179,"St.Stephan","St.Stephan","Switzerland","","LSTS",46.497442,7.412572,3304,1,"E","Europe/Zurich" +8180,"Zona da Mata Regional Airport","Juiz de Fora","Brazil","IZA","SDZY",-21.5130558014,-43.1730575562,1348,-3,"S","America/Sao_Paulo" +8181,"Aeroclub Ghimbav","Brasov","Romania","","LRBG",45.4153,25.3137,1743,2,"E","Europe/Bucharest" +8182,"Flagler County Airport","Flagler","United States","XFL","KXFL",29.2821,-81.1212,33,-5,"A","America/New_York" +8183,"Aeroclub Deva","Deva","Romania","DVA",\N,45.5153,22.5813,615,2,"U","Europe/Bucharest" +8184,"Aeroclub Cluj","Dezmir","Romania","DZM",\N,46.4643,23.4258,1019,2,"U","Europe/Bucharest" +8185,"Antarctica","Antarctica","Antarctica","",\N,-66,90,8000,12,"U","Antarctica/South_Pole" +8186,"Antarctica","Antarctica","Antarctica","",\N,-66,90,8000,12,"N","Antarctica/South_Pole" +8187,"Morrisville Stowe State Airport","Morrisville","United States","MVL","KMVL",44.535,-72.614,732,-5,"A","America/New_York" +8188,"Dallas Executive Airport","Dallas","United States","RBD","KRBD",32.680833,-96.868333,201,-6,"A","America/Chicago" +8189,"Como Water AD","Como","Italy","","LILY",45.4853,9.0411,663,1,"E","Europe/Rome" +8190,"Superficie Cielo Blu","Vellezzo Bellini","Italy","",\N,45.283855,9.111979,350,1,"E","Europe/Rome" +8191,"Welke Airport","Beaver Island","United States","6Y8",\N,45.721111,-85.520278,664,-5,"A","America/New_York" +8192,"Krainiy","Baikonur","Kazakhstan","","UAOL",45.6183,63.2144,328,6,"U","Asia/Qyzylorda" +8193,"MOW","Moscow","Russia","MOW",\N,55.7557,37.6176,0,4,"N","Europe/Moscow" +8194,"Westerly State Airport","Washington County","United States","WST","KWST",41.349722,-71.803333,81,-5,"A","America/New_York" +8195,"Block Island State Airport","Block Island","United States","BID","KBID",41.168056,-71.577778,108,-5,"A","America/New_York" +8196,"Atmautluak Airport","Atmautluak","United States","",\N,60.866667,-162.273056,18,-9,"A","America/Anchorage" +8197,"Atmautluak Airport","Atmautluak","United States","",\N,60.866667,-162.273056,18,-9,"A","America/Anchorage" +8198,"Atmautluak Airport","Atmautluak","United States","369",\N,60.866667,-162.273056,18,-9,"A","America/Anchorage" +8199,"Nightmute Airport","Nightmute","United States","NME","PAGT",60.471111,-164.700833,4,-9,"A","America/Anchorage" +8200,"Toksook Bay Airport","Toksook Bay","United States","OOK","PAOO",60.541389,-165.087222,59,-9,"A","America/Anchorage" +8201,"Tununak Airport","Tununak","United States","TNK",\N,60.575556,-165.271667,14,-9,"A","America/Anchorage" +8202,"Goodnews Airport","Goodnews Bay","United States","GNU",\N,59.1175,-161.5775,15,-9,"A","America/Anchorage" +8203,"Newtok Airport","Newtok","United States","WWT",\N,60.939167,-164.641111,25,-9,"U","America/Anchorage" +8204,"Achutupo Airport","Achutupo","Panama","ACU",\N,9.2,-77.98,0,-5,"U","America/Panama" +8205,"Tubuala Airport","Tubuala","Panama","TUW",\N,9.52,-79.03,0,-5,"U","America/Panama" +8206,"Garachine Airport","Garachine","Panama","GHE",\N,8.06,-78.36,0,-5,"U","America/Panama" +8207,"Mulatupo Airport","Mulatupo","Panama","MPP",\N,8.95,-77.75,0,-5,"U","America/Panama" +8208,"Ittoqqortoormiit Heliport","Ittoqqortoormiit","Greenland","OBY","BGSC",70.485278,-21.966667,238,-1,"U","America/Scoresbysund" +8209,"Vinnitsa","Vinnitsa","Ukraine","VIN","UKWW",49.2433,28.6063,900,2,"E","Europe/Kiev" +8210,"Gent Sint-Pieters","Gent","Belgium","",\N,51.0352,3.7097,130,1,"E","Europe/Brussels" +8211,"Brugge","Bruges","Belgium","",\N,51.1972,3.2172,120,1,"E","Europe/Brussels" +8212,"Brugge","Bruges","Belgium","",\N,51.1972,3.2172,130,1,"E","Europe/Brussels" +8213,"Shin-yokohama-eki","Yokohama","Japan","",\N,35.5075,139.6175,50,9,"N","Asia/Tokyo" +8214,"Angers St Laud","Angers","France","QXG",\N,47.464714,-0.556405,300,1,"E","Europe/Paris" +8215,"Decatur County Industrial Air Park","Bainbridge","United States","BGE","KBGE",30.9715981,-84.6369278,141,-5,"A","America/New_York" +8216,"La Romaine Airport","La Romaine","Canada","","CTT5",50.257222,-60.669167,90,-4,"A","America/Blanc-Sablon" +8217,"Kegaska Airport","Kegaska","Canada","ZKG","CTK6",50.195833,-61.265833,32,-4,"A","America/Blanc-Sablon" +8218,"Black Tickle Airport","Black Tickle","Canada","YBI","CCE4",53.47,-55.7875,57,-4,"A","America/Halifax" +8219,"Silver Springs Airport","Silver Springs","United States","SPZ","KSPZ",39.4030278,-119.2511944,4269,-8,"A","America/Los_Angeles" +8220,"Whiteman Airport","Los Angeles","United States","WHP","KWHP",34.2593253,-118.4134331,1003,-8,"A","America/Los_Angeles" +8221,"Madera Municipal Airport","Madera","United States","MAE","KMAE",36.9886111,-120.1124444,255,-8,"A","America/Los_Angeles" +8222,"Mountain Home Municipal Airport","Mountain Home","United States","U76",\N,43.1316111,-115.7305671,3167,-7,"A","America/Denver" +8223,"Trail Airport","Trail","Canada","YZZ","CAD4",49.055556,-117.609167,1427,-8,"A","America/Vancouver" +8224,"Victoria Airport Water Aerodrome","Patricia Bay","Canada","","CAP5",48.65,-123.45,0,-8,"A","America/Vancouver" +8225,"Arctic Bay Airport","Arctic Bay","Canada","YAB","CJX7",73.006389,-85.047222,72,-6,"A","America/Winnipeg" +8226,"Hope Bay Aerodrome","Hope Bay","Canada","","CHB3",68.163889,-106.614444,125,-7,"A","America/Edmonton" +8227,"Hector Silva Airstrip","Belmopan","Belize","BCV",\N,17.269444,-88.776111,50,-6,"U","America/Belize" +8228,"Grand-Santi Airport","Grand-Santi","French Guiana","","SOGS",4.283333,-54.381111,186,-3,"S","America/Cayenne" +8229,"Maripasoula Airport","Maripasoula","French Guiana","MPY","SOOA",3.6575,-54.037222,377,-3,"S","America/Cayenne" +8230,"Saint-Laurent-du-Maroni Airport","Saint-Laurent-du-Maroni","French Guiana","LDX","SOOM",5.483056,-54.034444,17,-3,"S","America/Cayenne" +8231,"Cayana Airstrip","Cayana","Suriname","AAJ",\N,3.898611,-55.577778,50,-3,"S","America/Paramaribo" +8232,"Laduani Airstrip","Laduani","Suriname","LDO",\N,4.3754,-55.4075,50,-3,"S","America/Paramaribo" +8233,"Kanas Airport","Burqin","China","KJI","ZWKN",48.221111,86.998056,3900,8,"U","Asia/Chongqing" +8234,"Capurgana Airport","Capurgana","Colombia","CPB","SKCA",8.616667,-77.333333,100,-5,"S","America/Bogota" +8235,"Sohag International","Sohag","Egypt","HMB","HEMK",26.341189,31.742983,859,2,"E","Africa/Cairo" +8236,"Rivera International Airport","Rivera","Uruguay","RVY","SURV",-30.974444,-55.476111,712,-3,"S","America/Montevideo" +8237,"Patos de Minas Airport","Patos de Minas","Brazil","POJ","SNPD",-18.672778,-46.491111,851,-3,"S","America/Sao_Paulo" +8238,"Bauru-Arealva","Bauru","Brazil","JTC","SJTC",-22.157778,-49.068333,594,-3,"S","America/Sao_Paulo" +8239,"Ourilandia do Norte Airport","Ourilandia do Norte","Brazil","OIA","SDOW",-6.763056,-51.05,229,-4,"S","America/Boa_Vista" +8240,"Redencao Airport","Redencao","Brazil","RDC","SNDC",-8.033333,-49.98,669,-4,"S","America/Boa_Vista" +8241,"Sao Felix do Xingu Airport","Sao Felix do Xingu","Brazil","SXX","SNFX",-6.641389,-51.952222,656,-4,"S","America/Boa_Vista" +8242,"Bonito Airport","Bointo","Brazil","BYO","SJDB",-21.247222,-56.4525,1180,-4,"S","America/Campo_Grande" +8243,"Sao Felix do Araguaia Airport","Sao Felix do Araguaia","Brazil","SXO","SWFX",-11.6325,-50.689444,650,-4,"S","America/Campo_Grande" +8244,"Carlos Alberto da Costa Neves Airport","Cacador","Brazil","CFC","SBCD",-26.788333,-50.939722,3376,-3,"S","America/Sao_Paulo" +8245,"Carauari Airport","Carauari","Brazil","CAF","SWCA",-4.871389,-66.8975,354,-4,"S","America/Boa_Vista" +8246,"Porto Urucu","Porto Urucu","Brazil","","SWUY",-4.884167,-65.355556,210,-4,"S","America/Boa_Vista" +8247,"Amaury Feitosa Tomaz Airport","Eirunepe","Brazil","ERN","SWEI",-6.639444,-69.879722,412,-4,"S","America/Boa_Vista" +8248,"Concordia Airport","Concordia","Brazil","CCI","SSCK",-27.180556,-52.052778,2461,-3,"S","America/Sao_Paulo" +8249,"Paulo Abdala Airport","Francisco Beltrao","Brazil","FBE","SSFB",-26.059167,-53.063333,2100,-3,"S","America/Sao_Paulo" +8250,"Confresa Airport","Confresa","Brazil","CFO","SJHG",-10.633611,-51.567222,250,-4,"S","America/Campo_Grande" +8251,"Jackson County Airport","Jefferson","United States","19A",\N,34.1758638,-83.5615972,951,-5,"U","America/New_York" +8252,"Apalachicola Regional Airport","Apalachicola","United States","AAF","KAAF",29.7276066,-85.0274416,20,-5,"A","America/New_York" +8253,"Orlando de Carvalho Airport","Umuarama","Brazil","UMU","SSUM",-23.798611,-53.313611,1558,-3,"S","America/Sao_Paulo" +8254,"Diamantina Airport","Diamantina","Brazil","DTI","SNDT",-18.231944,-43.650278,4446,-3,"S","America/Sao_Paulo" +8255,"Fonte Boa Airport","Fonte Boa","Brazil","FBA","SWOB",-2.5325,-66.083333,207,-4,"S","America/Boa_Vista" +8256,"Senadora Eunice Micheles Airport","Sao Paulo de Olivenca","Brazil","OLC","SDCG",-3.465556,-68.918889,335,-4,"S","America/Boa_Vista" +8257,"Humaita Airport","Humaita","Brazil","HUW","SWHT",-7.532222,-63.072222,230,-4,"S","America/Boa_Vista" +8258,"Tapuruquara Airport","Santa Isabel do Rio Negro","Brazil","IRZ","SWTP",-0.416944,-65.033889,223,-4,"S","America/Boa_Vista" +8259,"Oriximina Airport","Oriximina","Brazil","ORX","SNOX",-1.714167,-55.836111,262,-4,"S","America/Boa_Vista" +8260,"Una-Comandatuba Airport","Una","Brazil","UNA","SBTC",-15.355278,-38.998889,20,-3,"S","America/Fortaleza" +8261,"Algeciras Heliport","Algeciras","Spain","",\N,36.128889,-5.441111,98,1,"E","Europe/Madrid" +8262,"Algeciras Heliport","Algeciras","Spain","",\N,36.128889,-5.441111,98,1,"E","Europe/Madrid" +8263,"Kai Tak International Airport ","Hong Kong","Hong Kong","",\N,22.3177,114.202,30,8,"U","Asia/Hong_Kong" +8264,"Kai Tak International Airport ","Hong Kong","Hong Kong","",\N,22.3177,114.202,30,8,"U","Asia/Hong_Kong" +8265,"Telfer Airport","Telfer","Australia","TEF","YTEF",-21.713057,122.21222,970,8,"N","Australia/Perth" +8266,"Gazipasa Airport","Alanya","Turkey","GZP","LTFG",36.2993,32.3014,92,2,"E","Europe/Istanbul" +8267,"FOB Shank","Shank","Afghanistan","","OASH",33.921369,69.07813,6614,4.5,"N","Asia/Kabul" +8268,"St. Augustine Airport","St. Augustine","United States","SGJ",\N,29.95925,-81.3397222,10,-5,"A","America/New_York" +8269,"Londolozi","Londolozi","South Africa","LDZ",\N,-24.8333,31.5,3510,2,"N","Africa/Johannesburg" +8270,"Singita Sabi Sands","Sabi Sands","South Africa","",\N,-24.84,31.41,3500,2,"N","Africa/Johannesburg" +8271,"Singita Sabi Sands","Sabi Sands","South Africa","",\N,-24.84,31.41,3500,2,"N","Africa/Johannesburg" +8272,"Singita Sabi Sands","Sabi Sands","South Africa","INY",\N,-24.815,31.42,1200,2,"N","Africa/Johannesburg" +8273,"Douglas Municipal Airport","Douglas","United States","DQH","KDQH",31.4767385,-82.8605664,257,-5,"A","America/New_York" +8274,"St Lucie County International Airport","Fort Pierce","United States","FRP","KFPR",27.497472,-80.372638,23,-5,"A","America/New_York" +8275,"Alexandria","Alexandria","United States","ALX","ALX_",38.806346,-77.0621,1,-5,"A","America/New_York" +8276,"Taunton Municipal Airport - King Field","Taunton","United States","TAN","KTAN",41.8744017,-71.0166453,43,-5,"A","America/New_York" +8277,"Plymouth Municipal Airport","Plymouth","United States","PYM","KPYM",41.9090278,-70.7287778,148,-5,"A","America/New_York" +8278,"Quonset State Airport","North Kingstown","United States","OQU","KOQU",41.5971389,-71.4121389,18,-5,"A","America/New_York" +8279,"Mansfield Municipal","Mansfield","United States","1B9",\N,42.0001331,-71.1967714,122,-5,"A","America/New_York" +8280,"Norwood Memorial Airport","Norwood","United States","OWD","KOWD",42.1905278,-71.1729444,49,-5,"A","America/New_York" +8281,"Barnes Municipal","Westfield","United States","BAF","KBAF",42.1579472,-72.715875,270,-5,"A","America/New_York" +8282,"Windham Airport","Willimantic","United States","IJD","KIJD",41.7440278,-72.1802222,246,-5,"A","America/New_York" +8283,"Orange County Airport","Montgomery","United States","MGJ","KMGJ",41.5099884,-74.2646444,364,-5,"A","America/New_York" +8284,"Capital City Airport","Harrisburg","United States","CXY","KCXY",40.2171389,-76.8513611,347,-5,"A","America/New_York" +8285,"Marshfield Municipal Airport","Marshfield","United States","GHG","KGHG",42.09825,-70.6721389,9,-5,"A","America/New_York" +8286,"Danbury Municipal Airport","Danbury","United States","DXR","KDXR",41.3715353,-73.4821906,458,-5,"A","America/New_York" +8287,"Boire Field Airport","Nashua","United States","ASH","KASH",42.78175,-71.5147778,199,-5,"A","America/New_York" +8288,"Lawrence Municipal Airport","Lawrence","United States","LWM","KLWM",42.7171944,-71.1234167,148,-5,"A","America/New_York" +8289,"Waterbury-Oxford Airport","Oxford","United States","OXC","KOXC",41.4785556,-73.13525,726,-5,"A","America/New_York" +8290,"Fitchburg Municipal Airport","Fitchburg","United States","FIT","KFIT",42.5541111,-71.7589722,348,-5,"A","America/New_York" +8291,"Stockmar Airport","Villa Rica","United States","","20GA",33.7565556,-84.8850625,1110,-5,"A","America/New_York" +8292,"Cartersville Airport","Cartersville","United States","VPC","KVPC",34.1231475,-84.8487067,759,-5,"A","America/New_York" +8293,"Centre-Piedmont-Cherokee County Regional Airport","Centre","United States","PYP","KPYP",34.0899167,-85.6100833,595,-6,"A","America/Chicago" +8294,"Richard B Russell Airport","Rome","United States","RMG","KRMG",34.3507778,-85.1586667,664,-5,"A","America/New_York" +8295,"Northeast Alabama Regional Airport","Gadsden","United States","GAD","KGAD",33.9726489,-86.0890834,569,-6,"A","America/Chicago" +8296,"Knoxville Downtown Island Airport","Knoxville","United States","DKX","KDKX",35.9638333,-83.8736667,833,-5,"A","America/New_York" +8297,"Barrow County Airport","Winder","United States","WDR","KWDR",33.9828611,-83.6674167,943,-5,"A","America/New_York" +8298,"Plantation Airpark","Sylvania","United States","JYL","KJYL",32.6452778,-81.5971111,188,-5,"A","America/New_York" +8299,"Dalton Municipal Airport","Dalton","United States","DNN","KDNN",34.7229444,-84.87025,709,-5,"A","America/New_York" +8300,"West Georgia Regional Airport - O V Gray Field","Carrollton","United States","CTJ","KCTJ",33.6316964,-85.1522641,1165,-5,"A","America/New_York" +8301,"Isbell Field Airport","Fort Payne","United States","4A9",\N,34.4736944,-85.7213889,877,-6,"A","America/Chicago" +8302,"LaGrange-Callaway Airport","LaGrange","United States","LGC","KLGC",33.0088611,-85.0726111,694,-5,"A","America/New_York" +8303,"Baldwin County Airport","Milledgeville","United States","MLJ","KMLJ",33.154225,-83.2414139,385,-5,"A","America/New_York" +8304,"Polk County Airport - Cornelius Moore Field","Cedartown","United States","4A4",\N,34.0186944,-85.1464722,974,-5,"A","America/New_York" +8305,"Harris County Airport","Pine Mountain","United States","PIM","KPIM",32.8406944,-84.8824444,902,-5,"A","America/New_York" +8306,"Atlanta Regional Airport - Falcon Field","Atlanta","United States","FFC","KFFC",33.35725,-84.5718333,808,-5,"A","America/New_York" +8307,"Covington Municipal Airport","Covington","United States","9A1",\N,33.6323083,-83.8474472,809,-5,"A","America/New_York" +8308,"Lee Gilmer Memorial Airport","Gainesville","United States","GVL","KGVL",34.272627,-83.8302233,1276,-5,"A","America/New_York" +8309,"Cherokee County Airport","Canton","United States","","KCNI",34.3122175,-84.4221556,1219,-5,"A","America/New_York" +8310,"DeFuniak Springs Airport","DeFuniak Springs","United States","54J",\N,30.7311111,-86.1537778,289,-6,"A","America/Chicago" +8311,"Barwick Lafayette Airport","LaFayette","United States","9A5",\N,34.6884792,-85.2903319,777,-5,"A","America/New_York" +8312,"Harry Clever Field Airport","New Philadelpha","United States","PHD","KPHD",40.4701667,-81.4199444,894,-5,"A","America/New_York" +8313,"Darlington County Jetport","Darlington","United States","UDG","KUDG",34.4493845,-79.8900608,192,-5,"A","America/New_York" +8314,"Hilton Head Airport","Hilton Head Island","United States","HXD","KHXD",32.2243611,-80.6974722,19,-5,"A","America/New_York" +8315,"Gilmer County Airport","Ellijay","United States","49A",\N,34.6282222,-84.5265833,1486,-5,"A","America/New_York" +8316,"Elizabethton Municipal Airport","Elizabethton","United States","0A9",\N,36.3712222,-82.1734167,1593,-5,"A","America/New_York" +8317,"Moton Field Municipal Airport","Tuskegee","United States","06A",\N,32.4605722,-85.6800278,264,-6,"A","America/Chicago" +8318,"Daniel Field Airport","Augusta","United States","DNL","KDNL",33.4665028,-82.0393808,423,-5,"A","America/New_York" +8319,"Foothills Regional Airport","Morganton","United States","MRN","KMRN",35.8202336,-81.6115119,1270,-5,"A","America/New_York" +8320,"Pike County Airport - Hatcher Field","Pikeville","United States","PBX","KPBX",37.5617639,-82.5663889,1473,-5,"A","America/New_York" +8321,"Mallards Landing Airport","Locust Grove","United States","","GA04",33.3656703,-84.1651964,837,-5,"A","America/New_York" +8322,"Toccoa RG Letourneau Field Airport","Toccoa","United States","TOC","KTOC",34.5928117,-83.2963717,996,-5,"A","America/New_York" +8323,"Shaftesbury-Compton Abbas Aerodrome","Shaftesbury","United Kingdom","","EGHA",50.9672,-2.1536,811,0,"U","Europe/London" +8324,"SCC4","MFO","Egypt","",\N,30.524819,34.584025,2037,2,"U","Asia/Jerusalem" +8325,"SCC4","MFO","Egypt","",\N,30.524819,34.584025,2037,2,"E","Asia/Jerusalem" +8326,"SCC4","MFO","Egypt","",\N,30.524819,34.584025,2037,2,"E","Asia/Jerusalem" +8327,"SCC4","MFO","Egypt","",\N,30.524819,34.584025,2037,2,"E","Asia/Jerusalem" +8328,"Poltava","Poltava","Ukraine","PLV","UKHP",49.34261,34.23551,333,2,"U","Europe/Kiev" +8329,"Ferry Port","Calais","France","",\N,50.967536,1.849308,6,1,"E","Europe/Paris" +8330,"Ferry Port","Dover","United Kingdom","",\N,51.126876,1.339747,6,0,"E","Europe/London" +8331,"Aweil Airport","Aweil","Sudan","","HSAW",8.77,27.3975,1394,3,"U","Africa/Juba" +8332,"Wau Airport","Wau","Sudan","WUU","HSWW",7.725,27.98,1420,3,"U","Africa/Juba" +8333,"Humera Airport","Humera","Ethiopia","HUE","HAHU",14.3,36.616667,1500,3,"U","Africa/Asmera" +8334,"Moyale Airport","Moyale","Kenya","OYL","HKMY",3.465,39.105,2790,3,"U","Africa/Nairobi" +8335,"Zagora Airport","Zagora","Morocco","","GMAZ",30.330556,-5.838056,1500,0,"U","Africa/Casablanca" +8336,"Yengema Airport","Yengema","Sierra Leone","WYE","GFYE",8.615308,-11.047192,1300,0,"U","Africa/Freetown" +8337,"Gbangbatok Airport","Gbangbatok","Sierra Leone","GBK","GFGK",7.767,-12.383,500,0,"U","Africa/Freetown" +8338,"Hong Kong China Ferry Terminal","Hong Kong","Hong Kong","",\N,22.299204,114.166164,0,8,"N","Asia/Hong_Kong" +8339,"Tampa Executive Airport","Tampa","United States","VDF",\N,28.0139772,-82.3452778,22,-5,"A","America/New_York" +8340,"UOTT","Turukhansk","Russia","","UOTT",65.46,87.53,125,8,"N","Asia/Krasnoyarsk" +8341,"Podkamennaya Tunguska","Bor","Russia","","UNIP",61.34,89.56,213,8,"N","Asia/Krasnoyarsk" +8342,"Fort Worth Alliance Airport","Fort Worth","United States","AFW","KAFW",32.987778,-97.318889,722,-6,"A","America/Chicago" +8343,"East Troy Municipal Airport","East Troy","United States","57C","K57C",42.7971667,-88.3726111,860,-6,"A","America/Chicago" +8344,"Kolpashevo Airport","Kolpashevo","Russia","","UNLL",58.3333,82.9333,243,7,"N","Asia/Omsk" +8345,"Montgomery Field","San Diego","United States","MYF","NULL",32.4759,117.759,17,8,"A","Asia/Chongqing" +8346,"Gimpo International Airpot","Seoul","South Korea","SEL",\N,37.558311,126.790586,58,9,"N","Asia/Seoul" +8347,"Ali Al Salem Air Base","Kuwait","Kuwait","","OKAS",29.346742,47.520753,472,3,"A","Asia/Kuwait" +8348,"Renmark","Renmark","Australia","RMK","YREN",-34.118,140.404,115,9.5,"O","Australia/Adelaide" +8349,"Leigh Creek","Leigh Creek","Australia","","YLEC",-30.598333,138.425833,856,9.5,"O","Australia/Adelaide" +8350,"Warburton","Warburton Community","Australia","","YWBR",-26.128333,126.583333,1500,8,"O","Australia/Perth" +8351,"Cunderdin","Cunderdin","Australia","","YCUN",-31.622223,117.216667,705,8,"O","Australia/Perth" +8352,"Rottnest Island","Rottnest Island","Australia","","YRTI",-32.006667,115.539722,12,8,"O","Australia/Perth" +8353,"Forrest","Forrest","Australia","","YFRT",-30.838056,128.115,511,8,"O","Australia/Perth" +8354,"Ballarat","Ballarat","Australia","","YBLT",-37.511667,143.791111,1433,10,"O","Australia/Hobart" +8355,"Keewaywin","Keewaywin","Canada","KEW","CPV8",52.991111,-92.836389,988,-6,"A","America/Winnipeg" +8356,"Marathon","Marathon","Canada","YSP","CYSP",48.755278,-86.344444,1035,-5,"A","America/Toronto" +8357,"Rene Fontaine","Hearst","Canada","YHF","CYHF",49.713889,-83.686944,826,-5,"A","America/Toronto" +8358,"Hornepayne","Hornepayne","Canada","YHN","CYHN",49.193056,-84.758889,1099,-5,"A","America/Toronto" +8359,"Kirkland Lake","Kirkland Lake","Canada","YKX","CYKX",48.210278,-79.981389,1157,-5,"A","America/Toronto" +8360,"Manitouwadge","Manitouwadge","Canada","YMG","CYMG",49.083889,-85.860556,1198,-5,"A","America/Toronto" +8361,"Wawa","Wawa","Canada","YXZ","CYXZ",47.966944,-84.786389,944,-5,"A","America/Toronto" +8362,"Manitoulin East","Manitowaning","Canada","YEM","CYEM",45.8425,-81.8575,869,-5,"A","America/Toronto" +8363,"Slate Falls","Slate Falls","Canada","","CKD9",51.13,-91.665556,1355,-6,"A","America/Winnipeg" +8364,"Collingwood","Collingwood","Canada","","CNY3",44.449167,-80.158333,730,-5,"A","America/Toronto" +8365,"Brantford","Brantford","Canada","YFD","CYFD",43.131389,-80.3425,815,-5,"A","America/Toronto" +8366,"Lawrence Municipal","Lawrence","United States","LWC","KLWC",39.009167,-95.2175,833,-6,"A","America/Chicago" +8367,"Wellington Municipal","Wellington","United States","EGT","KEGT",37.39411,-97.423225,1277,-6,"A","America/Chicago" +8368,"Isla San Jose","Isla San Jose","Panama","",\N,8.252,-79.0668,150,-5,"N","America/Panama" +8369,"Griffin-Spalding County Airport","Griffin","United States","6A2",\N,33.2269722,-84.2749444,958,-5,"A","America/New_York" +8370,"Dieu Merci","Saint-Elie","French Guiana","",\N,4.7828,-53.2611,253,-3,"N","America/Cayenne" +8371,"DEGRA","REMIRE-MONTJOLY","French Guiana","",\N,4.8708,52.2783,33,-3,"N",\N +8372,"Herapel","Morsbach","France","",\N,49.1606,6.8649,840,1,"E","Europe/Paris" +8373,"Degrad des Cannes","REMIRE-MONTJOLY","French Guiana","",\N,4.8708,-52.2783,33,-3,"N","America/Cayenne" +8374,"Elysee","Elysee","French Guiana","",\N,4.75,-54.05,100,-3,"N","America/Cayenne" +8375,"Citron","Citron","French Guiana","",\N,4.7301,-53.9516,100,-3,"N","America/Cayenne" +8376,"Yaou","Maripasoula","French Guiana","",\N,3.7243,-53.9747,300,-3,"N","America/Cayenne" +8377,"Helicojyp","REMIRE-MONTJOLY","French Guiana","",\N,4.8936,-52.2922,39,-3,"N","America/Cayenne" +8378,"Nicosia International Airport","Nicosia","Cyprus","NIC",\N,35.15111,33.27222,0,2,"E","Asia/Nicosia" +8379,"Pompano Beach Airpark","Pompano Beach","United States","PMP","KPMP",26.2471389,-80.1110556,19,-5,"A","America/New_York" +8380,"Mallacoota Airport","Mallacoota","Australia","XMC","YMCO",-37.598301,149.720001,31,10,"U","Australia/Hobart" +8381,"Prince Abdul Majeed Airport","Al-Ula","Saudi Arabia","ULH","OEAO",26.636718,37.908018,2047,3,"N","Asia/Riyadh" +8382,"Pogapa Airstrip","Pogapa","Indonesia","",\N,-3.7518,136.842481,6060,9,"N","Asia/Jayapura" +8383,"Pogapa Airstrip","Pogapa","Indonesia","",\N,-3.7518,136.842481,6060,9,"N","Asia/Jayapura" +8384,"Greyhound Station","Washington DC","United States","","DCBS",38.90339,-77.00583,0,-5,"A","America/New_York" +8385,"Roma Street Railway Station","Brisbane","Australia","",\N,-27.4666667,-153.0166667,100,10,"N",\N +8386,"Roma Street Railway Station","Brisbane","Australia","",\N,-27.4666667,153.0166667,100,10,"N","Australia/Brisbane" +8387,"Rockhampton Railway Station","Rockhampton","Australia","",\N,-23.378941,150.512323,100,10,"N","Australia/Brisbane" +8388,"Sydney Terminal Railway Station","Sydney","Australia","",\N,-33.88373,151.20592,100,10,"O","Australia/Sydney" +8389,"Melbourne Southern Cross Railway Station","Melbourne","Australia","",\N,-37.8181602,144.9533883,111,10,"O","Australia/Hobart" +8390,"Nambour Railway Station","Nambour","Australia","",\N,-26.617353,152.973785,400,10,"N","Australia/Brisbane" +8391,"Bundaberg Railway Station","Bundaberg","Australia","",\N,-24.867837,152.349416,100,10,"U","Australia/Brisbane" +8392,"Hung Hom Railway Station","Hong Kong","Hong Kong","",\N,22.308813,114.169624,100,8,"N","Asia/Hong_Kong" +8393,"Hong Kong Railway Station","Hong Kong","Hong Kong","",\N,22.2846291082599,114.158227443695,100,8,"N","Asia/Hong_Kong" +8394,"Shelby County Airport","Alabaster","United States","EET","KEET",33.1777778,-86.7832222,586,-6,"A","America/Chicago" +8395,"Yuendumu ","Yuendumu ","Australia","YUE","YYND",-22.254167,131.781944,2205,9.5,"O","Australia/Darwin" +8396,"Gare de Strasbourg","Strasbourg","France","XWG",\N,48.585068,7.734547,475,1,"E","Europe/Paris" +8397,"Sky Ranch at Carefree","Carefree","United States","","18AZ",33.8180947,-111.8979242,2568,-7,"N","America/Phoenix" +8398,"St Peter and St Paul Fortress","St. Petersburg","Russia","",\N,59.951443,30.313831,30,4,"N","Europe/Moscow" +8399,"Guangzhou South Railway Station","Guangzhou","China","GZS",\N,22.990081,113.270631,1,8,"U","Asia/Chongqing" +8400,"Oddballs Camp Private Airstrip","Okavango Oddballs Camp","Botswana","",\N,-19.531281,23.091847,3133,2,"N","Africa/Gaborone" +8401,"Lombok International Airport","Praya","Indonesia","LOP","WADL",-8.7573222,116.276675,52,8,"N","Asia/Makassar" +8402,"Marmul","Marmul","Oman","OMM","OONR",18.133333,55.266666,900,4,"N","Asia/Muscat" +8403,"One Hundred Mile House Airport","One Hundred Mile House","Canada","","CAV3",51.3833,-121.1825,3055,-8,"A","America/Vancouver" +8404,"South Cariboo Regional Airport","108 Mile Ranch","Canada","ZML","CZML",51.4412,-121.1958,3129,-8,"A","America/Vancouver" +8405,"Glasgow City Heliport","Glasgow","United Kingdom","","EGEG",55.5141,-4.1749,10,0,"E","Europe/London" +8406,"Yarram","Yarram","Australia","","YYRM",-38.56,146.75,200,10,"O","Australia/Hobart" +8407,"Hebei Handan Airport","Handan","China","HDG","ZBHD",36.524,114.43,0,8,"N","Asia/Chongqing" +8408,"Jade Mountain Helipad","Soufriere","Saint Lucia","",\N,13.868921,-61.073596,341,-4,"N","America/St_Lucia" +8409,"Indianapolis Metropolitan Airport","Indianapolis","United States","UMP","KUMP",39.935278,-86.045,811,-5,"A","America/New_York" +8410,"London-Corbin Airport-MaGee Field","London","United States","LOZ","KLOZ",37.0868889,-84.0773889,1212,-5,"A","America/New_York" +8411,"Camden Station","Baltimore","United States","",\N,39.2837181,-76.621634,49,-5,"A","America/New_York" +8412,"Fredericksburg Amtrak Station","Fredericksburg","United States","FBG",\N,38.298416,-77.456875,130,-5,"A","America/New_York" +8413,"Pamalican Airstrip","Cuyo","Philippines","",\N,11.354499,120.730991,0,8,"N","Asia/Manila" +8414,"Warsaw Modlin","Warsaw","Poland","WMI","EPMO",52.451111,20.651667,341,1,"E","Europe/Warsaw" +8415,"Buffalo Bus Terminal","Buffalo","United States","","BBUF",42.883512,-78.87205,0,-5,"A","America/New_York" +8416,"Twelve Apostles Heliport","Princetown","Australia","",\N,-38.665833,143.104444,165,10,"U","Australia/Hobart" +8417,"Jixi Airport","Jixi","China","JXA","ZYJX",45.30611,130.99667,0,8,"N","Asia/Chongqing" +8418,"King St Station","Seattle","United States","","SEAT",47.5985,-122.3299,7,-8,"A","America/Los_Angeles" +8422,"Palatka Amtrak Station","Palatka","United States","",\N,29.649178,-81.640456,16,-5,"A","America/New_York" +8423,"Gimli Industrial Park Airport","Gimli","Canada","YGM","CYGM",50.628056,-97.043333,753,-6,"A","America/Winnipeg" +8424,"Matheson Island Airport","Matheson Island","Canada","",\N,51.732222,-96.934444,725,-6,"A","America/Winnipeg" +8425,"Matheson Island Airport","Matheson Island","Canada","",\N,51.732222,-96.934444,725,-6,"A","America/Winnipeg" +8426,"Matheson Island Airport","Matheson Island","Canada","","CJT2",51.732222,-96.934444,725,-6,"A","America/Winnipeg" +8427,"Tura","Tura","Russia","","UNIT",64.33,100.43,400,8,"N","Asia/Krasnoyarsk" +8428,"Beloyarsky","Beloyarsky","Russia","EYK","USHQ",63.683056,66.683056,25,6,"E","Asia/Yekaterinburg" +8429,"Ypenburg","Ypenburg","Netherlands","","EHYB",52.040376,4.365771,0,1,"E","Europe/Amsterdam" +8430,"John H. Batten Airport","Racine","United States","RAC","KRAC",42.7605,-87.8152,674,-6,"A","America/Chicago" +8431,"Taytay Sandoval","Taytay","Philippines","RZP","RPSD",11.05167,119.5183,75,8,"U","Asia/Manila" +8432,"Gera Leumnitz","Gera","Germany","","EDAJ",50.8814,12.1322,100,1,"E","Europe/Berlin" +8433,"Gera Leumnitz","Gera","Germany","",\N,50.880023,12.132411,100,1,"E","Europe/Berlin" +8434,"Mira Flores","Mira Flores","Colombia","",\N,1.444549,-71.949921,300,-5,"S","America/Bogota" +8435,"Kasimovo","Saint-Petersburg","Russia","","XLLN",60.200059,30.334926,230,4,"N","Europe/Moscow" +8436,"Otaru","Otaru","Japan","QOT",\N,43.1894444,141.0022222,0,9,"N","Asia/Tokyo" +8437,"Noboribetsu","Noboribetsu","Japan","",\N,42.46867,141.03833,361,9,"N","Asia/Tokyo" +8438,"Terlet","Arnhem","Netherlands","","EHTL",52.057222,5.924444,276,1,"E","Europe/Amsterdam" +8439,"Schaffen Diest","Schaffen","Belgium","",\N,51.002846,5.060649,100,1,"E","Europe/Brussels" +8440,"Blomberg 3GGW","Blomberg","Germany","",\N,51.930401,9.094285,200,1,"E","Europe/Berlin" +8441,"Buckeburg","Buckeburg","Germany","",\N,52.279764,9.079843,200,1,"E","Europe/Berlin" +8442,"Shigatse Peace Airport","Shigatse","China","RKZ","ZURK",29.351667,89.306944,12408,8,"N","Asia/Chongqing" +8443,"Redlands Municipal Airport","Redlands","United States","REI","KREI",34.08525,-117.146388,1574,-8,"A","America/Los_Angeles" +8444,"Chemehuevi Valley","Chemehuevi Valley","United States","49X",\N,34.528889,-114.431971,638,-8,"A","America/Los_Angeles" +8445,"Flabob Airport","Riverside","United States","RIR","KRIR",33.988778,-117.409971,764,-8,"A","America/Los_Angeles" +8446,"Tacoma Narrows Airport","Tacoma","United States","TIW","KTIW",47.267944,-122.57811,294,-8,"A","America/Los_Angeles" +8447,"Tampa North Aero Park","Tampa","United States","X39",\N,28.221278,-82.374555,68,-5,"A","America/New_York" +8448,"Athuruga","Athuruga","Maldives","",\N,3,72,0,5,"N","Indian/Maldives" +8449,"Athuruga","Athuruga","Maldives","",\N,3,72,0,5,"U","Indian/Maldives" +8450,"Athuruga","Athuruga","Maldives","",\N,3,72,0,5,"U","Indian/Maldives" +8451,"STROE KAZERNE","STROE","Netherlands","",\N,52.198138,5.705802,10,1,"E","Europe/Amsterdam" +8452,"\\'t Harde","Oldebroek","Netherlands","",\N,52.406503,5.898492,10,1,"E","Europe/Amsterdam" +8453,"WERL KAZERNE","WERL","Germany","",\N,51.566907,7.915326,100,1,"E","Europe/Berlin" +8454,"SZEGED","SZEGED","Hungary","",\N,46.252761,20.096519,100,1,"E","Europe/Budapest" +8455,"LAKE WANNSEE","BERLIN","Germany","",\N,52.437517,13.175561,0,1,"E","Europe/Berlin" +8456,"Tenkiller Lake Airpark","COOKSON","United States","",\N,35.705541,-94.933605,150,-6,"U","America/Chicago" +8457,"HOEVENEN","HOEVENEN","Belgium","",\N,51.304111,4.388766,50,1,"E","Europe/Brussels" +8458,"GRAS","HARREVELD","Netherlands","",\N,51.981127,6.516252,50,1,"E","Europe/Amsterdam" +8459,"Muenster-Telgte","TELGTE","Germany","","EDLO",51.944556,7.773292,100,1,"E","Europe/Berlin" +8460,"Jack Edwards Airport","Gulf Shores","United States","JKA","KJKA",30.2896389,-87.6717778,17,-6,"A","America/Chicago" +8461,"General Villamil Airport","Isabela","Ecuador","","SEII",-0.942499999,-90.95305555,35,-6,"N","Pacific/Galapagos" +8462,"Balzers Heliport","Balzers","Switzerland","","LSXB",47.076667,9.5,1585,1,"E","Europe/Vaduz" +8463,"Vieste Heliport","Vieste","Italy","VIF",\N,41.885277,16.176945,46,1,"E","Europe/Rome" +8464,"Alpha","Cork","Ireland","",\N,51.400377,-7.901464,100,0,"U",\N +8465,"Gogld","Island of Gogland","Russia","",\N,60.011662,27.008236,10,3,"U",\N +8466,"HIBER","Offshore","Mexico","",\N,19.398611,-92.016111,100,-6,"U",\N +8467,"Punitz-Guessing","Punitz-Guessing","Austria","","LOGG",47.14833,16.31833,950,1,"E","Europe/Vienna" +8468,"Khmeinitskiy","Khmeinitskiy","Ukraine","HMJ","UKLH",49.366,26.933,351,2,"E","Europe/Kiev" +8469,"Hiroshima-Nishi","Hiroshima","Japan","HIW","RJBH",34.367,132.408,9,9,"N","Asia/Tokyo" +8470,"Annapolis","Annapolis","United States","","ANNA",38.972944,-76.501158,0,-5,"A","America/New_York" +8471,"High River Regional Airport","High River","Canada","",\N,50.3333,-113.833,3431,-7,"A","America/Edmonton" +8472,"Yalata","Yalata","Australia","","YYTA",-31.29,131.51,100,9.5,"O","Australia/Adelaide" +8473,"Hazleton Municipal","Hazleton","United States","HZL","KHZL",40.989167,-76.0025,1603,-5,"A","America/New_York" +8474,"Greater Cumberland Rgnl.","Cumberland","United States","CBE","KCBE",39.615278,-78.760556,775,-5,"A","America/New_York" +8475,"Sugar Loaf Shores Airport","Key West","United States","","7FA1",24.6487544,-81.5798083,4,-5,"A","America/New_York" +8476,"Wyndham","Wyndham","Australia","","YWYM",-15.2857,128.0722,100,8,"U","Australia/Perth" +8477,"Bob Quinn Lake","Bob Quinn Lake","Canada","YBO","CBW4",56.58,-130.5,50,-8,"U","America/Vancouver" +8478,"Songo Songo","Songo Songo Island","Tanzania","",\N,-8.528056,39.506944,1,3,"U","Africa/Dar_es_Salaam" +8479,"Jongomero Camp","Ruaha National Park","Tanzania","",\N,-7.895,34.580853,0,3,"U","Africa/Dar_es_Salaam" +8480,"Msembe Airstrip","Msembe","Tanzania","",\N,-7.686111,35.926944,0,3,"U","Africa/Dar_es_Salaam" +8481,"Fox Glacier Airstrip","Fox Glacier","New Zealand","FGL",\N,-43.4,170.033,475,12,"Z","Pacific/Auckland" +8482,"Grabtsevo","Kaluga","Russia","KLF","UUBS",54.55,36.367,600,4,"E","Europe/Moscow" +8483,"Reykjahlid","Reykjahlid","Iceland","",\N,65.6,-17,100,0,"U","Atlantic/Reykjavik" +8484,"Central Station","Stockholm","Sweden","XEV",\N,59.33,18.058056,10,1,"E","Europe/Stockholm" +8485,"Central Station","Uppsala","Sweden","QYX",\N,59.858333,17.646111,23,1,"E","Europe/Stockholm" +8486,"Centraal","Rotterdam","Netherlands","QRH",\N,51.924444,4.469444,7,1,"E","Europe/Amsterdam" +8487,"Holesovice","Praha","Czech Republic","XYJ",\N,50.11,14.439444,616,1,"E","Europe/Prague" +8488,"Hauptbahnhof","Bonn","Germany","BNJ",\N,50.731944,7.096944,204,1,"E","Europe/Berlin" +8489,"Central","Copenhagen","Denmark","ZGH",\N,55.672778,12.564444,16,1,"E","Europe/Copenhagen" +8490,"Hauptbahnhof","Salzburg","Austria","ZSB",\N,47.813056,13.046667,1391,1,"E","Europe/Vienna" +8491,"Centraal","Antwerp","Belgium","ZWE",\N,51.217222,4.421111,51,1,"E","Europe/Brussels" +8492,"Ellisras","Lephalale","South Africa","ELL","FAEA",-23.666667,27.75,2700,2,"U","Africa/Johannesburg" +8493,"Tri-County Regional Airport","Lone Rock","United States","LNR","KLNR",43.211667,-90.181667,718,-6,"A","America/Chicago" +8494,"Price County Airport","Phillips","United States","","KPBH",45.705,-90.403056,1466,-6,"A","America/Chicago" +8495,"Municipal","Monroe","United States","","KEFT",42.616389,-89.591944,1079,-6,"A","America/Chicago" +8496,"Regional Airport","Joliet","United States","JOT","KJOT",41.517778,-88.175556,582,-6,"A","America/Chicago" +8497,"Illinois Valley Regional","Peru","United States","VYS","KVYS",41.351944,-89.153056,654,-6,"A","America/Chicago" +8498,"Dirk Hartog Island","Dirk Hartog Island","Australia","","YDHD",-26.00937,113.160008,15,8,"O","Australia/Perth" +8499,"Reynolds Field","Jackson","United States","JXN","KJXN",42.260556,-84.460556,1001,-5,"A","America/New_York" +8500,"Flugplatz","Furstenwalde","Germany","","EDAL",52.393889,14.099722,141,1,"E","Europe/Berlin" +8501,"Flugplatz Finow","Eberswalde","Germany","","EDAV",52.827222,13.693611,121,1,"E","Europe/Berlin" +8502,"Joseph A. Hardy Airport","Connellsville","United States","","KVVS",39.959167,-79.657222,1267,-5,"A","America/New_York" +8503,"Bedford County","Bedford","United States","","KHMZ",40.086111,-78.513333,1162,-5,"A","America/New_York" +8504,"Wings Field","Philadelphia","United States","BBX","KLOM",40.1375,-75.265,302,-5,"A","America/New_York" +8505,"County","Okeechobee","United States","OBE","KOBE",27.265833,-80.851111,34,-5,"A","America/New_York" +8506,"Regional - Hendricks AAF","Sebring","United States","SEF","KSEF",27.456389,-81.342222,63,-5,"A","America/New_York" +8507,"Executive","Avon Park","United States","AVO","KAVO",27.591389,-81.528889,160,-5,"A","America/New_York" +8508,"Gilbert Airport","Winter Haven","United States","GIF","KGIF",28.062778,-81.753333,145,-5,"A","America/New_York" +8509,"Municipal Airport","Zephyrhills","United States","ZPH","KZPH",28.228056,-82.155833,90,-5,"A","America/New_York" +8510,"International Airport","Ocala","United States","OCF","KOCF",29.1725,-82.224167,89,-5,"A","America/New_York" +8511,"Jesup-Wayne County Airport","Jesup","United States","JES","KJES",31.553889,-81.8825,107,-5,"A","America/New_York" +8512,"Madison GA Municipal Airport","Madison","United States","52A","K52A",33.612125,-83.4604444,694,-5,"A","America/New_York" +8513,"Coweta County Airport","Newnan","United States","CCO","KCCO",33.3115656,-84.7697554,970,-5,"A","America/New_York" +8514,"McDuffie County Airport","Thomson","United States","HQU","KHQU",33.5297315,-82.5169509,501,-5,"A","America/New_York" +8515,"Municipal Airport","Aiken","United States","AIK","KAIK",33.6493889,-81.6850278,529,-5,"A","America/New_York" +8516,"Woodward Field","Camden","United States","CDN","KCDN",34.2835833,-80.5648611,302,-5,"A","America/New_York" +8517,"Municipal Airport","Lumberton","United States","LBT","KLBT",34.6098056,-79.0595556,125,-5,"A","America/New_York" +8518,"Ridgeland Airport","Ridgeland","United States","3J1",\N,32.4934167,-80.99175,79,-5,"A","America/New_York" +8519,"Moore County Airport","Pinehurst-Southern Pines","United States","SOP","KSOP",35.2376111,-79.3887958,455,-5,"A","America/New_York" +8520,"Richmond County Airport","Rockingham","United States","RCZ","KRCZ",34.8913056,-79.7596111,358,-5,"A","America/New_York" +8521,"Bamberg County Airport","Bamberg","United States","99N",\N,33.3045278,-81.1084167,231,-5,"A","America/New_York" +8522,"Richland Airport","Richland Center","United States","93C",\N,43.2833575,-90.2982819,742,-6,"A","America/Chicago" +8523,"Municipal Airport","Viroqua","United States","Y51",\N,43.5793603,-90.8964742,1292,-6,"A","America/Chicago" +8524,"Baraboo Wisconsin Dells Airport","Baraboo","United States","DLL","KDLL",43.5217843,-89.7709266,979,-6,"A","America/Chicago" +8525,"Foster Field","Apple River","United States","7A4",\N,42.4664444,-90.1693889,990,-6,"A","America/Chicago" +8526,"Regional Airport","Statesville","United States","SVH","KSVH",35.7649958,-80.9538958,968,-5,"A","America/New_York" +8527,"Sylvania Airport","Sturtevant","United States","C89",\N,42.70325,-87.9589722,785,-6,"A","America/Chicago" +8528,"Municipal Airport","Burlington","United States","BUU","KBUU",42.6907171,-88.3046825,780,-6,"A","America/Chicago" +8529,"Stroudsburg-Pocono Airport","East Stroudsburg","United States","N53",\N,41.0358717,-75.1606789,480,-5,"A","America/New_York" +8530,"Spring Hill Airport","Sterling","United States","70N",\N,41.3473569,-75.4158972,1729,-5,"A","America/New_York" +8531,"Randall Airport","Middletown","United States","06N",\N,41.431912,-74.3915611,523,-5,"A","America/New_York" +8532,"William T. Piper Mem.","Lock Haven","United States","LHV","KLHV",41.1357778,-77.4223056,556,-5,"A","America/New_York" +8533,"Grove City Airport","Grove City","United States","29D",\N,41.1460278,-80.16775,1371,-5,"A","America/New_York" +8534,"Lansdowne Airport","Youngstown","United States","04G",\N,41.1304722,-80.6195833,1044,-5,"A","America/New_York" +8535,"Wadsworth Municipal","Wadsworth","United States","3G3",\N,41.0031572,-81.7564401,974,-5,"A","America/New_York" +8536,"Ashland County Airport","Ashland","United States","3G4",\N,40.9029722,-82.2556389,1206,-5,"A","America/New_York" +8537,"Pittsburgh-Monroeville Airport","Monroeville","United States","4G0",\N,40.4526389,-79.7749167,1187,-5,"A","America/New_York" +8538,"Zelienople Municipal Airport","Zelienople","United States","","KPJC",40.8019722,-80.1608611,898,-5,"A","America/New_York" +8539,"Somerset County Airport","Somerset","United States","2G9",\N,40.0388708,-79.0149951,2275,-5,"A","America/New_York" +8540,"Youngstown Elser Metro Airport","Youngstown","United States","4G4",\N,40.9617953,-80.6773264,1070,-5,"A","America/New_York" +8541,"Braceville Airport","Braceville","United States","41N",\N,41.2111675,-80.9692572,900,-5,"A","America/New_York" +8542,"Lorain County Regional Airport","Lorain-Elyria","United States","LPR","KLPR",41.3442778,-82.1776389,793,-5,"A","America/New_York" +8543,"Germack Airport","Geneva","United States","7D9",\N,41.7778322,-80.9039797,820,-5,"A","America/New_York" +8544,"Burke Lakefront Airport","Cleveland","United States","BKL","KBKL",41.5175,-81.683333,583,-5,"A","America/New_York" +8545,"Chautauqua County-Dunkirk Airport","Dunkirk","United States","DKK","KDKK",42.4933353,-79.2720417,693,-5,"A","America/New_York" +8546,"Hamburg Inc Airport","Hamburg","United States","4G2",\N,42.7008925,-78.9147569,751,-5,"A","America/New_York" +8547,"Trenton-Robbinsville Airport","Trenton","United States","N87",\N,40.2139444,-74.6017778,118,-5,"A","America/New_York" +8548,"South Jersey Regional Airport","Mount Holly","United States","VAY","KVAY",39.9428889,-74.84575,53,-5,"A","America/New_York" +8549,"Spitfire Aerodrome","Pedricktown","United States","7N7",\N,39.7355633,-75.3977211,40,-5,"A","America/New_York" +8550,"Linden Airport","Linden","United States","LDJ","KLDJ",40.6174472,-74.2445942,23,-5,"A","America/New_York" +8551,"Morgantown Airport","Morgantown","United States","O03",\N,40.1570414,-75.8704892,600,-5,"A","America/New_York" +8552,"Harford County Airport","Churchville","United States","0W3",\N,39.5668378,-76.2024028,409,-5,"A","America/New_York" +8553,"Tri-State Steuben County Airport","Angola","United States","ANQ","KANQ",41.6396983,-85.0834933,995,-5,"A","America/New_York" +8554,"Plymouth Municipal Airport","Plymouth","United States","C65",\N,41.3651307,-86.3002574,800,-5,"A","America/New_York" +8555,"Warsaw Municipal Airport","Warsaw","United States","","KASW",41.2746944,-85.8400556,850,-5,"A","America/New_York" +8556,"Van Wert County Airport","Van Wert","United States","VNW","KVNW",40.8638295,-84.606358,787,-5,"A","America/New_York" +8557,"Port Bucyrus-Crawford County Airport","Bucyrus","United States","17G",\N,40.7815556,-82.9748056,1003,-5,"A","America/New_York" +8558,"Lake Wales Municipal Airport","Lake Wales","United States","X07",\N,27.8938056,-81.6203889,127,-5,"A","America/New_York" +8559,"Brooks Field Airport","Marshall","United States","RMY","KRMY",42.2511932,-84.9554443,941,-5,"A","America/New_York" +8560,"Genesee County Airport","Batavia","United States","GVQ","KGVQ",43.03175,-78.1696667,914,-5,"A","America/New_York" +8561,"Finger Lakes Regional Airport","Seneca Falls","United States","0G7",\N,42.8835647,-76.7812318,492,-5,"A","America/New_York" +8562,"Stormville Airport","Stormville","United States","N69",\N,41.5769708,-73.7323514,358,-5,"A","America/New_York" +8563,"Robertson Field","Plainville","United States","4B8",\N,41.6893333,-72.8646944,202,-5,"A","America/New_York" +8564,"Williams County Airport","Bryan","United States","0G6",\N,41.4673056,-84.5067778,730,-5,"A","America/New_York" +8565,"Clearwater Air Park","Clearwater","United States","CLW","KCLW",27.9764722,-82.7586667,70,-5,"A","America/New_York" +8566,"South Lakeland Airport","Lakeland","United States","X49",\N,27.9333581,-82.0439739,110,-5,"A","America/New_York" +8567,"Scatsta Airport","Scatsta","United Kingdom","SCS",\N,60.433,-1.3,0,0,"U","Europe/London" +8568,"North Sea","Buchan Alpha","United Kingdom","",\N,57.9039,0.0319,0,0,"U",\N +8569,"North Sea","Buchan Alpha","United Kingdom","",\N,57.9039,0.0319,0,0,"U",\N +8570,"North Sea","Claymore","United Kingdom","","CLAA",58.4494,-0.2536,0,0,"U",\N +8571,"North Sea","FPSO Anasuria","United Kingdom","","ANAS",57.1524,0.0483,0,0,"U",\N +8572,"North Sea","BP Bruce","United Kingdom","","BRU1",58.44,2.33,0,0,"U",\N +8573,"North Sea","Buchan Alpha","United Kingdom","","BUCA",57.9039,0.0319,0,0,"U",\N +8574,"North Sea","Buzzard","United Kingdom","","BUZZ",56.8,0.766,0,0,"U",\N +8575,"North Sea","Clyde","United Kingdom","","CLY1",56.45,2.2833,0,0,"U",\N +8576,"North Sea","Cormorant Alpha","United Kingdom","","COA1",61.2333,-1.15,0,0,"U",\N +8577,"North Sea","Forties Alpha","United Kingdom","","FA08",57.7167,-1.0167,0,0,"U",\N +8578,"North Sea","Forties Charlie","United Kingdom","","FC08",57.7167,-1.0167,0,0,"U",\N +8579,"North Sea","Fulmar","United Kingdom","","FUA1",56.48,2.13,0,0,"U",\N +8580,"North Sea","Gannet Alpha","United Kingdom","","GAA1",57.3,1.2,0,0,"U",\N +8581,"North Sea","Montrose Alpha","United Kingdom","","MOA1",57.4506,1.3883,0,0,"U",\N +8582,"North Sea","Tern","United Kingdom","","TEA1",61.3333,0.8333,0,0,"U",\N +8583,"Atlantic Ocean","FPSO Xikomba","Angola","","XKSO",-6.0333,11.0166,0,0,"U",\N +8584,"Zoo","Berlin","Germany","QWC",\N,52.507222,13.3325,120,1,"E","Europe/Berlin" +8585,"Frankfurt Oder Hbf","Frankfurt Oder","Germany","ZFR",\N,52.336944,14.547222,177,1,"E","Europe/Berlin" +8586,"Gare de Lyon","Paris","France","PLY",\N,48.844722,2.373611,129,1,"E","Europe/Paris" +8587,"Gare de LEst","Paris","France","XHP",\N,48.876944,2.359167,149,1,"E","Europe/Paris" +8588,"All Airports","Paris","France","PAR",\N,48.856389,2.352222,107,1,"E","Europe/Paris" +8589,"Ostbahnhof","Berlin","Germany","BHF",\N,52.51,13.434722,135,1,"E","Europe/Berlin" +8590,"All Airports","London","United Kingdom","LON",\N,51.508056,-0.127778,66,0,"E","Europe/London" +8591,"All Airports","New York","United States","NYC",\N,40.714167,-74.005833,31,-5,"A","America/New_York" +8592,"All Airports","Chicago","United States","CHI",\N,41.883611,-87.631667,596,-6,"A","America/Chicago" +8593,"Meigs Field","Chicago","United States","CGX","KCGX",41.860278,-87.609722,585,-6,"A","America/Chicago" +8594,"All Airports","Tokyo","Japan","TYO",\N,35.689444,139.691667,123,9,"U","Asia/Tokyo" +8595,"All Airports","Beijing","China","BJS",\N,39.904167,116.407222,171,8,"U","Asia/Chongqing" +8596,"All Airports","Milan","Italy","MIL",\N,45.463611,9.188056,402,1,"E","Europe/Rome" +8597,"All Airports","Washington","United States","WAS",\N,38.889444,-77.035278,25,-5,"A","America/New_York" +8598,"All Airports","Montreal","Canada","YMQ",\N,45.508611,-73.553889,53,-5,"A","America/Toronto" +8599,"All Airports","Toronto","Canada","YTO",\N,43.653056,-79.383056,302,-5,"A","America/Toronto" +8600,"Longhua Airport","Shanghai","China","","ZSSL",31.166944,121.453611,14,8,"U","Asia/Chongqing" +8601,"Pickens County Airport","Jasper","United States","JZP","KJZP",34.4534722,-84.4572222,1535,-5,"A","America/New_York" +8602,"Gesundbrunnen","Berlin","Germany","BGS",\N,52.548611,13.389444,150,1,"E","Europe/Berlin" +8603,"Saarmund Airport","Saarmund","Germany","","EDCS",52.3089943,13.1006727,160,1,"E","Europe/Berlin" +8604,"Grand Strand Airport","North Myrtle Beach","United States","CRE",\N,33.81175,-78.7239444,31,-5,"A","America/New_York" +8605,"Sun Moon Lake Airport","Sun Moon Lake","Taiwan","SMT",\N,23.8833,120.933,2405,8,"U","Asia/Taipei" +8606,"Lansing Municipal","Lansing","United States","IGQ","KIGQ",41.5349167,-87.5295278,620,-6,"A","America/Chicago" +8607,"Bloyer Field","Tomah","United States","Y72",\N,43.9762222,-90.4806111,966,-6,"A","America/Chicago" +8608,"Ramona Airport","Ramona","United States","RNM","KRNM",33.0391667,-116.91525,1395,-8,"A","America/Los_Angeles" +8609,"Dole-Pont Sur Yonne Airport","Pont Sur Yonne","France","","LFGO",48.288333,3.246389,223,1,"E","Europe/Paris" +8610,"Dole-St Florentin Cheu Airport","St Florentin Cheu","France","","LFGP",47.981389,3.776389,345,1,"E","Europe/Paris" +8611,"Guiscriff-Saulieu Liernais Airport","Saulieu","France","","LFEW",47.238611,4.263056,1699,1,"E","Europe/Paris" +8612,"Olten Airport","Olten","Switzerland","","LSPO",47.343611,7.8875,1370,1,"E","Europe/Zurich" +8613,"Buochs Airport","Buochs","Switzerland","BXO","LSZC",46.9725,8.398611,1464,1,"E","Europe/Zurich" +8614,"Ambri Airport","Quinto","Switzerland","","LSPM",46.513056,8.689444,3214,1,"E","Europe/Zurich" +8615,"Lodrino Airport","Lodrino","Switzerland","","LSML",46.29499,8.9916,850,1,"E","Europe/Zurich" +8616,"Roudnice Airport","Roudnice nad Lebem","Czech Republic","","LKRO",50.407222,14.232778,719,1,"E","Europe/Prague" +8617,"Usti Nad Labem Airport","Usti Nad Labem","Czech Republic","","LKUL",50.698889,13.970833,765,1,"E","Europe/Prague" +8618,"Mauterndorf Airport","Mauterndorf","Austria","","LOSM",47.131667,13.695278,3629,1,"E","Europe/Vienna" +8619,"Notsch Im Gailtal Airport","Notsch Im Gailtal","Austria","","LOKN",46.580833,13.629167,1810,1,"E","Europe/Vienna" +8620,"Forchheim Airport","Karlsruhe","Germany","","EDTK",49.097778,8.453056,400,1,"E","Europe/Berlin" +8621,"Bergstrasse Airport","Weinheim","Germany","","EDGZ",49.567222,8.611389,319,1,"E","Europe/Berlin" +8622,"Creil-Meaux Esbly Airport","Meaux","France","","LFPE",48.928611,2.833056,210,1,"E","Europe/Paris" +8623,"Belleau Airport","Chateau-Thierry","France","","LFFH",49.066944,3.356111,719,1,"E","Europe/Paris" +8624,"Branch County Memorial Airport","Coldwater","United States","OEB","KOEB",41.9335691,-85.0522935,959,-5,"A","America/New_York" +8625,"Wilkes-Barre Wyoming Valley Airport","Wilkes-Barre","United States","WBW","KWBW",41.2973074,-75.8522405,543,-5,"A","America/New_York" +8626,"Lost Nation Municipal Airport","Willoughby","United States","LNN","KLNN",41.6840278,-81.38975,626,-5,"A","America/New_York" +8627,"Taoyuan Air Base","Taoyuan","Taiwan","","RCGM",25.05660057,121.2442627,143,8,"U","Asia/Taipei" +8628,"Uummannaq Heliport","Uummannaq","Greenland","UMD","BGUM",70.4047,52.0702,5,-4,"E",\N +8629,"Civitavecchia","Civitavecchia","Italy","",\N,42.6,11.48,0,1,"E","Europe/Rome" +8630,"Bayannur","Bayannur","China","RLK",\N,40.926389,107.738889,3389,8,"U","Asia/Chongqing" +8631,"Capital City Airport","Frankfort","United States","FFT","KFFT",38.1819722,-84.9061389,812,-5,"A","America/New_York" +8632,"Lewiston Maine","Lewiston","United States","LEW","KLEW",44.0484728,-70.2835075,288,-5,"A","America/New_York" +8633,"Inowroclaw Inowr Airport","Inowroclaw","Poland","","EPIR",52.829444,18.330556,259,1,"E","Europe/Warsaw" +8634,"Pruszcz Gdansk Airport","Pruszcz Gdansk","Poland","","EPPR",54.248056,18.671667,21,1,"E","Europe/Warsaw" +8635,"Florence","Florence","United States","6S2",\N,43.9828168,-124.1113687,51,-8,"A","America/Los_Angeles" +8636,"Martin Campbell Field Airport","Copperhead","United States","1A3",\N,35.0158056,-84.3468333,1789,-5,"A","America/New_York" +8637,"Sudkreuz","Berlin","Germany","","BPAP",52.475556,13.364444,136,1,"E","Europe/Berlin" +8638,"Naval Air Station","Glenview","United States","NBU","KNBU",42.090556,-87.8225,653,-6,"A","America/Chicago" +8639,"Bloyer Field","Tomah","United States","","KY72",43.975278,-90.483333,965,-6,"A","America/Chicago" +8640,"Yongning Air Base","Beijing","China","","CN-0",40.50310135,116.1080017,1677,8,"U","Asia/Chongqing" +8641,"Marco Islands","Marco Island Airport","United States","MRK","KMKY",25.9950278,-81.6725278,5,-5,"A","America/New_York" +8642,"Boipeba","Boipeba Island","Brazil","",\N,-13.565589,-38.939241,5,-3,"S","America/Fortaleza" +8643,"Boipeba","Boipeba Island","Brazil","",\N,-13.565589,-38.939241,5,-3,"S","America/Fortaleza" +8644,"Drummond Island Airport","Drummond Island","United States","DRM","KDRM",46.0093114,-83.7439342,668,-5,"A","America/New_York" +8645,"Garland Airport","Lewiston","United States","8M8",\N,44.8065278,-84.2761944,1218,-5,"A","America/New_York" +8646,"Gladwin Zettel Memorial Airport","Gladwin","United States","GDW","KGDW",43.9705893,-84.47502,774,-5,"A","America/New_York" +8647,"Lowell City Airport","Lowell","United States","24C",\N,42.95392,-85.3439058,681,-5,"A","America/New_York" +8648,"South Haven Area Regional Airport","South Haven","United States","LWA","KLWA",42.3511944,-86.2556389,666,-5,"A","America/New_York" +8649,"Schaumburg Regional","Schaumburg","United States","06C",\N,41.9893408,-88.1012428,801,-6,"A","America/Chicago" +8650,"Khulna Seaplane Landing Site","Khulna","Bangladesh","",\N,22.464897,89.351261,0,6,"N","Asia/Dhaka" +8651,"Khulna Seaplane Landing Site","Khulna","Bangladesh","",\N,22.464897,89.351261,0,6,"N","Asia/Dhaka" +8652,"Khulna Seaplane Landing Site","Khulna","Bangladesh","",\N,22.464897,89.351261,0,6,"N","Asia/Dhaka" +8653,"Marshfield Municipal Airport","Marshfield","United States","MFI","KMFI",44.6368797,-90.1893267,1278,-6,"A","America/Chicago" +8654,"Alexander Field South Wood County Airport","Wisconsin Rapids","United States","ISW","KISW",44.3606456,-89.8381412,1021,-6,"A","America/Chicago" +8655,"Clinton Municipal","Clinton","United States","CWI","KCWI",41.83075,-90.3289722,708,-6,"A","America/Chicago" +8656,"Wiescheid","Langenfeld","Germany","",\N,51.141663,6.987305,1000,1,"E","Europe/Berlin" +8657,"Wadi Rum","Wadi Rum Desert","Jordan","",\N,29.682087,35.470734,1000,2,"U","Asia/Amman" +8658,"Beverly Municipal Airport","Beverly","United States","BVY","KBVY",42.584141,-70.9161444,107,-5,"A","America/New_York" +8659,"Priob\\'e","Priob\\'e","Russia","",\N,62.5461,65.6261,200,6,"N","Asia/Yekaterinburg" +8660,"Nagaur Airport","Nagaur","India","","VI73",27.20829964,73.71140289,3853,5.5,"U","Asia/Calcutta" +8661,"Ostafyevo International Airport","Moscow","Russia","","UUMO",55.511667,37.507222,568,4,"N","Europe/Moscow" +8662,"Oakdale Airport","Oakdale","United States","O27",\N,37.7563333,-120.8001944,237,-8,"A","America/Los_Angeles" +8663,"Trois Rivieres Airport","Trois Rivieres","Canada","YRQ","CYRQ",46.351667,-72.680556,199,-5,"A","America/Toronto" +8664,"Poplar Bluff Municipal Airport","Poplar Bluff","United States","POF","KPOF",36.77394444,-90.3248611,331,-6,"A","America/Chicago" +8665,"Somerset Airport","Somerville","United States","","KSMQ",40.6259908,-74.6702433,105,-5,"A","America/New_York" +8666,"Eastport Municipal Airport","Eastport","United States","EPM","KEPM",44.9101111,-67.0126944,45,-5,"A","America/New_York" +8667,"Keokuk Municipal Airport","Keokuk","United States","EOK","KEOK",40.4599078,-91.4285011,671,-6,"A","America/Chicago" +8668,"Banks Airport","Swans Island","United States","ME5",\N,44.1653889,-68.4281667,100,-5,"A","America/New_York" +8669,"Perth Scone Airport","Perth","United Kingdom","PSL","EGPT",56.439722,-3.371389,392,0,"E","Europe/London" +8670,"Caernarfon Airport","Caernarfon","United Kingdom","","EGCK",53.104167,-4.340278,14,0,"E","Europe/London" +8671,"Grefrath-Niershorst Airport","Grefrath","Germany","","EDLF",51.333889,6.359444,105,1,"E","Europe/Berlin" +8672,"Offenburg","Offenburg","Germany","",\N,48.4711,7.9411,535,1,"E","Europe/Berlin" +8673,"Oberwolfach","Oberwolfach","Germany","",\N,48.3167,8.2167,1060,1,"E","Europe/Berlin" +8674,"Karlsruhe Hbf","Karlsruhe","Germany","",\N,49.0135,8.4044,377,1,"E","Europe/Berlin" +8675,"Lichtenwalde","Lichtenwalde","Germany","",\N,50.8833,13.0167,984,1,"E","Europe/Berlin" +8676,"Karlsruhe","Karlsruhe","Germany","",\N,49.0135,8.4044,377,1,"E","Europe/Berlin" +8677,"Holzhau","Holzhau","Germany","",\N,50.7333334,13.6,1969,1,"E","Europe/Berlin" +8678,"Porto","Porto","Portugal","",\N,41.1667,8.5833,341,1,"E","Europe/Rome" +8679,"Lisboa-Oriente","Lisboa","Portugal","",\N,38.424972,9.82179,7,0,"E",\N +8680,"Bad Herrenalb","Bad Herrenalb","Germany","",\N,48.7976817,8.4361503,1198,1,"E","Europe/Berlin" +8681,"St. Paul Downtown Airport - Holman Field","St. Paul","United States","","KSTP",44.9346225,-93.0603424,705,-6,"A","America/Chicago" +8682,"Soderhamn Airport","Soderhamn","Sweden","SOO","ESCL",61.261667,17.098056,94,1,"E","Europe/Stockholm" +8683,"Newcastle Airfield","Newcastle","Ireland","","EINC",53.073056,-6.039722,14,0,"E","Europe/Dublin" +8684,"Saravane Airport","Saravane","Laos","VNA","VLSV",15.709444,106.411667,612,7,"U","Asia/Vientiane" +8685,"Lisboa-Oriente","Lisboa","Portugal","",\N,38.7,9.1833,6,0,"E",\N +8686,"Lisboa-Oriente","Lisboa-Oriente","Portugal","",\N,38.7,-9.1833,6,0,"E","Europe/Lisbon" +8687,"Zurich","Zurich","Switzerland","",\N,47.369,8.538,1339,1,"E","Europe/Zurich" +8688,"Bagdad Airport","Bagdad","United States","E51",\N,34.5958528,-113.170195,4183,-7,"A","America/Phoenix" +8689,"Segeletz Airport","Segeletz","Germany","","EDAI",52.826667,12.541944,141,1,"E","Europe/Berlin" +8690,"Fuentemilanos Airport","Segovia","Spain","","LEFM",40.889233,-4.239478,3284,1,"E","Europe/Madrid" +8691,"Akeno Aero","Akeno","Japan","","RJOE",34.533333,136.672222,12,9,"U","Asia/Tokyo" +8692,"Ust Kamchatsk Airport","Ust Kamchatsk","Russia","","UHPK",56.238556,162.688851,200,12,"N","Asia/Magadan" +8693,"Oconomowoc Airport","Oconomowoc","United States","","0WI8",43.1388947,-88.4723206,885,-6,"A","America/Chicago" +8694,"Kozyrevsk Airport","Kozyrevsk","Russia","","UHPO",56.09,159.876663,331,12,"N","Asia/Magadan" +8695,"Dikson Airport","Dikson","Russia","DKS","UODD",73.517807,80.379669,47,8,"N","Asia/Krasnoyarsk" +8696,"Beverley Airport","Mine Site","Australia","","YBEE",-30.19033959,139.5554942,381,9.5,"O","Australia/Adelaide" +8697,"Bogande Airport","Bogande","Canada","XBG",\N,48.329498,-70.995697,531,-5,"A","America/Toronto" +8698,"Bantry Aerodrome","Bantry","Ireland","BYT","EIBN",51.668598,-9.48417,7,0,"E","Europe/Dublin" +8699,"Reeroe Airport","Caherciveen","Ireland","CHE",\N,51.933334,-10.233333,314,0,"E","Europe/Dublin" +8700,"Aliwal North","Aliwal North","South Africa","","FAAN",-30.683333,26.733333,4361,2,"U","Africa/Johannesburg" +8701,"Alkantpan Airport","Alkantpan","South Africa","","FACO",-29.906389,22.316667,3585,2,"U","Africa/Johannesburg" +8702,"Alldays Airport","Alldays","South Africa","ADY","FAAL",-22.678889,29.055278,2676,2,"U","Africa/Johannesburg" +8703,"Barberton Airport","Barberton","South Africa","","FABR",-25.7175,30.975,2260,2,"U","Africa/Johannesburg" +8704,"Ocean Ridge Airport","Gualala","United States","E55",\N,38.8016111,-123.5306389,940,-8,"A","America/Los_Angeles" +8705,"Kent State Airport","Kent","United States","1G3",\N,41.1513889,-81.4151111,1134,-5,"A","America/New_York" +8706,"Bulter County Regional Airport","Hamilton","United States","","KHAO",39.36375,-84.5219444,633,-5,"A","America/New_York" +8707,"Bungoma Airport","Bungoma","Kenya","","HKBU",0.576389,34.551389,4752,3,"U","Africa/Nairobi" +8708,"Bura East","Bura","Kenya","","HKBR",-1.185,39.813889,295,3,"U","Africa/Nairobi" +8709,"Busia","Busia","Kenya","","HKBA",0.272,34.748,3989,3,"U","Africa/Nairobi" +8710,"Embu","Embu","Kenya","","HKEM",-0.568889,37.492222,4131,3,"U","Africa/Nairobi" +8711,"Garba Tula","Garba Tula","Kenya","","HKGT",0.3112,38.3056,1764,3,"U","Africa/Nairobi" +8712,"Garissa","Garissa","Kenya","GAS","HKGA",-0.468611,39.649444,469,3,"U","Africa/Nairobi" +8713,"Hola","Hola","Kenya","HOA","HKHO",-1.52,40.00389,220,3,"U","Africa/Nairobi" +8714,"Homa Bay","Homa Bay","Kenya","","HKHB",-0.591668,34.48,4231,3,"U","Africa/Nairobi" +8715,"Isiolo","Isiolo","Kenya","","HKIS",0.34361,37.587778,3688,3,"U","Africa/Nairobi" +8716,"Kalokol","Kalokol","Kenya","KLK","HYFG",3.49,35.84,1296,3,"U","Africa/Nairobi" +8717,"Kericho","Kericho","Kenya","KEY","HKKR",-0.385,35.245,6453,3,"U","Africa/Nairobi" +8718,"Kilaguni","Kilaguni","Kenya","ILU","HKKL",-2.9,38.073889,2832,3,"U","Africa/Nairobi" +8719,"Kerio Valley","Kimwarer","Kenya","KRV",\N,0.1912,35.3954,7095,3,"U","Africa/Nairobi" +8720,"Andavadoaka","Andavadoaka","Madagascar","DVD",\N,-22.111111,43.270556,27,3,"U","Indian/Antananarivo" +8721,"Antsirabe","Antsirabe","Madagascar","ATJ","FMME",-19.836944,47.065278,4913,3,"U","Indian/Antananarivo" +8722,"Bekily","Bekily","Madagascar","OVA","FMSL",-24.236111,45.305,1259,3,"U","Indian/Antananarivo" +8723,"Ust-Tsylma","Ust-Tsylma","Russia","","UUYX",65.434722232222,52.20000001,262,4,"N","Europe/Moscow" +8724,"Atlantic City Rail Terminal","Atlantic City NJ","United States","ZRA",\N,39.3665,-74.442,8,-5,"A","America/New_York" +8725,"Springfield Amtrak Station","Springfield MA","United States","ZSF",\N,42.106,-72.593054,65,-5,"A","America/New_York" +8726,"Amherst Amtrak Station AMM","Amherst MA","United States","XZK",\N,42.375,-72.511389,258,-5,"A","America/New_York" +8727,"Cape May Ferry Terminal","Cape May NJ","United States","",\N,38.9696286,-74.960918,0,-5,"A","America/New_York" +8728,"Lewes Ferry Terminal","Lewes DE","United States","",\N,38.781655,-75.119534,0,-5,"A","America/New_York" +8729,"Bar Harbor Yarmouth Ferry Terminal","Bar Harbor ME","United States","",\N,44.39917,-68.225,0,-5,"A","America/New_York" +8730,"Yarmouth Ferry Terminal","Yarmouth NS","Canada","",\N,43.833227,-66.122653,0,-4,"A","America/Halifax" +8731,"Gare de Montreux Railway Station","Montreux","Switzerland","",\N,46.435833,6.910278,1280,1,"E","Europe/Zurich" +8732,"London - Kings Cross","London","United Kingdom","QQK",\N,51.5326,0.1233,72,0,"E","Europe/London" +8733,"Stevenage Railway Station","Stevenage","United Kingdom","XVJ",\N,51.902,0.207,262,0,"E","Europe/London" +8734,"Peterborough Railway Station","Peterborough","United Kingdom","XVH",\N,52.5748,-0.2502,91,0,"E","Europe/London" +8735,"Pomalaa","Pomalaa","Indonesia","PUM",\N,-4.183333,121.61667,0,8,"N","Asia/Makassar" +8736,"St. Ignace Ferry Dock","St. Ignace MI","United States","",\N,45.866405,-84.720254,587,-5,"A","America/New_York" +8737,"Mackinac Island Dock","Mackinac Island MI","United States","",\N,45.848801,-84.615927,889,-5,"A","America/New_York" +8738,"YUR'EVETS","YUR'EVETS","Russia","","UUIC",57.338582,43.0949,413,4,"E","Europe/Moscow" +8739,"Whittlesford Parkway Rail Station","Whittlesford","United Kingdom","WLF",\N,52.104,0.166,95,0,"E","Europe/London" +8740,"Gorno-Altaysk Airport","Gorno-Altaysk","Russia","RGK","UNBG",51.966667,85.833333,965,7,"U","Asia/Omsk" +8741,"Gryzliny - Lansk","Gryzliny","Poland","","EPGR",53.3629,20.204,520,1,"E","Europe/Warsaw" +8742,"Fond Du Lac County Airport","Fond du Lac","United States","FLD","KFLD",43.7711667,-88.4884167,808,-6,"A","America/Chicago" +8743,"Waupaca Municipal Airport","Waupaca","United States","PCZ","KPCZ",44.33325,-89.0197778,840,-6,"A","America/Chicago" +8744,"Stevens Point Municipal Airport","Stevens Point","United States","STE","KSTE",44.5451356,-89.5302844,1110,-6,"A","America/Chicago" +8745,"Mys Shmidta Airport","Mys Shmidta","Russia","","UHMI",68.868301,179.373001,20,12,"N","Asia/Magadan" +8746,"Moma Airport","Honuu","Russia","","UEMA",66.450859,143.261551,656,12,"N","Asia/Magadan" +8747,"Luce County Airport","Newberry","United States","ERY","KERY",46.311199,-85.457298,869,-5,"A","America/New_York" +8748,"Forest Lake Airport","Forest Lake","United States","25D",\N,45.2477456,-92.9943853,925,-6,"A","America/Chicago" +8749,"Hannover Messe-Heliport","Hannover","Germany","ZVM",\N,52.329035,9.822136,152,1,"E","Europe/Berlin" +8750,"Peenemunde Airfield","Peenemunde","Germany","PEF","EDCP",54.157778,13.772778,7,1,"E","Europe/Berlin" +8751,"Goraszka","Goraszka","Poland","","EPGO",52.1104,21.1652,110,1,"E","Europe/Warsaw" +8752,"Pangandaran-Java Island-Nusawiru Airport","Nusawiru","Indonesia","","WI1A",-7.72039,108.489998,16,7,"N","Asia/Jakarta" +8753,"Pom Pom Camp","Pom Pom","Botswana","",\N,-19.35,22.5,965,2,"U","Africa/Gaborone" +8754,"Moremi Crossing","Moremi","Botswana","",\N,-19.31,23.08,965,2,"U","Africa/Gaborone" +8755,"New Delhi Train Station","New Delhi","India","",\N,28.64197,77.2206,708,5.5,"N","Asia/Calcutta" +8756,"Agra Cantonment Railway Station","Agra","India","",\N,27.1578,77.98993,571,5.5,"N","Asia/Calcutta" +8757,"Urumqi Railway Station","Urumqi","China","",\N,43.7809,87.585,2844,8,"N","Asia/Chongqing" +8758,"Turpan Railway Station","Turpan","China","",\N,43.151,88.875,98,8,"N","Asia/Chongqing" +8759,"Galion Municipal Airport","Galion","United States","GQQ","KGQQ",40.7533889,-82.7238056,1224,-5,"A","America/New_York" +8760,"Musiara Airstrip","Musiara","Kenya","","HKMZ",-1.29861,35.063611,5200,3,"U","Africa/Nairobi" +8761,"Tiputini","Tiputini","Ecuador","TPN","SETI",-0.766667,-75.53333,997,-5,"S","America/Guayaquil" +8762,"Shell Mera","Pastaza","Ecuador","PTZ","SESM",-2,-77,7076,-5,"S","America/Guayaquil" +8763,"Clarksville-Montgomery County Regional Airport","Clarksville","United States","CKV","KCKV",36.621944,-87.415,550,-6,"A","America/Chicago" +8764,"Oban Rail Station","Oban","United Kingdom","",\N,56.4124,-5.4702,0,0,"E","Europe/London" +8765,"Memmingen Rail Station","Memmingen","Germany","",\N,47.9878,10.1811,2077,1,"E","Europe/Berlin" +8766,"Ulm Railway Station","Ulm","Germany","",\N,48.4,9.9833,1641,1,"E","Europe/Berlin" +8767,"Aachen HBF","Aachen","Germany","",\N,50.7667,6.1,873,1,"E","Europe/Berlin" +8768,"Liege-Guillemins Railway Station","Liege","Belgium","XHN",\N,50.6333,5.56667,659,1,"E","Europe/Brussels" +8769,"Bruxelles-Central","Brussels","Belgium","","FBCL",50.8411,4.3564,43,1,"E","Europe/Brussels" +8770,"Wyk auf Foehr","Wyk","Germany","OHR",\N,54.411,8.3145,24,1,"E","Europe/Berlin" +8771,"Lompoc Airport","Lompoc","United States","LPC","KLPC",34.6656,-120.4675,88,-8,"A","America/Los_Angeles" +8772,"Chester County G O Carlson Airport","Coatesville","United States","CTH","KMQS",39.9789,-75.8654,660,-5,"A","America/New_York" +8773,"Bost Airport","Lashkar Gah","Afghanistan","BST","OABT",31.558889,64.364167,2464,4.5,"U","Asia/Kabul" +8774,"Lankaran International Airport","Lankaran","Azerbaijan","LLK","UBBL",38.746389,48.817778,30,4,"U","Asia/Baku" +8775,"Qabala Airport","Qabala","Azerbaijan","GBB","UBBQ",40.826667,47.7125,100,4,"E","Asia/Baku" +8776,"Zaqatala International Airport","Zaqatala","Azerbaijan","ZTU","UBBY",41.562222,46.667222,100,4,"E","Asia/Baku" +8777,"Lake Placid Airport","Lake Placid","United States","LKP","KLKP",44.264444,-73.961944,1747,-5,"A","America/New_York" +8778,"Long Lake","Long Lake","United States","NY9",\N,43.9750617,-74.42044,1629,-5,"A","America/New_York" +8779,"Tyopliy Klyuch","Khandyga","Russia","","UEMH",62.471,136.505,932,10,"N","Asia/Yakutsk" +8780,"Magan","Yakutsk","Russia","","UEMM",62.0626,129.3334,577,10,"N","Asia/Yakutsk" +8781,"Zhoubai","Qianjiang","China","JIQ",\N,29.515,108.83,2461,8,"N","Asia/Chongqing" +8782,"Mendeleevo","Yuzhno-Kurilsk","Russia","DEE","YXCM",43.5739,145.4107,50,12,"N",\N +8783,"Wishram Amtrak Station","Wishram","United States","WIH",\N,45.6576,-120.9664,1,-8,"A","America/Los_Angeles" +8784,"Lima Allen County Airport","Lima","United States","AOH","KAOH",40.707478,-84.0270781,975,-5,"A","America/New_York" +8785,"Sondok Airport","Hamhung","North Korea","DSO",\N,39.747333,127.474611,0,9,"U","Asia/Pyongyang" +8786,"Samjiyon Airport","Samjiyon","North Korea","YJS",\N,41.907167,128.409889,0,9,"U","Asia/Pyongyang" +8787,"Geiranger","Geiranger Fjord","Norway","",\N,62.474976458,6.1528587341,0,1,"E","Europe/Oslo" +8788,"Gangtok Helipad","Gangtok","India","",\N,27.3521,88.6051,1500,5.5,"N","Asia/Calcutta" +8789,"McKinnon Airport","Brunswick","United States","SSI","KSSI",31.1519722,-81.3910556,19,-5,"A","America/New_York" +8790,"Beaver Falls","Beaver Falls","United States","BFP","KBFP",40.7724722,-80.3914444,1253,-5,"A","America/New_York" +8791,"Seaplane Base","Winterhaven","United States","F57",\N,28.0575,-81.7628056,140,-5,"A","America/New_York" +8792,"Georgetown County Airport","Georgetown","United States","GGE","KGGE",33.3114018,-79.3203139,40,-5,"A","America/New_York" +8793,"Hardwick Field Airport","Cleveland","United States","HDI","KHDI",35.2199994,-84.832369,874,-5,"A","America/New_York" +8794,"Mark Anton Airport","Dayton","United States","2A0",\N,35.48625,-84.9310833,718,-5,"A","America/New_York" +8795,"Jefferson County Airpark","Steubenville","United States","2G2",\N,40.3602179,-80.7008742,1196,-5,"A","America/New_York" +8796,"Renton","Renton","United States","RNT","KRNT",47.4931389,-122.21575,32,-8,"A","America/Los_Angeles" +8963,"Bromont Airport","Bromont","Canada","ZBM","CZBM",45.290833,-72.741944,374,-5,"A","America/Toronto" +8798,"Brackett Field","La Verne","United States","POC","KPOC",34.0916667,-117.7817778,1014,-8,"A","America/Los_Angeles" +8799,"Jekyll Island Airport","Jekyll Island","United States","09J",\N,31.0744722,-81.4277778,11,-5,"A","America/New_York" +8800,"CedarKey","Cedar Key","United States","CDK","KCDK",29.1342222,-83.0504722,11,-5,"A","America/New_York" +8801,"Cross City","Cross City","United States","CTY","KCTY",29.6355278,-83.10475,42,-5,"A","America/New_York" +8802,"Clemson","Clemson","United States","CEU","KCEU",34.6722222,-82.8858889,891,-5,"A","America/New_York" +8803,"Heber City Municipal Airport","Heber","United States","36U",\N,40.4818056,-111.4288056,5637,-7,"A","America/Denver" +8804,"Beech Factory Airport","Wichita","United States","BEC","KBEC",37.6939167,-97.2149167,1409,-6,"A","America/Chicago" +8805,"Cherokee County Airport","Canton","United States","47A",\N,34.3122175,-84.4221556,1219,-5,"A","America/New_York" +8806,"Fernandina Beach Municipal Airport","Fernandina Beach","United States","55J",\N,30.6118333,-81.4611944,16,-5,"A","America/New_York" +8807,"Padang Tabing","Padang","Indonesia","","WIMG",-0.875,100.3519,3,7,"U","Asia/Jakarta" +8808,"Tom B. David Field Airport","Calhoun","United States","","KCZL",34.45545,-84.9391622,651,-5,"A","America/New_York" +8809,"Habersham County Airport","Cornelia","United States","","KAJR",34.4998483,-83.5566701,1448,-5,"A","America/New_York" +8810,"Hamburg Hbf","Hamburg","Germany","ZMB",\N,53.552776,10.006683,30,1,"E","Europe/Berlin" +8811,"Georgetown Municipal Airport","Georgetown","United States","GTU","KGTU",30.678809,-97.6793837,790,-6,"A","America/Chicago" +8812,"Old Rhinebeck Airport","Rhinebeck","United States","","NY94",41.969833,-73.864555,323,-5,"U","America/New_York" +8813,"Duxford Aerodrome","Duxford","United Kingdom","QFO","EGSU",52.09083,0.13194,125,0,"E","Europe/London" +8814,"BLABU","Blankenburg","Germany","",\N,51.7946,11.0183,551,1,"E","Europe/Berlin" +8815,"Sidney Muni Airport","Sidney","United States","SNY","KSNY",41.10167,-102.985,4313,-7,"A","America/Denver" +8816,"Manantali Bengassi Airport ","Bengassi","Mali","","GA46",13.25561,-10.50432,538,0,"N","Africa/Bamako" +8817,"Schofields Aerodrome","Schofields","Australia","",\N,-33.717389,150.871396,21,10,"O","Australia/Sydney" +8818,"Luray Caverns Airport","Luray","United States","","KLUA",38.666944,-78.500556,903,-5,"A","America/New_York" +8819,"Eagle's Nest Airport","Waynesboro","United States","W13",\N,38.076944,-78.944167,1437,-5,"A","America/New_York" +8820,"Great Keppel Island","Great Keppel Island","Australia","GKL","YGKL",-23.186,150.943,250,10,"U","Australia/Brisbane" +8821,"Roper Bar","Roper Bar","Australia","RPB","YRRB",-14.73457,134.5252,70,9.5,"U","Australia/Darwin" +8822,"Mount Garnet","Mount Garnet","Australia","","YMRT",-17.70601,145.14889,2159,10,"U","Australia/Brisbane" +8823,"Innisfail","Innisfail","Australia","IFL","YIFL",-17.55908,146.01123,46,10,"U","Australia/Brisbane" +8824,"Kalaeloa","Kapolei","United States","","PHJR",21.307222,-158.070278,30,-10,"U","Pacific/Honolulu" +8825,"Bamyan Airport","Bamyan","Afghanistan","BIN","OABN",34.816667,67.816667,2550,4.5,"N","Asia/Kabul" +8826,"Changbaishan Airport","Baishan","China","NBS",\N,42.088056,127.548889,2762,8,"N","Asia/Chongqing" +8827,"SFO Helicopter","Sausalito","United States","",\N,37.87856,-122.512742,13,-8,"A","America/Los_Angeles" +8828,"Lewa Airport","Lewa Downs","Kenya","",\N,0.1927,37.4725,6250,3,"U","Africa/Nairobi" +8829,"Huaorani Ecolodge","Huaorani","Ecuador","",\N,-1.0102,-77.1501,1000,-5,"U","America/Guayaquil" +8830,"Chongjin Airport","Chongjin","North Korea","RGO","ZZ07",41.4297,129.6488,0,9,"U","Asia/Pyongyang" +8831,"Moomba","Moomba","Australia","MOO","YOOM",-28.1,140.2,143,9.5,"O","Australia/Adelaide" +8832,"Lublin","Lublin","Poland","LUZ","EPLB",51.239333,22.714083,203,1,"E","Europe/Warsaw" +8834,"Madison County Executive Airport","Huntsville","United States","","KMDQ",34.861,-86.558,756,-6,"A","America/Chicago" +8835,"Leesburg Executive Airport","Leesburg","United States","JYO","KJYO",39.078,-77.558,389,-5,"A","America/New_York" +8836,"CNC4","Guelph","Canada","",\N,43.563889,-80.196111,1100,-5,"A","America/Toronto" +8837,"CNC4","Geulph","Canada","",\N,43.563889,-80.196111,1100,-5,"A","America/Toronto" +8839,"Robinson Crusoe Airport","San Juan Bautista","Chile","","SCIR",-33.665001,-78.929703,433,-4,"S","America/Santiago" +8840,"Maamigili Airport","Maamigili","Maldives","VAM","VRMV",3.4702,72.8344,6,5,"U","Indian/Maldives" +8841,"Hilton Iru fushi","Maldives Hilton Iru fushi","Maldives","IRU","IRUF",5.7435,73.3249,6,5,"U","Indian/Maldives" +8842,"Dhigurah Centara Grand Maldives","Dhigurah","Maldives","DHG","DHGU",3.5939,72.8834,6,5,"U","Indian/Maldives" +8843,"Beijing Railway Station","Beijing","China","",\N,39.5408,116.2516,143,8,"N","Asia/Chongqing" +8844,"Chengde Railway Station","Chengde","China","",\N,40.965755,117.954019,1083,8,"N","Asia/Chongqing" +8845,"Yongzhou Lingling Airport","Yongzhou","China","LLF",\N,26.345556,111.612222,428,8,"U","Asia/Chongqing" +8846,"Losinj Airport","Mali Losinj","Croatia","LSZ","LDLO",44.3357,14.2335,154,1,"E",\N +8847,"Onslow ","Onslow","Australia","ONS","YOLW",-21.667,115.116,23,8,"O","Australia/Perth" +8848,"Theodore","Theodore","Australia","TDR","YTDR",-24.986737,150.093112,560,10,"N","Australia/Brisbane" +8849,"RUDNIKI ","RUDNIKI","Poland","CZW","EPRU",50.884722,19.202222,262,1,"E","Europe/Warsaw" +8850,"Williamson-Sodus Airport","Williamson","United States","SDC","KSDC",43.2347904,-77.119444,424,-5,"A","America/New_York" +8851,"Clear Lake Metroport","Clear Lake City","United States","CLC",\N,29.5569,-95.137497,35,-6,"A","America/Chicago" +8852,"Gilberto Lavaque","Cafayate","Argentina","CFX","SASC",-26.06245,-65.932095,5523,-3,"S","America/Cordoba" +8853,"Woking","Fairoaks","United Kingdom","","EGTF",51.348056,-0.558611,80,0,"U","Europe/London" +8854,"Boulder Municipal","Boulder","United States","WBU","KBDU",40.039444,-105.225833,5288,-7,"A","America/Denver" +8855,"Neustadt-Glewe","Neustadt-Glewe","Germany","","EDAN",53.364779,11.607352,115,1,"E","Europe/Berlin" +8856,"Berchtesgarden BKS","Bischofswiesen","Germany","",\N,47.62313,12.972214,2297,1,"E","Europe/Berlin" +8857,"Hohe Duene","Warnemuende","Germany","","ETMW",54.181438,12.132082,10,1,"E","Europe/Berlin" +8858,"Sannvhe","Tangshan","China","TVS","ZBSN",39.717444,118.002389,25,8,"N","Asia/Chongqing" +8859,"GOETSENHOVEN AB","GOETSENHOVEN","Belgium","","EBTN",50.7817,4.95778,246,1,"E","Europe/Brussels" +8860,"Wildenrath AB Closed","Wildenrath","Germany","","EDUW",51.113721,6.210245,200,1,"E","Europe/Berlin" +8861,"Bremgarten Airport","Bremgarten","Germany","","EDTG",47.902779,7.617778,300,1,"E","Europe/Berlin" +8862,"Bitburg AB closed","Birburg","Germany","","EDRB",49.945278,6.565,1200,1,"U","Europe/Berlin" +8863,"Toul AB closed","Toul","France","",\N,48.779999,5.98,936,1,"E","Europe/Paris" +8864,"Palo Alto Airport of Santa Clara County","Palo Alto","United States","PAO","KPAO",37.4611111,-122.1150556,7,-8,"A","America/Los_Angeles" +8865,"Dubai Cruise Terminal","Dubai","United Arab Emirates","",\N,25.274193,55.28311,0,4,"U","Asia/Dubai" +8866,"Ust-Nera Airport","Ust-Nera","Russia","","UEMT",64.568056,143.236111,3000,11,"U","Asia/Vladivostok" +8867,"Vostice","Vysoke Myto","Czech Republic","","LKVM",49.5537,16.1109,988,1,"E","Europe/Prague" +8868,"Spa La Sauveniere","Spa","Belgium","","EBSP",50.4824981689453,5.91029977798462,1581,1,"E","Europe/Brussels" +8869,"Mesa Falcon Field","Mesa","United States","FFZ","KFFZ",33.4608001708984,-111.727996826172,1394,-7,"A","America/Phoenix" +8870,"Coolidge Municipal Airport","Cooldige","United States","P08","KP08",32.9359016418457,-111.427001953125,1574,-7,"A","America/Phoenix" +8871,"Cottonwood Airport","Cottonwood","United States","P52","KP52",34.7299995422363,-112.035003662109,3550,-7,"A","America/Phoenix" +8872,"Suarlee Airport","Namur","Belgium","","EBNM",50.4879989624023,4.76891994476318,594,1,"E","Europe/Brussels" +8873,"Hasselt Airport","Hasselt","Belgium","","EBZH",50.9700012207031,5.37507009506226,141,1,"E","Europe/Brussels" +8874,"Phoenix Regional Airport","Phoenix","United States","A39","KA39",32.99169921875,-111.920997619629,1300,-7,"A","America/Phoenix" +8875,"Wickenburg Municipal Airport","Wickenburg","United States","E25","KE25",33.96889877,-112.7990036,2377,-7,"A","America/Phoenix" +8876,"Yangzhou Taizhou Airport","Yangzhou","China","YTY","ZSYA",32.5617,119.715,7,8,"N","Asia/Chongqing" +8877,"Oakland Co. Intl","Pontiac","United States","PTK","KPTK",42.667,-83.35,980,-5,"A","America/New_York" +8878,"Fuzhou Railway Station","Fuzhou","China","",\N,26.11351,119.319998,39,8,"N","Asia/Chongqing" +8879,"Xiamen Railway Station","Xiamen","China","",\N,24.4679,118.116,255,8,"N","Asia/Chongqing" +8880,"Kissidougou","Kissidougou","Guinea","KSI","GUKU",9.160556,-10.124443,550,0,"N","Africa/Conakry" +8881,"Pecs","Pecs","Hungary","QPJ",\N,46.070833,18.233056,1000,1,"E","Europe/Budapest" +8882,"Neuwied","Neuwied","Germany","",\N,50.432008,7.472785,300,1,"E","Europe/Berlin" +8883,"Castelnuovo di Garfagnana","Castelnuovo di Garfagnana","Italy","",\N,44.116464,10.409954,1100,1,"E","Europe/Rome" +8884,"Portovenere","Portovenere","Italy","",\N,44.0519359,9.8353078,10,1,"E","Europe/Rome" +8885,"Amsterdam Zuid WTC","Amsterdam","Netherlands","",\N,52.338841,4.871471,10,1,"E","Europe/Amsterdam" +8886,"Budapest Keteli","Budapest","Hungary","",\N,47.500497,19.085484,100,1,"E","Europe/Budapest" +8887,"Zagreb Glavni Kolod.","Zagreb","Croatia","",\N,45.804289,15.979121,500,1,"E","Europe/Zagreb" +8888,"Dillant Hopkins Airport","Keene","United States","EEN",\N,72.270833,42.898333,149,-5,"A",\N +8889,"Tianshui Airport","Tianshui","China","THQ","ZLTS",34.333,105.514,9186,8,"N","Asia/Chongqing" +8890,"Kawama Airport","Kawama","Cuba","","MUKW",23.123642,-81.301805,16,-5,"U","America/Havana" +8891,"Yumuri Valley","Yumuri Valley","Cuba","",\N,23.1,-81.9,0,-5,"U","America/Havana" +8892,"Kooddoo","Kooddoo","Maldives","GKK","VRMO",0.7308,73.433,10,5,"U","Indian/Maldives" +8893,"Glasgow Industrial","Glasgow","United States","","07MT",48.4211069,-106.5277039,2762,-7,"A","America/Denver" +8894,"Rochester Airport","Rochester","United Kingdom","RCS","EGTO",51.351944,0.502778,426,0,"E","Europe/London" +8895,"Den Haag Centraal","Den Haag","Netherlands","",\N,52.081667,4.329167,0,1,"E","Europe/Amsterdam" +8896,"Paris Nord","Paris","France","",\N,48.880931,2.355323,0,1,"E","Europe/Paris" +8897,"Venlo railway station","Venlo","Netherlands","",\N,51.364722,6.171389,0,1,"E","Europe/Amsterdam" +8898,"Monchengladbach Central Station","Monchengladbach","Germany","",\N,51.196,6.446,0,1,"E","Europe/Berlin" +8899,"Utrecht Centraal","Utrecht ","Netherlands","",\N,52.089167,5.109722,0,1,"E","Europe/Amsterdam" +8900,"Rensselaer Rail Station","Albany","United States","",\N,42.641389,-73.741111,324,-5,"A","America/New_York" +8901,"Amtrak Station","Tacoma","United States","",\N,47.242733,-122.42041,50,-8,"A","America/Los_Angeles" +8902,"Amtrak Station","Orlando","United States","",\N,28.5259,-81.3813,82,-5,"A","America/New_York" +8903,"Denali Rail","Healy","United States","",\N,63.7306,-148.913733333333,1730,-9,"A","America/Anchorage" +8904,"Albian Aerodrome","Wood Buffalo","Canada","JHL",\N,57.223889,-111.418889,1048,-7,"A","America/Edmonton" +8905,"Monroe Reqional Airport","Charlotte","United States","EQY",\N,35.01833,-80.62001,679,-5,"A","America/New_York" +8906,"Station Aare","Aare","Sweden","",\N,63.398779,13.075956,1240,1,"E","Europe/Stockholm" +8907,"Villach Hauptbahnhof","Villach","Austria","",\N,46.618333,13.848333,1644,1,"E","Europe/Vienna" +8908,"Krakow Glowny","Krakow","Poland","",\N,50.065556,19.947222,719,1,"E","Europe/Warsaw" +8909,"Wien Meidling","Vienna","Austria","",\N,48.175,16.335278,738,1,"E","Europe/Vienna" +8910,"Roma Termini","Rome","Italy","",\N,41.900833,12.501944,197,1,"E","Europe/Rome" +8911,"Napoli Centrale","Naples","Italy","",\N,40.8525,14.271944,39,1,"E","Europe/Rome" +8912,"Euston Station","London","United Kingdom","",\N,51.5284,-0.1331,89,0,"E","Europe/London" +8913,"Kankan","Kankan","Guinea","KNN","GUXD",10.448333,-9.227499,8694,0,"U","Africa/Conakry" +8914,"Termal","Rio Hondo","Argentina","RHD","SANH",-27.509946,-64.936666,1181,-3,"S","America/Cordoba" +8915,"Guangzhou Railway Station","Guangzhou","China","",\N,23.151343,113.252073,19,8,"N","Asia/Chongqing" +8916,"Shenzhen West Railway Station","Shenzhen","China","",\N,22.532043,113.908729,3,8,"N","Asia/Chongqing" +8917,"Shenzhen North Railway Station","Shenzhen","China","",\N,22.607058,114.027203,229,8,"N","Asia/Chongqing" +8918,"Keetmanshoop","Keetmanshoop","Namibia","KMP","FYKT",-26.5397,18.1114,3506,1,"U","Africa/Windhoek" +8919,"Shekou Ferry Terminal","Shenzhen","China","",\N,22.476555,113.912855,2,8,"N","Asia/Chongqing" +8920,"Zhuhai-Jiuzhou Port","Zhuhai","China","",\N,22.233333,113.583333,2,8,"N","Asia/Chongqing" +8921,"Kangding Airport","Kangding","China","KGT","ZUKD",30.1575,101.734722,14042,8,"N","Asia/Chongqing" +8922,"Train Station","Aranyaprathet","Thailand","",\N,13.4058,102.311,150,7,"N","Asia/Bangkok" +8923,"Train Station","Nha Trang","Vietnam","",\N,12.15,109.11,50,7,"N","Asia/Saigon" +8924,"Veliky Ustyug","Veliky Ustyug","Russia","VUS","ULWU",60.788333,46.26,331,4,"N","Europe/Moscow" +8925,"Iowa City Municipal Airport","Iowa City","United States","IOW","KIOW",41.639244,-91.546503,668,-6,"A","America/Chicago" +8926,"Turpan","Turpan","China","TLQ","ZWTP",42.942328,89.185877,20,8,"U","Asia/Chongqing" +8927,"Lorenzo","Morro de Sao Paulo","Brazil","","SNCL",-13.389444445,-38.91,3,-3,"S","America/Fortaleza" +8928,"Windom Municipal Airport","Windom","United States","MWM","KMWM",43.9134017,-95.1094083,1410,-6,"A","America/Chicago" +8929,"Sasakwa Airstrip","Sasakwa","Tanzania","",\N,-2.0714,34.5068,4000,3,"N","Africa/Dar_es_Salaam" +8930,"Yabuli","Yabuli Town","China","",\N,44.4653,128.27,1200,8,"N","Asia/Chongqing" +8931,"Longview Ranch Airport","Longview","United States","","OG39",44.6608611,-119.6526153,2080,-8,"A","America/Los_Angeles" +8932,"Rothera Research Station","Rothera Research Station","United Kingdom","","EGAR",-67.34,-68.08,200,12,"U","Antarctica/South_Pole" +8933,"Sortavala","Sortavala","Russia","","ULPW",61.736099,30.673599,14,4,"N","Europe/Moscow" +8934,"Valaam","Valaam","Russia","",\N,61.37115,30.88977,15,4,"N","Europe/Moscow" +8935,"Lee Airport","Annapolis","United States","ANP","KANP",38.942778,-76.568333,34,-5,"A","America/New_York" +8936,"Songshan Train Station","Taipei","Taiwan","",\N,25.049214,121.577961,0,8,"N","Asia/Taipei" +8937,"Kaohsiung Station","Kaohsiung","Taiwan","",\N,22.638432,120.301877,39,8,"N","Asia/Taipei" +8938,"Hualien Station","Hualien","Taiwan","",\N,23.992722,121.60135,45,8,"N","Asia/Taipei" +8939,"El Merk","El Merk","Algeria","",\N,30.300039,8.160833,0,1,"U","Africa/Algiers" +8940,"Budapest Keleti pu.","Budapest","Hungary","",\N,-47.500278,-160.916111,0,1,"E",\N +8941,"Bratislava hl. st.","Bratislava","Slovakia","",\N,-48.158263,17.105839,430,1,"E",\N +8942,"Ndutu","Ndutu","Tanzania","DUU","HTND",-3.0243398,34.98450589999993,5400,3,"U","Africa/Dar_es_Salaam" +8943,"Cuamba","Cuamba","Mozambique","FXO","FQCB",-14.8175,36.528333,1931,2,"N","Africa/Maputo" +8944,"Bodaibo","Bodaibo","Russia","ODO","UIKB",57.5137,114.1348,940,9,"N","Asia/Irkutsk" +8945,"Berdoba Airport","Berdoba","Chad","",\N,16.072,22.8466,2953,1,"N","Africa/Ndjamena" +8946,"Zhytomyr","Zhytomyr","Ukraine","ZTR","UKKV",50.270556,28.738611,0,2,"E","Europe/Kiev" +8947,"Mozyr","Mozyr","Belarus","","UMGM",51.981944,29.165,0,3,"N","Europe/Minsk" +8948,"Paluknys","Paluknys","Lithuania","","EYVP",54.483056,24.989722,0,2,"E","Europe/Vilnius" +8949,"Mattala Rajapaksa Intl.","Mattala","Sri Lanka","HRI","VCRI",6.284467,81.124128,157,5.5,"N","Asia/Colombo" +8950,"Pecos Municipal Airport","Pecos","United States","PEQ","KPEQ",31.3823889,-103.5107222,2613,-6,"A","America/Chicago" +8951,"Hattiesburg Bobby L. Chain Municipal Airport","Hattiesburg","United States","HBG","KHBG",31.2649444,-89.2528889,151,-6,"A","America/Chicago" +8952,"Botucatu","Botucatu","Brazil","QCJ","SDBK",-22.938,-48.467,3012,-3,"S","America/Sao_Paulo" +8953,"Anapolis Military Airbase","Anapolis","Brazil","","SBAN",-16.23,-48.966,3731,-3,"S","America/Sao_Paulo" +8954,"Sao Carlos TAM","Sao Carlos","Brazil","QSC","SDSC",-21.875,-47.904,2649,-3,"S","America/Sao_Paulo" +8955,"Byron Airport","Byron Bay","Australia","",\N,28.383504,153.365447,10,10,"O",\N +8956,"Grindelwald","Grindelwald","Switzerland","",\N,46.35106,7.57408,6000,1,"U","Europe/Zurich" +8957,"Grindelwald","Grindelwald","Switzerland","",\N,46.3506,7.57408,6000,1,"U","Europe/Zurich" +8958,"Chan Gurney","Yankton","United States","YKN","KYKN",42.8711,-97.3969,1200,-6,"A","America/Chicago" +8959,"Selfield Airport","Selma Alabama","United States","SES","KSES",32.4404,-86.9522,131,-6,"A","America/Chicago" +8960,"Linkwasha Airfield","Hwange National Park","Zimbabwe","",\N,-19.123333,27.201389,3543,2,"N","Africa/Harare" +8961,"Sir Bani Yas Island","Sir Bani Yas Island","United Arab Emirates","XSB",\N,24.2856083,52.5783472,5,4,"U","Asia/Dubai" +8962,"Dalma Airport","Dalma Island","United Arab Emirates","ZDY",\N,24.5033833,52.3360528,8,4,"U","Asia/Dubai" +8964,"Playa del Carmen Airport","Playa del Carmen","Mexico","PCM",\N,20.6225,-87.082221,1,-6,"U","America/Mexico_City" +8965,"Ellough","Beccles","United Kingdom","","EGSM",52.438333,1.606944,80,0,"E","Europe/London" +8966,"Kratie Airport","Kratie","Cambodia","KTI","VDKT",12.4905,106.055,3610,7,"N","Asia/Phnom_Penh" +8967,"Caldera Airport","Caldera","Chile","","SCCL",-27.078052,-70.795305,180,-4,"U","America/Santiago" +8968,"San Pedro de Atacama Airport","San Pedro de Atacama","Chile","","SCPE",-22.918888,-68.162777,7959,-4,"U","America/Santiago" +8969,"Copacabana Airport","Copacabana","Bolivia","","SLCC",-16.183326,-69.087501,12591,-4,"U","America/La_Paz" +8970,"Havelock Island Seaport","Havelock Island","India","",\N,12.042636,92.982574,0,5.5,"N","Asia/Calcutta" +8971,"Guyuan","Guyuan","China","GYU","ZLGY",36.078611,106.216667,5577,8,"U","Asia/Chongqing" +8972,"Brawdy RAF Airport","Brawdy","United Kingdom","","EGDA",51.880462,-5.12148,355,0,"E","Europe/London" +8973,"Gaios Bay","Paxi","Greece","",\N,39.195944,20.195961,0,2,"E","Europe/Athens" +8974,"Changhai","Changhai","China","CNI","ZYCH",39.266389,122.666944,1,8,"N","Asia/Chongqing" +8975,"Redhill Aerodrome","Redhill","United Kingdom","KRH","EGKR",51.213612,-0.13861,221,0,"E","Europe/London" +8976,"Bahnhof","Bad Gastein","Austria","",\N,47.1,13.0167,3287,1,"E","Europe/Vienna" +8977,"Acquafredda Station","Maratea","Italy","",\N,40,15.7167,1000,1,"E","Europe/Rome" +8978,"Victoria Station","London","United Kingdom","",\N,51.4964,-0.14391,48,0,"E","Europe/London" +8979,"Jiagedaqi Airport","Jiagedaqi District","China","JGD",\N,50.375,124.117,1205,8,"N","Asia/Chongqing" +8980,"Chinchilla","Chinchilla","Australia","CCL","YCCA",-26.769444,150.616667,1030,10,"O","Australia/Brisbane" +8981,"Frazier Lake Airpark","Hollister","United States","1C9",\N,54.013333333333335,-124.76833333333333,152,-8,"A","America/Vancouver" +8982,"Hayward Executive Airport","Hayward","United States","HWD","KHWD",37.65888888888889,-122.12166666666666,52,-8,"A","America/Los_Angeles" +8983,"Motueka","Motueka","New Zealand","MZP","NZMK",-41.123299,172.988998,39,12,"Z","Pacific/Auckland" +8984,"Shute Harbour","Shute Harbour","Australia","JHQ","YSHR",-20.278299,148.757004,12,10,"O","Australia/Brisbane" +8985,"Enstone","Enstone","United Kingdom","","EGTN",51.928167,-1.4285,550,0,"U","Europe/London" +8986,"Portoferrario Cruise Terminal","Portoferrario","Italy","",\N,42.49,10.19,13,1,"E","Europe/Rome" +8987,"Pittsburgh Amtrak","Pittsburgh","United States","",\N,40.4406,-79.9961,1370,-5,"A","America/New_York" +8988,"Raton Amtrak","Raton","United States","",\N,36.9033,-104.4386,8800,-7,"A","America/Denver" +8989,"Ann Arbor Municipal Airport","Ann Arbor","United States","ARB","KARB",42.132274,-83.444418,839,-5,"A","America/New_York" +8990,"Myrdal Station","Myrdal","Norway","",\N,60.4418,7.0723,2844,1,"E","Europe/Oslo" +8991,"Flam Station","Flam","Norway","",\N,60.5017,7.0714,6,1,"E","Europe/Oslo" +8992,"Leikanger Terminal","Leikanger","Norway","",\N,61.1351,6.4723,6,1,"E","Europe/Oslo" +8993,"North Sea","Gryphon FPSO","United Kingdom","","GRY1",59.35,1.57,0,0,"U",\N +8994,"Shepparton","Shepparton","Australia","SHT","YSHT",-36.428902,145.393005,374,10,"O","Australia/Hobart" +8995,"Temora","Temora","Australia","TEM","YTEM",-34.4248,147.5104,921,10,"O","Australia/Sydney" +8996,"Gayndah","Gayndah","Australia","GAH","YGAY",-25.61528,151.62083,369,10,"N","Australia/Brisbane" +8997,"Popondetta","Popondetta","Papua New Guinea","EIA",\N,-8.19999980927,147.850006104,311,10,"U","Pacific/Port_Moresby" +8998,"Wilcannia","Wilcannia","Australia","WIO","YWCA",-31.5174999237,143.378997803,250,10,"O","Australia/Sydney" +8999,"Bollards Lagoon","Bollards Lagoon Station","Australia","",\N,-28.9832259,140.852844,250,9.5,"O","Australia/Adelaide" +9000,"Delamere Range","Delamere Range","Australia","",\N,-15.7467,131.919998,200,9.5,"U","Australia/Darwin" +9001,"Ivanhoe","Ivanhoe","Australia","","YIVO",-32.883301,144.309998,331,10,"O","Australia/Sydney" +9002,"Menindee","Menindee","Australia","","YMED",-32.22,142.2418,164,10,"O","Australia/Sydney" +9003,"Naduri","Naduri","Papua New Guinea","",\N,-8.93,147.73,900,10,"U","Pacific/Port_Moresby" +9004,"Pooncarie","Pooncarie","Australia","","YPCE",-33.366699,142.587977,184,10,"O","Australia/Sydney" +9005,"Wiawera Station","Wiawera station","Australia","",\N,-32.29515,140.4145,180,9.5,"O","Australia/Adelaide" +9006,"Tilpa","Tilpa","Australia","","YTLP",-30.556,144.251,280,10,"O","Australia/Sydney" +9007,"Yarramba Station","Yarramba Station","Australia","",\N,-31.66136,140.6277,180,9.5,"O","Australia/Adelaide" +9008,"Reichenbach","Reichenbach im Kandertal","Switzerland","","LSGR",46.61298,7.67773,2300,1,"E","Europe/Zurich" +9009,"Takayama Station","Takayama","Japan","",\N,36.1406,137.2519,2200,9,"N","Asia/Tokyo" +9010,"Himeji Station","Himeji","Japan","",\N,34.49395,134.412706,141,9,"U","Asia/Tokyo" +9011,"Miyajimaguchi Station","Miyajimaguchi","Japan","",\N,34.3122,132.3022,6,9,"U","Asia/Tokyo" +9012,"Miyajima Port","Miyajima","Japan","",\N,34.302043,132.32213,0,9,"U","Asia/Tokyo" +9013,"Brown Bluff Port","Brown Bluff","Antarctica","",\N,-63.32,-56.54,0,12,"S","Antarctica/South_Pole" +9014,"Devil Island Port","Devil Island","Antarctica","",\N,-63.48,-57.17,0,12,"S","Antarctica/South_Pole" +9015,"Gourdin Island Port","Gourdin Island","Antarctica","",\N,-63.12,-57.18,0,12,"S","Antarctica/South_Pole" +9016,"Cuverville Island Port","Cuverville Island","Antarctica","",\N,-64.41,-62.38,0,12,"S","Antarctica/South_Pole" +9017,"Neko Harbor","Neko Harbor","Antarctica","",\N,-64.5,-62.33,0,12,"S","Antarctica/South_Pole" +9018,"Port Lockroy","Port Lockroy","Antarctica","",\N,-64.4931,-63.294,0,12,"S","Antarctica/South_Pole" +9019,"Walker Bay","Walker Bay","Antarctica","",\N,-62.38,-60.42,0,12,"S","Antarctica/South_Pole" +9020,"Whalers Bay","Deception Island","Antarctica","",\N,-62.5837,-60.39,0,12,"S","Antarctica/South_Pole" +9021,"Labadee Port","Labadee","Haiti","",\N,19.4711,-72.1444,0,-5,"A","America/Port-au-Prince" +9022,"Lagos Lagoon","Lekki","Nigeria","",\N,6.465907,3.532115,0,1,"N","Africa/Lagos" +9023,"Escravos","Escravos","Nigeria","",\N,5.617203,5.187993,0,1,"U","Africa/Lagos" +9024,"Volosovo","Volosovo","Russia","","XUMW",55.0683,37.4517,577,4,"N","Europe/Moscow" +9025,"Bijie Feixiong Airport","Bijie","China","BFJ",\N,27.253,105.426,5250,8,"N","Asia/Chongqing" +9026,"Lensk","Lensk","Russia","ULK","UERL",60.723,114.825,843,10,"U","Asia/Yakutsk" +9027,"Fairbanks Train Depot","Fairbanks","United States","",\N,64.5109,-147.4445,446,-9,"A","America/Anchorage" +9028,"Denali Train Depot","Denali","United States","",\N,63.43083,-150.31111,3733,-9,"A","America/Anchorage" +9029,"Talkeetna Train Depot","Talkeetna","United States","",\N,62.18934,-150.06177,348,-9,"A","America/Anchorage" +9030,"Anchorage Rail Depot","Anchorage","United States","",\N,61.1318,-149.5326,102,-9,"A","America/Anchorage" +9031,"Whittier Port","Whittier","United States","",\N,60.774174,-148.677649,0,-9,"A","America/Anchorage" +9032,"Qingdao Railway Station","Qingdao","China","",\N,36.063497,120.312542,45,8,"N","Asia/Chongqing" +9033,"Beijing South Railway Station","Beijing","China","",\N,39.5157,116.2235,144,8,"N","Asia/Chongqing" +9034,"Shanghai Railway Station","Shanghai","China","",\N,31.251552,121.450446,16,8,"N","Asia/Chongqing" +9035,"Suzhou Railway Station","Suzhou","China","",\N,31.195,120.3623,9,8,"N","Asia/Chongqing" +9036,"Biluty","Khamar-Daban","Russia","",\N,51.994,102.099,3000,9,"N","Asia/Irkutsk" +9037,"Shumak","Khamar-Daban","Russia","",\N,51.964,101.867,3600,9,"N","Asia/Irkutsk" +9038,"Shumak","Khamar-Daban","Russia","",\N,51.964,101.897,3300,9,"N","Asia/Irkutsk" +9039,"Kitoi","Khamar-Daban","Russia","",\N,52.111,101.986,2000,9,"N","Asia/Irkutsk" +9040,"Kitoi","Khamar-Daban","Russia","",\N,52.111,101.986,2000,9,"N","Asia/Irkutsk" +9041,"Angasolka","Baikal","Russia","",\N,51.758,103.849,1500,9,"N","Asia/Irkutsk" +9042,"Kavalerovo","Kavalerovo","Russia","","UHWK",44.273,135.029,660,11,"N","Asia/Vladivostok" +9043,"Igdir","Igdir","Turkey","IGD","LTCT",39.983056,43.866389,3100,2,"E","Europe/Istanbul" +9044,"Sanliurfa GAP","Sanliurfa","Turkey","GNY","LTCS",37.45,38.9,2700,2,"E","Europe/Istanbul" +9045,"Zafer","Kutahya","Turkey","KZR","LTBZ",39.111389,30.13,3327,2,"E","Europe/Istanbul" +9046,"Barentsburg","Barentsburg","Svalbard","",\N,78.1006,14.1998,20,1,"U","Arctic/Longyearbyen" +9047,"Piramida","Piramida","Svalbard","",\N,78.6528,16.3392,20,1,"U","Arctic/Longyearbyen" +9048,"Velikiye Luki","Velikiye Luki","Russia","VLU","ULOL",56.381667,30.61,328,4,"N","Europe/Moscow" +9049,"Boston Back Bay Station","Boston","United States","ZTY",\N,42.3478,-71.075,20,-5,"A","America/New_York" +9050,"Burlington GO Station","Burlington","Canada","",\N,43.3408282,-79.8093881,243,-5,"A","America/Toronto" +9051,"Niagra Falls Railway Station","Niagra Falls","Canada","",\N,43.1088,-79.0634,521,-5,"A","America/New_York" +9052,"Niagara Falls Station","Niagara Falls","United States","",\N,43.1135,-79.0318,0,-5,"A","America/New_York" +9053,"Yelahanka AFB","Bangalore","India","YLK","VOYK",13.136,77.607,2912,5.5,"N","Asia/Calcutta" +9054,"Yeltsovka","Novosibirsk","Russia","","UNNE",55.077,82.997,617,7,"N","Asia/Omsk" +9055,"Veligandu Resort","Veligandu","Maldives","",\N,4.1753,73.0037,0,5,"U","Indian/Maldives" +9056,"Kuramathi","Kuramathi","Maldives","",\N,4.1525,73,0,5,"U","Indian/Maldives" +9057,"Olkiombo Airstrip","Masai Mara","Kenya","","HKOK",-1.409569,35.110788,4997,3,"U","Africa/Nairobi" +9058,"Shanghai South Railway Station","Shanghai","China","",\N,31.154425,121.42416,13,8,"N","Asia/Chongqing" +9059,"Suzhou North Railway Station","Suzhou","China","",\N,31.423646,120.639045,6,8,"N","Asia/Chongqing" +9060,"Ulithi","Ulithi","Micronesia","ULI",\N,10.016699791,139.800003052,10,10,"O","Pacific/Truk" +9061,"Mar-Kuel","Mar-Kuel","Russia","","UHHK",57.2712,132.314,200,11,"N","Asia/Vladivostok" +9062,"Kodinsk","Kodinsk","Russia","","UNKI",58.285,99.055,200,8,"N","Asia/Krasnoyarsk" +9063,"Nanjing Railway Station","Nanjing","China","",\N,32.088583,118.792189,29,8,"N","Asia/Chongqing" +9064,"Balkanabat","Balkanabat","Turkmenistan","BKN",\N,39.481389,54.362778,7,5,"N","Asia/Ashgabat" +9065,"Belmont Airport","Lake Macquarie","Australia","BEO","YPEC",-33.066667,151.648333,5,10,"O","Australia/Sydney" +9066,"Clayton County Tara Field","Hampton","United States","4A7","K4A7",33.389099,-84.332397,874,-5,"A","America/New_York" +9067,"Stapleton International Airport","Denver","United States","","DENX",39.779255,-104.88184,5333,-7,"A","America/Denver" +9068,"Brampton Island","Brampton Island","Australia","BMP","YBPI",-20.804444402073734,149.2794443842832,5,10,"O","Australia/Brisbane" +9069,"Shanghai Maglev Long Yang Road Station","Shanghai","China","",\N,31.202854,121.558335,16,8,"U","Asia/Chongqing" +9070,"Nuernberg Port","Nuernberg","Germany","",\N,49.392222,11.061944,990,1,"E","Europe/Berlin" +9071,"NAS Alameda","Alameda","United States","NGZ","KNGZ",37.7861,-122.3186,10,-8,"U","America/Los_Angeles" +9072,"Stein","Stein","Germany","",\N,49.406324,11.003054,984,1,"E","Europe/Berlin" +9073,"Dippenricht Heliport","Dippenricht","Germany","",\N,49.253972,11.363216,1400,1,"E","Europe/Berlin" +9074,"Lagoon Cove water aerodrome","Lagoon Cove","Canada","",\N,50.6,-126.3167,0,-8,"A","America/Vancouver" +9075,"Endelage West","Endelage","Denmark","","EKEL",55.75616,10.250716,0,1,"E","Europe/Copenhagen" +9076,"Flugplatz St. Johann in Tirol","St. Johann in Tirol","Austria","","LOIJ",47.517222,12.435833,2198,1,"E","Europe/Vienna" +9077,"Echo Bay water aerodrome","Echo Bay","Canada","",\N,50.45,-126.29,0,-8,"A","America/Vancouver" +9078,"Kingcome water aerodrome","Kingcome","Canada","",\N,50.58,-128.11,0,-8,"A","America/Vancouver" +9079,"Thalmaessing Waizenhofen","Thalmaessing","Germany","","EDPW",49.064444,11.208056,1893,1,"E","Europe/Berlin" +9080,"Tcentralny","Taganrog","Russia","","XRRC",47.246,38.84,183,4,"N","Europe/Moscow" +9081,"Buffalo Exchange Street Station","Buffalo","United States","",\N,42.8783,-78.8738,600,-5,"A","America/New_York" +9082,"Wilmington Amtrak Station","Wilmington","United States","ZWI",\N,39.736667,-75.551667,0,-5,"A","America/New_York" +9083,"Vagaru Island","Viceroy Resort","Maldives","",\N,6.089305,73.203857,5,5,"N","Indian/Maldives" +9084,"Fort McMurray - Mildred Lake Airport","Fort McMurray","Canada","NML",\N,57.055599,-111.573997,1046,-7,"A","America/Edmonton" +9085,"Genoa Cruise Terminal","Genova","Italy","",\N,44.40725,8.876301,0,1,"E","Europe/Rome" +9086,"Suzhou Industrial Park Railway Station","Suzhou","China","",\N,31.344444,120.706667,7,8,"N","Asia/Chongqing" +9087,"Elkhart Municipal","Elkhart","United States","EKI",\N,41.719444,-86.003333,778,-5,"A","America/New_York" +9088,"Cochrane","Cochrane","Canada","YCN","CYCN",49.106667,-81.015278,852,-5,"A","America/Toronto" +9089,"Aeroporto Estadual Arthur Siqueira","Braganca Paulista","Brazil","BJP","SBBP",-22.979167,-46.5375,3,-3,"S","America/Sao_Paulo" +9090,"Brusselton","Brusselton","Australia","BQB","YBLN",-33.687222,115.400278,55,8,"O","Australia/Perth" +9091,"Srednekolymsk","Srednekolymsk","Russia","","UESK",67.2748,153.4258,98,12,"N","Asia/Magadan" +9092,"Garowe - International","Garowe","Somalia","GGR",\N,8.24,48.29,553,3,"N","Africa/Mogadishu" +9093,"Salt Lake City Intermodal Hub","Salt Lake City","United States","","SLCR",40.762778,-111.908333,0,-7,"A","America/Denver" +9094,"Thorny Bush Game Lodge Airport","Hoedspruit","South Africa","",\N,-24.414722,31.165001,1900,2,"U","Africa/Johannesburg" +9095,"Inverell","Inverell","Australia","IVR","YIVL",-29.888333,151.144167,2667,10,"O","Australia/Sydney" +9096,"Glen Innes","Glen Innes","Australia","GLI","YGLI",-29.675,151.69,3433,10,"O","Australia/Sydney" +9097,"Hangzhou Railway Station","Hangzhou","China","",\N,30.246,120.1784,39,8,"N","Asia/Chongqing" +9098,"Sorrento Valley Station","San Diego","United States","",\N,32.903,-117.225,150,-8,"A","America/Los_Angeles" +9099,"San Diego Union Station","San Diego","United States","",\N,32.716944,-117.168611,50,-8,"A","America/Los_Angeles" +9100,"Petersdorf","Ansbach","Germany","","EDQF",49.216,10.4026,1370,1,"E","Europe/Berlin" +9101,"Venice-Venezia Mestre","Venice","Italy","",\N,45.48189,12.231923,0,1,"E","Europe/Rome" +9102,"Immokalee ","Immokalee ","United States","IMM","KIMM",26.433889,-81.401389,37,-5,"A","America/New_York" +9103,"Maranggo","Sulawesi Tenggara","Indonesia","","WA44",-5.76457,123.917,169,8,"N","Asia/Makassar" +9104,"Rancho San Simeon Airport","Cambria","United States","","66CA",35.607748,-121.110192,320,-8,"A","America/Los_Angeles" +9105,"Port Canaveral","Brevard County","United States","",\N,28.4113919,-80.6081066,0,-5,"A","America/New_York" +9106,"Cococay","Ragged Island","Bahamas","",\N,22.148056,-75.693333,0,-5,"A","America/Nassau" +9107,"Yichun Mingyueshan Airport","Yichun","China","YIC","ZSYC",27.8033,114.3081,131,8,"U","Asia/Chongqing" +9108,"Costa maya port","Costa maya","Mexico","",\N,18.714,-87.709,0,-6,"U","America/Mexico_City" +9109,"Costa maya port","Costa maya","Mexico","",\N,18.714,-87.709,0,-6,"U","America/Mexico_City" +9110,"Fajardo","Fajardo","Puerto Rico","",\N,18.32,-65.65,0,-4,"U","America/Puerto_Rico" +9111,"Billings field","Essex","Canada","",\N,42.199,-82.465,650,-5,"U","America/Toronto" +9112,"Hiberico Offshore Platform","Cuidad del Carmen","Mexico","",\N,19.398611,-92.016111,0,-6,"A",\N +9113,"Alpha offshore platform","Cork","Ireland","",\N,51.400377,-7.901464,0,0,"E",\N +9114,"Peterhof Helicopter Landing area","Saint-Petersburg","Russia","",\N,59.890529,29.894609,0,4,"U","Europe/Moscow" +9115,"Gogland Helicopter Landing","Gogland Island","Russia","",\N,60.011662,27.008236,0,4,"U",\N +9116,"New Carrollton Rail Station","New Carrollton","United States","ZRZ",\N,38.948,-76.8719,39,-5,"A","America/New_York" +9117,"Ship Channel Cay","Ship Channel Cay","Bahamas","",\N,24.819302,-76.824331,0,-5,"A","America/Nassau" +9118,"Walkersville Train Depot","Walkersville","United States","",\N,39.48618333333334,-77.35475,308,-5,"A","America/New_York" +9119,"Seattle Pier 69 - Victoria Clipper","Seattle","United States","",\N,47.613801,-122.354019,7,-8,"A","America/Los_Angeles" +9120,"Dinwiddie County Airport","Petersburg","United States","PTB","KPTB",37.18375,-77.507388,193,-5,"A","America/New_York" +9121,"Mount Aso helipad","Aso","Japan","",\N,32.884308,131.064638,1350,9,"N","Asia/Tokyo" +9122,"Mount Aso helipad","Aso","Japan","",\N,32.884308,131.064638,1350,9,"N","Asia/Tokyo" +9123,"Kasongo Lunda","Kasongo","Congo (Kinshasa)","KGN","FZOK",-6.583333,16.816668,0,1,"U","Africa/Kinshasa" +9124,"McMurdo Station Pegasus Field","McMurdo Station","Antarctica","","NZPG",-77.963333,166.524444,18,12,"Z","Antarctica/South_Pole" +9125,"Klatovy","Klatovy","Czech Republic","","LKKT",49.418327,13.321944,1299,1,"E","Europe/Prague" +9126,"Sheboygan County Memorial Airport","Sheboygan","United States","SBM","KSBM",43.7696,-87.851402,755,-6,"A","America/Chicago" +9127,"Dave Forest Airport","Cloudbreak","Australia","KFE","YFDF",-22.291945,119.437225,1555,8,"N","Australia/Perth" +9128,"Ephraim-Gibraltar Airport","Ephraim","United States","3D2",\N,45.1354167,-87.1879444,773,-6,"A","America/Chicago" +9129,"Kangel Danda Airport","Kangel Danda","Nepal","","VNKL",27.41667,86.64167,6880,5.75,"N","Asia/Katmandu" +9130,"Man Maya Airport","Khanidanda","Nepal","","VNKD",27.19028,86.77167,4435,5.75,"N","Asia/Katmandu" +9131,"Talcha Airport","Rara National Park","Nepal","","VNT1",29.43,81,0,5.75,"N","Asia/Katmandu" +9132,"Bajura Airport","Bajura","Nepal","BJU","VNBR",29.50611,81.66944,4606,5.75,"N","Asia/Katmandu" +9133,"Walkersville Turnaround","Frederick","United States","",\N,39.4449,-77.4012,302,-5,"A","America/New_York" +9134,"Airport Chara","Chara","Russia","","UIAR",56.912765,118.271007,671,10,"N","Asia/Yakutsk" +9135,"Tho Xuan Airport","Thanh Hoa","Vietnam","THD",\N,19.90167,105.46778,0,7,"N","Asia/Saigon" +9136,"Herning","Herning","Denmark","","EKHG",56.197224,9.147222,136,1,"E","Europe/Copenhagen" +9137,"Sonderlandeplatz Schleissheim","Schleissheim","Germany","","EDNX",48.239167,11.561389,1594,1,"E","Europe/Berlin" +9138,"Pinal Airpark","Marana","United States","MZJ","KMZJ",32.509722,-111.325278,1893,-7,"N","America/Phoenix" +9139,"Glendale Municipal Airport","Glendale","United States","GEU","KGEU",33.5269167,-112.2951389,1071,-7,"N","America/Phoenix" +9140,"Safford Regional Airport","Safford","United States","SAD","KSAD",32.8533333,-109.6350833,3179,-7,"N","America/Phoenix" +9141,"Verden Scharnhorst","Verden","Germany","","EDWV",52.965278,9.282778,144,1,"E","Europe/Berlin" +9142,"Mara North","Masai Mara","Kenya","",\N,-1.142636,35.139856,5468,3,"N","Africa/Nairobi" +9143,"Fort Lauderdale-Hollywood International Airport Station at Dania Beach","Dania Beach","United States","",\N,26.061933,-80.16565,9,-5,"A","America/New_York" +9144,"Deerfield Beach Station","Deerfield Beach","United States","",\N,26.316944,-80.122222,13,-5,"A","America/New_York" +9145,"Lecheo","Korinthos","Greece","",\N,37.92592,22.860228,60,2,"E","Europe/Athens" +9146,"Solomon Airport","Solomon","Australia","SLJ","YSOL",-22.255,117.85,2008,8,"N","Australia/Perth" +9147,"Bruck-Nittenau","Nittenau","Germany","","EDNM",49.2225,12.2967,1161,1,"E","Europe/Berlin" +9148,"Kerama Airport","Kerama","Japan","KJP","ROKR",26.168333,127.293333,156,9,"N","Asia/Tokyo" +9149,"Americana","Americana","Brazil","","SDAI",-22.7558,-47.269402,2085,-3,"S","America/Sao_Paulo" +9150,"Brussels Gare Centrale","Brussels","Belgium","",\N,50.84548,4.357174,43,1,"E","Europe/Brussels" +9151,"Comino Airport","Comino","Malta","JCO",\N,36.016,14.333,201,1,"E","Europe/Malta" +9152,"Udine stazione","Udine","Italy","",\N,46.04,13.14,1,1,"E","Europe/Rome" +9153,"Bratislava Hlavna Stanica","Bratislava","Slovakia","",\N,48.08,17.06,1,1,"E","Europe/Vienna" +9154,"Depati Parbo Airport","Sungai Penuh","Indonesia","",\N,1.881071,101.442261,2000,7,"U","Asia/Jakarta" +9155,"Kolosovka","Kolosovka","Russia","",\N,56.2752,73.3641,100,7,"U","Asia/Omsk" +9156,"Ekibastuz airport","Ekibastuz","Kazakhstan","","UASB",51.5723,75.2613,776,6,"N","Asia/Qyzylorda" +9157,"Znamenka airport","Znamenskoe","Russia","",\N,57.1523,73.7512,432,7,"E","Asia/Omsk" +9158,"Tevriz airport","Tevriz","Russia","",\N,57.5243,72.4653,456,7,"U","Asia/Omsk" +9159,"Besobe airport","Bestobe","Kazakhstan","",\N,52.4986,73.1434,645,6,"N","Asia/Qyzylorda" +9160,"Stepnogorsk airport","Stepnogorsk","Kazakhstan","",\N,52.3575,71.7865,432,6,"N","Asia/Qyzylorda" +9161,"Bekdash airport","Karabogaz","Turkmenistan","",\N,41.5397,52.5711,12,5,"U","Asia/Ashgabat" +9162,"Adamovka","Adamovka","Russia","","UWOD",51.4929,59.92752,931,6,"N","Asia/Yekaterinburg" +9163,"Kvarkeno","Kvarkeno","Russia","","UWOH",52.078333,59.683333,305,6,"U","Asia/Yekaterinburg" +9164,"Sikeston Memorial Municipal","Sikeston","United States","SIK","KSIK",36.8988889,-89.56175,315,-6,"A","America/Chicago" +9165,"Nynashamn Ferry Port","Nynashamn","Sweden","NYN",\N,58.9,17.95,0,1,"E","Europe/Stockholm" +9166,"Rodby Port","Rodby","Denmark","ROD",\N,54.65,11.35,0,1,"E","Europe/Copenhagen" +9167,"Puttgarden","Puttgarden","Germany","QUA",\N,54.5,11.2167,0,1,"E","Europe/Berlin" +9168,"Sonevafushi","Sonevafushi","Maldives","",\N,5.112336,73.07805,0,5,"U","Indian/Maldives" +9169,"Royal Island Resort","Royal Island Resort","Maldives","",\N,5.162911,73.053578,0,5,"U","Indian/Maldives" +9170,"Royal Island Resort","Royal Island Resort","Maldives","",\N,5.162911,73.053578,0,5,"U","Indian/Maldives" +9171,"Port of Belfast","Belfast","United Kingdom","BE2",\N,54.6178,-5.9017,0,0,"E","Europe/London" +9172,"Stranraer Ferry Port","Stranraer","United Kingdom","SR2",\N,54.902,-5.027,0,0,"E","Europe/London" +9173,"Oceano County Airport","Oceano","United States","L52","KL52",35.10147222,-120.62236111,14,-8,"U","America/Los_Angeles" +9174,"Eupen - Rail","Eupen","Belgium","",\N,50.3743,6.0201,1000,1,"E","Europe/Brussels" +9175,"Tetiaroa Airport","Tetiaroa","French Polynesia","TTI","NTTE",-17.0132999,-149.5870056,0,-10,"N","Pacific/Tahiti" +9176,"Osnabrueck Hbf","Osnabrueck","Germany","",\N,52.272778,8.061111,207,1,"E","Europe/Berlin" +9177,"Hannover Hbf","Hannover","Germany","",\N,52.366667,9.716667,180,1,"E","Europe/Berlin" +9178,"Floyd Bennett Memorial Airport","Queensbury","United States","GFL","KGFL",43.341222,-73.610305,328,-5,"A","America/New_York" +9179,"Saratoga County Airport","Ballston Spa","United States","5B2","K5B2",43.050722,-73.861638,433,-5,"A","America/New_York" +9180,"Burrello-Mechanicville Airport","Mechanicville","United States","K27",\N,42.893133,-73.66845,195,-5,"A","America/New_York" +9181,"Tampa Padang","Mamuju","Indonesia","MJU","WAWJ",-2.583333,119.033333,2,8,"N","Asia/Makassar" +9182,"Crystal River","Crystal River","United States","CGC","KCGC",28.8676111,-82.5741111,9,-5,"A","America/New_York" +9183,"Martin State","Baltimore","United States","MTN","KMTN",39.3256667,-76.4137778,22,-5,"A","America/New_York" +9184,"Lincoln Regional Airport Karl Harder Field","Lincoln","United States","LHM","KLHM",38.9091667,-121.3513333,121,-8,"A","America/Los_Angeles" +9185,"Fostoria Metropolitan Airport","Fostoria","United States","FZI","KFZI",41.1908333,-83.3930833,752,-5,"A","America/New_York" +9186,"Eastern Slopes Regional","Fryeburg","United States","IZG","KIZG",43.9911389,-70.9478889,455,-5,"A","America/New_York" +9187,"Coral Creek","Placida","United States","","FA54",26.8537417,-82.2526028,8,-5,"A","America/New_York" +9188,"Lakefront","New Orleans","United States","NEW","KNEW",30.0424167,-90.02825,7,-6,"A","America/Chicago" +9189,"Pappy Boyington","Coeur d'Alene","United States","COE","KCOE",47.7743056,-116.8195833,2320,-8,"A","America/Los_Angeles" +9190,"Beaumont Municipal","Beaumont","United States","BMT","KBMT",30.0702044,-94.2150967,32,-6,"A","America/Chicago" +9191,"Vermilion Regional","Danville","United States","DNV","KDNV",40.1996944,-87.5955278,696,-6,"A","America/Chicago" +9192,"Varberg Railway Station","Varberg","Sweden","",\N,57.107118,12.2520907,0,1,"E","Europe/Stockholm" +9193,"Coonabarabran","Coonabarabran","Australia","COJ","YCBB",-31.337221,149.27194,2117,10,"O","Australia/Sydney" +9194,"Toronto Union Station","Toronto","Canada","",\N,43.645278,-79.380556,249,-5,"A","America/Toronto" +9195,"Windsor Station","Windsor","Canada","",\N,42.3254,-83.0092,623,-5,"A","America/Toronto" +9196,"Dearborn Amtrak Station","Dearborn","United States","",\N,42.312222,-83.198611,591,-5,"A","America/New_York" +9197,"Merritt Island Airport","Cocoa","United States","COI",\N,28.3416111,-80.6854722,6,-5,"A","America/New_York" +9198,"Valkaria Municipal","Valkaria","United States","X59",\N,27.9608611,-80.5583333,26,-5,"A","America/New_York" +9199,"Space Coast Reg'l Airport","Titusville","United States","TIX",\N,28.5148,-80.7992278,34,-5,"A","America/New_York" +9200,"Sebastian Municipal","Sebastian","United States","X26",\N,27.81325,-80.4955833,21,-5,"A","America/New_York" +9201,"Terrace Bay","Terrace Bay","Namibia","TCY",\N,-19.9705556,13.0244444,0,1,"N","Africa/Windhoek" +9202,"Nxabega Airstrip","Nxabega","Botswana","","FB57",-19.5147,22.77665,3100,2,"U","Africa/Gaborone" +9203,"Kelani River-Peliyagoda Waterdrome","Colombo","Sri Lanka","KEZ",\N,6.967463700288899,79.88197231301456,28,5.5,"N","Asia/Colombo" +9204,"Polgolla Reservoir","Kandy","Sri Lanka","KDZ",\N,7.325125009685146,80.64211571225314,1472,5.5,"N","Asia/Colombo" +9205,"Bumi","Bumi Hills","Zimbabwe","","FVBM",-16.81685727384918,28.348887920401467,1633,2,"N","Africa/Harare" +9206,"Priv","Lagos","Portugal","",\N,37.096744,-8.663535,0,0,"E","Europe/Lisbon" +9207,"Warnervale Airport","Warnervale Airport","Australia","","YWVA",-33.240833,151.427778,25,10,"U","Australia/Sydney" +9208,"Boat","Hati","Haiti","",\N,19.15,-73,0,-5,"N","America/Port-au-Prince" +9209,"Boat","Hati","Haiti","",\N,19.1,-73,0,-5,"N","America/Port-au-Prince" +9210,"Cartitas","Hati","Haiti","",\N,18.55,-72.3,50,-5,"N","America/Port-au-Prince" +9211,"Boat","Hati","Haiti","",\N,19,-73,0,-5,"N","America/Port-au-Prince" +9212,"Hospital","Port Au Prince","Haiti","",\N,18.5501,-72.3001,50,-5,"N","America/Port-au-Prince" +9213,"Clinic","Saint Marc","Haiti","",\N,19.1001,-72.7001,30,-5,"N","America/Port-au-Prince" +9214,"Village","Dodard","Haiti","",\N,19.0661,-72.3001,2639,-5,"N","America/Port-au-Prince" +9215,"Bouarfa International","Bouarfa","Morocco","","GMFB",32.518889,-1.9775,3564,0,"N","Africa/Casablanca" +9216,"Beijing West Railway Station","Beijing","China","",\N,39.8955463,116.3201722,167,8,"N","Asia/Chongqing" +9217,"Hung Hom Railway Station","Hong Kong","Hong Kong","",\N,22.303067,114.18152699999996,39,8,"N","Asia/Hong_Kong" +9218,"NYERI","NYERI","Kenya","NYE","HKNI",-0.34,36.91,5830,3,"U","Africa/Nairobi" +9219,"Angaga Seaplane Dock","Alifu Dhaalu Atoll","Maldives","",\N,3.652859,72.824086,2,5,"N","Indian/Maldives" +9220,"Madoogali Seaplane Dock","Alifu Atoll","Maldives","",\N,4.0956,72.753439,2,5,"N","Indian/Maldives" +9221,"Effingham Memorial Airport","Effingham","United States","1H2","KEFH",39.07,-88.534,585,-6,"A","America/Chicago" +9222,"Stoke","Stoke-on-Trent","United Kingdom","",\N,53,2.18333,500,0,"E",\N +9223,"Tobermory Dock","Tobermory","Canada","",\N,45.2578121,-81.6637838,1335,-5,"A","America/Toronto" +9224,"South Baymouth Docks","South Baymouth","Canada","",\N,45.5564479,-82.0071535,1335,-5,"A","America/Toronto" +9225,"Andrau Airport","Houston","United States","AAP","KAAP",29.43,-95.35,80,-6,"A","America/Chicago" +9226,"Flying Cloud Airport","Eden Prairie","United States","FCM","KFCM",44.4938,-93.2726,906,-6,"A","America/Chicago" +9227,"Likoma Island Airport","Likoma Island","Malawi","LIX","FWLK",-12.083,34.733001,1600,2,"N","Africa/Blantyre" +9228,"Johnson County Airport","Olathe","United States","OJC","KOJC",38.5051,-94.4415,1096,-6,"A","America/Chicago" +9229,"Sigiriya Airport","Sigiriya","Sri Lanka","GIU","VCCS",7.57212,80.43412,630,5.5,"N","Asia/Colombo" +9230,"Westbahnhoff","Vienna","Austria","XWW",\N,48.196667,16.337778,600,1,"E","Europe/Vienna" +9231,"York Mills GO Bus Terminal","York Mills","Canada","",\N,43.745,-79.406389,449,-5,"A","America/Toronto" +9232,"Neumuenster","Neumuenster","Germany","EUM","EDHN",54.079069,9.941719,69,1,"E","Europe/Berlin" +9233,"Tak","Tak","Thailand","TKT","VTPT",16.89611,99.25361,478,7,"N","Asia/Bangkok" +9234,"Marshall Aiport","Marshall","United States","",\N,44.4469,95.7883,354,8,"A","Asia/Ulaanbaatar" +9235,"Meedhuffushi Seaplane dock","Meedhuffushi Island","Maldives","",\N,3.003899,73.000696,0,5,"U","Indian/Maldives" +9236,"Lake Simcoe","Barrie-Orillia","Canada","YLS","CYLS",44.487778,-79.559444,972,-5,"A","America/Toronto" +9237,"Huronia","Midland","Canada","YEE","CYEE",44.684722,-79.929167,773,-5,"A","America/Toronto" +9238,"Markham","Markham","Canada","NU8","CNU8",43.935278,-79.263333,807,-5,"A","America/Toronto" +9239,"Stanhope","Haliburton","Canada","ND4","CND4",45.110833,-78.64,1066,-5,"A","America/Toronto" +9240,"Lindsay","Lindsay","Canada","NF4","CNF4",44.364722,-78.783889,895,-5,"A","America/Toronto" +9241,"Niagara District","Saint Catherines","Canada","YCM","CYSN",43.191667,-79.171111,321,-5,"A","America/Toronto" +9242,"Apopka","Orlando","United States","X04",\N,28.707222,-81.581667,143,-5,"A","America/New_York" +9243,"Edenvale","Edenvale","Canada","","CNV8",44.438889,-79.965278,718,-5,"A","America/Toronto" +9244,"Orillia","Orillia","Canada","","CNJ4",44.683333,-79.316667,725,-5,"A","America/Toronto" +9245,"Holland Landing","Holland Landing","Canada","","CLA4",44.089444,-79.495,855,-5,"A","America/Toronto" +9246,"Kent","Chatham","Canada","XCM","CNZ3",42.306111,-82.081667,645,-5,"A","America/Toronto" +9247,"Parry Sound","Parry Sound","Canada","YPD","CNK4",45.253889,-79.827778,830,-5,"A","America/Toronto" +9248,"Saugeen","Hanover","Canada","","CYHS",44.158056,-81.063333,940,-5,"A","America/Toronto" +9249,"Brandywine Airport","West Goshen Township","United States","OQN","KOQN",39.5924,-75.3455,466,-5,"A","America/New_York" +9250,"Batoka","Livingston","Zambia","",\N,-17.53,25.5,3235,2,"U","Africa/Lusaka" +9251,"Manassas","Manassas","United States","MNZ","KHEF",38.721389,-77.515556,192,-5,"A","America/New_York" +9252,"Texas Gulf Coast Regional","Angleton","United States","","KLBX",29.1086389,-95.4620833,25,-6,"A","America/Chicago" +9253,"Bubovice","Bubovice","Czech Republic","","LKBU",49.974422,14.180801,1385,1,"E","Europe/Prague" +9254,"Shenzhen Railway Station","Shenzhen","China","",\N,22.5344,114.1121,67,8,"N","Asia/Chongqing" +9255,"Rakkestad Flyplass","Rakkestad","Norway","","ENRK",59.3975,11.3469,381,1,"E","Europe/Oslo" +9256,"Johnstown Amtrak","Johnstown","United States","",\N,40.3297222,-78.9222222,1142,-5,"A","America/New_York" +9257,"Harvey Field S43","Snohomish WA","United States","",\N,47.904451,-122.102529,22,-8,"A","America/Los_Angeles" +9258,"Urgup","Urgup","Turkey","",\N,38.606239,34.860276,4000,2,"E","Europe/Istanbul" +9259,"Dolo Ado","Dolo Ado","Ethiopia","",\N,4.175858,42.034083,630,3,"U","Africa/Addis_Ababa" +9260,"AYaou","Yaou","French Guiana","",\N,3.724286,-53.974698,0,-3,"N","America/Cayenne" +9261,"Camop","Camopi","French Guiana","",\N,3.17004,-52.337801,0,-3,"N","America/Cayenne" +9262,"CApat","Croisee d Apatou","French Guiana","",\N,5.04305,-54.0425,0,-3,"N","America/Cayenne" +9263,"Citro","Citron","French Guiana","",\N,4.730072,-53.95158,0,-3,"N","America/Cayenne" +9264,"DieuM","Dieu Merci","French Guiana","",\N,4.782964,-53.260539,0,-3,"N","America/Cayenne" +9265,"Dorli","Dorlin","French Guiana","",\N,3.7353,-53.5287,0,-3,"N","America/Cayenne" +9266,"Elyse","Elysee","French Guiana","",\N,4.75,-54.05,0,-3,"N","America/Cayenne" +9267,"Herap","Morsbach","France","",\N,49.160592,6.864892,0,1,"E","Europe/Paris" +9268,"OSMSE","Saint Elie","French Guiana","",\N,4.81444,-53.28833,0,-3,"N","America/Cayenne" +9269,"Prevo","Remire","French Guiana","",\N,4.89333,-52.29222,0,-3,"N","America/Cayenne" +9270,"Sisli Belediyesi Evlendirme Dairesi Heliport","Istanbul","Turkey","",\N,41.0410805,28.9923138,100,2,"E","Europe/Istanbul" +9271,"Kadikoy Ispark Heliport","Istanbul","Turkey","",\N,40.989305,29.018833,100,2,"E","Europe/Istanbul" +9272,"Bingol","Bingol","Turkey","BGG","LTCU",38.86111,40.5925,3490,2,"E","Europe/Istanbul" +9273,"Uzunyazi","Kastamonu","Turkey","KFS","LTAL",41.316944,33.796111,3520,2,"E","Europe/Istanbul" +9274,"Okawango Lodge","Okawango","Botswana","",\N,-19.25,23.09,3100,2,"N","Africa/Gaborone" +9275,"Kai Tak","Hong Kong","Hong Kong","","HKGX",22.317883,114.202108,50,8,"U","Asia/Hong_Kong" +9276,"Elstree","Elstree","United Kingdom","","EGTR",51.4807,-0.00093,250,0,"E","Europe/London" +9277,"Sandtoft Airfield","Sandtoft","United Kingdom","","EGCF",53.559444,-0.858332,11,0,"E","Europe/London" +9278,"Bourne Park","Hurtsbourne Tarrant","United Kingdom","",\N,51.264449,-1.461975,550,0,"E","Europe/London" +9279,"Hite Airport","Hanksville","United States","UT3",\N,37.8916547,-110.3840289,3840,-7,"A","America/Denver" +9280,"Dieppe Ferry Port","Dieppe","France","",\N,49.933616,1.088039,0,1,"E","Europe/Paris" +9281,"Newhaven Ferry Port","Newhaven","United Kingdom","",\N,50.790385,0.054551,0,0,"E","Europe/London" +9282,"Ollantaytambo Train Station","Ollantaytambo","Peru","",\N,-13.263155,-72.270291,9160,-5,"N","America/Lima" +9283,"Aguas Calientes Train Station","Aguas Calientes","Peru","",\N,-13.1556,-72.5238,6693,-5,"N","America/Lima" +9284,"Poroy Train Station","Cusco","Peru","",\N,-13.4944,-72.0421,11710,-5,"N","America/Lima" +9285,"Aberdeen Harbour","Aberdeen","United Kingdom","",\N,57.13967,-2.07467,0,0,"E","Europe/London" +9286,"Lerwick Harbour","Lerwick","United Kingdom","",\N,60.15,-1.13333,0,0,"E","Europe/London" +9287,"Torshavn Harbour","Torshavn","Faroe Islands","",\N,62.0057,-6.7717,0,0,"E","Atlantic/Faeroe" +9288,"Seydisfjordur","Seydisfjordur","Iceland","",\N,65.26016,-14.00905,0,0,"E","Atlantic/Reykjavik" +9289,"Queen Street Station","Glasgow","United Kingdom","GLQ",\N,55.8622,-4.2512,50,0,"E","Europe/London" +9290,"Torit","Torit","South Sudan","","HSTR",4.411111,32.578889,2018,3,"N","Africa/Juba" +9291,"Falmouth Port","Falmouth","Jamaica","",\N,18.492762,-77.649675,0,-5,"N","America/Jamaica" +9292,"Cozumel Port","Cozumel","Mexico","",\N,20.510439,-86.94925,0,-6,"A","America/Mexico_City" +9293,"Philipsburg Port","Philipsburg","Netherlands Antilles","",\N,18.012868,-63.045242,0,-4,"N","America/Curacao" +9294,"Basseterre Port","Basseterre","Saint Kitts and Nevis","",\N,17.290464,-62.709473,0,-4,"N","America/St_Kitts" +9295,"Charlotte Amalie Port","Charlotte Amalie","Virgin Islands","",\N,18.335431,-64.926824,0,-4,"N","America/St_Thomas" +9296,"San Juan Port","San Juan","Puerto Rico","",\N,18.458992,-66.097693,0,-4,"N","America/Puerto_Rico" +9297,"Santa Barbara Train Station","Santa Barbara","United States","",\N,34.413611,-119.691667,8,-8,"A","America/Los_Angeles" +9298,"Eugene Amtrak Station","Eugene","United States","",\N,44.055062,-123.092372,426,-8,"A","America/Los_Angeles" +9299,"Lincolnville GO Station","Lincolnville","Canada","",\N,43.995278,-79.233333,873,-5,"A","America/Toronto" +9300,"Mormugao-Goa Port","Mormugao","India","",\N,15.4,73.8,0,5.5,"N","Asia/Calcutta" +9301,"Cochin Port","Cochin","India","",\N,9.58,76.14,0,5.5,"N","Asia/Calcutta" +9302,"Penang Cruise Terminal","Penang","Malaysia","",\N,5.418828,100.345804,0,8,"N","Asia/Kuala_Lumpur" +9303,"Port Klang-Kuala Lumpur Cruise Terminal","Port Klang","Malaysia","",\N,2.984629,101.336839,0,8,"N","Asia/Kuala_Lumpur" +9304,"Singapore Cruise Terminal","Singapore","Singapore","",\N,1.264185,103.819821,0,8,"N","Asia/Singapore" +9305,"Shelby County Airport","Shelbyville","United States","2H0","K2H0",39.410556,-88.845556,550,-6,"A","America/Chicago" +9306,"Illinois Terminal","Champaign","United States","",\N,40.1155,-88.2411,732,-6,"A","America/Chicago" +9307,"Mattoon Amtrak","Mattoon","United States","",\N,39.4828,-88.3759,733,-6,"A","America/Chicago" +9308,"Dawu","Lvliang","China","LLV",\N,37.683333,111.142778,3020,8,"N","Asia/Chongqing" +9309,"Delft Central","Delft","Netherlands","",\N,52.006667,4.356667,0,1,"E","Europe/Amsterdam" +9310,"Yading Daocheng","Daocheng","China","DCY","ZUDC",29.3231,100.0533,14472,8,"N","Asia/Chongqing" +9311,"Gannan","Xiahe city","China","GXH","ZLXH",34.4909,102.3719,10466,8,"N","Asia/Chongqing" +9312,"Komandoo","Komandoo","Maldives","",\N,5.494003,73.424183,0,5,"N","Indian/Maldives" +9313,"Komandoo","Komandoo","Maldives","",\N,5.494003,73.424183,0,5,"N","Indian/Maldives" +9314,"Meck Island Airstrip","Meck Island","Marshall Islands","",\N,9,167.726944,10,12,"Z","Pacific/Majuro" +9315,"Sormovo","Nizhny Novgorod","Russia","","XUDS",56.1906,43.4742,210,4,"N","Europe/Moscow" +9316,"Grand Canyon West Airport","Peach Springs","United States","1G4",\N,35.899904,-113.815674,4813,-7,"A","America/Phoenix" +9317,"Vangso","Vangso","Sweden","","ESSZ",59.13333,17.25,10,1,"E","Europe/Stockholm" +9318,"Yaroslavsky Station","Moscow","Russia","",\N,55.776,37.658,400,4,"N","Europe/Moscow" +9319,"Railway Station","Perm","Russia","",\N,58.0203,56.2525,558,6,"N","Asia/Yekaterinburg" +9320,"Railway Station","Novosibirsk","Russia","",\N,55.0188,82.9339,531,7,"N","Asia/Omsk" +9321,"Railway Station","Ulan Bator","Mongolia","",\N,47.92,106.92,4300,8,"N","Asia/Ulaanbaatar" +9322,"Main Station","Beijing","China","",\N,39.9,116.421,130,8,"N","Asia/Chongqing" +9323,"Railway Station","Irkutsk","Russia","",\N,52.3122,104.2958,1305,9,"N","Asia/Irkutsk" +9324,"Kuredu ","Kuredu","Maldives","",\N,5.3244,73.3756,10,5,"U","Indian/Maldives" +9325,"Heliport NUS","Umea","Sweden","",\N,63.817,20.2981,100,1,"E","Europe/Stockholm" +9326,"Heliport SU","Sundsvall","Sweden","",\N,62.4077,17.3024,10,1,"E","Europe/Stockholm" +9327,"Comiso","Comiso","Italy","CIY","LICB",37,14.6144,756,1,"E","Europe/Rome" +9328,"Leroo La Tau","Leroo La Tau","Botswana","",\N,-20.422617,24.517433,1000,2,"U","Africa/Gaborone" +9329,"Xaxanaka","Xaxanaka","Botswana","",\N,-19.198083,23.431383,1000,2,"U","Africa/Gaborone" +9330,"Xugana","Xugana","Botswana","",\N,-19.068,23.10015,1000,2,"U","Africa/Gaborone" +9331,"Nxamaseri","Nxamaseri","Botswana","",\N,-18.597283,21.999267,1000,2,"U","Africa/Gaborone" +9332,"Kwando","Kwando","Botswana","",\N,-18.208717,23.396733,1000,2,"U","Africa/Gaborone" +9333,"Boston North Station","Boston","United States","",\N,42.366235,-71.061122,141,-5,"A","America/New_York" +9334,"Rockport Station","Rockport","United States","",\N,42.6558328,-70.6266667,77,-5,"A","America/New_York" +9335,"Salem Station","Salem","United States","",\N,42.5249995,-70.8958333,26,-5,"A","America/New_York" +9336,"Salem Ferry Dock","Salem","United States","",\N,42.522421,-70.881607,26,-5,"A","America/New_York" +9337,"Long Wharf","Boston","United States","",\N,42.36024,-71.048105,16,-5,"A","America/New_York" +9338,"Joliet Union Station","Joliet","United States","",\N,41.5244,-88.0795,532,-6,"A","America/Chicago" +9339,"Laraway Road","New Lenox","United States","",\N,41.485,-87.9596,703,-6,"A","America/Chicago" +9340,"Lasalle Station","Chicago","United States","",\N,41.875,-87.632,592,-6,"A","America/Chicago" +9341,"Waterloo International","London","United Kingdom","",\N,51.5031,-0.1147,10,0,"E","Europe/London" +9342,"Norfolk Station","Norfolk","United States","",\N,36.843233,-76.275952,16,-5,"A","America/New_York" +9343,"London Railway Station","London","Canada","",\N,42.9819,-81.2464,0,-5,"A","America/Toronto" +9344,"Gloucester Station","Gloucester","United States","",\N,42.61666666666667,-70.66833333333334,50,-5,"A","America/New_York" +9345,"Kitchener Bus Terminal","Kitchener","Canada","",\N,43.44968,-80.49222,1083,-5,"A","America/Toronto" +9346,"Gare du Palais","Quebec","Canada","",\N,46.8174,-71.2139,13,-5,"A","America/Toronto" +9347,"Johnstown Amtrak","Johnstown","United States","",\N,40.3296,-78.9219,1168,-5,"A","America/New_York" +9348,"Enumclaw Airport","Enumclaw","United States","","WA77",47.1956569,-122.0220561,738,-8,"A","America/Los_Angeles" +9349,"Rock Airport","Tarentum","United States","9G1",\N,40.6035463,-79.8261189,1063,-5,"A","America/New_York" +9350,"Grand Central Terminal","New York","United States","",\N,40.752726,-73.977229,70,-5,"A","America/New_York" +9351,"Tremont","New York","United States","",\N,40.847301,-73.89955,200,-5,"A","America/New_York" +9352,"Plum Island Airport","Newburyport","United States","2B2",\N,42.7953611,-70.8394444,11,-5,"A","America/New_York" +9353,"Brooks Camp","Brooks Camp","United States","",\N,58.556539,-155.777311,100,-9,"A","America/Anchorage" +9354,"Kulik Lake Airport","Kulik Lake","United States","LKK",\N,58.96591,-155.108089,1000,-9,"U","America/Anchorage" +9355,"Central Station","Glasgow","United Kingdom","ZGG",\N,55.858,-4.258,25,0,"E","Europe/London" +9356,"Euston Station","London","United Kingdom","QQU",\N,51.5284,-0.1331,89,0,"E","Europe/London" +9357,"Waterloo International","London","United Kingdom","QQW",\N,51.5031,-0.1147,10,0,"E","Europe/London" +9358,"Belorussky Station","Moscow","Russia","",\N,55.7764,37.5803,400,4,"N","Europe/Moscow" +9359,"Railway Station","Omsk","Russia","",\N,54.9833,73.3667,285,7,"N","Asia/Omsk" +9360,"Railway Station","Krasnoyarsk","Russia","",\N,56.0167,93.0667,446,8,"N","Asia/Krasnoyarsk" +9361,"Railway Station","Naushki","Russia","",\N,50.3827,106.1056,1975,9,"N","Asia/Irkutsk" +9362,"Railway Station","Erlian","China","",\N,43.65,111.9833,3159,8,"N","Asia/Chongqing" +9363,"Guangzhoudong Railway Station","Guangzhou","China","",\N,23.149554,113.32479,0,8,"U","Asia/Chongqing" +9364,"Domodedovo","Moscow","Russia","",\N,55.442,37.763,207,4,"U","Europe/Moscow" +9365,"Levashovo","St. Petersburg","Russia","","XLLV",60.08738,30.19152,59,4,"E","Europe/Moscow" +9366,"Kettle Falls Lodge","Minaki","Canada","",\N,50.349812,-94.583456,180,-6,"A","America/Winnipeg" +9367,"Severobajkalsk Port","Severobajkalsk","Russia","",\N,55.4209,109.3225,500,9,"U","Asia/Irkutsk" +9368,"Vanino-Port","Vanino","Russia","",\N,49.093,140.285,20,11,"U","Asia/Vladivostok" +9369,"Holmsk-Port","Holmsk","Russia","",\N,47.040278,142.043056,29,11,"U","Asia/Vladivostok" +9370,"Nogliki","Nogliki","Russia","",\N,51.816667,143.116667,10,11,"U","Asia/Vladivostok" +9371,"Markovo Airport","Markovo","Russia","KVM","UHMO",64.665278,170.414167,89,12,"E","Asia/Magadan" +9372,"Seymchan Airport","Seymchan","Russia","","UHMS",62.919167,152.421667,679,12,"E","Asia/Magadan" +9373,"Zyryanka West Airport","Zyryanka","Russia","ZKP","UESU",65.736389,150.700278,118,12,"E","Asia/Magadan" +9374,"Susuman Airport","Susuman","Russia","","UHMH",62.767222,148.146111,2129,12,"E","Asia/Magadan" +9375,"OYMYAKON","OYMYAKON","Russia","","UEMY",63.45,142.783333,2431,11,"E","Asia/Vladivostok" +9376,"Ust-Maya Airport","Ust-Maya","Russia","UMS","UEMU",60.358056,134.437778,561,10,"E","Asia/Yakutsk" +9377,"Aldan Airport","Aldan","Russia","ADH","UEEA",58.603056,125.407222,2241,10,"E","Asia/Yakutsk" +9378,"Olekminsk Airport","Olekminsk","Russia","","UEMO",60.399167,120.464167,426,10,"E","Asia/Yakutsk" +9379,"Vitim Airport","Vitim","Russia","","UERT",59.457778,112.562778,610,10,"E","Asia/Yakutsk" +9380,"Pellworm","Pellworm","Germany","","EDHP",54.536431,8.67994,10,1,"E","Europe/Berlin" +9381,"Tynda","Tynda","Russia","",\N,55.1512,124.716667,350,10,"U","Asia/Yakutsk" +9382,"Tommot","Tommot","Russia","",\N,58.966667,126.266667,280,10,"U","Asia/Yakutsk" +9383,"Etretat","Etretat","France","",\N,49.701,0.205,102,1,"E","Europe/Paris" +9384,"Le Havre","Le Havre","France","",\N,49.4901,0.1001,13,1,"E","Europe/Paris" +9385,"Weimar","Weimar","Germany","",\N,50.983333,11.316667,208,1,"E","Europe/Berlin" +9386,"Nalati","Xinyuan","China","NLT","ZWNL",43.433056,83.380278,0,8,"U","Asia/Chongqing" +9387,"Port Alsworth Airport","Port alsworth","United States","PTA","PALJ",60.208281,-154.306586,253,-9,"A","America/Anchorage" +9388,"Fontaine Airport","Belfort","France","BOR","LFSQ",47.6556015,7.0108299,3663,1,"E","Europe/Paris" +9389,"Pampulha","Belo Horizonte","Brazil","BHZ",\N,-19.8517,-43.9508,8708,-3,"S","America/Sao_Paulo" +9390,"Fairfield County Airport","Winnsboro","United States","FDW","KFDW",34.315472,-81.108806,577,-5,"A","America/New_York" +9391,"Obock","Obock","Djibouti","OBC","HDOB",11.968333,43.278611,69,3,"N","Africa/Djibouti" +9392,"Tadjoura","Tadjoura","Djibouti","TDJ","HDTJ",11.783,42.917,246,3,"N","Africa/Djibouti" +9393,"Santa Cruz des Quiche Airport","Santa Cruz des Quiche","Guatemala","AQB","MGQC",15.0122004,-91.1505966,6631,-6,"S","America/Guatemala" +9394,"Nordfjordur Airport","Nordfjordur","Iceland","NOR","BINF",65.131897,-13.7463999,3648,0,"E","Atlantic/Reykjavik" +9395,"Bursa Airport","Bursa","Turkey","BTZ","LTBE",40.2332993,29.0091991,772,2,"U","Europe/Istanbul" +9396,"Skyhaven Airport","Rochester","United States","DAW","KDAW",43.2840556,-70.9292778,321,-5,"A","America/New_York" +9397,"Waris Airport","Waris-Papua Island","Indonesia","WAR","WAJR",-3.22243,140.9790039,1224,9,"U","Asia/Jayapura" +9398,"Port Oceanic Airport","Port Oceanic","United States","PRL",\N,60.2083333,-147.8194444,142,-9,"A","America/Anchorage" +9399,"Newton City-County Airport","Newton","United States","EWK","KEWK",38.0570785,-97.2752278,1533,-6,"A","America/Chicago" +9400,"La Ferte Alais Airport","La Ferte Alais","France","","LFFQ",48.497799,2.34333,453,1,"E","Europe/Paris" +9401,"Angguruk airstrip","Angguruk","Indonesia","",\N,-4.2001,139.4329,4200,9,"U","Asia/Jayapura" +9402,"Bairnsdale Airport","Bairnsdale","Australia","BSJ","YBNS",-37.8875,147.567778,165,10,"O","Australia/Hobart" +9403,"Bolton Field","Columbus","United States","TZR","KTZR",39.901111,-83.136944,905,-5,"A","America/New_York" +9404,"Ocean Shores Municipal","Ocean Shores","United States","W04","KW04",46.5995,-124.0854,15,-8,"A","America/Los_Angeles" +9405,"Packwood","Packwood","United States","55S","K55S",46.3625,-121.4067,1057,-8,"A","America/Los_Angeles" +9406,"Fort Bridger","Fort Bridger","United States","FBR","KFBR",41.236,-110.2436,7038,-7,"A","America/Denver" +9407,"Prosser","Prosser","United States","S40","KS40",46.128,-119.4773,705,-8,"A","America/Los_Angeles" +9408,"Chehalis-Centralia","Chehalis","United States","CLS","KCLS",46.4062,-122.5897,177,-8,"A","America/Los_Angeles" +9409,"Desert Aire","Mattawa","United States","M94","KM94",46.4124,-119.5518,586,-8,"A","America/Los_Angeles" +9410,"Lebanon State","Lebanon","United States","S30","KS30",44.3179,-122.5577,344,-8,"A","America/Los_Angeles" +9411,"Evanston-Uinta CO Burns Fld","Evanston","United States","EVW","KEVW",41.1649,-111.0208,7143,-7,"A","America/Denver" +9412,"Sabetha Municipal","Sabetha","United States","K83","KK83",39.5425,-95.4677,1330,-6,"A","America/Chicago" +9413,"Mount Pleasant Regional-Faison Field","Mount Pleasant","United States","LRO","KLRO",32.5387,-79.4697,12,-5,"A",\N +9414,"Jimmy Carter Regional","Americus","United States","ACJ","KACJ",32.0665,-84.1133,468,-5,"A","America/New_York" +9415,"Weedon Field","Eufala","United States","EUF","KEUF",31.5708,-85.0774,285,-6,"A","America/Chicago" +9416,"Saluda County","Saluda","United States","6J4","K6J4",33.5561,-81.4768,539,-5,"A","America/New_York" +9417,"Dare County Regional","Manteo","United States","MQI","KMQI",35.5514,-75.4173,13,-5,"A","America/New_York" +9418,"Auburn University Regional","Auburn","United States","AUO","KAUO",32.3691,-85.2604,777,-6,"A","America/Chicago" +9419,"Tri-Cities","Endicott","United States","CZG","KCZG",42.0471,-76.0578,833,-5,"A","America/New_York" +9420,"Isla Culebrita","Culebrita","Puerto Rico","",\N,18.31206,-65.228405,10,-4,"U","America/Puerto_Rico" +9421,"Culebrita","Isla Culebrita","Puerto Rico","",\N,18.31206,-65.228405,10,-4,"U","America/Puerto_Rico" +9422,"Apollo Bay","Apollo Bay","Australia","",\N,-38.758827,143.676624,10,10,"U","Australia/Hobart" +9423,"Zabrat","Baku","Azerbaijan","","ZABR",40.483,49.967,0,4,"U","Asia/Baku" +9424,"Chirag","Caspian Sea","Azerbaijan","","CHIR",40.283,51.283,0,4,"U",\N +9425,"Kendal Glider Port","Kendall","United States","",\N,25.603889,-80.585556,10,-5,"U","America/New_York" +9426,"Lipa Noi Pier","Lipa Noi","Thailand","",\N,9.481772,99.926558,10,7,"N","Asia/Bangkok" +9427,"Don Sak Pier","Don Sak","Thailand","",\N,9.321146,99.735693,10,7,"N","Asia/Bangkok" +9428,"Bessemer","Bessemer","United States","EKY","KEKY",33.1876,-86.5558,700,-6,"A","America/Chicago" +9429,"Colorado Springs East","Ellicott","United States","A50","KA50",38.87,-104.41,6145,-7,"A","America/Denver" +9430,"Olds Didsbury Airport","Didsbury","Canada","",\N,51.710833,-114.106111,3360,-7,"A","America/Edmonton" +9431,"Sundre Airport","Sundre","Canada","",\N,51.774722,-114.680833,3663,-7,"A","America/Edmonton" +9432,"Buffalo-Depew Station","Depew","United States","",\N,42.9074,-78.7266,676,-5,"A","America/New_York" +9433,"South Bend Station","South Bend","United States","",\N,41.678,-86.2876,722,-5,"A","America/New_York" +9434,"Carroll Avenue NICTD Station","Michigan City","United States","",\N,41.7133,-86.8677,630,-6,"A","America/Chicago" +9435,"Chicago Millennium Station","Chicago","United States","",\N,41.8837,-87.623,620,-6,"A","America/Chicago" +9436,"St. Louis Gateway Transportation Center","St. Louis","United States","",\N,38.6239,-90.2039,476,-6,"A","America/Chicago" +9437,"Kansas City Union Station","Kansas City","United States","",\N,39.0865,-94.586,791,-6,"A","America/Chicago" +9438,"Alvarado Transportation Center","Albuquerque","United States","",\N,35.0826,-106.6474,4970,-7,"A","America/Denver" +9439,"San Francisco 4th and King St. Station","San Francisco","United States","",\N,37.7763884,-122.3944444,15,-8,"A","America/Los_Angeles" +9440,"Oakland Jack London Square Station","Oakland","United States","",\N,37.7935,-122.2719,13,-8,"A","America/Los_Angeles" +9441,"Downtown Mountain View Station","Mountain View","United States","",\N,37.3943934,-122.075872,15,-8,"A","America/Los_Angeles" +9442,"San Mateo Station","San Mateo","United States","",\N,37.5683328,-122.3241667,15,-8,"A","America/Los_Angeles" +9443,"Sunnyvale Station","Sunnyvale","United States","",\N,37.3786106,-122.0308333,15,-8,"A","America/Los_Angeles" +9444,"Millbrae Intermodal Terminal","San Mateo","United States","",\N,37.6002772,-122.3866667,15,-8,"A","America/Los_Angeles" +9445,"Cleveland Greyhound Station","Cleveland","United States","",\N,41.5034,-81.6822,679,-5,"A","America/New_York" +9446,"Issyk-Kul International Airport","Tamchy","Kyrgyzstan","ИКУ","UCFL",42.3527,76.4278,5426,6,"N","Asia/Bishkek" +9447,"Crystal Airport","Crystal","United States","MIC","KMIC",45.0343,-93.2114,869,-6,"A","America/Chicago" +9448,"Clarke CO","Quitman","United States","23M","K23M",32.0517,-88.4434,320,-6,"A","America/Chicago" +9449,"Ellaidhoo","Ellaidhoo","Maldives","",\N,4.005694444444444,72.9486111111111,0,5,"N","Indian/Maldives" +9450,"W H Barron Field","Dublin","United States","DBN","KDBN",32.3388,-82.591,311,-5,"A","America/New_York" +9451,"Port Authority","New York","United States","",\N,40.756667,-73.991111,33,-5,"A","America/New_York" +9452,"Bus Terminal","Allentown","United States","","ATWN",40.605604,-75.462384,338,-5,"A","America/New_York" +9453,"Binghamton Bus Terminal","Binghamton","United States","","BING",42.101438,-75.910431,850,-5,"A","America/New_York" +9454,"William F. Walsh Regional Transportation Center","Syracuse","United States","","SYTC",43.0767,-76.1691,380,-5,"A","America/New_York" +9455,"Union Station","Utica","United States","UCA",\N,43.104167,-75.223333,456,-5,"A","America/New_York" +9456,"Clinton Bus Stop","Clinton","United States","","CLTN",43.048889,-75.380278,604,-5,"A","America/New_York" +9457,"Heuston Station","Dublin","Ireland","",\N,53.3463,-6.2927,19,0,"E","Europe/Dublin" +9458,"Killarney Station","Killarney","Ireland","",\N,52.5089,-9.5015,144,0,"U","Europe/Dublin" +9459,"Susquehanna Trailways Terminal","Williamsport","United States","","WSPT",41.239395,-77.000245,518,-5,"A","America/New_York" +9460,"Martz Trailways Bus Terminal","Wilkes-Barre","United States","","WKBR",41.243958,-75.882365,525,-5,"A","America/New_York" +9461,"Hazelton Bus Station","Hazelton","United States","","HZLT",40.954055,-75.976102,1689,-5,"A","America/New_York" +9462,"Lewisburg Bus Stop","Lewisburg","United States","","LWSB",40.963889,-76.888056,456,-5,"A","America/New_York" +9463,"Madison NJT Station","Madison","United States","","MDSN",40.757028,-74.415194,266,-5,"A","America/New_York" +9464,"Maplewood NJT Station","Maplewood","United States","","MPLD",40.731111,-74.275556,115,-5,"A","America/New_York" +9465,"Harrisburg Transportation Center","Harrisburg","United States","","HBRG",40.26223,-76.878709,320,-5,"A","America/New_York" +9466,"Metro-North Station","Poughkeepsie","United States","","PKPS",41.706516,-73.937774,180,-5,"A","America/New_York" +9467,"Port Everglades","Fort Lauderdale","United States","","FTLD",26.087679,-80.115942,0,-5,"A","America/New_York" +9468,"Crown Bay","Charlotte Amalie","Virgin Islands","","STCB",18.33482,-64.952187,0,-4,"N","America/St_Thomas" +9469,"Cruise Ship Dock","Roseau","Dominica","","RSAU",15.296416,-61.38781,0,-4,"N","America/Dominica" +9470,"Grenada Port Authority Cruise Ship Terminal","St. George's","Grenada","","GREN",12.050773,-61.754982,0,-4,"N","America/Grenada" +9471,"Martinique Cruise Terminal","Fort de France","Martinique","","MTQE",14.601432,-61.073111,0,-4,"N","America/Martinique" +9472,"Dr AC Wathey Cruise Pier","Philipsburg","Netherlands Antilles","","PHBG",18.011475,-63.046401,0,-4,"N","America/Curacao" +9473,"Half Moon Cay","Little San Salvador Island","Bahamas","","HMCY",24.574135,-75.955868,0,-5,"U","America/Nassau" +9474,"Pukarua Airport","Pukarua","French Polynesia","PUK","NTGQ",-18.3166666,-137.016666,6,-10,"N",\N +9475,"Kabale","Kabale","Uganda","","HUKB",-1.223333,29.96,5850,3,"N","Africa/Kampala" +9476,"Cruz Bay Ferry Dock","Cruz Bay","Virgin Islands","","CBFD",18.331263,-64.795408,0,-4,"A","America/St_Thomas" +9477,"Red Hook Bay Ferry Dock","Red Hook","Virgin Islands","","RHVI",18.326479,-64.849361,0,-4,"A","America/St_Thomas" +9478,"Gare Routiere de Fort-de-France","Fort-de-France","Martinique","","FDFM",14.602932,-61.070873,0,-4,"U","America/Martinique" +9479,"Saint Pierre","Saint Pierre","Martinique","","SPMQ",14.746061,-61.176809,0,-4,"U","America/Martinique" +9480,"Philipsburg Bus Stop","Philipsburg","Netherlands Antilles","","PHSM",18.0263,-63.049759,0,-4,"N","America/Curacao" +9481,"Marigot Bus Stop","Marigot","France","","MRGT",18.066039,-63.084385,0,-4,"N",\N +9482,"Summit NJT Station","Summit","United States","","SMMT",40.716556,-74.35775,374,-5,"A","America/New_York" +9483,"Batoka Airfield","Dambwa - Livingstone","Zambia","",\N,-17.88464,25.84697,2695,2,"N","Africa/Lusaka" +9484,"Santa Justa","Sevilla","Spain","","SVSJ",37.392051,-5.975135,23,1,"E","Europe/Madrid" +9485,"Cordoba Station","Cordoba","Spain","","CRDB",37.888573,-4.789177,390,1,"E","Europe/Madrid" +9486,"Granada Station","Granada","Spain","","GRND",37.184055,-3.60916,2421,1,"E","Europe/Madrid" +9487,"Atocha","Madrid","Spain","","MDAT",40.4075,-3.691667,2188,1,"E","Europe/Madrid" +9488,"Corvallis Muni","Corvallis","United States","CVO","KCVO",44.5067,-123.2915,250,-8,"A","America/Los_Angeles" +9489,"Helipad of Viraj Group","Boisar","India","",\N,19.779,72.805,50,5.5,"U","Asia/Calcutta" +9490,"Heydar Aliyev","Caspian Sea","Azerbaijan","","HEYD",39.86218,50.3959,0,4,"E",\N +9491,"Phantom Lake","Phantom Lake","Canada","",\N,49.859473,-123.494509,3386,-8,"A","America/Vancouver" +9492,"Tuzla","Tuzla","Romania","","LRTZ",43.9841995,28.6096992,78,2,"U","Europe/Bucharest" +9493,"Toledo Railway Station","Toledo","Spain","","TLDO",39.862363,-4.011083,1736,1,"E","Europe/Madrid" +9494,"Chamartin Station","Madrid","Spain","","MADC",40.472272,-3.68215,2188,1,"E","Europe/Madrid" +9495,"Abando","Bilbao","Spain","","BLBO",43.25947,-2.929017,62,1,"E","Europe/Madrid" +9496,"Aeroport","Barcelona","Spain","","ARPT",41.288436,2.072409,39,1,"E","Europe/Madrid" +9497,"Passeig de Gracia","Barcelona","Spain","","PGRC",41.392186,2.16482,39,1,"U","Europe/Madrid" +9498,"Sants","Barcelona","Spain","","BSNT",41.379359,2.140474,39,1,"E","Europe/Madrid" +9499,"Railway Station","Figueres","Spain","","FGRS",42.265065,2.968822,128,1,"E","Europe/Madrid" +9500,"Martz Trailways","Scranton","United States","","SCRT",41.410253,-75.670297,745,-5,"A","America/New_York" +9501,"New Brunswick Station","New Brunswick","United States","","NBWK",40.496432,-74.446447,62,-5,"A","America/New_York" +9502,"Trenton Transit Center","Trenton","United States","","TRTC",40.218839,-74.754279,49,-5,"A","America/New_York" +9503,"Holmesburg Jct Station","Philadelphia","United States","","HOLM",40.032679,-75.023718,39,-5,"U","America/New_York" +9504,"White Plains","White Plains","United States","","WPLN",41.032549,-73.775069,213,-5,"A","America/New_York" +9505,"Southeast","Southeast","United States","","STHT",41.413179,-73.623551,338,-5,"A","America/New_York" +9506,"B Street Cruise Terminal","San Diego","United States","","SANB",32.716861,-117.174296,0,-8,"A","America/Los_Angeles" +9507,"Terminal Maritima","Puerto Vallarta","Mexico","","PRTV",20.657616,-105.241082,0,-6,"A","America/Mexico_City" +9508,"Bahia San Lucas","Cabo San Lucas","Mexico","","CABO",22.880854,-109.902117,0,-7,"A","America/Mazatlan" +9509,"Ferry Terminal","Anacortes","United States","","ACRT",48.50728,-122.677596,0,-8,"A","America/Los_Angeles" +9510,"Ferry Dock","Friday Harbor","United States","","FRID",48.535673,-123.014044,0,-8,"A","America/Los_Angeles" +9511,"Morristown Station","Morristown","United States","","MRST",40.796957,-74.473834,315,-5,"A","America/New_York" +9512,"Port of Seattle","Seattle","United States","","PSEA",47.609178,-122.350605,0,-8,"A","America/Los_Angeles" +9513,"Ferry Terminal","Whittier","United States","","WHIT",60.776566,-148.683367,0,-9,"A","America/Anchorage" +9514,"Ferry Terminal","Valdez","United States","","VLDZ",61.123976,-146.365309,0,-9,"A","America/Anchorage" +9515,"Gare Routiere","Saint-Louis","Reunion","","STLS",-21.289604,55.407269,103,4,"E","Indian/Reunion" +9516,"Bus Stop","La Riviere","Reunion","","LRIV",-21.272574,55.437706,190,4,"E","Indian/Reunion" +9517,"Bus Stop","Cilaos","Reunion","","CILS",-21.135518,55.472087,4000,4,"E","Indian/Reunion" +9518,"Bus Stop","Hell-Bourg","Reunion","","HLBG",-21.06402,55.518453,3000,4,"E","Indian/Reunion" +9519,"Bus Stop","Salazie","Reunion","","SLZI",-21.027485,55.538955,3000,4,"E","Indian/Reunion" +9520,"Gare","St Andre","Reunion","","ANDR",-20.963272,55.652508,100,4,"E","Indian/Reunion" +9521,"L'Ocean Bus Terminal","Saint Denis","Reunion","","SDNS",-20.877683,55.457393,0,4,"E","Indian/Reunion" +9522,"Gare Routiere","Saint Pierre","Reunion","","STPR",-21.33424,55.471331,0,4,"E","Indian/Reunion" +9523,"Baie Ste Anne","Praslin","Seychelles","","PLIN",-4.347119,55.765688,0,4,"N","Indian/Mahe" +9524,"La Passe","La Digue","Seychelles","","LADG",-4.347969,55.829069,0,4,"N","Indian/Mahe" +9525,"Ferry Dock","Bainbridge Island","United States","","BAIN",47.622237,-122.509362,0,-8,"A","America/Los_Angeles" +9526,"Bus","Phnom Penh","Cambodia","","PNMP",11.561716,104.914276,0,7,"N","Asia/Phnom_Penh" +9527,"Bus","Siem Reap","Cambodia","","SMRP",13.361002,103.859543,0,7,"N","Asia/Phnom_Penh" +9528,"Bus","Sihanoukville","Cambodia","","SNKV",10.60722,103.524886,0,7,"N","Asia/Phnom_Penh" +9529,"Bus","Kampot","Cambodia","","KMPT",10.614922,104.177724,0,7,"N","Asia/Phnom_Penh" +9530,"Bus","Kep","Cambodia","","KEPC",10.480174,104.294228,0,7,"N","Asia/Phnom_Penh" +9531,"Main Station","Taipei","Taiwan","","TPEI",25.046176,121.517532,0,8,"N","Asia/Taipei" +9532,"Prominent Hill","Prominent Hill","Australia","PXH","YPMH",-29.716667,135.521667,734,9.5,"O","Australia/Adelaide" +9533,"Chatsworth Station","Chatsworth","United States","CWT",\N,34.256944,-118.598889,978,-8,"A","America/Los_Angeles" +9534,"Algerciras Port","Algerciras","Spain","",\N,36.136,-5.435,0,1,"E","Europe/Madrid" +9535,"Ganges Water Aerodrome","Ganges","Canada","YGG",\N,48.85,-123.5,0,-8,"A","America/Vancouver" +9536,"Pender Harbour Water Aerodrome","Pender Harbour","Canada","YPT",\N,49.616667,-124.016667,0,-8,"A","America/Vancouver" +9537,"Mansons Landing Water Aerodrome","Mansons Landing","Canada","YMU",\N,50.066667,-124.983333,0,-8,"A","America/Vancouver" +9538,"Port McNeill Airport","Port McNeill","Canada","YMP",\N,50.575556,-127.028611,225,-8,"A","America/Vancouver" +9539,"Sullivan Bay Water Aerodrome","Sullivan Bay","Canada","YTG",\N,50.883333,-126.833333,0,-8,"A","America/Vancouver" +9540,"Deer Harbor Seaplane","Deer Harbor","United States","DHB",\N,48.618397,-123.00596,0,-8,"A","America/Los_Angeles" +9541,"San Diego Old Town Transit Center","San Diego","United States","OLT",\N,32.7552,-117.1995,0,-8,"A","America/Los_Angeles" diff --git a/Dia2/files/archivonuevogenial.txt b/Dia2/files/archivonuevogenial.txt new file mode 100644 index 0000000..def6a06 --- /dev/null +++ b/Dia2/files/archivonuevogenial.txt @@ -0,0 +1 @@ +Mensaje Genial! \ No newline at end of file diff --git a/Dia2/files/encuestarabanos.txt b/Dia2/files/encuestarabanos.txt new file mode 100644 index 0000000..4e8cc77 --- /dev/null +++ b/Dia2/files/encuestarabanos.txt @@ -0,0 +1,711 @@ +Evie Pulsford - April Cross +Matilda Condon - April Cross +Samantha Mansell - Champion +geronima trevisani - cherry belle +Alexandra Shoebridge - Snow Belle +Sarah Ahuia Ova - Snow Belle +Emma Slattery - Bunny Tail +Fabiana Milanesi - Champion +Makayla McMinn - Snow Belle +Julian O'Leary - Sicily Giant +Hannah Collie - Bunny Tail +Toby Lundie - Plum Purple +Baldo Palerma - Champion +Phoebe Barwell - Plum Purple +Sheng Shen - Champion +Jonathan Rolph - Snow Belle +Aaron Yarnold - Red King +Indiana angwin - Daikon +Luke Komine - White Icicle +Blake Ricardo - Daikon +Mikayla Biddell - Daikon +Piper Wheelwright - Bunny Tail +Bailey Derrington - White Icicle +Eufrosina Ferri - Daikon +Madeleine Abrahams - Daikon +Indiana Cowper - Sicily Giant +Procopio Zito - Red King +Ryan Langley - French Breakfast +anthony Gairdner - French Breakfast +Darcy Kayser - Champion +Adelmo De Luca - Plum Purple +Sienna Hovell - Champion +Mary Cardell - April Cross +Ebony Agnes - Daikon +Lola Atkinson - Plum Purple +Jonathan Walton - Champion +Tristan Gwynn - Red King +Jackson Longman - Red King +Archer Dodds - April Cross +Lilian Burne - French Breakfast +Ava McNaughtan - April Cross +Nate Shelley - Daikon +Antonia Buccho - Champion +Kaitlyn Rudduck - Cherry Belle +Skye Thynne - Champion +Ethan Collings - Plum Purple +Finn Leverrier - Plum Purple +Lee T'an - Plum Purple +Tyler Forbes - White Icicle +abbey dunkley - plum purple +rose stacy - french breakfast +Gianfranco Cremonesi - White Icicle +Grace Wentworth - French Breakfast +Cooper Menkens - Snow Belle +Scarlett Macdougall - French Breakfast +Fabio Pugliesi - Bunny Tail +Keira Wrenfordsley - Red King +Daniel Krimper - Plum Purple +Anna Deniehy - April Cross +Sabrina Beneventi - Cherry Belle +Oliver Potts - Snow Belle +Milla Winn - Plum Purple +Finn Whitworth - Sicily Giant +Sophie Keynes - Plum Purple +Joel Brownell - Plum Purple +Jonathan Parsons - French Breakfast +Amelia Ellwood - Snow Belle +Lincoln Gatehouse - Bunny Tail +Jin Huang - Daikon +Kuan-Yin Sun - Champion +Tao Hsiao - White Icicle +Emily Walters - White Icicle +nicholas kirby - french breakfast +Hong Tsui - April Cross +Mikayla Fullagar - Cherry Belle +Lola Catchpole - April Cross +Lelia Toscani - Bunny Tail +Natasha Prout - Cherry Belle +Raffaello Schiavone - Red King +Erin Stephen - Plum Purple +Eve Peacock - Daikon +Jordan Manning - Sicily Giant +Tyler Lister - April Cross +brodie agnew - daikon +Lincoln Hirschfeld - Champion +Ciriaca Genovesi - Bunny Tail +Dewei Niu - Snow Belle +Fai Teng - Bunny Tail +Rossana Cattaneo - Snow Belle +Isabelle Coombes - Daikon +Layla Hitchcock - Red King +Ashley Brigstocke - Red King +Lei Tai - Daikon +Victoria Humffray - Sicily Giant +Jake Champ - Daikon +Ben Vosper - Cherry Belle +Harrison Rose - Red King +Thomas Oom - White Icicle +Sophie Browning - Red King +Scarlett Hughes - Bunny Tail +Anthony Collits - Champion +Alicia Forrest - Sicily Giant +Riley Leakey - April Cross +Bethany Calwell - French Breakfast +Leo Sheil - April Cross +Kai MacMahon - April Cross +Rong Kuo - Champion +Stephanie Schnaars - White Icicle +Bethany Bardolph - French Breakfast +Guido Beneventi - French Breakfast +Victoria Witt - Daikon +Jun Hsiung - Bunny Tail +Noah Berrick - Daikon +Beato Mazzanti - Sicily Giant +Anna Denning - White Icicle +Sebastian George - Cherry Belle +Mackenzie Andrade - Champion +Sarah Joris - Champion +Joel Cassell - Plum Purple +Harrison Moowattin - Champion +william fenner - plum purple +Madeline Corbin - Bunny Tail +Sebastian Davitt - Champion +Li Qin Ch'ien - Sicily Giant +Owen Lea - Champion +Liam Copeland - Champion +Brianna Eltham - Sicily Giant +Joseph Gresswell - Sicily Giant +Alfonsina Marchesi - April Cross +Caitlin Houlding - Snow Belle +Natalie Schlapp - April Cross +Shaiming Fu - Champion +Lisandro Monaldo - Champion +Ruby Fox - White Icicle +Benjamin Rankin - Snow Belle +Connor Letters - April Cross +Laura Macdowell - Daikon +Jake Hervey - April Cross +Alyssa Batman - Snow Belle +Archer Larra - French Breakfast +Brayden Dixon - Bunny Tail +Kuan-Yin Kuo - Cherry Belle +Lucy Ley - Red King +Rachele Russo - Cherry Belle +Lucy Somers - Daikon +Ella Boucaut - Champion +Iacopo Baresi - Bunny Tail +Ali Dedman - White Icicle +Victoria Edinburgh - French Breakfast +Brianna Pye - Red King +Joel Bruce - Snow Belle +Lola Lea - Bunny Tail +Zachary Burford - Champion +Gabriella Bruton - April Cross +Finn Dunstan - Cherry Belle +Logan Truchanas - Red King +beau mclarty - white icicle +Carla De Luca - Daikon +Taylah Reynolds - Champion +Ava Musgrave - Bunny Tail +Jade Grimmett - Bunny Tail +Eliza Fink - April Cross +Charles Tearle - April Cross +Victoria Birch - Snow Belle +Mackenzie Geach - Plum Purple +Charles Card - Cherry Belle +Olivia Warnes - Sicily Giant +Jake Murdoch - Cherry Belle +Brayden Massina - April Cross +Sarah Milford - White Icicle +Lilian Pike - French Breakfast +Blake Dakin - Champion +Chi Hsiung - April Cross +Ludovica Siciliano - Sicily Giant +Rose Leahy - French Breakfast +Nicodemo Udinese - Bunny Tail +Amy Harriman - Sicily Giant +Harrison Macgeorge - Red King +Charles Mockridge - Cherry Belle +Victoria Hardie - Sicily Giant +Jake Hambly - Sicily Giant +Bartolomeo Mancini - French Breakfast +Maya Shackleton - Snow Belle +Hudson Dodgshun - White Icicle +Scarlett Sullivan - Snow Belle +Noah Doyne - April cross +Aidan Santo - Bunny Tail +kai emmett - bunny tail +Christopher Gillan - Daikon +Lara Salting - White Icicle +Alfonso Costa - Daikon +Mackenzie Knatchbull - Red King +Oliver Beit - Plum Purple +Thomas Muecke - French Breakfast +Sabrina Li Fonti - Bunny Tail +Jasmine Brake - Snow Belle +Sienna Bonnor - Daikon +Isabelle Llewelyn - Daikon +Amelie Farber - White Icicle +Keira Horner - Red King +Annabelle Colechin - French Breakfast +George Schlunke - Daikon +Hugo Stretch - French Breakfast +Isabella Pardey - White Icicle +Toby Docker - Red King +Caitlyn Hotchin - French Breakfast +Samuel Ansell - Sicily Giant +Prospero Milano - Champion +Zhi Chin - White Icicle +nate brooker - daikon +Elizabeth McNab - April Cross +Amelie Torpy - Champion +Audrey Bock - Bunny Tail +Abbey Dawson - Plum Purple +Hugo Coppleson - Daikon +Lilly Tait - Red King +Archer Frederick - April Cross +Alvisio Mazzi - April Cross +Chloe MacLaurin - Champion +Georgia Bruny - April Cross +Caitlyn Mullah - White Icicle +Gang Chia - Red King +Lauren Pennefather - French Breakfast +Fang Ch'eng - Cherry Belle +Summer Withers - Snow Belle +Kayla Sievier - Snow Belle +Edoardo Sal - Champion +Layla Fossey - April Cross +Ella Weston - Champion +Patrick Camidge - French Breakfast +Erin Stretton - French Breakfast +Poppy Duggan - Champion +Daniel Hogben - Daikon +Wan Tsai - Snow Belle +Olimpia Udinesi - April Cross +Xue Fang Fu - Daikon +Alyssa McInnes - Daikon +Connor Morphett - Plum Purple +Nathan Trott - French Breakfast +Brock Brunker - Bunny Tail +Hayden O'Connell - French Breakfast +James Larra - April Cross +Eva Geiger - Plum Purple +Taj Shackell - White Icicle +Eliza O'Haran - Champion +Aidan Dore - April Cross +Aiden Reginald - Plum Purple +Bruna Rizzo - Snow Belle +Alex Wemyss - April Cross +claudia westgarth - daikon +Jett Glynde - Plum Purple +Brooke Huffer - Daikon +Stephanie Synan - Sicily Giant +Salvatore Sagese - French Breakfast +Edgardo Mazzanti - Daikon +Brodie De Lissa - Cherry Belle +Cai Pan - Sicily Giant +Caitlyn Ridgeway - Sicily Giant +Mason Dymock - Plum Purple +Oliviero Lucchesi - Bunny Tail +Antonietta Baresi - Cherry Belle +Abbey Cousens - Daikon +Hui Hsiung - Cherry Belle +Marcus Brown - Sicily Giant +James Poupinel - Daikon +Lucas Tomkinson - Champion +Xin Qian Shih - White Icicle +Abigail Clark - White Icicle +Archie Gilfillan - French Breakfast +maya woolcock - april cross +Wei Hsiao - Daikon +Lauren Rosevear - Red King +Eve Gargett - Snow Belle +Cristian Pisano - Champion +Bianca Knopwood - White Icicle +Alyssa Loewe - Daikon +Feng Li - French Breakfast +Yi Min Chu - Plum Purple +Aiden Tasman - Red King +corinna lucchese - champion +Taylah Shore - Cherry Belle +nilde beneventi - french breakfast +edward greener - bunny tail +Nate Lodewyckx - Sicily Giant +Mariam Langridge - Red King +Indiana Cory - Champion +David Rees - April Cross +Daniel Appleton - Red King +Luke Leeper - Red King +Toby Spring - French Breakfast +Cody Laffer - Red King +Lilian Woodriff - Plum Purple +hudson crane - sicily giant +Anthony Wand - Bunny Tail +Dean Mattner - Red King +Lucinda Howarde - Sicily Giant +Caleb Clancy - Red King +Mia Legg - White Icicle +Isla Mehaffey - Sicily Giant +Cooper Lasseter - April Cross +Indiana Scott - Cherry Belle +Kaitlyn Kay - French Breakfast +Abbey Aronson - April Cross +Madeleine Hartung - Snow Belle +Abbey Tyas - Red King +Jacob Spowers - Snow Belle +Brodie Fraser - French Breakfast +Ivo Lucchesi - Champion +Harry Wormald - French Breakfast +Lilian Macquarie - White Icicle +Chelsea Warby - Bunny Tail +Eugenio Pagnotto - Sicily Giant +Michael Hargrave - Cherry Belle +Leda Romani - April Cross +Christopher Walton - Champion +Zachary Bass - White Icicle +jorja franklyn - white icicle +Makayla Sutton - Plum Purple +Shu Fang Tsou - French Breakfast +Evie Carey - Bunny Tail +Alannah Bleakley - Bunny Tail +Alma Longo - Cherry Belle +Abbey Garvin - Snow Belle +Isabella Van De Velde - Plum Purple +scarlett price - april cross +Beau Hauslaib - Champion +Isabelle Mathew - Sicily Giant +Laura Callinan - Cherry Belle +Cody Le Rennetel - French Breakfast +Rachel Luke - Snow Belle +Tristan Glynde - Snow Belle +Qiao Tien - Bunny Tail +Alana Meares - Red King +Xiao Chen Chiang - Sicily Giant +Jack Finlay - Cherry Belle +Jaxon Keen - Plum Purple +Jordan Catani - Plum Purple +Piera Trevisan - Red King +Bailey Mussen - Bunny Tail +Hayley Coverdale - White Icicle +Sophie Eipper - Snow Belle +Beata Endrizzi - Daikon +David Moynihan - White Icicle +Andrew Martens - French Breakfast +Nate Higgs - Red King +Isaac Banks - Snow Belle +Xavier Sligo - Champion +Nathan Aird - Plum Purple +Cooper Monk - Bunny Tail +Kayla Kinsella - Champion +Sean Maclurcan - Sicily Giant +Jett Faucett - April Cross +Koby Mary - Red King +Lok Fan - Champion +Liam Burn - French Breakfast +Ryan Skeats - Snow Belle +Harrison Barlee - Cherry Belle +Marcus South - Champion +Emily Kumm - White Icicle +Tristan Lack - Cherry Belle +Rebecca Godfrey - Red King +Bailey Randell - Red King +Emma Slater - Bunny Tail +Ellie Eaton - Sicily Giant +Hamish Kevin - Sicily Giant +Bella Lyttle - Bunny Tail +Guang Lo - April Cross +Jai Keith - Daikon +Lucinda Emanuel - Plum Purple +Tayla English - Plum Purple +Eden Petchy - Daikon +Lee Chen - April Cross +Angus De Mestre - White Icicle +Maya Huish - Snow Belle +Emily Plante - White Icicle +Connor Fairbridge - Bunny Tail +Lara Cawker - Champion +Blanda Panicucci - Bunny Tail +Napoleone Marcelo - Champion +Georgia Gillen - Snow Belle +Giselda Napolitano - French Breakfast +Anthony Hugo - Red King +Oscar Saltau - April Cross +Ashton Pearce - Daikon +Kiara Maxwell-Mahon - White Icicle +Sebastian Ball - French Breakfast +Anna Howarde - Bunny Tail +Lauren Nisbet - Plum Purple +Patrick Porteus - Bunny Tail +ling tuan - Red King +Park Ch'en - Sicily Giant +Yi Tseng - French Breakfast +Angelina Dangar - Snow Belle +Carolina Cattaneo - Snow Belle +Sean Tait - Snow Belle +Alex Falk - White Icicle +oliver thirkell - french breakfast +Jesse Fairley - Champion +Benito Cocci - Snow Belle +Laura Samuels - Champion +Kuan-Yin Tao - Cherry Belle +Shi She - Champion +Isabella Hoffnung - April Cross +George Carandini - White Icicle +Sarah Bindi - French Breakfast +Andrew Quick - April Cross +Giosuè Romano - Champion +Eva Ruth - Plum Purple +Koby Gabriel - Champion +Jayden Josephson - April Cross +Mafalda Marchesi - Snow Belle +Gabrielle Porteus - Daikon +Dylan Synnot - Red King +Brooke Kisch - Bunny Tail +Quintilia Trentini - Bunny Tail +Taj Moonlight - Plum Purple +Ava Sorell - Bunny Tail +Kate Buchanan - Sicily Giant +Stella Inwood - Cherry Belle +Cody Glauert - Snow Belle +Callimaco Lombardi - Champion +ella irving - cherry belle +Guan-yin Hsiao - Red King +alicia muscio - april cross +Alana Sturdee - Champion +Makayla Fairbairn - White Icicle +Kaitlyn Collings - Bunny Tail +Alexis Le Hunte - Champion +lilian andrade - bunny tail +Alannah Housley - Bunny Tail +Rose Peeler - Champion +Yue Wan Yeh - White Icicle +Evie Langwell - Snow Belle +Zoe Jasprizza - Red King +Ivo Sagese - April Cross +Rory Springthorpe - Snow Belle +hannah gabriel - red king +Jonathan Paten - Bunny Tail +Jessica Rapke - Sicily Giant +Jake Sterne - Daikon +Lola Mashman - Bunny Tail +Chan Yen - Cherry Belle +Timothy Beeton - White Icicle +Joseph Hill - Daikon +Luke Gye - Plum Purple +Giuseppe Manna - Sicily Giant +Matilda Wardlaw - Red King +Hannah Dibbs - Plum Purple +Xavier Truman - French Breakfast +Emma Sodersten - April Cross +Blake Sodersten - French Breakfast +Andrew Schwarz - Cherry Belle +Owen Montgomery - Snow Belle +Blake Hurst - White Icicle +Brayden Brill - Cherry Belle +Keira Strzelecki - Champion +Zhen Juan Tsai - White Icicle +Mulan Kung - Red King +Clorinda Pugliesi - Champion +Abbey Strzelecki - French Breakfast +Andrew Howitt - April Cross +Sebastian Langford - Cherry Belle +hayley Hinchcliffe - Cherry Belle +Ebony Anton - Sicily Giant +Seth Reginald - April Cross +Beau Gosling - Plum Purple +Christopher Moss - White Icicle +laura uhr - red king +Jamie Faithful - Red King +Isaac Tennyson - Daikon +Gemma Norton - Sicily Giant +Matilda Madden - Red King +Azeglio Napolitano - Red King +David Tomlinson - Bunny Tail +Christian Morris - Champion +Amy Goulburn - April Cross +Christopher Clunies - April Cross +annabelle armytage - daikon +Hunter Connely - Snow Belle +Summer Stenhouse - April Cross +Alicia Farmer - White Icicle +Charlotte Slattery - Red King +Georgia Jessop - Cherry Belle +Abby Metters - Champion +Madeleine Behan - Snow Belle +Hayley Kernot - Plum Purple +Ubaldo Trevisani - Champion +Annabelle Scarfe - Cherry Belle +Flynn Weingarth - Sicily Giant +Indiana Keast - April Cross +Wang Tien - French Breakfast +Elijah Kingsbury - Plum Purple +henry wright - sicily giant +Meng Ni - Snow Belle +Sara Coffill - Sicily Giant +Giusy Lombardi - Plum Purple +Egidio Mancini - Sicily Giant +Bethany Macfarlan - Bunny Tail +Alexis Cowlishaw - Bunny Tail +Skye Garvin - April Cross +Abbey Rivett - Snow Belle +Mikayla Woollacott - Sicily Giant +Abbey Cochran - Daikon +Jasmine Baughan - White Icicle +Da-Xia Liang - April Cross +Dominic Nangle - White Icicle +Jesse Jury - Sicily Giant +Ruby Elias - Daikon +David Read - Bunny Tail +Yue Yan T'ang - April Cross +Qiang Tsui - Cherry Belle +Grace Parkinson - Snow Belle +Yue Yan Hu - White Icicle +Adele Buccho - White Icicle +Imogen Gertrude - Bunny Tail +Kate Cyril - April Cross +Zoe Canning - Plum Purple +Imogen Gaunson - Bunny Tail +Brayden Stretch - April Cross +Jian Ts'ao - Plum Purple +Gabriella Titheradge - Red King +Alexis Nesbitt - Daikon +Galeazzo Milanesi - Champion +Eve Everingham - Daikon +on hê - snow belle +Archie Mathy - White Icicle +Skye Reynolds - French Breakfast +Ben Denovan - April Cross +Pia Folliero - White Icicle +Archie Michelides - Cherry Belle +zane pavy - bunny tail +Ramiro Esposito - Daikon +Brock Eames - Daikon +Savannah Sheehan - French Breakfast +angus christie - french breakfast +Dominic Tregurtha - Cherry Belle +Molly Piguenit - Plum Purple +matthew john - snow belle +Koby Ledger - White Icicle +Jasper Harper - White Icicle +William Doyle - French Breakfast +Taj Maria - Sicily Giant +Michael Elliot - April Cross +Matthew Knibbs - Sicily Giant +Patrick Tilly - White Icicle +Sarah Kashiwagi - Bunny Tail +Abbey Bouton - Champion +Kayla Sandover - Bunny Tail +Anna Septimus - French Breakfast +Matthew Birch - Champion +Mikayla Kennerley - French Breakfast +Charli Birkbeck - Daikon +Matilda Gullett - Champion +Ella McLellan - April Cross +Silvia Rossi - Plum Purple +Chan Juan Hsü - French Breakfast +Oliver Aspinall - Cherry Belle +Timothy Baldwinson - Bunny Tail +Li Wei Chien - Snow Belle +Bethany Layh - French Breakfast +Gang Hsu - April Cross +Mikayla Brodney - Champion +Kuan-Yin Mao - Daikon +Elizabeth Minifie - Champion +Sarah Band - Sicily Giant +Tyson Kaberry - French Breakfast +Victoria Shipp - Cherry Belle +Henry McCorkindale - French Breakfast +William De Satg - Snow Belle +Skye Atkins - Cherry Belle +Sean Hogben - Champion +Claire Boelke - Cherry Belle +Tristan Turley - Snow Belle +Tyler Hansen - Champion +Caleb Ride - Bunny Tail +Archer Cathcart - April Cross +Hamish Helena - French Breakfast +Agostino Milanesi - April Cross +lilly wunderlich - french breakfast +Brooke Mahomet - Sicily Giant +Seth Bramston - Daikon +Archer Kirwan - Cherry Belle +Ettore Marcelo - Champion +Blake D'Alton - Sicily Giant +Jai Burgoyne - Bunny Tail +Mikayla Minogue - April Cross +Thomas Catt - April Cross +Oscar Cocci - Daikon +Claudia Boxall - Plum Purple +Imogen Macaulay - Snow Belle +Tyson Platt - Bunny Tail +Isabelle Camden - White Icicle +Kiara Maxted - Daikon +Raffaella Trevisan - Daikon +Xiang Hsü - Plum Purple +Hudson Greene - Bunny Tail +Ruby Wakefield - Cherry Belle +Matilda Macarthur-Onslow - Plum Purple +Jasmine Fetherstonhaugh - Snow Belle +Andrew Bower - Bunny Tail +Olindo De Luca - Cherry Belle +Alexis Kelynack - French Breakfast +Amy Clunie - White Icicle +Kang Yu - Cherry Belle +Henry Birdseye - Snow Belle +dominic gale - april cross +Edward Edmond - Snow Belle +Raul Pinto - Cherry Belle +Laura Bath - Red King +John Bale - Cherry Belle +Margherita Milani - Red King +Hudson Devine - Champion +Jaxon Cowles - Sicily Giant +Cameron Embley - Sicily Giant +Laura Wawn - Cherry Belle +Li Ming Niu - Cherry Belle +Eden Sheehan - Cherry Belle +Taj Bjelke-Petersen - French Breakfast +Declan Winston - White Icicle +Chan Chao - Red King +mikayla hebblethwaite - sicily giant +Tristan Monson - Cherry Belle +Leah Ross-Watt - Plum Purple +Hu K'ung - Daikon +Kaitlyn Carnegie - Champion +Victoria Brereton - Plum Purple +Keira Toutcher - Cherry Belle +David Morgans - Daikon +Norma Fiorentino - Red King +Sarah Paten - Sicily Giant +Zac Cowles - Sicily Giant +Brock Fiaschi - French Breakfast +Eliza Naylor - French Breakfast +Imogen Raws - Red King +Jesse Abercrombie - Snow Belle +James Luke - White Icicle +Riley Stewart - White Icicle +amelia blue - white icicle +Cameron Pearce - Red King +Ennio DeRose - French Breakfast +Samuel Henschke - Sicily Giant +Blake MacFarland - Cherry Belle +Mary Randall - Cherry Belle +luce de luca - snow belle +Marcus Derbyshire - Bunny Tail +Hunter McEachern - Bunny Tail +Jasper Gibney - French Breakfast +Lincoln Hoare - French Breakfast +Sofia Donnithorne - Snow Belle +Anthony Stuart - Snow Belle +Hamish Yarnold - April Cross +Lucas Schuler - Plum Purple +Milla Garling - French Breakfast +Abigail Wiltshire - Bunny Tail +Zane Wreford - Snow Belle +Sean Glew - Daikon +Ryan Aird - Red King +Jasper Harford - Champion +Charlie McCabe - Bunny Tail +Rory Evenden - White Icicle +Ebony Florence - Snow Belle +Flynn Poninski - Daikon +Ebony Lawlor - Bunny Tail +Ethan Dickson - Bunny Tail +Xavier Howchin - Bunny Tail +Zane Weindorfer - Cherry Belle +Sienna Dann - Snow Belle +Eleuterio Lombardo - White Icicle +Tyler Makutz - Champion +Yong Hsiao - White Icicle +Erin Binnie - Bunny Tail +Phoebe Barwell - Plum Purple +Dylan Barney - French Breakfast +Tristan Charteris - April Cross +Sebastian Helmore - Bunny Tail +Thomas Darcy - Bunny Tail +Quinzia Costa - Daikon +Da-Xia Hsiao - French Breakfast +Grace Frayne - Sicily Giant +Toby Queale - White Icicle +Logan Lackey - Plum Purple +na t'ao - french breakfast +Callum Prentice - Plum Purple +Levi Ferry - Sicily Giant +Hsin Tan - April Cross +Lara Macarthur - French Breakfast +Scarlett Bruny - Champion +Procopio Zito - white icicle +Jamie Ham - Bunny Tail +Kaitlyn Mullen - Daikon +Cameron Landseer - April Cross +Jasper Alfred - White Icicle +Andrew Coventry - Cherry Belle +Scarlett Schonell - Plum Purple +Mia Alngindabu - Champion +Claire Bisdee - Daikon +Gabriella Beale - Cherry Belle +Rebecca Petrie - Snow Belle +Alexander McKean - Bunny Tail +Cody Leakey - Plum Purple +Sam Scarfe - Sicily Giant +Angus Langley - French Breakfast +Shi Shen - Sicily Giant +Park Wu - Champion +Isabelle Finney - April Cross +Aaron Addison - Plum Purple +Ethan Macdougall - Champion +cody vale - red king +Aidan Clutterbuck - French Breakfast +Durante Ferri - White Icicle +eliana baresi - white icicle \ No newline at end of file diff --git a/Dia2/files/meses.txt b/Dia2/files/meses.txt new file mode 100644 index 0000000..1371830 --- /dev/null +++ b/Dia2/files/meses.txt @@ -0,0 +1,12 @@ +Enero +Febrero +Marzo +Abril +Mayo +Junio +Julio +Agosto +Septiembre +Octubre +Noviembre +Diciembre \ No newline at end of file diff --git a/Dia2/files/miarchivodedoslineas.txt b/Dia2/files/miarchivodedoslineas.txt new file mode 100644 index 0000000..868f064 --- /dev/null +++ b/Dia2/files/miarchivodedoslineas.txt @@ -0,0 +1,2 @@ +Primera linea +Segunda linea \ No newline at end of file diff --git a/Dia2/files/routes.dat b/Dia2/files/routes.dat new file mode 100644 index 0000000..abe79d2 --- /dev/null +++ b/Dia2/files/routes.dat @@ -0,0 +1,67663 @@ +2B,410,AER,2965,KZN,2990,,0,CR2 +2B,410,ASF,2966,KZN,2990,,0,CR2 +2B,410,ASF,2966,MRV,2962,,0,CR2 +2B,410,CEK,2968,KZN,2990,,0,CR2 +2B,410,CEK,2968,OVB,4078,,0,CR2 +2B,410,DME,4029,KZN,2990,,0,CR2 +2B,410,DME,4029,NBC,6969,,0,CR2 +2B,410,DME,4029,TGK,\N,,0,CR2 +2B,410,DME,4029,UUA,6160,,0,CR2 +2B,410,EGO,6156,KGD,2952,,0,CR2 +2B,410,EGO,6156,KZN,2990,,0,CR2 +2B,410,GYD,2922,NBC,6969,,0,CR2 +2B,410,KGD,2952,EGO,6156,,0,CR2 +2B,410,KZN,2990,AER,2965,,0,CR2 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+2Z,1729,CGB,2548,OPS,7367,,0,AT7 +2Z,1729,CGR,2538,DOU,7380,,0,AT7 +2Z,1729,DOU,7380,CGR,2538,,0,AT7 +2Z,1729,DOU,7380,GRU,2564,,0,AT7 +2Z,1729,GIG,2560,RAO,2613,,0,AT7 +2Z,1729,GRU,2564,CAC,2535,,0,AT7 +2Z,1729,GRU,2564,DOU,7380,,0,AT7 +2Z,1729,GRU,2564,RAO,2613,,0,AT7 +2Z,1729,GRU,2564,UBA,2635,,0,AT7 +2Z,1729,GRU,2564,UDI,2633,,0,AT7 +2Z,1729,GRU,2564,VDC,6039,,0,AT7 +2Z,1729,GYN,2562,CGB,2548,,0,AT7 +2Z,1729,GYN,2562,PMW,4214,,0,AT7 +2Z,1729,GYN,2562,RAO,2613,,0,AT7 +2Z,1729,GYN,2562,UDI,2633,,0,AT7 +2Z,1729,OPS,7367,BSB,2531,,0,AT7 +2Z,1729,OPS,7367,CGB,2548,,0,AT7 +2Z,1729,PLU,2528,RAO,2613,,0,AT7 +2Z,1729,PMW,4214,AUX,7376,,0,AT7 +2Z,1729,PMW,4214,GYN,2562,,0,AT7 +2Z,1729,RAO,2613,BSB,2531,,0,AT7 +2Z,1729,RAO,2613,GIG,2560,,0,AT7 +2Z,1729,RAO,2613,GRU,2564,,0,AT7 +2Z,1729,RAO,2613,GYN,2562,,0,AT7 +2Z,1729,RAO,2613,PLU,2528,,0,AT7 +2Z,1729,RAO,2613,SJP,2619,,0,AT7 +2Z,1729,RAO,2613,UDI,2633,,0,AT7 +2Z,1729,SJP,2619,RAO,2613,,0,AT7 +2Z,1729,SSA,2621,BRA,7373,,0,AT7 +2Z,1729,SSA,2621,VDC,6039,,0,AT7 +2Z,1729,UBA,2635,GRU,2564,,0,AT7 +2Z,1729,UBA,2635,UDI,2633,,0,AT7 +2Z,1729,UDI,2633,GRU,2564,,0,AT7 +2Z,1729,UDI,2633,GYN,2562,,0,AT7 +2Z,1729,UDI,2633,RAO,2613,,0,AT7 +2Z,1729,UDI,2633,UBA,2635,,0,AT7 +2Z,1729,VDC,6039,GRU,2564,,0,AT7 +2Z,1729,VDC,6039,SSA,2621,,0,AT7 +3E,10739,BRL,5726,ORD,3830,,0,CNC +3E,10739,BRL,5726,STL,3678,,0,CNC +3E,10739,DEC,4042,ORD,3830,,0,CNC +3E,10739,DEC,4042,STL,3678,,0,CNC +3E,10739,JBR,3591,STL,3678,,0,CNC +3E,10739,ORD,3830,BRL,5726,,0,CNC +3E,10739,ORD,3830,DEC,4042,,0,CNC +3E,10739,STL,3678,BRL,5726,,0,CNC +3E,10739,STL,3678,DEC,4042,,0,CNC +3E,10739,STL,3678,JBR,3591,,0,CNC +3F,16262,CGA,7144,HYL,7145,,0,DHP +3F,16262,CGA,7144,KTN,3808,,0,DHP +3F,16262,HYL,7145,CGA,7144,,0,DHP +3F,16262,HYL,7145,KTB,7147,,0,DHP +3F,16262,HYL,7145,KTN,3808,,0,DHP +3F,16262,KTB,7147,HYL,7145,,0,DHP +3F,16262,KTB,7147,KTN,3808,,0,DHP +3F,16262,KTN,3808,CGA,7144,,0,DHP +3F,16262,KTN,3808,HYL,7145,,0,DHP +3F,16262,KTN,3808,KTB,7147,,0,DHP +3F,16262,KTN,3808,MTM,7146,,0,DHP +3F,16262,MTM,7146,KTN,3808,,0,DHP +3G,595,ACC,248,DKR,1084,,0,319 +3G,595,ACC,248,LOS,273,,0,319 +3G,595,ACC,248,ROB,1063,,0,319 +3G,595,BCN,1218,BJL,1050,,0,319 +3G,595,BJL,1050,BCN,1218,,0,319 +3G,595,BJL,1050,DKR,1084,,0,319 +3G,595,BJL,1050,FNA,1059,,0,319 +3G,595,CKY,4162,OXB,5665,,0,319 +3G,595,DKR,1084,ACC,248,,0,319 +3G,595,DKR,1084,BJL,1050,,0,319 +3G,595,DKR,1084,DLA,897,,0,319 +3G,595,DKR,1084,FNA,1059,,0,319 +3G,595,DKR,1084,LOS,273,,0,319 +3G,595,DKR,1084,OXB,5665,,0,319 +3G,595,DLA,897,DKR,1084,,0,319 +3G,595,DLA,897,LOS,273,,0,319 +3G,595,FNA,1059,BJL,1050,,0,319 +3G,595,FNA,1059,DKR,1084,,0,319 +3G,595,FNA,1059,LGW,502,,0,319 +3G,595,FNA,1059,ROB,1063,,0,319 +3G,595,LGW,502,FNA,1059,,0,319 +3G,595,LOS,273,ACC,248,,0,319 +3G,595,LOS,273,DKR,1084,,0,319 +3G,595,LOS,273,DLA,897,,0,319 +3G,595,LOS,273,ROB,1063,,0,319 +3G,595,OXB,5665,CKY,4162,,0,319 +3G,595,OXB,5665,DKR,1084,,0,319 +3G,595,ROB,1063,ACC,248,,0,319 +3G,595,ROB,1063,FNA,1059,,0,319 +3G,595,ROB,1063,LOS,273,,0,319 +3H,\N,AKV,5506,YIK,5504,,0,DH8 +3H,\N,AKV,5506,YPX,6727,,0,DH8 +3H,\N,XGR,5512,YVP,154,,0,DHT BET +3H,\N,YGL,62,YGW,5496,,0,DHT +3H,\N,YGL,62,YPX,6727,,0,73M +3H,\N,YGL,62,YUL,146,,0,73M +3H,\N,YGW,5496,YGL,62,,0,DHT +3H,\N,YGW,5496,YPH,5520,,0,BET +3H,\N,YGW,5496,YSK,5529,,0,DH8 +3H,\N,YGW,5496,YUD,5515,,0,DH8 +3H,\N,YGW,5496,YUL,146,,0,DH8 +3H,\N,YGW,5496,YUY,149,,0,DH8 +3H,\N,YIK,5504,AKV,5506,,0,DH8 +3H,\N,YIK,5504,YZG,5535,,0,DH8 +3H,\N,YKG,5481,YPJ,5508,,0,DHT DH8 +3H,\N,YKG,5481,YQC,5499,,0,DH8 +3H,\N,YKG,5481,YVP,154,,0,DH8 DHT +3H,\N,YKL,80,YQB,111,,0,DH8 +3H,\N,YKL,80,YVP,154,,0,DH8 BET +3H,\N,YKL,80,YWK,161,,0,BET +3H,\N,YKL,80,YZV,202,,0,BET DH8 +3H,\N,YPH,5520,YPX,6727,,0,DH8 BET +3H,\N,YPH,5520,YUD,5515,,0,DH8 +3H,\N,YPH,5520,YVP,154,,0,BET +3H,\N,YPJ,5508,YKG,5481,,0,DHT DH8 +3H,\N,YPJ,5508,YTQ,6728,,0,DHT DH8 +3H,\N,YPJ,5508,YVP,154,,0,DHT +3H,\N,YPX,6727,AKV,5506,,0,DH8 +3H,\N,YPX,6727,YGL,62,,0,73M +3H,\N,YPX,6727,YPH,5520,,0,DH8 +3H,\N,YPX,6727,YVP,154,,0,BET +3H,\N,YQB,111,YKL,80,,0,DH8 +3H,\N,YQB,111,YUL,146,,0,DH8 +3H,\N,YQC,5499,YKG,5481,,0,DH8 +3H,\N,YQC,5499,YWB,7253,,0,DH8 +3H,\N,YSK,5529,YGW,5496,,0,DH8 +3H,\N,YSK,5529,YUD,5515,,0,DH8 +3H,\N,YTQ,6728,YPJ,5508,,0,DHT DH8 +3H,\N,YTQ,6728,YVP,154,,0,DHT DH8 +3H,\N,YUD,5515,YGW,5496,,0,DH8 +3H,\N,YUD,5515,YPH,5520,,0,DH8 +3H,\N,YUD,5515,YSK,5529,,0,DH8 +3H,\N,YUL,146,YGL,62,,0,73M +3H,\N,YUL,146,YGW,5496,,0,DH8 +3H,\N,YUL,146,YQB,111,,0,DH8 +3H,\N,YUL,146,YUY,149,,0,DH8 +3H,\N,YUY,149,YGW,5496,,0,DH8 +3H,\N,YUY,149,YUL,146,,0,DH8 +3H,\N,YVP,154,XGR,5512,,0,DHT BET +3H,\N,YVP,154,YGW,5496,,0,BET +3H,\N,YVP,154,YKG,5481,,0,DH8 +3H,\N,YVP,154,YKL,80,,0,DH8 BET +3H,\N,YVP,154,YPH,5520,,0,BET +3H,\N,YVP,154,YPJ,5508,,0,DHT +3H,\N,YVP,154,YPX,6727,,0,BET +3H,\N,YVP,154,YTQ,6728,,0,DHT DH8 +3H,\N,YWB,7253,YQC,5499,,0,DH8 +3H,\N,YWB,7253,YZG,5535,,0,DH8 +3H,\N,YWK,161,YKL,80,,0,BET +3H,\N,YWK,161,YZV,202,,0,BET +3H,\N,YZG,5535,YIK,5504,,0,DH8 +3H,\N,YZG,5535,YWB,7253,,0,DH8 +3H,\N,YZV,202,YKL,80,,0,BET DH8 +3H,\N,YZV,202,YWK,161,,0,BET +3J,5521,JIB,4119,DXB,2188,,0,737 +3J,5521,JIB,4119,JED,2072,,0,737 +3J,5521,JIB,4119,MGQ,5687,,0,737 +3J,5521,MGQ,5687,NBO,4059,,0,737 +3J,5521,NBO,4059,MGQ,5687,,0,737 +3K,3021,BKK,3885,SIN,3316,,0,320 +3K,3021,DRW,3999,SIN,3316,,0,320 +3K,3021,HAK,4120,SIN,3316,,0,320 +3K,3021,HGH,3386,SIN,3316,,0,320 +3K,3021,HKG,3077,SIN,3316,,0,320 +3K,3021,HKT,3179,SIN,3316,,0,320 +3K,3021,KIX,3992,MNL,2397,,0,320 +3K,3021,KIX,3992,TPE,2276,,0,320 +3K,3021,KUL,3304,SIN,3316,,0,320 +3K,3021,MNL,2397,KIX,3992,,0,320 +3K,3021,MNL,2397,SIN,3316,,0,320 +3K,3021,PEN,3308,SIN,3316,,0,320 +3K,3021,PER,3351,SIN,3316,,0,320 +3K,3021,PNH,3034,SIN,3316,,0,320 +3K,3021,REP,3035,SIN,3316,,0,320 +3K,3021,RGN,3239,SIN,3316,,0,320 +3K,3021,SGN,3205,SIN,3316,,0,320 +3K,3021,SIN,3316,BKK,3885,,0,320 +3K,3021,SIN,3316,DRW,3999,,0,320 +3K,3021,SIN,3316,HAK,4120,,0,320 +3K,3021,SIN,3316,HGH,3386,,0,320 +3K,3021,SIN,3316,HKG,3077,,0,320 +3K,3021,SIN,3316,HKT,3179,,0,320 +3K,3021,SIN,3316,KUL,3304,,0,320 +3K,3021,SIN,3316,MNL,2397,,0,320 +3K,3021,SIN,3316,PEN,3308,,0,320 +3K,3021,SIN,3316,PER,3351,,0,320 +3K,3021,SIN,3316,PNH,3034,,0,320 +3K,3021,SIN,3316,REP,3035,,0,320 +3K,3021,SIN,3316,RGN,3239,,0,320 +3K,3021,SIN,3316,SGN,3205,,0,320 +3K,3021,SIN,3316,SWA,4302,,0,320 +3K,3021,SIN,3316,TPE,2276,,0,320 +3K,3021,SWA,4302,SIN,3316,,0,320 +3K,3021,TPE,2276,KIX,3992,,0,320 +3K,3021,TPE,2276,SIN,3316,,0,320 +3L,2916,ACH,1679,EBA,1558,,0,DH3 +3L,2916,DRS,338,ZRH,1678,,0,DH3 +3L,2916,DUS,345,FDH,382,,0,DH3 +3L,2916,EBA,1558,ACH,1679,,0,DH3 +3L,2916,EBA,1558,FDH,382,,0,DH3 +3L,2916,EBA,1558,MUC,346,,0,DH3 +3L,2916,EBA,1558,ZRH,1678,,0,DH3 +3L,2916,FDH,382,DUS,345,,0,DH3 +3L,2916,FDH,382,EBA,1558,,0,DH3 +3L,2916,FDH,382,HAM,342,,0,AT7 +3L,2916,FDH,382,OLB,1520,,0,AT7 +3L,2916,FDH,382,TXL,351,,0,AT7 +3L,2916,FDH,382,ZAD,1209,,0,AT7 +3L,2916,FMM,3986,NAP,1561,,0,AT7 +3L,2916,GRZ,1609,ZRH,1678,,0,DH3 +3L,2916,HAM,342,FDH,382,,0,AT7 +3L,2916,MUC,346,EBA,1558,,0,DH3 +3L,2916,NAP,1561,FMM,3986,,0,AT7 +3L,2916,OLB,1520,FDH,382,,0,AT7 +3L,2916,SZG,1612,ZRH,1678,,0,DH3 +3L,2916,TXL,351,FDH,382,,0,AT7 +3L,2916,ZAD,1209,FDH,382,,0,AT7 +3L,2916,ZRH,1678,DRS,338,,0,DH3 +3L,2916,ZRH,1678,EBA,1558,,0,DH3 +3L,2916,ZRH,1678,GRZ,1609,,0,DH3 +3L,2916,ZRH,1678,SZG,1612,,0,DH3 +3M,\N,ATL,3682,LWB,6958,,0,SF3 +3M,\N,ATL,3682,MCN,3754,,0,SF3 +3M,\N,ATL,3682,MEI,4335,,0,SF3 +3M,\N,ATL,3682,MSL,5756,,0,SF3 +3M,\N,ATL,3682,PIB,5759,,0,SF3 +3M,\N,ATL,3682,TUP,5773,,0,SF3 +3M,\N,BIM,1937,FLL,3533,,0,SF3 +3M,\N,ELH,1943,FLL,3533,,0,SF3 +3M,\N,ELH,1943,PBI,3722,,0,SF3 +3M,\N,EYW,3875,FLL,3533,,0,SF3 +3M,\N,EYW,3875,RSW,3793,,0,SF3 +3M,\N,EYW,3875,TPA,3646,,0,SF3 +3M,\N,FLL,3533,BIM,1937,,0,SF3 +3M,\N,FLL,3533,ELH,1943,,0,SF3 +3M,\N,FLL,3533,EYW,3875,,0,SF3 +3M,\N,FLL,3533,FPO,1948,,0,SF3 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+5J,1683,CEB,4206,BCD,2423,,0,320 ATR +5J,1683,CEB,4206,BXU,4200,,0,319 +5J,1683,CEB,4206,CGM,6012,,0,ATR +5J,1683,CEB,4206,CGY,2400,,0,ATR 320 319 +5J,1683,CEB,4206,CRK,4140,,0,319 +5J,1683,CEB,4206,DGT,2425,,0,ATR +5J,1683,CEB,4206,DPL,4201,,0,ATR +5J,1683,CEB,4206,DVO,4090,,0,320 319 +5J,1683,CEB,4206,GES,6011,,0,320 +5J,1683,CEB,4206,HKG,3077,,0,320 +5J,1683,CEB,4206,IAO,\N,,0,ATR +5J,1683,CEB,4206,ICN,3930,,0,320 +5J,1683,CEB,4206,ILO,2429,,0,319 320 +5J,1683,CEB,4206,KLO,2430,,0,320 +5J,1683,CEB,4206,LGP,4203,,0,ATR +5J,1683,CEB,4206,MNL,2397,,0,319 320 330 ATR +5J,1683,CEB,4206,MPH,4002,,0,ATR +5J,1683,CEB,4206,OZC,4204,,0,ATR +5J,1683,CEB,4206,PAG,2401,,0,ATR +5J,1683,CEB,4206,PPS,2433,,0,320 +5J,1683,CEB,4206,PUS,2372,,0,320 +5J,1683,CEB,4206,SIN,3316,,0,320 +5J,1683,CEB,4206,SUG,6016,,0,ATR +5J,1683,CEB,4206,TAC,2422,,0,ATR 319 +5J,1683,CEB,4206,USU,4199,,0,ATR +5J,1683,CEB,4206,ZAM,2404,,0,319 +5J,1683,CGK,3275,MNL,2397,,0,320 +5J,1683,CGM,6012,CEB,4206,,0,ATR 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+5J,1683,HAN,3199,MNL,2397,,0,319 +5J,1683,HKG,3077,CEB,4206,,0,320 +5J,1683,HKG,3077,CRK,4140,,0,319 +5J,1683,HKG,3077,ILO,2429,,0,319 +5J,1683,HKG,3077,MNL,2397,,0,320 +5J,1683,HKT,3179,MNL,2397,,0,320 +5J,1683,IAO,\N,CEB,4206,,0,ATR +5J,1683,ICN,3930,CEB,4206,,0,320 +5J,1683,ICN,3930,KLO,2430,,0,320 +5J,1683,ICN,3930,MNL,2397,,0,330 +5J,1683,ILO,2429,CEB,4206,,0,319 320 +5J,1683,ILO,2429,CGY,2400,,0,319 +5J,1683,ILO,2429,DVO,4090,,0,320 319 +5J,1683,ILO,2429,GES,6011,,0,319 +5J,1683,ILO,2429,HKG,3077,,0,319 +5J,1683,ILO,2429,MNL,2397,,0,320 319 +5J,1683,ILO,2429,PPS,2433,,0,319 +5J,1683,ILO,2429,SIN,3316,,0,319 +5J,1683,KIX,3992,MNL,2397,,0,320 +5J,1683,KLO,2430,CEB,4206,,0,320 +5J,1683,KLO,2430,ICN,3930,,0,320 +5J,1683,KLO,2430,MNL,2397,,0,320 ATR 319 +5J,1683,KUL,3304,MNL,2397,,0,320 +5J,1683,LAO,4202,MNL,2397,,0,319 +5J,1683,LGP,4203,CEB,4206,,0,ATR +5J,1683,LGP,4203,MNL,2397,,0,320 319 +5J,1683,MFM,3121,CRK,4140,,0,319 +5J,1683,MFM,3121,MNL,2397,,0,319 +5J,1683,MNL,2397,BCD,2423,,0,320 319 +5J,1683,MNL,2397,BKI,3269,,0,320 +5J,1683,MNL,2397,BKK,3885,,0,320 +5J,1683,MNL,2397,BWN,3272,,0,320 +5J,1683,MNL,2397,BXU,4200,,0,320 +5J,1683,MNL,2397,CAN,3370,,0,320 +5J,1683,MNL,2397,CBO,2399,,0,319 320 +5J,1683,MNL,2397,CEB,4206,,0,319 320 330 ATR +5J,1683,MNL,2397,CGK,3275,,0,320 +5J,1683,MNL,2397,CGY,2400,,0,320 319 +5J,1683,MNL,2397,CYZ,6733,,0,319 +5J,1683,MNL,2397,DGT,2425,,0,319 +5J,1683,MNL,2397,DPL,4201,,0,320 319 +5J,1683,MNL,2397,DPS,3940,,0,320 +5J,1683,MNL,2397,DVO,4090,,0,320 330 +5J,1683,MNL,2397,DXB,2188,,0,330 +5J,1683,MNL,2397,GES,6011,,0,320 +5J,1683,MNL,2397,HAN,3199,,0,319 +5J,1683,MNL,2397,HKG,3077,,0,320 +5J,1683,MNL,2397,HKT,3179,,0,320 +5J,1683,MNL,2397,ICN,3930,,0,330 +5J,1683,MNL,2397,ILO,2429,,0,320 319 +5J,1683,MNL,2397,KIX,3992,,0,320 +5J,1683,MNL,2397,KLO,2430,,0,320 ATR 319 +5J,1683,MNL,2397,KUL,3304,,0,320 +5J,1683,MNL,2397,LAO,4202,,0,319 +5J,1683,MNL,2397,LGP,4203,,0,320 319 +5J,1683,MNL,2397,MFM,3121,,0,319 +5J,1683,MNL,2397,MPH,4002,,0,ATR +5J,1683,MNL,2397,NGO,3942,,0,320 +5J,1683,MNL,2397,NRT,2279,,0,320 +5J,1683,MNL,2397,OZC,4204,,0,320 +5J,1683,MNL,2397,PAG,2401,,0,319 320 +5J,1683,MNL,2397,PEK,3364,,0,320 +5J,1683,MNL,2397,PPS,2433,,0,320 319 +5J,1683,MNL,2397,PUS,2372,,0,320 +5J,1683,MNL,2397,PVG,3406,,0,320 +5J,1683,MNL,2397,REP,3035,,0,320 +5J,1683,MNL,2397,RXS,6026,,0,320 +5J,1683,MNL,2397,SGN,3205,,0,320 +5J,1683,MNL,2397,SIN,3316,,0,330 320 +5J,1683,MNL,2397,SJI,2435,,0,319 +5J,1683,MNL,2397,TAC,2422,,0,320 +5J,1683,MNL,2397,TAG,3994,,0,319 +5J,1683,MNL,2397,TPE,2276,,0,320 +5J,1683,MNL,2397,TUG,6021,,0,319 +5J,1683,MNL,2397,USU,4199,,0,ATR +5J,1683,MNL,2397,VRC,6022,,0,319 +5J,1683,MNL,2397,WNP,6018,,0,ATR +5J,1683,MNL,2397,XMN,3383,,0,320 +5J,1683,MNL,2397,ZAM,2404,,0,320 +5J,1683,MPH,4002,CEB,4206,,0,ATR +5J,1683,MPH,4002,MNL,2397,,0,ATR +5J,1683,NGO,3942,MNL,2397,,0,320 +5J,1683,NRT,2279,MNL,2397,,0,320 +5J,1683,OZC,4204,CEB,4206,,0,ATR +5J,1683,OZC,4204,MNL,2397,,0,320 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+7H,16726,BKC,7178,DRG,6755,Y,0,CNC +7H,16726,BKC,7178,OTZ,3693,Y,0,CNC +7H,16726,BRW,3571,AIN,7220,Y,0,BE1 CNC +7H,16726,BRW,3571,ATK,6714,Y,0,CNC +7H,16726,BRW,3571,NUI,7092,Y,0,BE1 +7H,16726,BRW,3571,PIZ,3414,Y,0,CNC BE1 +7H,16726,BTI,3411,FYU,3420,Y,0,BE1 +7H,16726,BTI,3411,SCC,3620,Y,0,BE1 +7H,16726,CDV,3610,ANC,3774,,0,BE1 +7H,16726,CHU,7091,CKD,7238,Y,0,CNA +7H,16726,CKD,7238,RDV,7239,Y,0,CNA +7H,16726,CKD,7238,SLQ,7240,Y,0,CNA +7H,16726,CYF,6960,BET,3599,Y,0,CNA +7H,16726,CYF,6960,KPN,7201,Y,0,CNA +7H,16726,DRG,6755,BKC,7178,Y,0,CNC +7H,16726,DRG,6755,OTZ,3693,Y,0,CNC +7H,16726,EEK,7093,KWN,7206,Y,0,CNA +7H,16726,ELI,7184,KKA,7190,Y,0,PAG +7H,16726,ELI,7184,OME,3615,Y,0,PAG +7H,16726,EMK,7087,AUK,7199,Y,0,CNA +7H,16726,EMK,7087,KOT,7207,Y,0,CNA +7H,16726,ENA,3628,ANC,3774,,0,BE1 DH8 +7H,16726,FAI,3832,ANC,3774,,0,DH8 BE1 +7H,16726,FAI,3832,FYU,3420,Y,0,BE1 +7H,16726,FAI,3832,GAL,3764,,0,BE1 +7H,16726,FAI,3832,RBY,6722,Y,0,CNC +7H,16726,FAI,3832,SCC,3620,,0,DH8 +7H,16726,FYU,3420,BTI,3411,Y,0,BE1 +7H,16726,FYU,3420,FAI,3832,Y,0,BE1 +7H,16726,GAL,3764,FAI,3832,,0,BE1 +7H,16726,GAL,3764,HSL,7108,Y,0,CNC +7H,16726,GAL,3764,KAL,6717,Y,0,CNC +7H,16726,GAL,3764,NUL,7111,Y,0,CNC BE1 +7H,16726,GAL,3764,RBY,6722,Y,0,CNC +7H,16726,GAM,6715,OME,3615,Y,0,BE1 +7H,16726,GAM,6715,SVA,6724,Y,0,BE1 +7H,16726,GLV,7185,OME,3615,Y,0,PAG +7H,16726,GLV,7185,WMO,7188,Y,0,PAG +7H,16726,HCR,5962,ANI,5967,Y,0,CNC +7H,16726,HCR,5962,ANV,6713,Y,0,CNC +7H,16726,HOM,3664,ANC,3774,,0,BE1 DH8 +7H,16726,HPB,6716,SCM,7209,Y,0,CNA +7H,16726,HPB,6716,VAK,5968,Y,0,CNA +7H,16726,HSL,7108,GAL,3764,Y,0,CNC +7H,16726,HSL,7108,KYU,7208,Y,0,CNC +7H,16726,IAN,7179,ORV,7181,Y,0,CNC +7H,16726,IAN,7179,OTZ,3693,Y,0,CNC +7H,16726,KAL,6717,GAL,3764,Y,0,CNC BE1 +7H,16726,KAL,6717,NUL,7111,Y,0,CNC +7H,16726,KGX,7219,ANV,6713,Y,0,CNC +7H,16726,KGX,7219,SHX,7090,Y,0,CNC +7H,16726,KKA,7190,ELI,7184,Y,0,PAG +7H,16726,KKA,7190,SKK,7192,Y,0,PAG +7H,16726,KKA,7190,UNK,7088,Y,0,CNC +7H,16726,KKH,7213,BET,3599,Y,0,CNA +7H,16726,KKH,7213,KWK,7096,Y,0,CNA +7H,16726,KKI,\N,AKI,7217,Y,0,CNA +7H,16726,KKI,\N,KWT,7095,Y,0,CNA +7H,16726,KLG,5964,ANI,5967,Y,0,CNA CNC +7H,16726,KLG,5964,BET,3599,Y,0,CNA CNC +7H,16726,KLG,5964,RSH,7098,Y,0,CNA +7H,16726,KOT,7207,EMK,7087,Y,0,CNA +7H,16726,KOT,7207,KSM,6718,Y,0,CNA +7H,16726,KOT,7207,WBB,7193,Y,0,CNC +7H,16726,KPN,7201,BET,3599,Y,0,CNA +7H,16726,KPN,7201,CYF,6960,Y,0,CNA +7H,16726,KSM,6718,ANC,3774,,0,DH8 +7H,16726,KSM,6718,KOT,7207,Y,0,CNA +7H,16726,KSM,6718,MOU,5966,Y,0,CNA +7H,16726,KSM,6718,SXP,7200,Y,0,CNA +7H,16726,KTS,7183,TLA,7186,Y,0,PAG +7H,16726,KTS,7183,WAA,7187,Y,0,PAG +7H,16726,KUK,7094,NUP,7212,Y,0,CNA +7H,16726,KVL,6719,OTZ,3693,Y,0,CNC +7H,16726,KWK,7096,BET,3599,Y,0,CNA +7H,16726,KWK,7096,KKH,7213,Y,0,CNA +7H,16726,KWK,7096,KPN,7201,Y,0,CNA +7H,16726,KWN,7206,BET,3599,Y,0,CNA +7H,16726,KWN,7206,TOG,6767,Y,0,CNA +7H,16726,KWT,7095,BET,3599,Y,0,CNA +7H,16726,KWT,7095,KKI,\N,Y,0,CNA 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+7H,16726,OOK,8200,TNK,8201,Y,0,CNA +7H,16726,ORV,7181,IAN,7179,Y,0,CNC +7H,16726,ORV,7181,OTZ,3693,Y,0,CNC +7H,16726,OTZ,3693,ABL,7177,Y,0,CNC +7H,16726,OTZ,3693,BKC,7178,Y,0,CNC +7H,16726,OTZ,3693,DRG,6755,Y,0,CNC +7H,16726,OTZ,3693,IAN,7179,Y,0,CNC +7H,16726,OTZ,3693,ORV,7181,Y,0,CNC +7H,16726,OTZ,3693,PHO,6721,Y,0,CNC +7H,16726,OTZ,3693,SHG,7117,Y,0,CNC +7H,16726,OTZ,3693,WLK,7182,Y,0,CNC +7H,16726,OTZ,3693,WTK,6725,Y,0,CNC +7H,16726,PHO,6721,OTZ,3693,Y,0,CNC +7H,16726,PHO,6721,PIZ,3414,Y,0,BE1 +7H,16726,PIZ,3414,BRW,3571,Y,0,CNC BE1 +7H,16726,PIZ,3414,PHO,6721,Y,0,BE1 +7H,16726,PQS,7216,BET,3599,Y,0,CNA +7H,16726,PQS,7216,MOU,5966,Y,0,CNA +7H,16726,RBY,6722,FAI,3832,Y,0,CNC +7H,16726,RBY,6722,GAL,3764,Y,0,CNC +7H,16726,RDV,7239,SLQ,7240,Y,0,CNA +7H,16726,RSH,7098,ANI,5967,Y,0,CNA +7H,16726,RSH,7098,BET,3599,Y,0,CNA +7H,16726,RSH,7098,KLG,5964,Y,0,CNA +7H,16726,SCC,3620,BTI,3411,Y,0,BE1 +7H,16726,SCC,3620,FAI,3832,,0,DH8 +7H,16726,SCC,3620,NUI,7092,Y,0,BE1 +7H,16726,SCM,7209,BET,3599,Y,0,CNA +7H,16726,SHG,7117,OBU,7180,Y,0,CNC +7H,16726,SHH,6723,OME,3615,Y,0,PAG +7H,16726,SHH,6723,WAA,7187,Y,0,CNT +7H,16726,SHX,7090,ANI,5967,Y,0,CNC +7H,16726,SHX,7090,KGX,7219,Y,0,CNC +7H,16726,SKK,7192,KKA,7190,Y,0,PAG CNC +7H,16726,SKK,7192,OME,3615,Y,0,PAG +7H,16726,SKK,7192,UNK,7088,Y,0,CNC +7H,16726,SLQ,7240,ANI,5967,Y,0,CNA +7H,16726,SLQ,7240,SRV,7241,Y,0,CNA +7H,16726,SMK,7191,UNK,7088,Y,0,CNC +7H,16726,SMK,7191,WBB,7193,Y,0,CNA CNC +7H,16726,SRV,7241,ANI,5967,Y,0,CNA +7H,16726,SVA,6724,GAM,6715,Y,0,BE1 +7H,16726,SVA,6724,OME,3615,Y,0,BE1 +7H,16726,SXP,7200,AUK,7199,Y,0,CNA +7H,16726,SXP,7200,KSM,6718,Y,0,CNA +7H,16726,TLA,7186,KTS,7183,Y,0,PAG +7H,16726,TLA,7186,OME,3615,Y,0,PAG +7H,16726,TLT,7218,AKI,7217,Y,0,CNA +7H,16726,TLT,7218,BET,3599,Y,0,CNA +7H,16726,TNK,8201,WWT,8203,Y,0,CNC CNA +7H,16726,TOG,6767,KWN,7206,Y,0,CNA +7H,16726,UNK,7088,ANC,3774,,0,DH8 +7H,16726,UNK,7088,SKK,7192,Y,0,CNC +7H,16726,UNK,7088,SMK,7191,Y,0,CNA CNC 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+7I,18944,CUR,2897,BON,2896,,0,F50 M83 +7I,18944,CUR,2897,BRM,2824,,0,M83 F50 +7I,18944,CUR,2897,CCS,2851,,0,M83 F50 +7I,18944,CUR,2897,CLT,3876,,0,M83 +7I,18944,CUR,2897,KIN,1779,,0,F50 +7I,18944,CUR,2897,LSP,2844,,0,F50 +7I,18944,CUR,2897,MAR,2848,,0,M83 +7I,18944,CUR,2897,MDE,2745,,0,M83 +7I,18944,CUR,2897,MIA,3576,,0,M83 +7I,18944,CUR,2897,PBM,2773,,0,M83 +7I,18944,CUR,2897,POS,2902,,0,733 +7I,18944,CUR,2897,SDQ,1762,,0,M83 +7I,18944,CUR,2897,SXM,2899,,0,M83 +7I,18944,CUR,2897,VLN,2868,,0,M83 +7I,18944,KIN,1779,CUR,2897,,0,F50 +7I,18944,LRM,1759,AUA,2895,,0,M83 +7I,18944,LSP,2844,CUR,2897,,0,F50 +7I,18944,MAR,2848,CUR,2897,,0,M83 +7I,18944,MDE,2745,CUR,2897,,0,M83 +7I,18944,MIA,3576,AUA,2895,,0,M83 +7I,18944,MIA,3576,CUR,2897,,0,M83 +7I,18944,PAP,1897,SXM,2899,,0,M83 +7I,18944,PBM,2773,CUR,2897,,0,M83 +7I,18944,PBM,2773,POS,2902,,0,733 +7I,18944,POS,2902,CUR,2897,,0,733 +7I,18944,POS,2902,PBM,2773,,0,733 +7I,18944,SDQ,1762,CUR,2897,,0,M83 +7I,18944,SDQ,1762,SXM,2899,,0,M83 +7I,18944,SXM,2899,CUR,2897,,0,M83 +7I,18944,SXM,2899,PAP,1897,,0,M83 +7I,18944,SXM,2899,SDQ,1762,,0,M83 +7I,18944,VLN,2868,AUA,2895,,0,M83 +7I,18944,VLN,2868,CUR,2897,,0,M83 +7J,9531,AER,2965,DYU,2979,,0,735 +7J,9531,ALA,2908,DYU,2979,,0,MA6 +7J,9531,DEL,3093,DYU,2979,,0,735 +7J,9531,DME,4029,DYU,2979,,0,752 +7J,9531,DME,4029,LBD,6147,,0,735 +7J,9531,DYU,2979,AER,2965,,0,735 +7J,9531,DYU,2979,ALA,2908,,0,MA6 +7J,9531,DYU,2979,DEL,3093,,0,735 +7J,9531,DYU,2979,DME,4029,,0,752 +7J,9531,DYU,2979,FRU,2912,,0,MA6 +7J,9531,DYU,2979,IKA,4330,,0,735 +7J,9531,DYU,2979,IST,1701,,0,735 +7J,9531,DYU,2979,LED,2948,,0,735 +7J,9531,DYU,2979,OVB,4078,,0,735 +7J,9531,DYU,2979,SGC,2974,,0,735 +7J,9531,DYU,2979,SHJ,2191,,0,735 +7J,9531,DYU,2979,SVX,2975,,0,735 +7J,9531,DYU,2979,URC,3399,,0,752 +7J,9531,FRU,2912,DYU,2979,,0,MA6 +7J,9531,IKA,4330,DYU,2979,,0,735 +7J,9531,IST,1701,DYU,2979,,0,735 +7J,9531,LBD,6147,DME,4029,,0,733 +7J,9531,LBD,6147,LED,2948,,0,733 +7J,9531,LBD,6147,OVB,4078,,0,733 +7J,9531,LBD,6147,SGC,2974,,0,733 +7J,9531,LED,2948,DYU,2979,,0,735 +7J,9531,LED,2948,LBD,6147,,0,735 +7J,9531,OVB,4078,DYU,2979,,0,735 +7J,9531,OVB,4078,LBD,6147,,0,735 +7J,9531,SGC,2974,DYU,2979,,0,735 +7J,9531,SGC,2974,LBD,6147,,0,735 +7J,9531,SHJ,2191,DYU,2979,,0,735 +7J,9531,SVX,2975,DYU,2979,,0,735 +7J,9531,URC,3399,DYU,2979,,0,752 +7M,16615,CUN,1852,CZM,1800,,0,D28 CNA +7M,16615,CUN,1852,MID,1819,,0,D28 +7M,16615,CZM,1800,CUN,1852,,0,CNA D28 +7M,16615,MID,1819,CUN,1852,,0,D28 +7M,16615,MID,1819,VSA,1853,,0,D28 +7M,16615,VER,1854,VSA,1853,,0,D28 +7M,16615,VSA,1853,MID,1819,,0,D28 +7M,16615,VSA,1853,VER,1854,,0,D28 +7P,1500,ACU,8204,PAC,1869,,0,DHT +7P,1500,BFQ,5955,JQE,5840,,0,DHT +7P,1500,BOC,1865,PAC,1869,,0,F50 +7P,1500,CHX,1866,BOC,1865,,0,F50 +7P,1500,DAV,1867,PAC,1869,,0,100 F50 +7P,1500,DAV,1867,SJO,1885,,0,F50 +7P,1500,GHE,8206,PAC,1869,,0,BNI +7P,1500,JQE,5840,PAC,1869,,0,DHT +7P,1500,MPP,8207,PAC,1869,,0,DHT +7P,1500,OGM,\N,MPP,8207,,0,DHT 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+7R,1469,VOZ,2987,KRR,2960,,0,CR2 +7R,1469,VOZ,2987,LED,2948,,0,CR2 +7S,\N,ANI,5967,HCR,5962,,0,CNA +7S,\N,ANI,5967,KLG,5964,,0, CNA +7S,\N,ANV,6713,KGX,7219,,0, CNA +7S,\N,HCR,5962,ANV,6713,,0,CNA +7S,\N,KGX,7219,SHX,7090,,0, CNA +7S,\N,KLG,5964,RSH,7098,,0, CNA +7S,\N,RSH,7098,ANI,5967,,0, +7S,\N,SHX,7090,ANI,5967,,0, +8B,17408,BKK,3885,CKG,3393,,0,763 +8B,17408,BKK,3885,HKT,3179,,0,763 +8B,17408,BKK,3885,ICN,3930,,0,763 +8B,17408,CKG,3393,BKK,3885,,0,763 +8B,17408,CKG,3393,HKT,3179,,0,763 +8B,17408,CNX,3931,ICN,3930,,0,763 +8B,17408,HKT,3179,BKK,3885,,0,763 +8B,17408,HKT,3179,CKG,3393,,0,763 +8B,17408,HKT,3179,ICN,3930,,0,763 +8B,17408,ICN,3930,BKK,3885,,0,763 +8B,17408,ICN,3930,CNX,3931,,0,763 +8B,17408,ICN,3930,HKT,3179,,0,763 +8D,1109,ADQ,3531,AKK,7160,,0,CNA +8D,1109,ADQ,3531,KOZ,7164,,0,CNA +8D,1109,ADQ,3531,OLH,7163,,0,CNA +8D,1109,ADQ,3531,ORI,7165,,0,CNA +8D,1109,AKK,7160,ADQ,3531,,0,CNA +8D,1109,KOZ,7164,ADQ,3531,,0,CNA +8D,1109,OLH,7163,ADQ,3531,,0,CNA +8D,1109,ORI,7165,ADQ,3531,,0,CNA +8E,1472,ABL,7177,OTZ,3693,,0,CNC +8E,1472,ABL,7177,SHG,7117,,0,CNC +8E,1472,BKC,7178,DRG,6755,,0,CNC +8E,1472,BKC,7178,OTZ,3693,,0,CNC +8E,1472,DRG,6755,BKC,7178,,0,CNC +8E,1472,DRG,6755,OTZ,3693,,0,CNC +8E,1472,ELI,7184,GLV,7185,,0,PA2 +8E,1472,ELI,7184,KKA,7190,,0,CNC +8E,1472,ELI,7184,OME,3615,,0,CNC +8E,1472,GAM,6715,OME,3615,,0,BE1 +8E,1472,GAM,6715,SVA,6724,,0,BE1 +8E,1472,GLV,7185,ELI,7184,,0,CNC +8E,1472,GLV,7185,WMO,7188,,0,PA2 +8E,1472,IAN,7179,ORV,7181,,0,CNC +8E,1472,IAN,7179,OTZ,3693,,0,CNC +8E,1472,KKA,7190,OME,3615,,0,CNC +8E,1472,KKA,7190,SKK,7192,,0,CNC +8E,1472,KTS,7183,OME,3615,,0,CNC +8E,1472,KTS,7183,WAA,7187,,0,CNC +8E,1472,KVL,6719,OTZ,3693,,0,CNC +8E,1472,KVL,6719,PHO,6721,,0,CNC +8E,1472,LUR,3413,OTZ,3693,,0,CNC +8E,1472,OBU,7180,ABL,7177,,0,CNC +8E,1472,OBU,7180,OTZ,3693,,0,CNC +8E,1472,OME,3615,ELI,7184,,0,PA2 +8E,1472,OME,3615,GAM,6715,,0,BE1 +8E,1472,OME,3615,KKA,7190,,0,CNC +8E,1472,OME,3615,OTZ,3693,,0,PA2 +8E,1472,OME,3615,SHH,6723,,0,BE1 +8E,1472,OME,3615,SVA,6724,,0,BE1 +8E,1472,OME,3615,TLA,7186,,0,CNC +8E,1472,OME,3615,TNC,7194,,0,CNC +8E,1472,OME,3615,UNK,7088,,0,PA2 +8E,1472,OME,3615,WBB,7193,,0,BE1 +8E,1472,OME,3615,WMO,7188,,0,CNC +8E,1472,ORV,7181,IAN,7179,,0,CNC +8E,1472,ORV,7181,OTZ,3693,,0,CNC +8E,1472,OTZ,3693,ABL,7177,,0,CNC +8E,1472,OTZ,3693,BKC,7178,,0,CNC +8E,1472,OTZ,3693,DRG,6755,,0,CNC +8E,1472,OTZ,3693,IAN,7179,,0,CNC +8E,1472,OTZ,3693,KVL,6719,,0,CNC +8E,1472,OTZ,3693,OME,3615,,0,PA2 +8E,1472,OTZ,3693,ORV,7181,,0,CNC +8E,1472,OTZ,3693,PHO,6721,,0,CNC +8E,1472,OTZ,3693,SHG,7117,,0,CNC +8E,1472,OTZ,3693,WLK,7182,,0,CNC +8E,1472,OTZ,3693,WTK,6725,,0,CNC +8E,1472,PHO,6721,LUR,3413,,0,CNC +8E,1472,PHO,6721,OTZ,3693,,0,CNC +8E,1472,SHG,7117,OBU,7180,,0,CNC +8E,1472,SHH,6723,OME,3615,,0,BE1 CNC +8E,1472,SKK,7192,KKA,7190,,0,CNC +8E,1472,SKK,7192,OME,3615,,0,CNC +8E,1472,SKK,7192,UNK,7088,,0,CNC +8E,1472,SMK,7191,UNK,7088,,0,BE1 +8E,1472,SMK,7191,WBB,7193,,0,CNC PA2 +8E,1472,SVA,6724,GAM,6715,,0,BE1 +8E,1472,SVA,6724,OME,3615,,0,BE1 +8E,1472,TLA,7186,KTS,7183,,0,CNC +8E,1472,TNC,7194,WAA,7187,,0,CNC +8E,1472,UNK,7088,OME,3615,,0,BE1 +8E,1472,UNK,7088,SKK,7192,,0,CNC +8E,1472,UNK,7088,SMK,7191,,0,CNC PA2 +8E,1472,WAA,7187,OME,3615,,0,CNC +8E,1472,WAA,7187,SHH,6723,,0,CNC +8E,1472,WBB,7193,OME,3615,,0,PA2 +8E,1472,WBB,7193,SMK,7191,,0,BE1 +8E,1472,WBB,7193,UNK,7088,,0,CNC +8E,1472,WLK,7182,OTZ,3693,,0,CNC +8E,1472,WMO,7188,GLV,7185,,0,CNC +8E,1472,WMO,7188,OME,3615,,0,PA2 +8E,1472,WTK,6725,KVL,6719,,0,CNC +8E,1472,WTK,6725,OTZ,3693,,0,CNC +8I,3534,AUA,2895,CCS,2851,,0,M82 +8I,3534,AUA,2895,MIA,3576,,0,M82 +8I,3534,AUA,2895,VLN,2868,,0,M82 +8I,3534,CCS,2851,AUA,2895,,0,M82 +8I,3534,MIA,3576,AUA,2895,,0,M82 +8I,3534,VLN,2868,AUA,2895,,0,M82 +8L,2942,BAV,6346,XIY,3379,,0,738 +8L,2942,CGO,3375,KMG,3382,,0,320 738 737 +8L,2942,CGO,3375,LJG,4033,,0,319 321 +8L,2942,CKG,3393,KMG,3382,,0,738 +8L,2942,CKG,3393,LJG,4033,,0,321 +8L,2942,CKG,3393,XUZ,4149,,0,738 +8L,2942,CSX,3371,FOC,3385,,0,738 +8L,2942,CSX,3371,KMG,3382,,0,738 +8L,2942,CSX,3371,LJG,4033,,0,321 319 +8L,2942,CSX,3371,NKG,3388,,0,321 +8L,2942,CTU,3395,JZH,4301,,0,737 +8L,2942,CTU,3395,KMG,3382,,0,321 737 +8L,2942,CTU,3395,TCZ,7862,,0,737 +8L,2942,CTU,3395,TSN,3368,,0,737 +8L,2942,DIG,6375,KMG,3382,,0,737 +8L,2942,DLC,3404,TSN,3368,,0,737 +8L,2942,DLC,3404,WUH,3376,,0,737 +8L,2942,DLU,4054,JHG,4055,,0,737 +8L,2942,DLU,4054,KMG,3382,,0,737 +8L,2942,FOC,3385,CSX,3371,,0,738 +8L,2942,FOC,3385,NNG,3373,,0,738 +8L,2942,HAK,4120,KMG,3382,,0,738 +8L,2942,HET,6345,TYN,3369,,0,321 +8L,2942,HFE,3389,KMG,3382,,0,738 +8L,2942,HFE,3389,LJG,4033,,0,319 +8L,2942,HFE,3389,PVG,3406,,0,319 +8L,2942,HGH,3386,KMG,3382,,0,737 +8L,2942,HGH,3386,KOW,6379,,0,321 +8L,2942,JHG,4055,DLU,4054,,0,737 +8L,2942,JHG,4055,KMG,3382,,0,737 +8L,2942,JHG,4055,LJG,4033,,0,737 +8L,2942,JZH,4301,CTU,3395,,0,737 +8L,2942,KMG,3382,CGO,3375,,0,320 738 737 +8L,2942,KMG,3382,CKG,3393,,0,738 +8L,2942,KMG,3382,CSX,3371,,0,738 +8L,2942,KMG,3382,CTU,3395,,0,321 737 +8L,2942,KMG,3382,DIG,6375,,0,737 +8L,2942,KMG,3382,DLU,4054,,0,737 +8L,2942,KMG,3382,HAK,4120,,0,738 +8L,2942,KMG,3382,HFE,3389,,0,738 +8L,2942,KMG,3382,HGH,3386,,0,737 +8L,2942,KMG,3382,JHG,4055,,0,737 +8L,2942,KMG,3382,KOW,6379,,0,321 +8L,2942,KMG,3382,KWE,3394,,0,737 321 +8L,2942,KMG,3382,KWL,3372,,0,738 +8L,2942,KMG,3382,LHW,6431,,0,737 +8L,2942,KMG,3382,LJG,4033,,0,319 321 +8L,2942,KMG,3382,LUM,6376,,0,737 +8L,2942,KMG,3382,NNG,3373,,0,738 +8L,2942,KMG,3382,PEK,3364,,0,738 737 321 +8L,2942,KMG,3382,PVG,3406,,0,738 +8L,2942,KMG,3382,SYM,6377,,0,737 +8L,2942,KMG,3382,SYX,4030,,0,321 737 +8L,2942,KMG,3382,TCZ,7862,,0,737 +8L,2942,KMG,3382,TNA,4108,,0,738 +8L,2942,KMG,3382,TYN,3369,,0,321 +8L,2942,KMG,3382,WUH,3376,,0,738 737 321 +8L,2942,KMG,3382,XIY,3379,,0,738 +8L,2942,KMG,3382,XNN,6366,,0,738 +8L,2942,KMG,3382,YIC,9107,,0,738 +8L,2942,KMG,3382,YIH,6361,,0,738 +8L,2942,KOW,6379,HGH,3386,,0,321 +8L,2942,KOW,6379,KMG,3382,,0,321 +8L,2942,KWE,3394,KMG,3382,,0,737 321 +8L,2942,KWE,3394,LJG,4033,,0,319 +8L,2942,KWE,3394,NKG,3388,,0,737 +8L,2942,KWE,3394,SIN,3316,,0,321 +8L,2942,KWE,3394,XUZ,4149,,0,319 +8L,2942,KWL,3372,KMG,3382,,0,738 +8L,2942,KWL,3372,XMN,3383,,0,738 +8L,2942,LHW,6431,KMG,3382,,0,737 +8L,2942,LHW,6431,URC,3399,,0,737 +8L,2942,LJG,4033,CGO,3375,,0,319 321 +8L,2942,LJG,4033,CKG,3393,,0,321 +8L,2942,LJG,4033,CSX,3371,,0,321 319 +8L,2942,LJG,4033,HFE,3389,,0,319 +8L,2942,LJG,4033,JHG,4055,,0,737 +8L,2942,LJG,4033,KMG,3382,,0,321 319 +8L,2942,LJG,4033,KWE,3394,,0,319 +8L,2942,LJG,4033,NGB,3387,,0,319 +8L,2942,LJG,4033,NKG,3388,,0,319 +8L,2942,LJG,4033,SZX,3374,,0,321 +8L,2942,LJG,4033,TYN,3369,,0,319 +8L,2942,LJG,4033,WUH,3376,,0,321 +8L,2942,LJG,4033,XIY,3379,,0,321 +8L,2942,LUM,6376,KMG,3382,,0,737 +8L,2942,LUM,6376,PEK,3364,,0,737 +8L,2942,NGB,3387,LJG,4033,,0,319 +8L,2942,NGB,3387,YIH,6361,,0,738 +8L,2942,NKG,3388,CSX,3371,,0,321 +8L,2942,NKG,3388,KWE,3394,,0,737 +8L,2942,NKG,3388,LJG,4033,,0,319 +8L,2942,NNG,3373,FOC,3385,,0,738 +8L,2942,NNG,3373,KMG,3382,,0,738 +8L,2942,PEK,3364,KMG,3382,,0,738 737 +8L,2942,PEK,3364,LUM,6376,,0,737 +8L,2942,PVG,3406,HFE,3389,,0,319 +8L,2942,PVG,3406,KMG,3382,,0,738 +8L,2942,SHA,3391,YIC,9107,,0,738 +8L,2942,SIN,3316,KWE,3394,,0,321 +8L,2942,SYM,6377,KMG,3382,,0,737 +8L,2942,SYX,4030,KMG,3382,,0,738 737 +8L,2942,SZX,3374,LJG,4033,,0,321 +8L,2942,TAO,3390,WUH,3376,,0,320 +8L,2942,TCZ,7862,CTU,3395,,0,737 +8L,2942,TCZ,7862,KMG,3382,,0,737 +8L,2942,TNA,4108,KMG,3382,,0,738 +8L,2942,TSN,3368,CTU,3395,,0,737 +8L,2942,TSN,3368,DLC,3404,,0,737 +8L,2942,TYN,3369,HET,6345,,0,321 +8L,2942,TYN,3369,KMG,3382,,0,321 +8L,2942,TYN,3369,LJG,4033,,0,319 +8L,2942,URC,3399,LHW,6431,,0,737 +8L,2942,URC,3399,XNN,6366,,0,738 +8L,2942,WUH,3376,DLC,3404,,0,737 +8L,2942,WUH,3376,KMG,3382,,0,738 737 320 +8L,2942,WUH,3376,LJG,4033,,0,321 +8L,2942,WUH,3376,TAO,3390,,0,321 +8L,2942,XIY,3379,BAV,6346,,0,738 +8L,2942,XIY,3379,KMG,3382,,0,738 +8L,2942,XIY,3379,LJG,4033,,0,321 +8L,2942,XMN,3383,KWL,3372,,0,738 +8L,2942,XNN,6366,KMG,3382,,0,738 +8L,2942,XNN,6366,URC,3399,,0,738 +8L,2942,XUZ,4149,CKG,3393,,0,738 +8L,2942,XUZ,4149,KWE,3394,,0,319 +8L,2942,YIC,9107,KMG,3382,,0,738 +8L,2942,YIC,9107,SHA,3391,,0,738 +8L,2942,YIH,6361,KMG,3382,,0,738 +8L,2942,YIH,6361,NGB,3387,,0,738 +8M,3432,BKK,3885,RGN,3239,,0,320 +8M,3432,CAN,3370,RGN,3239,,0,320 +8M,3432,ICN,3930,RGN,3239,,0,737 767 +8M,3432,KUL,3304,RGN,3239,,0,320 +8M,3432,PNH,3034,RGN,3239,,0,319 +8M,3432,RGN,3239,BKK,3885,,0,320 +8M,3432,RGN,3239,CAN,3370,,0,320 +8M,3432,RGN,3239,ICN,3930,,0,737 767 +8M,3432,RGN,3239,KUL,3304,,0,320 +8M,3432,RGN,3239,PNH,3034,,0,319 +8M,3432,RGN,3239,SIN,3316,,0,320 +8M,3432,SIN,3316,RGN,3239,,0,320 +8P,3856,QBC,6738,YAA,5457,,0,BE1 +8P,3856,QBC,6738,YVR,156,,0,BE1 +8P,3856,YAA,5457,YVR,156,,0,BE1 +8P,3856,YBL,30,YQQ,119,,0,SF3 BE1 +8P,3856,YBL,30,YVR,156,,0,BE1 +8P,3856,YBL,30,ZEL,7275,,0,BE1 +8P,3856,YKT,\N,ZEL,7275,,0,DHP +8P,3856,YLW,87,YXC,164,,0,BE1 +8P,3856,YPW,5523,YVR,156,,0,BE1 SF3 +8P,3856,YQQ,119,YBL,30,,0,BE1 SF3 +8P,3856,YQQ,119,YVR,156,,0,SF3 BE1 +8P,3856,YVR,156,QBC,6738,,0,BE1 +8P,3856,YVR,156,YBL,30,,0,BE1 +8P,3856,YVR,156,YPW,5523,,0,BE1 SF3 +8P,3856,YVR,156,YQQ,119,,0,BE1 SF3 +8P,3856,YVR,156,YWL,162,,0,BE1 +8P,3856,YVR,156,YXC,164,,0,BE1 +8P,3856,YVR,156,YYJ,184,,0,BE1 +8P,3856,YVR,156,YZT,200,,0,SF3 BE1 +8P,3856,YVR,156,YZZ,8223,,0,SF3 BE1 +8P,3856,YVR,156,ZMT,5545,,0,SF3 +8P,3856,YWL,162,YVR,156,,0,BE1 +8P,3856,YXC,164,YLW,87,,0,BE1 +8P,3856,YXC,164,YVR,156,,0,BE1 +8P,3856,YYJ,184,YVR,156,,0,BE1 +8P,3856,YZT,200,YVR,156,,0,SF3 BE1 +8P,3856,YZT,200,ZEL,7275,,0,SF3 +8P,3856,YZZ,8223,YVR,156,,0,SF3 BE1 +8P,3856,ZEL,7275,YBL,30,,0,BE1 +8P,3856,ZEL,7275,YKT,\N,,0,DHP +8P,3856,ZEL,7275,YZT,200,,0,SF3 +8P,3856,ZMT,5545,YVR,156,,0,SF3 +8Q,3788,ADA,1685,IST,1701,,0,320 +8Q,3788,ADB,1706,IST,1701,,0,320 +8Q,3788,AYT,1688,IST,1701,,0,320 +8Q,3788,AYT,1688,KZN,2990,,0,321 +8Q,3788,AYT,1688,SVO,2985,,0,321 +8Q,3788,BJV,4315,IST,1701,,0,320 +8Q,3788,CDG,1382,IST,1701,,0,320 +8Q,3788,DIY,1722,IST,1701,,0,320 +8Q,3788,DLM,1715,IST,1701,,0,320 +8Q,3788,ECN,5780,IST,1701,,0,320 +8Q,3788,ERZ,1724,IST,1701,,0,320 +8Q,3788,EZS,1721,IST,1701,,0,320 +8Q,3788,GNY,9044,IST,1701,,0,320 +8Q,3788,GZP,8266,IST,1701,,0,320 +8Q,3788,GZT,1689,IST,1701,,0,320 +8Q,3788,IST,1701,ADA,1685,,0,320 +8Q,3788,IST,1701,ADB,1706,,0,320 +8Q,3788,IST,1701,AYT,1688,,0,320 +8Q,3788,IST,1701,BJV,4315,,0,320 +8Q,3788,IST,1701,CDG,1382,,0,320 +8Q,3788,IST,1701,DIY,1722,,0,320 +8Q,3788,IST,1701,DLM,1715,,0,320 +8Q,3788,IST,1701,ECN,5780,,0,320 +8Q,3788,IST,1701,ERZ,1724,,0,320 +8Q,3788,IST,1701,EZS,1721,,0,320 +8Q,3788,IST,1701,GNY,9044,,0,320 +8Q,3788,IST,1701,GZP,8266,,0,320 +8Q,3788,IST,1701,GZT,1689,,0,320 +8Q,3788,IST,1701,MLX,1695,,0,320 +8Q,3788,IST,1701,ODS,2947,,0,320 +8Q,3788,IST,1701,TZX,1726,,0,320 +8Q,3788,KZN,2990,AYT,1688,,0,321 +8Q,3788,MLX,1695,IST,1701,,0,320 +8Q,3788,ODS,2947,IST,1701,,0,320 +8Q,3788,SVO,2985,AYT,1688,,0,321 +8Q,3788,TZX,1726,IST,1701,,0,320 +8R,5188,AEP,2442,MDQ,2508,,0,SF3 +8R,5188,AEP,2442,PRA,2439,,0,SF3 +8R,5188,AEP,2442,ROS,2440,,0,SF3 +8R,5188,AEP,2442,SFN,2441,,0,SF3 +8R,5188,BHI,2501,MDQ,2508,,0,SF3 +8R,5188,BHI,2501,REL,2490,,0,SF3 +8R,5188,BRC,2513,CRD,2487,,0,SF3 +8R,5188,BRC,2513,EQS,2488,,0,SF3 +8R,5188,COR,2443,MDZ,2452,,0,SF3 +8R,5188,COR,2443,ROS,2440,,0,SF3 +8R,5188,CRD,2487,NQN,2509,,0,SF3 +8R,5188,CRD,2487,REL,2490,,0,SF3 +8R,5188,CRD,2487,RGL,2496,,0,SF3 +8R,5188,EQS,2488,BRC,2513,,0,SF3 +8R,5188,EQS,2488,CRD,2487,,0,SF3 +8R,5188,MDQ,2508,AEP,2442,,0,SF3 +8R,5188,MDQ,2508,BHI,2501,,0,SF3 +8R,5188,MDZ,2452,COR,2443,,0,SF3 +8R,5188,MDZ,2452,NQN,2509,,0,SF3 +8R,5188,NQN,2509,CRD,2487,,0,SF3 +8R,5188,NQN,2509,MDZ,2452,,0,SF3 +8R,5188,PDP,6777,ROS,2440,,0,SF3 +8R,5188,PRA,2439,AEP,2442,,0,SF3 +8R,5188,REL,2490,BHI,2501,,0,SF3 +8R,5188,REL,2490,BRC,2513,,0,SF3 +8R,5188,REL,2490,CRD,2487,,0,SF3 +8R,5188,REL,2490,EQS,2488,,0,SF3 +8R,5188,RGA,2495,RGL,2496,,0,SF3 +8R,5188,RGL,2496,CRD,2487,,0,SF3 +8R,5188,RGL,2496,RGA,2495,,0,SF3 +8R,5188,RGL,2496,USH,2497,,0,SF3 +8R,5188,ROS,2440,AEP,2442,,0,SF3 +8R,5188,ROS,2440,COR,2443,,0,SF3 +8R,5188,ROS,2440,PDP,6777,,0,SF3 +8R,5188,SFN,2441,AEP,2442,,0,SF3 +8T,68,YFJ,\N,YZF,196,,0,DHT +8T,68,YFS,60,YZF,196,,0,DHT +8T,68,YLE,5463,YZF,196,,0,DHT +8T,68,YRA,5526,YZF,196,,0,DHT +8T,68,YSG,5511,YZF,196,,0,DHT +8T,68,YZF,196,YFJ,\N,,0,DHT +8T,68,YZF,196,YFS,60,,0,DHT +8T,68,YZF,196,YLE,5463,,0,DHT +8T,68,YZF,196,YRA,5526,,0,DHT +8T,68,YZF,196,YSG,5511,,0,DHT +8U,32,AKF,1153,BEN,1154,,0,320 +8U,32,AMM,2170,BEN,1154,,0,320 +8U,32,AMM,2170,TIP,1157,,0,332 320 +8U,32,BEN,1154,AKF,1153,,0,320 +8U,32,BEN,1154,AMM,2170,,0,320 +8U,32,BEN,1154,CAI,1128,,0,320 +8U,32,BEN,1154,CMN,1074,,0,320 +8U,32,BEN,1154,IST,1701,,0,320 +8U,32,BEN,1154,JED,2072,,0,320 +8U,32,BEN,1154,MRA,5804,,0,320 +8U,32,BEN,1154,TIP,1157,,0,320 319 332 +8U,32,BEN,1154,TUN,287,,0,319 320 +8U,32,CAI,1128,BEN,1154,,0,320 +8U,32,CAI,1128,TIP,1157,,0,320 332 +8U,32,CMN,1074,BEN,1154,,0,320 +8U,32,CMN,1074,TIP,1157,,0,320 319 332 +8U,32,DXB,2188,TIP,1157,,0,332 +8U,32,FCO,1555,TIP,1157,,0,320 +8U,32,HBE,3410,TIP,1157,,0,320 319 +8U,32,IST,1701,BEN,1154,,0,320 +8U,32,IST,1701,MRA,5804,,0,320 +8U,32,IST,1701,TIP,1157,,0,332 319 +8U,32,JED,2072,BEN,1154,,0,320 +8U,32,JED,2072,TIP,1157,,0,332 +8U,32,MRA,5804,BEN,1154,,0,320 +8U,32,MRA,5804,IST,1701,,0,320 +8U,32,MRA,5804,SFA,295,,0,320 319 +8U,32,MRA,5804,TUN,287,,0,319 320 +8U,32,SFA,295,MRA,5804,,0,319 +8U,32,SFA,295,TIP,1157,,0,320 319 +8U,32,TIP,1157,AMM,2170,,0,332 320 +8U,32,TIP,1157,BEN,1154,,0,320 319 332 +8U,32,TIP,1157,CAI,1128,,0,320 332 +8U,32,TIP,1157,CMN,1074,,0,320 319 332 +8U,32,TIP,1157,FCO,1555,,0,320 +8U,32,TIP,1157,HBE,3410,,0,320 319 +8U,32,TIP,1157,IST,1701,,0,332 319 +8U,32,TIP,1157,JED,2072,,0,332 +8U,32,TIP,1157,SFA,295,,0,320 319 +8U,32,TIP,1157,TOB,5697,,0,320 +8U,32,TIP,1157,TUN,287,,0,319 320 +8U,32,TUN,287,BEN,1154,,0,319 320 +8U,32,TUN,287,MRA,5804,,0,319 320 +8U,32,TUN,287,TIP,1157,,0,319 320 +8V,55,AET,6839,BTT,3417,,0,CNC +8V,55,AET,6839,FAI,3832,,0,CNC +8V,55,AET,6839,HUS,7107,,0,CNC +8V,55,AKP,6712,BTT,3417,,0,CNC +8V,55,AKP,6712,FAI,3832,,0,PAG +8V,55,ARC,6729,VEE,7114,,0,CNC +8V,55,BTT,3417,AET,6839,,0,CNC +8V,55,BTT,3417,AKP,6712,,0,CNC +8V,55,BTT,3417,FAI,3832,,0,CNC +8V,55,FAI,3832,AET,6839,,0,CNC +8V,55,FAI,3832,AKP,6712,,0,PAG +8V,55,FAI,3832,BTT,3417,,0,CNC +8V,55,FAI,3832,FYU,3420,,0,CNC +8V,55,FAI,3832,GAL,3764,,0,CNC +8V,55,FAI,3832,KBC,7118,,0,CNC +8V,55,FAI,3832,LMA,\N,,0,PAG +8V,55,FAI,3832,RBY,6722,,0,CNC +8V,55,FAI,3832,TAL,7113,,0,CNC +8V,55,FYU,3420,FAI,3832,,0,CNC +8V,55,FYU,3420,VEE,7114,,0,CNC +8V,55,GAL,3764,KAL,6717,,0,CNC +8V,55,GAL,3764,NUL,7111,,0,CNC +8V,55,HSL,7108,HUS,7107,,0,CNC +8V,55,HSL,7108,RBY,6722,,0,CNC +8V,55,HSL,7108,TAL,7113,,0,CNC +8V,55,HUS,7107,FAI,3832,,0,CNC +8V,55,HUS,7107,TAL,7113,,0,CNC +8V,55,KAL,6717,HSL,7108,,0,CNC +8V,55,KBC,7118,FYU,3420,,0,CNC +8V,55,KYU,7208,FAI,3832,,0,CNC +8V,55,LMA,\N,FAI,3832,,0,PAG +8V,55,NUL,7111,KYU,7208,,0,CNC +8V,55,RBY,6722,FAI,3832,,0,CNC +8V,55,RBY,6722,TAL,7113,,0,CNC +8V,55,TAL,7113,FAI,3832,,0,CNC +8V,55,TAL,7113,HSL,7108,,0,CNC +8V,55,TAL,7113,RBY,6722,,0,CNC +8V,55,VEE,7114,ARC,6729,,0,CNC +8V,55,VEE,7114,FYU,3420,,0,CNC +9C,15999,BKI,3269,PVG,3406,,0,320 +9C,15999,BKK,3885,PVG,3406,,0,320 +9C,15999,CAN,3370,SHA,3391,,0,320 +9C,15999,CAN,3370,SJW,6347,,0,320 +9C,15999,CGD,6352,KMG,3382,,0,320 +9C,15999,CGD,6352,SHA,3391,,0,320 +9C,15999,CGQ,4380,PVG,3406,,0,320 +9C,15999,CJU,2370,PVG,3406,,0,320 +9C,15999,CKG,3393,LYA,4148,,0,320 +9C,15999,CKG,3393,PVG,3406,,0,320 +9C,15999,CKG,3393,SHA,3391,,0,320 +9C,15999,CKG,3393,SJW,6347,,0,320 +9C,15999,CNX,3931,PVG,3406,,0,320 +9C,15999,CSX,3371,SHA,3391,,0,320 +9C,15999,CTU,3395,SHA,3391,,0,320 +9C,15999,CTU,3395,SJW,6347,,0,320 +9C,15999,DLC,3404,HGH,3386,,0,320 +9C,15999,DLC,3404,PVG,3406,,0,320 +9C,15999,DLC,3404,SJW,6347,,0,320 +9C,15999,DYG,6353,PVG,3406,,0,320 +9C,15999,HET,6345,SJW,6347,,0,320 +9C,15999,HGH,3386,DLC,3404,,0,320 +9C,15999,HGH,3386,KWL,3372,,0,320 +9C,15999,HGH,3386,SHE,4144,,0,320 +9C,15999,HGH,3386,SJW,6347,,0,320 +9C,15999,HGH,3386,SYX,4030,,0,320 +9C,15999,HGH,3386,SZX,3374,,0,320 +9C,15999,HIA,7898,HRB,3400,,0,320 +9C,15999,HIA,7898,SZX,3374,,0,320 +9C,15999,HKG,3077,PVG,3406,,0,320 +9C,15999,HKT,3179,PVG,3406,,0,320 +9C,15999,HRB,3400,HIA,7898,,0,320 +9C,15999,HRB,3400,PVG,3406,,0,320 +9C,15999,HSG,5996,PVG,3406,,0,320 +9C,15999,IBR,2281,PVG,3406,,0,320 +9C,15999,JIQ,8781,KMG,3382,,0,320 +9C,15999,JIQ,8781,SHA,3391,,0,320 +9C,15999,JJN,6386,SHA,3391,,0,320 +9C,15999,KHH,2264,PVG,3406,,0,320 +9C,15999,KIX,3992,PVG,3406,,0,320 +9C,15999,KMG,3382,CGD,6352,,0,320 +9C,15999,KMG,3382,JIQ,8781,,0,320 +9C,15999,KMG,3382,MIG,6400,,0,320 +9C,15999,KMG,3382,PVG,3406,,0,320 +9C,15999,KMG,3382,SHA,3391,,0,320 +9C,15999,KMG,3382,SJW,6347,,0,320 +9C,15999,KMG,3382,ZYI,\N,,0,320 +9C,15999,KWE,3394,SHA,3391,,0,320 +9C,15999,KWL,3372,HGH,3386,,0,320 +9C,15999,KWL,3372,PVG,3406,,0,320 +9C,15999,KWL,3372,SJW,6347,,0,320 +9C,15999,LHW,6431,PVG,3406,,0,320 +9C,15999,LYA,4148,CKG,3393,,0,320 +9C,15999,LYA,4148,SHE,4144,,0,320 +9C,15999,MFM,3121,PVG,3406,,0,320 +9C,15999,MIG,6400,KMG,3382,,0,320 +9C,15999,MIG,6400,SHA,3391,,0,320 +9C,15999,MIG,6400,SHE,4144,,0,320 +9C,15999,NKG,3388,SHE,4144,,0,320 +9C,15999,NNG,3373,SHA,3391,,0,320 +9C,15999,PVG,3406,BKI,3269,,0,320 +9C,15999,PVG,3406,BKK,3885,,0,320 +9C,15999,PVG,3406,CGQ,4380,,0,320 +9C,15999,PVG,3406,CJU,2370,,0,320 +9C,15999,PVG,3406,CKG,3393,,0,320 +9C,15999,PVG,3406,CNX,3931,,0,320 +9C,15999,PVG,3406,DLC,3404,,0,320 +9C,15999,PVG,3406,DYG,6353,,0,320 +9C,15999,PVG,3406,HKG,3077,,0,320 +9C,15999,PVG,3406,HKT,3179,,0,320 +9C,15999,PVG,3406,HRB,3400,,0,320 +9C,15999,PVG,3406,IBR,2281,,0,320 +9C,15999,PVG,3406,KHH,2264,,0,320 +9C,15999,PVG,3406,KIX,3992,,0,320 +9C,15999,PVG,3406,KWL,3372,,0,320 +9C,15999,PVG,3406,MFM,3121,,0,320 +9C,15999,PVG,3406,NNG,3373,,0,320 +9C,15999,PVG,3406,REP,3035,,0,320 +9C,15999,PVG,3406,SHE,4144,,0,320 +9C,15999,PVG,3406,SIN,3316,,0,320 +9C,15999,PVG,3406,SYX,4030,,0,320 +9C,15999,PVG,3406,TAK,2337,,0,320 +9C,15999,PVG,3406,TAO,3390,,0,320 +9C,15999,PVG,3406,TPE,2276,,0,320 +9C,15999,PVG,3406,XMN,3383,,0,320 +9C,15999,PVG,3406,ZHA,6357,,0,320 +9C,15999,REP,3035,PVG,3406,,0,320 +9C,15999,SHA,3391,CAN,3370,,0,320 +9C,15999,SHA,3391,CGD,6352,,0,320 +9C,15999,SHA,3391,CKG,3393,,0,320 +9C,15999,SHA,3391,CSX,3371,,0,320 +9C,15999,SHA,3391,CTU,3395,,0,320 +9C,15999,SHA,3391,JIQ,8781,,0,320 +9C,15999,SHA,3391,JJN,6386,,0,320 +9C,15999,SHA,3391,KMG,3382,,0,320 +9C,15999,SHA,3391,KWE,3394,,0,320 +9C,15999,SHA,3391,LHW,6431,,0,320 +9C,15999,SHA,3391,SJW,6347,,0,320 +9C,15999,SHA,3391,SWA,4302,,0,320 +9C,15999,SHA,3391,SYX,4030,,0,320 +9C,15999,SHA,3391,SZX,3374,,0,320 +9C,15999,SHA,3391,TAO,3390,,0,320 +9C,15999,SHA,3391,URC,3399,,0,320 +9C,15999,SHA,3391,XIY,3379,,0,320 +9C,15999,SHA,3391,XMN,3383,,0,320 +9C,15999,SHA,3391,ZUH,6355,,0,320 +9C,15999,SHA,3391,ZYI,\N,,0,320 +9C,15999,SHE,4144,HGH,3386,,0,320 +9C,15999,SHE,4144,LYA,4148,,0,320 +9C,15999,SHE,4144,MIG,6400,,0,320 +9C,15999,SHE,4144,NKG,3388,,0,320 +9C,15999,SHE,4144,PVG,3406,,0,320 +9C,15999,SHE,4144,SJW,6347,,0,320 +9C,15999,SHE,4144,SZX,3374,,0,320 +9C,15999,SHE,4144,XIY,3379,,0,320 +9C,15999,SIN,3316,PVG,3406,,0,320 +9C,15999,SJW,6347,CAN,3370,,0,320 +9C,15999,SJW,6347,CKG,3393,,0,320 +9C,15999,SJW,6347,CTU,3395,,0,320 +9C,15999,SJW,6347,DLC,3404,,0,320 +9C,15999,SJW,6347,HET,6345,,0,320 +9C,15999,SJW,6347,HGH,3386,,0,320 +9C,15999,SJW,6347,KMG,3382,,0,320 +9C,15999,SJW,6347,KWL,3372,,0,320 +9C,15999,SJW,6347,SHA,3391,,0,320 +9C,15999,SJW,6347,SHE,4144,,0,320 +9C,15999,SJW,6347,SZX,3374,,0,320 +9C,15999,SJW,6347,TPE,2276,,0,320 +9C,15999,SJW,6347,XMN,3383,,0,320 +9C,15999,SWA,4302,SHA,3391,,0,320 +9C,15999,SYX,4030,HGH,3386,,0,320 +9C,15999,SYX,4030,PVG,3406,,0,320 +9C,15999,SYX,4030,SHA,3391,,0,320 +9C,15999,SZX,3374,HGH,3386,,0,320 +9C,15999,SZX,3374,HIA,7898,,0,320 +9C,15999,SZX,3374,SHA,3391,,0,320 +9C,15999,SZX,3374,SHE,4144,,0,320 +9C,15999,SZX,3374,SJW,6347,,0,320 +9C,15999,TAK,2337,PVG,3406,,0,320 +9C,15999,TAO,3390,SHA,3391,,0,320 +9C,15999,TPE,2276,PVG,3406,,0,320 +9C,15999,TPE,2276,SJW,6347,,0,320 +9C,15999,URC,3399,SHA,3391,,0,320 +9C,15999,URC,3399,XIY,3379,,0,320 +9C,15999,XIY,3379,SHA,3391,,0,320 +9C,15999,XIY,3379,SHE,4144,,0,320 +9C,15999,XIY,3379,URC,3399,,0,320 +9C,15999,XMN,3383,PVG,3406,,0,320 +9C,15999,XMN,3383,SHA,3391,,0,320 +9C,15999,XMN,3383,SJW,6347,,0,320 +9C,15999,ZHA,6357,PVG,3406,,0,320 +9C,15999,ZUH,6355,PVG,3406,,0,320 +9C,15999,ZUH,6355,SHA,3391,,0,320 +9C,15999,ZYI,\N,KMG,3382,,0,320 +9C,15999,ZYI,\N,SHA,3391,,0,320 +9D,\N,JED,2072,NDJ,999,,0,737 747 +9E,3976,ATL,3682,AZO,4039,,0,CRJ +9E,3976,ATL,3682,CHA,3578,,0,CRJ +9E,3976,ATL,3682,CID,4043,,0,CRJ +9E,3976,ATL,3682,CRW,4285,,0,CRJ +9E,3976,ATL,3682,CVG,3488,,0,CR9 +9E,3976,ATL,3682,EVV,4018,,0,CRJ +9E,3976,ATL,3682,FWA,4041,,0,CRJ +9E,3976,ATL,3682,GSO,4008,,0,CR9 +9E,3976,ATL,3682,GSP,4034,,0,CRJ +9E,3976,ATL,3682,LAN,3544,,0,CRJ +9E,3976,ATL,3682,LEX,4017,,0,CRJ +9E,3976,ATL,3682,MBS,4128,,0,CRJ +9E,3976,ATL,3682,MSP,3858,,0, +9E,3976,ATL,3682,ROA,4016,,0,CRJ +9E,3976,ATL,3682,SYR,3745,,0,CR9 +9E,3976,ATL,3682,TYS,3676,,0,CRJ CR9 +9E,3976,ATL,3682,XNA,4356,,0,CRJ +9E,3976,AZO,4039,ATL,3682,,0,CRJ +9E,3976,CHA,3578,ATL,3682,,0,CRJ +9E,3976,CRW,4285,ATL,3682,,0,CRJ +9E,3976,CVG,3488,ATL,3682,,0,CR9 +9E,3976,DTW,3645,MSY,3861,,0,CR9 +9E,3976,EVV,4018,ATL,3682,,0,CRJ +9E,3976,FWA,4041,ATL,3682,,0,CRJ +9E,3976,GFK,3442,TVF,7018,,0, +9E,3976,GSO,4008,ATL,3682,,0,CR9 +9E,3976,GSP,4034,ATL,3682,,0,CRJ +9E,3976,JFK,3797,MSY,3861,,0,CR9 +9E,3976,LAN,3544,ATL,3682,,0,CRJ +9E,3976,LEX,4017,ATL,3682,,0,CRJ +9E,3976,LGA,3697,MSY,3861,,0,CR9 +9E,3976,MBS,4128,ATL,3682,,0,CRJ +9E,3976,MDT,3542,ATL,3682,,0,CRJ +9E,3976,MEM,3473,MSY,3861,,0,CRJ +9E,3976,MSP,3858,ATL,3682,,0, +9E,3976,MSP,3858,MSY,3861,,0,CR9 +9E,3976,MSY,3861,DTW,3645,,0,CR9 +9E,3976,MSY,3861,JFK,3797,,0,CR9 +9E,3976,MSY,3861,LGA,3697,,0,CR9 +9E,3976,MSY,3861,MEM,3473,,0,CRJ +9E,3976,MSY,3861,MSP,3858,,0,CR9 +9E,3976,ROA,4016,ATL,3682,,0,CRJ +9E,3976,SYR,3745,ATL,3682,,0,CR9 +9E,3976,TVF,7018,GFK,3442,,0, +9E,3976,TYS,3676,ATL,3682,,0,CRJ CR9 +9E,3976,XNA,4356,ATL,3682,,0,CRJ +9K,1629,ACK,3517,BOS,3448,,0,CNA +9K,1629,ACK,3517,EWB,5737,,0,CNA +9K,1629,ACK,3517,HYA,4278,Y,0,CNA +9K,1629,ACK,3517,MVY,4265,,0,CNA +9K,1629,ALB,3864,BOS,3448,,0,CNA +9K,1629,ALB,3864,MSS,3546,,0,CNA +9K,1629,ALB,3864,OGS,3724,,0,CNA +9K,1629,AUG,3701,BOS,3448,,0,CNA +9K,1629,AXA,2900,SJU,2890,,0,CNA +9K,1629,BHB,4025,BOS,3448,,0,CNA +9K,1629,BIL,4021,GDV,7070,,0,CNA +9K,1629,BIL,4021,GGW,5739,,0,CNA +9K,1629,BIL,4021,HVR,3604,,0,CNA +9K,1629,BIL,4021,OLF,7071,,0,CNA +9K,1629,BIL,4021,SDY,7065,,0,CNA +9K,1629,BOS,3448,ACK,3517,,0,CNA +9K,1629,BOS,3448,ALB,3864,,0,CNA +9K,1629,BOS,3448,AUG,3701,,0,CNA +9K,1629,BOS,3448,BHB,4025,,0,CNA +9K,1629,BOS,3448,HYA,4278,,0,CNA +9K,1629,BOS,3448,LEB,5749,,0,CNA +9K,1629,BOS,3448,MVY,4265,,0,CNA +9K,1629,BOS,3448,PVC,6456,,0,CNA +9K,1629,BOS,3448,RKD,4026,,0,CNA +9K,1629,BOS,3448,RUT,5767,,0,CNA +9K,1629,BOS,3448,SLK,5770,,0,CNA +9K,1629,CGI,5728,STL,3678,,0,CNA +9K,1629,CPX,6814,SJU,2890,,0,BNI +9K,1629,EIS,2903,SJU,2890,,0,CNA +9K,1629,EIS,2903,STT,2883,,0,CNA +9K,1629,EWB,5737,ACK,3517,,0,CNA +9K,1629,EWB,5737,HPN,3589,,0,CNA +9K,1629,EWB,5737,MVY,4265,,0,CNA +9K,1629,GDV,7070,BIL,4021,,0,CNA +9K,1629,GGW,5739,BIL,4021,,0,CNA +9K,1629,HPN,3589,HYA,4278,,0,CNA +9K,1629,HPN,3589,LEB,5749,,0,CNA +9K,1629,HPN,3589,MVY,4265,,0,CNA +9K,1629,HVR,3604,BIL,4021,,0,CNA +9K,1629,HYA,4278,ACK,3517,Y,0,CNA +9K,1629,HYA,4278,BOS,3448,,0,CNA +9K,1629,IRK,5744,STL,3678,,0,CNA +9K,1629,LEB,5749,BOS,3448,,0,CNA +9K,1629,LEB,5749,HPN,3589,,0,CNA +9K,1629,MAZ,2888,SJU,2890,,0,CNA +9K,1629,MSS,3546,ALB,3864,,0,CNA +9K,1629,MVY,4265,ACK,3517,,0,CNA +9K,1629,MVY,4265,BOS,3448,,0,CNA +9K,1629,MVY,4265,EWB,5737,,0,CNA +9K,1629,MVY,4265,HPN,3589,,0,CNA +9K,1629,MWA,6825,STL,3678,,0,CNA +9K,1629,NEV,6079,SJU,2890,,0,CNA +9K,1629,OGS,3724,ALB,3864,,0,CNA +9K,1629,OLF,7071,BIL,4021,,0,CNA +9K,1629,OWB,5758,STL,3678,,0,CNA +9K,1629,PVC,6456,BOS,3448,,0,CNA +9K,1629,RKD,4026,BOS,3448,,0,CNA +9K,1629,RUT,5767,BOS,3448,,0,CNA +9K,1629,SDY,7065,BIL,4021,,0,CNA +9K,1629,SJU,2890,AXA,2900,,0,CNA +9K,1629,SJU,2890,CPX,6814,,0,BNI +9K,1629,SJU,2890,EIS,2903,,0,CNA +9K,1629,SJU,2890,MAZ,2888,,0,CNA +9K,1629,SJU,2890,NEV,6079,,0,CNA +9K,1629,SJU,2890,STT,2883,,0,CNA +9K,1629,SJU,2890,STX,2884,,0,CNA +9K,1629,SJU,2890,VIJ,6080,,0,BNI +9K,1629,SJU,2890,VQS,6788,,0,CNA +9K,1629,SLK,5770,BOS,3448,,0,CNA +9K,1629,STL,3678,CGI,5728,,0,CNA +9K,1629,STL,3678,IRK,5744,,0,CNA +9K,1629,STL,3678,MWA,6825,,0,CNA +9K,1629,STL,3678,OWB,5758,,0,CNA +9K,1629,STL,3678,TBN,3665,,0,CNA +9K,1629,STL,3678,UIN,5774,,0,CNA +9K,1629,STT,2883,EIS,2903,,0,CNA +9K,1629,STT,2883,SJU,2890,,0,CNA +9K,1629,STT,2883,STX,2884,,0,CNA +9K,1629,STX,2884,SJU,2890,,0,CNA +9K,1629,STX,2884,STT,2883,,0,CNA +9K,1629,STX,2884,VQS,6788,,0,CNA +9K,1629,TBN,3665,STL,3678,,0,CNA +9K,1629,UIN,5774,STL,3678,,0,CNA +9K,1629,VIJ,6080,SJU,2890,,0,BNI +9K,1629,VQS,6788,SJU,2890,,0,CNA +9K,1629,VQS,6788,STX,2884,,0,CNA +9M,\N,YBL,30,YQQ,119,,0,BEH +9M,\N,YBL,30,YVR,156,,0,BEH +9M,\N,YDQ,48,YVR,156,,0,DH1 +9M,\N,YDQ,48,YYE,180,,0,DH1 +9M,\N,YEG,49,YOJ,99,,0,BEH +9M,\N,YEG,49,YOP,7266,,0,BEH +9M,\N,YEG,49,YXJ,168,,0,D38 DH3 +9M,\N,YEG,49,YYC,178,,0,BEH D38 DH3 +9M,\N,YKA,78,YVR,156,,0,BEH +9M,\N,YKA,78,YXS,172,,0,BEH +9M,\N,YLL,85,YYC,178,,0,BEH +9M,\N,YLW,87,YXS,172,,0,BEH +9M,\N,YOJ,99,YEG,49,,0,BEH +9M,\N,YOJ,99,YOP,7266,,0,BEH +9M,\N,YOP,7266,YEG,49,,0,BEH +9M,\N,YOP,7266,YOJ,99,,0,BEH +9M,\N,YQQ,119,YBL,30,,0,BEH +9M,\N,YQQ,119,YVR,156,,0,BEH +9M,\N,YQZ,127,YVR,156,,0,BEH +9M,\N,YQZ,127,YWL,162,,0,BEH +9M,\N,YVR,156,YBL,30,,0,BEH +9M,\N,YVR,156,YDQ,48,,0,DH1 +9M,\N,YVR,156,YKA,78,,0,BEH +9M,\N,YVR,156,YQQ,119,,0,BEH +9M,\N,YVR,156,YQZ,127,,0,BEH +9M,\N,YVR,156,YWL,162,,0,BEH +9M,\N,YWL,162,YQZ,127,,0,BEH +9M,\N,YWL,162,YVR,156,,0,BEH +9M,\N,YXJ,168,YEG,49,,0,D38 DH3 +9M,\N,YXJ,168,YXS,172,,0,BEH +9M,\N,YXJ,168,YYE,180,,0,D38 BEH DH3 +9M,\N,YXS,172,YKA,78,,0,BEH +9M,\N,YXS,172,YLW,87,,0,BEH +9M,\N,YXS,172,YXJ,168,,0,BEH +9M,\N,YXS,172,YXT,173,,0,DH3 +9M,\N,YXS,172,YYC,178,,0,DH3 +9M,\N,YXS,172,YYD,179,,0,BEH +9M,\N,YXS,172,YYE,180,,0,BEH +9M,\N,YXT,173,YXS,172,,0,DH3 +9M,\N,YYC,178,YEG,49,,0,D38 BEH DH3 +9M,\N,YYC,178,YLL,85,,0,BEH D38 +9M,\N,YYC,178,YXS,172,,0,DH3 +9M,\N,YYD,179,YXS,172,,0,BEH +9M,\N,YYE,180,YDQ,48,,0,DH1 +9M,\N,YYE,180,YXJ,168,,0,D38 BEH DH3 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+9R,4691,BOG,2709,APO,5476,,0,ER4 +9R,4691,BOG,2709,AUC,2752,,0,E70 +9R,4691,BOG,2709,BUN,2712,,0,AT5 +9R,4691,BOG,2709,CZU,2717,,0,AT7 +9R,4691,BOG,2709,EOH,2729,,0,ER4 AT5 AT7 +9R,4691,BOG,2709,FLA,2719,,0,AT5 +9R,4691,BOG,2709,IPI,2725,,0,BE1 +9R,4691,BOG,2709,MVP,2732,,0,E70 +9R,4691,BOG,2709,PCR,2738,,0,E70 +9R,4691,BOG,2709,PDA,6054,,0,E70 +9R,4691,BOG,2709,PSO,2742,,0,E70 +9R,4691,BOG,2709,PUU,2706,,0,AT5 +9R,4691,BOG,2709,RVE,7355,,0,AT5 +9R,4691,BOG,2709,SJE,2747,,0,AT5 +9R,4691,BOG,2709,SVI,2750,,0,BE1 +9R,4691,BOG,2709,TME,2751,,0,AT5 +9R,4691,BOG,2709,UIB,2753,,0,AT5 +9R,4691,BOG,2709,VGZ,7359,,0,AT5 +9R,4691,BOG,2709,VVC,2756,,0,AT7 BE1 +9R,4691,BSC,2711,EOH,2729,,0,AT5 +9R,4691,BUN,2712,BOG,2709,,0,AT5 +9R,4691,CLO,2715,GPI,2722,,0,AT5 +9R,4691,CLO,2715,PUU,2706,,0,AT5 +9R,4691,CLO,2715,UIB,2753,,0,AT5 +9R,4691,CZU,2717,BOG,2709,,0,AT7 +9R,4691,EOH,2729,APO,5476,,0,AT7 +9R,4691,EOH,2729,BOG,2709,,0,AT5 ER4 AT7 +9R,4691,EOH,2729,BSC,2711,,0,AT5 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+9R,4691,SVI,2750,BOG,2709,,0,BE1 +9R,4691,TCD,5477,LET,2728,,0,BE1 +9R,4691,TME,2751,BOG,2709,,0,AT5 +9R,4691,TME,2751,RVE,7355,,0,AT5 +9R,4691,UIB,2753,BOG,2709,,0,AT5 +9R,4691,UIB,2753,CLO,2715,,0,AT5 +9R,4691,UIB,2753,EOH,2729,,0,AT5 +9R,4691,VGZ,7359,BOG,2709,,0,AT5 +9R,4691,VVC,2756,BOG,2709,,0,AT7 BE1 +9R,4691,VVC,2756,LMC,7358,,0,BE1 +9R,4691,VVC,2756,MVP,2732,,0,AT7 +9R,4691,VVC,2756,PCR,2738,,0,E70 +9R,4691,VVC,2756,PDA,6054,,0,E70 +9U,1073,AER,2965,KIV,1735,,0,EM2 +9U,1073,ATH,3941,KIV,1735,,0,E90 +9U,1073,BLQ,1538,KIV,1735,,0,E90 +9U,1073,BVA,1367,KIV,1735,,0,E90 +9U,1073,DME,4029,KIV,1735,,0,320 E90 +9U,1073,DUB,599,KIV,1735,,0,E90 +9U,1073,FCO,1555,KIV,1735,,0,E90 +9U,1073,FRA,340,KIV,1735,,0,E90 +9U,1073,IST,1701,KIV,1735,,0,320 E90 +9U,1073,KBP,2939,KIV,1735,,0,EM2 +9U,1073,KIV,1735,AER,2965,,0,EM2 +9U,1073,KIV,1735,ATH,3941,,0,E90 +9U,1073,KIV,1735,BLQ,1538,,0,E90 +9U,1073,KIV,1735,BVA,1367,,0,E90 +9U,1073,KIV,1735,DME,4029,,0,320 E90 +9U,1073,KIV,1735,DUB,599,,0,E90 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321 +AB,214,FNC,4091,LEJ,348,,0,738 +AB,214,FNC,4091,MUC,346,,0,738 +AB,214,FNC,4091,TXL,351,,0,332 321 +AB,214,FNC,4091,VIE,1613,,0,321 +AB,214,FNC,4091,ZRH,1678,,0,320 +AB,214,FRA,340,ALC,1212,,0,320 +AB,214,FRA,340,AMM,2170,Y,0,319 +AB,214,FRA,340,AUH,2179,Y,0,332 333 +AB,214,FRA,340,BEG,1739,,0,319 +AB,214,FRA,340,CFU,1460,,0,320 +AB,214,FRA,340,CTA,1509,,0,320 +AB,214,FRA,340,DFW,3670,Y,0,777 +AB,214,FRA,340,DME,4029,Y,0,319 +AB,214,FRA,340,GCI,498,,0,DH4 +AB,214,FRA,340,HEL,421,Y,0,E90 +AB,214,FRA,340,IBZ,1225,,0,320 +AB,214,FRA,340,LCY,503,Y,0,E70 E90 AR8 +AB,214,FRA,340,LHR,507,Y,0,320 767 319 +AB,214,FRA,340,MAD,1229,Y,0,32A +AB,214,FRA,340,PMI,3998,,0,320 321 332 +AB,214,FRA,340,RIX,3953,Y,0,735 DH4 73C +AB,214,FRA,340,TXL,351,,0,320 738 73G 319 DH4 +AB,214,FRA,340,VIE,1613,Y,0,E90 320 +AB,214,FUE,1051,CGN,344,,0,738 +AB,214,FUE,1051,DUS,345,,0,738 332 321 +AB,214,FUE,1051,HAM,342,,0,738 +AB,214,FUE,1051,LEJ,348,,0,738 +AB,214,FUE,1051,MUC,346,,0,738 +AB,214,FUE,1051,NUE,347,,0,738 +AB,214,FUE,1051,SZG,1612,,0,320 +AB,214,FUE,1051,TXL,351,,0,321 738 +AB,214,FUE,1051,VIE,1613,,0,321 +AB,214,FUE,1051,ZRH,1678,,0,320 +AB,214,GCI,498,DUS,345,,0,DH4 +AB,214,GCI,498,JER,499,,0,DH4 +AB,214,GDN,668,TXL,351,,0,DH4 +AB,214,GOT,687,TXL,351,,0,73G +AB,214,GRZ,1609,HER,1452,,0,320 +AB,214,GRZ,1609,PMI,3998,Y,0,320 +AB,214,GRZ,1609,TFS,1056,,0,320 +AB,214,GRZ,1609,TXL,351,,0,319 +AB,214,GVA,1665,MAD,1229,Y,0,320 319 +AB,214,GWT,410,DUS,345,,0,DH4 319 738 320 +AB,214,GWT,410,MUC,346,,0,DH4 73G +AB,214,GWT,410,STR,350,,0,DH4 73G +AB,214,GWT,410,TXL,351,,0,DH4 +AB,214,GWT,410,ZRH,1678,,0,73G DH4 +AB,214,HAJ,352,IBZ,1225,,0,738 +AB,214,HAJ,352,JER,499,,0,DH4 +AB,214,HAJ,352,LHR,507,Y,0,319 +AB,214,HAJ,352,PMI,3998,,0,738 321 +AB,214,HAJ,352,STR,350,,0,DH4 +AB,214,HAJ,352,VIE,1613,,0,320 E90 +AB,214,HAM,342,ACE,1055,,0,320 +AB,214,HAM,342,AGP,1230,,0,320 738 321 +AB,214,HAM,342,ALC,1212,,0,320 +AB,214,HAM,342,AYT,1688,,0,320 738 +AB,214,HAM,342,CFU,1460,,0,320 +AB,214,HAM,342,DUS,345,,0,319 320 DH4 738 +AB,214,HAM,342,FAO,1626,,0,320 +AB,214,HAM,342,FUE,1051,,0,738 +AB,214,HAM,342,HEL,421,Y,0,E90 319 E70 +AB,214,HAM,342,HER,1452,,0,320 +AB,214,HAM,342,IBZ,1225,,0,320 738 +AB,214,HAM,342,KGS,1458,,0,738 +AB,214,HAM,342,LHR,507,Y,0,320 319 321 +AB,214,HAM,342,LPA,1054,,0,320 +AB,214,HAM,342,MUC,346,,0,320 738 73G +AB,214,HAM,342,NUE,347,,0,DH4 +AB,214,HAM,342,OLB,1520,,0,320 +AB,214,HAM,342,PMI,3998,,0,320 738 332 319 +AB,214,HAM,342,RIX,3953,Y,0,DH4 735 73C +AB,214,HAM,342,SKG,1486,,0,320 +AB,214,HAM,342,STR,350,,0,320 738 +AB,214,HAM,342,SZG,1612,,0,320 319 +AB,214,HAM,342,TFS,1056,,0,320 +AB,214,HAM,342,VIE,1613,,0,320 E90 321 +AB,214,HEL,421,DUS,345,Y,0,E90 +AB,214,HEL,421,FRA,340,Y,0,E90 +AB,214,HEL,421,HAM,342,Y,0,E90 319 E70 +AB,214,HEL,421,MUC,346,Y,0,319 320 E90 +AB,214,HEL,421,TXL,351,,0,738 73G +AB,214,HEL,421,VIE,1613,Y,0,320 319 E90 +AB,214,HEL,421,ZRH,1678,,0,319 +AB,214,HER,1452,BSL,4053,,0,320 +AB,214,HER,1452,DRS,338,,0,738 +AB,214,HER,1452,DUS,345,,0,738 321 320 +AB,214,HER,1452,GRZ,1609,,0,320 +AB,214,HER,1452,HAM,342,,0,320 +AB,214,HER,1452,LEJ,348,,0,738 +AB,214,HER,1452,LNZ,1611,,0,321 +AB,214,HER,1452,MUC,346,,0,738 320 +AB,214,HER,1452,NUE,347,,0,738 +AB,214,HER,1452,SZG,1612,,0,321 +AB,214,HER,1452,TXL,351,,0,738 321 +AB,214,HER,1452,VIE,1613,,0,320 321 +AB,214,HER,1452,ZRH,1678,,0,320 319 +AB,214,HKT,3179,AUH,2179,,0,332 +AB,214,HKT,3179,BKK,3885,Y,0,320 +AB,214,HRG,1130,CGN,344,,0,738 +AB,214,HRG,1130,DRS,338,,0,738 +AB,214,HRG,1130,DUS,345,,0,738 332 +AB,214,HRG,1130,LEJ,348,,0,738 +AB,214,HRG,1130,NUE,347,,0,738 +AB,214,HRG,1130,TXL,351,,0,321 +AB,214,IBZ,1225,BSL,4053,,0,320 +AB,214,IBZ,1225,CGN,344,,0,738 +AB,214,IBZ,1225,DUS,345,,0,321 738 332 +AB,214,IBZ,1225,FDH,382,,0,320 +AB,214,IBZ,1225,FMO,341,,0,738 +AB,214,IBZ,1225,FRA,340,,0,320 +AB,214,IBZ,1225,HAJ,352,,0,738 +AB,214,IBZ,1225,HAM,342,,0,320 738 +AB,214,IBZ,1225,MUC,346,,0,738 320 +AB,214,IBZ,1225,NUE,347,,0,738 +AB,214,IBZ,1225,PAD,371,,0,738 +AB,214,IBZ,1225,PMI,3998,,0,320 738 +AB,214,IBZ,1225,STR,350,,0,738 320 +AB,214,IBZ,1225,TXL,351,,0,738 321 +AB,214,IBZ,1225,ZRH,1678,,0,320 +AB,214,INN,1610,PMI,3998,Y,0,320 +AB,214,JER,499,DUS,345,,0,73G +AB,214,JER,499,FRA,340,,0,DH4 +AB,214,JER,499,HAJ,352,,0,DH4 +AB,214,JER,499,STR,350,,0,DH4 +AB,214,JFK,3797,DUS,345,,0,332 +AB,214,JFK,3797,TXL,351,,0,332 +AB,214,JMK,1468,VIE,1613,,0,320 321 +AB,214,JTR,1479,VIE,1613,,0,321 320 E90 +AB,214,KGD,2952,TXL,351,,0,DH4 +AB,214,KGS,1458,CGN,344,,0,738 73G +AB,214,KGS,1458,DUS,345,,0,738 321 +AB,214,KGS,1458,HAM,342,,0,738 +AB,214,KGS,1458,LEJ,348,,0,738 +AB,214,KGS,1458,MUC,346,,0,738 +AB,214,KGS,1458,TXL,351,,0,320 738 +AB,214,KLX,1456,VIE,1613,,0,320 E90 +AB,214,KRK,669,TXL,351,,0,DH4 319 73G +AB,214,KVA,1462,DUS,345,,0,738 +AB,214,KVA,1462,MUC,346,,0,738 +AB,214,LAX,3484,DUS,345,,0,332 +AB,214,LCA,1197,VIE,1613,,0,320 +AB,214,LCY,503,FRA,340,Y,0,E70 E90 AR8 +AB,214,LCY,503,ZRH,1678,Y,0,E90 E70 +AB,214,LED,2948,TXL,351,,0,73G 738 +AB,214,LEI,1213,PMI,3998,,0,738 +AB,214,LEJ,348,ACE,1055,,0,738 +AB,214,LEJ,348,AYT,1688,,0,738 +AB,214,LEJ,348,FNC,4091,,0,738 +AB,214,LEJ,348,FUE,1051,,0,738 +AB,214,LEJ,348,HER,1452,,0,738 +AB,214,LEJ,348,HRG,1130,,0,738 +AB,214,LEJ,348,KGS,1458,,0,738 +AB,214,LEJ,348,PMI,3998,,0,738 320 +AB,214,LEJ,348,TFS,1056,,0,738 +AB,214,LGW,502,SZG,1612,Y,0,734 +AB,214,LHR,507,BSL,4053,Y,0,319 320 321 +AB,214,LHR,507,FRA,340,Y,0,767 319 320 +AB,214,LHR,507,HAJ,352,Y,0,319 +AB,214,LHR,507,HAM,342,Y,0,319 321 320 +AB,214,LHR,507,MUC,346,Y,0,320 321 319 +AB,214,LHR,507,ORY,1386,Y,0,320 319 +AB,214,LHR,507,STR,350,Y,0,319 321 320 +AB,214,LHR,507,TXL,351,Y,0,320 321 319 +AB,214,LHR,507,VIE,1613,Y,0,320 +AB,214,LHR,507,ZRH,1678,Y,0,319 320 321 +AB,214,LNZ,1611,HER,1452,,0,321 +AB,214,LNZ,1611,PMI,3998,Y,0,320 +AB,214,LPA,1054,BSL,4053,,0,320 +AB,214,LPA,1054,CGN,344,,0,738 +AB,214,LPA,1054,DUS,345,,0,332 +AB,214,LPA,1054,HAM,342,,0,320 +AB,214,LPA,1054,MUC,346,,0,738 +AB,214,LPA,1054,NUE,347,,0,738 +AB,214,LPA,1054,SZG,1612,,0,320 +AB,214,LPA,1054,TXL,351,,0,321 320 +AB,214,LPA,1054,VIE,1613,,0,320 +AB,214,LPA,1054,ZRH,1678,,0,320 +AB,214,MAD,1229,DUS,345,,0,32A 738 321 +AB,214,MAD,1229,FRA,340,Y,0,32A +AB,214,MAD,1229,GVA,1665,Y,0,319 320 +AB,214,MAD,1229,MUC,346,Y,0,319 320 321 +AB,214,MAD,1229,TXL,351,,0,738 320 +AB,214,MAD,1229,VIE,1613,,0,320 321 +AB,214,MAD,1229,ZRH,1678,Y,0,319 +AB,214,MAH,1231,CGN,344,,0,738 +AB,214,MAH,1231,DUS,345,,0,738 +AB,214,MAH,1231,MUC,346,,0,738 +AB,214,MAH,1231,PMI,3998,,0,320 319 +AB,214,MAH,1231,TXL,351,,0,738 +AB,214,MIA,3576,DUS,345,,0,332 +AB,214,MIA,3576,TXL,351,,0,332 +AB,214,MJT,1469,DUS,345,,0,738 +AB,214,MJT,1469,MUC,346,,0,320 +AB,214,MLA,1606,VIE,1613,,0,E90 +AB,214,MUC,346,ACE,1055,,0,738 +AB,214,MUC,346,AGP,1230,,0,738 320 +AB,214,MUC,346,ALC,1212,,0,320 738 +AB,214,MUC,346,AMM,2170,Y,0,319 +AB,214,MUC,346,AOK,1459,,0,320 +AB,214,MUC,346,AUH,2179,Y,0,346 345 333 +AB,214,MUC,346,AYT,1688,,0,321 +AB,214,MUC,346,BDS,1506,,0,73G 738 +AB,214,MUC,346,CAG,1519,,0,320 738 +AB,214,MUC,346,CFU,1460,,0,321 320 +AB,214,MUC,346,CGN,344,,0,73G +AB,214,MUC,346,CTA,1509,,0,320 321 738 +AB,214,MUC,346,DME,4029,,0,738 +AB,214,MUC,346,DUS,345,,0,738 320 319 321 DH4 +AB,214,MUC,346,FAO,1626,,0,738 +AB,214,MUC,346,FNC,4091,,0,738 +AB,214,MUC,346,FUE,1051,,0,738 +AB,214,MUC,346,GWT,410,,0,DH4 73G +AB,214,MUC,346,HAM,342,,0,320 738 73G +AB,214,MUC,346,HEL,421,Y,0,319 320 E90 +AB,214,MUC,346,HER,1452,,0,738 320 +AB,214,MUC,346,IBZ,1225,,0,738 320 +AB,214,MUC,346,KGS,1458,,0,738 +AB,214,MUC,346,KVA,1462,,0,738 +AB,214,MUC,346,LHR,507,Y,0,321 320 319 +AB,214,MUC,346,LPA,1054,,0,738 +AB,214,MUC,346,MAD,1229,Y,0,319 320 321 +AB,214,MUC,346,MAH,1231,,0,738 +AB,214,MUC,346,MJT,1469,,0,320 +AB,214,MUC,346,NAP,1561,,0,320 738 +AB,214,MUC,346,NBE,7447,,0,320 +AB,214,MUC,346,OLB,1520,,0,73G 738 320 +AB,214,MUC,346,PMI,3998,,0,738 321 320 +AB,214,MUC,346,PUJ,1760,,0,332 +AB,214,MUC,346,PVK,1470,,0,320 +AB,214,MUC,346,RHO,1472,,0,738 +AB,214,MUC,346,RIX,3953,Y,0,73C DH4 735 +AB,214,MUC,346,SAW,4317,,0,738 320 +AB,214,MUC,346,SKG,1486,,0,738 +AB,214,MUC,346,SMI,1476,,0,320 +AB,214,MUC,346,TFS,1056,,0,738 +AB,214,MUC,346,TLV,1590,,0,320 +AB,214,MUC,346,TXL,351,,0,738 321 320 319 73G +AB,214,MUC,346,VIE,1613,Y,0,E90 +AB,214,MUC,346,ZTH,1488,,0,738 +AB,214,MXP,1524,DUS,345,,0,73G 738 320 +AB,214,MXP,1524,TXL,351,,0,738 73G 320 +AB,214,MXP,1524,VIE,1613,Y,0,E90 +AB,214,NAP,1561,DUS,345,,0,738 320 +AB,214,NAP,1561,MUC,346,,0,320 738 +AB,214,NAP,1561,STR,350,,0,320 738 +AB,214,NAP,1561,TXL,351,,0,320 73G +AB,214,NAP,1561,ZRH,1678,,0,320 +AB,214,NBE,7447,CGN,344,,0,738 +AB,214,NBE,7447,DRS,338,,0,738 +AB,214,NBE,7447,DUS,345,,0,738 +AB,214,NBE,7447,MUC,346,,0,320 +AB,214,NBE,7447,NUE,347,,0,738 +AB,214,NBE,7447,TXL,351,,0,738 +AB,214,NCE,1354,DUS,345,,0,319 320 738 +AB,214,NCE,1354,VIE,1613,Y,0,E90 +AB,214,NUE,347,AYT,1688,,0,738 +AB,214,NUE,347,DJE,293,,0,738 +AB,214,NUE,347,DUS,345,,0,DH4 +AB,214,NUE,347,FUE,1051,,0,738 +AB,214,NUE,347,HAM,342,,0,DH4 +AB,214,NUE,347,HER,1452,,0,738 +AB,214,NUE,347,HRG,1130,,0,738 +AB,214,NUE,347,IBZ,1225,,0,738 +AB,214,NUE,347,KGS,1458,,0,738 +AB,214,NUE,347,LPA,1054,,0,738 +AB,214,NUE,347,NBE,7447,,0,738 +AB,214,NUE,347,OLB,1520,,0,738 +AB,214,NUE,347,PMI,3998,,0,738 +AB,214,NUE,347,RHO,1472,,0,738 +AB,214,NUE,347,SAW,4317,,0,738 +AB,214,NUE,347,SKG,1486,,0,738 +AB,214,NUE,347,SMI,1476,,0,738 +AB,214,NUE,347,SPU,1206,,0,DH4 +AB,214,NUE,347,TFS,1056,,0,738 +AB,214,NUE,347,TXL,351,,0,DH4 319 +AB,214,NUE,347,VIE,1613,,0,DH4 +AB,214,OLB,1520,CGN,344,,0,738 +AB,214,OLB,1520,DUS,345,,0,738 319 +AB,214,OLB,1520,HAM,342,,0,320 +AB,214,OLB,1520,MUC,346,,0,73G 738 320 +AB,214,OLB,1520,NUE,347,,0,738 +AB,214,OLB,1520,STR,350,,0,320 738 73G +AB,214,OLB,1520,TXL,351,,0,320 73G +AB,214,OLB,1520,VIE,1613,,0,320 +AB,214,OLB,1520,ZRH,1678,,0,320 738 +AB,214,ORD,3830,DUS,345,Y,0,763 +AB,214,ORD,3830,TXL,351,,0,332 +AB,214,ORY,1386,LHR,507,Y,0,319 320 +AB,214,ORY,1386,TXL,351,,0,738 320 319 +AB,214,OSL,644,TXL,351,,0,319 +AB,214,OTP,1657,TXL,351,,0,320 73G +AB,214,PAD,371,AYT,1688,,0,738 +AB,214,PAD,371,IBZ,1225,,0,738 +AB,214,PAD,371,PMI,3998,,0,738 320 +AB,214,PDL,1633,DUS,345,,0,738 +AB,214,PEK,3364,NGO,3942,Y,0,332 +AB,214,PEK,3364,TXL,351,Y,0,330 +AB,214,PMI,3998,AGP,1230,,0,320 321 +AB,214,PMI,3998,ALC,1212,,0,321 320 +AB,214,PMI,3998,BIO,1216,,0,320 738 +AB,214,PMI,3998,BRE,353,,0,320 738 319 +AB,214,PMI,3998,BSL,4053,,0,320 738 +AB,214,PMI,3998,CGN,344,,0,738 332 320 +AB,214,PMI,3998,CPH,609,,0,738 +AB,214,PMI,3998,DRS,338,,0,738 321 +AB,214,PMI,3998,DTM,373,,0,738 +AB,214,PMI,3998,DUS,345,,0,332 321 738 320 +AB,214,PMI,3998,FAO,1626,,0,738 320 +AB,214,PMI,3998,FDH,382,,0,320 +AB,214,PMI,3998,FKB,4166,,0,320 321 73G +AB,214,PMI,3998,FMO,341,,0,738 320 +AB,214,PMI,3998,FRA,340,,0,321 320 332 +AB,214,PMI,3998,GRZ,1609,Y,0,320 +AB,214,PMI,3998,HAJ,352,,0,321 738 +AB,214,PMI,3998,HAM,342,,0,738 320 332 319 +AB,214,PMI,3998,IBZ,1225,,0,320 738 +AB,214,PMI,3998,INN,1610,Y,0,320 +AB,214,PMI,3998,LEI,1213,,0,738 +AB,214,PMI,3998,LEJ,348,,0,738 320 +AB,214,PMI,3998,LNZ,1611,Y,0,320 +AB,214,PMI,3998,MAH,1231,,0,320 319 +AB,214,PMI,3998,MUC,346,,0,320 321 738 +AB,214,PMI,3998,NUE,347,,0,738 +AB,214,PMI,3998,PAD,371,,0,320 738 +AB,214,PMI,3998,SCN,349,,0,73G 738 320 +AB,214,PMI,3998,STR,350,,0,332 738 321 320 +AB,214,PMI,3998,SVQ,1253,,0,738 +AB,214,PMI,3998,SZG,1612,Y,0,320 +AB,214,PMI,3998,TXL,351,,0,321 738 320 +AB,214,PMI,3998,VIE,1613,,0,321 320 +AB,214,PMI,3998,VLC,1246,,0,738 320 73G +AB,214,PMI,3998,XRY,1226,,0,320 +AB,214,PMI,3998,ZRH,1678,,0,738 320 332 321 +AB,214,POP,1761,DUS,345,,0,332 +AB,214,PUJ,1760,DUS,345,,0,332 +AB,214,PUJ,1760,MUC,346,,0,332 +AB,214,PVK,1470,DUS,345,,0,321 +AB,214,PVK,1470,MUC,346,,0,320 +AB,214,PVK,1470,VIE,1613,,0,E90 +AB,214,RHO,1472,DRS,338,,0,738 +AB,214,RHO,1472,DUS,345,,0,738 +AB,214,RHO,1472,MUC,346,,0,738 +AB,214,RHO,1472,NUE,347,,0,738 +AB,214,RHO,1472,TXL,351,,0,320 +AB,214,RHO,1472,VIE,1613,,0,320 E90 +AB,214,RIX,3953,DUS,345,Y,0,DH4 +AB,214,RIX,3953,FRA,340,Y,0,735 DH4 73C +AB,214,RIX,3953,HAM,342,Y,0,DH4 735 +AB,214,RIX,3953,MUC,346,Y,0,73C DH4 735 +AB,214,RIX,3953,TXL,351,Y,0,DH4 735 +AB,214,RMF,4197,DUS,345,,0,321 +AB,214,RSW,3793,DUS,345,,0,332 +AB,214,SAW,4317,CGN,344,,0,738 +AB,214,SAW,4317,DUS,345,,0,738 +AB,214,SAW,4317,MUC,346,,0,738 320 +AB,214,SAW,4317,NUE,347,,0,738 +AB,214,SAW,4317,STR,350,,0,320 738 +AB,214,SAW,4317,SXF,337,,0,738 +AB,214,SCN,349,PMI,3998,,0,73G 738 320 +AB,214,SCN,349,TXL,351,,0,73G 320 +AB,214,SIN,3316,AUH,2179,Y,0,332 +AB,214,SIN,3316,BNE,3320,Y,0,332 +AB,214,SKG,1486,DUS,345,,0,321 +AB,214,SKG,1486,HAM,342,,0,320 +AB,214,SKG,1486,MUC,346,,0,738 +AB,214,SKG,1486,NUE,347,,0,738 +AB,214,SKG,1486,STR,350,,0,738 +AB,214,SKG,1486,TXL,351,,0,319 +AB,214,SKG,1486,VIE,1613,,0,E90 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+AB,214,SUF,1508,ZRH,1678,,0,320 +AB,214,SVQ,1253,PMI,3998,,0,738 +AB,214,SXF,337,SAW,4317,,0,738 +AB,214,SZG,1612,ACE,1055,,0,320 +AB,214,SZG,1612,CLY,1322,,0,320 +AB,214,SZG,1612,DUS,345,,0,DH4 +AB,214,SZG,1612,HAM,342,,0,320 319 +AB,214,SZG,1612,HER,1452,,0,321 +AB,214,SZG,1612,LGW,502,Y,0,734 +AB,214,SZG,1612,LPA,1054,,0,320 +AB,214,SZG,1612,PMI,3998,Y,0,320 +AB,214,SZG,1612,TFS,1056,,0,320 +AB,214,SZG,1612,TXL,351,,0,319 +AB,214,SZG,1612,VIE,1613,,0,320 +AB,214,TFS,1056,BSL,4053,,0,320 +AB,214,TFS,1056,CGN,344,,0,738 +AB,214,TFS,1056,DRS,338,,0,738 +AB,214,TFS,1056,DUS,345,,0,332 738 321 +AB,214,TFS,1056,GRZ,1609,,0,320 +AB,214,TFS,1056,HAM,342,,0,320 +AB,214,TFS,1056,LEJ,348,,0,738 +AB,214,TFS,1056,MUC,346,,0,738 +AB,214,TFS,1056,NUE,347,,0,738 +AB,214,TFS,1056,SZG,1612,,0,320 +AB,214,TFS,1056,TXL,351,,0,321 +AB,214,TFS,1056,VIE,1613,,0,320 +AB,214,TFS,1056,ZRH,1678,,0,320 +AB,214,TLV,1590,DUS,345,,0,321 738 +AB,214,TLV,1590,MUC,346,,0,320 +AB,214,TLV,1590,TXL,351,,0,320 321 738 +AB,214,TXL,351,ACE,1055,,0,321 +AB,214,TXL,351,AGP,1230,,0,321 +AB,214,TXL,351,ALC,1212,,0,320 73G +AB,214,TXL,351,AMM,2170,Y,0,320 319 +AB,214,TXL,351,ARN,737,,0,738 320 321 319 +AB,214,TXL,351,AUH,2179,,0,332 +AB,214,TXL,351,AYT,1688,,0,320 321 738 +AB,214,TXL,351,BCN,1218,,0,738 320 321 +AB,214,TXL,351,BEG,1739,,0,319 +AB,214,TXL,351,BRI,1501,,0,738 320 +AB,214,TXL,351,BUD,1489,,0,73G 319 +AB,214,TXL,351,CFU,1460,,0,320 321 +AB,214,TXL,351,CGN,344,,0,321 738 73G 320 319 +AB,214,TXL,351,CPH,609,,0,319 73G 738 +AB,214,TXL,351,CTA,1509,,0,321 320 738 +AB,214,TXL,351,DME,4029,,0,738 +AB,214,TXL,351,DUS,345,,0,738 319 73G 320 321 DH4 +AB,214,TXL,351,FAO,1626,,0,321 320 +AB,214,TXL,351,FCO,1555,,0,320 738 73G +AB,214,TXL,351,FKB,4166,,0,73G 319 DH4 +AB,214,TXL,351,FNC,4091,,0,332 321 +AB,214,TXL,351,FRA,340,,0,738 73G 319 320 DH4 +AB,214,TXL,351,FUE,1051,,0,321 738 +AB,214,TXL,351,GDN,668,,0,DH4 +AB,214,TXL,351,GOT,687,,0,73G +AB,214,TXL,351,GRZ,1609,,0,319 +AB,214,TXL,351,GWT,410,,0,DH4 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+AB,214,TXL,351,SCN,349,,0,73G 320 +AB,214,TXL,351,SKG,1486,,0,319 +AB,214,TXL,351,SMI,1476,,0,320 +AB,214,TXL,351,SOF,1194,,0,73G +AB,214,TXL,351,STR,350,,0,320 738 73G 321 DH4 319 +AB,214,TXL,351,SZG,1612,,0,319 +AB,214,TXL,351,TFS,1056,,0,321 +AB,214,TXL,351,TLV,1590,,0,321 738 320 +AB,214,TXL,351,VCE,1551,,0,320 738 73G +AB,214,TXL,351,VIE,1613,,0,321 320 E90 +AB,214,TXL,351,WAW,679,,0,DH4 319 +AB,214,TXL,351,ZRH,1678,,0,738 319 321 320 73G +AB,214,VCE,1551,DUS,345,,0,738 320 321 +AB,214,VCE,1551,STR,350,,0,320 73G +AB,214,VCE,1551,TXL,351,,0,320 738 73G +AB,214,VIE,1613,ACE,1055,,0,321 +AB,214,VIE,1613,AGP,1230,Y,0,321 320 +AB,214,VIE,1613,AMM,2170,Y,0,320 319 +AB,214,VIE,1613,ARN,737,Y,0,E90 +AB,214,VIE,1613,BCN,1218,Y,0,320 321 +AB,214,VIE,1613,CDG,1382,Y,0,320 +AB,214,VIE,1613,CFU,1460,,0,320 +AB,214,VIE,1613,CHQ,1474,,0,320 +AB,214,VIE,1613,CPH,609,Y,0,E90 +AB,214,VIE,1613,DUS,345,,0,321 738 E90 320 319 +AB,214,VIE,1613,FCO,1555,,0,E90 +AB,214,VIE,1613,FLR,1563,Y,0,DH4 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+AC,330,BOG,2709,YYZ,193,,0,763 +AC,330,BOS,3448,YHZ,73,Y,0,CRJ +AC,330,BOS,3448,YOW,100,Y,0,DH1 +AC,330,BOS,3448,YUL,146,Y,0,CRJ DH3 +AC,330,BOS,3448,YYZ,193,,0,E90 E75 +AC,330,BRU,302,BJM,1120,Y,0,332 +AC,330,BRU,302,COO,245,Y,0,332 +AC,330,BRU,302,DKR,1084,Y,0,333 +AC,330,BRU,302,DLA,897,Y,0,333 +AC,330,BRU,302,KGL,1165,Y,0,332 +AC,330,BRU,302,LAD,951,Y,0,333 +AC,330,BRU,302,OUA,246,Y,0,333 +AC,330,BRU,302,YUL,146,,0,333 +AC,330,BRU,302,YYZ,193,Y,0,332 +AC,330,BWI,3849,YYZ,193,Y,0,DH1 +AC,330,CCC,5852,YYZ,193,,0,319 +AC,330,CDG,1382,YUL,146,,0,77W +AC,330,CDG,1382,YYZ,193,,0,77W +AC,330,CKY,4162,DKR,1084,Y,0,333 +AC,330,CLE,3486,YYZ,193,Y,0,DH1 +AC,330,CLT,3876,YYZ,193,Y,0,CRJ +AC,330,CMH,3759,YYZ,193,Y,0,DH1 +AC,330,COO,245,ABJ,253,Y,0,332 +AC,330,CPH,609,AMS,580,Y,0,319 +AC,330,CPH,609,OSL,644,Y,0,321 +AC,330,CPH,609,VNO,3959,Y,0,M80 +AC,330,CPH,609,WAW,679,Y,0,M80 +AC,330,CPH,609,YYZ,193,,0,763 +AC,330,CUN,1852,YUL,146,,0,319 +AC,330,CUN,1852,YYC,178,,0,319 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+BG,1359,DAC,3076,KWI,2176,,0,D1C +BG,1359,DAC,3076,LHR,507,,0,772 +BG,1359,DAC,3076,MCT,2194,,0,738 +BG,1359,DAC,3076,RGN,3239,,0,738 +BG,1359,DAC,3076,SIN,3316,,0,738 +BG,1359,DEL,3093,DAC,3076,,0,738 +BG,1359,DMM,2064,RUH,2082,,0,772 +BG,1359,DOH,2241,DXB,2188,,0,313 +BG,1359,DXB,2188,CGP,3069,,0,313 +BG,1359,DXB,2188,ZYL,3074,,0,313 +BG,1359,FCO,1555,DAC,3076,,0,773 +BG,1359,FCO,1555,FRA,340,,0,773 +BG,1359,FRA,340,FCO,1555,,0,773 +BG,1359,HKG,3077,DAC,3076,,0,D1C +BG,1359,JED,2072,CGP,3069,,0,772 +BG,1359,JED,2072,DAC,3076,,0,772 +BG,1359,KTM,3125,DAC,3076,,0,313 +BG,1359,KUL,3304,DAC,3076,,0,313 772 D1C 738 +BG,1359,KWI,2176,CGP,3069,,0,D1C +BG,1359,KWI,2176,DAC,3076,,0,D1C +BG,1359,LHR,507,DAC,3076,,0,772 +BG,1359,LHR,507,ZYL,3074,,0,772 +BG,1359,MCT,2194,CGP,3069,,0,313 +BG,1359,RGN,3239,DAC,3076,,0,738 +BG,1359,RUH,2082,DAC,3076,,0,772 +BG,1359,SIN,3316,DAC,3076,,0,738 +BG,1359,ZYL,3074,DAC,3076,,0,313 772 +BH,2692,YPR,108,YVR,156,,0,DH1 +BH,2692,YVR,156,YPR,108,,0,DH1 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+EK,2183,MLA,1606,LCA,1197,,0,773 +EK,2183,MLA,1606,TIP,1157,,0,773 +EK,2183,MLE,3156,CMB,3024,,0,773 +EK,2183,MLE,3156,DXB,2188,,0,773 77W +EK,2183,MNL,2397,DXB,2188,,0,77W +EK,2183,MRU,893,DXB,2188,,0,388 77W +EK,2183,MUC,346,DXB,2188,,0,388 +EK,2183,MXP,1524,DXB,2188,,0,77W 773 +EK,2183,MXP,1524,JFK,3797,,0,77W +EK,2183,NBO,4059,DXB,2188,,0,77W 77L +EK,2183,NCE,1354,DXB,2188,,0,77W +EK,2183,NCL,521,DXB,2188,,0,77W +EK,2183,NRT,2279,DXB,2188,,0,77W +EK,2183,PEK,3364,DXB,2188,,0,77W 388 +EK,2183,PER,3351,ASP,3319,Y,0,717 +EK,2183,PER,3351,DXB,2188,,0,77W +EK,2183,PER,3351,SIN,3316,Y,0,332 +EK,2183,PEW,2219,DXB,2188,,0,772 332 +EK,2183,PRG,1587,DXB,2188,,0,77W +EK,2183,PVG,3406,DXB,2188,,0,388 77W +EK,2183,ROK,3329,BNE,3320,Y,0,DH8 DH4 +EK,2183,RUH,2082,DXB,2188,,0,77W 773 772 +EK,2183,SAH,3980,DXB,2188,,0,332 +EK,2183,SEA,3577,DXB,2188,,0,77W +EK,2183,SEZ,994,DXB,2188,,0,77W +EK,2183,SFO,3469,DXB,2188,,0,77W +EK,2183,SGN,3205,DXB,2188,,0,772 +EK,2183,SIN,3316,BNE,3320,,0,77W +EK,2183,SIN,3316,DXB,2188,,0,77W 388 +EK,2183,SIN,3316,MEL,3339,,0,77W +EK,2183,SIN,3316,PER,3351,Y,0,332 +EK,2183,SIN,3316,SYD,3361,Y,0,333 744 +EK,2183,SKT,6776,DXB,2188,,0,332 +EK,2183,SYD,3361,AKL,2006,,0,388 +EK,2183,SYD,3361,BKK,3885,,0,77W +EK,2183,SYD,3361,CHC,2009,,0,77W +EK,2183,SYD,3361,DXB,2188,,0,388 +EK,2183,SYD,3361,SIN,3316,Y,0,333 744 +EK,2183,SYD,3361,WLG,2042,Y,0,73H +EK,2183,SYD,3361,ZQN,2030,Y,0,73H +EK,2183,TIP,1157,DXB,2188,,0,773 +EK,2183,TPE,2276,DXB,2188,,0,77W +EK,2183,TRV,3153,DXB,2188,,0,332 +EK,2183,TUN,287,DXB,2188,,0,773 +EK,2183,VCE,1551,DXB,2188,,0,77W +EK,2183,VIE,1613,DXB,2188,,0,77W +EK,2183,WAW,679,DXB,2188,,0,332 +EK,2183,WLG,2042,MEL,3339,Y,0,73H +EK,2183,WLG,2042,SYD,3361,Y,0,73H +EK,2183,YYZ,193,DXB,2188,,0,388 +EK,2183,ZQN,2030,SYD,3361,Y,0,73H +EK,2183,ZRH,1678,DXB,2188,,0,388 77W +EL,336,DME,4029,SKG,1486,,0,AR8 +EL,336,DOK,2940,SKG,1486,,0,AR8 +EL,336,ROV,2964,SKG,1486,,0,AR8 +EL,336,SKG,1486,DME,4029,,0,AR8 +EL,336,SKG,1486,DOK,2940,,0,AR8 +EL,336,SKG,1486,ROV,2964,,0,AR8 +EN,807,BRI,1501,MUC,346,,0,E95 +EN,807,FLR,1563,MUC,346,,0,E95 +EN,807,FRA,340,LIN,1529,,0,321 E90 320 319 32A +EN,807,FRA,340,VRN,1550,,0,E95 +EN,807,LIN,1529,FRA,340,,0,320 321 E90 319 32A +EN,807,MUC,346,BRI,1501,,0,E95 +EN,807,MUC,346,FLR,1563,,0,E95 +EN,807,MUC,346,VCE,1551,,0,E95 +EN,807,MUC,346,VRN,1550,,0,E95 +EN,807,VCE,1551,MUC,346,,0,E95 +EN,807,VRN,1550,FRA,340,,0,E95 +EN,807,VRN,1550,MUC,346,,0,E95 +EO,2293,CAI,1128,ELQ,2067,,0,320 +EO,2293,CAI,1128,TIF,2090,,0,320 +EO,2293,CAI,1128,TUU,2089,,0,320 +EO,2293,CAI,1128,YNB,2096,,0,320 +EO,2293,ELQ,2067,CAI,1128,,0,320 +EO,2293,HBE,3410,JED,2072,,0,320 +EO,2293,HBE,3410,KWI,2176,,0,320 +EO,2293,JED,2072,HBE,3410,,0,320 +EO,2293,KWI,2176,HBE,3410,,0,320 +EO,2293,TIF,2090,CAI,1128,,0,320 +EO,2293,TUU,2089,CAI,1128,,0,320 +EO,2293,YNB,2096,CAI,1128,,0,320 +EP,2923,ABD,2097,SYZ,2157,,0,100 +EP,2923,ABD,2097,THR,2131,,0,100 +EP,2923,ACZ,\N,MHD,4331,,0,100 +EP,2923,ADU,5935,THR,2131,,0,AT7 100 +EP,2923,AFZ,5931,THR,2131,,0,100 +EP,2923,ARN,737,IKA,4330,,0,340 +EP,2923,AWZ,2104,KWI,2176,,0,100 +EP,2923,AWZ,2104,MHD,4331,,0,100 +EP,2923,AWZ,2104,PGU,7546,,0,100 +EP,2923,AWZ,2104,SYZ,2157,,0,100 +EP,2923,AWZ,2104,THR,2131,,0,100 +EP,2923,AZD,2164,BND,2134,,0,100 +EP,2923,AZD,2164,MHD,4331,,0,100 +EP,2923,AZD,2164,THR,2131,,0,100 +EP,2923,BDH,2110,DXB,2188,,0,AT7 +EP,2923,BJB,5930,THR,2131,,0,100 AT7 +EP,2923,BND,2134,AZD,2164,,0,100 +EP,2923,BND,2134,DXB,2188,,0,100 +EP,2923,BND,2134,IFN,4150,,0,100 +EP,2923,BND,2134,KIH,2109,,0,AT7 +EP,2923,BND,2134,RAS,2123,,0,100 +EP,2923,BND,2134,SYZ,2157,,0,100 +EP,2923,BND,2134,THR,2131,,0,100 +EP,2923,BUZ,2106,DXB,2188,,0,100 +EP,2923,BUZ,2106,MHD,4331,,0,100 +EP,2923,BUZ,2106,THR,2131,,0,100 +EP,2923,BXR,5928,THR,2131,,0,100 +EP,2923,DEF,\N,THR,2131,,0,AT7 100 +EP,2923,DXB,2188,BDH,2110,,0,AT7 +EP,2923,DXB,2188,BND,2134,,0,100 +EP,2923,DXB,2188,BUZ,2106,,0,100 +EP,2923,DXB,2188,IKA,4330,,0,343 +EP,2923,DXB,2188,LFM,\N,,0,AT7 +EP,2923,DXB,2188,LRR,5934,,0,100 AT7 +EP,2923,DXB,2188,MHD,4331,,0,100 +EP,2923,DXB,2188,SYZ,2157,,0,100 +EP,2923,DXB,2188,TBZ,2162,,0,100 +EP,2923,DXB,2188,ZAH,2167,,0,100 +EP,2923,DXB,2188,ZBR,2166,,0,100 +EP,2923,DYU,2979,IKA,4330,,0,100 +EP,2923,DYU,2979,MHD,4331,,0,100 +EP,2923,EVN,3964,IKA,4330,,0,100 +EP,2923,GBT,6747,MHD,4331,,0,AT7 +EP,2923,GBT,6747,THR,2131,,0,100 AT7 +EP,2923,GBT,6747,ZAH,2167,,0,100 +EP,2923,GCH,\N,THR,2131,,0,AT7 +EP,2923,GSM,5712,SYZ,2157,,0,AT7 +EP,2923,HDM,6790,MHD,4331,,0,100 +EP,2923,HEA,2048,MHD,4331,,0,100 +EP,2923,IFN,4150,BND,2134,,0,100 +EP,2923,IFN,4150,MHD,4331,,0,100 +EP,2923,IFN,4150,PGU,7546,,0,100 +EP,2923,IFN,4150,THR,2131,,0,100 +EP,2923,IIL,6748,THR,2131,,0,100 +EP,2923,IKA,4330,ARN,737,,0,340 +EP,2923,IKA,4330,DXB,2188,,0,340 +EP,2923,IKA,4330,DYU,2979,,0,100 +EP,2923,IKA,4330,EVN,3964,,0,100 +EP,2923,IKA,4330,IST,1701,,0,340 +EP,2923,IKA,4330,ISU,5952,,0,100 +EP,2923,IKA,4330,KBL,2050,,0,100 +EP,2923,IST,1701,IKA,4330,,0,340 +EP,2923,ISU,5952,IKA,4330,,0,100 +EP,2923,KBL,2050,IKA,4330,,0,100 +EP,2923,KBL,2050,MHD,4331,,0,100 +EP,2923,KDH,2051,MHD,4331,,0,100 +EP,2923,KER,2136,SYZ,2157,,0,AT7 +EP,2923,KHY,\N,THR,2131,,0,AT7 +EP,2923,KIH,2109,BND,2134,,0,AT7 +EP,2923,KIH,2109,SYZ,2157,,0,AT7 100 +EP,2923,KSH,2114,THR,2131,,0,AT7 100 +EP,2923,KWI,2176,AWZ,2104,,0,100 +EP,2923,KWI,2176,LFM,\N,,0,AT7 +EP,2923,KWI,2176,MHD,4331,,0,100 +EP,2923,KWI,2176,SYZ,2157,,0,100 +EP,2923,LFM,\N,DXB,2188,,0,AT7 +EP,2923,LFM,\N,KWI,2176,,0,AT7 +EP,2923,LFM,\N,SYZ,2157,,0,AT7 +EP,2923,LRR,5934,DXB,2188,,0,100 AT7 +EP,2923,LRR,5934,SYZ,2157,,0,AT7 +EP,2923,MCT,2194,SYZ,2157,,0,100 +EP,2923,MCT,2194,ZBR,2166,,0,100 +EP,2923,MHD,4331,ACZ,\N,,0,100 +EP,2923,MHD,4331,AWZ,2104,,0,100 +EP,2923,MHD,4331,AZD,2164,,0,100 +EP,2923,MHD,4331,BUZ,2106,,0,100 +EP,2923,MHD,4331,DXB,2188,,0,100 +EP,2923,MHD,4331,DYU,2979,,0,100 +EP,2923,MHD,4331,GBT,6747,,0,AT7 +EP,2923,MHD,4331,HDM,6790,,0,100 +EP,2923,MHD,4331,HEA,2048,,0,100 +EP,2923,MHD,4331,IFN,4150,,0,100 +EP,2923,MHD,4331,KBL,2050,,0,100 +EP,2923,MHD,4331,KDH,2051,,0,100 +EP,2923,MHD,4331,KWI,2176,,0,100 +EP,2923,MHD,4331,MZR,2053,,0,100 +EP,2923,MHD,4331,NSH,5932,,0,100 +EP,2923,MHD,4331,RAS,2123,,0,100 +EP,2923,MHD,4331,RZR,2151,,0,AT7 +EP,2923,MHD,4331,SYZ,2157,,0,100 +EP,2923,MHD,4331,TBZ,2162,,0,100 +EP,2923,MHD,4331,THR,2131,,0,100 +EP,2923,MHD,4331,ZAH,2167,,0,100 +EP,2923,MHD,4331,ZBR,2166,,0,100 +EP,2923,MZR,2053,IKA,4330,,0,100 +EP,2923,NSH,5932,MHD,4331,,0,100 +EP,2923,NSH,5932,THR,2131,,0,AT7 +EP,2923,OMH,5936,THR,2131,,0,100 +EP,2923,PFQ,6749,THR,2131,,0,AT7 +EP,2923,PGU,7546,AWZ,2104,,0,100 +EP,2923,PGU,7546,IFN,4150,,0,100 +EP,2923,PGU,7546,RAS,2123,,0,100 +EP,2923,PGU,7546,SYZ,2157,,0,100 +EP,2923,PGU,7546,THR,2131,,0,100 +EP,2923,RAS,2123,BND,2134,,0,100 +EP,2923,RAS,2123,MHD,4331,,0,100 +EP,2923,RAS,2123,PGU,7546,,0,100 +EP,2923,RAS,2123,SYZ,2157,,0,100 +EP,2923,RAS,2123,THR,2131,,0,AT7 +EP,2923,RZR,2151,MHD,4331,,0,AT7 +EP,2923,RZR,2151,THR,2131,,0,AT7 +EP,2923,SDG,2117,THR,2131,,0,100 +EP,2923,SRY,5933,SYZ,2157,,0,100 +EP,2923,SYZ,2157,ABD,2097,,0,100 +EP,2923,SYZ,2157,AWZ,2104,,0,100 +EP,2923,SYZ,2157,BND,2134,,0,100 +EP,2923,SYZ,2157,DXB,2188,,0,100 +EP,2923,SYZ,2157,GSM,5712,,0,AT7 +EP,2923,SYZ,2157,KER,2136,,0,AT7 +EP,2923,SYZ,2157,KIH,2109,,0,100 AT7 +EP,2923,SYZ,2157,KWI,2176,,0,100 +EP,2923,SYZ,2157,LFM,\N,,0,AT7 +EP,2923,SYZ,2157,LRR,5934,,0,AT7 +EP,2923,SYZ,2157,MCT,2194,,0,100 +EP,2923,SYZ,2157,MHD,4331,,0,100 +EP,2923,SYZ,2157,PGU,7546,,0,100 +EP,2923,SYZ,2157,RAS,2123,,0,100 +EP,2923,SYZ,2157,SRY,5933,,0,100 +EP,2923,SYZ,2157,TBZ,2162,,0,100 +EP,2923,SYZ,2157,THR,2131,,0,100 +EP,2923,SYZ,2157,ZAH,2167,,0,100 +EP,2923,TBZ,2162,DXB,2188,,0,100 +EP,2923,TBZ,2162,MHD,4331,,0,100 +EP,2923,TBZ,2162,SYZ,2157,,0,100 +EP,2923,TBZ,2162,THR,2131,,0,100 +EP,2923,THR,2131,ABD,2097,,0,100 +EP,2923,THR,2131,ADU,5935,,0,AT7 100 +EP,2923,THR,2131,AFZ,5931,,0,100 +EP,2923,THR,2131,AWZ,2104,,0,100 +EP,2923,THR,2131,AZD,2164,,0,100 +EP,2923,THR,2131,BJB,5930,,0,100 AT7 +EP,2923,THR,2131,BND,2134,,0,100 +EP,2923,THR,2131,BUZ,2106,,0,100 +EP,2923,THR,2131,BXR,5928,,0,100 +EP,2923,THR,2131,DEF,\N,,0,AT7 100 +EP,2923,THR,2131,GBT,6747,,0,100 AT7 +EP,2923,THR,2131,GCH,\N,,0,AT7 +EP,2923,THR,2131,IFN,4150,,0,100 +EP,2923,THR,2131,IIL,6748,,0,100 +EP,2923,THR,2131,KHY,\N,,0,AT7 +EP,2923,THR,2131,KSH,2114,,0,AT7 100 +EP,2923,THR,2131,MHD,4331,,0,100 +EP,2923,THR,2131,NSH,5932,,0,AT7 +EP,2923,THR,2131,OMH,5936,,0,100 +EP,2923,THR,2131,PFQ,6749,,0,AT7 +EP,2923,THR,2131,PGU,7546,,0,100 +EP,2923,THR,2131,RAS,2123,,0,AT7 +EP,2923,THR,2131,RZR,2151,,0,AT7 +EP,2923,THR,2131,SDG,2117,,0,100 +EP,2923,THR,2131,SYZ,2157,,0,100 +EP,2923,THR,2131,TBZ,2162,,0,100 +EP,2923,THR,2131,YES,7547,,0,AT7 +EP,2923,THR,2131,ZAH,2167,,0,100 +EP,2923,THR,2131,ZBR,2166,,0,100 +EP,2923,YES,7547,THR,2131,,0,AT7 +EP,2923,ZAH,2167,DXB,2188,,0,100 +EP,2923,ZAH,2167,GBT,6747,,0,100 +EP,2923,ZAH,2167,MHD,4331,,0,100 +EP,2923,ZAH,2167,SYZ,2157,,0,100 +EP,2923,ZAH,2167,THR,2131,,0,100 +EP,2923,ZBR,2166,MCT,2194,,0,100 +EP,2923,ZBR,2166,MHD,4331,,0,100 +EP,2923,ZBR,2166,THR,2131,,0,100 +EQ,4863,BOG,2709,CCS,2851,,0,E70 +EQ,4863,BOG,2709,UIO,2688,,0,E70 +EQ,4863,CCS,2851,BOG,2709,,0,E70 +EQ,4863,CLO,2715,ESM,6047,,0,E70 +EQ,4863,CUE,2671,GYE,2673,,0,320 E90 +EQ,4863,CUE,2671,UIO,2688,,0,E90 +EQ,4863,ESM,6047,CLO,2715,,0,E70 +EQ,4863,ESM,6047,GYE,2673,,0,E70 +EQ,4863,ESM,6047,UIO,2688,,0,E70 +EQ,4863,ETR,\N,UIO,2688,,0,E70 +EQ,4863,GPS,2672,GYE,2673,,0,320 +EQ,4863,GRU,2564,UIO,2688,,0,E70 +EQ,4863,GYE,2673,CUE,2671,,0,320 E90 +EQ,4863,GYE,2673,ESM,6047,,0,E70 +EQ,4863,GYE,2673,GPS,2672,,0,320 +EQ,4863,GYE,2673,LOH,6046,,0,E90 +EQ,4863,GYE,2673,LTX,7695,,0,E70 +EQ,4863,GYE,2673,PTY,1871,,0,E90 +EQ,4863,GYE,2673,SCY,6045,,0,320 +EQ,4863,GYE,2673,UIO,2688,,0,320 +EQ,4863,HAV,1909,UIO,2688,,0,E70 +EQ,4863,LGQ,6750,UIO,2688,,0,E70 E90 +EQ,4863,LIM,2789,UIO,2688,,0,E70 +EQ,4863,LOH,6046,GYE,2673,,0,E90 +EQ,4863,LOH,6046,UIO,2688,,0,E90 E70 +EQ,4863,LTX,7695,GYE,2673,,0,E70 +EQ,4863,LTX,7695,OCC,2670,,0,E70 +EQ,4863,MEC,2683,UIO,2688,,0,E90 +EQ,4863,OCC,2670,LTX,7695,,0,E70 +EQ,4863,OCC,2670,UIO,2688,,0,E90 +EQ,4863,PTY,1871,GYE,2673,,0,E90 +EQ,4863,SCY,6045,GYE,2673,,0,320 +EQ,4863,TNW,\N,UIO,2688,,0,E90 +EQ,4863,UIO,2688,BOG,2709,,0,E70 +EQ,4863,UIO,2688,CUE,2671,,0,319 +EQ,4863,UIO,2688,ESM,6047,,0,320 +EQ,4863,UIO,2688,ETR,\N,,0,E70 +EQ,4863,UIO,2688,GRU,2564,,0,E70 +EQ,4863,UIO,2688,GYE,2673,,0,320 +EQ,4863,UIO,2688,HAV,1909,,0,E70 +EQ,4863,UIO,2688,LGQ,6750,,0,E70 E90 +EQ,4863,UIO,2688,LIM,2789,,0,E70 +EQ,4863,UIO,2688,LOH,6046,,0,E90 +EQ,4863,UIO,2688,MEC,2683,,0,E90 +EQ,4863,UIO,2688,OCC,2670,,0,E90 +EQ,4863,UIO,2688,TUA,2697,,0,E70 +EQ,4863,UIO,2688,XMS,2680,,0,E90 +EQ,4863,XMS,2680,TNW,\N,,0,E90 +ET,2220,ABJ,253,CKY,4162,,0,DH8 +ET,2220,ABJ,253,COO,245,,0,73W 752 +ET,2220,ABJ,253,LFW,298,,0,DH8 +ET,2220,ABJ,253,LOS,273,Y,0,DH8 +ET,2220,ABJ,253,OUA,246,,0,752 +ET,2220,ABV,260,ADD,1107,,0,77L +ET,2220,ABV,260,COO,245,Y,0,DH8 +ET,2220,ABV,260,LFW,298,Y,0,DH8 +ET,2220,ABV,260,NDJ,999,Y,0,DH8 +ET,2220,ABV,260,NIM,280,Y,0,DH8 +ET,2220,ACC,248,ADD,1107,,0,738 +ET,2220,ACC,248,FNA,1059,Y,0,DH8 +ET,2220,ACC,248,LFW,298,Y,0,DH8 +ET,2220,ACC,248,MLW,1062,Y,0,DH8 +ET,2220,ADD,1107,ABV,260,,0,77L +ET,2220,ADD,1107,ACC,248,,0,738 +ET,2220,ADD,1107,AMH,1109,,0,DH8 +ET,2220,ADD,1107,ASO,1119,,0,DH8 +ET,2220,ADD,1107,AXU,1110,,0,DH8 +ET,2220,ADD,1107,BEY,2177,,0,738 +ET,2220,ADD,1107,BJR,1111,,0,DH8 +ET,2220,ADD,1107,BKK,3885,,0,763 +ET,2220,ADD,1107,BKO,1044,,0,763 +ET,2220,ADD,1107,BOM,2997,,0,788 +ET,2220,ADD,1107,CAI,1128,,0,73W 738 +ET,2220,ADD,1107,CAN,3370,,0,77W +ET,2220,ADD,1107,CDG,1382,,0,763 +ET,2220,ADD,1107,COO,245,,0,73W 752 +ET,2220,ADD,1107,DAR,1177,,0,738 73W +ET,2220,ADD,1107,DEL,3093,,0,752 +ET,2220,ADD,1107,DIR,1112,,0,DH8 73W +ET,2220,ADD,1107,DLA,897,,0,763 +ET,2220,ADD,1107,DMM,2064,,0,73W +ET,2220,ADD,1107,DXB,2188,,0,77L 738 788 763 +ET,2220,ADD,1107,EBB,1187,,0,763 73W +ET,2220,ADD,1107,ENU,264,,0,752 +ET,2220,ADD,1107,FBM,1038,,0,738 73W +ET,2220,ADD,1107,FCO,1555,,0,763 +ET,2220,ADD,1107,FIH,1020,,0,788 +ET,2220,ADD,1107,FRA,340,,0,788 +ET,2220,ADD,1107,GDQ,1114,,0,DH8 +ET,2220,ADD,1107,GMB,1113,,0,DH8 +ET,2220,ADD,1107,HGA,1121,,0,DH8 +ET,2220,ADD,1107,HKG,3077,,0,788 +ET,2220,ADD,1107,HRE,1005,,0,788 +ET,2220,ADD,1107,JED,2072,,0,738 752 +ET,2220,ADD,1107,JIB,4119,,0,DH8 73W +ET,2220,ADD,1107,JIJ,7417,,0,DH8 +ET,2220,ADD,1107,JIM,1116,,0,DH8 +ET,2220,ADD,1107,JNB,813,,0,77L +ET,2220,ADD,1107,JRO,1180,,0,763 +ET,2220,ADD,1107,JUB,1173,,0,DH8 73W +ET,2220,ADD,1107,KGL,1165,,0,738 +ET,2220,ADD,1107,KRT,1175,,0,DH8 738 +ET,2220,ADD,1107,KWI,2176,,0,738 +ET,2220,ADD,1107,LAD,951,,0,77W +ET,2220,ADD,1107,LBV,970,,0,738 +ET,2220,ADD,1107,LFW,298,,0,788 73W +ET,2220,ADD,1107,LHR,507,,0,788 77L +ET,2220,ADD,1107,LLW,1016,,0,738 +ET,2220,ADD,1107,LOS,273,,0,77L +ET,2220,ADD,1107,LUN,907,,0,788 +ET,2220,ADD,1107,MBA,1145,,0,738 DH8 +ET,2220,ADD,1107,MCT,2194,,0,73W +ET,2220,ADD,1107,MPM,979,,0,73W 738 +ET,2220,ADD,1107,MQX,1118,,0,738 DH8 73W +ET,2220,ADD,1107,NBO,4059,,0,763 738 +ET,2220,ADD,1107,NDJ,999,,0,738 752 763 +ET,2220,ADD,1107,NIM,280,,0,752 +ET,2220,ADD,1107,OUA,246,,0,752 +ET,2220,ADD,1107,PEK,3364,,0,77L +ET,2220,ADD,1107,PNR,886,,0,738 +ET,2220,ADD,1107,PVG,3406,,0,788 77L +ET,2220,ADD,1107,RUH,2082,,0,738 +ET,2220,ADD,1107,SSG,891,,0,763 +ET,2220,ADD,1107,SZE,\N,,0,DH8 +ET,2220,ADD,1107,TLV,1590,,0,763 +ET,2220,ADL,3341,SIN,3316,,0,333 +ET,2220,AKL,2006,SIN,3316,,0,77W +ET,2220,AMH,1109,ADD,1107,,0,DH8 +ET,2220,AMS,580,FRA,340,Y,0,32A 319 +ET,2220,ARN,737,ADD,1107,,0,752 +ET,2220,ARN,737,CPH,609,,0,320 +ET,2220,ARN,737,FRA,340,Y,0,321 32A +ET,2220,ARN,737,HEL,421,,0,717 +ET,2220,ARN,737,OSL,644,,0,738 736 73W +ET,2220,ASO,1119,ADD,1107,,0,DH8 +ET,2220,AXU,1110,ADD,1107,,0,DH8 +ET,2220,AXU,1110,LLI,1117,,0,DH8 +ET,2220,BCN,1218,FRA,340,Y,0,321 +ET,2220,BEY,2177,ADD,1107,,0,738 +ET,2220,BGF,888,DLA,897,Y,0,73W +ET,2220,BJM,1120,KGL,1165,,0,738 +ET,2220,BJR,1111,ADD,1107,,0,DH8 +ET,2220,BJR,1111,LLI,1117,,0,DH8 +ET,2220,BKK,3885,ADD,1107,,0,763 +ET,2220,BKK,3885,ICN,3930,Y,0,333 772 +ET,2220,BKK,3885,KUL,3304,,0,763 +ET,2220,BKK,3885,SIN,3316,,0,772 763 +ET,2220,BKO,1044,ADD,1107,,0,763 +ET,2220,BKO,1044,CKY,4162,Y,0,DH8 +ET,2220,BKO,1044,DKR,1084,,0,763 +ET,2220,BKO,1044,LFW,298,Y,0,73W +ET,2220,BKO,1044,OUA,246,Y,0,DH8 +ET,2220,BLZ,1013,ADD,1107,,0,738 +ET,2220,BLZ,1013,JNB,813,,0,738 +ET,2220,BLZ,1013,LLW,1016,,0,738 +ET,2220,BNE,3320,SIN,3316,,0,333 +ET,2220,BOM,2997,ADD,1107,,0,788 +ET,2220,BRU,302,CDG,1382,,0,763 +ET,2220,BRU,302,FRA,340,Y,0,319 320 733 32A +ET,2220,BUD,1489,FRA,340,Y,0,321 32A +ET,2220,BZV,883,ADD,1107,,0,788 +ET,2220,BZV,883,DLA,897,Y,0,DH8 +ET,2220,CAI,1128,ADD,1107,,0,73W 738 +ET,2220,CAI,1128,LCA,1197,Y,0,E70 +ET,2220,CAN,3370,ADD,1107,,0,77W +ET,2220,CDG,1382,ADD,1107,,0,763 +ET,2220,CDG,1382,BRU,302,,0,763 +ET,2220,CHC,2009,SIN,3316,,0,772 +ET,2220,CKY,4162,ABJ,253,,0,DH8 +ET,2220,CKY,4162,BKO,1044,Y,0,DH8 +ET,2220,CKY,4162,DKR,1084,Y,0,73W +ET,2220,CKY,4162,LFW,298,Y,0,73W +ET,2220,CKY,4162,OXB,5665,,0,DH8 +ET,2220,COO,245,ABJ,253,,0,73W 752 +ET,2220,COO,245,ABV,260,Y,0,DH8 +ET,2220,COO,245,ADD,1107,,0,73W 752 +ET,2220,COO,245,LFW,298,Y,0,DH8 +ET,2220,COO,245,NIM,280,Y,0,DH8 +ET,2220,CPH,609,ARN,737,,0,321 +ET,2220,CPH,609,FRA,340,Y,0,321 320 +ET,2220,DAR,1177,ADD,1107,,0,738 +ET,2220,DAR,1177,LLW,1016,,0,DH8 +ET,2220,DAR,1177,ZNZ,1186,,0,73W +ET,2220,DEL,3093,ADD,1107,,0,752 +ET,2220,DIR,1112,ADD,1107,,0,DH8 73W +ET,2220,DIR,1112,JIB,4119,,0,73W DH8 +ET,2220,DIR,1112,JIJ,7417,,0,DH8 +ET,2220,DKR,1084,BKO,1044,,0,763 +ET,2220,DKR,1084,CKY,4162,Y,0,73W +ET,2220,DLA,897,ADD,1107,,0,763 +ET,2220,DLA,897,BGF,888,Y,0,73W +ET,2220,DLA,897,BZV,883,Y,0,DH8 +ET,2220,DLA,897,LFW,298,Y,0,73W DH8 +ET,2220,DLA,897,NDJ,999,Y,0,73W +ET,2220,DLA,897,SSG,891,,0,763 +ET,2220,DMM,2064,ADD,1107,,0,73W +ET,2220,DUS,345,FRA,340,Y,0,319 320 321 +ET,2220,DXB,2188,ADD,1107,,0,77L 738 788 763 +ET,2220,DXB,2188,SIN,3316,Y,0,77W 333 +ET,2220,EBB,1187,ADD,1107,,0,763 +ET,2220,EBB,1187,KGL,1165,,0,73W +ET,2220,ENU,264,ADD,1107,,0,752 +ET,2220,FBM,1038,NLA,910,,0,738 +ET,2220,FCO,1555,ADD,1107,,0,763 +ET,2220,FCO,1555,MXP,1524,,0,763 +ET,2220,FIH,1020,BZV,883,,0,788 +ET,2220,FIH,1020,LBV,970,Y,0,73W +ET,2220,FNA,1059,ACC,248,Y,0,DH8 +ET,2220,FNA,1059,MLW,1062,Y,0,DH8 +ET,2220,FRA,340,ADD,1107,,0,788 +ET,2220,FRA,340,AMS,580,Y,0,733 +ET,2220,FRA,340,ARN,737,Y,0,32A 321 +ET,2220,FRA,340,BCN,1218,Y,0,321 +ET,2220,FRA,340,BRU,302,Y,0,735 733 +ET,2220,FRA,340,BUD,1489,Y,0,733 735 +ET,2220,FRA,340,CPH,609,Y,0,319 321 320 +ET,2220,FRA,340,DUS,345,Y,0,319 320 321 +ET,2220,FRA,340,GOT,687,Y,0,32A 321 +ET,2220,FRA,340,GVA,1665,Y,0,E90 CR7 +ET,2220,FRA,340,HEL,421,Y,0,32A 321 320 +ET,2220,FRA,340,JED,2072,Y,0,333 +ET,2220,FRA,340,JFK,3797,Y,0,388 +ET,2220,FRA,340,LIS,1638,Y,0,321 32A +ET,2220,FRA,340,LYS,1335,Y,0,319 321 +ET,2220,FRA,340,MAD,1229,Y,0,321 319 32A +ET,2220,FRA,340,MRS,1353,Y,0,320 32A 319 +ET,2220,FRA,340,MUC,346,Y,0,320 319 +ET,2220,FRA,340,MXP,1524,Y,0,320 319 321 +ET,2220,FRA,340,OSL,644,Y,0,32A +ET,2220,FRA,340,OTP,1657,Y,0,32A 320 319 +ET,2220,FRA,340,PRG,1587,Y,0,321 +ET,2220,FRA,340,TLS,1273,Y,0,733 +ET,2220,FRA,340,TXL,351,Y,0,321 320 32A +ET,2220,FRA,340,VIE,1613,Y,0,321 +ET,2220,FRA,340,WAW,679,Y,0,321 320 32A 319 +ET,2220,FRA,340,ZRH,1678,Y,0,319 +ET,2220,GDE,5680,JIJ,7417,,0,DH8 +ET,2220,GDQ,1114,ADD,1107,,0,DH8 +ET,2220,GDQ,1114,LLI,1117,,0,DH8 +ET,2220,GIG,2560,GRU,2564,,0,788 +ET,2220,GMB,1113,ADD,1107,,0,DH8 +ET,2220,GMB,1113,ASO,1119,,0,DH8 +ET,2220,GOT,687,FRA,340,Y,0,319 733 +ET,2220,GRU,2564,LFW,298,,0,788 +ET,2220,GVA,1665,FRA,340,Y,0,735 +ET,2220,HEL,421,ARN,737,,0,717 +ET,2220,HEL,421,FRA,340,Y,0,32A 321 +ET,2220,HGA,1121,ADD,1107,,0,DH8 +ET,2220,HKG,3077,ADD,1107,,0,763 788 +ET,2220,HKG,3077,ICN,3930,,0,788 +ET,2220,HRE,1005,ADD,1107,,0,788 +ET,2220,HRE,1005,LLW,1016,,0,DH8 +ET,2220,HRE,1005,LUN,907,,0,788 +ET,2220,IAD,3714,ADD,1107,,0,77L 788 +ET,2220,ICN,3930,BKK,3885,Y,0,333 772 +ET,2220,ICN,3930,HKG,3077,,0,788 +ET,2220,JED,2072,ADD,1107,,0,738 752 +ET,2220,JED,2072,FRA,340,Y,0,333 +ET,2220,JFK,3797,FRA,340,Y,0,744 +ET,2220,JIB,4119,ADD,1107,,0,73W DH8 +ET,2220,JIB,4119,DIR,1112,,0,DH8 73W +ET,2220,JIJ,7417,ADD,1107,,0,DH8 +ET,2220,JIJ,7417,DIR,1112,,0,DH8 +ET,2220,JIJ,7417,GDE,5680,,0,DH8 +ET,2220,JIM,1116,ADD,1107,,0,DH8 +ET,2220,JIM,1116,AMH,1109,,0,DH8 +ET,2220,JNB,813,ADD,1107,,0,77L +ET,2220,JNB,813,BLZ,1013,,0,738 +ET,2220,JNB,813,WDH,4105,Y,0,319 320 738 +ET,2220,JRO,1180,ADD,1107,,0,DH8 763 +ET,2220,JRO,1180,ZNZ,1186,,0,763 +ET,2220,JUB,1173,ADD,1107,,0,DH8 73W +ET,2220,KGL,1165,ADD,1107,,0,73W 738 +ET,2220,KGL,1165,BJM,1120,,0,738 +ET,2220,KRT,1175,ADD,1107,,0,738 DH8 +ET,2220,KUL,3304,BKK,3885,,0,763 +ET,2220,KWI,2176,ADD,1107,,0,738 +ET,2220,LAD,951,ADD,1107,,0,77W +ET,2220,LBV,970,ADD,1107,,0,738 +ET,2220,LBV,970,FIH,1020,Y,0,73W +ET,2220,LBV,970,LFW,298,Y,0,DH8 73W +ET,2220,LBV,970,LOS,273,Y,0,73W +ET,2220,LBV,970,NSI,4161,Y,0,73W +ET,2220,LBV,970,PNR,886,Y,0,DH8 +ET,2220,LCA,1197,CAI,1128,Y,0,E70 +ET,2220,LFW,298,ABJ,253,,0,DH8 +ET,2220,LFW,298,ABV,260,Y,0,DH8 +ET,2220,LFW,298,ACC,248,Y,0,DH8 +ET,2220,LFW,298,ADD,1107,,0,73W 788 +ET,2220,LFW,298,BKO,1044,Y,0,73W +ET,2220,LFW,298,CKY,4162,Y,0,73W +ET,2220,LFW,298,COO,245,Y,0,DH8 +ET,2220,LFW,298,DLA,897,Y,0,73W DH8 +ET,2220,LFW,298,GIG,2560,,0,788 +ET,2220,LFW,298,LBV,970,Y,0,73W DH8 +ET,2220,LFW,298,LOS,273,,0,73W +ET,2220,LFW,298,OUA,246,Y,0,DH8 73W +ET,2220,LHR,507,ADD,1107,,0,788 77L +ET,2220,LHR,507,YYZ,193,,0,77L +ET,2220,LIS,1638,FRA,340,Y,0,321 +ET,2220,LLI,1117,ADD,1107,,0,DH8 +ET,2220,LLI,1117,AXU,1110,,0,DH8 +ET,2220,LLI,1117,GDQ,1114,,0,DH8 +ET,2220,LLW,1016,BLZ,1013,,0,738 DH8 +ET,2220,LLW,1016,DAR,1177,,0,DH8 +ET,2220,LLW,1016,HRE,1005,,0,DH8 +ET,2220,LLW,1016,LUN,907,,0,DH8 +ET,2220,LOS,273,ABJ,253,Y,0,DH8 +ET,2220,LOS,273,ADD,1107,,0,77L +ET,2220,LOS,273,LBV,970,Y,0,73W +ET,2220,LOS,273,LFW,298,,0,73W +ET,2220,LUN,907,ADD,1107,,0,788 +ET,2220,LUN,907,BLZ,1013,,0,DH8 +ET,2220,LUN,907,HRE,1005,,0,788 +ET,2220,LUN,907,LLW,1016,,0,DH8 +ET,2220,LYS,1335,FRA,340,Y,0,733 32A 321 +ET,2220,MAD,1229,FRA,340,Y,0,321 320 +ET,2220,MBA,1145,ADD,1107,,0,738 +ET,2220,MBA,1145,JRO,1180,,0,DH8 +ET,2220,MCT,2194,ADD,1107,,0,73W +ET,2220,MEL,3339,SIN,3316,,0,388 +ET,2220,MLW,1062,ACC,248,Y,0,DH8 +ET,2220,MLW,1062,FNA,1059,Y,0,DH8 +ET,2220,MPM,979,ADD,1107,,0,73W 738 +ET,2220,MQX,1118,ADD,1107,,0,738 DH8 73W +ET,2220,MQX,1118,SHC,5601,,0,DH8 +ET,2220,MQX,1118,SZE,\N,,0,DH8 +ET,2220,MRS,1353,FRA,340,Y,0,320 32A 319 +ET,2220,MUC,346,FRA,340,Y,0,320 319 +ET,2220,MXP,1524,FCO,1555,,0,763 +ET,2220,MXP,1524,FRA,340,Y,0,321 319 32A 320 +ET,2220,NBO,4059,ADD,1107,,0,738 763 +ET,2220,NDJ,999,ABV,260,Y,0,DH8 +ET,2220,NDJ,999,ADD,1107,,0,738 752 763 +ET,2220,NDJ,999,DLA,897,Y,0,73W +ET,2220,NDJ,999,NIM,280,Y,0,DH8 +ET,2220,NIM,280,ABV,260,Y,0,DH8 +ET,2220,NIM,280,ADD,1107,,0,752 +ET,2220,NIM,280,COO,245,Y,0,DH8 +ET,2220,NIM,280,NDJ,999,Y,0,DH8 +ET,2220,NIM,280,OUA,246,,0,752 +ET,2220,NLA,910,ADD,1107,,0,738 73W +ET,2220,NSI,4161,LBV,970,Y,0,73W +ET,2220,OSL,644,ARN,737,,0,736 73W 738 +ET,2220,OSL,644,FRA,340,Y,0,319 320 32A +ET,2220,OTP,1657,FRA,340,Y,0,733 +ET,2220,OUA,246,ABJ,253,,0,752 +ET,2220,OUA,246,ADD,1107,,0,752 +ET,2220,OUA,246,BKO,1044,Y,0,DH8 +ET,2220,OUA,246,LFW,298,Y,0,73W DH8 +ET,2220,OUA,246,NIM,280,,0,752 +ET,2220,OXB,5665,CKY,4162,,0,DH8 +ET,2220,PEK,3364,ADD,1107,,0,77L +ET,2220,PER,3351,SIN,3316,,0,772 +ET,2220,PNR,886,ADD,1107,,0,738 +ET,2220,PNR,886,LBV,970,Y,0,DH8 +ET,2220,PRG,1587,FRA,340,Y,0,320 321 +ET,2220,PVG,3406,ADD,1107,,0,77L 788 +ET,2220,RUH,2082,ADD,1107,,0,738 +ET,2220,SHC,5601,MQX,1118,,0,DH8 +ET,2220,SIN,3316,ADL,3341,,0,333 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+FL,1316,SDF,4014,BWI,3849,Y,0,73W +FL,1316,SDF,4014,MCO,3878,Y,0,73W +FL,1316,SDF,4014,MDW,3747,Y,0,73W +FL,1316,SEA,3577,BWI,3849,Y,0,73W +FL,1316,SEA,3577,DEN,3751,Y,0,73W +FL,1316,SEA,3577,LAS,3877,Y,0,73W +FL,1316,SEA,3577,MDW,3747,Y,0,73W 73H +FL,1316,SEA,3577,MKE,3717,Y,0,73W +FL,1316,SEA,3577,OAK,3453,Y,0,73W +FL,1316,SEA,3577,PHX,3462,Y,0,73C +FL,1316,SEA,3577,SAN,3731,Y,0,73C +FL,1316,SEA,3577,SLC,3536,Y,0,73W +FL,1316,SEA,3577,SMF,3817,Y,0,73W +FL,1316,SFO,3469,ATL,3682,,0,73G +FL,1316,SFO,3469,DEN,3751,Y,0,73W +FL,1316,SFO,3469,MDW,3747,Y,0,73W +FL,1316,SFO,3469,MKE,3717,Y,0,73W +FL,1316,SFO,3469,ORF,3611,Y,0,73W +FL,1316,SJC,3748,DEN,3751,Y,0,73W +FL,1316,SJC,3748,LAS,3877,Y,0,73C 73W +FL,1316,SJC,3748,LAX,3484,Y,0,73W +FL,1316,SJC,3748,SAN,3731,Y,0,73W +FL,1316,SJD,1840,DEN,3751,,0,73G +FL,1316,SJD,1840,SNA,3867,,0,73G +FL,1316,SJU,2890,ATL,3682,Y,0,73W +FL,1316,SJU,2890,FLL,3533,Y,0,73W +FL,1316,SJU,2890,MCO,3878,Y,0,738 +FL,1316,SJU,2890,ONT,3734,Y,0,73H +FL,1316,SLC,3536,BWI,3849,Y,0,73W +FL,1316,SLC,3536,LAS,3877,Y,0,73C +FL,1316,SLC,3536,MDW,3747,Y,0,73H +FL,1316,SLC,3536,MHT,4011,Y,0,73W +FL,1316,SLC,3536,OAK,3453,Y,0,73W +FL,1316,SLC,3536,PDX,3720,Y,0,733 +FL,1316,SLC,3536,SEA,3577,Y,0,73W 73C +FL,1316,SLC,3536,TUS,3636,Y,0,73W +FL,1316,SMF,3817,DEN,3751,Y,0,73C 73H +FL,1316,SMF,3817,LAS,3877,Y,0,73W 73C +FL,1316,SMF,3817,LAX,3484,Y,0,73W +FL,1316,SMF,3817,PHX,3462,Y,0,73W +FL,1316,SMF,3817,SAN,3731,Y,0,73W +FL,1316,SMF,3817,SEA,3577,Y,0,73W +FL,1316,SMF,3817,SNA,3867,Y,0,73W +FL,1316,SNA,3867,DEN,3751,Y,0,73W +FL,1316,SNA,3867,LAS,3877,,0,73G +FL,1316,SNA,3867,MEX,1824,,0,73G +FL,1316,SNA,3867,OAK,3453,Y,0,73W +FL,1316,SNA,3867,PHX,3462,Y,0,73W +FL,1316,SNA,3867,SFO,3469,Y,0,73W +FL,1316,SNA,3867,SJD,1840,,0,73G +FL,1316,STL,3678,ATL,3682,,0,717 +FL,1316,STL,3678,BNA,3690,Y,0,73C +FL,1316,STL,3678,BWI,3849,Y,0,73W +FL,1316,STL,3678,CMH,3759,Y,0,73W +FL,1316,STL,3678,DAL,3502,Y,0,73W +FL,1316,STL,3678,DEN,3751,Y,0,73C +FL,1316,STL,3678,DFW,3670,Y,0,73W +FL,1316,STL,3678,DTW,3645,Y,0,73C +FL,1316,STL,3678,FLL,3533,Y,0,73W +FL,1316,STL,3678,GRR,3685,Y,0,73W +FL,1316,STL,3678,LAS,3877,Y,0,73C +FL,1316,STL,3678,LAX,3484,Y,0,73W +FL,1316,STL,3678,MCI,3458,Y,0,73C +FL,1316,STL,3678,MDW,3747,Y,0,73H 73W 73C +FL,1316,STL,3678,MKE,3717,Y,0,73W +FL,1316,STL,3678,MSP,3858,Y,0,73W +FL,1316,STL,3678,MSY,3861,Y,0,73W +FL,1316,STL,3678,OKC,3863,Y,0,73C +FL,1316,STL,3678,OMA,3454,Y,0,73W +FL,1316,STL,3678,PHL,3752,Y,0,73C +FL,1316,STL,3678,RDU,3626,Y,0,73W +FL,1316,STL,3678,SAT,3621,Y,0,73C +FL,1316,STL,3678,TPA,3646,Y,0,73W +FL,1316,TPA,3646,ALB,3864,Y,0,73W +FL,1316,TPA,3646,ATL,3682,,0,717 +FL,1316,TPA,3646,BDL,3825,Y,0,73C +FL,1316,TPA,3646,BHM,3811,Y,0,73W +FL,1316,TPA,3646,BWI,3849,,0,717 +FL,1316,TPA,3646,CAK,4112,,0,717 +FL,1316,TPA,3646,CMH,3759,Y,0,73W +FL,1316,TPA,3646,DAY,3627,,0,717 +FL,1316,TPA,3646,EYW,3875,Y,0,73W +FL,1316,TPA,3646,FLL,3533,Y,0,73W +FL,1316,TPA,3646,HOU,3566,Y,0,73W 73C +FL,1316,TPA,3646,IND,3585,,0,717 +FL,1316,TPA,3646,ISP,3857,Y,0,73W +FL,1316,TPA,3646,MCI,3458,Y,0,73C +FL,1316,TPA,3646,MDW,3747,Y,0,73W +FL,1316,TPA,3646,MKE,3717,Y,0,73C +FL,1316,TPA,3646,MSY,3861,Y,0,73W 733 +FL,1316,TPA,3646,PDX,3720,Y,0,73H +FL,1316,TPA,3646,PHX,3462,Y,0,73W +FL,1316,TPA,3646,PIT,3570,,0,717 +FL,1316,TPA,3646,PVD,3641,Y,0,73W 73H +FL,1316,TPA,3646,RDU,3626,Y,0,73W +FL,1316,TPA,3646,SAT,3621,Y,0,73W +FL,1316,TPA,3646,SEA,3577,Y,0,73W +FL,1316,TPA,3646,SJU,2890,Y,0,738 73H +FL,1316,TPA,3646,STL,3678,Y,0,73C +FL,1316,TUL,3855,DEN,3751,Y,0,73W +FL,1316,TUS,3636,LAS,3877,Y,0,73W +FL,1316,TUS,3636,LAX,3484,Y,0,73C +FL,1316,TUS,3636,MDW,3747,Y,0,73H +FL,1316,TUS,3636,SJC,3748,Y,0,73W +FM,4609,AOG,\N,PVG,3406,,0,737 +FM,4609,BAV,6346,SHA,3391,,0,738 737 +FM,4609,BKK,3885,PVG,3406,,0,738 757 +FM,4609,CAN,3370,HGH,3386,,0,738 +FM,4609,CAN,3370,NKG,3388,,0,738 +FM,4609,CAN,3370,PVG,3406,,0,738 757 +FM,4609,CAN,3370,SHA,3391,,0,738 333 757 +FM,4609,CAN,3370,WNZ,6392,,0,738 +FM,4609,CAN,3370,XMN,3383,,0,738 +FM,4609,CGO,3375,HGH,3386,,0,738 +FM,4609,CGO,3375,PVG,3406,,0,738 +FM,4609,CGO,3375,SHA,3391,,0,738 +FM,4609,CGQ,4380,PVG,3406,,0,738 +FM,4609,CKG,3393,SHA,3391,,0,738 737 +FM,4609,CKG,3393,TXN,6387,,0,737 +FM,4609,CSX,3371,SHA,3391,,0,738 737 +FM,4609,CTU,3395,PVG,3406,,0,738 +FM,4609,CTU,3395,SHA,3391,,0,757 737 738 +FM,4609,CTU,3395,TXN,6387,,0,737 +FM,4609,DDG,6433,TAO,3390,,0,737 +FM,4609,DLC,3404,PVG,3406,,0,738 737 +FM,4609,DSN,6434,XIY,3379,,0,737 +FM,4609,DYG,6353,PVG,3406,,0,738 +FM,4609,FOC,3385,SHA,3391,,0,738 +FM,4609,FUG,7503,SHA,3391,,0,737 +FM,4609,GMP,2378,SHA,3391,,0,333 +FM,4609,HAK,4120,PVG,3406,,0,738 +FM,4609,HET,6345,HLD,3366,,0,738 +FM,4609,HET,6345,SHA,3391,,0,738 +FM,4609,HGH,3386,CAN,3370,,0,738 +FM,4609,HGH,3386,CGO,3375,,0,738 +FM,4609,HGH,3386,HKG,3077,Y,0,320 +FM,4609,HGH,3386,PEK,3364,,0,757 +FM,4609,HKG,3077,HGH,3386,Y,0,320 +FM,4609,HKG,3077,NGB,3387,Y,0,320 +FM,4609,HKG,3077,NKG,3388,Y,0,321 +FM,4609,HKG,3077,PVG,3406,,0,330 738 +FM,4609,HKG,3077,SHA,3391,,0,333 +FM,4609,HKT,3179,PVG,3406,,0,757 738 +FM,4609,HLD,3366,HET,6345,,0,738 +FM,4609,HND,2359,SHA,3391,,0,333 +FM,4609,HRB,3400,PVG,3406,,0,738 +FM,4609,HTN,3398,URC,3399,,0,738 +FM,4609,ICN,3930,PVG,3406,,0,738 +FM,4609,INC,4085,PVG,3406,,0,738 +FM,4609,JGS,6428,SHA,3391,,0,738 +FM,4609,JHG,4055,KMG,3382,,0,737 +FM,4609,JMU,6411,TAO,3390,,0,737 +FM,4609,JNG,6944,SHA,3391,,0,737 +FM,4609,JNZ,6412,PVG,3406,,0,737 +FM,4609,JXA,8417,TAO,3390,,0,737 +FM,4609,KHN,3384,SHA,3391,,0,738 +FM,4609,KIX,3992,PVG,3406,,0,321 738 +FM,4609,KMG,3382,JHG,4055,,0,737 +FM,4609,KMG,3382,SHA,3391,,0,737 +FM,4609,KWE,3394,PVG,3406,,0,737 738 +FM,4609,KWE,3394,SHA,3391,,0,738 +FM,4609,KWL,3372,PVG,3406,,0,738 757 +FM,4609,KWL,3372,SHA,3391,,0,737 +FM,4609,LHW,6431,SHA,3391,,0,738 +FM,4609,LYG,6383,SHA,3391,,0,738 737 +FM,4609,LYI,6385,SHA,3391,,0,737 +FM,4609,MFM,3121,PVG,3406,Y,0,321 +FM,4609,MFM,3121,SHA,3391,,0,738 +FM,4609,MIG,6400,PVG,3406,,0,738 +FM,4609,NDG,6413,TAO,3390,,0,737 +FM,4609,NGB,3387,HKG,3077,Y,0,320 +FM,4609,NKG,3388,CAN,3370,,0,738 +FM,4609,NKG,3388,HKG,3077,Y,0,321 +FM,4609,NNG,3373,PVG,3406,,0,738 +FM,4609,NNG,3373,SHA,3391,,0,738 737 +FM,4609,PEK,3364,HGH,3386,,0,757 +FM,4609,PEK,3364,SHA,3391,,0,738 757 +FM,4609,PUS,2372,PVG,3406,,0,738 739 +FM,4609,PUS,2372,TAO,3390,Y,0,737 +FM,4609,PVG,3406,AOG,\N,,0,737 +FM,4609,PVG,3406,BKK,3885,,0,757 738 +FM,4609,PVG,3406,CAN,3370,,0,757 738 +FM,4609,PVG,3406,CGO,3375,,0,738 +FM,4609,PVG,3406,CGQ,4380,,0,738 +FM,4609,PVG,3406,CTU,3395,,0,738 +FM,4609,PVG,3406,DLC,3404,,0,738 737 +FM,4609,PVG,3406,DYG,6353,,0,738 +FM,4609,PVG,3406,HAK,4120,,0,738 +FM,4609,PVG,3406,HKG,3077,,0,330 738 +FM,4609,PVG,3406,HKT,3179,,0,757 738 +FM,4609,PVG,3406,HRB,3400,,0,738 +FM,4609,PVG,3406,ICN,3930,,0,738 +FM,4609,PVG,3406,INC,4085,,0,738 +FM,4609,PVG,3406,JNZ,6412,,0,737 +FM,4609,PVG,3406,KIX,3992,,0,321 738 +FM,4609,PVG,3406,KWE,3394,,0,738 737 +FM,4609,PVG,3406,KWL,3372,,0,757 738 +FM,4609,PVG,3406,MFM,3121,Y,0,321 +FM,4609,PVG,3406,MIG,6400,,0,738 +FM,4609,PVG,3406,NNG,3373,,0,738 +FM,4609,PVG,3406,PUS,2372,,0,738 739 +FM,4609,PVG,3406,SHE,4144,,0,737 738 +FM,4609,PVG,3406,SHP,6429,,0,737 +FM,4609,PVG,3406,SWA,4302,,0,738 +FM,4609,PVG,3406,SYX,4030,,0,757 +FM,4609,PVG,3406,TOY,2324,,0,738 +FM,4609,PVG,3406,TSA,2275,,0,738 +FM,4609,PVG,3406,TSN,3368,,0,738 +FM,4609,PVG,3406,TVS,8858,,0,738 +FM,4609,PVG,3406,WUH,3376,,0,738 +FM,4609,PVG,3406,WXN,6403,,0,737 +FM,4609,PVG,3406,XIY,3379,,0,738 737 +FM,4609,PVG,3406,XMN,3383,,0,738 +FM,4609,PVG,3406,YCU,6430,,0,738 +FM,4609,PVG,3406,ZHA,6357,,0,737 +FM,4609,PVG,3406,ZUH,6355,,0,738 +FM,4609,SHA,3391,BAV,6346,,0,738 737 +FM,4609,SHA,3391,CAN,3370,,0,333 738 757 +FM,4609,SHA,3391,CGO,3375,,0,738 +FM,4609,SHA,3391,CKG,3393,,0,738 737 +FM,4609,SHA,3391,CSX,3371,,0,738 737 +FM,4609,SHA,3391,CTU,3395,,0,757 737 738 +FM,4609,SHA,3391,FOC,3385,,0,738 +FM,4609,SHA,3391,FUG,7503,,0,737 +FM,4609,SHA,3391,GMP,2378,,0,333 +FM,4609,SHA,3391,HET,6345,,0,738 +FM,4609,SHA,3391,HKG,3077,,0,333 +FM,4609,SHA,3391,HND,2359,,0,333 +FM,4609,SHA,3391,JGS,6428,,0,738 +FM,4609,SHA,3391,JNG,6944,,0,737 +FM,4609,SHA,3391,KHN,3384,,0,738 +FM,4609,SHA,3391,KMG,3382,,0,737 +FM,4609,SHA,3391,KWE,3394,,0,738 +FM,4609,SHA,3391,KWL,3372,,0,737 +FM,4609,SHA,3391,LHW,6431,,0,738 +FM,4609,SHA,3391,LYG,6383,,0,738 737 +FM,4609,SHA,3391,LYI,6385,,0,737 +FM,4609,SHA,3391,MFM,3121,,0,738 +FM,4609,SHA,3391,NNG,3373,,0,738 737 +FM,4609,SHA,3391,PEK,3364,,0,757 738 +FM,4609,SHA,3391,SHE,4144,,0,738 +FM,4609,SHA,3391,SJW,6347,,0,738 737 +FM,4609,SHA,3391,SWA,4302,,0,738 +FM,4609,SHA,3391,SZX,3374,,0,333 738 +FM,4609,SHA,3391,TAO,3390,,0,737 +FM,4609,SHA,3391,TSA,2275,,0,333 +FM,4609,SHA,3391,TSN,3368,,0,738 737 +FM,4609,SHA,3391,TXN,6387,,0,737 +FM,4609,SHA,3391,TYN,3369,,0,738 +FM,4609,SHA,3391,URC,3399,,0,738 +FM,4609,SHA,3391,WNZ,6392,,0,737 +FM,4609,SHA,3391,WUH,3376,,0,738 +FM,4609,SHA,3391,XIY,3379,,0,737 +FM,4609,SHA,3391,XMN,3383,,0,737 757 738 +FM,4609,SHA,3391,YIH,6361,,0,737 +FM,4609,SHA,3391,YNT,3392,,0,737 +FM,4609,SHE,4144,PVG,3406,,0,737 738 +FM,4609,SHE,4144,SHA,3391,,0,738 +FM,4609,SHP,6429,PVG,3406,,0,737 +FM,4609,SJW,6347,SHA,3391,,0,738 737 +FM,4609,SWA,4302,SHA,3391,,0,738 +FM,4609,SYX,4030,PVG,3406,,0,757 +FM,4609,SZX,3374,SHA,3391,,0,333 738 +FM,4609,TAO,3390,DDG,6433,,0,737 +FM,4609,TAO,3390,JMU,6411,,0,737 +FM,4609,TAO,3390,JXA,8417,,0,737 +FM,4609,TAO,3390,NDG,6413,,0,737 +FM,4609,TAO,3390,PUS,2372,Y,0,737 +FM,4609,TAO,3390,SHA,3391,,0,737 +FM,4609,TOY,2324,PVG,3406,,0,738 +FM,4609,TSA,2275,PVG,3406,,0,738 +FM,4609,TSA,2275,SHA,3391,,0,333 +FM,4609,TSN,3368,PVG,3406,,0,738 +FM,4609,TSN,3368,SHA,3391,,0,738 737 +FM,4609,TVS,8858,PVG,3406,,0,738 +FM,4609,TXN,6387,CKG,3393,,0,737 +FM,4609,TXN,6387,CTU,3395,,0,737 +FM,4609,TXN,6387,SHA,3391,,0,737 +FM,4609,TYN,3369,SHA,3391,,0,738 +FM,4609,URC,3399,HTN,3398,,0,738 +FM,4609,URC,3399,SHA,3391,,0,738 +FM,4609,WNZ,6392,CAN,3370,,0,738 +FM,4609,WNZ,6392,SHA,3391,,0,737 +FM,4609,WUH,3376,PVG,3406,,0,738 +FM,4609,WUH,3376,SHA,3391,,0,738 +FM,4609,WXN,6403,PVG,3406,,0,737 +FM,4609,XIY,3379,DSN,6434,,0,737 +FM,4609,XIY,3379,PVG,3406,,0,738 737 +FM,4609,XIY,3379,SHA,3391,,0,737 +FM,4609,XMN,3383,CAN,3370,,0,738 +FM,4609,XMN,3383,PVG,3406,,0,738 +FM,4609,XMN,3383,SHA,3391,,0,737 757 738 +FM,4609,YCU,6430,PVG,3406,,0,738 +FM,4609,YIH,6361,SHA,3391,,0,737 +FM,4609,YNT,3392,SHA,3391,,0,737 +FM,4609,ZHA,6357,PVG,3406,,0,737 +FM,4609,ZUH,6355,PVG,3406,,0,738 +FO,476,AAY,3979,SAH,3980,,0,CR7 +FO,476,ADE,3977,AHB,2059,,0,CR7 +FO,476,ADE,3977,DMM,2064,,0,CR7 +FO,476,ADE,3977,GXF,5954,,0,CR7 +FO,476,ADE,3977,MGQ,5687,,0,CR7 +FO,476,ADE,3977,RIY,3974,,0,CR7 +FO,476,ADE,3977,SAH,3980,,0,CR7 +FO,476,ADE,3977,SHJ,2191,,0,CR7 +FO,476,AHB,2059,ADE,3977,,0,CR7 +FO,476,AHB,2059,SAH,3980,,0,CR7 +FO,476,AXK,3978,SAH,3980,,0,CR7 +FO,476,DMM,2064,ADE,3977,,0,CR7 +FO,476,DMM,2064,TAI,3975,,0,CR7 +FO,476,GXF,5954,ADE,3977,,0,CR7 +FO,476,GXF,5954,SAH,3980,,0,CR7 +FO,476,HOD,3976,SAH,3980,,0,CR7 +FO,476,JIB,4119,SAH,3980,,0,CR7 +FO,476,JIB,4119,TAI,3975,,0,CR7 +FO,476,RIY,3974,ADE,3977,,0,CR7 +FO,476,RIY,3974,SAH,3980,,0,CR7 +FO,476,RIY,3974,SCT,3984,,0,CR7 +FO,476,RIY,3974,SHJ,2191,,0,CR7 +FO,476,SAH,3980,AAY,3979,,0,CR7 +FO,476,SAH,3980,ADE,3977,,0,CR7 +FO,476,SAH,3980,AXK,3978,,0,CR7 +FO,476,SAH,3980,GXF,5954,,0,CR7 +FO,476,SAH,3980,HOD,3976,,0,CR7 +FO,476,SAH,3980,RIY,3974,,0,CR7 +FO,476,SAH,3980,TAI,3975,,0,CR7 +FO,476,SCT,3984,RIY,3974,,0,CR7 +FO,476,SHJ,2191,ADE,3977,,0,CR7 +FO,476,TAI,3975,DMM,2064,,0,CR7 +FO,476,TAI,3975,JIB,4119,,0,CR7 +FO,476,TAI,3975,SAH,3980,,0,CR7 +FR,4296,AAR,607,AGP,1230,,0,738 +FR,4296,AAR,607,PMI,3998,,0,738 +FR,4296,AAR,607,STN,548,,0,738 +FR,4296,ACE,1055,BCN,1218,,0,738 +FR,4296,ACE,1055,BGY,1525,,0,738 +FR,4296,ACE,1055,BHX,469,,0,738 +FR,4296,ACE,1055,BLQ,1538,,0,738 +FR,4296,ACE,1055,BOH,494,,0,738 +FR,4296,ACE,1055,BRS,490,,0,738 +FR,4296,ACE,1055,BVA,1367,,0,738 +FR,4296,ACE,1055,CRL,304,,0,738 +FR,4296,ACE,1055,DUB,599,,0,738 +FR,4296,ACE,1055,EDI,535,,0,738 +FR,4296,ACE,1055,EIN,585,,0,738 +FR,4296,ACE,1055,EMA,523,,0,738 +FR,4296,ACE,1055,FKB,4166,,0,738 +FR,4296,ACE,1055,HHN,355,,0,738 +FR,4296,ACE,1055,LBA,517,,0,738 +FR,4296,ACE,1055,LPL,491,,0,738 +FR,4296,ACE,1055,LTN,492,,0,738 +FR,4296,ACE,1055,MAD,1229,,0,738 +FR,4296,ACE,1055,MAN,478,,0,738 +FR,4296,ACE,1055,NOC,600,,0,738 +FR,4296,ACE,1055,NRN,4198,,0,738 +FR,4296,ACE,1055,ORK,596,,0,738 +FR,4296,ACE,1055,PIK,537,,0,738 +FR,4296,ACE,1055,SCQ,1243,,0,738 +FR,4296,ACE,1055,SDR,1251,,0,738 +FR,4296,ACE,1055,SNN,603,,0,738 +FR,4296,ACE,1055,STN,548,,0,738 +FR,4296,ACE,1055,SVQ,1253,,0,738 +FR,4296,ACE,1055,ZAZ,1252,,0,738 +FR,4296,AGA,1064,CRL,304,,0,738 +FR,4296,AGA,1064,MRS,1353,,0,738 +FR,4296,AGP,1230,AAR,607,,0,738 +FR,4296,AGP,1230,BCN,1218,,0,738 +FR,4296,AGP,1230,BGY,1525,,0,738 +FR,4296,AGP,1230,BHX,469,,0,738 +FR,4296,AGP,1230,BLL,608,,0,738 +FR,4296,AGP,1230,BLQ,1538,,0,738 +FR,4296,AGP,1230,BOH,494,,0,738 +FR,4296,AGP,1230,BRE,353,,0,738 +FR,4296,AGP,1230,BRS,490,,0,738 +FR,4296,AGP,1230,BRU,302,,0,738 +FR,4296,AGP,1230,BTS,1745,,0,738 +FR,4296,AGP,1230,BVA,1367,,0,738 +FR,4296,AGP,1230,CGN,344,,0,738 +FR,4296,AGP,1230,CIA,1553,,0,738 +FR,4296,AGP,1230,CRL,304,,0,738 +FR,4296,AGP,1230,DTM,373,,0,738 +FR,4296,AGP,1230,DUB,599,,0,738 +FR,4296,AGP,1230,EDI,535,,0,738 +FR,4296,AGP,1230,EIN,585,,0,738 +FR,4296,AGP,1230,EMA,523,,0,738 +FR,4296,AGP,1230,FKB,4166,,0,738 +FR,4296,AGP,1230,FMM,3986,,0,738 +FR,4296,AGP,1230,FMO,341,,0,738 +FR,4296,AGP,1230,GSE,691,,0,738 +FR,4296,AGP,1230,HAU,645,,0,738 +FR,4296,AGP,1230,HHN,355,,0,738 +FR,4296,AGP,1230,IBZ,1225,,0,738 +FR,4296,AGP,1230,KRK,669,,0,738 +FR,4296,AGP,1230,LBA,517,,0,738 +FR,4296,AGP,1230,LPL,491,,0,738 +FR,4296,AGP,1230,MAN,478,,0,738 +FR,4296,AGP,1230,MMX,708,,0,738 +FR,4296,AGP,1230,MRS,1353,,0,738 +FR,4296,AGP,1230,NOC,600,,0,738 +FR,4296,AGP,1230,NRN,4198,,0,738 +FR,4296,AGP,1230,NUE,347,,0,738 +FR,4296,AGP,1230,NYO,699,,0,738 +FR,4296,AGP,1230,ORK,596,,0,738 +FR,4296,AGP,1230,PIK,537,,0,738 +FR,4296,AGP,1230,PMI,3998,,0,738 +FR,4296,AGP,1230,RYG,657,,0,738 +FR,4296,AGP,1230,SCQ,1243,,0,738 +FR,4296,AGP,1230,SDR,1251,,0,738 +FR,4296,AGP,1230,SNN,603,,0,738 +FR,4296,AGP,1230,STN,548,,0,738 +FR,4296,AGP,1230,TMP,458,,0,738 +FR,4296,AGP,1230,TRF,664,,0,738 +FR,4296,AGP,1230,TSF,1539,,0,738 +FR,4296,AGP,1230,VST,733,,0,738 +FR,4296,AGP,1230,WRO,680,,0,738 +FR,4296,AHO,1517,AOI,4309,,0,738 +FR,4296,AHO,1517,BGY,1525,,0,738 +FR,4296,AHO,1517,BLL,608,,0,738 +FR,4296,AHO,1517,BLQ,1538,,0,738 +FR,4296,AHO,1517,BTS,1745,,0,738 +FR,4296,AHO,1517,BVA,1367,,0,738 +FR,4296,AHO,1517,CIA,1553,,0,738 +FR,4296,AHO,1517,CRL,304,,0,738 +FR,4296,AHO,1517,CUF,1534,,0,738 +FR,4296,AHO,1517,DTM,373,,0,738 +FR,4296,AHO,1517,DUB,599,,0,738 +FR,4296,AHO,1517,EIN,585,,0,738 +FR,4296,AHO,1517,FMM,3986,,0,738 +FR,4296,AHO,1517,GRO,1222,,0,738 +FR,4296,AHO,1517,GSE,691,,0,738 +FR,4296,AHO,1517,HHN,355,,0,738 +FR,4296,AHO,1517,LTN,492,,0,738 +FR,4296,AHO,1517,MAD,1229,,0,738 +FR,4296,AHO,1517,NRN,4198,,0,738 +FR,4296,AHO,1517,NYO,699,,0,738 +FR,4296,AHO,1517,PMF,1531,,0,738 +FR,4296,AHO,1517,PSA,1562,,0,738 +FR,4296,AHO,1517,STN,548,,0,738 +FR,4296,AHO,1517,TRF,664,,0,738 +FR,4296,AHO,1517,TRS,1545,,0,738 +FR,4296,AHO,1517,TSF,1539,,0,738 +FR,4296,ALC,1212,BGY,1525,,0,738 +FR,4296,ALC,1212,BHX,469,,0,738 +FR,4296,ALC,1212,BLL,608,,0,738 +FR,4296,ALC,1212,BLQ,1538,,0,738 +FR,4296,ALC,1212,BOH,494,,0,738 +FR,4296,ALC,1212,BRE,353,,0,738 +FR,4296,ALC,1212,BRS,490,,0,738 +FR,4296,ALC,1212,BRU,302,,0,738 +FR,4296,ALC,1212,BVA,1367,,0,738 +FR,4296,ALC,1212,CRL,304,,0,738 +FR,4296,ALC,1212,DUB,599,,0,738 +FR,4296,ALC,1212,EDI,535,,0,738 +FR,4296,ALC,1212,EIN,585,,0,738 +FR,4296,ALC,1212,EMA,523,,0,738 +FR,4296,ALC,1212,FKB,4166,,0,738 +FR,4296,ALC,1212,FMM,3986,,0,738 +FR,4296,ALC,1212,GSE,691,,0,738 +FR,4296,ALC,1212,HAU,645,,0,738 +FR,4296,ALC,1212,HHN,355,,0,738 +FR,4296,ALC,1212,KIR,601,,0,738 +FR,4296,ALC,1212,KRK,669,,0,738 +FR,4296,ALC,1212,KTW,671,,0,738 +FR,4296,ALC,1212,KUN,3956,,0,738 +FR,4296,ALC,1212,LBA,517,,0,738 +FR,4296,ALC,1212,LPL,491,,0,738 +FR,4296,ALC,1212,MAN,478,,0,738 +FR,4296,ALC,1212,MST,582,,0,738 +FR,4296,ALC,1212,NOC,600,,0,738 +FR,4296,ALC,1212,NRN,4198,,0,738 +FR,4296,ALC,1212,NUE,347,,0,738 +FR,4296,ALC,1212,NYO,699,,0,738 +FR,4296,ALC,1212,PIK,537,,0,738 +FR,4296,ALC,1212,RYG,657,,0,738 +FR,4296,ALC,1212,SCQ,1243,,0,738 +FR,4296,ALC,1212,SNN,603,,0,738 +FR,4296,ALC,1212,STN,548,,0,738 +FR,4296,ALC,1212,TMP,458,,0,738 +FR,4296,ALC,1212,TRF,664,,0,738 +FR,4296,ALC,1212,VST,733,,0,738 +FR,4296,ALC,1212,VXO,711,,0,738 +FR,4296,ALC,1212,WMI,8414,,0,738 +FR,4296,ALC,1212,WRO,680,,0,738 +FR,4296,AOI,4309,AHO,1517,,0,738 +FR,4296,AOI,4309,CRL,304,,0,738 +FR,4296,AOI,4309,NRN,4198,,0,738 +FR,4296,AOI,4309,STN,548,,0,738 +FR,4296,AOI,4309,TPS,1515,,0,738 +FR,4296,ATH,3941,BGY,1525,,0,738 +FR,4296,ATH,3941,CHQ,1474,,0,738 +FR,4296,ATH,3941,PFO,1198,,0,738 +FR,4296,ATH,3941,RHO,1472,,0,738 +FR,4296,ATH,3941,SKG,1486,,0,738 +FR,4296,ATH,3941,STN,548,,0,738 +FR,4296,BCN,1218,ACE,1055,,0,738 +FR,4296,BCN,1218,AGP,1230,,0,738 +FR,4296,BCN,1218,BGY,1525,,0,738 +FR,4296,BCN,1218,BHX,469,,0,738 +FR,4296,BCN,1218,BLQ,1538,,0,738 +FR,4296,BCN,1218,BRU,302,,0,738 +FR,4296,BCN,1218,BUD,1489,,0,738 +FR,4296,BCN,1218,BVA,1367,,0,738 +FR,4296,BCN,1218,CIA,1553,,0,738 +FR,4296,BCN,1218,CRL,304,,0,738 +FR,4296,BCN,1218,DUB,599,,0,738 +FR,4296,BCN,1218,EDI,535,,0,738 +FR,4296,BCN,1218,EMA,523,,0,738 +FR,4296,BCN,1218,FCO,1555,,0,738 +FR,4296,BCN,1218,FEZ,1066,,0,738 +FR,4296,BCN,1218,FUE,1051,,0,738 +FR,4296,BCN,1218,IBZ,1225,,0,738 +FR,4296,BCN,1218,LPA,1054,,0,738 +FR,4296,BCN,1218,LPL,491,,0,738 +FR,4296,BCN,1218,MAH,1231,,0,738 +FR,4296,BCN,1218,MAN,478,,0,738 +FR,4296,BCN,1218,NDR,5673,,0,738 +FR,4296,BCN,1218,NYO,699,,0,738 +FR,4296,BCN,1218,OPO,1636,,0,738 +FR,4296,BCN,1218,PIK,537,,0,738 +FR,4296,BCN,1218,PMI,3998,,0,738 +FR,4296,BCN,1218,RYG,657,,0,738 +FR,4296,BCN,1218,SCQ,1243,,0,738 +FR,4296,BCN,1218,SDR,1251,,0,738 +FR,4296,BCN,1218,STN,548,,0,738 +FR,4296,BCN,1218,SVQ,1253,,0,738 +FR,4296,BCN,1218,TFN,1057,,0,738 +FR,4296,BCN,1218,TFS,1056,,0,738 +FR,4296,BCN,1218,TRN,1526,,0,738 +FR,4296,BCN,1218,TSF,1539,,0,738 +FR,4296,BCN,1218,VLL,1247,,0,738 +FR,4296,BCN,1218,VNO,3959,,0,738 +FR,4296,BCN,1218,WMI,8414,,0,738 +FR,4296,BCN,1218,XRY,1226,,0,738 +FR,4296,BDS,1506,BGY,1525,,0,738 +FR,4296,BDS,1506,BLQ,1538,,0,738 +FR,4296,BDS,1506,BVA,1367,,0,738 +FR,4296,BDS,1506,CIA,1553,,0,738 +FR,4296,BDS,1506,CRL,304,,0,738 +FR,4296,BDS,1506,EIN,585,,0,738 +FR,4296,BDS,1506,GRO,1222,,0,738 +FR,4296,BDS,1506,PSA,1562,,0,738 +FR,4296,BDS,1506,STN,548,,0,738 +FR,4296,BDS,1506,TRN,1526,,0,738 +FR,4296,BDS,1506,TSF,1539,,0,738 +FR,4296,BES,1403,MRS,1353,,0,738 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738 +G3,1790,BSB,2531,GIG,2560,,0,738 73G +G3,1790,BSB,2531,GRU,2564,,0,738 73G +G3,1790,BSB,2531,GYN,2562,,0,738 73G +G3,1790,BSB,2531,IMP,2572,,0,73G +G3,1790,BSB,2531,JPA,2575,,0,738 +G3,1790,BSB,2531,MAB,2584,,0,738 73G +G3,1790,BSB,2531,MAO,2551,,0,738 73G +G3,1790,BSB,2531,MCZ,2590,,0,738 +G3,1790,BSB,2531,NAT,2597,,0,73G 738 +G3,1790,BSB,2531,PMW,4214,,0,738 73G +G3,1790,BSB,2531,POA,2599,,0,738 +G3,1790,BSB,2531,PVH,2607,,0,738 +G3,1790,BSB,2531,RBR,2609,,0,73G +G3,1790,BSB,2531,REC,2610,,0,738 +G3,1790,BSB,2531,SDU,2612,,0,738 73G +G3,1790,BSB,2531,SLZ,2616,,0,738 +G3,1790,BSB,2531,SSA,2621,,0,738 +G3,1790,BSB,2531,THE,2623,,0,73G 738 +G3,1790,BSB,2531,VCP,2578,,0,738 +G3,1790,BVB,2533,MAO,2551,,0,738 73G +G3,1790,CCS,2851,AUA,2895,,0,738 +G3,1790,CCS,2851,GRU,2564,,0,738 +G3,1790,CCS,2851,PUJ,1760,,0,738 +G3,1790,CGB,2548,BSB,2531,,0,738 +G3,1790,CGB,2548,CGH,2618,,0,738 +G3,1790,CGB,2548,CGR,2538,,0,738 +G3,1790,CGB,2548,GIG,2560,,0,738 +G3,1790,CGB,2548,GRU,2564,,0,738 73G 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320 +HX,2773,HKG,3077,KOJ,2307,,0,320 +HX,2773,HKG,3077,KWE,3394,,0,320 +HX,2773,HKG,3077,KWL,3372,,0,320 +HX,2773,HKG,3077,NKG,3388,,0,332 +HX,2773,HKG,3077,NNG,3373,,0,320 +HX,2773,HKG,3077,OKA,2384,,0,332 333 +HX,2773,HKG,3077,PEK,3364,,0,333 332 320 +HX,2773,HKG,3077,PVG,3406,,0,332 333 738 +HX,2773,HKG,3077,SGN,3205,,0,320 +HX,2773,HKG,3077,SHA,3391,,0,333 +HX,2773,HKG,3077,SYX,4030,,0,320 +HX,2773,HKG,3077,TPE,2276,,0,333 332 +HX,2773,HKG,3077,TSN,3368,,0,320 +HX,2773,HKG,3077,TYN,3369,,0,320 +HX,2773,HKG,3077,XMN,3383,,0,320 +HX,2773,HKG,3077,XUZ,4149,,0,320 +HX,2773,HRB,3400,HKG,3077,,0,320 +HX,2773,KOJ,2307,HKG,3077,,0,320 +HX,2773,KWE,3394,HKG,3077,,0,320 +HX,2773,KWL,3372,HKG,3077,,0,320 +HX,2773,NKG,3388,HKG,3077,,0,332 +HX,2773,NNG,3373,HKG,3077,,0,320 +HX,2773,OKA,2384,HKG,3077,,0,332 333 +HX,2773,PEK,3364,HKG,3077,,0,320 332 333 +HX,2773,PVG,3406,HKG,3077,,0,332 333 738 +HX,2773,SGN,3205,HKG,3077,,0,320 +HX,2773,SHA,3391,HKG,3077,,0,333 +HX,2773,SYX,4030,HKG,3077,,0,320 +HX,2773,TPE,2276,HKG,3077,,0,333 332 +HX,2773,TSN,3368,HKG,3077,,0,320 +HX,2773,TYN,3369,HKG,3077,,0,320 +HX,2773,XMN,3383,HKG,3077,,0,320 +HX,2773,XUZ,4149,HKG,3077,,0,320 +HY,5281,AER,2965,TAS,2983,,0,767 +HY,5281,ALA,2908,TAS,2983,,0,320 +HY,5281,ATQ,3081,TAS,2983,,0,320 +HY,5281,AZN,6148,DME,4029,,0,757 +HY,5281,AZN,6148,LED,2948,,0,757 +HY,5281,AZN,6148,TAS,2983,,0,757 +HY,5281,BHK,2980,DME,4029,,0,320 757 +HY,5281,BHK,2980,LED,2948,,0,757 +HY,5281,BHK,2980,TAS,2983,,0,I14 320 757 +HY,5281,BKK,3885,TAS,2983,,0,764 763 +HY,5281,CDG,1382,TAS,2983,,0,767 +HY,5281,CDG,1382,UGC,6152,,0,764 +HY,5281,DEL,3093,TAS,2983,,0,763 764 +HY,5281,DME,4029,AZN,6148,,0,757 +HY,5281,DME,4029,BHK,2980,,0,320 757 +HY,5281,DME,4029,FEG,6149,,0,320 +HY,5281,DME,4029,KSQ,6153,,0,320 +HY,5281,DME,4029,NCU,6151,,0,320 +HY,5281,DME,4029,NMA,6150,,0,752 320 +HY,5281,DME,4029,NVI,6485,,0,320 +HY,5281,DME,4029,SKD,2981,,0,757 320 +HY,5281,DME,4029,TAS,2983,,0,764 767 +HY,5281,DME,4029,TMJ,6154,,0,757 +HY,5281,DME,4029,UGC,6152,,0,763 320 +HY,5281,DXB,2188,TAS,2983,,0,763 +HY,5281,FCO,1555,TAS,2983,,0,764 +HY,5281,FEG,6149,DME,4029,,0,320 +HY,5281,FEG,6149,KZN,2990,,0,320 +HY,5281,FEG,6149,LED,2948,,0,757 +HY,5281,FEG,6149,TAS,2983,,0,757 320 +HY,5281,FRA,340,TAS,2983,,0,763 764 752 +HY,5281,FRU,2912,TAS,2983,,0,320 +HY,5281,GYD,2922,TAS,2983,,0,320 +HY,5281,ICN,3930,TAS,2983,,0,764 767 +HY,5281,IST,1701,TAS,2983,,0,767 +HY,5281,JFK,3797,RIX,3953,,0,763 764 +HY,5281,KBP,2939,TAS,2983,,0,763 764 +HY,5281,KGD,2952,TAS,2983,,0,752 +HY,5281,KJA,4374,TAS,2983,,0,320 +HY,5281,KRR,2960,TAS,2983,,0,320 +HY,5281,KSQ,6153,DME,4029,,0,320 +HY,5281,KSQ,6153,LED,2948,,0,320 +HY,5281,KSQ,6153,TAS,2983,,0,I14 320 +HY,5281,KUF,4118,TAS,2983,,0,320 +HY,5281,KUL,3304,SIN,3316,,0,764 +HY,5281,KUL,3304,TAS,2983,,0,764 +HY,5281,KZN,2990,FEG,6149,,0,320 +HY,5281,KZN,2990,SKD,2981,,0,320 +HY,5281,KZN,2990,TAS,2983,,0,320 +HY,5281,LED,2948,AZN,6148,,0,757 +HY,5281,LED,2948,BHK,2980,,0,757 +HY,5281,LED,2948,FEG,6149,,0,757 +HY,5281,LED,2948,KSQ,6153,,0,320 +HY,5281,LED,2948,NMA,6150,,0,752 +HY,5281,LED,2948,NVI,6485,,0,320 +HY,5281,LED,2948,SKD,2981,,0,757 320 +HY,5281,LED,2948,TAS,2983,,0,764 320 +HY,5281,LED,2948,UGC,6152,,0,320 +HY,5281,LHR,507,TAS,2983,,0,757 +HY,5281,MRV,2962,TAS,2983,,0,320 +HY,5281,MXP,1524,UGC,6152,,0,764 +HY,5281,NCU,6151,DME,4029,,0,320 +HY,5281,NCU,6151,TAS,2983,,0,I14 320 +HY,5281,NMA,6150,DME,4029,,0,752 320 +HY,5281,NMA,6150,LED,2948,,0,752 +HY,5281,NMA,6150,OVB,4078,,0,320 +HY,5281,NMA,6150,SVX,2975,,0,320 +HY,5281,NMA,6150,TAS,2983,,0,752 320 +HY,5281,NRT,2279,TAS,2983,,0,764 +HY,5281,NVI,6485,DME,4029,,0,320 +HY,5281,NVI,6485,LED,2948,,0,320 +HY,5281,NVI,6485,TAS,2983,,0,I14 320 +HY,5281,OVB,4078,NMA,6150,,0,320 +HY,5281,OVB,4078,TAS,2983,,0,320 +HY,5281,PEK,3364,TAS,2983,,0,764 767 +HY,5281,RIX,3953,JFK,3797,,0,763 764 +HY,5281,RIX,3953,TAS,2983,,0,764 763 +HY,5281,ROV,2964,TAS,2983,,0,320 +HY,5281,SHJ,2191,TAS,2983,,0,763 +HY,5281,SIN,3316,KUL,3304,,0,764 +HY,5281,SIN,3316,TAS,2983,,0,764 +HY,5281,SKD,2981,DME,4029,,0,757 320 +HY,5281,SKD,2981,KZN,2990,,0,320 +HY,5281,SKD,2981,LED,2948,,0,757 320 +HY,5281,SKD,2981,TAS,2983,,0,757 320 +HY,5281,SVX,2975,NMA,6150,,0,320 +HY,5281,SVX,2975,TAS,2983,,0,757 +HY,5281,TAS,2983,AER,2965,,0,767 +HY,5281,TAS,2983,ALA,2908,,0,320 +HY,5281,TAS,2983,ATQ,3081,,0,320 +HY,5281,TAS,2983,AZN,6148,,0,757 +HY,5281,TAS,2983,BHK,2980,,0,I14 320 757 +HY,5281,TAS,2983,BKK,3885,,0,764 763 +HY,5281,TAS,2983,CDG,1382,,0,767 764 +HY,5281,TAS,2983,DEL,3093,,0,763 764 +HY,5281,TAS,2983,DME,4029,,0,764 767 +HY,5281,TAS,2983,DXB,2188,,0,763 +HY,5281,TAS,2983,FCO,1555,,0,764 +HY,5281,TAS,2983,FEG,6149,,0,320 757 +HY,5281,TAS,2983,FRA,340,,0,763 764 752 +HY,5281,TAS,2983,FRU,2912,,0,320 +HY,5281,TAS,2983,GYD,2922,,0,320 +HY,5281,TAS,2983,ICN,3930,,0,764 767 +HY,5281,TAS,2983,IST,1701,,0,767 +HY,5281,TAS,2983,KBP,2939,,0,763 +HY,5281,TAS,2983,KGD,2952,,0,752 +HY,5281,TAS,2983,KJA,4374,,0,320 +HY,5281,TAS,2983,KRR,2960,,0,320 +HY,5281,TAS,2983,KSQ,6153,,0,I14 320 +HY,5281,TAS,2983,KUF,4118,,0,320 +HY,5281,TAS,2983,KUL,3304,,0,764 +HY,5281,TAS,2983,KZN,2990,,0,320 +HY,5281,TAS,2983,LED,2948,,0,764 320 +HY,5281,TAS,2983,LHR,507,,0,757 +HY,5281,TAS,2983,MRV,2962,,0,320 +HY,5281,TAS,2983,MXP,1524,,0,764 +HY,5281,TAS,2983,NCU,6151,,0,320 I14 +HY,5281,TAS,2983,NMA,6150,,0,752 320 +HY,5281,TAS,2983,NRT,2279,,0,764 +HY,5281,TAS,2983,NVI,6485,,0,I14 320 +HY,5281,TAS,2983,OVB,4078,,0,320 +HY,5281,TAS,2983,PEK,3364,,0,764 767 +HY,5281,TAS,2983,PRG,1587,Y,0,319 +HY,5281,TAS,2983,RIX,3953,,0,763 764 +HY,5281,TAS,2983,ROV,2964,,0,320 +HY,5281,TAS,2983,SHJ,2191,,0,763 +HY,5281,TAS,2983,SIN,3316,,0,764 +HY,5281,TAS,2983,SKD,2981,,0,757 320 +HY,5281,TAS,2983,SVX,2975,,0,757 +HY,5281,TAS,2983,TJM,4111,,0,752 +HY,5281,TAS,2983,TLV,1590,,0,764 +HY,5281,TAS,2983,TMJ,6154,,0,I14 757 +HY,5281,TAS,2983,TSE,2910,,0,320 +HY,5281,TAS,2983,UFA,2992,,0,320 +HY,5281,TAS,2983,UGC,6152,,0,320 I14 763 +HY,5281,TAS,2983,URC,3399,,0,764 +HY,5281,TAS,2983,VOG,2967,,0,320 +HY,5281,TJM,4111,TAS,2983,,0,752 +HY,5281,TLV,1590,TAS,2983,,0,764 +HY,5281,TMJ,6154,DME,4029,,0,757 +HY,5281,TMJ,6154,TAS,2983,,0,I14 757 +HY,5281,TSE,2910,TAS,2983,,0,320 +HY,5281,UFA,2992,TAS,2983,,0,320 +HY,5281,UGC,6152,BHK,2980,,0,320 +HY,5281,UGC,6152,DME,4029,,0,763 320 +HY,5281,UGC,6152,LED,2948,,0,320 +HY,5281,UGC,6152,TAS,2983,,0,I14 320 763 764 +HY,5281,UGC,6152,VOG,2967,,0,320 +HY,5281,URC,3399,TAS,2983,,0,764 +HY,5281,VOG,2967,TAS,2983,,0,320 +HY,5281,VOG,2967,UGC,6152,,0,320 +HZ,4808,BVV,7478,UUS,2933,,0,DH8 +HZ,4808,CTS,2287,UUS,2933,,0,737 +HZ,4808,DEE,8782,UUS,2933,,0,DH8 +HZ,4808,EKS,\N,UUS,2933,,0,DH8 +HZ,4808,HRB,3400,KHV,2927,,0,319 +HZ,4808,ICN,3930,UUS,2933,,0,737 +HZ,4808,KHV,2927,HRB,3400,,0,319 737 +HZ,4808,KHV,2927,UUS,2933,,0,737 +HZ,4808,NRT,2279,UUS,2933,,0,737 +HZ,4808,OHH,7479,UUS,2933,,0,DH8 +HZ,4808,UUS,2933,BVV,7478,,0,DH8 +HZ,4808,UUS,2933,CTS,2287,,0,737 +HZ,4808,UUS,2933,DEE,8782,,0,DH8 +HZ,4808,UUS,2933,EKS,\N,,0,DH8 +HZ,4808,UUS,2933,HRB,3400,,0,737 +HZ,4808,UUS,2933,NRT,2279,,0,737 +HZ,4808,UUS,2933,OHH,7479,,0,DH8 +I4,2917,KLW,7205,KTN,3808,,0,CNA +I4,2917,KTN,3808,KLW,7205,,0,CNA +I6,10955,BHV,5939,KHI,2206,,0,733 +I6,10955,BHV,5939,LHE,2207,,0,733 +I6,10955,ISB,2223,KHI,2206,,0,733 +I6,10955,ISB,2223,UET,2221,,0,733 +I6,10955,KHI,2206,BHV,5939,,0,733 +I6,10955,KHI,2206,ISB,2223,,0,733 +I6,10955,KHI,2206,LHE,2207,,0,733 +I6,10955,KHI,2206,LYP,2202,,0,733 +I6,10955,KHI,2206,MUX,2214,,0,733 +I6,10955,KHI,2206,PEW,2219,,0,733 +I6,10955,KHI,2206,UET,2221,,0,733 +I6,10955,LHE,2207,BHV,5939,,0,733 +I6,10955,LHE,2207,KHI,2206,,0,733 +I6,10955,LHE,2207,UET,2221,,0,733 +I6,10955,LYP,2202,KHI,2206,,0,733 +I6,10955,MUX,2214,KHI,2206,,0,733 +I6,10955,PEW,2219,KHI,2206,,0,733 +I6,10955,UET,2221,ISB,2223,,0,733 +I6,10955,UET,2221,KHI,2206,,0,733 +I6,10955,UET,2221,LHE,2207,,0,733 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+IR,2922,IFN,4150,MHD,4331,,0,320 M82 AB4 +IR,2922,IFN,4150,SYZ,2157,,0,100 +IR,2922,IFN,4150,TBZ,2162,,0,100 +IR,2922,IFN,4150,THR,2131,,0,100 M82 AB4 320 +IR,2922,IKA,4330,AMS,580,,0,AB6 +IR,2922,IKA,4330,ARN,737,,0,AB6 +IR,2922,IKA,4330,BEY,2177,,0,313 320 +IR,2922,IKA,4330,BOM,2997,,0,74L +IR,2922,IKA,4330,CGN,344,,0,313 +IR,2922,IKA,4330,DXB,2188,,0,320 +IR,2922,IKA,4330,ESB,1682,,0,320 +IR,2922,IKA,4330,FCO,1555,,0,313 +IR,2922,IKA,4330,FRA,340,,0,AB6 +IR,2922,IKA,4330,GOT,687,,0,AB6 +IR,2922,IKA,4330,GYD,2922,,0,320 +IR,2922,IKA,4330,HAM,342,,0,313 +IR,2922,IKA,4330,IST,1701,,0,320 +IR,2922,IKA,4330,KHI,2206,,0,320 +IR,2922,IKA,4330,KUL,3304,,0,74L +IR,2922,IKA,4330,LHR,507,,0,AB6 +IR,2922,IKA,4330,MXP,1524,,0,AB6 +IR,2922,IKA,4330,NJF,7490,,0,320 +IR,2922,IKA,4330,ORY,1386,,0,AB6 +IR,2922,IKA,4330,PEK,3364,,0,74L +IR,2922,IKA,4330,TAS,2983,,0,320 +IR,2922,IKA,4330,VIE,1613,,0,313 +IR,2922,IST,1701,IKA,4330,,0,320 +IR,2922,KER,2136,IFN,4150,,0,100 +IR,2922,KER,2136,THR,2131,,0,100 +IR,2922,KER,2136,ZAH,2167,,0,100 +IR,2922,KHD,5927,THR,2131,,0,100 +IR,2922,KHI,2206,IKA,4330,,0,320 +IR,2922,KIH,2109,AWZ,2104,,0,M82 +IR,2922,KIH,2109,IFN,4150,,0,100 320 +IR,2922,KIH,2109,SYZ,2157,,0,M82 +IR,2922,KIH,2109,THR,2131,,0,100 M82 AB4 320 +IR,2922,KSH,2114,MHD,4331,,0,M82 +IR,2922,KSH,2114,THR,2131,,0,100 M82 AB4 320 +IR,2922,KUL,3304,IKA,4330,,0,74L +IR,2922,KWI,2176,AWZ,2104,,0,100 +IR,2922,KWI,2176,IFN,4150,,0,100 320 +IR,2922,KWI,2176,LRR,5934,,0,100 +IR,2922,KWI,2176,MHD,4331,,0,320 +IR,2922,KWI,2176,SYZ,2157,,0,320 100 +IR,2922,LHR,507,IKA,4330,,0,AB6 +IR,2922,LRR,5934,DOH,2241,,0,320 +IR,2922,LRR,5934,KWI,2176,,0,100 +IR,2922,LRR,5934,THR,2131,,0,320 100 +IR,2922,MHD,4331,ABD,2097,,0,100 M82 +IR,2922,MHD,4331,ADU,5935,,0,100 +IR,2922,MHD,4331,AWZ,2104,,0,M82 AB4 +IR,2922,MHD,4331,AZD,2164,,0,M82 100 +IR,2922,MHD,4331,BAH,2057,,0,320 M82 +IR,2922,MHD,4331,BEY,2177,,0,313 +IR,2922,MHD,4331,BND,2134,,0,M82 +IR,2922,MHD,4331,DMM,2064,,0,320 +IR,2922,MHD,4331,GSM,5712,,0,M82 +IR,2922,MHD,4331,IFN,4150,,0,320 M82 100 +IR,2922,MHD,4331,KSH,2114,,0,M82 +IR,2922,MHD,4331,KWI,2176,,0,320 +IR,2922,MHD,4331,RAS,2123,,0,M82 100 +IR,2922,MHD,4331,SRY,5933,,0,M82 +IR,2922,MHD,4331,SYZ,2157,,0,100 M82 +IR,2922,MHD,4331,TBZ,2162,,0,M82 100 +IR,2922,MHD,4331,THR,2131,,0,M82 AB4 320 100 +IR,2922,MHD,4331,XBJ,2142,,0,100 +IR,2922,MHD,4331,ZAH,2167,,0,M82 +IR,2922,MXP,1524,IKA,4330,,0,AB6 +IR,2922,NJF,7490,IKA,4330,,0,320 +IR,2922,OMH,5936,THR,2131,,0,100 M82 +IR,2922,ORY,1386,IKA,4330,,0,AB6 +IR,2922,PEK,3364,IKA,4330,,0,74L +IR,2922,RAS,2123,AWZ,2104,,0,100 +IR,2922,RAS,2123,MHD,4331,,0,M82 100 +IR,2922,RAS,2123,THR,2131,,0,100 +IR,2922,SRY,5933,AWZ,2104,,0,M82 +IR,2922,SRY,5933,BND,2134,,0,100 +IR,2922,SRY,5933,MHD,4331,,0,M82 +IR,2922,SVO,2985,IKA,4330,,0,313 +IR,2922,SYZ,2157,AWZ,2104,,0,M82 100 +IR,2922,SYZ,2157,BDH,2110,,0,100 +IR,2922,SYZ,2157,BND,2134,,0,320 100 +IR,2922,SYZ,2157,BUZ,2106,,0,100 +IR,2922,SYZ,2157,DOH,2241,,0,320 +IR,2922,SYZ,2157,IFN,4150,,0,100 +IR,2922,SYZ,2157,KIH,2109,,0,M82 +IR,2922,SYZ,2157,KWI,2176,,0,320 100 +IR,2922,SYZ,2157,MHD,4331,,0,M82 320 +IR,2922,SYZ,2157,THR,2131,,0,100 320 AB4 M82 +IR,2922,TAS,2983,IKA,4330,,0,320 +IR,2922,TBZ,2162,AWZ,2104,,0,AB4 +IR,2922,TBZ,2162,BND,2134,,0,100 +IR,2922,TBZ,2162,IFN,4150,,0,100 +IR,2922,TBZ,2162,MHD,4331,,0,M82 100 AB4 +IR,2922,TBZ,2162,THR,2131,,0,AB4 100 M82 +IR,2922,THR,2131,ABD,2097,,0,M82 100 +IR,2922,THR,2131,ADU,5935,,0,100 +IR,2922,THR,2131,AWZ,2104,,0,M82 100 AB4 +IR,2922,THR,2131,AZD,2164,,0,100 M82 AB4 320 +IR,2922,THR,2131,BND,2134,,0,100 320 M82 +IR,2922,THR,2131,BUZ,2106,,0,100 M82 AB4 +IR,2922,THR,2131,GBT,6747,,0,100 +IR,2922,THR,2131,GSM,5712,,0,100 320 +IR,2922,THR,2131,IFN,4150,,0,100 320 M82 AB4 +IR,2922,THR,2131,KER,2136,,0,100 +IR,2922,THR,2131,KHD,5927,,0,100 +IR,2922,THR,2131,KIH,2109,,0,100 M82 AB4 320 +IR,2922,THR,2131,KSH,2114,,0,100 M82 AB4 320 +IR,2922,THR,2131,LRR,5934,,0,320 100 +IR,2922,THR,2131,MHD,4331,,0,AB4 M82 100 320 +IR,2922,THR,2131,OMH,5936,,0,100 M82 +IR,2922,THR,2131,RAS,2123,,0,100 +IR,2922,THR,2131,SYZ,2157,,0,100 320 AB4 M82 +IR,2922,THR,2131,TBZ,2162,,0,AB4 100 M82 +IR,2922,THR,2131,XBJ,2142,,0,100 M82 +IR,2922,THR,2131,ZAH,2167,,0,M82 100 320 +IR,2922,VIE,1613,IKA,4330,,0,313 +IR,2922,XBJ,2142,MHD,4331,,0,100 +IR,2922,XBJ,2142,THR,2131,,0,100 M82 +IR,2922,ZAH,2167,GBT,6747,,0,100 +IR,2922,ZAH,2167,KER,2136,,0,100 +IR,2922,ZAH,2167,MHD,4331,,0,M82 +IR,2922,ZAH,2167,THR,2131,,0,M82 100 320 +IR,2922,ZAH,2167,ZBR,2166,,0,M82 100 320 +IR,2922,ZBR,2166,BND,2134,,0,100 +IR,2922,ZBR,2166,THR,2131,,0,100 +IR,2922,ZBR,2166,ZAH,2167,,0,M82 100 320 +IX,569,AAN,5937,CCJ,3137,,0,738 +IX,569,AUH,2179,CCJ,3137,,0,738 +IX,569,AUH,2179,COK,3136,,0,738 +IX,569,AUH,2179,MCT,2194,,0,738 +IX,569,AUH,2179,TRV,3153,,0,738 +IX,569,BAH,2057,DOH,2241,,0,738 +IX,569,BAH,2057,IXE,3143,,0,738 +IX,569,BOM,2997,CCJ,3137,,0,738 +IX,569,BOM,2997,COK,3136,,0,738 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+LX,4559,JFK,3797,ZRH,1678,,0,333 +LX,4559,JNB,813,ZRH,1678,,0,343 333 +LX,4559,KBP,2939,ZRH,1678,,0,320 32A 100 319 +LX,4559,LAS,3877,ZRH,1678,,0,333 +LX,4559,LAX,3484,ZRH,1678,,0,343 +LX,4559,LCA,1197,ZRH,1678,Y,0,320 +LX,4559,LCY,503,BSL,4053,Y,0,AR1 +LX,4559,LCY,503,GVA,1665,Y,0,AR1 +LX,4559,LCY,503,ZRH,1678,Y,0,AR1 +LX,4559,LED,2948,GVA,1665,,0,319 +LX,4559,LED,2948,ZRH,1678,,0,320 32A +LX,4559,LHR,507,GVA,1665,,0,320 319 +LX,4559,LHR,507,ZRH,1678,,0,320 321 32A +LX,4559,LIN,1529,BRU,302,,0,AR1 319 +LX,4559,LIS,1638,GVA,1665,,0,319 320 +LX,4559,LIS,1638,ZRH,1678,,0,32A 320 +LX,4559,LJU,1569,ZRH,1678,Y,0,CR9 CR2 319 +LX,4559,LPA,1054,ZRH,1678,Y,0,320 +LX,4559,LUG,1675,ZRH,1678,Y,0,S20 +LX,4559,LUX,629,ZRH,1678,,0,AR1 320 +LX,4559,LYS,1335,ZRH,1678,,0,AR1 +LX,4559,MAD,1229,GVA,1665,,0,320 319 +LX,4559,MAD,1229,ZRH,1678,,0,320 32A +LX,4559,MAN,478,ZRH,1678,,0,100 320 AR1 +LX,4559,MIA,3576,ZRH,1678,,0,333 +LX,4559,MLA,1606,ZRH,1678,Y,0,319 +LX,4559,MUC,346,BSL,4053,Y,0,CR9 CR7 +LX,4559,MUC,346,GVA,1665,Y,0,E95 CR9 +LX,4559,MUC,346,ZRH,1678,,0,AR1 +LX,4559,MXP,1524,ZRH,1678,,0,AR1 100 320 +LX,4559,NBO,4059,DAR,1177,,0,333 +LX,4559,NBO,4059,ZRH,1678,,0,333 +LX,4559,NCE,1354,GVA,1665,,0,320 319 AR1 +LX,4559,NCE,1354,ZRH,1678,,0,320 319 +LX,4559,NRT,2279,ZRH,1678,,0,343 +LX,4559,NSI,4161,BRU,302,Y,0,332 +LX,4559,NSI,4161,DLA,897,Y,0,332 +LX,4559,NUE,347,ZRH,1678,,0,AR1 100 +LX,4559,OLB,1520,GVA,1665,,0,320 +LX,4559,OPO,1636,GVA,1665,,0,319 320 +LX,4559,OPO,1636,ZRH,1678,Y,0,320 319 +LX,4559,ORD,3830,ZRH,1678,,0,333 +LX,4559,OSL,644,ZRH,1678,,0,319 320 +LX,4559,OTP,1657,ZRH,1678,Y,0,320 +LX,4559,PEK,3364,ZRH,1678,,0,333 +LX,4559,PMI,3998,GVA,1665,,0,320 +LX,4559,PMI,3998,ZRH,1678,,0,321 320 +LX,4559,PRG,1587,BSL,4053,Y,0,AR1 +LX,4559,PRG,1587,GVA,1665,,0,320 319 +LX,4559,PRG,1587,ZRH,1678,,0,AR1 +LX,4559,PRN,1742,GVA,1665,,0,320 +LX,4559,PRN,1742,ZRH,1678,Y,0,320 +LX,4559,PUJ,1760,ZRH,1678,Y,0,333 +LX,4559,PVG,3406,ZRH,1678,,0,343 +LX,4559,RAK,1075,GVA,1665,,0,320 +LX,4559,RAK,1075,ZRH,1678,Y,0,320 +LX,4559,RMF,4197,ZRH,1678,Y,0,320 +LX,4559,SFO,3469,ZRH,1678,,0,343 +LX,4559,SIN,3316,ZRH,1678,,0,343 +LX,4559,SKP,1737,ZRH,1678,Y,0,320 +LX,4559,SPU,1206,ZRH,1678,Y,0,DH4 +LX,4559,STR,350,ZRH,1678,,0,AR1 +LX,4559,TFS,1056,ZRH,1678,Y,0,320 +LX,4559,TLV,1590,GVA,1665,Y,0,738 +LX,4559,TLV,1590,ZRH,1678,,0,333 343 32A +LX,4559,TPA,3646,ZRH,1678,Y,0,333 +LX,4559,TXL,351,ZRH,1678,,0,321 320 +LX,4559,VCE,1551,ZRH,1678,,0,AR1 320 +LX,4559,VIE,1613,BSL,4053,Y,0,DH4 +LX,4559,VIE,1613,GVA,1665,Y,0,319 100 F70 +LX,4559,VIE,1613,ZRH,1678,,0,320 32A 319 321 AR1 +LX,4559,VLC,1246,ZRH,1678,,0,321 320 +LX,4559,WAW,679,GVA,1665,Y,0,E75 +LX,4559,WAW,679,ZRH,1678,,0,100 +LX,4559,YUL,146,GVA,1665,Y,0,333 +LX,4559,YUL,146,YYZ,193,Y,0,333 +LX,4559,YUL,146,ZRH,1678,,0,333 +LX,4559,YYZ,193,YUL,146,Y,0,333 +LX,4559,YYZ,193,ZRH,1678,Y,0,333 +LX,4559,ZAG,1208,ZRH,1678,Y,0,DH4 +LX,4559,ZRH,1678,ACE,1055,Y,0,320 +LX,4559,ZRH,1678,AGP,1230,,0,321 320 +LX,4559,ZRH,1678,AMS,580,,0,320 AR1 +LX,4559,ZRH,1678,ARN,737,,0,320 321 +LX,4559,ZRH,1678,ATH,3941,,0,321 +LX,4559,ZRH,1678,AYT,1688,Y,0,320 +LX,4559,ZRH,1678,BCN,1218,,0,321 320 +LX,4559,ZRH,1678,BEG,1739,,0,320 100 +LX,4559,ZRH,1678,BHX,469,,0,100 AR1 +LX,4559,ZRH,1678,BKK,3885,,0,343 +LX,4559,ZRH,1678,BOM,2997,,0,333 +LX,4559,ZRH,1678,BOS,3448,,0,333 +LX,4559,ZRH,1678,BRU,302,,0,320 AR1 +LX,4559,ZRH,1678,BUD,1489,,0,AR1 100 320 319 +LX,4559,ZRH,1678,CAI,1128,,0,333 343 +LX,4559,ZRH,1678,CDG,1382,,0,320 AR1 32A 319 +LX,4559,ZRH,1678,CGN,344,,0,320 319 +LX,4559,ZRH,1678,CPH,609,,0,321 320 +LX,4559,ZRH,1678,CTA,1509,Y,0,320 +LX,4559,ZRH,1678,DBV,1200,Y,0,DH4 +LX,4559,ZRH,1678,DEL,3093,,0,333 +LX,4559,ZRH,1678,DME,4029,,0,321 320 +LX,4559,ZRH,1678,DUB,599,,0,321 +LX,4559,ZRH,1678,DUS,345,,0,320 AR1 100 321 +LX,4559,ZRH,1678,DXB,2188,,0,333 +LX,4559,ZRH,1678,EWR,3494,,0,333 +LX,4559,ZRH,1678,FCO,1555,,0,321 320 319 32A +LX,4559,ZRH,1678,FLR,1563,Y,0,AR1 +LX,4559,ZRH,1678,FNC,4091,Y,0,320 +LX,4559,ZRH,1678,FRA,340,,0,320 AR1 +LX,4559,ZRH,1678,FUE,1051,Y,0,320 +LX,4559,ZRH,1678,GRU,2564,,0,343 +LX,4559,ZRH,1678,GVA,1665,,0,319 320 AR1 321 32A +LX,4559,ZRH,1678,HAJ,352,,0,AR1 100 320 +LX,4559,ZRH,1678,HAM,342,,0,321 319 320 CRJ +LX,4559,ZRH,1678,HAV,1909,Y,0,333 +LX,4559,ZRH,1678,HER,1452,Y,0,320 333 +LX,4559,ZRH,1678,HKG,3077,,0,343 +LX,4559,ZRH,1678,HRG,1130,Y,0,320 +LX,4559,ZRH,1678,IAD,3714,Y,0,763 764 +LX,4559,ZRH,1678,IST,1701,,0,320 32A +LX,4559,ZRH,1678,JFK,3797,,0,333 +LX,4559,ZRH,1678,JNB,813,,0,343 333 +LX,4559,ZRH,1678,KBP,2939,,0,320 32A 100 319 +LX,4559,ZRH,1678,LAS,3877,,0,333 +LX,4559,ZRH,1678,LAX,3484,,0,343 +LX,4559,ZRH,1678,LCA,1197,Y,0,320 +LX,4559,ZRH,1678,LCY,503,Y,0,AR1 +LX,4559,ZRH,1678,LED,2948,,0,320 32A +LX,4559,ZRH,1678,LHR,507,,0,320 321 32A +LX,4559,ZRH,1678,LIS,1638,,0,32A 320 +LX,4559,ZRH,1678,LJU,1569,Y,0,CR9 CR2 319 +LX,4559,ZRH,1678,LPA,1054,Y,0,320 +LX,4559,ZRH,1678,LUG,1675,Y,0,S20 +LX,4559,ZRH,1678,LUX,629,,0,AR1 320 +LX,4559,ZRH,1678,LYS,1335,,0,AR1 +LX,4559,ZRH,1678,MAD,1229,,0,320 32A +LX,4559,ZRH,1678,MAN,478,,0,100 320 AR1 +LX,4559,ZRH,1678,MIA,3576,,0,333 +LX,4559,ZRH,1678,MLA,1606,Y,0,319 +LX,4559,ZRH,1678,MUC,346,,0,AR1 +LX,4559,ZRH,1678,MXP,1524,,0,AR1 100 320 +LX,4559,ZRH,1678,NBO,4059,,0,333 +LX,4559,ZRH,1678,NCE,1354,,0,320 319 +LX,4559,ZRH,1678,NRT,2279,,0,343 +LX,4559,ZRH,1678,NUE,347,,0,100 AR1 +LX,4559,ZRH,1678,OPO,1636,Y,0,320 319 +LX,4559,ZRH,1678,ORD,3830,,0,333 +LX,4559,ZRH,1678,OSL,644,,0,319 320 +LX,4559,ZRH,1678,OTP,1657,Y,0,320 +LX,4559,ZRH,1678,PEK,3364,,0,333 +LX,4559,ZRH,1678,PMI,3998,,0,321 320 +LX,4559,ZRH,1678,PRG,1587,,0,AR1 +LX,4559,ZRH,1678,PRN,1742,Y,0,320 +LX,4559,ZRH,1678,PUJ,1760,Y,0,333 +LX,4559,ZRH,1678,PVG,3406,,0,343 +LX,4559,ZRH,1678,RAK,1075,Y,0,320 +LX,4559,ZRH,1678,RMF,4197,Y,0,320 +LX,4559,ZRH,1678,SFO,3469,,0,343 +LX,4559,ZRH,1678,SIN,3316,,0,343 +LX,4559,ZRH,1678,SKP,1737,Y,0,320 +LX,4559,ZRH,1678,SPU,1206,Y,0,DH4 +LX,4559,ZRH,1678,STR,350,,0,AR1 +LX,4559,ZRH,1678,TFS,1056,Y,0,320 +LX,4559,ZRH,1678,TLV,1590,,0,343 32A 333 +LX,4559,ZRH,1678,TPA,3646,Y,0,333 +LX,4559,ZRH,1678,TXL,351,,0,320 321 +LX,4559,ZRH,1678,VCE,1551,,0,AR1 320 +LX,4559,ZRH,1678,VIE,1613,,0,32A 319 321 320 AR1 +LX,4559,ZRH,1678,VLC,1246,,0,321 320 +LX,4559,ZRH,1678,WAW,679,,0,100 +LX,4559,ZRH,1678,YUL,146,,0,333 +LX,4559,ZRH,1678,YYZ,193,Y,0,333 +LX,4559,ZRH,1678,ZAG,1208,Y,0,DH4 +LY,2150,AMS,580,TLV,1590,,0,738 739 763 +LY,2150,ATH,3941,TLV,1590,,0,738 +LY,2150,BCN,1218,TLV,1590,,0,763 744 738 +LY,2150,BKK,3885,TLV,1590,,0,763 744 +LY,2150,BOM,2997,TLV,1590,,0,763 +LY,2150,BRU,302,TLV,1590,,0,73G 738 +LY,2150,BUD,1489,TLV,1590,,0,738 +LY,2150,CDG,1382,TLV,1590,,0,738 763 739 772 744 +LY,2150,DME,4029,TLV,1590,,0,739 763 738 73G 772 +LY,2150,EWR,3494,TLV,1590,,0,772 +LY,2150,FCO,1555,TLV,1590,,0,73G 739 738 763 +LY,2150,FRA,340,TLV,1590,,0,738 +LY,2150,GVA,1665,TLV,1590,,0,738 +LY,2150,HKG,3077,TLV,1590,,0,772 +LY,2150,JFK,3797,TLV,1590,,0,744 +LY,2150,JNB,813,TLV,1590,,0,763 +LY,2150,KBP,2939,TLV,1590,,0,738 +LY,2150,LAX,3484,TLV,1590,,0,772 +LY,2150,LCA,1197,TLV,1590,,0,738 +LY,2150,LED,2948,TLV,1590,,0,739 738 +LY,2150,LHR,507,TLV,1590,,0,772 763 +LY,2150,LTN,492,TLV,1590,,0,738 +LY,2150,MAD,1229,TLV,1590,,0,739 738 +LY,2150,MRS,1353,TLV,1590,,0,763 738 +LY,2150,MUC,346,MAD,1229,,0,738 +LY,2150,MUC,346,TLV,1590,,0,738 73G 763 +LY,2150,MXP,1524,TLV,1590,,0,739 738 +LY,2150,OTP,1657,TLV,1590,,0,738 739 +LY,2150,PEK,3364,TLV,1590,,0,763 +LY,2150,PRG,1587,TLV,1590,,0,738 +LY,2150,SOF,1194,TLV,1590,,0,738 +LY,2150,SXF,337,TLV,1590,,0,738 +LY,2150,TLV,1590,AMS,580,,0,738 739 763 +LY,2150,TLV,1590,ATH,3941,,0,738 +LY,2150,TLV,1590,BCN,1218,,0,763 744 738 +LY,2150,TLV,1590,BKK,3885,,0,763 744 +LY,2150,TLV,1590,BOM,2997,,0,763 +LY,2150,TLV,1590,BRU,302,,0,73G 738 +LY,2150,TLV,1590,BUD,1489,,0,738 +LY,2150,TLV,1590,CDG,1382,,0,738 763 739 772 744 +LY,2150,TLV,1590,DME,4029,,0,739 763 738 73G 772 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+MU,1758,PEK,3364,TYN,3369,,0,738 +MU,1758,PEK,3364,WNZ,6392,,0,738 +MU,1758,PEK,3364,WUH,3376,,0,738 +MU,1758,PEK,3364,WUX,6390,,0,321 320 +MU,1758,PEK,3364,XIY,3379,,0,333 320 321 +MU,1758,PEK,3364,XNN,6366,,0,320 +MU,1758,PEK,3364,YNT,3392,,0,321 320 +MU,1758,PER,3351,SIN,3316,Y,0,332 +MU,1758,PNH,3034,NNG,3373,,0,737 +MU,1758,PUS,2372,NKG,3388,Y,0,73H +MU,1758,PUS,2372,PVG,3406,,0,321 320 +MU,1758,PUS,2372,TAO,3390,Y,0,73H +MU,1758,PVG,3406,ACX,7506,,0,319 +MU,1758,PVG,3406,AMS,580,Y,0,74M +MU,1758,PVG,3406,AOG,\N,Y,0,737 +MU,1758,PVG,3406,BHY,6351,,0,320 +MU,1758,PVG,3406,BKK,3885,,0,320 333 332 +MU,1758,PVG,3406,CAN,3370,,0,738 +MU,1758,PVG,3406,CDG,1382,,0,332 +MU,1758,PVG,3406,CGK,3275,,0,777 +MU,1758,PVG,3406,CGO,3375,,0,320 738 +MU,1758,PVG,3406,CGQ,4380,,0,320 +MU,1758,PVG,3406,CJU,2370,,0,738 +MU,1758,PVG,3406,CKG,3393,,0,320 346 321 +MU,1758,PVG,3406,CNX,3931,,0,320 +MU,1758,PVG,3406,CSX,3371,,0,321 320 +MU,1758,PVG,3406,CTS,2287,,0,321 320 +MU,1758,PVG,3406,CTU,3395,,0,320 319 738 +MU,1758,PVG,3406,DAT,6344,,0,319 +MU,1758,PVG,3406,DAX,6397,,0,319 +MU,1758,PVG,3406,DEL,3093,,0,332 +MU,1758,PVG,3406,DLC,3404,,0,320 738 319 +MU,1758,PVG,3406,DPS,3940,,0,332 +MU,1758,PVG,3406,DTW,3645,Y,0,77L +MU,1758,PVG,3406,DYG,6353,,0,320 +MU,1758,PVG,3406,FCO,1555,,0,332 +MU,1758,PVG,3406,FOC,3385,,0,320 319 321 +MU,1758,PVG,3406,FRA,340,,0,332 +MU,1758,PVG,3406,FSZ,6476,,0,738 320 +MU,1758,PVG,3406,FUK,2305,,0,738 320 +MU,1758,PVG,3406,HAK,4120,,0,320 +MU,1758,PVG,3406,HAN,3199,Y,0,321 +MU,1758,PVG,3406,HDG,8407,,0,320 +MU,1758,PVG,3406,HFE,3389,,0,320 +MU,1758,PVG,3406,HIJ,2326,,0,320 +MU,1758,PVG,3406,HKG,3077,,0,321 320 332 +MU,1758,PVG,3406,HKT,3179,Y,0,757 738 +MU,1758,PVG,3406,HMI,6743,,0,320 +MU,1758,PVG,3406,HNL,3728,,0,332 +MU,1758,PVG,3406,HRB,3400,,0,321 320 319 +MU,1758,PVG,3406,HSN,6395,,0,319 +MU,1758,PVG,3406,ICN,3930,,0,332 321 +MU,1758,PVG,3406,INC,4085,,0,320 +MU,1758,PVG,3406,JFK,3797,,0,346 +MU,1758,PVG,3406,JNZ,6412,Y,0,737 +MU,1758,PVG,3406,JZH,4301,,0,319 +MU,1758,PVG,3406,KHN,3384,,0,320 319 +MU,1758,PVG,3406,KIJ,4381,,0,319 +MU,1758,PVG,3406,KIX,3992,,0,321 738 +MU,1758,PVG,3406,KMG,3382,,0,738 333 +MU,1758,PVG,3406,KMQ,2322,,0,319 +MU,1758,PVG,3406,KOJ,2307,,0,319 +MU,1758,PVG,3406,KUL,3304,,0,320 +MU,1758,PVG,3406,KWE,3394,,0,738 319 +MU,1758,PVG,3406,KWL,3372,,0,320 +MU,1758,PVG,3406,LAX,3484,,0,346 +MU,1758,PVG,3406,LHR,507,,0,332 +MU,1758,PVG,3406,LHW,6431,,0,320 +MU,1758,PVG,3406,LYI,6385,,0,320 +MU,1758,PVG,3406,LZH,6356,,0,320 +MU,1758,PVG,3406,LZO,6399,,0,319 +MU,1758,PVG,3406,MEL,3339,,0,332 +MU,1758,PVG,3406,MFM,3121,,0,321 +MU,1758,PVG,3406,MIG,6400,Y,0,738 +MU,1758,PVG,3406,MNL,2397,,0,320 +MU,1758,PVG,3406,MWX,4189,,0,320 +MU,1758,PVG,3406,MYJ,2333,,0,319 +MU,1758,PVG,3406,NAO,6401,,0,319 +MU,1758,PVG,3406,NGO,3942,,0,320 +MU,1758,PVG,3406,NGS,2313,,0,319 +MU,1758,PVG,3406,NKG,3388,,0,320 +MU,1758,PVG,3406,NNG,3373,,0,73G +MU,1758,PVG,3406,NRT,2279,,0,333 321 332 +MU,1758,PVG,3406,OKA,2384,,0,320 +MU,1758,PVG,3406,OKJ,2327,,0,320 +MU,1758,PVG,3406,PEK,3364,,0,321 332 320 333 +MU,1758,PVG,3406,PNH,3034,,0,320 +MU,1758,PVG,3406,PUS,2372,,0,321 320 +MU,1758,PVG,3406,REP,3035,,0,320 +MU,1758,PVG,3406,SEA,3577,,0,332 +MU,1758,PVG,3406,SFO,3469,,0,332 +MU,1758,PVG,3406,SGN,3205,,0,738 +MU,1758,PVG,3406,SHE,4144,,0,320 +MU,1758,PVG,3406,SHP,6429,Y,0,737 +MU,1758,PVG,3406,SIN,3316,,0,332 320 767 +MU,1758,PVG,3406,SJW,6347,,0,320 +MU,1758,PVG,3406,SVO,2985,,0,333 77W 767 +MU,1758,PVG,3406,SYD,3361,,0,332 +MU,1758,PVG,3406,SYX,4030,,0,320 319 +MU,1758,PVG,3406,SZX,3374,,0,320 321 +MU,1758,PVG,3406,TAE,2381,,0,321 320 +MU,1758,PVG,3406,TAO,3390,,0,321 320 332 +MU,1758,PVG,3406,TNA,4108,,0,320 +MU,1758,PVG,3406,TOY,2324,Y,0,738 +MU,1758,PVG,3406,TPE,2276,,0,332 +MU,1758,PVG,3406,TSN,3368,,0,320 +MU,1758,PVG,3406,TVS,8858,Y,0,738 +MU,1758,PVG,3406,TYN,3369,,0,738 +MU,1758,PVG,3406,URC,3399,,0,320 +MU,1758,PVG,3406,WNZ,6392,,0,738 321 737 332 +MU,1758,PVG,3406,WUH,3376,,0,738 320 332 +MU,1758,PVG,3406,WXN,6403,Y,0,737 +MU,1758,PVG,3406,XIY,3379,,0,320 321 +MU,1758,PVG,3406,XMN,3383,,0,320 +MU,1758,PVG,3406,XNN,6366,,0,319 +MU,1758,PVG,3406,YBP,4110,,0,319 +MU,1758,PVG,3406,YCU,6430,Y,0,738 +MU,1758,PVG,3406,YNJ,6414,,0,320 +MU,1758,PVG,3406,YNT,3392,,0,320 +MU,1758,PVG,3406,YVR,156,,0,332 +MU,1758,PVG,3406,ZHA,6357,Y,0,737 +MU,1758,PVG,3406,ZUH,6355,,0,738 +MU,1758,REP,3035,KMG,3382,,0,737 +MU,1758,REP,3035,PVG,3406,,0,320 +MU,1758,RGN,3239,KMG,3382,,0,737 +MU,1758,RGN,3239,NNG,3373,,0,737 +MU,1758,SEA,3577,PEK,3364,Y,0,76W +MU,1758,SEA,3577,PVG,3406,,0,332 +MU,1758,SFO,3469,PVG,3406,,0,332 +MU,1758,SGN,3205,PVG,3406,,0,738 +MU,1758,SHA,3391,AQG,6427,,0,EMB +MU,1758,SHA,3391,BAV,6346,Y,0,738 737 +MU,1758,SHA,3391,CAN,3370,,0,333 AB6 738 321 +MU,1758,SHA,3391,CGO,3375,,0,737 320 738 321 +MU,1758,SHA,3391,CKG,3393,,0,321 738 +MU,1758,SHA,3391,CSX,3371,,0,738 321 +MU,1758,SHA,3391,CTU,3395,,0,767 738 +MU,1758,SHA,3391,FOC,3385,Y,0,738 +MU,1758,SHA,3391,FUG,7503,Y,0,737 +MU,1758,SHA,3391,GMP,2378,,0,321 +MU,1758,SHA,3391,HDG,8407,,0,320 737 +MU,1758,SHA,3391,HET,6345,,0,320 +MU,1758,SHA,3391,HIA,7898,,0,320 +MU,1758,SHA,3391,HKG,3077,,0,332 +MU,1758,SHA,3391,HND,2359,,0,321 +MU,1758,SHA,3391,JGS,6428,Y,0,738 +MU,1758,SHA,3391,JIU,6381,,0,320 +MU,1758,SHA,3391,JNG,6944,Y,0,737 +MU,1758,SHA,3391,KHN,3384,,0,320 +MU,1758,SHA,3391,KMG,3382,,0,737 733 321 +MU,1758,SHA,3391,KOW,6379,,0,320 +MU,1758,SHA,3391,KWE,3394,,0,321 73G 738 +MU,1758,SHA,3391,KWL,3372,Y,0,737 +MU,1758,SHA,3391,LHW,6431,,0,320 +MU,1758,SHA,3391,LJG,4033,,0,737 +MU,1758,SHA,3391,LYA,4148,,0,321 +MU,1758,SHA,3391,LYG,6383,Y,0,738 737 +MU,1758,SHA,3391,LYI,6385,,0,320 +MU,1758,SHA,3391,LZH,6356,,0,321 +MU,1758,SHA,3391,MFM,3121,Y,0,738 +MU,1758,SHA,3391,NAY,6341,Y,0,737 +MU,1758,SHA,3391,NNG,3373,,0,738 320 +MU,1758,SHA,3391,PEK,3364,,0,333 767 +MU,1758,SHA,3391,SHE,4144,Y,0,738 +MU,1758,SHA,3391,SJW,6347,Y,0,738 737 +MU,1758,SHA,3391,SWA,4302,,0,321 +MU,1758,SHA,3391,SYX,4030,,0,320 +MU,1758,SHA,3391,SZX,3374,,0,321 767 333 320 AB6 +MU,1758,SHA,3391,TAO,3390,,0,320 +MU,1758,SHA,3391,TNA,4108,,0,321 +MU,1758,SHA,3391,TSA,2275,,0,333 +MU,1758,SHA,3391,TSN,3368,,0,737 320 +MU,1758,SHA,3391,TXN,6387,Y,0,737 +MU,1758,SHA,3391,TYN,3369,,0,737 321 +MU,1758,SHA,3391,URC,3399,,0,320 73G 752 +MU,1758,SHA,3391,WNZ,6392,Y,0,737 +MU,1758,SHA,3391,WUH,3376,,0,321 738 733 320 +MU,1758,SHA,3391,WUS,6391,,0,320 +MU,1758,SHA,3391,XIY,3379,,0,320 321 +MU,1758,SHA,3391,XMN,3383,,0,320 737 +MU,1758,SHA,3391,XUZ,4149,,0,320 +MU,1758,SHA,3391,YIH,6361,Y,0,737 +MU,1758,SHA,3391,YNT,3392,,0,320 +MU,1758,SHA,3391,YNZ,6393,,0,320 +MU,1758,SHA,3391,ZUH,6355,,0,320 321 +MU,1758,SHE,4144,PEK,3364,Y,0,320 321 +MU,1758,SHE,4144,PVG,3406,,0,320 +MU,1758,SHE,4144,SHA,3391,Y,0,738 +MU,1758,SHE,4144,TAO,3390,,0,320 +MU,1758,SHE,4144,XIY,3379,,0,733 +MU,1758,SHP,6429,PVG,3406,Y,0,737 +MU,1758,SHP,6429,SJW,6347,,0,320 +MU,1758,SIN,3316,BNE,3320,Y,0,744 +MU,1758,SIN,3316,MEL,3339,Y,0,333 +MU,1758,SIN,3316,NNG,3373,,0,320 +MU,1758,SIN,3316,PER,3351,Y,0,332 +MU,1758,SIN,3316,PVG,3406,,0,332 320 767 +MU,1758,SIN,3316,SYD,3361,,0,333 +MU,1758,SIN,3316,WUH,3376,,0,320 +MU,1758,SIN,3316,WUX,6390,,0,320 +MU,1758,SJW,6347,BAV,6346,Y,0,737 +MU,1758,SJW,6347,HET,6345,,0,319 320 +MU,1758,SJW,6347,HGH,3386,Y,0,737 +MU,1758,SJW,6347,KMG,3382,Y,0,737 +MU,1758,SJW,6347,LHW,6431,,0,320 +MU,1758,SJW,6347,NKG,3388,,0,319 320 +MU,1758,SJW,6347,PVG,3406,,0,320 +MU,1758,SJW,6347,SHA,3391,Y,0,738 737 +MU,1758,SJW,6347,SHP,6429,,0,320 +MU,1758,SJW,6347,TAO,3390,,0,320 +MU,1758,SJW,6347,TPE,2276,,0,737 +MU,1758,SJW,6347,XIY,3379,Y,0,737 +MU,1758,SJW,6347,ZQZ,\N,,0,320 +MU,1758,SPN,2244,PEK,3364,,0,333 +MU,1758,SVO,2985,PVG,3406,,0,333 767 77W +MU,1758,SWA,4302,HGH,3386,,0,320 +MU,1758,SWA,4302,SHA,3391,,0,321 +MU,1758,SYD,3361,AKL,2006,Y,0,73H +MU,1758,SYD,3361,CHC,2009,Y,0,73H +MU,1758,SYD,3361,NKG,3388,,0,332 +MU,1758,SYD,3361,PVG,3406,,0,332 +MU,1758,SYD,3361,SIN,3316,Y,0,333 744 +MU,1758,SYD,3361,WLG,2042,Y,0,73H +MU,1758,SYM,6377,KMG,3382,,0,733 737 +MU,1758,SYX,4030,KMG,3382,,0,733 +MU,1758,SYX,4030,LZH,6356,,0,EMB +MU,1758,SYX,4030,NKG,3388,,0,321 +MU,1758,SYX,4030,NNG,3373,,0,738 +MU,1758,SYX,4030,PVG,3406,,0,320 319 +MU,1758,SYX,4030,SHA,3391,,0,320 +MU,1758,SYX,4030,WUH,3376,,0,738 +MU,1758,SZX,3374,CZX,4109,,0,320 +MU,1758,SZX,3374,JGS,6428,,0,320 +MU,1758,SZX,3374,KHN,3384,,0,320 +MU,1758,SZX,3374,KMG,3382,,0,737 321 319 320 +MU,1758,SZX,3374,LLF,8845,,0,737 +MU,1758,SZX,3374,NAY,6341,Y,0,737 +MU,1758,SZX,3374,NGB,3387,,0,320 +MU,1758,SZX,3374,NKG,3388,,0,320 +MU,1758,SZX,3374,PVG,3406,,0,320 321 +MU,1758,SZX,3374,SHA,3391,,0,333 AB6 767 320 321 +MU,1758,SZX,3374,TYN,3369,,0,737 +MU,1758,SZX,3374,WUH,3376,,0,733 +MU,1758,SZX,3374,WUX,6390,,0,320 +MU,1758,SZX,3374,XIY,3379,,0,320 +MU,1758,TAE,2381,PVG,3406,,0,321 320 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+NF,524,MWF,5903,SON,5908,,0,DHT +NF,524,NOU,2005,VLI,1997,,0,ATR +NF,524,NUS,5905,CCV,5897,,0,DHT YN2 +NF,524,NUS,5905,LPM,5901,,0,DHT +NF,524,NUS,5905,SON,5908,,0,DHT YN2 +NF,524,NUS,5905,SWJ,5912,,0,DHT +NF,524,NUS,5905,VLI,1997,,0,YN2 DHT BNI +NF,524,PBJ,5900,ULB,5910,,0,DHT +NF,524,PBJ,5900,VLI,1997,,0,DHT +NF,524,SLH,5894,MTV,5893,,0,YN2 +NF,524,SLH,5894,SON,5908,,0,DHT YN2 +NF,524,SLH,5894,TOH,5895,,0,DHT +NF,524,SON,5908,BNE,3320,,0,738 +NF,524,SON,5908,LNE,5904,,0,YN2 BNI DHT +NF,524,SON,5908,LOD,5898,,0,DHT YN2 BNI +NF,524,SON,5908,MWF,5903,,0,DHT +NF,524,SON,5908,NUS,5905,,0,DHT YN2 BNI +NF,524,SON,5908,SLH,5894,,0,DHT YN2 +NF,524,SON,5908,SSR,5899,,0,DHT +NF,524,SON,5908,VLI,1997,,0,ATR DHT +NF,524,SON,5908,WLH,6771,,0,DHT YN2 +NF,524,SON,5908,ZGU,5906,,0,DHT +NF,524,SSR,5899,SON,5908,,0,DHT +NF,524,SWJ,5912,NUS,5905,,0,DHT +NF,524,SWJ,5912,VLI,1997,,0,DHT +NF,524,SYD,3361,VLI,1997,,0,738 +NF,524,TAH,4242,AUY,5914,,0,YN2 BNI +NF,524,TAH,4242,AWD,5915,,0,YN2 BNI +NF,524,TAH,4242,FTA,5917,,0,BNI YN2 +NF,524,TAH,4242,IPA,5918,,0,YN2 +NF,524,TAH,4242,VLI,1997,,0,ATR YN2 DHT BNI +NF,524,TGH,5909,VLI,1997,,0,BNI +NF,524,TOH,5895,MTV,5893,,0,DHT +NF,524,TOH,5895,SLH,5894,,0,DHT +NF,524,TOH,5895,ZGU,5906,,0,DHT +NF,524,ULB,5910,CCV,5897,,0,DHT +NF,524,ULB,5910,PBJ,5900,,0,DHT +NF,524,ULB,5910,VLI,1997,,0,YN2 +NF,524,VLI,1997,AKL,2006,,0,738 +NF,524,VLI,1997,BNE,3320,,0,738 +NF,524,VLI,1997,CCV,5897,,0,YN2 +NF,524,VLI,1997,DLY,5916,,0,YN2 +NF,524,VLI,1997,EAE,5896,,0,BNI +NF,524,VLI,1997,HIR,4074,Y,0,320 +NF,524,VLI,1997,IPA,5918,,0,YN2 +NF,524,VLI,1997,LNB,5902,,0,DHT +NF,524,VLI,1997,LNE,5904,,0,DHT BNI +NF,524,VLI,1997,LPM,5901,,0,DHT +NF,524,VLI,1997,NOU,2005,,0,ATR +NF,524,VLI,1997,NUS,5905,,0,YN2 DHT +NF,524,VLI,1997,PBJ,5900,,0,DHT +NF,524,VLI,1997,SON,5908,,0,ATR DHT +NF,524,VLI,1997,SWJ,5912,,0,DHT +NF,524,VLI,1997,SYD,3361,,0,738 +NF,524,VLI,1997,TAH,4242,,0,ATR YN2 DHT BNI +NF,524,VLI,1997,TGH,5909,,0,BNI +NF,524,VLI,1997,VLS,5911,,0,BNI +NF,524,VLS,5911,VLI,1997,,0,BNI +NF,524,WLH,6771,SON,5908,,0,DHT YN2 +NF,524,ZGU,5906,MTV,5893,,0,DHT +NF,524,ZGU,5906,SON,5908,,0,DHT YN2 +NF,524,ZGU,5906,TOH,5895,,0,DHT +NH,324,AKJ,2299,HND,2359,Y,0,737 763 735 +NH,324,AKJ,2299,NGO,3942,,0,737 +NH,324,AKJ,2299,TPE,2276,Y,0,332 +NH,324,AKL,2006,NRT,2279,Y,0,763 772 +NH,324,ATL,3682,IAD,3714,Y,0,ERJ E70 +NH,324,ATL,3682,ORD,3830,Y,0,CR7 +NH,324,AUH,2179,NRT,2279,Y,0,332 +NH,324,AUH,2179,PEK,3364,Y,0,332 +NH,324,AXT,2345,CTS,2287,Y,0,DH8 +NH,324,AXT,2345,HND,2359,,0,787 767 737 738 +NH,324,AXT,2345,ITM,2334,Y,0,DH8 +NH,324,AXT,2345,NGO,3942,Y,0,DH8 +NH,324,BKK,3885,BOM,2997,,0,777 +NH,324,BKK,3885,CEI,3932,Y,0,734 +NH,324,BKK,3885,CNX,3931,Y,0,AB6 +NH,324,BKK,3885,HKT,3179,Y,0,333 +NH,324,BKK,3885,HND,2359,,0,777 763 747 +NH,324,BKK,3885,KIX,3992,Y,0,773 +NH,324,BKK,3885,NGO,3942,Y,0,773 777 +NH,324,BKK,3885,NRT,2279,,0,777 76F +NH,324,BOM,2997,BKK,3885,,0,777 +NH,324,BOM,2997,NRT,2279,,0,737 +NH,324,CAN,3370,NRT,2279,,0,763 +NH,324,CDG,1382,HND,2359,,0,777 +NH,324,CDG,1382,NRT,2279,,0,777 +NH,324,CEI,3932,BKK,3885,Y,0,734 +NH,324,CGK,3275,HND,2359,,0,788 +NH,324,CGK,3275,KIX,3992,,0,332 +NH,324,CGK,3275,NRT,2279,,0,763 777 +NH,324,CJU,2370,FUK,2305,Y,0,320 +NH,324,CKG,3393,PVG,3406,Y,0,738 +NH,324,CTS,2287,AXT,2345,Y,0,DH8 +NH,324,CTS,2287,FKS,5999,Y,0,737 735 +NH,324,CTS,2287,FSZ,6476,,0,737 +NH,324,CTS,2287,FUK,2305,,0,772 767 +NH,324,CTS,2287,GUM,2246,Y,0,738 +NH,324,CTS,2287,HIJ,2326,,0,320 +NH,324,CTS,2287,HKD,2288,Y,0,DH8 +NH,324,CTS,2287,HND,2359,,0,772 773 787 320 767 737 +NH,324,CTS,2287,ITM,2334,,0,320 772 +NH,324,CTS,2287,KIJ,4381,Y,0,737 DH8 +NH,324,CTS,2287,KIX,3992,,0,737 +NH,324,CTS,2287,KMQ,2322,Y,0,737 +NH,324,CTS,2287,KUH,5994,,0,737 +NH,324,CTS,2287,MMB,2290,,0,DH8 +NH,324,CTS,2287,NGO,3942,,0,767 320 737 +NH,324,CTS,2287,NRT,2279,,0,320 737 +NH,324,CTS,2287,OKA,2384,Y,0,737 +NH,324,CTS,2287,OKJ,2327,Y,0,737 +NH,324,CTS,2287,PEK,3364,Y,0,738 +NH,324,CTS,2287,SDJ,2347,,0,735 737 +NH,324,CTS,2287,SHB,2291,,0,DH8 +NH,324,CTS,2287,TOY,2324,Y,0,737 735 +NH,324,CTS,2287,TPE,2276,Y,0,332 +NH,324,CTS,2287,UKB,3943,,0,737 +NH,324,CTS,2287,WKJ,2294,,0,DH8 +NH,324,CTU,3395,NRT,2279,,0,763 +NH,324,CTU,3395,PEK,3364,Y,0,320 +NH,324,CTU,3395,PVG,3406,Y,0,319 +NH,324,DEL,3093,NRT,2279,,0,763 +NH,324,DEN,3751,NRT,2279,Y,0,788 +NH,324,DLC,3404,FUK,2305,Y,0,738 +NH,324,DLC,3404,HIJ,2326,Y,0,738 +NH,324,DLC,3404,KIX,3992,,0,737 +NH,324,DLC,3404,NRT,2279,Y,0,738 763 +NH,324,DLC,3404,PEK,3364,Y,0,738 +NH,324,DLC,3404,TSN,3368,Y,0,738 +NH,324,DOH,2241,KIX,3992,Y,0,332 +NH,324,DOH,2241,NRT,2279,Y,0,77L +NH,324,DPS,3940,HND,2359,,0,332 +NH,324,DPS,3940,KIX,3992,,0,333 +NH,324,DPS,3940,NRT,2279,,0,333 +NH,324,DUS,345,NRT,2279,,0,788 +NH,324,EWR,3494,NRT,2279,Y,0,777 +NH,324,EWR,3494,YVR,156,,0,319 +NH,324,FKS,5999,CTS,2287,Y,0,737 735 +NH,324,FKS,5999,ITM,2334,Y,0,735 CRJ DH8 CR7 +NH,324,FOC,3385,KIX,3992,Y,0,320 +NH,324,FOC,3385,SZX,3374,Y,0,320 +NH,324,FRA,340,HND,2359,,0,788 744 77W +NH,324,FRA,340,KIX,3992,Y,0,744 +NH,324,FRA,340,NGO,3942,Y,0,343 +NH,324,FSZ,6476,CTS,2287,,0,737 +NH,324,FSZ,6476,ICN,3930,Y,0,320 +NH,324,FSZ,6476,OKA,2384,,0,737 +NH,324,FUJ,2304,FUK,2305,,0,DH8 +NH,324,FUJ,2304,NGS,2313,Y,0,DH2 +NH,324,FUK,2305,CJU,2370,Y,0,320 +NH,324,FUK,2305,CTS,2287,,0,772 767 +NH,324,FUK,2305,DLC,3404,Y,0,738 +NH,324,FUK,2305,FUJ,2304,Y,0,DH8 DH2 +NH,324,FUK,2305,GUM,2246,Y,0,738 73G +NH,324,FUK,2305,HND,2359,,0,773 772 767 787 738 +NH,324,FUK,2305,ICN,3930,Y,0,333 321 77L 763 +NH,324,FUK,2305,ISG,2387,,0,735 +NH,324,FUK,2305,ITM,2334,,0,735 767 737 +NH,324,FUK,2305,KIJ,4381,Y,0,735 +NH,324,FUK,2305,KIX,3992,,0,737 +NH,324,FUK,2305,KMI,2308,Y,0,DH8 CR7 CRJ +NH,324,FUK,2305,KMQ,2322,,0,735 +NH,324,FUK,2305,NGO,3942,,0,735 738 737 +NH,324,FUK,2305,NRT,2279,,0,735 738 +NH,324,FUK,2305,OKA,2384,,0,735 767 738 +NH,324,FUK,2305,SDJ,2347,,0,735 +NH,324,FUK,2305,SIN,3316,Y,0,333 +NH,324,FUK,2305,TPE,2276,Y,0,332 333 +NH,324,FUK,2305,TSJ,2297,Y,0,735 DH8 +NH,324,GMP,2378,HND,2359,,0,77W 777 +NH,324,GMP,2378,KIX,3992,Y,0,321 +NH,324,GUM,2246,CTS,2287,Y,0,738 +NH,324,GUM,2246,FUK,2305,Y,0,738 73G +NH,324,GUM,2246,KIX,3992,Y,0,73G 738 +NH,324,GUM,2246,NGO,3942,Y,0,73G 738 +NH,324,GUM,2246,NRT,2279,Y,0,777 +NH,324,GUM,2246,OKJ,2327,Y,0,73G +NH,324,GUM,2246,SDJ,2347,Y,0,73G +NH,324,HAC,2352,HND,2359,,0,738 320 +NH,324,HAN,3199,HND,2359,,0,763 +NH,324,HGH,3386,KIX,3992,,0,737 +NH,324,HGH,3386,NRT,2279,,0,737 +NH,324,HIJ,2326,CTS,2287,,0,320 +NH,324,HIJ,2326,DLC,3404,Y,0,738 +NH,324,HIJ,2326,HND,2359,,0,787 772 767 320 +NH,324,HIJ,2326,ICN,3930,Y,0,321 +NH,324,HIJ,2326,NRT,2279,Y,0,CR7 +NH,324,HIJ,2326,OKA,2384,,0,767 +NH,324,HIJ,2326,SDJ,2347,Y,0,CR7 CRJ +NH,324,HKD,2288,CTS,2287,Y,0,DH8 +NH,324,HKD,2288,HND,2359,,0,772 767 320 +NH,324,HKD,2288,KIX,3992,,0,737 +NH,324,HKD,2288,NGO,3942,,0,320 +NH,324,HKD,2288,TPE,2276,Y,0,332 +NH,324,HKG,3077,HND,2359,,0,777 +NH,324,HKG,3077,KIX,3992,,0,763 +NH,324,HKG,3077,NGO,3942,,0,737 +NH,324,HKG,3077,NRT,2279,Y,0,763 +NH,324,HND,2359,AKJ,2299,Y,0,737 763 735 +NH,324,HND,2359,AXT,2345,,0,767 737 787 738 +NH,324,HND,2359,BKK,3885,,0,777 747 763 +NH,324,HND,2359,CDG,1382,,0,777 +NH,324,HND,2359,CGK,3275,,0,788 +NH,324,HND,2359,CTS,2287,,0,737 773 772 787 767 320 +NH,324,HND,2359,DPS,3940,,0,332 +NH,324,HND,2359,FRA,340,,0,788 77W 744 +NH,324,HND,2359,FUK,2305,,0,767 772 787 773 738 +NH,324,HND,2359,GMP,2378,,0,777 77W +NH,324,HND,2359,HAC,2352,,0,738 320 +NH,324,HND,2359,HAN,3199,,0,763 +NH,324,HND,2359,HIJ,2326,,0,787 772 767 320 +NH,324,HND,2359,HKD,2288,,0,772 767 +NH,324,HND,2359,HKG,3077,,0,777 +NH,324,HND,2359,HNL,3728,Y,0,763 +NH,324,HND,2359,HSG,5996,,0,320 737 738 +NH,324,HND,2359,ICN,3930,Y,0,321 +NH,324,HND,2359,ISG,2387,,0,737 767 +NH,324,HND,2359,ITM,2334,,0,320 772 773 787 767 +NH,324,HND,2359,IWJ,5998,,0,320 737 +NH,324,HND,2359,IWK,\N,,0,737 738 +NH,324,HND,2359,KCZ,2332,,0,767 738 +NH,324,HND,2359,KIX,3992,,0,767 737 772 +NH,324,HND,2359,KKJ,2311,Y,0,320 +NH,324,HND,2359,KMI,2308,,0,320 787 767 +NH,324,HND,2359,KMJ,2312,,0,787 767 320 +NH,324,HND,2359,KMQ,2322,,0,772 767 320 787 +NH,324,HND,2359,KOJ,2307,,0,767 787 320 +NH,324,HND,2359,KUH,5994,,0,767 320 737 +NH,324,HND,2359,LAX,3484,,0,777 +NH,324,HND,2359,LHR,507,,0,77W +NH,324,HND,2359,MBE,2298,,0,738 +NH,324,HND,2359,MMB,2290,Y,0,737 735 +NH,324,HND,2359,MNL,2397,,0,788 +NH,324,HND,2359,MUC,346,,0,346 788 +NH,324,HND,2359,MYJ,2333,,0,772 787 767 +NH,324,HND,2359,NGS,2313,,0,772 +NH,324,HND,2359,NTQ,3409,,0,737 738 +NH,324,HND,2359,OBO,2286,Y,0,737 735 +NH,324,HND,2359,OIM,2356,Y,0,737 +NH,324,HND,2359,OIT,2310,,0,767 320 737 +NH,324,HND,2359,OKA,2384,,0,738 773 772 +NH,324,HND,2359,OKJ,2327,,0,787 767 738 +NH,324,HND,2359,ONJ,6000,,0,738 737 +NH,324,HND,2359,PEK,3364,,0,788 +NH,324,HND,2359,SHA,3391,,0,777 +NH,324,HND,2359,SHB,2291,,0,738 +NH,324,HND,2359,SIN,3316,,0,788 773 +NH,324,HND,2359,SYO,6001,,0,320 767 738 +NH,324,HND,2359,TAK,2337,,0,787 767 320 +NH,324,HND,2359,TKS,2336,,0,738 737 +NH,324,HND,2359,TOY,2324,,0,767 787 +NH,324,HND,2359,TSA,2275,,0,788 763 +NH,324,HND,2359,TTJ,2335,,0,738 737 320 +NH,324,HND,2359,UBJ,2296,,0,767 +NH,324,HND,2359,UKB,3943,,0,737 767 +NH,324,HND,2359,WKJ,2294,,0,737 +NH,324,HND,2359,YGJ,2330,,0,767 738 737 320 +NH,324,HND,2359,YVR,156,,0,763 +NH,324,HNL,3728,HND,2359,Y,0,763 +NH,324,HNL,3728,NRT,2279,Y,0,744 763 +NH,324,HSG,5996,HND,2359,,0,737 320 738 +NH,324,IAD,3714,ATL,3682,Y,0,CRJ +NH,324,IAD,3714,NRT,2279,,0,777 77W +NH,324,IAH,3550,NRT,2279,Y,0,777 +NH,324,ICN,3930,FSZ,6476,Y,0,320 +NH,324,ICN,3930,FUK,2305,Y,0,333 321 77L 763 +NH,324,ICN,3930,HIJ,2326,Y,0,321 +NH,324,ICN,3930,HND,2359,Y,0,321 +NH,324,ICN,3930,KIX,3992,Y,0,77L 74E 763 772 321 +NH,324,ICN,3930,KMI,2308,Y,0,321 +NH,324,ICN,3930,KMJ,2312,Y,0,321 320 +NH,324,ICN,3930,MYJ,2333,Y,0,321 +NH,324,ICN,3930,NGO,3942,Y,0,321 763 +NH,324,ICN,3930,NRT,2279,Y,0,333 321 738 772 74E +NH,324,ICN,3930,OKA,2384,Y,0,321 +NH,324,ICN,3930,SDJ,2347,Y,0,321 763 +NH,324,ICN,3930,TAK,2337,Y,0,321 320 +NH,324,ICN,3930,TOY,2324,Y,0,321 +NH,324,ICN,3930,YGJ,2330,Y,0,321 320 +NH,324,IKI,2295,NGS,2313,Y,0,DH2 +NH,324,ISG,2387,FUK,2305,,0,735 +NH,324,ISG,2387,HND,2359,,0,737 767 +NH,324,ISG,2387,KIX,3992,,0,737 +NH,324,ISG,2387,MMY,2390,,0,735 +NH,324,ISG,2387,NGO,3942,,0,737 +NH,324,ISG,2387,OKA,2384,,0,735 738 +NH,324,IST,1701,KIX,3992,Y,0,332 +NH,324,IST,1701,NRT,2279,Y,0,332 77W +NH,324,ITM,2334,AXT,2345,Y,0,DH8 +NH,324,ITM,2334,CTS,2287,,0,772 320 +NH,324,ITM,2334,FKS,5999,Y,0,735 CRJ DH8 CR7 +NH,324,ITM,2334,FUK,2305,,0,767 735 737 +NH,324,ITM,2334,HND,2359,,0,772 767 787 773 320 +NH,324,ITM,2334,KCZ,2332,Y,0,DH8 735 +NH,324,ITM,2334,KIJ,4381,,0,738 +NH,324,ITM,2334,KMI,2308,,0,737 735 DH8 +NH,324,ITM,2334,KMJ,2312,,0,320 DH8 735 +NH,324,ITM,2334,KOJ,2307,,0,320 767 735 +NH,324,ITM,2334,MYJ,2333,Y,0,DH8 737 320 767 +NH,324,ITM,2334,NGS,2313,,0,320 735 +NH,324,ITM,2334,NRT,2279,,0,738 767 +NH,324,ITM,2334,OIT,2310,Y,0,CR7 DH8 +NH,324,ITM,2334,OKA,2384,,0,738 767 +NH,324,ITM,2334,SDJ,2347,,0,320 767 +NH,324,IWJ,5998,HND,2359,,0,320 737 +NH,324,IWK,\N,HND,2359,,0,737 738 +NH,324,JFK,3797,NRT,2279,,0,77W +NH,324,KCZ,2332,HND,2359,,0,767 738 +NH,324,KCZ,2332,ITM,2334,Y,0,DH8 735 +NH,324,KHH,2264,NRT,2279,,0,321 +NH,324,KIJ,4381,CTS,2287,Y,0,DH8 737 +NH,324,KIJ,4381,FUK,2305,Y,0,735 +NH,324,KIJ,4381,ITM,2334,,0,738 +NH,324,KIJ,4381,NGO,3942,Y,0,DH8 +NH,324,KIJ,4381,NRT,2279,Y,0,DH8 +NH,324,KIJ,4381,OKA,2384,,0,735 +NH,324,KIX,3992,BKK,3885,Y,0,773 +NH,324,KIX,3992,CGK,3275,,0,332 +NH,324,KIX,3992,CTS,2287,,0,737 +NH,324,KIX,3992,DLC,3404,,0,737 +NH,324,KIX,3992,DOH,2241,Y,0,332 +NH,324,KIX,3992,DPS,3940,,0,333 +NH,324,KIX,3992,FOC,3385,Y,0,320 +NH,324,KIX,3992,FRA,340,Y,0,744 +NH,324,KIX,3992,FUK,2305,,0,737 +NH,324,KIX,3992,GMP,2378,Y,0,321 +NH,324,KIX,3992,GUM,2246,Y,0,73G 738 +NH,324,KIX,3992,HGH,3386,,0,737 +NH,324,KIX,3992,HKD,2288,,0,737 +NH,324,KIX,3992,HKG,3077,,0,763 +NH,324,KIX,3992,HND,2359,,0,320 772 737 767 +NH,324,KIX,3992,ICN,3930,Y,0,763 77L 74E 772 321 +NH,324,KIX,3992,ISG,2387,,0,737 +NH,324,KIX,3992,IST,1701,Y,0,332 +NH,324,KIX,3992,MFM,3121,Y,0,319 +NH,324,KIX,3992,NRT,2279,Y,0,744 +NH,324,KIX,3992,OKA,2384,,0,767 737 735 772 +NH,324,KIX,3992,PEK,3364,,0,737 +NH,324,KIX,3992,PVG,3406,,0,763 +NH,324,KIX,3992,SFO,3469,Y,0,777 788 +NH,324,KIX,3992,SIN,3316,Y,0,333 +NH,324,KIX,3992,TAO,3390,,0,763 +NH,324,KIX,3992,TNA,4108,Y,0,738 +NH,324,KIX,3992,TPE,2276,,0,321 +NH,324,KIX,3992,WUX,6390,Y,0,738 +NH,324,KKJ,2311,HND,2359,Y,0,320 +NH,324,KMI,2308,FUK,2305,Y,0,DH8 CR7 CRJ +NH,324,KMI,2308,HND,2359,,0,767 320 787 +NH,324,KMI,2308,ICN,3930,Y,0,321 +NH,324,KMI,2308,ITM,2334,,0,737 DH8 735 320 +NH,324,KMI,2308,NGO,3942,,0,737 735 DH8 +NH,324,KMI,2308,OKA,2384,Y,0,737 +NH,324,KMJ,2312,HND,2359,,0,787 767 320 +NH,324,KMJ,2312,ICN,3930,Y,0,321 320 +NH,324,KMJ,2312,ITM,2334,,0,320 DH8 738 735 +NH,324,KMJ,2312,NGO,3942,,0,320 +NH,324,KMJ,2312,OKA,2384,,0,737 +NH,324,KMQ,2322,CTS,2287,Y,0,737 +NH,324,KMQ,2322,FUK,2305,,0,735 +NH,324,KMQ,2322,HND,2359,,0,772 767 320 787 +NH,324,KMQ,2322,NRT,2279,Y,0,CR7 CRJ +NH,324,KMQ,2322,SDJ,2347,Y,0,CR7 CRJ +NH,324,KMQ,2322,TPE,2276,Y,0,321 332 +NH,324,KOJ,2307,HND,2359,,0,787 320 767 +NH,324,KOJ,2307,ITM,2334,,0,735 767 320 +NH,324,KOJ,2307,NGO,3942,,0,737 738 +NH,324,KOJ,2307,OKA,2384,,0,735 +NH,324,KUH,5994,CTS,2287,,0,737 +NH,324,KUH,5994,HND,2359,,0,767 320 737 +NH,324,LAX,3484,HND,2359,,0,777 +NH,324,LAX,3484,NRT,2279,,0,77W +NH,324,LHR,507,HND,2359,,0,77W +NH,324,LHR,507,LIS,1638,Y,0,320 321 319 +NH,324,LHR,507,NRT,2279,,0,346 343 +NH,324,LHR,507,WAW,679,Y,0,734 +NH,324,LIS,1638,LHR,507,Y,0,320 321 319 +NH,324,MBE,2298,HND,2359,,0,738 +NH,324,MFM,3121,KIX,3992,Y,0,319 +NH,324,MFM,3121,NRT,2279,Y,0,321 320 319 +NH,324,MMB,2290,CTS,2287,,0,DH8 +NH,324,MMB,2290,HND,2359,Y,0,737 735 +NH,324,MMB,2290,NGO,3942,,0,735 +NH,324,MMY,2390,ISG,2387,,0,735 +NH,324,MMY,2390,OKA,2384,,0,735 +NH,324,MNL,2397,HND,2359,,0,788 +NH,324,MNL,2397,NRT,2279,,0,763 +NH,324,MSY,3861,ORD,3830,Y,0,CR7 +NH,324,MUC,346,HND,2359,,0,346 788 +NH,324,MYJ,2333,HND,2359,,0,772 787 767 +NH,324,MYJ,2333,ICN,3930,Y,0,321 +NH,324,MYJ,2333,ITM,2334,Y,0,767 DH8 737 320 +NH,324,MYJ,2333,NGO,3942,Y,0,DH8 +NH,324,MYJ,2333,OKA,2384,,0,737 +NH,324,NGO,3942,AKJ,2299,,0,737 +NH,324,NGO,3942,AXT,2345,Y,0,DH8 +NH,324,NGO,3942,BKK,3885,Y,0,777 +NH,324,NGO,3942,CTS,2287,,0,320 737 767 +NH,324,NGO,3942,FRA,340,Y,0,343 +NH,324,NGO,3942,FUK,2305,,0,735 738 +NH,324,NGO,3942,GUM,2246,Y,0,73G 738 +NH,324,NGO,3942,HKD,2288,,0,320 +NH,324,NGO,3942,HKG,3077,,0,737 +NH,324,NGO,3942,ICN,3930,Y,0,321 763 +NH,324,NGO,3942,ISG,2387,,0,737 +NH,324,NGO,3942,KIJ,4381,Y,0,DH8 +NH,324,NGO,3942,KMI,2308,,0,735 320 +NH,324,NGO,3942,KMJ,2312,,0,737 320 +NH,324,NGO,3942,KOJ,2307,,0,735 738 737 +NH,324,NGO,3942,MMB,2290,,0,735 +NH,324,NGO,3942,MYJ,2333,Y,0,DH8 +NH,324,NGO,3942,NGS,2313,,0,737 +NH,324,NGO,3942,NRT,2279,,0,737 320 +NH,324,NGO,3942,OIT,2310,Y,0,CR7 +NH,324,NGO,3942,OKA,2384,,0,767 +NH,324,NGO,3942,PEK,3364,Y,0,738 +NH,324,NGO,3942,PVG,3406,,0,737 +NH,324,NGO,3942,SDJ,2347,,0,DH8 735 +NH,324,NGO,3942,SIN,3316,Y,0,333 +NH,324,NGS,2313,FUJ,2304,Y,0,DH2 +NH,324,NGS,2313,HND,2359,,0,772 +NH,324,NGS,2313,IKI,2295,Y,0,DH2 +NH,324,NGS,2313,ITM,2334,,0,735 737 +NH,324,NGS,2313,NGO,3942,,0,737 +NH,324,NGS,2313,OKA,2384,,0,320 +NH,324,NGS,2313,TSJ,2297,Y,0,DH2 +NH,324,NRT,2279,AKL,2006,Y,0,763 772 +NH,324,NRT,2279,AUH,2179,Y,0,332 +NH,324,NRT,2279,BKK,3885,,0,777 76F +NH,324,NRT,2279,BOM,2997,,0,737 +NH,324,NRT,2279,CAN,3370,,0,763 +NH,324,NRT,2279,CDG,1382,,0,777 +NH,324,NRT,2279,CGK,3275,,0,777 763 +NH,324,NRT,2279,CTS,2287,,0,320 737 +NH,324,NRT,2279,CTU,3395,,0,763 +NH,324,NRT,2279,DEL,3093,,0,763 +NH,324,NRT,2279,DEN,3751,Y,0,788 +NH,324,NRT,2279,DLC,3404,Y,0,763 738 +NH,324,NRT,2279,DOH,2241,Y,0,77L +NH,324,NRT,2279,DPS,3940,,0,333 +NH,324,NRT,2279,DUS,345,,0,788 +NH,324,NRT,2279,EWR,3494,Y,0,777 +NH,324,NRT,2279,FUK,2305,,0,738 737 735 +NH,324,NRT,2279,GUM,2246,Y,0,777 +NH,324,NRT,2279,HGH,3386,,0,737 +NH,324,NRT,2279,HIJ,2326,Y,0,CR7 CRJ +NH,324,NRT,2279,HKG,3077,Y,0,763 +NH,324,NRT,2279,HNL,3728,Y,0,744 763 +NH,324,NRT,2279,IAD,3714,,0,777 77W +NH,324,NRT,2279,IAH,3550,Y,0,777 +NH,324,NRT,2279,ICN,3930,Y,0,321 333 738 772 74E +NH,324,NRT,2279,IST,1701,Y,0,77W 332 +NH,324,NRT,2279,ITM,2334,,0,767 738 +NH,324,NRT,2279,JFK,3797,,0,77W +NH,324,NRT,2279,KHH,2264,,0,321 +NH,324,NRT,2279,KIJ,4381,Y,0,DH8 +NH,324,NRT,2279,KIX,3992,Y,0,744 +NH,324,NRT,2279,KMQ,2322,Y,0,CR7 +NH,324,NRT,2279,LAX,3484,,0,77W +NH,324,NRT,2279,LHR,507,,0,346 +NH,324,NRT,2279,MFM,3121,Y,0,321 320 319 +NH,324,NRT,2279,MNL,2397,,0,763 +NH,324,NRT,2279,NGO,3942,,0,320 735 +NH,324,NRT,2279,OKA,2384,,0,767 +NH,324,NRT,2279,ORD,3830,,0,77W 777 +NH,324,NRT,2279,PEK,3364,,0,763 +NH,324,NRT,2279,PVG,3406,,0,788 763 777 +NH,324,NRT,2279,RGN,3239,,0,763 +NH,324,NRT,2279,SDJ,2347,,0,735 737 +NH,324,NRT,2279,SEA,3577,,0,788 +NH,324,NRT,2279,SFO,3469,,0,77W +NH,324,NRT,2279,SGN,3205,Y,0,763 +NH,324,NRT,2279,SHE,4144,,0,737 +NH,324,NRT,2279,SIN,3316,,0,788 +NH,324,NRT,2279,SJC,3748,,0,788 +NH,324,NRT,2279,TAO,3390,,0,763 +NH,324,NRT,2279,TPE,2276,,0,763 +NH,324,NRT,2279,VIE,1613,Y,0,772 +NH,324,NRT,2279,XMN,3383,,0,763 +NH,324,NRT,2279,YVR,156,Y,0,763 +NH,324,NRT,2279,YYC,178,Y,0,763 +NH,324,NRT,2279,YYZ,193,Y,0,77W +NH,324,NRT,2279,ZRH,1678,Y,0,343 +NH,324,NTQ,3409,HND,2359,,0,737 738 +NH,324,OBO,2286,HND,2359,Y,0,737 735 +NH,324,OIM,2356,HND,2359,Y,0,737 +NH,324,OIT,2310,HND,2359,,0,320 767 737 +NH,324,OIT,2310,ITM,2334,Y,0,CR7 DH8 +NH,324,OIT,2310,NGO,3942,Y,0,CR7 +NH,324,OKA,2384,CTS,2287,Y,0,737 +NH,324,OKA,2384,FSZ,6476,,0,737 +NH,324,OKA,2384,FUK,2305,,0,767 738 735 +NH,324,OKA,2384,HIJ,2326,,0,767 +NH,324,OKA,2384,HND,2359,,0,772 773 738 +NH,324,OKA,2384,ICN,3930,Y,0,321 +NH,324,OKA,2384,ISG,2387,,0,735 738 +NH,324,OKA,2384,ITM,2334,,0,767 773 +NH,324,OKA,2384,KIJ,4381,,0,735 +NH,324,OKA,2384,KIX,3992,,0,737 735 767 772 +NH,324,OKA,2384,KMI,2308,Y,0,737 +NH,324,OKA,2384,KMJ,2312,,0,738 +NH,324,OKA,2384,KOJ,2307,,0,735 +NH,324,OKA,2384,MMY,2390,,0,735 +NH,324,OKA,2384,MYJ,2333,,0,737 +NH,324,OKA,2384,NGO,3942,,0,767 737 +NH,324,OKA,2384,NGS,2313,,0,737 +NH,324,OKA,2384,NRT,2279,,0,767 +NH,324,OKA,2384,PEK,3364,Y,0,738 +NH,324,OKA,2384,SDJ,2347,,0,767 +NH,324,OKA,2384,TAK,2337,Y,0,767 +NH,324,OKA,2384,UKB,3943,Y,0,737 +NH,324,OKJ,2327,CTS,2287,Y,0,737 +NH,324,OKJ,2327,GUM,2246,Y,0,73G +NH,324,OKJ,2327,HND,2359,,0,787 767 738 +NH,324,OKJ,2327,TPE,2276,Y,0,M90 +NH,324,ONJ,6000,HND,2359,,0,738 737 +NH,324,ORD,3830,ATL,3682,Y,0,CR7 +NH,324,ORD,3830,MSY,3861,Y,0,320 ERJ 319 +NH,324,ORD,3830,NRT,2279,,0,77W 777 +NH,324,PEK,3364,CTS,2287,Y,0,738 +NH,324,PEK,3364,CTU,3395,Y,0,320 +NH,324,PEK,3364,DLC,3404,Y,0,738 +NH,324,PEK,3364,HND,2359,,0,788 +NH,324,PEK,3364,KIX,3992,,0,737 +NH,324,PEK,3364,NGO,3942,Y,0,738 332 +NH,324,PEK,3364,NRT,2279,,0,763 +NH,324,PEK,3364,OKA,2384,Y,0,738 +NH,324,PEK,3364,PVG,3406,Y,0,738 +NH,324,PUS,2372,OKA,2384,Y,0,320 +NH,324,PVG,3406,CKG,3393,Y,0,738 +NH,324,PVG,3406,CTU,3395,Y,0,319 +NH,324,PVG,3406,KIX,3992,,0,763 +NH,324,PVG,3406,NGO,3942,,0,737 +NH,324,PVG,3406,NRT,2279,,0,777 788 763 +NH,324,PVG,3406,PEK,3364,Y,0,738 +NH,324,PVG,3406,SDJ,2347,Y,0,738 +NH,324,PVG,3406,SZX,3374,Y,0,321 +NH,324,RGN,3239,NRT,2279,,0,763 +NH,324,SDJ,2347,CTS,2287,,0,735 DH8 +NH,324,SDJ,2347,FUK,2305,,0,735 +NH,324,SDJ,2347,GUM,2246,Y,0,73G +NH,324,SDJ,2347,HIJ,2326,Y,0,CR7 +NH,324,SDJ,2347,ICN,3930,Y,0,321 763 +NH,324,SDJ,2347,ITM,2334,,0,767 320 +NH,324,SDJ,2347,KMQ,2322,Y,0,CR7 CRJ +NH,324,SDJ,2347,NGO,3942,,0,735 DH8 +NH,324,SDJ,2347,NRT,2279,,0,737 735 +NH,324,SDJ,2347,OKA,2384,,0,767 +NH,324,SDJ,2347,PVG,3406,Y,0,738 +NH,324,SDJ,2347,TPE,2276,Y,0,321 +NH,324,SEA,3577,NRT,2279,,0,788 +NH,324,SFO,3469,KIX,3992,Y,0,777 788 +NH,324,SFO,3469,NRT,2279,,0,77W +NH,324,SGN,3205,NRT,2279,Y,0,763 +NH,324,SHA,3391,HND,2359,,0,777 +NH,324,SHB,2291,CTS,2287,,0,DH8 +NH,324,SHB,2291,HND,2359,,0,738 +NH,324,SHE,4144,NRT,2279,,0,737 +NH,324,SIN,3316,FUK,2305,Y,0,333 +NH,324,SIN,3316,HND,2359,,0,333 788 +NH,324,SIN,3316,KIX,3992,Y,0,333 +NH,324,SIN,3316,NGO,3942,Y,0,333 +NH,324,SIN,3316,NRT,2279,,0,788 +NH,324,SJC,3748,NRT,2279,,0,788 +NH,324,SYO,6001,HND,2359,,0,738 320 767 +NH,324,SZX,3374,FOC,3385,Y,0,320 +NH,324,SZX,3374,HGH,3386,Y,0,738 +NH,324,SZX,3374,PVG,3406,Y,0,321 +NH,324,TAK,2337,HND,2359,,0,787 320 767 +NH,324,TAK,2337,ICN,3930,Y,0,321 320 +NH,324,TAK,2337,OKA,2384,Y,0,767 +NH,324,TAO,3390,KIX,3992,,0,763 +NH,324,TAO,3390,NRT,2279,,0,763 +NH,324,TKS,2336,HND,2359,,0,738 737 +NH,324,TNA,4108,KIX,3992,Y,0,738 +NH,324,TOY,2324,CTS,2287,Y,0,737 735 +NH,324,TOY,2324,HND,2359,,0,767 787 +NH,324,TOY,2324,ICN,3930,Y,0,321 +NH,324,TPE,2276,AKJ,2299,Y,0,332 +NH,324,TPE,2276,CTS,2287,Y,0,332 +NH,324,TPE,2276,FUK,2305,Y,0,332 333 +NH,324,TPE,2276,HKD,2288,Y,0,332 +NH,324,TPE,2276,KIX,3992,,0,321 +NH,324,TPE,2276,KMQ,2322,Y,0,321 332 +NH,324,TPE,2276,NRT,2279,,0,763 +NH,324,TPE,2276,OKJ,2327,Y,0,M90 +NH,324,TPE,2276,SDJ,2347,Y,0,321 +NH,324,TSA,2275,HND,2359,,0,788 763 +NH,324,TSJ,2297,FUK,2305,Y,0,735 DH8 +NH,324,TSJ,2297,NGS,2313,Y,0,DH2 +NH,324,TSN,3368,DLC,3404,Y,0,738 +NH,324,TTJ,2335,HND,2359,,0,738 737 320 +NH,324,UBJ,2296,HND,2359,,0,767 +NH,324,UKB,3943,CTS,2287,,0,737 +NH,324,UKB,3943,HND,2359,,0,767 737 +NH,324,UKB,3943,OKA,2384,Y,0,737 +NH,324,VIE,1613,NRT,2279,Y,0,772 +NH,324,WAW,679,LHR,507,Y,0,734 +NH,324,WKJ,2294,CTS,2287,,0,DH8 +NH,324,WKJ,2294,HND,2359,,0,737 +NH,324,WUX,6390,KIX,3992,Y,0,738 +NH,324,XMN,3383,NRT,2279,,0,763 +NH,324,YGJ,2330,HND,2359,,0,737 767 738 320 +NH,324,YGJ,2330,ICN,3930,Y,0,321 320 +NH,324,YVR,156,EWR,3494,,0,319 +NH,324,YVR,156,HND,2359,,0,763 +NH,324,YVR,156,NRT,2279,Y,0,763 +NH,324,YYC,178,NRT,2279,Y,0,763 +NH,324,YYZ,193,NRT,2279,Y,0,77W +NH,324,ZRH,1678,NRT,2279,Y,0,343 +NHG,3574,CCM,2541,FLN,2555,,0,L4T +NHG,3574,CFC,8244,CWB,2545,,0,L4T +NHG,3574,CFC,8244,JCB,7384,,0,L4T +NHG,3574,CWB,2545,CFC,8244,,0,L4T +NHG,3574,CWB,2545,FLN,2555,,0,L4T +NHG,3574,CWB,2545,GPB,7383,,0,L4T +NHG,3574,CWB,2545,XAP,2539,,0,L4T +NHG,3574,ERM,6477,JCB,7384,,0,L4T +NHG,3574,ERM,6477,PFB,2602,,0,L4T +NHG,3574,FLN,2555,CCM,2541,,0,L4T +NHG,3574,FLN,2555,CWB,2545,,0,L4T +NHG,3574,FLN,2555,JCB,7384,,0,L4T +NHG,3574,GEL,2596,POA,2599,,0,L4T +NHG,3574,GEL,2596,RIA,6040,,0,L4T +NHG,3574,GPB,7383,CWB,2545,,0,L4T +NHG,3574,JCB,7384,CFC,8244,,0,L4T +NHG,3574,JCB,7384,ERM,6477,,0,L4T +NHG,3574,JCB,7384,FLN,2555,,0,L4T +NHG,3574,PET,2603,POA,2599,,0,L4T +NHG,3574,PET,2603,RIG,2611,,0,L4T +NHG,3574,PFB,2602,ERM,6477,,0,L4T +NHG,3574,PFB,2602,POA,2599,,0,L4T +NHG,3574,POA,2599,ERM,6477,,0,L4T +NHG,3574,POA,2599,PFB,2602,,0,L4T +NHG,3574,POA,2599,RIA,6040,,0,L4T +NHG,3574,POA,2599,SRA,6069,,0,L4T +NHG,3574,RIA,6040,GEL,2596,,0,L4T +NHG,3574,RIA,6040,POA,2599,,0,L4T +NHG,3574,RIA,6040,URG,2632,,0,L4T +NHG,3574,RIG,2611,PET,2603,,0,L4T +NHG,3574,RIG,2611,POA,2599,,0,L4T +NHG,3574,SRA,6069,GEL,2596,,0,L4T +NHG,3574,URG,2632,RIA,6040,,0,L4T +NHG,3574,XAP,2539,CWB,2545,,0,L4T +NK,4687,ACY,3524,BOS,3448,,0,319 +NK,4687,ACY,3524,DTW,3645,,0,319 +NK,4687,ACY,3524,FLL,3533,,0,320 319 +NK,4687,ACY,3524,MCO,3878,,0,320 +NK,4687,ACY,3524,MYR,3515,,0,320 +NK,4687,ACY,3524,ORD,3830,,0,319 +NK,4687,ACY,3524,RSW,3793,,0,319 +NK,4687,ACY,3524,TPA,3646,,0,319 +NK,4687,ATL,3682,DFW,3670,,0,320 +NK,4687,ATL,3682,FLL,3533,,0,320 319 +NK,4687,AUA,2895,FLL,3533,,0,319 +NK,4687,AXM,2705,FLL,3533,,0,319 +NK,4687,BOG,2709,FLL,3533,,0,319 +NK,4687,BOS,3448,ACY,3524,,0,319 +NK,4687,BOS,3448,DFW,3670,,0,319 +NK,4687,BOS,3448,FLL,3533,,0,319 +NK,4687,BOS,3448,MYR,3515,,0,320 319 +NK,4687,BOS,3448,ORD,3830,,0,319 +NK,4687,BQN,2885,FLL,3533,,0,320 319 +NK,4687,BWI,3849,DFW,3670,,0,320 +NK,4687,BWI,3849,FLL,3533,,0,320 +NK,4687,BWI,3849,LAS,3877,,0,320 +NK,4687,BWI,3849,MSP,3858,,0,319 +NK,4687,BWI,3849,MYR,3515,,0,320 +NK,4687,CRW,4285,MYR,3515,,0,319 +NK,4687,CTG,2714,FLL,3533,,0,320 319 +NK,4687,CUN,1852,DFW,3670,,0,320 +NK,4687,CUN,1852,DTW,3645,,0,319 +NK,4687,CUN,1852,FLL,3533,,0,320 +NK,4687,DEN,3751,DFW,3670,,0,320 319 +NK,4687,DEN,3751,DTW,3645,,0,320 +NK,4687,DEN,3751,FLL,3533,,0,319 +NK,4687,DEN,3751,IAH,3550,,0,320 +NK,4687,DEN,3751,LAS,3877,,0,319 +NK,4687,DEN,3751,MSP,3858,,0,319 +NK,4687,DEN,3751,ORD,3830,,0,320 +NK,4687,DEN,3751,PHX,3462,,0,320 319 +NK,4687,DFW,3670,ATL,3682,,0,320 +NK,4687,DFW,3670,BOS,3448,,0,319 +NK,4687,DFW,3670,BWI,3849,,0,320 +NK,4687,DFW,3670,CUN,1852,,0,320 +NK,4687,DFW,3670,DEN,3751,,0,320 319 +NK,4687,DFW,3670,DTW,3645,,0,319 320 +NK,4687,DFW,3670,FLL,3533,,0,320 319 +NK,4687,DFW,3670,LAS,3877,,0,319 320 +NK,4687,DFW,3670,LAX,3484,,0,319 +NK,4687,DFW,3670,LGA,3697,,0,319 +NK,4687,DFW,3670,MCO,3878,,0,319 320 +NK,4687,DFW,3670,MSP,3858,,0,319 +NK,4687,DFW,3670,MSY,3861,,0,319 +NK,4687,DFW,3670,MYR,3515,,0,319 +NK,4687,DFW,3670,OAK,3453,,0,319 +NK,4687,DFW,3670,ORD,3830,,0,320 +NK,4687,DFW,3670,PDX,3720,,0,320 +NK,4687,DFW,3670,PHL,3752,,0,320 +NK,4687,DFW,3670,PHX,3462,,0,319 320 +NK,4687,DFW,3670,SAN,3731,,0,319 +NK,4687,DFW,3670,SJD,1840,,0,320 319 +NK,4687,DFW,3670,TPA,3646,,0,320 +NK,4687,DTW,3645,ACY,3524,,0,319 +NK,4687,DTW,3645,CUN,1852,,0,319 +NK,4687,DTW,3645,DEN,3751,,0,320 +NK,4687,DTW,3645,DFW,3670,,0,319 +NK,4687,DTW,3645,FLL,3533,,0,319 320 321 +NK,4687,DTW,3645,IAH,3550,,0,320 +NK,4687,DTW,3645,LAS,3877,,0,319 320 +NK,4687,DTW,3645,LAX,3484,,0,320 +NK,4687,DTW,3645,LGA,3697,,0,320 +NK,4687,DTW,3645,MCO,3878,,0,321 320 319 +NK,4687,DTW,3645,MYR,3515,,0,320 +NK,4687,DTW,3645,RSW,3793,,0,319 +NK,4687,DTW,3645,TPA,3646,,0,319 +NK,4687,FLL,3533,ACY,3524,,0,320 319 +NK,4687,FLL,3533,ATL,3682,,0,320 319 +NK,4687,FLL,3533,AUA,2895,,0,319 +NK,4687,FLL,3533,AXM,2705,,0,319 +NK,4687,FLL,3533,BOG,2709,,0,319 +NK,4687,FLL,3533,BOS,3448,,0,319 +NK,4687,FLL,3533,BQN,2885,,0,319 320 +NK,4687,FLL,3533,BWI,3849,,0,320 +NK,4687,FLL,3533,CTG,2714,,0,320 319 +NK,4687,FLL,3533,CUN,1852,,0,320 +NK,4687,FLL,3533,DEN,3751,,0,319 +NK,4687,FLL,3533,DFW,3670,,0,319 320 +NK,4687,FLL,3533,DTW,3645,,0,320 319 321 +NK,4687,FLL,3533,GUA,1767,,0,319 +NK,4687,FLL,3533,IAG,3630,,0,320 +NK,4687,FLL,3533,KIN,1779,,0,319 +NK,4687,FLL,3533,LAS,3877,,0,320 +NK,4687,FLL,3533,LAX,3484,,0,319 +NK,4687,FLL,3533,LBE,5747,,0,319 +NK,4687,FLL,3533,LGA,3697,,0,320 321 +NK,4687,FLL,3533,LIM,2789,,0,319 +NK,4687,FLL,3533,MBJ,1780,,0,319 +NK,4687,FLL,3533,MCO,3878,,0,320 +NK,4687,FLL,3533,MDE,2745,,0,320 +NK,4687,FLL,3533,MGA,1863,,0,320 +NK,4687,FLL,3533,MYR,3515,,0,320 319 +NK,4687,FLL,3533,ORD,3830,,0,320 319 +NK,4687,FLL,3533,PAP,1897,,0,319 +NK,4687,FLL,3533,PBG,3771,,0,320 +NK,4687,FLL,3533,PTY,1871,,0,320 319 +NK,4687,FLL,3533,PUJ,1760,,0,319 +NK,4687,FLL,3533,SAL,1892,,0,320 319 +NK,4687,FLL,3533,SAP,1772,,0,320 319 +NK,4687,FLL,3533,SDQ,1762,,0,319 +NK,4687,FLL,3533,SJO,1885,,0,320 +NK,4687,FLL,3533,SJU,2890,,0,321 320 +NK,4687,FLL,3533,STI,1764,,0,319 +NK,4687,FLL,3533,STT,2883,,0,319 +NK,4687,FLL,3533,SXM,2899,,0,320 +NK,4687,FLL,3533,TLC,1850,,0,319 +NK,4687,FLL,3533,TPA,3646,,0,319 321 +NK,4687,FLL,3533,ZSA,1956,,0,319 +NK,4687,GUA,1767,FLL,3533,,0,319 +NK,4687,IAG,3630,FLL,3533,,0,320 +NK,4687,IAG,3630,MYR,3515,,0,320 +NK,4687,IAH,3550,DEN,3751,,0,320 +NK,4687,IAH,3550,DTW,3645,,0,320 +NK,4687,IAH,3550,LAS,3877,,0,319 +NK,4687,IAH,3550,LAX,3484,,0,320 +NK,4687,IAH,3550,MCO,3878,,0,320 +NK,4687,IAH,3550,MSP,3858,,0,319 +NK,4687,IAH,3550,ORD,3830,,0,319 +NK,4687,KIN,1779,FLL,3533,,0,319 +NK,4687,LAS,3877,BWI,3849,,0,320 +NK,4687,LAS,3877,DEN,3751,,0,319 +NK,4687,LAS,3877,DFW,3670,,0,320 319 +NK,4687,LAS,3877,DTW,3645,,0,320 319 +NK,4687,LAS,3877,FLL,3533,,0,320 +NK,4687,LAS,3877,IAH,3550,,0,319 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+PG,1422,USM,3177,CNX,3931,,0,319 +PG,1422,USM,3177,HKG,3077,,0,319 +PG,1422,USM,3177,HKT,3179,,0,AT7 +PG,1422,USM,3177,KBV,3174,,0,AT7 +PG,1422,USM,3177,KUL,3304,,0,319 +PG,1422,USM,3177,SIN,3316,,0,319 +PG,1422,USM,3177,UTP,3161,,0,AT7 +PG,1422,UTH,3183,BKK,3885,,0,319 320 +PG,1422,UTP,3161,HKT,3179,,0,AT7 +PG,1422,UTP,3161,USM,3177,,0,AT7 +PG,1422,VTE,3120,BKK,3885,,0,319 +PI,3969,CKH,6093,YKS,2923,,0,AN4 +PI,3969,CYX,6094,YKS,2923,,0,AN4 +PI,3969,IKS,6095,YKS,2923,,0,AN4 +PI,3969,MQJ,\N,YKS,2923,,0,AN4 +PI,3969,NER,\N,YKS,2923,,0,AN4 +PI,3969,SUK,\N,YKS,2923,,0,AN4 +PI,3969,ULK,9026,YKS,2923,,0,AN4 +PI,3969,YKS,2923,CKH,6093,,0,AN4 +PI,3969,YKS,2923,CYX,6094,,0,AN4 +PI,3969,YKS,2923,IKS,6095,,0,AN4 +PI,3969,YKS,2923,MQJ,\N,,0,AN4 +PI,3969,YKS,2923,NER,\N,,0,AN4 +PI,3969,YKS,2923,SUK,\N,,0,AN4 +PI,3969,YKS,2923,ULK,9026,,0,AN4 +PJ,477,FSP,1441,YHZ,73,,0,ATR +PJ,477,FSP,1441,YUL,146,,0,ATR +PJ,477,FSP,1441,YYT,189,,0,ATR +PJ,477,YHZ,73,FSP,1441,,0,ATR +PJ,477,YUL,146,FSP,1441,,0,ATR +PJ,477,YYT,189,FSP,1441,,0,ATR +PK,3871,AUH,2179,ISB,2223,,0,310 +PK,3871,AUH,2179,KHI,2206,,0,310 73H +PK,3871,AUH,2179,LHE,2207,,0,310 73H +PK,3871,AUH,2179,PEW,2219,,0,310 +PK,3871,AUH,2179,RYK,2222,,0,737 +PK,3871,BAH,2057,LHE,2207,,0,73H 737 +PK,3871,BCN,1218,ISB,2223,,0,310 +PK,3871,BCN,1218,LHE,2207,,0,310 +PK,3871,BHV,5939,ISB,2223,,0,ATR +PK,3871,BHV,5939,KHI,2206,,0,ATR 737 +PK,3871,BHV,5939,LHE,2207,,0,ATR +PK,3871,BHX,469,ISB,2223,,0,777 +PK,3871,BOM,2997,KHI,2206,,0,737 320 +PK,3871,CDG,1382,ISB,2223,,0,777 +PK,3871,CDG,1382,LHE,2207,,0,777 +PK,3871,CDG,1382,MXP,1524,,0,777 +PK,3871,CJL,5940,ISB,2223,,0,ATR +PK,3871,CJL,5940,PEW,2219,,0,ATR +PK,3871,CPH,609,LHE,2207,,0,777 +PK,3871,CPH,609,OSL,644,,0,777 +PK,3871,DAC,3076,KHI,2206,,0,777 320 73H +PK,3871,DBA,5941,KHI,2206,,0,ATR +PK,3871,DEA,5942,KHI,2206,,0,737 ATR +PK,3871,DEA,5942,SHJ,2191,,0,737 +PK,3871,DEL,3093,KHI,2206,,0,73H +PK,3871,DEL,3093,LHE,2207,,0,73H +PK,3871,DMM,2064,ISB,2223,,0,310 +PK,3871,DMM,2064,KHI,2206,,0,310 737 +PK,3871,DMM,2064,LHE,2207,,0,310 +PK,3871,DMM,2064,SKT,6776,,0,310 +PK,3871,DOH,2241,BAH,2057,,0,73H +PK,3871,DOH,2241,PEW,2219,,0,310 +PK,3871,DSK,5943,PEW,2219,,0,ATR +PK,3871,DSK,5943,PZH,2233,,0,ATR +PK,3871,DXB,2188,ISB,2223,,0,310 +PK,3871,DXB,2188,KHI,2206,,0,73H 737 +PK,3871,DXB,2188,LHE,2207,,0,73H +PK,3871,GIL,2204,ISB,2223,,0,ATR +PK,3871,GWD,2203,KHI,2206,,0,ATR +PK,3871,GWD,2203,MCT,2194,,0,ATR +PK,3871,GWD,2203,TUK,5951,,0,ATR +PK,3871,ISB,2223,AUH,2179,,0,310 +PK,3871,ISB,2223,BCN,1218,,0,310 +PK,3871,ISB,2223,BHV,5939,,0,ATR +PK,3871,ISB,2223,BHX,469,,0,777 +PK,3871,ISB,2223,CDG,1382,,0,777 +PK,3871,ISB,2223,CJL,5940,,0,ATR +PK,3871,ISB,2223,CPH,609,,0,777 +PK,3871,ISB,2223,DMM,2064,,0,310 +PK,3871,ISB,2223,DXB,2188,,0,310 +PK,3871,ISB,2223,GIL,2204,,0,ATR +PK,3871,ISB,2223,JED,2072,,0,777 +PK,3871,ISB,2223,KBL,2050,,0,ATR +PK,3871,ISB,2223,KDU,5949,,0,ATR +PK,3871,ISB,2223,KHI,2206,,0,777 320 310 73H +PK,3871,ISB,2223,LBA,517,,0,310 +PK,3871,ISB,2223,LHE,2207,,0,ATR 310 737 +PK,3871,ISB,2223,LHR,507,,0,777 +PK,3871,ISB,2223,MAN,478,,0,777 +PK,3871,ISB,2223,MCT,2194,,0,310 +PK,3871,ISB,2223,MED,2074,,0,310 +PK,3871,ISB,2223,MUX,2214,,0,ATR +PK,3871,ISB,2223,MXP,1524,,0,777 +PK,3871,ISB,2223,PEK,3364,,0,310 +PK,3871,ISB,2223,PEW,2219,,0,310 ATR +PK,3871,ISB,2223,RUH,2082,,0,777 310 +PK,3871,ISB,2223,SHJ,2191,,0,310 +PK,3871,ISB,2223,SKT,6776,,0,310 +PK,3871,ISB,2223,SKZ,2227,,0,ATR +PK,3871,ISB,2223,UET,2221,,0,310 +PK,3871,ISB,2223,YYZ,193,,0,777 +PK,3871,JED,2072,ISB,2223,,0,777 +PK,3871,JED,2072,KHI,2206,,0,777 310 +PK,3871,JED,2072,LHE,2207,,0,777 310 +PK,3871,JED,2072,MUX,2214,,0,310 +PK,3871,JED,2072,PEW,2219,,0,777 +PK,3871,JED,2072,SKT,6776,,0,777 +PK,3871,JFK,3797,LHE,2207,,0,777 +PK,3871,KBL,2050,ISB,2223,,0,ATR +PK,3871,KBL,2050,PEW,2219,,0,ATR +PK,3871,KDU,5949,ISB,2223,,0,ATR +PK,3871,KHI,2206,AUH,2179,,0,73H 310 +PK,3871,KHI,2206,BHV,5939,,0,ATR 737 +PK,3871,KHI,2206,BOM,2997,,0,737 320 +PK,3871,KHI,2206,DAC,3076,,0,777 320 73H +PK,3871,KHI,2206,DEA,5942,,0,737 ATR +PK,3871,KHI,2206,DEL,3093,,0,73H +PK,3871,KHI,2206,DMM,2064,,0,310 737 +PK,3871,KHI,2206,DXB,2188,,0,73H 737 +PK,3871,KHI,2206,GWD,2203,,0,ATR +PK,3871,KHI,2206,ISB,2223,,0,310 320 ATR 777 73H +PK,3871,KHI,2206,JED,2072,,0,777 310 +PK,3871,KHI,2206,KTM,3125,,0,310 +PK,3871,KHI,2206,KUL,3304,,0,310 +PK,3871,KHI,2206,LHE,2207,,0,320 777 73H 310 737 +PK,3871,KHI,2206,LHR,507,,0,777 +PK,3871,KHI,2206,LYP,2202,,0,320 73H 737 +PK,3871,KHI,2206,MCT,2194,,0,320 +PK,3871,KHI,2206,MED,2074,,0,310 +PK,3871,KHI,2206,MJD,2212,,0,ATR +PK,3871,KHI,2206,MUX,2214,,0,ATR 73H 320 737 310 +PK,3871,KHI,2206,PEW,2219,,0,737 320 +PK,3871,KHI,2206,PJG,2217,,0,ATR +PK,3871,KHI,2206,RUH,2082,,0,777 +PK,3871,KHI,2206,RYK,2222,,0,ATR 737 +PK,3871,KHI,2206,SHJ,2191,,0,73H 310 737 320 +PK,3871,KHI,2206,SKZ,2227,,0,ATR 737 +PK,3871,KHI,2206,TUK,5951,,0,ATR +PK,3871,KHI,2206,UET,2221,,0,310 ATR +PK,3871,KHI,2206,YYZ,193,,0,777 +PK,3871,KTM,3125,KHI,2206,,0,310 +PK,3871,KUL,3304,KHI,2206,,0,310 +PK,3871,KUL,3304,LHE,2207,,0,310 +PK,3871,KUL,3304,PEW,2219,,0,310 +PK,3871,KWI,2176,LHE,2207,,0,73H +PK,3871,KWI,2176,PEW,2219,,0,73H +PK,3871,KWI,2176,SKT,6776,,0,310 +PK,3871,LBA,517,ISB,2223,,0,310 +PK,3871,LHE,2207,AUH,2179,,0,310 73H +PK,3871,LHE,2207,BAH,2057,,0,737 +PK,3871,LHE,2207,BCN,1218,,0,310 +PK,3871,LHE,2207,BHV,5939,,0,ATR +PK,3871,LHE,2207,DEA,5942,,0,737 +PK,3871,LHE,2207,DEL,3093,,0,73H +PK,3871,LHE,2207,DMM,2064,,0,310 +PK,3871,LHE,2207,DOH,2241,,0,73H +PK,3871,LHE,2207,DXB,2188,,0,73H +PK,3871,LHE,2207,ISB,2223,,0,ATR 310 737 +PK,3871,LHE,2207,JED,2072,,0,310 777 +PK,3871,LHE,2207,KHI,2206,,0,320 310 73H 777 737 +PK,3871,LHE,2207,KUL,3304,,0,310 +PK,3871,LHE,2207,KWI,2176,,0,73H 310 +PK,3871,LHE,2207,LHR,507,,0,777 +PK,3871,LHE,2207,MAN,478,,0,777 +PK,3871,LHE,2207,MCT,2194,,0,737 +PK,3871,LHE,2207,MED,2074,,0,777 +PK,3871,LHE,2207,MUX,2214,,0,737 ATR 320 +PK,3871,LHE,2207,MXP,1524,,0,777 +PK,3871,LHE,2207,OSL,644,,0,777 +PK,3871,LHE,2207,PEW,2219,,0,73H +PK,3871,LHE,2207,RUH,2082,,0,310 +PK,3871,LHE,2207,RYK,2222,,0,ATR +PK,3871,LHE,2207,SHJ,2191,,0,73H 310 +PK,3871,LHE,2207,SKZ,2227,,0,ATR 737 +PK,3871,LHE,2207,UET,2221,,0,737 +PK,3871,LHE,2207,YYZ,193,,0,777 +PK,3871,LHR,507,ISB,2223,,0,777 +PK,3871,LHR,507,KHI,2206,,0,777 +PK,3871,LHR,507,LHE,2207,,0,777 +PK,3871,LYP,2202,KHI,2206,,0,320 73H 737 +PK,3871,MAN,478,ISB,2223,,0,777 +PK,3871,MAN,478,JFK,3797,,0,777 +PK,3871,MAN,478,LHE,2207,,0,777 +PK,3871,MCT,2194,GWD,2203,,0,ATR +PK,3871,MCT,2194,ISB,2223,,0,310 +PK,3871,MCT,2194,KHI,2206,,0,320 +PK,3871,MCT,2194,LHE,2207,,0,737 +PK,3871,MCT,2194,PEW,2219,,0,310 +PK,3871,MCT,2194,SKT,6776,,0,310 +PK,3871,MCT,2194,TUK,5951,,0,ATR +PK,3871,MED,2074,ISB,2223,,0,310 +PK,3871,MED,2074,KHI,2206,,0,310 +PK,3871,MED,2074,LHE,2207,,0,777 +PK,3871,MED,2074,MUX,2214,,0,310 +PK,3871,MHD,4331,UET,2221,,0,737 +PK,3871,MJD,2212,KHI,2206,,0,ATR +PK,3871,MJD,2212,SKZ,2227,,0,ATR +PK,3871,MUX,2214,ISB,2223,,0,ATR +PK,3871,MUX,2214,JED,2072,,0,310 +PK,3871,MUX,2214,KHI,2206,,0,737 ATR 320 73H 310 +PK,3871,MUX,2214,LHE,2207,,0,ATR 73H 737 +PK,3871,MUX,2214,MED,2074,,0,310 +PK,3871,MUX,2214,SHJ,2191,,0,737 73H +PK,3871,MUX,2214,UET,2221,,0,ATR +PK,3871,MXP,1524,CDG,1382,,0,777 +PK,3871,MXP,1524,ISB,2223,,0,777 +PK,3871,NRT,2279,PEK,3364,,0,310 +PK,3871,OSL,644,CPH,609,,0,777 +PK,3871,OSL,644,ISB,2223,,0,777 +PK,3871,PEK,3364,ISB,2223,,0,310 +PK,3871,PEK,3364,NRT,2279,,0,310 +PK,3871,PEW,2219,AUH,2179,,0,310 73H +PK,3871,PEW,2219,CJL,5940,,0,ATR +PK,3871,PEW,2219,DOH,2241,,0,310 +PK,3871,PEW,2219,DSK,5943,,0,ATR +PK,3871,PEW,2219,ISB,2223,,0,310 ATR +PK,3871,PEW,2219,JED,2072,,0,777 +PK,3871,PEW,2219,KBL,2050,,0,ATR +PK,3871,PEW,2219,KHI,2206,,0,310 737 +PK,3871,PEW,2219,KUL,3304,,0,310 +PK,3871,PEW,2219,KWI,2176,,0,73H +PK,3871,PEW,2219,LHE,2207,,0,310 73H +PK,3871,PEW,2219,MCT,2194,,0,310 +PK,3871,PEW,2219,RUH,2082,,0,310 +PK,3871,PEW,2219,SHJ,2191,,0,310 737 320 +PK,3871,PJG,2217,KHI,2206,,0,ATR +PK,3871,PZH,2233,DSK,5943,,0,ATR +PK,3871,PZH,2233,UET,2221,,0,ATR +PK,3871,RUH,2082,ISB,2223,,0,777 +PK,3871,RUH,2082,KHI,2206,,0,777 310 +PK,3871,RUH,2082,LHE,2207,,0,310 +PK,3871,RUH,2082,PEW,2219,,0,310 +PK,3871,RUH,2082,SKT,6776,,0,310 +PK,3871,RYK,2222,AUH,2179,,0,737 +PK,3871,RYK,2222,KHI,2206,,0,ATR 737 +PK,3871,RYK,2222,LHE,2207,,0,ATR 737 +PK,3871,SHJ,2191,DEA,5942,,0,737 +PK,3871,SHJ,2191,ISB,2223,,0,310 +PK,3871,SHJ,2191,KHI,2206,,0,320 73H 310 737 +PK,3871,SHJ,2191,LHE,2207,,0,73H 310 +PK,3871,SHJ,2191,MUX,2214,,0,737 73H +PK,3871,SHJ,2191,PEW,2219,,0,310 737 320 +PK,3871,SHJ,2191,TUK,5951,,0,ATR +PK,3871,SHJ,2191,UET,2221,,0,737 +PK,3871,SKT,6776,DMM,2064,,0,310 +PK,3871,SKT,6776,ISB,2223,,0,310 +PK,3871,SKT,6776,JED,2072,,0,777 +PK,3871,SKT,6776,KWI,2176,,0,310 +PK,3871,SKT,6776,MCT,2194,,0,310 +PK,3871,SKT,6776,RUH,2082,,0,310 +PK,3871,SKZ,2227,BHV,5939,,0,ATR +PK,3871,SKZ,2227,ISB,2223,,0,ATR +PK,3871,SKZ,2227,KHI,2206,,0,ATR 737 +PK,3871,SKZ,2227,LHE,2207,,0,ATR 737 +PK,3871,SKZ,2227,MJD,2212,,0,ATR +PK,3871,TUK,5951,DBA,5941,,0,ATR +PK,3871,TUK,5951,GWD,2203,,0,ATR +PK,3871,TUK,5951,KHI,2206,,0,ATR +PK,3871,TUK,5951,MCT,2194,,0,ATR +PK,3871,TUK,5951,SHJ,2191,,0,ATR +PK,3871,TUK,5951,UET,2221,,0,ATR +PK,3871,UET,2221,ISB,2223,,0,310 +PK,3871,UET,2221,KHI,2206,,0,ATR 310 +PK,3871,UET,2221,LHE,2207,,0,737 +PK,3871,UET,2221,MHD,4331,,0,737 +PK,3871,UET,2221,MUX,2214,,0,ATR +PK,3871,UET,2221,PZH,2233,,0,ATR +PK,3871,UET,2221,SHJ,2191,,0,737 +PK,3871,UET,2221,TUK,5951,,0,ATR +PK,3871,YYZ,193,ISB,2223,,0,777 +PK,3871,YYZ,193,KHI,2206,,0,777 +PK,3871,YYZ,193,LHE,2207,,0,777 +PL,179,ATC,5857,NAS,1953,,0,ATP +PL,179,ELH,1943,NAS,1953,,0,ATP +PL,179,GHB,1944,NAS,1953,,0,ATP +PL,179,LGI,1950,NAS,1953,,0,ATP +PL,179,NAS,1953,ATC,5857,,0,ATP +PL,179,NAS,1953,ELH,1943,,0,ATP +PL,179,NAS,1953,GHB,1944,,0,ATP +PL,179,NAS,1953,LGI,1950,,0,ATP +PL,179,NAS,1953,RCY,\N,,0,ATP +PL,179,NAS,1953,RSD,1946,,0,ATP +PL,179,NAS,1953,SML,1951,,0,ATP +PL,179,NAS,1953,TBI,\N,,0,ATP +PL,179,NAS,1953,ZSA,1956,,0,ATP +PL,179,RCY,\N,NAS,1953,,0,ATP +PL,179,RSD,1946,NAS,1953,,0,ATP +PL,179,SML,1951,NAS,1953,,0,ATP +PL,179,TBI,\N,NAS,1953,,0,ATP +PL,179,ZSA,1956,NAS,1953,,0,ATP +PM,5016,ACE,1055,LPA,1054,,0,AT4 +PM,5016,EUN,5672,LPA,1054,,0,AT4 +PM,5016,FUE,1051,LPA,1054,,0,SWM AT4 +PM,5016,GLN,\N,LPA,1054,,0,AT4 +PM,5016,LPA,1054,ACE,1055,,0,AT4 +PM,5016,LPA,1054,EUN,5672,,0,AT4 +PM,5016,LPA,1054,FUE,1051,,0,SWM AT4 +PM,5016,LPA,1054,GLN,\N,,0,AT4 +PM,5016,LPA,1054,NDB,1097,,0,SWM AT4 +PM,5016,LPA,1054,TFN,1057,,0,AT4 +PM,5016,LPA,1054,VIL,5670,,0,AT4 +PM,5016,NDB,1097,LPA,1054,,0,SWM AT4 +PM,5016,SPC,1053,TFN,1057,,0,AT4 +PM,5016,TFN,1057,LPA,1054,,0,AT4 +PM,5016,TFN,1057,SPC,1053,,0,AT4 +PM,5016,VIL,5670,LPA,1054,,0,AT4 +PN,12978,CAN,3370,CKG,3393,,0,320 +PN,12978,CGO,3375,CKG,3393,,0,320 +PN,12978,CGO,3375,DLC,3404,,0,320 +PN,12978,CGO,3375,FOC,3385,,0,320 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+PS,5282,KBP,2939,DOK,2940,,0,734 736 +PS,5282,KBP,2939,DXB,2188,,0,73J 738 73N +PS,5282,KBP,2939,EVN,3964,,0,734 73G 735 +PS,5282,KBP,2939,FCO,1555,,0,73R 73N 734 +PS,5282,KBP,2939,FRA,340,,0,738 +PS,5282,KBP,2939,GVA,1665,,0,E90 +PS,5282,KBP,2939,GYD,2922,,0,737 +PS,5282,KBP,2939,HEL,421,,0,735 E90 +PS,5282,KBP,2939,HER,1452,,0,737 +PS,5282,KBP,2939,HRK,6105,,0,735 +PS,5282,KBP,2939,IFO,6106,,0,ER4 +PS,5282,KBP,2939,IST,1701,,0,735 738 73R +PS,5282,KBP,2939,JFK,3797,,0,767 +PS,5282,KBP,2939,KGD,2952,,0,73G 735 +PS,5282,KBP,2939,LCA,1197,,0,73J +PS,5282,KBP,2939,LED,2948,,0,734 735 73N +PS,5282,KBP,2939,LGW,502,,0,73H E90 735 73N +PS,5282,KBP,2939,LIS,1638,,0,738 +PS,5282,KBP,2939,LWO,2945,,0,735 736 E90 +PS,5282,KBP,2939,MAD,1229,,0,738 73G +PS,5282,KBP,2939,MSQ,2954,,0,737 +PS,5282,KBP,2939,MUC,346,,0,734 +PS,5282,KBP,2939,MXP,1524,,0,73N 73R +PS,5282,KBP,2939,NCE,1354,,0,73N +PS,5282,KBP,2939,ODS,2947,,0,735 738 +PS,5282,KBP,2939,OVB,4078,,0,738 +PS,5282,KBP,2939,PRG,1587,,0,736 +PS,5282,KBP,2939,RHO,1472,,0,737 +PS,5282,KBP,2939,RIX,3953,Y,0,DH4 +PS,5282,KBP,2939,ROV,2964,,0,73J +PS,5282,KBP,2939,SAW,4317,,0,738 +PS,5282,KBP,2939,SVX,2975,,0,73N +PS,5282,KBP,2939,TBS,3973,,0,735 73R 73G 734 +PS,5282,KBP,2939,TFS,1056,,0,737 +PS,5282,KBP,2939,TLV,1590,,0,738 73H +PS,5282,KBP,2939,TSE,2910,,0,73J +PS,5282,KBP,2939,TXL,351,,0,735 +PS,5282,KBP,2939,VIE,1613,,0,E90 73G 735 +PS,5282,KBP,2939,VNO,3959,,0,73G 735 E90 +PS,5282,KBP,2939,WAW,679,,0,73G +PS,5282,KBP,2939,ZRH,1678,,0,73N 320 735 +PS,5282,KGD,2952,KBP,2939,,0,73G 735 +PS,5282,LCA,1197,DOK,2940,,0,737 +PS,5282,LCA,1197,KBP,2939,,0,73J +PS,5282,LCA,1197,LWO,2945,,0,737 +PS,5282,LCA,1197,ODS,2947,,0,737 +PS,5282,LED,2948,KBP,2939,,0,E90 734 735 73N +PS,5282,LGW,502,KBP,2939,,0,73N 73H E90 735 +PS,5282,LIS,1638,KBP,2939,,0,738 +PS,5282,LWO,2945,KBP,2939,,0,E90 735 736 +PS,5282,LWO,2945,LCA,1197,,0,737 +PS,5282,LWO,2945,VIE,1613,Y,0,F70 +PS,5282,MAD,1229,KBP,2939,,0,738 73G +PS,5282,MSQ,2954,KBP,2939,,0,737 +PS,5282,MUC,346,KBP,2939,,0,734 +PS,5282,MXP,1524,KBP,2939,,0,73N 73R +PS,5282,NCE,1354,KBP,2939,,0,73N +PS,5282,ODS,2947,DME,4029,Y,0,319 +PS,5282,ODS,2947,IST,1701,,0,320 734 738 +PS,5282,ODS,2947,KBP,2939,,0,738 735 +PS,5282,ODS,2947,LCA,1197,,0,737 +PS,5282,ODS,2947,TLV,1590,,0,738 +PS,5282,ODS,2947,VIE,1613,,0,E90 +PS,5282,OVB,4078,KBP,2939,,0,738 +PS,5282,PRG,1587,KBP,2939,,0,736 +PS,5282,RHO,1472,KBP,2939,,0,737 +PS,5282,RIX,3953,KBP,2939,Y,0,DH4 +PS,5282,ROV,2964,KBP,2939,,0,73J +PS,5282,SAW,4317,KBP,2939,,0,738 +PS,5282,SVX,2975,KBP,2939,,0,73G 73N +PS,5282,TBS,3973,KBP,2939,,0,73R 735 73G 734 +PS,5282,TFS,1056,KBP,2939,,0,737 +PS,5282,TLV,1590,DNK,2941,,0,734 73G +PS,5282,TLV,1590,DOK,2940,,0,734 +PS,5282,TLV,1590,KBP,2939,,0,73H 738 +PS,5282,TLV,1590,ODS,2947,,0,738 +PS,5282,TSE,2910,KBP,2939,,0,73J +PS,5282,TXL,351,KBP,2939,,0,735 +PS,5282,VIE,1613,HRK,6105,Y,0,F70 +PS,5282,VIE,1613,KBP,2939,,0,E90 73G 735 +PS,5282,VIE,1613,LWO,2945,Y,0,DH4 +PS,5282,VIE,1613,ODS,2947,,0,E90 +PS,5282,VNO,3959,KBP,2939,,0,735 73G E90 +PS,5282,WAW,679,KBP,2939,,0,73G +PS,5282,ZRH,1678,KBP,2939,,0,320 73N 735 +PV,3834,ANU,2874,SBH,6460,,0,BNT +PV,3834,SBH,6460,ANU,2874,,0,BNT +PV,3834,SBH,6460,SFG,2879,,0,BNT +PV,3834,SBH,6460,SXM,2899,,0,CNC BNT +PV,3834,SFG,2879,SBH,6460,,0,BNT +PV,3834,SXM,2899,SBH,6460,,0,CNC BNT +PW,4031,ARK,1176,ZNZ,1186,,0,AT4 AT7 +PW,4031,BKZ,5703,MWZ,1183,,0,AT5 +PW,4031,DAR,1177,ARK,1176,,0,AT4 AT7 +PW,4031,DAR,1177,EBB,1187,,0,CRJ +PW,4031,DAR,1177,HAH,912,,0,AT7 +PW,4031,DAR,1177,JRO,1180,,0,AT7 AT4 +PW,4031,DAR,1177,MBI,\N,,0,AT7 +PW,4031,DAR,1177,MWZ,1183,,0,AT7 AT5 +PW,4031,DAR,1177,MYW,1182,,0,AT4 AT7 +PW,4031,DAR,1177,NBO,4059,,0,E90 +PW,4031,DAR,1177,ZNZ,1186,,0,AT7 AT4 +PW,4031,EBB,1187,DAR,1177,,0,CRJ +PW,4031,EBB,1187,JRO,1180,,0,CRJ AT4 +PW,4031,HAH,912,DAR,1177,,0,AT7 +PW,4031,JRO,1180,DAR,1177,,0,AT7 AT4 +PW,4031,JRO,1180,EBB,1187,,0,CRJ AT4 +PW,4031,JRO,1180,MWZ,1183,,0,AT7 +PW,4031,JRO,1180,NBO,4059,,0,AT7 E70 +PW,4031,JRO,1180,ZNZ,1186,,0,AT7 AT4 +PW,4031,MBI,\N,DAR,1177,,0,AT7 +PW,4031,MWZ,1183,BKZ,5703,,0,AT5 +PW,4031,MWZ,1183,DAR,1177,,0,AT7 AT5 +PW,4031,MWZ,1183,JRO,1180,,0,AT7 +PW,4031,MWZ,1183,NBO,4059,,0,AT5 +PW,4031,MYW,1182,DAR,1177,,0,AT4 AT7 +PW,4031,NBO,4059,DAR,1177,,0,E90 +PW,4031,NBO,4059,JRO,1180,,0,AT7 E70 +PW,4031,NBO,4059,MWZ,1183,,0,AT5 +PW,4031,NBO,4059,ZNZ,1186,,0,AT7 +PW,4031,ZNZ,1186,DAR,1177,,0,AT7 AT4 +PW,4031,ZNZ,1186,NBO,4059,,0,AT7 +PX,328,BNE,3320,POM,5,,0,763 738 +PX,328,BUA,5419,LNV,5979,,0,DH8 +PX,328,BUA,5419,POM,5,,0,100 +PX,328,BUA,5419,RAB,5435,,0,100 DH8 +PX,328,BUL,\N,POM,5,,0,DH8 +PX,328,CEB,4206,POM,5,,0,738 +PX,328,CMU,5420,POM,5,,0,DH8 +PX,328,CNS,3322,POM,5,,0,DH4 +PX,328,CNS,3322,RAB,5435,,0,DH4 +PX,328,DAU,5421,POM,5,,0,DH4 DH3 +PX,328,DPS,3940,POM,5,,0,738 +PX,328,GKA,1,POM,5,,0,DH4 DH8 DH3 +PX,328,GUR,5422,MIS,5432,,0,DH8 +PX,328,GUR,5422,POM,5,,0,DH3 DH4 DH8 +PX,328,HGU,3,POM,5,,0,100 +PX,328,HGU,3,WWK,6,,0,100 +PX,328,HIR,4074,NAN,1960,,0,737 +PX,328,HIR,4074,POM,5,,0,737 DH4 +PX,328,HKG,3077,POM,5,,0,763 +PX,328,HKN,5424,LAE,4,,0,DH4 +PX,328,HKN,5424,POM,5,,0,DH4 +PX,328,HKN,5424,RAB,5435,,0,DH4 +PX,328,KVG,5428,MAS,5430,,0,100 +PX,328,KVG,5428,POM,5,,0,100 DH4 +PX,328,KVG,5428,RAB,5435,,0,100 +PX,328,LAE,4,HKN,5424,,0,DH4 +PX,328,LAE,4,POM,5,,0,100 DH4 +PX,328,LNV,5979,POM,5,,0,DH3 DH8 +PX,328,LNV,5979,RAB,5435,,0,DH3 +PX,328,MAG,2,MAS,5430,,0,100 +PX,328,MAG,2,POM,5,,0,DH4 100 +PX,328,MAG,2,VAI,5436,,0,DH4 +PX,328,MAG,2,WWK,6,,0,100 DH4 +PX,328,MAS,5430,KVG,5428,,0,100 +PX,328,MAS,5430,MAG,2,,0,100 +PX,328,MAS,5430,POM,5,,0,100 737 +PX,328,MAS,5430,RAB,5435,,0,100 +PX,328,MDU,5429,POM,5,,0,DH8 +PX,328,MIS,5432,BUA,5419,,0,DH8 +PX,328,MNL,2397,POM,5,,0,738 +PX,328,MXH,5431,HGU,3,,0,DH3 +PX,328,NAN,1960,HIR,4074,,0,737 +PX,328,NAN,1960,POM,5,,0,737 +PX,328,NRT,2279,POM,5,,0,738 +PX,328,PNP,5423,POM,5,,0,DH3 DH4 DH8 +PX,328,POM,5,BNE,3320,,0,763 738 +PX,328,POM,5,BUA,5419,,0,100 +PX,328,POM,5,CEB,4206,,0,738 +PX,328,POM,5,CMU,5420,,0,DH8 +PX,328,POM,5,CNS,3322,,0,DH4 +PX,328,POM,5,DAU,5421,,0,DH4 DH3 +PX,328,POM,5,DPS,3940,,0,738 +PX,328,POM,5,GKA,1,,0,DH4 DH8 DH3 +PX,328,POM,5,GUR,5422,,0,DH3 DH4 DH8 +PX,328,POM,5,HGU,3,,0,100 +PX,328,POM,5,HIR,4074,,0,DH4 737 +PX,328,POM,5,HKG,3077,,0,763 +PX,328,POM,5,HKN,5424,,0,DH4 +PX,328,POM,5,KVG,5428,,0,DH4 100 +PX,328,POM,5,LAE,4,,0,100 DH4 +PX,328,POM,5,LNV,5979,,0,DH8 DH3 +PX,328,POM,5,MAG,2,,0,100 DH4 +PX,328,POM,5,MAS,5430,,0,100 737 +PX,328,POM,5,MDU,5429,,0,DH8 +PX,328,POM,5,MNL,2397,,0,738 +PX,328,POM,5,NAN,1960,,0,737 +PX,328,POM,5,NRT,2279,,0,738 +PX,328,POM,5,PNP,5423,,0,DH3 DH4 DH8 +PX,328,POM,5,RAB,5435,,0,100 DH4 +PX,328,POM,5,SIN,3316,,0,763 738 +PX,328,POM,5,SYD,3361,,0,738 +PX,328,POM,5,TBG,5434,,0,DH3 +PX,328,POM,5,TIZ,5433,,0,DH8 DH3 +PX,328,POM,5,UNG,5425,,0,DH8 DH3 +PX,328,POM,5,VAI,5436,,0,DH4 +PX,328,POM,5,WBM,5437,,0,DH8 +PX,328,POM,5,WWK,6,,0,100 DH4 +PX,328,RAB,5435,BUA,5419,,0,100 +PX,328,RAB,5435,CNS,3322,,0,DH4 +PX,328,RAB,5435,HKN,5424,,0,DH4 +PX,328,RAB,5435,KVG,5428,,0,100 +PX,328,RAB,5435,LNV,5979,,0,DH3 DH8 +PX,328,RAB,5435,MAS,5430,,0,100 +PX,328,RAB,5435,POM,5,,0,100 DH4 +PX,328,SIN,3316,POM,5,,0,763 738 +PX,328,SYD,3361,POM,5,,0,738 +PX,328,TBG,5434,POM,5,,0,DH3 +PX,328,TIZ,5433,POM,5,,0,DH8 DH3 +PX,328,UNG,5425,POM,5,,0,DH8 DH3 +PX,328,VAI,5436,MAG,2,,0,DH4 +PX,328,VAI,5436,POM,5,,0,DH4 +PX,328,VAI,5436,WWK,6,,0,DH4 +PX,328,WBM,5437,POM,5,,0,DH8 +PX,328,WWK,6,HGU,3,,0,100 +PX,328,WWK,6,MAG,2,,0,100 DH4 +PX,328,WWK,6,POM,5,,0,100 DH4 +PX,328,WWK,6,VAI,5436,,0,DH4 +PY,4752,AMS,580,PBM,2773,,0,343 +PY,4752,AUA,2895,MIA,3576,,0,733 +PY,4752,AUA,2895,PBM,2773,,0,733 +PY,4752,BEL,2526,CAY,2774,,0,733 +PY,4752,BEL,2526,PBM,2773,,0,733 +PY,4752,CAY,2774,BEL,2526,,0,733 +PY,4752,CAY,2774,PBM,2773,,0,733 +PY,4752,CUR,2897,POS,2902,,0,733 +PY,4752,GEO,4304,MIA,3576,,0,733 +PY,4752,GEO,4304,PBM,2773,,0,733 +PY,4752,MIA,3576,AUA,2895,,0,733 +PY,4752,MIA,3576,GEO,4304,,0,733 +PY,4752,PBM,2773,AMS,580,,0,343 +PY,4752,PBM,2773,AUA,2895,,0,733 +PY,4752,PBM,2773,BEL,2526,,0,733 +PY,4752,PBM,2773,CAY,2774,,0,733 +PY,4752,PBM,2773,GEO,4304,,0,733 +PY,4752,PBM,2773,POS,2902,,0,733 +PY,4752,POS,2902,CUR,2897,,0,733 +PY,4752,POS,2902,PBM,2773,,0,733 +PZ,5156,AGT,4305,ASU,2699,,0,320 +PZ,5156,AGT,4305,GRU,2564,,0,320 +PZ,5156,ASU,2699,AGT,4305,,0,320 +PZ,5156,ASU,2699,EZE,3988,,0,320 +PZ,5156,ASU,2699,GRU,2564,,0,320 +PZ,5156,ASU,2699,SCL,2650,,0,320 +PZ,5156,ASU,2699,VVI,2771,,0,320 +PZ,5156,EZE,3988,ASU,2699,,0,320 +PZ,5156,EZE,3988,GIG,2560,,0,320 +PZ,5156,EZE,3988,GRU,2564,,0,320 +PZ,5156,GIG,2560,EZE,3988,,0,320 +PZ,5156,GRU,2564,AGT,4305,,0,320 +PZ,5156,GRU,2564,ASU,2699,,0,320 +PZ,5156,GRU,2564,EZE,3988,,0,320 +PZ,5156,GRU,2564,MVD,2816,,0,320 +PZ,5156,MVD,2816,GRU,2564,,0,320 +PZ,5156,SCL,2650,ASU,2699,,0,320 +PZ,5156,VVI,2771,ASU,2699,,0,320 +Q2,13108,CMB,3024,GAN,6183,,0,320 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+Q2,13108,TRV,3153,HAQ,6184,,0,DH8 +Q2,13108,TRV,3153,MLE,3156,,0,DH8 320 +Q3,18700,AXA,2900,SXM,2899,,0,BNI +Q3,18700,SXM,2899,AXA,2900,,0,BNI +Q5,10,CKX,\N,TKJ,\N,,0,CNA +Q5,10,FAI,3832,HKB,7242,,0,CNA +Q5,10,HKB,7242,FAI,3832,,0,CNA +Q5,10,TKJ,\N,CKX,\N,,0,CNA +Q6,753,ABM,3318,CNS,3322,,0,DH1 +Q6,753,AUU,6237,CNS,3322,,0,DH1 +Q6,753,AUU,6237,CUQ,6260,,0,DH1 +Q6,753,BEU,6243,BQL,6248,,0,DH1 +Q6,753,BEU,6243,BVI,6240,,0,DH1 +Q6,753,BNE,3320,RMA,6324,,0,DH3 +Q6,753,BNE,3320,TWB,7128,,0,DH1 +Q6,753,BQL,6248,BEU,6243,,0,DH1 +Q6,753,BQL,6248,ISA,3324,,0,DH1 +Q6,753,BUC,6245,DMD,6262,,0,DH1 +Q6,753,BUC,6245,ONG,6304,,0,DH1 +Q6,753,BVI,6240,BEU,6243,,0,DH1 +Q6,753,BVI,6240,WNR,6333,,0,DH1 +Q6,753,CMA,6258,SGO,6325,,0,DH1 +Q6,753,CMA,6258,XTG,6329,,0,DH1 +Q6,753,CNS,3322,ABM,3318,,0,DH1 +Q6,753,CNS,3322,AUU,6237,,0,DH1 +Q6,753,CNS,3322,CUQ,6260,,0,DH1 +Q6,753,CNS,3322,EDR,6319,,0,DH1 +Q6,753,CNS,3322,IRG,6286,,0,DH1 +Q6,753,CNS,3322,ISA,3324,,0,DH1 +Q6,753,CNS,3322,KWM,6281,,0,DH1 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DH4 +QF,4089,PER,3351,MEL,3339,,0,332 333 73H +QF,4089,PER,3351,PBO,6314,,0,DH4 +QF,4089,PER,3351,PHE,3349,,0,73H +QF,4089,PER,3351,SIN,3316,,0,332 +QF,4089,PER,3351,SYD,3361,,0,332 333 73H 763 +QF,4089,PER,3351,ZNE,6310,,0,73H +QF,4089,PHE,3349,BME,4319,Y,0,E70 +QF,4089,PHE,3349,BNE,3320,,0,73H +QF,4089,PHE,3349,MEL,3339,,0,73H +QF,4089,PHE,3349,PER,3351,,0,73H +QF,4089,PLO,6318,ADL,3341,Y,0,DH4 +QF,4089,POM,5,BNE,3320,Y,0,763 738 +QF,4089,POM,5,CNS,3322,Y,0,DH4 +QF,4089,POM,5,SYD,3361,Y,0,738 +QF,4089,PPT,4075,AKL,2006,,0,343 +QF,4089,PPT,4075,LAX,3484,,0,343 +QF,4089,PQQ,6320,BNE,3320,,0,DH4 +QF,4089,PQQ,6320,LDH,6285,Y,0,DH8 +QF,4089,PQQ,6320,SYD,3361,Y,0,DH3 DH4 DH8 +QF,4089,PRG,1587,DXB,2188,Y,0,77W +QF,4089,PVG,3406,MEL,3339,,0,332 +QF,4089,PVG,3406,SYD,3361,,0,333 +QF,4089,RMA,6324,BNE,3320,Y,0,DH4 DH3 +QF,4089,RMA,6324,CTL,3323,Y,0,DH3 +QF,4089,ROK,3329,BNE,3320,,0,DH4 DH3 DH8 +QF,4089,ROK,3329,GLT,6269,Y,0,DH4 DH3 +QF,4089,ROK,3329,MKY,3326,Y,0,DH4 DH3 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+R3,1287,KHV,2927,NGK,\N,,0,DH4 +R3,1287,KHV,2927,OHH,7479,,0,DH4 +R3,1287,KHV,2927,YKS,2923,,0,SU9 DH4 73W +R3,1287,KJA,4374,YKS,2923,,0,DH4 +R3,1287,KRR,2960,AER,2965,,0,DH4 +R3,1287,KRR,2960,DYU,2979,,0,73W +R3,1287,KRR,2960,EGO,6156,,0,DH4 +R3,1287,KRR,2960,FEG,6149,,0,73H +R3,1287,KRR,2960,IST,1701,,0,73W +R3,1287,KRR,2960,LCA,1197,,0,73W +R3,1287,KRR,2960,MCX,2961,,0,DH4 +R3,1287,KRR,2960,NUX,4364,,0,73W +R3,1287,KRR,2960,PRG,1587,,0,73W 73H +R3,1287,KRR,2960,RMI,1546,,0,73H +R3,1287,KRR,2960,TAS,2983,,0,73W +R3,1287,KRR,2960,TLV,1590,,0,73W +R3,1287,KRR,2960,VKO,2988,,0,73W +R3,1287,LCA,1197,KRR,2960,,0,73W +R3,1287,LED,2948,YKS,2923,,0,73H +R3,1287,MCX,2961,KRR,2960,,0,DH4 +R3,1287,MJZ,2925,YKS,2923,,0,A40 +R3,1287,MQJ,\N,YKS,2923,,0,A40 +R3,1287,MRV,2962,TLV,1590,,0,73W +R3,1287,NER,\N,IKT,2937,,0,DH4 +R3,1287,NER,\N,KHV,2927,,0,DH4 +R3,1287,NER,\N,VKO,2988,,0,73W +R3,1287,NER,\N,YKS,2923,,0,A40 +R3,1287,NGK,\N,KHV,2927,,0,DH4 +R3,1287,NUX,4364,KRR,2960,,0,73W +R3,1287,OHH,7479,KHV,2927,,0,DH4 +R3,1287,PEK,3364,YKS,2923,,0,73W +R3,1287,PRG,1587,KRR,2960,,0,73W 73H +R3,1287,PWE,2931,VKO,2988,,0,752 +R3,1287,PYJ,6092,YKS,2923,,0,A40 +R3,1287,RMI,1546,KRR,2960,,0,73H +R3,1287,TAS,2983,IKT,2937,,0,73H +R3,1287,TAS,2983,KRR,2960,,0,73W +R3,1287,TLV,1590,KRR,2960,,0,73W +R3,1287,TLV,1590,MRV,2962,,0,73W +R3,1287,ULK,9026,YKS,2923,,0,A40 +R3,1287,UUD,2938,YKS,2923,,0,DH4 +R3,1287,VKO,2988,BTK,2936,,0,73W +R3,1287,VKO,2988,KRR,2960,,0,73W +R3,1287,VKO,2988,NER,\N,,0,73W +R3,1287,VKO,2988,PWE,2931,,0,752 +R3,1287,VKO,2988,YKS,2923,,0,73H +R3,1287,VVO,2934,YKS,2923,,0,SU9 +R3,1287,YKS,2923,BQS,2926,,0,DH4 +R3,1287,YKS,2923,CKH,6093,,0,A40 +R3,1287,YKS,2923,CYX,6094,,0,A40 +R3,1287,YKS,2923,HRB,3400,,0,SU9 +R3,1287,YKS,2923,IKS,6095,,0,DH4 A40 +R3,1287,YKS,2923,IKT,2937,,0,73W 73H +R3,1287,YKS,2923,KHV,2927,,0,SU9 DH4 73W +R3,1287,YKS,2923,KJA,4374,,0,DH4 +R3,1287,YKS,2923,LED,2948,,0,73H +R3,1287,YKS,2923,MJZ,2925,,0,A40 +R3,1287,YKS,2923,MQJ,\N,,0,A40 +R3,1287,YKS,2923,NER,\N,,0,A40 +R3,1287,YKS,2923,PEK,3364,,0,73W +R3,1287,YKS,2923,PYJ,6092,,0,A40 +R3,1287,YKS,2923,ULK,9026,,0,A40 +R3,1287,YKS,2923,UUD,2938,,0,DH4 +R3,1287,YKS,2923,VKO,2988,,0,73H +R3,1287,YKS,2923,VVO,2934,,0,SU9 +R7,622,AUA,2895,CCS,2851,,0,M80 +R7,622,BLA,2821,CCS,2851,,0,M80 DC9 +R7,622,BLA,2821,PZO,2856,,0,M80 +R7,622,BLA,2821,VLN,2868,,0,M80 +R7,622,BRM,2824,CCS,2851,,0,DC9 M80 +R7,622,CCS,2851,AUA,2895,,0,M80 +R7,622,CCS,2851,BLA,2821,,0,M80 DC9 +R7,622,CCS,2851,BRM,2824,,0,DC9 +R7,622,CCS,2851,LSP,2844,,0,DC9 +R7,622,CCS,2851,MAR,2848,,0,DC9 M80 +R7,622,CCS,2851,MUN,2852,,0,DC9 +R7,622,CCS,2851,PMV,2850,,0,M80 DC9 +R7,622,CCS,2851,PZO,2856,,0,DC9 M80 +R7,622,CCS,2851,STD,2861,,0,M80 DC9 +R7,622,LSP,2844,CCS,2851,,0,DC9 +R7,622,MAR,2848,CCS,2851,,0,M80 DC9 +R7,622,MAR,2848,VLN,2868,,0,M80 +R7,622,MUN,2852,CCS,2851,,0,DC9 +R7,622,PMV,2850,CCS,2851,,0,M80 DC9 +R7,622,PMV,2850,PZO,2856,,0,M80 +R7,622,PZO,2856,BLA,2821,,0,M80 +R7,622,PZO,2856,CCS,2851,,0,M80 DC9 +R7,622,PZO,2856,PMV,2850,,0,M80 +R7,622,STD,2861,CCS,2851,,0,M80 DC9 +R7,622,VLN,2868,BLA,2821,,0,M80 +R7,622,VLN,2868,MAR,2848,,0,M80 +RA,3637,BKK,3885,KTM,3125,,0,757 +RA,3637,DOH,2241,KTM,3125,,0,757 +RA,3637,HKG,3077,KTM,3125,,0,757 +RA,3637,KTM,3125,BKK,3885,,0,757 +RA,3637,KTM,3125,DOH,2241,,0,757 +RA,3637,KTM,3125,HKG,3077,,0,757 +RA,3637,KTM,3125,KUL,3304,,0,757 +RA,3637,KUL,3304,KTM,3125,,0,757 +RC,881,BGO,636,FAE,625,,0,319 +RC,881,BLL,608,FAE,625,,0,319 +RC,881,CPH,609,FAE,625,,0,319 +RC,881,FAE,625,BGO,636,,0,319 +RC,881,FAE,625,BLL,608,,0,319 +RC,881,FAE,625,CPH,609,,0,319 +RC,881,FAE,625,SVG,666,,0,319 +RC,881,SVG,666,BGO,636,,0,319 +RC,881,SVG,666,FAE,625,,0,319 +RG,5368,AZI,2180,DXB,2188,,0,ERJ +RG,5368,AZI,2180,FJR,2189,,0,ERJ +RG,5368,AZI,2180,XSB,8961,,0,ERJ +RG,5368,AZI,2180,ZDY,8962,,0,ERJ +RG,5368,DXB,2188,AZI,2180,,0,ERJ +RG,5368,DXB,2188,XSB,8961,,0,ERJ +RG,5368,FJR,2189,AZI,2180,,0,ERJ +RG,5368,XSB,8961,AZI,2180,,0,ERJ 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+ST,2547,ERF,339,FUE,1051,,0,73G +ST,2547,ERF,339,LGW,502,,0,319 +ST,2547,ERF,339,LPA,1054,,0,73G +ST,2547,ERF,339,PMI,3998,,0,73G +ST,2547,ERF,339,TFS,1056,,0,73G +ST,2547,FDH,382,AYT,1688,,0,73G +ST,2547,FDH,382,PMI,3998,,0,73G +ST,2547,FKB,4166,DME,4029,,0,73G +ST,2547,FNC,4091,BRE,353,,0,319 +ST,2547,FRA,340,AYT,1688,,0,321 +ST,2547,FUE,1051,BRE,353,,0,321 +ST,2547,FUE,1051,ERF,339,,0,73G +ST,2547,HER,1452,DUS,345,,0,73G +ST,2547,IBZ,1225,BRE,353,,0,319 +ST,2547,ISU,5952,ARN,737,,0,73G +ST,2547,ISU,5952,DUS,345,,0,73G +ST,2547,ISU,5952,MUC,346,,0,73G +ST,2547,KSF,400,AYT,1688,,0,319 +ST,2547,KSF,400,PMI,3998,,0,321 +ST,2547,LEJ,348,AYT,1688,,0,321 +ST,2547,LEJ,348,BRE,353,,0,319 +ST,2547,LEJ,348,DME,4029,,0,319 +ST,2547,LGW,502,ERF,339,,0,319 +ST,2547,LGW,502,PRN,1742,,0,73G +ST,2547,LPA,1054,BRE,353,,0,319 +ST,2547,LPA,1054,ERF,339,,0,73G +ST,2547,MRS,1353,AGB,374,,0,FRJ +ST,2547,MUC,346,EBL,3989,,0,73G +ST,2547,MUC,346,ISU,5952,,0,73G +ST,2547,NBE,7447,BRE,353,,0,319 +ST,2547,ONQ,7821,DTM,373,,0,73G +ST,2547,ONQ,7821,DUS,345,,0,73G +ST,2547,PMI,3998,BRE,353,,0,321 +ST,2547,PMI,3998,ERF,339,,0,73G +ST,2547,PMI,3998,FDH,382,,0,73G +ST,2547,PMI,3998,KSF,400,,0,321 +ST,2547,PMI,3998,RLG,772,,0,73G +ST,2547,PRN,1742,LGW,502,,0,73G +ST,2547,RHO,1472,DUS,345,,0,321 +ST,2547,RLG,772,AYT,1688,,0,73G +ST,2547,RLG,772,PMI,3998,,0,73G +ST,2547,SKP,1737,SXF,337,,0,73G +ST,2547,SXF,337,AYT,1688,,0,73G +ST,2547,SXF,337,BEY,2177,,0,73G +ST,2547,SXF,337,SKP,1737,,0,73G +ST,2547,TFS,1056,BRE,353,,0,319 +ST,2547,TFS,1056,ERF,339,,0,73G +ST,2547,TLS,1273,BRS,490,,0,ER4 +ST,2547,TLS,1273,CEG,519,,0,ER4 +ST,2547,TLS,1273,XFW,362,,0,319 +ST,2547,TXL,351,AYT,1688,,0,321 +ST,2547,VIE,1613,BRE,353,,0,319 +ST,2547,XFW,362,TLS,1273,,0,319 +SU,130,AAQ,4353,LED,2948,,0,320 319 +SU,130,AAQ,4353,SVO,2985,,0,320 319 +SU,130,ABA,2955,SVO,2985,,0,320 +SU,130,AER,2965,EVN,3964,,0,319 +SU,130,AER,2965,IST,1701,,0,319 +SU,130,AER,2965,KRR,2960,,0,319 +SU,130,AER,2965,LED,2948,,0,319 320 +SU,130,AER,2965,OMS,2958,,0,319 +SU,130,AER,2965,SVO,2985,,0,321 738 320 +SU,130,AER,2965,SVX,2975,,0,319 +SU,130,AER,2965,TAS,2983,,0,319 +SU,130,AGP,1230,SVO,2985,,0,320 +SU,130,ALA,2908,LED,2948,,0,320 319 +SU,130,ALG,210,CDG,1382,Y,0,319 +SU,130,AMS,580,LED,2948,Y,0,737 +SU,130,AMS,580,SVO,2985,,0,321 320 +SU,130,ARH,4362,LED,2948,,0,A81 319 +SU,130,ARH,4362,SVO,2985,Y,0,735 +SU,130,ARN,737,LED,2948,,0,319 +SU,130,ARN,737,SVO,2985,,0,320 +SU,130,ASF,2966,SVO,2985,,0,320 319 +SU,130,ATH,3941,SVO,2985,,0,320 321 +SU,130,ATL,3682,JFK,3797,Y,0,319 752 738 M88 73H +SU,130,AYT,1688,LED,2948,,0,763 +SU,130,AYT,1688,ROV,2964,,0,319 +SU,130,AYT,1688,SVO,2985,,0,321 320 +SU,130,BAX,2956,SVO,2985,,0,321 320 +SU,130,BCN,1218,LED,2948,,0,763 320 +SU,130,BCN,1218,SVO,2985,,0,321 +SU,130,BEG,1739,SVO,2985,,0,320 321 733 738 319 +SU,130,BEY,2177,SVO,2985,,0,320 319 +SU,130,BHK,2980,LED,2948,,0,320 +SU,130,BKK,3885,SVO,2985,,0,333 +SU,130,BLQ,1538,SVO,2985,,0,320 +SU,130,BOJ,1191,LED,2948,,0,320 +SU,130,BRU,302,SVO,2985,,0,320 319 +SU,130,BUD,1489,SVO,2985,,0,320 +SU,130,CAI,1128,SVO,2985,,0,320 +SU,130,CAN,3370,SVO,2985,,0,333 332 +SU,130,CAN,3370,URC,3399,Y,0,737 +SU,130,CDG,1382,ALG,210,Y,0,319 +SU,130,CDG,1382,CMN,1074,Y,0,320 319 +SU,130,CDG,1382,LED,2948,,0,320 +SU,130,CDG,1382,LYS,1335,Y,0,320 319 +SU,130,CDG,1382,SVO,2985,,0,320 321 +SU,130,CDG,1382,TLS,1273,Y,0,319 320 +SU,130,CEK,2968,LED,2948,,0,319 +SU,130,CEK,2968,SVO,2985,,0,320 +SU,130,CMN,1074,CDG,1382,Y,0,320 319 +SU,130,CMN,1074,SVO,2985,,0,738 +SU,130,CPH,609,SVO,2985,,0,320 +SU,130,DEL,3093,SVO,2985,,0,332 333 +SU,130,DME,4029,LED,2948,,0,319 320 +SU,130,DME,4029,NCE,1354,,0,320 +SU,130,DNK,2941,SVO,2985,,0,SU9 +SU,130,DOK,2940,SVO,2985,,0,320 SU9 319 +SU,130,DRS,338,SVO,2985,,0,SU9 +SU,130,DUS,345,LED,2948,,0,319 +SU,130,DUS,345,SVO,2985,,0,320 319 +SU,130,DXB,2188,SVO,2985,,0,320 +SU,130,DYU,2979,LED,2948,,0,320 +SU,130,EVN,3964,AER,2965,,0,319 +SU,130,EVN,3964,KRR,2960,,0,319 +SU,130,EVN,3964,LED,2948,,0,319 320 +SU,130,EVN,3964,MRV,2962,,0,319 +SU,130,EVN,3964,ROV,2964,,0,319 +SU,130,EVN,3964,SVO,2985,,0,321 738 320 +SU,130,FCO,1555,LED,2948,,0,320 +SU,130,FCO,1555,SVO,2985,,0,321 320 +SU,130,FRA,340,LED,2948,,0,319 +SU,130,FRA,340,SVO,2985,,0,320 319 +SU,130,FRU,2912,LED,2948,,0,320 +SU,130,FRU,2912,SVO,2985,,0,321 319 +SU,130,GDX,2930,KHV,2927,,0,319 +SU,130,GDZ,7041,SVO,2985,,0,320 319 +SU,130,GOJ,4274,SVO,2985,,0,320 SU9 +SU,130,GVA,1665,SVO,2985,,0,320 319 +SU,130,GYD,2922,LED,2948,,0,319 +SU,130,GYD,2922,SVO,2985,,0,320 +SU,130,HAJ,352,SVO,2985,,0,320 +SU,130,HAM,342,LED,2948,,0,319 +SU,130,HAM,342,SVO,2985,,0,738 321 +SU,130,HAN,3199,SVO,2985,,0,333 +SU,130,HAV,1909,SVO,2985,,0,332 +SU,130,HEL,421,SVO,2985,,0,319 +SU,130,HER,1452,LED,2948,,0,320 +SU,130,HER,1452,SVO,2985,,0,321 +SU,130,HKG,3077,SVO,2985,,0,77W +SU,130,HRB,3400,KHV,2927,,0,319 +SU,130,HRB,3400,UUS,2933,,0,737 +SU,130,HRK,6105,SVO,2985,,0,SU9 319 +SU,130,HTA,2935,SVO,2985,,0,738 +SU,130,IAD,3714,SVO,2985,,0,763 +SU,130,ICN,3930,KHV,2927,,0,319 +SU,130,ICN,3930,SVO,2985,,0,333 +SU,130,ICN,3930,UUS,2933,,0,737 +SU,130,ICN,3930,VVO,2934,,0,319 737 +SU,130,IKA,4330,SVO,2985,,0,320 +SU,130,IKT,2937,KHV,2927,,0,319 +SU,130,IKT,2937,SVO,2985,,0,320 +SU,130,IST,1701,AER,2965,,0,319 +SU,130,IST,1701,LED,2948,,0,319 +SU,130,IST,1701,ROV,2964,,0,319 +SU,130,IST,1701,SVO,2985,,0,320 +SU,130,JFK,3797,ATL,3682,Y,0,752 319 738 757 M88 +SU,130,JFK,3797,SVO,2985,,0,333 77W +SU,130,KBP,2939,LED,2948,,0,A81 +SU,130,KBP,2939,SVO,2985,,0,321 320 +SU,130,KEJ,2957,SVO,2985,,0,321 +SU,130,KGD,2952,LED,2948,,0,319 320 +SU,130,KGD,2952,SVO,2985,,0,320 +SU,130,KGF,4375,LED,2948,,0,320 +SU,130,KGF,4375,SVO,2985,,0,320 +SU,130,KHV,2927,GDX,2930,,0,319 +SU,130,KHV,2927,HRB,3400,,0,319 +SU,130,KHV,2927,ICN,3930,,0,319 +SU,130,KHV,2927,IKT,2937,,0,319 +SU,130,KHV,2927,KJA,4374,,0,319 +SU,130,KHV,2927,OVB,4078,,0,319 +SU,130,KHV,2927,PEK,3364,,0,737 319 +SU,130,KHV,2927,PKC,2932,,0,737 319 +SU,130,KHV,2927,SVO,2985,,0,332 333 +SU,130,KHV,2927,UUS,2933,,0,319 737 +SU,130,KHV,2927,VVO,2934,,0,319 737 +SU,130,KJA,4374,KHV,2927,,0,319 +SU,130,KJA,4374,LED,2948,,0,320 +SU,130,KJA,4374,SVO,2985,,0,321 77W +SU,130,KLV,1579,LED,2948,Y,0,320 +SU,130,KLV,1579,SVO,2985,,0,320 +SU,130,KRK,669,SVO,2985,,0,SU9 +SU,130,KRR,2960,AER,2965,,0,319 +SU,130,KRR,2960,EVN,3964,,0,319 +SU,130,KRR,2960,LED,2948,,0,319 +SU,130,KRR,2960,SVO,2985,,0,319 320 738 +SU,130,KRR,2960,SVX,2975,,0,319 +SU,130,KSQ,6153,LED,2948,,0,320 +SU,130,KUF,4118,LED,2948,,0,319 A81 +SU,130,KUF,4118,SVO,2985,,0,321 319 320 +SU,130,KZN,2990,LED,2948,,0,A81 +SU,130,KZN,2990,SVO,2985,,0,319 320 SU9 321 +SU,130,LAX,3484,SVO,2985,,0,332 +SU,130,LBD,6147,LED,2948,,0,320 +SU,130,LBD,6147,ROV,2964,,0,319 +SU,130,LCA,1197,LED,2948,,0,763 +SU,130,LCA,1197,SVO,2985,,0,321 320 +SU,130,LED,2948,AAQ,4353,,0,320 319 +SU,130,LED,2948,AER,2965,,0,320 319 +SU,130,LED,2948,ALA,2908,,0,320 319 +SU,130,LED,2948,AMS,580,Y,0,737 +SU,130,LED,2948,ARH,4362,,0,A81 319 +SU,130,LED,2948,ARN,737,,0,319 +SU,130,LED,2948,AYT,1688,,0,763 +SU,130,LED,2948,BCN,1218,,0,763 320 +SU,130,LED,2948,BHK,2980,,0,320 +SU,130,LED,2948,BOJ,1191,,0,320 +SU,130,LED,2948,CDG,1382,,0,320 +SU,130,LED,2948,CEK,2968,,0,319 +SU,130,LED,2948,DME,4029,,0,320 319 +SU,130,LED,2948,DUS,345,,0,319 +SU,130,LED,2948,DYU,2979,,0,320 +SU,130,LED,2948,EVN,3964,,0,319 320 +SU,130,LED,2948,FCO,1555,,0,320 +SU,130,LED,2948,FRA,340,,0,319 +SU,130,LED,2948,FRU,2912,,0,320 +SU,130,LED,2948,GYD,2922,,0,319 +SU,130,LED,2948,HAM,342,,0,319 +SU,130,LED,2948,HER,1452,,0,320 +SU,130,LED,2948,IST,1701,,0,319 +SU,130,LED,2948,KBP,2939,,0,A81 +SU,130,LED,2948,KGD,2952,,0,319 320 +SU,130,LED,2948,KGF,4375,,0,320 +SU,130,LED,2948,KJA,4374,,0,320 +SU,130,LED,2948,KLV,1579,Y,0,320 +SU,130,LED,2948,KRR,2960,,0,319 +SU,130,LED,2948,KSQ,6153,,0,320 +SU,130,LED,2948,KUF,4118,,0,319 A81 +SU,130,LED,2948,KZN,2990,,0,A81 +SU,130,LED,2948,LBD,6147,,0,320 +SU,130,LED,2948,LCA,1197,,0,763 +SU,130,LED,2948,MMK,2949,,0,319 A81 +SU,130,LED,2948,MRV,2962,,0,319 +SU,130,LED,2948,MUC,346,,0,319 +SU,130,LED,2948,MXP,1524,,0,320 +SU,130,LED,2948,NCE,1354,,0,320 +SU,130,LED,2948,NMA,6150,,0,320 +SU,130,LED,2948,NVI,6485,,0,320 +SU,130,LED,2948,OMS,2958,,0,A81 +SU,130,LED,2948,OSS,2913,,0,320 +SU,130,LED,2948,OVB,4078,,0,320 763 +SU,130,LED,2948,PEE,2973,,0,319 A81 +SU,130,LED,2948,PRG,1587,,0,319 +SU,130,LED,2948,RHO,1472,,0,763 +SU,130,LED,2948,ROV,2964,,0,A81 319 +SU,130,LED,2948,SCW,2989,,0,A81 +SU,130,LED,2948,SIP,2942,,0,320 319 +SU,130,LED,2948,SKD,2981,,0,763 320 +SU,130,LED,2948,SVO,2985,,0,321 320 738 +SU,130,LED,2948,SVX,2975,,0,320 319 +SU,130,LED,2948,SXF,337,,0,319 +SU,130,LED,2948,TAS,2983,,0,763 320 +SU,130,LED,2948,TFS,1056,,0,763 +SU,130,LED,2948,TJM,4111,,0,319 +SU,130,LED,2948,TLV,1590,,0,763 320 +SU,130,LED,2948,TSE,2910,,0,319 +SU,130,LED,2948,UFA,2992,,0,319 A81 +SU,130,LED,2948,UGC,6152,,0,319 +SU,130,LED,2948,VIE,1613,,0,319 +SU,130,LED,2948,VKO,2988,,0,319 +SU,130,LHR,507,SVO,2985,,0,320 333 321 +SU,130,LJU,1569,SVO,2985,,0,CR2 +SU,130,MAD,1229,SVO,2985,,0,321 320 +SU,130,MIA,3576,SVO,2985,,0,332 +SU,130,MLA,1606,SVO,2985,,0,319 +SU,130,MLE,3156,SVO,2985,,0,333 +SU,130,MMK,2949,LED,2948,,0,319 A81 +SU,130,MMK,2949,SVO,2985,Y,0,735 +SU,130,MQF,2969,SVO,2985,,0,SU9 +SU,130,MRS,1353,CDG,1382,Y,0,319 321 +SU,130,MRV,2962,EVN,3964,,0,319 +SU,130,MRV,2962,LED,2948,,0,319 +SU,130,MRV,2962,SVO,2985,,0,319 321 320 +SU,130,MRV,2962,SVX,2975,,0,319 +SU,130,MRV,2962,TAS,2983,,0,319 +SU,130,MSQ,2954,SVO,2985,,0,320 319 +SU,130,MUC,346,LED,2948,,0,319 +SU,130,MUC,346,SVO,2985,,0,320 +SU,130,MXP,1524,LED,2948,,0,320 +SU,130,MXP,1524,SVO,2985,,0,320 321 +SU,130,NBC,6969,SVO,2985,,0,320 SU9 319 +SU,130,NCE,1354,DME,4029,,0,320 +SU,130,NCE,1354,LED,2948,,0,320 +SU,130,NCE,1354,SVO,2985,,0,321 320 +SU,130,NJC,2972,SVO,2985,,0,321 319 320 +SU,130,NMA,6150,LED,2948,,0,320 +SU,130,NOZ,6119,SVO,2985,,0,320 319 +SU,130,NRT,2279,SVO,2985,,0,333 +SU,130,NUX,4364,SVO,2985,,0,320 +SU,130,NVI,6485,LED,2948,,0,320 +SU,130,ODS,2947,SVO,2985,,0,319 320 SU9 +SU,130,OMS,2958,AER,2965,,0,319 +SU,130,OMS,2958,LED,2948,,0,A81 +SU,130,OMS,2958,SVO,2985,,0,320 +SU,130,OSL,644,SVO,2985,,0,320 +SU,130,OSS,2913,LED,2948,,0,320 +SU,130,OTP,1657,SVO,2985,,0,737 SU9 +SU,130,OVB,4078,KHV,2927,,0,319 +SU,130,OVB,4078,LED,2948,,0,320 +SU,130,OVB,4078,SVO,2985,,0,321 738 +SU,130,OVB,4078,VVO,2934,,0,319 +SU,130,PEE,2973,LED,2948,,0,319 A81 +SU,130,PEE,2973,SVO,2985,,0,SU9 320 +SU,130,PEK,3364,KHV,2927,,0,737 +SU,130,PEK,3364,SVO,2985,,0,333 77W +SU,130,PKC,2932,KHV,2927,,0,737 319 +SU,130,PKC,2932,SVO,2985,,0,77W +SU,130,PKC,2932,VVO,2934,,0,319 +SU,130,PRG,1587,LED,2948,,0,319 +SU,130,PRG,1587,SVO,2985,,0,320 321 +SU,130,PUJ,1760,SVO,2985,,0,332 +SU,130,PUS,2372,VVO,2934,,0,319 +SU,130,PVG,3406,SVO,2985,,0,333 77W 767 +SU,130,REN,2991,SVO,2985,,0,320 +SU,130,RHO,1472,LED,2948,,0,763 +SU,130,RIX,3953,SVO,2985,,0,320 321 +SU,130,ROV,2964,AYT,1688,,0,319 +SU,130,ROV,2964,EVN,3964,,0,319 +SU,130,ROV,2964,IST,1701,,0,319 +SU,130,ROV,2964,LBD,6147,,0,319 +SU,130,ROV,2964,LED,2948,,0,A81 319 +SU,130,ROV,2964,SIP,2942,,0,319 +SU,130,ROV,2964,SVO,2985,,0,319 734 +SU,130,ROV,2964,SVX,2975,,0,319 +SU,130,ROV,2964,TAS,2983,,0,319 +SU,130,ROV,2964,TLV,1590,,0,319 +SU,130,SCW,2989,LED,2948,,0,A81 +SU,130,SCW,2989,SVO,2985,Y,0,735 +SU,130,SGC,2974,SVO,2985,,0,320 319 +SU,130,SGN,3205,SVO,2985,,0,333 +SU,130,SIP,2942,LED,2948,,0,320 319 +SU,130,SIP,2942,ROV,2964,,0,319 +SU,130,SIP,2942,SVO,2985,,0,320 321 +SU,130,SKD,2981,LED,2948,,0,763 320 +SU,130,SKG,1486,SVO,2985,,0,321 +SU,130,SOF,1194,SVO,2985,,0,319 +SU,130,STR,350,SVO,2985,,0,320 +SU,130,STW,2963,SVO,2985,,0,319 +SU,130,SVO,2985,AAQ,4353,,0,320 319 +SU,130,SVO,2985,ABA,2955,,0,320 +SU,130,SVO,2985,AER,2965,,0,321 738 320 +SU,130,SVO,2985,AGP,1230,,0,320 +SU,130,SVO,2985,AMS,580,,0,321 320 +SU,130,SVO,2985,ARH,4362,Y,0,735 +SU,130,SVO,2985,ARN,737,,0,320 +SU,130,SVO,2985,ASF,2966,,0,319 320 +SU,130,SVO,2985,ATH,3941,,0,321 320 +SU,130,SVO,2985,AYT,1688,,0,321 320 +SU,130,SVO,2985,BAX,2956,,0,320 321 +SU,130,SVO,2985,BCN,1218,,0,321 +SU,130,SVO,2985,BEG,1739,,0,319 321 320 733 738 +SU,130,SVO,2985,BEY,2177,,0,319 320 +SU,130,SVO,2985,BKK,3885,,0,333 +SU,130,SVO,2985,BLQ,1538,,0,320 +SU,130,SVO,2985,BRU,302,,0,320 319 +SU,130,SVO,2985,BUD,1489,,0,320 +SU,130,SVO,2985,CAI,1128,,0,320 +SU,130,SVO,2985,CAN,3370,,0,333 332 +SU,130,SVO,2985,CDG,1382,,0,320 321 +SU,130,SVO,2985,CEK,2968,,0,320 +SU,130,SVO,2985,CMN,1074,,0,738 +SU,130,SVO,2985,CPH,609,,0,320 +SU,130,SVO,2985,DEL,3093,,0,332 333 +SU,130,SVO,2985,DNK,2941,,0,SU9 +SU,130,SVO,2985,DOK,2940,,0,SU9 320 319 +SU,130,SVO,2985,DRS,338,,0,SU9 +SU,130,SVO,2985,DUS,345,,0,320 319 +SU,130,SVO,2985,DXB,2188,,0,320 +SU,130,SVO,2985,EVN,3964,,0,321 738 320 +SU,130,SVO,2985,FCO,1555,,0,321 320 +SU,130,SVO,2985,FRA,340,,0,320 319 +SU,130,SVO,2985,FRU,2912,,0,319 321 +SU,130,SVO,2985,GDZ,7041,,0,320 319 +SU,130,SVO,2985,GOJ,4274,,0,SU9 320 +SU,130,SVO,2985,GVA,1665,,0,320 319 +SU,130,SVO,2985,GYD,2922,,0,320 +SU,130,SVO,2985,HAJ,352,,0,320 +SU,130,SVO,2985,HAM,342,,0,738 321 +SU,130,SVO,2985,HAN,3199,,0,333 +SU,130,SVO,2985,HAV,1909,,0,332 +SU,130,SVO,2985,HEL,421,,0,319 +SU,130,SVO,2985,HER,1452,,0,321 +SU,130,SVO,2985,HKG,3077,,0,77W +SU,130,SVO,2985,HRK,6105,,0,SU9 319 +SU,130,SVO,2985,HTA,2935,,0,738 +SU,130,SVO,2985,IAD,3714,,0,763 +SU,130,SVO,2985,ICN,3930,,0,333 +SU,130,SVO,2985,IKA,4330,,0,320 +SU,130,SVO,2985,IKT,2937,,0,320 +SU,130,SVO,2985,IST,1701,,0,320 +SU,130,SVO,2985,JFK,3797,,0,333 77W +SU,130,SVO,2985,KBP,2939,,0,321 320 +SU,130,SVO,2985,KEJ,2957,,0,321 +SU,130,SVO,2985,KGD,2952,,0,320 +SU,130,SVO,2985,KGF,4375,,0,320 +SU,130,SVO,2985,KHV,2927,,0,333 332 +SU,130,SVO,2985,KJA,4374,,0,321 77W +SU,130,SVO,2985,KLV,1579,,0,320 +SU,130,SVO,2985,KRK,669,,0,SU9 +SU,130,SVO,2985,KRR,2960,,0,319 320 738 +SU,130,SVO,2985,KUF,4118,,0,319 320 321 +SU,130,SVO,2985,KZN,2990,,0,320 319 SU9 321 +SU,130,SVO,2985,LAX,3484,,0,332 +SU,130,SVO,2985,LCA,1197,,0,321 320 +SU,130,SVO,2985,LED,2948,,0,321 320 738 +SU,130,SVO,2985,LHR,507,,0,320 333 321 +SU,130,SVO,2985,LJU,1569,,0,CR2 +SU,130,SVO,2985,MAD,1229,,0,321 320 +SU,130,SVO,2985,MIA,3576,,0,332 +SU,130,SVO,2985,MLA,1606,,0,319 +SU,130,SVO,2985,MLE,3156,,0,333 +SU,130,SVO,2985,MMK,2949,Y,0,735 +SU,130,SVO,2985,MQF,2969,,0,SU9 +SU,130,SVO,2985,MRV,2962,,0,321 319 320 +SU,130,SVO,2985,MSQ,2954,,0,320 319 +SU,130,SVO,2985,MUC,346,,0,320 +SU,130,SVO,2985,MXP,1524,,0,321 320 +SU,130,SVO,2985,NBC,6969,,0,320 SU9 319 +SU,130,SVO,2985,NCE,1354,,0,321 320 +SU,130,SVO,2985,NJC,2972,,0,321 319 320 +SU,130,SVO,2985,NOZ,6119,,0,319 320 +SU,130,SVO,2985,NRT,2279,,0,333 +SU,130,SVO,2985,NUX,4364,,0,320 +SU,130,SVO,2985,ODS,2947,,0,320 SU9 319 +SU,130,SVO,2985,OMS,2958,,0,320 +SU,130,SVO,2985,OSL,644,,0,320 +SU,130,SVO,2985,OTP,1657,,0,SU9 737 +SU,130,SVO,2985,OVB,4078,,0,321 738 +SU,130,SVO,2985,PEE,2973,,0,SU9 320 +SU,130,SVO,2985,PEK,3364,,0,333 77W +SU,130,SVO,2985,PKC,2932,,0,77W +SU,130,SVO,2985,PRG,1587,,0,321 320 +SU,130,SVO,2985,PUJ,1760,,0,332 +SU,130,SVO,2985,PVG,3406,,0,333 767 77W +SU,130,SVO,2985,REN,2991,,0,320 +SU,130,SVO,2985,RIX,3953,,0,320 321 +SU,130,SVO,2985,ROV,2964,,0,319 734 +SU,130,SVO,2985,SCW,2989,Y,0,735 +SU,130,SVO,2985,SGC,2974,,0,320 319 +SU,130,SVO,2985,SGN,3205,,0,333 +SU,130,SVO,2985,SIP,2942,,0,320 321 +SU,130,SVO,2985,SKG,1486,,0,321 +SU,130,SVO,2985,SOF,1194,,0,319 +SU,130,SVO,2985,STR,350,,0,320 +SU,130,SVO,2985,STW,2963,,0,319 +SU,130,SVO,2985,SVX,2975,,0,321 320 +SU,130,SVO,2985,SXF,337,,0,320 321 319 738 +SU,130,SVO,2985,TAS,2983,,0,321 +SU,130,SVO,2985,TFS,1056,,0,333 +SU,130,SVO,2985,TJM,4111,,0,320 SU9 +SU,130,SVO,2985,TLL,415,,0,320 319 +SU,130,SVO,2985,TLV,1590,,0,333 332 +SU,130,SVO,2985,TOF,4297,,0,738 +SU,130,SVO,2985,TXL,351,Y,0,737 +SU,130,SVO,2985,UFA,2992,,0,320 319 +SU,130,SVO,2985,ULN,3380,,0,320 +SU,130,SVO,2985,URC,3399,Y,0,737 +SU,130,SVO,2985,UUD,2938,,0,319 +SU,130,SVO,2985,UUS,2933,,0,332 333 +SU,130,SVO,2985,VCE,1551,,0,321 320 +SU,130,SVO,2985,VIE,1613,,0,321 320 +SU,130,SVO,2985,VNO,3959,,0,320 +SU,130,SVO,2985,VOG,2967,,0,320 +SU,130,SVO,2985,VVO,2934,,0,77W 333 +SU,130,SVO,2985,WAW,679,,0,320 +SU,130,SVO,2985,YKS,2923,,0,738 +SU,130,SVO,2985,YYZ,193,,0,763 +SU,130,SVO,2985,ZAG,1208,,0,319 +SU,130,SVO,2985,ZRH,1678,,0,320 +SU,130,SVX,2975,AER,2965,,0,319 +SU,130,SVX,2975,KRR,2960,,0,319 +SU,130,SVX,2975,LED,2948,,0,320 319 +SU,130,SVX,2975,MRV,2962,,0,319 +SU,130,SVX,2975,ROV,2964,,0,319 +SU,130,SVX,2975,SVO,2985,,0,321 320 +SU,130,SXF,337,LED,2948,,0,319 +SU,130,SXF,337,SVO,2985,,0,320 321 319 738 +SU,130,TAS,2983,AER,2965,,0,319 +SU,130,TAS,2983,LED,2948,,0,763 320 +SU,130,TAS,2983,MRV,2962,,0,319 +SU,130,TAS,2983,ROV,2964,,0,319 +SU,130,TAS,2983,SVO,2985,,0,321 +SU,130,TFS,1056,LED,2948,,0,763 +SU,130,TFS,1056,SVO,2985,,0,333 +SU,130,TJM,4111,LED,2948,,0,319 +SU,130,TJM,4111,SVO,2985,,0,320 SU9 +SU,130,TLL,415,SVO,2985,,0,320 319 +SU,130,TLV,1590,LED,2948,,0,763 320 +SU,130,TLV,1590,ROV,2964,,0,319 +SU,130,TLV,1590,SVO,2985,,0,333 332 +SU,130,TOF,4297,SVO,2985,,0,738 +SU,130,TSE,2910,LED,2948,,0,319 +SU,130,TXL,351,SVO,2985,Y,0,737 +SU,130,UFA,2992,LED,2948,,0,319 A81 +SU,130,UFA,2992,SVO,2985,,0,320 319 +SU,130,UGC,6152,LED,2948,,0,319 +SU,130,ULN,3380,SVO,2985,,0,320 +SU,130,URC,3399,CAN,3370,Y,0,737 +SU,130,URC,3399,SVO,2985,Y,0,737 +SU,130,UUD,2938,SVO,2985,,0,319 +SU,130,UUS,2933,HRB,3400,,0,737 +SU,130,UUS,2933,ICN,3930,,0,737 +SU,130,UUS,2933,KHV,2927,,0,737 319 +SU,130,UUS,2933,SVO,2985,,0,333 332 +SU,130,UUS,2933,VVO,2934,,0,319 737 +SU,130,VCE,1551,SVO,2985,,0,321 320 +SU,130,VIE,1613,LED,2948,,0,319 +SU,130,VIE,1613,SVO,2985,,0,320 321 +SU,130,VKO,2988,LED,2948,,0,319 +SU,130,VNO,3959,SVO,2985,,0,320 +SU,130,VOG,2967,SVO,2985,,0,320 +SU,130,VVO,2934,ICN,3930,,0,319 737 +SU,130,VVO,2934,KHV,2927,,0,319 737 +SU,130,VVO,2934,OVB,4078,,0,319 +SU,130,VVO,2934,PKC,2932,,0,319 +SU,130,VVO,2934,PUS,2372,,0,319 +SU,130,VVO,2934,SVO,2985,,0,77W 333 +SU,130,VVO,2934,UUS,2933,,0,319 737 +SU,130,VVO,2934,YKS,2923,,0,319 +SU,130,WAW,679,SVO,2985,,0,320 +SU,130,YKS,2923,SVO,2985,,0,738 +SU,130,YKS,2923,VVO,2934,,0,319 +SU,130,YYZ,193,SVO,2985,,0,763 +SU,130,ZAG,1208,SVO,2985,,0,319 +SU,130,ZRH,1678,SVO,2985,,0,320 +SV,4533,ABT,2061,DMM,2064,,0,320 +SV,4533,ABT,2061,JED,2072,,0,320 +SV,4533,ABT,2061,RUH,2082,,0,320 +SV,4533,ADD,1107,JED,2072,,0,320 +SV,4533,ADD,1107,RUH,2082,,0,320 +SV,4533,ADE,3977,JED,2072,,0,320 +SV,4533,AHB,2059,CAI,1128,,0,320 +SV,4533,AHB,2059,DMM,2064,,0,320 +SV,4533,AHB,2059,JED,2072,,0,320 321 +SV,4533,AHB,2059,MED,2074,,0,E70 +SV,4533,AHB,2059,RUH,2082,,0,320 +SV,4533,AHB,2059,TIF,2090,,0,320 +SV,4533,AHB,2059,TUU,2089,,0,320 +SV,4533,AJF,5925,JED,2072,,0,E70 +SV,4533,AJF,5925,RUH,2082,,0,320 E70 +SV,4533,ALG,210,MED,2074,,0,AB6 +SV,4533,AMM,2170,JED,2072,,0,320 +SV,4533,AMM,2170,MED,2074,,0,320 +SV,4533,AMM,2170,RUH,2082,,0,320 +SV,4533,AQI,2076,JED,2072,,0,E70 +SV,4533,AQI,2076,RUH,2082,,0,E70 +SV,4533,AUH,2179,JED,2072,,0,320 +SV,4533,AUH,2179,MED,2074,,0,320 321 +SV,4533,AUH,2179,RUH,2082,,0,320 321 +SV,4533,AWZ,2104,MED,2074,,0,AB6 +SV,4533,AZD,2164,MED,2074,,0,AB6 +SV,4533,BAH,2057,DMM,2064,Y,0,320 +SV,4533,BAH,2057,JED,2072,,0,E70 +SV,4533,BAH,2057,MED,2074,Y,0,320 +SV,4533,BAH,2057,RUH,2082,,0,E70 320 +SV,4533,BEY,2177,JED,2072,,0,320 333 +SV,4533,BEY,2177,MED,2074,,0,320 +SV,4533,BEY,2177,RUH,2082,,0,320 321 333 +SV,4533,BHH,2062,DMM,2064,,0,E70 +SV,4533,BHH,2062,JED,2072,,0,320 E70 321 +SV,4533,BHH,2062,RUH,2082,,0,320 321 +SV,4533,BLR,3131,DMM,2064,,0,333 +SV,4533,BLR,3131,JED,2072,,0,333 +SV,4533,BLR,3131,RUH,2082,,0,333 +SV,4533,BOM,2997,DMM,2064,,0,320 +SV,4533,BOM,2997,JED,2072,,0,772 +SV,4533,BOM,2997,RUH,2082,,0,772 +SV,4533,CAI,1128,AHB,2059,,0,321 +SV,4533,CAI,1128,DMM,2064,,0,320 321 +SV,4533,CAI,1128,JED,2072,,0,333 772 744 +SV,4533,CAI,1128,MED,2074,,0,320 74E 772 +SV,4533,CAI,1128,RUH,2082,,0,320 772 333 +SV,4533,CAN,3370,JED,2072,,0,777 +SV,4533,CAN,3370,RUH,2082,,0,777 +SV,4533,CCJ,3137,DMM,2064,,0,772 +SV,4533,CCJ,3137,JED,2072,,0,772 +SV,4533,CCJ,3137,RUH,2082,,0,772 +SV,4533,CDG,1382,JED,2072,,0,333 +SV,4533,CDG,1382,RUH,2082,,0,777 +SV,4533,CGK,3275,JED,2072,,0,773 +SV,4533,CGK,3275,MED,2074,,0,74E 772 773 +SV,4533,CGK,3275,RUH,2082,,0,773 +SV,4533,CMB,3024,DMM,2064,Y,0,343 +SV,4533,CMB,3024,JED,2072,,0,772 +SV,4533,CMB,3024,RUH,2082,,0,772 +SV,4533,CMN,1074,JED,2072,,0,773 +SV,4533,CMN,1074,RUH,2082,,0,777 +SV,4533,COK,3136,DMM,2064,,0,333 +SV,4533,COK,3136,RUH,2082,,0,333 +SV,4533,DAC,3076,DMM,2064,,0,772 +SV,4533,DAC,3076,JED,2072,,0,772 +SV,4533,DAC,3076,RUH,2082,,0,772 +SV,4533,DEL,3093,DMM,2064,,0,320 +SV,4533,DEL,3093,JED,2072,,0,772 +SV,4533,DEL,3093,RUH,2082,,0,772 +SV,4533,DMM,2064,ABT,2061,,0,320 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+SV,4533,DMM,2064,TIF,2090,,0,320 +SV,4533,DMM,2064,TUU,2089,,0,E70 +SV,4533,DOH,2241,JED,2072,,0,320 +SV,4533,DOH,2241,RUH,2082,,0,320 +SV,4533,DWD,5924,JED,2072,,0,E70 +SV,4533,DWD,5924,RUH,2082,,0,E70 +SV,4533,DXB,2188,DMM,2064,,0,320 321 +SV,4533,DXB,2188,JED,2072,,0,321 333 773 777 320 +SV,4533,DXB,2188,MED,2074,,0,320 +SV,4533,DXB,2188,RUH,2082,,0,321 333 777 320 773 +SV,4533,EAM,2075,DMM,2064,,0,E70 +SV,4533,EAM,2075,JED,2072,,0,E70 320 321 +SV,4533,EAM,2075,RUH,2082,,0,320 321 +SV,4533,EJH,2095,JED,2072,,0,E70 +SV,4533,ELQ,2067,DMM,2064,,0,320 321 +SV,4533,ELQ,2067,JED,2072,,0,320 321 +SV,4533,ELQ,2067,MED,2074,,0,E70 +SV,4533,ELQ,2067,RUH,2082,,0,E70 320 321 +SV,4533,FCO,1555,JED,2072,,0,320 +SV,4533,FCO,1555,RUH,2082,,0,320 +SV,4533,FRA,340,JED,2072,,0,320 +SV,4533,FRA,340,RUH,2082,,0,320 +SV,4533,GBT,6747,MED,2074,,0,320 +SV,4533,GIZ,2066,DMM,2064,,0,320 +SV,4533,GIZ,2066,JED,2072,,0,321 +SV,4533,GIZ,2066,RUH,2082,,0,321 +SV,4533,GVA,1665,JED,2072,,0,320 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+TK,4951,FRU,2912,ULN,3380,,0,738 +TK,4951,FUK,2305,ICN,3930,Y,0,321 763 +TK,4951,GNY,9044,ESB,1682,Y,0,73W 738 +TK,4951,GNY,9044,IST,1701,,0,320 +TK,4951,GOA,1528,IST,1701,,0,738 739 330 +TK,4951,GOT,687,IST,1701,,0,739 738 +TK,4951,GRU,2564,EZE,3988,,0,343 +TK,4951,GRU,2564,IST,1701,,0,343 +TK,4951,GVA,1665,IST,1701,,0,320 738 321 +TK,4951,GYD,2922,IST,1701,,0,321 738 320 +TK,4951,GZP,8266,ESB,1682,Y,0,73G +TK,4951,GZT,1689,ESB,1682,Y,0,73G 73W 738 +TK,4951,GZT,1689,IST,1701,,0,320 738 319 321 73W +TK,4951,GZT,1689,SAW,4317,Y,0,73G +TK,4951,HAJ,352,IST,1701,,0,321 739 738 +TK,4951,HAM,342,ADB,1706,,0,320 +TK,4951,HAM,342,AYT,1688,,0,320 +TK,4951,HAM,342,IST,1701,,0,320 321 738 +TK,4951,HBE,3410,IST,1701,,0,73W 319 +TK,4951,HEL,421,IST,1701,,0,321 +TK,4951,HIJ,2326,ICN,3930,,0,321 +TK,4951,HKG,3077,BKK,3885,Y,0,330 +TK,4951,HKG,3077,IST,1701,,0,77W +TK,4951,HRE,1005,LUN,907,Y,0,788 +TK,4951,HRG,1130,IST,1701,,0,738 320 +TK,4951,HTY,7453,ESB,1682,Y,0,738 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+TK,4951,IST,1701,DOK,2940,,0,319 73W 738 +TK,4951,IST,1701,DUB,599,,0,738 +TK,4951,IST,1701,DUS,345,,0,330 321 332 738 343 +TK,4951,IST,1701,DXB,2188,,0,77W 321 343 332 330 +TK,4951,IST,1701,DYU,2979,,0,321 +TK,4951,IST,1701,EBL,3989,,0,321 +TK,4951,IST,1701,ECN,5780,,0,321 738 320 +TK,4951,IST,1701,EDI,535,,0,738 739 +TK,4951,IST,1701,ELQ,2067,,0,319 73W +TK,4951,IST,1701,ERC,1723,,0,320 738 +TK,4951,IST,1701,ERZ,1724,,0,321 738 320 +TK,4951,IST,1701,ESB,1682,,0,738 320 330 739 321 319 343 +TK,4951,IST,1701,EZS,1721,,0,320 +TK,4951,IST,1701,FCO,1555,,0,321 320 319 +TK,4951,IST,1701,FDH,382,,0,738 +TK,4951,IST,1701,FIH,1020,,0,739 +TK,4951,IST,1701,FRA,340,,0,320 330 321 343 332 +TK,4951,IST,1701,FRU,2912,,0,738 33X +TK,4951,IST,1701,GNY,9044,,0,320 +TK,4951,IST,1701,GOA,1528,,0,738 739 330 +TK,4951,IST,1701,GOT,687,,0,739 738 +TK,4951,IST,1701,GRU,2564,,0,343 +TK,4951,IST,1701,GVA,1665,,0,738 321 320 +TK,4951,IST,1701,GYD,2922,,0,321 738 320 +TK,4951,IST,1701,GZT,1689,,0,320 738 319 321 73W +TK,4951,IST,1701,HAJ,352,,0,321 739 738 +TK,4951,IST,1701,HAM,342,,0,321 320 738 +TK,4951,IST,1701,HBE,3410,,0,73W 319 +TK,4951,IST,1701,HEL,421,,0,321 +TK,4951,IST,1701,HKG,3077,,0,77W +TK,4951,IST,1701,HRG,1130,,0,738 320 +TK,4951,IST,1701,HTY,7453,,0,73W 738 320 321 +TK,4951,IST,1701,IAD,3714,,0,330 +TK,4951,IST,1701,IAH,3550,,0,77W +TK,4951,IST,1701,ICN,3930,,0,343 330 +TK,4951,IST,1701,IFN,4150,,0,738 +TK,4951,IST,1701,IGD,9043,,0,320 +TK,4951,IST,1701,IKA,4330,,0,321 738 332 739 343 +TK,4951,IST,1701,ISB,2223,,0,738 +TK,4951,IST,1701,ISE,5801,,0,738 73W 319 +TK,4951,IST,1701,ISU,5952,,0,321 738 739 +TK,4951,IST,1701,JED,2072,,0,321 330 332 +TK,4951,IST,1701,JFK,3797,,0,330 77W +TK,4951,IST,1701,JIB,4119,,0,320 +TK,4951,IST,1701,JNB,813,,0,330 +TK,4951,IST,1701,JRO,1180,,0,739 +TK,4951,IST,1701,KAN,270,,0,738 739 +TK,4951,IST,1701,KBL,2050,,0,332 +TK,4951,IST,1701,KBP,2939,,0,321 +TK,4951,IST,1701,KCM,5798,,0,319 +TK,4951,IST,1701,KFS,9273,,0,319 738 +TK,4951,IST,1701,KGL,1165,,0,739 +TK,4951,IST,1701,KHI,2206,,0,738 +TK,4951,IST,1701,KIV,1735,,0,319 73W +TK,4951,IST,1701,KIX,3992,,0,330 +TK,4951,IST,1701,KRT,1175,,0,738 +TK,4951,IST,1701,KSH,2114,,0,319 320 +TK,4951,IST,1701,KSY,5796,,0,319 738 +TK,4951,IST,1701,KTM,3125,,0,332 330 +TK,4951,IST,1701,KUL,3304,,0,330 +TK,4951,IST,1701,KVD,6089,,0,738 319 +TK,4951,IST,1701,KWI,2176,,0,332 321 343 +TK,4951,IST,1701,KYA,1691,,0,319 320 738 +TK,4951,IST,1701,KZN,2990,,0,738 319 +TK,4951,IST,1701,KZR,9045,,0,319 738 +TK,4951,IST,1701,LAX,3484,,0,77W +TK,4951,IST,1701,LED,2948,,0,321 738 +TK,4951,IST,1701,LEJ,348,,0,320 +TK,4951,IST,1701,LGW,502,,0,739 321 738 +TK,4951,IST,1701,LHE,2207,,0,738 +TK,4951,IST,1701,LHR,507,,0,77W 321 +TK,4951,IST,1701,LIS,1638,,0,321 738 +TK,4951,IST,1701,LJU,1569,,0,CR9 319 +TK,4951,IST,1701,LOS,273,,0,739 +TK,4951,IST,1701,LUX,629,,0,73W 739 738 +TK,4951,IST,1701,LWO,2945,,0,738 739 +TK,4951,IST,1701,LYS,1335,,0,738 321 330 +TK,4951,IST,1701,MAD,1229,,0,332 738 739 321 +TK,4951,IST,1701,MAN,478,,0,321 +TK,4951,IST,1701,MCT,2194,,0,739 738 +TK,4951,IST,1701,MED,2074,,0,321 343 330 332 +TK,4951,IST,1701,MHD,4331,,0,319 73W +TK,4951,IST,1701,MLA,1606,,0,319 738 +TK,4951,IST,1701,MLE,3156,,0,330 +TK,4951,IST,1701,MLX,1695,,0,738 320 319 +TK,4951,IST,1701,MQM,6753,,0,320 +TK,4951,IST,1701,MRA,5804,,0,319 +TK,4951,IST,1701,MRS,1353,,0,738 321 319 +TK,4951,IST,1701,MSQ,2954,,0,320 +TK,4951,IST,1701,MSR,6782,,0,320 +TK,4951,IST,1701,MUC,346,,0,321 320 738 +TK,4951,IST,1701,MXP,1524,,0,321 739 320 +TK,4951,IST,1701,MZH,1693,,0,320 +TK,4951,IST,1701,MZR,2053,,0,320 738 +TK,4951,IST,1701,NAJ,6090,,0,319 +TK,4951,IST,1701,NAP,1561,,0,738 +TK,4951,IST,1701,NAV,3987,,0,738 320 319 +TK,4951,IST,1701,NBO,4059,,0,738 +TK,4951,IST,1701,NCE,1354,,0,320 738 321 +TK,4951,IST,1701,NIM,280,,0,739 738 +TK,4951,IST,1701,NJF,7490,,0,738 +TK,4951,IST,1701,NOP,\N,,0,319 320 +TK,4951,IST,1701,NRT,2279,,0,330 77W +TK,4951,IST,1701,NSI,4161,,0,739 +TK,4951,IST,1701,NUE,347,,0,320 738 +TK,4951,IST,1701,ODS,2947,,0,738 739 +TK,4951,IST,1701,ORD,3830,,0,330 +TK,4951,IST,1701,ORN,231,,0,738 +TK,4951,IST,1701,OSL,644,,0,321 738 +TK,4951,IST,1701,OSM,\N,,0,73W +TK,4951,IST,1701,OSS,2913,,0,319 +TK,4951,IST,1701,OTP,1657,,0,738 319 320 321 +TK,4951,IST,1701,OVB,4078,,0,738 +TK,4951,IST,1701,PEK,3364,,0,77W +TK,4951,IST,1701,PRG,1587,,0,738 321 320 +TK,4951,IST,1701,PRN,1742,,0,320 73W 319 738 +TK,4951,IST,1701,PVG,3406,,0,77W +TK,4951,IST,1701,RIX,3953,,0,320 +TK,4951,IST,1701,ROV,2964,,0,319 +TK,4951,IST,1701,RTM,591,,0,320 +TK,4951,IST,1701,RUH,2082,,0,321 332 +TK,4951,IST,1701,SAH,3980,,0,738 +TK,4951,IST,1701,SIN,3316,,0,330 +TK,4951,IST,1701,SJJ,1646,,0,320 738 321 +TK,4951,IST,1701,SKG,1486,,0,738 +TK,4951,IST,1701,SKP,1737,,0,319 +TK,4951,IST,1701,SOF,1194,,0,738 320 +TK,4951,IST,1701,SSH,4057,,0,738 319 +TK,4951,IST,1701,STR,350,,0,320 321 +TK,4951,IST,1701,SVX,2975,,0,321 +TK,4951,IST,1701,SYZ,2157,,0,320 319 +TK,4951,IST,1701,SZG,1612,,0,320 +TK,4951,IST,1701,TAS,2983,,0,321 +TK,4951,IST,1701,TBS,3973,,0,319 73W 738 320 +TK,4951,IST,1701,TBZ,2162,,0,738 319 +TK,4951,IST,1701,TGD,1741,,0,319 +TK,4951,IST,1701,TIA,1190,,0,319 +TK,4951,IST,1701,TIF,2090,,0,319 +TK,4951,IST,1701,TIP,1157,,0,320 738 +TK,4951,IST,1701,TLL,415,,0,319 +TK,4951,IST,1701,TLS,1273,,0,320 321 +TK,4951,IST,1701,TLV,1590,,0,321 738 320 330 332 739 319 +TK,4951,IST,1701,TRN,1526,,0,73W 738 319 320 +TK,4951,IST,1701,TSE,2910,,0,738 320 +TK,4951,IST,1701,TUN,287,,0,739 321 738 +TK,4951,IST,1701,TXL,351,,0,738 320 321 +TK,4951,IST,1701,TZX,1726,,0,320 321 319 738 73W +TK,4951,IST,1701,UFA,2992,,0,319 +TK,4951,IST,1701,VAN,1728,,0,320 319 73W +TK,4951,IST,1701,VAS,1694,,0,320 319 +TK,4951,IST,1701,VCE,1551,,0,321 739 738 320 319 +TK,4951,IST,1701,VIE,1613,,0,321 738 330 320 +TK,4951,IST,1701,VKO,2988,,0,321 738 +TK,4951,IST,1701,VLC,1246,,0,738 +TK,4951,IST,1701,VNO,3959,,0,319 +TK,4951,IST,1701,WAW,679,,0,321 +TK,4951,IST,1701,YNB,2096,,0,320 321 +TK,4951,IST,1701,YYZ,193,,0,763 77W +TK,4951,IST,1701,ZAG,1208,,0,739 319 320 738 +TK,4951,IST,1701,ZRH,1678,,0,321 320 738 +TK,4951,ISU,5952,IST,1701,,0,321 738 739 +TK,4951,JED,2072,IST,1701,,0,321 330 332 +TK,4951,JFK,3797,IST,1701,,0,330 77W +TK,4951,JIB,4119,IST,1701,,0,320 +TK,4951,JIB,4119,MGQ,5687,,0,320 +TK,4951,JNB,813,CPT,797,,0,330 +TK,4951,JNB,813,IST,1701,,0,330 +TK,4951,JRO,1180,MBA,1145,,0,739 +TK,4951,JUB,1173,ADD,1107,Y,0,73W DH8 +TK,4951,JUB,1173,CAI,1128,Y,0,320 +TK,4951,KAN,270,NDJ,999,,0,738 +TK,4951,KBL,2050,IST,1701,,0,332 +TK,4951,KBP,2939,IST,1701,,0,321 +TK,4951,KBP,2939,SAW,4317,,0,738 +TK,4951,KCM,5798,ESB,1682,Y,0,738 +TK,4951,KCM,5798,IST,1701,,0,319 +TK,4951,KCO,\N,ESB,1682,Y,0,73W +TK,4951,KFS,9273,IST,1701,,0,319 738 +TK,4951,KGL,1165,EBB,1187,,0,739 +TK,4951,KHI,2206,IST,1701,,0,738 +TK,4951,KIV,1735,IST,1701,,0,319 73W +TK,4951,KIX,3992,IST,1701,,0,330 +TK,4951,KRT,1175,IST,1701,,0,738 +TK,4951,KSH,2114,IST,1701,,0,320 319 +TK,4951,KSY,5796,ESB,1682,Y,0,738 +TK,4951,KSY,5796,IST,1701,,0,319 738 +TK,4951,KSY,5796,SAW,4317,Y,0,738 +TK,4951,KTM,3125,IST,1701,,0,330 332 +TK,4951,KUL,3304,BKK,3885,Y,0,330 +TK,4951,KUL,3304,IST,1701,,0,330 +TK,4951,KVD,6089,IST,1701,,0,319 738 +TK,4951,KWI,2176,IST,1701,,0,321 332 343 +TK,4951,KWI,2176,SAW,4317,,0,738 +TK,4951,KYA,1691,IST,1701,,0,319 320 738 +TK,4951,KYA,1691,SAW,4317,Y,0,73W +TK,4951,KZN,2990,IST,1701,,0,319 738 +TK,4951,KZR,9045,IST,1701,,0,319 738 +TK,4951,LAX,3484,IST,1701,,0,77W +TK,4951,LBV,970,IST,1701,,0,739 +TK,4951,LED,2948,IST,1701,,0,321 738 +TK,4951,LEJ,348,IST,1701,,0,320 +TK,4951,LGW,502,IST,1701,,0,739 321 738 +TK,4951,LGW,502,SAW,4317,,0,738 +TK,4951,LHE,2207,IST,1701,,0,738 +TK,4951,LHR,507,IST,1701,,0,321 77W +TK,4951,LIS,1638,IST,1701,,0,321 738 +TK,4951,LJU,1569,IST,1701,,0,319 CR9 +TK,4951,LOS,273,IST,1701,,0,739 +TK,4951,LUX,629,IST,1701,,0,73W 739 738 +TK,4951,LWO,2945,IST,1701,,0,738 739 +TK,4951,LYS,1335,IST,1701,,0,738 321 330 +TK,4951,MAD,1229,IST,1701,,0,332 738 739 321 +TK,4951,MAN,478,IST,1701,,0,321 +TK,4951,MBA,1145,IST,1701,,0,739 +TK,4951,MCT,2194,BAH,2057,,0,321 +TK,4951,MCT,2194,IST,1701,,0,739 738 +TK,4951,MED,2074,IST,1701,,0,321 343 330 332 +TK,4951,MEL,3339,BKK,3885,Y,0,773 777 +TK,4951,MGQ,5687,JIB,4119,,0,320 +TK,4951,MHD,4331,IST,1701,,0,319 73W +TK,4951,MLA,1606,IST,1701,,0,319 738 +TK,4951,MLA,1606,SAW,4317,Y,0,320 +TK,4951,MLE,3156,CMB,3024,,0,330 +TK,4951,MLE,3156,IST,1701,,0,330 +TK,4951,MLX,1695,ESB,1682,Y,0,73W +TK,4951,MLX,1695,IST,1701,,0,738 320 319 +TK,4951,MQM,6753,ESB,1682,Y,0,738 +TK,4951,MQM,6753,IST,1701,,0,320 +TK,4951,MQM,6753,SAW,4317,Y,0,738 +TK,4951,MRA,5804,IST,1701,,0,319 +TK,4951,MRS,1353,IST,1701,,0,738 321 319 +TK,4951,MSQ,2954,IST,1701,,0,320 +TK,4951,MSR,6782,ESB,1682,Y,0,738 +TK,4951,MSR,6782,IST,1701,,0,320 +TK,4951,MSY,3861,IAH,3550,Y,0,73G 738 +TK,4951,MUC,346,IST,1701,,0,320 321 738 +TK,4951,MUC,346,SAW,4317,,0,738 +TK,4951,MXP,1524,IST,1701,,0,320 321 739 +TK,4951,MXP,1524,SAW,4317,,0,738 +TK,4951,MZH,1693,IST,1701,,0,320 +TK,4951,MZR,2053,IST,1701,,0,320 738 +TK,4951,NAJ,6090,KVD,6089,,0,319 +TK,4951,NAP,1561,IST,1701,,0,738 +TK,4951,NAV,3987,IST,1701,,0,738 320 319 +TK,4951,NBO,4059,IST,1701,,0,738 +TK,4951,NCE,1354,IST,1701,,0,320 738 321 +TK,4951,NDJ,999,IST,1701,,0,738 739 +TK,4951,NGO,3942,ICN,3930,Y,0,321 +TK,4951,NIM,280,OUA,246,,0,739 +TK,4951,NJF,7490,IST,1701,,0,738 +TK,4951,NKC,1094,DKR,1084,,0,739 +TK,4951,NOP,\N,IST,1701,,0,319 320 +TK,4951,NRT,2279,IST,1701,,0,77W 330 +TK,4951,NSI,4161,DLA,897,,0,739 +TK,4951,NUE,347,IST,1701,,0,320 738 +TK,4951,ODS,2947,IST,1701,,0,738 739 +TK,4951,ORD,3830,IST,1701,,0,330 +TK,4951,ORN,231,IST,1701,,0,738 +TK,4951,OSL,644,IST,1701,,0,321 738 +TK,4951,OSM,\N,IST,1701,,0,73W +TK,4951,OSS,2913,IST,1701,,0,319 +TK,4951,OTP,1657,IST,1701,,0,320 738 319 321 +TK,4951,OUA,246,IST,1701,,0,739 738 +TK,4951,OVB,4078,IST,1701,,0,738 +TK,4951,PEK,3364,IST,1701,,0,77W +TK,4951,PER,3351,BKK,3885,Y,0,330 +TK,4951,PRG,1587,IST,1701,,0,738 321 320 +TK,4951,PRN,1742,IST,1701,,0,320 73W 319 738 +TK,4951,PVG,3406,IST,1701,,0,77W +TK,4951,RIX,3953,IST,1701,,0,320 +TK,4951,ROV,2964,IST,1701,,0,319 +TK,4951,RTM,591,IST,1701,,0,320 +TK,4951,RUH,2082,IST,1701,,0,330 321 332 +TK,4951,SAH,3980,ADE,3977,,0,738 +TK,4951,SAW,4317,ADA,1685,Y,0,738 +TK,4951,SAW,4317,ADB,1706,,0,738 320 +TK,4951,SAW,4317,AMS,580,,0,738 +TK,4951,SAW,4317,ASF,2966,,0,738 +TK,4951,SAW,4317,ASR,1696,Y,0,73W +TK,4951,SAW,4317,AYT,1688,,0,738 +TK,4951,SAW,4317,BJV,4315,,0,738 +TK,4951,SAW,4317,BRU,302,,0,738 +TK,4951,SAW,4317,CDG,1382,,0,738 +TK,4951,SAW,4317,DIY,1722,Y,0,738 +TK,4951,SAW,4317,DUS,345,,0,738 +TK,4951,SAW,4317,ECN,5780,,0,738 +TK,4951,SAW,4317,ERZ,1724,Y,0,73W 738 +TK,4951,SAW,4317,ESB,1682,,0,738 +TK,4951,SAW,4317,EZS,1721,Y,0,73W +TK,4951,SAW,4317,FRA,340,,0,738 +TK,4951,SAW,4317,GZT,1689,Y,0,73G +TK,4951,SAW,4317,HTY,7453,Y,0,73W +TK,4951,SAW,4317,IKA,4330,,0,738 +TK,4951,SAW,4317,KBP,2939,,0,738 +TK,4951,SAW,4317,KSY,5796,Y,0,738 +TK,4951,SAW,4317,KWI,2176,,0,738 +TK,4951,SAW,4317,KYA,1691,Y,0,73W +TK,4951,SAW,4317,LGW,502,,0,738 +TK,4951,SAW,4317,MLA,1606,Y,0,320 +TK,4951,SAW,4317,MQM,6753,Y,0,738 +TK,4951,SAW,4317,MUC,346,,0,738 +TK,4951,SAW,4317,MXP,1524,,0,738 +TK,4951,SAW,4317,SJJ,1646,,0,738 +TK,4951,SAW,4317,STW,2963,,0,320 +TK,4951,SAW,4317,TBS,3973,,0,738 +TK,4951,SAW,4317,TLV,1590,,0,738 +TK,4951,SAW,4317,TZX,1726,Y,0,738 +TK,4951,SAW,4317,VAN,1728,Y,0,738 +TK,4951,SAW,4317,VAS,1694,Y,0,738 +TK,4951,SAW,4317,VIE,1613,,0,738 +TK,4951,SCQ,1243,BIO,1216,,0,320 +TK,4951,SGN,3205,BKK,3885,,0,77W +TK,4951,SIN,3316,CGK,3275,,0,330 +TK,4951,SIN,3316,IST,1701,,0,330 +TK,4951,SJJ,1646,IST,1701,,0,320 738 321 +TK,4951,SJJ,1646,SAW,4317,,0,738 +TK,4951,SKG,1486,IST,1701,,0,738 +TK,4951,SKP,1737,IST,1701,,0,319 +TK,4951,SOF,1194,IST,1701,,0,738 320 +TK,4951,SSG,891,ADD,1107,Y,0,763 +TK,4951,SSG,891,DLA,897,Y,0,763 +TK,4951,SSH,4057,IST,1701,,0,738 319 +TK,4951,STR,350,IST,1701,,0,320 321 +TK,4951,STW,2963,SAW,4317,,0,320 +TK,4951,SVX,2975,IST,1701,,0,321 +TK,4951,SYD,3361,BKK,3885,Y,0,747 +TK,4951,SYD,3361,ICN,3930,Y,0,772 +TK,4951,SYZ,2157,IST,1701,,0,320 319 +TK,4951,SZG,1612,IST,1701,,0,320 +TK,4951,TAS,2983,IST,1701,,0,321 +TK,4951,TBS,3973,IST,1701,,0,319 73W 738 320 +TK,4951,TBS,3973,SAW,4317,,0,738 +TK,4951,TBZ,2162,IST,1701,,0,738 319 +TK,4951,TEQ,6784,ESB,1682,Y,0,73W +TK,4951,TGD,1741,IST,1701,,0,319 +TK,4951,TIA,1190,IST,1701,,0,319 +TK,4951,TIF,2090,IST,1701,,0,319 +TK,4951,TIP,1157,IST,1701,,0,320 738 +TK,4951,TIP,1157,TUN,287,,0,33X +TK,4951,TLL,415,IST,1701,,0,319 +TK,4951,TLL,415,VNO,3959,,0,319 +TK,4951,TLS,1273,IST,1701,,0,320 321 +TK,4951,TLV,1590,IST,1701,,0,738 321 320 330 332 739 319 +TK,4951,TLV,1590,SAW,4317,,0,738 +TK,4951,TRN,1526,IST,1701,,0,73W 738 319 320 +TK,4951,TSE,2910,IST,1701,,0,320 738 +TK,4951,TUN,287,IST,1701,,0,739 321 738 +TK,4951,TXL,351,IST,1701,,0,320 738 321 +TK,4951,TZX,1726,ESB,1682,Y,0,738 +TK,4951,TZX,1726,IST,1701,,0,73W 320 321 319 738 +TK,4951,TZX,1726,SAW,4317,Y,0,738 +TK,4951,UFA,2992,IST,1701,,0,319 +TK,4951,ULN,3380,FRU,2912,,0,738 +TK,4951,VAN,1728,ESB,1682,Y,0,738 +TK,4951,VAN,1728,IST,1701,,0,320 319 73W +TK,4951,VAN,1728,SAW,4317,Y,0,738 +TK,4951,VAS,1694,IST,1701,,0,320 319 +TK,4951,VAS,1694,SAW,4317,Y,0,738 +TK,4951,VCE,1551,IST,1701,,0,321 739 738 320 319 +TK,4951,VIE,1613,ESB,1682,,0,738 +TK,4951,VIE,1613,IST,1701,,0,738 321 330 320 +TK,4951,VIE,1613,SAW,4317,,0,738 +TK,4951,VKO,2988,AYT,1688,,0,321 +TK,4951,VKO,2988,ESB,1682,,0,738 +TK,4951,VKO,2988,IST,1701,,0,738 321 +TK,4951,VLC,1246,IST,1701,,0,738 +TK,4951,VNO,3959,IST,1701,,0,319 +TK,4951,VNO,3959,TLL,415,,0,319 +TK,4951,VVO,2934,ICN,3930,,0,321 +TK,4951,WAW,679,IST,1701,,0,321 +TK,4951,YNB,2096,IST,1701,,0,320 321 +TK,4951,YYZ,193,ATL,3682,Y,0,CRA +TK,4951,YYZ,193,IST,1701,,0,77W 763 +TK,4951,ZAG,1208,IST,1701,,0,739 319 320 738 +TK,4951,ZRH,1678,IST,1701,,0,320 321 738 +TL,338,BME,4319,DRW,3999,,0,E70 +TL,338,BME,4319,KNX,3347,,0,E70 +TL,338,BME,4319,KTA,3345,,0,E70 +TL,338,DIL,3310,DRW,3999,,0,E70 +TL,338,DRW,3999,BME,4319,,0,E70 +TL,338,DRW,3999,DIL,3310,,0,E70 +TL,338,DRW,3999,GOV,6316,,0,EM2 +TL,338,DRW,3999,GTE,6270,,0,EM2 +TL,338,DRW,3999,ISA,3324,,0,E70 +TL,338,DRW,3999,KNX,3347,,0,E70 +TL,338,DRW,3999,MCV,6297,,0,E70 +TL,338,DRW,3999,MNG,6296,,0,EM2 +TL,338,DRW,3999,TSV,3330,,0,E70 +TL,338,ELC,6265,MNG,6296,,0,EM2 +TL,338,GOV,6316,DRW,3999,,0,EM2 +TL,338,GOV,6316,GTE,6270,,0,EM2 +TL,338,GTE,6270,DRW,3999,,0,EM2 +TL,338,GTE,6270,GOV,6316,,0,EM2 +TL,338,ISA,3324,DRW,3999,,0,E70 +TL,338,ISA,3324,OOL,3321,,0,E70 +TL,338,KNX,3347,BME,4319,,0,E70 +TL,338,KNX,3347,DRW,3999,,0,E70 +TL,338,KNX,3347,PER,3351,,0,E70 +TL,338,KTA,3345,PHE,3349,,0,E70 +TL,338,MCV,6297,DRW,3999,,0,E70 +TL,338,MGT,6295,MNG,6296,,0,EM2 +TL,338,MNG,6296,DRW,3999,,0,EM2 +TL,338,MNG,6296,ELC,6265,,0,EM2 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+TOM,5013,NCL,521,DLM,1715,,0,73H +TOM,5013,NCL,521,NBE,7447,,0,73H +TOM,5013,NCL,521,PMI,3998,,0,73H +TOM,5013,NCL,521,TFS,1056,,0,73H +TOM,5013,PFO,1198,EMA,523,,0,73H +TOM,5013,PFO,1198,LGW,502,,0,73H +TOM,5013,PFO,1198,MAN,478,,0,73H +TOM,5013,PMI,3998,BHX,469,,0,75W 73H +TOM,5013,PMI,3998,BRS,490,,0,75W +TOM,5013,PMI,3998,DSA,5562,,0,73H +TOM,5013,PMI,3998,EMA,523,,0,73H +TOM,5013,PMI,3998,EXT,552,,0,73H +TOM,5013,PMI,3998,GLA,534,,0,75W +TOM,5013,PMI,3998,LGW,502,,0,73H +TOM,5013,PMI,3998,MAN,478,,0,73H +TOM,5013,PMI,3998,NCL,521,,0,73H +TOM,5013,PVK,1470,LGW,502,,0,73H +TOM,5013,RAK,1075,LGW,502,,0,73H +TOM,5013,RAK,1075,MAN,478,,0,73H +TOM,5013,RHO,1472,LGW,502,,0,73H +TOM,5013,RHO,1472,MAN,478,,0,75W +TOM,5013,SID,1102,LGW,502,,0,75W +TOM,5013,SID,1102,MAN,478,,0,75W +TOM,5013,SSH,4057,BHX,469,,0,75W +TOM,5013,SSH,4057,LGW,502,,0,75W 73H +TOM,5013,SSH,4057,MAN,478,,0,73H +TOM,5013,STN,548,ACE,1055,,0,73H +TOM,5013,STN,548,PMI,3998,,0,73H +TOM,5013,STN,548,TFS,1056,,0,73H +TOM,5013,TFS,1056,BHX,469,,0,75W +TOM,5013,TFS,1056,BRS,490,,0,75W +TOM,5013,TFS,1056,CWL,488,,0,73H +TOM,5013,TFS,1056,EMA,523,,0,73H +TOM,5013,TFS,1056,GLA,534,,0,75W +TOM,5013,TFS,1056,LGW,502,,0,73H 75W +TOM,5013,TFS,1056,MAN,478,,0,75W 73H +TOM,5013,TFS,1056,NCL,521,,0,73H +TOM,5013,TFS,1056,STN,548,,0,73H +TP,4869,ACC,248,LIS,1638,,0,320 +TP,4869,AGP,1230,LIS,1638,Y,0,BEH +TP,4869,ALG,210,LIS,1638,Y,0,100 ER4 +TP,4869,AMS,580,AUH,2179,,0,332 +TP,4869,AMS,580,LIS,1638,,0,319 320 +TP,4869,AMS,580,OPO,1636,Y,0,100 ER4 +TP,4869,ARN,737,LIS,1638,,0,320 +TP,4869,AUH,2179,AMS,580,,0,332 +TP,4869,AUH,2179,CMN,1074,Y,0,333 +TP,4869,AUH,2179,LHR,507,Y,0,346 +TP,4869,BCN,1218,LIS,1638,,0,ER4 320 319 100 +TP,4869,BCN,1218,OPO,1636,Y,0,ER4 +TP,4869,BIO,1216,LIS,1638,Y,0,ER4 100 +TP,4869,BKO,1044,LIS,1638,,0,319 320 +TP,4869,BLQ,1538,LIS,1638,,0,319 320 +TP,4869,BLQ,1538,ZAG,1208,,0,319 320 +TP,4869,BOD,1264,LIS,1638,Y,0,100 ER4 +TP,4869,BOS,3448,LIS,1638,Y,0,313 +TP,4869,BOS,3448,PDL,1633,Y,0,313 +TP,4869,BRU,302,FAO,1626,Y,0,320 319 +TP,4869,BRU,302,LIS,1638,,0,319 321 320 100 +TP,4869,BRU,302,OPO,1636,Y,0,319 100 ER4 +TP,4869,BSB,2531,LIS,1638,,0,332 +TP,4869,BUD,1489,LIS,1638,,0,320 321 319 +TP,4869,BVC,1103,LIS,1638,,0,320 +TP,4869,CCS,2851,FNC,4091,,0,332 +TP,4869,CCS,2851,LIS,1638,,0,332 +TP,4869,CCS,2851,OPO,1636,,0,332 +TP,4869,CMN,1074,AUH,2179,Y,0,333 +TP,4869,CMN,1074,LIS,1638,,0,100 319 +TP,4869,CNF,2537,LIS,1638,,0,332 343 +TP,4869,CPH,609,LIS,1638,,0,320 321 +TP,4869,DKR,1084,LIS,1638,,0,321 +TP,4869,DME,4029,LIS,1638,,0,320 +TP,4869,DUS,345,LIS,1638,,0,319 320 +TP,4869,DXB,2188,LIS,1638,Y,0,77W +TP,4869,EWR,3494,LIS,1638,,0,343 332 +TP,4869,EWR,3494,OPO,1636,,0,332 +TP,4869,FAO,1626,BRU,302,Y,0,320 319 +TP,4869,FAO,1626,FRA,340,Y,0,32A 321 320 +TP,4869,FAO,1626,LIS,1638,,0,319 320 ER4 +TP,4869,FAO,1626,MUC,346,Y,0,321 +TP,4869,FCO,1555,LIS,1638,,0,320 321 319 +TP,4869,FCO,1555,OPO,1636,,0,100 +TP,4869,FNC,4091,CCS,2851,,0,332 +TP,4869,FNC,4091,LGW,502,,0,319 +TP,4869,FNC,4091,LIS,1638,,0,321 319 320 100 332 +TP,4869,FNC,4091,OPO,1636,,0,319 320 100 +TP,4869,FNC,4091,PDL,1633,Y,0,DH4 +TP,4869,FNC,4091,VIE,1613,Y,0,321 +TP,4869,FOR,2559,LIS,1638,,0,332 +TP,4869,FRA,340,FAO,1626,Y,0,32A 321 320 +TP,4869,FRA,340,LIS,1638,,0,320 319 321 +TP,4869,FRA,340,OPO,1636,Y,0,321 +TP,4869,GIG,2560,LIS,1638,,0,332 343 +TP,4869,GIG,2560,OPO,1636,,0,332 +TP,4869,GRU,2564,LIS,1638,,0,343 332 +TP,4869,GRU,2564,OPO,1636,,0,332 +TP,4869,GVA,1665,LIS,1638,,0,320 319 321 +TP,4869,GVA,1665,OPO,1636,,0,320 319 +TP,4869,HAM,342,LIS,1638,,0,320 319 321 +TP,4869,HEL,421,LIS,1638,,0,320 +TP,4869,HOR,1628,LIS,1638,,0,319 320 +TP,4869,IST,1701,LIS,1638,,0,321 +TP,4869,KBP,2939,LIS,1638,Y,0,738 +TP,4869,LAD,951,LIS,1638,,0,343 +TP,4869,LCG,1220,LIS,1638,Y,0,BEH +TP,4869,LGW,502,FNC,4091,,0,319 320 +TP,4869,LGW,502,LIS,1638,,0,319 320 +TP,4869,LGW,502,OPO,1636,,0,320 319 +TP,4869,LHR,507,LIS,1638,,0,319 320 321 +TP,4869,LIS,1638,ACC,248,,0,320 +TP,4869,LIS,1638,AGP,1230,Y,0,BEH +TP,4869,LIS,1638,ALG,210,Y,0,100 ER4 +TP,4869,LIS,1638,AMS,580,,0,320 319 +TP,4869,LIS,1638,ARN,737,,0,320 +TP,4869,LIS,1638,BCN,1218,,0,320 ER4 319 100 +TP,4869,LIS,1638,BIO,1216,Y,0,ER4 100 +TP,4869,LIS,1638,BKO,1044,,0,319 320 +TP,4869,LIS,1638,BLQ,1538,,0,319 320 +TP,4869,LIS,1638,BOD,1264,Y,0,100 ER4 +TP,4869,LIS,1638,BOS,3448,Y,0,313 +TP,4869,LIS,1638,BRU,302,,0,321 320 319 100 +TP,4869,LIS,1638,BSB,2531,,0,332 +TP,4869,LIS,1638,BUD,1489,,0,320 321 319 +TP,4869,LIS,1638,BVC,1103,,0,320 +TP,4869,LIS,1638,CCS,2851,,0,332 +TP,4869,LIS,1638,CMN,1074,Y,0,100 319 ER4 BEH +TP,4869,LIS,1638,CNF,2537,,0,332 343 +TP,4869,LIS,1638,CPH,609,,0,321 320 +TP,4869,LIS,1638,DKR,1084,,0,321 +TP,4869,LIS,1638,DME,4029,,0,320 +TP,4869,LIS,1638,DUS,345,,0,319 320 +TP,4869,LIS,1638,DXB,2188,Y,0,77W +TP,4869,LIS,1638,EWR,3494,,0,343 332 +TP,4869,LIS,1638,FAO,1626,,0,319 320 ER4 +TP,4869,LIS,1638,FCO,1555,,0,321 319 320 +TP,4869,LIS,1638,FNC,4091,,0,319 320 100 321 332 +TP,4869,LIS,1638,FOR,2559,,0,332 +TP,4869,LIS,1638,FRA,340,,0,319 321 320 +TP,4869,LIS,1638,GIG,2560,,0,332 343 +TP,4869,LIS,1638,GRU,2564,,0,343 332 +TP,4869,LIS,1638,GVA,1665,,0,319 320 321 +TP,4869,LIS,1638,HAM,342,,0,319 320 321 +TP,4869,LIS,1638,HEL,421,,0,320 +TP,4869,LIS,1638,HOR,1628,,0,319 320 +TP,4869,LIS,1638,IST,1701,,0,321 +TP,4869,LIS,1638,KBP,2939,Y,0,738 +TP,4869,LIS,1638,LAD,951,,0,343 +TP,4869,LIS,1638,LCG,1220,Y,0,BEH +TP,4869,LIS,1638,LGW,502,,0,319 320 +TP,4869,LIS,1638,LHR,507,,0,319 320 321 +TP,4869,LIS,1638,LUX,629,,0,319 320 100 +TP,4869,LIS,1638,LYS,1335,Y,0,100 ER4 +TP,4869,LIS,1638,MAD,1229,,0,ER4 319 320 100 +TP,4869,LIS,1638,MAN,478,,0,319 320 +TP,4869,LIS,1638,MIA,3576,,0,332 343 +TP,4869,LIS,1638,MPM,979,,0,332 343 +TP,4869,LIS,1638,MRS,1353,Y,0,ER4 100 +TP,4869,LIS,1638,MUC,346,,0,320 319 +TP,4869,LIS,1638,MXP,1524,,0,320 319 100 +TP,4869,LIS,1638,NAT,2597,,0,332 +TP,4869,LIS,1638,NCE,1354,Y,0,ER4 100 +TP,4869,LIS,1638,OPO,1636,,0,100 320 ER4 319 +TP,4869,LIS,1638,ORY,1386,,0,321 319 320 100 +TP,4869,LIS,1638,OSL,644,,0,320 +TP,4869,LIS,1638,OTP,1657,,0,319 +TP,4869,LIS,1638,PDL,1633,,0,320 319 +TP,4869,LIS,1638,PHL,3752,Y,0,752 +TP,4869,LIS,1638,PIX,1634,,0,320 +TP,4869,LIS,1638,POA,2599,,0,332 +TP,4869,LIS,1638,PRG,1587,,0,319 320 +TP,4869,LIS,1638,PXO,1637,,0,100 319 +TP,4869,LIS,1638,RAI,5674,,0,320 +TP,4869,LIS,1638,RAK,1075,,0,319 100 +TP,4869,LIS,1638,REC,2610,,0,332 +TP,4869,LIS,1638,SID,1102,,0,320 +TP,4869,LIS,1638,SMA,1617,Y,0,320 +TP,4869,LIS,1638,SSA,2621,,0,332 +TP,4869,LIS,1638,SVQ,1253,Y,0,BEH +TP,4869,LIS,1638,SXF,337,,0,319 320 +TP,4869,LIS,1638,TER,1629,,0,332 320 321 319 +TP,4869,LIS,1638,TLS,1273,Y,0,100 ER4 +TP,4869,LIS,1638,TMS,973,Y,0,313 +TP,4869,LIS,1638,TNG,1080,Y,0,BEH +TP,4869,LIS,1638,VCE,1551,,0,319 +TP,4869,LIS,1638,VCP,2578,,0,332 +TP,4869,LIS,1638,VIE,1613,,0,320 319 +TP,4869,LIS,1638,VLC,1246,Y,0,ER4 100 +TP,4869,LIS,1638,VXE,1106,,0,320 +TP,4869,LIS,1638,WAW,679,,0,320 319 +TP,4869,LIS,1638,YYZ,193,Y,0,313 +TP,4869,LIS,1638,ZRH,1678,,0,320 321 319 +TP,4869,LUX,629,LIS,1638,,0,319 320 100 +TP,4869,LUX,629,OPO,1636,Y,0,100 +TP,4869,LYS,1335,LIS,1638,Y,0,100 ER4 +TP,4869,MAD,1229,LIS,1638,,0,100 ER4 319 320 +TP,4869,MAD,1229,OPO,1636,Y,0,ER4 +TP,4869,MAN,478,LIS,1638,,0,319 320 +TP,4869,MIA,3576,LIS,1638,,0,332 343 +TP,4869,MPM,979,LIS,1638,,0,332 343 +TP,4869,MRS,1353,LIS,1638,Y,0,ER4 100 +TP,4869,MUC,346,FAO,1626,Y,0,321 +TP,4869,MUC,346,LIS,1638,,0,319 320 +TP,4869,MXP,1524,LIS,1638,,0,319 320 100 +TP,4869,MXP,1524,OPO,1636,Y,0,ER4 100 +TP,4869,NAT,2597,LIS,1638,,0,332 +TP,4869,NCE,1354,LIS,1638,Y,0,ER4 100 +TP,4869,OPO,1636,AMS,580,,0,100 ER4 +TP,4869,OPO,1636,BCN,1218,Y,0,ER4 +TP,4869,OPO,1636,BRU,302,Y,0,100 319 ER4 +TP,4869,OPO,1636,CCS,2851,,0,332 +TP,4869,OPO,1636,EWR,3494,,0,332 +TP,4869,OPO,1636,FCO,1555,,0,100 +TP,4869,OPO,1636,FNC,4091,,0,319 100 320 +TP,4869,OPO,1636,FRA,340,Y,0,321 +TP,4869,OPO,1636,GIG,2560,,0,332 +TP,4869,OPO,1636,GRU,2564,,0,332 +TP,4869,OPO,1636,GVA,1665,,0,320 319 +TP,4869,OPO,1636,LGW,502,,0,320 319 +TP,4869,OPO,1636,LIS,1638,,0,319 ER4 320 100 +TP,4869,OPO,1636,LUX,629,Y,0,100 +TP,4869,OPO,1636,MAD,1229,Y,0,ER4 +TP,4869,OPO,1636,MXP,1524,Y,0,ER4 100 +TP,4869,OPO,1636,ORY,1386,,0,320 319 +TP,4869,OPO,1636,PDL,1633,Y,0,320 +TP,4869,OPO,1636,TER,1629,Y,0,320 +TP,4869,OPO,1636,YYZ,193,Y,0,313 +TP,4869,OPO,1636,ZRH,1678,,0,320 319 +TP,4869,ORY,1386,LIS,1638,,0,319 321 320 100 +TP,4869,ORY,1386,OPO,1636,,0,320 319 +TP,4869,OSL,644,LIS,1638,,0,320 +TP,4869,OTP,1657,LIS,1638,,0,319 +TP,4869,PDL,1633,BOS,3448,Y,0,313 +TP,4869,PDL,1633,FNC,4091,Y,0,DH4 +TP,4869,PDL,1633,LIS,1638,,0,320 319 +TP,4869,PDL,1633,OPO,1636,Y,0,320 +TP,4869,PDL,1633,YYZ,193,Y,0,313 +TP,4869,PHL,3752,LIS,1638,Y,0,752 +TP,4869,PIX,1634,TER,1629,,0,320 +TP,4869,POA,2599,LIS,1638,,0,332 +TP,4869,PRG,1587,LIS,1638,,0,319 320 +TP,4869,PXO,1637,LIS,1638,,0,100 319 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320 +U2,2297,STN,548,EDI,535,,0,320 319 +U2,2297,STN,548,GLA,534,,0,319 320 +U2,2297,STN,548,IBZ,1225,,0,320 319 +U2,2297,STN,548,LJU,1569,,0,319 +U2,2297,STN,548,LYS,1335,,0,319 320 +U2,2297,STN,548,MUC,346,,0,319 +U2,2297,STN,548,NAP,1561,,0,319 320 +U2,2297,STN,548,NCE,1354,,0,319 320 +U2,2297,STN,548,OVD,1214,,0,319 +U2,2297,STN,548,PMI,3998,,0,319 +U2,2297,STN,548,PRG,1587,,0,319 +U2,2297,STN,548,RAK,1075,,0,319 +U2,2297,STN,548,SOF,1194,,0,319 320 +U2,2297,STN,548,SSH,4057,,0,320 +U2,2297,SUF,1508,MXP,1524,,0,319 320 +U2,2297,SVQ,1253,BSL,4053,,0,320 319 +U2,2297,SVQ,1253,GVA,1665,,0,319 +U2,2297,SVQ,1253,LGW,502,,0,319 +U2,2297,SXB,1435,LGW,502,,0,319 +U2,2297,SXF,337,AGA,1064,,0,320 +U2,2297,SXF,337,AGP,1230,,0,320 319 +U2,2297,SXF,337,AMS,580,,0,319 320 +U2,2297,SXF,337,ATH,3941,,0,319 +U2,2297,SXF,337,BCN,1218,,0,320 319 +U2,2297,SXF,337,BRS,490,,0,319 +U2,2297,SXF,337,BRU,302,,0,319 +U2,2297,SXF,337,BSL,4053,,0,319 320 +U2,2297,SXF,337,BUD,1489,,0,319 320 +U2,2297,SXF,337,CAG,1519,,0,320 +U2,2297,SXF,337,CPH,609,,0,320 319 +U2,2297,SXF,337,EDI,535,,0,319 +U2,2297,SXF,337,FCO,1555,,0,319 +U2,2297,SXF,337,GLA,534,,0,319 +U2,2297,SXF,337,GVA,1665,,0,320 319 +U2,2297,SXF,337,HER,1452,,0,319 +U2,2297,SXF,337,LGW,502,,0,319 320 +U2,2297,SXF,337,LIS,1638,,0,319 +U2,2297,SXF,337,LPL,491,,0,319 +U2,2297,SXF,337,LTN,492,,0,320 319 +U2,2297,SXF,337,LYS,1335,,0,319 +U2,2297,SXF,337,MAD,1229,,0,320 319 +U2,2297,SXF,337,MAN,478,,0,320 319 +U2,2297,SXF,337,MXP,1524,,0,320 319 +U2,2297,SXF,337,NAP,1561,,0,319 320 +U2,2297,SXF,337,NCE,1354,,0,319 +U2,2297,SXF,337,OLB,1520,,0,320 319 +U2,2297,SXF,337,ORY,1386,,0,320 +U2,2297,SXF,337,PMI,3998,,0,319 320 +U2,2297,SXF,337,PSA,1562,,0,319 320 +U2,2297,SXF,337,RAK,1075,,0,320 +U2,2297,SXF,337,SEN,508,,0,319 +U2,2297,SXF,337,SKG,1486,,0,319 320 +U2,2297,SXF,337,SOF,1194,,0,319 +U2,2297,SXF,337,SZG,1612,,0,319 +U2,2297,SXF,337,TFS,1056,,0,320 +U2,2297,SXF,337,TLV,1590,,0,320 +U2,2297,SXF,337,VCE,1551,,0,319 320 +U2,2297,SZG,1612,SXF,337,,0,319 +U2,2297,TFS,1056,BRS,490,,0,320 319 +U2,2297,TFS,1056,BSL,4053,,0,320 +U2,2297,TFS,1056,CDG,1382,,0,320 +U2,2297,TFS,1056,EDI,535,,0,320 +U2,2297,TFS,1056,GVA,1665,,0,320 +U2,2297,TFS,1056,LGW,502,,0,320 +U2,2297,TFS,1056,MAN,478,,0,320 +U2,2297,TFS,1056,SXF,337,,0,320 +U2,2297,TLL,415,LGW,502,,0,319 320 +U2,2297,TLS,1273,BIA,1321,,0,319 +U2,2297,TLS,1273,BRS,490,,0,320 319 +U2,2297,TLS,1273,BRU,302,,0,319 +U2,2297,TLS,1273,BSL,4053,,0,319 +U2,2297,TLS,1273,CDG,1382,,0,319 320 +U2,2297,TLS,1273,FCO,1555,,0,319 +U2,2297,TLS,1273,GVA,1665,,0,319 +U2,2297,TLS,1273,LGW,502,,0,319 320 +U2,2297,TLS,1273,LIL,1399,,0,319 +U2,2297,TLS,1273,LYS,1335,,0,319 +U2,2297,TLS,1273,NCE,1354,,0,319 +U2,2297,TLS,1273,NTE,1418,,0,319 +U2,2297,TLS,1273,ORY,1386,,0,320 319 +U2,2297,TLS,1273,RAK,1075,,0,319 320 +U2,2297,TLV,1590,BSL,4053,,0,320 +U2,2297,TLV,1590,FCO,1555,,0,319 +U2,2297,TLV,1590,GVA,1665,,0,320 +U2,2297,TLV,1590,LGW,502,,0,320 +U2,2297,TLV,1590,LTN,492,,0,320 +U2,2297,TLV,1590,MAN,478,,0,320 +U2,2297,TLV,1590,MXP,1524,,0,320 +U2,2297,TLV,1590,SXF,337,,0,320 +U2,2297,VCE,1551,BSL,4053,,0,319 320 +U2,2297,VCE,1551,CDG,1382,,0,320 319 +U2,2297,VCE,1551,GVA,1665,,0,319 +U2,2297,VCE,1551,HAM,342,,0,319 +U2,2297,VCE,1551,LGW,502,,0,319 320 +U2,2297,VCE,1551,LTN,492,,0,319 +U2,2297,VCE,1551,LYS,1335,,0,319 +U2,2297,VCE,1551,MAN,478,,0,319 +U2,2297,VCE,1551,NAP,1561,,0,319 320 +U2,2297,VCE,1551,NCE,1354,,0,319 320 +U2,2297,VCE,1551,ORY,1386,,0,320 +U2,2297,VCE,1551,SEN,508,,0,319 +U2,2297,VCE,1551,SXF,337,,0,319 320 +U2,2297,VIE,1613,LGW,502,,0,319 320 +U2,2297,VLC,1246,LGW,502,,0,320 319 +U2,2297,VRN,1550,LGW,502,,0,319 +U2,2297,ZAG,1208,LGW,502,,0,319 +U2,2297,ZRH,1678,LGW,502,,0,319 320 +U2,2297,ZRH,1678,LTN,492,,0,319 320 +U2,2297,ZTH,1488,LGW,502,,0,320 +U6,5234,AER,2965,DME,4029,,0,320 +U6,5234,AER,2965,LBD,6147,,0,320 +U6,5234,AER,2965,SVX,2975,,0,320 +U6,5234,ATH,3941,KRR,2960,,0,320 +U6,5234,BUD,1489,KRR,2960,,0,320 +U6,5234,BUD,1489,ROV,2964,,0,320 +U6,5234,CDG,1382,SVX,2975,,0,320 +U6,5234,CEK,2968,DME,4029,,0,320 +U6,5234,CEK,2968,DWC,8076,,0,321 +U6,5234,CEK,2968,DYU,2979,,0,320 +U6,5234,CEK,2968,LBD,6147,,0,320 +U6,5234,CEK,2968,NMA,6150,,0,320 +U6,5234,CEK,2968,OSS,2913,,0,320 +U6,5234,CEK,2968,PRG,1587,,0,320 +U6,5234,CEK,2968,TAS,2983,,0,320 +U6,5234,CGN,344,DME,4029,,0,320 +U6,5234,DME,4029,AER,2965,,0,320 +U6,5234,DME,4029,CEK,2968,,0,320 +U6,5234,DME,4029,CGN,344,,0,320 +U6,5234,DME,4029,FRU,2912,,0,320 +U6,5234,DME,4029,GBB,8775,,0,320 +U6,5234,DME,4029,GOJ,4274,,0,320 +U6,5234,DME,4029,HTA,2935,,0,320 +U6,5234,DME,4029,IKT,2937,,0,320 +U6,5234,DME,4029,KGD,2952,,0,320 +U6,5234,DME,4029,KRR,2960,,0,320 +U6,5234,DME,4029,KUF,4118,,0,320 +U6,5234,DME,4029,KVD,6089,,0,321 +U6,5234,DME,4029,KZN,2990,,0,320 +U6,5234,DME,4029,LED,2948,,0,320 +U6,5234,DME,4029,LLK,8774,,0,320 +U6,5234,DME,4029,LWN,3965,,0,320 +U6,5234,DME,4029,MRV,2962,,0,320 +U6,5234,DME,4029,NCU,6151,,0,320 +U6,5234,DME,4029,NJC,2972,,0,320 +U6,5234,DME,4029,NVI,6485,,0,320 +U6,5234,DME,4029,OSS,2913,,0,320 +U6,5234,DME,4029,OVB,4078,,0,320 +U6,5234,DME,4029,RMI,1546,,0,321 +U6,5234,DME,4029,ROV,2964,,0,320 +U6,5234,DME,4029,SIP,2942,,0,320 319 +U6,5234,DME,4029,SVX,2975,,0,320 +U6,5234,DME,4029,TIV,1743,,0,320 +U6,5234,DME,4029,TJU,7563,,0,320 +U6,5234,DME,4029,UFA,2992,,0,320 +U6,5234,DME,4029,UUD,2938,,0,319 +U6,5234,DWC,8076,CEK,2968,,0,321 +U6,5234,DWC,8076,GOJ,4274,,0,321 +U6,5234,DWC,8076,KUF,4118,,0,321 +U6,5234,DWC,8076,MRV,2962,,0,321 +U6,5234,DWC,8076,PEE,2973,,0,321 +U6,5234,DWC,8076,SVX,2975,,0,321 320 +U6,5234,DXB,2188,KRR,2960,,0,320 +U6,5234,DXB,2188,KUF,4118,,0,320 +U6,5234,DXB,2188,MRV,2962,,0,320 +U6,5234,DXB,2188,SVX,2975,,0,320 +U6,5234,DYU,2979,CEK,2968,,0,320 +U6,5234,DYU,2979,GOJ,4274,,0,320 +U6,5234,DYU,2979,KJA,4374,,0,320 +U6,5234,DYU,2979,KUF,4118,,0,320 +U6,5234,DYU,2979,KZN,2990,,0,320 +U6,5234,DYU,2979,LED,2948,,0,320 +U6,5234,DYU,2979,MRV,2962,,0,320 +U6,5234,DYU,2979,NBC,6969,,0,320 +U6,5234,DYU,2979,ROV,2964,,0,320 +U6,5234,DYU,2979,SVX,2975,,0,320 +U6,5234,DYU,2979,UFA,2992,,0,320 +U6,5234,DYU,2979,VOG,2967,,0,320 +U6,5234,EVN,3964,GOJ,4274,,0,320 +U6,5234,EVN,3964,KUF,4118,,0,320 +U6,5234,EVN,3964,LED,2948,,0,320 +U6,5234,EVN,3964,SVX,2975,,0,320 +U6,5234,FCO,1555,SVX,2975,,0,320 +U6,5234,FRU,2912,DME,4029,,0,320 +U6,5234,FRU,2912,SVX,2975,,0,320 +U6,5234,GBB,8775,DME,4029,,0,320 +U6,5234,GOJ,4274,DME,4029,,0,320 +U6,5234,GOJ,4274,DWC,8076,,0,321 +U6,5234,GOJ,4274,DYU,2979,,0,320 +U6,5234,GOJ,4274,EVN,3964,,0,320 +U6,5234,GOJ,4274,LBD,6147,,0,320 +U6,5234,GOJ,4274,NMA,6150,,0,320 +U6,5234,GOJ,4274,PRG,1587,,0,320 +U6,5234,GOJ,4274,TAS,2983,,0,320 +U6,5234,GYD,2922,SVX,2975,,0,320 +U6,5234,HRB,3400,OVB,4078,,0,320 +U6,5234,HRB,3400,SVX,2975,,0,320 +U6,5234,HTA,2935,DME,4029,,0,320 +U6,5234,IKT,2937,DME,4029,,0,320 +U6,5234,IKT,2937,HRB,3400,,0,320 +U6,5234,KGD,2952,DME,4029,,0,320 +U6,5234,KGD,2952,TAS,2983,,0,320 +U6,5234,KHV,2927,OVB,4078,,0,320 +U6,5234,KJA,4374,DYU,2979,,0,320 +U6,5234,KJA,4374,LBD,6147,,0,320 +U6,5234,KJA,4374,NMA,6150,,0,320 +U6,5234,KJA,4374,SKD,2981,,0,320 +U6,5234,KJA,4374,SVX,2975,,0,320 +U6,5234,KJA,4374,TAS,2983,,0,320 +U6,5234,KLV,1579,SVX,2975,,0,320 +U6,5234,KRR,2960,BUD,1489,,0,320 +U6,5234,KRR,2960,DME,4029,,0,320 +U6,5234,KRR,2960,DXB,2188,,0,320 +U6,5234,KRR,2960,LBD,6147,,0,320 +U6,5234,KRR,2960,MUC,346,,0,320 +U6,5234,KRR,2960,NMA,6150,,0,320 +U6,5234,KRR,2960,PFO,1198,,0,320 +U6,5234,KRR,2960,SKG,1486,,0,320 +U6,5234,KRR,2960,SVX,2975,,0,320 +U6,5234,KRR,2960,TAS,2983,,0,320 +U6,5234,KUF,4118,DME,4029,,0,320 +U6,5234,KUF,4118,DWC,8076,,0,321 +U6,5234,KUF,4118,DXB,2188,,0,320 +U6,5234,KUF,4118,DYU,2979,,0,320 +U6,5234,KUF,4118,EVN,3964,,0,320 +U6,5234,KUF,4118,LBD,6147,,0,320 +U6,5234,KUF,4118,OSS,2913,,0,320 +U6,5234,KUF,4118,TAS,2983,,0,320 +U6,5234,KVD,6089,DME,4029,,0,321 +U6,5234,KZN,2990,DME,4029,,0,320 +U6,5234,KZN,2990,DYU,2979,,0,320 +U6,5234,KZN,2990,LBD,6147,,0,320 +U6,5234,LBD,6147,AER,2965,,0,320 +U6,5234,LBD,6147,CEK,2968,,0,320 +U6,5234,LBD,6147,GOJ,4274,,0,320 +U6,5234,LBD,6147,KJA,4374,,0,320 +U6,5234,LBD,6147,KRR,2960,,0,320 +U6,5234,LBD,6147,KUF,4118,,0,320 +U6,5234,LBD,6147,KZN,2990,,0,320 +U6,5234,LBD,6147,SVX,2975,,0,320 +U6,5234,LBD,6147,UFA,2992,,0,320 +U6,5234,LCA,1197,SVX,2975,,0,320 +U6,5234,LED,2948,DME,4029,,0,320 +U6,5234,LED,2948,DYU,2979,,0,320 +U6,5234,LED,2948,EVN,3964,,0,320 +U6,5234,LED,2948,LLK,8774,,0,320 +U6,5234,LED,2948,ROV,2964,,0,320 +U6,5234,LED,2948,SVX,2975,,0,320 +U6,5234,LED,2948,TIV,1743,,0,320 +U6,5234,LED,2948,TJU,7563,,0,320 +U6,5234,LLK,8774,DME,4029,,0,320 +U6,5234,LLK,8774,LED,2948,,0,320 +U6,5234,LWN,3965,DME,4029,,0,320 +U6,5234,MRV,2962,DME,4029,,0,320 +U6,5234,MRV,2962,DWC,8076,,0,321 +U6,5234,MRV,2962,DXB,2188,,0,320 +U6,5234,MRV,2962,DYU,2979,,0,320 +U6,5234,MRV,2962,SVX,2975,,0,320 +U6,5234,MUC,346,KRR,2960,,0,320 +U6,5234,MUC,346,SVX,2975,,0,320 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+W6,5461,WAW,679,CRL,304,,0,320 +W6,5461,WAW,679,DSA,5562,,0,320 +W6,5461,WAW,679,EIN,585,,0,320 +W6,5461,WAW,679,FCO,1555,,0,320 +W6,5461,WAW,679,GLA,534,,0,320 +W6,5461,WAW,679,GSE,691,,0,320 +W6,5461,WAW,679,HRK,6105,,0,320 +W6,5461,WAW,679,KUT,3972,,0,320 +W6,5461,WAW,679,LPL,491,,0,320 +W6,5461,WAW,679,LTN,492,,0,320 +W6,5461,WAW,679,MMX,708,,0,320 +W6,5461,WAW,679,NYO,699,,0,320 +W6,5461,WAW,679,TLV,1590,,0,320 +W6,5461,WAW,679,TRF,664,,0,320 +W6,5461,WRO,680,BVA,1367,,0,320 +W6,5461,WRO,680,DSA,5562,,0,320 +W6,5461,WRO,680,LTN,492,,0,320 +W6,5461,WRO,680,TRF,664,,0,320 +W6,5461,ZAZ,1252,CLJ,1652,,0,320 +W6,5461,ZAZ,1252,OTP,1657,,0,320 +W9,970,AKY,3235,RGN,3239,,0,AT7 +W9,970,CNX,3931,RGN,3239,,0,AT7 +W9,970,HEH,3213,MDL,3222,,0,AT7 +W9,970,HEH,3213,RGN,3239,,0,AT7 +W9,970,HEH,3213,THL,3237,,0,AT7 +W9,970,KET,3215,RGN,3239,,0,AT7 +W9,970,KYP,3217,RGN,3239,,0,AT7 +W9,970,MDL,3222,HEH,3213,,0,AT7 +W9,970,MDL,3222,MYT,3224,,0,AT7 +W9,970,MDL,3222,NYU,4001,,0,AT7 +W9,970,MDL,3222,RGN,3239,,0,AT7 +W9,970,MYT,3224,MDL,3222,,0,AT7 +W9,970,MYT,3224,PBU,3232,,0,AT7 +W9,970,MYT,3224,RGN,3239,,0,AT7 +W9,970,NYU,4001,HEH,3213,,0,AT7 +W9,970,NYU,4001,MDL,3222,,0,AT7 +W9,970,NYU,4001,RGN,3239,,0,AT7 +W9,970,PBU,3232,MYT,3224,,0,AT7 +W9,970,RGN,3239,AKY,3235,,0,AT7 +W9,970,RGN,3239,CNX,3931,,0,AT7 +W9,970,RGN,3239,HEH,3213,,0,AT7 +W9,970,RGN,3239,KYP,3217,,0,AT7 +W9,970,RGN,3239,MDL,3222,,0,AT7 +W9,970,RGN,3239,MYT,3224,,0,AT7 +W9,970,RGN,3239,NYU,4001,,0,AT7 +W9,970,RGN,3239,THL,3237,,0,AT7 +W9,970,THL,3237,HEH,3213,,0,AT7 +W9,970,THL,3237,KET,3215,,0,AT7 +W9,970,THL,3237,RGN,3239,,0,AT7 +WB,4292,ACC,248,LOS,273,,0,738 +WB,4292,BJM,1120,KGL,1165,,0,DH4 +WB,4292,BRU,302,KGL,1165,,0,332 +WB,4292,BZV,883,DLA,897,,0,73W +WB,4292,BZV,883,KGL,1165,,0,73W +WB,4292,DAR,1177,JRO,1180,,0,CRJ +WB,4292,DAR,1177,KGL,1165,,0,CRJ +WB,4292,DLA,897,BZV,883,,0,73W +WB,4292,DLA,897,LBV,970,,0,738 73W +WB,4292,DXB,2188,KGL,1165,,0,738 +WB,4292,DXB,2188,MBA,1145,,0,738 +WB,4292,EBB,1187,KGL,1165,,0,CRJ 738 DH4 +WB,4292,IST,1701,KGL,1165,,0,739 +WB,4292,JNB,813,KGL,1165,,0,73W +WB,4292,JRO,1180,DAR,1177,,0,CRJ +WB,4292,JRO,1180,KGL,1165,,0,CRJ +WB,4292,JUB,1173,KGL,1165,,0,CRJ +WB,4292,KGL,1165,BJM,1120,,0,DH4 +WB,4292,KGL,1165,BRU,302,Y,0,332 +WB,4292,KGL,1165,BZV,883,,0,73W +WB,4292,KGL,1165,DAR,1177,,0,CRJ +WB,4292,KGL,1165,DXB,2188,,0,738 +WB,4292,KGL,1165,EBB,1187,,0,CRJ 738 DH4 +WB,4292,KGL,1165,IST,1701,,0,739 +WB,4292,KGL,1165,JNB,813,,0,73W +WB,4292,KGL,1165,JRO,1180,,0,CRJ +WB,4292,KGL,1165,JUB,1173,,0,CRJ +WB,4292,KGL,1165,KME,1166,,0,DH4 +WB,4292,KGL,1165,LBV,970,,0,73W 738 +WB,4292,KGL,1165,LOS,273,,0,73W 738 +WB,4292,KGL,1165,MBA,1145,,0,738 +WB,4292,KGL,1165,NBO,4059,,0,CRJ +WB,4292,KME,1166,KGL,1165,,0,DH4 +WB,4292,LBV,970,DLA,897,,0,73W 738 +WB,4292,LBV,970,KGL,1165,,0,738 73W +WB,4292,LOS,273,ACC,248,,0,73W +WB,4292,LOS,273,KGL,1165,,0,738 73W +WB,4292,MBA,1145,DXB,2188,,0,738 +WB,4292,MBA,1145,KGL,1165,,0,738 +WB,4292,NBO,4059,KGL,1165,,0,CRJ +WF,5439,ABZ,532,BGO,636,,0,DH4 DH3 +WF,5439,ABZ,532,SVG,666,,0,DH4 +WF,5439,AES,630,BGO,636,,0,DH3 DH4 +WF,5439,ALF,632,HFT,4325,,0,DH2 +WF,5439,ALF,632,KKN,649,,0,DH1 +WF,5439,ALF,632,LKL,653,,0,DH3 DH1 +WF,5439,ALF,632,SOJ,5588,,0,DH1 DH2 +WF,5439,ALF,632,TOS,663,,0,DH1 DH3 DH2 +WF,5439,ALF,632,VDS,4328,,0,DH2 DH1 +WF,5439,ANX,631,BOO,635,,0,DH1 DH3 DH2 +WF,5439,ANX,631,EVE,641,,0,DH3 DH1 +WF,5439,ANX,631,TOS,663,,0,DH1 DH3 DH2 +WF,5439,BGO,636,ABZ,532,,0,DH4 DH3 +WF,5439,BGO,636,AES,630,,0,DH3 DH4 +WF,5439,BGO,636,BNN,634,,0,DH3 DH1 +WF,5439,BGO,636,BOO,635,,0,DH4 +WF,5439,BGO,636,FDE,4389,,0,DH1 +WF,5439,BGO,636,FRO,643,,0,DH3 DH1 +WF,5439,BGO,636,HAU,645,,0,DH4 DH3 +WF,5439,BGO,636,HOV,4345,,0,DH1 +WF,5439,BGO,636,KRS,638,,0,DH4 DH3 +WF,5439,BGO,636,KSU,647,,0,DH4 DH3 +WF,5439,BGO,636,MOL,651,,0,DH3 DH4 +WF,5439,BGO,636,SKE,659,,0,DH3 DH1 +WF,5439,BGO,636,SOG,5586,,0,DH1 +WF,5439,BGO,636,SVG,666,,0,DH4 +WF,5439,BGO,636,TOS,663,,0,DH4 +WF,5439,BGO,636,TRF,664,,0,DH4 DH3 +WF,5439,BJF,637,BVG,4350,,0,DH1 DH2 +WF,5439,BJF,637,HFT,4325,,0,DH2 +WF,5439,BJF,637,MEH,4327,,0,DH2 +WF,5439,BJF,637,VAW,5589,,0,DH2 DH1 +WF,5439,BJF,637,VDS,4328,,0,DH2 +WF,5439,BNN,634,BGO,636,,0,DH1 +WF,5439,BNN,634,MQN,5582,,0,DH1 +WF,5439,BNN,634,OSL,644,,0,DH3 DH1 +WF,5439,BNN,634,SSJ,662,,0,DH1 +WF,5439,BNN,634,TRD,665,,0,DH1 DH2 +WF,5439,BOO,635,ANX,631,,0,DH1 DH3 +WF,5439,BOO,635,BGO,636,,0,DH4 +WF,5439,BOO,635,BNN,634,,0,DH1 +WF,5439,BOO,635,EVE,641,,0,DH3 DH1 +WF,5439,BOO,635,LKN,5580,,0,DH1 DH2 +WF,5439,BOO,635,MJF,652,,0,DH1 +WF,5439,BOO,635,MQN,5582,,0,DH1 DH2 +WF,5439,BOO,635,NVK,4349,,0,DH1 DH2 +WF,5439,BOO,635,RET,5584,,0,DH1 +WF,5439,BOO,635,SKN,4252,,0,DH1 DH2 +WF,5439,BOO,635,SSJ,662,,0,DH1 DH2 +WF,5439,BOO,635,SVJ,5587,,0,DH1 +WF,5439,BOO,635,TOS,663,,0,DH4 +WF,5439,BOO,635,TRD,665,,0,DH3 +WF,5439,BVG,4350,BJF,637,,0,DH2 DH1 +WF,5439,BVG,4350,HFT,4325,,0,DH1 +WF,5439,BVG,4350,MEH,4327,,0,DH2 +WF,5439,BVG,4350,VDS,4328,,0,DH1 +WF,5439,CPH,609,HAU,645,,0,DH4 +WF,5439,CPH,609,KRS,638,,0,DH4 +WF,5439,CPH,609,MOL,651,,0,DH4 +WF,5439,CPH,609,TRF,664,,0,DH4 +WF,5439,EVE,641,ANX,631,,0,DH3 DH1 +WF,5439,EVE,641,BOO,635,,0,DH3 DH1 +WF,5439,EVE,641,TOS,663,,0,DH3 DH1 DH2 +WF,5439,EVE,641,TRD,665,,0,DH3 +WF,5439,FDE,4389,BGO,636,,0,DH1 +WF,5439,FDE,4389,OSL,644,,0,DH1 +WF,5439,FRO,643,BGO,636,,0,DH3 DH1 +WF,5439,FRO,643,FDE,4389,,0,DH1 +WF,5439,FRO,643,HOV,4345,,0,DH1 +WF,5439,FRO,643,KSU,647,,0,DH3 +WF,5439,FRO,643,OSL,644,,0,DH1 DH3 +WF,5439,GOT,687,OSL,644,,0,DH3 +WF,5439,HAA,646,HFT,4325,,0,DH2 +WF,5439,HAA,646,TOS,663,,0,DH2 DH1 +WF,5439,HAU,645,BGO,636,,0,DH4 DH3 +WF,5439,HAU,645,CPH,609,,0,DH4 +WF,5439,HFT,4325,ALF,632,,0,DH1 DH2 +WF,5439,HFT,4325,BVG,4350,,0,DH2 DH1 +WF,5439,HFT,4325,HAA,646,,0,DH2 DH1 +WF,5439,HFT,4325,HVG,4326,,0,DH1 DH2 +WF,5439,HFT,4325,MEH,4327,,0,DH1 +WF,5439,HFT,4325,SOJ,5588,,0,DH2 +WF,5439,HFT,4325,TOS,663,,0,DH2 DH1 +WF,5439,HOV,4345,BGO,636,,0,DH1 +WF,5439,HOV,4345,FRO,643,,0,DH1 +WF,5439,HOV,4345,OSL,644,,0,DH1 +WF,5439,HOV,4345,SOG,5586,,0,DH1 +WF,5439,HVG,4326,BVG,4350,,0,DH2 +WF,5439,HVG,4326,HFT,4325,,0,DH2 DH1 +WF,5439,HVG,4326,MEH,4327,,0,DH2 DH1 +WF,5439,KKN,649,ALF,632,,0,DH2 +WF,5439,KKN,649,LKL,653,,0,DH2 +WF,5439,KKN,649,TOS,663,,0,DH4 DH2 DH3 DH1 +WF,5439,KKN,649,VAW,5589,,0,DH2 +WF,5439,KKN,649,VDS,4328,,0,DH1 DH2 +WF,5439,KRS,638,BGO,636,,0,DH4 DH3 +WF,5439,KRS,638,CPH,609,,0,DH4 +WF,5439,KRS,638,SVG,666,,0,DH3 +WF,5439,KRS,638,TRD,665,,0,DH4 DH3 +WF,5439,KSU,647,BGO,636,,0,DH3 DH4 +WF,5439,KSU,647,MOL,651,,0,DH3 +WF,5439,KSU,647,SVG,666,,0,DH3 +WF,5439,KSU,647,TRD,665,,0,DH1 DH2 +WF,5439,LKL,653,TOS,663,,0,DH2 DH3 DH1 +WF,5439,LKN,5580,BOO,635,,0,DH1 DH2 +WF,5439,LKN,5580,RET,5584,,0,DH1 DH2 +WF,5439,LKN,5580,SVJ,5587,,0,DH1 +WF,5439,MEH,4327,ALF,632,,0,DH2 +WF,5439,MEH,4327,BVG,4350,,0,DH1 +WF,5439,MEH,4327,HFT,4325,,0,DH2 +WF,5439,MEH,4327,HVG,4326,,0,DH2 DH1 +WF,5439,MEH,4327,VDS,4328,,0,DH2 DH1 +WF,5439,MJF,652,BOO,635,,0,DH2 DH1 +WF,5439,MJF,652,MQN,5582,,0,DH1 DH2 +WF,5439,MJF,652,OSY,5581,,0,DH1 +WF,5439,MJF,652,SSJ,662,,0,DH1 +WF,5439,MJF,652,TRD,665,,0,DH1 +WF,5439,MOL,651,BGO,636,,0,DH3 DH4 +WF,5439,MOL,651,CPH,609,,0,DH4 +WF,5439,MOL,651,KSU,647,,0,DH3 +WF,5439,MQN,5582,BOO,635,,0,DH1 DH2 +WF,5439,MQN,5582,MJF,652,,0,DH1 +WF,5439,MQN,5582,RVK,5583,,0,DH1 +WF,5439,MQN,5582,TRD,665,,0,DH1 DH2 +WF,5439,NCL,521,SVG,666,,0,DH4 +WF,5439,NVK,4349,BOO,635,,0,DH1 DH2 +WF,5439,OSL,644,BNN,634,,0,DH1 DH3 +WF,5439,OSL,644,FDE,4389,,0,DH1 +WF,5439,OSL,644,FRO,643,,0,DH1 DH3 +WF,5439,OSL,644,GOT,687,,0,DH3 +WF,5439,OSL,644,HOV,4345,,0,DH1 +WF,5439,OSL,644,RRS,656,,0,DH1 +WF,5439,OSL,644,SDN,5585,,0,DH1 +WF,5439,OSL,644,SOG,5586,,0,DH1 +WF,5439,OSL,644,SSJ,662,,0,DH1 +WF,5439,OSY,5581,MJF,652,,0,DH2 DH1 +WF,5439,OSY,5581,RVK,5583,,0,DH1 DH2 +WF,5439,OSY,5581,TRD,665,,0,DH1 +WF,5439,RET,5584,BOO,635,,0,DH1 DH2 +WF,5439,RET,5584,LKN,5580,,0,DH1 +WF,5439,RRS,656,OSL,644,,0,DH1 +WF,5439,RVK,5583,MQN,5582,,0,DH1 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+Y7,13088,THX,\N,KJA,4374,,0,AT5 +Y7,13088,TOF,4297,KJA,4374,,0,AT5 +Y7,13088,TOF,4297,SGC,2974,,0,AT5 +Y7,13088,UFA,2992,GYD,2922,,0,738 +Y7,13088,UFA,2992,NSK,4352,,0,738 +Y7,13088,UUD,2938,HTA,2935,,0,AT5 +Y7,13088,UUD,2938,KJA,4374,,0,AT5 +Y7,13088,VVO,2934,KHV,2927,,0,738 733 +Y8,16725,BRA,7373,BSB,2531,,0,EM2 +Y8,16725,BRA,7373,SSA,2621,,0,EM2 +Y8,16725,BSB,2531,BRA,7373,,0,EM2 +Y8,16725,BSB,2531,RAO,2613,,0,EM2 +Y8,16725,BSB,2531,SJP,2619,,0,EM2 +Y8,16725,CGB,2548,GYN,2562,,0,ER4 +Y8,16725,CGB,2548,JPR,6073,,0,ER4 +Y8,16725,CWB,2545,RAO,2613,,0,EM2 +Y8,16725,GRU,2564,RAO,2613,,0,EM2 ER4 +Y8,16725,GRU,2564,UDI,2633,,0,EM2 +Y8,16725,GYN,2562,CGB,2548,,0,ER4 +Y8,16725,GYN,2562,RAO,2613,,0,ER4 +Y8,16725,GYN,2562,UDI,2633,,0,EM2 +Y8,16725,JPR,6073,CGB,2548,,0,ER4 +Y8,16725,PLU,2528,RAO,2613,,0,EM2 +Y8,16725,RAO,2613,BSB,2531,,0,EM2 +Y8,16725,RAO,2613,CWB,2545,,0,EM2 +Y8,16725,RAO,2613,GRU,2564,,0,EM2 ER4 +Y8,16725,RAO,2613,GYN,2562,,0,ER4 +Y8,16725,RAO,2613,PLU,2528,,0,EM2 +Y8,16725,RAO,2613,SDU,2612,,0,EM2 +Y8,16725,RAO,2613,SJP,2619,,0,EM2 +Y8,16725,SDU,2612,RAO,2613,,0,EM2 +Y8,16725,SJP,2619,BSB,2531,,0,EM2 +Y8,16725,SJP,2619,RAO,2613,,0,EM2 +Y8,16725,SSA,2621,BRA,7373,,0,EM2 +Y8,16725,SSA,2621,VDC,6039,,0,EM2 +Y8,16725,UDI,2633,GRU,2564,,0,EM2 +Y8,16725,UDI,2633,GYN,2562,,0,EM2 +Y8,16725,VDC,6039,SSA,2621,,0,EM2 +Y9,3148,AUH,2179,KIH,2109,,0,F50 +Y9,3148,AWZ,2104,THR,2131,,0,TU3 M80 +Y9,3148,BND,2134,KIH,2109,,0,M80 F50 +Y9,3148,DXB,2188,GSM,5712,,0,F50 M80 +Y9,3148,DXB,2188,KIH,2109,,0,M80 F50 +Y9,3148,GSM,5712,DXB,2188,,0,F50 +Y9,3148,IFN,4150,KIH,2109,,0,M80 +Y9,3148,IFN,4150,MRX,2103,,0,TU3 M80 +Y9,3148,KIH,2109,AUH,2179,,0,F50 +Y9,3148,KIH,2109,BND,2134,,0,M80 F50 +Y9,3148,KIH,2109,DXB,2188,,0,M80 F50 +Y9,3148,KIH,2109,IFN,4150,,0,M80 +Y9,3148,KIH,2109,THR,2131,,0,M80 TU3 +Y9,3148,MHD,4331,KIH,2109,,0,M80 +Y9,3148,MHD,4331,THR,2131,,0,M80 +Y9,3148,MRX,2103,IFN,4150,,0,TU3 +Y9,3148,MRX,2103,THR,2131,,0,M80 TU3 +Y9,3148,TBZ,2162,THR,2131,,0,TU3 +Y9,3148,THR,2131,AWZ,2104,,0,TU3 +Y9,3148,THR,2131,KIH,2109,,0,M80 +Y9,3148,THR,2131,MHD,4331,,0,M80 +Y9,3148,THR,2131,MRX,2103,,0,M80 TU3 +Y9,3148,THR,2131,TBZ,2162,,0,TU3 +YC,9828,BAX,2956,DME,4029,,0,735 +YC,9828,DME,4029,BAX,2956,,0,735 +YC,9828,DME,4029,NOJ,4365,,0,735 +YC,9828,DME,4029,NUX,4364,,0,320 +YC,9828,DME,4029,NYM,6143,,0,735 +YC,9828,DME,4029,SLY,6137,,0,735 320 +YC,9828,DME,4029,TIV,1743,,0,320 321 +YC,9828,DME,4029,TJM,4111,,0,CR2 735 +YC,9828,DME,4029,UFA,2992,,0,CR2 +YC,9828,EVN,3964,TJM,4111,,0,320 +YC,9828,KGP,4373,SVX,2975,,0,CR2 +YC,9828,KJA,4374,SVX,2975,,0,CR2 +YC,9828,LED,2948,TJM,4111,,0,CR2 +YC,9828,NJC,2972,OVB,4078,,0,CR2 +YC,9828,NOJ,4365,DME,4029,,0,735 +YC,9828,NOJ,4365,SLY,6137,,0,CR2 +YC,9828,NOJ,4365,SVX,2975,,0,CR2 +YC,9828,NOJ,4365,TJM,4111,,0,CR2 +YC,9828,NOJ,4365,UFA,2992,,0,CR2 +YC,9828,NUX,4364,DME,4029,,0,320 +YC,9828,NUX,4364,SLY,6137,,0,CR2 +YC,9828,NUX,4364,TJM,4111,,0,735 CR2 +YC,9828,NUX,4364,UFA,2992,,0,CR2 +YC,9828,NYA,6139,SVX,2975,,0,CR2 +YC,9828,NYA,6139,TJM,4111,,0,CR2 +YC,9828,NYM,6143,DME,4029,,0,735 +YC,9828,NYM,6143,SLY,6137,,0,L4T +YC,9828,NYM,6143,SVX,2975,,0,CR2 +YC,9828,NYM,6143,TJM,4111,,0,735 CR2 +YC,9828,NYM,6143,UFA,2992,,0,CR2 +YC,9828,OVB,4078,NJC,2972,,0,CR2 +YC,9828,OVB,4078,SVX,2975,,0,CR2 +YC,9828,OVB,4078,TJM,4111,,0,CR2 +YC,9828,SLY,6137,DME,4029,,0,320 735 +YC,9828,SLY,6137,NOJ,4365,,0,CR2 +YC,9828,SLY,6137,NUX,4364,,0,CR2 +YC,9828,SLY,6137,NYM,6143,,0,L4T +YC,9828,SLY,6137,SVX,2975,,0,CR2 +YC,9828,SLY,6137,TJM,4111,,0,735 320 CR2 +YC,9828,SLY,6137,TQL,\N,,0,L4T +YC,9828,SVX,2975,KGP,4373,,0,CR2 +YC,9828,SVX,2975,KJA,4374,,0,CR2 +YC,9828,SVX,2975,NOJ,4365,,0,CR2 +YC,9828,SVX,2975,NYA,6139,,0,CR2 +YC,9828,SVX,2975,NYM,6143,,0,CR2 +YC,9828,SVX,2975,OVB,4078,,0,CR2 +YC,9828,SVX,2975,SLY,6137,,0,CR2 +YC,9828,TIV,1743,DME,4029,,0,320 321 +YC,9828,TJM,4111,DME,4029,,0,735 CR2 +YC,9828,TJM,4111,EVN,3964,,0,320 +YC,9828,TJM,4111,LED,2948,,0,CR2 +YC,9828,TJM,4111,NOJ,4365,,0,CR2 +YC,9828,TJM,4111,NUX,4364,,0,735 CR2 +YC,9828,TJM,4111,NYA,6139,,0,CR2 +YC,9828,TJM,4111,NYM,6143,,0,735 CR2 +YC,9828,TJM,4111,OVB,4078,,0,CR2 +YC,9828,TJM,4111,SLY,6137,,0,320 CR2 735 +YC,9828,TQL,\N,SLY,6137,,0,L4T +YC,9828,UFA,2992,DME,4029,,0,CR2 +YC,9828,UFA,2992,NOJ,4365,,0,CR2 +YC,9828,UFA,2992,NUX,4364,,0,CR2 +YC,9828,UFA,2992,NYM,6143,,0,CR2 +YI,16475,DOM,2877,EIS,2903,,0,CNT +YI,16475,DOM,2877,SJU,2890,,0,CNT +YI,16475,DOM,2877,STT,2883,,0,CNT +YI,16475,DOM,2877,SXM,2899,,0,CNT +YI,16475,EIS,2903,DOM,2877,,0,CNT +YI,16475,EIS,2903,NEV,6079,,0,CNT +YI,16475,EIS,2903,STT,2883,,0,CNT +YI,16475,EIS,2903,SXM,2899,,0,CNT +YI,16475,NEV,6079,SJU,2890,,0,CNT +YI,16475,NEV,6079,STT,2883,,0,CNT +YI,16475,SJU,2890,DOM,2877,,0,CNT +YI,16475,SJU,2890,NEV,6079,,0,CNT +YI,16475,SJU,2890,STT,2883,,0,CNT +YI,16475,SJU,2890,SXM,2899,,0,CNT +YI,16475,SJU,2890,VQS,6788,,0,CNT +YI,16475,STT,2883,DOM,2877,,0,CNT +YI,16475,STT,2883,EIS,2903,,0,CNT +YI,16475,STT,2883,NEV,6079,,0,CNT +YI,16475,STT,2883,SJU,2890,,0,CNT +YI,16475,STT,2883,SXM,2899,,0,CNT +YI,16475,STT,2883,VIJ,6080,,0,CNT +YI,16475,SXM,2899,DOM,2877,,0,CNT +YI,16475,SXM,2899,EIS,2903,,0,CNT +YI,16475,SXM,2899,SJU,2890,,0,CNT +YI,16475,SXM,2899,STT,2883,,0,CNT +YI,16475,VIJ,6080,STT,2883,,0,CNT +YI,16475,VQS,6788,SJU,2890,,0,CNT +YJ,\N,HEH,3213,MDL,3222,,0,AT7 +YJ,\N,HEH,3213,RGN,3239,,0,AT7 +YJ,\N,MDL,3222,HEH,3213,,0,AT7 +YJ,\N,MDL,3222,MYT,3224,,0,AT7 +YJ,\N,MDL,3222,NYU,4001,,0,AT7 +YJ,\N,MDL,3222,RGN,3239,,0,AT7 +YJ,\N,MDL,3222,THL,3237,,0,AT7 +YJ,\N,MYT,3224,MDL,3222,,0,AT7 +YJ,\N,NYU,4001,MDL,3222,,0,AT7 +YJ,\N,NYU,4001,RGN,3239,,0,AT7 +YJ,\N,RGN,3239,HEH,3213,,0,AT7 +YJ,\N,RGN,3239,MDL,3222,,0,AT7 +YJ,\N,RGN,3239,NYU,4001,,0,AT7 +YJ,\N,THL,3237,HEH,3213,,0,AT7 +YK,1943,ALA,2908,FRU,2912,,0,146 +YK,1943,DME,4029,FRU,2912,,0,737 +YK,1943,DME,4029,OSS,2913,,0,737 +YK,1943,DYU,2979,FRU,2912,,0,146 +YK,1943,FRU,2912,ALA,2908,,0,146 +YK,1943,FRU,2912,DME,4029,,0,737 +YK,1943,FRU,2912,DYU,2979,,0,146 +YK,1943,FRU,2912,KJA,4374,,0,146 +YK,1943,FRU,2912,KZN,2990,,0,146 +YK,1943,FRU,2912,LED,2948,,0,737 +YK,1943,FRU,2912,OSS,2913,,0,146 +YK,1943,FRU,2912,OVB,4078,,0,146 +YK,1943,FRU,2912,SGC,2974,,0,737 +YK,1943,FRU,2912,SVX,2975,,0,146 +YK,1943,KJA,4374,FRU,2912,,0,146 +YK,1943,KZN,2990,FRU,2912,,0,146 +YK,1943,KZN,2990,OSS,2913,,0,146 +YK,1943,LED,2948,FRU,2912,,0,737 +YK,1943,LED,2948,OSS,2913,,0,737 +YK,1943,OSS,2913,DME,4029,,0,737 +YK,1943,OSS,2913,FRU,2912,,0,146 +YK,1943,OSS,2913,IKT,2937,,0,737 +YK,1943,OSS,2913,KJA,4374,,0,146 +YK,1943,OSS,2913,KZN,2990,,0,146 +YK,1943,OSS,2913,LED,2948,,0,737 +YK,1943,OSS,2913,OVB,4078,,0,146 +YK,1943,OSS,2913,SGC,2974,,0,737 +YK,1943,OSS,2913,SVX,2975,,0,146 +YK,1943,OVB,4078,FRU,2912,,0,146 +YK,1943,OVB,4078,OSS,2913,,0,146 +YK,1943,SGC,2974,FRU,2912,,0,737 +YK,1943,SGC,2974,OSS,2913,,0,737 +YK,1943,SVX,2975,FRU,2912,,0,146 +YK,1943,SVX,2975,OSS,2913,,0,146 +YM,3539,BEG,1739,TGD,1741,,0,100 +YM,3539,BEG,1739,TIV,1743,,0,100 +YM,3539,CDG,1382,TGD,1741,,0,100 +YM,3539,CDG,1382,TIV,1743,,0,100 +YM,3539,DME,4029,TGD,1741,,0,E95 +YM,3539,DME,4029,TIV,1743,,0,E95 +YM,3539,DUS,345,TGD,1741,,0,100 +YM,3539,FCO,1555,TGD,1741,,0,E75 100 +YM,3539,FRA,340,TGD,1741,,0,100 +YM,3539,LGW,502,TIV,1743,,0,100 +YM,3539,LJU,1569,TGD,1741,,0,100 +YM,3539,TGD,1741,BEG,1739,,0,100 +YM,3539,TGD,1741,CDG,1382,,0,100 +YM,3539,TGD,1741,DME,4029,,0,E95 +YM,3539,TGD,1741,DUS,345,,0,100 +YM,3539,TGD,1741,FCO,1555,,0,E75 100 +YM,3539,TGD,1741,FRA,340,,0,100 +YM,3539,TGD,1741,LJU,1569,,0,100 +YM,3539,TGD,1741,VIE,1613,,0,100 +YM,3539,TGD,1741,ZRH,1678,,0,100 +YM,3539,TIV,1743,BEG,1739,,0,100 +YM,3539,TIV,1743,CDG,1382,,0,100 +YM,3539,TIV,1743,DME,4029,,0,E95 +YM,3539,TIV,1743,LGW,502,,0,100 +YM,3539,VIE,1613,TGD,1741,,0,100 +YM,3539,ZRH,1678,TGD,1741,,0,100 +YN,\N,YAT,5482,YPO,5522,,0,DH1 +YN,\N,YAT,5482,ZKE,5543,,0,DH1 +YN,\N,YFA,5490,YMO,91,,0,DH1 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-0,0 +1,172 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Dia 2, Libreta 1\n", + "Recapitulando, contamos con una conexion al dispositivo Android a traves de la SL4A. En caso de no tener su sitema configurado, favor de revisar el contenido del Dia 1.\n", + "\n", + "En esta primera libreta haremos algunas pruebas con el dispositivo desde Android, para despues comenzar a interactuar con los sensores disponibles." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import android" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "List of devices attached\n", + "09c3400a\tdevice\n", + "\n" + ] + } + ], + "source": [ + "!adb devices" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "!adb forward tcp:9999 tcp:55030" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "droide=android.Android()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "nombre = droide.dialogGetInput(\"Hola!\", \"Como te llamas?\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Result(id=0, result=u'hormiga', error=None)\n" + ] + } + ], + "source": [ + "print nombre" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=2, result=None, error=None)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.makeToast(\"Hola, %s\" % nombre.result)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=4, result=None, error=None)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.ttsSpeak(\"Hola, %s\" % nombre.result)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia2/notebooks/D2L2_Interactuando_con_dispositivo.ipynb b/Dia2/notebooks/D2L2_Interactuando_con_dispositivo.ipynb new file mode 100644 index 0000000..bd82aca --- /dev/null +++ b/Dia2/notebooks/D2L2_Interactuando_con_dispositivo.ipynb @@ -0,0 +1,212 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Dia 2, Libreta 2 Interactuando con el dispositivo\n", + "\n", + "A continuacion haremos algunas pruebas elementales de itneraccion con el dispositivo.\n", + "\n", + "## Copiar y pegar. Prueba del clipboard\n", + "Los dispositivos moviles contienen un \"clipboard\", el cual, igual que el de una computadora moderna, guarda la informacion y permite operaciones de copiado/pegado.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import android\n", + "droide=android.Android()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Result(id=0, result=None, error=None)\n" + ] + } + ], + "source": [ + "print droide.getClipboard()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=1, result=None, error=None)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.ttsSpeak(\"Hola droide, \\\n", + "esta en una prueba de tu clipboard\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Antes de cerrar el dialogo que aparece al ejecutar la siguiente instruccion, copien el texto que escriben en el cuadro de texto:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "clip = droide.dialogGetInput(\"Escribe algo\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "La siguiente instruccion debe de mostrarles el texto que copiaron" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "algo\n" + ] + } + ], + "source": [ + "print droide.getClipboard().result" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Las siguientes instrucciones colocan un nuevo contenido en el clipboard y abre un dialogo en el dispositivo pidiendo que lo copien. Interactuen con el dispositivo y copien el contenido del clipboard en la caja de texto que aparecera." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "previo=droide.getClipboard().result;\n", + "mensaje='Hola clase, pongan atencion';\n", + "\n", + "droide.setClipboard(mensaje)\n", + "pegar = droide.dialogGetInput(\"Pega el contenido del clipboard aqui\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hola clase, pongan atencion\n" + ] + } + ], + "source": [ + "# mostremos el resultado de pegar el contenido del clipboard\n", + "print pegar.result" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "eco = droide.getClipboard().result" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hola clase, pongan atencion\n", + "algo\n", + "Hola clase, pongan atencion\n" + ] + } + ], + "source": [ + "print eco\n", + "print clip.result\n", + "print pegar.result" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia2/notebooks/D2L3_EstadodelTiempo.ipynb b/Dia2/notebooks/D2L3_EstadodelTiempo.ipynb new file mode 100644 index 0000000..b233251 --- /dev/null +++ b/Dia2/notebooks/D2L3_EstadodelTiempo.ipynb @@ -0,0 +1,192 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Dia 2, Libreta 3 Estado del tiempo\n", + "A continuacion vamos a hacer un ejercicio de programacion con Python en la libreta y despues en el dispositivo. \n", + "\n", + "El objetivo de este ejercicio es solicitar la temperatura a un servicio en linea, [weatherunderground](http://www.wunderground.com) utilizando la API del servicio.\n", + "\n", + "## Buscando informacion en weather underground\n", + "\n", + "Abran el interprete de Python en su dispositivo y escriban lo siguiente:\n", + "\n", + "[vea](http://www.wunderground.com/weather/api/d/docs?d=data/index&MR=1)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "La temperatura actual en Mexico es: 67.1 F\n" + ] + } + ], + "source": [ + "import urllib2\n", + "import json\n", + "\n", + "f = urllib2.urlopen('http://api.wunderground.com/api/0def10027afaebb7/geolookup/conditions/forecast/q/Mexico/Mexico.json')\n", + "json_string = f.read()\n", + "parsed_json = json.loads(json_string)\n", + "location = parsed_json['location']['city']\n", + "temp_f = parsed_json['current_observation']['temp_f']\n", + "print \"La temperatura actual en %s es: %s F\" % (location, temp_f)\n", + "f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Ejercicio 1\n", + "\n", + "Modificar el codigo anterior para que la temperatura se imprima en grados Centigrados. _Sugerencia_: Vean el diccionario JSON que regresa el servicio: `parsed_json`" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A continuacion, copien las lineas de codigo a un archivo con extension `.py`. En las libretas es muy facil pues lo unico que tienen que hacer es agregar una instruccion `%%file _nombre_.py`, donde `_nombre_` es el nombre del archivo como quieren guardarlo:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Writing tempMexicoF.py\n" + ] + } + ], + "source": [ + "%%file tempMexicoF.py\n", + "import urllib2\n", + "import json\n", + "\n", + "f = urllib2.urlopen('http://api.wunderground.com/api/0def10027afaebb7/geolookup/conditions/forecast/q/Mexico/Mexico.json')\n", + "json_string = f.read()\n", + "parsed_json = json.loads(json_string)\n", + "location = parsed_json['location']['city']\n", + "temp_f = parsed_json['current_observation']['temp_f']\n", + "print \"La temperatura actual en %s es: %s F\" % (location, temp_f)\n", + "f.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pueden verificar que el archivo efectivamente se guardo en su ruta local usando la instruccion `!dir`, la cual usa el comando del OS `dir` para listar los archivos en el folder actual" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Volume in drive C has no label.\n", + " Volume Serial Number is 7C9E-FF3C\n", + "\n", + " Directory of C:\\Users\\horacio\\Documents\\GitHub\\lania.ipython\\Dia2\\notebooks\n", + "\n", + "10/30/2015 12:48 PM .\n", + "10/30/2015 12:48 PM ..\n", + "10/30/2015 12:41 PM .ipynb_checkpoints\n", + "10/30/2015 12:30 PM 3,181 D2L1_Recap.ipynb\n", + "10/30/2015 12:38 PM 4,339 D2L2_Interactuando_con_dispositivo.ipynb\n", + "10/30/2015 12:47 PM 2,397 D2L3_EstadodelTiempo.ipynb\n", + "10/30/2015 11:47 AM 1,637,081 D2Ln_InputOutputPython.ipynb\n", + "10/30/2015 12:48 PM 393 tempMexicoF.py\n", + "10/30/2015 11:50 AM Tutoriales\n", + " 5 File(s) 1,647,391 bytes\n", + " 4 Dir(s) 319,749,308,416 bytes free\n" + ] + } + ], + "source": [ + "!dir" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora copien el script al dispositivo." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "76 KB/s (393 bytes in 0.005s)\n" + ] + } + ], + "source": [ + "!adb push tempMexicoF.py /sdcard/sl4a/scripts" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Revisen su dispositivo, en la lista de scripts deben encontrar el archivo que acaban de copiar. Ejecutenlo y observen lo que ocurre.\n", + "\n", + "# Ejercicio 2\n", + "\n", + "Modificar el script anterior para que la temperatura se despliegue en la pantalla del dispositivo usando primero el metodo `makeToast` y despues una GUI. **NOTA:** usen la informacion de referencia de la APIA: [API Reference](https://github.com/damonkohler/sl4a/blob/wiki/ApiReference.md)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia2/notebooks/D2L4_Sensores.ipynb b/Dia2/notebooks/D2L4_Sensores.ipynb new file mode 100644 index 0000000..def3cf3 --- /dev/null +++ b/Dia2/notebooks/D2L4_Sensores.ipynb @@ -0,0 +1,661 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Dia 2, Libreta 4. Probando sensores\n", + "\n", + "En esta libreta conoceremos, de forma programatica, como probar los sensores que tienen instalados en sus dispositivos y extraeremos informacion de ellos." + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import time \n", + "import android\n", + "droide=android.Android()" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "!adb forward tcp:9999 tcp:52430" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=0, result=None, error=None)" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.ttsSpeak(\"aqui estoy\")" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=1, result=None, error=None)" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.startSensingTimed(1,100)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n" + ] + } + ], + "source": [ + "for i in range(10):\n", + " e = droide.eventPoll(1)\n", + " if e.result is not None:\n", + " print True\n", + " else:\n", + " time.sleep(2)\n", + " print False" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=12, result=None, error=None)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.stopSensing()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "De acuerdo a la documentacion, `startSensingTimed` requiere dos argumentos enteros (int). El primero de ellos especifica el sensor del cual se va a leer. Si el valor es 1 se utilizan todos los sensores disponibles; 2 = acelerometro, 3 = magnetometro, 4 = luz. El segundo entero espcifica el tiempo minimo, en milisegundos, entre lecturas.\n", + "\n", + "# Probando el gps\n", + "\n", + "Tambien podemos tomar lecturas del localizacion. Veamos de donde podemos acceder datos de localizacion de su dispositivo:" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=37, result=[u'passive', u'gps', u'network'], error=None)" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.locationProviders()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=38, result=None, error=None)" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.startLocating()" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n" + ] + } + ], + "source": [ + "for i in range(10):\n", + " e = droide.eventPoll(1)\n", + " if e.result is not None:\n", + " print True\n", + " else:\n", + " time.sleep(2)\n", + " print False" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora escriban la siguiente instruccion y observen su dispositivo" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "evento = droide.eventWaitFor('location', 1000).result" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "u'location'" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "evento['name']" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "lat=str(evento['data']['network']['latitude'])\n", + "lng = str(evento['data']['network']['longitude'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos asignar las variables dependiendo del sensor que se usa para obtener el evento:" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "lat: 19.5203024 lng: -96.9155137\n" + ] + } + ], + "source": [ + "if evento['name'] == 'location':\n", + " try:\n", + " lat = str(evento['data']['gps']['latitude'])\n", + " lng = str(evento['data']['gps']['longitude'])\n", + " except KeyError:\n", + " lat = str(evento['data']['network']['latitude'])\n", + " lng = str(evento['data']['network']['longitude'])\n", + " latlng = 'lat: ' + lat + ' lng: ' + lng\n", + "print latlng" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=50, result=None, error=None)" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.stopLocating()" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[{u'admin_area': u'Veracruz',\n", + " u'country_code': u'MX',\n", + " u'country_name': u'Mexico',\n", + " u'feature_name': u'97B',\n", + " u'locality': u'Xalapa',\n", + " u'sub_admin_area': u'Xalapa',\n", + " u'thoroughfare': u'Enrique C R\\xe9bsamen'}]" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.geocode(lat,lng).result" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "lnl = droide.getLastKnownLocation()\n", + "lat=lnl.result['gps']['latitude']\n", + "lng=lnl.result['gps']['longitude']" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[{u'admin_area': u'Veracruz',\n", + " u'country_code': u'MX',\n", + " u'country_name': u'Mexico',\n", + " u'feature_name': u'70',\n", + " u'sub_admin_area': u'Xalapa',\n", + " u'thoroughfare': u'Enrique C. R\\xe9bsamen'}]" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.geocode(lat,lng).result" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Probando el telefono" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=19, result=None, error=None)" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.startTrackingPhoneState()" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n", + "True\n" + ] + } + ], + "source": [ + "for i in range(10):\n", + " e = droide.eventPoll(1)\n", + " if e.result is not None:\n", + " print True\n", + " else:\n", + " time.sleep(2)\n", + " print False" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=30, result=None, error=None)" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.stopTrackingPhoneState()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Probando el estado del WiFi" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Vean el estado del wifi en su dispositivo, y despues escriban" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=31, result=False, error=None)" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.toggleWifiState()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Vuelvan a ver el estado del wifi" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=32, result=True, error=None)" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.toggleWifiState()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Descubriendo sensores\n" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=8, result=None, error=None)" + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.startSensingTimed(1, 250)\n", + "time.sleep(1)\n", + "s1 = droide.readSensors().result\n", + "s2 = droide.sensorsGetAccuracy().result\n", + "s3 = droide.sensorsGetLight().result\n", + "s4 = droide.sensorsReadAccelerometer().result\n", + "s5 = droide.sensorsReadMagnetometer().result\n", + "s6 = droide.sensorsReadOrientation().result\n", + "droide.stopSensing()" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{u'accuracy': 3,\n", + " u'azimuth': 2.5239644050598145,\n", + " u'gravity-0': -0.15169721841812134,\n", + " u'gravity-1': 0.5371214151382446,\n", + " u'gravity-2': 9.790754318237305,\n", + " u'light': 68,\n", + " u'light-0': 0.03009372018277645,\n", + " u'light-1': 0.02316950261592865,\n", + " u'light-2': 0.0018642127979546785,\n", + " u'linear_acceleration-0': 0.2265160232782364,\n", + " u'linear_acceleration-1': -0.41561567783355713,\n", + " u'linear_acceleration-2': -0.15469074249267578,\n", + " u'magnetic_field-0': 144.23611450195312,\n", + " u'magnetic_field-1': -3.139726400375366,\n", + " u'magnetic_field-2': -0.8876655101776123,\n", + " u'pitch': -0.012608430348336697,\n", + " u'proximity-0': 5,\n", + " u'proximity-1': 0,\n", + " u'proximity-2': 0,\n", + " u'roll': -0.0077643017284572124,\n", + " u'rotation_vector-0': 0.015781104564666748,\n", + " u'rotation_vector-1': -0.02369396761059761,\n", + " u'rotation_vector-2': -0.9512404203414917,\n", + " u'time': 1446236812.347,\n", + " u'xMag': -188.8,\n", + " u'xforce': 0.074818805,\n", + " u'yMag': -265.9,\n", + " u'yforce': 0.12150574,\n", + " u'zMag': -46.6,\n", + " u'zforce': 9.636064}" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s1" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia2/notebooks/D2L5_acelerometro.ipynb b/Dia2/notebooks/D2L5_acelerometro.ipynb new file mode 100644 index 0000000..8438bb4 --- /dev/null +++ b/Dia2/notebooks/D2L5_acelerometro.ipynb @@ -0,0 +1,327 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Dia 2, Libreta 5 acelerometro\n", + "\n", + "En esta libreta accederemos a los datos de su acelerometro. Nuevamente importen el modulo y creen un objeto `android`." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import android\n", + "droide=android.Android()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=1, result=None, error=None)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.ttsSpeak(\"hola bato\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# 100ms entre lecturas\n", + "dt = 100\n", + "# duracion de la muestras\n", + "fin = 3000" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Inicializamos el tiempo de censado e iniciamos censado en el dispositivo" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=2, result=None, error=None)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tiempo = 0\n", + "droide.startSensingTimed(2,dt)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "La siguiente instruccion regresa los valores de la lectura del acelerometro:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=3, result=[0.08140286, 0.12569559, 9.6767645], error=None)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.sensorsReadAccelerometer()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Guardaremos estas lecturas en una variable que contendra los datos" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "lecturas = []" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora censamos hasta que el tiempo alcance el tiempo de sensado" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import time\n", + "while tiempo <= fin:\n", + " lecturas.append(droide.sensorsReadAccelerometer().result)\n", + " time.sleep(dt/1000.0)\n", + " tiempo += dt\n", + " \n", + "droide.stopSensing();" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[[0.0712275, 0.109534726, 9.687539],\n", + " [0.073621705, 0.1352724, 9.671976],\n", + " [0.062249243, 0.14664486, 9.675568],\n", + " [0.08619126, 0.13347675, 9.667188],\n", + " [0.073621705, 0.12210429, 9.689933],\n", + " [0.08319851, 0.12150574, 9.704897],\n", + " [0.0676362, 0.1400608, 9.660006],\n", + " [0.08319851, 0.1340753, 9.671378],\n", + " [0.076015905, 0.12090719, 9.701305],\n", + " [0.077811554, 0.12928689, 9.660006],\n", + " [0.075417355, 0.12330139, 9.661801],\n", + " [0.08619126, 0.12389994, 9.691729],\n", + " [0.06584055, 0.12389994, 9.673173],\n", + " [0.06464344, 0.12689269, 9.700109],\n", + " [0.088585466, 0.14784196, 9.640852],\n", + " [0.074220255, 0.110133275, 9.689933],\n", + " [0.060453594, 0.12808979, 9.670779],\n", + " [0.07062895, 0.12030864, 9.669582],\n", + " [0.088585466, 0.12509704, 9.680356],\n", + " [0.08379706, 0.13347675, 9.650429],\n", + " [0.050278235, 0.110133275, 9.679159],\n", + " [0.061650693, 0.12868834, 9.705495],\n", + " [0.0712275, 0.11731588, 9.662998],\n", + " [0.0688333, 0.12749124, 9.661202],\n", + " [0.094570965, 0.11671733, 9.656414],\n", + " [0.08080431, 0.11671733, 9.689933],\n", + " [0.0700304, 0.109534726, 9.683349],\n", + " [0.08439561, 0.12509704, 9.654019],\n", + " [0.06344634, 0.12330139, 9.6923275],\n", + " [0.077213004, 0.1316811, 9.687539],\n", + " [0.05327099, 0.11971009, 9.719262],\n", + " [0.076015905, 0.11851298, 9.656414],\n", + " [0.09756372, 0.15562311, 9.654618]]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lecturas" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "df = pd.DataFrame(lecturas, columns=['x','y','z'])" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Int64Index: 33 entries, 0 to 32\n", + "Data columns (total 3 columns):\n", + "x 33 non-null float64\n", + "y 33 non-null float64\n", + "z 33 non-null float64\n", + "dtypes: float64(3)\n", + "memory usage: 1.0 KB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df.plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Ejercicio\n", + "\n", + "Escriban un script que lleve a cabo unicamente la lectura de los datos del acelerometro de su dispositivo y copienlo en el folder correspondiente para ejecutarlo desde sus dispositivos." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia2/notebooks/D2L6_Detectando_rostros.ipynb b/Dia2/notebooks/D2L6_Detectando_rostros.ipynb new file mode 100644 index 0000000..e481466 --- /dev/null +++ b/Dia2/notebooks/D2L6_Detectando_rostros.ipynb @@ -0,0 +1,375 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Dia 2 Libreta 6\n", + "En esta libreta usaremos un clasificador para detectar rostros en imagenes; despues realizaran el ejercicio de tomar una foto de su rostro con el dispositivo, extraerlo del mismo a la mnaquina y aplciar el detector. \n", + "\n", + "Finalmente, trataremos de implementarlo en el dispositivo...\n", + "\n", + "Algo de informacion [tomada de este sitio](https://realpython.com/blog/python/face-recognition-with-python/)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import sys, os, re, time\n", + "import numpy as np\n", + "import cv2" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "pic = os.path.join('.','carota.jpg')#ZuzanaB.jpg')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "img=cv2.imread(pic)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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JkyhTu81CVsS+oXjzE1T7w73GvmSh+MLknrj/IQssMfOgBSlqLi4gc58QgtoP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qKzvB/Px2rOfw0br3/wa78P3O59+E1MOtxh96h0w76d1ufT2/0+fZj9WaqmwN6S8uP3UgjgCKRx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\nIAedlEtWnUQ1PaxBvNeI6z0B1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VlvtySllI6nlG5qvp+Q9HpJX9ActD3n/KSkb6SU7m02\n/ZSkhyU9oINq+yEYct+o4tl9TNI7D8OYPKJt75P0LZVE5m9I+psqCdkfk/QVSR+RdNr2f1dzH49I\n+plDbvtrVGxrD6mQzoOS3jDr7Zf0I5I+27T785Le1myf6XaHe7hf1Xs+8+1WsQs+1Px9kXE4D21v\n2vKnVRyGn5P0eyrOoQNre59G2aNHjx5ToM8I6tGjR48p0JNmjx49ekyBnjR79OjRYwr0pNmjR48e\nU6AnzR49evSYAj1p9ujRo8cU6EmzR48ePaZAT5o9evToMQX+P2L9ttKecxkPAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n", + "plt.imshow(gray)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "caras_cascada=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "caras = caras_cascada.detectMultiScale(gray, 1.2, 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Encontramos 0 faces!\n" + ] + } + ], + "source": [ + "print \"Encontramos {0} faces!\".format(len(caras))" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "for (x,y,w,h) in caras:\n", + " cv2.rectangle(img, (x,y), (x+w,y+h), (0,255,0), 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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VRYVWiip3dHodpM55/PGLZEkCqglZABSsrK6BFvJyyukX38Lxs2dY6a2S9Tqk3YxulrG/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\n/VcAIIKild+ZPsuAlJFheaO3kZaw9JOI+hnYRKBWe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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(img)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import android\n", + "droide=android.Android()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=0, result=None, error=None)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.ttsSpeak(\"Hola listo para el registro\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(id=4, result={u'takePicture': True, u'autoFocus': False, u'cameraId': 0}, error=None)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.cameraCapturePicture('/sdcard/DCIM/CAMERA/carota.jpg')" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2273 KB/s (60541 bytes in 0.026s)\n" + ] + } + ], + "source": [ + "!adb pull /sdcard/DCIM/carota.jpg" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{u'Adblock Plus': u'org.adblockplus.android.Preferences',\n", + " u'Barcode Scanner': u'com.google.zxing.client.android.H5View',\n", + " u'Brain Challenge 4: Breaking Limits': u'com.gameloft.android.LATAM.B329.Start',\n", + " u'Calculator': u'com.sec.android.app.popupcalculator.Calculator',\n", + " u'Camera': u'com.sec.android.app.camera.Camera',\n", + " u'Chrome': u'com.google.android.apps.chrome.Main',\n", + " u'ClaroVideo': u'com.clarovideo.app.ui.activities.SplashActivity',\n", + " u'Clarojuegos': u'com.gameloft.android.gdc.GDCMainShop',\n", + " u'Clarom\\xfasica': u'com.telcel.imk.MainActivity',\n", + " u'Clock': u'com.sec.android.app.clockpackage.ClockPackage',\n", + " u'Contacts': u'com.android.contacts.activities.PeopleActivity',\n", + " u'Downloads': u'com.android.providers.downloads.ui.DownloadList',\n", + " u'Drive': u'com.google.android.apps.docs.app.NewMainProxyActivity',\n", + " u'Email': u'com.android.email.activity.Welcome',\n", + " u'Flashlight': u'com.devuni.flashlight.MainActivity',\n", + " u'Flipboard': u'flipboard.activities.LaunchActivityAlias',\n", + " u'GPS Telcel': u'com.telenav.app.android.gpstelcel.TeleNav',\n", + " u'GPS Tracks Uploader': u'com.whitedavidp.mytracksuploader.MainActivity',\n", + " u'Galaxy Apps': u'com.sec.android.app.samsungapps.SamsungAppsMainActivity',\n", + " u'Gallery': u'com.sec.android.gallery3d.app.Gallery',\n", + " u'Gmail': u'com.google.android.gm.ConversationListActivityGmail',\n", + " u'Google': u'com.google.android.googlequicksearchbox.SearchActivity',\n", + " u'Google Settings': u'com.google.android.gms.app.settings.GoogleSettingsActivity',\n", + " u'Google+': u'com.google.android.apps.plus.phone.HomeActivity',\n", + " u'Group Play': u'com.samsung.groupcast.start.StartActivity',\n", + " u'Hangouts': u'com.google.android.talk.SigningInActivity',\n", + " u'Help': u'com.samsung.helphub.HelpHubActivity',\n", + " u'IUSACELL 4G': u'com.android.stk.StkLauncherActivity',\n", + " u'Internet': u'com.sec.android.app.sbrowser.SBrowserMainActivity',\n", + " u'MW Sampler': u'com.olympiapps.mwsampler.Main',\n", + " u'Map My Tracks': u'com.mapmytracks.outfrontfree.view.dashboard.Dashboard',\n", + " u'Maps': u'com.google.android.maps.MapsActivity',\n", + " u'Messages': u'com.android.mms.ui.ConversationComposer',\n", + " u'Mi Telcel': u'com.speedymovil.wire.Login',\n", + " u'Mobizen for SAMSUNG': u'com.rsupport.mvagent.ui.activity.splash.SplashActivity',\n", + " u'Music': u'com.sec.android.app.music.MusicActionTabActivity',\n", + " u'My Files': u'com.sec.android.app.myfiles.MainActivity',\n", + " u'My Sensors': u'com.kfodor.MySensors.MySensors',\n", + " u'My Tracks': u'com.google.android.apps.mytracks.TrackListActivity',\n", + " u'Phone': u'com.android.contacts.activities.DialtactsActivity',\n", + " u'Photos': u'com.google.android.apps.plus.phone.ConversationListActivity',\n", + " u'Play Books': u'com.google.android.apps.books.app.BooksActivity',\n", + " u'Play Games': u'com.google.android.gms.games.ui.destination.main.MainActivity',\n", + " u'Play Movies & TV': u'com.google.android.youtube.videos.EntryPoint',\n", + " u'Play Music': u'com.android.music.activitymanagement.TopLevelActivity',\n", + " u'Play Store': u'com.android.vending.AssetBrowserActivity',\n", + " u'Portal Claroideas': u'com.portal.Portal',\n", + " u'Python for Android': u'com.googlecode.pythonforandroid.PythonMain',\n", + " u'QR Code Reader': u'me.scan.android.client.ui.ScanActivity',\n", + " u'Qr Barcode Scanner': u'com.QRBS.activity.StartActivity',\n", + " u'RF Signal Tracker': u'com.hotrod.utility.rfsignaltrackereclair.RFTabHost',\n", + " u'RF Signal Tracker (Donut)': u'com.hotrod.utility.rfsignaltracker.RFController',\n", + " u'Radio': u'com.sec.android.app.fm.MainActivity',\n", + " u'RegionLock Away': u'eu.chainfire.regionlockaway.MainActivity',\n", + " u'Root Check': u'com.jrummyapps.rootchecker.ui.activities.RootCheckerActivity',\n", + " u'S Memo': u'com.sec.android.widgetapp.q1_penmemo.MemoListActivity',\n", + " u'S Planner': u'com.android.calendar.AllInOneActivity',\n", + " u'S Translator': u'com.sec.android.app.translator.MainActivity',\n", + " u'S Voice': u'com.vlingo.midas.gui.ConversationActivity',\n", + " u'SL4A': u'com.googlecode.android_scripting.activity.ScriptManager',\n", + " u'Samsung Hub': u'com.sec.everglades.main.HomeActivity',\n", + " u'Samsung Link': u'com.mfluent.asp.ui.MobileChargesNotificationActivity',\n", + " u'Samsung TV remote': u'ir.remote.smg.tv.MainActivity',\n", + " u'Settings': u'com.android.settings.Settings',\n", + " u'Shell Terminal Emulator': u'com.acr.shellterminalemulator.Main',\n", + " u'Story Album': u'com.samsung.android.app.episodes.ui.timeline.TimelineActivity',\n", + " u'SuperSU': u'eu.chainfire.supersu.MainActivity-Emblem',\n", + " u'SwiftKey Keyboard': u'com.touchtype.LauncherActivity',\n", + " u'Tasker': u'net.dinglisch.android.taskerm.Tasker',\n", + " u'Telcel': u'com.telcel.contenedor.gui.activities.AppsContainerActivity',\n", + " u'TripAdvisor': u'com.tripadvisor.tripadvisor.TripAdvisorTripAdvisorActivity',\n", + " u'UNO': u'com.gameloft.android.LATAM.B330.Start',\n", + " u'UnoTelly': u'com.app.unotelly.MainActivity',\n", + " u'Video': u'com.samsung.everglades.video.VideoMain',\n", + " u'Voice Recorder': u'com.sec.android.app.voicerecorder.VoiceRecorderMainActivity',\n", + " u'Voice Search': u'com.google.android.googlequicksearchbox.VoiceSearchActivity',\n", + " u'Waze': u'com.waze.FreeMapAppActivity',\n", + " u'YouTube': u'com.google.android.youtube.app.honeycomb.Shell$HomeActivity'}" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "droide.getLaunchableApplications().result\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia2/notebooks/D2Ln_InputOutputPython.ipynb b/Dia2/notebooks/D2Ln_InputOutputPython.ipynb new file mode 100644 index 0000000..e5b1edc --- /dev/null +++ b/Dia2/notebooks/D2Ln_InputOutputPython.ipynb @@ -0,0 +1,12391 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%run ../talktools.py" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Analisis de Datos\n", + "=======\n", + "Este es un modulo donde aprenderemos a importar y graficar datos de archivos. \n", + "\n", + "En este modulo aprenderemos a leer archivos separados por coma (CSV) y continuaremos analizando datos." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Los archivos separados por comas, conocidos como .csv, son una forma de expresar datos estructurados en simples archivos de texto:\n", + "\n", + " \"Cafe\",\"Agua\",\"Leche\",\"Helado\"\n", + " \"Espresso\",\"No\",\"No\",\"No\"\n", + " \"Negro Cortado\",\"No\",\"Si\",\"No\"\n", + " \"Moka\",\"No\",\"Si\",\"Si\"\n", + " \"Cappuccino\",\"No\",\"Yes - Espumosa\",\"No\"\n", + " \"Affogato\",\"No\",\"No\",\"Si\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Es un formato comun para ingresar datos de y desde programas como Hojas de Calculo, donde los datos son tabulares.\n", + "\n", + "Python tiene un modulo con utilidades para trabajar con datos delimitados por CSV. El modulo se llama [`csv`](http://docs.python.org/3/library/csv.html). \n", + "\n", + "El archivo [Xalapa_2014_datos.csv](/home/htapia/LocalRepos/lania.posdoc/posdoc.1er/cursos/lania.ipython/notebooks/Dia1/Xalapa_2014_datos.csv) con el que trabajamos previamente es un ejemplo de datos estructurados en este formato. Ejecutando las siguientes instrucciones en una celda nos permite ver su contenido:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['# Estaci\\xc3\\xb3n meteorol\\xc3\\xb3gica Xalapa-Enr\\xc3\\xadquez', ' M\\xc3\\xa9xico', ' WMO_ID=76688', ' selecci\\xc3\\xb3n desde 01.01.2014 hasta 03.10.2014', ' todos los d\\xc3\\xadas']\n", + "['# Codificaci\\xc3\\xb3n: UTF-8']\n", + "['# Los datos han sido presentados por el sitio web \"Real pron\\xc3\\xb3stico\"', ' rp5.ru ']\n", + "['# Por favor', ' al utilizar los datos mencione este sitio.']\n", + "['# Determinaci\\xc3\\xb3n de los par\\xc3\\xa1metros meteorol\\xc3\\xb3gicos en el enlace: http://dev.rp5.ru.local/archive.php?wmo_id=27612&lang=en http://rp5.ru/archive.php?wmo_id=76688&lang=es']\n", + "['#']\n", + "['Hora local en Xalapa-Enr\\xc3\\xadquez;\"T\";\"Po\";\"P\";\"Pa\";\"U\";\"DD\";\"Ff\";\"ff10\";\"ff3\";\"N\";\"WW\";\"W1\";\"W2\";\"Tn\";\"Tx\";\"Cl\";\"Nh\";\"H\";\"Cm\";\"Ch\";\"VV\";\"Td\";\"RRR\";\"tR\";\"E\";\"Tg\";\"E\\'\";\"sss\"']\n", + "['03.10.2014 10:00;\"24.2\";\"651.2\";\"761.3\";\"0.9\";\"71\";\"Viento procedente del estenoreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.10.2014 07:00;\"17.8\";\"650.3\";\"762.8\";\"0.6\";\"99\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.10.2014 04:00;\"18.9\";\"649.7\";\"761.7\";\"-0.4\";\"98\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.10.2014 01:00;\"19.1\";\"650.1\";\"762.0\";\"\";\"99\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.0\";\"27.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.9\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.10.2014 19:00;\"19.9\";\"648.4\";\"759.7\";\"0.7\";\"95\";\"Viento procedente del sudeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.0\";\"27.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.10.2014 16:00;\"24.0\";\"647.7\";\"757.3\";\"-1.0\";\"72\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.10.2014 13:00;\"26.7\";\"648.7\";\"757.4\";\"-0.9\";\"65\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.0\";\"27.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.10.2014 10:00;\"21.6\";\"649.6\";\"760.5\";\"0.2\";\"74\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.10.2014 07:00;\"17.8\";\"649.4\";\"761.8\";\"1.1\";\"100\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.10.2014 04:00;\"17.8\";\"648.3\";\"760.5\";\"-0.6\";\"100\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.8\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.10.2014 01:00;\"18.8\";\"648.9\";\"760.8\";\"0.2\";\"99\";\"Viento procedente del sudeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.8\";\"27.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.7\";\"0.2\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.10.2014 22:00;\"19.6\";\"648.7\";\"760.3\";\"1.4\";\"99\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.5\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.10.2014 19:00;\"21.3\";\"647.3\";\"757.9\";\"0.4\";\"92\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.8\";\"27.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"20.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.10.2014 16:00;\"25.7\";\"646.9\";\"755.6\";\"-1.7\";\"66\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.10.2014 13:00;\"25.1\";\"648.6\";\"757.9\";\"0.1\";\"70\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.8\";\"25.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.10.2014 10:00;\"23.6\";\"648.5\";\"758.3\";\"0.4\";\"69\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.10.2014 07:00;\"14.9\";\"648.1\";\"761.4\";\"0.3\";\"100\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.9\";\"27.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.10.2014 04:00;\"15.6\";\"647.8\";\"760.7\";\"-0.4\";\"100\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.6\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.10.2014 01:00;\"17.6\";\"648.2\";\"760.4\";\"-0.2\";\"100\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.6\";\"27.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.6\";\"2.0\";\"12\";\"Seco 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13:00;\"25.1\";\"648.5\";\"757.8\";\"\";\"64\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"24.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.7\";\"\";\"\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.09.2014 04:00;\"16.2\";\"648.3\";\"761.1\";\"-0.7\";\"100\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.09.2014 01:00;\"16.6\";\"649.0\";\"761.8\";\"0.0\";\"100\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.5\";\"26.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.6\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['29.09.2014 22:00;\"16.9\";\"649.0\";\"761.7\";\"\";\"100\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" 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22:00;\"19.1\";\"649.2\";\"761.0\";\"1.3\";\"99\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.9\";\"1.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.09.2014 19:00;\"21.8\";\"647.9\";\"758.4\";\"0.1\";\"87\";\"Viento procedente del sudeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.8\";\"28.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.09.2014 16:00;\"22.3\";\"647.8\";\"758.0\";\"-1.9\";\"84\";\"Viento procedente del este\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.09.2014 13:00;\"25.9\";\"649.7\";\"758.8\";\"0.1\";\"62\";\"Viento procedente del noreste\";\"1\";\"\";\"\";\"\";\" 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04:00;\"16.7\";\"649.8\";\"762.7\";\"-0.9\";\"100\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.09.2014 01:00;\"17.7\";\"650.7\";\"763.3\";\"0.1\";\"100\";\"Viento procedente del noreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.1\";\"26.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.7\";\"0.6\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.09.2014 22:00;\"18.0\";\"650.6\";\"763.1\";\"1.1\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.9\";\"0.4\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.09.2014 19:00;\"20.1\";\"649.5\";\"760.9\";\"-0.1\";\"89\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" 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22:00;\"18.0\";\"651.4\";\"764.1\";\"1.5\";\"99\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.8\";\"1.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.09.2014 19:00;\"19.2\";\"649.9\";\"761.8\";\"0.0\";\"94\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.2\";\"25.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.2\";\"5.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.09.2014 16:00;\"22.6\";\"649.9\";\"760.3\";\"-1.2\";\"75\";\"Viento procedente del nornoreste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.09.2014 13:00;\"22.9\";\"651.1\";\"761.8\";\"-0.2\";\"74\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" 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01:00;\"18.1\";\"651.1\";\"763.7\";\"0.1\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.8\";\"25.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.0\";\"1.0\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.09.2014 22:00;\"18.2\";\"651.0\";\"763.5\";\"1.5\";\"99\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.1\";\"1.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.09.2014 19:00;\"20.0\";\"649.5\";\"760.9\";\"-0.5\";\"92\";\"Viento procedente del sudeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.8\";\"25.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.6\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.09.2014 16:00;\"20.4\";\"650.0\";\"761.4\";\"-0.9\";\"89\";\"Viento procedente del noreste\";\"1\";\"\";\"\";\"\";\" 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07:00;\"17.5\";\"648.4\";\"760.7\";\"0.2\";\"96\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.3\";\"26.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.09.2014 04:00;\"18.5\";\"648.2\";\"760.1\";\"-0.8\";\"99\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.09.2014 01:00;\"20.1\";\"649.0\";\"760.4\";\"0.3\";\"96\";\"Viento procedente del sursuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"19.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.5\";\"0.2\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.09.2014 22:00;\"20.3\";\"648.7\";\"759.8\";\"1.1\";\"97\";\"Viento procedente del 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04:00;\"15.3\";\"650.7\";\"764.3\";\"-1.2\";\"99\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.09.2014 01:00;\"16.1\";\"651.9\";\"765.4\";\"0.0\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.8\";\"25.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.0\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['15.09.2014 22:00;\"17.4\";\"651.9\";\"764.8\";\"1.4\";\"100\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['15.09.2014 19:00;\"20.5\";\"650.5\";\"761.9\";\"-0.3\";\"82\";\"Calma', ' 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04:00;\"16.9\";\"649.6\";\"762.4\";\"-0.8\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.09.2014 01:00;\"16.5\";\"650.4\";\"763.5\";\"0.2\";\"99\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.1\";\"24.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.4\";\"0.2\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['13.09.2014 22:00;\"17.6\";\"650.2\";\"762.7\";\"1.9\";\"100\";\"Viento procedente del norte\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.6\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['13.09.2014 19:00;\"18.4\";\"648.3\";\"760.3\";\"0.0\";\"99\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" 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07:00;\"15.7\";\"647.8\";\"760.8\";\"-0.9\";\"92\";\"Viento procedente del norte\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.09.2014 04:00;\"16.5\";\"648.7\";\"761.5\";\"-0.8\";\"99\";\"Viento procedente del nornoroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.09.2014 01:00;\"17.4\";\"649.5\";\"762.1\";\"-0.1\";\"97\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.0\";\"26.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.9\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.09.2014 22:00;\"17.7\";\"649.6\";\"762.1\";\"1.7\";\"97\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.09.2014 19:00;\"19.9\";\"647.9\";\"759.2\";\"\";\"88\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"19.9\";\"26.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.09.2014 13:00;\"25.9\";\"649.3\";\"758.4\";\"\";\"61\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"23.4\";\"26.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.9\";\"\";\"\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.09.2014 04:00;\"17.2\";\"650.7\";\"763.5\";\"-0.7\";\"99\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" 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del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.7\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['08.09.2014 04:00;\"17.0\";\"650.1\";\"762.9\";\"-0.9\";\"92\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['08.09.2014 01:00;\"16.5\";\"651.0\";\"764.2\";\"\";\"99\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.9\";\"25.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.4\";\"0.4\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['07.09.2014 19:00;\"19.7\";\"649.4\";\"761.0\";\"-0.2\";\"81\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" 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22:00;\"18.9\";\"648.4\";\"760.2\";\"1.4\";\"97\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.4\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.09.2014 19:00;\"19.8\";\"647.0\";\"758.2\";\"\";\"89\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.7\";\"21.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.09.2014 04:00;\"16.5\";\"647.5\";\"760.2\";\"-1.5\";\"99\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.09.2014 01:00;\"18.5\";\"649.0\";\"760.9\";\"0.3\";\"99\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.09.2014 04:00;\"15.2\";\"649.0\";\"762.4\";\"-1.0\";\"96\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.09.2014 01:00;\"16.5\";\"650.0\";\"763.0\";\"\";\"98\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.7\";\"27.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.2\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['31.08.2014 19:00;\"21.3\";\"649.0\";\"760.0\";\"-0.1\";\"87\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.7\";\"27.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo 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13:00;\"27.3\";\"648.1\";\"756.4\";\"-0.6\";\"52\";\"Viento procedente del sursureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.9\";\"28.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['29.08.2014 10:00;\"24.5\";\"648.7\";\"758.2\";\"0.9\";\"65\";\"Viento procedente del sudeste\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.4\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['29.08.2014 07:00;\"15.0\";\"647.8\";\"761.2\";\"-0.1\";\"97\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['29.08.2014 04:00;\"15.7\";\"647.9\";\"760.9\";\"-1.5\";\"97\";\"Viento procedente del 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04:00;\"14.9\";\"649.3\";\"763.0\";\"-1.4\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.8\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.08.2014 01:00;\"18.3\";\"650.7\";\"763.0\";\"-0.1\";\"100\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.7\";\"27.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.3\";\"8.0\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['27.08.2014 22:00;\"19.5\";\"650.8\";\"762.7\";\"\";\"99\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.4\";\"7.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['27.08.2014 16:00;\"26.3\";\"649.9\";\"759.0\";\"\";\"65\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" 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01:00;\"16.2\";\"652.1\";\"765.7\";\"-0.1\";\"95\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.5\";\"24.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.4\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.08.2014 22:00;\"17.6\";\"652.2\";\"765.1\";\"1.6\";\"96\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.08.2014 19:00;\"20.9\";\"650.6\";\"761.9\";\"\";\"86\";\"Viento procedente del estesureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.5\";\"24.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.08.2014 13:00;\"20.1\";\"652.5\";\"764.4\";\"0.0\";\"85\";\"Viento procedente del 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.08.2014 01:00;\"16.7\";\"653.2\";\"766.7\";\"0.2\";\"95\";\"Viento procedente del sudeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.5\";\"26.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.9\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.08.2014 22:00;\"19.2\";\"653.0\";\"765.4\";\"1.1\";\"98\";\"Viento procedente del estesureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.08.2014 19:00;\"24.0\";\"651.9\";\"762.1\";\"0.0\";\"63\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.5\";\"26.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo 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07:00;\"15.8\";\"652.2\";\"765.9\";\"0.2\";\"99\";\"Viento procedente del sur-oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.5\";\"28.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.6\";\"3.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.08.2014 04:00;\"15.1\";\"652.0\";\"766.0\";\"0.1\";\"93\";\"Viento procedente del sur\";\"4\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.0\";\"10.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.08.2014 01:00;\"17.7\";\"651.9\";\"764.7\";\"0.5\";\"97\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.0\";\"28.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.2\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['20.08.2014 22:00;\"18.8\";\"651.4\";\"763.6\";\"0.9\";\"97\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" 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13:00;\"25.2\";\"650.5\";\"760.1\";\"-0.1\";\"61\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.8\";\"26.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.08.2014 10:00;\"22.6\";\"650.6\";\"761.2\";\"0.9\";\"66\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.08.2014 07:00;\"16.1\";\"649.7\";\"762.9\";\"-0.4\";\"97\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.1\";\"24.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.08.2014 04:00;\"17.5\";\"650.1\";\"762.7\";\"-0.9\";\"92\";\"Calma', ' 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13:00;\"25.4\";\"651.7\";\"761.5\";\"0.1\";\"55\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.5\";\"27.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['17.08.2014 10:00;\"22.3\";\"651.6\";\"762.5\";\"0.8\";\"61\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['17.08.2014 07:00;\"14.9\";\"650.8\";\"764.6\";\"-0.6\";\"97\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.5\";\"28.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['17.08.2014 04:00;\"15.3\";\"651.4\";\"765.3\";\"-0.9\";\"96\";\"Viento procedente del 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04:00;\"16.7\";\"651.7\";\"765.0\";\"-0.6\";\"99\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['15.08.2014 01:00;\"18.3\";\"652.3\";\"765.1\";\"0.6\";\"95\";\"Viento procedente del estenoreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.2\";\"26.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.5\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.08.2014 22:00;\"19.9\";\"651.7\";\"763.6\";\"1.5\";\"95\";\"Viento procedente del sudeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.08.2014 19:00;\"22.6\";\"650.2\";\"760.7\";\"\";\"77\";\"Viento procedente del 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"['12.08.2014 04:00;\"17.0\";\"652.0\";\"765.1\";\"-0.3\";\"94\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.08.2014 01:00;\"16.7\";\"652.3\";\"765.7\";\"0.4\";\"96\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.5\";\"26.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.1\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.08.2014 22:00;\"18.0\";\"651.9\";\"764.6\";\"0.8\";\"88\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.08.2014 19:00;\"18.9\";\"651.1\";\"763.3\";\"0.5\";\"87\";\"Viento procedente del 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"['10.08.2014 13:00;\"27.0\";\"652.0\";\"761.0\";\"0.1\";\"58\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.1\";\"27.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.08.2014 10:00;\"21.4\";\"651.9\";\"763.2\";\"1.1\";\"81\";\"Viento procedente del sur-oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.08.2014 07:00;\"15.1\";\"650.8\";\"764.5\";\"0.1\";\"94\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.1\";\"27.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.08.2014 04:00;\"16.3\";\"650.7\";\"763.9\";\"-1.2\";\"96\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.08.2014 01:00;\"18.3\";\"651.9\";\"764.5\";\"\";\"93\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.8\";\"27.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.2\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.08.2014 19:00;\"22.7\";\"649.7\";\"760.2\";\"-0.8\";\"83\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.8\";\"27.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.08.2014 16:00;\"26.6\";\"650.5\";\"759.4\";\"-1.0\";\"56\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.08.2014 13:00;\"26.5\";\"651.5\";\"760.7\";\"0.2\";\"52\";\"Viento procedente del estesureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.8\";\"27.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.08.2014 10:00;\"23.8\";\"651.3\";\"761.5\";\"0.3\";\"53\";\"Viento procedente del noroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.08.2014 07:00;\"16.1\";\"651.0\";\"764.3\";\"0.6\";\"96\";\"Viento procedente del sursuroeste\";\"1\";\"\";\"\";\"\";\" 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"['06.08.2014 22:00;\"18.1\";\"652.7\";\"765.5\";\"1.6\";\"99\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.9\";\"6.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.08.2014 19:00;\"20.9\";\"651.1\";\"762.4\";\"\";\"86\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.7\";\"27.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.08.2014 13:00;\"26.0\";\"652.3\";\"761.9\";\"-0.3\";\"49\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.7\";\"26.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.08.2014 10:00;\"21.1\";\"652.6\";\"764.2\";\"1.0\";\"62\";\"Viento procedente del 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16:00;\"25.9\";\"650.5\";\"759.9\";\"-1.4\";\"58\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.08.2014 13:00;\"24.2\";\"651.9\";\"762.1\";\"\";\"62\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.8\";\"25.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.08.2014 07:00;\"13.9\";\"650.8\";\"765.0\";\"0.0\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.9\";\"28.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.08.2014 04:00;\"14.6\";\"650.8\";\"764.7\";\"-1.0\";\"98\";\"Viento procedente del 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.08.2014 07:00;\"14.0\";\"651.1\";\"765.3\";\"0.5\";\"88\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.9\";\"28.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.08.2014 04:00;\"15.0\";\"650.6\";\"764.4\";\"-1.1\";\"92\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.08.2014 01:00;\"15.9\";\"651.7\";\"765.2\";\"0.1\";\"93\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.9\";\"28.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.8\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.08.2014 22:00;\"17.8\";\"651.6\";\"764.3\";\"1.3\";\"92\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.08.2014 19:00;\"23.4\";\"650.3\";\"760.5\";\"0.0\";\"69\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.9\";\"28.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.3\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.08.2014 16:00;\"20.9\";\"650.3\";\"761.5\";\"-0.8\";\"86\";\"Viento procedente del nornoreste\";\"4\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.08.2014 13:00;\"26.5\";\"651.1\";\"760.2\";\"-0.4\";\"50\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.9\";\"27.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.08.2014 10:00;\"23.3\";\"651.5\";\"762.0\";\"0.9\";\"60\";\"Viento procedente del norte\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.08.2014 07:00;\"15.3\";\"650.6\";\"764.2\";\"-0.2\";\"94\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.3\";\"29.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.08.2014 04:00;\"17.6\";\"650.8\";\"763.5\";\"-0.7\";\"94\";\"Viento 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16:00;\"27.1\";\"651.2\";\"760.1\";\"-1.1\";\"58\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.07.2014 13:00;\"25.8\";\"652.3\";\"761.8\";\"-0.6\";\"53\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.8\";\"25.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.07.2014 10:00;\"20.7\";\"652.9\";\"764.7\";\"0.6\";\"73\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.07.2014 07:00;\"15.0\";\"652.3\";\"766.4\";\"-0.3\";\"92\";\"Viento procedente del 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arena movidiza)\";\"\";\"\";\"\";']\n", + "['29.07.2014 01:00;\"14.6\";\"653.5\";\"768.0\";\"0.4\";\"96\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.7\";\"27.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.0\";\"0.8\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.07.2014 22:00;\"15.6\";\"653.1\";\"767.0\";\"0.6\";\"96\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.0\";\"0.8\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.07.2014 19:00;\"16.0\";\"652.5\";\"766.1\";\"0.0\";\"96\";\"Viento procedente del oestenoroeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.7\";\"27.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.3\";\"12.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.07.2014 16:00;\"24.9\";\"652.5\";\"762.4\";\"-1.3\";\"66\";\"Viento procedente del este\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.07.2014 13:00;\"26.0\";\"653.8\";\"763.6\";\"0.1\";\"53\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.7\";\"26.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.07.2014 10:00;\"23.1\";\"653.7\";\"764.6\";\"0.9\";\"57\";\"Viento procedente del nornoreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.07.2014 07:00;\"13.9\";\"652.8\";\"767.4\";\"0.5\";\"88\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" 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16:00;\"24.8\";\"652.0\";\"762.1\";\"-1.1\";\"59\";\"Viento procedente del sur\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.07.2014 13:00;\"23.8\";\"653.1\";\"763.6\";\"0.5\";\"52\";\"Viento procedente del sursuroeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.1\";\"24.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.07.2014 10:00;\"22.2\";\"652.6\";\"763.8\";\"0.7\";\"64\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.07.2014 07:00;\"14.4\";\"651.9\";\"766.1\";\"0.1\";\"95\";\"Viento procedente del 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arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.07.2014 19:00;\"21.3\";\"650.5\";\"761.7\";\"-0.6\";\"82\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.6\";\"26.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.07.2014 16:00;\"24.2\";\"651.1\";\"761.1\";\"-0.9\";\"63\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.07.2014 13:00;\"22.4\";\"652.0\";\"763.0\";\"-0.1\";\"57\";\"Viento procedente del sursureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.6\";\"23.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.07.2014 10:00;\"19.7\";\"652.1\";\"764.2\";\"-0.8\";\"74\";\"Viento procedente del oestenoroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.9\";\"2.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.07.2014 07:00;\"14.7\";\"652.9\";\"767.2\";\"1.8\";\"97\";\"Viento procedente del estesureste\";\"5\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.7\";\"27.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.3\";\"2.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.07.2014 04:00;\"15.1\";\"651.1\";\"765.0\";\"-1.0\";\"91\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.07.2014 01:00;\"16.3\";\"652.1\";\"765.6\";\"0.1\";\"90\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.07.2014 13:00;\"25.8\";\"652.2\";\"761.8\";\"0.0\";\"61\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.0\";\"26.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.07.2014 10:00;\"20.9\";\"652.2\";\"763.7\";\"0.4\";\"69\";\"Viento procedente del estenoreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.07.2014 07:00;\"16.6\";\"651.8\";\"765.1\";\"-0.6\";\"86\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.0\";\"27.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.07.2014 04:00;\"17.8\";\"652.4\";\"765.3\";\"-0.4\";\"91\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.07.2014 01:00;\"17.8\";\"652.8\";\"765.8\";\"\";\"98\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.8\";\"27.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.5\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.07.2014 19:00;\"23.4\";\"651.1\";\"761.5\";\"-0.4\";\"74\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.8\";\"27.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.07.2014 16:00;\"26.9\";\"651.5\";\"760.6\";\"-0.9\";\"56\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.07.2014 13:00;\"26.0\";\"652.4\";\"761.9\";\"0.3\";\"58\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.8\";\"26.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.07.2014 10:00;\"23.0\";\"652.1\";\"762.9\";\"0.7\";\"67\";\"Viento procedente del nornoroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.07.2014 07:00;\"15.9\";\"651.4\";\"765.0\";\"0.1\";\"93\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.9\";\"28.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.07.2014 04:00;\"16.7\";\"651.3\";\"764.5\";\"-1.2\";\"97\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.07.2014 01:00;\"19.5\";\"652.5\";\"764.7\";\"0.6\";\"88\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.6\";\"28.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.5\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.07.2014 22:00;\"20.7\";\"651.9\";\"763.4\";\"0.8\";\"85\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" 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22:00;\"20.2\";\"652.1\";\"763.9\";\"1.4\";\"98\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.07.2014 19:00;\"24.2\";\"650.7\";\"760.6\";\"0.2\";\"82\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.7\";\"30.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"21.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.07.2014 16:00;\"27.9\";\"650.5\";\"759.0\";\"-0.5\";\"64\";\"Viento procedente del estesureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"20.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.07.2014 13:00;\"28.4\";\"651.0\";\"759.4\";\"-0.8\";\"59\";\"Viento procedente del 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07:00;\"16.9\";\"649.9\";\"762.7\";\"0.1\";\"93\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.07.2014 04:00;\"18.5\";\"649.8\";\"762.0\";\"-0.7\";\"83\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.07.2014 01:00;\"18.1\";\"650.5\";\"762.9\";\"0.6\";\"89\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.5\";\"29.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.2\";\"0.2\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['17.07.2014 22:00;\"19.3\";\"649.9\";\"761.8\";\"\";\"91\";\"Viento procedente del 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07:00;\"13.4\";\"652.3\";\"767.0\";\"-0.1\";\"98\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.4\";\"24.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.07.2014 04:00;\"14.3\";\"652.4\";\"766.8\";\"-0.8\";\"98\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.07.2014 01:00;\"15.2\";\"653.2\";\"767.4\";\"0.3\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.3\";\"24.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.1\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['13.07.2014 22:00;\"16.8\";\"652.9\";\"766.3\";\"1.6\";\"98\";\"Viento procedente del 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16:00;\"22.7\";\"652.6\";\"763.5\";\"-0.3\";\"66\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.07.2014 13:00;\"22.5\";\"652.9\";\"764.0\";\"-1.2\";\"67\";\"Viento procedente del estenoreste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.4\";\"22.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.1\";\"0.4\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.07.2014 10:00;\"15.8\";\"654.1\";\"768.1\";\"1.5\";\"96\";\"Viento procedente del norte\";\"4\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.2\";\"4.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.07.2014 07:00;\"15.5\";\"652.6\";\"766.4\";\"0.4\";\"79\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" 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visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.07.2014 22:00;\"18.0\";\"651.4\";\"764.1\";\"1.2\";\"98\";\"Viento procedente del sursureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.07.2014 19:00;\"22.7\";\"650.2\";\"760.8\";\"-0.1\";\"78\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"21.7\";\"26.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.07.2014 16:00;\"25.6\";\"650.3\";\"759.7\";\"-1.2\";\"65\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.07.2014 13:00;\"25.4\";\"651.5\";\"761.2\";\"\";\"62\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"22.6\";\"25.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.6\";\"\";\"\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['27.05.2014 19:00;\"22.1\";\"648.1\";\"758.5\";\"\";\"89\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.3\";\"26.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"20.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.05.2014 04:00;\"17.0\";\"649.5\";\"762.2\";\"-1.0\";\"99\";\"Viento procedente del oeste\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.05.2014 01:00;\"17.4\";\"650.5\";\"763.2\";\"-0.2\";\"99\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.5\";\"26.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.2\";\"5.0\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.05.2014 22:00;\"17.9\";\"650.7\";\"763.2\";\"1.4\";\"99\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.7\";\"5.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.05.2014 19:00;\"19.6\";\"649.3\";\"761.0\";\"-0.2\";\"93\";\"Viento procedente del sudeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.5\";\"26.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.05.2014 16:00;\"22.1\";\"649.5\";\"760.1\";\"\";\"79\";\"Viento procedente del estesureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.2\";\"Sin 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10:00;\"21.2\";\"651.4\";\"762.7\";\"0.6\";\"73\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.05.2014 07:00;\"16.5\";\"650.8\";\"763.9\";\"0.2\";\"98\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.05.2014 04:00;\"16.2\";\"650.6\";\"763.9\";\"-1.0\";\"98\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.9\";\"0.8\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.05.2014 01:00;\"16.6\";\"651.6\";\"764.8\";\"0.5\";\"96\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" 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19:00;\"18.7\";\"650.4\";\"762.5\";\"0.1\";\"84\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.4\";\"25.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.05.2014 16:00;\"22.7\";\"650.3\";\"760.8\";\"-0.8\";\"62\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.05.2014 13:00;\"23.4\";\"651.1\";\"761.5\";\"-0.3\";\"55\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.4\";\"24.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.05.2014 10:00;\"21.0\";\"651.4\";\"762.7\";\"\";\"64\";\"Viento procedente del estenoreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.05.2014 01:00;\"16.2\";\"651.5\";\"764.9\";\"0.3\";\"88\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.0\";\"24.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.2\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.05.2014 22:00;\"16.2\";\"651.2\";\"764.5\";\"1.0\";\"97\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.05.2014 19:00;\"18.9\";\"650.2\";\"762.2\";\"\";\"86\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" 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16:00;\"18.3\";\"652.8\";\"765.6\";\"-1.3\";\"67\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.05.2014 13:00;\"19.9\";\"654.1\";\"766.3\";\"-0.3\";\"57\";\"Viento procedente del estesureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"10.2\";\"20.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.05.2014 10:00;\"17.6\";\"654.4\";\"767.7\";\"0.6\";\"59\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.05.2014 07:00;\"11.4\";\"653.8\";\"769.6\";\"0.2\";\"94\";\"Viento procedente del 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16:00;\"26.6\";\"646.1\";\"754.4\";\"-1.0\";\"58\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.05.2014 13:00;\"27.9\";\"647.1\";\"755.0\";\"-0.7\";\"47\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.9\";\"29.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.05.2014 10:00;\"24.4\";\"647.8\";\"757.3\";\"0.7\";\"64\";\"Viento procedente del noreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.05.2014 07:00;\"17.2\";\"647.1\";\"759.4\";\"\";\"91\";\"Viento procedente del 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22:00;\"19.3\";\"647.7\";\"759.1\";\"0.7\";\"95\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.05.2014 19:00;\"23.3\";\"647.0\";\"756.7\";\"-0.2\";\"71\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"29.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.05.2014 16:00;\"28.5\";\"647.2\";\"754.9\";\"-1.1\";\"41\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.05.2014 13:00;\"26.6\";\"648.3\";\"756.9\";\"-0.5\";\"45\";\"Viento procedente del 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19:00;\"14.2\";\"652.1\";\"766.5\";\"-0.5\";\"97\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.8\";\"16.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.7\";\"0.4\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.05.2014 16:00;\"14.9\";\"652.6\";\"766.7\";\"-0.6\";\"96\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.2\";\"3.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.05.2014 13:00;\"15.9\";\"653.2\";\"767.0\";\"0.6\";\"94\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.8\";\"16.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.9\";\"3.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.05.2014 10:00;\"14.8\";\"652.6\";\"766.8\";\"1.2\";\"92\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" 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' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.05.2014 19:00;\"15.6\";\"649.2\";\"762.4\";\"\";\"97\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.8\";\"18.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.1\";\"2.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.05.2014 13:00;\"17.6\";\"649.6\";\"762.1\";\"0.0\";\"90\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.8\";\"18.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.05.2014 10:00;\"16.5\";\"649.6\";\"762.5\";\"1.5\";\"96\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.8\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.05.2014 07:00;\"15.2\";\"648.1\";\"761.4\";\"-0.4\";\"99\";\"Viento 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16:00;\"25.6\";\"648.1\";\"757.1\";\"\";\"52\";\"Viento procedente del nornoroeste\";\"4\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.04.2014 07:00;\"17.7\";\"647.5\";\"759.6\";\"0.7\";\"90\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.7\";\"32.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.04.2014 04:00;\"23.3\";\"646.8\";\"756.4\";\"-0.4\";\"58\";\"Viento procedente del oestenoroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.04.2014 01:00;\"21.1\";\"647.2\";\"757.9\";\"0.9\";\"62\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"18.1\";\"32.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.4\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['29.04.2014 22:00;\"21.7\";\"646.3\";\"756.6\";\"1.2\";\"58\";\"Viento procedente del sursuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['29.04.2014 19:00;\"23.2\";\"645.1\";\"754.5\";\"0.3\";\"51\";\"Viento procedente del oestesuroeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"18.1\";\"32.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['29.04.2014 16:00;\"30.0\";\"644.8\";\"751.6\";\"-1.1\";\"44\";\"Viento procedente del sudeste\";\"1\";\"\";\"\";\"\";\" 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['29.04.2014 04:00;\"19.6\";\"645.2\";\"756.1\";\"\";\"69\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.04.2014 19:00;\"23.0\";\"645.1\";\"754.6\";\"0.0\";\"60\";\"Viento procedente del oeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.8\";\"34.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.04.2014 16:00;\"29.3\";\"645.1\";\"752.1\";\"-0.8\";\"46\";\"Viento procedente del estenoreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena 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04:00;\"17.8\";\"640.7\";\"751.6\";\"-5.3\";\"75\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.04.2014 01:00;\"18.5\";\"646.0\";\"757.4\";\"-0.2\";\"88\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.8\";\"33.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.4\";\"6.0\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['27.04.2014 22:00;\"18.5\";\"646.2\";\"757.8\";\"\";\"90\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.8\";\"6.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['27.04.2014 16:00;\"29.9\";\"644.8\";\"751.6\";\"-1.3\";\"50\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.04.2014 04:00;\"17.8\";\"649.1\";\"761.5\";\"-1.2\";\"83\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.04.2014 01:00;\"19.1\";\"650.3\";\"762.3\";\"\";\"80\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.3\";\"30.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.5\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.04.2014 19:00;\"22.9\";\"649.0\";\"759.2\";\"0.5\";\"76\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.3\";\"30.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.04.2014 16:00;\"27.0\";\"648.5\";\"757.0\";\"-1.3\";\"56\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.04.2014 13:00;\"29.0\";\"649.8\";\"757.7\";\"-0.3\";\"48\";\"Viento procedente del sursuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.3\";\"29.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.04.2014 10:00;\"25.4\";\"650.1\";\"759.4\";\"\";\"59\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.04.2014 04:00;\"20.0\";\"647.6\";\"758.8\";\"-1.2\";\"60\";\"Viento procedente del noreste\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.04.2014 01:00;\"21.5\";\"648.8\";\"759.6\";\"\";\"55\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.3\";\"31.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.0\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.04.2014 19:00;\"24.9\";\"647.4\";\"756.5\";\"-0.1\";\"70\";\"Viento procedente del sursuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.3\";\"31.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.04.2014 16:00;\"28.6\";\"647.5\";\"755.2\";\"-1.0\";\"49\";\"Viento procedente del sur\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.04.2014 13:00;\"30.2\";\"648.5\";\"755.8\";\"-0.6\";\"35\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.3\";\"31.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.04.2014 10:00;\"24.4\";\"649.1\";\"758.8\";\"1.4\";\"47\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.04.2014 07:00;\"14.3\";\"647.7\";\"761.2\";\"0.5\";\"97\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" 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o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.04.2014 19:00;\"20.9\";\"647.9\";\"758.7\";\"0.5\";\"88\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.6\";\"27.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.04.2014 16:00;\"26.4\";\"647.4\";\"756.0\";\"-1.8\";\"52\";\"Viento procedente del sursureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.04.2014 13:00;\"25.5\";\"649.2\";\"758.4\";\"-0.6\";\"54\";\"Viento procedente del sur\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.6\";\"26.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.04.2014 10:00;\"21.6\";\"649.8\";\"760.7\";\"0.5\";\"67\";\"Viento procedente del noroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.04.2014 07:00;\"16.4\";\"649.3\";\"762.1\";\"-0.3\";\"91\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"16.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.04.2014 04:00;\"16.3\";\"649.6\";\"762.7\";\"-0.9\";\"90\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.04.2014 01:00;\"16.9\";\"650.5\";\"763.4\";\"0.5\";\"99\";\"Viento procedente del 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10:00;\"21.5\";\"651.5\";\"762.7\";\"0.6\";\"65\";\"Viento procedente del estesureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.04.2014 07:00;\"12.5\";\"650.9\";\"765.8\";\"0.1\";\"99\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.5\";\"24.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.3\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.04.2014 04:00;\"13.9\";\"650.8\";\"765.1\";\"-1.1\";\"99\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.04.2014 01:00;\"16.3\";\"651.9\";\"765.3\";\"0.2\";\"99\";\"Viento procedente del 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07:00;\"16.1\";\"651.7\";\"765.1\";\"\";\"89\";\"Viento procedente del sursuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.04.2014 01:00;\"15.7\";\"652.5\";\"766.3\";\"\";\"98\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.0\";\"27.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.4\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.04.2014 19:00;\"19.0\";\"651.0\";\"763.1\";\"0.2\";\"80\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.0\";\"27.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.04.2014 16:00;\"22.5\";\"650.8\";\"761.5\";\"-0.9\";\"60\";\"Viento procedente del 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10:00;\"12.0\";\"650.8\";\"765.9\";\"1.1\";\"88\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.1\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.04.2014 07:00;\"9.5\";\"649.7\";\"765.7\";\"-0.8\";\"99\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"9.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.04.2014 04:00;\"9.4\";\"650.5\";\"766.6\";\"-1.7\";\"97\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.04.2014 01:00;\"9.7\";\"652.2\";\"768.6\";\"\";\"95\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" 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16:00;\"32.3\";\"644.5\";\"750.4\";\"-1.2\";\"37\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.04.2014 13:00;\"31.6\";\"645.7\";\"752.0\";\"0.0\";\"35\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.9\";\"32.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.04.2014 10:00;\"27.3\";\"645.7\";\"753.6\";\"0.7\";\"38\";\"Viento procedente del sudeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.04.2014 07:00;\"17.2\";\"645.0\";\"756.9\";\"-0.3\";\"71\";\"Viento procedente del 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arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.04.2014 16:00;\"27.0\";\"648.4\";\"757.0\";\"-1.4\";\"41\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.04.2014 13:00;\"25.0\";\"649.8\";\"759.4\";\"-0.5\";\"42\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"9.7\";\"25.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.04.2014 10:00;\"20.6\";\"650.3\";\"761.7\";\"1.0\";\"52\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.04.2014 07:00;\"10.3\";\"649.3\";\"764.9\";\"0.2\";\"64\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"9.7\";\"27.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"3.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.04.2014 04:00;\"10.4\";\"649.1\";\"764.6\";\"-1.3\";\"88\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.04.2014 01:00;\"13.4\";\"650.4\";\"764.8\";\"\";\"94\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"10.1\";\"27.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.5\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.04.2014 19:00;\"22.0\";\"649.7\";\"760.4\";\"0.2\";\"54\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"10.1\";\"27.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.04.2014 16:00;\"26.5\";\"649.5\";\"758.3\";\"-1.3\";\"35\";\"Viento procedente del este\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.04.2014 13:00;\"23.5\";\"650.8\";\"761.1\";\"-0.1\";\"38\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"10.1\";\"24.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.04.2014 10:00;\"21.2\";\"650.9\";\"762.1\";\"0.7\";\"30\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.04.2014 10:00;\"16.8\";\"653.3\";\"766.8\";\"0.5\";\"36\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"1.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.04.2014 07:00;\"7.0\";\"652.8\";\"770.5\";\"-0.1\";\"80\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"6.9\";\"22.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"3.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.04.2014 04:00;\"8.0\";\"652.9\";\"770.1\";\"-1.8\";\"87\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"5.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena 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16:00;\"21.8\";\"654.1\";\"765.7\";\"-2.0\";\"43\";\"Viento procedente del estesureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.04.2014 13:00;\"21.3\";\"656.1\";\"768.2\";\"-0.5\";\"38\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"8.5\";\"21.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"6.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.04.2014 10:00;\"15.0\";\"656.6\";\"771.4\";\"1.0\";\"70\";\"Viento procedente del sursuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.04.2014 07:00;\"8.7\";\"655.6\";\"772.9\";\"0.3\";\"95\";\"Viento procedente del 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['08.04.2014 10:00;\"17.4\";\"652.4\";\"765.4\";\"1.8\";\"57\";\"Viento procedente del nornoroeste\";\"7\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['08.04.2014 07:00;\"17.1\";\"650.6\";\"763.5\";\"1.3\";\"99\";\"Viento procedente del noreste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.0\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['08.04.2014 04:00;\"18.1\";\"649.3\";\"761.5\";\"0.1\";\"99\";\"Viento procedente del estenoreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.9\";\"0.6\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['08.04.2014 01:00;\"19.4\";\"649.2\";\"760.9\";\"0.8\";\"95\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.5\";\"27.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.6\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['07.04.2014 22:00;\"19.9\";\"648.4\";\"759.8\";\"1.7\";\"91\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['07.04.2014 19:00;\"21.3\";\"646.7\";\"757.3\";\"0.7\";\"84\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.5\";\"27.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['07.04.2014 16:00;\"25.9\";\"646.0\";\"754.6\";\"-0.9\";\"61\";\"Viento procedente del 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.04.2014 16:00;\"30.1\";\"643.9\";\"750.4\";\"-2.1\";\"44\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.04.2014 13:00;\"27.8\";\"646.0\";\"753.8\";\"-0.9\";\"51\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.2\";\"27.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.04.2014 10:00;\"23.0\";\"646.9\";\"756.7\";\"0.5\";\"69\";\"Viento procedente del estesureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.04.2014 07:00;\"15.7\";\"646.4\";\"759.1\";\"-0.1\";\"89\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.3\";\"27.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.04.2014 04:00;\"15.8\";\"646.5\";\"759.2\";\"-1.1\";\"89\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.04.2014 01:00;\"17.1\";\"647.6\";\"760.0\";\"0.3\";\"96\";\"Viento procedente del oestenoroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.0\";\"27.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.5\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.04.2014 22:00;\"19.4\";\"647.3\";\"758.6\";\"0.5\";\"96\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.04.2014 19:00;\"22.5\";\"646.8\";\"756.8\";\"-0.6\";\"79\";\"Viento procedente del sur-oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.1\";\"27.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.04.2014 16:00;\"22.0\";\"647.4\";\"757.6\";\"-1.5\";\"82\";\"Viento procedente del sursureste\";\"4\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.04.2014 13:00;\"26.1\";\"648.9\";\"757.8\";\"-0.7\";\"57\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.1\";\"26.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.04.2014 10:00;\"21.1\";\"649.6\";\"760.6\";\"0.9\";\"78\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.04.2014 07:00;\"17.3\";\"648.7\";\"761.2\";\"0.0\";\"98\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.1\";\"32.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.04.2014 04:00;\"19.0\";\"648.7\";\"760.5\";\"-0.8\";\"92\";\"Viento procedente del norte\";\"1\";\"\";\"\";\"\";\" 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.04.2014 16:00;\"28.2\";\"647.4\";\"755.2\";\"-0.7\";\"48\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.04.2014 13:00;\"32.2\";\"648.1\";\"754.6\";\"0.2\";\"30\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.5\";\"32.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.04.2014 10:00;\"28.1\";\"647.9\";\"755.9\";\"1.3\";\"32\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena 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22:00;\"21.4\";\"647.7\";\"758.3\";\"1.1\";\"90\";\"Viento procedente del oestenoroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.04.2014 19:00;\"24.9\";\"646.6\";\"755.7\";\"0.3\";\"69\";\"Viento procedente del sursureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.2\";\"30.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.04.2014 16:00;\"28.1\";\"646.3\";\"754.0\";\"-1.1\";\"52\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.04.2014 13:00;\"28.8\";\"647.4\";\"755.0\";\"-0.3\";\"52\";\"Viento procedente 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22:00;\"18.8\";\"649.8\";\"761.8\";\"0.7\";\"94\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.04.2014 19:00;\"24.5\";\"649.1\";\"758.7\";\"0.1\";\"69\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.4\";\"29.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.04.2014 16:00;\"28.7\";\"649.0\";\"757.0\";\"-1.3\";\"44\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.04.2014 13:00;\"26.5\";\"650.3\";\"759.4\";\"-0.2\";\"49\";\"Viento procedente del 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"['30.03.2014 22:00;\"15.4\";\"651.0\";\"764.6\";\"-0.7\";\"96\";\"Viento procedente del sur-oeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.7\";\"5.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.03.2014 19:00;\"16.0\";\"651.7\";\"765.1\";\"0.0\";\"99\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.5\";\"22.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.8\";\"18.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.03.2014 16:00;\"19.6\";\"651.7\";\"763.7\";\"-1.5\";\"76\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.03.2014 13:00;\"20.0\";\"653.2\";\"765.3\";\"0.0\";\"76\";\"Viento procedente del sur-oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.5\";\"22.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.03.2014 10:00;\"21.7\";\"653.2\";\"764.7\";\"0.9\";\"67\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.2\";\"2.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.03.2014 07:00;\"15.8\";\"652.3\";\"766.0\";\"0.3\";\"95\";\"Viento procedente del norte\";\"4\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.0\";\"2.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.03.2014 04:00;\"16.3\";\"652.0\";\"765.5\";\"-1.0\";\"97\";\"Viento procedente del estenoreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.8\";\"Sin 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12:00;\"28.0\";\"651.4\";\"760.0\";\"0.0\";\"44\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.9\";\"28.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['29.03.2014 09:00;\"23.0\";\"651.4\";\"762.1\";\"1.5\";\"57\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['29.03.2014 06:00;\"15.8\";\"649.9\";\"763.2\";\"0.7\";\"65\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['29.03.2014 03:00;\"17.8\";\"649.2\";\"761.5\";\"-1.0\";\"65\";\"Viento procedente del 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15:00;\"18.7\";\"649.9\";\"762.1\";\"-1.7\";\"87\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.03.2014 12:00;\"20.1\";\"651.6\";\"763.4\";\"-0.4\";\"72\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.3\";\"20.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.03.2014 09:00;\"17.1\";\"652.0\";\"765.1\";\"1.3\";\"90\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.03.2014 06:00;\"14.9\";\"650.7\";\"764.5\";\"-0.1\";\"97\";\"Viento procedente del 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18:00;\"20.4\";\"649.0\";\"760.2\";\"0.0\";\"89\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.3\";\"26.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.03.2014 15:00;\"23.2\";\"649.0\";\"759.2\";\"-1.8\";\"74\";\"Viento procedente del estesureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.03.2014 12:00;\"25.6\";\"650.8\";\"760.3\";\"-1.0\";\"58\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.3\";\"25.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.03.2014 09:00;\"20.2\";\"651.8\";\"763.6\";\"0.9\";\"79\";\"Viento procedente del sursuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.03.2014 06:00;\"17.8\";\"650.9\";\"763.6\";\"0.1\";\"92\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"17.5\";\"30.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.03.2014 03:00;\"18.3\";\"650.8\";\"763.3\";\"-0.9\";\"92\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['24.03.2014 00:00;\"20.6\";\"651.7\";\"763.3\";\"0.6\";\"88\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.03.2014 12:00;\"28.1\";\"651.1\";\"759.5\";\"-0.3\";\"45\";\"Viento procedente del sur-oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.8\";\"28.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.03.2014 09:00;\"22.2\";\"651.4\";\"762.2\";\"0.8\";\"71\";\"Viento procedente del sur-oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.03.2014 06:00;\"15.4\";\"650.6\";\"764.2\";\"0.5\";\"91\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.8\";\"30.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o 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18:00;\"25.1\";\"648.7\";\"757.9\";\"\";\"71\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.4\";\"30.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"19.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.03.2014 03:00;\"15.0\";\"648.6\";\"762.0\";\"-1.2\";\"97\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.03.2014 00:00;\"18.6\";\"649.8\";\"761.9\";\"\";\"95\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.4\";\"27.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.8\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.03.2014 18:00;\"21.8\";\"648.7\";\"759.3\";\"\";\"78\";\"Viento procedente del 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18:00;\"22.9\";\"648.5\";\"758.7\";\"0.2\";\"71\";\"Viento procedente del sudeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.2\";\"29.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.03.2014 15:00;\"28.4\";\"648.3\";\"756.2\";\"-0.9\";\"44\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.03.2014 12:00;\"26.8\";\"649.2\";\"757.9\";\"0.2\";\"46\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.2\";\"27.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.03.2014 09:00;\"23.1\";\"649.0\";\"759.1\";\"1.5\";\"46\";\"Viento 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arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.03.2014 03:00;\"7.1\";\"646.8\";\"763.3\";\"-1.6\";\"100\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"7.1\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.03.2014 00:00;\"7.9\";\"648.4\";\"764.8\";\"-0.5\";\"99\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"7.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"7.8\";\"0.2\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['17.03.2014 21:00;\"9.2\";\"648.9\";\"764.8\";\"0.2\";\"98\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.9\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['17.03.2014 18:00;\"9.5\";\"648.7\";\"764.5\";\"0.6\";\"99\";\"Viento procedente del 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21:00;\"19.8\";\"645.7\";\"756.7\";\"1.8\";\"68\";\"Viento procedente del noroeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.03.2014 18:00;\"23.4\";\"643.9\";\"753.0\";\"0.9\";\"68\";\"Viento procedente del estesureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.3\";\"31.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.03.2014 15:00;\"30.2\";\"643.0\";\"749.3\";\"-1.3\";\"43\";\"Viento procedente del estesureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.03.2014 12:00;\"28.4\";\"644.3\";\"751.6\";\"-0.4\";\"44\";\"Viento procedente del estesureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.3\";\"30.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.03.2014 09:00;\"26.8\";\"644.7\";\"752.7\";\"0.7\";\"34\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.03.2014 06:00;\"15.5\";\"644.0\";\"756.4\";\"-0.7\";\"71\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.4\";\"29.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.03.2014 03:00;\"16.4\";\"644.7\";\"756.8\";\"-1.9\";\"72\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" 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21:00;\"15.3\";\"649.6\";\"763.1\";\"0.8\";\"90\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.03.2014 18:00;\"21.2\";\"648.8\";\"759.7\";\"\";\"61\";\"Viento procedente del sursureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"8.1\";\"26.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.03.2014 12:00;\"21.3\";\"651.0\";\"762.1\";\"-0.5\";\"50\";\"Viento procedente del estesureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"8.1\";\"22.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.03.2014 09:00;\"17.3\";\"651.5\";\"764.5\";\"1.0\";\"57\";\"Viento 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"['12.03.2014 15:00;\"24.1\";\"648.4\";\"758.1\";\"-0.7\";\"63\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.03.2014 12:00;\"26.4\";\"649.1\";\"757.9\";\"0.5\";\"48\";\"Viento procedente del estenoreste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.7\";\"26.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.03.2014 09:00;\"23.6\";\"648.6\";\"758.5\";\"1.6\";\"50\";\"Viento procedente del nornoreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['12.03.2014 06:00;\"13.2\";\"647.0\";\"760.9\";\"0.5\";\"82\";\"Viento 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.03.2014 09:00;\"18.4\";\"648.1\";\"760.0\";\"0.8\";\"78\";\"Viento procedente del sudeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.03.2014 06:00;\"12.7\";\"647.3\";\"761.5\";\"-0.3\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.1\";\"21.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.6\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.03.2014 03:00;\"13.3\";\"647.6\";\"761.6\";\"-1.1\";\"99\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.03.2014 00:00;\"14.8\";\"648.7\";\"762.2\";\"-0.6\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.0\";\"21.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.7\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.03.2014 21:00;\"16.1\";\"649.3\";\"762.3\";\"\";\"99\";\"Viento procedente del sursuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.03.2014 15:00;\"20.0\";\"649.3\";\"760.7\";\"-2.1\";\"78\";\"Viento procedente del sur-oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.03.2014 12:00;\"20.4\";\"651.4\";\"763.1\";\"-0.9\";\"73\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.0\";\"21.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.03.2014 09:00;\"\";\"652.3\";\"766.0\";\"1.0\";\"\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.03.2014 06:00;\"14.4\";\"651.3\";\"765.4\";\"0.0\";\"98\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.0\";\"25.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.03.2014 03:00;\"14.3\";\"651.3\";\"765.5\";\"-1.2\";\"99\";\"Viento procedente del 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"['09.03.2014 06:00;\"15.2\";\"650.2\";\"763.9\";\"0.6\";\"77\";\"Viento procedente del norte\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.0\";\"27.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.03.2014 03:00;\"15.9\";\"649.6\";\"762.8\";\"-0.7\";\"71\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.03.2014 00:00;\"17.3\";\"650.3\";\"763.0\";\"0.5\";\"66\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.3\";\"27.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.8\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['08.03.2014 21:00;\"18.2\";\"649.8\";\"762.1\";\"1.4\";\"87\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['08.03.2014 18:00;\"22.7\";\"648.4\";\"758.7\";\"0.3\";\"64\";\"Viento procedente del sursuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.3\";\"27.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['08.03.2014 15:00;\"23.3\";\"648.1\";\"757.9\";\"-0.7\";\"64\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['08.03.2014 12:00;\"24.1\";\"648.8\";\"758.5\";\"-0.1\";\"61\";\"Viento procedente del 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' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['07.03.2014 15:00;\"19.7\";\"648.3\";\"759.7\";\"-2.0\";\"68\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['07.03.2014 12:00;\"18.6\";\"650.3\";\"762.5\";\"-0.7\";\"71\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.6\";\"18.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['07.03.2014 09:00;\"15.0\";\"651.0\";\"764.8\";\"0.8\";\"87\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['07.03.2014 06:00;\"12.8\";\"650.2\";\"764.8\";\"-0.1\";\"97\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['07.03.2014 03:00;\"13.0\";\"650.3\";\"764.9\";\"-1.4\";\"94\";\"Viento procedente del sursuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.0\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['07.03.2014 00:00;\"13.2\";\"651.7\";\"766.4\";\"-0.3\";\"99\";\"Viento procedente del sursuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.9\";\"22.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.0\";\"2.0\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.03.2014 21:00;\"13.6\";\"652.0\";\"766.6\";\"1.1\";\"94\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.03.2014 09:00;\"15.8\";\"651.4\";\"764.9\";\"1.8\";\"82\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.03.2014 06:00;\"14.2\";\"649.6\";\"763.6\";\"0.9\";\"97\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.9\";\"19.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.03.2014 03:00;\"13.1\";\"648.7\";\"763.0\";\"-0.7\";\"94\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.03.2014 00:00;\"13.3\";\"649.4\";\"763.7\";\"\";\"96\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.1\";\"19.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.7\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.03.2014 18:00;\"17.6\";\"646.8\";\"758.8\";\"0.3\";\"79\";\"Viento procedente del estesureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.1\";\"19.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.03.2014 15:00;\"16.8\";\"646.5\";\"758.8\";\"-1.3\";\"82\";\"Viento procedente del sudeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.03.2014 12:00;\"16.3\";\"647.8\";\"760.6\";\"0.0\";\"84\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.1\";\"17.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.03.2014 09:00;\"15.3\";\"647.8\";\"761.0\";\"0.7\";\"86\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.03.2014 06:00;\"12.1\";\"647.1\";\"761.5\";\"-0.3\";\"99\";\"Viento procedente del oestenoroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.3\";\"17.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.03.2014 03:00;\"12.0\";\"647.4\";\"761.9\";\"-1.3\";\"99\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.9\";\"0.2\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.03.2014 00:00;\"13.9\";\"648.7\";\"762.6\";\"-0.1\";\"97\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.3\";\"17.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.4\";\"0.4\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.03.2014 21:00;\"13.5\";\"648.8\";\"762.9\";\"1.1\";\"99\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.4\";\"0.4\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.03.2014 18:00;\"13.7\";\"647.7\";\"761.5\";\"0.2\";\"98\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.7\";\"17.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.4\";\"0.4\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.03.2014 15:00;\"14.6\";\"647.5\";\"760.9\";\"-1.7\";\"98\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.03.2014 12:00;\"17.1\";\"649.2\";\"761.8\";\"-0.5\";\"82\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.3\";\"17.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.03.2014 09:00;\"15.0\";\"649.7\";\"763.3\";\"0.5\";\"93\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.03.2014 06:00;\"14.7\";\"649.2\";\"762.8\";\"-0.4\";\"94\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.7\";\"24.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.03.2014 03:00;\"15.4\";\"649.6\";\"763.1\";\"-1.2\";\"94\";\"Viento procedente del sur-oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.03.2014 00:00;\"15.9\";\"650.8\";\"764.2\";\"0.3\";\"94\";\"Viento procedente del sursuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.6\";\"24.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.0\";\"0.2\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.03.2014 21:00;\"17.1\";\"650.5\";\"763.3\";\"1.7\";\"90\";\"Viento procedente del 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12:00;\"25.9\";\"651.1\";\"760.4\";\"0.5\";\"52\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.0\";\"25.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.03.2014 09:00;\"21.9\";\"650.6\";\"761.5\";\"1.3\";\"53\";\"Viento procedente del estesureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.03.2014 06:00;\"14.4\";\"649.3\";\"763.1\";\"0.3\";\"64\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.0\";\"24.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"7.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.03.2014 03:00;\"13.7\";\"649.0\";\"763.0\";\"-0.8\";\"84\";\"Viento procedente 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noreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.4\";\"7.0\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['27.02.2014 00:00;\"17.9\";\"649.3\";\"761.5\";\"0.6\";\"97\";\"Viento procedente del estenoreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.4\";\"29.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"17.4\";\"0.2\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.02.2014 21:00;\"19.3\";\"648.7\";\"760.4\";\"1.6\";\"95\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.02.2014 18:00;\"21.5\";\"647.1\";\"757.6\";\"0.5\";\"82\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.4\";\"29.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"18.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.02.2014 15:00;\"28.3\";\"646.6\";\"754.3\";\"\";\"50\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.02.2014 03:00;\"14.5\";\"647.6\";\"761.1\";\"-1.4\";\"94\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.02.2014 00:00;\"16.2\";\"649.0\";\"762.0\";\"\";\"97\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.3\";\"26.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.8\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena 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09:00;\"19.5\";\"650.3\";\"762.1\";\"0.9\";\"70\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.02.2014 06:00;\"15.5\";\"649.4\";\"762.8\";\"-0.3\";\"96\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"15.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.02.2014 03:00;\"16.4\";\"649.7\";\"762.7\";\"-1.0\";\"89\";\"Viento procedente del estenoreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.02.2014 00:00;\"17.2\";\"650.7\";\"763.6\";\"0.3\";\"94\";\"Viento procedente del 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06:00;\"13.6\";\"648.4\";\"762.4\";\"0.3\";\"87\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.6\";\"26.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.02.2014 03:00;\"14.2\";\"648.1\";\"761.8\";\"-1.2\";\"93\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['23.02.2014 00:00;\"15.8\";\"649.3\";\"762.4\";\"0.3\";\"95\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.7\";\"26.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.0\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.02.2014 21:00;\"17.7\";\"649.0\";\"761.4\";\"0.9\";\"95\";\"Viento procedente del 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.02.2014 00:00;\"16.3\";\"651.1\";\"764.5\";\"0.4\";\"95\";\"Viento procedente del sursureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.0\";\"26.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.5\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.02.2014 21:00;\"16.8\";\"650.7\";\"763.7\";\"\";\"96\";\"Viento procedente del sursureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.02.2014 12:00;\"24.3\";\"650.3\";\"760.2\";\"0.1\";\"53\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.0\";\"26.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.02.2014 09:00;\"21.8\";\"650.2\";\"760.9\";\"1.5\";\"51\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.02.2014 06:00;\"14.6\";\"648.7\";\"762.4\";\"0.6\";\"96\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"14.4\";\"29.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.02.2014 03:00;\"19.2\";\"648.1\";\"759.7\";\"-0.7\";\"45\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"7.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.02.2014 00:00;\"17.1\";\"648.8\";\"761.4\";\"0.6\";\"59\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.1\";\"29.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.0\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['20.02.2014 21:00;\"18.8\";\"648.2\";\"760.0\";\"1.4\";\"81\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['20.02.2014 18:00;\"23.9\";\"646.8\";\"756.2\";\"\";\"65\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.1\";\"29.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['20.02.2014 12:00;\"27.0\";\"647.2\";\"755.5\";\"-0.3\";\"43\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.1\";\"27.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['20.02.2014 09:00;\"21.1\";\"647.5\";\"758.2\";\"0.9\";\"51\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['20.02.2014 06:00;\"12.8\";\"646.6\";\"760.6\";\"-0.4\";\"77\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"25.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['20.02.2014 03:00;\"13.2\";\"647.0\";\"760.9\";\"-1.1\";\"84\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.02.2014 15:00;\"24.4\";\"647.5\";\"756.8\";\"-1.8\";\"45\";\"Viento procedente del estesureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.02.2014 12:00;\"22.5\";\"649.3\";\"759.7\";\"-0.6\";\"45\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"10.3\";\"22.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.02.2014 09:00;\"17.7\";\"649.9\";\"762.4\";\"0.9\";\"62\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena 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21:00;\"16.1\";\"650.8\";\"764.2\";\"1.0\";\"76\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.02.2014 18:00;\"17.9\";\"649.8\";\"762.2\";\"\";\"85\";\"Viento procedente del estesureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.5\";\"24.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.02.2014 12:00;\"22.0\";\"651.6\";\"762.6\";\"-0.4\";\"44\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.5\";\"22.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.02.2014 09:00;\"17.9\";\"652.0\";\"764.8\";\"0.9\";\"57\";\"Viento procedente del 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15:00;\"25.0\";\"650.2\";\"759.8\";\"-1.6\";\"36\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.02.2014 12:00;\"23.8\";\"651.8\";\"762.1\";\"0.0\";\"39\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"9.2\";\"24.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.02.2014 09:00;\"19.7\";\"651.8\";\"763.9\";\"0.7\";\"29\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"1.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.02.2014 06:00;\"10.8\";\"651.1\";\"766.7\";\"-0.4\";\"48\";\"Viento procedente del 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['15.02.2014 06:00;\"12.4\";\"650.5\";\"765.3\";\"0.6\";\"60\";\"Viento procedente del sur-oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.7\";\"26.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"4.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['15.02.2014 03:00;\"13.4\";\"649.9\";\"764.2\";\"-0.2\";\"51\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"3.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['15.02.2014 00:00;\"14.3\";\"650.1\";\"764.1\";\"\";\"54\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"10.2\";\"26.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"5.0\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.02.2014 18:00;\"20.7\";\"649.0\";\"760.1\";\"0.5\";\"55\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"10.2\";\"26.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.02.2014 15:00;\"25.9\";\"648.5\";\"757.5\";\"-1.1\";\"38\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.02.2014 12:00;\"25.6\";\"649.6\";\"758.9\";\"-0.3\";\"30\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"10.2\";\"26.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"6.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.02.2014 09:00;\"19.9\";\"649.9\";\"761.5\";\"1.3\";\"41\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"6.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.02.2014 06:00;\"11.2\";\"648.6\";\"763.6\";\"0.3\";\"61\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"10.2\";\"21.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"3.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.02.2014 03:00;\"10.4\";\"648.3\";\"763.6\";\"-1.0\";\"76\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"6.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.02.2014 00:00;\"10.9\";\"649.3\";\"764.7\";\"-0.2\";\"93\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"8.8\";\"21.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.8\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['13.02.2014 21:00;\"11.7\";\"649.5\";\"764.5\";\"0.6\";\"99\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['13.02.2014 18:00;\"15.7\";\"648.9\";\"762.1\";\"-0.1\";\"75\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"8.8\";\"21.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['13.02.2014 15:00;\"20.7\";\"649.0\";\"760.1\";\"-2.0\";\"53\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" 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03:00;\"10.3\";\"650.0\";\"765.7\";\"-0.7\";\"98\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['10.02.2014 00:00;\"12.1\";\"650.7\";\"765.7\";\"-0.5\";\"95\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"9.4\";\"22.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.3\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.02.2014 21:00;\"13.7\";\"651.2\";\"765.7\";\"0.8\";\"94\";\"Viento procedente del sursuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.02.2014 18:00;\"17.8\";\"650.4\";\"763.0\";\"0.2\";\"72\";\"Viento procedente del 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00:00;\"11.0\";\"651.2\";\"766.9\";\"0.1\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.0\";\"16.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.9\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['07.02.2014 21:00;\"13.0\";\"651.1\";\"765.8\";\"1.4\";\"97\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['07.02.2014 18:00;\"13.5\";\"649.7\";\"764.0\";\"\";\"97\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.6\";\"16.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['07.02.2014 12:00;\"13.8\";\"651.3\";\"765.7\";\"-0.4\";\"96\";\"Viento procedente 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06:00;\"13.7\";\"650.9\";\"765.3\";\"0.2\";\"97\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"13.2\";\"21.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.02.2014 03:00;\"14.3\";\"650.7\";\"764.8\";\"-0.6\";\"97\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['06.02.2014 00:00;\"14.7\";\"651.3\";\"765.3\";\"0.2\";\"96\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.7\";\"21.6\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.0\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['05.02.2014 21:00;\"14.8\";\"651.1\";\"765.0\";\"1.2\";\"97\";\"Viento procedente 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06:00;\"9.8\";\"647.8\";\"763.3\";\"-0.2\";\"97\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"9.7\";\"21.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.02.2014 03:00;\"12.0\";\"648.0\";\"762.6\";\"-1.0\";\"99\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.02.2014 00:00;\"13.8\";\"649.0\";\"763.0\";\"-0.3\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.3\";\"21.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.6\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.02.2014 21:00;\"14.5\";\"649.3\";\"763.1\";\"0.4\";\"99\";\"Viento procedente 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movidiza)\";\"\";\"\";\"\";']\n", + "['02.02.2014 12:00;\"25.3\";\"647.2\";\"756.1\";\"-0.2\";\"44\";\"Viento procedente del este\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"10.8\";\"25.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.02.2014 09:00;\"18.6\";\"647.4\";\"759.1\";\"0.8\";\"53\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.02.2014 06:00;\"11.9\";\"646.6\";\"761.0\";\"0.0\";\"74\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.2\";\"26.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"7.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.02.2014 03:00;\"12.3\";\"646.6\";\"760.8\";\"-1.2\";\"72\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"7.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.02.2014 00:00;\"12.1\";\"647.8\";\"762.3\";\"0.3\";\"87\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"9.6\";\"26.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.0\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.02.2014 21:00;\"14.4\";\"647.5\";\"761.1\";\"\";\"87\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.02.2014 15:00;\"25.9\";\"646.0\";\"754.6\";\"-1.8\";\"39\";\"Viento procedente del 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15:00;\"16.8\";\"650.1\";\"763.0\";\"-1.7\";\"62\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.01.2014 12:00;\"16.1\";\"651.8\";\"765.3\";\"-0.4\";\"62\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"7.5\";\"16.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.01.2014 09:00;\"11.6\";\"652.2\";\"767.7\";\"1.0\";\"89\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['30.01.2014 06:00;\"9.0\";\"651.2\";\"767.7\";\"-0.2\";\"99\";\"Viento procedente del 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12:00;\"19.2\";\"650.5\";\"762.4\";\"0.1\";\"68\";\"Viento procedente del sursuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.3\";\"19.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.01.2014 09:00;\"17.3\";\"650.4\";\"763.2\";\"1.4\";\"77\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.01.2014 06:00;\"13.3\";\"649.0\";\"763.1\";\"0.6\";\"99\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.3\";\"28.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['28.01.2014 03:00;\"14.1\";\"648.4\";\"762.1\";\"-0.6\";\"77\";\"Viento 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.01.2014 12:00;\"21.3\";\"650.1\";\"761.2\";\"-0.4\";\"49\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"7.8\";\"21.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.01.2014 09:00;\"16.1\";\"650.5\";\"763.9\";\"0.4\";\"70\";\"Viento procedente del estesureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.01.2014 06:00;\"8.0\";\"650.1\";\"766.9\";\"-0.7\";\"99\";\"Viento procedente del oestenoroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"7.8\";\"19.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"7.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.01.2014 03:00;\"8.9\";\"650.8\";\"767.3\";\"-1.2\";\"98\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['26.01.2014 00:00;\"10.4\";\"652.0\";\"768.0\";\"-0.6\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"9.4\";\"19.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.2\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.01.2014 21:00;\"11.1\";\"652.6\";\"768.4\";\"0.7\";\"99\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.01.2014 18:00;\"12.5\";\"651.9\";\"767.0\";\"0.3\";\"91\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"9.4\";\"19.0\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.01.2014 15:00;\"15.4\";\"651.6\";\"765.4\";\"-2.1\";\"73\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.01.2014 12:00;\"17.0\";\"653.7\";\"767.2\";\"-0.4\";\"68\";\"Viento procedente del estesureste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"9.4\";\"17.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['25.01.2014 09:00;\"14.8\";\"654.1\";\"768.5\";\"\";\"77\";\"Viento 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21:00;\"9.5\";\"650.8\";\"766.9\";\"\";\"99\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.01.2014 18:00;\"12.7\";\"650.9\";\"765.7\";\"\";\"75\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"5.0\";\"18.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.01.2014 15:00;\"18.4\";\"651.2\";\"763.6\";\"\";\"44\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"6.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['22.01.2014 12:00;\"14.9\";\"653.5\";\"767.8\";\"\";\"59\";\"Viento procedente del 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.01.2014 15:00;\"18.6\";\"652.6\";\"765.3\";\"-1.2\";\"41\";\"Viento procedente del noroeste\";\"7\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"5.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.01.2014 12:00;\"21.0\";\"653.8\";\"765.7\";\"0.9\";\"27\";\"Viento procedente del noroeste\";\"4\";\"\";\"\";\"\";\" \";\"\";\"\";\"9.2\";\"22.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"1.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['21.01.2014 09:00;\"20.6\";\"652.9\";\"764.8\";\"\";\"21\";\"Viento procedente del norte\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"-2.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena 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15:00;\"20.3\";\"649.9\";\"761.4\";\"-2.0\";\"49\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['20.01.2014 12:00;\"19.0\";\"651.9\";\"764.2\";\"-0.5\";\"48\";\"Viento procedente del sudeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"6.4\";\"19.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"7.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['20.01.2014 09:00;\"14.8\";\"652.4\";\"766.6\";\"0.7\";\"61\";\"Viento procedente del sur-oeste\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"7.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['20.01.2014 06:00;\"7.2\";\"651.7\";\"769.1\";\"-0.6\";\"88\";\"Viento procedente del 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.01.2014 03:00;\"8.2\";\"652.2\";\"769.2\";\"-0.4\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['19.01.2014 00:00;\"9.7\";\"652.6\";\"769.0\";\"\";\"92\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"6.0\";\"19.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.4\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.01.2014 18:00;\"12.6\";\"651.9\";\"766.9\";\"0.3\";\"85\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"6.0\";\"19.3\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena 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06:00;\"6.8\";\"653.2\";\"771.1\";\"0.3\";\"85\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"6.0\";\"16.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"4.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.01.2014 03:00;\"7.3\";\"652.9\";\"770.4\";\"-0.9\";\"92\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"6.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['18.01.2014 00:00;\"10.1\";\"653.8\";\"770.2\";\"-0.1\";\"95\";\"Viento procedente del sur\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"7.7\";\"16.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.4\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['17.01.2014 21:00;\"10.7\";\"653.9\";\"770.2\";\"1.2\";\"96\";\"Viento procedente del 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06:00;\"5.4\";\"652.4\";\"770.8\";\"-0.3\";\"99\";\"Viento procedente del este\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"5.2\";\"17.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"5.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.01.2014 03:00;\"7.9\";\"652.7\";\"770.0\";\"-1.3\";\"99\";\"Viento procedente del noreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"7.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['16.01.2014 00:00;\"8.6\";\"654.0\";\"771.2\";\"-0.8\";\"97\";\"Viento procedente del estenoreste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"8.3\";\"17.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.1\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['15.01.2014 21:00;\"10.0\";\"654.8\";\"771.5\";\"0.6\";\"80\";\"Viento procedente del 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precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['15.01.2014 00:00;\"11.9\";\"652.4\";\"767.9\";\"\";\"93\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.5\";\"20.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.8\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.01.2014 18:00;\"14.9\";\"651.7\";\"765.7\";\"0.3\";\"80\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.5\";\"20.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.01.2014 15:00;\"19.3\";\"651.4\";\"763.4\";\"-1.2\";\"38\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"4.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.01.2014 12:00;\"18.9\";\"652.6\";\"765.1\";\"-0.5\";\"47\";\"Viento procedente del estesureste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.5\";\"19.5\";\"\";\"\";\"\";\"\";\"\";\"\";\"7.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.01.2014 09:00;\"14.9\";\"653.1\";\"767.3\";\"0.8\";\"64\";\"Viento procedente del nornoroeste\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.01.2014 06:00;\"11.8\";\"652.3\";\"767.7\";\"1.1\";\"95\";\"Viento procedente del oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.8\";\"25.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.01.2014 03:00;\"15.4\";\"651.2\";\"765.0\";\"-0.5\";\"28\";\"Viento procedente del nornoroeste\";\"4\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"-2.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['14.01.2014 00:00;\"16.4\";\"651.7\";\"765.0\";\"0.0\";\"54\";\"Viento procedente del oestenoroeste\";\"4\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.3\";\"25.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"7.0\";\"Sin precipitaci\\xc3\\xb3n\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['13.01.2014 21:00;\"18.4\";\"651.7\";\"764.2\";\"1.3\";\"59\";\"Viento procedente del noroeste\";\"3\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"10.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['13.01.2014 18:00;\"18.1\";\"650.4\";\"762.7\";\"\";\"92\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.3\";\"25.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"16.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['13.01.2014 12:00;\"22.1\";\"650.7\";\"761.5\";\"-0.4\";\"59\";\"Viento procedente del este\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.3\";\"23.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['13.01.2014 09:00;\"17.5\";\"651.1\";\"763.9\";\"0.9\";\"66\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"11.1\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['13.01.2014 06:00;\"11.6\";\"650.2\";\"765.4\";\"-0.2\";\"92\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" 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15:00;\"24.9\";\"649.7\";\"759.3\";\"-1.4\";\"57\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"15.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.01.2014 12:00;\"22.6\";\"651.1\";\"761.8\";\"\";\"56\";\"Viento procedente del estesureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.0\";\"25.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.01.2014 06:00;\"12.6\";\"649.3\";\"763.9\";\"0.8\";\"76\";\"Viento procedente del oestesuroeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.0\";\"24.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['11.01.2014 03:00;\"13.0\";\"648.5\";\"762.8\";\"-0.5\";\"77\";\"Viento 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12:00;\"18.0\";\"652.3\";\"765.1\";\"-0.3\";\"58\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"8.0\";\"19.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.01.2014 09:00;\"16.0\";\"652.6\";\"766.3\";\"1.5\";\"63\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.9\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.01.2014 06:00;\"8.6\";\"651.1\";\"767.8\";\"-0.1\";\"99\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"8.6\";\"18.1\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.4\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['09.01.2014 03:00;\"10.9\";\"651.2\";\"766.9\";\"-1.2\";\"96\";\"Viento procedente del 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03:00;\"8.1\";\"651.1\";\"768.0\";\"-1.3\";\"99\";\"Viento procedente del sur-oeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.0\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['04.01.2014 00:00;\"8.7\";\"652.4\";\"769.3\";\"-0.8\";\"98\";\"Calma', ' escampado\";\"0\";\"\";\"\";\"\";\" \";\"\";\"\";\"8.5\";\"16.8\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.4\";\"0.4\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.01.2014 21:00;\"10.0\";\"653.2\";\"769.6\";\"0.7\";\"97\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"9.5\";\"0.4\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['03.01.2014 18:00;\"10.1\";\"652.5\";\"768.7\";\"0.0\";\"99\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" 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"['02.01.2014 21:00;\"13.6\";\"653.0\";\"767.8\";\"1.1\";\"64\";\"Viento procedente del nornoroeste\";\"5\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"6.8\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.01.2014 18:00;\"15.2\";\"651.9\";\"765.8\";\"\";\"65\";\"Viento procedente del norte\";\"5\";\"\";\"\";\"\";\" \";\"\";\"\";\"10.1\";\"21.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"8.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.01.2014 12:00;\"18.7\";\"651.2\";\"763.6\";\"-0.2\";\"75\";\"Viento procedente del sur\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"10.1\";\"20.4\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['02.01.2014 09:00;\"17.4\";\"651.4\";\"764.2\";\"2.1\";\"70\";\"Viento 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\";\"\";\"\";\"11.9\";\"20.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.2\";\"0.2\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.01.2014 18:00;\"14.6\";\"649.3\";\"763.1\";\"0.0\";\"99\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.9\";\"20.9\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.5\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.01.2014 15:00;\"18.7\";\"649.3\";\"761.2\";\"-1.9\";\"77\";\"Viento procedente del sudeste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.01.2014 12:00;\"19.6\";\"651.2\";\"763.1\";\"-0.5\";\"72\";\"Viento procedente del sursureste\";\"2\";\"\";\"\";\"\";\" \";\"\";\"\";\"11.9\";\"20.7\";\"\";\"\";\"\";\"\";\"\";\"\";\"14.3\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.01.2014 09:00;\"16.8\";\"651.7\";\"764.9\";\"0.8\";\"77\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.7\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.01.2014 06:00;\"12.7\";\"650.9\";\"765.7\";\"-0.5\";\"99\";\"Viento procedente del oestesuroeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"12.7\";\"23.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"12.6\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.01.2014 03:00;\"13.4\";\"651.4\";\"765.9\";\"-0.9\";\"99\";\"Viento procedente del oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.2\";\"Sin precipitaci\\xc3\\xb3n\";\"3\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n", + "['01.01.2014 00:00;\"13.6\";\"652.3\";\"766.9\";\"-0.4\";\"98\";\"Viento procedente del sur-oeste\";\"1\";\"\";\"\";\"\";\" \";\"\";\"\";\"10.4\";\"23.2\";\"\";\"\";\"\";\"\";\"\";\"\";\"13.3\";\"2.0\";\"12\";\"Seco (sin ranuras', ' polvo visible o arena movidiza)\";\"\";\"\";\"\";']\n" + ] + } + ], + "source": [ + "import csv\n", + "f = open(\"/home/htapia/LocalRepos/lania.posdoc/posdoc.1er/cursos/lania.ipython/notebooks/Dia1/Xalapa_2014_datos.csv\")\n", + "for row in csv.reader(f):\n", + " print row" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Cada renglon se lee como una lista de caracteres que representan el campo en ese renglon." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Porque no usar `.split()`/`.strip()`\n", + "\n", + "Previamente tambien, vimos como podiamos separar cada renglon de un archivo de texto en campos separados por comas usando `split(\",\")`, y despues usando `strip()` para quitar otros caracteres (por ejemplo espacios blancos o comillas).\n", + "\n", + "Sin embargo, usar el modulo `csv` tiene ventajas:\n", + "\n", + "* Al usarlo es claro que estamos haciendo al leer el codigo (*p.e.* `import csv`).\n", + "* Permite evitar errores al separar lineas y caracteres de forma equivocada.\n", + "* Tiene muchas otras herramientas utiles para procesar archivos de distintos formatos." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Leyendo datos de vuelos \n", + "\n", + "Vamos a procesar algunos datos del mundo real, usando conjuntos de datos accesibles sin costo del [proyecto OpenFlights](http://www.openflights.org/).\n", + "\n", + "Hagamos una visita al [sitio de datos del proyecto OpenFlights](http://openflights.org/data.html). De ella descargaremos los datos de aeropuertos que se encuentran en el archivo `airports.dat`. Este archivo esta en formato CSV. Abranlo en un editor de texto si quieren ver su contenido o en una celda nueva escriban (en SO de la familia \\*nix):\n", + "\n", + " !head airports.dat\n", + "\n", + "suponiendo que el archivo se encuentra en la misma ruta que esta IPython Notebook." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1,\"Goroka\",\"Goroka\",\"Papua New Guinea\",\"GKA\",\"AYGA\",-6.081689,145.391881,5282,10,\"U\",\"Pacific/Port_Moresby\"\n", + "2,\"Madang\",\"Madang\",\"Papua New Guinea\",\"MAG\",\"AYMD\",-5.207083,145.7887,20,10,\"U\",\"Pacific/Port_Moresby\"\n", + "3,\"Mount Hagen\",\"Mount Hagen\",\"Papua New Guinea\",\"HGU\",\"AYMH\",-5.826789,144.295861,5388,10,\"U\",\"Pacific/Port_Moresby\"\n", + "4,\"Nadzab\",\"Nadzab\",\"Papua New Guinea\",\"LAE\",\"AYNZ\",-6.569828,146.726242,239,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5,\"Port Moresby Jacksons Intl\",\"Port Moresby\",\"Papua New Guinea\",\"POM\",\"AYPY\",-9.443383,147.22005,146,10,\"U\",\"Pacific/Port_Moresby\"\n", + "6,\"Wewak Intl\",\"Wewak\",\"Papua New Guinea\",\"WWK\",\"AYWK\",-3.583828,143.669186,19,10,\"U\",\"Pacific/Port_Moresby\"\n", + "7,\"Narsarsuaq\",\"Narssarssuaq\",\"Greenland\",\"UAK\",\"BGBW\",61.160517,-45.425978,112,-3,\"E\",\"America/Godthab\"\n", + "8,\"Nuuk\",\"Godthaab\",\"Greenland\",\"GOH\",\"BGGH\",64.190922,-51.678064,283,-3,\"E\",\"America/Godthab\"\n", + "9,\"Sondre Stromfjord\",\"Sondrestrom\",\"Greenland\",\"SFJ\",\"BGSF\",67.016969,-50.689325,165,-3,\"E\",\"America/Godthab\"\n", + "10,\"Thule Air Base\",\"Thule\",\"Greenland\",\"THU\",\"BGTL\",76.531203,-68.703161,251,-4,\"E\",\"America/Thule\"\n", + "11,\"Akureyri\",\"Akureyri\",\"Iceland\",\"AEY\",\"BIAR\",65.659994,-18.072703,6,0,\"N\",\"Atlantic/Reykjavik\"\n", + "12,\"Egilsstadir\",\"Egilsstadir\",\"Iceland\",\"EGS\",\"BIEG\",65.283333,-14.401389,76,0,\"N\",\"Atlantic/Reykjavik\"\n", + "13,\"Hornafjordur\",\"Hofn\",\"Iceland\",\"HFN\",\"BIHN\",64.295556,-15.227222,24,0,\"N\",\"Atlantic/Reykjavik\"\n", + "14,\"Husavik\",\"Husavik\",\"Iceland\",\"HZK\",\"BIHU\",65.952328,-17.425978,48,0,\"N\",\"Atlantic/Reykjavik\"\n", + "15,\"Isafjordur\",\"Isafjordur\",\"Iceland\",\"IFJ\",\"BIIS\",66.058056,-23.135278,8,0,\"N\",\"Atlantic/Reykjavik\"\n", + "16,\"Keflavik International Airport\",\"Keflavik\",\"Iceland\",\"KEF\",\"BIKF\",63.985,-22.605556,171,0,\"N\",\"Atlantic/Reykjavik\"\n", + "17,\"Patreksfjordur\",\"Patreksfjordur\",\"Iceland\",\"PFJ\",\"BIPA\",65.555833,-23.965,11,0,\"N\",\"Atlantic/Reykjavik\"\n", + "18,\"Reykjavik\",\"Reykjavik\",\"Iceland\",\"RKV\",\"BIRK\",64.13,-21.940556,48,0,\"N\",\"Atlantic/Reykjavik\"\n", + "19,\"Siglufjordur\",\"Siglufjordur\",\"Iceland\",\"SIJ\",\"BISI\",66.133333,-18.916667,10,0,\"N\",\"Atlantic/Reykjavik\"\n", + "20,\"Vestmannaeyjar\",\"Vestmannaeyjar\",\"Iceland\",\"VEY\",\"BIVM\",63.424303,-20.278875,326,0,\"N\",\"Atlantic/Reykjavik\"\n", + "21,\"Sault Ste Marie\",\"Sault Sainte Marie\",\"Canada\",\"YAM\",\"CYAM\",46.485001,-84.509445,630,-5,\"A\",\"America/Toronto\"\n", + "22,\"Winnipeg St Andrews\",\"Winnipeg\",\"Canada\",\"YAV\",\"CYAV\",50.056389,-97.0325,760,-6,\"A\",\"America/Winnipeg\"\n", + "23,\"Shearwater\",\"Halifax\",\"Canada\",\"YAW\",\"CYAW\",44.639721,-63.499444,167,-4,\"A\",\"America/Halifax\"\n", + "24,\"St Anthony\",\"St. Anthony\",\"Canada\",\"YAY\",\"CYAY\",51.391944,-56.083056,108,-3.5,\"A\",\"America/St_Johns\"\n", + "25,\"Tofino\",\"Tofino\",\"Canada\",\"YAZ\",\"CYAZ\",49.082222,-125.7725,80,-8,\"A\",\"America/Vancouver\"\n", + "26,\"Kugaaruk\",\"Pelly Bay\",\"Canada\",\"YBB\",\"CYBB\",68.534444,-89.808056,56,-7,\"A\",\"America/Edmonton\"\n", + "27,\"Baie Comeau\",\"Baie Comeau\",\"Canada\",\"YBC\",\"CYBC\",49.1325,-68.204444,71,-5,\"A\",\"America/Toronto\"\n", + "28,\"Bagotville\",\"Bagotville\",\"Canada\",\"YBG\",\"CYBG\",48.330555,-70.996391,522,-5,\"A\",\"America/Toronto\"\n", + "29,\"Baker Lake\",\"Baker Lake\",\"Canada\",\"YBK\",\"CYBK\",64.298889,-96.077778,59,-6,\"A\",\"America/Winnipeg\"\n", + "30,\"Campbell River\",\"Campbell River\",\"Canada\",\"YBL\",\"CYBL\",49.950832,-125.270833,346,-8,\"A\",\"America/Vancouver\"\n", + "31,\"Brandon Muni\",\"Brandon\",\"Canada\",\"YBR\",\"CYBR\",49.91,-99.951944,1343,-6,\"A\",\"America/Winnipeg\"\n", + "32,\"Cambridge Bay\",\"Cambridge Bay\",\"Canada\",\"YCB\",\"CYCB\",69.108055,-105.138333,90,-7,\"A\",\"America/Edmonton\"\n", + "33,\"Nanaimo\",\"Nanaimo\",\"Canada\",\"YCD\",\"CYCD\",49.052333,-123.870167,93,-8,\"A\",\"America/Vancouver\"\n", + "34,\"Castlegar\",\"Castlegar\",\"Canada\",\"YCG\",\"CYCG\",49.296389,-117.6325,1624,-8,\"A\",\"America/Vancouver\"\n", + "35,\"Miramichi\",\"Chatham\",\"Canada\",\"YCH\",\"CYCH\",47.007778,-65.449167,108,-4,\"A\",\"America/Halifax\"\n", + "36,\"Charlo\",\"Charlo\",\"Canada\",\"YCL\",\"CYCL\",47.990833,-66.330278,132,-4,\"A\",\"America/Halifax\"\n", + "37,\"Kugluktuk\",\"Coppermine\",\"Canada\",\"YCO\",\"CYCO\",67.816667,-115.143889,74,-7,\"A\",\"America/Edmonton\"\n", + "38,\"Coronation\",\"Coronation\",\"Canada\",\"YCT\",\"CYCT\",52.075001,-111.445278,2595,-7,\"A\",\"America/Edmonton\"\n", + "39,\"Chilliwack\",\"Chilliwack\",\"Canada\",\"YCW\",\"CYCW\",49.152779,-121.93889,32,-8,\"A\",\"America/Vancouver\"\n", + "40,\"Clyde River\",\"Clyde River\",\"Canada\",\"YCY\",\"CYCY\",70.486111,-68.516667,87,-5,\"A\",\"America/Toronto\"\n", + "41,\"Fairmont Hot Springs\",\"Coral Harbour\",\"Canada\",\"YZS\",\"CYCZ\",64.193333,-83.359444,2661,-5,\"A\",\"America/Coral_Harbour\"\n", + "42,\"Dawson City\",\"Dawson\",\"Canada\",\"YDA\",\"CYDA\",64.043056,-139.127778,1215,-8,\"A\",\"America/Vancouver\"\n", + "43,\"Burwash\",\"Burwash\",\"Canada\",\"YDB\",\"CYDB\",61.371111,-139.040556,2647,-8,\"A\",\"America/Vancouver\"\n", + "44,\"Princeton\",\"Princeton\",\"Canada\",\"YDC\",\"CYDC\",49.468056,-120.511389,2298,-8,\"A\",\"America/Vancouver\"\n", + "45,\"Deer Lake\",\"Deer Lake\",\"Canada\",\"YDF\",\"CYDF\",49.210833,-57.391388,72,-3.5,\"A\",\"America/St_Johns\"\n", + "46,\"Dease Lake\",\"Dease Lake\",\"Canada\",\"YDL\",\"CYDL\",58.422222,-130.032222,2600,-8,\"A\",\"America/Vancouver\"\n", + "47,\"Dauphin Barker\",\"Dauphin\",\"Canada\",\"YDN\",\"CYDN\",51.100834,-100.0525,999,-6,\"A\",\"America/Winnipeg\"\n", + "48,\"Dawson Creek\",\"Dawson Creek\",\"Canada\",\"YDQ\",\"CYDQ\",55.742333,-120.183,2148,-7,\"A\",\"America/Dawson_Creek\"\n", + "49,\"Edmonton Intl\",\"Edmonton\",\"Canada\",\"YEG\",\"CYEG\",53.309723,-113.579722,2373,-7,\"A\",\"America/Edmonton\"\n", + "50,\"Arviat\",\"Eskimo Point\",\"Canada\",\"YEK\",\"CYEK\",61.094166,-94.070833,32,-6,\"A\",\"America/Winnipeg\"\n", + "51,\"Estevan\",\"Estevan\",\"Canada\",\"YEN\",\"CYEN\",49.210278,-102.965833,1905,-6,\"N\",\"America/Regina\"\n", + "52,\"Edson\",\"Edson\",\"Canada\",\"YET\",\"CYET\",53.578888,-116.465,3041,-7,\"A\",\"America/Edmonton\"\n", + "53,\"Eureka\",\"Eureka\",\"Canada\",\"YEU\",\"CYEU\",79.994722,-85.814167,256,-6,\"A\",\"America/Winnipeg\"\n", + "54,\"Inuvik Mike Zubko\",\"Inuvik\",\"Canada\",\"YEV\",\"CYEV\",68.304167,-133.482778,224,-7,\"A\",\"America/Edmonton\"\n", + "55,\"Iqaluit\",\"Iqaluit\",\"Canada\",\"YFB\",\"CYFB\",63.75639,-68.555832,110,-5,\"A\",\"America/Toronto\"\n", + "56,\"Fredericton\",\"Fredericton\",\"Canada\",\"YFC\",\"CYFC\",45.868889,-66.537222,68,-4,\"A\",\"America/Halifax\"\n", + "57,\"Forestville\",\"Forestville\",\"Canada\",\"\",\"CYFE\",48.746111,-69.097222,293,-5,\"A\",\"America/Toronto\"\n", + "58,\"Flin Flon\",\"Flin Flon\",\"Canada\",\"YFO\",\"CYFO\",54.678055,-101.681667,997,-6,\"A\",\"America/Winnipeg\"\n", + "59,\"Fort Resolution\",\"Fort Resolution\",\"Canada\",\"YFR\",\"CYFR\",61.180832,-113.689722,526,-7,\"A\",\"America/Edmonton\"\n", + "60,\"Fort Simpson\",\"Fort Simpson\",\"Canada\",\"YFS\",\"CYFS\",61.760153,-121.236525,555,-7,\"A\",\"America/Edmonton\"\n", + "61,\"Kingston\",\"Kingston\",\"Canada\",\"YGK\",\"CYGK\",44.225277,-76.596944,305,-5,\"A\",\"America/Toronto\"\n", + "62,\"La Grande Riviere\",\"La Grande Riviere\",\"Canada\",\"YGL\",\"CYGL\",53.625278,-77.704167,639,-5,\"A\",\"America/Toronto\"\n", + "63,\"Gaspe\",\"Gaspe\",\"Canada\",\"YGP\",\"CYGP\",48.775278,-64.478611,108,-5,\"A\",\"America/Toronto\"\n", + "64,\"Geraldton Greenstone Regional\",\"Geraldton\",\"Canada\",\"YGQ\",\"CYGQ\",49.778332,-86.939445,1144,-5,\"A\",\"America/Toronto\"\n", + "65,\"Iles De La Madeleine\",\"Iles De La Madeleine\",\"Canada\",\"YGR\",\"CYGR\",47.424721,-61.778056,35,-5,\"A\",\"America/Toronto\"\n", + "66,\"Hudson Bay\",\"Hudson Bay\",\"Canada\",\"YHB\",\"CYHB\",52.816666,-102.31139,1175,-6,\"N\",\"America/Regina\"\n", + "67,\"Dryden Rgnl\",\"Dryden\",\"Canada\",\"YHD\",\"CYHD\",49.831667,-92.744167,1354,-6,\"A\",\"America/Winnipeg\"\n", + "68,\"Ulukhaktok Holman\",\"Holman Island\",\"Canada\",\"YHI\",\"CYHI\",70.762778,-117.806111,117,-7,\"A\",\"America/Edmonton\"\n", + "69,\"Gjoa Haven\",\"Gjoa Haven\",\"Canada\",\"YHK\",\"CYHK\",68.635556,-95.849722,152,-7,\"A\",\"America/Edmonton\"\n", + "70,\"Hamilton\",\"Hamilton\",\"Canada\",\"YHM\",\"CYHM\",43.173611,-79.935,780,-5,\"A\",\"America/Toronto\"\n", + "71,\"St Hubert\",\"Montreal\",\"Canada\",\"YHU\",\"CYHU\",45.5175,-73.416944,90,-5,\"A\",\"America/Toronto\"\n", + "72,\"Hay River\",\"Hay River\",\"Canada\",\"YHY\",\"CYHY\",60.839722,-115.782778,543,-7,\"A\",\"America/Edmonton\"\n", + "73,\"Halifax Intl\",\"Halifax\",\"Canada\",\"YHZ\",\"CYHZ\",44.880833,-63.50861,477,-4,\"A\",\"America/Halifax\"\n", + "74,\"Atikokan Muni\",\"Atikokan\",\"Canada\",\"YIB\",\"CYIB\",48.773888,-91.638611,1408,-5,\"A\",\"America/Coral_Harbour\"\n", + "75,\"Pond Inlet\",\"Pond Inlet\",\"Canada\",\"YIO\",\"CYIO\",72.683334,-77.966667,181,-5,\"A\",\"America/Toronto\"\n", + "76,\"St Jean\",\"St. Jean\",\"Canada\",\"YJN\",\"CYJN\",45.294445,-73.281111,136,-5,\"A\",\"America/Toronto\"\n", + "77,\"Stephenville\",\"Stephenville\",\"Canada\",\"YJT\",\"CYJT\",48.544167,-58.549999,80,-3.5,\"A\",\"America/St_Johns\"\n", + "78,\"Kamloops\",\"Kamloops\",\"Canada\",\"YKA\",\"CYKA\",50.702222,-120.444444,1133,-8,\"A\",\"America/Vancouver\"\n", + "79,\"Waterloo\",\"Waterloo\",\"Canada\",\"YKF\",\"CYKF\",43.460833,-80.378611,1054,-5,\"A\",\"America/Toronto\"\n", + "80,\"Schefferville\",\"Schefferville\",\"Canada\",\"YKL\",\"CYKL\",54.805278,-66.805278,1709,-5,\"A\",\"America/Toronto\"\n", + "81,\"Kindersley\",\"Kindersley\",\"Canada\",\"YKY\",\"CYKY\",51.5175,-109.180833,2277,-6,\"N\",\"America/Regina\"\n", + "82,\"Buttonville Muni\",\"Toronto\",\"Canada\",\"YKZ\",\"CYKZ\",43.862221,-79.37,650,-5,\"A\",\"America/Toronto\"\n", + "83,\"Chapleau\",\"Chapleau\",\"Canada\",\"YLD\",\"CYLD\",47.82,-83.346667,1470,-5,\"A\",\"America/Toronto\"\n", + "84,\"Meadow Lake\",\"Meadow Lake\",\"Canada\",\"YLJ\",\"CYLJ\",54.125278,-108.522778,1576,-6,\"N\",\"America/Regina\"\n", + "85,\"Lloydminster\",\"Lloydminster\",\"Canada\",\"YLL\",\"CYLL\",53.309166,-110.0725,2193,-7,\"A\",\"America/Edmonton\"\n", + "86,\"Alert\",\"Alert\",\"Canada\",\"YLT\",\"CYLT\",82.517778,-62.280556,100,-5,\"A\",\"America/Toronto\"\n", + "87,\"Kelowna\",\"Kelowna\",\"Canada\",\"YLW\",\"CYLW\",49.956112,-119.377778,1409,-8,\"A\",\"America/Vancouver\"\n", + "88,\"Mayo\",\"Mayo\",\"Canada\",\"YMA\",\"CYMA\",63.616389,-135.868333,1653,-8,\"A\",\"America/Vancouver\"\n", + "89,\"Moose Jaw Air Vice Marshal C M Mcewen\",\"Moose Jaw\",\"Canada\",\"YMJ\",\"CYMJ\",50.330278,-105.559167,1892,-6,\"N\",\"America/Regina\"\n", + "90,\"Fort Mcmurray\",\"Fort Mcmurray\",\"Canada\",\"YMM\",\"CYMM\",56.653333,-111.221944,1211,-7,\"A\",\"America/Edmonton\"\n", + "91,\"Moosonee\",\"Moosonee\",\"Canada\",\"YMO\",\"CYMO\",51.291111,-80.607778,30,-5,\"A\",\"America/Toronto\"\n", + "92,\"Maniwaki\",\"Maniwaki\",\"Canada\",\"YMW\",\"CYMW\",46.272778,-75.990556,656,-5,\"A\",\"America/Toronto\"\n", + "93,\"Montreal Intl Mirabel\",\"Montreal\",\"Canada\",\"YMX\",\"CYMX\",45.681944,-74.005278,270,-5,\"A\",\"America/Toronto\"\n", + "94,\"Natashquan\",\"Natashquan\",\"Canada\",\"YNA\",\"CYNA\",50.19,-61.789167,39,-5,\"A\",\"America/Toronto\"\n", + "95,\"Gatineau\",\"Gatineau\",\"Canada\",\"YND\",\"CYND\",45.521694,-75.563589,211,-5,\"A\",\"America/Toronto\"\n", + "96,\"Matagami\",\"Matagami\",\"Canada\",\"YNM\",\"CYNM\",49.761667,-77.802778,918,-5,\"A\",\"America/Toronto\"\n", + "97,\"Old Crow\",\"Old Crow\",\"Canada\",\"YOC\",\"CYOC\",67.570556,-139.839167,824,-8,\"A\",\"America/Vancouver\"\n", + "98,\"Cold Lake\",\"Cold Lake\",\"Canada\",\"YOD\",\"CYOD\",54.404999,-110.279444,1775,-7,\"A\",\"America/Edmonton\"\n", + "99,\"High Level\",\"High Level\",\"Canada\",\"YOJ\",\"CYOJ\",58.621389,-117.164722,1110,-7,\"A\",\"America/Edmonton\"\n", + "100,\"Ottawa Macdonald 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"243,\"Ouargla\",\"Ouargla\",\"Algeria\",\"OGX\",\"DAUU\",31.917223,5.412778,492,1,\"N\",\"Africa/Algiers\"\n", + "244,\"In Amenas\",\"Zarzaitine\",\"Algeria\",\"IAM\",\"DAUZ\",28.05155,9.642911,1847,1,\"N\",\"Africa/Algiers\"\n", + "245,\"Cadjehoun\",\"Cotonou\",\"Benin\",\"COO\",\"DBBB\",6.357228,2.384353,19,1,\"N\",\"Africa/Porto-Novo\"\n", + "246,\"Ouagadougou\",\"Ouagadougou\",\"Burkina Faso\",\"OUA\",\"DFFD\",12.353194,-1.512417,1037,0,\"N\",\"Africa/Ouagadougou\"\n", + "247,\"Bobo Dioulasso\",\"Bobo-dioulasso\",\"Burkina Faso\",\"BOY\",\"DFOO\",11.160056,-4.330969,1511,0,\"N\",\"Africa/Ouagadougou\"\n", + "248,\"Kotoka Intl\",\"Accra\",\"Ghana\",\"ACC\",\"DGAA\",5.605186,-0.166786,205,0,\"N\",\"Africa/Accra\"\n", + "249,\"Tamale\",\"Tamale\",\"Ghana\",\"TML\",\"DGLE\",9.557192,-0.863214,553,0,\"N\",\"Africa/Accra\"\n", + "250,\"Wa\",\"Wa\",\"Ghana\",\"\",\"DGLW\",10.082664,-2.507694,1060,0,\"N\",\"Africa/Accra\"\n", + "251,\"Sunyani\",\"Sunyani\",\"Ghana\",\"NYI\",\"DGSN\",7.361828,-2.328756,1014,0,\"N\",\"Africa/Accra\"\n", + "252,\"Takoradi\",\"Takoradi\",\"Ghana\",\"TKD\",\"DGTK\",4.896056,-1.774756,21,0,\"N\",\"Africa/Accra\"\n", + "253,\"Abidjan Felix Houphouet Boigny Intl\",\"Abidjan\",\"Cote d'Ivoire\",\"ABJ\",\"DIAP\",5.261386,-3.926294,21,0,\"N\",\"Africa/Abidjan\"\n", + "254,\"Bouake\",\"Bouake\",\"Cote d'Ivoire\",\"BYK\",\"DIBK\",7.7388,-5.073667,1230,0,\"N\",\"Africa/Abidjan\"\n", + "255,\"Daloa\",\"Daloa\",\"Cote d'Ivoire\",\"DJO\",\"DIDL\",6.792808,-6.473189,823,0,\"N\",\"Africa/Abidjan\"\n", + "256,\"Korhogo\",\"Korhogo\",\"Cote d'Ivoire\",\"HGO\",\"DIKO\",9.387183,-5.556664,1214,0,\"N\",\"Africa/Abidjan\"\n", + "257,\"Man\",\"Man\",\"Cote d'Ivoire\",\"MJC\",\"DIMN\",7.272069,-7.587364,1089,0,\"N\",\"Africa/Abidjan\"\n", + "258,\"San Pedro\",\"San Pedro\",\"Cote d'Ivoire\",\"SPY\",\"DISP\",4.746717,-6.660817,26,0,\"N\",\"Africa/Abidjan\"\n", + "259,\"Yamoussoukro\",\"Yamoussoukro\",\"Cote d'Ivoire\",\"ASK\",\"DIYO\",6.903167,-5.365581,699,0,\"N\",\"Africa/Abidjan\"\n", + "260,\"Nnamdi Azikiwe Intl\",\"Abuja\",\"Nigeria\",\"ABV\",\"DNAA\",9.006792,7.263172,1123,1,\"N\",\"Africa/Lagos\"\n", + "261,\"Akure\",\"Akure\",\"Nigeria\",\"AKR\",\"DNAK\",7.246739,5.301008,1100,1,\"N\",\"Africa/Lagos\"\n", + "262,\"Benin\",\"Benin\",\"Nigeria\",\"BNI\",\"DNBE\",6.316981,5.599503,258,1,\"N\",\"Africa/Lagos\"\n", + "263,\"Calabar\",\"Calabar\",\"Nigeria\",\"CBQ\",\"DNCA\",4.976019,8.347197,210,1,\"N\",\"Africa/Lagos\"\n", + "264,\"Enugu\",\"Enugu\",\"Nigeria\",\"ENU\",\"DNEN\",6.474272,7.561961,466,1,\"N\",\"Africa/Lagos\"\n", + "265,\"Gusau\",\"Gusau\",\"Nigeria\",\"QUS\",\"DNGU\",12.171667,6.696111,1520,1,\"N\",\"Africa/Lagos\"\n", + "266,\"Ibadan\",\"Ibadan\",\"Nigeria\",\"IBA\",\"DNIB\",7.362458,3.978333,725,1,\"N\",\"Africa/Lagos\"\n", + "267,\"Ilorin\",\"Ilorin\",\"Nigeria\",\"ILR\",\"DNIL\",8.440211,4.493919,1126,1,\"N\",\"Africa/Lagos\"\n", + "268,\"Yakubu Gowon\",\"Jos\",\"Nigeria\",\"JOS\",\"DNJO\",9.639828,8.86905,4232,1,\"N\",\"Africa/Lagos\"\n", + "269,\"Kaduna\",\"Kaduna\",\"Nigeria\",\"KAD\",\"DNKA\",10.696025,7.320114,2073,1,\"N\",\"Africa/Lagos\"\n", + "270,\"Mallam Aminu Intl\",\"Kano\",\"Nigeria\",\"KAN\",\"DNKN\",12.047589,8.524622,1562,1,\"N\",\"Africa/Lagos\"\n", + "271,\"Maiduguri\",\"Maiduguri\",\"Nigeria\",\"MIU\",\"DNMA\",11.855347,13.08095,1099,1,\"N\",\"Africa/Lagos\"\n", + "272,\"Makurdi\",\"Makurdi\",\"Nigeria\",\"MDI\",\"DNMK\",7.703883,8.613939,371,1,\"N\",\"Africa/Lagos\"\n", + "273,\"Murtala Muhammed\",\"Lagos\",\"Nigeria\",\"LOS\",\"DNMM\",6.577369,3.321156,135,1,\"N\",\"Africa/Lagos\"\n", + "274,\"Minna New\",\"Minna\",\"Nigeria\",\"MXJ\",\"DNMN\",9.652172,6.462256,834,1,\"N\",\"Africa/Lagos\"\n", + "275,\"Port Harcourt Intl\",\"Port 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"284,\"Diffa\",\"Diffa\",\"Niger\",\"\",\"DRZF\",13.372894,12.626686,994,1,\"N\",\"Africa/Niamey\"\n", + "285,\"Zinder\",\"Zinder\",\"Niger\",\"ZND\",\"DRZR\",13.778997,8.983761,1516,1,\"N\",\"Africa/Niamey\"\n", + "286,\"Habib Bourguiba Intl\",\"Monastir\",\"Tunisia\",\"MIR\",\"DTMB\",35.758056,10.754722,9,1,\"E\",\"Africa/Tunis\"\n", + "287,\"Carthage\",\"Tunis\",\"Tunisia\",\"TUN\",\"DTTA\",36.851033,10.227217,22,1,\"E\",\"Africa/Tunis\"\n", + "288,\"Sidi Ahmed Air Base\",\"Bizerte\",\"Tunisia\",\"\",\"DTTB\",37.245447,9.791453,20,1,\"E\",\"Africa/Tunis\"\n", + "289,\"Remada\",\"Remada\",\"Tunisia\",\"\",\"DTTD\",32.306156,10.382108,1004,1,\"E\",\"Africa/Tunis\"\n", + "290,\"Gafsa\",\"Gafsa\",\"Tunisia\",\"GAF\",\"DTTF\",34.422022,8.822503,1060,1,\"E\",\"Africa/Tunis\"\n", + "291,\"Gabes\",\"Gabes\",\"Tunisia\",\"GAE\",\"DTTG\",33.876919,10.103333,26,1,\"E\",\"Africa/Tunis\"\n", + "292,\"Borj El Amri\",\"Bordj El 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"300,\"Beauvechain\",\"Beauvechain\",\"Belgium\",\"\",\"EBBE\",50.75861,4.768333,370,1,\"E\",\"Europe/Brussels\"\n", + "301,\"Kleine Brogel\",\"Kleine Brogel\",\"Belgium\",\"\",\"EBBL\",51.168333,5.47,200,1,\"E\",\"Europe/Brussels\"\n", + "302,\"Brussels Natl\",\"Brussels\",\"Belgium\",\"BRU\",\"EBBR\",50.901389,4.484444,184,1,\"E\",\"Europe/Brussels\"\n", + "303,\"Bertrix\",\"Bertrix\",\"Belgium\",\"\",\"EBBX\",49.891667,5.223889,1514,1,\"E\",\"Europe/Brussels\"\n", + "304,\"Brussels South\",\"Charleroi\",\"Belgium\",\"CRL\",\"EBCI\",50.459197,4.453817,614,1,\"E\",\"Europe/Brussels\"\n", + "305,\"Chievres Ab\",\"Chievres\",\"Belgium\",\"\",\"EBCV\",50.575833,3.831,193,1,\"E\",\"Europe/Brussels\"\n", + "306,\"Koksijde\",\"Koksijde\",\"Belgium\",\"\",\"EBFN\",51.090278,2.652778,20,1,\"E\",\"Europe/Brussels\"\n", + "307,\"Florennes\",\"Florennes\",\"Belgium\",\"\",\"EBFS\",50.243333,4.645833,935,1,\"E\",\"Europe/Brussels\"\n", + "308,\"Wevelgem\",\"Kortrijk-vevelgem\",\"Belgium\",\"QKT\",\"EBKT\",50.817222,3.204722,64,1,\"E\",\"Europe/Brussels\"\n", + "309,\"Liege\",\"Liege\",\"Belgium\",\"LGG\",\"EBLG\",50.637417,5.443222,659,1,\"E\",\"Europe/Brussels\"\n", + "310,\"Oostende\",\"Ostend\",\"Belgium\",\"OST\",\"EBOS\",51.198889,2.862222,13,1,\"E\",\"Europe/Brussels\"\n", + "311,\"Zutendaal\",\"Zutendaal\",\"Belgium\",\"\",\"EBSL\",50.9475,5.590556,312,1,\"E\",\"Europe/Brussels\"\n", + "312,\"Sint Truiden\",\"Sint-truiden\",\"Belgium\",\"\",\"EBST\",50.791944,5.201667,246,1,\"E\",\"Europe/Brussels\"\n", + "313,\"Saint Hubert Mil\",\"St.-hubert\",\"Belgium\",\"\",\"EBSU\",50.035833,5.404167,1930,1,\"E\",\"Europe/Brussels\"\n", + "314,\"Ursel\",\"Ursel\",\"Belgium\",\"\",\"EBUL\",51.144133,3.474361,95,1,\"E\",\"Europe/Brussels\"\n", + "315,\"Weelde\",\"Weelde\",\"Belgium\",\"\",\"EBWE\",51.394783,4.960194,105,1,\"E\",\"Europe/Brussels\"\n", + "316,\"Zoersel\",\"Zoersel\",\"Belgium\",\"\",\"EBZR\",51.264722,4.753333,53,1,\"E\",\"Europe/Brussels\"\n", + "317,\"Bautzen\",\"Bautzen\",\"Germany\",\"BBJ\",\"EDAB\",51.193531,14.519747,568,1,\"E\",\"Europe/Berlin\"\n", + "318,\"Altenburg Nobitz\",\"Altenburg\",\"Germany\",\"AOC\",\"EDAC\",50.981817,12.506361,640,1,\"E\",\"Europe/Berlin\"\n", + "319,\"Dessau\",\"Dessau\",\"Germany\",\"\",\"EDAD\",51.831828,12.184033,187,1,\"E\",\"Europe/Berlin\"\n", + "320,\"Eisenhuttenstadt\",\"Eisenhuettenstadt\",\"Germany\",\"\",\"EDAE\",52.197333,14.585667,149,1,\"E\",\"Europe/Berlin\"\n", + "6891,\"Putnam County Airport\",\"Greencastle\",\"United States\",\"4I7\",\\N,39.6335556,-86.8138056,842,-5,\"U\",\"America/New_York\"\n", + "322,\"Grossenhain\",\"Suhl\",\"Germany\",\"\",\"EDAK\",51.308111,13.554973,417,1,\"E\",\"Europe/Berlin\"\n", + "323,\"Merseburg\",\"Muehlhausen\",\"Germany\",\"\",\"EDAM\",51.363,11.940833,340,1,\"E\",\"Europe/Berlin\"\n", + "324,\"Halle Oppin\",\"Halle\",\"Germany\",\"\",\"EDAQ\",51.552,12.052667,347,1,\"E\",\"Europe/Berlin\"\n", + "325,\"Riesa Gohlis\",\"Riesa\",\"Germany\",\"\",\"EDAU\",51.2935,13.356,322,1,\"E\",\"Europe/Berlin\"\n", + "326,\"Rechlin Larz\",\"Rechlin-laerz\",\"Germany\",\"\",\"EDAX\",53.306417,12.753139,220,1,\"E\",\"Europe/Berlin\"\n", + "327,\"Strausberg\",\"Strausberg\",\"Germany\",\"\",\"EDAY\",52.579978,13.915683,263,1,\"E\",\"Europe/Berlin\"\n", + "328,\"Schonhagen\",\"Schoenhagen\",\"Germany\",\"\",\"EDAZ\",52.203258,13.158408,131,1,\"E\",\"Europe/Berlin\"\n", + "329,\"Barth\",\"Barth\",\"Germany\",\"BBH\",\"EDBH\",54.33754,12.699705,23,1,\"E\",\"Europe/Berlin\"\n", + "330,\"Jena Schongleina\",\"Jena\",\"Germany\",\"\",\"EDBJ\",50.915161,11.714519,1228,1,\"E\",\"Europe/Berlin\"\n", + "331,\"Kyritz\",\"Kyritz\",\"Germany\",\"\",\"EDBK\",52.918833,12.425333,130,1,\"E\",\"Europe/Berlin\"\n", + "332,\"Magdeburg\",\"Magdeburg\",\"Germany\",\"\",\"EDBM\",52.073658,11.626467,268,1,\"E\",\"Europe/Berlin\"\n", + "333,\"Rothenburg Gorlitz\",\"Rothenburg/ol\",\"Germany\",\"\",\"EDBR\",51.363167,14.95,517,1,\"E\",\"Europe/Berlin\"\n", + "334,\"Anklam\",\"Anklam\",\"Germany\",\"\",\"EDCA\",53.8327,13.669131,18,1,\"E\",\"Europe/Berlin\"\n", + "335,\"Cottbus Drewitz\",\"Cottbus\",\"Germany\",\"\",\"EDCD\",51.889475,14.531986,274,1,\"E\",\"Europe/Berlin\"\n", + "336,\"Kamenz\",\"Kamenz\",\"Germany\",\"\",\"EDCM\",51.29625,14.129,495,1,\"E\",\"Europe/Berlin\"\n", + "337,\"Schonefeld\",\"Berlin\",\"Germany\",\"SXF\",\"EDDB\",52.380001,13.5225,157,1,\"E\",\"Europe/Berlin\"\n", + "338,\"Dresden\",\"Dresden\",\"Germany\",\"DRS\",\"EDDC\",51.132767,13.767161,755,1,\"E\",\"Europe/Berlin\"\n", + "339,\"Erfurt\",\"Erfurt\",\"Germany\",\"ERF\",\"EDDE\",50.979811,10.958106,1036,1,\"E\",\"Europe/Berlin\"\n", + "340,\"Frankfurt Main\",\"Frankfurt\",\"Germany\",\"FRA\",\"EDDF\",50.026421,8.543125,364,1,\"E\",\"Europe/Berlin\"\n", + "341,\"Munster Osnabruck\",\"Munster\",\"Germany\",\"FMO\",\"EDDG\",52.134642,7.684831,160,1,\"E\",\"Europe/Berlin\"\n", + "342,\"Hamburg\",\"Hamburg\",\"Germany\",\"HAM\",\"EDDH\",53.630389,9.988228,53,1,\"E\",\"Europe/Berlin\"\n", + "343,\"Tempelhof\",\"Berlin\",\"Germany\",\"THF\",\"EDDI\",52.473025,13.403944,167,1,\"E\",\"Europe/Berlin\"\n", + "344,\"Koln Bonn\",\"Cologne\",\"Germany\",\"CGN\",\"EDDK\",50.865917,7.142744,302,1,\"E\",\"Europe/Berlin\"\n", + "345,\"Dusseldorf\",\"Duesseldorf\",\"Germany\",\"DUS\",\"EDDL\",51.289453,6.766775,147,1,\"E\",\"Europe/Berlin\"\n", + "346,\"Franz Josef Strauss\",\"Munich\",\"Germany\",\"MUC\",\"EDDM\",48.353783,11.786086,1487,1,\"E\",\"Europe/Berlin\"\n", + "347,\"Nurnberg\",\"Nuernberg\",\"Germany\",\"NUE\",\"EDDN\",49.4987,11.066897,1046,1,\"E\",\"Europe/Berlin\"\n", + "348,\"Leipzig Halle\",\"Leipzig\",\"Germany\",\"LEJ\",\"EDDP\",51.432447,12.241633,465,1,\"E\",\"Europe/Berlin\"\n", + "349,\"Saarbrucken\",\"Saarbruecken\",\"Germany\",\"SCN\",\"EDDR\",49.214553,7.109508,1058,1,\"E\",\"Europe/Berlin\"\n", + "350,\"Stuttgart\",\"Stuttgart\",\"Germany\",\"STR\",\"EDDS\",48.689878,9.221964,1276,1,\"E\",\"Europe/Berlin\"\n", + "351,\"Tegel\",\"Berlin\",\"Germany\",\"TXL\",\"EDDT\",52.559686,13.287711,122,1,\"E\",\"Europe/Berlin\"\n", + "352,\"Hannover\",\"Hannover\",\"Germany\",\"HAJ\",\"EDDV\",52.461056,9.685078,183,1,\"E\",\"Europe/Berlin\"\n", + "353,\"Neuenland\",\"Bremen\",\"Germany\",\"BRE\",\"EDDW\",53.0475,8.786667,14,1,\"E\",\"Europe/Berlin\"\n", + "354,\"Egelsbach\",\"Egelsbach\",\"Germany\",\"\",\"EDFE\",49.960833,8.6415,385,1,\"E\",\"Europe/Berlin\"\n", + "355,\"Frankfurt Hahn\",\"Hahn\",\"Germany\",\"HHN\",\"EDFH\",49.948672,7.263892,1649,1,\"E\",\"Europe/Berlin\"\n", + "356,\"Mannheim 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Blankensee\",\"Luebeck\",\"Germany\",\"LBC\",\"EDHL\",53.805367,10.719222,53,1,\"E\",\"Europe/Berlin\"\n", + "365,\"Dahlemer Binz\",\"Dahlemer Binz\",\"Germany\",\"\",\"EDKV\",50.405888,6.528083,1896,1,\"E\",\"Europe/Berlin\"\n", + "366,\"Meinerzhagen\",\"Meinerzhagen\",\"Germany\",\"\",\"EDKZ\",51.099445,7.601944,1548,1,\"E\",\"Europe/Berlin\"\n", + "367,\"Arnsberg Menden\",\"Arnsberg\",\"Germany\",\"ZCA\",\"EDLA\",51.483333,7.899333,794,1,\"E\",\"Europe/Berlin\"\n", + "368,\"Essen Mulheim\",\"Essen\",\"Germany\",\"ESS\",\"EDLE\",51.402333,6.937333,424,1,\"E\",\"Europe/Berlin\"\n", + "369,\"Bielefeld\",\"Bielefeld\",\"Germany\",\"\",\"EDLI\",51.964833,8.544833,454,1,\"E\",\"Europe/Berlin\"\n", + "370,\"Monchengladbach\",\"Moenchengladbach\",\"Germany\",\"MGL\",\"EDLN\",51.230356,6.504494,125,1,\"E\",\"Europe/Berlin\"\n", + "371,\"Paderborn Lippstadt\",\"Paderborn\",\"Germany\",\"PAD\",\"EDLP\",51.614089,8.616317,699,1,\"E\",\"Europe/Berlin\"\n", + "372,\"Stadtlohn 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"388,\"Hof Plauen\",\"Hof\",\"Germany\",\"HOQ\",\"EDQM\",50.288836,11.854919,1960,1,\"E\",\"Europe/Berlin\"\n", + "389,\"Hassfurt Schweinfurt\",\"Hassfurt\",\"Germany\",\"\",\"EDQT\",50.018,10.5295,718,1,\"E\",\"Europe/Berlin\"\n", + "390,\"Koblenz Winningen\",\"Koblenz\",\"Germany\",\"ZNV\",\"EDRK\",50.3255,7.528667,640,1,\"E\",\"Europe/Berlin\"\n", + "391,\"Trier Fohren\",\"Trier\",\"Germany\",\"ZQF\",\"EDRT\",49.8635,6.788167,665,1,\"E\",\"Europe/Berlin\"\n", + "392,\"Speyer\",\"Speyer\",\"Germany\",\"ZQC\",\"EDRY\",49.302776,8.451195,312,1,\"E\",\"Europe/Berlin\"\n", + "393,\"Zweibrucken\",\"Zweibruecken\",\"Germany\",\"\",\"EDRZ\",49.209525,7.400647,1133,1,\"E\",\"Europe/Berlin\"\n", + "394,\"Donaueschingen Villingen\",\"Donaueschingen\",\"Germany\",\"ZQL\",\"EDTD\",47.973331,8.522223,2231,1,\"E\",\"Europe/Berlin\"\n", + "395,\"Freiburg\",\"Freiburg\",\"Germany\",\"\",\"EDTF\",48.022653,7.832583,799,1,\"E\",\"Europe/Berlin\"\n", + "396,\"Mengen 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"412,\"Kardla\",\"Kardla\",\"Estonia\",\"KDL\",\"EEKA\",58.990756,22.830733,18,2,\"E\",\"Europe/Tallinn\"\n", + "413,\"Kuressaare\",\"Kuressaare\",\"Estonia\",\"URE\",\"EEKE\",58.229883,22.509494,14,2,\"E\",\"Europe/Tallinn\"\n", + "414,\"Parnu\",\"Parnu\",\"Estonia\",\"EPU\",\"EEPU\",58.419044,24.472819,47,2,\"E\",\"Europe/Tallinn\"\n", + "415,\"Tallinn\",\"Tallinn-ulemiste International\",\"Estonia\",\"TLL\",\"EETN\",59.413317,24.832844,131,2,\"E\",\"Europe/Tallinn\"\n", + "416,\"Tartu\",\"Tartu\",\"Estonia\",\"TAY\",\"EETU\",58.307461,26.690428,219,2,\"E\",\"Europe/Tallinn\"\n", + "417,\"Enontekio\",\"Enontekio\",\"Finland\",\"ENF\",\"EFET\",68.362586,23.424322,1005,2,\"E\",\"Europe/Helsinki\"\n", + "418,\"Eura\",\"Eura\",\"Finland\",\"\",\"EFEU\",61.116112,22.201389,259,2,\"E\",\"Europe/Helsinki\"\n", + "419,\"Halli\",\"Halli\",\"Finland\",\"KEV\",\"EFHA\",61.85605,24.7866,479,2,\"E\",\"Europe/Helsinki\"\n", + "420,\"Helsinki 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"428,\"Ivalo\",\"Ivalo\",\"Finland\",\"IVL\",\"EFIV\",68.607269,27.405328,481,2,\"E\",\"Europe/Helsinki\"\n", + "429,\"Joensuu\",\"Joensuu\",\"Finland\",\"JOE\",\"EFJO\",62.662906,29.60755,398,2,\"E\",\"Europe/Helsinki\"\n", + "430,\"Jyvaskyla\",\"Jyvaskyla\",\"Finland\",\"JYV\",\"EFJY\",62.399453,25.678253,459,2,\"E\",\"Europe/Helsinki\"\n", + "431,\"Kauhava\",\"Kauhava\",\"Finland\",\"KAU\",\"EFKA\",63.127078,23.051442,151,2,\"E\",\"Europe/Helsinki\"\n", + "432,\"Kemi Tornio\",\"Kemi\",\"Finland\",\"KEM\",\"EFKE\",65.781889,24.5991,61,2,\"E\",\"Europe/Helsinki\"\n", + "433,\"Kajaani\",\"Kajaani\",\"Finland\",\"KAJ\",\"EFKI\",64.285472,27.692414,483,2,\"E\",\"Europe/Helsinki\"\n", + "434,\"Kauhajoki\",\"Kauhajoki\",\"Finland\",\"\",\"EFKJ\",62.462502,22.393055,407,2,\"E\",\"Europe/Helsinki\"\n", + "435,\"Kruunupyy\",\"Kruunupyy\",\"Finland\",\"KOK\",\"EFKK\",63.721172,23.143131,84,2,\"E\",\"Europe/Helsinki\"\n", + 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"444,\"Mikkeli\",\"Mikkeli\",\"Finland\",\"MIK\",\"EFMI\",61.6866,27.201794,329,2,\"E\",\"Europe/Helsinki\"\n", + "445,\"Nummela\",\"Nummela\",\"Finland\",\"\",\"EFNU\",60.333889,24.296389,367,2,\"E\",\"Europe/Helsinki\"\n", + "446,\"Oulu\",\"Oulu\",\"Finland\",\"OUL\",\"EFOU\",64.930061,25.354564,47,2,\"E\",\"Europe/Helsinki\"\n", + "447,\"Piikajarvi\",\"Piikajarvi\",\"Finland\",\"\",\"EFPI\",61.245558,22.193356,148,2,\"E\",\"Europe/Helsinki\"\n", + "448,\"Pori\",\"Pori\",\"Finland\",\"POR\",\"EFPO\",61.461686,21.799983,44,2,\"E\",\"Europe/Helsinki\"\n", + "449,\"Pudasjarvi\",\"Pudasjarvi\",\"Finland\",\"\",\"EFPU\",65.402222,26.946944,397,2,\"E\",\"Europe/Helsinki\"\n", + "450,\"Pyhasalmi\",\"Pyhasalmi\",\"Finland\",\"\",\"EFPY\",63.731917,25.926306,528,2,\"E\",\"Europe/Helsinki\"\n", + "451,\"Raahe Pattijoki\",\"Pattijoki\",\"Finland\",\"\",\"EFRH\",64.688056,24.695833,118,2,\"E\",\"Europe/Helsinki\"\n", + "452,\"Rantasalmi\",\"Rantasalmi\",\"Finland\",\"\",\"EFRN\",62.065481,28.356494,292,2,\"E\",\"Europe/Helsinki\"\n", + "453,\"Rovaniemi\",\"Rovaniemi\",\"Finland\",\"RVN\",\"EFRO\",66.564822,25.830411,642,2,\"E\",\"Europe/Helsinki\"\n", + "454,\"Rayskala\",\"Rayskala\",\"Finland\",\"\",\"EFRY\",60.744722,24.107778,407,2,\"E\",\"Europe/Helsinki\"\n", + "455,\"Savonlinna\",\"Savonlinna\",\"Finland\",\"SVL\",\"EFSA\",61.943064,28.945136,311,2,\"E\",\"Europe/Helsinki\"\n", + "456,\"Selanpaa\",\"Selanpaa\",\"Finland\",\"\",\"EFSE\",61.062389,26.798861,417,2,\"E\",\"Europe/Helsinki\"\n", + "457,\"Sodankyla\",\"Sodankyla\",\"Finland\",\"SOT\",\"EFSO\",67.395033,26.619133,602,2,\"E\",\"Europe/Helsinki\"\n", + "458,\"Tampere Pirkkala\",\"Tampere\",\"Finland\",\"TMP\",\"EFTP\",61.414147,23.604392,390,2,\"E\",\"Europe/Helsinki\"\n", + "459,\"Teisko\",\"Teisko\",\"Finland\",\"\",\"EFTS\",61.77335,24.027006,515,2,\"E\",\"Europe/Helsinki\"\n", + "460,\"Turku\",\"Turku\",\"Finland\",\"TKU\",\"EFTU\",60.514142,22.262808,161,2,\"E\",\"Europe/Helsinki\"\n", + "461,\"Utti\",\"Utti\",\"Finland\",\"QVY\",\"EFUT\",60.896394,26.938353,339,2,\"E\",\"Europe/Helsinki\"\n", + "462,\"Vaasa\",\"Vaasa\",\"Finland\",\"VAA\",\"EFVA\",63.05065,21.762175,19,2,\"E\",\"Europe/Helsinki\"\n", + "463,\"Varkaus\",\"Varkaus\",\"Finland\",\"VRK\",\"EFVR\",62.171111,27.868611,286,2,\"E\",\"Europe/Helsinki\"\n", + "464,\"Ylivieska\",\"Ylivieska-raudaskyla\",\"Finland\",\"\",\"EFYL\",64.060547,24.715953,252,2,\"E\",\"Europe/Helsinki\"\n", + "465,\"Belfast Intl\",\"Belfast\",\"United Kingdom\",\"BFS\",\"EGAA\",54.6575,-6.215833,268,0,\"E\",\"Europe/London\"\n", + "466,\"St Angelo\",\"Enniskillen\",\"United Kingdom\",\"ENK\",\"EGAB\",54.398889,-7.651667,155,0,\"E\",\"Europe/London\"\n", + "467,\"Belfast City\",\"Belfast\",\"United Kingdom\",\"BHD\",\"EGAC\",54.618056,-5.8725,15,0,\"E\",\"Europe/London\"\n", + "468,\"City of Derry\",\"Londonderry\",\"United 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Mountford\",\"Wellesbourne\",\"United Kingdom\",\"\",\"EGBW\",52.192222,-1.614444,159,0,\"E\",\"Europe/London\"\n", + "478,\"Manchester\",\"Manchester\",\"United Kingdom\",\"MAN\",\"EGCC\",53.353744,-2.27495,257,0,\"E\",\"Europe/London\"\n", + "479,\"Manchester Woodford\",\"Woodfort\",\"United Kingdom\",\"\",\"EGCD\",53.338056,-2.148889,295,0,\"E\",\"Europe/London\"\n", + "480,\"Chivenor\",\"Chivenor\",\"United Kingdom\",\"\",\"EGDC\",51.087167,-4.150339,27,0,\"E\",\"Europe/London\"\n", + "481,\"St Mawgan\",\"Newquai\",\"United Kingdom\",\"NQY\",\"EGDG\",50.440558,-4.995408,390,0,\"E\",\"Europe/London\"\n", + "482,\"Lyneham\",\"Lyneham\",\"United Kingdom\",\"LYE\",\"EGDL\",51.505144,-1.993428,513,0,\"E\",\"Europe/London\"\n", + "483,\"Boscombe Down\",\"Boscombe Down\",\"United Kingdom\",\"\",\"EGDM\",51.152189,-1.747414,407,0,\"E\",\"Europe/London\"\n", + "484,\"Culdrose\",\"Culdrose\",\"United Kingdom\",\"\",\"EGDR\",50.086092,-5.255711,267,0,\"E\",\"Europe/London\"\n", + "485,\"St Athan\",\"St. Athan\",\"United Kingdom\",\"\",\"EGDX\",51.404811,-3.43575,163,0,\"E\",\"Europe/London\"\n", + "486,\"Yeovilton\",\"Yeovilton\",\"United Kingdom\",\"YEO\",\"EGDY\",51.009358,-2.638819,75,0,\"E\",\"Europe/London\"\n", + "487,\"Haverfordwest\",\"Haverfordwest\",\"United Kingdom\",\"\",\"EGFE\",51.833056,-4.961111,159,0,\"E\",\"Europe/London\"\n", + "488,\"Cardiff\",\"Cardiff\",\"United Kingdom\",\"CWL\",\"EGFF\",51.396667,-3.343333,220,0,\"E\",\"Europe/London\"\n", + "489,\"Swansea\",\"Swansea\",\"United Kingdom\",\"SWS\",\"EGFH\",51.605333,-4.067833,299,0,\"E\",\"Europe/London\"\n", + "490,\"Bristol\",\"Bristol\",\"United Kingdom\",\"BRS\",\"EGGD\",51.382669,-2.719089,622,0,\"E\",\"Europe/London\"\n", + "491,\"Liverpool\",\"Liverpool\",\"United Kingdom\",\"LPL\",\"EGGP\",53.333611,-2.849722,80,0,\"E\",\"Europe/London\"\n", + "492,\"Luton\",\"London\",\"United Kingdom\",\"LTN\",\"EGGW\",51.874722,-0.368333,526,0,\"E\",\"Europe/London\"\n", + "493,\"Plymouth\",\"Plymouth\",\"United Kingdom\",\"PLH\",\"EGHD\",50.422778,-4.105833,476,0,\"E\",\"Europe/London\"\n", + "494,\"Bournemouth\",\"Bournemouth\",\"United Kingdom\",\"BOH\",\"EGHH\",50.78,-1.8425,38,0,\"E\",\"Europe/London\"\n", + "495,\"Southampton\",\"Southampton\",\"United Kingdom\",\"SOU\",\"EGHI\",50.950261,-1.356803,44,0,\"E\",\"Europe/London\"\n", + "496,\"Lasham\",\"Lasham\",\"United Kingdom\",\"QLA\",\"EGHL\",51.187167,-1.0335,618,0,\"E\",\"Europe/London\"\n", + "497,\"Alderney\",\"Alderney\",\"Guernsey\",\"ACI\",\"EGJA\",49.706111,-2.214722,290,0,\"E\",\"Europe/Guernsey\"\n", + "498,\"Guernsey\",\"Guernsey\",\"Guernsey\",\"GCI\",\"EGJB\",49.434956,-2.601969,336,0,\"E\",\"Europe/Guernsey\"\n", + "499,\"Jersey\",\"Jersey\",\"Jersey\",\"JER\",\"EGJJ\",49.207947,-2.195508,277,0,\"E\",\"Europe/Jersey\"\n", + "500,\"Shoreham\",\"Shoreham By Sea\",\"United Kingdom\",\"ESH\",\"EGKA\",50.835556,-0.297222,7,0,\"E\",\"Europe/London\"\n", + "501,\"Biggin Hill\",\"Biggin 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"525,\"Ternhill\",\"Ternhill\",\"United Kingdom\",\"\",\"EGOE\",52.871164,-2.533561,272,0,\"E\",\"Europe/London\"\n", + "526,\"Shawbury\",\"Shawbury\",\"United Kingdom\",\"\",\"EGOS\",52.798169,-2.668042,249,0,\"E\",\"Europe/London\"\n", + "528,\"Woodvale\",\"Woodvale\",\"United Kingdom\",\"\",\"EGOW\",53.581575,-3.055522,37,0,\"E\",\"Europe/London\"\n", + "529,\"Kirkwall\",\"Kirkwall\",\"United Kingdom\",\"KOI\",\"EGPA\",58.957778,-2.905,50,0,\"E\",\"Europe/London\"\n", + "530,\"Sumburgh\",\"Sumburgh\",\"United Kingdom\",\"LSI\",\"EGPB\",59.878889,-1.295556,20,0,\"E\",\"Europe/London\"\n", + "531,\"Wick\",\"Wick\",\"United Kingdom\",\"WIC\",\"EGPC\",58.458889,-3.093056,126,0,\"E\",\"Europe/London\"\n", + "532,\"Dyce\",\"Aberdeen\",\"United Kingdom\",\"ABZ\",\"EGPD\",57.201944,-2.197778,215,0,\"E\",\"Europe/London\"\n", + "533,\"Inverness\",\"Inverness\",\"United Kingdom\",\"INV\",\"EGPE\",57.5425,-4.0475,31,0,\"E\",\"Europe/London\"\n", + "534,\"Glasgow\",\"Glasgow\",\"United 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"582,\"Maastricht\",\"Maastricht\",\"Netherlands\",\"MST\",\"EHBK\",50.911658,5.770144,375,1,\"E\",\"Europe/Amsterdam\"\n", + "583,\"Deelen\",\"Deelen\",\"Netherlands\",\"\",\"EHDL\",52.060556,5.873056,158,1,\"E\",\"Europe/Amsterdam\"\n", + "584,\"Drachten\",\"Drachten\",\"Netherlands\",\"\",\"EHDR\",53.119167,6.129722,14,1,\"E\",\"Europe/Amsterdam\"\n", + "585,\"Eindhoven\",\"Eindhoven\",\"Netherlands\",\"EIN\",\"EHEH\",51.450139,5.374528,74,1,\"E\",\"Europe/Amsterdam\"\n", + "586,\"Eelde\",\"Groningen\",\"Netherlands\",\"GRQ\",\"EHGG\",53.11972,6.579444,17,1,\"E\",\"Europe/Amsterdam\"\n", + "587,\"Gilze Rijen\",\"Gilze-rijen\",\"Netherlands\",\"\",\"EHGR\",51.567389,4.931833,49,1,\"E\",\"Europe/Amsterdam\"\n", + "588,\"De Kooy\",\"De Kooy\",\"Netherlands\",\"DHR\",\"EHKD\",52.923353,4.780625,3,1,\"E\",\"Europe/Amsterdam\"\n", + "589,\"Lelystad\",\"Lelystad\",\"Netherlands\",\"\",\"EHLE\",52.460278,5.527222,-13,1,\"E\",\"Europe/Amsterdam\"\n", + "590,\"Leeuwarden\",\"Leeuwarden\",\"Netherlands\",\"LWR\",\"EHLW\",53.228611,5.760556,3,1,\"E\",\"Europe/Amsterdam\"\n", + "591,\"Rotterdam\",\"Rotterdam\",\"Netherlands\",\"RTM\",\"EHRD\",51.956944,4.437222,-15,1,\"E\",\"Europe/Amsterdam\"\n", + "592,\"Soesterberg\",\"Soesterberg\",\"Netherlands\",\"UTC\",\"EHSB\",52.1273,5.27619,66,1,\"E\",\"Europe/Amsterdam\"\n", + "593,\"Twenthe\",\"Enschede\",\"Netherlands\",\"ENS\",\"EHTW\",52.27,6.874167,114,1,\"E\",\"Europe/Amsterdam\"\n", + "594,\"Valkenburg\",\"Valkenburg\",\"Netherlands\",\"LID\",\"EHVB\",52.166139,4.417944,0,1,\"E\",\"Europe/Amsterdam\"\n", + "595,\"Woensdrecht\",\"Woensdrecht\",\"Netherlands\",\"WOE\",\"EHWO\",51.449092,4.342031,63,1,\"E\",\"Europe/Amsterdam\"\n", + "596,\"Cork\",\"Cork\",\"Ireland\",\"ORK\",\"EICK\",51.841269,-8.491111,502,0,\"E\",\"Europe/Dublin\"\n", + "597,\"Galway\",\"Galway\",\"Ireland\",\"GWY\",\"EICM\",53.300175,-8.941592,81,0,\"E\",\"Europe/Dublin\"\n", + "599,\"Dublin\",\"Dublin\",\"Ireland\",\"DUB\",\"EIDW\",53.421333,-6.270075,242,0,\"E\",\"Europe/Dublin\"\n", + "600,\"Ireland West Knock\",\"Connaught\",\"Ireland\",\"NOC\",\"EIKN\",53.910297,-8.818492,665,0,\"E\",\"Europe/Dublin\"\n", + "601,\"Kerry\",\"Kerry\",\"Ireland\",\"KIR\",\"EIKY\",52.180878,-9.523783,112,0,\"E\",\"Europe/Dublin\"\n", + "602,\"Casement\",\"Casement\",\"Ireland\",\"\",\"EIME\",53.301667,-6.451333,319,0,\"E\",\"Europe/Dublin\"\n", + "603,\"Shannon\",\"Shannon\",\"Ireland\",\"SNN\",\"EINN\",52.701978,-8.924817,46,0,\"E\",\"Europe/Dublin\"\n", + "604,\"Sligo\",\"Sligo\",\"Ireland\",\"SXL\",\"EISG\",54.280214,-8.599206,11,0,\"E\",\"Europe/Dublin\"\n", + "605,\"Waterford\",\"Waterford\",\"Ireland\",\"WAT\",\"EIWF\",52.1872,-7.086964,119,0,\"E\",\"Europe/Dublin\"\n", + "607,\"Aarhus\",\"Aarhus\",\"Denmark\",\"AAR\",\"EKAH\",56.300017,10.619008,82,1,\"E\",\"Europe/Copenhagen\"\n", + "608,\"Billund\",\"Billund\",\"Denmark\",\"BLL\",\"EKBI\",55.740322,9.151778,247,1,\"E\",\"Europe/Copenhagen\"\n", + "609,\"Kastrup\",\"Copenhagen\",\"Denmark\",\"CPH\",\"EKCH\",55.617917,12.655972,17,1,\"E\",\"Europe/Copenhagen\"\n", + "610,\"Esbjerg\",\"Esbjerg\",\"Denmark\",\"EBJ\",\"EKEB\",55.525942,8.553403,97,1,\"E\",\"Europe/Copenhagen\"\n", + "611,\"Gronholt Hillerod\",\"Gronholt\",\"Denmark\",\"\",\"EKGH\",55.941387,12.382222,97,1,\"E\",\"Europe/Copenhagen\"\n", + "612,\"Karup\",\"Karup\",\"Denmark\",\"KRP\",\"EKKA\",56.297458,9.124628,170,1,\"E\",\"Europe/Copenhagen\"\n", + "613,\"Laeso\",\"Laeso\",\"Denmark\",\"\",\"EKLS\",57.277228,11.000083,25,1,\"E\",\"Europe/Copenhagen\"\n", + "614,\"Lolland Falster Maribo\",\"Maribo\",\"Denmark\",\"\",\"EKMB\",54.699344,11.440117,16,1,\"E\",\"Europe/Copenhagen\"\n", + "615,\"Odense\",\"Odense\",\"Denmark\",\"ODE\",\"EKOD\",55.476664,10.330933,56,1,\"E\",\"Europe/Copenhagen\"\n", + "616,\"Krusa Padborg\",\"Krusa-padborg\",\"Denmark\",\"\",\"EKPB\",54.870306,9.279014,88,1,\"E\",\"Europe/Copenhagen\"\n", + "617,\"Roskilde\",\"Copenhagen\",\"Denmark\",\"RKE\",\"EKRK\",55.585567,12.131428,146,1,\"E\",\"Europe/Copenhagen\"\n", + "618,\"Bornholm Ronne\",\"Ronne\",\"Denmark\",\"RNN\",\"EKRN\",55.063267,14.759558,52,1,\"E\",\"Europe/Copenhagen\"\n", + "619,\"Sonderborg\",\"Soenderborg\",\"Denmark\",\"SGD\",\"EKSB\",54.964367,9.791731,24,1,\"E\",\"Europe/Copenhagen\"\n", + "621,\"Skrydstrup\",\"Skrydstrup\",\"Denmark\",\"SKS\",\"EKSP\",55.225553,9.263931,141,1,\"E\",\"Europe/Copenhagen\"\n", + "622,\"Skive\",\"Skive\",\"Denmark\",\"\",\"EKSV\",56.550208,9.172983,74,1,\"E\",\"Europe/Copenhagen\"\n", + "623,\"Thisted\",\"Thisted\",\"Denmark\",\"TED\",\"EKTS\",57.0688,8.705225,23,1,\"E\",\"Europe/Copenhagen\"\n", + "624,\"Kolding Vamdrup\",\"Kolding\",\"Denmark\",\"\",\"EKVD\",55.436283,9.330925,143,1,\"E\",\"Europe/Copenhagen\"\n", + "625,\"Vagar\",\"Vagar\",\"Faroe 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"634,\"Bronnoy\",\"Bronnoysund\",\"Norway\",\"BNN\",\"ENBN\",65.461111,12.2175,25,1,\"E\",\"Europe/Oslo\"\n", + "635,\"Bodo\",\"Bodo\",\"Norway\",\"BOO\",\"ENBO\",67.269167,14.365278,42,1,\"E\",\"Europe/Oslo\"\n", + "636,\"Flesland\",\"Bergen\",\"Norway\",\"BGO\",\"ENBR\",60.293386,5.218142,170,1,\"E\",\"Europe/Oslo\"\n", + "637,\"Batsfjord\",\"Batsfjord\",\"Norway\",\"BJF\",\"ENBS\",70.600278,29.6925,490,1,\"E\",\"Europe/Oslo\"\n", + "638,\"Kjevik\",\"Kristiansand\",\"Norway\",\"KRS\",\"ENCN\",58.204214,8.085369,57,1,\"E\",\"Europe/Oslo\"\n", + "639,\"Dagali\",\"Geilo\",\"Norway\",\"\",\"ENDI\",60.416667,8.512778,2618,1,\"E\",\"Europe/Oslo\"\n", + "640,\"Bardufoss\",\"Bardufoss\",\"Norway\",\"BDU\",\"ENDU\",69.055758,18.540356,252,1,\"E\",\"Europe/Oslo\"\n", + "641,\"Evenes\",\"Harstad/Narvik\",\"Norway\",\"EVE\",\"ENEV\",68.4913,16.678108,84,1,\"E\",\"Europe/Oslo\"\n", + "642,\"Leirin\",\"Fagernes\",\"Norway\",\"VDB\",\"ENFG\",61.015556,9.288056,2697,1,\"E\",\"Europe/Oslo\"\n", + 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Lech\",\"Landsberg\",\"Germany\",\"\",\"ETSA\",48.0705,10.906,2044,1,\"E\",\"Europe/Berlin\"\n", + "782,\"Buchel\",\"Buechel\",\"Germany\",\"\",\"ETSB\",50.173833,7.063333,1568,1,\"E\",\"Europe/Berlin\"\n", + "783,\"Erding\",\"Erding\",\"Germany\",\"\",\"ETSE\",48.322333,11.948667,1515,1,\"E\",\"Europe/Berlin\"\n", + "784,\"Furstenfeldbruck\",\"Fuerstenfeldbruck\",\"Germany\",\"FEL\",\"ETSF\",48.205667,11.267,1703,1,\"E\",\"Europe/Berlin\"\n", + "785,\"Holzdorf\",\"Holzdorf\",\"Germany\",\"\",\"ETSH\",51.767833,13.167667,265,1,\"E\",\"Europe/Berlin\"\n", + "786,\"Ingolstadt Manching\",\"Ingolstadt\",\"Germany\",\"\",\"ETSI\",48.715667,11.534,1202,1,\"E\",\"Europe/Berlin\"\n", + "787,\"Lechfeld\",\"Lechfeld\",\"Germany\",\"\",\"ETSL\",48.1855,10.861167,1822,1,\"E\",\"Europe/Berlin\"\n", + "788,\"Neuburg\",\"Neuburg\",\"Germany\",\"\",\"ETSN\",48.711,11.2115,1249,1,\"E\",\"Europe/Berlin\"\n", + "789,\"Gutersloh\",\"Guetersloh\",\"Germany\",\"GUT\",\"ETUO\",51.922833,8.306333,236,1,\"E\",\"Europe/Berlin\"\n", + "790,\"Alexander Bay\",\"Alexander Bay\",\"South Africa\",\"ALJ\",\"FAAB\",-28.575001,16.533333,98,2,\"U\",\"Africa/Johannesburg\"\n", + "791,\"Aggeneys\",\"Aggeneys\",\"South Africa\",\"AGZ\",\"FAAG\",-29.281767,18.813869,2648,2,\"U\",\"Africa/Johannesburg\"\n", + "792,\"Brakpan\",\"Brakpan\",\"South Africa\",\"\",\"FABB\",-26.23865,28.301769,5300,2,\"U\",\"Africa/Johannesburg\"\n", + "793,\"Bhisho\",\"Bisho\",\"South Africa\",\"BIY\",\"FABE\",-32.89715,27.279111,1950,2,\"U\",\"Africa/Johannesburg\"\n", + "794,\"Bloemfontein Intl\",\"Bloemfontein\",\"South Africa\",\"BFN\",\"FABL\",-29.092722,26.302444,4458,2,\"U\",\"Africa/Johannesburg\"\n", + "795,\"Bethlehem\",\"Bethlehem\",\"South Africa\",\"\",\"FABM\",-28.248392,28.336125,5561,2,\"U\",\"Africa/Johannesburg\"\n", + "796,\"Bothaville\",\"Bothaville\",\"South 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"812,\"Gariep Dam\",\"Hendrik Verwoerddam\",\"South Africa\",\"\",\"FAHV\",-30.562164,25.528286,4176,2,\"U\",\"Africa/Johannesburg\"\n", + "813,\"Johannesburg Intl\",\"Johannesburg\",\"South Africa\",\"JNB\",\"FAJS\",-26.139166,28.246,5558,2,\"U\",\"Africa/Johannesburg\"\n", + "814,\"P C Pelser\",\"Klerksdorp\",\"South Africa\",\"\",\"FAKD\",-26.871064,26.718003,4444,2,\"U\",\"Africa/Johannesburg\"\n", + "815,\"Kimberley\",\"Kimberley\",\"South Africa\",\"KIM\",\"FAKM\",-28.802834,24.765167,3950,2,\"U\",\"Africa/Johannesburg\"\n", + "816,\"Krugersdorp\",\"Krugersdorp\",\"South Africa\",\"\",\"FAKR\",-26.080978,27.725667,5499,2,\"U\",\"Africa/Johannesburg\"\n", + "817,\"Kroonstad\",\"Kroonstad\",\"South Africa\",\"\",\"FAKS\",-27.660617,27.315761,4700,2,\"U\",\"Africa/Johannesburg\"\n", + "818,\"Johan Pienaar\",\"Kuruman\",\"South Africa\",\"\",\"FAKU\",-27.456667,23.411388,4382,2,\"U\",\"Africa/Johannesburg\"\n", + "819,\"Kleinsee\",\"Kleinsee\",\"South 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"835,\"Nylstroom\",\"Nylstroom\",\"South Africa\",\"\",\"FANY\",-24.686056,28.434944,3900,2,\"U\",\"Africa/Johannesburg\"\n", + "836,\"Overberg\",\"Overberg\",\"South Africa\",\"\",\"FAOB\",-34.554861,20.250681,52,2,\"U\",\"Africa/Johannesburg\"\n", + "837,\"Oudtshoorn\",\"Oudtshoorn\",\"South Africa\",\"DUH\",\"FAOH\",-33.606967,22.188978,1063,2,\"U\",\"Africa/Johannesburg\"\n", + "838,\"Port Elizabeth Intl\",\"Port Elizabeth\",\"South Africa\",\"PLZ\",\"FAPE\",-33.984919,25.617275,226,2,\"U\",\"Africa/Johannesburg\"\n", + "839,\"Plettenberg Bay\",\"Plettenberg Bay\",\"South Africa\",\"\",\"FAPG\",-34.090279,23.327778,465,2,\"U\",\"Africa/Johannesburg\"\n", + "840,\"Phalaborwa\",\"Phalaborwa\",\"South Africa\",\"PHW\",\"FAPH\",-23.937166,31.15539,1432,2,\"U\",\"Africa/Johannesburg\"\n", + "841,\"Polokwane International\",\"Polokwane\",\"South Africa\",\"PTG\",\"FAPI\",-23.926089,29.484422,4354,2,\"U\",\"Africa/Johannesburg\"\n", + "842,\"Port St Johns\",\"Port Saint Johns\",\"South Africa\",\"\",\"FAPJ\",-31.605886,29.519786,1227,2,\"U\",\"Africa/Johannesburg\"\n", + "843,\"Pietermaritzburg\",\"Pietermaritzburg\",\"South Africa\",\"PZB\",\"FAPM\",-29.648975,30.398667,2423,2,\"U\",\"Africa/Johannesburg\"\n", + "844,\"Pilanesberg Intl\",\"Pilanesberg\",\"South Africa\",\"NTY\",\"FAPN\",-25.333822,27.173358,3412,2,\"U\",\"Africa/Johannesburg\"\n", + "845,\"Polokwane Intl\",\"Potgietersrus\",\"South Africa\",\"\",\"FAPP\",-23.845306,29.458611,4076,2,\"U\",\"Africa/Johannesburg\"\n", + "846,\"Potchefstroom\",\"Potchefstroom\",\"South Africa\",\"\",\"FAPS\",-26.670994,27.0819,4520,2,\"U\",\"Africa/Johannesburg\"\n", + "847,\"Parys\",\"Parys\",\"South Africa\",\"\",\"FAPY\",-26.889344,27.503417,4740,2,\"U\",\"Africa/Johannesburg\"\n", + "848,\"Queenstown\",\"Queenstown\",\"South Africa\",\"UTW\",\"FAQT\",-31.920197,26.882206,3637,2,\"U\",\"Africa/Johannesburg\"\n", + "849,\"Richards Bay\",\"Richard's Bay\",\"South Africa\",\"RCB\",\"FARB\",-28.741039,32.092111,109,2,\"U\",\"Africa/Johannesburg\"\n", + "850,\"Rustenburg\",\"Rustenburg\",\"South Africa\",\"\",\"FARG\",-25.6443,27.271119,3700,2,\"U\",\"Africa/Johannesburg\"\n", + "851,\"Robertson\",\"Robertson\",\"South Africa\",\"\",\"FARS\",-33.812181,19.902828,640,2,\"U\",\"Africa/Johannesburg\"\n", + "852,\"Springbok\",\"Springbok\",\"South Africa\",\"SBU\",\"FASB\",-29.689333,17.939611,2690,2,\"U\",\"Africa/Johannesburg\"\n", + "853,\"Secunda\",\"Secunda\",\"South Africa\",\"\",\"FASC\",-26.524083,29.170144,5250,2,\"U\",\"Africa/Johannesburg\"\n", + "854,\"Saldanha Vredenburg\",\"Saldanha\",\"South Africa\",\"\",\"FASD\",-32.964067,17.969331,50,2,\"U\",\"Africa/Johannesburg\"\n", + "855,\"Springs\",\"Springs\",\"South Africa\",\"\",\"FASI\",-26.248411,28.397508,5340,2,\"U\",\"Africa/Johannesburg\"\n", + "856,\"Swartkop\",\"Swartkop\",\"South Africa\",\"\",\"FASK\",-25.809717,28.164631,4780,2,\"U\",\"Africa/Johannesburg\"\n", + "857,\"Sishen\",\"Sishen\",\"South Africa\",\"SIS\",\"FASS\",-27.648606,22.999278,3848,2,\"U\",\"Africa/Johannesburg\"\n", + "858,\"Hendrik Swellengrebel\",\"Swellendam\",\"South Africa\",\"\",\"FASX\",-34.048222,20.474611,407,2,\"U\",\"Africa/Johannesburg\"\n", + "859,\"Skukuza\",\"Skukuza\",\"South Africa\",\"SZK\",\"FASZ\",-24.960944,31.588731,1020,2,\"U\",\"Africa/Johannesburg\"\n", + "860,\"Tommys Fld\",\"Tommy's Field\",\"South Africa\",\"\",\"FATF\",-28.260028,22.993178,4360,2,\"U\",\"Africa/Johannesburg\"\n", + "861,\"New Tempe\",\"Bloemfontein\",\"South Africa\",\"\",\"FATP\",-29.032928,26.157564,4547,2,\"U\",\"Africa/Johannesburg\"\n", + "862,\"Tutuka Power Station\",\"Tutuka\",\"South Africa\",\"\",\"FATT\",-26.776556,29.338778,5313,2,\"U\",\"Africa/Johannesburg\"\n", + "863,\"Tzaneen\",\"Tzaneen\",\"South Africa\",\"LTA\",\"FATZ\",-23.824417,30.329306,1914,2,\"U\",\"Africa/Johannesburg\"\n", + "864,\"Prince Mangosuthu Buthelezi\",\"Ulundi\",\"South Africa\",\"ULD\",\"FAUL\",-28.320586,31.416519,1720,2,\"U\",\"Africa/Johannesburg\"\n", + "865,\"Upington\",\"Upington\",\"South Africa\",\"UTN\",\"FAUP\",-28.399097,21.260239,2782,2,\"U\",\"Africa/Johannesburg\"\n", + "866,\"Mthatha\",\"Umtata\",\"South Africa\",\"UTT\",\"FAUT\",-31.547903,28.674289,2400,2,\"U\",\"Africa/Johannesburg\"\n", + "867,\"Vryburg\",\"Vryburg\",\"South Africa\",\"VRU\",\"FAVB\",-26.982408,24.728756,3920,2,\"U\",\"Africa/Johannesburg\"\n", + "868,\"Virginia\",\"Durban\",\"South Africa\",\"VIR\",\"FAVG\",-29.770606,31.058406,20,2,\"U\",\"Africa/Johannesburg\"\n", + "869,\"Vredendal\",\"Vredendal\",\"South Africa\",\"\",\"FAVR\",-31.640961,18.544789,330,2,\"U\",\"Africa/Johannesburg\"\n", + "870,\"Vereeniging\",\"Vereeniging\",\"South Africa\",\"\",\"FAVV\",-26.566372,27.960756,4846,2,\"U\",\"Africa/Johannesburg\"\n", + "871,\"Wonderboom\",\"Pretoria\",\"South Africa\",\"PRY\",\"FAWB\",-25.653858,28.224231,4095,2,\"U\",\"Africa/Johannesburg\"\n", + "872,\"Witbank\",\"Witbank\",\"South Africa\",\"\",\"FAWI\",-25.832294,29.192019,5078,2,\"U\",\"Africa/Johannesburg\"\n", + "873,\"Waterkloof Afb\",\"Waterkloof\",\"South Africa\",\"\",\"FAWK\",-25.83,28.2225,4940,2,\"U\",\"Africa/Johannesburg\"\n", + "874,\"Welkom\",\"Welkom\",\"South Africa\",\"WEL\",\"FAWM\",-27.998,26.669586,4399,2,\"U\",\"Africa/Johannesburg\"\n", + "875,\"Ysterplaat\",\"Ysterplaat\",\"South Africa\",\"\",\"FAYP\",-33.900244,18.498297,52,2,\"U\",\"Africa/Johannesburg\"\n", + "876,\"Zeerust\",\"Zeerust\",\"South Africa\",\"\",\"FAZR\",-25.598972,26.042333,4258,2,\"U\",\"Africa/Johannesburg\"\n", + "877,\"Francistown\",\"Francistown\",\"Botswana\",\"FRW\",\"FBFT\",-21.159597,27.474525,3283,2,\"U\",\"Africa/Gaborone\"\n", + "878,\"Jwaneng\",\"Jwaneng\",\"Botswana\",\"JWA\",\"FBJW\",-24.602333,24.690971,3900,2,\"U\",\"Africa/Gaborone\"\n", + "879,\"Kasane\",\"Kasane\",\"Botswana\",\"BBK\",\"FBKE\",-17.832875,25.1624,3289,2,\"U\",\"Africa/Gaborone\"\n", + "880,\"Maun\",\"Maun\",\"Botswana\",\"MUB\",\"FBMN\",-19.972564,23.431086,3093,2,\"U\",\"Africa/Gaborone\"\n", + "881,\"Sir Seretse Khama Intl\",\"Gaberone\",\"Botswana\",\"GBE\",\"FBSK\",-24.555225,25.918208,3299,2,\"U\",\"Africa/Gaborone\"\n", + "882,\"Selebi Phikwe\",\"Selebi-phikwe\",\"Botswana\",\"PKW\",\"FBSP\",-22.05835,27.828767,2925,2,\"U\",\"Africa/Gaborone\"\n", + "883,\"Maya Maya\",\"Brazzaville\",\"Congo (Brazzaville)\",\"BZV\",\"FCBB\",-4.2517,15.253031,1048,1,\"N\",\"Africa/Brazzaville\"\n", + "884,\"Owando\",\"Owando\",\"Congo (Kinshasa)\",\"FTX\",\"FCOO\",-0.53135,15.950094,1214,1,\"N\",\"Africa/Brazzaville\"\n", + "885,\"Ouesso\",\"Ouesso\",\"Congo (Kinshasa)\",\"OUE\",\"FCOU\",1.615994,16.037917,1158,1,\"N\",\"Africa/Brazzaville\"\n", + "886,\"Pointe Noire\",\"Pointe-noire\",\"Congo (Brazzaville)\",\"PNR\",\"FCPP\",-4.816028,11.886597,55,1,\"N\",\"Africa/Brazzaville\"\n", + "887,\"Matsapha\",\"Manzini\",\"Swaziland\",\"MTS\",\"FDMS\",-26.529022,31.307519,2075,2,\"U\",\"Africa/Mbabane\"\n", + "888,\"Bangui M Poko\",\"Bangui\",\"Central African Republic\",\"BGF\",\"FEFF\",4.398475,18.518786,1208,1,\"N\",\"Africa/Bangui\"\n", + "889,\"Berberati\",\"Berberati\",\"Central African Republic\",\"BBT\",\"FEFT\",4.221583,15.786369,1929,1,\"N\",\"Africa/Bangui\"\n", + "890,\"Bata\",\"Bata\",\"Equatorial Guinea\",\"BSG\",\"FGBT\",1.905469,9.805681,13,1,\"N\",\"Africa/Malabo\"\n", + "891,\"Malabo\",\"Malabo\",\"Equatorial Guinea\",\"SSG\",\"FGSL\",3.755267,8.708717,76,1,\"N\",\"Africa/Malabo\"\n", + "892,\"Ascension Aux Af\",\"Wide Awake\",\"Saint Helena\",\"\",\"FHAW\",-7.969597,-14.393664,278,0,\"N\",\"Atlantic/St_Helena\"\n", + "893,\"Sir Seewoosagur Ramgoolam Intl\",\"Plaisance\",\"Mauritius\",\"MRU\",\"FIMP\",-20.430235,57.6836,186,4,\"N\",\"Indian/Mauritius\"\n", + "894,\"Plaine Corail\",\"Rodriguez Island\",\"Mauritius\",\"RRG\",\"FIMR\",-19.757658,63.360983,95,4,\"N\",\"Indian/Mauritius\"\n", + "895,\"Diego Garcia Nsf\",\"Diego Garcia Island\",\"British Indian Ocean Territory\",\"\",\"FJDG\",-7.313267,72.411089,9,6,\"U\",\"Indian/Chagos\"\n", + "896,\"Tiko\",\"Tiko\",\"Cameroon\",\"TKC\",\"FKKC\",4.089192,9.360528,151,1,\"N\",\"Africa/Douala\"\n", + "897,\"Douala\",\"Douala\",\"Cameroon\",\"DLA\",\"FKKD\",4.006081,9.719481,33,1,\"N\",\"Africa/Douala\"\n", + "898,\"Salak\",\"Maroua\",\"Cameroon\",\"MVR\",\"FKKL\",10.451392,14.257361,1390,1,\"N\",\"Africa/Douala\"\n", + "899,\"Foumban Nkounja\",\"Foumban\",\"Cameroon\",\"FOM\",\"FKKM\",5.636919,10.750817,3963,1,\"N\",\"Africa/Douala\"\n", + "900,\"Ngaoundere\",\"N'gaoundere\",\"Cameroon\",\"NGE\",\"FKKN\",7.357011,13.559242,3655,1,\"N\",\"Africa/Douala\"\n", + "901,\"Garoua\",\"Garoua\",\"Cameroon\",\"GOU\",\"FKKR\",9.335892,13.370103,794,1,\"N\",\"Africa/Douala\"\n", + "902,\"Bafoussam\",\"Bafoussam\",\"Cameroon\",\"BFX\",\"FKKU\",5.536919,10.354583,4347,1,\"N\",\"Africa/Douala\"\n", + "903,\"Bamenda\",\"Bamenda\",\"Cameroon\",\"BPC\",\"FKKV\",6.039239,10.122639,4065,1,\"N\",\"Africa/Douala\"\n", + "904,\"Yaounde Ville\",\"Yaounde\",\"Cameroon\",\"YAO\",\"FKKY\",3.836039,11.523461,2464,1,\"N\",\"Africa/Douala\"\n", + "905,\"Kasompe\",\"Kasompe\",\"Zambia\",\"\",\"FLKE\",-12.572778,27.89395,4636,2,\"U\",\"Africa/Lusaka\"\n", + "906,\"Livingstone\",\"Livingstone\",\"Zambia\",\"LVI\",\"FLLI\",-17.821756,25.822692,3302,2,\"U\",\"Africa/Lusaka\"\n", + "907,\"Lusaka Intl\",\"Lusaka\",\"Zambia\",\"LUN\",\"FLLS\",-15.330817,28.452628,3779,2,\"U\",\"Africa/Lusaka\"\n", + "908,\"Mfuwe\",\"Mfuwe\",\"Zambia\",\"MFU\",\"FLMF\",-13.258878,31.936581,1853,2,\"U\",\"Africa/Lusaka\"\n", + "909,\"Mongu\",\"Mongu\",\"Zambia\",\"\",\"FLMG\",-15.254542,23.162306,3488,2,\"U\",\"Africa/Lusaka\"\n", + "910,\"Ndola\",\"Ndola\",\"Zambia\",\"NLA\",\"FLND\",-12.998139,28.664944,4167,2,\"U\",\"Africa/Lusaka\"\n", + "911,\"Southdowns\",\"Southdowns\",\"Zambia\",\"KIW\",\"FLSO\",-12.900469,28.149858,4145,2,\"U\",\"Africa/Lusaka\"\n", + "912,\"Prince Said Ibrahim\",\"Moroni\",\"Comoros\",\"HAH\",\"FMCH\",-11.533661,43.27185,93,3,\"U\",\"Indian/Comoro\"\n", + "913,\"Bandaressalam\",\"Moheli\",\"Comoros\",\"NWA\",\"FMCI\",-12.298108,43.7664,46,3,\"U\",\"Indian/Comoro\"\n", + "914,\"Ouani\",\"Anjouan\",\"Comoros\",\"AJN\",\"FMCV\",-12.131667,44.430279,62,3,\"U\",\"Indian/Comoro\"\n", + "915,\"Dzaoudzi Pamandzi\",\"Dzaoudzi\",\"Mayotte\",\"DZA\",\"FMCZ\",-12.804722,45.281113,23,3,\"U\",\"Indian/Mayotte\"\n", + "916,\"St Denis Gillot\",\"St.-denis\",\"Reunion\",\"RUN\",\"FMEE\",-20.8871,55.510308,66,4,\"U\",\"Indian/Reunion\"\n", + "917,\"St Pierre Pierrefonds\",\"St.-pierre\",\"Reunion\",\"ZSE\",\"FMEP\",-21.320039,55.423581,56,4,\"U\",\"Indian/Reunion\"\n", + "918,\"Ivato\",\"Antananarivo\",\"Madagascar\",\"TNR\",\"FMMI\",-18.79695,47.478806,4198,3,\"U\",\"Indian/Antananarivo\"\n", + "919,\"Miandrivazo\",\"Miandrivazo\",\"Madagascar\",\"ZVA\",\"FMMN\",-19.562778,45.450832,203,3,\"U\",\"Indian/Antananarivo\"\n", + "920,\"Sainte Marie\",\"Sainte Marie\",\"Madagascar\",\"SMS\",\"FMMS\",-17.093889,49.815834,7,3,\"U\",\"Indian/Antananarivo\"\n", + "921,\"Toamasina\",\"Toamasina\",\"Madagascar\",\"TMM\",\"FMMT\",-18.109517,49.392536,22,3,\"U\",\"Indian/Antananarivo\"\n", + "922,\"Morondava\",\"Morondava\",\"Madagascar\",\"MOQ\",\"FMMV\",-20.28475,44.317614,30,3,\"U\",\"Indian/Antananarivo\"\n", + "923,\"Arrachart\",\"Antsiranana\",\"Madagascar\",\"DIE\",\"FMNA\",-12.3494,49.291747,374,3,\"U\",\"Indian/Antananarivo\"\n", + "924,\"Avaratra\",\"Mananara\",\"Madagascar\",\"WMR\",\"FMNC\",-16.1639,49.773753,9,3,\"U\",\"Indian/Antananarivo\"\n", + "925,\"Andapa\",\"Andapa\",\"Madagascar\",\"ZWA\",\"FMND\",-14.651667,49.620556,1552,3,\"U\",\"Indian/Antananarivo\"\n", + "926,\"Ambilobe\",\"Ambilobe\",\"Madagascar\",\"AMB\",\"FMNE\",-13.188431,48.987978,72,3,\"U\",\"Indian/Antananarivo\"\n", + "927,\"Antsirabato\",\"Antalaha\",\"Madagascar\",\"ANM\",\"FMNH\",-14.999411,50.320233,20,3,\"U\",\"Indian/Antananarivo\"\n", + "928,\"Analalava\",\"Analalava\",\"Madagascar\",\"HVA\",\"FMNL\",-14.629694,47.763783,345,3,\"U\",\"Indian/Antananarivo\"\n", + "929,\"Philibert Tsiranana\",\"Mahajanga\",\"Madagascar\",\"MJN\",\"FMNM\",-15.667144,46.351828,87,3,\"U\",\"Indian/Antananarivo\"\n", + "930,\"Fascene\",\"Nosy-be\",\"Madagascar\",\"NOS\",\"FMNN\",-13.312067,48.314822,36,3,\"U\",\"Indian/Antananarivo\"\n", + "931,\"Besalampy\",\"Besalampy\",\"Madagascar\",\"BPY\",\"FMNQ\",-16.741945,44.481388,125,3,\"U\",\"Indian/Antananarivo\"\n", + "932,\"Maroantsetra\",\"Maroantsetra\",\"Madagascar\",\"WMN\",\"FMNR\",-15.436666,49.688332,13,3,\"U\",\"Indian/Antananarivo\"\n", + "933,\"Sambava\",\"Sambava\",\"Madagascar\",\"SVB\",\"FMNS\",-14.278611,50.174721,20,3,\"U\",\"Indian/Antananarivo\"\n", + "934,\"Vohimarina\",\"Vohemar\",\"Madagascar\",\"VOH\",\"FMNV\",-13.375834,50.002777,19,3,\"U\",\"Indian/Antananarivo\"\n", + "935,\"Ambalabe\",\"Antsohihy\",\"Madagascar\",\"WAI\",\"FMNW\",-14.89875,47.993894,92,3,\"U\",\"Indian/Antananarivo\"\n", + "936,\"Ampampamena\",\"Ampampamena\",\"Madagascar\",\"\",\"FMNZ\",-13.484814,48.632739,49,3,\"U\",\"Indian/Antananarivo\"\n", + "937,\"Tolagnaro\",\"Tolagnaro\",\"Madagascar\",\"FTU\",\"FMSD\",-25.038056,46.956111,29,3,\"U\",\"Indian/Antananarivo\"\n", + "938,\"Fianarantsoa\",\"Fianarantsoa\",\"Madagascar\",\"WFI\",\"FMSF\",-21.441558,47.111736,3658,3,\"U\",\"Indian/Antananarivo\"\n", + "939,\"Farafangana\",\"Farafangana\",\"Madagascar\",\"RVA\",\"FMSG\",-22.805286,47.820614,26,3,\"U\",\"Indian/Antananarivo\"\n", + "940,\"Manakara\",\"Manakara\",\"Madagascar\",\"WVK\",\"FMSK\",-22.119722,48.021667,33,3,\"U\",\"Indian/Antananarivo\"\n", + "941,\"Mananjary\",\"Mananjary\",\"Madagascar\",\"MNJ\",\"FMSM\",-21.201772,48.358317,20,3,\"U\",\"Indian/Antananarivo\"\n", + "942,\"Morombe\",\"Morombe\",\"Madagascar\",\"MXM\",\"FMSR\",-21.753867,43.375533,16,3,\"U\",\"Indian/Antananarivo\"\n", + "943,\"Toliara\",\"Toliara\",\"Madagascar\",\"TLE\",\"FMST\",-23.383369,43.728453,29,3,\"U\",\"Indian/Antananarivo\"\n", + "944,\"Mbanza Congo\",\"M'banza-congo\",\"Angola\",\"SSY\",\"FNBC\",-6.269897,14.247025,1860,1,\"N\",\"Africa/Luanda\"\n", + "945,\"Benguela\",\"Benguela\",\"Angola\",\"BUG\",\"FNBG\",-12.609025,13.403711,118,1,\"N\",\"Africa/Luanda\"\n", + "946,\"Cabinda\",\"Cabinda\",\"Angola\",\"CAB\",\"FNCA\",-5.596992,12.188353,66,1,\"N\",\"Africa/Luanda\"\n", + "6814,\"Culebra Airport\",\"Culebra Island\",\"Puerto Rico\",\"CPX\",\"TJCP\",18.3127,-65.3034,12,-4,\"U\",\"America/Puerto_Rico\"\n", + "948,\"Huambo\",\"Huambo\",\"Angola\",\"NOV\",\"FNHU\",-12.808878,15.760547,5587,1,\"N\",\"Africa/Luanda\"\n", + "949,\"Kuito\",\"Kuito\",\"Angola\",\"SVP\",\"FNKU\",-12.404633,16.947414,5618,1,\"N\",\"Africa/Luanda\"\n", + "950,\"Lobito\",\"Lobito\",\"Angola\",\"\",\"FNLB\",-12.371233,13.536625,10,1,\"N\",\"Africa/Luanda\"\n", + "951,\"Luanda 4 De Fevereiro\",\"Luanda\",\"Angola\",\"LAD\",\"FNLU\",-8.858375,13.231178,243,1,\"N\",\"Africa/Luanda\"\n", + "952,\"Malanje\",\"Malanje\",\"Angola\",\"MEG\",\"FNMA\",-9.525086,16.312406,3868,1,\"N\",\"Africa/Luanda\"\n", + "953,\"Menongue\",\"Menongue\",\"Angola\",\"SPP\",\"FNME\",-14.657583,17.719833,4469,1,\"N\",\"Africa/Luanda\"\n", + "955,\"Negage\",\"Negage\",\"Angola\",\"GXG\",\"FNNG\",-7.754506,15.287728,4105,1,\"N\",\"Africa/Luanda\"\n", + "956,\"Porto Amboim\",\"Porto Amboim\",\"Angola\",\"PBN\",\"FNPA\",-10.721956,13.765528,16,1,\"N\",\"Africa/Luanda\"\n", + "957,\"Saurimo\",\"Saurimo\",\"Angola\",\"VHC\",\"FNSA\",-9.689067,20.431875,3584,1,\"N\",\"Africa/Luanda\"\n", + "958,\"Soyo\",\"Soyo\",\"Angola\",\"SZA\",\"FNSO\",-6.141086,12.371764,15,1,\"N\",\"Africa/Luanda\"\n", + "959,\"Lubango\",\"Lubango\",\"Angola\",\"SDD\",\"FNUB\",-14.924733,13.575022,5778,1,\"N\",\"Africa/Luanda\"\n", + "960,\"Luena\",\"Luena\",\"Angola\",\"LUO\",\"FNUE\",-11.768086,19.897672,4360,1,\"N\",\"Africa/Luanda\"\n", + "961,\"Uige\",\"Uige\",\"Angola\",\"UGO\",\"FNUG\",-7.603067,15.027822,2720,1,\"N\",\"Africa/Luanda\"\n", + "962,\"Xangongo\",\"Xangongo\",\"Angola\",\"XGN\",\"FNXA\",-16.755417,14.965344,3635,1,\"N\",\"Africa/Luanda\"\n", + "963,\"Oyem\",\"Oyem\",\"Gabon\",\"OYE\",\"FOGO\",1.543108,11.581361,2158,1,\"N\",\"Africa/Libreville\"\n", + "964,\"Okondja\",\"Okondja\",\"Gabon\",\"OKN\",\"FOGQ\",-0.665214,13.673133,1325,1,\"N\",\"Africa/Libreville\"\n", + "965,\"Lambarene\",\"Lambarene\",\"Gabon\",\"LBQ\",\"FOGR\",-0.704389,10.245722,82,1,\"N\",\"Africa/Libreville\"\n", + "966,\"Bitam\",\"Bitam\",\"Gabon\",\"BMM\",\"FOOB\",2.075639,11.493195,1969,1,\"N\",\"Africa/Libreville\"\n", + "967,\"Port Gentil\",\"Port Gentil\",\"Gabon\",\"POG\",\"FOOG\",-0.711739,8.754383,13,1,\"N\",\"Africa/Libreville\"\n", + "968,\"Omboue Hopital\",\"Omboue Hospial\",\"Gabon\",\"OMB\",\"FOOH\",-1.574733,9.262694,33,1,\"N\",\"Africa/Libreville\"\n", + "969,\"Makokou\",\"Makokou\",\"Gabon\",\"MKU\",\"FOOK\",0.579211,12.890908,1726,1,\"N\",\"Africa/Libreville\"\n", + "970,\"Leon M Ba\",\"Libreville\",\"Gabon\",\"LBV\",\"FOOL\",0.4586,9.412283,39,1,\"N\",\"Africa/Libreville\"\n", + "971,\"Mvengue\",\"Franceville\",\"Gabon\",\"MVB\",\"FOON\",-1.656156,13.438036,1450,1,\"N\",\"Africa/Libreville\"\n", + "972,\"Principe\",\"Principe\",\"Sao Tome and Principe\",\"PCP\",\"FPPR\",1.662936,7.411742,591,0,\"N\",\"Africa/Sao_Tome\"\n", + "973,\"Sao Tome Intl\",\"Sao Tome\",\"Sao Tome and Principe\",\"TMS\",\"FPST\",0.378175,6.712153,33,0,\"N\",\"Africa/Sao_Tome\"\n", + "974,\"Beira\",\"Beira\",\"Mozambique\",\"BEW\",\"FQBR\",-19.796419,34.907556,33,2,\"U\",\"Africa/Maputo\"\n", + "976,\"Inhambane\",\"Inhambane\",\"Mozambique\",\"INH\",\"FQIN\",-23.876431,35.408544,30,2,\"U\",\"Africa/Maputo\"\n", + "977,\"Lichinga\",\"Lichinga\",\"Mozambique\",\"VXC\",\"FQLC\",-13.273986,35.266262,4505,2,\"U\",\"Africa/Maputo\"\n", + "978,\"Lumbo\",\"Lumbo\",\"Mozambique\",\"\",\"FQLU\",-15.033058,40.671728,33,2,\"U\",\"Africa/Maputo\"\n", + "979,\"Maputo\",\"Maputo\",\"Mozambique\",\"MPM\",\"FQMA\",-25.920836,32.572606,145,2,\"U\",\"Africa/Maputo\"\n", + "980,\"Mueda\",\"Mueda\",\"Mozambique\",\"\",\"FQMD\",-11.672922,39.563142,2789,2,\"U\",\"Africa/Maputo\"\n", + "981,\"Mocimboa Da Praia\",\"Mocimboa Da Praia\",\"Mozambique\",\"MZB\",\"FQMP\",-11.361789,40.354875,89,2,\"U\",\"Africa/Maputo\"\n", + "982,\"Marrupa\",\"Marrupa\",\"Mozambique\",\"\",\"FQMR\",-13.225053,37.552067,2480,2,\"U\",\"Africa/Maputo\"\n", + "983,\"Nacala\",\"Nacala\",\"Mozambique\",\"MNC\",\"FQNC\",-14.488233,40.71225,410,2,\"U\",\"Africa/Maputo\"\n", + "984,\"Nampula\",\"Nampula\",\"Mozambique\",\"APL\",\"FQNP\",-15.105611,39.2818,1444,2,\"U\",\"Africa/Maputo\"\n", + "985,\"Pemba\",\"Pemba\",\"Mozambique\",\"POL\",\"FQPB\",-12.986753,40.522492,331,2,\"U\",\"Africa/Maputo\"\n", + "986,\"Quelimane\",\"Quelimane\",\"Mozambique\",\"UEL\",\"FQQL\",-17.8555,36.869106,36,2,\"U\",\"Africa/Maputo\"\n", + "987,\"Songo\",\"Songo\",\"Mozambique\",\"\",\"FQSG\",-15.602694,32.773189,2904,2,\"U\",\"Africa/Maputo\"\n", + "988,\"Tete Chingodzi\",\"Tete\",\"Mozambique\",\"TET\",\"FQTT\",-16.104817,33.640181,525,2,\"U\",\"Africa/Maputo\"\n", + "989,\"Ulongwe\",\"Ulongwe\",\"Mozambique\",\"\",\"FQUG\",-14.704617,34.352369,4265,2,\"U\",\"Africa/Maputo\"\n", + "990,\"Vilankulo\",\"Vilankulu\",\"Mozambique\",\"VNX\",\"FQVL\",-22.018431,35.313297,46,2,\"U\",\"Africa/Maputo\"\n", + "991,\"Alphonse\",\"Alphonse\",\"Seychelles\",\"\",\"FSAL\",-7.004783,52.726247,10,4,\"U\",\"Indian/Mahe\"\n", + "992,\"Desroches\",\"Desroches\",\"Seychelles\",\"DES\",\"FSDR\",-5.696697,53.655844,10,4,\"U\",\"Indian/Mahe\"\n", + "993,\"Farquhar\",\"Farquhar\",\"Seychelles\",\"\",\"FSFA\",-10.109611,51.176119,10,4,\"U\",\"Indian/Mahe\"\n", + "994,\"Seychelles Intl\",\"Mahe\",\"Seychelles\",\"SEZ\",\"FSIA\",-4.674342,55.521839,10,4,\"U\",\"Indian/Mahe\"\n", + "995,\"Praslin\",\"Praslin\",\"Seychelles\",\"PRI\",\"FSPP\",-4.319292,55.691417,10,4,\"U\",\"Indian/Mahe\"\n", + "996,\"Coetivy\",\"Coetivy\",\"Seychelles\",\"\",\"FSSC\",-7.134567,56.278239,10,4,\"U\",\"Indian/Mahe\"\n", + "997,\"Abeche\",\"Abeche\",\"Chad\",\"AEH\",\"FTTC\",13.847,20.844333,1788,1,\"N\",\"Africa/Ndjamena\"\n", + "998,\"Moundou\",\"Moundou\",\"Chad\",\"MQQ\",\"FTTD\",8.624406,16.071419,1407,1,\"N\",\"Africa/Ndjamena\"\n", + "999,\"Ndjamena Hassan Djamous\",\"N'djamena\",\"Chad\",\"NDJ\",\"FTTJ\",12.133689,15.034019,968,1,\"N\",\"Africa/Ndjamena\"\n", + "1000,\"Faya Largeau\",\"Faya-largeau\",\"Chad\",\"FYT\",\"FTTY\",17.917053,19.111078,771,1,\"N\",\"Africa/Ndjamena\"\n", + "1001,\"J M Nkomo Intl\",\"Bulawayo\",\"Zimbabwe\",\"BUQ\",\"FVBU\",-20.017431,28.617869,4359,2,\"U\",\"Africa/Harare\"\n", + "1002,\"Charles Prince\",\"Harare\",\"Zimbabwe\",\"\",\"FVCP\",-17.751561,30.924706,4845,2,\"U\",\"Africa/Harare\"\n", + "1003,\"Buffalo Range\",\"Chiredzi\",\"Zimbabwe\",\"BFO\",\"FVCZ\",-21.008083,31.57855,1421,2,\"U\",\"Africa/Harare\"\n", + "1004,\"Victoria Falls Intl\",\"Victoria Falls\",\"Zimbabwe\",\"VFA\",\"FVFA\",-18.095881,25.839006,3490,2,\"U\",\"Africa/Harare\"\n", + "1005,\"Harare Intl\",\"Harare\",\"Zimbabwe\",\"HRE\",\"FVHA\",-17.931806,31.092847,4887,2,\"U\",\"Africa/Harare\"\n", + "1006,\"Kariba Intl\",\"Kariba\",\"Zimbabwe\",\"KAB\",\"FVKB\",-16.519761,28.884981,1706,2,\"U\",\"Africa/Harare\"\n", + "1007,\"Mutoko\",\"Mutoko\",\"Zimbabwe\",\"\",\"FVMT\",-17.431917,32.184502,3950,2,\"U\",\"Africa/Harare\"\n", + "1008,\"Mutare\",\"Mutare\",\"Zimbabwe\",\"\",\"FVMU\",-18.997499,32.627224,3410,2,\"U\",\"Africa/Harare\"\n", + "1009,\"Masvingo Intl\",\"Masvingo\",\"Zimbabwe\",\"MVZ\",\"FVMV\",-20.055333,30.859111,3595,2,\"U\",\"Africa/Harare\"\n", + "1010,\"Zvishavane\",\"Zvishavane\",\"Zimbabwe\",\"\",\"FVSH\",-20.289497,30.088228,3012,2,\"U\",\"Africa/Harare\"\n", + "1011,\"Gweru Thornhill\",\"Gwert\",\"Zimbabwe\",\"GWE\",\"FVTL\",-19.436394,29.861911,4680,2,\"U\",\"Africa/Harare\"\n", + "1012,\"Hwange National Park\",\"Hwange National Park\",\"Zimbabwe\",\"WKM\",\"FVWN\",-18.629872,27.021042,3543,2,\"U\",\"Africa/Harare\"\n", + "1013,\"Chileka Intl\",\"Blantyre\",\"Malawi\",\"BLZ\",\"FWCL\",-15.679053,34.974014,2555,2,\"U\",\"Africa/Blantyre\"\n", + "1014,\"Karonga\",\"Karonga\",\"Malawi\",\"KGJ\",\"FWKA\",-9.953569,33.893022,1765,2,\"U\",\"Africa/Blantyre\"\n", + "1015,\"Kasungu\",\"Kasungu\",\"Malawi\",\"\",\"FWKG\",-13.014631,33.468597,3470,2,\"U\",\"Africa/Blantyre\"\n", + "1016,\"Kamuzu Intl\",\"Lilongwe\",\"Malawi\",\"LLW\",\"FWKI\",-13.789378,33.781,4035,2,\"U\",\"Africa/Blantyre\"\n", + "1017,\"Mzuzu\",\"Mzuzu\",\"Malawi\",\"ZZU\",\"FWUU\",-11.44475,34.011776,4115,2,\"U\",\"Africa/Blantyre\"\n", + "1018,\"Moshoeshoe I Intl\",\"Maseru\",\"Lesotho\",\"MSU\",\"FXMM\",-29.462256,27.552503,5348,2,\"U\",\"Africa/Maseru\"\n", + "1019,\"Mejametalana\",\"Maseru\",\"Lesotho\",\"\",\"FXMU\",-29.304053,27.503458,5105,2,\"U\",\"Africa/Maseru\"\n", + "1020,\"Ndjili Intl\",\"Kinshasa\",\"Congo (Kinshasa)\",\"FIH\",\"FZAA\",-4.38575,15.444569,1027,1,\"N\",\"Africa/Kinshasa\"\n", + "1021,\"Ndolo\",\"Kinshasa\",\"Congo (Kinshasa)\",\"NLO\",\"FZAB\",-4.326689,15.327342,915,1,\"N\",\"Africa/Kinshasa\"\n", + "1022,\"Muanda\",\"Muanda\",\"Congo (Kinshasa)\",\"MNB\",\"FZAG\",-5.930858,12.351789,89,1,\"N\",\"Africa/Kinshasa\"\n", + "1023,\"Kitona Base\",\"Kitona Base\",\"Congo (Kinshasa)\",\"\",\"FZAI\",-5.918056,12.447694,394,1,\"N\",\"Africa/Kinshasa\"\n", + "1024,\"Bandundu\",\"Bandoundu\",\"Congo (Kinshasa)\",\"FDU\",\"FZBO\",-3.311319,17.381683,1053,1,\"N\",\"Africa/Kinshasa\"\n", + "1025,\"Kikwit\",\"Kikwit\",\"Congo (Kinshasa)\",\"KKW\",\"FZCA\",-5.035767,18.785631,1572,1,\"N\",\"Africa/Kinshasa\"\n", + "1026,\"Mbandaka\",\"Mbandaka\",\"Congo (Kinshasa)\",\"MDK\",\"FZEA\",0.0226,18.288744,1040,1,\"N\",\"Africa/Kinshasa\"\n", + "1027,\"Gbadolite\",\"Gbadolite\",\"Congo (Kinshasa)\",\"BDT\",\"FZFD\",4.253206,20.975283,1509,1,\"N\",\"Africa/Kinshasa\"\n", + "1028,\"Gemena\",\"Gemena\",\"Congo (Kinshasa)\",\"GMA\",\"FZFK\",3.235369,19.771258,1378,1,\"N\",\"Africa/Kinshasa\"\n", + "1029,\"Kotakoli\",\"Kotakoli\",\"Congo (Kinshasa)\",\"\",\"FZFP\",4.157639,21.650917,1801,1,\"N\",\"Africa/Kinshasa\"\n", + "1030,\"Lisala\",\"Lisala\",\"Congo (Kinshasa)\",\"LIQ\",\"FZGA\",2.170658,21.496906,1509,1,\"N\",\"Africa/Kinshasa\"\n", + "1031,\"Kisangani Simisini\",\"Kisangani\",\"Congo (Kinshasa)\",\"FKI\",\"FZIA\",0.5175,25.155014,1289,2,\"U\",\"Africa/Lubumbashi\"\n", + "1032,\"Matari\",\"Isiro\",\"Congo (Kinshasa)\",\"IRP\",\"FZJH\",2.827606,27.588253,2438,2,\"U\",\"Africa/Lubumbashi\"\n", + "1033,\"Bunia\",\"Bunia\",\"Congo (Kinshasa)\",\"BUX\",\"FZKA\",1.565719,30.220833,4045,2,\"U\",\"Africa/Lubumbashi\"\n", + "1034,\"Buta Zega\",\"Buta Zega\",\"Congo (Kinshasa)\",\"\",\"FZKJ\",2.818347,24.793706,1378,2,\"U\",\"Africa/Lubumbashi\"\n", + "1035,\"Bukavu Kavumu\",\"Bukavu/kavumu\",\"Congo (Kinshasa)\",\"BKY\",\"FZMA\",-2.308978,28.808803,5643,2,\"U\",\"Africa/Lubumbashi\"\n", + "1036,\"Goma\",\"Goma\",\"Congo (Kinshasa)\",\"GOM\",\"FZNA\",-1.670814,29.238464,5089,2,\"U\",\"Africa/Kigali\"\n", + "1037,\"Kindu\",\"Kindu\",\"Congo (Kinshasa)\",\"KND\",\"FZOA\",-2.919178,25.915361,1630,2,\"U\",\"Africa/Lubumbashi\"\n", + "1038,\"Lubumbashi Intl\",\"Lubumashi\",\"Congo (Kinshasa)\",\"FBM\",\"FZQA\",-11.591333,27.530889,4295,2,\"U\",\"Africa/Lubumbashi\"\n", + "1039,\"Kolwezi\",\"Kolwezi\",\"Congo (Kinshasa)\",\"KWZ\",\"FZQM\",-10.765886,25.505714,5007,2,\"U\",\"Africa/Lubumbashi\"\n", + "1040,\"Kalemie\",\"Kalemie\",\"Congo (Kinshasa)\",\"FMI\",\"FZRF\",-5.875556,29.25,2569,2,\"U\",\"Africa/Lubumbashi\"\n", + "1041,\"Kamina Base\",\"Kamina Base\",\"Congo (Kinshasa)\",\"KMN\",\"FZSA\",-8.642025,25.252897,3543,2,\"U\",\"Africa/Lubumbashi\"\n", + "1042,\"Kananga\",\"Kananga\",\"Congo (Kinshasa)\",\"KGA\",\"FZUA\",-5.900055,22.469166,2139,2,\"U\",\"Africa/Lubumbashi\"\n", + "1043,\"Mbuji Mayi\",\"Mbuji-mayi\",\"Congo (Kinshasa)\",\"MJM\",\"FZWA\",-6.121236,23.569008,2221,2,\"U\",\"Africa/Lubumbashi\"\n", + "1044,\"Senou\",\"Bamako\",\"Mali\",\"BKO\",\"GABS\",12.533544,-7.949944,1247,0,\"N\",\"Africa/Bamako\"\n", + "1045,\"Gao\",\"Gao\",\"Mali\",\"GAQ\",\"GAGO\",16.248433,-0.005456,870,0,\"N\",\"Africa/Bamako\"\n", + "1046,\"Kayes Dag Dag\",\"Kayes\",\"Mali\",\"KYS\",\"GAKY\",14.481233,-11.404397,164,0,\"N\",\"Africa/Bamako\"\n", + "1047,\"Ambodedjo\",\"Mopti\",\"Mali\",\"MZI\",\"GAMB\",14.512803,-4.079561,906,0,\"N\",\"Africa/Bamako\"\n", + "1048,\"Tombouctou\",\"Tombouctou\",\"Mali\",\"TOM\",\"GATB\",16.730458,-3.007583,863,0,\"N\",\"Africa/Bamako\"\n", + "1049,\"Tessalit\",\"Tessalit\",\"Mali\",\"\",\"GATS\",20.242983,0.977308,1621,0,\"N\",\"Africa/Bamako\"\n", + "1050,\"Banjul Intl\",\"Banjul\",\"Gambia\",\"BJL\",\"GBYD\",13.337961,-16.652206,95,0,\"N\",\"Africa/Banjul\"\n", + "1051,\"Fuerteventura\",\"Fuerteventura\",\"Spain\",\"FUE\",\"GCFV\",28.452717,-13.863761,83,0,\"E\",\"Atlantic/Canary\"\n", + "1052,\"Hierro\",\"Hierro\",\"Spain\",\"VDE\",\"GCHI\",27.814847,-17.887056,103,0,\"E\",\"Atlantic/Canary\"\n", + "1053,\"La Palma\",\"Santa Cruz De La Palma\",\"Spain\",\"SPC\",\"GCLA\",28.626478,-17.755611,107,0,\"E\",\"Atlantic/Canary\"\n", + "1054,\"Gran Canaria\",\"Gran Canaria\",\"Spain\",\"LPA\",\"GCLP\",27.931886,-15.386586,78,0,\"E\",\"Atlantic/Canary\"\n", + "1055,\"Lanzarote\",\"Las Palmas\",\"Spain\",\"ACE\",\"GCRR\",28.945464,-13.605225,47,0,\"E\",\"Atlantic/Canary\"\n", + "1056,\"Tenerife Sur\",\"Tenerife\",\"Spain\",\"TFS\",\"GCTS\",28.044475,-16.572489,209,0,\"E\",\"Atlantic/Canary\"\n", + "1057,\"Tenerife Norte\",\"Tenerife\",\"Spain\",\"TFN\",\"GCXO\",28.482653,-16.341536,2073,0,\"E\",\"Atlantic/Canary\"\n", + "1058,\"Melilla\",\"Melilla\",\"Spain\",\"MLN\",\"GEML\",35.279817,-2.956256,156,1,\"E\",\"Europe/Madrid\"\n", + "1059,\"Freetown Lungi\",\"Freetown\",\"Sierra Leone\",\"FNA\",\"GFLL\",8.616444,-13.195489,84,0,\"N\",\"Africa/Freetown\"\n", + "1060,\"Cufar\",\"Cufar\",\"Guinea-Bissau\",\"\",\"GGCF\",11.287917,-15.1805,65,0,\"N\",\"Africa/Bissau\"\n", + "1062,\"Monrovia Spriggs Payne\",\"Monrovia\",\"Liberia\",\"MLW\",\"GLMR\",6.289061,-10.758722,25,0,\"N\",\"Africa/Monrovia\"\n", + "1063,\"Monrovia Roberts Intl\",\"Monrovia\",\"Liberia\",\"ROB\",\"GLRB\",6.233789,-10.362311,31,0,\"N\",\"Africa/Monrovia\"\n", + "1064,\"Inezgane\",\"Agadir\",\"Morocco\",\"AGA\",\"GMAA\",30.381353,-9.546311,89,0,\"N\",\"Africa/Casablanca\"\n", + "1065,\"Plage Blanche\",\"Tan Tan\",\"Morocco\",\"TTA\",\"GMAT\",28.448194,-11.161347,653,0,\"N\",\"Africa/Casablanca\"\n", + "1066,\"Saiss\",\"Fes\",\"Morocco\",\"FEZ\",\"GMFF\",33.927261,-4.977958,1900,0,\"N\",\"Africa/Casablanca\"\n", + "1067,\"Ifrane\",\"Ifrane\",\"Morocco\",\"\",\"GMFI\",33.505319,-5.152903,5459,0,\"N\",\"Africa/Casablanca\"\n", + "1068,\"Moulay Ali Cherif\",\"Er-rachidia\",\"Morocco\",\"ERH\",\"GMFK\",31.9475,-4.398333,3428,0,\"N\",\"Africa/Casablanca\"\n", + "1069,\"Bassatine\",\"Meknes\",\"Morocco\",\"MEK\",\"GMFM\",33.879067,-5.515125,1890,0,\"N\",\"Africa/Casablanca\"\n", + "1070,\"Angads\",\"Oujda\",\"Morocco\",\"OUD\",\"GMFO\",34.78715,-1.923986,1535,0,\"N\",\"Africa/Casablanca\"\n", + "1071,\"Ben Slimane\",\"Ben Slimane\",\"Morocco\",\"\",\"GMMB\",33.655422,-7.22145,627,0,\"N\",\"Africa/Casablanca\"\n", + "1072,\"Sale\",\"Rabat\",\"Morocco\",\"RBA\",\"GMME\",34.051467,-6.751519,276,0,\"N\",\"Africa/Casablanca\"\n", + "1074,\"Mohammed V Intl\",\"Casablanca\",\"Morocco\",\"CMN\",\"GMMN\",33.367467,-7.589967,656,0,\"N\",\"Africa/Casablanca\"\n", + "1075,\"Menara\",\"Marrakech\",\"Morocco\",\"RAK\",\"GMMX\",31.606886,-8.0363,1545,0,\"N\",\"Africa/Casablanca\"\n", + "1076,\"Kenitra\",\"Kentira\",\"Morocco\",\"NNA\",\"GMMY\",34.298864,-6.595878,16,0,\"N\",\"Africa/Casablanca\"\n", + "1077,\"Ouarzazate\",\"Ouarzazate\",\"Morocco\",\"OZZ\",\"GMMZ\",30.939053,-6.909431,3782,0,\"N\",\"Africa/Casablanca\"\n", + "1078,\"Cherif El Idrissi\",\"Al Hociema\",\"Morocco\",\"AHU\",\"GMTA\",35.177103,-3.839525,95,0,\"N\",\"Africa/Casablanca\"\n", + "1079,\"Saniat Rmel\",\"Tetouan\",\"Morocco\",\"TTU\",\"GMTN\",35.594333,-5.320019,10,0,\"N\",\"Africa/Casablanca\"\n", + "1080,\"Ibn Batouta\",\"Tanger\",\"Morocco\",\"TNG\",\"GMTT\",35.726917,-5.916889,62,0,\"N\",\"Africa/Casablanca\"\n", + "1081,\"Ziguinchor\",\"Ziguinchor\",\"Senegal\",\"ZIG\",\"GOGG\",12.555617,-16.281783,75,0,\"N\",\"Africa/Dakar\"\n", + "1082,\"Cap Skiring\",\"Cap Skiring\",\"Senegal\",\"CSK\",\"GOGS\",12.4102,-16.746125,52,0,\"N\",\"Africa/Dakar\"\n", + "1083,\"Kaolack\",\"Kaolack\",\"Senegal\",\"KLC\",\"GOOK\",14.146881,-16.051297,26,0,\"N\",\"Africa/Dakar\"\n", + "1084,\"Leopold Sedar Senghor Intl\",\"Dakar\",\"Senegal\",\"DKR\",\"GOOY\",14.739708,-17.490225,85,0,\"N\",\"Africa/Dakar\"\n", + "1085,\"Saint Louis\",\"St. Louis\",\"Senegal\",\"XLS\",\"GOSS\",16.050761,-16.463172,9,0,\"N\",\"Africa/Dakar\"\n", + "1086,\"Bakel\",\"Bakel\",\"Senegal\",\"BXE\",\"GOTB\",14.847256,-12.468264,98,0,\"N\",\"Africa/Dakar\"\n", + "1087,\"Kedougou\",\"Kedougou\",\"Senegal\",\"KGG\",\"GOTK\",12.572292,-12.220333,584,0,\"N\",\"Africa/Dakar\"\n", + "1088,\"Tambacounda\",\"Tambacounda\",\"Senegal\",\"TUD\",\"GOTT\",13.736817,-13.653122,161,0,\"N\",\"Africa/Dakar\"\n", + "1089,\"Aioun El Atrouss\",\"Aioun El Atrouss\",\"Mauritania\",\"IEO\",\"GQNA\",16.711294,-9.637883,951,0,\"N\",\"Africa/Nouakchott\"\n", + "1090,\"Tidjikja\",\"Tidjikja\",\"Mauritania\",\"TIY\",\"GQND\",18.570103,-11.423547,1316,0,\"N\",\"Africa/Nouakchott\"\n", + "1091,\"Kiffa\",\"Kiffa\",\"Mauritania\",\"KFA\",\"GQNF\",16.589983,-11.406208,423,0,\"N\",\"Africa/Nouakchott\"\n", + "1092,\"Nema\",\"Nema\",\"Mauritania\",\"EMN\",\"GQNI\",16.622,-7.316567,758,0,\"N\",\"Africa/Nouakchott\"\n", + "1093,\"Kaedi\",\"Kaedi\",\"Mauritania\",\"KED\",\"GQNK\",16.159547,-13.507617,75,0,\"N\",\"Africa/Nouakchott\"\n", + "1094,\"Nouakchott\",\"Nouakschott\",\"Mauritania\",\"NKC\",\"GQNN\",18.097856,-15.947956,7,0,\"N\",\"Africa/Nouakchott\"\n", + "1095,\"Selibady\",\"Selibabi\",\"Mauritania\",\"SEY\",\"GQNS\",15.179692,-12.207272,262,0,\"N\",\"Africa/Nouakchott\"\n", + "1096,\"Atar\",\"Atar\",\"Mauritania\",\"ATR\",\"GQPA\",20.506828,-13.043194,758,0,\"N\",\"Africa/Nouakchott\"\n", + "1097,\"Nouadhibou\",\"Nouadhibou\",\"Mauritania\",\"NDB\",\"GQPP\",20.933067,-17.029956,16,0,\"N\",\"Africa/Nouakchott\"\n", + "1098,\"Bir Moghrein\",\"Bir Moghrein\",\"Mauritania\",\"\",\"GQPT\",25.236697,-11.588697,1194,0,\"N\",\"Africa/Nouakchott\"\n", + "1099,\"Fria\",\"Fira\",\"Guinea\",\"FIG\",\"GUFA\",10.350556,-13.569167,499,0,\"N\",\"Africa/Conakry\"\n", + "1100,\"Faranah\",\"Faranah\",\"Guinea\",\"FAA\",\"GUFH\",10.035467,-10.769825,1476,0,\"N\",\"Africa/Conakry\"\n", + "1101,\"Labe\",\"Labe\",\"Guinea\",\"LEK\",\"GULB\",11.326058,-12.28685,3396,0,\"N\",\"Africa/Conakry\"\n", + "1102,\"Amilcar Cabral Intl\",\"Amilcar Cabral\",\"Cape Verde\",\"SID\",\"GVAC\",16.741389,-22.949444,177,-1,\"U\",\"Atlantic/Cape_Verde\"\n", + "1103,\"Rabil\",\"Boa Vista\",\"Cape Verde\",\"BVC\",\"GVBA\",16.136531,-22.888897,69,-1,\"U\",\"Atlantic/Cape_Verde\"\n", + "1104,\"Maio\",\"Maio\",\"Cape Verde\",\"MMO\",\"GVMA\",15.155928,-23.213703,36,-1,\"U\",\"Atlantic/Cape_Verde\"\n", + "1105,\"Preguica\",\"Sao Nocolau Island\",\"Cape Verde\",\"SNE\",\"GVSN\",16.588356,-24.284656,669,-1,\"U\",\"Atlantic/Cape_Verde\"\n", + "1106,\"Sao Pedro\",\"Sao Vicente Island\",\"Cape Verde\",\"VXE\",\"GVSV\",16.833689,-25.054661,66,-1,\"U\",\"Atlantic/Cape_Verde\"\n", + "1107,\"Bole Intl\",\"Addis Ababa\",\"Ethiopia\",\"ADD\",\"HAAB\",8.977889,38.799319,7656,3,\"U\",\"Africa/Addis_Ababa\"\n", + "1108,\"Lideta\",\"Addis Ababa\",\"Ethiopia\",\"\",\"HAAL\",9.003681,38.726019,7749,3,\"U\",\"Africa/Addis_Ababa\"\n", + "1109,\"Arba Minch\",\"Arba Minch\",\"Ethiopia\",\"AMH\",\"HAAM\",6.039389,37.590453,3895,3,\"U\",\"Africa/Addis_Ababa\"\n", + "1110,\"Axum\",\"Axum\",\"Ethiopia\",\"AXU\",\"HAAX\",14.14675,38.772833,6915,3,\"U\",\"Africa/Addis_Ababa\"\n", + "1111,\"Bahir Dar\",\"Bahar Dar\",\"Ethiopia\",\"BJR\",\"HABD\",11.608075,37.321644,5976,3,\"U\",\"Africa/Addis_Ababa\"\n", + "1112,\"Dire Dawa Intl\",\"Dire Dawa\",\"Ethiopia\",\"DIR\",\"HADR\",9.6247,41.854203,3829,3,\"U\",\"Africa/Addis_Ababa\"\n", + "1113,\"Gambella\",\"Gambella\",\"Ethiopia\",\"GMB\",\"HAGM\",8.128764,34.563131,1771,3,\"U\",\"Africa/Addis_Ababa\"\n", + "1114,\"Gondar\",\"Gondar\",\"Ethiopia\",\"GDQ\",\"HAGN\",12.5199,37.434047,6541,3,\"U\",\"Africa/Addis_Ababa\"\n", + "6811,\"South Ari Atoll\",\"Paradies Island\",\"Maldives\",\"\",\"ARIA\",3.4833,72.8369,0,5,\"U\",\"Indian/Maldives\"\n", + "1116,\"Jimma\",\"Jimma\",\"Ethiopia\",\"JIM\",\"HAJM\",7.666094,36.816639,5587,3,\"U\",\"Africa/Addis_Ababa\"\n", + "1117,\"Lalibella\",\"Lalibella\",\"Ethiopia\",\"LLI\",\"HALL\",11.975014,38.979969,6423,3,\"U\",\"Africa/Addis_Ababa\"\n", + "1118,\"Makale\",\"Makale\",\"Ethiopia\",\"MQX\",\"HAMK\",13.467367,39.533464,7406,3,\"U\",\"Africa/Addis_Ababa\"\n", + "1119,\"Asosa\",\"Asosa\",\"Ethiopia\",\"ASO\",\"HASO\",10.01855,34.586253,5120,3,\"U\",\"Africa/Addis_Ababa\"\n", + "1120,\"Bujumbura Intl\",\"Bujumbura\",\"Burundi\",\"BJM\",\"HBBA\",-3.324019,29.318519,2582,2,\"U\",\"Africa/Bujumbura\"\n", + "1121,\"Egal Intl\",\"Hargeisa\",\"Somalia\",\"HGA\",\"HCMH\",9.518167,44.088758,4423,3,\"U\",\"Africa/Mogadishu\"\n", + "1122,\"Berbera\",\"Berbera\",\"Somalia\",\"BBO\",\"HCMI\",10.389167,44.941106,30,3,\"U\",\"Africa/Mogadishu\"\n", + "1123,\"Kisimayu\",\"Kismayu\",\"Somalia\",\"KMU\",\"HCMK\",-0.377353,42.459233,49,3,\"U\",\"Africa/Mogadishu\"\n", + "6890,\"Dowagiac Municipal Airport\",\"Dowagiac\",\"United States\",\"C91\",\\N,41.9929342,-86.1280125,748,-5,\"U\",\"America/New_York\"\n", + "1126,\"Alexandria Intl\",\"Alexandria\",\"Egypt\",\"ALY\",\"HEAX\",31.183903,29.948889,-6,2,\"U\",\"Africa/Cairo\"\n", + "1127,\"Abu Simbel\",\"Abu Simbel\",\"Egypt\",\"ABS\",\"HEBL\",22.375953,31.611722,616,2,\"U\",\"Africa/Cairo\"\n", + "1128,\"Cairo Intl\",\"Cairo\",\"Egypt\",\"CAI\",\"HECA\",30.121944,31.405556,382,2,\"U\",\"Africa/Cairo\"\n", + "1129,\"Cairo West\",\"Cairo\",\"Egypt\",\"\",\"HECW\",30.116362,30.915445,550,2,\"U\",\"Africa/Cairo\"\n", + "1130,\"Hurghada Intl\",\"Hurghada\",\"Egypt\",\"HRG\",\"HEGN\",27.178317,33.799436,52,2,\"U\",\"Africa/Cairo\"\n", + "1131,\"El Gora\",\"El Gorah\",\"Egypt\",\"EGR\",\"HEGR\",31.068975,34.129194,324,2,\"U\",\"Africa/Cairo\"\n", + "1132,\"Luxor Intl\",\"Luxor\",\"Egypt\",\"LXR\",\"HELX\",25.671028,32.706583,294,2,\"U\",\"Africa/Cairo\"\n", + "1133,\"Mersa Matruh\",\"Mersa-matruh\",\"Egypt\",\"MUH\",\"HEMM\",31.325356,27.221689,94,2,\"U\",\"Africa/Cairo\"\n", + "1134,\"Port Said\",\"Port Said\",\"Egypt\",\"PSD\",\"HEPS\",31.279444,32.24,8,2,\"U\",\"Africa/Cairo\"\n", + "1135,\"St Catherine Intl\",\"St. Catherine\",\"Egypt\",\"SKV\",\"HESC\",28.685278,34.0625,4368,2,\"U\",\"Africa/Cairo\"\n", + "1136,\"Aswan Intl\",\"Aswan\",\"Egypt\",\"ASW\",\"HESN\",23.964356,32.819975,662,2,\"U\",\"Africa/Cairo\"\n", + "1137,\"El Tor\",\"El-tor\",\"Egypt\",\"ELT\",\"HETR\",28.209028,33.645517,115,2,\"U\",\"Africa/Cairo\"\n", + "1138,\"Eldoret Intl\",\"Eldoret\",\"Kenya\",\"EDL\",\"HKEL\",0.404458,35.238928,6941,3,\"U\",\"Africa/Nairobi\"\n", + "1139,\"Kakamega\",\"Kakamega\",\"Kenya\",\"\",\"HKKG\",0.271342,34.787297,5020,3,\"U\",\"Africa/Nairobi\"\n", + "1140,\"Kisumu\",\"Kisumu\",\"Kenya\",\"KIS\",\"HKKI\",-0.086139,34.728892,3796,3,\"U\",\"Africa/Nairobi\"\n", + "1141,\"Kitale\",\"Kitale\",\"Kenya\",\"KTL\",\"HKKT\",0.971989,34.958556,6070,3,\"U\",\"Africa/Nairobi\"\n", + "6889,\"Cambridge Municipal Airport\",\"Cambridge\",\"United States\",\"CDI\",\\N,39.9750278,-81.5775833,799,-5,\"U\",\"America/New_York\"\n", + "1143,\"Lodwar\",\"Lodwar\",\"Kenya\",\"LOK\",\"HKLO\",3.121967,35.608692,1715,3,\"U\",\"Africa/Nairobi\"\n", + "1144,\"Lamu Manda\",\"Lamu\",\"Kenya\",\"LAU\",\"HKLU\",-2.252417,40.913097,20,3,\"U\",\"Africa/Nairobi\"\n", + "1145,\"Mombasa Moi Intl\",\"Mombasa\",\"Kenya\",\"MBA\",\"HKMO\",-4.034833,39.59425,200,3,\"U\",\"Africa/Nairobi\"\n", + "1146,\"Naivasha\",\"Naivasha\",\"Kenya\",\"\",\"HKNV\",-0.787953,36.433528,6380,3,\"U\",\"Africa/Nairobi\"\n", + "1147,\"Nairobi Wilson\",\"Nairobi\",\"Kenya\",\"WIL\",\"HKNW\",-1.321719,36.814833,5546,3,\"U\",\"Africa/Nairobi\"\n", + "1148,\"Eastleigh\",\"Nairobi\",\"Kenya\",\"\",\"HKRE\",-1.277267,36.862339,5380,3,\"U\",\"Africa/Nairobi\"\n", + "1149,\"Wajir\",\"Wajir\",\"Kenya\",\"WJR\",\"HKWJ\",1.733239,40.091606,770,3,\"U\",\"Africa/Nairobi\"\n", + "1150,\"Bu Attifel\",\"Buattifel\",\"Libya\",\"\",\"HLFL\",28.795372,22.080939,161,2,\"N\",\"Africa/Tripoli\"\n", + "1151,\"Warehouse 59e\",\"Giallo\",\"Libya\",\"\",\"HLGL\",28.638458,21.438042,325,2,\"N\",\"Africa/Tripoli\"\n", + "1152,\"Ghat\",\"Ghat\",\"Libya\",\"GHT\",\"HLGT\",25.145564,10.142647,2296,2,\"N\",\"Africa/Tripoli\"\n", + "1153,\"Kufra\",\"Kufra\",\"Libya\",\"AKF\",\"HLKF\",24.178728,23.313958,1367,2,\"N\",\"Africa/Tripoli\"\n", + "1154,\"Benina\",\"Benghazi\",\"Libya\",\"BEN\",\"HLLB\",32.096786,20.269472,433,2,\"N\",\"Africa/Tripoli\"\n", + "1156,\"Sebha\",\"Sebha\",\"Libya\",\"SEB\",\"HLLS\",26.986964,14.472525,1427,2,\"N\",\"Africa/Tripoli\"\n", + "1157,\"Tripoli Intl\",\"Tripoli\",\"Libya\",\"TIP\",\"HLLT\",32.663544,13.159011,263,2,\"N\",\"Africa/Tripoli\"\n", + "1158,\"Marsa Brega\",\"Marsa Brega\",\"Libya\",\"\",\"HLMB\",30.378139,19.576444,50,2,\"N\",\"Africa/Tripoli\"\n", + "1159,\"Ras Lanuf Oil\",\"Ras Lanouf V 40\",\"Libya\",\"\",\"HLNF\",30.500013,18.527161,42,2,\"N\",\"Africa/Tripoli\"\n", + "1160,\"Hon\",\"Hon\",\"Libya\",\"\",\"HLON\",29.110106,15.965567,919,2,\"N\",\"Africa/Tripoli\"\n", + "1161,\"Dahra\",\"Dahra\",\"Libya\",\"\",\"HLRA\",29.472567,17.934936,1050,2,\"N\",\"Africa/Tripoli\"\n", + "1162,\"Ghadames East\",\"Ghadames\",\"Libya\",\"LTD\",\"HLTD\",30.151695,9.715305,1122,2,\"N\",\"Africa/Tripoli\"\n", + "1163,\"Zella 74\",\"Zella 74\",\"Libya\",\"\",\"HLZA\",28.589878,17.293858,1085,2,\"N\",\"Africa/Tripoli\"\n", + "1164,\"Gisenyi\",\"Gisenyi\",\"Rwanda\",\"GYI\",\"HRYG\",-1.677203,29.258875,5082,2,\"U\",\"Africa/Kigali\"\n", + "1165,\"Kigali Intl\",\"Kigali\",\"Rwanda\",\"KGL\",\"HRYR\",-1.968628,30.13945,4859,2,\"U\",\"Africa/Kigali\"\n", + "1166,\"Kamembe\",\"Kamembe\",\"Rwanda\",\"KME\",\"HRZA\",-2.462242,28.90795,5192,2,\"U\",\"Africa/Kigali\"\n", + "1167,\"Dongola\",\"Dongola\",\"Sudan\",\"DOG\",\"HSDN\",19.153867,30.430094,773,3,\"U\",\"Africa/Khartoum\"\n", + "1168,\"Damazin\",\"Damazin\",\"Sudan\",\"\",\"HSDZ\",11.785889,34.336656,1582,3,\"U\",\"Africa/Khartoum\"\n", + "1169,\"El Fashir\",\"El Fasher\",\"Sudan\",\"ELF\",\"HSFS\",13.614892,25.32465,2393,3,\"U\",\"Africa/Khartoum\"\n", + "1170,\"Kassala\",\"Kassala\",\"Sudan\",\"KSL\",\"HSKA\",15.387494,36.328842,1671,3,\"U\",\"Africa/Khartoum\"\n", + "1171,\"Kadugli\",\"Kadugli\",\"Sudan\",\"\",\"HSLI\",11.138028,29.701122,1848,3,\"U\",\"Africa/Khartoum\"\n", + "1172,\"El Obeid\",\"El Obeid\",\"Sudan\",\"EBD\",\"HSOB\",13.153219,30.232675,1927,3,\"U\",\"Africa/Khartoum\"\n", + "1173,\"Juba\",\"Juba\",\"South Sudan\",\"JUB\",\"HSSJ\",4.872006,31.601117,1513,3,\"U\",\"Africa/Juba\"\n", + "1174,\"Malakal\",\"Malakal\",\"Sudan\",\"MAK\",\"HSSM\",9.558969,31.652242,1291,3,\"U\",\"Africa/Juba\"\n", + "1175,\"Khartoum\",\"Khartoum\",\"Sudan\",\"KRT\",\"HSSS\",15.589497,32.553161,1265,3,\"U\",\"Africa/Khartoum\"\n", + "1176,\"Arusha\",\"Arusha\",\"Tanzania\",\"ARK\",\"HTAR\",-3.367794,36.633333,4550,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "1177,\"Mwalimu Julius K Nyerere Intl\",\"Dar Es Salaam\",\"Tanzania\",\"DAR\",\"HTDA\",-6.878111,39.202625,182,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "1178,\"Dodoma\",\"Dodoma\",\"Tanzania\",\"DOD\",\"HTDO\",-6.170436,35.752578,3637,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "1179,\"Iringa\",\"Iringa\",\"Tanzania\",\"IRI\",\"HTIR\",-7.668633,35.752114,4678,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "1180,\"Kilimanjaro Intl\",\"Kilimanjaro\",\"Tanzania\",\"JRO\",\"HTKJ\",-3.429406,37.074461,2932,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "1181,\"Lake Manyara\",\"Lake Manyara\",\"Tanzania\",\"LKY\",\"HTLM\",-3.376306,35.818278,4150,3,\"N\",\"Africa/Dar_es_Salaam\"\n", + "1182,\"Mtwara\",\"Mtwara\",\"Tanzania\",\"MYW\",\"HTMT\",-10.339058,40.181781,371,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "1183,\"Mwanza\",\"Mwanza\",\"Tanzania\",\"MWZ\",\"HTMW\",-2.444486,32.932667,3763,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "1184,\"Pemba\",\"Pemba\",\"Tanzania\",\"PMA\",\"HTPE\",-5.257264,39.811417,80,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "1185,\"Tanga\",\"Tanga\",\"Tanzania\",\"TGT\",\"HTTG\",-5.092358,39.071158,129,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "1186,\"Zanzibar\",\"Zanzibar\",\"Tanzania\",\"ZNZ\",\"HTZA\",-6.222025,39.224886,54,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "1187,\"Entebbe Intl\",\"Entebbe\",\"Uganda\",\"EBB\",\"HUEN\",0.042386,32.443503,3782,3,\"U\",\"Africa/Kampala\"\n", + "6888,\"Dusseldorf Hauptbahnhof\",\"Dusseldorf\",\"Germany\",\"QDU\",\\N,51.220278,6.792778,125,1,\"E\",\"Europe/Berlin\"\n", + "1189,\"Soroti\",\"Soroti\",\"Uganda\",\"SRT\",\"HUSO\",1.727578,33.622861,3641,3,\"U\",\"Africa/Kampala\"\n", + "1190,\"Tirana Rinas\",\"Tirana\",\"Albania\",\"TIA\",\"LATI\",41.414742,19.720561,126,1,\"E\",\"Europe/Tirane\"\n", + "1191,\"Burgas\",\"Bourgas\",\"Bulgaria\",\"BOJ\",\"LBBG\",42.569583,27.515236,135,2,\"E\",\"Europe/Sofia\"\n", + "1192,\"Gorna Oryahovitsa\",\"Gorna Orechovica\",\"Bulgaria\",\"GOZ\",\"LBGO\",43.151444,25.712889,285,2,\"E\",\"Europe/Sofia\"\n", + "1193,\"Plovdiv\",\"Plovdiv\",\"Bulgaria\",\"PDV\",\"LBPD\",42.067806,24.850833,597,2,\"E\",\"Europe/Sofia\"\n", + "1194,\"Sofia\",\"Sofia\",\"Bulgaria\",\"SOF\",\"LBSF\",42.695194,23.406167,1742,2,\"E\",\"Europe/Sofia\"\n", + "1195,\"Stara Zagora\",\"Stara Zagora\",\"Bulgaria\",\"\",\"LBSZ\",42.376667,25.655195,558,2,\"E\",\"Europe/Sofia\"\n", + "1196,\"Varna\",\"Varna\",\"Bulgaria\",\"VAR\",\"LBWN\",43.232072,27.825106,230,2,\"E\",\"Europe/Sofia\"\n", + "1197,\"Larnaca\",\"Larnaca\",\"Cyprus\",\"LCA\",\"LCLK\",34.875117,33.62485,8,2,\"E\",\"Asia/Nicosia\"\n", + "1198,\"Pafos Intl\",\"Paphos\",\"Cyprus\",\"PFO\",\"LCPH\",34.718039,32.485731,41,2,\"E\",\"Asia/Nicosia\"\n", + "1199,\"Akrotiri\",\"Akrotiri\",\"Cyprus\",\"AKT\",\"LCRA\",34.590416,32.987861,76,0,\"E\",\"Europe/London\"\n", + "1200,\"Dubrovnik\",\"Dubrovnik\",\"Croatia\",\"DBV\",\"LDDU\",42.561353,18.268244,527,1,\"E\",\"Europe/Zagreb\"\n", + "1201,\"Cepin\",\"Cepin\",\"Croatia\",\"\",\"LDOC\",45.542169,18.636233,299,1,\"E\",\"Europe/Zagreb\"\n", + "1202,\"Osijek\",\"Osijek\",\"Croatia\",\"OSI\",\"LDOS\",45.462667,18.810156,290,1,\"E\",\"Europe/Zagreb\"\n", + "1203,\"Pula\",\"Pula\",\"Croatia\",\"PUY\",\"LDPL\",44.893533,13.922192,274,1,\"E\",\"Europe/Zagreb\"\n", + "1204,\"Grobnicko Polje\",\"Grobnik\",\"Croatia\",\"\",\"LDRG\",45.379483,14.503756,951,1,\"E\",\"Europe/Zagreb\"\n", + "1205,\"Rijeka\",\"Rijeka\",\"Croatia\",\"RJK\",\"LDRI\",45.216889,14.570267,278,1,\"E\",\"Europe/Zagreb\"\n", + "1206,\"Split\",\"Split\",\"Croatia\",\"SPU\",\"LDSP\",43.538944,16.297964,79,1,\"E\",\"Europe/Zagreb\"\n", + "1207,\"Varazdin\",\"Varazdin\",\"Croatia\",\"\",\"LDVA\",46.294724,16.38125,548,1,\"E\",\"Europe/Zagreb\"\n", + "1208,\"Zagreb\",\"Zagreb\",\"Croatia\",\"ZAG\",\"LDZA\",45.742931,16.068778,353,1,\"E\",\"Europe/Zagreb\"\n", + "1209,\"Zadar\",\"Zadar\",\"Croatia\",\"ZAD\",\"LDZD\",44.108269,15.346697,289,1,\"E\",\"Europe/Zagreb\"\n", + "1210,\"Udbina\",\"Udbina\",\"Croatia\",\"\",\"LDZU\",44.55761,15.774361,2462,1,\"E\",\"Europe/Zagreb\"\n", + "1211,\"Albacete\",\"Albacete\",\"Spain\",\"\",\"LEAB\",38.948528,-1.863517,2302,1,\"E\",\"Europe/Madrid\"\n", + "1212,\"Alicante\",\"Alicante\",\"Spain\",\"ALC\",\"LEAL\",38.282169,-0.558156,142,1,\"E\",\"Europe/Madrid\"\n", + "1213,\"Almeria\",\"Almeria\",\"Spain\",\"LEI\",\"LEAM\",36.843936,-2.370097,70,1,\"E\",\"Europe/Madrid\"\n", + "1214,\"Asturias\",\"Aviles\",\"Spain\",\"OVD\",\"LEAS\",43.563567,-6.034622,416,1,\"E\",\"Europe/Madrid\"\n", + "1215,\"Cordoba\",\"Cordoba\",\"Spain\",\"ODB\",\"LEBA\",37.842006,-4.848878,297,1,\"E\",\"Europe/Madrid\"\n", + "1216,\"Bilbao\",\"Bilbao\",\"Spain\",\"BIO\",\"LEBB\",43.301097,-2.910608,138,1,\"E\",\"Europe/Madrid\"\n", + "1218,\"Barcelona\",\"Barcelona\",\"Spain\",\"BCN\",\"LEBL\",41.297078,2.078464,12,1,\"E\",\"Europe/Madrid\"\n", + "1219,\"Talavera La Real\",\"Badajoz\",\"Spain\",\"BJZ\",\"LEBZ\",38.89125,-6.821333,609,1,\"E\",\"Europe/Madrid\"\n", + "1220,\"A Coruna\",\"La Coruna\",\"Spain\",\"LCG\",\"LECO\",43.302061,-8.377256,326,1,\"E\",\"Europe/Madrid\"\n", + "1221,\"Armilla\",\"Granada\",\"Spain\",\"\",\"LEGA\",37.133222,-3.635694,2297,1,\"E\",\"Europe/Madrid\"\n", + "1222,\"Girona\",\"Gerona\",\"Spain\",\"GRO\",\"LEGE\",41.900969,2.760547,468,1,\"E\",\"Europe/Madrid\"\n", + "1223,\"Granada\",\"Granada\",\"Spain\",\"GRX\",\"LEGR\",37.188731,-3.777356,1860,1,\"E\",\"Europe/Madrid\"\n", + "1224,\"Getafe\",\"Madrid\",\"Spain\",\"\",\"LEGT\",40.294139,-3.723833,2029,1,\"E\",\"Europe/Madrid\"\n", + "1225,\"Ibiza\",\"Ibiza\",\"Spain\",\"IBZ\",\"LEIB\",38.872858,1.373117,20,1,\"E\",\"Europe/Madrid\"\n", + "1226,\"Jerez\",\"Jerez\",\"Spain\",\"XRY\",\"LEJR\",36.744622,-6.060111,93,1,\"E\",\"Europe/Madrid\"\n", + "1227,\"Murcia San Javier\",\"Murcia\",\"Spain\",\"MJV\",\"LELC\",37.774972,-0.812389,11,1,\"E\",\"Europe/Madrid\"\n", + "6887,\"Alexion\",\"Porto Heli\",\"Greece\",\"PKH\",\"LGHL\",37.298792,23.148986,2224,2,\"E\",\"Europe/Athens\"\n", + "1229,\"Barajas\",\"Madrid\",\"Spain\",\"MAD\",\"LEMD\",40.493556,-3.566764,2000,1,\"E\",\"Europe/Madrid\"\n", + "1230,\"Malaga\",\"Malaga\",\"Spain\",\"AGP\",\"LEMG\",36.6749,-4.499106,52,1,\"E\",\"Europe/Madrid\"\n", + "1231,\"Menorca\",\"Menorca\",\"Spain\",\"MAH\",\"LEMH\",39.862597,4.218647,298,1,\"E\",\"Europe/Madrid\"\n", + "1232,\"Moron Ab\",\"Sevilla\",\"Spain\",\"OZP\",\"LEMO\",37.174917,-5.615944,285,1,\"E\",\"Europe/Madrid\"\n", + "1233,\"Ocana\",\"Ocana\",\"Spain\",\"\",\"LEOC\",39.9375,-3.503333,2405,1,\"E\",\"Europe/Madrid\"\n", + "1234,\"Pamplona\",\"Pamplona\",\"Spain\",\"PNA\",\"LEPP\",42.770039,-1.646331,1504,1,\"E\",\"Europe/Madrid\"\n", + "1235,\"Alcantarilla\",\"Murcia\",\"Spain\",\"\",\"LERI\",37.951111,-1.230319,250,1,\"E\",\"Europe/Madrid\"\n", + "1236,\"Reus\",\"Reus\",\"Spain\",\"REU\",\"LERS\",41.147392,1.167172,234,1,\"E\",\"Europe/Madrid\"\n", + "1237,\"Rota Ns\",\"Rota\",\"Spain\",\"\",\"LERT\",36.645211,-6.349458,86,1,\"E\",\"Europe/Madrid\"\n", + "1238,\"Salamanca\",\"Salamanca\",\"Spain\",\"SLM\",\"LESA\",40.952117,-5.501986,2595,1,\"E\",\"Europe/Madrid\"\n", + "1239,\"Son Bonet\",\"Son Bonet\",\"Spain\",\"\",\"LESB\",39.598889,2.702778,135,1,\"E\",\"Europe/Madrid\"\n", + "1240,\"Palma De Mallorca\",\"Palma De Mallorca\",\"Spain\",\"\",\"LESJ\",39.551675,2.738808,27,1,\"E\",\"Europe/Madrid\"\n", + "1241,\"San Luis\",\"San Luis\",\"Spain\",\"\",\"LESL\",39.862222,4.258333,197,1,\"E\",\"Europe/Madrid\"\n", + "1242,\"San Sebastian\",\"San Sebastian\",\"Spain\",\"EAS\",\"LESO\",43.356519,-1.790611,15,1,\"E\",\"Europe/Madrid\"\n", + "1243,\"Santiago\",\"Santiago\",\"Spain\",\"SCQ\",\"LEST\",42.896333,-8.415144,1213,1,\"E\",\"Europe/Madrid\"\n", + "1244,\"Seo De Urgel\",\"Seo De Urgel\",\"Spain\",\"LEU\",\"LESU\",42.338611,1.409167,2625,1,\"E\",\"Europe/Madrid\"\n", + "1245,\"Torrejon\",\"Madrid\",\"Spain\",\"TOJ\",\"LETO\",40.496747,-3.445872,2026,1,\"E\",\"Europe/Madrid\"\n", + "1246,\"Valencia\",\"Valencia\",\"Spain\",\"VLC\",\"LEVC\",39.489314,-0.481625,225,1,\"E\",\"Europe/Madrid\"\n", + "1247,\"Valladolid\",\"Valladolid\",\"Spain\",\"VLL\",\"LEVD\",41.706111,-4.851944,2775,1,\"E\",\"Europe/Madrid\"\n", + "1248,\"Cuatro Vientos\",\"Madrid\",\"Spain\",\"\",\"LEVS\",40.370678,-3.785144,2267,1,\"E\",\"Europe/Madrid\"\n", + "1249,\"Vitoria\",\"Vitoria\",\"Spain\",\"VIT\",\"LEVT\",42.882836,-2.724469,1682,1,\"E\",\"Europe/Madrid\"\n", + "1250,\"Vigo\",\"Vigo\",\"Spain\",\"VGO\",\"LEVX\",42.2318,-8.626775,855,1,\"E\",\"Europe/Madrid\"\n", + "1251,\"Santander\",\"Santander\",\"Spain\",\"SDR\",\"LEXJ\",43.427064,-3.820006,16,1,\"E\",\"Europe/Madrid\"\n", + "1252,\"Zaragoza Ab\",\"Zaragoza\",\"Spain\",\"ZAZ\",\"LEZG\",41.666242,-1.041553,863,1,\"E\",\"Europe/Madrid\"\n", + "1253,\"Sevilla\",\"Sevilla\",\"Spain\",\"SVQ\",\"LEZL\",37.418,-5.893106,111,1,\"E\",\"Europe/Madrid\"\n", + "1254,\"Calais Dunkerque\",\"Calais\",\"France\",\"CQF\",\"LFAC\",50.962097,1.954764,12,1,\"E\",\"Europe/Paris\"\n", + "1255,\"Peronne St Quentin\",\"Peronne\",\"France\",\"\",\"LFAG\",49.868547,3.029578,295,1,\"E\",\"Europe/Paris\"\n", + "1256,\"Les 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States\",\"0P2\",\\N,39.7948244,-76.6471914,1000,-5,\"U\",\"America/New_York\"\n", + "1534,\"Levaldigi\",\"Cuneo\",\"Italy\",\"CUF\",\"LIMZ\",44.547019,7.623217,1267,1,\"E\",\"Europe/Rome\"\n", + "1535,\"Aviano Ab\",\"Aviano\",\"Italy\",\"AVB\",\"LIPA\",46.031889,12.596472,410,1,\"E\",\"Europe/Rome\"\n", + "1536,\"Bolzano\",\"Bolzano\",\"Italy\",\"BZO\",\"LIPB\",46.460194,11.326383,789,1,\"E\",\"Europe/Rome\"\n", + "1537,\"Cervia\",\"Cervia\",\"Italy\",\"\",\"LIPC\",44.224175,12.307203,18,1,\"E\",\"Europe/Rome\"\n", + "1538,\"Bologna\",\"Bologna\",\"Italy\",\"BLQ\",\"LIPE\",44.535444,11.288667,123,1,\"E\",\"Europe/Rome\"\n", + "1539,\"Treviso\",\"Treviso\",\"Italy\",\"TSF\",\"LIPH\",45.6484,12.194422,59,1,\"E\",\"Europe/Rome\"\n", + "1540,\"Rivolto\",\"Rivolto\",\"Italy\",\"\",\"LIPI\",45.97875,13.049331,179,1,\"E\",\"Europe/Rome\"\n", + "1541,\"Forli\",\"Forli\",\"Italy\",\"FRL\",\"LIPK\",44.194753,12.070094,97,1,\"E\",\"Europe/Rome\"\n", + "1542,\"Ghedi\",\"Ghedi\",\"Italy\",\"\",\"LIPL\",45.432167,10.267667,333,1,\"E\",\"Europe/Rome\"\n", + "1543,\"Verona Boscomantico\",\"Verona\",\"Italy\",\"\",\"LIPN\",45.472017,10.927919,286,1,\"E\",\"Europe/Rome\"\n", + "1544,\"Montichiari\",\"Brescia\",\"Italy\",\"VBS\",\"LIPO\",45.428889,10.330556,356,1,\"E\",\"Europe/Rome\"\n", + "1545,\"Ronchi Dei Legionari\",\"Ronchi De Legionari\",\"Italy\",\"TRS\",\"LIPQ\",45.8275,13.472222,37,1,\"E\",\"Europe/Rome\"\n", + "1546,\"Rimini\",\"Rimini\",\"Italy\",\"RMI\",\"LIPR\",44.020292,12.611747,41,1,\"E\",\"Europe/Rome\"\n", + "1547,\"Istrana\",\"Treviso\",\"Italy\",\"\",\"LIPS\",45.684867,12.082881,137,1,\"E\",\"Europe/Rome\"\n", + "1548,\"Vicenza\",\"Vicenza\",\"Italy\",\"VIC\",\"LIPT\",45.573411,11.52955,128,1,\"E\",\"Europe/Rome\"\n", + "1549,\"Padova\",\"Padova\",\"Italy\",\"QPA\",\"LIPU\",45.395767,11.847903,44,1,\"E\",\"Europe/Rome\"\n", + "1550,\"Villafranca\",\"Villafranca\",\"Italy\",\"VRN\",\"LIPX\",45.395706,10.888533,239,1,\"E\",\"Europe/Rome\"\n", + "1551,\"Venezia Tessera\",\"Venice\",\"Italy\",\"VCE\",\"LIPZ\",45.505278,12.351944,7,1,\"E\",\"Europe/Rome\"\n", + "1552,\"Ampugnano\",\"Siena\",\"Italy\",\"SAY\",\"LIQS\",43.256286,11.255036,634,1,\"E\",\"Europe/Rome\"\n", + "1553,\"Ciampino\",\"Rome\",\"Italy\",\"CIA\",\"LIRA\",41.799361,12.594936,427,1,\"E\",\"Europe/Rome\"\n", + "1554,\"Pratica Di Mare\",\"Pratica Di Mare\",\"Italy\",\"\",\"LIRE\",41.654522,12.445183,41,1,\"E\",\"Europe/Rome\"\n", + "1555,\"Fiumicino\",\"Rome\",\"Italy\",\"FCO\",\"LIRF\",41.804475,12.250797,15,1,\"E\",\"Europe/Rome\"\n", + "1556,\"Guidonia\",\"Guidonia\",\"Italy\",\"\",\"LIRG\",41.990278,12.740833,289,1,\"E\",\"Europe/Rome\"\n", + "1558,\"Marina Di Campo\",\"Marina Di Campo\",\"Italy\",\"EBA\",\"LIRJ\",42.760277,10.239445,31,1,\"E\",\"Europe/Rome\"\n", + "1559,\"Latina\",\"Latina\",\"Italy\",\"QLT\",\"LIRL\",41.542436,12.909019,93,1,\"E\",\"Europe/Rome\"\n", + "1560,\"Grazzanise\",\"Grazzanise\",\"Italy\",\"\",\"LIRM\",41.060833,14.081944,29,1,\"E\",\"Europe/Rome\"\n", + "1561,\"Capodichino\",\"Naples\",\"Italy\",\"NAP\",\"LIRN\",40.886033,14.290781,294,1,\"E\",\"Europe/Rome\"\n", + "1562,\"Pisa\",\"Pisa\",\"Italy\",\"PSA\",\"LIRP\",43.683917,10.39275,6,1,\"E\",\"Europe/Rome\"\n", + "1563,\"Firenze\",\"Florence\",\"Italy\",\"FLR\",\"LIRQ\",43.809953,11.2051,142,1,\"E\",\"Europe/Rome\"\n", + "1564,\"Grosseto\",\"Grosseto\",\"Italy\",\"GRS\",\"LIRS\",42.759747,11.071897,15,1,\"E\",\"Europe/Rome\"\n", + "1565,\"Urbe\",\"Rome\",\"Italy\",\"\",\"LIRU\",41.951946,12.498889,55,1,\"E\",\"Europe/Rome\"\n", + "1566,\"Viterbo\",\"Viterbo\",\"Italy\",\"\",\"LIRV\",42.430183,12.064156,990,1,\"E\",\"Europe/Rome\"\n", + "1567,\"Perugia\",\"Perugia\",\"Italy\",\"PEG\",\"LIRZ\",43.095906,12.513222,693,1,\"E\",\"Europe/Rome\"\n", + "1568,\"Cerklje\",\"Cerklje\",\"Slovenia\",\"\",\"LJCE\",45.899971,15.530194,510,1,\"E\",\"Europe/Ljubljana\"\n", + "1569,\"Ljubljana\",\"Ljubljana\",\"Slovenia\",\"LJU\",\"LJLJ\",46.223686,14.457611,1273,1,\"E\",\"Europe/Ljubljana\"\n", + "1570,\"Maribor\",\"Maribor\",\"Slovenia\",\"MBX\",\"LJMB\",46.479861,15.686131,876,1,\"E\",\"Europe/Ljubljana\"\n", + "1571,\"Portoroz\",\"Portoroz\",\"Slovenia\",\"POW\",\"LJPZ\",45.473353,13.614978,7,1,\"E\",\"Europe/Ljubljana\"\n", + "1572,\"Slovenj Gradec\",\"Slovenj Gradec\",\"Slovenia\",\"\",\"LJSG\",46.471975,15.116997,1645,1,\"E\",\"Europe/Ljubljana\"\n", + "1573,\"Ceske Budejovice\",\"Ceske Budejovice\",\"Czech Republic\",\"\",\"LKCS\",48.946381,14.427464,1417,1,\"E\",\"Europe/Prague\"\n", + "1574,\"Caslav\",\"Caslav\",\"Czech Republic\",\"\",\"LKCV\",49.939653,15.381808,794,1,\"E\",\"Europe/Prague\"\n", + "1575,\"Hradec Kralove\",\"Hradec Kralove\",\"Czech Republic\",\"\",\"LKHK\",50.2532,15.845228,791,1,\"E\",\"Europe/Prague\"\n", + "1576,\"Horovice\",\"Horovice\",\"Czech Republic\",\"\",\"LKHV\",49.848111,13.893506,1214,1,\"E\",\"Europe/Prague\"\n", + "1577,\"Kbely\",\"Praha\",\"Czech Republic\",\"\",\"LKKB\",50.121367,14.543642,939,1,\"E\",\"Europe/Prague\"\n", + "1578,\"Kunovice\",\"Kunovice\",\"Czech Republic\",\"\",\"LKKU\",49.029444,17.439722,581,1,\"E\",\"Europe/Prague\"\n", + "1579,\"Karlovy Vary\",\"Karlovy Vary\",\"Czech Republic\",\"KLV\",\"LKKV\",50.202978,12.914983,1989,1,\"E\",\"Europe/Prague\"\n", + "1580,\"Plzen Line\",\"Line\",\"Czech Republic\",\"\",\"LKLN\",49.675172,13.274617,1188,1,\"E\",\"Europe/Prague\"\n", + "1581,\"Mnichovo Hradiste\",\"Mnichovo Hradiste\",\"Czech Republic\",\"\",\"LKMH\",50.540211,15.006592,800,1,\"E\",\"Europe/Prague\"\n", + "1582,\"Mosnov\",\"Ostrava\",\"Czech Republic\",\"OSR\",\"LKMT\",49.696292,18.111053,844,1,\"E\",\"Europe/Prague\"\n", + "1583,\"Namest\",\"Namest\",\"Czech Republic\",\"\",\"LKNA\",49.165833,16.124925,1548,1,\"E\",\"Europe/Prague\"\n", + "1584,\"Pardubice\",\"Pardubice\",\"Czech Republic\",\"PED\",\"LKPD\",50.013419,15.738647,741,1,\"E\",\"Europe/Prague\"\n", + "1585,\"Pribram\",\"Pribram\",\"Czech Republic\",\"\",\"LKPM\",49.720078,14.100567,1529,1,\"E\",\"Europe/Prague\"\n", + "1586,\"Prerov\",\"Prerov\",\"Czech Republic\",\"PRV\",\"LKPO\",49.425833,17.404722,676,1,\"E\",\"Europe/Prague\"\n", + "1587,\"Ruzyne\",\"Prague\",\"Czech Republic\",\"PRG\",\"LKPR\",50.100833,14.26,1247,1,\"E\",\"Europe/Prague\"\n", + "1588,\"Turany\",\"Brno\",\"Czech Republic\",\"BRQ\",\"LKTB\",49.151269,16.694433,778,1,\"E\",\"Europe/Prague\"\n", + "1589,\"Vodochody\",\"Vodochody\",\"Czech Republic\",\"\",\"LKVO\",50.216581,14.395806,919,1,\"E\",\"Europe/Prague\"\n", + "1590,\"Ben Gurion\",\"Tel-aviv\",\"Israel\",\"TLV\",\"LLBG\",32.011389,34.886667,135,2,\"U\",\"Asia/Jerusalem\"\n", + "1591,\"Teyman\",\"Beer-sheba\",\"Israel\",\"BEV\",\"LLBS\",31.287003,34.722953,656,2,\"U\",\"Asia/Jerusalem\"\n", + "1592,\"Tel Nov\",\"Tel-nof\",\"Israel\",\"\",\"LLEK\",31.839472,34.821844,193,2,\"U\",\"Asia/Jerusalem\"\n", + "1593,\"Eyn Shemer\",\"Eyn-shemer\",\"Israel\",\"\",\"LLES\",32.440814,35.007661,95,2,\"U\",\"Asia/Jerusalem\"\n", + "1594,\"Eilat\",\"Elat\",\"Israel\",\"ETH\",\"LLET\",29.561281,34.960081,42,2,\"U\",\"Asia/Jerusalem\"\n", + "1595,\"En Yahav\",\"Eyn-yahav\",\"Israel\",\"\",\"LLEY\",30.621656,35.203325,-164,2,\"U\",\"Asia/Jerusalem\"\n", + "1596,\"Haifa\",\"Haifa\",\"Israel\",\"HFA\",\"LLHA\",32.809444,35.043056,28,2,\"U\",\"Asia/Jerusalem\"\n", + "1597,\"Hatzor\",\"Haztor\",\"Israel\",\"\",\"LLHS\",31.7625,34.727222,148,2,\"U\",\"Asia/Jerusalem\"\n", + "1598,\"Mahanaim I Ben Yaakov\",\"Rosh Pina\",\"Israel\",\"RPN\",\"LLIB\",32.981047,35.571908,922,2,\"U\",\"Asia/Jerusalem\"\n", + "1599,\"Megiddo\",\"Megido Airstrip\",\"Israel\",\"\",\"LLMG\",32.597139,35.228803,200,2,\"U\",\"Asia/Jerusalem\"\n", + "1600,\"I Bar Yehuda\",\"Metzada\",\"Israel\",\"\",\"LLMZ\",31.328169,35.388608,-1266,2,\"U\",\"Asia/Jerusalem\"\n", + "1601,\"Nevatim Ab\",\"Nevatim\",\"Israel\",\"\",\"LLNV\",31.208347,35.0123,1330,2,\"U\",\"Asia/Jerusalem\"\n", + "1602,\"Ovda\",\"Ovda\",\"Israel\",\"VDA\",\"LLOV\",29.94025,34.93585,1492,2,\"U\",\"Asia/Jerusalem\"\n", + "1603,\"Ramat David\",\"Ramat David\",\"Israel\",\"\",\"LLRD\",32.665142,35.179458,185,2,\"U\",\"Asia/Jerusalem\"\n", + "1604,\"Ramon\",\"Ramon\",\"Israel\",\"\",\"LLRM\",30.776061,34.666769,2126,2,\"U\",\"Asia/Jerusalem\"\n", + "1605,\"Sde Dov\",\"Tel-aviv\",\"Israel\",\"SDV\",\"LLSD\",32.114661,34.782239,43,2,\"U\",\"Asia/Jerusalem\"\n", + "1606,\"Luqa\",\"Malta\",\"Malta\",\"MLA\",\"LMML\",35.857497,14.4775,300,1,\"E\",\"Europe/Malta\"\n", + "1607,\"Wiener Neustadt East\",\"Wiener Neustadt Ost\",\"Austria\",\"\",\"LOAN\",47.843333,16.260139,896,1,\"E\",\"Europe/Vienna\"\n", + "1608,\"Wels\",\"Wels\",\"Austria\",\"\",\"LOLW\",48.183304,14.040861,1043,1,\"E\",\"Europe/Vienna\"\n", + "1609,\"Graz\",\"Graz\",\"Austria\",\"GRZ\",\"LOWG\",46.991067,15.439628,1115,1,\"E\",\"Europe/Vienna\"\n", + "1610,\"Innsbruck\",\"Innsbruck\",\"Austria\",\"INN\",\"LOWI\",47.260219,11.343964,1906,1,\"E\",\"Europe/Vienna\"\n", + "1611,\"Linz\",\"Linz\",\"Austria\",\"LNZ\",\"LOWL\",48.233219,14.187511,978,1,\"E\",\"Europe/Vienna\"\n", + "1612,\"Salzburg\",\"Salzburg\",\"Austria\",\"SZG\",\"LOWS\",47.793304,13.004333,1411,1,\"E\",\"Europe/Vienna\"\n", + "1613,\"Schwechat\",\"Vienna\",\"Austria\",\"VIE\",\"LOWW\",48.110278,16.569722,600,1,\"E\",\"Europe/Vienna\"\n", + "1614,\"Klagenfurt\",\"Klagenfurt\",\"Austria\",\"\",\"LOXK\",46.642514,14.337739,1470,1,\"E\",\"Europe/Vienna\"\n", + "1615,\"Zeltweg\",\"Zeltweg\",\"Austria\",\"\",\"LOXZ\",47.202751,14.744223,2220,1,\"E\",\"Europe/Vienna\"\n", + "1616,\"Alverca\",\"Alverca\",\"Portugal\",\"\",\"LPAR\",38.883278,-9.030097,11,0,\"E\",\"Europe/Lisbon\"\n", + "1617,\"Santa Maria\",\"Santa Maria (island)\",\"Portugal\",\"SMA\",\"LPAZ\",36.97139,-25.170639,308,-1,\"E\",\"Atlantic/Azores\"\n", + "1618,\"Braganca\",\"Braganca\",\"Portugal\",\"BGC\",\"LPBG\",41.8578,-6.707125,2241,0,\"E\",\"Europe/Lisbon\"\n", + "1619,\"Beja\",\"Beja (madeira)\",\"Portugal\",\"\",\"LPBJ\",38.078903,-7.932397,636,0,\"E\",\"Europe/Lisbon\"\n", + "1620,\"Braga\",\"Braga\",\"Portugal\",\"\",\"LPBR\",41.587058,-8.445139,247,0,\"E\",\"Europe/Lisbon\"\n", + "1621,\"Coimbra\",\"Coimba\",\"Portugal\",\"\",\"LPCO\",40.157223,-8.47,587,0,\"E\",\"Europe/Lisbon\"\n", + "1622,\"Cascais\",\"Cascais\",\"Portugal\",\"\",\"LPCS\",38.725025,-9.355231,326,0,\"E\",\"Europe/Lisbon\"\n", + "1623,\"Covilha\",\"Covilha\",\"Portugal\",\"\",\"LPCV\",40.264772,-7.479958,1572,0,\"E\",\"Europe/Lisbon\"\n", + "1624,\"Evora\",\"Evora\",\"Portugal\",\"\",\"LPEV\",38.533472,-7.889639,807,0,\"E\",\"Europe/Lisbon\"\n", + "1625,\"Flores\",\"Flores\",\"Portugal\",\"FLW\",\"LPFL\",39.455272,-31.131361,112,-1,\"E\",\"Atlantic/Azores\"\n", + "1626,\"Faro\",\"Faro\",\"Portugal\",\"FAO\",\"LPFR\",37.014425,-7.965911,24,0,\"E\",\"Europe/Lisbon\"\n", + "1627,\"Graciosa\",\"Graciosa Island\",\"Portugal\",\"GRW\",\"LPGR\",39.092169,-28.029847,86,-1,\"E\",\"Atlantic/Azores\"\n", + "1628,\"Horta\",\"Horta\",\"Portugal\",\"HOR\",\"LPHR\",38.519894,-28.715872,118,-1,\"E\",\"Atlantic/Azores\"\n", + "1629,\"Lajes\",\"Lajes (terceira Island)\",\"Portugal\",\"TER\",\"LPLA\",38.761842,-27.090797,180,-1,\"E\",\"Atlantic/Azores\"\n", + "1630,\"Monte Real\",\"Monte Real\",\"Portugal\",\"\",\"LPMR\",39.831244,-8.887261,187,0,\"E\",\"Europe/Lisbon\"\n", + "1631,\"Montijo\",\"Montijo\",\"Portugal\",\"\",\"LPMT\",38.703861,-9.035916,46,0,\"E\",\"Europe/Lisbon\"\n", + "1632,\"Ovar\",\"Ovar\",\"Portugal\",\"\",\"LPOV\",40.915867,-8.645919,56,0,\"E\",\"Europe/Lisbon\"\n", + "1633,\"Ponta Delgada\",\"Ponta Delgada\",\"Portugal\",\"PDL\",\"LPPD\",37.741184,-25.69787,259,-1,\"E\",\"Atlantic/Azores\"\n", + "1634,\"Pico\",\"Pico\",\"Portugal\",\"PIX\",\"LPPI\",38.554333,-28.441333,109,-1,\"E\",\"Atlantic/Azores\"\n", + "1635,\"Portimao\",\"Portimao\",\"Portugal\",\"\",\"LPPM\",37.149331,-8.583961,5,0,\"E\",\"Europe/Lisbon\"\n", + "1636,\"Porto\",\"Porto\",\"Portugal\",\"OPO\",\"LPPR\",41.248055,-8.681389,228,0,\"E\",\"Europe/Lisbon\"\n", + "1637,\"Porto Santo\",\"Porto Santo\",\"Portugal\",\"PXO\",\"LPPS\",33.073386,-16.349975,341,0,\"E\",\"Europe/Lisbon\"\n", + "1638,\"Lisboa\",\"Lisbon\",\"Portugal\",\"LIS\",\"LPPT\",38.781311,-9.135919,374,0,\"E\",\"Europe/Lisbon\"\n", + "1639,\"Sao Jorge\",\"Sao Jorge Island\",\"Portugal\",\"SJZ\",\"LPSJ\",38.6655,-28.175817,311,-1,\"E\",\"Atlantic/Azores\"\n", + "1640,\"Sintra\",\"Sintra\",\"Portugal\",\"\",\"LPST\",38.831053,-9.339553,440,0,\"E\",\"Europe/Lisbon\"\n", + "1641,\"Tancos\",\"Tancos\",\"Portugal\",\"\",\"LPTN\",39.47514,-8.364583,266,0,\"E\",\"Europe/Lisbon\"\n", + "1642,\"Vila Real\",\"Vila Real\",\"Portugal\",\"VRL\",\"LPVR\",41.274334,-7.720472,1805,0,\"E\",\"Europe/Lisbon\"\n", + "1643,\"Viseu\",\"Viseu\",\"Portugal\",\"\",\"LPVZ\",40.725539,-7.888992,2060,0,\"E\",\"Europe/Lisbon\"\n", + "6883,\"Eastern Oregon Regional Airport\",\"Pendleton\",\"United States\",\"PDT\",\"KPDT\",45.695,-118.841389,1497,-8,\"A\",\"America/Los_Angeles\"\n", + "1645,\"Mostar\",\"Mostar\",\"Bosnia and Herzegovina\",\"OMO\",\"LQMO\",43.2829,17.845878,156,1,\"E\",\"Europe/Sarajevo\"\n", + "1646,\"Sarajevo\",\"Sarajevo\",\"Bosnia and Herzegovina\",\"SJJ\",\"LQSA\",43.824583,18.331467,1708,1,\"E\",\"Europe/Sarajevo\"\n", + "1647,\"Arad\",\"Arad\",\"Romania\",\"ARW\",\"LRAR\",46.17655,21.262022,352,2,\"E\",\"Europe/Bucharest\"\n", + "1648,\"Bacau\",\"Bacau\",\"Romania\",\"BCM\",\"LRBC\",46.521946,26.910278,607,2,\"E\",\"Europe/Bucharest\"\n", + "1649,\"Tautii Magheraus\",\"Baia Mare\",\"Romania\",\"BAY\",\"LRBM\",47.658389,23.470022,605,2,\"E\",\"Europe/Bucharest\"\n", + "1650,\"Aurel Vlaicu\",\"Bucharest\",\"Romania\",\"BBU\",\"LRBS\",44.503194,26.102111,297,2,\"E\",\"Europe/Bucharest\"\n", + "1651,\"Mihail Kogalniceanu\",\"Constanta\",\"Romania\",\"CND\",\"LRCK\",44.362222,28.488333,353,2,\"E\",\"Europe/Bucharest\"\n", + "1652,\"Cluj Napoca\",\"Cluj-napoca\",\"Romania\",\"CLJ\",\"LRCL\",46.785167,23.686167,1036,2,\"E\",\"Europe/Bucharest\"\n", + "1653,\"Caransebes\",\"Caransebes\",\"Romania\",\"CSB\",\"LRCS\",45.42,22.253333,866,2,\"E\",\"Europe/Bucharest\"\n", + "1654,\"Craiova\",\"Craiova\",\"Romania\",\"CRA\",\"LRCV\",44.318139,23.888611,626,2,\"E\",\"Europe/Bucharest\"\n", + "1655,\"Iasi\",\"Iasi\",\"Romania\",\"IAS\",\"LRIA\",47.178492,27.620631,397,2,\"E\",\"Europe/Bucharest\"\n", + "1656,\"Oradea\",\"Oradea\",\"Romania\",\"OMR\",\"LROD\",47.025278,21.9025,465,2,\"E\",\"Europe/Bucharest\"\n", + "1657,\"Henri Coanda\",\"Bucharest\",\"Romania\",\"OTP\",\"LROP\",44.572161,26.102178,314,2,\"E\",\"Europe/Bucharest\"\n", + "1658,\"Sibiu\",\"Sibiu\",\"Romania\",\"SBZ\",\"LRSB\",45.785597,24.091342,1496,2,\"E\",\"Europe/Bucharest\"\n", + "1659,\"Satu Mare\",\"Satu Mare\",\"Romania\",\"SUJ\",\"LRSM\",47.703275,22.8857,405,2,\"E\",\"Europe/Bucharest\"\n", + "1660,\"Stefan Cel Mare\",\"Suceava\",\"Romania\",\"SCV\",\"LRSV\",47.6875,26.354056,1375,2,\"E\",\"Europe/Bucharest\"\n", + "1661,\"Cataloi\",\"Tulcea\",\"Romania\",\"TCE\",\"LRTC\",45.062486,28.714311,200,2,\"E\",\"Europe/Bucharest\"\n", + "1662,\"Transilvania Targu Mures\",\"Tirgu Mures\",\"Romania\",\"TGM\",\"LRTM\",46.467714,24.412525,963,2,\"E\",\"Europe/Bucharest\"\n", + "1663,\"Traian Vuia\",\"Timisoara\",\"Romania\",\"TSR\",\"LRTR\",45.809861,21.337861,348,2,\"E\",\"Europe/Bucharest\"\n", + "1664,\"Les Eplatures\",\"Les Eplatures\",\"Switzerland\",\"\",\"LSGC\",47.08385,6.792836,3368,1,\"E\",\"Europe/Zurich\"\n", + "1665,\"Geneve Cointrin\",\"Geneva\",\"Switzerland\",\"GVA\",\"LSGG\",46.238064,6.10895,1411,1,\"E\",\"Europe/Paris\"\n", + "1666,\"Saanen\",\"Saanen\",\"Switzerland\",\"\",\"LSGK\",46.487499,7.250834,3307,1,\"E\",\"Europe/Zurich\"\n", + "1667,\"Sion\",\"Sion\",\"Switzerland\",\"SIR\",\"LSGS\",46.219592,7.326764,1585,1,\"E\",\"Europe/Zurich\"\n", + "1668,\"Alpnach\",\"Alpnach\",\"Switzerland\",\"\",\"LSMA\",46.943889,8.284167,1460,1,\"E\",\"Europe/Zurich\"\n", + "1669,\"Dubendorf\",\"Dubendorf\",\"Switzerland\",\"\",\"LSMD\",47.398644,8.648231,1470,1,\"E\",\"Europe/Zurich\"\n", + "1670,\"Emmen\",\"Emmen\",\"Switzerland\",\"\",\"LSME\",47.092369,8.305117,1400,1,\"E\",\"Europe/Zurich\"\n", + "1671,\"Mollis\",\"Mollis\",\"Switzerland\",\"\",\"LSMF\",47.078872,9.064831,1485,1,\"E\",\"Europe/Zurich\"\n", + "1672,\"Meiringen\",\"Meiringen\",\"Switzerland\",\"\",\"LSMM\",46.743333,8.11,1895,1,\"E\",\"Europe/Zurich\"\n", + "1673,\"Payerne\",\"Payerne\",\"Switzerland\",\"\",\"LSMP\",46.843208,6.915058,1465,1,\"E\",\"Europe/Zurich\"\n", + "1674,\"Buochs\",\"Buochs\",\"Switzerland\",\"\",\"LSMU\",46.974914,8.39915,1475,1,\"E\",\"Europe/Zurich\"\n", + "1675,\"Lugano\",\"Lugano\",\"Switzerland\",\"LUG\",\"LSZA\",46.004275,8.910578,915,1,\"E\",\"Europe/Zurich\"\n", + "1676,\"Bern Belp\",\"Bern\",\"Switzerland\",\"BRN\",\"LSZB\",46.9141,7.497153,1674,1,\"E\",\"Europe/Zurich\"\n", + "1677,\"Grenchen\",\"Grenchen\",\"Switzerland\",\"\",\"LSZG\",47.181628,7.417189,1411,1,\"E\",\"Europe/Zurich\"\n", + "1678,\"Zurich\",\"Zurich\",\"Switzerland\",\"ZRH\",\"LSZH\",47.464722,8.549167,1416,1,\"E\",\"Europe/Zurich\"\n", + "1679,\"St Gallen Altenrhein\",\"Altenrhein\",\"Switzerland\",\"ACH\",\"LSZR\",47.485033,9.560775,1306,1,\"E\",\"Europe/Zurich\"\n", + "1680,\"Samedan\",\"Samedan\",\"Switzerland\",\"SMV\",\"LSZS\",46.534075,9.884106,5600,1,\"E\",\"Europe/Zurich\"\n", + "1681,\"Guvercinlik\",\"Ankara\",\"Turkey\",\"\",\"LTAB\",39.93495,32.740775,2694,2,\"E\",\"Europe/Istanbul\"\n", + "1682,\"Esenboga\",\"Ankara\",\"Turkey\",\"ESB\",\"LTAC\",40.128082,32.995083,3125,2,\"E\",\"Europe/Istanbul\"\n", + "1683,\"Etimesgut\",\"Ankara\",\"Turkey\",\"ANK\",\"LTAD\",39.949831,32.688622,2653,2,\"E\",\"Europe/Istanbul\"\n", + "1684,\"Akinci\",\"Ankara\",\"Turkey\",\"\",\"LTAE\",40.078919,32.565625,2767,2,\"E\",\"Europe/Istanbul\"\n", + "1685,\"Adana\",\"Adana\",\"Turkey\",\"ADA\",\"LTAF\",36.982166,35.280388,65,2,\"E\",\"Europe/Istanbul\"\n", + "1686,\"Incirlik Ab\",\"Adana\",\"Turkey\",\"\",\"LTAG\",37.0021,35.425894,238,2,\"E\",\"Europe/Istanbul\"\n", + "1687,\"Afyon\",\"Afyon\",\"Turkey\",\"AFY\",\"LTAH\",38.726425,30.601114,3310,2,\"E\",\"Europe/Istanbul\"\n", + "1688,\"Antalya\",\"Antalya\",\"Turkey\",\"AYT\",\"LTAI\",36.898731,30.800461,177,2,\"E\",\"Europe/Istanbul\"\n", + "1689,\"Oguzeli\",\"Gaziantep\",\"Turkey\",\"GZT\",\"LTAJ\",36.947183,37.478683,2315,2,\"E\",\"Europe/Istanbul\"\n", + "1690,\"Iskenderun\",\"Iskenderun\",\"Turkey\",\"\",\"LTAK\",36.573472,36.154,25,2,\"E\",\"Europe/Istanbul\"\n", + "1691,\"Konya\",\"Konya\",\"Turkey\",\"KYA\",\"LTAN\",37.979,32.561861,3381,2,\"E\",\"Europe/Istanbul\"\n", + "1692,\"Tulga\",\"Malatya\",\"Turkey\",\"\",\"LTAO\",38.35375,38.253944,3016,2,\"E\",\"Europe/Istanbul\"\n", + "1693,\"Merzifon\",\"Merzifon\",\"Turkey\",\"MZH\",\"LTAP\",40.829375,35.521992,1758,2,\"E\",\"Europe/Istanbul\"\n", + "1694,\"Sivas\",\"Sivas\",\"Turkey\",\"VAS\",\"LTAR\",39.813828,36.903497,5236,2,\"E\",\"Europe/Istanbul\"\n", + "1695,\"Erhac\",\"Malatya\",\"Turkey\",\"MLX\",\"LTAT\",38.435347,38.091006,2828,2,\"E\",\"Europe/Istanbul\"\n", + "1696,\"Erkilet\",\"Kayseri\",\"Turkey\",\"ASR\",\"LTAU\",38.770386,35.495428,3463,2,\"E\",\"Europe/Istanbul\"\n", + "1697,\"Sivrihisar\",\"Sivrihisar\",\"Turkey\",\"\",\"LTAV\",39.451469,31.365308,3185,2,\"E\",\"Europe/Istanbul\"\n", + "1698,\"Tokat\",\"Tokat\",\"Turkey\",\"\",\"LTAW\",40.306281,36.371089,1831,2,\"E\",\"Europe/Istanbul\"\n", + "1699,\"Cardak\",\"Denizli\",\"Turkey\",\"DNZ\",\"LTAY\",37.785567,29.701297,2795,2,\"E\",\"Europe/Istanbul\"\n", + "1701,\"Ataturk\",\"Istanbul\",\"Turkey\",\"IST\",\"LTBA\",40.976922,28.814606,163,2,\"E\",\"Europe/Istanbul\"\n", + "1702,\"Balikesir\",\"Balikesir\",\"Turkey\",\"BZI\",\"LTBF\",39.619258,27.925958,340,2,\"E\",\"Europe/Istanbul\"\n", + "1703,\"Bandirma\",\"Bandirma\",\"Turkey\",\"BDM\",\"LTBG\",40.317972,27.977694,170,2,\"E\",\"Europe/Istanbul\"\n", + "6882,\"Tyonek Airport\",\"Tyonek\",\"United States\",\"TYE\",\\N,61.076667,-151.138056,110,-9,\"A\",\"America/Anchorage\"\n", + "1705,\"Eskisehir\",\"Eskisehir\",\"Turkey\",\"ESK\",\"LTBI\",39.784138,30.582111,2581,2,\"E\",\"Europe/Istanbul\"\n", + "1706,\"Adnan Menderes\",\"Izmir\",\"Turkey\",\"ADB\",\"LTBJ\",38.292392,27.156953,412,2,\"E\",\"Europe/Istanbul\"\n", + "1707,\"Gaziemir\",\"Izmir\",\"Turkey\",\"\",\"LTBK\",38.319106,27.159353,433,2,\"E\",\"Europe/Istanbul\"\n", + "1708,\"Cigli\",\"Izmir\",\"Turkey\",\"IGL\",\"LTBL\",38.513022,27.010053,16,2,\"E\",\"Europe/Istanbul\"\n", + "1709,\"Isparta\",\"Isparta\",\"Turkey\",\"\",\"LTBM\",37.785369,30.581817,3250,2,\"E\",\"Europe/Istanbul\"\n", + "1710,\"Kutahya\",\"Kutahya\",\"Turkey\",\"\",\"LTBN\",39.426708,30.016872,3026,2,\"E\",\"Europe/Istanbul\"\n", + "1712,\"Yalova\",\"Yalova\",\"Turkey\",\"\",\"LTBP\",40.684353,29.375728,6,2,\"E\",\"Europe/Istanbul\"\n", + "1713,\"Topel\",\"Topel\",\"Turkey\",\"\",\"LTBQ\",40.735028,30.083336,182,2,\"E\",\"Europe/Istanbul\"\n", + "1715,\"Dalaman\",\"Dalaman\",\"Turkey\",\"DLM\",\"LTBS\",36.713056,28.7925,20,2,\"E\",\"Europe/Istanbul\"\n", + "1716,\"Akhisar\",\"Akhisar\",\"Turkey\",\"\",\"LTBT\",38.808887,27.83386,263,2,\"E\",\"Europe/Istanbul\"\n", + "6881,\"Riverton Regional\",\"Riverton WY\",\"United States\",\"RIW\",\"KRIW\",43.064167,-108.459722,5525,-7,\"A\",\"America/Denver\"\n", + "1718,\"Imsik\",\"Bodrum\",\"Turkey\",\"BXN\",\"LTBV\",37.140144,27.669717,202,2,\"E\",\"Europe/Istanbul\"\n", + "1719,\"Samandira\",\"Istanbul\",\"Turkey\",\"\",\"LTBX\",40.992975,29.216539,400,2,\"E\",\"Europe/Istanbul\"\n", + "1721,\"Elazig\",\"Elazig\",\"Turkey\",\"EZS\",\"LTCA\",38.606925,39.291417,2927,2,\"E\",\"Europe/Istanbul\"\n", + "1722,\"Diyarbakir\",\"Diyabakir\",\"Turkey\",\"DIY\",\"LTCC\",37.893897,40.201019,2251,2,\"E\",\"Europe/Istanbul\"\n", + "1723,\"Erzincan\",\"Erzincan\",\"Turkey\",\"ERC\",\"LTCD\",39.710203,39.527003,3783,2,\"E\",\"Europe/Istanbul\"\n", + "1724,\"Erzurum\",\"Erzurum\",\"Turkey\",\"ERZ\",\"LTCE\",39.956501,41.170166,5763,2,\"E\",\"Europe/Istanbul\"\n", + "1726,\"Trabzon\",\"Trabzon\",\"Turkey\",\"TZX\",\"LTCG\",40.995108,39.789728,104,2,\"E\",\"Europe/Istanbul\"\n", + "6880,\"Montrose Regional Airport\",\"Montrose CO\",\"United States\",\"MTJ\",\"KMTJ\",38.509794,-107.894242,5759,-7,\"A\",\"America/Denver\"\n", + "1728,\"Van\",\"Van\",\"Turkey\",\"VAN\",\"LTCI\",38.468219,43.3323,5480,2,\"E\",\"Europe/Istanbul\"\n", + "1729,\"Batman\",\"Batman\",\"Turkey\",\"BAL\",\"LTCJ\",37.928969,41.116583,1822,2,\"E\",\"Europe/Istanbul\"\n", + "1731,\"Siirt\",\"Siirt\",\"Turkey\",\"\",\"LTCL\",37.978886,41.840436,2001,2,\"E\",\"Europe/Istanbul\"\n", + "1732,\"Kaklic\",\"Izmir\",\"Turkey\",\"\",\"LTFA\",38.517608,26.977406,13,2,\"E\",\"Europe/Istanbul\"\n", + "1733,\"Efes\",\"Izmir\",\"Turkey\",\"\",\"LTFB\",37.950747,27.329014,10,2,\"E\",\"Europe/Istanbul\"\n", + "1734,\"Balti Intl\",\"Saltsy\",\"Moldova\",\"\",\"LUBL\",47.838114,27.781475,758,2,\"E\",\"Europe/Chisinau\"\n", + "1735,\"Chisinau Intl\",\"Chisinau\",\"Moldova\",\"KIV\",\"LUKK\",46.927744,28.930978,399,2,\"E\",\"Europe/Chisinau\"\n", + "1736,\"Ohrid\",\"Ohrid\",\"Macedonia\",\"OHD\",\"LWOH\",41.179956,20.742325,2313,1,\"E\",\"Europe/Skopje\"\n", + "1737,\"Skopje\",\"Skopje\",\"Macedonia\",\"SKP\",\"LWSK\",41.961622,21.621381,781,1,\"E\",\"Europe/Skopje\"\n", + "1738,\"Gibraltar\",\"Gibraltar\",\"Gibraltar\",\"GIB\",\"LXGB\",36.151219,-5.349664,15,1,\"N\",\"Europe/Gibraltar\"\n", + "1739,\"Beograd\",\"Belgrade\",\"Serbia\",\"BEG\",\"LYBE\",44.818444,20.309139,335,1,\"E\",\"Europe/Belgrade\"\n", + "1740,\"Nis\",\"Nis\",\"Serbia\",\"INI\",\"LYNI\",43.337289,21.853722,648,1,\"E\",\"Europe/Belgrade\"\n", + "1741,\"Podgorica\",\"Podgorica\",\"Montenegro\",\"TGD\",\"LYPG\",42.359392,19.251894,141,1,\"E\",\"Europe/Podgorica\"\n", + "1742,\"Pristina\",\"Pristina\",\"Serbia\",\"PRN\",\"LYPR\",42.572778,21.035833,1789,1,\"E\",\"Europe/Belgrade\"\n", + "1743,\"Tivat\",\"Tivat\",\"Montenegro\",\"TIV\",\"LYTV\",42.404664,18.723286,20,1,\"E\",\"Europe/Podgorica\"\n", + "1744,\"Vrsac\",\"Vrsac\",\"Serbia\",\"\",\"LYVR\",45.146889,21.309889,276,1,\"E\",\"Europe/Belgrade\"\n", + "1745,\"M R Stefanik\",\"Bratislava\",\"Slovakia\",\"BTS\",\"LZIB\",48.170167,17.212667,436,1,\"E\",\"Europe/Bratislava\"\n", + "1746,\"Kosice\",\"Kosice\",\"Slovakia\",\"KSC\",\"LZKZ\",48.663055,21.241112,755,1,\"E\",\"Europe/Bratislava\"\n", + "1747,\"Malacky\",\"Malacky\",\"Slovakia\",\"\",\"LZMC\",48.402028,17.118389,679,1,\"E\",\"Europe/Bratislava\"\n", + "1748,\"Piestany\",\"Piestany\",\"Slovakia\",\"PZY\",\"LZPP\",48.625247,17.828444,545,1,\"E\",\"Europe/Bratislava\"\n", + "1749,\"Sliac\",\"Sliac\",\"Slovakia\",\"SLD\",\"LZSL\",48.637839,19.134108,1043,1,\"E\",\"Europe/Bratislava\"\n", + "1750,\"Trencin\",\"Trencin\",\"Slovakia\",\"\",\"LZTN\",48.865003,17.99225,676,1,\"E\",\"Europe/Bratislava\"\n", + "1751,\"Tatry\",\"Poprad\",\"Slovakia\",\"TAT\",\"LZTT\",49.073594,20.241142,2356,1,\"E\",\"Europe/Bratislava\"\n", + "6879,\"Clow International Airport\",\"Bolingbrook\",\"United States\",\"1CS\",\\N,41.6959744,-88.1292306,670,-6,\"U\",\"America/Chicago\"\n", + "1753,\"North Caicos\",\"North Caicos\",\"Turks and Caicos Islands\",\"NCA\",\"MBNC\",21.917475,-71.939561,10,-5,\"U\",\"America/Grand_Turk\"\n", + "1754,\"Providenciales\",\"Providenciales\",\"Turks and Caicos Islands\",\"PLS\",\"MBPV\",21.773625,-72.265886,15,-5,\"U\",\"America/Grand_Turk\"\n", + "1755,\"South Caicos\",\"South Caicos\",\"Turks and Caicos Islands\",\"XSC\",\"MBSC\",21.515739,-71.528528,6,-5,\"U\",\"America/Grand_Turk\"\n", + "1756,\"Arroyo Barril Intl\",\"Samana\",\"Dominican Republic\",\"EPS\",\"MDAB\",19.198586,-69.429772,57,-4,\"U\",\"America/Santo_Domingo\"\n", + "1757,\"Maria Montez Intl\",\"Barahona\",\"Dominican Republic\",\"BRX\",\"MDBH\",18.251464,-71.1204,10,-4,\"U\",\"America/Santo_Domingo\"\n", + "1758,\"Cabo Rojo\",\"Cabo Rojo\",\"Dominican Republic\",\"\",\"MDCR\",17.928981,-71.644769,262,-4,\"U\",\"America/Santo_Domingo\"\n", + "1759,\"Casa De Campo Intl\",\"La Romana\",\"Dominican Republic\",\"LRM\",\"MDLR\",18.450711,-68.911833,240,-4,\"U\",\"America/Santo_Domingo\"\n", + "1760,\"Punta Cana Intl\",\"Punta Cana\",\"Dominican Republic\",\"PUJ\",\"MDPC\",18.567367,-68.363431,47,-4,\"U\",\"America/Santo_Domingo\"\n", + "1761,\"Gregorio Luperon Intl\",\"Puerto Plata\",\"Dominican Republic\",\"POP\",\"MDPP\",19.7579,-70.570033,15,-4,\"U\",\"America/Santo_Domingo\"\n", + "1762,\"Las Americas Intl\",\"Santo Domingo\",\"Dominican Republic\",\"SDQ\",\"MDSD\",18.429664,-69.668925,59,-4,\"U\",\"America/Santo_Domingo\"\n", + "1763,\"San Isidro Ab\",\"San Isidoro\",\"Dominican Republic\",\"\",\"MDSI\",18.503706,-69.761706,111,-4,\"U\",\"America/Santo_Domingo\"\n", + "1764,\"Cibao Intl\",\"Santiago\",\"Dominican Republic\",\"STI\",\"MDST\",19.406092,-70.604689,565,-4,\"U\",\"America/Santo_Domingo\"\n", + "1765,\"Bananera\",\"Bananera\",\"Guatemala\",\"\",\"MGBN\",15.473528,-88.837222,130,-6,\"U\",\"America/Guatemala\"\n", + "1766,\"Coban\",\"Coban\",\"Guatemala\",\"CBV\",\"MGCB\",15.468958,-90.406742,4339,-6,\"U\",\"America/Guatemala\"\n", + "1767,\"La Aurora\",\"Guatemala City\",\"Guatemala\",\"GUA\",\"MGGT\",14.583272,-90.527475,4952,-6,\"U\",\"America/Guatemala\"\n", + "1769,\"Retalhuleu\",\"Retalhuleu\",\"Guatemala\",\"\",\"MGRT\",14.521017,-91.697256,656,-6,\"U\",\"America/Guatemala\"\n", + "1770,\"San Jose\",\"San Jose\",\"Guatemala\",\"\",\"MGSJ\",13.936192,-90.835833,29,-6,\"U\",\"America/Guatemala\"\n", + "1771,\"Goloson Intl\",\"La Ceiba\",\"Honduras\",\"LCE\",\"MHLC\",15.742481,-86.853036,49,-6,\"U\",\"America/Tegucigalpa\"\n", + "1772,\"La Mesa Intl\",\"San Pedro Sula\",\"Honduras\",\"SAP\",\"MHLM\",15.452639,-87.923556,91,-6,\"U\",\"America/Tegucigalpa\"\n", + "1773,\"Guanaja\",\"Guanaja\",\"Honduras\",\"GJA\",\"MHNJ\",16.445367,-85.906611,49,-6,\"U\",\"America/Tegucigalpa\"\n", + "1774,\"Juan Manuel Galvez Intl\",\"Roatan\",\"Honduras\",\"RTB\",\"MHRO\",16.316814,-86.522961,18,-6,\"U\",\"America/Tegucigalpa\"\n", + "1775,\"Tela\",\"Tela\",\"Honduras\",\"TEA\",\"MHTE\",15.775864,-87.475847,7,-6,\"U\",\"America/Tegucigalpa\"\n", + "1776,\"Toncontin Intl\",\"Tegucigalpa\",\"Honduras\",\"TGU\",\"MHTG\",14.060883,-87.217197,3294,-6,\"U\",\"America/Tegucigalpa\"\n", + "1777,\"Trujillo\",\"Trujillo\",\"Honduras\",\"\",\"MHTJ\",15.926847,-85.93825,3,-6,\"U\",\"America/Tegucigalpa\"\n", + "1778,\"Boscobel\",\"Ocho Rios\",\"Jamaica\",\"OCJ\",\"MKBS\",18.404247,-76.969017,90,-5,\"U\",\"America/Jamaica\"\n", + "1779,\"Norman Manley Intl\",\"Kingston\",\"Jamaica\",\"KIN\",\"MKJP\",17.935667,-76.7875,10,-5,\"U\",\"America/Jamaica\"\n", + "1780,\"Sangster Intl\",\"Montego Bay\",\"Jamaica\",\"MBJ\",\"MKJS\",18.503717,-77.913358,4,-5,\"U\",\"America/Jamaica\"\n", + "1781,\"Ken Jones\",\"Port Antonio\",\"Jamaica\",\"POT\",\"MKKJ\",18.198806,-76.534528,20,-5,\"U\",\"America/Jamaica\"\n", + "1782,\"Tinson Pen\",\"Kingston\",\"Jamaica\",\"KTP\",\"MKTP\",17.988558,-76.823761,16,-5,\"U\",\"America/Jamaica\"\n", + "1783,\"General Juan N Alvarez Intl\",\"Acapulco\",\"Mexico\",\"ACA\",\"MMAA\",16.757061,-99.753953,16,-6,\"S\",\"America/Mexico_City\"\n", + "1784,\"Del Norte Intl\",\"Monterrey\",\"Mexico\",\"NTR\",\"MMAN\",25.865572,-100.237239,1476,-6,\"S\",\"America/Mexico_City\"\n", + "1785,\"Jesus Teran Intl\",\"Aguascalientes\",\"Mexico\",\"AGU\",\"MMAS\",21.705558,-102.317858,6112,-6,\"S\",\"America/Mexico_City\"\n", + "1786,\"Bahias De Huatulco Intl\",\"Huatulco\",\"Mexico\",\"HUX\",\"MMBT\",15.775317,-96.262572,464,-6,\"S\",\"America/Mexico_City\"\n", + "1787,\"General Mariano Matamoros\",\"Cuernavaca\",\"Mexico\",\"CVJ\",\"MMCB\",18.834764,-99.2613,4277,-6,\"S\",\"America/Mexico_City\"\n", + "1788,\"Ciudad Acuna Intl New\",\"Ciudad Acuna\",\"Mexico\",\"\",\"MMCC\",29.333917,-101.100892,1410,-6,\"S\",\"America/Mexico_City\"\n", + "1789,\"Ciudad Del Carmen Intl\",\"Ciudad Del Carmen\",\"Mexico\",\"CME\",\"MMCE\",18.653739,-91.799017,10,-6,\"S\",\"America/Mexico_City\"\n", + "1790,\"Nuevo Casas Grandes\",\"Nuevo Casas Grandes\",\"Mexico\",\"\",\"MMCG\",30.397439,-107.874969,4850,-7,\"S\",\"America/Mazatlan\"\n", + "1791,\"Chilpancingo\",\"Chilpancingo\",\"Mexico\",\"\",\"MMCH\",17.573767,-99.514339,4199,-6,\"S\",\"America/Mexico_City\"\n", + "1792,\"Culiacan Intl\",\"Culiacan\",\"Mexico\",\"CUL\",\"MMCL\",24.764547,-107.474717,108,-7,\"S\",\"America/Mazatlan\"\n", + "1793,\"Chetumal Intl\",\"Chetumal\",\"Mexico\",\"CTM\",\"MMCM\",18.504667,-88.326847,39,-6,\"S\",\"America/Mexico_City\"\n", + "1794,\"Ciudad Obregon Intl\",\"Ciudad Obregon\",\"Mexico\",\"CEN\",\"MMCN\",27.392639,-109.833111,205,-7,\"S\",\"America/Hermosillo\"\n", + "1795,\"Ingeniero Alberto Acuna Ongay Intl\",\"Campeche\",\"Mexico\",\"CPE\",\"MMCP\",19.816794,-90.500314,34,-6,\"S\",\"America/Mexico_City\"\n", + "1796,\"Abraham Gonzalez Intl\",\"Ciudad Juarez\",\"Mexico\",\"CJS\",\"MMCS\",31.636133,-106.428667,3904,-7,\"S\",\"America/Mazatlan\"\n", + "1797,\"General R Fierro Villalobos Intl\",\"Chihuahua\",\"Mexico\",\"CUU\",\"MMCU\",28.702875,-105.964567,4462,-7,\"S\",\"America/Mazatlan\"\n", + "1798,\"General Pedro Jose Mendez Intl\",\"Ciudad Victoria\",\"Mexico\",\"CVM\",\"MMCV\",23.703336,-98.956486,761,-6,\"S\",\"America/Mexico_City\"\n", + "6878,\"Kenosha Regional Airport\",\"Kenosha\",\"United States\",\"ENW\",\\N,42.5956944,-87.9278056,742,-6,\"A\",\"America/Chicago\"\n", + "1800,\"Cozumel Intl\",\"Cozumel\",\"Mexico\",\"CZM\",\"MMCZ\",20.522403,-86.925644,15,-6,\"S\",\"America/Mexico_City\"\n", + "1801,\"Durango Intl\",\"Durango\",\"Mexico\",\"DGO\",\"MMDO\",24.124194,-104.528014,6104,-6,\"S\",\"America/Mexico_City\"\n", + "1802,\"Tepic\",\"Tepic\",\"Mexico\",\"TPQ\",\"MMEP\",21.419453,-104.842581,3020,-7,\"S\",\"America/Mazatlan\"\n", + "1803,\"Ensenada\",\"Ensenada\",\"Mexico\",\"ESE\",\"MMES\",31.795281,-116.602772,66,-8,\"S\",\"America/Tijuana\"\n", + "1804,\"Don Miguel Hidalgo Y Costilla Intl\",\"Guadalajara\",\"Mexico\",\"GDL\",\"MMGL\",20.5218,-103.311167,5016,-6,\"S\",\"America/Mexico_City\"\n", + "1805,\"General Jose Maria Yanez Intl\",\"Guaymas\",\"Mexico\",\"GYM\",\"MMGM\",27.968983,-110.925169,59,-7,\"S\",\"America/Hermosillo\"\n", + "1806,\"Tehuacan\",\"Tehuacan\",\"Mexico\",\"TCN\",\"MMHC\",18.497189,-97.419942,5509,-6,\"S\",\"America/Mexico_City\"\n", + "1807,\"General Ignacio P Garcia Intl\",\"Hermosillo\",\"Mexico\",\"HMO\",\"MMHO\",29.095858,-111.047858,627,-7,\"S\",\"America/Hermosillo\"\n", + "1808,\"Colima\",\"Colima\",\"Mexico\",\"CLQ\",\"MMIA\",19.277011,-103.577397,2467,-6,\"S\",\"America/Mexico_City\"\n", + "1809,\"Isla Mujeres\",\"Isla Mujeres\",\"Mexico\",\"ISJ\",\"MMIM\",21.245033,-86.739967,7,-6,\"S\",\"America/Mexico_City\"\n", + "1810,\"Plan De Guadalupe Intl\",\"Saltillo\",\"Mexico\",\"SLW\",\"MMIO\",25.549497,-100.928669,4778,-6,\"S\",\"America/Mexico_City\"\n", + "1811,\"Ixtepec\",\"Iztepec\",\"Mexico\",\"\",\"MMIT\",16.449336,-95.093697,164,-6,\"S\",\"America/Mexico_City\"\n", + "1813,\"Lazaro Cardenas\",\"Lazard Cardenas\",\"Mexico\",\"LZC\",\"MMLC\",18.001731,-102.220525,39,-6,\"S\",\"America/Mexico_City\"\n", + "1814,\"Valle Del Fuerte Intl\",\"Los Mochis\",\"Mexico\",\"LMM\",\"MMLM\",25.685194,-109.080806,16,-7,\"S\",\"America/Mazatlan\"\n", + "1815,\"Guanajuato Intl\",\"Del Bajio\",\"Mexico\",\"BJX\",\"MMLO\",20.993464,-101.480847,5956,-6,\"S\",\"America/Mexico_City\"\n", + "1816,\"General Manuel Marquez De Leon Intl\",\"La Paz\",\"Mexico\",\"LAP\",\"MMLP\",24.072694,-110.362475,69,-7,\"S\",\"America/Mazatlan\"\n", + "1817,\"Loreto Intl\",\"Loreto\",\"Mexico\",\"LTO\",\"MMLT\",25.989194,-111.348361,34,-7,\"S\",\"America/Mazatlan\"\n", + "1818,\"General Servando Canales Intl\",\"Matamoros\",\"Mexico\",\"MAM\",\"MMMA\",25.769894,-97.525311,25,-6,\"S\",\"America/Mexico_City\"\n", + "1819,\"Licenciado Manuel Crescencio Rejon Int\",\"Merida\",\"Mexico\",\"MID\",\"MMMD\",20.936981,-89.657672,38,-6,\"S\",\"America/Mexico_City\"\n", + "1820,\"General Rodolfo Sanchez Taboada Intl\",\"Mexicali\",\"Mexico\",\"MXL\",\"MMML\",32.630634,-115.241637,74,-8,\"S\",\"America/Tijuana\"\n", + "1821,\"General Francisco J Mujica Intl\",\"Morelia\",\"Mexico\",\"MLM\",\"MMMM\",19.849944,-101.0255,6033,-6,\"S\",\"America/Mexico_City\"\n", + "1822,\"Minatitlan\",\"Minatitlan\",\"Mexico\",\"MTT\",\"MMMT\",18.103419,-94.580681,36,-6,\"S\",\"America/Mexico_City\"\n", + "1823,\"Monclova Intl\",\"Monclova\",\"Mexico\",\"LOV\",\"MMMV\",26.955733,-101.470136,1864,-6,\"S\",\"America/Mexico_City\"\n", + "1824,\"Licenciado Benito Juarez Intl\",\"Mexico City\",\"Mexico\",\"MEX\",\"MMMX\",19.436303,-99.072097,7316,-6,\"S\",\"America/Mexico_City\"\n", + "1825,\"General Mariano Escobedo Intl\",\"Monterrey\",\"Mexico\",\"MTY\",\"MMMY\",25.778489,-100.106878,1278,-6,\"S\",\"America/Mexico_City\"\n", + "1826,\"General Rafael Buelna Intl\",\"Mazatlan\",\"Mexico\",\"MZT\",\"MMMZ\",23.161356,-106.266072,38,-7,\"S\",\"America/Mazatlan\"\n", + "1827,\"Nogales Intl\",\"Nogales\",\"Mexico\",\"NOG\",\"MMNG\",31.226083,-110.975831,3990,-7,\"S\",\"America/Hermosillo\"\n", + "1828,\"Quetzalcoatl Intl\",\"Nuevo Laredo\",\"Mexico\",\"NLD\",\"MMNL\",27.443918,-99.57046,484,-6,\"S\",\"America/Mexico_City\"\n", + "1829,\"Xoxocotlan Intl\",\"Oaxaca\",\"Mexico\",\"OAX\",\"MMOX\",16.999906,-96.726639,4989,-6,\"S\",\"America/Mexico_City\"\n", + "1830,\"Tajin\",\"Poza Rico\",\"Mexico\",\"PAZ\",\"MMPA\",20.602671,-97.460839,497,-6,\"S\",\"America/Mexico_City\"\n", + "1831,\"Hermanos Serdan Intl\",\"Puebla\",\"Mexico\",\"PBC\",\"MMPB\",19.158144,-98.371447,7361,-6,\"S\",\"America/Mexico_City\"\n", + "1832,\"Ingeniero Juan Guillermo Villasana\",\"Pachuca\",\"Mexico\",\"PCA\",\"MMPC\",20.0772,-98.782814,7600,-6,\"S\",\"America/Mexico_City\"\n", + "1833,\"Puerto Penasco\",\"Punta Penasco\",\"Mexico\",\"PPE\",\"MMPE\",31.351878,-113.525728,30,-7,\"S\",\"America/Hermosillo\"\n", + "1834,\"Piedras Negras Intl\",\"Piedras Negras\",\"Mexico\",\"PDS\",\"MMPG\",28.627394,-100.535211,901,-6,\"S\",\"America/Mexico_City\"\n", + "1835,\"Licenciado Y Gen Ignacio Lopez Rayon\",\"Uruapan\",\"Mexico\",\"UPN\",\"MMPN\",19.396692,-102.039056,5258,-6,\"S\",\"America/Mexico_City\"\n", + "1836,\"Licenciado Gustavo Diaz Ordaz Intl\",\"Puerto Vallarta\",\"Mexico\",\"PVR\",\"MMPR\",20.680083,-105.254167,23,-6,\"S\",\"America/Mexico_City\"\n", + "1837,\"Puerto Escondido Intl\",\"Puerto Escondido\",\"Mexico\",\"PXM\",\"MMPS\",15.876861,-97.089117,294,-6,\"S\",\"America/Mexico_City\"\n", + "1838,\"Queretaro Intercontinental\",\"Queretaro\",\"Mexico\",\"QRO\",\"MMQT\",20.617289,-100.185658,6296,-6,\"S\",\"America/Mexico_City\"\n", + "1839,\"General Lucio Blanco Intl\",\"Reynosa\",\"Mexico\",\"REX\",\"MMRX\",26.008908,-98.228513,139,-6,\"S\",\"America/Mexico_City\"\n", + "1840,\"Los Cabos Intl\",\"San Jose Del Cabo\",\"Mexico\",\"SJD\",\"MMSD\",23.15185,-109.721044,374,-7,\"S\",\"America/Mazatlan\"\n", + "1841,\"San Felipe Intl\",\"San Filipe\",\"Mexico\",\"\",\"MMSF\",30.930222,-114.808639,148,-8,\"S\",\"America/Tijuana\"\n", + "1842,\"Ponciano Arriaga Intl\",\"San Luis Potosi\",\"Mexico\",\"SLP\",\"MMSP\",22.254303,-100.930806,6035,-6,\"S\",\"America/Mexico_City\"\n", + "1843,\"Tlaxcala\",\"Tlaxcala\",\"Mexico\",\"TXA\",\"MMTA\",19.537964,-98.173467,8229,-6,\"S\",\"America/Mexico_City\"\n", + "1844,\"General Div P A Angel H Corzo Molina\",\"Tuxtla Gutierrez\",\"Mexico\",\"\",\"MMTB\",16.739919,-93.173297,1909,-6,\"S\",\"America/Mexico_City\"\n", + "1845,\"Torreon Intl\",\"Torreon\",\"Mexico\",\"TRC\",\"MMTC\",25.568278,-103.410583,3688,-6,\"S\",\"America/Mexico_City\"\n", + "1846,\"Angel Albino Corzo\",\"Tuxtla Gutierrez\",\"Mexico\",\"TGZ\",\"MMTG\",16.561822,-93.026081,1491,-6,\"S\",\"America/Mexico_City\"\n", + "1847,\"General Abelardo L Rodriguez Intl\",\"Tijuana\",\"Mexico\",\"TIJ\",\"MMTJ\",32.541064,-116.970158,489,-8,\"S\",\"America/Tijuana\"\n", + "1848,\"General Francisco Javier Mina Intl\",\"Tampico\",\"Mexico\",\"TAM\",\"MMTM\",22.29645,-97.865931,80,-6,\"S\",\"America/Mexico_City\"\n", + "1849,\"Tamuin\",\"Tamuin\",\"Mexico\",\"TSL\",\"MMTN\",22.038292,-98.806503,164,-6,\"S\",\"America/Mexico_City\"\n", + "1850,\"Licenciado Adolfo Lopez Mateos Intl\",\"Toluca\",\"Mexico\",\"TLC\",\"MMTO\",19.337072,-99.566008,8466,-6,\"S\",\"America/Mexico_City\"\n", + "1851,\"Tapachula Intl\",\"Tapachula\",\"Mexico\",\"TAP\",\"MMTP\",14.794339,-92.370025,97,-6,\"S\",\"America/Mexico_City\"\n", + "1852,\"Cancun Intl\",\"Cancun\",\"Mexico\",\"CUN\",\"MMUN\",21.036528,-86.877083,20,-6,\"S\",\"America/Mexico_City\"\n", + "1853,\"C P A Carlos Rovirosa Intl\",\"Villahermosa\",\"Mexico\",\"VSA\",\"MMVA\",17.997,-92.817361,46,-6,\"S\",\"America/Mexico_City\"\n", + "1854,\"General Heriberto Jara Intl\",\"Vera Cruz\",\"Mexico\",\"VER\",\"MMVR\",19.145931,-96.187267,90,-6,\"S\",\"America/Mexico_City\"\n", + "1855,\"General Leobardo C Ruiz Intl\",\"Zacatecas\",\"Mexico\",\"ZCL\",\"MMZC\",22.897112,-102.68689,7141,-6,\"S\",\"America/Mexico_City\"\n", + "1856,\"Ixtapa Zihuatanejo Intl\",\"Zihuatanejo\",\"Mexico\",\"ZIH\",\"MMZH\",17.601569,-101.460536,26,-6,\"S\",\"America/Mexico_City\"\n", + "1857,\"Zamora\",\"Zamora\",\"Mexico\",\"ZMM\",\"MMZM\",20.045036,-102.275955,5141,-6,\"S\",\"America/Mexico_City\"\n", + "1858,\"Playa De Oro Intl\",\"Manzanillo\",\"Mexico\",\"ZLO\",\"MMZO\",19.144778,-104.558631,30,-6,\"S\",\"America/Mexico_City\"\n", + "1859,\"Zapopan\",\"Zapopan\",\"Mexico\",\"\",\"MMZP\",20.755833,-103.465278,5333,-6,\"S\",\"America/Mexico_City\"\n", + "1860,\"Bluefields\",\"Bluefields\",\"Nicaragua\",\"BEF\",\"MNBL\",11.990961,-83.774086,41,-6,\"U\",\"America/Managua\"\n", + "1861,\"Los Brasiles\",\"Los Brasiles\",\"Nicaragua\",\"\",\"MNBR\",12.190044,-86.353872,262,-6,\"U\",\"America/Managua\"\n", + "1862,\"Leon\",\"Leon\",\"Nicaragua\",\"\",\"MNLN\",12.428028,-86.902361,328,-6,\"U\",\"America/Managua\"\n", + "1863,\"Managua Intl\",\"Managua\",\"Nicaragua\",\"MGA\",\"MNMG\",12.141494,-86.168178,194,-6,\"U\",\"America/Managua\"\n", + "1864,\"Puerto Cabezas\",\"Puerto Cabezas\",\"Nicaragua\",\"PUZ\",\"MNPC\",14.047194,-83.386722,69,-6,\"U\",\"America/Managua\"\n", + "1865,\"Bocas Del Toro Intl\",\"Bocas Del Toro\",\"Panama\",\"BOC\",\"MPBO\",9.340853,-82.250842,10,-5,\"U\",\"America/Panama\"\n", + "1866,\"Cap Manuel Nino Intl\",\"Changuinola\",\"Panama\",\"CHX\",\"MPCH\",9.458636,-82.516806,19,-5,\"U\",\"America/Panama\"\n", + "1867,\"Enrique Malek Intl\",\"David\",\"Panama\",\"DAV\",\"MPDA\",8.391003,-82.434992,89,-5,\"U\",\"America/Panama\"\n", + "1868,\"Howard\",\"Howard\",\"Panama\",\"HOW\",\"MPHO\",8.914794,-79.599633,52,-5,\"U\",\"America/Panama\"\n", + "1869,\"Marcos A Gelabert Intl\",\"Panama\",\"Panama\",\"PAC\",\"MPMG\",8.973339,-79.555583,31,-5,\"U\",\"America/Panama\"\n", + "1870,\"Ruben Cantu\",\"Santiago\",\"Panama\",\"\",\"MPSA\",8.085597,-80.945253,272,-5,\"U\",\"America/Panama\"\n", + "1871,\"Tocumen Intl\",\"Panama City\",\"Panama\",\"PTY\",\"MPTO\",9.071364,-79.383453,135,-5,\"U\",\"America/Panama\"\n", + "1872,\"Buenos Aires\",\"Buenos Aires\",\"Costa Rica\",\"\",\"MRBA\",9.163606,-83.329872,1214,-6,\"U\",\"America/Costa_Rica\"\n", + "6877,\"North Las Vegas Airport\",\"Las Vegas\",\"United States\",\"VGT\",\\N,36.2106944,-115.1944444,2205,-8,\"U\",\"America/Los_Angeles\"\n", + "1874,\"Coto 47\",\"Coto 47\",\"Costa Rica\",\"OTR\",\"MRCC\",8.601556,-82.968614,26,-6,\"U\",\"America/Costa_Rica\"\n", + "1875,\"Chacarita\",\"Chacarita\",\"Costa Rica\",\"\",\"MRCH\",9.981408,-84.772736,7,-6,\"U\",\"America/Costa_Rica\"\n", + "6876,\"Brown County Airport\",\"Georgetown\",\"United States\",\"\",\"KGEO\",38.8819456,-83.8827367,958,-5,\"U\",\"America/New_York\"\n", + "1877,\"El Carmen De Siquirres\",\"El Carmen\",\"Costa Rica\",\"\",\"MREC\",10.202033,-83.472167,56,-6,\"U\",\"America/Costa_Rica\"\n", + "1878,\"Nuevo Palmar Sur\",\"Finca 10\",\"Costa Rica\",\"\",\"MRFI\",8.916347,-83.507267,49,-6,\"U\",\"America/Costa_Rica\"\n", + "1879,\"Golfito\",\"Golfito\",\"Costa Rica\",\"GLF\",\"MRGF\",8.653775,-83.180544,49,-6,\"U\",\"America/Costa_Rica\"\n", + "1880,\"Guapiles\",\"Guapiles\",\"Costa Rica\",\"\",\"MRGP\",10.217194,-83.797003,883,-6,\"U\",\"America/Costa_Rica\"\n", + "1881,\"Daniel Oduber Quiros Intl\",\"Liberia\",\"Costa Rica\",\"LIR\",\"MRLB\",10.593289,-85.544408,270,-6,\"U\",\"America/Costa_Rica\"\n", + "1882,\"Los Chiles\",\"Los Chiles\",\"Costa Rica\",\"\",\"MRLC\",11.035277,-84.706108,131,-6,\"U\",\"America/Costa_Rica\"\n", + "1883,\"Limon Intl\",\"Limon\",\"Costa Rica\",\"LIO\",\"MRLM\",9.957961,-83.022006,7,-6,\"U\",\"America/Costa_Rica\"\n", + "1884,\"Nosara\",\"Nosara Beach\",\"Costa Rica\",\"NOB\",\"MRNS\",9.97649,-85.653,33,-6,\"U\",\"America/Costa_Rica\"\n", + "1885,\"Juan Santamaria Intl\",\"San Jose\",\"Costa Rica\",\"SJO\",\"MROC\",9.993861,-84.208806,3021,-6,\"U\",\"America/Costa_Rica\"\n", + "1886,\"Pandora\",\"Pandora\",\"Costa Rica\",\"\",\"MRPD\",9.732169,-82.983214,98,-6,\"U\",\"America/Costa_Rica\"\n", + "1887,\"Palmar Sur\",\"Palmar Sur\",\"Costa Rica\",\"PMZ\",\"MRPM\",8.951025,-83.468583,49,-6,\"U\",\"America/Costa_Rica\"\n", + "1889,\"La Managua\",\"Quepos\",\"Costa Rica\",\"XQP\",\"MRQP\",9.443164,-84.129772,85,-6,\"U\",\"America/Costa_Rica\"\n", + "1890,\"Santa Clara De Guapiles\",\"Santa Clara\",\"Costa Rica\",\"\",\"MRSG\",10.288278,-83.713519,262,-6,\"U\",\"America/Costa_Rica\"\n", + "1891,\"San Vito De Java\",\"San Vito De Jaba\",\"Costa Rica\",\"\",\"MRSV\",8.826111,-82.958885,3228,-6,\"U\",\"America/Costa_Rica\"\n", + "1892,\"El Salvador Intl\",\"San Salvador\",\"El Salvador\",\"SAL\",\"MSLP\",13.440947,-89.055728,101,-6,\"U\",\"America/El_Salvador\"\n", + "1893,\"Ilopango Intl\",\"San Salvador\",\"El Salvador\",\"\",\"MSSS\",13.699492,-89.119861,2021,-6,\"U\",\"America/El_Salvador\"\n", + "1894,\"Cayes\",\"Cayes\",\"Haiti\",\"\",\"MTCA\",18.271103,-73.788289,203,-5,\"U\",\"America/Port-au-Prince\"\n", + "1895,\"Cap Haitien Intl\",\"Cap Haitien\",\"Haiti\",\"CAP\",\"MTCH\",19.732989,-72.194739,10,-5,\"U\",\"America/Port-au-Prince\"\n", + "1896,\"Jacmel\",\"Jacmel\",\"Haiti\",\"\",\"MTJA\",18.241083,-72.5185,167,-5,\"U\",\"America/Port-au-Prince\"\n", + "1897,\"Toussaint Louverture Intl\",\"Port-au-prince\",\"Haiti\",\"PAP\",\"MTPP\",18.58005,-72.292542,122,-5,\"U\",\"America/Port-au-Prince\"\n", + "1898,\"Gustavo Rizo\",\"Baracoa Playa\",\"Cuba\",\"BCA\",\"MUBA\",20.365317,-74.506206,26,-5,\"U\",\"America/Havana\"\n", + "1899,\"Carlos Manuel De Cespedes\",\"Bayamo\",\"Cuba\",\"BYM\",\"MUBY\",20.396331,-76.621494,203,-5,\"U\",\"America/Havana\"\n", + "1900,\"Maximo Gomez\",\"Ciego De Avila\",\"Cuba\",\"AVI\",\"MUCA\",22.027053,-78.789617,335,-5,\"U\",\"America/Havana\"\n", + "1901,\"Jardines Del Rey\",\"Cunagua\",\"Cuba\",\"\",\"MUCC\",22.460986,-78.328422,13,-5,\"U\",\"America/Havana\"\n", + "1902,\"Jaime Gonzalez\",\"Cienfuegos\",\"Cuba\",\"CFG\",\"MUCF\",22.15,-80.414167,102,-5,\"U\",\"America/Havana\"\n", + "1903,\"Vilo Acuna Intl\",\"Cayo Largo del Sur\",\"Cuba\",\"CYO\",\"MUCL\",21.616453,-81.545989,10,-5,\"U\",\"America/Havana\"\n", + "1904,\"Ignacio Agramonte Intl\",\"Camaguey\",\"Cuba\",\"CMW\",\"MUCM\",21.420428,-77.847433,413,-5,\"U\",\"America/Havana\"\n", + "1905,\"Antonio Maceo Intl\",\"Santiago De Cuba\",\"Cuba\",\"SCU\",\"MUCU\",19.969769,-75.835414,249,-5,\"U\",\"America/Havana\"\n", + "1906,\"Florida\",\"Florida\",\"Cuba\",\"\",\"MUFL\",21.499722,-78.202778,197,-5,\"U\",\"America/Havana\"\n", + "1907,\"Guantanamo Bay Ns\",\"Guantanamo\",\"Cuba\",\"\",\"MUGM\",19.906458,-75.207056,56,-5,\"U\",\\N\n", + "1908,\"Mariana Grajales\",\"Guantanamo\",\"Cuba\",\"GAO\",\"MUGT\",20.085419,-75.158328,56,-5,\"U\",\"America/Havana\"\n", + "1909,\"Jose Marti Intl\",\"Havana\",\"Cuba\",\"HAV\",\"MUHA\",22.989153,-82.409086,210,-5,\"U\",\"America/Havana\"\n", + "1910,\"Frank Pais Intl\",\"Holguin\",\"Cuba\",\"HOG\",\"MUHG\",20.785589,-76.315108,361,-5,\"U\",\"America/Havana\"\n", + "1911,\"La Coloma\",\"La Coloma\",\"Cuba\",\"LCL\",\"MULM\",22.336261,-83.642111,131,-5,\"U\",\"America/Havana\"\n", + "1912,\"Orestes Acosta\",\"Moa\",\"Cuba\",\"MOA\",\"MUMO\",20.654114,-74.922114,16,-5,\"U\",\"America/Havana\"\n", + "1913,\"Sierra Maestra\",\"Manzanillo\",\"Cuba\",\"MZO\",\"MUMZ\",20.288172,-77.0893,112,-5,\"U\",\"America/Havana\"\n", + "1914,\"Rafael Cabrera\",\"Nueva Gerona\",\"Cuba\",\"GER\",\"MUNG\",21.834689,-82.783819,79,-5,\"U\",\"America/Havana\"\n", + "1915,\"Playa Baracoa\",\"Baracoa Playa\",\"Cuba\",\"\",\"MUPB\",23.032778,-82.579444,102,-5,\"U\",\"America/Havana\"\n", + "1916,\"Pinar Del Rio\",\"Pinar Del Rio Norte\",\"Cuba\",\"\",\"MUPR\",22.421356,-83.678428,131,-5,\"U\",\"America/Havana\"\n", + "1917,\"San Antonio De Los Banos\",\"San Antonio De Banos\",\"Cuba\",\"\",\"MUSA\",22.871529,-82.509308,164,-5,\"U\",\"America/Havana\"\n", + "1918,\"Abel Santamaria\",\"Santa Clara\",\"Cuba\",\"SNU\",\"MUSC\",22.492192,-79.943611,338,-5,\"U\",\"America/Havana\"\n", + "1919,\"Santa Lucia\",\"Santa Lucia\",\"Cuba\",\"\",\"MUSL\",21.509453,-77.020375,13,-5,\"U\",\"America/Havana\"\n", + "1920,\"Siguanea\",\"Siguanea\",\"Cuba\",\"\",\"MUSN\",21.642525,-82.955114,39,-5,\"U\",\"America/Havana\"\n", + "1921,\"Sancti Spiritus\",\"Sancti Spiritus\",\"Cuba\",\"\",\"MUSS\",21.969969,-79.442692,295,-5,\"U\",\"America/Havana\"\n", + "6875,\"Grand Geneva Resort Airport\",\"Lake Geneva\",\"United States\",\"C02\",\\N,42.6149167,-88.3895833,835,-6,\"U\",\"America/Chicago\"\n", + "1923,\"Juan Gualberto Gomez Intl\",\"Varadero\",\"Cuba\",\"VRA\",\"MUVR\",23.034445,-81.435278,210,-5,\"U\",\"America/Havana\"\n", + "1924,\"Hermanos Ameijeiras\",\"Las Tunas\",\"Cuba\",\"VTU\",\"MUVT\",20.987642,-76.9358,328,-5,\"U\",\"America/Havana\"\n", + "1925,\"Gerrard Smith Intl\",\"Cayman Barac\",\"Cayman Islands\",\"CYB\",\"MWCB\",19.686981,-79.882789,8,-5,\"U\",\"America/Cayman\"\n", + "1926,\"Owen Roberts Intl\",\"Georgetown\",\"Cayman Islands\",\"GCM\",\"MWCR\",19.292778,-81.35775,8,-5,\"U\",\"America/Cayman\"\n", + "1927,\"Clarence A Bain\",\"Clarence Bain\",\"Bahamas\",\"\",\"MYAB\",24.287664,-77.684614,19,-5,\"U\",\"America/Nassau\"\n", + "1928,\"Fresh Creek\",\"Andros Town\",\"Bahamas\",\"ASD\",\"MYAF\",24.698283,-77.795611,5,-5,\"U\",\"America/Nassau\"\n", + "1930,\"Marsh Harbour\",\"Marsh Harbor\",\"Bahamas\",\"MHH\",\"MYAM\",26.511406,-77.083472,6,-5,\"U\",\"America/Nassau\"\n", + "1931,\"San Andros\",\"San Andros\",\"Bahamas\",\"SAQ\",\"MYAN\",25.053814,-78.048997,5,-5,\"U\",\"America/Nassau\"\n", + "1932,\"Spring Point\",\"Spring Point\",\"Bahamas\",\"AXP\",\"MYAP\",22.441828,-73.970858,11,-5,\"U\",\"America/Nassau\"\n", + "1933,\"Sandy Point\",\"Sandy Point\",\"Bahamas\",\"\",\"MYAS\",26.004639,-77.395483,8,-5,\"U\",\"America/Nassau\"\n", + "1934,\"Treasure Cay\",\"Treasure Cay\",\"Bahamas\",\"TCB\",\"MYAT\",26.745336,-77.391269,8,-5,\"U\",\"America/Nassau\"\n", + "1935,\"Chub Cay\",\"Chub Cay\",\"Bahamas\",\"CCZ\",\"MYBC\",25.417108,-77.88085,5,-5,\"U\",\"America/Nassau\"\n", + "1936,\"Great Harbour Cay\",\"Bullocks Harbour\",\"Bahamas\",\"\",\"MYBG\",25.738331,-77.840114,18,-5,\"U\",\"America/Nassau\"\n", + "1937,\"South Bimini\",\"Alice Town\",\"Bahamas\",\"BIM\",\"MYBS\",25.699881,-79.264656,10,-5,\"U\",\"America/Nassau\"\n", + "6874,\"De Kalb Taylor Municipal Airport\",\"De Kalb\",\"United States\",\"DKB\",\\N,41.9338342,-88.7056864,914,-6,\"U\",\"America/Chicago\"\n", + "1941,\"Exuma Intl\",\"Great Exuma\",\"Bahamas\",\"GGT\",\"MYEF\",23.562631,-75.877958,9,-5,\"U\",\"America/Nassau\"\n", + "1942,\"George Town\",\"George Town\",\"Bahamas\",\"\",\"MYEG\",23.466667,-75.78167,5,-5,\"U\",\"America/Nassau\"\n", + "1943,\"North Eleuthera\",\"North Eleuthera\",\"Bahamas\",\"ELH\",\"MYEH\",25.474861,-76.683489,13,-5,\"U\",\"America/Nassau\"\n", + "1944,\"Governors Harbour\",\"Governor's Harbor\",\"Bahamas\",\"GHB\",\"MYEM\",25.284706,-76.331011,26,-5,\"U\",\"America/Nassau\"\n", + "1945,\"Normans Cay\",\"Norman's Cay\",\"Bahamas\",\"\",\"MYEN\",24.594258,-76.820214,8,-5,\"U\",\"America/Nassau\"\n", + "1946,\"Rock Sound\",\"Rock Sound\",\"Bahamas\",\"RSD\",\"MYER\",24.8917,-76.177739,10,-5,\"U\",\"America/Nassau\"\n", + "1947,\"Staniel Cay\",\"Staniel Cay\",\"Bahamas\",\"\",\"MYES\",24.169083,-76.439056,5,-5,\"U\",\"America/Nassau\"\n", + "1948,\"Grand Bahama Intl\",\"Freeport\",\"Bahamas\",\"FPO\",\"MYGF\",26.558686,-78.695553,7,-5,\"U\",\"America/Nassau\"\n", + "1949,\"Matthew Town\",\"Matthew Town\",\"Bahamas\",\"IGA\",\"MYIG\",20.975,-73.666862,8,-5,\"U\",\"America/Nassau\"\n", + "1950,\"Deadmans Cay\",\"Dead Man's Cay\",\"Bahamas\",\"LGI\",\"MYLD\",23.179014,-75.093597,9,-5,\"U\",\"America/Nassau\"\n", + "1951,\"Stella Maris\",\"Stella Maris\",\"Bahamas\",\"SML\",\"MYLS\",23.581444,-75.270475,10,-5,\"U\",\"America/Nassau\"\n", + "1952,\"Mayaguana\",\"Mayaguana\",\"Bahamas\",\"MYG\",\"MYMM\",22.379528,-73.0135,11,-5,\"U\",\"America/Nassau\"\n", + "1953,\"Lynden Pindling Intl\",\"Nassau\",\"Bahamas\",\"NAS\",\"MYNN\",25.038958,-77.466231,16,-5,\"U\",\"America/Nassau\"\n", + "1954,\"Duncan Town\",\"Duncan Town\",\"Bahamas\",\"\",\"MYRD\",22.181803,-75.729456,6,-5,\"U\",\"America/Nassau\"\n", + "1955,\"New Port Nelson\",\"Port Nelson\",\"Bahamas\",\"\",\"MYRP\",23.684378,-74.836186,15,-5,\"U\",\"America/Nassau\"\n", + "1956,\"San Salvador\",\"Cockburn Town\",\"Bahamas\",\"ZSA\",\"MYSM\",24.063275,-74.523967,24,-5,\"U\",\"America/Nassau\"\n", + "1957,\"Philip S W Goldson Intl\",\"Belize City\",\"Belize\",\"BZE\",\"MZBZ\",17.539144,-88.308203,15,-6,\"U\",\"America/Belize\"\n", + "1958,\"Aitutaki\",\"Aitutaki\",\"Cook Islands\",\"AIT\",\"NCAI\",-18.830922,-159.764233,14,-10,\"U\",\"Pacific/Rarotonga\"\n", + "1959,\"Rarotonga Intl\",\"Avarua\",\"Cook Islands\",\"RAR\",\"NCRG\",-21.202739,-159.805556,19,-10,\"U\",\"Pacific/Rarotonga\"\n", + "1960,\"Nadi Intl\",\"Nandi\",\"Fiji\",\"NAN\",\"NFFN\",-17.755392,177.443378,59,12,\"U\",\"Pacific/Fiji\"\n", + "1961,\"Nausori Intl\",\"Nausori\",\"Fiji\",\"SUV\",\"NFNA\",-18.043267,178.559228,17,12,\"U\",\"Pacific/Fiji\"\n", + "1963,\"Fua Amotu Intl\",\"Tongatapu\",\"Tonga\",\"TBU\",\"NFTF\",-21.241214,-175.149644,126,13,\"U\",\"Pacific/Tongatapu\"\n", + "1964,\"Vavau Intl\",\"Vava'u\",\"Tonga\",\"VAV\",\"NFTV\",-18.585336,-173.961717,236,13,\"U\",\"Pacific/Tongatapu\"\n", + "1965,\"Bonriki Intl\",\"Tarawa\",\"Kiribati\",\"TRW\",\"NGTA\",1.381636,173.147036,9,12,\"U\",\"Pacific/Tarawa\"\n", + "1966,\"Tabiteuea North\",\"Tabiteuea North\",\"Kiribati\",\"TBF\",\"NGTE\",-1.224469,174.775614,7,12,\"U\",\\N\n", + "6809,\"Maitland Airport\",\"Maitland\",\"Australia\",\"MTL\",\"YMND\",-32.7033,151.488,75,10,\"O\",\"Australia/Sydney\"\n", + "1968,\"Wallis\",\"Wallis\",\"Wallis and Futuna\",\"WLS\",\"NLWW\",-13.238281,-176.199228,79,12,\"U\",\"Pacific/Wallis\"\n", + "1969,\"Faleolo Intl\",\"Faleolo\",\"Samoa\",\"APW\",\"NSFA\",-13.829969,-172.008336,58,13,\"U\",\"Pacific/Apia\"\n", + "1970,\"Pago Pago Intl\",\"Pago Pago\",\"American Samoa\",\"PPG\",\"NSTU\",-14.331,-170.7105,32,-11,\"U\",\"Pacific/Pago_Pago\"\n", + "1971,\"Rurutu\",\"Rurutu\",\"French Polynesia\",\"RUR\",\"NTAR\",-22.434069,-151.360614,18,-10,\"U\",\\N\n", + "1972,\"Tubuai\",\"Tubuai\",\"French Polynesia\",\"TUB\",\"NTAT\",-23.365353,-149.524072,7,-10,\"U\",\"Pacific/Tahiti\"\n", + "1973,\"Anaa\",\"Anaa\",\"French Polynesia\",\"AAA\",\"NTGA\",-17.352606,-145.509956,10,-10,\"U\",\"Pacific/Tahiti\"\n", + "1974,\"Fangatau\",\"Fangatau\",\"French Polynesia\",\"\",\"NTGB\",-15.819928,-140.88715,9,-10,\"U\",\"Pacific/Tahiti\"\n", + "1975,\"Tikehau\",\"Tikehau\",\"French Polynesia\",\"TIH\",\"NTGC\",-15.119617,-148.230697,6,-10,\"U\",\"Pacific/Tahiti\"\n", + "1976,\"Reao\",\"Reao\",\"French Polynesia\",\"REA\",\"NTGE\",-18.465861,-136.439706,12,-10,\"U\",\\N\n", + "1977,\"Fakarava\",\"Fakarava\",\"French Polynesia\",\"FAV\",\"NTGF\",-16.05415,-145.656994,13,-10,\"U\",\"Pacific/Tahiti\"\n", + "1978,\"Manihi\",\"Manihi\",\"French Polynesia\",\"XMH\",\"NTGI\",-14.436764,-146.070056,14,-10,\"U\",\"Pacific/Tahiti\"\n", + "1979,\"Totegegie\",\"Totegegie\",\"French Polynesia\",\"GMR\",\"NTGJ\",-23.079861,-134.890333,7,-9,\"U\",\"Pacific/Gambier\"\n", + "1980,\"Kaukura\",\"Kaukura Atoll\",\"French Polynesia\",\"KKR\",\"NTGK\",-15.663333,-146.884769,11,-10,\"U\",\"Pacific/Tahiti\"\n", + "1981,\"Makemo\",\"Makemo\",\"French Polynesia\",\"MKP\",\"NTGM\",-16.583919,-143.658369,3,-10,\"U\",\"Pacific/Tahiti\"\n", + "1982,\"Puka Puka\",\"Puka Puka\",\"French Polynesia\",\"PKP\",\"NTGP\",-14.809458,-138.812811,5,-10,\"U\",\"Pacific/Tahiti\"\n", + "1983,\"Takapoto\",\"Takapoto\",\"French Polynesia\",\"TKP\",\"NTGT\",-14.709544,-145.245814,12,-10,\"U\",\"Pacific/Tahiti\"\n", + "1984,\"Arutua\",\"Arutua\",\"French Polynesia\",\"AXR\",\"NTGU\",-15.248289,-146.616708,9,-10,\"U\",\"Pacific/Tahiti\"\n", + "1985,\"Mataiva\",\"Mataiva\",\"French Polynesia\",\"MVT\",\"NTGV\",-14.868055,-148.717225,11,-10,\"U\",\"Pacific/Tahiti\"\n", + "1986,\"Takaroa\",\"Takaroa\",\"French Polynesia\",\"TKX\",\"NTKR\",-14.455781,-145.024542,13,-10,\"U\",\"Pacific/Tahiti\"\n", + "1987,\"Nuku Hiva\",\"Nuku Hiva\",\"French Polynesia\",\"NHV\",\"NTMD\",-8.795603,-140.228789,220,-9.5,\"U\",\"Pacific/Marquesas\"\n", + "6873,\"Purude University Airport\",\"Lafayette\",\"United States\",\"LAF\",\\N,40.4123056,-86.9368889,606,-5,\"A\",\"America/New_York\"\n", + "1989,\"Bora Bora\",\"Bora Bora\",\"French Polynesia\",\"BOB\",\"NTTB\",-16.444378,-151.751286,10,-10,\"U\",\"Pacific/Tahiti\"\n", + "1990,\"Rangiroa\",\"Rangiroa\",\"French Polynesia\",\"RGI\",\"NTTG\",-14.954283,-147.6608,10,-10,\"U\",\"Pacific/Tahiti\"\n", + "1991,\"Huahine\",\"Huahine Island\",\"French Polynesia\",\"HUH\",\"NTTH\",-16.687242,-151.021667,7,-10,\"U\",\"Pacific/Tahiti\"\n", + "1992,\"Moorea\",\"Moorea\",\"French Polynesia\",\"MOZ\",\"NTTM\",-17.489972,-149.761869,9,-10,\"U\",\"Pacific/Tahiti\"\n", + "1993,\"Hao\",\"Hao Island\",\"French Polynesia\",\"HOI\",\"NTTO\",-18.074814,-140.945886,10,-10,\"U\",\\N\n", + "1994,\"Maupiti\",\"Maupiti\",\"French Polynesia\",\"MAU\",\"NTTP\",-16.426486,-152.243669,15,-10,\"U\",\"Pacific/Tahiti\"\n", + "1995,\"Raiatea\",\"Raiatea Island\",\"French Polynesia\",\"RFP\",\"NTTR\",-16.722861,-151.465856,3,-10,\"U\",\"Pacific/Tahiti\"\n", + "1997,\"Port Vila Bauerfield\",\"Port-vila\",\"Vanuatu\",\"VLI\",\"NVVV\",-17.699325,168.319794,70,11,\"U\",\"Pacific/Efate\"\n", + "1998,\"Kone\",\"Kone\",\"New Caledonia\",\"KNQ\",\"NWWD\",-21.053428,164.837806,23,11,\"U\",\"Pacific/Noumea\"\n", + "1999,\"Koumac\",\"Koumac\",\"New Caledonia\",\"KOC\",\"NWWK\",-20.546314,164.255625,42,11,\"U\",\"Pacific/Noumea\"\n", + "2000,\"Lifou\",\"Lifou\",\"New Caledonia\",\"LIF\",\"NWWL\",-20.7748,167.239864,92,11,\"U\",\"Pacific/Noumea\"\n", + "2001,\"Magenta\",\"Noumea\",\"New Caledonia\",\"GEA\",\"NWWM\",-22.258278,166.472806,10,11,\"U\",\"Pacific/Noumea\"\n", + "2002,\"Mare\",\"Mare\",\"New Caledonia\",\"MEE\",\"NWWR\",-21.481678,168.037508,141,11,\"U\",\"Pacific/Noumea\"\n", + "2003,\"Touho\",\"Touho\",\"New Caledonia\",\"TOU\",\"NWWU\",-20.790028,165.259486,10,11,\"U\",\"Pacific/Noumea\"\n", + "2004,\"Ouvea\",\"Ouvea\",\"New Caledonia\",\"UVE\",\"NWWV\",-20.640556,166.572778,23,11,\"U\",\"Pacific/Noumea\"\n", + "2005,\"La Tontouta\",\"Noumea\",\"New Caledonia\",\"NOU\",\"NWWW\",-22.014553,166.212972,52,11,\"U\",\"Pacific/Noumea\"\n", + "2006,\"Auckland Intl\",\"Auckland\",\"New Zealand\",\"AKL\",\"NZAA\",-37.008056,174.791667,23,12,\"Z\",\"Pacific/Auckland\"\n", + "2007,\"Taupo\",\"Taupo\",\"New Zealand\",\"TUO\",\"NZAP\",-38.739723,176.084444,1335,12,\"Z\",\"Pacific/Auckland\"\n", + "2008,\"Ardmore\",\"Ardmore\",\"New Zealand\",\"AMZ\",\"NZAR\",-37.029722,174.973333,111,12,\"Z\",\"Pacific/Auckland\"\n", + "2009,\"Christchurch Intl\",\"Christchurch\",\"New Zealand\",\"CHC\",\"NZCH\",-43.489358,172.532225,123,12,\"Z\",\"Pacific/Auckland\"\n", + "2010,\"Chatham Islands\",\"Chatham Island\",\"New Zealand\",\"CHT\",\"NZCI\",-43.81,-176.457222,43,12.75,\"Z\",\"Pacific/Chatham\"\n", + "2011,\"Dunedin\",\"Dunedin\",\"New Zealand\",\"DUD\",\"NZDN\",-45.928055,170.198333,4,12,\"Z\",\"Pacific/Auckland\"\n", + "2012,\"Gisborne\",\"Gisborne\",\"New Zealand\",\"GIS\",\"NZGS\",-38.663333,177.978333,15,12,\"Z\",\"Pacific/Auckland\"\n", + "2013,\"Glentanner\",\"Glentanner\",\"New Zealand\",\"MON\",\"NZGT\",-43.906666,170.128333,1824,12,\"Z\",\"Pacific/Auckland\"\n", + "2014,\"Hokitika\",\"Hokitika\",\"New Zealand\",\"HKK\",\"NZHK\",-42.713611,170.985278,146,12,\"Z\",\"Pacific/Auckland\"\n", + "2015,\"Hamilton\",\"Hamilton\",\"New Zealand\",\"HLZ\",\"NZHN\",-37.866661,175.332056,172,12,\"Z\",\"Pacific/Auckland\"\n", + "2016,\"Hastings\",\"Hastings\",\"New Zealand\",\"\",\"NZHS\",-39.646667,176.766944,72,12,\"Z\",\"Pacific/Auckland\"\n", + "2017,\"Kerikeri\",\"Kerikeri\",\"New Zealand\",\"KKE\",\"NZKK\",-35.262779,173.911944,492,12,\"Z\",\"Pacific/Auckland\"\n", + "2018,\"Kaitaia\",\"Kaitaia\",\"New Zealand\",\"KAT\",\"NZKT\",-35.07,173.285278,270,12,\"Z\",\"Pacific/Auckland\"\n", + "2019,\"Alexandra\",\"Alexandra\",\"New Zealand\",\"ALR\",\"NZLX\",-45.211666,169.373333,752,12,\"Z\",\"Pacific/Auckland\"\n", + "2020,\"Mount Cook\",\"Mount Cook\",\"New Zealand\",\"GTN\",\"NZMC\",-43.764999,170.133333,2153,12,\"Z\",\"Pacific/Auckland\"\n", + "2021,\"Manapouri\",\"Manapouri\",\"New Zealand\",\"TEU\",\"NZMO\",-45.533056,167.65,687,12,\"Z\",\"Pacific/Auckland\"\n", + "2022,\"Masterton\",\"Masterton\",\"New Zealand\",\"MRO\",\"NZMS\",-40.973333,175.633611,364,12,\"Z\",\"Pacific/Auckland\"\n", + "2023,\"New Plymouth\",\"New Plymouth\",\"New Zealand\",\"NPL\",\"NZNP\",-39.008611,174.179167,97,12,\"Z\",\"Pacific/Auckland\"\n", + "2024,\"Nelson\",\"Nelson\",\"New Zealand\",\"NSN\",\"NZNS\",-41.298333,173.221111,17,12,\"Z\",\"Pacific/Auckland\"\n", + "2025,\"Invercargill\",\"Invercargill\",\"New Zealand\",\"IVC\",\"NZNV\",-46.412408,168.312992,5,12,\"Z\",\"Pacific/Auckland\"\n", + "2026,\"Ohakea\",\"Ohakea\",\"New Zealand\",\"\",\"NZOH\",-40.206039,175.387808,164,12,\"Z\",\"Pacific/Auckland\"\n", + "2027,\"Oamaru\",\"Oamaru\",\"New Zealand\",\"OAM\",\"NZOU\",-44.97,171.081667,99,12,\"Z\",\"Pacific/Auckland\"\n", + "2028,\"Palmerston North\",\"Palmerston North\",\"New Zealand\",\"PMR\",\"NZPM\",-40.320556,175.616944,151,12,\"Z\",\"Pacific/Auckland\"\n", + "2029,\"Paraparaumu\",\"Paraparaumu\",\"New Zealand\",\"PPQ\",\"NZPP\",-40.904722,174.989167,22,12,\"Z\",\"Pacific/Auckland\"\n", + "2030,\"Queenstown\",\"Queenstown International\",\"New Zealand\",\"ZQN\",\"NZQN\",-45.021111,168.739167,1171,12,\"Z\",\"Pacific/Auckland\"\n", + "2031,\"Rotorua\",\"Rotorua\",\"New Zealand\",\"ROT\",\"NZRO\",-38.109167,176.317222,935,12,\"Z\",\"Pacific/Auckland\"\n", + "2032,\"Waiouru\",\"Waiouru\",\"New Zealand\",\"\",\"NZRU\",-39.446389,175.658333,2686,12,\"Z\",\"Pacific/Auckland\"\n", + "2033,\"South Pole Station\",\"Stephen's Island\",\"Antarctica\",\"\",\"NZSP\",-89.999997,0,9300,12,\"U\",\"Antarctica/South_Pole\"\n", + "2034,\"Tauranga\",\"Tauranga\",\"New Zealand\",\"TRG\",\"NZTG\",-37.671944,176.19611,13,12,\"Z\",\"Pacific/Auckland\"\n", + "2035,\"Timaru\",\"Timaru\",\"New Zealand\",\"TIU\",\"NZTU\",-44.302778,171.225278,89,12,\"Z\",\"Pacific/Auckland\"\n", + "2036,\"Pukaki\",\"Pukaki\",\"New Zealand\",\"\",\"NZUK\",-44.235,170.118333,1575,12,\"Z\",\"Pacific/Auckland\"\n", + "2037,\"Woodbourne\",\"Woodbourne\",\"New Zealand\",\"BHE\",\"NZWB\",-41.518333,173.870278,109,12,\"Z\",\"Pacific/Auckland\"\n", + "2038,\"Mcmurdo Station\",\"Weydon\",\"Antarctica\",\"\",\"NZWD\",-77.867358,167.056572,68,12,\"N\",\"Antarctica/South_Pole\"\n", + "2039,\"Wanaka\",\"Wanaka\",\"New Zealand\",\"WKA\",\"NZWF\",-44.722222,169.245556,1142,12,\"Z\",\"Pacific/Auckland\"\n", + "2040,\"Wigram\",\"Wigram\",\"New Zealand\",\"\",\"NZWG\",-43.551111,172.552778,74,12,\"Z\",\"Pacific/Auckland\"\n", + "2041,\"Whakatane\",\"Whakatane\",\"New Zealand\",\"WHK\",\"NZWK\",-37.920556,176.914167,20,12,\"Z\",\"Pacific/Auckland\"\n", + "2042,\"Wellington Intl\",\"Wellington\",\"New Zealand\",\"WLG\",\"NZWN\",-41.327221,174.805278,41,12,\"Z\",\"Pacific/Auckland\"\n", + "2043,\"Wairoa\",\"Wairoa\",\"New Zealand\",\"\",\"NZWO\",-39.006944,177.406667,42,12,\"Z\",\"Pacific/Auckland\"\n", + "2044,\"Whenuapai\",\"Whenuapai\",\"New Zealand\",\"\",\"NZWP\",-36.787777,174.630278,100,12,\"Z\",\"Pacific/Auckland\"\n", + "2045,\"Whangarei\",\"Whangarei\",\"New Zealand\",\"WRE\",\"NZWR\",-35.768333,174.365,133,12,\"Z\",\"Pacific/Auckland\"\n", + "2046,\"Westport\",\"Westport\",\"New Zealand\",\"WSZ\",\"NZWS\",-41.738056,171.580833,13,12,\"Z\",\"Pacific/Auckland\"\n", + "2047,\"Wanganui\",\"Wanganui\",\"New Zealand\",\"WAG\",\"NZWU\",-39.962222,175.025278,27,12,\"Z\",\"Pacific/Auckland\"\n", + "2048,\"Herat\",\"Herat\",\"Afghanistan\",\"HEA\",\"OAHR\",34.210017,62.2283,3206,4.5,\"U\",\"Asia/Kabul\"\n", + "2049,\"Jalalabad\",\"Jalalabad\",\"Afghanistan\",\"JAA\",\"OAJL\",34.399842,70.498625,1814,4.5,\"U\",\"Asia/Kabul\"\n", + "2050,\"Kabul Intl\",\"Kabul\",\"Afghanistan\",\"KBL\",\"OAKB\",34.565853,69.212328,5877,4.5,\"U\",\"Asia/Kabul\"\n", + "2051,\"Kandahar\",\"Kandahar\",\"Afghanistan\",\"KDH\",\"OAKN\",31.505756,65.847822,3337,4.5,\"U\",\"Asia/Kabul\"\n", + "2052,\"Maimana\",\"Maimama\",\"Afghanistan\",\"MMZ\",\"OAMN\",35.930789,64.760917,2743,4.5,\"U\",\"Asia/Kabul\"\n", + "2053,\"Mazar I Sharif\",\"Mazar-i-sharif\",\"Afghanistan\",\"MZR\",\"OAMS\",36.706914,67.209678,1284,4.5,\"U\",\"Asia/Kabul\"\n", + 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"2078,\"Pump Station 6\",\"Petroline 6\",\"Saudi Arabia\",\"\",\"OEPF\",24.710333,44.964527,2530,3,\"U\",\"Asia/Riyadh\"\n", + "2079,\"Pump Station 10\",\"Petroline 10\",\"Saudi Arabia\",\"\",\"OEPJ\",24.107339,41.036047,2840,3,\"U\",\"Asia/Riyadh\"\n", + "2080,\"Rabigh\",\"Rabigh\",\"Saudi Arabia\",\"\",\"OERB\",22.702608,39.069842,22,3,\"U\",\"Asia/Riyadh\"\n", + "2081,\"Rafha\",\"Rafha\",\"Saudi Arabia\",\"RAH\",\"OERF\",29.626419,43.490614,1474,3,\"U\",\"Asia/Riyadh\"\n", + "2082,\"King Khaled Intl\",\"Riyadh\",\"Saudi Arabia\",\"RUH\",\"OERK\",24.95764,46.698776,2049,3,\"U\",\"Asia/Riyadh\"\n", + "2083,\"Ras Mishab\",\"Rash Mishab\",\"Saudi Arabia\",\"\",\"OERM\",28.079584,48.610973,13,3,\"U\",\"Asia/Riyadh\"\n", + "2084,\"Arar\",\"Arar\",\"Saudi Arabia\",\"RAE\",\"OERR\",30.906589,41.138217,1813,3,\"U\",\"Asia/Riyadh\"\n", + "2085,\"Ras Tanura\",\"Ras Tanura\",\"Saudi Arabia\",\"\",\"OERT\",26.723108,50.030814,6,3,\"U\",\"Asia/Riyadh\"\n", + "2086,\"Sharurah\",\"Sharurah\",\"Saudi Arabia\",\"SHW\",\"OESH\",17.466875,47.121431,2363,3,\"U\",\"Asia/Riyadh\"\n", + "6808,\"Mudgee Airport\",\"Mudgee\",\"Australia\",\"DGE\",\"YMDG\",-32.5625,149.611,1545,10,\"O\",\"Australia/Sydney\"\n", + "2088,\"Sulayel\",\"Sulayel\",\"Saudi Arabia\",\"SLF\",\"OESL\",20.464744,45.619644,2021,3,\"U\",\"Asia/Riyadh\"\n", + "2089,\"Tabuk\",\"Tabuk\",\"Saudi Arabia\",\"TUU\",\"OETB\",28.365417,36.618889,2551,3,\"U\",\"Asia/Riyadh\"\n", + "2090,\"Taif\",\"Taif\",\"Saudi Arabia\",\"TIF\",\"OETF\",21.483418,40.544334,4848,3,\"U\",\"Asia/Riyadh\"\n", + "2091,\"Thumamah\",\"Thumamah\",\"Saudi Arabia\",\"\",\"OETH\",25.212986,46.640978,1870,3,\"U\",\"Asia/Riyadh\"\n", + "2092,\"Ras Tanajib\",\"Ras Tanajib\",\"Saudi Arabia\",\"\",\"OETN\",27.867844,48.76915,30,3,\"U\",\"Asia/Riyadh\"\n", + "2093,\"Turaif\",\"Turaif\",\"Saudi Arabia\",\"TUI\",\"OETR\",31.692683,38.7312,2803,3,\"U\",\"Asia/Riyadh\"\n", + "6872,\"Miami University Airport\",\"Oxford\",\"United States\",\"OXD\",\\N,39.5022607,-84.7843814,1040,-5,\"U\",\"America/New_York\"\n", + "2095,\"Wejh\",\"Wejh\",\"Saudi Arabia\",\"EJH\",\"OEWJ\",26.198553,36.476381,66,3,\"U\",\"Asia/Riyadh\"\n", + "2096,\"Yenbo\",\"Yenbo\",\"Saudi Arabia\",\"YNB\",\"OEYN\",24.144244,38.06335,26,3,\"U\",\"Asia/Riyadh\"\n", + "2097,\"Abadan\",\"Abadan\",\"Iran\",\"ABD\",\"OIAA\",30.371111,48.228333,19,3.5,\"E\",\"Asia/Tehran\"\n", + "2098,\"Dezful\",\"Dezful\",\"Iran\",\"\",\"OIAD\",32.434444,48.39764,474,3.5,\"E\",\"Asia/Tehran\"\n", + "2099,\"Aghajari\",\"Aghajari\",\"Iran\",\"\",\"OIAG\",30.74445,49.677183,88,3.5,\"E\",\"Asia/Tehran\"\n", + "2100,\"Gachsaran\",\"Gachsaran\",\"Iran\",\"\",\"OIAH\",30.337567,50.827964,2414,3.5,\"E\",\"Asia/Tehran\"\n", + "2101,\"Shahid Asyaee\",\"Masjed Soleiman\",\"Iran\",\"QMJ\",\"OIAI\",32.002372,49.270364,1206,3.5,\"E\",\"Asia/Tehran\"\n", + "2102,\"Omidiyeh\",\"Omidyeh\",\"Iran\",\"\",\"OIAJ\",30.835167,49.534916,85,3.5,\"E\",\"Asia/Tehran\"\n", + "2103,\"Mahshahr\",\"Bandar Mahshahr\",\"Iran\",\"MRX\",\"OIAM\",30.556192,49.151879,8,3.5,\"E\",\"Asia/Tehran\"\n", + "2104,\"Ahwaz\",\"Ahwaz\",\"Iran\",\"AWZ\",\"OIAW\",31.337431,48.76195,66,3.5,\"E\",\"Asia/Tehran\"\n", + "2105,\"Abumusa Island\",\"Abumusa I.\",\"Iran\",\"\",\"OIBA\",25.875742,55.032994,23,3.5,\"E\",\"Asia/Tehran\"\n", + "2106,\"Bushehr\",\"Bushehr\",\"Iran\",\"BUZ\",\"OIBB\",28.944811,50.834637,68,3.5,\"E\",\"Asia/Tehran\"\n", + "2107,\"Bastak\",\"Bastak\",\"Iran\",\"\",\"OIBH\",27.212678,54.318592,1350,3.5,\"E\",\"Asia/Tehran\"\n", + "2108,\"Asaloyeh\",\"Golbandi\",\"Iran\",\"\",\"OIBI\",27.481425,52.615483,15,3.5,\"E\",\"Asia/Tehran\"\n", + "2109,\"Kish Island\",\"Kish Island\",\"Iran\",\"KIH\",\"OIBK\",26.526156,53.980211,101,3.5,\"E\",\"Asia/Tehran\"\n", + "2110,\"Bandar Lengeh\",\"Bandar Lengeh\",\"Iran\",\"BDH\",\"OIBL\",26.532,54.824847,67,3.5,\"E\",\"Asia/Tehran\"\n", + "2111,\"Khark Island\",\"Khark Island\",\"Iran\",\"\",\"OIBQ\",29.260278,50.323889,17,3.5,\"E\",\"Asia/Tehran\"\n", + "2112,\"Sirri Island\",\"Siri Island\",\"Iran\",\"\",\"OIBS\",25.908869,54.5394,43,3.5,\"E\",\"Asia/Tehran\"\n", + "2113,\"Lavan Island\",\"Lavan Island\",\"Iran\",\"\",\"OIBV\",26.8103,53.356289,76,3.5,\"E\",\"Asia/Tehran\"\n", + "2114,\"Shahid Ashrafi Esfahani\",\"Bakhtaran\",\"Iran\",\"KSH\",\"OICC\",34.345853,47.158128,4301,3.5,\"E\",\"Asia/Tehran\"\n", + "2117,\"Sanandaj\",\"Sanandaj\",\"Iran\",\"SDG\",\"OICS\",35.245856,47.009247,4522,3.5,\"E\",\"Asia/Tehran\"\n", + "2118,\"Hesa\",\"Daran\",\"Iran\",\"\",\"OIFE\",32.928889,51.561111,5256,3.5,\"E\",\"Asia/Tehran\"\n", + "2119,\"Shahid Vatan Pour Air Base\",\"Esfahan\",\"Iran\",\"\",\"OIFH\",32.567039,51.691594,5310,3.5,\"E\",\"Asia/Tehran\"\n", + "2120,\"Kashan\",\"Kashan\",\"Iran\",\"\",\"OIFK\",33.895333,51.577044,3465,3.5,\"E\",\"Asia/Tehran\"\n", + "2121,\"Esfahan Shahid Beheshti Intl\",\"Esfahan\",\"Iran\",\"\",\"OIFM\",32.750836,51.861267,5059,3.5,\"E\",\"Asia/Tehran\"\n", + "2122,\"Badr Air Base\",\"Sepah\",\"Iran\",\"\",\"OIFP\",32.621108,51.697017,5242,3.5,\"E\",\"Asia/Tehran\"\n", + "2123,\"Rasht\",\"Rasht\",\"Iran\",\"RAS\",\"OIGG\",37.325314,49.605817,-40,3.5,\"E\",\"Asia/Tehran\"\n", + "6871,\"Delaware County Airport\",\"Muncie\",\"United States\",\"MIE\",\\N,40.2424722,-85.39575,937,-5,\"U\",\"America/New_York\"\n", + "2125,\"Arak\",\"Arak\",\"Iran\",\"\",\"OIHR\",34.138147,49.847292,5440,3.5,\"E\",\"Asia/Tehran\"\n", + "2126,\"Ghazvin Azadi\",\"Abe-ali\",\"Iran\",\"\",\"OIIA\",35.952097,50.450778,3769,3.5,\"E\",\"Asia/Tehran\"\n", + "2127,\"Kushke Nosrat\",\"Kushke Nosrat\",\"Iran\",\"\",\"OIIC\",34.98395,50.806219,3008,3.5,\"E\",\"Asia/Tehran\"\n", + "2128,\"Doshan Tappeh\",\"Teheran\",\"Iran\",\"\",\"OIID\",35.702983,51.475131,4046,3.5,\"E\",\"Asia/Tehran\"\n", + "2129,\"Imam Khomeini Intl\",\"Abyek\",\"Iran\",\"\",\"OIIE\",35.416111,51.152222,3305,3.5,\"E\",\"Asia/Tehran\"\n", + "2130,\"Ghale Morghi\",\"Teheran\",\"Iran\",\"\",\"OIIG\",35.644806,51.380695,3627,3.5,\"E\",\"Asia/Tehran\"\n", + "2131,\"Mehrabad Intl\",\"Teheran\",\"Iran\",\"THR\",\"OIII\",35.689167,51.313416,3962,3.5,\"E\",\"Asia/Tehran\"\n", + "2132,\"Ghazvin\",\"Ghazvin\",\"Iran\",\"\",\"OIIK\",36.240061,50.047153,4184,3.5,\"E\",\"Asia/Tehran\"\n", + "2133,\"Naja\",\"Khoram Dareh\",\"Iran\",\"\",\"OIIM\",35.776286,50.881014,4040,3.5,\"E\",\"Asia/Tehran\"\n", + "2134,\"Bandar Abbass Intl\",\"Bandar Abbas\",\"Iran\",\"BND\",\"OIKB\",27.218317,56.37785,22,3.5,\"E\",\"Asia/Tehran\"\n", + "2135,\"Jiroft\",\"Jiroft\",\"Iran\",\"\",\"OIKJ\",28.726925,57.670269,2663,3.5,\"E\",\"Asia/Tehran\"\n", + "2136,\"Kerman\",\"Kerman\",\"Iran\",\"KER\",\"OIKK\",30.274444,56.951111,5741,3.5,\"E\",\"Asia/Tehran\"\n", + "2138,\"Havadarya\",\"Bandar Abbas\",\"Iran\",\"\",\"OIKP\",27.158251,56.172461,19,3.5,\"E\",\"Asia/Tehran\"\n", + "2139,\"Dayrestan\",\"Gheshm I.\",\"Iran\",\"\",\"OIKQ\",26.754639,55.902353,45,3.5,\"E\",\"Asia/Tehran\"\n", + "2141,\"Sirjan\",\"Sirjan\",\"Iran\",\"\",\"OIKY\",29.550933,55.672708,5846,3.5,\"E\",\"Asia/Tehran\"\n", + "2142,\"Birjand\",\"Birjand\",\"Iran\",\"XBJ\",\"OIMB\",32.898056,59.266111,4952,3.5,\"E\",\"Asia/Tehran\"\n", + "2143,\"Sarakhs\",\"Sarakhs\",\"Iran\",\"\",\"OIMC\",36.501178,61.064903,945,3.5,\"E\",\"Asia/Tehran\"\n", + "2144,\"Shahroud\",\"Emam Shahr\",\"Iran\",\"\",\"OIMJ\",36.425094,55.104833,4197,3.5,\"E\",\"Asia/Tehran\"\n", + "6870,\"Whitsunday Airstrip\",\"Airlie Beach\",\"Australia\",\"WSY\",\"YWHI\",-20.276,148.755,60,10,\"O\",\"Australia/Brisbane\"\n", + "2147,\"Tabas\",\"Tabas\",\"Iran\",\"\",\"OIMT\",33.66775,56.892675,2312,3.5,\"E\",\"Asia/Tehran\"\n", + "2148,\"Kalaleh\",\"Kalaleh\",\"Iran\",\"\",\"OINE\",37.383272,55.452008,425,3.5,\"E\",\"Asia/Tehran\"\n", + "2151,\"Ramsar\",\"Ramsar\",\"Iran\",\"RZR\",\"OINR\",36.909908,50.679589,-70,3.5,\"E\",\"Asia/Tehran\"\n", + "6869,\"Aeropuerto de Rafaela\",\"Rafaela\",\"Argentina\",\"RAF\",\\N,-31.282072,-61.501594,100,-3,\"N\",\"America/Cordoba\"\n", + "2153,\"Fasa\",\"Fasa\",\"Iran\",\"\",\"OISF\",28.891756,53.723339,4261,3.5,\"E\",\"Asia/Tehran\"\n", + "2154,\"Jahrom\",\"Jahrom\",\"Iran\",\"\",\"OISJ\",28.586675,53.579144,3358,3.5,\"E\",\"Asia/Tehran\"\n", + "2156,\"Lamerd\",\"Lamerd\",\"Iran\",\"\",\"OISR\",27.372744,53.188794,1337,3.5,\"E\",\"Asia/Tehran\"\n", + "2157,\"Shiraz Shahid Dastghaib Intl\",\"Shiraz\",\"Iran\",\"SYZ\",\"OISS\",29.539242,52.589786,4920,3.5,\"E\",\"Asia/Tehran\"\n", + "2158,\"Khoy\",\"Khoy\",\"Iran\",\"\",\"OITK\",38.427453,44.973575,3981,3.5,\"E\",\"Asia/Tehran\"\n", + "6868,\"Sabadell Airport\",\"Sabadell\",\"Spain\",\"QSA\",\"LELL\",41.5209,2.10508,0,1,\"E\",\"Europe/Madrid\"\n", + "2162,\"Tabriz Intl\",\"Tabriz\",\"Iran\",\"TBZ\",\"OITT\",38.133889,46.235,4459,3.5,\"E\",\"Asia/Tehran\"\n", + "2163,\"Zanjan\",\"Zanjan\",\"Iran\",\"\",\"OITZ\",36.77365,48.359422,5382,3.5,\"E\",\"Asia/Tehran\"\n", + "2164,\"Yazd Shahid Sadooghi\",\"Yazd\",\"Iran\",\"AZD\",\"OIYY\",31.904908,54.276503,4054,3.5,\"E\",\"Asia/Tehran\"\n", + "2165,\"Zabol\",\"Zabol\",\"Iran\",\"\",\"OIZB\",31.098333,61.543889,1628,3.5,\"E\",\"Asia/Tehran\"\n", + "2166,\"Chah Bahar\",\"Chah Bahar\",\"Iran\",\"ZBR\",\"OIZC\",25.44335,60.382114,43,3.5,\"E\",\"Asia/Tehran\"\n", + "2167,\"Zahedan Intl\",\"Zahedan\",\"Iran\",\"ZAH\",\"OIZH\",29.475686,60.906189,4564,3.5,\"E\",\"Asia/Tehran\"\n", + "2168,\"Iran Shahr\",\"Iran Shahr\",\"Iran\",\"\",\"OIZI\",27.236117,60.720039,2040,3.5,\"E\",\"Asia/Tehran\"\n", + "2169,\"Saravan\",\"Saravan\",\"Iran\",\"\",\"OIZS\",27.419261,62.315789,3930,3.5,\"E\",\"Asia/Tehran\"\n", + "2170,\"Queen Alia Intl\",\"Amman\",\"Jordan\",\"AMM\",\"OJAI\",31.722556,35.993214,2395,2,\"E\",\"Asia/Amman\"\n", + "2171,\"Marka Intl\",\"Amman\",\"Jordan\",\"ADJ\",\"OJAM\",31.972703,35.991569,2555,2,\"E\",\"Asia/Amman\"\n", + "2172,\"Aqaba King Hussein Intl\",\"Aqaba\",\"Jordan\",\"AQJ\",\"OJAQ\",29.611619,35.018067,175,2,\"E\",\"Asia/Amman\"\n", + "2173,\"Prince Hasan\",\"Hotel Four\",\"Jordan\",\"\",\"OJHF\",32.160747,37.149383,2220,2,\"E\",\"Asia/Amman\"\n", + "2174,\"Jerusalem\",\"Jerusalem\",\"West Bank\",\"\",\"OJJR\",31.864722,35.219167,2485,2,\"U\",\"Asia/Gaza\"\n", + "2175,\"King Hussein\",\"Mafraq\",\"Jordan\",\"OMF\",\"OJMF\",32.356353,36.259181,2240,2,\"E\",\"Asia/Amman\"\n", + "2176,\"Kuwait Intl\",\"Kuwait\",\"Kuwait\",\"KWI\",\"OKBK\",29.226567,47.968928,206,3,\"U\",\"Asia/Kuwait\"\n", + "2177,\"Rafic Hariri Intl\",\"Beirut\",\"Lebanon\",\"BEY\",\"OLBA\",33.820931,35.488389,87,2,\"E\",\"Asia/Beirut\"\n", + "2178,\"Rene Mouawad\",\"Kleiat\",\"Lebanon\",\"\",\"OLKA\",34.589333,36.011322,75,2,\"E\",\"Asia/Beirut\"\n", + "2179,\"Abu Dhabi Intl\",\"Abu Dhabi\",\"United Arab Emirates\",\"AUH\",\"OMAA\",24.432972,54.651138,88,4,\"U\",\"Asia/Dubai\"\n", + "2180,\"Bateen\",\"Abu Dhabi\",\"United Arab Emirates\",\"AZI\",\"OMAD\",24.428333,54.458084,16,4,\"U\",\"Asia/Dubai\"\n", + "2181,\"Al Hamra Aux\",\"Al Hamra\",\"United Arab Emirates\",\"\",\"OMAH\",24.073981,52.463644,50,4,\"U\",\"Asia/Dubai\"\n", + "2182,\"Jebel Dhana\",\"Jebel Dhana\",\"United Arab Emirates\",\"\",\"OMAJ\",24.187428,52.614,43,4,\"U\",\"Asia/Dubai\"\n", + "6867,\"Reykjahlid Airport\",\"Myvatn\",\"Iceland\",\"MVA\",\"BIRL\",65.6558,-16.9181,1030,0,\"N\",\"Atlantic/Reykjavik\"\n", + "2184,\"Al Dhafra\",\"Abu Dhabi\",\"United Arab Emirates\",\"\",\"OMAM\",24.248249,54.547722,77,4,\"U\",\"Asia/Dubai\"\n", + "2185,\"Arzanah\",\"Arzana\",\"United Arab Emirates\",\"\",\"OMAR\",24.780528,52.559944,15,4,\"U\",\"Asia/Dubai\"\n", + "2186,\"Das Island\",\"Das Island\",\"United Arab Emirates\",\"\",\"OMAS\",25.146219,52.873711,12,4,\"U\",\"Asia/Dubai\"\n", + "2187,\"Zirku\",\"Zirku\",\"United Arab Emirates\",\"\",\"OMAZ\",24.861542,53.077833,14,4,\"U\",\"Asia/Dubai\"\n", + "2188,\"Dubai Intl\",\"Dubai\",\"United Arab Emirates\",\"DXB\",\"OMDB\",25.252778,55.364444,62,4,\"U\",\"Asia/Dubai\"\n", + "2189,\"Fujairah Intl\",\"Fujeirah\",\"United Arab Emirates\",\"FJR\",\"OMFJ\",25.112225,56.323964,152,4,\"U\",\"Asia/Dubai\"\n", + "2190,\"Ras Al Khaimah Intl\",\"Ras Al Khaimah\",\"United Arab Emirates\",\"RKT\",\"OMRK\",25.613483,55.938817,102,4,\"U\",\"Asia/Dubai\"\n", + "2191,\"Sharjah Intl\",\"Sharjah\",\"United Arab Emirates\",\"SHJ\",\"OMSJ\",25.328575,55.51715,111,4,\"U\",\"Asia/Dubai\"\n", + "2192,\"Khasab\",\"Khasab\",\"Oman\",\"KHS\",\"OOKB\",26.170986,56.240569,100,4,\"U\",\"Asia/Muscat\"\n", + "2193,\"Masirah\",\"Masirah\",\"Oman\",\"MSH\",\"OOMA\",20.675434,58.890467,64,4,\"U\",\"Asia/Muscat\"\n", + "2194,\"Seeb Intl\",\"Muscat\",\"Oman\",\"MCT\",\"OOMS\",23.593278,58.284444,48,4,\"U\",\"Asia/Muscat\"\n", + "2195,\"Salalah\",\"Salalah\",\"Oman\",\"SLL\",\"OOSA\",17.038719,54.091297,73,4,\"U\",\"Asia/Muscat\"\n", + "2196,\"Thumrait\",\"Thumrait\",\"Oman\",\"TTH\",\"OOTH\",17.666,54.024612,1570,4,\"U\",\"Asia/Muscat\"\n", + "2197,\"Bhagatanwala\",\"Bhagtanwala\",\"Pakistan\",\"\",\"OPBG\",32.056108,72.9484,600,5,\"N\",\"Asia/Karachi\"\n", + "6866,\"Spray View Airport\",\"Spray View\",\"Zimbabwe\",\"\",\"FVSV\",-17.917,25.817,3210,2,\"U\",\"Africa/Harare\"\n", + "6865,\"Lyon Part-Dieu Railway\",\"Lyon\",\"France\",\"XYD\",\\N,46,5,821,1,\"U\",\"Europe/Paris\"\n", + "2202,\"Faisalabad Intl\",\"Faisalabad\",\"Pakistan\",\"LYP\",\"OPFA\",31.365014,72.994842,591,5,\"N\",\"Asia/Karachi\"\n", + "2203,\"Gwadar\",\"Gwadar\",\"Pakistan\",\"GWD\",\"OPGD\",25.233308,62.329494,36,5,\"N\",\"Asia/Karachi\"\n", + "2204,\"Gilgit\",\"Gilgit\",\"Pakistan\",\"GIL\",\"OPGT\",35.918786,74.333644,4796,5,\"N\",\"Asia/Karachi\"\n", + "2205,\"Shahbaz Ab\",\"Jacobsbad\",\"Pakistan\",\"\",\"OPJA\",28.284167,68.449711,185,5,\"N\",\"Asia/Karachi\"\n", + "2206,\"Jinnah Intl\",\"Karachi\",\"Pakistan\",\"KHI\",\"OPKC\",24.906547,67.160797,100,5,\"N\",\"Asia/Karachi\"\n", + "2207,\"Allama Iqbal Intl\",\"Lahore\",\"Pakistan\",\"LHE\",\"OPLA\",31.521564,74.403594,712,5,\"N\",\"Asia/Karachi\"\n", + "2208,\"Walton\",\"Lahore\",\"Pakistan\",\"\",\"OPLH\",31.494794,74.346239,679,5,\"N\",\"Asia/Karachi\"\n", + "2209,\"Mangla\",\"Mangla\",\"Pakistan\",\"\",\"OPMA\",33.050086,73.638381,902,5,\"N\",\"Asia/Karachi\"\n", + "2210,\"Muzaffarabad\",\"Muzaffarabad\",\"Pakistan\",\"MFG\",\"OPMF\",34.339022,73.508639,2691,5,\"N\",\"Asia/Karachi\"\n", + "2211,\"Mianwali\",\"Mianwali\",\"Pakistan\",\"\",\"OPMI\",32.563089,71.570681,690,5,\"N\",\"Asia/Karachi\"\n", + "2212,\"Moenjodaro\",\"Moenjodaro\",\"Pakistan\",\"MJD\",\"OPMJ\",27.335156,68.143053,154,5,\"N\",\"Asia/Karachi\"\n", + "2213,\"Masroor\",\"Karachi\",\"Pakistan\",\"\",\"OPMR\",24.893564,66.938753,35,5,\"N\",\"Asia/Karachi\"\n", + "2214,\"Multan Intl\",\"Multan\",\"Pakistan\",\"MUX\",\"OPMT\",30.203222,71.419111,403,5,\"N\",\"Asia/Karachi\"\n", + "2215,\"Nawabshah\",\"Nawabshah\",\"Pakistan\",\"WNS\",\"OPNH\",26.219442,68.390053,95,5,\"N\",\"Asia/Karachi\"\n", + "2216,\"Okara\",\"Okara\",\"Pakistan\",\"\",\"OPOK\",30.741025,73.357736,568,5,\"N\",\"Asia/Karachi\"\n", + "2217,\"Panjgur\",\"Panjgur\",\"Pakistan\",\"PJG\",\"OPPG\",26.954547,64.132517,3289,5,\"N\",\"Asia/Karachi\"\n", + "2218,\"Pasni\",\"Pasni\",\"Pakistan\",\"PSI\",\"OPPI\",25.290487,63.345083,33,5,\"N\",\"Asia/Karachi\"\n", + "2219,\"Peshawar Intl\",\"Peshawar\",\"Pakistan\",\"PEW\",\"OPPS\",33.993911,71.514581,1158,5,\"N\",\"Asia/Karachi\"\n", + "2220,\"Qasim\",\"Qasim\",\"Pakistan\",\"\",\"OPQS\",33.560153,73.033217,1581,5,\"N\",\"Asia/Karachi\"\n", + "2221,\"Quetta\",\"Quetta\",\"Pakistan\",\"UET\",\"OPQT\",30.251369,66.937764,5267,5,\"N\",\"Asia/Karachi\"\n", + "2222,\"Sheikh Zayed\",\"Rahim Yar Khan\",\"Pakistan\",\"RYK\",\"OPRK\",28.3839,70.279572,271,5,\"N\",\"Asia/Karachi\"\n", + "2223,\"Chaklala\",\"Islamabad\",\"Pakistan\",\"ISB\",\"OPRN\",33.616653,73.099233,1668,5,\"N\",\"Asia/Karachi\"\n", + "2224,\"Risalpur\",\"Risalpur\",\"Pakistan\",\"\",\"OPRS\",34.081112,71.972583,1050,5,\"N\",\"Asia/Karachi\"\n", + "2225,\"Rawalakot\",\"Rawala Kot\",\"Pakistan\",\"RAZ\",\"OPRT\",33.849658,73.798147,5479,5,\"N\",\"Asia/Karachi\"\n", + "6864,\"Point Roberts Airpark\",\"Point Roberts\",\"United States\",\"1RL\",\"K1RL\",48.9797222,-123.0788889,10,-8,\"A\",\"America/Los_Angeles\"\n", + "2227,\"Sukkur\",\"Sukkur\",\"Pakistan\",\"SKZ\",\"OPSK\",27.721989,68.791683,196,5,\"N\",\"Asia/Karachi\"\n", + "2228,\"Saidu Sharif\",\"Saidu Sharif\",\"Pakistan\",\"SDT\",\"OPSS\",34.813556,72.352814,3183,5,\"N\",\"Asia/Karachi\"\n", + "2229,\"Sui\",\"Sui\",\"Pakistan\",\"SUL\",\"OPSU\",28.645142,69.176917,763,5,\"N\",\"Asia/Karachi\"\n", + "2230,\"Talhar\",\"Talhar\",\"Pakistan\",\"BDN\",\"OPTH\",24.841519,68.838408,28,5,\"N\",\"Asia/Karachi\"\n", + "2232,\"Wana\",\"Wana\",\"Pakistan\",\"\",\"OPWN\",32.304664,69.570433,4550,5,\"N\",\"Asia/Karachi\"\n", + "2233,\"Zhob\",\"Zhob\",\"Pakistan\",\"PZH\",\"OPZB\",31.358381,69.463606,4728,5,\"N\",\"Asia/Karachi\"\n", + "2234,\"Basrah Intl\",\"Basrah\",\"Iraq\",\"BSR\",\"ORMM\",30.549069,47.662142,11,3,\"U\",\"Asia/Baghdad\"\n", + "2235,\"Aleppo Intl\",\"Aleppo\",\"Syria\",\"ALP\",\"OSAP\",36.180675,37.224358,1276,2,\"E\",\"Asia/Damascus\"\n", + "2236,\"Damascus Intl\",\"Damascus\",\"Syria\",\"DAM\",\"OSDI\",33.410636,36.514267,2020,2,\"E\",\"Asia/Damascus\"\n", + "2237,\"Deir Zzor\",\"Deire Zor\",\"Syria\",\"DEZ\",\"OSDZ\",35.285374,40.175961,700,2,\"E\",\"Asia/Damascus\"\n", + "2239,\"Bassel Al Assad Intl\",\"Latakia\",\"Syria\",\"LTK\",\"OSLK\",35.401094,35.948681,157,2,\"E\",\"Asia/Damascus\"\n", + "2240,\"Palmyra\",\"Palmyra\",\"Syria\",\"PMS\",\"OSPR\",34.557361,38.316889,1322,2,\"E\",\"Asia/Damascus\"\n", + "2241,\"Doha Intl\",\"Doha\",\"Qatar\",\"DOH\",\"OTBD\",25.261125,51.565056,35,3,\"U\",\"Asia/Qatar\"\n", + "2242,\"Canton\",\"Canton Island\",\"Kiribati\",\"CIS\",\"PCIS\",-2.768122,-171.710394,9,13,\"U\",\"Pacific/Enderbury\"\n", + "2243,\"Rota Intl\",\"Rota\",\"Northern Mariana Islands\",\"ROP\",\"PGRO\",14.174308,145.242536,607,10,\"U\",\"Pacific/Saipan\"\n", + "2244,\"Francisco C Ada Saipan Intl\",\"Saipan\",\"Northern Mariana Islands\",\"SPN\",\"PGSN\",15.119003,145.729356,215,10,\"U\",\"Pacific/Saipan\"\n", + "2245,\"Andersen Afb\",\"Andersen\",\"Guam\",\"UAM\",\"PGUA\",13.583953,144.930025,627,10,\"U\",\"Pacific/Guam\"\n", + "2246,\"Guam Intl\",\"Agana\",\"Guam\",\"GUM\",\"PGUM\",13.48345,144.795983,298,10,\"U\",\"Pacific/Guam\"\n", + "2247,\"Tinian Intl\",\"West Tinian\",\"Northern Mariana Islands\",\"TIQ\",\"PGWT\",14.999203,145.61935,271,10,\"U\",\"Pacific/Saipan\"\n", + "6807,\"Scone Airport\",\"Scone\",\"Australia\",\"NSO\",\"YSCO\",-32.0372,150.832,745,10,\"O\",\"Australia/Sydney\"\n", + "2249,\"Marshall Islands Intl\",\"Majuro\",\"Marshall Islands\",\"MAJ\",\"PKMJ\",7.064758,171.272022,6,12,\"U\",\"Pacific/Majuro\"\n", + "2250,\"Dyess Aaf\",\"Kwajalein\",\"Marshall Islands\",\"\",\"PKRO\",9.396886,167.470869,9,12,\"U\",\"Pacific/Majuro\"\n", + "2251,\"Bucholz Aaf\",\"Kwajalein\",\"Marshall Islands\",\"KWA\",\"PKWA\",8.720122,167.731661,9,12,\"U\",\"Pacific/Majuro\"\n", + "2252,\"Cassidy Intl\",\"Kiritimati\",\"Kiribati\",\"CXI\",\"PLCH\",1.986161,-157.349778,5,-12,\"U\",\\N\n", + "2253,\"Midway Atoll\",\"Midway\",\"Midway Islands\",\"MDY\",\"PMDY\",28.201725,-177.380636,13,-11,\"U\",\"Pacific/Midway\"\n", + "2254,\"Chuuk Intl\",\"Chuuk\",\"Micronesia\",\"TKK\",\"PTKK\",7.461869,151.843006,11,10,\"U\",\"Pacific/Truk\"\n", + "2255,\"Pohnpei Intl\",\"Pohnpei\",\"Micronesia\",\"PNI\",\"PTPN\",6.9851,158.208989,10,11,\"U\",\"Pacific/Ponape\"\n", + "2256,\"Babelthuap\",\"Babelthuap\",\"Palau\",\"ROR\",\"PTRO\",7.367303,134.544278,176,9,\"U\",\"Pacific/Palau\"\n", + "2257,\"Kosrae\",\"Kosrae\",\"Micronesia\",\"KSA\",\"PTSA\",5.356975,162.958386,11,11,\"U\",\"Pacific/Kosrae\"\n", + "2258,\"Yap Intl\",\"Yap\",\"Micronesia\",\"YAP\",\"PTYA\",9.498911,138.082497,91,10,\"U\",\"Pacific/Truk\"\n", + "2259,\"Shang Yi\",\"Kinmen\",\"Taiwan\",\"KNH\",\"RCBS\",24.427892,118.359197,93,8,\"U\",\"Asia/Taipei\"\n", + "2260,\"Pingtung South\",\"Pingtung\",\"Taiwan\",\"PIF\",\"RCDC\",22.672367,120.461728,78,8,\"U\",\"Asia/Taipei\"\n", + "2261,\"Longtan\",\"Longtang\",\"Taiwan\",\"\",\"RCDI\",24.855136,121.237636,790,8,\"U\",\"Asia/Taipei\"\n", + "2262,\"Fengnin\",\"Fengnin\",\"Taiwan\",\"TTT\",\"RCFN\",22.754986,121.101681,143,8,\"U\",\"Asia/Taipei\"\n", + "2263,\"Lyudao\",\"Green Island\",\"Taiwan\",\"GNI\",\"RCGI\",22.673853,121.466481,28,8,\"U\",\"Asia/Taipei\"\n", + "2264,\"Kaohsiung Intl\",\"Kaohsiung\",\"Taiwan\",\"KHH\",\"RCKH\",22.577094,120.350006,31,8,\"U\",\"Asia/Taipei\"\n", + "2265,\"Chiayi\",\"Chiayi\",\"Taiwan\",\"CYI\",\"RCKU\",23.461779,120.39283,85,8,\"U\",\"Asia/Taipei\"\n", + "2267,\"Lanyu\",\"Lanyu\",\"Taiwan\",\"KYD\",\"RCLY\",22.028842,121.533642,44,8,\"U\",\"Asia/Taipei\"\n", + "2268,\"Ching Chuang Kang\",\"Taichung\",\"Taiwan\",\"RMQ\",\"RCMQ\",24.264668,120.62058,663,8,\"N\",\"Asia/Taipei\"\n", + "6806,\"Cessnock Airport\",\"Cessnock\",\"Australia\",\"CES\",\"YCNK\",-32.7875,151.342,211,10,\"O\",\"Australia/Sydney\"\n", + "2270,\"Tainan\",\"Tainan\",\"Taiwan\",\"TNN\",\"RCNN\",22.950361,120.205778,63,8,\"U\",\"Asia/Taipei\"\n", + "2271,\"Hsinchu\",\"Hsinchu\",\"Taiwan\",\"\",\"RCPO\",24.818033,120.939394,26,8,\"U\",\"Asia/Taipei\"\n", + "2272,\"Magong\",\"Makung\",\"Taiwan\",\"MZG\",\"RCQC\",23.568669,119.628311,103,8,\"U\",\"Asia/Taipei\"\n", + "2273,\"Jhihhang\",\"Taitung\",\"Taiwan\",\"\",\"RCQS\",22.793117,121.181975,128,8,\"U\",\"Asia/Taipei\"\n", + "2274,\"Pingtung North\",\"Pingtung\",\"Taiwan\",\"\",\"RCSQ\",22.700239,120.482,97,8,\"U\",\"Asia/Taipei\"\n", + "2275,\"Sungshan\",\"Taipei\",\"Taiwan\",\"TSA\",\"RCSS\",25.069722,121.5525,18,8,\"U\",\"Asia/Taipei\"\n", + "2276,\"Taoyuan Intl\",\"Taipei\",\"Taiwan\",\"TPE\",\"RCTP\",25.077731,121.232822,106,8,\"U\",\"Asia/Taipei\"\n", + "2277,\"Wang An\",\"Wang An\",\"Taiwan\",\"WOT\",\"RCWA\",23.370833,119.494444,115,8,\"U\",\"Asia/Taipei\"\n", + "2278,\"Hualien\",\"Hualien\",\"Taiwan\",\"HUN\",\"RCYU\",24.023725,121.616906,52,8,\"U\",\"Asia/Taipei\"\n", + "2279,\"Narita Intl\",\"Tokyo\",\"Japan\",\"NRT\",\"RJAA\",35.764722,140.386389,141,9,\"U\",\"Asia/Tokyo\"\n", + "2280,\"Matsumoto\",\"Matsumoto\",\"Japan\",\"MMJ\",\"RJAF\",36.166758,137.922669,2182,9,\"U\",\"Asia/Tokyo\"\n", + "2281,\"Hyakuri\",\"Ibaraki\",\"Japan\",\"IBR\",\"RJAH\",36.181083,140.415444,105,9,\"U\",\"Asia/Tokyo\"\n", + "2282,\"Minami Torishima\",\"Minami Tori Shima\",\"Japan\",\"\",\"RJAM\",24.289697,153.979119,22,9,\"U\",\"Asia/Tokyo\"\n", + "2283,\"Iwo Jima\",\"Iwojima\",\"Japan\",\"IWO\",\"RJAW\",24.784,141.322722,384,9,\"U\",\"Asia/Tokyo\"\n", + "2284,\"Nanki Shirahama\",\"Nanki-shirahama\",\"Japan\",\"SHM\",\"RJBD\",33.662222,135.364444,298,9,\"U\",\"Asia/Tokyo\"\n", + "2285,\"Kohnan\",\"Kohnan\",\"Japan\",\"\",\"RJBK\",34.590836,133.933225,3,9,\"U\",\"Asia/Tokyo\"\n", + "2286,\"Obihiro\",\"Obihiro\",\"Japan\",\"OBO\",\"RJCB\",42.733333,143.217222,505,9,\"U\",\"Asia/Tokyo\"\n", + "2287,\"New Chitose\",\"Sapporo\",\"Japan\",\"CTS\",\"RJCC\",42.7752,141.692283,82,9,\"U\",\"Asia/Tokyo\"\n", + "2288,\"Hakodate\",\"Hakodate\",\"Japan\",\"HKD\",\"RJCH\",41.77,140.821944,151,9,\"U\",\"Asia/Tokyo\"\n", + "2289,\"Chitose\",\"Chitose\",\"Japan\",\"SPK\",\"RJCJ\",42.794475,141.666447,87,9,\"U\",\"Asia/Tokyo\"\n", + "2290,\"Memanbetsu\",\"Memanbetsu\",\"Japan\",\"MMB\",\"RJCM\",43.880606,144.164053,135,9,\"U\",\"Asia/Tokyo\"\n", + "2291,\"Nakashibetsu\",\"Nakashibetsu\",\"Japan\",\"SHB\",\"RJCN\",43.5775,144.96,234,9,\"U\",\"Asia/Tokyo\"\n", + "2293,\"Tokachi\",\"Tokachi\",\"Japan\",\"\",\"RJCT\",42.890544,143.158475,281,9,\"U\",\"Asia/Tokyo\"\n", + "2294,\"Wakkanai\",\"Wakkanai\",\"Japan\",\"WKJ\",\"RJCW\",45.404167,141.800833,30,9,\"U\",\"Asia/Tokyo\"\n", + "2295,\"Iki\",\"Iki\",\"Japan\",\"IKI\",\"RJDB\",33.749027,129.785417,41,9,\"U\",\"Asia/Tokyo\"\n", + 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"2304,\"Fukue\",\"Fukue\",\"Japan\",\"FUJ\",\"RJFE\",32.666269,128.832808,273,9,\"U\",\"Asia/Tokyo\"\n", + "2305,\"Fukuoka\",\"Fukuoka\",\"Japan\",\"FUK\",\"RJFF\",33.585942,130.450686,32,9,\"U\",\"Asia/Tokyo\"\n", + "2306,\"New Tanegashima\",\"Tanegashima\",\"Japan\",\"TNE\",\"RJFG\",30.605067,130.991231,768,9,\"U\",\"Asia/Tokyo\"\n", + "2307,\"Kagoshima\",\"Kagoshima\",\"Japan\",\"KOJ\",\"RJFK\",31.803397,130.719408,906,9,\"U\",\"Asia/Tokyo\"\n", + "2308,\"Miyazaki\",\"Miyazaki\",\"Japan\",\"KMI\",\"RJFM\",31.877222,131.448611,20,9,\"U\",\"Asia/Tokyo\"\n", + "2309,\"Nyutabaru\",\"Nyutabaru\",\"Japan\",\"\",\"RJFN\",32.083611,131.451389,259,9,\"U\",\"Asia/Tokyo\"\n", + "2310,\"Oita\",\"Oita\",\"Japan\",\"OIT\",\"RJFO\",33.479444,131.737222,19,9,\"U\",\"Asia/Tokyo\"\n", + "2311,\"New Kitakyushu\",\"Kitakyushu\",\"Japan\",\"KKJ\",\"RJFR\",33.845942,131.034689,21,9,\"U\",\"Asia/Tokyo\"\n", + 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"2411,\"Mamburao\",\"Mamburao\",\"Philippines\",\"\",\"RPUM\",13.208092,120.60535,13,8,\"N\",\"Asia/Manila\"\n", + "2414,\"Vigan\",\"Vigan\",\"Philippines\",\"\",\"RPUQ\",17.555331,120.355797,16,8,\"N\",\"Asia/Manila\"\n", + "2415,\"Baler\",\"Baler\",\"Philippines\",\"\",\"RPUR\",15.729836,121.500133,108,8,\"N\",\"Asia/Manila\"\n", + "6857,\"Kimana\",\"Kimana\",\"Kenya\",\"\",\\N,-2.8,37.5333333333333,3900,3,\"U\",\"Africa/Nairobi\"\n", + "6856,\"Solio Ranch Airport\",\"Solio\",\"Kenya\",\"\",\\N,-0.245167,36.8849,6300,3,\"U\",\"Africa/Nairobi\"\n", + "6855,\"Kalundborg Flyveplads\",\"Kalundborg\",\"Denmark\",\"\",\"EKKL\",55.7001,11.2549,13,1,\"E\",\"Europe/Copenhagen\"\n", + "2421,\"Bagabag\",\"Bagabag\",\"Philippines\",\"\",\"RPUZ\",16.619194,121.252319,820,8,\"N\",\"Asia/Manila\"\n", + "2422,\"Daniel Z Romualdez\",\"Tacloban\",\"Philippines\",\"TAC\",\"RPVA\",11.227628,125.027758,10,8,\"N\",\"Asia/Manila\"\n", + "2423,\"Bacolod\",\"Bacolod\",\"Philippines\",\"BCD\",\"RPVB\",10.642511,122.929617,25,8,\"N\",\"Asia/Manila\"\n", + "6854,\"Gardermoen Airport\",\"Oslo\",\"Norway\",\"GEN\",\\N,60.1939,11.1004,681,1,\"E\",\"Europe/Oslo\"\n", + "2425,\"Dumaguete\",\"Dumaguete\",\"Philippines\",\"DGT\",\"RPVD\",9.333714,123.300472,15,8,\"N\",\"Asia/Manila\"\n", + "2426,\"Caticlan\",\"Caticlan\",\"Philippines\",\"\",\"RPVE\",11.924503,121.95405,7,8,\"N\",\"Asia/Manila\"\n", + "2428,\"Guiuan\",\"Guiuan\",\"Philippines\",\"\",\"RPVG\",11.035544,125.741594,7,8,\"N\",\"Asia/Manila\"\n", + "2429,\"Iloilo\",\"Iloilo\",\"Philippines\",\"ILO\",\"RPVI\",10.713044,122.545297,27,8,\"N\",\"Asia/Manila\"\n", + "2430,\"Kalibo\",\"Kalibo\",\"Philippines\",\"KLO\",\"RPVK\",11.679431,122.376294,14,8,\"N\",\"Asia/Manila\"\n", + "2431,\"Mactan Cebu Intl\",\"Masbate\",\"Philippines\",\"\",\"RPVM\",10.307542,123.979439,31,8,\"N\",\"Asia/Manila\"\n", + "6853,\"Wausau Downtown Airport\",\"Wausau\",\"United 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"2468,\"Corrientes\",\"Corrientes\",\"Argentina\",\"CNQ\",\"SARC\",-27.445503,-58.761864,203,-3,\"N\",\"America/Cordoba\"\n", + "2469,\"Resistencia\",\"Resistencia\",\"Argentina\",\"RES\",\"SARE\",-27.449986,-59.056125,173,-3,\"N\",\"America/Cordoba\"\n", + "2470,\"Formosa\",\"Formosa\",\"Argentina\",\"FMA\",\"SARF\",-26.212722,-58.228111,194,-3,\"N\",\"America/Cordoba\"\n", + "2471,\"Cataratas Del Iguazu\",\"Iguazu Falls\",\"Argentina\",\"IGR\",\"SARI\",-25.737281,-54.473444,916,-3,\"N\",\"America/Cordoba\"\n", + "2472,\"Paso De Los Libres\",\"Paso De Los Libres\",\"Argentina\",\"AOL\",\"SARL\",-29.689425,-57.152078,230,-3,\"N\",\"America/Cordoba\"\n", + "2473,\"Monte Caseros\",\"Monte Caseros\",\"Argentina\",\"\",\"SARM\",-30.271922,-57.640231,174,-3,\"N\",\"America/Cordoba\"\n", + "2474,\"Posadas\",\"Posadas\",\"Argentina\",\"PSS\",\"SARP\",-27.385839,-55.970728,430,-3,\"N\",\"America/Cordoba\"\n", + "2475,\"Termal\",\"Presidencia 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"2483,\"Obera\",\"Obera\",\"Argentina\",\"\",\"SATO\",-27.518156,-55.124156,1125,-3,\"N\",\"America/Cordoba\"\n", + "2484,\"Reconquista\",\"Reconquista\",\"Argentina\",\"\",\"SATR\",-29.210278,-59.68,161,-3,\"N\",\"America/Cordoba\"\n", + "2485,\"Curuzu Cuatia\",\"Curuzu Cuatia\",\"Argentina\",\"\",\"SATU\",-29.770555,-57.978889,229,-3,\"N\",\"America/Cordoba\"\n", + "2486,\"El Bolson\",\"El Bolson\",\"Argentina\",\"EHL\",\"SAVB\",-41.943189,-71.532289,1131,-3,\"N\",\"America/Cordoba\"\n", + "2487,\"Comodoro Rivadavia\",\"Comodoro Rivadavia\",\"Argentina\",\"CRD\",\"SAVC\",-45.785347,-67.465508,190,-3,\"N\",\"America/Cordoba\"\n", + "2488,\"Esquel\",\"Esquel\",\"Argentina\",\"EQS\",\"SAVE\",-42.90795,-71.139472,2621,-3,\"N\",\"America/Cordoba\"\n", + "2490,\"Almirante Zar\",\"Trelew\",\"Argentina\",\"REL\",\"SAVT\",-43.2105,-65.270319,141,-3,\"N\",\"America/Cordoba\"\n", + "2491,\"Gobernador 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Kraemer\",\"Bage\",\"Brazil\",\"BGX\",\"SBBG\",-31.390528,-54.112244,600,-3,\"S\",\"America/Sao_Paulo\"\n", + "2528,\"Pampulha Carlos Drummond De Andrade\",\"Belo Horizonte\",\"Brazil\",\"PLU\",\"SBBH\",-19.851181,-43.950628,2589,-3,\"S\",\"America/Sao_Paulo\"\n", + "2529,\"Bacacheri\",\"Curitiba\",\"Brazil\",\"BFH\",\"SBBI\",-25.405078,-49.232036,3057,-3,\"S\",\"America/Sao_Paulo\"\n", + "2530,\"Major Brigadeiro Doorgal Borges\",\"Barbacena\",\"Brazil\",\"\",\"SBBQ\",-21.267167,-43.761056,3657,-3,\"S\",\"America/Sao_Paulo\"\n", + "2531,\"Presidente Juscelino Kubitschek\",\"Brasilia\",\"Brazil\",\"BSB\",\"SBBR\",-15.8711,-47.918625,3479,-3,\"S\",\"America/Sao_Paulo\"\n", + "2532,\"Bauru\",\"Bauru\",\"Brazil\",\"BAU\",\"SBBU\",-22.345042,-49.0538,2025,-3,\"S\",\"America/Sao_Paulo\"\n", + "2533,\"Boa Vista\",\"Boa Vista\",\"Brazil\",\"BVB\",\"SBBV\",2.846311,-60.690069,276,-4,\"S\",\"America/Boa_Vista\"\n", + "2534,\"Barra Do Garcas\",\"Barra Do 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"2542,\"Canoas\",\"Porto Alegre\",\"Brazil\",\"\",\"SBCO\",-29.945944,-51.144367,26,-3,\"S\",\"America/Sao_Paulo\"\n", + "2543,\"Bartolomeu Lisandro\",\"Campos\",\"Brazil\",\"CAW\",\"SBCP\",-21.698333,-41.301669,57,-3,\"S\",\"America/Sao_Paulo\"\n", + "2544,\"Corumba Intl\",\"Corumba\",\"Brazil\",\"CMG\",\"SBCR\",-19.011931,-57.673053,461,-4,\"S\",\"America/Campo_Grande\"\n", + "2545,\"Afonso Pena\",\"Curitiba\",\"Brazil\",\"CWB\",\"SBCT\",-25.528475,-49.175775,2988,-3,\"S\",\"America/Sao_Paulo\"\n", + "2546,\"Caravelas\",\"Caravelas\",\"Brazil\",\"CRQ\",\"SBCV\",-17.652283,-39.253069,36,-3,\"S\",\"America/Fortaleza\"\n", + "2547,\"Campo Dos Bugres\",\"Caxias Do Sul\",\"Brazil\",\"CXJ\",\"SBCX\",-29.197064,-51.187536,2472,-3,\"S\",\"America/Sao_Paulo\"\n", + "2548,\"Marechal Rondon\",\"Cuiaba\",\"Brazil\",\"CGB\",\"SBCY\",-15.652931,-56.116719,617,-4,\"S\",\"America/Campo_Grande\"\n", + "2549,\"Cruzeiro do Sul\",\"Cruzeiro do 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Intl\",\"Quito\",\"Ecuador\",\"UIO\",\"SEQU\",-0.141144,-78.488214,9228,-5,\"U\",\"America/Guayaquil\"\n", + "2689,\"Chimborazo\",\"Riobamba\",\"Ecuador\",\"\",\"SERB\",-1.653433,-78.656142,9151,-5,\"U\",\"America/Guayaquil\"\n", + "2690,\"Coronel Artilleria Victor Larrea\",\"Santa Rosa\",\"Ecuador\",\"\",\"SERO\",-3.435161,-79.977817,170,-5,\"U\",\"America/Guayaquil\"\n", + "2691,\"General Ulpiano Paez\",\"Salinas\",\"Ecuador\",\"SNC\",\"SESA\",-2.204994,-80.988878,18,-5,\"U\",\"America/Guayaquil\"\n", + "2692,\"Santo Domingo Los Colorados\",\"Santo Domingo\",\"Ecuador\",\"\",\"SESD\",-0.248222,-79.214447,1714,-5,\"U\",\"America/Guayaquil\"\n", + "2694,\"Taura\",\"Taura\",\"Ecuador\",\"\",\"SETA\",-2.261036,-79.680169,56,-5,\"U\",\"America/Guayaquil\"\n", + "2695,\"Mayor Galo Torres\",\"Tena\",\"Ecuador\",\"\",\"SETE\",-0.986767,-77.819447,1708,-5,\"U\",\"America/Guayaquil\"\n", + "2696,\"Tarapoa\",\"Tarapoa\",\"Ecuador\",\"TPC\",\"SETR\",-0.122956,-76.33775,814,-5,\"U\",\"America/Guayaquil\"\n", + "2697,\"Teniente Coronel Luis A Mantilla\",\"Tulcan\",\"Ecuador\",\"TUA\",\"SETU\",0.809506,-77.708056,9649,-5,\"U\",\"America/Guayaquil\"\n", + "6847,\"Silverton\",\"Silverton\",\"United States\",\"\",\\N,37.812545,-107.662994,9308,-7,\"U\",\"America/Denver\"\n", + "2699,\"Silvio Pettirossi Intl\",\"Asuncion\",\"Paraguay\",\"ASU\",\"SGAS\",-25.23985,-57.519133,292,-4,\"S\",\"America/Asuncion\"\n", + "2700,\"Juan De Ayolas\",\"Ayolas\",\"Paraguay\",\"\",\"SGAY\",-27.37065,-56.853944,223,-4,\"S\",\"America/Asuncion\"\n", + "2701,\"Teniente Col Carmelo Peralta\",\"Conception\",\"Paraguay\",\"\",\"SGCO\",-23.44175,-57.427122,253,-4,\"S\",\"America/Asuncion\"\n", + "2702,\"Itaipu\",\"Itaipu\",\"Paraguay\",\"\",\"SGIB\",-25.407853,-54.619417,762,-4,\"S\",\"America/Asuncion\"\n", + "2703,\"Dr Luis Maria Argana Intl\",\"Mariscal Estigarribia\",\"Paraguay\",\"\",\"SGME\",-22.044986,-60.621694,553,-4,\"S\",\"America/Asuncion\"\n", + "2704,\"Carlos Miguel Gimenez\",\"Pilar\",\"Paraguay\",\"\",\"SGPI\",-26.881467,-58.318036,249,-4,\"S\",\"America/Asuncion\"\n", + "2705,\"El Eden\",\"Armenia\",\"Colombia\",\"AXM\",\"SKAR\",4.452775,-75.766447,3990,-5,\"U\",\"America/Bogota\"\n", + "2706,\"Tres De Mayo\",\"Puerto Asis\",\"Colombia\",\"PUU\",\"SKAS\",0.505228,-76.500836,815,-5,\"U\",\"America/Bogota\"\n", + "2707,\"Las Flores\",\"El Banco\",\"Colombia\",\"\",\"SKBC\",9.045542,-73.974931,111,-5,\"U\",\"America/Bogota\"\n", + "2708,\"Palonegro\",\"Bucaramanga\",\"Colombia\",\"BGA\",\"SKBG\",7.1265,-73.184778,3897,-5,\"U\",\"America/Bogota\"\n", + "2709,\"Eldorado Intl\",\"Bogota\",\"Colombia\",\"BOG\",\"SKBO\",4.701594,-74.146947,8361,-5,\"U\",\"America/Bogota\"\n", + "2710,\"Ernesto Cortissoz\",\"Barranquilla\",\"Colombia\",\"BAQ\",\"SKBQ\",10.889589,-74.780819,98,-5,\"U\",\"America/Bogota\"\n", + "2711,\"Jose Celestino Mutis\",\"Bahia Solano\",\"Colombia\",\"BSC\",\"SKBS\",6.202917,-77.394675,80,-5,\"U\",\"America/Bogota\"\n", + "2712,\"Gerardo Tobar Lopez\",\"Buenaventura\",\"Colombia\",\"BUN\",\"SKBU\",3.819628,-76.989767,48,-5,\"U\",\"America/Bogota\"\n", + "2713,\"Camilo Daza\",\"Cucuta\",\"Colombia\",\"CUC\",\"SKCC\",7.927567,-72.511547,1096,-5,\"U\",\"America/Bogota\"\n", + "2714,\"Rafael Nunez\",\"Cartagena\",\"Colombia\",\"CTG\",\"SKCG\",10.442381,-75.512961,4,-5,\"U\",\"America/Bogota\"\n", + "2715,\"Alfonso Bonilla Aragon Intl\",\"Cali\",\"Colombia\",\"CLO\",\"SKCL\",3.543222,-76.381583,3162,-5,\"U\",\"America/Bogota\"\n", + "2716,\"La Florida\",\"Tumaco\",\"Colombia\",\"TCO\",\"SKCO\",1.814417,-78.749228,8,-5,\"U\",\"America/Bogota\"\n", + "2717,\"Las Brujas\",\"Corozal\",\"Colombia\",\"CZU\",\"SKCZ\",9.332742,-75.285594,528,-5,\"U\",\"America/Bogota\"\n", + "2718,\"Yariguies\",\"Barrancabermeja\",\"Colombia\",\"EJA\",\"SKEJ\",7.024331,-73.8068,412,-5,\"U\",\"America/Bogota\"\n", + "2719,\"Gustavo Artunduaga Paredes\",\"Florencia\",\"Colombia\",\"FLA\",\"SKFL\",1.589189,-75.564372,803,-5,\"U\",\"America/Bogota\"\n", + "2720,\"Santiago Vila\",\"Girardot\",\"Colombia\",\"\",\"SKGI\",4.276242,-74.796692,900,-5,\"U\",\"America/Bogota\"\n", + "6846,\"McCarthy Airport\",\"McCarthy\",\"United States\",\"MXY\",\\N,61.4370608,-142.90307372,1531,-9,\"U\",\"America/Anchorage\"\n", + "2722,\"Juan Casiano\",\"Guapi\",\"Colombia\",\"GPI\",\"SKGP\",2.570133,-77.8986,164,-5,\"U\",\"America/Bogota\"\n", + "2723,\"Guaymaral\",\"Guaymaral\",\"Colombia\",\"\",\"SKGY\",4.812333,-74.064919,8390,-5,\"U\",\"America/Bogota\"\n", + "2724,\"Perales\",\"Ibague\",\"Colombia\",\"IBE\",\"SKIB\",4.421608,-75.1333,2999,-5,\"U\",\"America/Bogota\"\n", + "2725,\"San Luis\",\"Ipiales\",\"Colombia\",\"IPI\",\"SKIP\",0.861925,-77.671764,9765,-5,\"U\",\"America/Bogota\"\n", + "2726,\"Antonio Roldan Betancourt\",\"Carepa\",\"Colombia\",\"\",\"SKLC\",7.811956,-76.716428,46,-5,\"U\",\"America/Bogota\"\n", + "2727,\"La Mina\",\"La Mina\",\"Colombia\",\"\",\"SKLM\",11.232528,-72.490139,276,-5,\"U\",\"America/Bogota\"\n", + "2728,\"Alfredo Vasquez Cobo\",\"Leticia\",\"Colombia\",\"LET\",\"SKLT\",-4.193549,-69.943163,277,-5,\"U\",\"America/Bogota\"\n", + "2729,\"Olaya Herrera\",\"Medellin\",\"Colombia\",\"EOH\",\"SKMD\",6.219958,-75.590519,4940,-5,\"U\",\"America/Bogota\"\n", + "2730,\"Baracoa\",\"Magangue\",\"Colombia\",\"MGN\",\"SKMG\",9.284739,-74.846092,178,-5,\"U\",\"America/Bogota\"\n", + "2731,\"Los Garzones\",\"Monteria\",\"Colombia\",\"MTR\",\"SKMR\",8.823744,-75.825831,36,-5,\"U\",\"America/Bogota\"\n", + "2732,\"Fabio Alberto Leon Bentley\",\"Mitu\",\"Colombia\",\"MVP\",\"SKMU\",1.253664,-70.233878,680,-5,\"U\",\"America/Bogota\"\n", + "2733,\"La Nubia\",\"Manizales\",\"Colombia\",\"MZL\",\"SKMZ\",5.029597,-75.464708,6871,-5,\"U\",\"America/Bogota\"\n", + "2734,\"Benito Salas\",\"Neiva\",\"Colombia\",\"NVA\",\"SKNV\",2.95015,-75.294,1464,-5,\"U\",\"America/Bogota\"\n", + "2735,\"Aguas Claras\",\"Ocana\",\"Colombia\",\"OCV\",\"SKOC\",8.315061,-73.358331,3850,-5,\"U\",\"America/Bogota\"\n", + "2736,\"Otu\",\"Otu\",\"Colombia\",\"OTU\",\"SKOT\",7.010369,-74.715497,2060,-5,\"U\",\"America/Bogota\"\n", + "2737,\"Puerto Bolivar\",\"Puerto Bolivar\",\"Colombia\",\"\",\"SKPB\",12.221483,-71.984817,90,-5,\"U\",\"America/Bogota\"\n", + "2738,\"Puerto Carreno\",\"Puerto Carreno\",\"Colombia\",\"PCR\",\"SKPC\",6.184717,-67.493164,177,-5,\"U\",\"America/Bogota\"\n", + "2739,\"Matecana\",\"Pereira\",\"Colombia\",\"PEI\",\"SKPE\",4.812675,-75.739519,4416,-5,\"U\",\"America/Bogota\"\n", + "2740,\"Pitalito\",\"Pitalito\",\"Colombia\",\"\",\"SKPI\",1.857769,-76.085719,4212,-5,\"U\",\"America/Bogota\"\n", + "2741,\"Guillermo Leon Valencia\",\"Popayan\",\"Colombia\",\"PPN\",\"SKPP\",2.4544,-76.609319,5687,-5,\"U\",\"America/Bogota\"\n", + "2742,\"Antonio Narino\",\"Pasto\",\"Colombia\",\"PSO\",\"SKPS\",1.396247,-77.291478,5951,-5,\"U\",\"America/Bogota\"\n", + "2743,\"El Embrujo\",\"Providencia\",\"Colombia\",\"PVA\",\"SKPV\",13.356944,-81.35833,10,-5,\"U\",\"America/Bogota\"\n", + "2744,\"Mariquita\",\"Mariquita\",\"Colombia\",\"\",\"SKQU\",5.212556,-74.883647,1531,-5,\"U\",\"America/Bogota\"\n", + "2745,\"Jose Maria Cordova\",\"Rio Negro\",\"Colombia\",\"MDE\",\"SKRG\",6.164536,-75.423119,6955,-5,\"U\",\"America/Bogota\"\n", + "2746,\"Almirante Padilla\",\"Rio Hacha\",\"Colombia\",\"RCH\",\"SKRH\",11.526222,-72.925958,43,-5,\"U\",\"America/Bogota\"\n", + "2747,\"Jorge E Gonzalez Torres\",\"San Jose Del Guaviare\",\"Colombia\",\"SJE\",\"SKSJ\",2.579694,-72.639358,605,-5,\"U\",\"America/Bogota\"\n", + "2748,\"Simon Bolivar\",\"Santa Marta\",\"Colombia\",\"SMR\",\"SKSM\",11.11965,-74.230647,22,-5,\"U\",\"America/Bogota\"\n", + "2749,\"Gustavo Rojas Pinilla\",\"San Andres Island\",\"Colombia\",\"ADZ\",\"SKSP\",12.583594,-81.711192,19,-5,\"U\",\"America/Bogota\"\n", + "2750,\"Eduardo Falla Solano\",\"San Vincente De Caguan\",\"Colombia\",\"SVI\",\"SKSV\",2.152175,-74.76635,920,-5,\"U\",\"America/Bogota\"\n", + "2751,\"Tame\",\"Tame\",\"Colombia\",\"TME\",\"SKTM\",6.451081,-71.760261,1050,-5,\"U\",\"America/Bogota\"\n", + "2752,\"Santiago Perez\",\"Arauca\",\"Colombia\",\"AUC\",\"SKUC\",7.068881,-70.736925,420,-5,\"U\",\"America/Bogota\"\n", + "2753,\"El Carano\",\"Quibdo\",\"Colombia\",\"UIB\",\"SKUI\",5.690758,-76.641181,204,-5,\"U\",\"America/Bogota\"\n", + "2754,\"Farfan\",\"Tulua\",\"Colombia\",\"ULQ\",\"SKUL\",4.088358,-76.235133,3132,-5,\"U\",\"America/Bogota\"\n", + "2755,\"Alfonso Lopez Pumarejo\",\"Valledupar\",\"Colombia\",\"VUP\",\"SKVP\",10.435042,-73.249506,456,-5,\"U\",\"America/Bogota\"\n", + "2756,\"Vanguardia\",\"Villavicencio\",\"Colombia\",\"VVC\",\"SKVV\",4.167875,-73.613761,1394,-5,\"U\",\"America/Bogota\"\n", + "2758,\"Bermejo\",\"Bermejo\",\"Bolivia\",\"BJO\",\"SLBJ\",-22.773336,-64.312881,1250,-4,\"U\",\"America/La_Paz\"\n", + "2759,\"Jorge Wilsterman\",\"Cochabamba\",\"Bolivia\",\"CBB\",\"SLCB\",-17.421058,-66.177114,8360,-4,\"U\",\"America/La_Paz\"\n", + "2760,\"Chimore\",\"Chapacura\",\"Bolivia\",\"\",\"SLCH\",-16.990019,-65.141533,1000,-4,\"U\",\"America/La_Paz\"\n", + "2761,\"Heroes Del Acre\",\"Cobija\",\"Bolivia\",\"CIJ\",\"SLCO\",-11.040436,-68.782972,892,-4,\"U\",\"America/La_Paz\"\n", + "2762,\"El Alto Intl\",\"La Paz\",\"Bolivia\",\"LPB\",\"SLLP\",-16.513339,-68.192256,13325,-4,\"U\",\"America/La_Paz\"\n", + "2763,\"Juan Mendoza\",\"Oruro\",\"Bolivia\",\"\",\"SLOR\",-17.962589,-67.076236,12146,-4,\"U\",\"America/La_Paz\"\n", + "2764,\"Capitan Nicolas Rojas\",\"Potosi\",\"Bolivia\",\"POI\",\"SLPO\",-19.543069,-65.723706,12913,-4,\"U\",\"America/La_Paz\"\n", + "2765,\"Tte De Av Salvador Ogaya G\",\"Puerto Suarez\",\"Bolivia\",\"PSZ\",\"SLPS\",-18.975281,-57.820586,439,-4,\"U\",\"America/La_Paz\"\n", + "2766,\"Santa Ana Del Yacuma\",\"Santa Ana\",\"Bolivia\",\"\",\"SLSA\",-13.762208,-65.435158,472,-4,\"U\",\"America/La_Paz\"\n", + "2767,\"Juana Azurduy De Padilla\",\"Sucre\",\"Bolivia\",\"SRE\",\"SLSU\",-19.007083,-65.288747,9527,-4,\"U\",\"America/La_Paz\"\n", + "2768,\"Capitan Oriel Lea Plaza\",\"Tarija\",\"Bolivia\",\"TJA\",\"SLTJ\",-21.555736,-64.701325,6084,-4,\"U\",\"America/La_Paz\"\n", + "2769,\"Tte Av Jorge Henrich Arauz\",\"Trinidad\",\"Bolivia\",\"TDD\",\"SLTR\",-14.818739,-64.918019,509,-4,\"U\",\"America/La_Paz\"\n", + "2770,\"Tcnl Rafael Pabon\",\"Villa Montes\",\"Bolivia\",\"\",\"SLVM\",-21.255231,-63.405611,1306,-4,\"U\",\"America/La_Paz\"\n", + "2771,\"Viru Viru Intl\",\"Santa Cruz\",\"Bolivia\",\"VVI\",\"SLVR\",-17.644756,-63.135364,1225,-4,\"U\",\"America/La_Paz\"\n", + "2772,\"Yacuiba\",\"Yacuiba\",\"Bolivia\",\"BYC\",\"SLYA\",-21.960925,-63.651669,2116,-4,\"U\",\"America/La_Paz\"\n", + "2773,\"Johan A Pengel Intl\",\"Zandery\",\"Suriname\",\"PBM\",\"SMJP\",5.452831,-55.187783,59,-3,\"U\",\"America/Paramaribo\"\n", + "2774,\"Rochambeau\",\"Cayenne\",\"French Guiana\",\"CAY\",\"SOCA\",4.819808,-52.360447,26,-3,\"U\",\"America/Cayenne\"\n", + "2775,\"St Georges De L Oyapock\",\"St.-georges Oyapock\",\"French Guiana\",\"\",\"SOOG\",3.8976,-51.804083,46,-3,\"U\",\"America/Cayenne\"\n", + "2776,\"Huancabamba\",\"Huancabamba\",\"Peru\",\"\",\"SPAB\",-5.256767,-79.442856,6312,-5,\"U\",\"America/Lima\"\n", + "2777,\"Alferez Vladimir Sara Bauer\",\"Andoas\",\"Peru\",\"\",\"SPAS\",-2.796128,-76.466617,728,-5,\"U\",\"America/Lima\"\n", + "2778,\"Atalaya\",\"Atalaya\",\"Peru\",\"\",\"SPAY\",-10.729117,-73.766503,751,-5,\"U\",\"America/Lima\"\n", + "6845,\"Seward Airport\",\"Seward\",\"United States\",\"SWD\",\\N,60.1269383,-149.4188122,22,-9,\"U\",\"America/Anchorage\"\n", + "2780,\"Iberia\",\"Iberia\",\"Peru\",\"\",\"SPBR\",-11.411578,-69.488711,750,-5,\"U\",\"America/Lima\"\n", + "2781,\"Cap Fap David Abenzur Rengifo Intl\",\"Pucallpa\",\"Peru\",\"PCL\",\"SPCL\",-8.377939,-74.574297,513,-5,\"U\",\"America/Lima\"\n", + "2782,\"Teniente Jaime A De Montreuil Morales\",\"Chimbote\",\"Peru\",\"CHM\",\"SPEO\",-9.149614,-78.52385,69,-5,\"U\",\"America/Lima\"\n", + "2783,\"Puerto Esperanza\",\"Puerto Esperanza\",\"Peru\",\"\",\"SPEP\",-9.768131,-70.706456,725,-5,\"U\",\"America/Lima\"\n", + "2784,\"Cesar Torke Podesta\",\"Moquegua\",\"Peru\",\"\",\"SPEQ\",-17.178961,-70.930803,4480,-5,\"U\",\"America/Lima\"\n", + "2785,\"Capt Jose A Quinones Gonzales Intl\",\"Chiclayo\",\"Peru\",\"CIX\",\"SPHI\",-6.787475,-79.828097,97,-5,\"U\",\"America/Lima\"\n", + "2786,\"Coronel Fap Alfredo Mendivil Duarte\",\"Ayacucho\",\"Peru\",\"AYP\",\"SPHO\",-13.154819,-74.204417,8917,-5,\"U\",\"America/Lima\"\n", + "2787,\"Andahuaylas\",\"Andahuaylas\",\"Peru\",\"ANS\",\"SPHY\",-13.706408,-73.350378,11300,-5,\"U\",\"America/Lima\"\n", + "2788,\"Comandante Fap German Arias Graziani\",\"Anta\",\"Peru\",\"ATA\",\"SPHZ\",-9.347444,-77.598392,9097,-5,\"U\",\"America/Lima\"\n", + "2789,\"Jorge Chavez Intl\",\"Lima\",\"Peru\",\"LIM\",\"SPIM\",-12.021889,-77.114319,113,-5,\"U\",\"America/Lima\"\n", + "2790,\"Juanjui\",\"Juanjui\",\"Peru\",\"JJI\",\"SPJI\",-7.1691,-76.728561,1148,-5,\"U\",\"America/Lima\"\n", + "2791,\"Francisco Carle\",\"Jauja\",\"Peru\",\"\",\"SPJJ\",-11.783144,-75.473394,11034,-5,\"U\",\"America/Lima\"\n", + "2792,\"Juliaca\",\"Juliaca\",\"Peru\",\"JUL\",\"SPJL\",-15.467103,-70.158169,12552,-5,\"U\",\"America/Lima\"\n", + "6844,\"Michigan City Municipal Airport\",\"Michigan City\",\"United States\",\"MGC\",\"KMGC\",41.7033,-86.8211,500,-6,\"A\",\"America/Chicago\"\n", + "2794,\"Ilo\",\"Ilo\",\"Peru\",\"\",\"SPLO\",-17.695036,-71.343964,72,-5,\"U\",\"America/Lima\"\n", + "2795,\"Las Palmas\",\"Las Palmas\",\"Peru\",\"\",\"SPLP\",-12.160708,-76.998942,250,-5,\"U\",\"America/Lima\"\n", + "2796,\"Pedro Canga\",\"Tumbes\",\"Peru\",\"TBP\",\"SPME\",-3.552528,-80.381356,115,-5,\"U\",\"America/Lima\"\n", + "2797,\"Moises Benzaquen Rengifo\",\"Yurimaguas\",\"Peru\",\"YMS\",\"SPMS\",-5.893772,-76.118211,587,-5,\"U\",\"America/Lima\"\n", + "2799,\"Collique\",\"Collique\",\"Peru\",\"\",\"SPOL\",-11.9287,-77.061139,410,-5,\"U\",\"America/Lima\"\n", + "2800,\"Chachapoyas\",\"Chachapoyas\",\"Peru\",\"CHH\",\"SPPY\",-6.201806,-77.856064,8333,-5,\"U\",\"America/Lima\"\n", + "2801,\"Coronel Francisco Secada Vignetta Intl\",\"Iquitos\",\"Peru\",\"IQT\",\"SPQT\",-3.784739,-73.308806,306,-5,\"U\",\"America/Lima\"\n", + "2802,\"Rodriguez Ballon\",\"Arequipa\",\"Peru\",\"AQP\",\"SPQU\",-16.341072,-71.583083,8405,-5,\"U\",\"America/Lima\"\n", + "2803,\"San Ramon\",\"San Ramon\",\"Peru\",\"\",\"SPRM\",-11.128639,-75.3505,2600,-5,\"U\",\"America/Lima\"\n", + "2804,\"Capitan Carlos Martinez De Pinillos\",\"Trujillo\",\"Peru\",\"TRU\",\"SPRU\",-8.081411,-79.108761,106,-5,\"U\",\"America/Lima\"\n", + "2805,\"Pisco Intl\",\"Pisco\",\"Peru\",\"PIO\",\"SPSO\",-13.744864,-76.220284,39,-5,\"U\",\"America/Lima\"\n", + "2806,\"Cadete Guillermo Del Castillo Paredes\",\"Tarapoto\",\"Peru\",\"TPP\",\"SPST\",-6.508742,-76.373247,869,-5,\"U\",\"America/Lima\"\n", + "2807,\"Coronel Carlos Ciriani Santa Rosa Intl\",\"Tacna\",\"Peru\",\"TCQ\",\"SPTN\",-18.053333,-70.275833,1538,-5,\"U\",\"America/Lima\"\n", + "2808,\"Padre Aldamiz\",\"Puerto Maldonado\",\"Peru\",\"PEM\",\"SPTU\",-12.613611,-69.228611,659,-5,\"U\",\"America/Lima\"\n", + "2809,\"Capitan Fap Guillermo Concha Iberico\",\"Piura\",\"Peru\",\"PIU\",\"SPUR\",-5.20575,-80.616444,120,-5,\"U\",\"America/Lima\"\n", + "2810,\"Capitan Montes\",\"Talara\",\"Peru\",\"TYL\",\"SPYL\",-4.576639,-81.254139,282,-5,\"U\",\"America/Lima\"\n", + "6843,\"Niijima Airport\",\"Niijima\",\"Japan\",\"\",\"RJAN\",34.366944,139.268611,133,9,\"N\",\"Asia/Tokyo\"\n", + "2812,\"Teniente Alejandro Velasco Astete Intl\",\"Cuzco\",\"Peru\",\"CUZ\",\"SPZO\",-13.535722,-71.938781,10860,-5,\"U\",\"America/Lima\"\n", + "2813,\"Angel S Adami\",\"Montevideo\",\"Uruguay\",\"\",\"SUAA\",-34.789208,-56.264703,174,-3,\"S\",\"America/Montevideo\"\n", + "2814,\"Santa Bernardina Intl\",\"Durazno\",\"Uruguay\",\"\",\"SUDU\",-33.358867,-56.499172,305,-3,\"S\",\"America/Montevideo\"\n", + "6842,\"East Glacier Park Amtrak Station\",\"East Glacier\",\"United States\",\"\",\\N,48.443965,-113.218556,5171,-7,\"A\",\"America/Denver\"\n", + "2816,\"Carrasco Intl\",\"Montevideo\",\"Uruguay\",\"MVD\",\"SUMU\",-34.838417,-56.030806,105,-3,\"S\",\"America/Montevideo\"\n", + "2817,\"Nueva Hesperides Intl\",\"Salto\",\"Uruguay\",\"STY\",\"SUSO\",-31.438481,-57.985294,187,-3,\"S\",\"America/Montevideo\"\n", + "2818,\"Oswaldo Guevara Mujica\",\"Acarigua\",\"Venezuela\",\"AGV\",\"SVAC\",9.553422,-69.237536,741,-4.5,\"U\",\"America/Caracas\"\n", + "2819,\"Anaco\",\"Anaco\",\"Venezuela\",\"AAO\",\"SVAN\",9.430225,-64.470725,721,-4.5,\"U\",\"America/Caracas\"\n", + "2820,\"San Fernando De Atabapo\",\"San Fernando Deatabapo\",\"Venezuela\",\"\",\"SVAT\",4.051819,-67.701072,298,-4.5,\"U\",\"America/Caracas\"\n", + "2821,\"General Jose Antonio Anzoategui Intl\",\"Barcelona\",\"Venezuela\",\"BLA\",\"SVBC\",10.107139,-64.689161,26,-4.5,\"U\",\"America/Caracas\"\n", + "2822,\"Barinas\",\"Barinas\",\"Venezuela\",\"BNS\",\"SVBI\",8.619575,-70.220825,666,-4.5,\"U\",\"America/Caracas\"\n", + "2823,\"El Libertador Ab\",\"Maracaibo\",\"Venezuela\",\"\",\"SVBL\",10.183375,-67.557319,1450,-4.5,\"U\",\"America/Caracas\"\n", + "2824,\"Barquisimeto Intl\",\"Barquisimeto\",\"Venezuela\",\"BRM\",\"SVBM\",10.042747,-69.358619,2042,-4.5,\"U\",\"America/Caracas\"\n", + "2826,\"Ciudad Bolivar\",\"Ciudad Bolivar\",\"Venezuela\",\"CBL\",\"SVCB\",8.121898,-63.537353,197,-4.5,\"U\",\"America/Caracas\"\n", + "2827,\"Caicara Del Orinoco\",\"Caicara De Orinoco\",\"Venezuela\",\"\",\"SVCD\",7.626078,-66.164917,141,-4.5,\"U\",\"America/Caracas\"\n", + "2828,\"San Carlos\",\"San Carlos\",\"Venezuela\",\"\",\"SVCJ\",9.647722,-68.574656,512,-4.5,\"U\",\"America/Caracas\"\n", + "2829,\"Calabozo\",\"Calabozo\",\"Venezuela\",\"\",\"SVCL\",8.924656,-67.417094,328,-4.5,\"U\",\"America/Caracas\"\n", + "2830,\"Canaima\",\"Canaima\",\"Venezuela\",\"CAJ\",\"SVCN\",6.231989,-62.854433,1450,-4.5,\"U\",\"America/Caracas\"\n", + "2831,\"Carora\",\"Carora\",\"Venezuela\",\"\",\"SVCO\",10.175603,-70.065214,1437,-4.5,\"U\",\"America/Caracas\"\n", + "2832,\"General Jose Francisco Bermudez\",\"Carupano\",\"Venezuela\",\"CUP\",\"SVCP\",10.660014,-63.261681,33,-4.5,\"U\",\"America/Caracas\"\n", + "2833,\"Jose Leonardo Chirinos\",\"Coro\",\"Venezuela\",\"CZE\",\"SVCR\",11.414867,-69.681656,52,-4.5,\"U\",\"America/Caracas\"\n", + "2834,\"Oscar Machado Zuloaga\",\"Caracas\",\"Venezuela\",\"\",\"SVCS\",10.286589,-66.816219,2145,-4.5,\"U\",\"America/Caracas\"\n", + "2835,\"Antonio Jose De Sucre\",\"Cumana\",\"Venezuela\",\"CUM\",\"SVCU\",10.450333,-64.130472,25,-4.5,\"U\",\"America/Caracas\"\n", + "2836,\"Capitan Manuel Rios Guarico Airbase\",\"Carrizal\",\"Venezuela\",\"\",\"SVCZ\",9.372167,-66.922989,525,-4.5,\"U\",\"America/Caracas\"\n", + "2837,\"El Dorado\",\"El Dorado\",\"Venezuela\",\"\",\"SVED\",6.715438,-61.639219,318,-4.5,\"U\",\"America/Caracas\"\n", + "2838,\"Elorza\",\"Elorza\",\"Venezuela\",\"\",\"SVEZ\",7.059722,-69.496694,295,-4.5,\"U\",\"America/Caracas\"\n", + "2839,\"Guasdualito\",\"Guasdualito\",\"Venezuela\",\"\",\"SVGD\",7.211081,-70.75645,426,-4.5,\"U\",\"America/Caracas\"\n", + "2840,\"Guiria\",\"Guiria\",\"Venezuela\",\"GUI\",\"SVGI\",10.574078,-62.312667,42,-4.5,\"U\",\"America/Caracas\"\n", + "2841,\"Guanare\",\"Guanare\",\"Venezuela\",\"GUQ\",\"SVGU\",9.026944,-69.75515,606,-4.5,\"U\",\"America/Caracas\"\n", + "2842,\"Higuerote\",\"Higuerote\",\"Venezuela\",\"\",\"SVHG\",10.462453,-66.092758,10,-4.5,\"U\",\"America/Caracas\"\n", + "2843,\"Andres Miguel Salazar Marcano\",\"Isla De Coche\",\"Venezuela\",\"\",\"SVIE\",10.794406,-63.981589,10,-4.5,\"U\",\"America/Caracas\"\n", + "2844,\"Josefa Camejo\",\"Paraguana\",\"Venezuela\",\"LSP\",\"SVJC\",11.780775,-70.151497,75,-4.5,\"U\",\"America/Caracas\"\n", + "2845,\"San Juan De Los Morros\",\"San Juan De Los Morros\",\"Venezuela\",\"\",\"SVJM\",9.906953,-67.379639,1404,-4.5,\"U\",\"America/Caracas\"\n", + "2846,\"La Fria\",\"La Fria\",\"Venezuela\",\"LFR\",\"SVLF\",8.239167,-72.271028,323,-4.5,\"U\",\"America/Caracas\"\n", + "2847,\"La Orchila\",\"La Orchila\",\"Venezuela\",\"\",\"SVLO\",11.808822,-66.179214,5,-4.5,\"U\",\"America/Caracas\"\n", + "2848,\"La Chinita Intl\",\"Maracaibo\",\"Venezuela\",\"MAR\",\"SVMC\",10.558208,-71.727856,235,-4.5,\"U\",\"America/Caracas\"\n", + "2849,\"Alberto Carnevalli\",\"Merida\",\"Venezuela\",\"MRD\",\"SVMD\",8.582294,-71.161186,5007,-4.5,\"U\",\"America/Caracas\"\n", + "2850,\"Del Caribe Intl Gen Santiago Marino\",\"Porlamar\",\"Venezuela\",\"PMV\",\"SVMG\",10.912926,-63.967581,74,-4.5,\"U\",\"America/Caracas\"\n", + "2851,\"Simon Bolivar Intl\",\"Caracas\",\"Venezuela\",\"CCS\",\"SVMI\",10.603117,-66.990583,235,-4.5,\"U\",\"America/Caracas\"\n", + "2852,\"Maturin\",\"Maturin\",\"Venezuela\",\"MUN\",\"SVMT\",9.749067,-63.1534,224,-4.5,\"U\",\"America/Caracas\"\n", + "2853,\"Casique Aramare\",\"Puerto Ayacucho\",\"Venezuela\",\"PYH\",\"SVPA\",5.619992,-67.606103,245,-4.5,\"U\",\"America/Caracas\"\n", + "2854,\"General Bartolome Salom Intl\",\"Puerto Cabello\",\"Venezuela\",\"PBL\",\"SVPC\",10.4805,-68.073025,32,-4.5,\"U\",\"America/Caracas\"\n", + "2855,\"Paramillo\",\"San Cristobal\",\"Venezuela\",\"\",\"SVPM\",7.801317,-72.202847,3314,-4.5,\"U\",\"America/Caracas\"\n", + "2856,\"General Manuel Carlos Piar\",\"Guayana\",\"Venezuela\",\"PZO\",\"SVPR\",8.288528,-62.760361,472,-4.5,\"U\",\"America/Caracas\"\n", + "2857,\"Palmarito\",\"Palmarito\",\"Venezuela\",\"\",\"SVPT\",7.575706,-70.174328,347,-4.5,\"U\",\"America/Caracas\"\n", + "2858,\"San Antonio Del Tachira\",\"San Antonio\",\"Venezuela\",\"SVZ\",\"SVSA\",7.840831,-72.439742,1312,-4.5,\"U\",\"America/Caracas\"\n", + "2859,\"Santa Barbara De Barinas\",\"Santa Barbara\",\"Venezuela\",\"\",\"SVSB\",7.803514,-71.165717,590,-4.5,\"U\",\"America/Caracas\"\n", + "2860,\"Santa Elena De Uairen\",\"Santa Ana De Uairen\",\"Venezuela\",\"\",\"SVSE\",4.554722,-61.144922,2939,-4.5,\"U\",\"America/Caracas\"\n", + "2861,\"Mayor Buenaventura Vivas\",\"Santo Domingo\",\"Venezuela\",\"STD\",\"SVSO\",7.565111,-72.035125,1083,-4.5,\"U\",\"America/Caracas\"\n", + "2862,\"Sub Teniente Nestor Arias\",\"San Felipe\",\"Venezuela\",\"SFH\",\"SVSP\",10.278728,-68.755211,761,-4.5,\"U\",\"America/Caracas\"\n", + "2863,\"San Fernando De Apure\",\"San Fernando De Apure\",\"Venezuela\",\"SFD\",\"SVSR\",7.883317,-67.444025,154,-4.5,\"U\",\"America/Caracas\"\n", + "2864,\"San Tome\",\"San Tome\",\"Venezuela\",\"SOM\",\"SVST\",8.945147,-64.151083,837,-4.5,\"U\",\"America/Caracas\"\n", + "2865,\"Santa Barbara Del Zulia\",\"Santa Barbara\",\"Venezuela\",\"STB\",\"SVSZ\",8.974425,-71.943014,32,-4.5,\"U\",\"America/Caracas\"\n", + "2866,\"Tucupita\",\"Tucupita\",\"Venezuela\",\"TUV\",\"SVTC\",9.088994,-62.094175,105,-4.5,\"U\",\"America/Caracas\"\n", + "2867,\"Tumeremo\",\"Tumeremo\",\"Venezuela\",\"\",\"SVTM\",7.249381,-61.528933,344,-4.5,\"U\",\"America/Caracas\"\n", + "2868,\"Arturo Michelena Intl\",\"Valencia\",\"Venezuela\",\"VLN\",\"SVVA\",10.149733,-67.9284,1417,-4.5,\"U\",\"America/Caracas\"\n", + "6841,\"Flugplatz Hoexter Holzminden\",\"Hoexter Holzminden\",\"Germany\",\"\",\"EDVI\",51.4838,9.2259,855,1,\"E\",\"Europe/Berlin\"\n", + "2870,\"Dr Antonio Nicolas Briceno\",\"Valera\",\"Venezuela\",\"VLV\",\"SVVL\",9.340797,-70.584089,1893,-4.5,\"U\",\"America/Caracas\"\n", + "2871,\"Valle De La Pascua\",\"Valle De La Pascua\",\"Venezuela\",\"VDP\",\"SVVP\",9.222028,-65.993583,410,-4.5,\"U\",\"America/Caracas\"\n", + "2872,\"Linden\",\"Linden\",\"Guyana\",\"\",\"SYLD\",5.965922,-58.270336,180,-4,\"U\",\"America/Guyana\"\n", + "2873,\"Lethem\",\"Lethem\",\"Guyana\",\"LTM\",\"SYLT\",3.372761,-59.789439,351,-4,\"U\",\"America/Guyana\"\n", + "2874,\"V C Bird Intl\",\"Antigua\",\"Antigua and Barbuda\",\"ANU\",\"TAPA\",17.136749,-61.792667,62,-4,\"U\",\"America/Antigua\"\n", + "2875,\"Grantley Adams Intl\",\"Bridgetown\",\"Barbados\",\"BGI\",\"TBPB\",13.074603,-59.492456,169,-4,\"U\",\"America/Barbados\"\n", + "2876,\"Canefield\",\"Canefield\",\"Dominica\",\"DCF\",\"TDCF\",15.336719,-61.392211,13,-4,\"U\",\"America/Dominica\"\n", + "2877,\"Melville Hall\",\"Dominica\",\"Dominica\",\"DOM\",\"TDPD\",15.547028,-61.3,73,-4,\"U\",\"America/Dominica\"\n", + "2878,\"Le Lamentin\",\"Fort-de-france\",\"Martinique\",\"FDF\",\"TFFF\",14.591033,-61.003175,16,-4,\"U\",\"America/Martinique\"\n", + "2879,\"Grand Case\",\"St. Martin\",\"Guadeloupe\",\"SFG\",\"TFFG\",18.099914,-63.047197,7,-4,\"U\",\\N\n", + "2881,\"Le Raizet\",\"Pointe-a-pitre\",\"Guadeloupe\",\"PTP\",\"TFFR\",16.265306,-61.531806,36,-4,\"U\",\"America/Guadeloupe\"\n", + "2882,\"Point Salines Intl\",\"Point Salines\",\"Grenada\",\"GND\",\"TGPY\",12.004247,-61.786192,41,-4,\"U\",\"America/Grenada\"\n", + "2883,\"Cyril E King\",\"St. Thomas\",\"Virgin Islands\",\"STT\",\"TIST\",18.337306,-64.973361,23,-4,\"U\",\"America/St_Thomas\"\n", + "2884,\"Henry E Rohlsen\",\"St. Croix Island\",\"Virgin Islands\",\"STX\",\"TISX\",17.701889,-64.798556,74,-4,\"U\",\"America/St_Thomas\"\n", + "2885,\"Rafael Hernandez\",\"Aguadilla\",\"Puerto Rico\",\"BQN\",\"TJBQ\",18.494861,-67.129444,237,-4,\"U\",\"America/Puerto_Rico\"\n", + "2886,\"Diego Jimenez Torres\",\"Fajardo\",\"Puerto Rico\",\"FAJ\",\"TJFA\",18.308889,-65.661861,64,-4,\"U\",\"America/Puerto_Rico\"\n", + "2887,\"Fernando Luis Ribas Dominicci\",\"San Juan\",\"Puerto Rico\",\"SIG\",\"TJIG\",18.456828,-66.098139,10,-4,\"U\",\"America/Puerto_Rico\"\n", + "2888,\"Eugenio Maria De Hostos\",\"Mayaguez\",\"Puerto Rico\",\"MAZ\",\"TJMZ\",18.255694,-67.148472,28,-4,\"U\",\"America/Puerto_Rico\"\n", + "2889,\"Mercedita\",\"Ponce\",\"Puerto Rico\",\"PSE\",\"TJPS\",18.008306,-66.563028,29,-4,\"U\",\"America/Puerto_Rico\"\n", + "2890,\"Luis Munoz Marin Intl\",\"San Juan\",\"Puerto Rico\",\"SJU\",\"TJSJ\",18.439417,-66.001833,9,-4,\"U\",\"America/Puerto_Rico\"\n", + "2891,\"Robert L Bradshaw\",\"Basse Terre\",\"Saint Kitts and Nevis\",\"SKB\",\"TKPK\",17.311194,-62.718667,170,-4,\"U\",\"America/St_Kitts\"\n", + "6840,\"Dinslaken Schwarze-Heide\",\"Dinslaken\",\"Germany\",\"\",\"EDLD\",51.3659,6.5155,198,1,\"E\",\"Europe/Berlin\"\n", + "2893,\"George F L Charles\",\"Castries\",\"Saint Lucia\",\"SLU\",\"TLPC\",14.020228,-60.992936,22,-4,\"U\",\"America/St_Lucia\"\n", + "2894,\"Hewanorra Intl\",\"Hewandorra\",\"Saint Lucia\",\"UVF\",\"TLPL\",13.733194,-60.952597,14,-4,\"U\",\"America/St_Lucia\"\n", + "2895,\"Reina Beatrix Intl\",\"Oranjestad\",\"Aruba\",\"AUA\",\"TNCA\",12.501389,-70.015221,60,-4,\"U\",\"America/Aruba\"\n", + "2896,\"Flamingo\",\"Kralendijk\",\"Netherlands Antilles\",\"BON\",\"TNCB\",12.131044,-68.268511,20,-4,\"U\",\"America/Curacao\"\n", + "2897,\"Hato\",\"Willemstad\",\"Netherlands Antilles\",\"CUR\",\"TNCC\",12.188853,-68.959803,29,-4,\"U\",\"America/Curacao\"\n", + "2898,\"F D Roosevelt\",\"Oranjestad\",\"Netherlands Antilles\",\"EUX\",\"TNCE\",17.496492,-62.979439,129,-4,\"U\",\"America/Curacao\"\n", + "2899,\"Princess Juliana Intl\",\"Philipsburg\",\"Netherlands Antilles\",\"SXM\",\"TNCM\",18.040953,-63.1089,14,-4,\"U\",\"America/Curacao\"\n", + "2900,\"Wallblake\",\"The Valley\",\"Anguilla\",\"AXA\",\"TQPF\",18.204834,-63.055084,127,-4,\"U\",\"America/Anguilla\"\n", + "2901,\"Crown Point\",\"Scarborough\",\"Trinidad and Tobago\",\"TAB\",\"TTCP\",11.149658,-60.832194,38,-4,\"U\",\"America/Port_of_Spain\"\n", + "2902,\"Piarco\",\"Port-of-spain\",\"Trinidad and Tobago\",\"POS\",\"TTPP\",10.595369,-61.337242,58,-4,\"U\",\"America/Port_of_Spain\"\n", + "2903,\"Terrance B Lettsome Intl\",\"Tortola\",\"British Virgin Islands\",\"EIS\",\"TUPJ\",18.444834,-64.542975,15,-4,\"U\",\"America/Tortola\"\n", + "6839,\"Allakaket Airport\",\"Allakaket\",\"United States\",\"AET\",\"PFAL\",66.5519,-152.6222,441,-9,\"A\",\"America/Anchorage\"\n", + "2905,\"Canouan\",\"Canouan Island\",\"Saint Vincent and the Grenadines\",\"CIW\",\"TVSC\",12.699042,-61.342431,11,-4,\"U\",\"America/St_Vincent\"\n", + "2906,\"Mustique\",\"Mustique\",\"Saint Vincent and the Grenadines\",\"MQS\",\"TVSM\",12.887947,-61.180161,8,-4,\"U\",\"America/St_Vincent\"\n", + "2907,\"E T Joshua\",\"Kingstown\",\"Saint Vincent and the Grenadines\",\"SVD\",\"TVSV\",13.144306,-61.210861,66,-4,\"U\",\"America/St_Vincent\"\n", + "2908,\"Almaty\",\"Alma-ata\",\"Kazakhstan\",\"ALA\",\"UAAA\",43.352072,77.040508,2234,6,\"U\",\"Asia/Qyzylorda\"\n", + "2909,\"Balkhash\",\"Balkhash\",\"Kazakhstan\",\"\",\"UAAH\",46.893333,75.005,1446,6,\"U\",\"Asia/Qyzylorda\"\n", + "2910,\"Astana Intl\",\"Tselinograd\",\"Kazakhstan\",\"TSE\",\"UACC\",51.022222,71.466944,1165,6,\"U\",\"Asia/Qyzylorda\"\n", + "2911,\"Taraz\",\"Dzhambul\",\"Kazakhstan\",\"DMB\",\"UADD\",42.853611,71.303611,2184,6,\"U\",\"Asia/Qyzylorda\"\n", + "2912,\"Manas\",\"Bishkek\",\"Kyrgyzstan\",\"FRU\",\"UAFM\",43.061306,74.477556,2058,6,\"U\",\"Asia/Bishkek\"\n", + "2913,\"Osh\",\"Osh\",\"Kyrgyzstan\",\"OSS\",\"UAFO\",40.608989,72.793269,2927,6,\"U\",\"Asia/Bishkek\"\n", + "2914,\"Shymkent\",\"Chimkent\",\"Kazakhstan\",\"CIT\",\"UAII\",42.364167,69.478889,1385,6,\"U\",\"Asia/Qyzylorda\"\n", + "6803,\"Yakutat\",\"Yakutat\",\"United States\",\"YAK\",\"PAYA\",59.3012,-139.3937,33,-9,\"A\",\\N\n", + "2916,\"Uralsk\",\"Uralsk\",\"Kazakhstan\",\"URA\",\"UARR\",51.150833,51.543056,125,5,\"U\",\"Asia/Oral\"\n", + "2917,\"Pavlodar\",\"Pavlodar\",\"Kazakhstan\",\"PWQ\",\"UASP\",52.195,77.073889,410,6,\"U\",\"Asia/Qyzylorda\"\n", + "2918,\"Semipalatinsk\",\"Semiplatinsk\",\"Kazakhstan\",\"PLX\",\"UASS\",50.3513,80.2344,761,6,\"U\",\"Asia/Qyzylorda\"\n", + 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Bay\",\"Provideniya Bay\",\"Russia\",\"PVS\",\"UHMD\",64.378139,-173.243306,71,12,\"N\",\"Asia/Magadan\"\n", + "2930,\"Sokol\",\"Magadan\",\"Russia\",\"GDX\",\"UHMM\",59.910989,150.720439,574,12,\"N\",\"Asia/Magadan\"\n", + "2931,\"Pevek\",\"Pevek\",\"Russia\",\"PWE\",\"UHMP\",69.783283,170.597006,11,12,\"N\",\\N\n", + "2932,\"Yelizovo\",\"Petropavlovsk\",\"Russia\",\"PKC\",\"UHPP\",53.167889,158.453669,131,12,\"N\",\"Asia/Magadan\"\n", + "2933,\"Khomutovo\",\"Yuzhno-sakhalinsk\",\"Russia\",\"UUS\",\"UHSS\",46.888672,142.717531,59,11,\"N\",\"Asia/Vladivostok\"\n", + "2934,\"Knevichi\",\"Vladivostok\",\"Russia\",\"VVO\",\"UHWW\",43.398953,132.148017,46,11,\"N\",\"Asia/Vladivostok\"\n", + "2935,\"Kadala\",\"Chita\",\"Russia\",\"HTA\",\"UIAA\",52.026317,113.305556,2272,10,\"N\",\"Asia/Yakutsk\"\n", + "2936,\"Bratsk\",\"Bratsk\",\"Russia\",\"BTK\",\"UIBB\",56.370556,101.698331,1610,9,\"N\",\"Asia/Irkutsk\"\n", + 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"3101,\"Kanpur\",\"Kanpur\",\"India\",\"KNU\",\"VIKA\",26.441444,80.364864,411,5.5,\"N\",\"Asia/Calcutta\"\n", + "3102,\"Kota\",\"Kota\",\"India\",\"KTU\",\"VIKO\",25.160219,75.845631,896,5.5,\"N\",\"Asia/Calcutta\"\n", + "3103,\"Ludhiana\",\"Ludhiaha\",\"India\",\"LUH\",\"VILD\",30.854681,75.952592,834,5.5,\"N\",\"Asia/Calcutta\"\n", + "3104,\"Leh\",\"Leh\",\"India\",\"IXL\",\"VILH\",34.135872,77.546514,10682,5.5,\"N\",\"Asia/Calcutta\"\n", + "3105,\"Lucknow\",\"Lucknow\",\"India\",\"LKO\",\"VILK\",26.760594,80.889339,410,5.5,\"N\",\"Asia/Calcutta\"\n", + "3106,\"Pathankot\",\"Pathankot\",\"India\",\"IXP\",\"VIPK\",32.233778,75.634628,1017,5.5,\"N\",\"Asia/Calcutta\"\n", + "3107,\"Patiala\",\"Patiala\",\"India\",\"\",\"VIPL\",30.314847,76.364469,820,5.5,\"N\",\"Asia/Calcutta\"\n", + "3108,\"Pantnagar\",\"Nainital\",\"India\",\"PGH\",\"VIPT\",29.033408,79.473744,769,5.5,\"N\",\"Asia/Calcutta\"\n", + "3109,\"Fursatganj\",\"Raibarelli\",\"India\",\"\",\"VIRB\",26.248489,81.380506,360,5.5,\"N\",\"Asia/Calcutta\"\n", + "3111,\"Sarsawa\",\"Saharanpur\",\"India\",\"\",\"VISP\",29.993919,77.425311,891,5.5,\"N\",\"Asia/Calcutta\"\n", + "3112,\"Srinagar\",\"Srinagar\",\"India\",\"SXR\",\"VISR\",33.987139,74.77425,5429,5.5,\"N\",\"Asia/Calcutta\"\n", + "3113,\"Satna\",\"Satna\",\"India\",\"TNI\",\"VIST\",24.562319,80.854933,1060,5.5,\"N\",\"Asia/Calcutta\"\n", + "6495,\"Balkhash Airport\",\"Balkhash\",\"Kazakhstan\",\"BXH\",\\N,46.8933,75.005,1446,6,\"E\",\"Asia/Qyzylorda\"\n", + "3115,\"Luang Phabang Intl\",\"Luang Prabang\",\"Laos\",\"LPQ\",\"VLLB\",19.897914,102.160764,955,7,\"U\",\"Asia/Vientiane\"\n", + "3116,\"Pakse\",\"Pakse\",\"Laos\",\"PKZ\",\"VLPS\",15.132053,105.781417,351,7,\"U\",\"Asia/Vientiane\"\n", + "3117,\"Phonesavanh\",\"Phong Savanh\",\"Laos\",\"\",\"VLPV\",19.454864,103.218208,3628,7,\"U\",\"Asia/Vientiane\"\n", + "3118,\"Savannakhet\",\"Savannakhet\",\"Laos\",\"ZVK\",\"VLSK\",16.556594,104.759531,509,7,\"U\",\"Asia/Vientiane\"\n", + "3119,\"Sam Neua\",\"Sam Neua\",\"Laos\",\"\",\"VLSN\",20.418358,104.066583,3281,7,\"U\",\"Asia/Vientiane\"\n", + "3120,\"Wattay Intl\",\"Vientiane\",\"Laos\",\"VTE\",\"VLVT\",17.988322,102.563256,564,7,\"U\",\"Asia/Vientiane\"\n", + "3121,\"Macau Intl\",\"Macau\",\"Macau\",\"MFM\",\"VMMC\",22.149556,113.591558,20,8,\"U\",\"Asia/Macau\"\n", + "3122,\"Bhairahawa\",\"Bhairawa\",\"Nepal\",\"BWA\",\"VNBW\",27.505703,83.41625,358,5.75,\"N\",\"Asia/Katmandu\"\n", + "6831,\"Nastaetten\",\"Nastaetten\",\"Germany\",\"\",\\N,50.1972,7.8916,600,1,\"E\",\"Europe/Berlin\"\n", + "3124,\"Janakpur\",\"Janakpur\",\"Nepal\",\"\",\"VNJP\",26.708806,85.922394,256,5.75,\"N\",\"Asia/Katmandu\"\n", + "3125,\"Tribhuvan Intl\",\"Kathmandu\",\"Nepal\",\"KTM\",\"VNKT\",27.696583,85.3591,4390,5.75,\"N\",\"Asia/Katmandu\"\n", + "3127,\"Pokhara\",\"Pokhara\",\"Nepal\",\"PKR\",\"VNPK\",28.200881,83.982056,2712,5.75,\"N\",\"Asia/Katmandu\"\n", + "3128,\"Simara\",\"Simara\",\"Nepal\",\"SIF\",\"VNSI\",27.159456,84.980122,450,5.75,\"N\",\"Asia/Katmandu\"\n", + "3129,\"Biratnagar\",\"Biratnagar\",\"Nepal\",\"BIR\",\"VNVT\",26.481453,87.264036,236,5.75,\"N\",\"Asia/Katmandu\"\n", + "3130,\"Agatti\",\"Agatti Island\",\"India\",\"AGX\",\"VOAT\",10.823656,72.176042,14,5.5,\"N\",\"Asia/Calcutta\"\n", + "3131,\"Bangalore\",\"Bangalore\",\"India\",\"BLR\",\"VOBL\",12.949986,77.668206,2912,5.5,\"N\",\"Asia/Calcutta\"\n", + "3132,\"Bellary\",\"Bellary\",\"India\",\"BEP\",\"VOBI\",15.162783,76.882775,30,5.5,\"N\",\"Asia/Calcutta\"\n", + "3133,\"Bidar\",\"Bidar\",\"India\",\"\",\"VOBR\",17.908081,77.487142,2178,5.5,\"N\",\"Asia/Calcutta\"\n", + "3134,\"Vijayawada\",\"Vijayawada\",\"India\",\"VGA\",\"VOBZ\",16.530433,80.796847,82,5.5,\"N\",\"Asia/Calcutta\"\n", + "3135,\"Coimbatore\",\"Coimbatore\",\"India\",\"CJB\",\"VOCB\",11.030031,77.043383,1324,5.5,\"N\",\"Asia/Calcutta\"\n", + "3136,\"Cochin\",\"Kochi\",\"India\",\"COK\",\"VOCI\",10.155556,76.391389,8,5.5,\"N\",\"Asia/Calcutta\"\n", + "3137,\"Calicut\",\"Calicut\",\"India\",\"CCJ\",\"VOCL\",11.136839,75.9553,342,5.5,\"N\",\"Asia/Calcutta\"\n", + "3138,\"Cuddapah\",\"Cuddapah\",\"India\",\"CDP\",\"VOCP\",14.509961,78.772833,430,5.5,\"N\",\"Asia/Calcutta\"\n", + "3139,\"Carnicobar\",\"Carnicobar\",\"India\",\"\",\"VOCX\",9.152508,92.819628,5,5.5,\"N\",\"Asia/Calcutta\"\n", + "3140,\"Dundigul\",\"Dundigul\",\"India\",\"\",\"VODG\",17.627178,78.403361,2013,5.5,\"N\",\"Asia/Calcutta\"\n", + "3141,\"Hyderabad\",\"Hyderabad\",\"India\",\"HYD\",\"VOHY\",17.453117,78.467586,1742,5.5,\"N\",\"Asia/Calcutta\"\n", + "3142,\"Madurai\",\"Madurai\",\"India\",\"IXM\",\"VOMD\",9.834508,78.093378,459,5.5,\"N\",\"Asia/Calcutta\"\n", + "3143,\"Mangalore\",\"Mangalore\",\"India\",\"IXE\",\"VOML\",12.961267,74.890069,337,5.5,\"N\",\"Asia/Calcutta\"\n", + "3144,\"Chennai Intl\",\"Madras\",\"India\",\"MAA\",\"VOMM\",12.994414,80.180517,52,5.5,\"N\",\"Asia/Calcutta\"\n", + "3145,\"Nagarjuna Sagar\",\"Nagarjunsagar\",\"India\",\"\",\"VONS\",16.542653,79.318714,658,5.5,\"N\",\"Asia/Calcutta\"\n", + "3146,\"Port Blair\",\"Port Blair\",\"India\",\"IXZ\",\"VOPB\",11.641161,92.729744,14,5.5,\"N\",\"Asia/Calcutta\"\n", + "3147,\"Pondicherry\",\"Pendicherry\",\"India\",\"PNY\",\"VOPC\",11.968722,79.810058,118,5.5,\"N\",\"Asia/Calcutta\"\n", + "3148,\"Rajahmundry\",\"Rajahmundry\",\"India\",\"RJA\",\"VORY\",17.110361,81.818208,151,5.5,\"N\",\"Asia/Calcutta\"\n", + "3149,\"Salem\",\"Salem\",\"India\",\"\",\"VOSM\",11.783314,78.065606,1008,5.5,\"N\",\"Asia/Calcutta\"\n", + "3150,\"Tanjore\",\"Tanjore\",\"India\",\"\",\"VOTJ\",10.722428,79.101567,253,5.5,\"N\",\"Asia/Calcutta\"\n", + "3151,\"Tirupati\",\"Tirupeti\",\"India\",\"TIR\",\"VOTP\",13.632492,79.543256,350,5.5,\"N\",\"Asia/Calcutta\"\n", + "3152,\"Trichy\",\"Tiruchirappalli\",\"India\",\"TRZ\",\"VOTR\",10.765364,78.709722,288,5.5,\"N\",\"Asia/Calcutta\"\n", + "3153,\"Thiruvananthapuram Intl\",\"Trivandrum\",\"India\",\"TRV\",\"VOTV\",8.482122,76.920114,15,5.5,\"N\",\"Asia/Calcutta\"\n", + "3154,\"Tambaram\",\"Tambaram\",\"India\",\"\",\"VOTX\",12.907214,80.121861,90,5.5,\"N\",\"Asia/Calcutta\"\n", + "3155,\"Paro\",\"Thimphu\",\"Bhutan\",\"PBH\",\"VQPR\",27.403192,89.424606,7332,6,\"N\",\"Asia/Thimphu\"\n", + "3156,\"Male Intl\",\"Male\",\"Maldives\",\"MLE\",\"VRMM\",4.191833,73.529128,6,5,\"U\",\"Indian/Maldives\"\n", + "3157,\"Don Muang Intl\",\"Bangkok\",\"Thailand\",\"DMK\",\"VTBD\",13.912583,100.60675,9,7,\"U\",\"Asia/Bangkok\"\n", + "3158,\"Kamphaeng Saen\",\"Nakhon Pathom\",\"Thailand\",\"\",\"VTBK\",14.101975,99.917219,30,7,\"U\",\"Asia/Bangkok\"\n", + "3159,\"Khok Kathiam\",\"Lop Buri\",\"Thailand\",\"\",\"VTBL\",14.874561,100.663367,123,7,\"U\",\"Asia/Bangkok\"\n", + "3886,\"Naha\",\"Naha\",\"Indonesia\",\"NAH\",\"WAMH\",3.683214,125.528019,16,8,\"N\",\"Asia/Makassar\"\n", + "3161,\"U Taphao Intl\",\"Pattaya\",\"Thailand\",\"UTP\",\"VTBU\",12.679944,101.005028,42,7,\"U\",\"Asia/Bangkok\"\n", + "3162,\"Watthana Nakhon\",\"Prachin Buri\",\"Thailand\",\"\",\"VTBW\",13.7688,102.315492,200,7,\"U\",\"Asia/Bangkok\"\n", + "3163,\"Lampang\",\"Lampang\",\"Thailand\",\"LPT\",\"VTCL\",18.270933,99.504167,811,7,\"U\",\"Asia/Bangkok\"\n", + "3164,\"Phrae\",\"Phrae\",\"Thailand\",\"PRH\",\"VTCP\",18.132169,100.164664,538,7,\"U\",\"Asia/Bangkok\"\n", + "3165,\"Hua Hin\",\"Prachuap Khiri Khan\",\"Thailand\",\"HHQ\",\"VTPH\",12.636225,99.951533,62,7,\"U\",\"Asia/Bangkok\"\n", + "3166,\"Takhli\",\"Nakhon Sawan\",\"Thailand\",\"\",\"VTPI\",15.277306,100.295861,107,7,\"U\",\"Asia/Bangkok\"\n", + "3167,\"Sak Long\",\"Phetchabun\",\"Thailand\",\"\",\"VTPL\",16.824322,101.251389,500,7,\"U\",\"Asia/Bangkok\"\n", + "3169,\"Nakhon Sawan\",\"Nakhon Sawan\",\"Thailand\",\"\",\"VTPN\",15.672997,100.136794,113,7,\"U\",\"Asia/Bangkok\"\n", + "3170,\"Phitsanulok\",\"Phitsanulok\",\"Thailand\",\"PHS\",\"VTPP\",16.782939,100.279122,154,7,\"U\",\"Asia/Bangkok\"\n", + "3171,\"Khunan Phumipol\",\"Tak\",\"Thailand\",\"\",\"VTPY\",17.234211,99.057911,492,7,\"U\",\"Asia/Bangkok\"\n", + "3172,\"Khoun Khan\",\"Satun\",\"Thailand\",\"\",\"VTSA\",6.661403,100.080317,18,7,\"U\",\"Asia/Bangkok\"\n", + "3173,\"Narathiwat\",\"Narathiwat\",\"Thailand\",\"NAW\",\"VTSC\",6.519922,101.7434,16,7,\"U\",\"Asia/Bangkok\"\n", + "3174,\"Krabi\",\"Krabi\",\"Thailand\",\"KBV\",\"VTSG\",8.095969,98.988764,93,7,\"U\",\"Asia/Bangkok\"\n", + "3175,\"Songkhla\",\"Songkhla\",\"Thailand\",\"\",\"VTSH\",7.186564,100.608031,12,7,\"U\",\"Asia/Bangkok\"\n", + "3176,\"Pattani\",\"Pattani\",\"Thailand\",\"PAN\",\"VTSK\",6.785458,101.153569,8,7,\"U\",\"Asia/Bangkok\"\n", + "3177,\"Samui\",\"Ko Samui\",\"Thailand\",\"USM\",\"VTSM\",9.547794,100.062272,64,7,\"U\",\"Asia/Bangkok\"\n", + "3178,\"Cha Ian\",\"Nakhon Si Thammarat\",\"Thailand\",\"\",\"VTSN\",8.471147,99.955625,44,7,\"U\",\"Asia/Bangkok\"\n", + "3179,\"Phuket Intl\",\"Phuket\",\"Thailand\",\"HKT\",\"VTSP\",8.1132,98.316872,82,7,\"U\",\"Asia/Bangkok\"\n", + "3180,\"Ranong\",\"Ranong\",\"Thailand\",\"\",\"VTSR\",9.777622,98.585483,57,7,\"U\",\"Asia/Bangkok\"\n", + "3181,\"Hat Yai Intl\",\"Hat Yai\",\"Thailand\",\"HDY\",\"VTSS\",6.933206,100.392975,90,7,\"U\",\"Asia/Bangkok\"\n", + "3182,\"Trang\",\"Trang\",\"Thailand\",\"TST\",\"VTST\",7.508744,99.616578,67,7,\"U\",\"Asia/Bangkok\"\n", + "3183,\"Udon Thani\",\"Udon Thani\",\"Thailand\",\"UTH\",\"VTUD\",17.386436,102.788247,579,7,\"U\",\"Asia/Bangkok\"\n", + "3184,\"Sakon Nakhon\",\"Sakon Nakhon\",\"Thailand\",\"SNO\",\"VTUI\",17.195142,104.118625,529,7,\"U\",\"Asia/Bangkok\"\n", + "3185,\"Surin\",\"Surin\",\"Thailand\",\"\",\"VTUJ\",14.868264,103.498256,478,7,\"U\",\"Asia/Bangkok\"\n", + "3186,\"Loei\",\"Loei\",\"Thailand\",\"LOE\",\"VTUL\",17.439133,101.722064,860,7,\"U\",\"Asia/Bangkok\"\n", + "3187,\"Khorat\",\"Nakhon Ratchasima\",\"Thailand\",\"\",\"VTUN\",14.934514,102.078639,729,7,\"U\",\"Asia/Bangkok\"\n", + "3188,\"Rob Muang\",\"Roi Et\",\"Thailand\",\"\",\"VTUR\",16.07035,103.6459,459,7,\"U\",\"Asia/Bangkok\"\n", + "6830,\"Finsterwalde-Heinrichsruh\",\"Finsterwalde\",\"Germany\",\"\",\"EDAS\",51.6377,13.2419,384,1,\"E\",\"Europe/Berlin\"\n", + "6829,\"Orchid Beach\",\"Fraser Island\",\"Australia\",\"OKB\",\"KOKB\",-24.95841,153.3145,6,10,\"O\",\"Australia/Brisbane\"\n", + "6828,\"Mara Lodges\",\"Mara Lodges\",\"Kenya\",\"\",\\N,-1.183581,35.099931,5600,3,\"U\",\"Africa/Nairobi\"\n", + "3196,\"Danang Intl\",\"Danang\",\"Vietnam\",\"DAD\",\"VVDN\",16.043917,108.19937,33,7,\"U\",\"Asia/Saigon\"\n", + "3197,\"Hanoi Gia Lam\",\"Hanoi\",\"Vietnam\",\"\",\"VVGL\",21.040975,105.886011,50,7,\"U\",\"Asia/Saigon\"\n", + "3198,\"Kep\",\"Kep\",\"Vietnam\",\"\",\"VVKP\",21.394639,106.261083,55,7,\"U\",\"Asia/Saigon\"\n", + "3199,\"Noibai Intl\",\"Hanoi\",\"Vietnam\",\"HAN\",\"VVNB\",21.221192,105.807178,39,7,\"U\",\"Asia/Saigon\"\n", + "3200,\"Nhatrang\",\"Nhatrang\",\"Vietnam\",\"NHA\",\"VVNT\",12.227467,109.192322,20,7,\"U\",\"Asia/Saigon\"\n", + "3201,\"Phubai\",\"Hue\",\"Vietnam\",\"\",\"VVPB\",16.4015,107.702614,48,7,\"U\",\"Asia/Saigon\"\n", + "6827,\"Namanga\",\"Namanga\",\"Kenya\",\"\",\\N,-2.55,36.7833333,4445,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "3204,\"Phu Quoc\",\"Phuquoc\",\"Vietnam\",\"\",\"VVPQ\",10.227025,103.967169,23,7,\"U\",\"Asia/Saigon\"\n", + "3205,\"Tansonnhat Intl\",\"Ho Chi Minh City\",\"Vietnam\",\"SGN\",\"VVTS\",10.818797,106.651856,33,7,\"U\",\"Asia/Saigon\"\n", + "3207,\"Ann\",\"Ann\",\"Burma\",\"\",\"VYAN\",19.769156,94.026133,74,6.5,\"U\",\"Asia/Rangoon\"\n", + "3208,\"Anisakan\",\"Anisakan\",\"Burma\",\"\",\"VYAS\",21.955433,96.40605,3000,6.5,\"U\",\"Asia/Rangoon\"\n", + "3209,\"Bagan\",\"Bagan\",\"Burma\",\"\",\"VYBG\",21.178756,94.930169,312,6.5,\"U\",\"Asia/Rangoon\"\n", + "6826,\"Bamburi\",\"Bamburi\",\"Kenya\",\"BMQ\",\"KBMQ\",-3.98268888888889,39.7308972222222,50,3,\"U\",\"Africa/Nairobi\"\n", + "3211,\"Coco Island\",\"Coco Island\",\"Burma\",\"\",\"VYCI\",14.141517,93.368531,20,6,\"U\",\\N\n", + "3213,\"Heho\",\"Heho\",\"Burma\",\"HEH\",\"VYHH\",20.747036,96.792044,3858,6.5,\"U\",\"Asia/Rangoon\"\n", + "3214,\"Hommalinn\",\"Hommalin\",\"Burma\",\"\",\"VYHL\",24.899597,94.914033,534,6.5,\"U\",\"Asia/Rangoon\"\n", + "3215,\"Kengtung\",\"Kengtung\",\"Burma\",\"KET\",\"VYKG\",21.301611,99.635997,2798,6.5,\"U\",\"Asia/Rangoon\"\n", + "6825,\"Williamson Country Regional Airport\",\"Marion\",\"United States\",\"MWA\",\"KMWA\",37.7549569,-89.0110936,472,-6,\"A\",\"America/Chicago\"\n", + "3217,\"Kyaukpyu\",\"Kyaukpyu\",\"Burma\",\"KYP\",\"VYKP\",19.426447,93.534836,20,6.5,\"U\",\"Asia/Rangoon\"\n", + "6824,\"Lommis Airport\",\"Lommis\",\"Switzerland\",\"\",\"LSZT\",47.5244,9.00306,1539,1,\"E\",\"Europe/Zurich\"\n", + "3220,\"Lashio\",\"Lashio\",\"Burma\",\"LSH\",\"VYLS\",22.977881,97.752183,2450,6.5,\"U\",\"Asia/Rangoon\"\n", + "3221,\"Lanywa\",\"Lanywa\",\"Burma\",\"\",\"VYLY\",20.940361,94.822617,175,6.5,\"U\",\"Asia/Rangoon\"\n", + "3222,\"Mandalay Intl\",\"Mandalay\",\"Burma\",\"MDL\",\"VYMD\",21.702156,95.977928,300,6.5,\"U\",\"Asia/Rangoon\"\n", + "3223,\"Myeik\",\"Myeik\",\"Burma\",\"MGZ\",\"VYME\",12.439797,98.621478,75,6.5,\"U\",\"Asia/Rangoon\"\n", + "3224,\"Myitkyina\",\"Myitkyina\",\"Burma\",\"MYT\",\"VYMK\",25.383636,97.351919,475,6.5,\"U\",\"Asia/Rangoon\"\n", + "3226,\"Momeik\",\"Momeik\",\"Burma\",\"\",\"VYMO\",23.092525,96.645272,600,6.5,\"U\",\"Asia/Rangoon\"\n", + "3227,\"Mong Hsat\",\"Mong Hsat\",\"Burma\",\"MOG\",\"VYMS\",20.516758,99.256825,1875,6.5,\"U\",\"Asia/Rangoon\"\n", + "3228,\"Nampong\",\"Nampong\",\"Burma\",\"\",\"VYNP\",25.354375,97.29515,459,6.5,\"U\",\"Asia/Rangoon\"\n", + "3229,\"Namsang\",\"Namsang\",\"Burma\",\"\",\"VYNS\",20.890492,97.735922,3100,6.5,\"U\",\"Asia/Rangoon\"\n", + "3230,\"Hpa An\",\"Hpa-an\",\"Burma\",\"\",\"VYPA\",16.893714,97.674581,150,6.5,\"U\",\"Asia/Rangoon\"\n", + "6823,\"Amlikon Glider Airport\",\"Amlikon\",\"Switzerland\",\"\",\"LSPA\",47.5742,9.0475,1371,1,\"E\",\"Europe/Zurich\"\n", + "3232,\"Putao\",\"Putao\",\"Burma\",\"PBU\",\"VYPT\",27.329922,97.426269,1500,6.5,\"U\",\"Asia/Rangoon\"\n", + "3233,\"Pyay\",\"Pyay\",\"Burma\",\"\",\"VYPY\",18.824478,95.266003,120,6.5,\"U\",\"Asia/Rangoon\"\n", + "3234,\"Shante\",\"Shante\",\"Burma\",\"\",\"VYST\",20.941668,95.914497,630,6.5,\"U\",\"Asia/Rangoon\"\n", + "3235,\"Sittwe\",\"Sittwe\",\"Burma\",\"AKY\",\"VYSW\",20.132708,92.872628,27,6.5,\"U\",\"Asia/Rangoon\"\n", + "3236,\"Thandwe\",\"Thandwe\",\"Burma\",\"SNW\",\"VYTD\",18.460731,94.300119,20,6.5,\"U\",\"Asia/Rangoon\"\n", + "3237,\"Tachileik\",\"Tachilek\",\"Burma\",\"THL\",\"VYTL\",20.483831,99.935353,1280,6.5,\"U\",\"Asia/Rangoon\"\n", + "3238,\"Taungoo\",\"Taungoo\",\"Burma\",\"\",\"VYTO\",19.031275,96.401239,160,6.5,\"U\",\"Asia/Rangoon\"\n", + "3239,\"Yangon Intl\",\"Yangon\",\"Burma\",\"RGN\",\"VYYY\",16.907305,96.133222,109,6.5,\"U\",\"Asia/Rangoon\"\n", + "3240,\"Hasanuddin\",\"Ujung Pandang\",\"Indonesia\",\"UPG\",\"WAAA\",-5.061631,119.554042,47,8,\"N\",\"Asia/Makassar\"\n", + "3241,\"Frans Kaisiepo\",\"Biak\",\"Indonesia\",\"BIK\",\"WABB\",-1.190017,136.107997,46,9,\"N\",\"Asia/Jayapura\"\n", + "3242,\"Nabire\",\"Nabire\",\"Indonesia\",\"NBX\",\"WABI\",-3.368183,135.496406,20,9,\"N\",\"Asia/Jayapura\"\n", + "3243,\"Moses Kilangin\",\"Timika\",\"Indonesia\",\"TIM\",\"WABP\",-4.528275,136.887375,103,9,\"N\",\"Asia/Jayapura\"\n", + "3244,\"Sentani\",\"Jayapura\",\"Indonesia\",\"DJJ\",\"WAJJ\",-2.576953,140.516372,289,9,\"N\",\"Asia/Jayapura\"\n", + "3245,\"Wamena\",\"Wamena\",\"Indonesia\",\"WMX\",\"WAJW\",-4.102511,138.957372,5085,9,\"N\",\"Asia/Jayapura\"\n", + "3246,\"Mopah\",\"Merauke\",\"Indonesia\",\"MKQ\",\"WAKK\",-8.520294,140.418453,10,9,\"N\",\"Asia/Jayapura\"\n", + "3247,\"Jalaluddin\",\"Gorontalo\",\"Indonesia\",\"GTO\",\"WAMG\",0.637119,122.849858,105,8,\"N\",\"Asia/Makassar\"\n", + "3930,\"Incheon Intl\",\"Seoul\",\"South Korea\",\"ICN\",\"RKSI\",37.469075,126.450517,23,9,\"U\",\"Asia/Seoul\"\n", + "3249,\"Mutiara\",\"Palu\",\"Indonesia\",\"PLW\",\"WAML\",-0.918542,119.909642,284,8,\"N\",\"Asia/Makassar\"\n", + "3250,\"Sam Ratulangi\",\"Manado\",\"Indonesia\",\"MDC\",\"WAMM\",1.549447,124.925878,264,8,\"N\",\"Asia/Makassar\"\n", + "3251,\"Kasiguncu\",\"Poso\",\"Indonesia\",\"PSJ\",\"WAMP\",-1.416753,120.657669,174,8,\"N\",\"Asia/Makassar\"\n", + "3252,\"Pitu\",\"Morotai Island\",\"Indonesia\",\"OTI\",\"WAMR\",2.045992,128.324708,49,9,\"N\",\"Asia/Jayapura\"\n", + "3253,\"Sultan Babullah\",\"Ternate\",\"Indonesia\",\"TTE\",\"WAMT\",0.831414,127.381486,49,9,\"N\",\"Asia/Jayapura\"\n", + "3254,\"Bubung\",\"Luwuk\",\"Indonesia\",\"LUW\",\"WAMW\",-1.038919,122.771906,56,8,\"N\",\"Asia/Makassar\"\n", + "6821,\"Mukachevo Air Base\",\"Mukacheve\",\"Ukraine\",\"\",\\N,48.4,22.6833,390,2,\"E\",\"Europe/Kiev\"\n", + "3256,\"Pattimura\",\"Ambon\",\"Indonesia\",\"AMQ\",\"WAPP\",-3.710264,128.089136,33,9,\"N\",\"Asia/Jayapura\"\n", + "3257,\"Fak Fak\",\"Fak Fak\",\"Indonesia\",\"FKQ\",\"WASF\",-2.920192,132.267031,462,9,\"N\",\"Asia/Jayapura\"\n", + "3258,\"Kaimana\",\"Kaimana\",\"Indonesia\",\"KNG\",\"WASK\",-3.644517,133.695553,19,9,\"N\",\"Asia/Jayapura\"\n", + "3259,\"Babo\",\"Babo\",\"Indonesia\",\"BXB\",\"WASO\",-2.532242,133.438894,10,9,\"N\",\"Asia/Jayapura\"\n", + "3260,\"Rendani\",\"Manokwari\",\"Indonesia\",\"MKW\",\"WASR\",-0.891833,134.049183,23,9,\"N\",\"Asia/Jayapura\"\n", + "3261,\"Jefman\",\"Sorong\",\"Indonesia\",\"SOQ\",\"WASS\",-0.926358,131.121194,10,9,\"N\",\"Asia/Jayapura\"\n", + "3262,\"Bintulu\",\"Bintulu\",\"Malaysia\",\"BTU\",\"WBGB\",3.12385,113.020472,74,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3263,\"Kuching Intl\",\"Kuching\",\"Malaysia\",\"KCH\",\"WBGG\",1.484697,110.346933,89,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3264,\"Limbang\",\"Limbang\",\"Malaysia\",\"LMN\",\"WBGJ\",4.808303,115.010439,14,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3265,\"Marudi\",\"Marudi\",\"Malaysia\",\"MUR\",\"WBGM\",4.1775,114.321944,103,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3266,\"Miri\",\"Miri\",\"Malaysia\",\"MYY\",\"WBGR\",4.322014,113.986806,59,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3267,\"Sibu\",\"Sibu\",\"Malaysia\",\"SBW\",\"WBGS\",2.261603,111.985322,122,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3268,\"Lahad Datu\",\"Lahad Datu\",\"Malaysia\",\"LDU\",\"WBKD\",5.032247,118.324036,45,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3269,\"Kota Kinabalu Intl\",\"Kota Kinabalu\",\"Malaysia\",\"BKI\",\"WBKK\",5.937208,116.051181,10,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3270,\"Labuan\",\"Labuan\",\"Malaysia\",\"LBU\",\"WBKL\",5.300683,115.250181,101,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3271,\"Tawau\",\"Tawau\",\"Malaysia\",\"TWU\",\"WBKW\",4.313369,118.121953,57,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3272,\"Brunei Intl\",\"Bandar Seri Begawan\",\"Brunei\",\"BWN\",\"WBSB\",4.9442,114.928353,73,8,\"U\",\"Asia/Brunei\"\n", + "3273,\"Sultan Syarif Kasim Ii\",\"Pekanbaru\",\"Indonesia\",\"PKU\",\"WIBB\",0.460786,101.444539,102,7,\"N\",\"Asia/Jakarta\"\n", + "3274,\"Pinang Kampai\",\"Dumai\",\"Indonesia\",\"DUM\",\"WIBD\",1.609194,101.433558,55,7,\"N\",\"Asia/Jakarta\"\n", + "3275,\"Soekarno Hatta Intl\",\"Jakarta\",\"Indonesia\",\"CGK\",\"WIII\",-6.125567,106.655897,34,7,\"N\",\"Asia/Jakarta\"\n", + "3276,\"Binaka\",\"Gunung Sitoli\",\"Indonesia\",\"GNS\",\"WIMB\",1.166381,97.704681,20,7,\"N\",\"Asia/Jakarta\"\n", + "3277,\"Aek Godang\",\"Padang Sidempuan\",\"Indonesia\",\"\",\"WIME\",1.400103,99.430453,922,7,\"N\",\"Asia/Jakarta\"\n", + "3278,\"Minangkabau\",\"Padang\",\"Indonesia\",\"PDG\",\"WIPT\",-0.874989,100.351881,9,7,\"N\",\"Asia/Jakarta\"\n", + "3279,\"Polonia\",\"Medan\",\"Indonesia\",\"MES\",\"WIMM\",3.558056,98.671722,114,7,\"N\",\"Asia/Jakarta\"\n", + "3280,\"Dr Ferdinand Lumban Tobing\",\"Sibolga\",\"Indonesia\",\"\",\"WIMS\",1.555944,98.888908,43,7,\"N\",\"Asia/Jakarta\"\n", + "3281,\"Nanga Pinoh I\",\"Nangapinoh\",\"Indonesia\",\"\",\"WIOG\",-0.348869,111.747606,123,7,\"N\",\"Asia/Jakarta\"\n", + "3282,\"Rahadi Usman\",\"Ketapang\",\"Indonesia\",\"KTG\",\"WIOK\",-1.816639,109.963483,46,7,\"N\",\"Asia/Jakarta\"\n", + "6820,\"Mukachevo\",\"Mukacheve\",\"Ukraine\",\"\",\\N,48.4,22.683,390,2,\"E\",\"Europe/Kiev\"\n", + "3284,\"Supadio\",\"Pontianak\",\"Indonesia\",\"PNK\",\"WIOO\",-0.150711,109.403892,10,7,\"N\",\"Asia/Jakarta\"\n", + "6819,\"Borovaya Airfield\",\"Minsk\",\"Belarus\",\"\",\"UMMB\",53.57,27.39,0,3,\"E\",\"Europe/Minsk\"\n", + "6798,\"Weser-Wuemme\",\"Hellwege\",\"Germany\",\"\",\"EDWM\",53.054,9.208667,59,1,\"E\",\"Europe/Berlin\"\n", + "3287,\"Sultan Thaha\",\"Jambi\",\"Indonesia\",\"DJB\",\"WIPA\",-1.638017,103.644378,82,7,\"N\",\"Asia/Jakarta\"\n", + "3288,\"Fatmawati Soekarno\",\"Bengkulu\",\"Indonesia\",\"BKS\",\"WIPL\",-3.8637,102.339036,50,7,\"N\",\"Asia/Jakarta\"\n", + "3289,\"Sultan Mahmud Badaruddin Ii\",\"Palembang\",\"Indonesia\",\"PLM\",\"WIPP\",-2.89825,104.699903,49,7,\"N\",\"Asia/Jakarta\"\n", + "3291,\"Japura\",\"Rengat\",\"Indonesia\",\"RGT\",\"WIPR\",-0.352808,102.334917,62,7,\"N\",\"Asia/Jakarta\"\n", + "3292,\"Lhok Sukon\",\"Lhok Sukon\",\"Indonesia\",\"\",\"WITL\",5.069506,97.259192,28,7,\"N\",\"Asia/Jakarta\"\n", + "6818,\"Balti International Airport\",\"Strymba\",\"Moldova\",\"BZY\",\\N,47.8381,27.7815,758,2,\"U\",\"Europe/Chisinau\"\n", + "3294,\"Sultan Iskandarmuda\",\"Banda Aceh\",\"Indonesia\",\"BTJ\",\"WITT\",5.523522,95.420372,65,7,\"N\",\"Asia/Jakarta\"\n", + "3295,\"Kluang\",\"Kluang\",\"Malaysia\",\"\",\"WMAP\",2.041394,103.307394,150,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3296,\"Sultan Abdul Halim\",\"Alor Setar\",\"Malaysia\",\"AOR\",\"WMKA\",6.189667,100.398183,15,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3297,\"Butterworth\",\"Butterworth\",\"Malaysia\",\"\",\"WMKB\",5.465917,100.391167,11,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3298,\"Sultan Ismail Petra\",\"Kota Bahru\",\"Malaysia\",\"KBR\",\"WMKC\",6.16685,102.293014,16,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3299,\"Kuantan\",\"Kuantan\",\"Malaysia\",\"KUA\",\"WMKD\",3.775389,103.209056,58,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3300,\"Kerteh\",\"Kerteh\",\"Malaysia\",\"KTE\",\"WMKE\",4.537222,103.426756,18,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3301,\"Simpang\",\"Simpang\",\"Malaysia\",\"\",\"WMKF\",3.11225,101.70275,111,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3302,\"Sultan Azlan Shah\",\"Ipoh\",\"Malaysia\",\"IPH\",\"WMKI\",4.567972,101.092194,130,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3303,\"Sultan Ismail\",\"Johor Bahru\",\"Malaysia\",\"JHB\",\"WMKJ\",1.641308,103.669619,135,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3304,\"Kuala Lumpur Intl\",\"Kuala Lumpur\",\"Malaysia\",\"KUL\",\"WMKK\",2.745578,101.709917,69,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3305,\"Langkawi Intl\",\"Pulau\",\"Malaysia\",\"LGK\",\"WMKL\",6.329728,99.728667,29,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3306,\"Malacca\",\"Malacca\",\"Malaysia\",\"MKZ\",\"WMKM\",2.263361,102.251553,35,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3307,\"Sultan Mahmud\",\"Kuala Terengganu\",\"Malaysia\",\"TGG\",\"WMKN\",5.382639,103.10336,21,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3308,\"Penang Intl\",\"Penang\",\"Malaysia\",\"PEN\",\"WMKP\",5.297139,100.276864,11,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "3309,\"Suai\",\"Suai\",\"East Timor\",\"\",\"WPDB\",-9.303306,125.286753,96,9,\"U\",\"Asia/Dili\"\n", + "3310,\"Presidente Nicolau Lobato Intl\",\"Dili\",\"East Timor\",\"DIL\",\"WPDL\",-8.546553,125.524719,25,9,\"U\",\"Asia/Dili\"\n", + "3311,\"Cakung\",\"Baucau\",\"East Timor\",\"\",\"WPEC\",-8.485547,126.399389,1777,9,\"U\",\"Asia/Dili\"\n", + "3312,\"Sembawang\",\"Sembawang\",\"Singapore\",\"\",\"WSAG\",1.425264,103.812806,86,8,\"N\",\"Asia/Singapore\"\n", + "3313,\"Paya Lebar\",\"Paya Lebar\",\"Singapore\",\"QPG\",\"WSAP\",1.360417,103.90953,65,8,\"N\",\"Asia/Singapore\"\n", + "3314,\"Tengah\",\"Tengah\",\"Singapore\",\"\",\"WSAT\",1.387258,103.708719,50,8,\"N\",\"Asia/Singapore\"\n", + "3315,\"Seletar\",\"Singapore\",\"Singapore\",\"XSP\",\"WSSL\",1.41695,103.867653,36,8,\"N\",\"Asia/Singapore\"\n", + "3316,\"Changi 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"3412,\"Wainwright As\",\"Fort Wainwright\",\"United States\",\"K03\",\"PAWT\",70.613378,-159.86035,35,-9,\"A\",\"America/Anchorage\"\n", + "3413,\"Cape Lisburne Lrrs\",\"Cape Lisburne\",\"United States\",\"LUR\",\"PALU\",68.875133,-166.110022,12,-9,\"A\",\"America/Anchorage\"\n", + "3414,\"Point Lay Lrrs\",\"Point Lay\",\"United States\",\"PIZ\",\"PPIZ\",69.732875,-163.005342,25,-9,\"A\",\"America/Anchorage\"\n", + "3415,\"Hilo Intl\",\"Hilo\",\"United States\",\"ITO\",\"PHTO\",19.721375,-155.048469,38,-10,\"N\",\"Pacific/Honolulu\"\n", + "3416,\"Executive\",\"Orlando\",\"United States\",\"ORL\",\"KORL\",28.545464,-81.332936,113,-5,\"A\",\"America/New_York\"\n", + "3417,\"Bettles\",\"Bettles\",\"United States\",\"BTT\",\"PABT\",66.913944,-151.529056,644,-9,\"A\",\"America/Anchorage\"\n", + "3418,\"Clear\",\"Clear Mews\",\"United States\",\"Z84\",\"PACL\",64.301203,-149.120144,552,-9,\"A\",\"America/Anchorage\"\n", + "3419,\"Indian Mountain Lrrs\",\"Indian Mountains\",\"United 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States\",\"YNG\",\"KYNG\",41.260736,-80.679097,1196,-5,\"A\",\"America/New_York\"\n", + "3882,\"Ladd Aaf\",\"Fort Wainwright\",\"United States\",\"FBK\",\"PAFB\",64.8375,-147.614444,454,-9,\"A\",\"America/Anchorage\"\n", + "3883,\"Mc Minnville Muni\",\"Mackminnville\",\"United States\",\"MMV\",\"KMMV\",45.194444,-123.135944,163,-8,\"A\",\"America/Los_Angeles\"\n", + "3884,\"Robins Afb\",\"Macon\",\"United States\",\"WRB\",\"KWRB\",32.640144,-83.59185,294,-5,\"A\",\"America/New_York\"\n", + "3885,\"Suvarnabhumi Intl\",\"Bangkok\",\"Thailand\",\"BKK\",\"VTBS\",13.681108,100.747283,5,7,\"U\",\"Asia/Bangkok\"\n", + "3887,\"Andi Jemma\",\"Masamba\",\"Indonesia\",\"\",\"WAWM\",-2.558044,120.324383,164,8,\"N\",\"Asia/Makassar\"\n", + "3888,\"Soroako\",\"Soroako\",\"Indonesia\",\"\",\"WAWS\",-2.531203,121.357639,1388,8,\"N\",\"Asia/Makassar\"\n", + "3889,\"Pongtiku\",\"Makale\",\"Indonesia\",\"\",\"WAWT\",-3.044736,119.821536,2884,8,\"N\",\"Asia/Makassar\"\n", + "3890,\"Wolter 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Sutjipto\",\"Yogyakarta\",\"Indonesia\",\"JOG\",\"WARJ\",-7.788181,110.431758,350,7,\"N\",\"Asia/Jakarta\"\n", + "3899,\"Tunggul Wulung\",\"Cilacap\",\"Indonesia\",\"CXP\",\"WIHL\",-7.645056,109.033911,69,7,\"N\",\"Asia/Jakarta\"\n", + "3900,\"Pondok Cabe\",\"Jakarta\",\"Indonesia\",\"PCB\",\"WIHP\",-6.336964,106.764561,200,7,\"N\",\"Asia/Jakarta\"\n", + "3901,\"Achmad Yani\",\"Semarang\",\"Indonesia\",\"SRG\",\"WARS\",-6.971447,110.374122,13,7,\"N\",\"Asia/Jakarta\"\n", + "3903,\"Hang Nadim\",\"Batam\",\"Indonesia\",\"BTH\",\"WIDD\",1.121028,104.118753,126,7,\"N\",\"Asia/Jakarta\"\n", + "3904,\"H As Hanandjoeddin\",\"Tanjung Pandan\",\"Indonesia\",\"TJQ\",\"WIOD\",-2.745722,107.754917,164,7,\"N\",\"Asia/Jakarta\"\n", + "3905,\"Depati Amir\",\"Pangkal Pinang\",\"Indonesia\",\"PGK\",\"WIPK\",-2.1622,106.139064,109,7,\"N\",\"Asia/Jakarta\"\n", + "3906,\"Kijang\",\"Tanjung Pinang\",\"Indonesia\",\"TNJ\",\"WIDN\",0.922683,104.532311,52,7,\"N\",\"Asia/Jakarta\"\n", + "3907,\"Dabo\",\"Singkep\",\"Indonesia\",\"SIQ\",\"WIDS\",-0.479189,104.579283,95,7,\"N\",\"Asia/Jakarta\"\n", + "3908,\"Syamsudin Noor\",\"Banjarmasin\",\"Indonesia\",\"BDJ\",\"WAOO\",-3.442356,114.762553,66,8,\"N\",\"Asia/Makassar\"\n", + "3909,\"Batu Licin\",\"Batu Licin\",\"Indonesia\",\"\",\"WAOC\",-3.412408,115.995136,3,8,\"N\",\"Asia/Makassar\"\n", + "3910,\"Iskandar\",\"Pangkalan Bun\",\"Indonesia\",\"PKN\",\"WAOI\",-2.705197,111.673208,75,7,\"N\",\"Asia/Jakarta\"\n", + "3911,\"Tjilik Riwut\",\"Palangkaraya\",\"Indonesia\",\"PKY\",\"WAOP\",-2.225128,113.942661,82,7,\"N\",\"Asia/Jakarta\"\n", + "6822,\"Militaerlager\",\"S-Chanf\",\"Switzerland\",\"\",\\N,46.6166,9.9833,5100,1,\"U\",\"Europe/Zurich\"\n", + "3913,\"Wai Oti\",\"Maumere\",\"Indonesia\",\"MOF\",\"WATC\",-8.640647,122.236889,115,8,\"N\",\"Asia/Makassar\"\n", + "3914,\"H Hasan Aroeboesman\",\"Ende\",\"Indonesia\",\"ENE\",\"WATE\",-8.849294,121.660644,49,8,\"N\",\"Asia/Makassar\"\n", + "3915,\"Satar Tacik\",\"Ruteng\",\"Indonesia\",\"RTG\",\"WATG\",-8.597011,120.477061,3510,8,\"N\",\"Asia/Makassar\"\n", + "3916,\"El Tari\",\"Kupang\",\"Indonesia\",\"KOE\",\"WATT\",-10.171583,123.671136,335,8,\"N\",\"Asia/Makassar\"\n", + "3917,\"Mutiara Ii\",\"Labuhan Bajo\",\"Indonesia\",\"LBJ\",\"WATO\",-8.486656,119.88905,66,8,\"N\",\"Asia/Makassar\"\n", + "3919,\"Sepinggan\",\"Balikpapan\",\"Indonesia\",\"BPN\",\"WALL\",-1.268272,116.894478,12,8,\"N\",\"Asia/Makassar\"\n", + "3920,\"Juwata\",\"Taraken\",\"Indonesia\",\"TRK\",\"WALR\",3.326694,117.565569,20,8,\"N\",\"Asia/Makassar\"\n", + "3921,\"Temindung\",\"Samarinda\",\"Indonesia\",\"SRI\",\"WALS\",-0.484531,117.157111,33,8,\"N\",\"Asia/Makassar\"\n", + "3922,\"Tanjung Santan\",\"Tanjung Santan\",\"Indonesia\",\"\",\"WALT\",-0.093215,117.439292,121,8,\"N\",\"Asia/Makassar\"\n", + "3923,\"Selaparang\",\"Mataram\",\"Indonesia\",\"AMI\",\"WADA\",-8.560708,116.094656,52,8,\"N\",\"Asia/Makassar\"\n", + "3924,\"Muhammad Salahuddin\",\"Bima\",\"Indonesia\",\"BMU\",\"WADB\",-8.539647,118.687322,3,8,\"N\",\"Asia/Makassar\"\n", + "6799,\"Krems Langenlois\",\"Krems\",\"Austria\",\"\",\"LOAG\",48.446075,15.631243,1022,1,\"E\",\"Europe/Vienna\"\n", + "3927,\"Mau Hau\",\"Waingapu\",\"Indonesia\",\"WGP\",\"WADW\",-9.669217,120.302006,33,8,\"N\",\"Asia/Makassar\"\n", + "3928,\"Juanda\",\"Surabaya\",\"Indonesia\",\"SUB\",\"WARR\",-7.379831,112.786858,9,7,\"N\",\"Asia/Jakarta\"\n", + "3929,\"Adi Sumarmo Wiryokusumo\",\"Solo City\",\"Indonesia\",\"SOC\",\"WARQ\",-7.516089,110.756892,421,7,\"N\",\"Asia/Jakarta\"\n", + "3931,\"Chiang Mai Intl\",\"Chiang Mai\",\"Thailand\",\"CNX\",\"VTCC\",18.766847,98.962644,1036,7,\"U\",\"Asia/Bangkok\"\n", + "3932,\"Chiang Rai Intl\",\"Chiang Rai\",\"Thailand\",\"CEI\",\"VTCT\",19.952342,99.882928,1280,7,\"U\",\"Asia/Bangkok\"\n", + "3933,\"Nakhon Si Thammarat\",\"Nakhon Si Thammarat\",\"Thailand\",\"NST\",\"VTSF\",8.539617,99.944725,13,7,\"U\",\"Asia/Bangkok\"\n", + "3940,\"Bali Ngurah Rai\",\"Denpasar\",\"Indonesia\",\"DPS\",\"WADD\",-8.748169,115.167172,14,8,\"N\",\"Asia/Makassar\"\n", + "3935,\"Nakhon Ratchasima\",\"Nakhon Ratchasima\",\"Thailand\",\"NAK\",\"VTUQ\",14.949497,102.312736,765,7,\"U\",\"Asia/Bangkok\"\n", + "3936,\"Nakhon Phanom\",\"Nakhon Phanom\",\"Thailand\",\"KOP\",\"VTUW\",17.383794,104.643022,587,7,\"U\",\"Asia/Bangkok\"\n", + "3937,\"Ubon Ratchathani\",\"Ubon Ratchathani\",\"Thailand\",\"UBP\",\"VTUU\",15.251278,104.870231,406,7,\"U\",\"Asia/Bangkok\"\n", + "3938,\"Khon Kaen\",\"Khon Kaen\",\"Thailand\",\"KKC\",\"VTUK\",16.466628,102.783661,670,7,\"U\",\"Asia/Bangkok\"\n", + "3939,\"Sukhothai\",\"Sukhothai\",\"Thailand\",\"THS\",\"VTPO\",17.237992,99.818183,179,7,\"U\",\"Asia/Bangkok\"\n", + "3941,\"Eleftherios Venizelos Intl\",\"Athens\",\"Greece\",\"ATH\",\"LGAV\",37.936358,23.944467,308,2,\"E\",\"Europe/Athens\"\n", + "3942,\"Chubu Centrair Intl\",\"Nagoya\",\"Japan\",\"NGO\",\"RJGG\",34.858414,136.805408,15,9,\"U\",\"Asia/Tokyo\"\n", 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States\",\"JRB\",\"KJRB\",40.701214,-74.009028,7,-5,\"A\",\"America/New_York\"\n", + "3994,\"Tagbilaran\",\"Tagbilaran\",\"Philippines\",\"TAG\",\"RPVT\",9.66408056,123.853247,38,8,\"N\",\"Asia/Manila\"\n", + "3995,\"Ilulissat\",\"Ilulissat\",\"Greenland\",\"JAV\",\"BGJN\",69.23444,-51.05111,2,-3,\"E\",\"America/Godthab\"\n", + "3996,\"Qasigiannguit\",\"Qasigiannguit\",\"Greenland\",\"JCH\",\"BGCH\",68.833336,-51,2,-3,\"E\",\"America/Godthab\"\n", + "3997,\"Aasiaat\",\"Aasiaat\",\"Greenland\",\"JEG\",\"BGEM\",68.7,-52.75,2,-3,\"E\",\"America/Godthab\"\n", + "3998,\"Son Sant Joan\",\"Palma de Mallorca\",\"Spain\",\"PMI\",\"LEPA\",39.55361,2.727778,24,1,\"E\",\"Europe/Madrid\"\n", + "3999,\"Darwin Intl\",\"Darwin\",\"Australia\",\"DRW\",\"YPDN\",-12.4083333,130.87266,103,9.5,\"N\",\"Australia/Darwin\"\n", + "4000,\"Surat Thani\",\"Surat Thani\",\"Thailand\",\"URT\",\"VTSB\",9.1325,99.135556,286,7,\"U\",\"Asia/Bangkok\"\n", + "4001,\"Bagan Intl\",\"Nyuang U\",\"Burma\",\"NYU\",\"VYBR\",21.173833266,94.9246666,290,6.5,\"U\",\"Asia/Rangoon\"\n", + "4002,\"Godofredo P\",\"Caticlan\",\"Philippines\",\"MPH\",\"RPXE\",11.9214999,121.953,20,8,\"N\",\"Asia/Manila\"\n", + "4003,\"Bimini North Seaplane Base\",\"Bimini\",\"Bahamas\",\"NSB\",\\N,25.767,-79.25,0,-5,\"U\",\"America/Nassau\"\n", + "4004,\"Talkeetna\",\"Talkeetna\",\"United States\",\"TKA\",\"PATK\",62.3205,-150.093694,358,-9,\"A\",\"America/Anchorage\"\n", + "4005,\"Xewkija Heliport\",\"Gozo\",\"Malta\",\"GZM\",\"LMMG\",36.027222,14.272778,300,1,\"E\",\"Europe/Malta\"\n", + "4006,\"Tweed-New Haven Airport\",\"New Haven\",\"United States\",\"HVN\",\"KHVN\",41.26375,-72.886806,14,-5,\"A\",\"America/New_York\"\n", + "4007,\"Asheville Regional Airport\",\"Asheville\",\"United States\",\"AVL\",\"KAVL\",35.436194,-82.541806,2165,-5,\"A\",\"America/New_York\"\n", + "4008,\"Piedmont Triad\",\"Greensboro\",\"United States\",\"GSO\",\"KGSO\",36.09775,-79.937306,925,-5,\"A\",\"America/New_York\"\n", + "4009,\"Sioux Falls\",\"Sioux Falls\",\"United States\",\"FSD\",\"KFSD\",43.582014,-96.741914,1429,-6,\"A\",\"America/Chicago\"\n", + "4010,\"Ayers Rock\",\"Uluru\",\"Australia\",\"AYQ\",\"YAYE\",-25.186111,130.975556,1626,9.5,\"N\",\"Australia/Darwin\"\n", + "4011,\"Manchester Regional Airport\",\"Manchester NH\",\"United States\",\"MHT\",\"KMHT\",42.932556,-71.435667,266,-5,\"A\",\"America/New_York\"\n", + "4012,\"Naples Muni\",\"Naples\",\"United States\",\"APF\",\"KAPF\",26.152619,-81.775294,8,-5,\"A\",\"America/New_York\"\n", + "4013,\"Redang\",\"Redang\",\"Malaysia\",\"RDN\",\"WMPR\",5.76528,103.007,10,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "4014,\"Louisville International Airport\",\"Louisville\",\"United States\",\"SDF\",\"KSDF\",38.1740858,-85.7364989,501,-5,\"A\",\"America/New_York\"\n", + "4015,\"Charlottesville-Albemarle\",\"Charlottesville VA\",\"United States\",\"CHO\",\"KCHO\",38.138639,-78.452861,639,-5,\"A\",\"America/New_York\"\n", + "4016,\"Roanoke Regional\",\"Roanoke VA\",\"United States\",\"ROA\",\"KROA\",37.325472,-79.975417,1175,-5,\"A\",\"America/New_York\"\n", + "4017,\"Blue Grass\",\"Lexington KY\",\"United States\",\"LEX\",\"KLEX\",38.0365,-84.605889,979,-5,\"A\",\"America/New_York\"\n", + "4018,\"Evansville Regional\",\"Evansville\",\"United States\",\"EVV\",\"KEVV\",38.036997,-87.532364,418,-6,\"A\",\"America/Chicago\"\n", + "4019,\"Albuquerque International Sunport\",\"Albuquerque\",\"United States\",\"ABQ\",\"KABQ\",35.0402222,-106.6091944,5355,-7,\"A\",\"America/Denver\"\n", + "4020,\"Gallatin Field\",\"Bozeman\",\"United States\",\"BZN\",\"KBZN\",45.777643,-111.160151,4500,-7,\"A\",\"America/Denver\"\n", + "4021,\"Billings Logan International Airport\",\"Billings\",\"United States\",\"BIL\",\"KBIL\",45.80921,-108.537654,3652,-7,\"A\",\"America/Denver\"\n", + "4022,\"Bert Mooney Airport\",\"Butte\",\"United States\",\"BTM\",\"KBTM\",45.954806,-112.497472,5550,-7,\"A\",\"America/Denver\"\n", + "4023,\"Cherry Capital Airport\",\"Traverse City\",\"United States\",\"TVC\",\"KTVC\",44.741445,-85.582235,624,-5,\"A\",\"America/New_York\"\n", + "4024,\"Mundo Maya International\",\"Flores\",\"Guatemala\",\"FRS\",\"MGTK\",16.913819,-89.866383,427,-6,\"U\",\"America/Guatemala\"\n", + "4025,\"Hancock County - Bar Harbor\",\"Bar Harbor\",\"United States\",\"BHB\",\"KBHB\",44.4497689,-68.3615653,83,-5,\"A\",\"America/New_York\"\n", + "4026,\"Knox County Regional Airport\",\"Rockland\",\"United States\",\"RKD\",\"KRKD\",44.0601111,-69.0992303,56,-5,\"A\",\"America/New_York\"\n", + "4027,\"Jackson Hole Airport\",\"Jacksn Hole\",\"United States\",\"JAC\",\"KJAC\",43.607333333,-110.73775,6451,-7,\"A\",\"America/Denver\"\n", + "4028,\"Chicago Rockford International Airport \",\"Rockford\",\"United States\",\"RFD\",\"KRFD\",42.1953611,-89.0972222,742,-6,\"A\",\"America/Chicago\"\n", + "4029,\"Domododevo\",\"Moscow\",\"Russia\",\"DME\",\"UUDD\",55.408611,37.906111,588,4,\"N\",\"Europe/Moscow\"\n", + "4030,\"Phoenix International\",\"Sanya\",\"China\",\"SYX\",\"ZJSY\",18.302897,109.412272,92,8,\"U\",\"Asia/Chongqing\"\n", + "4031,\"Milford Sound Airport\",\"Milford Sound\",\"New Zealand\",\"MFN\",\"NZMF\",-44.67333,167.92333,10,12,\"Z\",\"Pacific/Auckland\"\n", + "4032,\"East 34th Street Heliport\",\"New York\",\"United States\",\"TSS\",\"NONE\",40.7425,-73.971944,10,-5,\"A\",\"America/New_York\"\n", + "4033,\"Lijiang Airport\",\"Lijiang\",\"China\",\"LJG\",\"ZPLJ\",26.883333,100.23333,7923,8,\"U\",\"Asia/Chongqing\"\n", + "4034,\"Greenville-Spartanburg International\",\"Greenville\",\"United States\",\"GSP\",\"KGSP\",34.895556,-82.218889,964,-5,\"A\",\"America/New_York\"\n", + "4035,\"Cologne Railway\",\"Cologne\",\"Germany\",\"QKL\",\\N,50.9425,6.958056,100,1,\"E\",\"Europe/Berlin\"\n", + "4036,\"Stuttgart Railway Station\",\"Stuttgart\",\"Germany\",\"ZWS\",\\N,48.783611,9.181667,200,1,\"E\",\"Europe/Berlin\"\n", + "4037,\"Central Illinois Rgnl\",\"Bloomington\",\"United States\",\"BMI\",\"KBMI\",40.477111,-88.915917,871,-6,\"A\",\"America/Chicago\"\n", + "4038,\"Gulfport-Biloxi\",\"Gulfport\",\"United States\",\"GPT\",\"KGPT\",30.407278,-89.070111,28,-6,\"A\",\"America/Chicago\"\n", + "4039,\"Kalamazoo\",\"Kalamazoo\",\"United States\",\"AZO\",\"KAZO\",42.234875,-85.552058,874,-5,\"A\",\"America/New_York\"\n", + "4040,\"Toledo\",\"Toledo\",\"United States\",\"TOL\",\"KTOL\",41.586806,-83.807833,684,-5,\"A\",\"America/New_York\"\n", + "4041,\"Fort Wayne\",\"Fort Wayne\",\"United States\",\"FWA\",\"KFWA\",40.978472,-85.195139,815,-5,\"A\",\"America/New_York\"\n", + "4042,\"Decatur\",\"Decatur\",\"United States\",\"DEC\",\"KDEC\",39.834564,-88.865689,682,-6,\"A\",\"America/Chicago\"\n", + "4043,\"Cedar Rapids\",\"Cedar Rapids\",\"United States\",\"CID\",\"KCID\",41.884694,-91.710806,869,-6,\"A\",\"America/Chicago\"\n", + "4044,\"La Crosse Municipal\",\"La Crosse\",\"United States\",\"LSE\",\"KLSE\",43.878986,-91.256711,654,-6,\"A\",\"America/Chicago\"\n", + "4045,\"Central Wisconsin\",\"Wassau\",\"United States\",\"CWA\",\"KCWA\",44.772726,-89.646635,840,-6,\"A\",\"America/Chicago\"\n", + "4046,\"Peoria Regional\",\"Peoria\",\"United States\",\"PIA\",\"KPIA\",40.664203,-89.693258,660,-6,\"A\",\"America/Chicago\"\n", + "4047,\"Appleton\",\"Appleton\",\"United States\",\"ATW\",\"KATW\",44.257526,-88.507576,680,-6,\"A\",\"America/Chicago\"\n", + "4048,\"Rochester\",\"Rochester\",\"United States\",\"RST\",\"KRST\",43.908283,-92.500014,1317,-6,\"A\",\"America/Chicago\"\n", + "4049,\"Champaign\",\"Champaign\",\"United States\",\"CMI\",\"KCMI\",40.03925,-88.278056,754,-6,\"A\",\"America/Chicago\"\n", + "4050,\"Manhattan Reigonal\",\"Manhattan\",\"United States\",\"MHK\",\"KMHK\",39.140972,-96.670833,1057,-6,\"A\",\"America/Chicago\"\n", + "4051,\"Kingscote Airport\",\"Kingscote\",\"Australia\",\"KGC\",\"YKSC\",-35.713889,137.521389,24,9.5,\"O\",\"Australia/Adelaide\"\n", + "4052,\"Hervey Bay Airport\",\"Hervey Bay\",\"Australia\",\"HVB\",\"YHBA\",-25.318889,152.880278,60,10,\"O\",\"Australia/Brisbane\"\n", + "4053,\"EuroAirport Basel-Mulhouse-Freiburg\",\"Basel\",\"Switzerland\",\"BSL\",\\N,47.59,7.529167,885,1,\"E\",\"Europe/Paris\"\n", + "4054,\"Dali\",\"Dali\",\"China\",\"DLU\",\"ZPDL\",25.649444,100.319444,6978,8,\"U\",\"Asia/Chongqing\"\n", + "4055,\"Jinghong\",\"Jinghong\",\"China\",\"JHG\",\\N,21.973914,100.759611,1815,8,\"U\",\"Asia/Chongqing\"\n", + "4056,\"Mulu\",\"Mulu\",\"Malaysia\",\"MZV\",\\N,4.048333,114.805,80,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "4057,\"Sharm El Sheikh Intl\",\"Sharm El Sheikh\",\"Egypt\",\"SSH\",\"HESH\",27.977222,34.394722,143,2,\"N\",\"Africa/Cairo\"\n", + "4058,\"Franklin\",\"Franklin\",\"United States\",\"FKL\",\"KFKL\",41.377874,-79.860362,1540,-5,\"A\",\"America/New_York\"\n", + "4059,\"Jomo Kenyatta International\",\"Nairobi\",\"Kenya\",\"NBO\",\"HKJK\",-1.319167,36.9275,5327,3,\"N\",\"Africa/Nairobi\"\n", + "4060,\"Seronera\",\"Seronera\",\"Tanzania\",\"SEU\",\"HTSN\",-2.458056,34.8225,5080,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "4061,\"El Calafate\",\"El Calafate\",\"Argentina\",\"FTE\",\"SAWC\",-50.280322,-72.053103,669,-3,\"N\",\"America/Cordoba\"\n", + "4062,\"Armidale\",\"Armidale\",\"Australia\",\"ARM\",\"YARM\",-30.528056,151.617222,3556,10,\"O\",\"Australia/Sydney\"\n", + "4063,\"Grand Junction Regional\",\"Grand Junction\",\"United States\",\"GJT\",\"KGJT\",39.122413,-108.526735,4858,-7,\"A\",\"America/Denver\"\n", + "4064,\"St George Muni\",\"Saint George\",\"United States\",\"SGU\",\"KSGU\",37.090583,-113.593056,2941,-7,\"A\",\"America/Denver\"\n", + "4065,\"David Wayne Hooks Field\",\"Houston\",\"United States\",\"DWH\",\"KDWH\",30.063746,-95.554276,152,-6,\"A\",\"America/Chicago\"\n", + "4066,\"Port O\\\\'Connor Airfield\",\"Port O\\\\'Connor\",\"United States\",\"S46\",\"XS46\",28.429977,-96.442859,10,-6,\"A\",\"America/Chicago\"\n", + "4067,\"Sarasota Bradenton Intl\",\"Sarasota\",\"United States\",\"SRQ\",\"KSRQ\",27.395444,-82.554389,30,-5,\"A\",\"America/New_York\"\n", + "4071,\"Van Nuys\",\"Van Nuys\",\"United States\",\"VNY\",\"KVNY\",34.209811,-118.489972,802,-8,\"A\",\"America/Los_Angeles\"\n", + "4069,\"Bermuda Intl\",\"Bermuda\",\"Bermuda\",\"BDA\",\"TXKF\",32.364042,-64.678703,12,-4,\"A\",\"Atlantic/Bermuda\"\n", + "4070,\"Arthur Dunn Airpark\",\"Titusville\",\"United States\",\"X21\",\\N,28.622552,-80.83541,30,-5,\"A\",\"America/New_York\"\n", + "4072,\"Quad City Intl\",\"Moline\",\"United States\",\"MLI\",\"KMLI\",41.448528,-90.507539,590,-6,\"A\",\"America/Chicago\"\n", + "4073,\"Panama City Bay Co Intl\",\"Panama City\",\"United States\",\"PFN\",\"KPFN\",30.212083,-85.682806,20,-6,\"A\",\"America/Chicago\"\n", + "4074,\"Honiara International\",\"Honiara\",\"Solomon Islands\",\"HIR\",\"AGGH\",-9.428,160.054789,28,11,\"U\",\"Pacific/Guadalcanal\"\n", + "4075,\"Faa\\\\'a International\",\"Papeete\",\"French Polynesia\",\"PPT\",\"NTAA\",-17.556667,-149.611389,7,-10,\"U\",\"Pacific/Tahiti\"\n", + "4076,\"Nauru Intl\",\"Nauru\",\"Nauru\",\"INU\",\"ANYN\",-0.547458,166.9191,22,12,\"U\",\"Pacific/Nauru\"\n", + "4077,\"Funafuti International\",\"Funafuti\",\"Tuvalu\",\"FUN\",\"NGFU\",-8.525,179.196389,9,12,\"U\",\"Pacific/Funafuti\"\n", + "4078,\"Tolmachevo\",\"Novosibirsk\",\"Russia\",\"OVB\",\"UNNT\",55.012622,82.650656,365,7,\"N\",\"Asia/Omsk\"\n", + "4079,\"Orlando\",\"Orlando\",\"United States\",\"DWS\",\\N,28.398,-81.57,340,-5,\"A\",\"America/New_York\"\n", + "4080,\"Stavns\",\"Samsoe\",\"Denmark\",\"\",\"EKSS\",55.89,10.62,1,1,\"E\",\"Europe/Copenhagen\"\n", + "4081,\"Xieng Khouang\",\"Phon Savan\",\"Laos\",\"XKH\",\"VLXK\",19.449997,103.158333,3445,7,\"U\",\"Asia/Vientiane\"\n", + "4082,\"Phu Bai\",\"Hue\",\"Vietnam\",\"HUI\",\\N,16.401499,107.702614,48,7,\"U\",\"Asia/Saigon\"\n", + "4083,\"Bismarck Municipal Airport\",\"Bismarck\",\"United States\",\"BIS\",\"KBIS\",46.775842,-100.757931,1661,-6,\"A\",\"America/Chicago\"\n", + "4084,\"Telluride\",\"Telluride\",\"United States\",\"TEX\",\"KTEX\",37.953759,-107.90848,9078,-7,\"A\",\"America/Denver\"\n", + "4085,\"Yinchuan\",\"Yinchuan\",\"China\",\"INC\",\"ZLIC\",38.481944,106.009167,3600,8,\"U\",\"Asia/Chongqing\"\n", + "4086,\"Mae Hong Son\",\"Mae Hong Son\",\"Thailand\",\"HGN\",\"VTCH\",19.301667,97.975,929,7,\"U\",\"Asia/Bangkok\"\n", + "4087,\"Rapid City Regional Airport\",\"Rapid City\",\"United States\",\"RAP\",\"KRAP\",44.045278,-103.057222,3204,-7,\"A\",\"America/Denver\"\n", + "4088,\"McClellan-Palomar Airport\",\"Carlsbad\",\"United States\",\"CLD\",\"KCRQ\",33.0742,-117.1648,328,-8,\"A\",\"America/Los_Angeles\"\n", + "4089,\"Bishop International\",\"Flint\",\"United States\",\"FNT\",\"KFNT\",42.965424,-83.743629,782,-5,\"A\",\"America/New_York\"\n", + "4090,\"Francisco Bangoy International\",\"Davao\",\"Philippines\",\"DVO\",\"RPMD\",7.125522,125.645778,59,8,\"N\",\"Asia/Manila\"\n", + "4091,\"Madeira\",\"Funchal\",\"Portugal\",\"FNC\",\"LPMA\",32.697889,-16.774453,192,0,\"E\",\"Europe/Lisbon\"\n", + "4092,\"Santarem\",\"Santarem\",\"Brazil\",\"STM\",\"SBSN\",-2.422431,-54.792789,198,-4,\"S\",\"America/Boa_Vista\"\n", + "4093,\"Sihanoukville\",\"Sihanoukville\",\"Cambodia\",\"KOS\",\"VDSV\",10.579686,103.636828,33,7,\"N\",\"Asia/Phnom_Penh\"\n", + "4094,\"Ekati\",\"Ekati\",\"Canada\",\"YOA\",\"CYOA\",64.698889,-110.614722,1540,-7,\"A\",\"America/Edmonton\"\n", + "4095,\"Napier\",\"NAPIER\",\"New Zealand\",\"NPE\",\"NZNR\",-39.465833,176.87,6,12,\"Z\",\"Pacific/Auckland\"\n", + "4096,\"Levuka Airfield\",\"Levuka\",\"Fiji\",\"LEV\",\"NFNB\",-17.68333,178.83333,11,12,\"N\",\"Pacific/Fiji\"\n", + "4097,\"Lhasa-Gonggar\",\"Lhasa\",\"China\",\"LXA\",\"ZULS\",29.297778,90.911944,13136,8,\"U\",\"Asia/Chongqing\"\n", + "4098,\"Redding Muni\",\"Redding\",\"United States\",\"RDD\",\"KRDD\",40.509,-122.293389,504,-8,\"A\",\"America/Los_Angeles\"\n", + "4099,\"Mahlon Sweet Fld\",\"Eugene\",\"United States\",\"EUG\",\"KEUG\",44.124583,-123.211972,374,-8,\"A\",\"America/Los_Angeles\"\n", + "4100,\"Idaho Falls Rgnl\",\"Idaho Falls\",\"United States\",\"IDA\",\"KIDA\",43.514556,-112.07075,4744,-7,\"A\",\"America/Denver\"\n", + "4101,\"Rogue Valley Intl Medford\",\"Medford\",\"United States\",\"MFR\",\"KMFR\",42.374228,-122.8735,1335,-8,\"A\",\"America/Los_Angeles\"\n", + "4102,\"Kaikoura\",\"Kaikoura\",\"New Zealand\",\"KBZ\",\"NZKI\",-42.416668,173.68333,19,12,\"Z\",\"Pacific/Auckland\"\n", + "4103,\"Roberts Fld\",\"Redmond-Bend\",\"United States\",\"RDM\",\"KRDM\",44.254066,-121.149964,3077,-8,\"A\",\"America/Los_Angeles\"\n", + "4104,\"Koromiko\",\"Picton\",\"New Zealand\",\"PCN\",\"NZPN\",-41.348333,173.955278,60,12,\"Z\",\"Pacific/Auckland\"\n", + "4105,\"Windhoek Hosea Kutako International Airport \",\"Windhoek\",\"Namibia\",\"WDH\",\"FYWV\",-22.486667,17.4625,5640,1,\"S\",\"Africa/Windhoek\"\n", + "4106,\"Victoria Inner Harbour Airport\",\"Victoria\",\"Canada\",\"YWH\",\"CYWH\",48.422778,-123.3875,0,-8,\"A\",\"America/Vancouver\"\n", + "4107,\"Vancouver Coal Harbour\",\"Vancouver\",\"Canada\",\"CXH\",\"CAQ3\",49.289722,-123.115833,0,-8,\"A\",\"America/Vancouver\"\n", + "4108,\"Jinan\",\"Jinan\",\"China\",\"TNA\",\"ZSJN\",36.857214,117.215992,76,8,\"U\",\"Asia/Chongqing\"\n", + "4109,\"Changzhou\",\"Changzhou\",\"China\",\"CZX\",\"ZSCG\",31.941667,119.711667,39,8,\"U\",\"Asia/Chongqing\"\n", + "4110,\"Yibin\",\"Yibin\",\"China\",\"YBP\",\"ZUYB\",28.800278,104.544444,1000,8,\"U\",\"Asia/Chongqing\"\n", + "4111,\"Roschino\",\"Tyumen\",\"Russia\",\"TJM\",\"USTR\",57.189567,65.3243,378,6,\"N\",\"Asia/Yekaterinburg\"\n", + "4112,\"Akron Canton Regional Airport\",\"Akron\",\"United States\",\"CAK\",\"KCAK\",40.9160833,-81.4421944,1228,-5,\"A\",\"America/New_York\"\n", + "4113,\"Huntsville International Airport-Carl T Jones Field\",\"Huntsville\",\"United States\",\"HSV\",\"KHSV\",34.6371944,-86.7750556,629,-6,\"A\",\"America/Chicago\"\n", + "4114,\"Mid-Ohio Valley Regional Airport\",\"PARKERSBURG\",\"United States\",\"PKB\",\"KPKB\",39.3451039,-81.4392031,858,-5,\"A\",\"America/New_York\"\n", + "4115,\"Montgomery Regional Airport \",\"MONTGOMERY\",\"United States\",\"MGM\",\"KMGM\",32.3006389,-86.3939722,221,-6,\"A\",\"America/Chicago\"\n", + "4116,\"Tri-Cities Regional Airport\",\"BRISTOL\",\"United States\",\"TRI\",\"KTRI\",36.4752222,-82.4074167,1519,-5,\"A\",\"America/New_York\"\n", + "4117,\"Barkley Regional Airport\",\"PADUCAH\",\"United States\",\"PAH\",\"KPAH\",37.0602875,-88.7729583,410,-6,\"A\",\"America/Chicago\"\n", + "4118,\"Kurumoch\",\"Samara\",\"Russia\",\"KUF\",\\N,53.5,50.15,0,4,\"N\",\"Europe/Moscow\"\n", + "4119,\"Ambouli International Airport\",\"Djibouti\",\"Djibouti\",\"JIB\",\"HDAM\",11.5472,43.1594,49,3,\"U\",\"Africa/Djibouti\"\n", + "4120,\"Meilan\",\"Haikou\",\"China\",\"HAK\",\"ZJHK\",19.934856,110.458961,75,8,\"U\",\"Asia/Chongqing\"\n", + "4121,\"Mafia\",\"Mafia Island\",\"Tanzania\",\"MFA\",\"HTMA\",-7.913889,39.665,60,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "4127,\"Glacier Park Intl\",\"Kalispell\",\"United States\",\"FCA\",\"KFCA\",48.310472,-114.256,2977,-7,\"A\",\"America/Denver\"\n", + "4123,\"Mtemere Airstrip\",\"Selous\",\"Tanzania\",\"\",\"\",-7.75093364715576,38.2032814025878,60,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "4124,\"Page Municipal Airport\",\"Page\",\"United States\",\"PGA\",\"KPGA\",36.9261,-111.4483,4316,-7,\"A\",\"America/Phoenix\"\n", + "4125,\"Utila Airport\",\"Utila\",\"Honduras\",\"UII\",\"MHUT\",16.091667,-86.8875,10,-6,\"U\",\"America/Tegucigalpa\"\n", + "4126,\"Santa Elena Airport\",\"Santa Elena de Uairen\",\"Venezuela\",\"SNV\",\\N,4.554722,-61.144922,3585,-4.5,\"U\",\"America/Caracas\"\n", + "4128,\"Mbs Intl\",\"Saginaw\",\"United States\",\"MBS\",\"KMBS\",43.532913,-84.079647,668,-5,\"A\",\"America/New_York\"\n", + "4129,\"Greater Binghamton Edwin A Link Fld\",\"Binghamton\",\"United States\",\"BGM\",\"KBGM\",42.208689,-75.979839,1636,-5,\"A\",\"America/New_York\"\n", + "4130,\"Baghdad International Airport\",\"Baghdad\",\"Iraq\",\"BGW\",\"ORBI\",33.262539,44.234578,114,3,\"U\",\"Asia/Baghdad\"\n", + "4131,\"Nan\",\"Nan\",\"Thailand\",\"NNT\",\"VTCN\",18.807914,100.783419,685,7,\"U\",\"Asia/Bangkok\"\n", + "4132,\"Roi Et\",\"Roi Et\",\"Thailand\",\"ROI\",\"VTUV\",16.116761,103.773797,451,7,\"U\",\"Asia/Bangkok\"\n", + "4133,\"Buri Ram\",\"Buri Ram\",\"Thailand\",\"BFV\",\"VTUO\",15.229539,103.253231,590,7,\"U\",\"Asia/Bangkok\"\n", + "4134,\"Ranong\",\"Ranong\",\"Thailand\",\"UNN\",\\N,9.777622,98.585483,57,7,\"U\",\"Asia/Bangkok\"\n", + "4135,\"Trat\",\"Trat\",\"Thailand\",\"TDX\",\"VTBO\",12.274572,102.318958,105,7,\"U\",\"Asia/Bangkok\"\n", + "4136,\"Blythe Airport\",\"Blythe\",\"United States\",\"BLH\",\"KBLH\",33.619167,-114.716889,399,-8,\"A\",\"America/Los_Angeles\"\n", + "4137,\"Al Asad Airbase\",\"Al Asad\",\"Iraq\",\"\",\"ORAA\",33.785608,42.4412,618,3,\"U\",\"Asia/Baghdad\"\n", + "4138,\"Al Taqaddum Airbase\",\"Al Taqaddum\",\"Iraq\",\"\",\"ORAT\",33.338053,43.597072,275,3,\"U\",\"Asia/Baghdad\"\n", + "4139,\"Balad Southeast Airport\",\"Al Bakr\",\"Iraq\",\"\",\"ORBD\",33.940194,44.361583,161,3,\"U\",\"Asia/Baghdad\"\n", + "4140,\"Diosdado Macapagal International\",\"Angeles City\",\"Philippines\",\"CRK\",\"RPLC\",15.185833,120.560278,484,8,\"N\",\"Asia/Manila\"\n", + "4141,\"Sandakan\",\"Sandakan\",\"Malaysia\",\"SDK\",\"WBKS\",5.900897,118.059486,46,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "4142,\"Luang Namtha\",\"Luang Namtha\",\"Laos\",\"LXG\",\"VLLN\",20.960556,101.4025,1968,7,\"U\",\"Asia/Vientiane\"\n", + "4143,\"Oudomxay\",\"Muang Xay\",\"Laos\",\"ODY\",\"VLOS\",20.6827,101.994,1380,7,\"N\",\"Asia/Vientiane\"\n", + "4144,\"Shenyang Taoxian International Airport\",\"Shenyang\",\"China\",\"SHE\",\"ZYTX\",41.3824,123.2901,198,8,\"U\",\"Asia/Chongqing\"\n", + "4145,\"Dongying Airport\",\"Dongying\",\"China\",\"DOY\",\"ZSDY\",37.2716,118.2819,86,8,\"U\",\"Asia/Chongqing\"\n", + "4146,\"John A. Osborne Airport\",\"Geralds\",\"Montserrat\",\"MNI\",\"TRPG\",16.791389,-62.193333,40,-4,\"N\",\"America/Montserrat\"\n", + "4147,\"Petersburg James A. Johnson\",\"Petersburg\",\"United States\",\"PSG\",\"PAPG\",56.801667,-132.945278,105,-9,\"A\",\"America/Anchorage\"\n", + "4148,\"Luoyang Airport\",\"Luoyang\",\"China\",\"LYA\",\"ZHLY\",34.41,112.28,210,8,\"U\",\"Asia/Chongqing\"\n", + "4149,\"Xuzhou Guanyin Airport\",\"Xuzhou\",\"China\",\"XUZ\",\"ZSXZ\",34.16,117.11,140,8,\"U\",\"Asia/Chongqing\"\n", + "4150,\"Esfahan Shahid Beheshti Intl\",\"Isfahan\",\"Iran\",\"IFN\",\\N,32.750836,51.861267,5059,3.5,\"E\",\"Asia/Tehran\"\n", + "4151,\"Magwe\",\"Magwe\",\"Burma\",\"MWQ\",\"VYMW\",20.165453,94.941185,275,6.5,\"U\",\"Asia/Rangoon\"\n", + "4152,\"Khamti\",\"Khamti\",\"Burma\",\"KHM\",\"VYKI\",25.988333,95.674444,6000,6.5,\"U\",\"Asia/Rangoon\"\n", + "4153,\"Dalat\",\"Dalat\",\"Vietnam\",\"DLI\",\"VVDL\",11.75,108.367,3156,7,\"U\",\"Asia/Saigon\"\n", + "4154,\"Dong Hoi\",\"Dong Hoi\",\"Vietnam\",\"VDH\",\\N,17.515,106.590556,50,7,\"U\",\"Asia/Saigon\"\n", + "4155,\"Rach Gia\",\"Rach Gia\",\"Vietnam\",\"VKG\",\"VVRG\",9.949676,105.133659,7,7,\"U\",\"Asia/Saigon\"\n", + "4156,\"Ca Mau\",\"Ca Mau\",\"Vietnam\",\"CAH\",\"VVCM\",9.188049,105.174721,50,7,\"U\",\"Asia/Saigon\"\n", + "4157,\"Chu Lai\",\"Chu Lai\",\"Vietnam\",\"VCL\",\"VVCA\",15.405944,108.705889,10,7,\"U\",\"Asia/Saigon\"\n", + "4158,\"Dong Tac\",\"Tuy Hoa\",\"Vietnam\",\"TBB\",\"VVTH\",13.04955,109.333706,20,7,\"U\",\"Asia/Saigon\"\n", + "4159,\"Pai\",\"Pai\",\"Thailand\",\"PYY\",\"VTCI\",19.372,98.437,1271,7,\"U\",\"Asia/Bangkok\"\n", + "4160,\"Brac\",\"Brac\",\"Croatia\",\"BWK\",\"LDSB\",43.285719,16.679719,1776,1,\"E\",\"Europe/Zagreb\"\n", + "4161,\"Yaounde Nsimalen\",\"Yaounde\",\"Cameroon\",\"NSI\",\"FKYS\",3.722556,11.553269,2278,1,\"N\",\"Africa/Douala\"\n", + "4162,\"Conakry\",\"Conakry\",\"Guinea\",\"CKY\",\"GUCY\",9.576889,-13.611961,72,0,\"N\",\"Africa/Conakry\"\n", + "4163,\"Bergrestaurant\",\"Trogen\",\"Switzerland\",\"\",\\N,46.992094,8.390315,1800,1,\"E\",\"Europe/Zurich\"\n", + "4164,\"Uetliberg\",\"Zuerich\",\"Switzerland\",\"\",\\N,47.36029,8.47805,1800,1,\"E\",\"Europe/Zurich\"\n", + "4165,\"Flugplatz Merzbrueck\",\"Aachen\",\"Germany\",\"AAH\",\"EDKA\",50.823194,6.186389,570,1,\"E\",\"Europe/Berlin\"\n", + "4166,\"Baden Airpark\",\"Karlsruhe/Baden-Baden\",\"Germany\",\"FKB\",\"EDSB\",48.7793,8.08048,407,1,\"E\",\"Europe/Berlin\"\n", + "4167,\"Orlando Sanford Intl\",\"Sanford\",\"United States\",\"SFB\",\"KSFB\",28.777639,-81.237489,55,-5,\"A\",\"America/New_York\"\n", + "4168,\"Duong Dong Airport\",\"Phu Quoc\",\"Vietnam\",\"PQC\",\\N,10.227025,103.967169,23,7,\"U\",\"Asia/Saigon\"\n", + "4169,\"John Murtha Johnstown-Cambria County Airport\",\"Johnstown\",\"United States\",\"JST\",\"KJST\",40.316111,-78.833889,2284,-5,\"A\",\"America/New_York\"\n", + "4170,\"Lukla\",\"Lukla\",\"Nepal\",\"LUA\",\"VNLK\",27.687778,86.731389,9100,5.75,\"N\",\"Asia/Katmandu\"\n", + "4171,\"Bhojpur\",\"Bhojpur\",\"Nepal\",\"BHP\",\"VNBJ\",27.14743,87.050819,4000,5.75,\"N\",\"Asia/Katmandu\"\n", + "4172,\"Lamidanda\",\"Lamidanda\",\"Nepal\",\"LDN\",\"VNLD\",27.253117,86.670044,4100,5.75,\"N\",\"Asia/Katmandu\"\n", + "4173,\"Jomsom\",\"Jomsom\",\"Nepal\",\"JMO\",\"VNJS\",28.782222,83.7225,8800,5.75,\"N\",\"Asia/Katmandu\"\n", + "4174,\"Manang\",\"Manang\",\"Nepal\",\"NGX\",\"VNMA\",28.633,84,11000,5.75,\"N\",\"Asia/Katmandu\"\n", + "4175,\"Phaplu\",\"Phaplu\",\"Nepal\",\"PPL\",\"VNPL\",27.517,86.6,7918,5.75,\"N\",\"Asia/Katmandu\"\n", + "4176,\"Thamkharka\",\"Thamkharka\",\"Nepal\",\"TMK\",\\N,27.052222,86.861944,6000,5.75,\"N\",\"Asia/Katmandu\"\n", + "4177,\"Rumjatar\",\"Rumjatar\",\"Nepal\",\"RUM\",\"VNRT\",27.303509,86.55043,4500,5.75,\"N\",\"Asia/Katmandu\"\n", + "4178,\"Tulsipur\",\"Dang\",\"Nepal\",\"DNP\",\"VNDG\",28.111111,82.294167,2100,5.75,\"N\",\"Asia/Katmandu\"\n", + "4179,\"Rukumkot\",\"Rukumkot\",\"Nepal\",\"RUK\",\"VNRK\",28.627,82.195,2500,5.75,\"N\",\"Asia/Katmandu\"\n", + "4180,\"Jumla\",\"Jumla\",\"Nepal\",\"JUM\",\"VNJL\",29.274167,82.193333,7700,5.75,\"N\",\"Asia/Katmandu\"\n", + "4181,\"Chaurjhari\",\"Chaurjhari\",\"Nepal\",\"HRJ\",\"VNCJ\",28,83.833,4000,5.75,\"N\",\"Asia/Katmandu\"\n", + "4182,\"Taplejung\",\"Taplejung\",\"Nepal\",\"TPJ\",\"VNTJ\",27.35,84.667,4000,5.75,\"N\",\"Asia/Katmandu\"\n", + "4183,\"Tumling Tar\",\"Tumling Tar\",\"Nepal\",\"TMI\",\"VNTR\",27.315,87.193333,1700,5.75,\"N\",\"Asia/Katmandu\"\n", + "4184,\"Surkhet\",\"Surkhet\",\"Nepal\",\"SKH\",\"VNSK\",28.586,81.636,2400,5.75,\"N\",\"Asia/Katmandu\"\n", + "4185,\"Simikot\",\"Simikot\",\"Nepal\",\"IMK\",\"VNST\",29.971064,81.818932,9246,5.75,\"N\",\"Asia/Katmandu\"\n", + "4186,\"Dolpa\",\"Dolpa\",\"Nepal\",\"DOP\",\"VNDP\",28.985718,82.819145,8200,5.75,\"N\",\"Asia/Katmandu\"\n", + "4187,\"Bajhang\",\"Bajhang\",\"Nepal\",\"BJH\",\"VNBG\",29.53896,81.185364,4100,5.75,\"N\",\"Asia/Katmandu\"\n", + "4188,\"Dhangarhi\",\"Dhangarhi\",\"Nepal\",\"DHI\",\"VNDH\",28.753333,80.581944,690,5.75,\"N\",\"Asia/Katmandu\"\n", + "4189,\"Muan\",\"Muan\",\"South Korea\",\"MWX\",\"RKJB\",34.991389,126.382778,51,9,\"U\",\"Asia/Seoul\"\n", + "4190,\"Astypalaia\",\"Astypalaia\",\"Greece\",\"JTY\",\"LGPL\",36.579886,26.375822,165,2,\"E\",\"Europe/Athens\"\n", + "4191,\"Ikaria\",\"Ikaria\",\"Greece\",\"JIK\",\"LGIK\",37.682717,26.347061,79,2,\"E\",\"Europe/Athens\"\n", + "4192,\"Kalymnos Island\",\"Kalymnos\",\"Greece\",\"JKL\",\"LGKY\",36.963333,26.940556,771,2,\"E\",\"Europe/Athens\"\n", + "4193,\"Milos\",\"Milos\",\"Greece\",\"MLO\",\"LGML\",36.696111,24.4775,12,2,\"E\",\"Europe/Athens\"\n", + "4194,\"Naxos\",\"Cyclades Islands\",\"Greece\",\"JNX\",\"LGNX\",37.080556,25.368056,10,2,\"E\",\"Europe/Athens\"\n", + "4195,\"Paros\",\"Paros\",\"Greece\",\"PAS\",\"LGPA\",37.010278,25.127778,121,2,\"E\",\"Europe/Athens\"\n", + "4196,\"Kastelorizo\",\"Kastelorizo\",\"Greece\",\"KZS\",\"LGKJ\",36.127777,29.566656,474,2,\"E\",\"Europe/Athens\"\n", + "4197,\"Marsa Alam Intl\",\"Marsa Alam\",\"Egypt\",\"RMF\",\"HEMA\",25.557111,34.583711,251,2,\"U\",\"Africa/Cairo\"\n", + "4198,\"Niederrhein\",\"Weeze\",\"Germany\",\"NRN\",\"EDLV\",51.602222,6.141944,106,1,\"E\",\"Europe/Berlin\"\n", + "4199,\"Busuanga\",\"Busuanga\",\"Philippines\",\"USU\",\"RPVV\",12.121458,120.100031,148,8,\"N\",\"Asia/Manila\"\n", + "4200,\"Butuan\",\"Butuan\",\"Philippines\",\"BXU\",\"RPME\",8.951322,125.477972,141,8,\"N\",\"Asia/Manila\"\n", + "4201,\"Dipolog\",\"Dipolog\",\"Philippines\",\"DPL\",\"RPMG\",8.601261,123.334481,12,8,\"N\",\"Asia/Manila\"\n", + "4202,\"Laoag Intl\",\"Laoag\",\"Philippines\",\"LAO\",\"RPLI\",18.178092,120.531522,25,8,\"N\",\"Asia/Manila\"\n", + "4203,\"Legazpi\",\"Legazpi\",\"Philippines\",\"LGP\",\"RPLP\",13.157064,123.746247,66,8,\"N\",\"Asia/Manila\"\n", + "4204,\"Ozamis\",\"Ozamis\",\"Philippines\",\"OZC\",\"RPMO\",8.178508,123.841731,75,8,\"N\",\"Asia/Manila\"\n", + "6510,\"Zweibruecken\",\"Zweibruecken\",\"Germany\",\"ZQW\",\\N,49.209445,7.401323,1132,1,\"E\",\"Europe/Berlin\"\n", + "4206,\"Mactan Cebu Intl\",\"Cebu\",\"Philippines\",\"CEB\",\"RPVM\",10.307542,123.979439,31,8,\"N\",\"Asia/Manila\"\n", + "4207,\"Sonderlandeplatz Norden-Norddeich\",\"Norden\",\"Germany\",\"NOE\",\"EDWS\",53.632221,7.191389,3,1,\"E\",\"Europe/Berlin\"\n", + "4208,\"Verkehrslandeplatz Juist\",\"Juist\",\"Germany\",\"JUI\",\"EDWJ\",53.681572,7.055731,6,1,\"E\",\"Europe/Berlin\"\n", + "4209,\"Aeroporto de Porto Seguro\",\"Porto Seguro\",\"Brazil\",\"BPS\",\"SBPS\",-16.438611,-39.080833,167,-3,\"S\",\"America/Fortaleza\"\n", + "4210,\"Gounda Airport\",\"Gounda\",\"Central African Republic\",\"GDA\",\\N,9.272222,21.197222,1509,1,\"N\",\"Africa/Bangui\"\n", + "4211,\"Heliport Hotel das Cataratas\",\"Cataratas National Park\",\"Brazil\",\"\",\\N,-25.684,-54.44024,1000,-3,\"S\",\"America/Cordoba\"\n", + "4213,\"Iguatu\",\"Iguatu\",\"Brazil\",\"\",\"SNIG\",-6.346639,-39.293777,699,-3,\"S\",\"America/Fortaleza\"\n", + "4214,\"Palmas\",\"Palmas\",\"Brazil\",\"PMW\",\"SBPJ\",-10.241667,-48.35278,774,-3,\"S\",\"America/Fortaleza\"\n", + "4215,\"Caldas Novas\",\"Caldas Novas\",\"Brazil\",\"CLV\",\"SBCN\",-17.7267,-48.6114,2247,-3,\"S\",\"America/Sao_Paulo\"\n", + "4216,\"Missoula Intl\",\"Missoula\",\"United States\",\"MSO\",\"KMSO\",46.916306,-114.090556,3205,-7,\"A\",\"America/Denver\"\n", + "4217,\"Blackall\",\"Blackall\",\"Australia\",\"BKQ\",\"YBCK\",-24.427778,145.428611,928,10,\"O\",\"Australia/Brisbane\"\n", + "4218,\"Bundaberg\",\"Bundaberg\",\"Australia\",\"BDB\",\"YBUD\",-24.903889,152.318611,107,10,\"O\",\"Australia/Brisbane\"\n", + "4219,\"Grand Canyon National Park Airport\",\"Grand Canyon\",\"United States\",\"GCN\",\"KGCN\",35.9523611,-112.1469722,6609,-7,\"N\",\"America/Phoenix\"\n", + "4220,\"Sugar Land Regional Airport\",\"Sugar Land\",\"United States\",\"SGR\",\"KSGR\",29.62225,-95.6565278,82,-6,\"A\",\"America/Chicago\"\n", + "4221,\"Hayman Island Airport\",\"Hayman Island\",\"Australia\",\"HIS\",\"YHYN\",-20.066668,148.86667,10,10,\"O\",\"Australia/Brisbane\"\n", + "4222,\"Centennial\",\"Denver\",\"United States\",\"APA\",\"KAPA\",39.570129,-104.849294,5883,-7,\"A\",\"America/Denver\"\n", + "4223,\"Clovis Muni\",\"Clovis\",\"United States\",\"CVN\",\"KCVN\",34.425139,-103.079278,4216,-7,\"A\",\"America/Denver\"\n", + "4224,\"Fort Stockton Pecos Co\",\"Fort Stockton\",\"United States\",\"FST\",\"KFST\",30.915667,-102.916139,3011,-6,\"A\",\"America/Chicago\"\n", + "4225,\"Las Vegas Muni\",\"Las Vegas\",\"United States\",\"LVS\",\"KLVS\",35.654222,-105.142389,6877,-7,\"A\",\"America/Denver\"\n", + "4226,\"West Houston\",\"Houston\",\"United States\",\"IWS\",\"KIWS\",29.818194,-95.672611,111,-6,\"A\",\"America/Chicago\"\n", + "4227,\"La Junta Muni\",\"La Junta\",\"United States\",\"LHX\",\"KLHX\",38.049719,-103.509431,4238,-7,\"A\",\"America/Denver\"\n", + "4228,\"Las Cruces Intl\",\"Las Cruces\",\"United States\",\"LRU\",\"KLRU\",32.289417,-106.921972,4456,-7,\"A\",\"America/Denver\"\n", + "4229,\"Stephens Co\",\"Breckenridge\",\"United States\",\"BKD\",\"KBKD\",32.719047,-98.891,1284,-6,\"A\",\"America/Chicago\"\n", + "4230,\"Draughon Miller Central Texas Rgnl\",\"Temple\",\"United States\",\"TPL\",\"KTPL\",31.1525,-97.407778,682,-6,\"A\",\"America/Chicago\"\n", + "4231,\"Ozona Muni\",\"Ozona\",\"United States\",\"OZA\",\"KOZA\",30.735281,-101.202972,2381,-6,\"A\",\"America/Chicago\"\n", + "4232,\"Hong Kong Kai Tak\",\"Hong Kong\",\"Hong Kong\",\"\",\"VHXX\",22.315365,114.195349,1,8,\"U\",\"Asia/Hong_Kong\"\n", + "6416,\"Athen Helenikon Airport\",\"Athens\",\"Greece\",\"HEW\",\\N,37.8933,23.7261,69,2,\"E\",\"Europe/Athens\"\n", + "6415,\"Waikoloa Heliport\",\"Waikoloa Village\",\"United States\",\"WKL\",\"HI07\",19.9136,-155.864,109,-10,\"N\",\"Pacific/Honolulu\"\n", + "4235,\"Kaadedhdhoo\",\"Kaadedhdhoo\",\"Maldives\",\"KDM\",\\N,0.4880555,72.995556,3,5,\"U\",\"Indian/Maldives\"\n", + "4236,\"Aklavik\",\"Aklavik\",\"Canada\",\"LAK\",\"CYKD\",68.223333,-135.005833,23,-7,\"A\",\"America/Edmonton\"\n", + "4237,\"Deline\",\"Deline\",\"Canada\",\"YWJ\",\"CYWJ\",65.1833333,-125.41666667,550,-7,\"A\",\"America/Edmonton\"\n", + "4238,\"Tulita\",\"Tulita\",\"Canada\",\"ZFN\",\"CZFN\",64.0833333,-125.5833333,320,-7,\"A\",\"America/Edmonton\"\n", + "4239,\"Fort Good Hope\",\"Fort Good Hope\",\"Canada\",\"YGH\",\"CYGH\",66.26666667,-128.65,215,-7,\"A\",\"America/Edmonton\"\n", + "4240,\"Inuvik Town\",\"Inuvik\",\"Canada\",\"\",\\N,66.3676,-133.7594,200,-7,\"A\",\"America/Edmonton\"\n", + "4241,\"INAWR\",\"Inuvik\",\"Canada\",\"\",\\N,68.3676,-133.7594,200,-7,\"A\",\"America/Edmonton\"\n", + "4242,\"Tanna island\",\"Tanna\",\"Vanuatu\",\"TAH\",\\N,-19.455198,169.22394,3,11,\"U\",\"Pacific/Efate\"\n", + "6509,\"Sun Island\",\"Sun Island\",\"Maldives\",\"\",\\N,3.48596289680953,72.8060746192932,0,5,\"N\",\"Indian/Maldives\"\n", + "4244,\"Paulatuk\",\"Paulatuk\",\"Canada\",\"YPC\",\"CYPC\",62.35,-124.3333,50,-7,\"A\",\"America/Edmonton\"\n", + "4246,\"Nicholson Peninsula\",\"Nicholson Peninsula\",\"Canada\",\"\",\"YUCX\",69.917,-128.95,1,-7,\"A\",\"America/Edmonton\"\n", + "4247,\"Santa Cruz\",\"Santa Cruz\",\"Bolivia\",\"SRZ\",\\N,-17.8,-63.166667,1224,-4,\"U\",\"America/La_Paz\"\n", + "4248,\"Kulusuk\",\"Kulusuk\",\"Greenland\",\"KUS\",\\N,65.566667,-37.1166667,112,-3,\"E\",\"America/Godthab\"\n", + "4249,\"Juancho E. Yrausquin\",\"Saba\",\"Netherlands Antilles\",\"SAB\",\"TNCS\",17.645278,-63.220556,60,-4,\"U\",\"America/Curacao\"\n", + "4250,\"Eagle Co Rgnl\",\"Vail\",\"United States\",\"EGE\",\"KEGE\",39.642556,-106.917694,6540,-7,\"A\",\"America/Denver\"\n", + "4251,\"Stapleton\",\"Denver\",\"United States\",\"\",\\N,39.779255,-104.88184,5333,-7,\"A\",\"America/Denver\"\n", + "4252,\"Skagen\",\"Stokmarknes\",\"Norway\",\"SKN\",\"ENSK\",68.580833,15.026111,11,1,\"E\",\"Europe/Oslo\"\n", + "4253,\"Cuyahoga County\",\"Richmond Heights\",\"United States\",\"CGF\",\"KCGF\",41.565124,-81.4863555,879,-5,\"A\",\"America/New_York\"\n", + "4254,\"Mansfield Lahm Regional\",\"Mansfield\",\"United States\",\"MFD\",\"KMFD\",40.8214167,-82.5166389,1297,-5,\"A\",\"America/New_York\"\n", + "4255,\"Columbus Metropolitan Airport\",\"Columbus\",\"United States\",\"CSG\",\"KCSG\",32.5163333,-84.9388611,397,-5,\"A\",\"America/New_York\"\n", + "4256,\"Lawton-Fort Sill Regional Airport\",\"Lawton\",\"United States\",\"LAW\",\"KLAW\",34.5677144,-98.4166367,1110,-6,\"A\",\"America/Chicago\"\n", + "4257,\"Fort Collins Loveland Muni\",\"Fort Collins\",\"United States\",\"FNL\",\"KFNL\",40.451828,-105.011336,5016,-7,\"A\",\"America/Denver\"\n", + "6835,\"Gouvia Marina\",\"Gouvia\",\"Greece\",\"\",\\N,39.648682,19.855771,0,2,\"E\",\"Europe/Athens\"\n", + "6836,\"Paxos Marina\",\"Paxos\",\"Greece\",\"\",\\N,39.202676,20.187968,0,2,\"E\",\"Europe/Athens\"\n", + "4261,\"Flagstaff Pulliam Airport\",\"Flagstaff\",\"United States\",\"FLG\",\"KFLG\",35.140318,-111.6692392,7015,-7,\"N\",\"America/Phoenix\"\n", + "4262,\"Lake Tahoe Airport\",\"South Lake Tahoe\",\"United States\",\"TVL\",\"KTVL\",38.893889,-119.995278,8544,-8,\"A\",\"America/Los_Angeles\"\n", + "4263,\"Magic Valley Regional Airport\",\"Twin Falls\",\"United States\",\"TWF\",\"KTWF\",42.481803,-114.487733,4151,-7,\"A\",\"America/Denver\"\n", + "4264,\"Monaco\",\"Monaco\",\"Monaco\",\"MCM\",\\N,43.73333333,7.41666666,0,1,\"E\",\"Europe/Monaco\"\n", + "4265,\"Martha\\\\'s Vineyard\",\"Vineyard Haven MA\",\"United States\",\"MVY\",\"KMVY\",41.391667,-70.615278,67,-5,\"A\",\"America/New_York\"\n", + "4266,\"Newport State\",\"Newport RI\",\"United States\",\"UUU\",\\N,41.533056,-71.282222,172,-5,\"A\",\"America/New_York\"\n", + "4267,\"Hartness State\",\"Springfield VT\",\"United States\",\"VSF\",\\N,43.343333,-72.517222,577,-5,\"A\",\"America/New_York\"\n", + "4268,\"Concord Municipal\",\"Concord NH\",\"United States\",\"CON\",\\N,43.20267,-71.50233,342,-5,\"A\",\"America/New_York\"\n", + "4269,\"Sanford Regional\",\"Sanford ME\",\"United States\",\"SFM\",\\N,43.39383,-70.708,244,-5,\"A\",\"America/New_York\"\n", + "4270,\"Groton New London\",\"Groton CT\",\"United States\",\"GON\",\"KGON\",41.330056,-72.045139,9,-5,\"A\",\"America/New_York\"\n", + "4271,\"Saint Cloud Regional Airport\",\"Saint Cloud\",\"United States\",\"STC\",\"KSTC\",45.546556,-94.059889,1031,-6,\"A\",\"America/Chicago\"\n", + "4272,\"Bagan\",\"Bagan\",\"Burma\",\"BPE\",\\N,21.17383327,94.9246666,0,6.5,\"U\",\"Asia/Rangoon\"\n", + "4273,\"Golden Triangle Regional Airport\",\"Columbus Mississippi\",\"United States\",\"GTR\",\"KGTR\",33.450333,-88.591361,264,-6,\"A\",\"America/Chicago\"\n", + "4274,\"Nizhny Novgorod\",\"Nizhniy Novgorod\",\"Russia\",\"GOJ\",\"UWGG\",56.230119,43.784042,256,4,\"N\",\"Europe/Moscow\"\n", + "4275,\"Bowerman Field\",\"Hoquiam\",\"United States\",\"HQM\",\\N,46.9711944,-123.9365556,18,-8,\"A\",\"America/Los_Angeles\"\n", + "4276,\"Erie Intl Tom Ridge Fld\",\"Erie\",\"United States\",\"ERI\",\"KERI\",42.082022,-80.176217,733,-5,\"A\",\"America/New_York\"\n", + "4277,\"Conrad Maldives Resort\",\"Rangali Island\",\"Maldives\",\"\",\\N,3.5833,72.7167,0,5,\"U\",\"Indian/Maldives\"\n", + "4278,\"Barnstable Muni Boardman Polando Fld\",\"Barnstable\",\"United States\",\"HYA\",\"KHYA\",41.669336,-70.280356,55,-5,\"A\",\"America/New_York\"\n", + "4279,\"San Pedro\",\"San Pedro\",\"Belize\",\"SPR\",\"MZ10\",17.913936,-87.971075,4,-6,\"U\",\"America/Belize\"\n", + "4280,\"Sedona\",\"Sedona\",\"United States\",\"SDX\",\"KSEZ\",34.848628,-111.788472,4830,-7,\"A\",\"America/Phoenix\"\n", + "4281,\"Dry Tortugas\",\"Dry Tortugas\",\"United States\",\"\",\\N,24.62,-82.87,5,-5,\"A\",\"America/New_York\"\n", + "4282,\"Dry Tortugas\",\"Dry Tortugas\",\"United States\",\"\",\\N,24.62,24.62,5,2,\"A\",\"Africa/Tripoli\"\n", + "4283,\"Dry Tortugas\",\"Dry Tortugas\",\"United States\",\"\",\\N,24.628,82.873,5,5.5,\"A\",\"Asia/Calcutta\"\n", + "4284,\"Morgantown Muni Walter L Bill Hart Fld\",\"Morgantown\",\"United States\",\"MGW\",\"KMGW\",39.642908,-79.916314,1248,-5,\"A\",\"America/New_York\"\n", + "4285,\"Yeager\",\"Charleston\",\"United States\",\"CRW\",\"KCRW\",38.373147,-81.593189,981,-5,\"A\",\"America/New_York\"\n", + "4286,\"Wilkes Barre Scranton Intl\",\"Scranton\",\"United States\",\"AVP\",\"KAVP\",41.338478,-75.723403,962,-5,\"A\",\"America/New_York\"\n", + "4287,\"Bemidji Regional Airport\",\"Bemidji\",\"United States\",\"BJI\",\"KBJI\",47.510722,-94.934722,1391,-6,\"A\",\"America/Chicago\"\n", + "4288,\"Heydar Aliyev\",\"Baku\",\"Azerbaijan\",\"BAK\",\\N,40.4675,50.046667,10,4,\"E\",\"Asia/Baku\"\n", + "4289,\"Thangool\",\"Biloela\",\"Australia\",\"THG\",\"YTNG\",-24.493889,150.576111,644,10,\"O\",\"Australia/Brisbane\"\n", + "4290,\"Fagali\\\\'i\",\"Apia\",\"Samoa\",\"FGI\",\"NSFI\",-13.84861111,-171.74083333,25,13,\"U\",\"Pacific/Apia\"\n", + "4291,\"Ballina Byron Gateway\",\"Ballina Byron Bay\",\"Australia\",\"BNK\",\"YBNA\",-28.833889,153.5625,7,10,\"O\",\"Australia/Sydney\"\n", + "4292,\"Hector International Airport\",\"Fargo\",\"United States\",\"FAR\",\"KFAR\",46.92065,-96.8157639,902,-6,\"A\",\"America/Chicago\"\n", + "4293,\"Downtown\",\"Kansas City\",\"United States\",\"MKC\",\"KMKC\",39.1275,-94.598889,759,-6,\"A\",\"America/Chicago\"\n", + "6505,\"Phoenix-Mesa Gateway\",\"Mesa\",\"United States\",\"AZA\",\"KIWA\",33.307833,-111.655,1382,-7,\"N\",\"America/Phoenix\"\n", + "4295,\"Ratanakiri\",\"Ratanakiri\",\"Cambodia\",\"RBE\",\\N,13.73,106.987,0,7,\"U\",\"Asia/Phnom_Penh\"\n", + "4296,\"Gillette-Campbell County Airport\",\"Gillette\",\"United States\",\"GCC\",\"KGCC\",44.3489167,-105.5393611,4365,-7,\"A\",\"America/Denver\"\n", + "4297,\"Tomsk Bogashevo Airport\",\"Tomsk\",\"Russia\",\"TOF\",\"UNTT\",56.380278,85.208333,597,7,\"N\",\"Asia/Omsk\"\n", + "4298,\"El Toro\",\"Santa Ana\",\"United States\",\"NZJ\",\"KNZJ\",33.676132,-117.731164,383,-8,\"A\",\"America/Los_Angeles\"\n", + "4299,\"Phetchabun\",\"Phetchabun\",\"Thailand\",\"PHY\",\"VTPB\",16.676028,101.195108,450,7,\"U\",\"Asia/Bangkok\"\n", + "4300,\"Chumphon\",\"Chumphon\",\"Thailand\",\"CJM\",\"VTSE\",10.7112,99.361706,18,7,\"U\",\"Asia/Bangkok\"\n", + "4301,\"Jiuzhaigou Huanglong\",\"Jiuzhaigou\",\"China\",\"JZH\",\"ZUJZ\",32.857,103.683,11311,8,\"U\",\"Asia/Chongqing\"\n", + "4302,\"Wai Sha Airport\",\"Shantou\",\"China\",\"SWA\",\"ZGOW\",23.4,116.683,0,8,\"U\",\"Asia/Chongqing\"\n", + "4303,\"Les Ailerons\",\"Enghien-moisselles\",\"France\",\"\",\"LFFE\",0,0,302,0,\"E\",\\N\n", + "4304,\"Cheddi Jagan Intl\",\"Georgetown\",\"Guyana\",\"GEO\",\"SYCJ\",6.498553,-58.254119,95,-4,\"U\",\"America/Guyana\"\n", + "4305,\"Ciudad del Este\",\"Ciudad del Este\",\"Paraguay\",\"AGT\",\"SGES\",-25.4555,-54.843592,846,-4,\"S\",\"America/Asuncion\"\n", + "4306,\"Ogle\",\"Georgetown\",\"Guyana\",\"OGL\",\"SYGO\",6.806944,-58.104444,10,-4,\"U\",\"America/Guyana\"\n", + "4307,\"Kaieteur\",\"Kaieteur\",\"Guyana\",\"KAI\",\"SYKA\",5.167,-59.483,750,-4,\"U\",\"America/Guyana\"\n", + "4308,\"Dunhuang Airport\",\"Dunhuang\",\"China\",\"DNH\",\"ZLDH\",40.094,94.4818,3688,8,\"U\",\"Asia/Chongqing\"\n", + "4309,\"Falconara\",\"Ancona\",\"Italy\",\"AOI\",\"LIPY\",43.616389,13.362222,10,1,\"E\",\"Europe/Rome\"\n", + "4310,\"Samjiyon\",\"Samjiyon\",\"South Korea\",\"\",\"ZZ04\",41.542301,128.243571,4410,8,\"U\",\"Asia/Chongqing\"\n", + "8833,\"Iosco County\",\"East Tawas\",\"United States\",\"ECA\",\"K6D9\",44.311,-83.422,606,-5,\"A\",\"America/New_York\"\n", + "4312,\"Copiapo\",\"Copiapo\",\"Chile\",\"CPO\",\"SCHA\",-27,-70,1000,-4,\"S\",\"America/Santiago\"\n", + "4313,\"Taba Intl\",\"Taba\",\"Egypt\",\"TCP\",\"HETB\",29.587778,34.778056,2415,2,\"U\",\"Africa/Cairo\"\n", + "4314,\"Edward Bodden Airfield\",\"Little Cayman\",\"Cayman Islands\",\"LYB\",\"MWCL\",19.6591666667,-80.09083333,1,-5,\"U\",\"America/Cayman\"\n", + "4315,\"Bodrum - Milas\",\"Bodrum\",\"Turkey\",\"BJV\",\"LTFE\",37.249,27.667,19,2,\"E\",\"Europe/Istanbul\"\n", + "4316,\"7 Novembre\",\"Tabarka\",\"Tunisia\",\"TBJ\",\"DTKA\",36.978333,8.876389,0,1,\"E\",\"Africa/Tunis\"\n", + "4317,\"Sabiha Gokcen\",\"Istanbul\",\"Turkey\",\"SAW\",\"LTFJ\",40.898553,29.309219,312,2,\"E\",\"Europe/Istanbul\"\n", + "4318,\"University Park Airport\",\"State College Pennsylvania\",\"United States\",\"SCE\",\"KUNV\",40.849278,-77.848694,1239,-5,\"A\",\"America/New_York\"\n", + "4319,\"Broome\",\"Broome\",\"Australia\",\"BME\",\"YPBR\",-17.8,122.2,56,8,\"O\",\"Australia/Perth\"\n", + "4320,\"Newcastle Airport\",\"Newcastle\",\"Australia\",\"NTL\",\"YWLM\",-32.78,151.83,31,10,\"O\",\"Australia/Sydney\"\n", + "4321,\"Bakki Airport\",\"Bakki\",\"Iceland\",\"\",\"BIBA\",63.55805,-20.14833,45,0,\"N\",\"Atlantic/Reykjavik\"\n", + "4322,\"Woerthersee International Airport\",\"Klagenfurt\",\"Austria\",\"KLU\",\"LOWK\",46.642514,14.337739,452,1,\"E\",\"Europe/Vienna\"\n", + "4323,\"General Manuel Carlos Piar\",\"Ciudad Guayana\",\"Venezuela\",\"CGU\",\\N,8.288527,-62.760361,472,-4.5,\"U\",\"America/Caracas\"\n", + "4324,\"Flugplatz Hoepen\",\"Schneverdingen\",\"Germany\",\"\",\\N,53.1167,9.8,267,1,\"E\",\"Europe/Berlin\"\n", + "4325,\"Hammerfest Airport\",\"Hammerfest\",\"Norway\",\"HFT\",\"ENHF\",70.679722,23.668889,799,1,\"E\",\"Europe/Oslo\"\n", + "4326,\"Valan\",\"Honningsvag\",\"Norway\",\"HVG\",\"ENHV\",70.99,25.83,46,1,\"E\",\"Europe/Oslo\"\n", + "4327,\"Mehamn\",\"Mehamn\",\"Norway\",\"MEH\",\"ENMR\",71.029722,27.826667,41,1,\"E\",\"Europe/Oslo\"\n", + "4328,\"Airport\",\"Vadso\",\"Norway\",\"VDS\",\"ENVD\",70.065,29.844,127,1,\"E\",\"Europe/Oslo\"\n", + "4329,\"Riem\",\"Munich\",\"Germany\",\"\",\"MUCX\",48.137778,11.690278,1487,1,\"E\",\"Europe/Berlin\"\n", + "4330,\"Imam Khomeini\",\"Tehran\",\"Iran\",\"IKA\",\"OIIE\",35.416111,51.152222,3305,3.5,\"E\",\"Asia/Tehran\"\n", + "4331,\"Mashhad\",\"Mashhad\",\"Iran\",\"MHD\",\"OIMM\",36.234,59.643,3263,3.5,\"E\",\"Asia/Tehran\"\n", + "4332,\"Egelsbach\",\"Egelsbach\",\"Germany\",\"QEF\",\\N,49.9608,8.64361,384,1,\"E\",\"Europe/Berlin\"\n", + "4333,\"Ust-Ilimsk\",\"Ust Ilimsk\",\"Russia\",\"UIK\",\"UIBS\",58.135,102.566,0,9,\"N\",\"Asia/Irkutsk\"\n", + "4334,\"Mudanjiang\",\"Mudanjiang\",\"China\",\"MDG\",\\N,44.523889,129.568889,883,8,\"U\",\"Asia/Chongqing\"\n", + "4335,\"Key Field\",\"Meridian\",\"United States\",\"MEI\",\"KMEI\",32.332624,-88.751868,297,-6,\"A\",\"America/Chicago\"\n", + "4336,\"Abraham Lincoln Capital\",\"Springfield\",\"United States\",\"SPI\",\"KSPI\",39.8441,-89.677889,597,-6,\"A\",\"America/Chicago\"\n", + "4337,\"Uzundzhovo\",\"Haskovo\",\"Bulgaria\",\"HKV\",\"LB14\",41.976375,25.589817,160,2,\"E\",\"Europe/Sofia\"\n", + "4338,\"Cortez Muni\",\"Cortez\",\"United States\",\"CEZ\",\"KCEZ\",37.303,-108.628056,5918,-7,\"A\",\"America/Denver\"\n", + "4339,\"Yampa Valley\",\"Hayden\",\"United States\",\"HDN\",\"KHDN\",40.481181,-107.21766,6602,-7,\"A\",\"America/Denver\"\n", + "4340,\"Gallup Muni\",\"Gallup\",\"United States\",\"GUP\",\"KGUP\",35.511058,-108.789308,6472,-7,\"A\",\"America/Denver\"\n", + "4341,\"Liberal Muni\",\"Liberal\",\"United States\",\"LBL\",\"KLBL\",37.044222,-100.95986,2885,-6,\"A\",\"America/Chicago\"\n", + "4342,\"Lamar Muni\",\"Lamar\",\"United States\",\"LAA\",\"KLAA\",38.069694,-102.6885,3706,-7,\"A\",\"America/Denver\"\n", + "4343,\"Renner Fld\",\"Goodland\",\"United States\",\"GLD\",\"KGLD\",39.370621,-101.698992,3656,-7,\"A\",\"America/Denver\"\n", + "4344,\"Yellowstone Rgnl\",\"Cody\",\"United States\",\"COD\",\"KCOD\",44.520194,-109.023806,5102,-7,\"A\",\"America/Denver\"\n", + "4345,\"Hovden\",\"Orsta-Volda\",\"Norway\",\"HOV\",\"ENOV\",62.18,6.0742,242,1,\"E\",\"Europe/Oslo\"\n", + "4346,\"RNAS WATTON\",\"WATTON\",\"United Kingdom\",\"\",\"EGYR\",52.33,0.51,173,0,\"E\",\"Europe/London\"\n", + "4347,\"ISLES OF SCILLY\",\"ST MARY\\\\'S\",\"United Kingdom\",\"ISC\",\\N,49.919,-6.3075,70,0,\"E\",\"Europe/London\"\n", + "4348,\"Springfield Branson Natl\",\"Springfield\",\"United States\",\"SGF\",\"KSGF\",37.245667,-93.388639,1268,-6,\"A\",\"America/Chicago\"\n", + "4349,\"Framnes\",\"Narvik\",\"Norway\",\"NVK\",\"ENNK\",68.435833,17.388056,97,1,\"E\",\"Europe/Oslo\"\n", + "4350,\"Berlevag\",\"Berlevag\",\"Norway\",\"BVG\",\"ENBV\",70.866667,29,43,1,\"E\",\"Europe/Oslo\"\n", + "4351,\"Fornebu\",\"Oslo\",\"Norway\",\"FBU\",\"ENFB\",59.883333,10.616667,56,1,\"E\",\"Europe/Oslo\"\n", + "4352,\"Alykel\",\"Norilsk\",\"Russia\",\"NSK\",\"UOOO\",69.311053,87.332183,595,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "4353,\"Vityazevo\",\"Anapa\",\"Russia\",\"AAQ\",\"URKA\",45.002097,37.347272,174,4,\"N\",\"Europe/Moscow\"\n", + "4354,\"Joplin Rgnl\",\"Joplin\",\"United States\",\"JLN\",\"KJLN\",37.151814,-94.498269,981,-6,\"A\",\"America/Chicago\"\n", + "4355,\"Lehigh Valley Intl\",\"Allentown\",\"United States\",\"ABE\",\"KABE\",40.652083,-75.440806,393,-5,\"A\",\"America/New_York\"\n", + "4356,\"NW Arkansas Regional\",\"Bentonville\",\"United States\",\"XNA\",\"KXNA\",36.2818694,-94.3068111,1287,-6,\"A\",\"America/Chicago\"\n", + "4357,\"Atyrau\",\"Atyrau\",\"Kazakhstan\",\"GUW\",\"UATG\",47.121944,51.821389,0,5,\"U\",\"Asia/Oral\"\n", + "4358,\"Kzyl-Orda\",\"Kzyl-Orda\",\"Kazakhstan\",\"KZO\",\"UAOO\",44.709,65.591,0,6,\"U\",\"Asia/Qyzylorda\"\n", + "4359,\"South Bend Rgnl\",\"South Bend\",\"United States\",\"SBN\",\"KSBN\",41.708661,-86.31725,799,-5,\"A\",\"America/New_York\"\n", + "4360,\"Bykovo\",\"Moscow\",\"Russia\",\"BKA\",\"UUBB\",55.617222,38.059999,427,4,\"N\",\"Europe/Moscow\"\n", + "4361,\"Chintheche\",\"Chintheche\",\"Malawi\",\"\",\"FWCC\",-11.8333,34.1667,0,2,\"U\",\"Africa/Blantyre\"\n", + "4362,\"Talagi\",\"Arkhangelsk\",\"Russia\",\"ARH\",\"ULAA\",64.360281,40.430167,19,4,\"N\",\"Europe/Moscow\"\n", + "4363,\"Central\",\"Saratov\",\"Russia\",\"RTW\",\"UWSS\",51.334366,46.022952,152,4,\"N\",\"Europe/Moscow\"\n", + "4364,\"Novyi Urengoy\",\"Novy Urengoy\",\"Russia\",\"NUX\",\"USMU\",66.041811,76.313938,20,6,\"N\",\"Asia/Yekaterinburg\"\n", + "4365,\"Noyabrsk\",\"Noyabrsk\",\"Russia\",\"NOJ\",\"USRO\",63.110079,75.162243,20,6,\"N\",\"Asia/Yekaterinburg\"\n", + "6508,\"Washington Union Station\",\"Washington\",\"United States\",\"ZWU\",\\N,38.89746,-77.00643,76,-5,\"A\",\"America/New_York\"\n", + "4367,\"Aktau\",\"Aktau\",\"Kazakhstan\",\"SCO\",\"UATE\",43.86005,51.091978,21,5,\"U\",\"Asia/Oral\"\n", + "4368,\"Ukhta\",\"Ukhta\",\"Russia\",\"UCT\",\\N,63.340297,53.482592,100,4,\"N\",\"Europe/Moscow\"\n", + "4369,\"Usinsk\",\"Usinsk\",\"Russia\",\"USK\",\\N,66.00077,57.221113,20,4,\"N\",\"Europe/Moscow\"\n", + "4370,\"Pechora\",\"Pechora\",\"Russia\",\"PEX\",\\N,65.070387,57.082045,20,4,\"N\",\"Europe/Moscow\"\n", + "4371,\"Naryan-Mar\",\"Naryan-Mar\",\"Russia\",\"NNM\",\"ULAM\",67.380537,53.051016,20,4,\"N\",\"Europe/Moscow\"\n", + "4372,\"Kresty\",\"Pskov\",\"Russia\",\"PKV\",\"ULOO\",57.783917,28.395614,154,4,\"N\",\"Europe/Moscow\"\n", + "4373,\"Kogalym International\",\"Kogalym\",\"Russia\",\"KGP\",\"USRK\",62.18,74.53,220,6,\"N\",\"Asia/Yekaterinburg\"\n", + "4374,\"Emelyanovo\",\"Krasnoyarsk\",\"Russia\",\"KJA\",\"UNKL\",56.18,92.475,940,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "4375,\"Sary-Arka\",\"Karaganda\",\"Kazakhstan\",\"KGF\",\"UAKK\",49.670833,73.334444,1765,6,\"U\",\"Asia/Qyzylorda\"\n", + "4376,\"Severny\",\"Novosibirsk\",\"Russia\",\"\",\"UNCC\",55.1,82.9,560,7,\"N\",\"Asia/Omsk\"\n", + "4377,\"Uraj\",\"Uraj\",\"Russia\",\"URJ\",\"USHU\",60.1,64.83,186,6,\"N\",\"Asia/Yekaterinburg\"\n", + "4378,\"Turkmenabat\",\"Turkmenabat\",\"Turkmenistan\",\"CRZ\",\\N,39.083333,63.602222,630,5,\"U\",\"Asia/Ashgabat\"\n", + "4379,\"Yuzhny\",\"Ivanovo\",\"Russia\",\"IWA\",\"UUBI\",56.939444,40.940833,410,4,\"N\",\"Europe/Moscow\"\n", + "4380,\"Changchun\",\"Changchun\",\"China\",\"CGQ\",\"ZYCC\",43.5412,125.1201,227,8,\"U\",\"Asia/Chongqing\"\n", + "4381,\"Niigata\",\"Niigata\",\"Japan\",\"KIJ\",\"RJSN\",37.5711,139.0646,1,9,\"U\",\"Asia/Tokyo\"\n", + "4382,\"Johnston Atoll\",\"Johnston Island\",\"Johnston Atoll\",\"JON\",\"PJON\",16.7286,-169.534,7,-10,\"U\",\"Pacific/Johnston\"\n", + "4383,\"Smith Fld\",\"Fort Wayne IN\",\"United States\",\"SMD\",\"KSMD\",41.143353,-85.152778,834,-5,\"A\",\"America/New_York\"\n", + "4384,\"Arcata\",\"Arcata CA\",\"United States\",\"ACV\",\"KACV\",40.978111,-124.108611,221,-8,\"A\",\"America/Los_Angeles\"\n", + "4385,\"Camp Mabry Austin City\",\"Austin TX\",\"United States\",\"ATT\",\"KATT\",30.31666,-97.7666,0,-6,\"A\",\"America/Chicago\"\n", + "4386,\"Albert J Ellis\",\"Jacksonville NC\",\"United States\",\"OAJ\",\"KOAJ\",34.829164,-77.612139,94,-5,\"A\",\"America/New_York\"\n", + "4387,\"Tuscaloosa Rgnl\",\"Tuscaloosa AL\",\"United States\",\"TCL\",\"KTCL\",33.220627,-87.611403,170,-6,\"A\",\"America/Chicago\"\n", + "4388,\"Dubuque Rgnl\",\"Dubuque IA\",\"United States\",\"DBQ\",\"KDBQ\",42.402,-90.709472,1076,-6,\"A\",\"America/Chicago\"\n", + "4389,\"Forde Bringeland\",\"Forde\",\"Norway\",\"FDE\",\\N,61.392,5.763,1034,1,\"E\",\"Europe/Oslo\"\n", + "4390,\"Shun Tak Heliport\",\"Hong Kong\",\"Hong Kong\",\"\",\"VHST\",22.289372,114.152153,10,8,\"N\",\"Asia/Hong_Kong\"\n", + "6092,\"Poliarny Airport\",\"Yakutia\",\"Russia\",\"PYJ\",\"UERP\",66.400431,112.030325,1660,10,\"N\",\"Asia/Yakutsk\"\n", + "6090,\"Nakhchivan Airport\",\"Nakhchivan\",\"Azerbaijan\",\"NAJ\",\"UBBN\",39.1888,45.4584,2863,4,\"E\",\"Asia/Baku\"\n", + "6089,\"Ganja Airport\",\"Ganja\",\"Azerbaijan\",\"KVD\",\"UBBG\",40.7377,46.3176,1083,4,\"E\",\"Asia/Baku\"\n", + "6804,\"Torp\",\"Sandefjord\",\"Norway\",\"\",\\N,59.186703,10.258628,286,1,\"E\",\"Europe/Oslo\"\n", + "6086,\"Ust Kamenogorsk Airport\",\"Ust Kamenogorsk\",\"Kazakhstan\",\"UKK\",\"UASK\",50.0366,82.4942,939,6,\"U\",\"Asia/Qyzylorda\"\n", + "6084,\"Petropavlosk South Airport\",\"Petropavlosk\",\"Kazakhstan\",\"PPK\",\"UACP\",54.7747,69.1839,453,6,\"U\",\"Asia/Qyzylorda\"\n", + "6078,\"Les Bases Airport\",\"Grand Bourg\",\"Guadeloupe\",\"GBJ\",\"TFFM\",15.86875,-61.270022,16,-4,\"U\",\"America/Guadeloupe\"\n", + "6077,\"St-François Airport\",\"St-François\",\"Guadeloupe\",\"SFC\",\"TFFC\",16.2578,-61.2625,10,-4,\"U\",\"America/Guadeloupe\"\n", + "6074,\"Codrington Airport\",\"Codrington\",\"Antigua and Barbuda\",\"BBQ\",\"TAPH\",17.6358,-61.8286,15,-4,\"U\",\"America/Antigua\"\n", + "6073,\"Ji-Paraná Airport\",\"Ji-Paraná\",\"Brazil\",\"JPR\",\"SWJI\",-10.8708,-61.8465,598,-4,\"S\",\"America/Boa_Vista\"\n", + "6071,\"Escuela Mariscal Sucre Airport\",\"Maracay\",\"Venezuela\",\"MYC\",\"SVBS\",10.249978,-67.649419,1338,-4.5,\"U\",\"America/Caracas\"\n", + "6068,\"Maria Reiche Neuman Airport\",\"Nazca\",\"Peru\",\"NZA\",\"SPZA\",-14.854192,-74.961811,1860,-5,\"U\",\"America/Lima\"\n", + "6066,\"Mayor General FAP Armando Revoredo Iglesias Airport\",\"Cajamarca\",\"Peru\",\"CJA\",\"SPJR\",-7.139183,-78.4894,8781,-5,\"U\",\"America/Lima\"\n", + "6064,\"Gatokae Airport\",\"Gatokae\",\"Solomon Islands\",\"GTA\",\"\",-8.75,158.2,0,11,\"U\",\"Pacific/Guadalcanal\"\n", + "6063,\"Boorama Airport\",\"Boorama\",\"Somalia\",\"BXX\",\"\",9.933,43.15,0,3,\"U\",\"Africa/Mogadishu\"\n", + "6062,\"Mucuri Airport\",\"Mucuri\",\"Brazil\",\"MVS\",\"SNMU\",-18.0489,-39.8642,276,-3,\"S\",\"America/Fortaleza\"\n", + "6061,\"Zorg en Hoop Airport\",\"Paramaribo\",\"Suriname\",\"ORG\",\"SMZO\",5.81108,-55.1907,10,-3,\"U\",\"America/Paramaribo\"\n", + "6059,\"Reyes Airport\",\"Reyes\",\"Bolivia\",\"REY\",\"SLRY\",-14.3044,-67.3534,935,-4,\"U\",\"America/La_Paz\"\n", + "6057,\"Puerto Rico Airport\",\"Puerto Rico/Manuripi\",\"Bolivia\",\"PUR\",\"SLPR\",-11.1077,-67.5512,597,-4,\"U\",\"America/La_Paz\"\n", + "6055,\"El Alcaraván Airport\",\"Yopal\",\"Colombia\",\"EYP\",\"SKYP\",5.319114,-72.383975,1028,-5,\"U\",\"America/Bogota\"\n", + "6047,\"General Rivadeneira Airport\",\"Esmeraldas\",\"Ecuador\",\"ESM\",\"SETN\",0.978519,-79.6266,32,-5,\"U\",\"America/Guayaquil\"\n", + "6043,\"Pucón Airport\",\"Pucon\",\"Chile\",\"ZPC\",\"SCPC\",-39.2928,-71.9159,853,-4,\"S\",\"America/Santiago\"\n", + "6041,\"Toledo Airport\",\"Toledo\",\"Brazil\",\"TOW\",\"SBTD\",-24.6863,-53.6975,1843,-3,\"S\",\"America/Sao_Paulo\"\n", + "6040,\"Santa Maria Airport\",\"Santa Maria\",\"Brazil\",\"RIA\",\"SBSM\",-29.711358,-53.688153,287,-3,\"S\",\"America/Sao_Paulo\"\n", + "6036,\"Chapada Diamantina Airport\",\"Lençóis\",\"Brazil\",\"LEC\",\"SBLE\",-12.4823,-41.277,1676,-3,\"S\",\"America/Fortaleza\"\n", + "6805,\"Goulburn Airport\",\"Goulburn\",\"Australia\",\"GUL\",\"YGLB\",-34.8103,149.726,2141,10,\"O\",\"Australia/Sydney\"\n", + "6034,\"Orlando Bezerra de Menezes Airport\",\"Juazeiro Do Norte\",\"Brazil\",\"JDO\",\"SBJU\",-7.218958,-39.2701,1392,-3,\"S\",\"America/Fortaleza\"\n", + "6032,\"Santa Teresita Airport\",\"Santa Teresita\",\"Argentina\",\"SST\",\"SAZL\",-36.542317,-56.721756,9,-3,\"N\",\"America/Cordoba\"\n", + "6031,\"Gobernador Gregores Airport\",\"Gobernador Gregores\",\"Argentina\",\"GGS\",\"SAWR\",-48.7831,-70.15,356,-3,\"N\",\"America/Cordoba\"\n", + "6029,\"Antoine De St Exupery Airport\",\"San Antonio Oeste\",\"Argentina\",\"OES\",\"SAVN\",-40.7512,-65.0343,85,-3,\"N\",\"America/Cordoba\"\n", + "6028,\"Las Heras Airport\",\"Las Heras\",\"Argentina\",\"LHS\",\"SAVH\",-46.533056,-68.951111,1082,-3,\"N\",\"America/Cordoba\"\n", + "6027,\"General Enrique Mosconi Airport\",\"Tartagal\",\"Argentina\",\"TTG\",\"SAST\",-22.619167,-63.793189,1472,-3,\"N\",\"America/Cordoba\"\n", + "6025,\"Masbate Airport\",\"Masbate\",\"Philippines\",\"MBT\",\"RPVJ\",12.3694,123.629,26,8,\"N\",\"Asia/Manila\"\n", + "6024,\"Catarman National Airport\",\"Catarman\",\"Philippines\",\"CRM\",\"RPVF\",12.502417,124.635778,6,8,\"N\",\"Asia/Manila\"\n", + "6013,\"Jolo Airport\",\"Jolo\",\"Philippines\",\"JOL\",\"RPMJ\",6.05367,121.011,118,8,\"N\",\"Asia/Manila\"\n", + "6012,\"Camiguin Airport\",\"Camiguin\",\"Philippines\",\"CGM\",\"RPMH\",9.25352,124.707,53,8,\"N\",\"Asia/Manila\"\n", + "6010,\"Cuyo Airport\",\"Cuyo\",\"Philippines\",\"CYU\",\"RPLO\",10.8581,121.069,0,8,\"N\",\"Asia/Manila\"\n", + "6008,\"Cheongju International Airport\",\"Chongju\",\"South Korea\",\"CJJ\",\"RKTU\",36.7166,127.499119,191,9,\"U\",\"Asia/Seoul\"\n", + "6007,\"Sacheon Air Base\",\"Sacheon\",\"South Korea\",\"HIN\",\"RKPS\",35.088543,128.07037,25,9,\"U\",\"Asia/Seoul\"\n", + "6005,\"Wonju Airport\",\"Wonju\",\"South Korea\",\"WJU\",\"RKNW\",37.438081,127.960383,329,9,\"U\",\"Asia/Seoul\"\n", + "6004,\"Mokpo Airport\",\"Mokpo\",\"South Korea\",\"MPK\",\"RKJM\",34.758906,126.379872,23,9,\"U\",\"Asia/Seoul\"\n", + "6003,\"Kunsan Air Base\",\"Kunsan\",\"South Korea\",\"KUV\",\"RKJK\",35.903756,126.615906,29,9,\"U\",\"Asia/Seoul\"\n", + "6002,\"Miyakejima Airport\",\"Miyakejima\",\"Japan\",\"MYE\",\"RJTQ\",34.0736,139.56,67,9,\"U\",\"Asia/Tokyo\"\n", + "6001,\"Shonai Airport\",\"Shonai\",\"Japan\",\"SYO\",\"RJSY\",38.812222,139.787222,86,9,\"U\",\"Asia/Tokyo\"\n", + "6000,\"Odate Noshiro Airport\",\"Odate Noshiro\",\"Japan\",\"ONJ\",\"RJSR\",40.1919,140.371,292,9,\"U\",\"Asia/Tokyo\"\n", + "5999,\"Fukushima Airport\",\"Fukushima\",\"Japan\",\"FKS\",\"RJSF\",37.2274,140.431,1221,9,\"U\",\"Asia/Tokyo\"\n", + "5998,\"Iwami Airport\",\"Iwami\",\"Japan\",\"IWJ\",\"RJOW\",34.6764,131.79,184,9,\"U\",\"Asia/Tokyo\"\n", + "5997,\"Nagoya Airport\",\"Nagoya\",\"Japan\",\"NKM\",\"RJNA\",35.255,136.924,52,9,\"U\",\"Asia/Tokyo\"\n", + "5996,\"Saga Airport\",\"Saga\",\"Japan\",\"HSG\",\"RJFS\",33.1497,130.302,6,9,\"N\",\"Asia/Tokyo\"\n", + "5995,\"Okadama Airport\",\"Sapporo\",\"Japan\",\"OKD\",\"RJCO\",43.1161,141.38,25,9,\"U\",\"Asia/Tokyo\"\n", + "5994,\"Kushiro Airport\",\"Kushiro\",\"Japan\",\"KUH\",\"RJCK\",43.041,144.193,327,9,\"U\",\"Asia/Tokyo\"\n", + "5993,\"Matsu Beigan Airport\",\"Matsu Islands\",\"Taiwan\",\"MFK\",\"RCMT\",26.224153,120.00275,41,8,\"U\",\"Asia/Taipei\"\n", + "5992,\"Hengchun Airport\",\"Hengchun\",\"Taiwan\",\"HCN\",\"RCKW\",22.041075,120.730208,46,8,\"U\",\"Asia/Taipei\"\n", + "5991,\"Matsu Nangan Airport\",\"Matsu Islands\",\"Taiwan\",\"LZN\",\"RCFG\",26.1598,119.958,232,8,\"U\",\"Asia/Taipei\"\n", + "5990,\"Eniwetok Airport\",\"Eniwetok Atoll\",\"Marshall Islands\",\"ENT\",\"PKMA\",11.34075,162.327861,13,12,\"U\",\"Pacific/Majuro\"\n", + "5989,\"Kalaupapa Airport\",\"Molokai\",\"United States\",\"LUP\",\"PHLU\",21.211,-156.974,24,-10,\"A\",\"Pacific/Honolulu\"\n", + "5988,\"El Nido Airport\",\"El Nido\",\"Philippines\",\"ENI\",\"\",11.202,119.417,0,8,\"N\",\"Asia/Manila\"\n", + "5987,\"Wipim Airport\",\"Wipim\",\"Papua New Guinea\",\"WPM\",\"\",-8.78822,142.882,173,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5986,\"Baimuru Airport\",\"Baimuru\",\"Papua New Guinea\",\"VMU\",\"\",-7.49686,144.82,27,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5985,\"Nuku Airport\",\"Nuku\",\"Papua New Guinea\",\"UKU\",\"\",-3.667,142.483,750,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5984,\"Tufi Airport\",\"Tufi\",\"Papua New Guinea\",\"TFI\",\"\",-9.07595,149.32,85,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5983,\"Suki Airport\",\"Suki\",\"Papua New Guinea\",\"SKC\",\"\",-8.033,141.717,24,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5982,\"Balimo Airport\",\"Balimo\",\"Papua New Guinea\",\"OPU\",\"\",-8.05,142.933,51,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5981,\"Obo Airport\",\"Obo\",\"Papua New Guinea\",\"OBX\",\"\",-7.583,141.317,29,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5980,\"Losuia Airport\",\"Losuia\",\"Papua New Guinea\",\"LSA\",\"\",-8.50582,151.081,27,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5979,\"Londolovit Airport\",\"Londolovit\",\"Papua New Guinea\",\"LNV\",\"\",-3.04361,152.629,167,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5978,\"Lake Murray Airport\",\"Lake Murray\",\"Papua New Guinea\",\"LMY\",\"\",-7.00992,141.494,52,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5977,\"Kamusi Airport\",\"Kamusi\",\"Papua New Guinea\",\"KUY\",\"\",-7.42035,143.122,0,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5976,\"Kokoda Airport\",\"Kokoda\",\"Papua New Guinea\",\"KKD\",\"\",-8.88468,147.731,1240,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5975,\"Kandrian Airport\",\"Kandrian\",\"Papua New Guinea\",\"KDR\",\"\",-6.183,149.533,280,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5974,\"Jacquinot Bay Airport\",\"Jacquinot Bay\",\"Papua New Guinea\",\"JAQ\",\"\",-5.6525,151.507,136,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5973,\"Nissan Island Airport\",\"Nissan Island\",\"Papua New Guinea\",\"IIS\",\"\",-4.49972,154.226,52,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5972,\"Ihu Airport\",\"Ihu\",\"Papua New Guinea\",\"IHU\",\"\",-7.89756,145.396,47,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5971,\"Gasmata Island Airport\",\"Gasmata Island\",\"Papua New Guinea\",\"GMI\",\"\",-6.27111,150.331,23,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5970,\"Tadji Airport\",\"Aitape\",\"Papua New Guinea\",\"ATP\",\"\",-3.18985,142.43,48,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5969,\"Wrangell Airport\",\"Wrangell\",\"United States\",\"WRG\",\"PAWG\",56.4843,-132.37,44,-9,\"A\",\"America/Anchorage\"\n", + "5968,\"Chevak Airport\",\"Chevak\",\"United States\",\"VAK\",\"PAVA\",61.5338,-165.584,75,-9,\"A\",\"America/Anchorage\"\n", + "5967,\"Aniak Airport\",\"Aniak\",\"United States\",\"ANI\",\"PANI\",61.5816,-159.543,88,-9,\"A\",\"America/Anchorage\"\n", + "5966,\"Mountain Village Airport\",\"Mountain Village\",\"United States\",\"MOU\",\"PAMO\",62.0954,-163.682,337,-9,\"A\",\"America/Anchorage\"\n", + "5965,\"McGrath Airport\",\"Mcgrath\",\"United States\",\"MCG\",\"PAMC\",62.9529,-155.606,338,-9,\"A\",\"America/Anchorage\"\n", + "5964,\"Kalskag Airport\",\"Kalskag\",\"United States\",\"KLG\",\"PALG\",61.5363,-160.341,55,-9,\"A\",\"America/Anchorage\"\n", + "5963,\"Haines Airport\",\"Haines\",\"United States\",\"HNS\",\"PAHN\",59.2438,-135.524,15,-9,\"A\",\"America/Anchorage\"\n", + "5962,\"Holy Cross Airport\",\"Holy Cross\",\"United States\",\"HCR\",\"PAHC\",62.1883,-159.775,70,-9,\"A\",\"America/Anchorage\"\n", + "5961,\"Skagway Airport\",\"Skagway\",\"United States\",\"SGY\",\"PAGY\",59.4601,-135.316,44,-9,\"A\",\"America/Anchorage\"\n", + "5960,\"Gustavus Airport\",\"Gustavus\",\"United States\",\"GST\",\"PAGS\",58.4253,-135.707,34,-9,\"A\",\"America/Anchorage\"\n", + "5959,\"Adak Airport\",\"Adak Island\",\"United States\",\"ADK\",\"PADK\",51.878,-176.646,18,-9,\"A\",\"America/Anchorage\"\n", + "5958,\"Sambu Airport\",\"Boca de Sábalo\",\"Panama\",\"SAX\",\"\",8.017,-78.2,32,-5,\"U\",\"America/Panama\"\n", + "5957,\"Contadora Airport\",\"Contadora Island\",\"Panama\",\"OTD\",\"\",8.62876,-79.0347,14,-5,\"U\",\"America/Panama\"\n", + "5956,\"EL Real Airport\",\"El Real\",\"Panama\",\"ELE\",\"\",8.133,-77.7,57,-5,\"U\",\"America/Panama\"\n", + "5955,\"Bahia Piña Airport\",\"Bahia Piña\",\"Panama\",\"BFQ\",\"\",7.583,-78.2,14,-5,\"U\",\"America/Panama\"\n", + "5954,\"Sayun International Airport\",\"Sayun Intl\",\"Yemen\",\"GXF\",\"OYSY\",15.966111,48.7883,2097,3,\"U\",\"Asia/Aden\"\n", + "5953,\"Kamishly Airport\",\"Kamishly\",\"Syria\",\"KAC\",\"OSKL\",37.020625,41.191394,1480,2,\"E\",\"Asia/Damascus\"\n", + "5952,\"Sulaymaniyah International Airport\",\"Sulaymaniyah\",\"Iraq\",\"ISU\",\"ORSU\",35.5608,45.3147,2494,3,\"U\",\"Asia/Baghdad\"\n", + "5951,\"Turbat International Airport\",\"Turbat\",\"Pakistan\",\"TUK\",\"OPTU\",25.986369,63.030167,498,5,\"N\",\"Asia/Karachi\"\n", + "5950,\"Sehwan Sharif Airport\",\"Sehwan Sharif\",\"Pakistan\",\"SYW\",\"OPSN\",26.4731,67.7172,121,5,\"N\",\"Asia/Karachi\"\n", + "5949,\"Skardu Airport\",\"Skardu\",\"Pakistan\",\"KDU\",\"OPSD\",35.335508,75.536047,7316,5,\"N\",\"Asia/Karachi\"\n", + "5948,\"Parachinar Airport\",\"Parachinar\",\"Pakistan\",\"PAJ\",\"OPPC\",33.9021,70.0716,5800,5,\"N\",\"Asia/Karachi\"\n", + "5947,\"Ormara Airport\",\"Ormara Raik\",\"Pakistan\",\"ORW\",\"OPOR\",25.2747,64.586,10,5,\"N\",\"Asia/Karachi\"\n", + "5946,\"Khuzdar Airport\",\"Khuzdar\",\"Pakistan\",\"KDD\",\"OPKH\",27.7906,66.6473,4012,5,\"N\",\"Asia/Karachi\"\n", + "5945,\"Hyderabad Airport\",\"Hyderabad\",\"Pakistan\",\"HDD\",\"OPKD\",25.3181,68.3661,130,5,\"N\",\"Asia/Karachi\"\n", + "5944,\"Jiwani Airport\",\"Jiwani\",\"Pakistan\",\"JIW\",\"OPJI\",25.0678,61.8054,186,5,\"N\",\"Asia/Karachi\"\n", + "5943,\"Dera Ismael Khan Airport\",\"Dera Ismael Khan\",\"Pakistan\",\"DSK\",\"OPDI\",31.909422,70.896639,594,5,\"N\",\"Asia/Karachi\"\n", + "5942,\"Dera Ghazi Khan Airport\",\"Dera Ghazi Khan\",\"Pakistan\",\"DEA\",\"OPDG\",29.961011,70.485925,492,5,\"N\",\"Asia/Karachi\"\n", + "5941,\"Dalbandin Airport\",\"Dalbandin\",\"Pakistan\",\"DBA\",\"OPDB\",28.8783,64.3998,2800,5,\"N\",\"Asia/Karachi\"\n", + "5940,\"Chitral Airport\",\"Chitral\",\"Pakistan\",\"CJL\",\"OPCH\",35.886592,71.800578,4920,5,\"N\",\"Asia/Karachi\"\n", + "5939,\"Bahawalpur Airport\",\"Bahawalpur\",\"Pakistan\",\"BHV\",\"OPBW\",29.3481,71.717981,392,5,\"N\",\"Asia/Karachi\"\n", + "5938,\"Bannu Airport\",\"Bannu\",\"Pakistan\",\"BNP\",\"OPBN\",32.9729,70.5279,1325,5,\"N\",\"Asia/Karachi\"\n", + "5937,\"Al Ain International Airport\",\"Al Ain\",\"United Arab Emirates\",\"AAN\",\"OMAL\",24.261667,55.609167,869,4,\"U\",\"Asia/Dubai\"\n", + "5936,\"Uromiyeh Airport\",\"Uromiyeh\",\"Iran\",\"OMH\",\"OITR\",37.6681,45.0687,4343,3.5,\"E\",\"Asia/Tehran\"\n", + "5935,\"Ardabil Airport\",\"Ardabil\",\"Iran\",\"ADU\",\"OITL\",38.325678,48.424356,4315,3.5,\"E\",\"Asia/Tehran\"\n", + "5934,\"Lar Airport\",\"Lar\",\"Iran\",\"LRR\",\"OISL\",27.674725,54.383278,2641,3.5,\"E\",\"Asia/Tehran\"\n", + "5933,\"Sari Dasht E Naz Airport\",\"Dasht-e-naz\",\"Iran\",\"SRY\",\"OINZ\",36.635833,53.193611,35,3.5,\"E\",\"Asia/Tehran\"\n", + "5932,\"Noshahr Airport\",\"Noshahr\",\"Iran\",\"NSH\",\"OINN\",36.663333,51.464722,-61,3.5,\"E\",\"Asia/Tehran\"\n", + "5931,\"Sabzevar National Airport\",\"Sabzevar\",\"Iran\",\"AFZ\",\"OIMS\",36.168083,57.595183,3010,3.5,\"E\",\"Asia/Tehran\"\n", + "5930,\"Bojnourd Airport\",\"Bojnourd\",\"Iran\",\"BJB\",\"OIMN\",37.492958,57.308219,3499,3.5,\"E\",\"Asia/Tehran\"\n", + "5929,\"Rafsanjan Airport\",\"Rafsanjan\",\"Iran\",\"RJN\",\"OIKR\",30.297714,56.051139,5298,3.5,\"E\",\"Asia/Tehran\"\n", + "5928,\"Bam Airport\",\"Bam\",\"Iran\",\"BXR\",\"OIKM\",29.084169,58.450042,3231,3.5,\"E\",\"Asia/Tehran\"\n", + "5927,\"Khoram Abad Airport\",\"Khorram Abad\",\"Iran\",\"KHD\",\"OICK\",33.435378,48.282889,3782,3.5,\"E\",\"Asia/Tehran\"\n", + "5926,\"Wadi Al Dawasir Airport\",\"Wadi-al-dawasir\",\"Saudi Arabia\",\"EWD\",\"OEWD\",20.504275,45.199556,2062,3,\"U\",\"Asia/Riyadh\"\n", + "5925,\"Al-Jawf Domestic Airport\",\"Al-Jawf\",\"Saudi Arabia\",\"AJF\",\"OESK\",29.785133,40.100006,2261,3,\"U\",\"Asia/Riyadh\"\n", + "5924,\"Dawadmi Domestic Airport\",\"Dawadmi\",\"Saudi Arabia\",\"DWD\",\"OEDW\",24.5,44.4,3429,3,\"U\",\"Asia/Riyadh\"\n", + "6506,\"Saul Airport\",\"Saul\",\"French Guiana\",\"XAU\",\"SOOS\",3.61361,-53.2042,656,-3,\"U\",\"America/Cayenne\"\n", + "5922,\"Faizabad Airport\",\"Faizabad\",\"Afghanistan\",\"FBD\",\"OAFZ\",37.1211,70.5181,3872,4.5,\"U\",\"Asia/Kabul\"\n", + "5921,\"ÃŽle des Pins Airport\",\"ÃŽle des Pins\",\"New Caledonia\",\"ILP\",\"NWWE\",-22.5889,167.456,315,11,\"U\",\"Pacific/Noumea\"\n", + "5920,\"Belep Islands Airport\",\"Waala\",\"New Caledonia\",\"BMY\",\"NWWC\",-19.7206,163.661,306,11,\"U\",\"Pacific/Noumea\"\n", + "5919,\"Tiga Airport\",\"Tiga\",\"New Caledonia\",\"TGJ\",\"NWWA\",-21.0961,167.804,128,11,\"U\",\"Pacific/Noumea\"\n", + "5918,\"Ipota Airport\",\"Ipota\",\"Vanuatu\",\"IPA\",\"NVVI\",-18.8783,169.308,23,11,\"U\",\"Pacific/Efate\"\n", + "5917,\"Futuna Airport\",\"Futuna Island\",\"Vanuatu\",\"FTA\",\"NVVF\",-19.5164,170.232,0,11,\"U\",\"Pacific/Efate\"\n", + "5916,\"Dillon's Bay Airport\",\"Dillon's Bay\",\"Vanuatu\",\"DLY\",\"NVVD\",-18.7694,169.001,538,11,\"U\",\"Pacific/Efate\"\n", + "5915,\"Aniwa Airport\",\"Aniwa\",\"Vanuatu\",\"AWD\",\"NVVB\",-19.24,169.605,69,11,\"U\",\"Pacific/Efate\"\n", + "5914,\"Anelghowhat Airport\",\"Anelghowhat\",\"Vanuatu\",\"AUY\",\"NVVA\",-20.2492,169.771,7,11,\"U\",\"Pacific/Efate\"\n", + "5913,\"North West Santo Airport\",\"Olpoi\",\"Vanuatu\",\"OLZ\",\"NVSZ\",-14.8817,166.558,0,11,\"U\",\"Pacific/Efate\"\n", + "5912,\"Southwest Bay Airport\",\"Malekula Island\",\"Vanuatu\",\"SWJ\",\"NVSX\",-16.495,167.438,0,11,\"U\",\"Pacific/Efate\"\n", + "5911,\"Valesdir Airport\",\"Valesdir\",\"Vanuatu\",\"VLS\",\"NVSV\",-16.7961,168.177,10,11,\"U\",\"Pacific/Efate\"\n", + "5910,\"Uléi Airport\",\"Ambryn Island\",\"Vanuatu\",\"ULB\",\"NVSU\",-16.333,168.283,0,11,\"U\",\"Pacific/Efate\"\n", + "5909,\"Tongoa Island Airport\",\"Tongoa Island\",\"Vanuatu\",\"TGH\",\"NVST\",-16.8911,168.551,443,11,\"U\",\"Pacific/Efate\"\n", + "5908,\"Santo Pekoa International Airport\",\"Santo\",\"Vanuatu\",\"SON\",\"NVSS\",-15.505033,167.219742,184,11,\"U\",\"Pacific/Efate\"\n", + "5907,\"Redcliffe Airport\",\"Redcliffe\",\"Vanuatu\",\"RCL\",\"NVSR\",-15.472,167.835,36,11,\"U\",\"Pacific/Efate\"\n", + "5906,\"Gaua Island Airport\",\"Gaua Island\",\"Vanuatu\",\"ZGU\",\"NVSQ\",-14.2181,167.587,0,11,\"U\",\"Pacific/Efate\"\n", + "5905,\"Norsup Airport\",\"Norsup\",\"Vanuatu\",\"NUS\",\"NVSP\",-16.0797,167.401,23,11,\"U\",\"Pacific/Efate\"\n", + "5904,\"Lonorore Airport\",\"Lonorore\",\"Vanuatu\",\"LNE\",\"NVSO\",-15.8656,168.172,43,11,\"U\",\"Pacific/Efate\"\n", + "5903,\"Naone Airport\",\"Maewo Island\",\"Vanuatu\",\"MWF\",\"NVSN\",-15,168.083,0,11,\"U\",\"Pacific/Efate\"\n", + "5902,\"Lamen Bay Airport\",\"Lamen Bay\",\"Vanuatu\",\"LNB\",\"NVSM\",-16.5842,168.159,7,11,\"U\",\"Pacific/Efate\"\n", + "5901,\"Lamap Airport\",\"Lamap\",\"Vanuatu\",\"LPM\",\"NVSL\",-16.454,167.823,7,11,\"U\",\"Pacific/Efate\"\n", + "5900,\"Tavie Airport\",\"Paama Island\",\"Vanuatu\",\"PBJ\",\"NVSI\",-16.439,168.257,0,11,\"U\",\"Pacific/Efate\"\n", + "5899,\"Sara Airport\",\"Pentecost Island\",\"Vanuatu\",\"SSR\",\"NVSH\",-15.4708,168.152,0,11,\"U\",\"Pacific/Efate\"\n", + "5898,\"Longana Airport\",\"Longana\",\"Vanuatu\",\"LOD\",\"NVSG\",-15.3067,167.967,167,11,\"U\",\"Pacific/Efate\"\n", + "5897,\"Craig Cove Airport\",\"Craig Cove\",\"Vanuatu\",\"CCV\",\"NVSF\",-16.265,167.924,69,11,\"U\",\"Pacific/Efate\"\n", + "5896,\"Sangafa Airport\",\"Sangafa\",\"Vanuatu\",\"EAE\",\"NVSE\",-17.0903,168.343,7,11,\"U\",\"Pacific/Efate\"\n", + "5895,\"Torres Airstrip\",\"Loh/Linua\",\"Vanuatu\",\"TOH\",\"NVSD\",-13.328,166.638,0,11,\"U\",\"Pacific/Efate\"\n", + "5894,\"Sola Airport\",\"Sola\",\"Vanuatu\",\"SLH\",\"NVSC\",-13.8517,167.537,7,11,\"U\",\"Pacific/Efate\"\n", + "5893,\"Mota Lava Airport\",\"Ablow\",\"Vanuatu\",\"MTV\",\"NVSA\",-13.666,167.712,63,11,\"U\",\"Pacific/Efate\"\n", + "5892,\"Ua Huka Airport\",\"Ua Huka\",\"French Polynesia\",\"UAH\",\"NTMU\",-8.93611,-139.552,160,-9.5,\"U\",\"Pacific/Marquesas\"\n", + "5891,\"Ua Pou Airport\",\"Ua Pou\",\"French Polynesia\",\"UAP\",\"NTMP\",-9.35167,-140.078,16,-9.5,\"U\",\"Pacific/Marquesas\"\n", + "5890,\"Hiva Oa-Atuona Airport\",\"Hiva-oa\",\"French Polynesia\",\"AUQ\",\"NTMN\",-9.768794,-139.011256,1481,-9.5,\"U\",\"Pacific/Marquesas\"\n", + "5889,\"Ahe Airport\",\"Ahe\",\"French Polynesia\",\"AHE\",\"NTHE\",-14.4281,-146.257,11,-10,\"U\",\"Pacific/Tahiti\"\n", + "5888,\"Apataki Airport\",\"Apataki\",\"French Polynesia\",\"APK\",\"NTGD\",-15.5736,-146.415,8,-10,\"U\",\"Pacific/Tahiti\"\n", + "5887,\"Maota Airport\",\"Savaii Island\",\"Samoa\",\"MXS\",\"NSMA\",-13.733,-172.3,0,13,\"U\",\"Pacific/Apia\"\n", + "5886,\"Mountain Airport\",\"Mountain\",\"Nepal\",\"MWP\",\"\",28,85.333,0,5.75,\"N\",\"Asia/Katmandu\"\n", + "5885,\"Pointe Vele Airport\",\"Futuna Island\",\"Wallis and Futuna\",\"FUT\",\"NLWF\",-14.3114,-178.066,20,12,\"U\",\"Pacific/Wallis\"\n", + "5884,\"Niue International Airport\",\"Alofi\",\"Niue\",\"IUE\",\"NIUE\",-19.080028,-169.925639,209,-11,\"U\",\"Pacific/Niue\"\n", + "5883,\"Vanua Balavu Airport\",\"Vanua Balavu\",\"Fiji\",\"VBV\",\"NFVB\",-17.269,-178.976,76,12,\"U\",\"Pacific/Fiji\"\n", + "5882,\"Kuini Lavenia Airport\",\"Niuatoputapu\",\"Tonga\",\"NTT\",\"NFTP\",-15.9767,-173.755,0,13,\"U\",\"Pacific/Tongatapu\"\n", + "5881,\"Mata'aho Airport\",\"Angaha, Niuafo'ou Island\",\"Tonga\",\"NFO\",\"NFTO\",-15.5708,-175.633,160,13,\"U\",\"Pacific/Tongatapu\"\n", + "5880,\"Lifuka Island Airport\",\"Lifuka\",\"Tonga\",\"HPA\",\"NFTL\",-19.777,-174.341,31,13,\"U\",\"Pacific/Tongatapu\"\n", + "5879,\"Kaufana Airport\",\"Eua Island\",\"Tonga\",\"EUA\",\"NFTE\",-21.3783,-174.958,325,13,\"U\",\"Pacific/Tongatapu\"\n", + "5878,\"Savusavu Airport\",\"Savusavu\",\"Fiji\",\"SVU\",\"NFNS\",-16.8028,179.341,17,12,\"U\",\"Pacific/Fiji\"\n", + "5877,\"Rotuma Airport\",\"Rotuma\",\"Fiji\",\"RTA\",\"NFNR\",-12.4825,177.071,22,12,\"U\",\"Pacific/Fiji\"\n", + "5876,\"Koro Island Airport\",\"Koro Island\",\"Fiji\",\"KXF\",\"NFNO\",-17.3458,179.422,358,12,\"U\",\"Pacific/Fiji\"\n", + "5875,\"Matei Airport\",\"Matei\",\"Fiji\",\"TVU\",\"NFNM\",-16.6906,-179.877,60,12,\"U\",\"Pacific/Fiji\"\n", + "5874,\"Labasa Airport\",\"Lambasa\",\"Fiji\",\"LBS\",\"NFNL\",-16.466749,179.33986,44,12,\"U\",\"Pacific/Fiji\"\n", + "5873,\"Lakeba Island Airport\",\"Lakeba Island\",\"Fiji\",\"LKB\",\"NFNK\",-18.1992,-178.817,280,12,\"U\",\"Pacific/Fiji\"\n", + "5872,\"Ngau Airport\",\"Ngau\",\"Fiji\",\"NGI\",\"NFNG\",-18.1156,179.34,50,12,\"U\",\"Pacific/Fiji\"\n", + "5871,\"Moala Airport\",\"Moala\",\"Fiji\",\"MFJ\",\"NFMO\",-18.5667,179.951,13,12,\"U\",\"Pacific/Fiji\"\n", + "5870,\"Mana Island Airport\",\"Mana Island\",\"Fiji\",\"MNF\",\"NFMA\",-17.6731,177.098,0,12,\"U\",\"Pacific/Fiji\"\n", + "5869,\"Vunisea Airport\",\"Vunisea\",\"Fiji\",\"KDV\",\"NFKD\",-19.0581,178.157,6,12,\"U\",\"Pacific/Fiji\"\n", + "5868,\"Malolo Lailai Island Airport\",\"Malolo Lailai Island\",\"Fiji\",\"PTF\",\"NFFO\",-17.7779,177.197,10,12,\"U\",\"Pacific/Fiji\"\n", + "5867,\"Cicia Airport\",\"Cicia\",\"Fiji\",\"ICI\",\"NFCI\",-17.7433,-179.342,13,12,\"U\",\"Pacific/Fiji\"\n", + "5866,\"Penrhyn Island Airport\",\"Penrhyn Island\",\"Cook Islands\",\"PYE\",\"NCPY\",-9.00667,-158.037,8,-10,\"U\",\"Pacific/Rarotonga\"\n", + "5865,\"Mitiaro Island Airport\",\"Mitiaro Island\",\"Cook Islands\",\"MOI\",\"NCMR\",-19.8425,-157.703,25,-10,\"U\",\"Pacific/Rarotonga\"\n", + "5864,\"Mauke Airport\",\"Mauke Island\",\"Cook Islands\",\"MUK\",\"NCMK\",-20.1361,-157.345,26,-10,\"U\",\"Pacific/Rarotonga\"\n", + "5863,\"Manihiki Island Airport\",\"Manihiki Island\",\"Cook Islands\",\"MHX\",\"NCMH\",-10.3767,-161.002,0,-10,\"U\",\"Pacific/Rarotonga\"\n", + "5862,\"Mangaia Island Airport\",\"Mangaia Island\",\"Cook Islands\",\"MGS\",\"NCMG\",-21.8956,-157.905,45,-10,\"U\",\"Pacific/Rarotonga\"\n", + "5861,\"Atiu Island Airport\",\"Atiu Island\",\"Cook Islands\",\"AIU\",\"NCAT\",-19.9678,-158.119,36,-10,\"U\",\"Pacific/Rarotonga\"\n", + "5860,\"Nassau Paradise Island Airport\",\"Nassau\",\"Bahamas\",\"PID\",\"MYPI\",25.083,-77.3,0,-5,\"U\",\"America/Nassau\"\n", + "5859,\"Colonel Hill Airport\",\"Colonel Hill\",\"Bahamas\",\"CRI\",\"MYCI\",22.745561,-74.182353,5,-5,\"U\",\"America/Nassau\"\n", + "5858,\"New Bight Airport\",\"Cat Island\",\"Bahamas\",\"CAT\",\"MYCB\",24.315292,-75.452331,5,-5,\"U\",\"America/Nassau\"\n", + "5857,\"Arthurs Town Airport\",\"Arthur's Town\",\"Bahamas\",\"ATC\",\"MYCA\",24.629417,-75.673775,18,-5,\"U\",\"America/Nassau\"\n", + "5856,\"Congo Town Airport\",\"Andros\",\"Bahamas\",\"COX\",\"MYAK\",24.158933,-77.589758,15,-5,\"U\",\"America/Nassau\"\n", + "5855,\"Long Banga Airport\",\"Long Banga\",\"Malaysia\",\"LBP\",\"\",3.18495,115.454,750,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "5854,\"Salina Cruz Naval Air Station\",\"Salina Cruz\",\"Mexico\",\"SCX\",\"MM57\",16.2126,-95.2016,75,-6,\"S\",\"America/Mexico_City\"\n", + "5853,\"Alberto Delgado Airport\",\"Trinidad\",\"Cuba\",\"TND\",\"MUTD\",21.788461,-79.997203,125,-5,\"U\",\"America/Havana\"\n", + "5852,\"Cayo Coco Airport\",\"Cayo Coco\",\"Cuba\",\"CCC\",\"MUOC\",22.5132,-78.511,6,-5,\"U\",\"America/Havana\"\n", + "5851,\"Port-de-Paix Airport\",\"Port-de-Paix\",\"Haiti\",\"PAX\",\"MTPX\",19.9336,-72.8486,9,-5,\"U\",\"America/Port-au-Prince\"\n", + "5850,\"Jeremie Airport\",\"Jeremie\",\"Haiti\",\"JEE\",\"MTJE\",18.6631,-74.1703,147,-5,\"U\",\"America/Port-au-Prince\"\n", + "5849,\"Playa Samara Airport\",\"Playa Samara\",\"Costa Rica\",\"PLD\",\"MRSR\",10.25,-85.417,10,-6,\"U\",\"America/Costa_Rica\"\n", + "5848,\"Tobias Bolanos International Airport\",\"San Jose\",\"Costa Rica\",\"SYQ\",\"MRPV\",9.957053,-84.139797,3287,-6,\"U\",\"America/Costa_Rica\"\n", + "5847,\"Puerto Jimenez Airport\",\"Puerto Jimenez\",\"Costa Rica\",\"PJM\",\"MRPJ\",8.53333,-83.3,7,-6,\"U\",\"America/Costa_Rica\"\n", + "5845,\"Islita Airport\",\"Nandayure\",\"Costa Rica\",\"PBP\",\"MRIA\",9.85611,-85.3708,7,-6,\"U\",\"America/Costa_Rica\"\n", + "5844,\"Cabo Velas Airport\",\"Nicoya\",\"Costa Rica\",\"TNO\",\"MRCV\",10.3557,-85.852892,33,-6,\"U\",\"America/Costa_Rica\"\n", + "5843,\"Barra del Colorado Airport\",\"Pococi\",\"Costa Rica\",\"BCL\",\"MRBC\",10.768736,-83.585614,3,-6,\"U\",\"America/Costa_Rica\"\n", + "5842,\"Aerotortuguero Airport\",\"Roxana\",\"Costa Rica\",\"TTQ\",\"MRAO\",10.569,-83.5148,82,-6,\"U\",\"America/Costa_Rica\"\n", + "5841,\"Captain Ramon Xatruch Airport\",\"La Palma\",\"Panama\",\"PLP\",\"MPLP\",8.40667,-78.1417,30,-5,\"U\",\"America/Panama\"\n", + "5840,\"Jaqué Airport\",\"Jaqué\",\"Panama\",\"JQE\",\"MPJE\",7.51778,-78.1572,29,-5,\"U\",\"America/Panama\"\n", + "5839,\"Enrique Adolfo Jimenez Airport\",\"Colón\",\"Panama\",\"ONX\",\"MPEJ\",9.35664,-79.8674,25,-5,\"U\",\"America/Panama\"\n", + "5838,\"Alonso Valderrama Airport\",\"Chitré\",\"Panama\",\"CTD\",\"MPCE\",7.98784,-80.4097,33,-5,\"U\",\"America/Panama\"\n", + "5837,\"Lencero Airport\",\"Jalapa\",\"Mexico\",\"JAL\",\"MMJA\",19.475083,-96.797506,3127,-6,\"S\",\"America/Mexico_City\"\n", + "5836,\"Guerrero Negro Airport\",\"Guerrero Negro\",\"Mexico\",\"GUB\",\"MMGR\",28.0261,-114.024,59,-8,\"S\",\"America/Tijuana\"\n", + "5835,\"Ciudad Constitución Airport\",\"Ciudad Constitución\",\"Mexico\",\"CUA\",\"MMDA\",25.0538,-111.615,213,-7,\"S\",\"America/Mazatlan\"\n", + "5834,\"Captain Rogelio Castillo National Airport\",\"Celaya\",\"Mexico\",\"CYW\",\"MMCY\",20.545994,-100.88655,5709,-6,\"S\",\"America/Mexico_City\"\n", + "5833,\"Mili Island Airport\",\"Mili Island\",\"Marshall Islands\",\"MIJ\",\"MLIP\",6.08333,171.733,4,12,\"U\",\"Pacific/Majuro\"\n", + "5832,\"Puerto Lempira Airport\",\"Puerto Lempira\",\"Honduras\",\"PEU\",\"MHPL\",15.2622,-83.7812,25,-6,\"U\",\"America/Tegucigalpa\"\n", + "5831,\"Ahuas Airport\",\"Ahuas\",\"Honduras\",\"AHS\",\"MHAH\",15.4722,-84.3522,98,-6,\"U\",\"America/Tegucigalpa\"\n", + "5830,\"Wotho Island Airport\",\"Wotho Island\",\"Marshall Islands\",\"WTO\",\"\",10.1733,166.003,0,12,\"U\",\"Pacific/Majuro\"\n", + "5829,\"Wotje Atoll Airport\",\"Wotje Atoll\",\"Marshall Islands\",\"WTE\",\"N36\",9.46667,170.233,4,12,\"U\",\"Pacific/Majuro\"\n", + "5828,\"Woja Airport\",\"Majuro Atoll\",\"Marshall Islands\",\"WJA\",\"\",7.083,171.133,0,12,\"U\",\"Pacific/Majuro\"\n", + "5827,\"Jaluit Airport\",\"Jabor Jaluit Atoll\",\"Marshall Islands\",\"UIT\",\"N55\",5.90924,169.637,4,12,\"U\",\"Pacific/Majuro\"\n", + "5826,\"Rongelap Island Airport\",\"Rongelap Island\",\"Marshall Islands\",\"RNP\",\"\",11.1572,166.887,0,12,\"U\",\"Pacific/Majuro\"\n", + "5825,\"Namorik Atoll Airport\",\"Namorik Atoll\",\"Marshall Islands\",\"NDK\",\"3N0\",5.63167,168.125,15,12,\"U\",\"Pacific/Majuro\"\n", + "5824,\"Majkin Airport\",\"Majkin\",\"Marshall Islands\",\"MJE\",\"\",7.833,168.167,0,12,\"U\",\"Pacific/Majuro\"\n", + "5823,\"Mejit Atoll Airport\",\"Mejit Atoll\",\"Marshall Islands\",\"MJB\",\"Q30\",10.2833,170.883,5,12,\"U\",\"Pacific/Majuro\"\n", + "5822,\"Maloelap Island Airport\",\"Maloelap Island\",\"Marshall Islands\",\"MAV\",\"\",8.70444,171.23,0,12,\"U\",\"Pacific/Majuro\"\n", + "5821,\"Likiep Airport\",\"Likiep Island\",\"Marshall Islands\",\"LIK\",\"\",9.82316,169.308,0,12,\"U\",\"Pacific/Majuro\"\n", + "5820,\"Kaben Airport\",\"Kaben\",\"Marshall Islands\",\"KBT\",\"\",8.90056,170.844,0,12,\"U\",\"Pacific/Majuro\"\n", + "5819,\"Jeh Airport\",\"Ailinglapalap Atoll\",\"Marshall Islands\",\"JEJ\",\"\",7.56535,168.962,0,12,\"U\",\"Pacific/Majuro\"\n", + "5818,\"Jabot Airport\",\"Ailinglapalap Atoll\",\"Marshall Islands\",\"JAT\",\"\",7.45235,168.552,0,12,\"U\",\"Pacific/Majuro\"\n", + "5817,\"Enyu Airfield\",\"Bikini Atoll\",\"Marshall Islands\",\"BII\",\"\",11.5225,165.565,0,12,\"U\",\"Pacific/Majuro\"\n", + "5816,\"Aur Island Airport\",\"Aur Atoll\",\"Marshall Islands\",\"AUL\",\"\",8.14528,171.173,0,12,\"U\",\"Pacific/Majuro\"\n", + "5815,\"Ailuk Airport\",\"Ailuk Island\",\"Marshall Islands\",\"AIM\",\"\",10.2168,169.983,0,12,\"U\",\"Pacific/Majuro\"\n", + "5814,\"Utirik Airport\",\"Utirik Island\",\"Marshall Islands\",\"UTK\",\"03N\",11.222,169.852,4,12,\"U\",\"Pacific/Majuro\"\n", + "5813,\"Quezaltenango Airport\",\"Quezaltenango\",\"Guatemala\",\"AAZ\",\"MGQZ\",14.8656,-91.502,7779,-6,\"U\",\"America/Guatemala\"\n", + "5812,\"Puerto Barrios Airport\",\"Puerto Barrios\",\"Guatemala\",\"PBR\",\"MGPB\",15.730878,-88.583767,33,-6,\"U\",\"America/Guatemala\"\n", + "5811,\"Dr Joaquin Balaguer International Airport\",\"La Isabela\",\"Dominican Republic\",\"JBQ\",\"MDJB\",18.5725,-69.9856,98,-4,\"U\",\"America/Santo_Domingo\"\n", + "5810,\"Samaná El Catey International Airport\",\"Samana\",\"Dominican Republic\",\"AZS\",\"MDCY\",19.267,-69.742,30,-4,\"U\",\"America/Santo_Domingo\"\n", + "5809,\"Salt Cay Airport\",\"Salt Cay\",\"Turks and Caicos Islands\",\"SLX\",\"MBSY\",21.333,-71.2,3,-5,\"U\",\"America/Grand_Turk\"\n", + "5808,\"Middle Caicos Airport\",\"Middle Caicos\",\"Turks and Caicos Islands\",\"MDS\",\"MBMC\",21.833,-71.817,9,-5,\"U\",\"America/Grand_Turk\"\n", + "5807,\"JAGS McCartney International Airport\",\"Cockburn Town\",\"Turks and Caicos Islands\",\"GDT\",\"MBGT\",21.4445,-71.1423,13,-5,\"U\",\"America/Grand_Turk\"\n", + "5806,\"Žilina Airport\",\"Žilina\",\"Slovakia\",\"ILZ\",\"LZZI\",49.231528,18.6135,1020,1,\"E\",\"Europe/Bratislava\"\n", + "5805,\"Ubari Airport\",\"Ubari\",\"Libya\",\"QUB\",\"\",26.5675,12.8231,1387,2,\"N\",\"Africa/Tripoli\"\n", + "5804,\"Misratah Airport\",\"Misratah\",\"Libya\",\"MRA\",\"\",32.325,15.061,60,2,\"N\",\"Africa/Tripoli\"\n", + "5803,\"Samsun-ÇarÅŸamba Airport\",\"Samsun\",\"Turkey\",\"SZF\",\"LTFH\",41.2545,36.5671,18,2,\"E\",\"Europe/Istanbul\"\n", + "5802,\"Balikesir Korfez Airport\",\"Balikesir Korfez\",\"Turkey\",\"EDO\",\"LTFD\",39.5546,27.0138,50,2,\"E\",\"Europe/Istanbul\"\n", + "5801,\"Isparta Süleyman Demirel Airport\",\"Isparta\",\"Turkey\",\"ISE\",\"LTFC\",37.8554,30.3684,2835,2,\"E\",\"Europe/Istanbul\"\n", + "5800,\"Adiyaman Airport\",\"Adiyaman\",\"Turkey\",\"ADF\",\"LTCP\",37.7314,38.4689,2216,2,\"E\",\"Europe/Istanbul\"\n", + "5799,\"Agri Airport\",\"Agri\",\"Turkey\",\"AJI\",\"LTCO\",39.6546,43.0271,5462,2,\"E\",\"Europe/Istanbul\"\n", + "5798,\"Kahramanmaras Airport\",\"Kahramanmaras\",\"Turkey\",\"KCM\",\"LTCN\",37.539,36.9534,1723,2,\"E\",\"Europe/Istanbul\"\n", + "5797,\"Sanliurfa Airport\",\"Sanliurfa\",\"Turkey\",\"SFQ\",\"LTCH\",37.094261,38.847103,1483,2,\"E\",\"Europe/Istanbul\"\n", + "5796,\"Kars Airport\",\"Kars\",\"Turkey\",\"KSY\",\"LTCF\",40.562222,43.115002,5889,2,\"E\",\"Europe/Istanbul\"\n", + "5795,\"Usak Airport\",\"Usak\",\"Turkey\",\"USQ\",\"LTBO\",38.681478,29.471675,2897,2,\"E\",\"Europe/Istanbul\"\n", + "5794,\"Banja Luka International Airport\",\"Banja Luka\",\"Bosnia and Herzegovina\",\"BNX\",\"LQBK\",44.941444,17.297501,400,1,\"E\",\"Europe/Sarajevo\"\n", + "5793,\"Corvo Airport\",\"Corvo\",\"Portugal\",\"CVU\",\"LPCR\",39.6715,-31.1136,0,-1,\"E\",\"Atlantic/Azores\"\n", + "5792,\"Salerno Pontecagnano Airport\",\"Salerno\",\"Italy\",\"QSR\",\"LIRI\",40.6204,14.911294,123,1,\"E\",\"Europe/Rome\"\n", + "5791,\"Aosta Airport\",\"Aosta\",\"Italy\",\"AOT\",\"LIMW\",45.738456,7.368719,1791,1,\"E\",\"Europe/Rome\"\n", + "5790,\"Sármellék International Airport\",\"Sármellék\",\"Hungary\",\"SOB\",\"LHSM\",46.686389,17.159056,408,1,\"N\",\"Europe/Budapest\"\n", + "5789,\"GyÅ‘r-Pér International Airport\",\"GyÅ‘r\",\"Hungary\",\"QGY\",\"LHPR\",47.627097,17.808347,424,1,\"N\",\"Europe/Budapest\"\n", + "5788,\"Pécs-Pogány Airport\",\"Pécs-Pogány\",\"Hungary\",\"PEV\",\"LHPP\",45.990928,18.240983,1000,1,\"N\",\"Europe/Budapest\"\n", + "5787,\"Syros Airport\",\"Syros Island\",\"Greece\",\"JSY\",\"LGSO\",37.422792,24.950936,236,2,\"E\",\"Europe/Athens\"\n", + "5786,\"La Môle Airport\",\"La Môle\",\"France\",\"LTT\",\"LFTZ\",43.2054,6.482,59,1,\"E\",\"Europe/Paris\"\n", + "6810,\"EuroAirport\",\"Mulhouse\",\"France\",\"EAP\",\\N,47.589583,7.529914,885,1,\"E\",\"Europe/Paris\"\n", + "6511,\"Tekapo\",\"Lake Tekapo\",\"New Zealand\",\"\",\"NZTL\",-44,170.28,2,12,\"Z\",\"Pacific/Auckland\"\n", + "5783,\"Angers-Loire Airport\",\"Angers/Marcé\",\"France\",\"ANE\",\"LFJR\",47.5603,-0.312222,194,1,\"E\",\"Europe/Paris\"\n", + "5782,\"ÃŽle d'Yeu Airport\",\"ÃŽle d'Yeu\",\"France\",\"IDY\",\"LFEY\",46.718611,-2.391111,79,1,\"E\",\"Europe/Paris\"\n", + "5781,\"Logroño-Agoncillo Airport\",\"Logroño-Agoncillo\",\"Spain\",\"RJL\",\"LELO\",42.4542,-2.32083,1161,1,\"E\",\"Europe/Madrid\"\n", + "5780,\"Ercan International Airport\",\"Nicosia\",\"Cyprus\",\"ECN\",\"LCEN\",35.1547,33.4961,404,2,\"E\",\"Asia/Nicosia\"\n", + "5779,\"Yakima Air Terminal McAllister Field\",\"Yakima\",\"United States\",\"YKM\",\"KYKM\",46.5682,-120.544,1095,-8,\"A\",\"America/Los_Angeles\"\n", + "5778,\"Kiwayu (Mkononi) Airport\",\"Kiwayu\",\"Kenya\",\"KWY\",\"\",-1.96056,41.2975,21,3,\"U\",\"Africa/Nairobi\"\n", + "5777,\"Worland Municipal Airport\",\"Worland\",\"United States\",\"WRL\",\"KWRL\",43.9657,-107.951,4227,-7,\"A\",\"America/Denver\"\n", + "5776,\"Valdosta Regional Airport\",\"Valdosta\",\"United States\",\"VLD\",\"KVLD\",30.7825,-83.2767,203,-5,\"A\",\"America/New_York\"\n", + "5775,\"Victoria Regional Airport\",\"Victoria\",\"United States\",\"VCT\",\"KVCT\",28.8526,-96.9185,115,-6,\"A\",\"America/Chicago\"\n", + "5774,\"Quincy Regional Baldwin Field\",\"Quincy\",\"United States\",\"UIN\",\"KUIN\",39.9427,-91.1946,769,-6,\"A\",\"America/Chicago\"\n", + "5773,\"Tupelo Regional Airport\",\"Tupelo\",\"United States\",\"TUP\",\"KTUP\",34.2681,-88.7699,346,-6,\"A\",\"America/Chicago\"\n", + "5772,\"Santa Maria Pub Cpt G Allan Hancock Airport\",\"Santa Maria\",\"United States\",\"SMX\",\"KSMX\",34.8989,-120.457,261,-8,\"A\",\"America/Los_Angeles\"\n", + "5771,\"Salina Municipal Airport\",\"Salina\",\"United States\",\"SLN\",\"KSLN\",38.791,-97.6522,1288,-6,\"A\",\"America/Chicago\"\n", + "5770,\"Adirondack Regional Airport\",\"Saranac Lake\",\"United States\",\"SLK\",\"KSLK\",44.3853,-74.2062,1663,-5,\"A\",\"America/New_York\"\n", + "5769,\"Sheridan County Airport\",\"Sheridan\",\"United States\",\"SHR\",\"KSHR\",44.7692,-106.98,4021,-7,\"A\",\"America/Denver\"\n", + "5768,\"San Luis County Regional Airport\",\"San Luis Obispo\",\"United States\",\"SBP\",\"KSBP\",35.2368,-120.642,212,-8,\"A\",\"America/Los_Angeles\"\n", + "5767,\"Rutland State Airport\",\"Rutland\",\"United States\",\"RUT\",\"KRUT\",43.5294,-72.9496,787,-5,\"A\",\"America/New_York\"\n", + "5766,\"Rock Springs Sweetwater County Airport\",\"Rock Springs\",\"United States\",\"RKS\",\"KRKS\",41.5942,-109.065,6760,-7,\"A\",\"America/Denver\"\n", + "5765,\"Rhinelander Oneida County Airport\",\"Rhinelander\",\"United States\",\"RHI\",\"KRHI\",45.6312,-89.4675,1624,-6,\"A\",\"America/Chicago\"\n", + "5764,\"Reading Regional Carl A Spaatz Field\",\"Reading\",\"United States\",\"RDG\",\"KRDG\",40.3785,-75.9652,344,-5,\"A\",\"America/New_York\"\n", + "5763,\"Pease International Tradeport\",\"Portsmouth\",\"United States\",\"PSM\",\"KPSM\",43.0779,-70.8233,100,-5,\"A\",\"America/New_York\"\n", + "5762,\"Pellston Regional Airport of Emmet County Airport\",\"Pellston\",\"United States\",\"PLN\",\"KPLN\",45.5709,-84.7967,720,-5,\"A\",\"America/New_York\"\n", + "5761,\"Pierre Regional Airport\",\"Pierre\",\"United States\",\"PIR\",\"KPIR\",44.3827,-100.286,1742,-6,\"A\",\"America/Chicago\"\n", + "5760,\"Pocatello Regional Airport\",\"Pocatello\",\"United States\",\"PIH\",\"KPIH\",42.9098,-112.596,4452,-7,\"A\",\"America/Denver\"\n", + "5759,\"Hattiesburg Laurel Regional Airport\",\"Hattiesburg/Laurel\",\"United States\",\"PIB\",\"KPIB\",31.4671,-89.3371,298,-6,\"A\",\"America/Chicago\"\n", + "5758,\"Owensboro Daviess County Airport\",\"Owensboro\",\"United States\",\"OWB\",\"KOWB\",37.7401,-87.1668,406,-6,\"A\",\"America/Chicago\"\n", + "5757,\"Southwest Oregon Regional Airport\",\"North Bend\",\"United States\",\"OTH\",\"KOTH\",43.4171,-124.246,17,-8,\"A\",\"America/Los_Angeles\"\n", + "5756,\"Northwest Alabama Regional Airport\",\"Muscle Shoals\",\"United States\",\"MSL\",\"KMSL\",34.7453,-87.6102,550,-6,\"A\",\"America/Chicago\"\n", + "5755,\"Frank Wiley Field\",\"Miles City\",\"United States\",\"MLS\",\"KMLS\",46.428,-105.886,2630,-7,\"A\",\"America/Denver\"\n", + "5754,\"Muskegon County Airport\",\"Muskegon\",\"United States\",\"MKG\",\"KMKG\",43.1695,-86.2382,628,-5,\"A\",\"America/New_York\"\n", + "5753,\"Lynchburg Regional Preston Glenn Field\",\"Lynchburg\",\"United States\",\"LYH\",\"KLYH\",37.3267,-79.2004,938,-5,\"A\",\"America/New_York\"\n", + "5752,\"Lewistown Municipal Airport\",\"Lewistown\",\"United States\",\"LWT\",\"KLWT\",47.0493,-109.467,4170,-7,\"A\",\"America/Denver\"\n", + "5751,\"Lancaster Airport\",\"Lancaster\",\"United States\",\"LNS\",\"KLNS\",40.1217,-76.2961,403,-5,\"A\",\"America/New_York\"\n", + "5750,\"Klamath Falls Airport\",\"Klamath Falls\",\"United States\",\"LMT\",\"KLMT\",42.1561,-121.733,4095,-8,\"A\",\"America/Los_Angeles\"\n", + "5749,\"Lebanon Municipal Airport\",\"Lebanon\",\"United States\",\"LEB\",\"KLEB\",43.6261,-72.3042,603,-5,\"A\",\"America/New_York\"\n", + "5748,\"North Platte Regional Airport Lee Bird Field\",\"North Platte\",\"United States\",\"LBF\",\"KLBF\",41.1262,-100.684,2776,-6,\"A\",\"America/Chicago\"\n", + "5747,\"Arnold Palmer Regional Airport\",\"Latrobe\",\"United States\",\"LBE\",\"KLBE\",40.2759,-79.4048,1185,-5,\"A\",\"America/New_York\"\n", + "5746,\"Laramie Regional Airport\",\"Laramie\",\"United States\",\"LAR\",\"KLAR\",41.3121,-105.675,7284,-7,\"A\",\"America/Denver\"\n", + "5745,\"Jamestown Regional Airport\",\"Jamestown\",\"United States\",\"JMS\",\"KJMS\",46.9297,-98.6782,1498,-6,\"A\",\"America/Chicago\"\n", + "5744,\"Kirksville Regional Airport\",\"Kirksville\",\"United States\",\"IRK\",\"KIRK\",40.0935,-92.5449,966,-6,\"A\",\"America/Chicago\"\n", + "5743,\"Kili Airport\",\"Kili Island\",\"Marshall Islands\",\"KIO\",\"Q51\",5.64452,169.12,5,12,\"U\",\"Pacific/Majuro\"\n", + "5742,\"Tri State Milton J Ferguson Field\",\"Huntington\",\"United States\",\"HTS\",\"KHTS\",38.3667,-82.558,828,-5,\"A\",\"America/New_York\"\n", + "5741,\"Memorial Field\",\"Hot Springs\",\"United States\",\"HOT\",\"KHOT\",34.478,-93.0962,540,-6,\"A\",\"America/Chicago\"\n", + "5740,\"Central Nebraska Regional Airport\",\"Grand Island\",\"United States\",\"GRI\",\"KGRI\",40.9675,-98.3096,1847,-6,\"A\",\"America/Chicago\"\n", + "5739,\"Wokal Field Glasgow International Airport\",\"Glasgow\",\"United States\",\"GGW\",\"KGGW\",48.2125,-106.615,2296,-7,\"A\",\"America/Denver\"\n", + "5738,\"Fayetteville Regional Grannis Field\",\"Fayetteville\",\"United States\",\"FAY\",\"KFAY\",34.9912,-78.8803,189,-5,\"A\",\"America/New_York\"\n", + "5737,\"New Bedford Regional Airport\",\"New Bedford\",\"United States\",\"EWB\",\"KEWB\",41.6761,-70.9569,80,-5,\"A\",\"America/New_York\"\n", + "5736,\"Elko Regional Airport\",\"Elko\",\"United States\",\"EKO\",\"KEKO\",40.8249,-115.792,5140,-8,\"A\",\"America/Los_Angeles\"\n", + "5735,\"Chippewa Valley Regional Airport\",\"Eau Claire\",\"United States\",\"EAU\",\"KEAU\",44.8658,-91.4843,913,-6,\"A\",\"America/Chicago\"\n", + "5734,\"DuBois Regional Airport\",\"Du Bois\",\"United States\",\"DUJ\",\"KDUJ\",41.1783,-78.8987,1817,-5,\"A\",\"America/New_York\"\n", + "5733,\"Dodge City Regional Airport\",\"Dodge City\",\"United States\",\"DDC\",\"KDDC\",37.7634,-99.9656,2594,-6,\"A\",\"America/Chicago\"\n", + "5732,\"Houghton County Memorial Airport\",\"Hancock\",\"United States\",\"CMX\",\"KCMX\",47.1684,-88.4891,1095,-5,\"A\",\"America/New_York\"\n", + "5731,\"William R Fairchild International Airport\",\"Port Angeles\",\"United States\",\"CLM\",\"KCLM\",48.1202,-123.5,291,-8,\"A\",\"America/Los_Angeles\"\n", + "5730,\"Harrison Marion Regional Airport\",\"Clarksburg\",\"United States\",\"CKB\",\"KCKB\",39.2966,-80.2281,1217,-5,\"A\",\"America/New_York\"\n", + "5729,\"Chippewa County International Airport\",\"Sault Ste Marie\",\"United States\",\"CIU\",\"KCIU\",46.2508,-84.4724,800,-5,\"A\",\"America/New_York\"\n", + "5728,\"Cape Girardeau Regional Airport\",\"Cape Girardeau\",\"United States\",\"CGI\",\"KCGI\",37.2253,-89.5708,342,-6,\"A\",\"America/Chicago\"\n", + "5727,\"Del Norte County Airport\",\"Crescent City\",\"United States\",\"CEC\",\"KCEC\",41.7802,-124.237,57,-8,\"A\",\"America/Los_Angeles\"\n", + "5726,\"Southeast Iowa Regional Airport\",\"Burlington\",\"United States\",\"BRL\",\"KBRL\",40.7832,-91.1255,698,-6,\"A\",\"America/Chicago\"\n", + "5725,\"Brunswick Golden Isles Airport\",\"Brunswick\",\"United States\",\"BQK\",\"KBQK\",31.2588,-81.4665,26,-5,\"A\",\"America/New_York\"\n", + "5724,\"Raleigh County Memorial Airport\",\"Beckley\",\"United States\",\"BKW\",\"KBKW\",37.7873,-81.1242,2504,-5,\"A\",\"America/New_York\"\n", + "5723,\"Western Nebraska Regional Airport\",\"Scottsbluff\",\"United States\",\"BFF\",\"KBFF\",41.874,-103.596,3967,-7,\"A\",\"America/Denver\"\n", + "5722,\"Bradford Regional Airport\",\"Bradford\",\"United States\",\"BFD\",\"KBFD\",41.8031,-78.6401,2143,-5,\"A\",\"America/New_York\"\n", + "5721,\"Watertown Regional Airport\",\"Watertown\",\"United States\",\"ATY\",\"KATY\",44.914,-97.1547,1748,-6,\"A\",\"America/Chicago\"\n", + "5720,\"Alpena County Regional Airport\",\"Alpena\",\"United States\",\"APN\",\"KAPN\",45.0781,-83.5603,689,-5,\"A\",\"America/New_York\"\n", + "5719,\"Walla Walla Regional Airport\",\"Walla Walla\",\"United States\",\"ALW\",\"KALW\",46.0949,-118.288,1191,-8,\"A\",\"America/Los_Angeles\"\n", + "5718,\"Waterloo Regional Airport\",\"Waterloo\",\"United States\",\"ALO\",\"KALO\",42.5571,-92.4003,873,-6,\"A\",\"America/Chicago\"\n", + "5717,\"Alamogordo White Sands Regional Airport\",\"Alamogordo\",\"United States\",\"ALM\",\"KALM\",32.8399,-105.991,4200,-7,\"A\",\"America/Denver\"\n", + "5716,\"Athens Ben Epps Airport\",\"Athens\",\"United States\",\"AHN\",\"KAHN\",33.9486,-83.3263,808,-5,\"A\",\"America/New_York\"\n", + "5715,\"Southwest Georgia Regional Airport\",\"Albany\",\"United States\",\"ABY\",\"KABY\",31.5355,-84.1945,197,-5,\"A\",\"America/New_York\"\n", + "5714,\"Aberdeen Regional Airport\",\"Aberdeen\",\"United States\",\"ABR\",\"KABR\",45.4491,-98.4218,1302,-6,\"A\",\"America/Chicago\"\n", + "5713,\"San Domino Island Heliport\",\"Tremiti Islands\",\"Italy\",\"TQR\",\"\",42.1025,15.488,0,1,\"E\",\"Europe/Rome\"\n", + "5712,\"Gheshm Airport\",\"Gheshm\",\"Iran\",\"GSM\",\"\",26.9487,56.2688,100,3.5,\"E\",\"Asia/Tehran\"\n", + "5711,\"Diu Airport\",\"Diu\",\"India\",\"DIU\",\"VA1P\",20.7131,70.9211,31,5.5,\"N\",\"Asia/Calcutta\"\n", + "5710,\"Gulu Airport\",\"Gulu\",\"Uganda\",\"ULU\",\"HUGU\",2.805556,32.271792,3510,3,\"U\",\"Africa/Kampala\"\n", + "5709,\"Arua Airport\",\"Arua\",\"Uganda\",\"RUA\",\"HUAR\",3.05,30.917,3951,3,\"U\",\"Africa/Kampala\"\n", + "5708,\"Tabora Airport\",\"Tabora\",\"Tanzania\",\"TBO\",\"HTTB\",-5.07639,32.8333,3868,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "5707,\"Shinyanga Airport\",\"Shinyanga\",\"Tanzania\",\"SHY\",\"HTSY\",-3.667,33.417,3800,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "5706,\"Musoma Airport\",\"Musoma\",\"Tanzania\",\"MUZ\",\"HTMU\",-1.483,33.8,3806,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "5705,\"Kikwetu Airport\",\"Lindi\",\"Tanzania\",\"LDI\",\"HTLI\",-9.85111,39.7578,100,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "5704,\"Kigoma Airport\",\"Kigoma\",\"Tanzania\",\"TKQ\",\"HTKA\",-4.883,29.633,2700,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "5703,\"Bukoba Airport\",\"Bukoba\",\"Tanzania\",\"BKZ\",\"HTBU\",-1.3,31.8,3745,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "5702,\"Port Sudan New International Airport\",\"Port Sudan\",\"Sudan\",\"PZU\",\"HSPN\",19.4336,37.2341,135,3,\"U\",\"Africa/Khartoum\"\n", + "5701,\"Nyala Airport\",\"Nyala\",\"Sudan\",\"UYL\",\"HSNN\",12.0535,24.9562,2106,3,\"U\",\"Africa/Khartoum\"\n", + "5700,\"Atbara Airport\",\"Atbara\",\"Sudan\",\"ATB\",\"HSAT\",17.7,33.967,1181,3,\"U\",\"Africa/Khartoum\"\n", + "5699,\"La Abraq Airport\",\"Al Bayda'\",\"Libya\",\"LAQ\",\"HLLQ\",32.788673,21.964333,2157,2,\"N\",\"Africa/Tripoli\"\n", + "5698,\"Mitiga Airport\",\"Tripoli\",\"Libya\",\"MJI\",\"HLLM\",32.8941,13.276,36,2,\"N\",\"Africa/Tripoli\"\n", + "5697,\"Gamal Abdel Nasser Airport\",\"Tobruk\",\"Libya\",\"TOB\",\"HLGN\",31.861,23.907,519,2,\"N\",\"Africa/Tripoli\"\n", + "5696,\"Gardabya Airport\",\"Sirt\",\"Libya\",\"SRX\",\"HLGD\",31.0635,16.595,267,2,\"N\",\"Africa/Tripoli\"\n", + "5695,\"Nanyuki Civil Airport\",\"Nanyuki\",\"Kenya\",\"NYK\",\"HKNY\",-0.067,37.033,6250,3,\"U\",\"Africa/Nairobi\"\n", + "5694,\"Malindi Airport\",\"Malindi\",\"Kenya\",\"MYD\",\"HKML\",-3.22931,40.1017,80,3,\"U\",\"Africa/Nairobi\"\n", + "5693,\"Lokichoggio Airport\",\"Lokichoggio\",\"Kenya\",\"LKG\",\"HKLK\",4.204117,34.348186,2074,3,\"U\",\"Africa/Nairobi\"\n", + "5692,\"Amboseli Airport\",\"Amboseli National Park\",\"Kenya\",\"ASV\",\"HKAM\",-2.64505,37.2531,3755,3,\"U\",\"Africa/Nairobi\"\n", + "5691,\"Asyut International Airport\",\"Asyut\",\"Egypt\",\"ATZ\",\"HEAT\",27.046508,31.011983,772,2,\"U\",\"Africa/Cairo\"\n", + "5690,\"El Arish International Airport\",\"El Arish\",\"Egypt\",\"AAC\",\"HEAR\",31.073333,33.835833,121,2,\"U\",\"Africa/Cairo\"\n", + "5689,\"Burao Airport\",\"Burao\",\"Somalia\",\"BUO\",\"HCMV\",9.517,45.567,3400,3,\"U\",\"Africa/Mogadishu\"\n", + "5688,\"Galcaio Airport\",\"Galcaio\",\"Somalia\",\"GLK\",\"HCMR\",6.78083,47.4547,975,3,\"U\",\"Africa/Mogadishu\"\n", + "5687,\"Aden Adde International Airport\",\"Mogadishu\",\"Somalia\",\"MGQ\",\"HCMM\",2.01444,45.3047,29,3,\"U\",\"Africa/Mogadishu\"\n", + "5686,\"Bosaso Airport\",\"Bosaso\",\"Somalia\",\"BSA\",\"HCMF\",11.2753,49.1494,3,3,\"U\",\"Africa/Mogadishu\"\n", + "5685,\"Alula Airport\",\"Alula\",\"Somalia\",\"ALU\",\"HCMA\",11.95,50.733,6,3,\"U\",\"Africa/Mogadishu\"\n", + "5684,\"Tippi Airport\",\"Tippi\",\"Ethiopia\",\"TIE\",\"HATP\",7.117,35.383,1100,3,\"U\",\"Africa/Addis_Ababa\"\n", + "5683,\"Mizan Teferi Airport\",\"Mizan Teferi\",\"Ethiopia\",\"MTF\",\"HAMT\",6.967,35.533,4396,3,\"U\",\"Africa/Addis_Ababa\"\n", + "5682,\"Kabri Dehar Airport\",\"Kabri Dehar\",\"Ethiopia\",\"ABK\",\"HAKD\",6.734,44.253,1800,3,\"U\",\"Africa/Addis_Ababa\"\n", + "5681,\"Gore Airport\",\"Gore\",\"Ethiopia\",\"GOR\",\"HAGR\",8.167,35.55,6580,3,\"U\",\"Africa/Addis_Ababa\"\n", + "5680,\"Gode Airport\",\"Gode\",\"Ethiopia\",\"GDE\",\"HAGO\",5.935128,43.578567,834,3,\"U\",\"Africa/Addis_Ababa\"\n", + "5679,\"Dembidollo Airport\",\"Dembidollo\",\"Ethiopia\",\"DEM\",\"HADD\",8.554,34.858,5200,3,\"U\",\"Africa/Addis_Ababa\"\n", + "5678,\"Combolcha Airport\",\"Dessie\",\"Ethiopia\",\"DSE\",\"HADC\",11.0825,39.7114,6117,3,\"U\",\"Africa/Addis_Ababa\"\n", + "5677,\"Beica Airport\",\"Beica\",\"Ethiopia\",\"BEI\",\"HABE\",9.38639,34.5219,5410,3,\"U\",\"Africa/Addis_Ababa\"\n", + "5676,\"Baco Airport\",\"Baco\",\"Ethiopia\",\"BCO\",\"HABC\",5.78287,36.562,0,3,\"U\",\"Africa/Addis_Ababa\"\n", + "5675,\"Sao Filipe Airport\",\"Sao Filipe, Fogo Island\",\"Cape Verde\",\"SFL\",\"GVSF\",14.885,-24.48,617,-1,\"U\",\"Atlantic/Cape_Verde\"\n", + "5674,\"Praia International Airport\",\"Praia, Santiago Island\",\"Cape Verde\",\"RAI\",\"GVNP\",14.9245,-23.4935,230,-1,\"U\",\"Atlantic/Cape_Verde\"\n", + "5673,\"El Aroui Airport\",\"El Aroui\",\"Morocco\",\"NDR\",\"GMMW\",34.9888,-3.02821,574,0,\"N\",\"Africa/Casablanca\"\n", + "5672,\"Hassan I Airport\",\"El Aaiún\",\"Western Sahara\",\"EUN\",\"GMML\",27.1517,-13.2192,207,0,\"N\",\"Africa/El_Aaiun\"\n", + "5671,\"Mogador Airport\",\"Essadouira\",\"Morocco\",\"ESU\",\"GMMI\",31.3975,-9.681667,384,0,\"N\",\"Africa/Casablanca\"\n", + "5670,\"Dakhla Airport\",\"Dakhla\",\"Western Sahara\",\"VIL\",\"GMMH\",23.7183,-15.932,36,0,\"N\",\"Africa/El_Aaiun\"\n", + "5669,\"Smara Airport\",\"Smara\",\"Western Sahara\",\"SMW\",\"GMMA\",26.7318,-11.6847,350,0,\"N\",\"Africa/El_Aaiun\"\n", + "5668,\"Iginniarfik Heliport\",\"Iginniarfik\",\"Greenland\",\"QFI\",\"\",68.7,-52.9667,0,-3,\"E\",\"America/Godthab\"\n", + "5667,\"Akunnaaq Heliport\",\"Akunnaaq\",\"Greenland\",\"QCU\",\"\",68.75,-52.3333,0,-3,\"E\",\"America/Godthab\"\n", + "5666,\"Groennedal Heliport\",\"Groennedal\",\"Greenland\",\"JGR\",\"\",61.2333,-48.1,0,-3,\"E\",\"America/Godthab\"\n", + "5665,\"Osvaldo Vieira International Airport\",\"Bissau\",\"Guinea-Bissau\",\"OXB\",\"GGOV\",11.89485,-15.653681,129,0,\"N\",\"Africa/Bissau\"\n", + "5664,\"Kenema Airport\",\"Kenema\",\"Sierra Leone\",\"KEN\",\"GFKE\",7.89129,-11.1766,485,0,\"N\",\"Africa/Freetown\"\n", + "5663,\"Bo Airport\",\"Bo\",\"Sierra Leone\",\"KBS\",\"GFBO\",7.9444,-11.761,328,0,\"N\",\"Africa/Freetown\"\n", + "5662,\"Sherbro International Airport\",\"Bonthe\",\"Sierra Leone\",\"BTE\",\"GFBN\",7.53242,-12.5189,14,0,\"N\",\"Africa/Freetown\"\n", + "5661,\"Ceuta Heliport\",\"Ceuta\",\"Spain\",\"JCU\",\"GECT\",35.8969,-5.29908,0,1,\"E\",\"Europe/Madrid\"\n", + "5660,\"Lauriston Airport\",\"Carriacou Island\",\"Grenada\",\"CRU\",\"\",12.4761,-61.4728,0,-4,\"U\",\"America/Grenada\"\n", + "5659,\"La Gomera Airport\",\"La Gomera\",\"Spain\",\"GMZ\",\"GCGM\",28.0296,-17.2146,718,0,\"E\",\"Atlantic/Canary\"\n", + "5658,\"Papa Stour Airport\",\"Papa Stour\",\"United Kingdom\",\"PSV\",\"\",60.3217,-1.69306,0,0,\"E\",\"Europe/London\"\n", + "5657,\"Outer Skerries Airport\",\"Outer Skerries\",\"United Kingdom\",\"OUK\",\"\",60.417,-0.75,0,0,\"E\",\"Europe/London\"\n", + "5656,\"Foula Airport\",\"Foula\",\"United Kingdom\",\"FOA\",\"\",60.121,-2.052,0,0,\"E\",\"Europe/London\"\n", + "5655,\"Gamba\",\"Gamba\",\"Gabon\",\"GAX\",\"\",-2.71016,9.96062,73,1,\"N\",\"Africa/Libreville\"\n", + "5654,\"Ilebo Airport\",\"Ilebo\",\"Congo (Kinshasa)\",\"PFR\",\"FZVS\",-4.333,20.583,1450,2,\"N\",\"Africa/Lubumbashi\"\n", + "5653,\"Lodja Airport\",\"Lodja\",\"Congo (Kinshasa)\",\"LJA\",\"FZVA\",-3.417,23.45,1647,2,\"N\",\"Africa/Lubumbashi\"\n", + "5652,\"Tshikapa Airport\",\"Tshikapa\",\"Congo (Kinshasa)\",\"TSH\",\"FZUK\",-6.43833,20.7947,1595,2,\"N\",\"Africa/Lubumbashi\"\n", + "5651,\"Basankusu Airport\",\"Basankusu\",\"Congo (Kinshasa)\",\"BSU\",\"FZEN\",1.22472,19.7889,1217,1,\"N\",\"Africa/Kinshasa\"\n", + "5650,\"Basango Mboliasa Airport\",\"Kiri\",\"Congo (Kinshasa)\",\"KRZ\",\"FZBT\",-1.435,19.024,1013,1,\"N\",\"Africa/Kinshasa\"\n", + "5649,\"Nioki Airport\",\"Nioki\",\"Congo (Kinshasa)\",\"NIO\",\"FZBI\",-2.7175,17.6847,1043,1,\"N\",\"Africa/Kinshasa\"\n", + "5648,\"Inongo Airport\",\"Inongo\",\"Congo (Kinshasa)\",\"INO\",\"FZBA\",-1.94722,18.2858,1040,1,\"N\",\"Africa/Kinshasa\"\n", + "5647,\"Tshimpi Airport\",\"Matadi\",\"Congo (Kinshasa)\",\"MAT\",\"FZAM\",-5.79961,13.4404,1115,1,\"N\",\"Africa/Kinshasa\"\n", + "5646,\"Boma Airport\",\"Boma\",\"Congo (Kinshasa)\",\"BOA\",\"FZAJ\",-5.854,13.064,26,1,\"N\",\"Africa/Kinshasa\"\n", + "5645,\"Eros Airport\",\"Windhoek\",\"Namibia\",\"ERS\",\"FYWE\",-22.6122,17.0804,5575,1,\"S\",\"Africa/Windhoek\"\n", + "5644,\"Swakopmund Airport\",\"Swakopmund\",\"Namibia\",\"SWP\",\"FYSM\",-22.6619,14.5681,207,1,\"S\",\"Africa/Windhoek\"\n", + "5643,\"Oranjemund Airport\",\"Oranjemund\",\"Namibia\",\"OMD\",\"FYOG\",-28.5847,16.4467,14,1,\"S\",\"Africa/Windhoek\"\n", + "5642,\"Ondangwa Airport\",\"Ondangwa\",\"Namibia\",\"OND\",\"FYOA\",-17.8782,15.9526,3599,1,\"S\",\"Africa/Windhoek\"\n", + "5641,\"Luderitz Airport\",\"Luderitz\",\"Namibia\",\"LUD\",\"FYLZ\",-26.6874,15.2429,457,1,\"S\",\"Africa/Windhoek\"\n", + "5640,\"Club Makokola Airport\",\"Club Makokola\",\"Malawi\",\"CMK\",\"FWCM\",-14.3069,35.1325,1587,2,\"U\",\"Africa/Blantyre\"\n", + "5639,\"Sarh Airport\",\"Sarh\",\"Chad\",\"SRH\",\"FTTA\",9.14444,18.3744,1198,1,\"N\",\"Africa/Ndjamena\"\n", + "5638,\"Croisette Heliport\",\"Cannes\",\"France\",\"JCA\",\"\",43.536,7.03736,0,1,\"E\",\"Europe/Paris\"\n", + "5637,\"Chimoio Airport\",\"Chimoio\",\"Mozambique\",\"VPY\",\"FQCH\",-19.151267,33.428958,2287,2,\"U\",\"Africa/Maputo\"\n", + "5636,\"Tchibanga Airport\",\"Tchibanga\",\"Gabon\",\"TCH\",\"FOOT\",-2.85,11.017,269,1,\"N\",\"Africa/Libreville\"\n", + "5635,\"Mouilla Ville Airport\",\"Mouila\",\"Gabon\",\"MJL\",\"FOGM\",-1.84514,11.0567,295,1,\"N\",\"Africa/Libreville\"\n", + "5634,\"Koulamoutou Airport\",\"Koulamoutou\",\"Gabon\",\"KOU\",\"FOGK\",-1.18461,12.4413,1070,1,\"N\",\"Africa/Libreville\"\n", + "5633,\"Namibe Airport\",\"Mocamedes\",\"Angola\",\"MSZ\",\"FNMO\",-15.261222,12.146756,210,1,\"N\",\"Africa/Luanda\"\n", + "5632,\"Ondjiva Pereira Airport\",\"Ondjiva\",\"Angola\",\"VPE\",\"FNGI\",-17.043464,15.683822,3566,1,\"N\",\"Africa/Luanda\"\n", + "5631,\"Dundo Airport\",\"Dundo\",\"Angola\",\"DUE\",\"FNDU\",-7.40089,20.8185,2451,1,\"N\",\"Africa/Luanda\"\n", + "5630,\"Catumbela Airport\",\"Catumbela\",\"Angola\",\"CBT\",\"FNCT\",-12.4792,13.4869,0,1,\"N\",\"Africa/Luanda\"\n", + "5629,\"Manja Airport\",\"Manja\",\"Madagascar\",\"MJA\",\"FMSJ\",-21.417,44.317,787,3,\"U\",\"Indian/Antananarivo\"\n", + "5628,\"Mandritsara Airport\",\"Mandritsara\",\"Madagascar\",\"WMA\",\"FMNX\",-15.817,48.833,1007,3,\"U\",\"Indian/Antananarivo\"\n", + "5627,\"Tsaratanana Airport\",\"Tsaratanana\",\"Madagascar\",\"TTS\",\"FMNT\",-16.75,47.617,1073,3,\"U\",\"Indian/Antananarivo\"\n", + "5626,\"Mampikony Airport\",\"Mampikony\",\"Madagascar\",\"WMP\",\"FMNP\",-16.049,47.622,0,3,\"U\",\"Indian/Antananarivo\"\n", + "5625,\"Soalala Airport\",\"Soalala\",\"Madagascar\",\"DWB\",\"FMNO\",-16.083,45.367,141,3,\"U\",\"Indian/Antananarivo\"\n", + "5624,\"Ambanja Airport\",\"Ambanja\",\"Madagascar\",\"IVA\",\"FMNJ\",-13.65,48.467,36,3,\"U\",\"Indian/Antananarivo\"\n", + "5623,\"Port Bergé Airport\",\"Port Bergé\",\"Madagascar\",\"WPB\",\"FMNG\",-15.583,47.617,213,3,\"U\",\"Indian/Antananarivo\"\n", + "5622,\"Ambatondrazaka Airport\",\"Ambatondrazaka\",\"Madagascar\",\"WAM\",\"FMMZ\",-17.8,48.433,2513,3,\"U\",\"Indian/Antananarivo\"\n", + "5621,\"Tsiroanomandidy Airport\",\"Tsiroanomandidy\",\"Madagascar\",\"WTS\",\"FMMX\",-18.75,46.05,2776,3,\"U\",\"Indian/Antananarivo\"\n", + "5620,\"Tambohorano Airport\",\"Tambohorano\",\"Madagascar\",\"WTA\",\"FMMU\",-17.4761,43.9728,23,3,\"U\",\"Indian/Antananarivo\"\n", + "5619,\"Morafenobe Airport\",\"Morafenobe\",\"Madagascar\",\"TVA\",\"FMMR\",-17.85,44.917,748,3,\"U\",\"Indian/Antananarivo\"\n", + "5618,\"Maintirano Airport\",\"Maintirano\",\"Madagascar\",\"MXT\",\"FMMO\",-18.05,44.033,95,3,\"U\",\"Indian/Antananarivo\"\n", + "5617,\"Belo sur Tsiribihina Airport\",\"Belo sur Tsiribihina\",\"Madagascar\",\"BMD\",\"FMML\",-19.6867,44.5419,154,3,\"U\",\"Indian/Antananarivo\"\n", + "5616,\"Ankavandra Airport\",\"Ankavandra\",\"Madagascar\",\"JVA\",\"FMMK\",-18.8,45.283,427,3,\"U\",\"Indian/Antananarivo\"\n", + "5615,\"Antsalova Airport\",\"Antsalova\",\"Madagascar\",\"WAQ\",\"FMMG\",-18.7,44.617,551,3,\"U\",\"Indian/Antananarivo\"\n", + "5614,\"Iconi Airport\",\"Moroni\",\"Comoros\",\"YVA\",\"FMCN\",-11.7108,43.2439,33,3,\"U\",\"Indian/Comoro\"\n", + "5613,\"Solwesi Airport\",\"Solwesi\",\"Zambia\",\"SLI\",\"FLSW\",-12.1737,26.3651,4551,2,\"U\",\"Africa/Lusaka\"\n", + "5612,\"Chipata Airport\",\"Chipata\",\"Zambia\",\"CIP\",\"FLCP\",-13.5583,32.5872,3360,2,\"U\",\"Africa/Lusaka\"\n", + "5611,\"Loubomo Airport\",\"Loubomo\",\"Congo (Brazzaville)\",\"DIS\",\"FCPL\",-4.2,12.7,1079,1,\"N\",\"Africa/Brazzaville\"\n", + "5610,\"Limpopo Valley Airport\",\"Tuli Lodge\",\"Botswana\",\"TLD\",\"FBTL\",-22.1892,29.1269,1772,2,\"U\",\"Africa/Gaborone\"\n", + "5609,\"Shakawe Airport\",\"Shakawe\",\"Botswana\",\"SWX\",\"FBSW\",-18.3739,21.8326,3379,2,\"U\",\"Africa/Gaborone\"\n", + "5608,\"Orapa Airport\",\"Orapa\",\"Botswana\",\"ORP\",\"FBOR\",-21.2667,25.3167,3100,2,\"U\",\"Africa/Gaborone\"\n", + "5607,\"Ghanzi Airport\",\"Ghanzi\",\"Botswana\",\"GNZ\",\"FBGZ\",-21.6925,21.6581,3730,2,\"U\",\"Africa/Gaborone\"\n", + "5606,\"Mmabatho International Airport\",\"Mafeking\",\"South Africa\",\"MBD\",\"FAMM\",-25.798444,25.548028,4181,2,\"U\",\"Africa/Johannesburg\"\n", + "5605,\"Malamala Airport\",\"Malamala\",\"South Africa\",\"AAM\",\"FAMD\",-24.818111,31.544584,1124,2,\"U\",\"Africa/Johannesburg\"\n", + "5604,\"Kruger Mpumalanga International Airport\",\"Mpumalanga\",\"South Africa\",\"MQP\",\"FAKN\",-25.3832,31.1056,2829,2,\"U\",\"Africa/Johannesburg\"\n", + "5603,\"Rand Airport\",\"Johannesburg\",\"South Africa\",\"QRA\",\"FAGM\",-26.242506,28.151169,5483,2,\"U\",\"Africa/Johannesburg\"\n", + "5602,\"Ventspils International Airport\",\"Ventspils\",\"Latvia\",\"VTS\",\"EVVA\",57.357778,21.544167,19,2,\"E\",\"Europe/Riga\"\n", + "5601,\"Shire Inda Selassie Airport\",\"Shire Indasilase\",\"Ethiopia\",\"SHC\",\"\",14.0781,38.2725,6207,3,\"U\",\"Africa/Addis_Ababa\"\n", + "5600,\"Shilavo Airport\",\"Shilavo\",\"Ethiopia\",\"HIL\",\"\",6.08333,44.7667,1296,3,\"U\",\"Africa/Addis_Ababa\"\n", + "5599,\"Hemavan Airport\",\"Hemavan\",\"Sweden\",\"HMV\",\"ESUT\",65.806111,15.082778,1503,1,\"E\",\"Europe/Stockholm\"\n", + "5598,\"Storuman Airport\",\"Mohed\",\"Sweden\",\"SQO\",\"ESUD\",64.960894,17.696583,915,1,\"E\",\"Europe/Stockholm\"\n", + "5597,\"Ängelholm-Helsingborg Airport\",\"Ängelholm\",\"Sweden\",\"AGH\",\"ESTA\",56.2961,12.8471,68,1,\"E\",\"Europe/Stockholm\"\n", + "5596,\"Torsby Airport\",\"Torsby\",\"Sweden\",\"TYF\",\"ESST\",60.157622,12.991269,393,1,\"E\",\"Europe/Stockholm\"\n", + "5595,\"Karlstad Airport\",\"Karlstad\",\"Sweden\",\"KSD\",\"ESOK\",59.4447,13.3374,352,1,\"E\",\"Europe/Stockholm\"\n", + "5594,\"Hagfors Airport\",\"Hagfors\",\"Sweden\",\"HFS\",\"ESOH\",60.020064,13.578908,474,1,\"E\",\"Europe/Stockholm\"\n", + "5593,\"Östersund Airport\",\"Östersund\",\"Sweden\",\"OSD\",\"ESNZ\",63.1944,14.5003,1233,1,\"E\",\"Europe/Stockholm\"\n", + "5592,\"Åódź WÅ‚adysÅ‚aw Reymont Airport\",\"Lodz\",\"Poland\",\"LCJ\",\"EPLL\",51.721881,19.398133,604,1,\"E\",\"Europe/Warsaw\"\n", + "5591,\"Bydgoszcz Ignacy Jan Paderewski Airport\",\"Bydgoszcz\",\"Poland\",\"BZG\",\"EPBY\",53.0968,17.9777,235,1,\"E\",\"Europe/Warsaw\"\n", + "5590,\"Værøy Heliport\",\"Værøy\",\"Norway\",\"VRY\",\"ENVR\",67.6667,12.6833,36,1,\"E\",\"Europe/Oslo\"\n", + "5589,\"Svartnes Airport\",\"Vardø\",\"Norway\",\"VAW\",\"ENSS\",70.355392,31.044889,42,1,\"E\",\"Europe/Oslo\"\n", + "5588,\"Sorkjosen Airport\",\"Sorkjosen\",\"Norway\",\"SOJ\",\"ENSR\",69.7868,20.9594,16,1,\"E\",\"Europe/Oslo\"\n", + "5587,\"Svolvær Helle Airport\",\"Svolvær\",\"Norway\",\"SVJ\",\"ENSH\",68.2433,14.6692,27,1,\"E\",\"Europe/Oslo\"\n", + "5586,\"Sogndal Airport\",\"Sogndal\",\"Norway\",\"SOG\",\"ENSG\",61.1561,7.13778,0,1,\"E\",\"Europe/Oslo\"\n", + "5585,\"Anda Airport\",\"Sandane\",\"Norway\",\"SDN\",\"ENSD\",61.83,6.10583,196,1,\"E\",\"Europe/Oslo\"\n", + "5584,\"Røst Airport\",\"Røst\",\"Norway\",\"RET\",\"ENRS\",67.5278,12.1033,7,1,\"E\",\"Europe/Oslo\"\n", + "5583,\"Ryum Airport\",\"Rørvik\",\"Norway\",\"RVK\",\"ENRM\",64.8383,11.1461,14,1,\"E\",\"Europe/Oslo\"\n", + "5582,\"Røssvoll Airport\",\"Mo i Rana\",\"Norway\",\"MQN\",\"ENRA\",66.3639,14.3014,229,1,\"E\",\"Europe/Oslo\"\n", + "5581,\"Namsos Høknesøra Airport\",\"Namsos\",\"Norway\",\"OSY\",\"ENNM\",64.4722,11.5786,7,1,\"E\",\"Europe/Oslo\"\n", + "5580,\"Leknes Airport\",\"Leknes\",\"Norway\",\"LKN\",\"ENLK\",68.1525,13.6094,78,1,\"E\",\"Europe/Oslo\"\n", + "5579,\"Sindal Airport\",\"Sindal\",\"Denmark\",\"CNL\",\"EKSN\",57.503525,10.229372,92,1,\"N\",\"Europe/Copenhagen\"\n", + "5578,\"Weston Airport\",\"Leixlip\",\"Ireland\",\"\",\"EIWT\",53.351333,-6.4875,150,0,\"E\",\"Europe/Dublin\"\n", + "5577,\"Donegal Airport\",\"Dongloe\",\"Ireland\",\"CFN\",\"EIDL\",55.044192,-8.341,30,0,\"E\",\"Europe/Dublin\"\n", + "6816,\"Raron Airport\",\"Raron\",\"Switzerland\",\"\",\"LSTA\",46.3036,7.82333,2029,1,\"E\",\"Europe/Zurich\"\n", + "5575,\"Barra Airport\",\"Barra\",\"United Kingdom\",\"BRR\",\"EGPR\",57.0228,-7.44306,5,0,\"E\",\"Europe/London\"\n", + "5574,\"Anglesey Airport\",\"Angelsey\",\"United Kingdom\",\"HLY\",\"EGOV\",53.248097,-4.535339,37,0,\"E\",\"Europe/London\"\n", + "5573,\"Penzance Heliport\",\"Penzance\",\"United Kingdom\",\"PZE\",\"EGHK\",50.1281,-5.51845,14,0,\"E\",\"Europe/London\"\n", + "5572,\"Land's End / St. Just Airport\",\"Land's End\",\"United Kingdom\",\"LEQ\",\"EGHC\",50.1028,-5.67056,401,0,\"E\",\"Europe/London\"\n", + "5571,\"Westray Airport\",\"Westray\",\"United Kingdom\",\"WRY\",\"EGEW\",59.3503,-2.95,29,0,\"E\",\"Europe/London\"\n", + "5570,\"Lerwick / Tingwall Airport\",\"Lerwick\",\"United Kingdom\",\"LWK\",\"EGET\",60.1922,-1.24361,43,0,\"E\",\"Europe/London\"\n", + "5569,\"Sanday Airport\",\"Sanday\",\"United Kingdom\",\"NDY\",\"EGES\",59.2503,-2.57667,68,0,\"E\",\"Europe/London\"\n", + "5568,\"Stronsay Airport\",\"Stronsay\",\"United Kingdom\",\"SOY\",\"EGER\",59.1553,-2.64139,39,0,\"E\",\"Europe/London\"\n", + "5567,\"Papa Westray Airport\",\"Papa Westray\",\"United Kingdom\",\"PPW\",\"EGEP\",59.3517,-2.90028,91,0,\"E\",\"Europe/London\"\n", + "5566,\"North Ronaldsay Airport\",\"North Ronaldsay\",\"United Kingdom\",\"NRL\",\"EGEN\",59.3675,-2.43444,40,0,\"E\",\"Europe/London\"\n", + "5565,\"Fair Isle Airport\",\"Fair Isle\",\"United Kingdom\",\"FIE\",\"EGEF\",59.5358,-1.62806,223,0,\"E\",\"Europe/London\"\n", + "5564,\"Eday Airport\",\"Eday\",\"United Kingdom\",\"EOI\",\"EGED\",59.1906,-2.77222,10,0,\"E\",\"Europe/London\"\n", + "5563,\"Campbeltown Airport\",\"Campbeltown\",\"United Kingdom\",\"CAL\",\"EGEC\",55.4372,-5.68639,42,0,\"E\",\"Europe/London\"\n", + "5562,\"Robin Hood Doncaster Sheffield Airport\",\"Doncaster, Sheffield\",\"United Kingdom\",\"DSA\",\"EGCN\",53.474722,-1.004444,55,0,\"E\",\"Europe/London\"\n", + "5561,\"Nottingham Airport\",\"Nottingham\",\"United Kingdom\",\"NQT\",\"EGBN\",52.92,-1.079167,138,0,\"E\",\"Europe/London\"\n", + "5560,\"Seinäjoki Airport\",\"Seinäjoki / Ilmajoki\",\"Finland\",\"SJY\",\"EFSI\",62.6921,22.8323,302,2,\"E\",\"Europe/Helsinki\"\n", + "5559,\"Helgoland-Düne Airport\",\"Helgoland\",\"Germany\",\"HGL\",\"EDXH\",54.1853,7.91583,7,1,\"E\",\\N\n", + "5558,\"Heide-Büsum Airport\",\"Büsum\",\"Germany\",\"HEI\",\"EDXB\",54.1533,8.90167,7,1,\"E\",\"Europe/Berlin\"\n", + "5557,\"Heringsdorf Airport\",\"Heringsdorf\",\"Germany\",\"HDF\",\"EDAH\",53.878706,14.152347,93,1,\"E\",\"Europe/Berlin\"\n", + "5556,\"Kumasi Airport\",\"Kumasi\",\"Ghana\",\"KMS\",\"DGSI\",6.71456,-1.59082,942,0,\"N\",\"Africa/Accra\"\n", + "5555,\"Guemar Airport\",\"Guemar\",\"Algeria\",\"ELU\",\"DAUO\",33.5114,6.77679,203,1,\"N\",\"Africa/Algiers\"\n", + "5554,\"Bordj Badji Mokhtar Airport\",\"Bordj Badji Mokhtar\",\"Algeria\",\"BMW\",\"DATM\",21.375,0.923889,1303,1,\"N\",\"Africa/Algiers\"\n", + "5553,\"Béchar Boudghene Ben Ali Lotfi Airport\",\"Béchar\",\"Algeria\",\"CBH\",\"DAOR\",31.6457,-2.26986,2661,1,\"N\",\"Africa/Algiers\"\n", + "5552,\"Batna Airport\",\"Batna\",\"Algeria\",\"BLJ\",\"DABT\",35.752106,6.308589,2697,1,\"N\",\"Africa/Algiers\"\n", + "5551,\"Wollaston Lake Airport\",\"Wollaston Lake\",\"Canada\",\"ZWL\",\"CZWL\",58.1069,-103.172,1360,-6,\"N\",\"America/Regina\"\n", + "5550,\"Churchill Falls Airport\",\"Churchill Falls\",\"Canada\",\"ZUM\",\"CZUM\",53.5619,-64.1064,1442,-4,\"A\",\"America/Halifax\"\n", + "5549,\"Shamattawa Airport\",\"Shamattawa\",\"Canada\",\"ZTM\",\"CZTM\",55.8656,-92.0814,289,-6,\"A\",\"America/Winnipeg\"\n", + "5548,\"Sandy Lake Airport\",\"Sandy Lake\",\"Canada\",\"ZSJ\",\"CZSJ\",53.0642,-93.3444,951,-6,\"A\",\"America/Winnipeg\"\n", + "5547,\"Round Lake (Weagamow Lake) Airport\",\"Round Lake\",\"Canada\",\"ZRJ\",\"CZRJ\",52.9436,-91.3128,974,-6,\"A\",\"America/Winnipeg\"\n", + "5546,\"Sachigo Lake Airport\",\"Sachigo Lake\",\"Canada\",\"ZPB\",\"CZPB\",53.8911,-92.1964,876,-6,\"A\",\"America/Winnipeg\"\n", + "5545,\"Masset Airport\",\"Masset\",\"Canada\",\"ZMT\",\"CZMT\",54.0275,-132.125,25,-8,\"A\",\"America/Vancouver\"\n", + "5544,\"Muskrat Dam Airport\",\"Muskrat Dam\",\"Canada\",\"MSA\",\"CZMD\",53.4414,-91.7628,911,-6,\"A\",\"America/Winnipeg\"\n", + "5543,\"Kashechewan Airport\",\"Kashechewan\",\"Canada\",\"ZKE\",\"CZKE\",52.2825,-81.6778,35,-5,\"A\",\"America/Toronto\"\n", + "5542,\"Swan River Airport\",\"Swan River\",\"Canada\",\"ZJN\",\"CZJN\",52.1206,-101.236,1100,-6,\"A\",\"America/Winnipeg\"\n", + "5541,\"Gods River Airport\",\"Gods River\",\"Canada\",\"ZGI\",\"CZGI\",54.8397,-94.0786,627,-6,\"A\",\"America/Winnipeg\"\n", + "5540,\"Fond-Du-Lac Airport\",\"Fond-Du-Lac\",\"Canada\",\"ZFD\",\"CZFD\",59.3344,-107.182,814,-6,\"N\",\"America/Regina\"\n", + "5539,\"Eastmain River Airport\",\"Eastmain River\",\"Canada\",\"ZEM\",\"CZEM\",52.2264,-78.5225,24,-5,\"A\",\"America/Toronto\"\n", + "5538,\"Bathurst Airport\",\"Bathurst\",\"Canada\",\"ZBF\",\"CZBF\",47.6297,-65.7389,193,-4,\"A\",\"America/Halifax\"\n", + "5537,\"Ilford Airport\",\"Ilford\",\"Canada\",\"ILF\",\"CZBD\",56.0614,-95.6139,642,-6,\"A\",\"America/Winnipeg\"\n", + "5536,\"York Landing Airport\",\"York Landing\",\"Canada\",\"ZAC\",\"CZAC\",56.0894,-96.0892,621,-6,\"A\",\"America/Winnipeg\"\n", + "5535,\"Salluit Airport\",\"Salluit\",\"Canada\",\"YZG\",\"CYZG\",62.1794,-75.6672,743,-5,\"A\",\"America/Toronto\"\n", + "5534,\"Whale Cove Airport\",\"Whale Cove\",\"Canada\",\"YXN\",\"CYXN\",62.24,-92.5981,40,-6,\"A\",\"America/Winnipeg\"\n", + "5533,\"Webequie Airport\",\"Webequie\",\"Canada\",\"YWP\",\"CYWP\",52.9597,-87.3689,685,-5,\"A\",\"America/Toronto\"\n", + "5532,\"Deer Lake Airport\",\"Deer Lake\",\"Canada\",\"YVZ\",\"CYVZ\",52.6558,-94.0614,1092,-6,\"A\",\"America/Winnipeg\"\n", + "5531,\"Big Trout Lake Airport\",\"Big Trout Lake\",\"Canada\",\"YTL\",\"CYTL\",53.8178,-89.8969,729,-6,\"A\",\"America/Winnipeg\"\n", + "5530,\"St. Theresa Point Airport\",\"St. Theresa Point\",\"Canada\",\"YST\",\"CYST\",53.8456,-94.8519,773,-6,\"A\",\"America/Winnipeg\"\n", + "5529,\"Sanikiluaq Airport\",\"Sanikiluaq\",\"Canada\",\"YSK\",\"CYSK\",56.5378,-79.2467,104,-5,\"A\",\\N\n", + "5528,\"Stony Rapids Airport\",\"Stony Rapids\",\"Canada\",\"YSF\",\"CYSF\",59.2503,-105.841,805,-6,\"N\",\"America/Regina\"\n", + "5527,\"Red Lake Airport\",\"Red Lake\",\"Canada\",\"YRL\",\"CYRL\",51.0669,-93.7931,1265,-6,\"A\",\"America/Winnipeg\"\n", + "5526,\"Rae Lakes Airport\",\"Gamètì\",\"Canada\",\"YRA\",\"CYRA\",64.1161,-117.31,723,-7,\"A\",\"America/Edmonton\"\n", + "5525,\"Nakina Airport\",\"Nakina\",\"Canada\",\"YQN\",\"CYQN\",50.182777,-86.696388,1057,-5,\"A\",\"America/Toronto\"\n", + "5524,\"The Pas Airport\",\"The Pas\",\"Canada\",\"YQD\",\"CYQD\",53.9714,-101.091,887,-6,\"A\",\"America/Winnipeg\"\n", + "5523,\"Powell River Airport\",\"Powell River\",\"Canada\",\"YPW\",\"CYPW\",49.8342,-124.5,425,-8,\"A\",\"America/Vancouver\"\n", + "5522,\"Peawanuck Airport\",\"Peawanuck\",\"Canada\",\"YPO\",\"CYPO\",54.9881,-85.4433,173,-5,\"A\",\"America/Toronto\"\n", + "5521,\"Pikangikum Airport\",\"Pikangikum\",\"Canada\",\"YPM\",\"CYPM\",51.8197,-93.9733,1114,-6,\"A\",\"America/Winnipeg\"\n", + "5520,\"Inukjuak Airport\",\"Inukjuak\",\"Canada\",\"YPH\",\"CYPH\",58.4719,-78.0769,83,-5,\"A\",\"America/Toronto\"\n", + "5519,\"Oxford House Airport\",\"Oxford House\",\"Canada\",\"YOH\",\"CYOH\",54.9333,-95.2789,663,-6,\"A\",\"America/Winnipeg\"\n", + "5518,\"Points North Landing Airport\",\"Points North Landing\",\"Canada\",\"YNL\",\"CYNL\",58.2767,-104.082,1605,-6,\"N\",\"America/Regina\"\n", + "5517,\"Norway House Airport\",\"Norway House\",\"Canada\",\"YNE\",\"CYNE\",53.9583,-97.8442,734,-6,\"A\",\"America/Winnipeg\"\n", + "5516,\"Wemindji Airport\",\"Wemindji\",\"Canada\",\"YNC\",\"CYNC\",53.0106,-78.8311,66,-5,\"A\",\"America/Toronto\"\n", + "5515,\"Umiujaq Airport\",\"Umiujaq\",\"Canada\",\"YUD\",\"CYMU\",56.5361,-76.5183,250,-5,\"A\",\"America/Toronto\"\n", + "5514,\"Chapais Airport\",\"Chibougamau\",\"Canada\",\"YMT\",\"CYMT\",49.7719,-74.5281,1270,-5,\"A\",\"America/Toronto\"\n", + "5513,\"Mary's Harbour Airport\",\"Mary's Harbour\",\"Canada\",\"YMH\",\"CYMH\",52.3028,-55.8472,38,-3.5,\"A\",\"America/St_Johns\"\n", + "5512,\"Kangiqsualujjuaq (Georges River) Airport\",\"Kangiqsualujjuaq\",\"Canada\",\"XGR\",\"CYLU\",58.7114,-65.9928,215,-5,\"A\",\"America/Toronto\"\n", + "5511,\"Lutselk'e Airport\",\"Lutselk'e\",\"Canada\",\"YSG\",\"CYLK\",62.4183,-110.682,596,-7,\"A\",\"America/Edmonton\"\n", + "5510,\"Lansdowne House Airport\",\"Lansdowne House\",\"Canada\",\"YLH\",\"CYLH\",52.1956,-87.9342,834,-5,\"A\",\"America/Toronto\"\n", + "5509,\"Kimmirut Airport\",\"Kimmirut\",\"Canada\",\"YLC\",\"CYLC\",62.85,-69.8833,175,-5,\"A\",\"America/Toronto\"\n", + "5508,\"Aupaluk Airport\",\"Aupaluk\",\"Canada\",\"YPJ\",\"CYLA\",59.2967,-69.5997,119,-5,\"A\",\"America/Toronto\"\n", + "5507,\"Waskaganish Airport\",\"Waskaganish\",\"Canada\",\"YKQ\",\"CYKQ\",51.4733,-78.7583,80,-5,\"A\",\"America/Toronto\"\n", + "5506,\"Akulivik Airport\",\"Akulivik\",\"Canada\",\"AKV\",\"CYKO\",60.8186,-78.1486,75,-5,\"A\",\"America/Toronto\"\n", + "5505,\"Island Lake Airport\",\"Island Lake\",\"Canada\",\"YIV\",\"CYIV\",53.8572,-94.6536,770,-6,\"A\",\"America/Winnipeg\"\n", + "5504,\"Ivujivik Airport\",\"Ivujivik\",\"Canada\",\"YIK\",\"CYIK\",62.4173,-77.9253,126,-5,\"A\",\"America/Toronto\"\n", + "5503,\"Chevery Airport\",\"Chevery\",\"Canada\",\"YHR\",\"CYHR\",50.4689,-59.6367,39,-4,\"A\",\"America/Blanc-Sablon\"\n", + "5502,\"Hopedale Airport\",\"Hopedale\",\"Canada\",\"YHO\",\"CYHO\",55.4483,-60.2286,39,-4,\"A\",\"America/Halifax\"\n", + "5501,\"Nemiscau Airport\",\"Nemiscau\",\"Canada\",\"YNS\",\"CYHH\",51.6911,-76.1356,802,-5,\"A\",\"America/Toronto\"\n", + "5500,\"Vancouver Harbour Water Airport\",\"Vancouver\",\"Canada\",\"YHC\",\"CYHC\",49.2944,-123.111,0,-8,\"A\",\"America/Vancouver\"\n", + "5499,\"Quaqtaq Airport\",\"Quaqtaq\",\"Canada\",\"YQC\",\"CYHA\",61.0464,-69.6178,103,-5,\"A\",\"America/Toronto\"\n", + "5498,\"Grise Fiord Airport\",\"Grise Fiord\",\"Canada\",\"YGZ\",\"CYGZ\",76.4261,-82.9092,146,-5,\"A\",\"America/Toronto\"\n", + "5497,\"Gillam Airport\",\"Gillam\",\"Canada\",\"YGX\",\"CYGX\",56.3575,-94.7106,476,-6,\"A\",\"America/Winnipeg\"\n", + "5496,\"Kuujjuarapik Airport\",\"Kuujjuarapik\",\"Canada\",\"YGW\",\"CYGW\",55.2819,-77.7653,34,-5,\"A\",\"America/Toronto\"\n", + "5495,\"Igloolik Airport\",\"Igloolik\",\"Canada\",\"YGT\",\"CYGT\",69.3647,-81.8161,174,-5,\"A\",\"America/Toronto\"\n", + "5494,\"Gods Lake Narrows Airport\",\"Gods Lake Narrows\",\"Canada\",\"YGO\",\"CYGO\",54.5589,-94.4914,617,-6,\"A\",\"America/Winnipeg\"\n", + "5493,\"Texada Gillies Bay Airport\",\"Texada\",\"Canada\",\"YGB\",\"CYGB\",49.6942,-124.518,326,-8,\"A\",\"America/Vancouver\"\n", + "5492,\"Makkovik Airport\",\"Makkovik\",\"Canada\",\"YMN\",\"CYFT\",55.0769,-59.1864,234,-4,\"A\",\"America/Halifax\"\n", + "5491,\"Fort Hope Airport\",\"Fort Hope\",\"Canada\",\"YFH\",\"CYFH\",51.5619,-87.9078,899,-5,\"A\",\"America/Toronto\"\n", + "5490,\"Fort Albany Airport\",\"Fort Albany\",\"Canada\",\"YFA\",\"CYFA\",52.2014,-81.6969,48,-5,\"A\",\"America/Toronto\"\n", + "5489,\"Fort Severn Airport\",\"Fort Severn\",\"Canada\",\"YER\",\"CYER\",56.0189,-87.6761,48,-5,\"A\",\"America/Toronto\"\n", + "5488,\"Nain Airport\",\"Nain\",\"Canada\",\"YDP\",\"CYDP\",56.5492,-61.6803,22,-4,\"A\",\"America/Halifax\"\n", + "5487,\"Chesterfield Inlet Airport\",\"Chesterfield Inlet\",\"Canada\",\"YCS\",\"CYCS\",63.3469,-90.7311,32,-6,\"A\",\"America/Winnipeg\"\n", + "5486,\"Cartwright Airport\",\"Cartwright\",\"Canada\",\"YRF\",\"CYCA\",53.6828,-57.0419,40,-4,\"A\",\"America/Halifax\"\n", + "5485,\"Lourdes De Blanc Sablon Airport\",\"Lourdes-De-Blanc-Sablon\",\"Canada\",\"YBX\",\"CYBX\",51.4436,-57.1853,121,-4,\"A\",\"America/Blanc-Sablon\"\n", + "5484,\"Uranium City Airport\",\"Uranium City\",\"Canada\",\"YBE\",\"CYBE\",59.5614,-108.481,1044,-6,\"N\",\"America/Regina\"\n", + "5483,\"Lac Du Bonnet Airport\",\"Lac Du Bonnet\",\"Canada\",\"\",\"CYAX\",50.2944,-96.01,850,-6,\"A\",\"America/Winnipeg\"\n", + "5482,\"Attawapiskat Airport\",\"Attawapiskat\",\"Canada\",\"YAT\",\"CYAT\",52.9275,-82.4319,31,-5,\"A\",\"America/Toronto\"\n", + "5481,\"Kangirsuk Airport\",\"Kangirsuk\",\"Canada\",\"YKG\",\"CYAS\",60.0272,-69.9992,403,-5,\"A\",\"America/Toronto\"\n", + "5480,\"Kasabonika Airport\",\"Kasabonika\",\"Canada\",\"XKS\",\"CYAQ\",53.5247,-88.6428,672,-5,\"A\",\"America/Toronto\"\n", + "5479,\"Fort Frances Municipal Airport\",\"Fort Frances\",\"Canada\",\"YAG\",\"CYAG\",48.6542,-93.4397,1125,-6,\"A\",\"America/Winnipeg\"\n", + "5478,\"Cat Lake Airport\",\"Cat Lake\",\"Canada\",\"YAC\",\"CYAC\",51.7272,-91.8244,1344,-6,\"A\",\"America/Winnipeg\"\n", + "5477,\"Tarapacá Airport\",\"Tarapacá\",\"Colombia\",\"TCD\",\"\",-2.867,-69.733,0,-5,\"U\",\"America/Bogota\"\n", + "5476,\"Apartadó Airport\",\"Apartadó\",\"Colombia\",\"APO\",\"\",7.033,-77.2,0,-5,\"U\",\"America/Bogota\"\n", + "5475,\"Nantong Airport\",\"Nantong\",\"China\",\"NTG\",\"\",32.0708,120.976,0,8,\"U\",\"Asia/Chongqing\"\n", + "5474,\"La Tabatière Airport\",\"La Tabatière\",\"Canada\",\"ZLT\",\"CTU5\",50.8308,-58.9756,102,-4,\"A\",\"America/Blanc-Sablon\"\n", + "5473,\"Tête-à-la-Baleine Airport\",\"Tête-à-la-Baleine\",\"Canada\",\"ZTB\",\"CTB6\",50.6744,-59.3836,107,-4,\"A\",\"America/Blanc-Sablon\"\n", + "5472,\"Chisasibi Airport\",\"Chisasibi\",\"Canada\",\"YKU\",\"CSU2\",53.8056,-78.9169,43,-5,\"A\",\"America/Toronto\"\n", + "5471,\"Poplar Hill Airport\",\"Poplar Hill\",\"Canada\",\"YHP\",\"CPV7\",52.1133,-94.2556,1095,-6,\"A\",\"America/Winnipeg\"\n", + "5470,\"Ogoki Post Airport\",\"Ogoki Post\",\"Canada\",\"YOG\",\"CNT3\",51.6586,-85.9017,594,-5,\"A\",\"America/Toronto\"\n", + "5469,\"Kingfisher Lake Airport\",\"Kingfisher Lake\",\"Canada\",\"KIF\",\"CNM5\",53.0125,-89.8553,866,-5,\"A\",\"America/Toronto\"\n", + "5468,\"Bearskin Lake Airport\",\"Bearskin Lake\",\"Canada\",\"XBE\",\"CNE3\",53.9656,-91.0272,800,-6,\"A\",\"America/Winnipeg\"\n", + "5467,\"North Spirit Lake Airport\",\"North Spirit Lake\",\"Canada\",\"YNO\",\"CKQ3\",52.49,-92.9711,1082,-6,\"A\",\"America/Winnipeg\"\n", + "5466,\"Wunnumin Lake Airport\",\"Wunnumin Lake\",\"Canada\",\"WNN\",\"CKL3\",52.8939,-89.2892,819,-5,\"A\",\"America/Toronto\"\n", + "5465,\"Wapekeka Airport\",\"Angling Lake\",\"Canada\",\"YAX\",\"CKB6\",53.8492,-89.5794,712,-6,\"A\",\"America/Winnipeg\"\n", + "5464,\"Summer Beaver Airport\",\"Summer Beaver\",\"Canada\",\"SUR\",\"CJV7\",52.7086,-88.5419,832,-5,\"A\",\"America/Toronto\"\n", + "5463,\"Whatì Airport\",\"Whatì\",\"Canada\",\"YLE\",\"CEM3\",63.1317,-117.246,882,-7,\"A\",\"America/Edmonton\"\n", + "5462,\"Colville Lake Airport\",\"Colville Lake\",\"Canada\",\"YCK\",\"CEB3\",67.0333,-126.083,850,-7,\"A\",\"America/Edmonton\"\n", + "5461,\"Rigolet Airport\",\"Rigolet\",\"Canada\",\"YRG\",\"CCZ2\",54.1797,-58.4575,180,-4,\"A\",\"America/Halifax\"\n", + "5460,\"Port Hope Simpson Airport\",\"Port Hope Simpson\",\"Canada\",\"YHA\",\"CCP4\",52.5281,-56.2861,347,-3.5,\"A\",\"America/St_Johns\"\n", + "5459,\"St. Lewis (Fox Harbour) Airport\",\"St. Lewis\",\"Canada\",\"YFX\",\"CCK4\",52.3728,-55.6739,74,-3.5,\"A\",\"America/St_Johns\"\n", + "5458,\"Williams Harbour Airport\",\"Williams Harbour\",\"Canada\",\"YWM\",\"CCA6\",52.5669,-55.7847,70,-3.5,\"A\",\"America/St_Johns\"\n", + "5457,\"Anahim Lake Airport\",\"Anahim Lake\",\"Canada\",\"YAA\",\"CAJ4\",52.4525,-125.303,3635,-8,\"A\",\"America/Vancouver\"\n", + "5456,\"Whistler/Green Lake Water Aerodrome\",\"Whistler\",\"Canada\",\"YWS\",\"CAE5\",50.1436,-122.949,2100,-8,\"A\",\"America/Vancouver\"\n", + "5455,\"Punta Gorda Airport\",\"Punta Gorda\",\"Belize\",\"PND\",\"\",16.1024,-88.8083,7,-6,\"U\",\"America/Belize\"\n", + "5454,\"Caye Caulker Airport\",\"Caye Caulker\",\"Belize\",\"CUK\",\"\",17.7347,-88.0325,1,-6,\"U\",\"America/Belize\"\n", + "5453,\"Vopnafjörður Airport\",\"Vopnafjörður\",\"Iceland\",\"VPN\",\"BIVO\",65.7206,-14.8506,0,0,\"N\",\"Atlantic/Reykjavik\"\n", + "5452,\"Thorshofn Airport\",\"Thorshofn\",\"Iceland\",\"THO\",\"BITN\",66.2185,-15.3356,65,0,\"N\",\"Atlantic/Reykjavik\"\n", + "6945,\"Drake Bay Airport\",\"Puntarenas\",\"Costa Rica\",\"DRK\",\"MRDK\",8.71889,-83.6417,12,-6,\"N\",\"America/Costa_Rica\"\n", + "5450,\"Grímsey Airport\",\"Grímsey\",\"Iceland\",\"GRY\",\"BIGR\",66.5547,-18.0175,66,0,\"N\",\"Atlantic/Reykjavik\"\n", + "5449,\"Qaarsut Airport\",\"Uummannaq\",\"Greenland\",\"JQA\",\"BGUQ\",70.7342,-52.6962,289,-3,\"E\",\"America/Godthab\"\n", + "5448,\"Upernavik Airport\",\"Upernavik\",\"Greenland\",\"JUV\",\"BGUK\",72.7902,-56.1306,414,-3,\"E\",\"America/Godthab\"\n", + "5447,\"Sisimiut Airport\",\"Sisimiut\",\"Greenland\",\"JHS\",\"BGSS\",66.9513,-53.7293,33,-3,\"E\",\"America/Godthab\"\n", + "5446,\"Qaanaaq Airport\",\"Qaanaaq\",\"Greenland\",\"NAQ\",\"BGQQ\",77.4886,-69.3887,51,-4,\"E\",\"America/Thule\"\n", + "5445,\"Narsaq Heliport\",\"Narsaq\",\"Greenland\",\"JNS\",\"BGNS\",60.9167,-46.0586,0,-3,\"E\",\"America/Godthab\"\n", + "5444,\"Nanortalik Heliport\",\"Nanortalik\",\"Greenland\",\"JNN\",\"BGNN\",60.14,-45.2317,0,-3,\"E\",\"America/Godthab\"\n", + "5443,\"Maniitsoq Airport\",\"Maniitsoq\",\"Greenland\",\"JSU\",\"BGMQ\",65.4125,-52.9394,91,-3,\"E\",\"America/Godthab\"\n", + "5442,\"Qaqortoq Heliport\",\"Qaqortoq\",\"Greenland\",\"JJU\",\"BGJH\",60.7158,-46.0294,0,-3,\"E\",\"America/Godthab\"\n", + "5441,\"Qeqertarsuaq Heliport\",\"Qeqertarsuaq Airport\",\"Greenland\",\"JGO\",\"BGGN\",69.2511,-53.5381,0,-3,\"E\",\"America/Godthab\"\n", + "5440,\"Paamiut Heliport\",\"Paamiut\",\"Greenland\",\"JFR\",\"BGFH\",61.9922,-49.6625,0,-3,\"E\",\"America/Godthab\"\n", + "5439,\"Neerlerit Inaat Airport\",\"Neerlerit Inaat\",\"Greenland\",\"CNP\",\"BGCO\",70.7433,-22.6606,45,-1,\"E\",\"America/Scoresbysund\"\n", + "5438,\"Alluitsup Paa Heliport\",\"Alluitsup Paa\",\"Greenland\",\"LLU\",\"BGAP\",60.4644,-45.5778,89,-3,\"E\",\"America/Godthab\"\n", + "5437,\"Wapenamanda Airport\",\"Wapenamanda\",\"Papua New Guinea\",\"WBM\",\"AYWD\",-5.6433,143.895,5889,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5436,\"Vanimo Airport\",\"Vanimo\",\"Papua New Guinea\",\"VAI\",\"AYVN\",-2.69717,141.302,10,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5435,\"Tokua Airport\",\"Tokua\",\"Papua New Guinea\",\"RAB\",\"AYTK\",-4.34046,152.38,32,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5434,\"Tabubil Airport\",\"Tabubil\",\"Papua New Guinea\",\"TBG\",\"AYTB\",-5.27861,141.226,1570,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5433,\"Tari Airport\",\"Tari\",\"Papua New Guinea\",\"TIZ\",\"AYTA\",-5.845,142.948,5500,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5432,\"Misima Island Airport\",\"Misima Island\",\"Papua New Guinea\",\"MIS\",\"AYMS\",-10.6892,152.838,26,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5431,\"Moro Airport\",\"Moro\",\"Papua New Guinea\",\"MXH\",\"AYMR\",-6.36333,143.238,2740,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5430,\"Momote Airport\",\"Momote\",\"Papua New Guinea\",\"MAS\",\"AYMO\",-2.06189,147.424,12,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5429,\"Mendi Airport\",\"Mendi\",\"Papua New Guinea\",\"MDU\",\"AYMN\",-6.14774,143.657,5680,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5428,\"Kavieng Airport\",\"Kavieng\",\"Papua New Guinea\",\"KVG\",\"AYKV\",-2.5794,150.808,7,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5427,\"Kerema Airport\",\"Kerema\",\"Papua New Guinea\",\"KMA\",\"AYKM\",-7.96361,145.771,10,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5426,\"Kikori Airport\",\"Kikori\",\"Papua New Guinea\",\"KRI\",\"AYKK\",-7.42438,144.25,50,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5425,\"Kiunga Airport\",\"Kiunga\",\"Papua New Guinea\",\"UNG\",\"AYKI\",-6.12571,141.282,88,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5424,\"Kimbe Airport\",\"Hoskins\",\"Papua New Guinea\",\"HKN\",\"AYHK\",-5.46217,150.405,66,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5423,\"Girua Airport\",\"Girua\",\"Papua New Guinea\",\"PNP\",\"AYGR\",-8.80454,148.309,311,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5422,\"Gurney Airport\",\"Gurney\",\"Papua New Guinea\",\"GUR\",\"AYGN\",-10.3115,150.334,88,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5421,\"Daru Airport\",\"Daru\",\"Papua New Guinea\",\"DAU\",\"AYDU\",-9.08676,143.208,20,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5420,\"Chimbu Airport\",\"Kundiawa\",\"Papua New Guinea\",\"CMU\",\"AYCH\",-6.02429,144.971,4974,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5419,\"Buka Airport\",\"Buka Island\",\"Papua New Guinea\",\"BUA\",\"AYBK\",-5.42232,154.673,11,10,\"U\",\"Pacific/Port_Moresby\"\n", + "5418,\"Ramata Airport\",\"Ramata\",\"Solomon Islands\",\"RBV\",\"AGRM\",-8.16806,157.643,0,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5417,\"Kagau Island Airport\",\"Kagau Island\",\"Solomon Islands\",\"KGE\",\"AGKG\",-7.333,157.583,0,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5416,\"Suavanao Airport\",\"Suavanao\",\"Solomon Islands\",\"VAO\",\"AGGV\",-7.58556,158.731,0,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5415,\"Marau Airport\",\"Marau\",\"Solomon Islands\",\"RUS\",\"AGGU\",-9.86167,160.825,0,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5414,\"Rennell/Tingoa Airport\",\"Rennell Island\",\"Solomon Islands\",\"RNL\",\"AGGR\",-11.5339,160.063,0,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5413,\"Mono Airport\",\"Stirling Island\",\"Solomon Islands\",\"MNY\",\"AGGO\",-7.41694,155.565,0,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5412,\"Nusatupe Airport\",\"Gizo\",\"Solomon Islands\",\"GZO\",\"AGGN\",-8.09778,156.864,13,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5411,\"Munda Airport\",\"Munda\",\"Solomon Islands\",\"MUA\",\"AGGM\",-8.32797,157.263,10,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5410,\"Santa Cruz/Graciosa Bay/Luova Airport\",\"Santa Cruz/Graciosa Bay/Luova\",\"Solomon Islands\",\"SCZ\",\"AGGL\",-10.7203,165.795,18,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5409,\"Ngorangora Airport\",\"Kirakira\",\"Solomon Islands\",\"IRA\",\"AGGK\",-10.4497,161.898,0,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5408,\"Babanakira Airport\",\"Mbambanakira\",\"Solomon Islands\",\"MBU\",\"AGGI\",-9.7475,159.839,0,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5407,\"Fera/Maringe Airport\",\"Fera Island\",\"Solomon Islands\",\"FRE\",\"AGGF\",-8.1075,159.577,0,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5406,\"Ballalae Airport\",\"Ballalae\",\"Solomon Islands\",\"BAS\",\"AGGE\",-6.967,155.883,5,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5405,\"Auki Airport\",\"Auki\",\"Solomon Islands\",\"AKS\",\"AGGA\",-8.70257,160.682,5,11,\"U\",\"Pacific/Guadalcanal\"\n", + "5404,\"Uru Harbour Airport\",\"Atoifi\",\"Solomon Islands\",\"ATD\",\"AGAT\",-8.87333,161.011,0,11,\"U\",\"Pacific/Guadalcanal\"\n", + "6097,\"Komsomolsk-on-Amur Airport\",\"Komsomolsk-on-Amur\",\"Russia\",\"KXK\",\"UHKK\",50.4094,136.934,92,11,\"N\",\"Asia/Vladivostok\"\n", + "6096,\"Moyo Airport\",\"Moyo\",\"Uganda\",\"OYG\",\"\",3.633,31.75,0,3,\"U\",\"Africa/Kampala\"\n", + "6095,\"Tiksi Airport\",\"Tiksi\",\"Russia\",\"IKS\",\"UEST\",71.6977,128.903,26,10,\"N\",\"Asia/Yakutsk\"\n", + "6094,\"Cherskiy Airport\",\"Cherskiy\",\"Russia\",\"CYX\",\"UESS\",68.7406,161.338,20,12,\"N\",\"Asia/Magadan\"\n", + "6093,\"Chokurdakh Airport\",\"Chokurdah\",\"Russia\",\"CKH\",\"UESO\",70.6231,147.902,151,12,\"N\",\"Asia/Magadan\"\n", + "6091,\"Chulman\",\"Neryungri\",\"Russia\",\"CNN\",\"UELL\",56.9139,124.914,2812,10,\"N\",\"Asia/Yakutsk\"\n", + "6088,\"Kostanay West Airport\",\"Kostanay\",\"Kazakhstan\",\"KSN\",\"UAUU\",53.206944,63.550278,595,6,\"U\",\"Asia/Qyzylorda\"\n", + "6085,\"Zhezkazgan Airport\",\"Zhezkazgan\",\"Kazakhstan\",\"DZN\",\"UAKD\",47.708333,67.733333,1250,6,\"U\",\"Asia/Qyzylorda\"\n", + "6083,\"Kokshetau Airport\",\"Kokshetau\",\"Kazakhstan\",\"KOV\",\"UACK\",53.3291,69.5946,900,6,\"U\",\"Asia/Qyzylorda\"\n", + "6082,\"Union Island International Airport\",\"Union Island\",\"Saint Vincent and the Grenadines\",\"UNI\",\"TVSU\",12.583,-61.417,16,-4,\"U\",\"America/St_Vincent\"\n", + "6081,\"J F Mitchell Airport\",\"Bequia\",\"Saint Vincent and the Grenadines\",\"BQU\",\"TVSB\",12.988444,-61.262033,15,-4,\"U\",\"America/St_Vincent\"\n", + "6080,\"Virgin Gorda Airport\",\"Spanish Town\",\"British Virgin Islands\",\"VIJ\",\"TUPW\",18.4464,-64.4275,9,-4,\"U\",\"America/Tortola\"\n", + "6079,\"Vance Winkworth Amory International Airport\",\"Charlestown\",\"Saint Kitts and Nevis\",\"NEV\",\"TKPN\",17.205678,-62.589869,14,-4,\"U\",\"America/St_Kitts\"\n", + "6076,\"Baillif Airport\",\"Basse Terre\",\"Guadeloupe\",\"BBR\",\"TFFB\",16.0133,-61.7422,59,-4,\"U\",\"America/Guadeloupe\"\n", + "6075,\"La Désirade Airport\",\"Grande Anse\",\"Guadeloupe\",\"DSD\",\"TFFA\",16.2969,-61.0844,10,-4,\"U\",\"America/Guadeloupe\"\n", + "6072,\"Juan Pablo Pérez Alfonso Airport\",\"El Vigía\",\"Venezuela\",\"VIG\",\"SVVG\",8.6241,-71.672819,250,-4.5,\"U\",\"America/Caracas\"\n", + "6070,\"El Jaguel / Punta del Este Airport\",\"Maldonado\",\"Uruguay\",\"MDO\",\"SUPE\",-34.917,-54.917,66,-3,\"S\",\"America/Montevideo\"\n", + "6069,\"Santa Rosa Airport\",\"Santa Rosa\",\"Brazil\",\"SRA\",\"SSZR\",-27.9067,-54.5204,984,-3,\"S\",\"America/Sao_Paulo\"\n", + "6067,\"Alferez Fap David Figueroa Fernandini Airport\",\"Huánuco\",\"Peru\",\"HUU\",\"SPNC\",-9.878811,-76.204797,6070,-5,\"U\",\"America/Lima\"\n", + "6065,\"Caballococha Airport\",\"Caballococha\",\"Peru\",\"LHC\",\"SPBC\",-3.916858,-70.508225,328,-5,\"U\",\"America/Lima\"\n", + "6060,\"Capitán Av. German Quiroga G. Airport\",\"San Borja\",\"Bolivia\",\"SRJ\",\"SLSB\",-14.8592,-66.7375,633,-4,\"U\",\"America/La_Paz\"\n", + "6058,\"Capitán Av. Selin Zeitun Lopez Airport\",\"Riberalta\",\"Bolivia\",\"RIB\",\"SLRI\",-11,-66,462,-4,\"U\",\"America/La_Paz\"\n", + "6056,\"Capitán de Av. Emilio Beltrán Airport\",\"Guayaramerín\",\"Bolivia\",\"GYA\",\"SLGY\",-10.8206,-65.3456,557,-4,\"U\",\"America/La_Paz\"\n", + "6054,\"Obando Airport\",\"Puerto Inírida\",\"Colombia\",\"PDA\",\"SKPD\",3.85,-67.91,460,-5,\"U\",\"America/Bogota\"\n", + "6053,\"Reyes Murillo Airport\",\"Nuquí\",\"Colombia\",\"NQU\",\"SKNQ\",5.7,-77.28,12,-5,\"U\",\"America/Bogota\"\n", + "6052,\"La Pedrera Airport\",\"La Pedrera\",\"Colombia\",\"LPD\",\"SKLP\",-1.33,-69.58,590,-5,\"U\",\"America/Bogota\"\n", + "6051,\"Caucaya Airport\",\"Puerto Leguízamo\",\"Colombia\",\"LQM\",\"SKLG\",-0.18,-74.77,573,-5,\"U\",\"America/Bogota\"\n", + "6050,\"La Jagua Airport\",\"Garzón\",\"Colombia\",\"GLJ\",\"SKGZ\",2.17,-75.67,2620,-5,\"U\",\"America/Bogota\"\n", + "6049,\"Santa Ana Airport\",\"Cartago\",\"Colombia\",\"CRC\",\"SKGO\",4.758181,-75.955753,2979,-5,\"U\",\"America/Bogota\"\n", + "6048,\"Stanley Airport\",\"Stanley\",\"Falkland Islands\",\"PSY\",\"SFAL\",-51.685672,-57.777644,75,-3,\"U\",\"Atlantic/Stanley\"\n", + "6046,\"Camilo Ponce Enriquez Airport\",\"La Toma (Catamayo)\",\"Ecuador\",\"LOH\",\"SETM\",-3.99589,-79.3719,4056,-5,\"U\",\"America/Guayaquil\"\n", + "6045,\"San Cristóbal Airport\",\"San Cristóbal\",\"Ecuador\",\"SCY\",\"SEST\",-0.910206,-89.61745,62,-6,\"U\",\"Pacific/Galapagos\"\n", + "6044,\"Sorocaba Airport\",\"Sorocaba\",\"Brazil\",\"SOD\",\"SDCO\",-23.478,-47.49,2077,-3,\"S\",\"America/Sao_Paulo\"\n", + "6042,\"Ricardo García Posada Airport\",\"El Salvador\",\"Chile\",\"ESR\",\"SCES\",-26.3111,-69.7652,5240,-4,\"S\",\"America/Santiago\"\n", + "6039,\"Vitória da Conquista Airport\",\"Vitória Da Conquista\",\"Brazil\",\"VDC\",\"SBQV\",-14.862761,-40.863106,2998,-3,\"S\",\"America/Fortaleza\"\n", + "6038,\"Marília Airport\",\"Marília\",\"Brazil\",\"MII\",\"SBML\",-22.196892,-49.9264,2122,-3,\"S\",\"America/Sao_Paulo\"\n", + "6037,\"Macaé Airport\",\"Macaé\",\"Brazil\",\"MEA\",\"SBME\",-22.343,-41.766,8,-3,\"S\",\"America/Sao_Paulo\"\n", + "6033,\"Necochea Airport\",\"Necochea\",\"Argentina\",\"NEC\",\"SAZO\",-38.483056,-58.817222,72,-3,\"N\",\"America/Cordoba\"\n", + "6030,\"Lago Argentino Airport\",\"El Calafate\",\"Argentina\",\"ING\",\"SAWA\",-50.3361,-72.2486,732,-3,\"N\",\"America/Cordoba\"\n", + "6026,\"Roxas Airport\",\"Roxas City\",\"Philippines\",\"RXS\",\"RPVR\",11.597669,122.751669,10,8,\"N\",\"Asia/Manila\"\n", + "6023,\"Calbayog Airport\",\"Calbayog City\",\"Philippines\",\"CYP\",\"RPVC\",12.072706,124.545092,12,8,\"N\",\"Asia/Manila\"\n", + "6022,\"Virac Airport\",\"Virac\",\"Philippines\",\"VRC\",\"RPUV\",13.576439,124.205672,121,8,\"N\",\"Asia/Manila\"\n", + "6021,\"Tuguegarao Airport\",\"Tuguegarao\",\"Philippines\",\"TUG\",\"RPUT\",17.638311,121.730614,70,8,\"N\",\"Asia/Manila\"\n", + "6020,\"San Fernando Airport\",\"San Fernando\",\"Philippines\",\"SFE\",\"RPUS\",16.595589,120.303219,13,8,\"N\",\"Asia/Manila\"\n", + "6019,\"Basco Airport\",\"Basco\",\"Philippines\",\"BSO\",\"RPUO\",20.451322,121.979883,291,8,\"N\",\\N\n", + "6018,\"Naga Airport\",\"Naga\",\"Philippines\",\"WNP\",\"RPUN\",13.584886,123.270239,142,8,\"N\",\"Asia/Manila\"\n", + "6017,\"Tandag Airport\",\"Tandag\",\"Philippines\",\"TDG\",\"RPMW\",9.07211,126.171,16,8,\"N\",\"Asia/Manila\"\n", + "6016,\"Surigao Airport\",\"Sangley Point\",\"Philippines\",\"SUG\",\"RPMS\",9.757567,125.479328,20,8,\"N\",\"Asia/Manila\"\n", + "6507,\"Fremont Airport\",\"Fremont\",\"United States\",\"\",\\N,41.3331,-83.1612,663,-5,\"A\",\"America/New_York\"\n", + "6014,\"Sanga Sanga Airport\",\"Sanga Sanga\",\"Philippines\",\"SGS\",\"RPMN\",5.04699,119.743,15,8,\"N\",\"Asia/Manila\"\n", + "6011,\"General Santos International Airport\",\"General Santos City\",\"Philippines\",\"GES\",\"RPMB\",6.106439,125.2353,28,8,\"N\",\"Asia/Manila\"\n", + "6009,\"Subic Bay International Airport\",\"Olongapo City\",\"Philippines\",\"SFS\",\"RPLB\",14.7944,120.271,64,8,\"N\",\"Asia/Manila\"\n", + "6006,\"Yangyang International Airport\",\"Sokcho / Gangneung\",\"South Korea\",\"YNY\",\"RKNY\",38.061311,128.669164,241,9,\"U\",\"Asia/Seoul\"\n", + "6098,\"Ugolny Airport\",\"Anadyr\",\"Russia\",\"DYR\",\"UHMA\",64.73495,177.741483,194,12,\"N\",\"Asia/Magadan\"\n", + "6099,\"Okhotsk Airport\",\"Okhotsk\",\"Russia\",\"OHO\",\"UHOO\",59.4101,143.057,0,11,\"N\",\"Asia/Vladivostok\"\n", + "6100,\"Ujae Atoll Airport\",\"Ujae Atoll\",\"Marshall Islands\",\"UJE\",\"UJAP\",8.92806,165.762,0,12,\"U\",\"Pacific/Majuro\"\n", + "6101,\"Mariupol International Airport\",\"Mariupol International\",\"Ukraine\",\"MPW\",\"UKCM\",47.0761,37.4496,251,2,\"E\",\"Europe/Kiev\"\n", + "6102,\"Luhansk International Airport\",\"Lugansk\",\"Ukraine\",\"VSG\",\"UKCW\",48.4174,39.3741,636,2,\"E\",\"Europe/Kiev\"\n", + "6103,\"Zaporizhzhia International Airport\",\"Zaporozhye\",\"Ukraine\",\"OZH\",\"UKDE\",47.867,35.3157,373,2,\"E\",\"Europe/Kiev\"\n", + "6104,\"Lozuvatka International Airport\",\"Krivoy Rog\",\"Ukraine\",\"KWG\",\"UKDR\",48.0433,33.21,408,2,\"E\",\"Europe/Kiev\"\n", + "6105,\"Osnova International Airport\",\"Kharkov\",\"Ukraine\",\"HRK\",\"UKHH\",49.924786,36.289986,508,2,\"E\",\"Europe/Kiev\"\n", + "6106,\"Ivano Frankivsk International Airport\",\"Ivano-Frankivsk\",\"Ukraine\",\"IFO\",\"UKLI\",48.884167,24.686111,919,2,\"E\",\"Europe/Kiev\"\n", + "6107,\"Chernivtsi International Airport\",\"Chernovtsk\",\"Ukraine\",\"CWC\",\"UKLN\",48.259322,25.980831,826,2,\"E\",\"Europe/Kiev\"\n", + "6108,\"Rivne International Airport\",\"Rivne\",\"Ukraine\",\"RWN\",\"UKLR\",50.6071,26.1416,755,2,\"E\",\"Europe/Kiev\"\n", + "6109,\"Uzhhorod International Airport\",\"Uzhgorod\",\"Ukraine\",\"UDJ\",\"UKLU\",48.634278,22.263356,383,2,\"E\",\"Europe/Kiev\"\n", + "6110,\"Solovki Airport\",\"Solovetsky Islands\",\"Russia\",\"CSH\",\"ULAS\",65.03,35.7333,0,4,\"N\",\"Europe/Moscow\"\n", + "6111,\"Cherepovets Airport\",\"Cherepovets\",\"Russia\",\"CEE\",\"ULBC\",59.2736,38.0158,377,4,\"N\",\"Europe/Moscow\"\n", + "6112,\"Amderma Airport\",\"Amderma\",\"Russia\",\"AMV\",\"ULDD\",69.7633,61.5564,13,4,\"N\",\"Europe/Moscow\"\n", + "6113,\"Kotlas Airport\",\"Kotlas\",\"Russia\",\"KSZ\",\"ULKK\",61.2358,46.6975,184,4,\"N\",\"Europe/Moscow\"\n", + "6114,\"Petrozavodsk Airport\",\"Petrozavodsk\",\"Russia\",\"PES\",\"ULPB\",61.8852,34.1547,151,4,\"N\",\"Europe/Moscow\"\n", + "6115,\"Hrodno Airport\",\"Hrodna\",\"Belarus\",\"GNA\",\"UMMG\",53.602,24.0538,443,3,\"E\",\"Europe/Minsk\"\n", + "6116,\"Mogilev Airport\",\"Mogilev\",\"Belarus\",\"MVQ\",\"UMOO\",53.9549,30.0951,637,3,\"E\",\"Europe/Minsk\"\n", + "6117,\"Yeniseysk Airport\",\"Yeniseysk\",\"Russia\",\"EIE\",\"UNII\",58.4742,92.1125,253,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "6118,\"Kyzyl Airport\",\"Kyzyl\",\"Russia\",\"KYZ\",\"UNKY\",51.6694,94.4006,2123,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "6119,\"Spichenkovo Airport\",\"Novokuznetsk\",\"Russia\",\"NOZ\",\"UNWW\",53.8114,86.8772,1024,7,\"N\",\"Asia/Omsk\"\n", + "6120,\"Khatanga Airport\",\"Khatanga\",\"Russia\",\"HTG\",\"UOHH\",71.978058,102.490514,95,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "6121,\"Igarka Airport\",\"Igarka\",\"Russia\",\"IAA\",\"UOII\",67.4372,86.6219,82,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "6122,\"Grozny Airport\",\"Grozny\",\"Russia\",\"GRV\",\"URMG\",43.2981,45.7841,548,4,\"N\",\"Europe/Moscow\"\n", + "6123,\"Nalchik Airport\",\"Nalchik\",\"Russia\",\"NAL\",\"URMN\",43.5129,43.6366,1461,4,\"N\",\"Europe/Moscow\"\n", + "6124,\"Beslan Airport\",\"Beslan\",\"Russia\",\"OGZ\",\"URMO\",43.2051,44.6066,1673,4,\"N\",\"Europe/Moscow\"\n", + "6125,\"Elista Airport\",\"Elista\",\"Russia\",\"ESL\",\"URWI\",46.3739,44.3309,501,4,\"N\",\"Europe/Moscow\"\n", + "6126,\"Aleknagik Airport\",\"Aleknagik\",\"United States\",\"WKK\",\"5A8\",59.2826,-158.618,66,-9,\"A\",\"America/Anchorage\"\n", + "6127,\"Brookings Regional Airport\",\"Brookings\",\"United States\",\"BKX\",\"BKX\",44.3048,-96.8169,1648,-6,\"A\",\"America/Chicago\"\n", + "6128,\"Mercer County Airport\",\"Bluefield\",\"United States\",\"BLF\",\"BLF\",37.2958,-81.2077,2857,-5,\"A\",\"America/New_York\"\n", + "6129,\"Kearney Municipal Airport\",\"Kearney\",\"United States\",\"EAR\",\"EAR\",40.727,-99.0068,2131,-6,\"A\",\"America/Chicago\"\n", + "6130,\"Mid Delta Regional Airport\",\"Greenville\",\"United States\",\"GLH\",\"GLH\",33.4829,-90.9856,131,-6,\"A\",\"America/Chicago\"\n", + "6131,\"Laughlin-Bullhead Intl\",\"Bullhead\",\"United States\",\"IFP\",\"IFP\",35.1574,-114.56,695,-7,\"A\",\"America/Phoenix\"\n", + "6132,\"Kingman Airport\",\"Kingman\",\"United States\",\"IGM\",\"IGM\",35.2595,-113.938,3449,-7,\"A\",\"America/Phoenix\"\n", + "6133,\"Tri Cities Airport\",\"Pasco\",\"United States\",\"PSC\",\"PSC\",46.2647,-119.119,410,-8,\"A\",\"America/Los_Angeles\"\n", + "6134,\"Akutan Seaplane Base\",\"Akutan\",\"United States\",\"KQA\",\"KQA\",54.1325,-165.785,0,-9,\"A\",\"America/Anchorage\"\n", + "6135,\"Grant County Airport\",\"Silver City\",\"United States\",\"SVC\",\"SVC\",32.6365,-108.156,5446,-7,\"A\",\"America/Denver\"\n", + "6136,\"Lopez Island Airport\",\"Lopez\",\"United States\",\"LPS\",\"S31\",48.4839,-122.938,209,-8,\"A\",\"America/Los_Angeles\"\n", + "6137,\"Salekhard Airport\",\"Salekhard\",\"Russia\",\"SLY\",\"USDD\",66.590753,66.611042,218,6,\"N\",\"Asia/Yekaterinburg\"\n", + "6138,\"Khanty Mansiysk Airport\",\"Khanty-Mansiysk\",\"Russia\",\"HMA\",\"USHH\",61.028479,69.086067,76,6,\"N\",\"Asia/Yekaterinburg\"\n", + "6139,\"Nyagan Airport\",\"Nyagan\",\"Russia\",\"NYA\",\"USHN\",62.11,65.615,361,6,\"N\",\"Asia/Yekaterinburg\"\n", + "6140,\"Sovetsky Tyumenskaya Airport\",\"Sovetskiy\",\"Russia\",\"OVS\",\"USHS\",61.32,63.6044,351,6,\"N\",\"Asia/Yekaterinburg\"\n", + "6141,\"Izhevsk Airport\",\"Izhevsk\",\"Russia\",\"IJK\",\"USII\",56.8281,53.4575,531,4,\"N\",\"Europe/Moscow\"\n", + "6142,\"Pobedilovo Airport\",\"Kirov\",\"Russia\",\"KVX\",\"USKK\",58.5033,49.3483,479,4,\"N\",\"Europe/Moscow\"\n", + "6143,\"Nadym Airport\",\"Nadym\",\"Russia\",\"NYM\",\"USMM\",65.4809,72.6989,49,6,\"N\",\"Asia/Yekaterinburg\"\n", + "6144,\"Raduzhny Airport\",\"Raduzhnyi\",\"Russia\",\"RAT\",\"USNR\",62.1586,77.3289,250,6,\"N\",\"Asia/Yekaterinburg\"\n", + "6145,\"Nefteyugansk Airport\",\"Nefteyugansk\",\"Russia\",\"NFG\",\"USRN\",61.1083,72.65,115,6,\"N\",\"Asia/Yekaterinburg\"\n", + "6146,\"Kurgan Airport\",\"Kurgan\",\"Russia\",\"KRO\",\"USUU\",55.4753,65.4156,240,6,\"N\",\"Asia/Yekaterinburg\"\n", + "6147,\"Khudzhand Airport\",\"Khudzhand\",\"Tajikistan\",\"LBD\",\"UTDL\",40.2154,69.6947,1450,5,\"U\",\"Asia/Dushanbe\"\n", + "6148,\"Andizhan Airport\",\"Andizhan\",\"Uzbekistan\",\"AZN\",\"UTKA\",40.7277,72.294,1515,5,\"U\",\"Asia/Samarkand\"\n", + "6149,\"Fergana Airport\",\"Fergana\",\"Uzbekistan\",\"FEG\",\"UTKF\",40.3588,71.745,1980,5,\"U\",\"Asia/Samarkand\"\n", + "6150,\"Namangan Airport\",\"Namangan\",\"Uzbekistan\",\"NMA\",\"UTKN\",40.9846,71.5567,1555,5,\"U\",\"Asia/Samarkand\"\n", + "6151,\"Nukus Airport\",\"Nukus\",\"Uzbekistan\",\"NCU\",\"UTNN\",42.4884,59.6233,246,5,\"U\",\"Asia/Samarkand\"\n", + "6152,\"Urgench Airport\",\"Urgench\",\"Uzbekistan\",\"UGC\",\"UTNU\",41.5843,60.6417,320,5,\"U\",\"Asia/Samarkand\"\n", + "6153,\"Karshi Khanabad Airport\",\"Khanabad\",\"Uzbekistan\",\"KSQ\",\"UTSL\",38.8336,65.9215,1365,5,\"U\",\"Asia/Samarkand\"\n", + "6154,\"Termez Airport\",\"Termez\",\"Uzbekistan\",\"TMJ\",\"UTST\",37.286667,67.31,1027,5,\"U\",\"Asia/Samarkand\"\n", + "6155,\"Staroselye Airport\",\"Rybinsk\",\"Russia\",\"RYB\",\"UUBK\",58.1042,38.9294,423,4,\"N\",\"Europe/Moscow\"\n", + "6156,\"Belgorod International Airport\",\"Belgorod\",\"Russia\",\"EGO\",\"UUOB\",50.6438,36.5901,735,4,\"N\",\"Europe/Moscow\"\n", + "6157,\"Kursk East Airport\",\"Kursk\",\"Russia\",\"URS\",\"UUOK\",51.7506,36.2956,686,4,\"N\",\"Europe/Moscow\"\n", + "6158,\"Lipetsk Airport\",\"Lipetsk\",\"Russia\",\"LPK\",\"UUOL\",52.7028,39.5378,584,4,\"N\",\"Europe/Moscow\"\n", + "6159,\"Vorkuta Airport\",\"Vorkuta\",\"Russia\",\"VKT\",\"UUYW\",67.4886,63.9931,604,4,\"N\",\"Europe/Moscow\"\n", + "6160,\"Bugulma Airport\",\"Bugulma\",\"Russia\",\"UUA\",\"UWKB\",54.64,52.8017,991,4,\"N\",\"Europe/Moscow\"\n", + "6161,\"Yoshkar-Ola Airport\",\"Yoshkar-Ola\",\"Russia\",\"JOK\",\"UWKJ\",56.7006,47.9047,348,4,\"N\",\"Europe/Moscow\"\n", + "6162,\"Cheboksary Airport\",\"Cheboksary\",\"Russia\",\"CSY\",\"UWKS\",56.0903,47.3473,558,4,\"N\",\"Europe/Moscow\"\n", + "6163,\"Ulyanovsk East Airport\",\"Ulyanovsk\",\"Russia\",\"ULY\",\"UWLW\",54.401,48.8027,252,4,\"N\",\"Europe/Moscow\"\n", + "6164,\"Orsk Airport\",\"Orsk\",\"Russia\",\"OSW\",\"UWOR\",51.0725,58.5956,909,6,\"N\",\"Asia/Yekaterinburg\"\n", + "6165,\"Penza Airport\",\"Penza\",\"Russia\",\"PEZ\",\"UWPP\",53.1106,45.0211,614,4,\"N\",\"Europe/Moscow\"\n", + "6166,\"Saransk Airport\",\"Saransk\",\"Russia\",\"SKX\",\"UWPS\",54.1251,45.2123,676,4,\"N\",\"Europe/Moscow\"\n", + "6167,\"Balakovo Airport\",\"Balakovo\",\"Russia\",\"BWO\",\"UWSB\",51.8583,47.7456,95,4,\"N\",\"Europe/Moscow\"\n", + "6168,\"Hubli Airport\",\"Hubli\",\"India\",\"HBX\",\"VAHB\",15.3617,75.0849,2171,5.5,\"N\",\"Asia/Calcutta\"\n", + "6169,\"Koggala Airport\",\"Koggala\",\"Sri Lanka\",\"KCT\",\"VCCK\",5.99368,80.3203,10,5.5,\"U\",\"Asia/Colombo\"\n", + "6170,\"Wirawila Airport\",\"Wirawila\",\"Sri Lanka\",\"WRZ\",\"VCCW\",6.254494,81.235189,50,5.5,\"U\",\"Asia/Colombo\"\n", + "6171,\"Battambang Airport\",\"Battambang\",\"Cambodia\",\"BBM\",\"VDBG\",13.0956,103.224,59,7,\"U\",\"Asia/Phnom_Penh\"\n", + "6172,\"Shillong Airport\",\"Shillong\",\"India\",\"SHL\",\"VEBI\",25.7036,91.9787,2910,5.5,\"N\",\"Asia/Calcutta\"\n", + "6173,\"Lokpriya Gopinath Bordoloi International Airport\",\"Guwahati\",\"India\",\"GAU\",\"VEGT\",26.106092,91.585939,162,5.5,\"N\",\"Asia/Calcutta\"\n", + "6174,\"Dimapur Airport\",\"Dimapur\",\"India\",\"DMU\",\"VEMR\",25.8839,93.7711,487,5.5,\"N\",\"Asia/Calcutta\"\n", + "6175,\"Tezpur Airport\",\"Tezpur\",\"India\",\"TEZ\",\"VETZ\",26.7091,92.7847,240,5.5,\"N\",\"Asia/Calcutta\"\n", + "6176,\"Barisal Airport\",\"Barisal\",\"Bangladesh\",\"BZL\",\"VGBR\",22.801,90.3012,23,6,\"U\",\"Asia/Dhaka\"\n", + "6177,\"Ban Huoeisay Airport\",\"Huay Xai\",\"Laos\",\"OUI\",\"VLHS\",20.2573,100.437,1380,7,\"N\",\"Asia/Vientiane\"\n", + "6178,\"Kontum Airport\",\"Kontum\",\"Vietnam\",\"KON\",\"\",14.35,108.017,1804,7,\"U\",\"Asia/Saigon\"\n", + "6179,\"Bharatpur Airport\",\"Bharatpur\",\"Nepal\",\"BHR\",\"VNBP\",27.6781,84.4294,600,5.75,\"N\",\"Asia/Katmandu\"\n", + "6180,\"Chandragadhi Airport\",\"Chandragarhi\",\"Nepal\",\"BDP\",\"VNCG\",26.570822,88.079578,300,5.75,\"N\",\"Asia/Katmandu\"\n", + "6181,\"Meghauli Airport\",\"Meghauli\",\"Nepal\",\"MEY\",\"VNMG\",27.583,84.233,600,5.75,\"N\",\"Asia/Katmandu\"\n", + "6182,\"Nepalgunj Airport\",\"Nepalgunj\",\"Nepal\",\"KEP\",\"VNNG\",28.103633,81.667006,540,5.75,\"N\",\"Asia/Katmandu\"\n", + "6183,\"Gan Island Airport\",\"Gan Island\",\"Maldives\",\"GAN\",\"VRMG\",-0.693342,73.1556,6,5,\"U\",\"Indian/Maldives\"\n", + "6184,\"Hanimaadhoo Airport\",\"Haa Dhaalu Atoll\",\"Maldives\",\"HAQ\",\"VRMH\",6.74423,73.1705,4,5,\"U\",\"Indian/Maldives\"\n", + "6185,\"Kadhdhoo Airport\",\"Laamu Atoll\",\"Maldives\",\"KDO\",\"VRMK\",1.85917,73.5219,4,5,\"U\",\"Indian/Maldives\"\n", + "6186,\"Mae Sot Airport\",\"Tak\",\"Thailand\",\"MAQ\",\"VTPM\",16.699856,98.545056,690,7,\"U\",\"Asia/Bangkok\"\n", + "6187,\"Buon Ma Thuot Airport\",\"Buonmethuot\",\"Vietnam\",\"BMV\",\"VVBM\",12.668311,108.120272,1729,7,\"U\",\"Asia/Saigon\"\n", + "6188,\"Cat Bi International Airport\",\"Haiphong\",\"Vietnam\",\"HPH\",\"VVCI\",20.819386,106.724989,6,7,\"U\",\"Asia/Saigon\"\n", + "6189,\"Cam Ranh Airport\",\"Nha Trang\",\"Vietnam\",\"CXR\",\"VVCR\",11.998153,109.219372,40,7,\"U\",\"Asia/Saigon\"\n", + "6190,\"Co Ong Airport\",\"Conson\",\"Vietnam\",\"VCS\",\"VVCS\",8.731831,106.632589,20,7,\"U\",\"Asia/Saigon\"\n", + "6191,\"Trà Nóc Airport\",\"Can Tho\",\"Vietnam\",\"VCA\",\"VVCT\",10.085119,105.711922,9,7,\"U\",\"Asia/Saigon\"\n", + "6192,\"Dien Bien Phu Airport\",\"Dienbienphu\",\"Vietnam\",\"DIN\",\"VVDB\",21.397481,103.007831,1611,7,\"U\",\"Asia/Saigon\"\n", + "6193,\"Phu Cat Airport\",\"Phucat\",\"Vietnam\",\"UIH\",\"VVPC\",13.954986,109.042267,80,7,\"U\",\"Asia/Saigon\"\n", + "6194,\"Pleiku Airport\",\"Pleiku\",\"Vietnam\",\"PXU\",\"VVPK\",14.004522,108.017158,2434,7,\"U\",\"Asia/Saigon\"\n", + "6195,\"Vinh Airport\",\"Vinh\",\"Vietnam\",\"VII\",\"VVVH\",18.737569,105.670764,23,7,\"U\",\"Asia/Saigon\"\n", + "6196,\"Banmaw Airport\",\"Banmaw\",\"Burma\",\"BMO\",\"VYBM\",24.269033,97.246153,370,6.5,\"U\",\"Asia/Rangoon\"\n", + "6197,\"Dawei Airport\",\"Dawei\",\"Burma\",\"TVY\",\"VYDW\",14.103886,98.203636,84,6.5,\"U\",\"Asia/Rangoon\"\n", + "6198,\"Kawthoung Airport\",\"Kawthoung\",\"Burma\",\"KAW\",\"VYKT\",10.049258,98.538006,180,6.5,\"U\",\"Asia/Rangoon\"\n", + "6199,\"Loikaw Airport\",\"Loikaw\",\"Burma\",\"LIW\",\"VYLK\",19.691494,97.214825,2940,6.5,\"U\",\"Asia/Rangoon\"\n", + "6200,\"Mawlamyine Airport\",\"Mawlamyine\",\"Burma\",\"MNU\",\"VYMM\",16.444747,97.660669,52,6.5,\"U\",\"Asia/Rangoon\"\n", + "6201,\"Pathein Airport\",\"Pathein\",\"Burma\",\"BSX\",\"VYPN\",16.815233,94.779911,20,6.5,\"U\",\"Asia/Rangoon\"\n", + "6202,\"Pakhokku Airport\",\"Pakhokku\",\"Burma\",\"PKK\",\"VYPU\",21.3333,95.1,151,6.5,\"U\",\"Asia/Rangoon\"\n", + "6203,\"Sumbawa Besar Airport\",\"Sumbawa Island\",\"Indonesia\",\"SWQ\",\"WADS\",-8.489039,117.412119,16,8,\"N\",\"Asia/Makassar\"\n", + "6204,\"Tambolaka Airport\",\"Waikabubak-Sumba Island\",\"Indonesia\",\"TMC\",\"WADT\",-9.409717,119.244494,161,8,\"N\",\"Asia/Makassar\"\n", + "6205,\"Bokondini Airport\",\"Bokondini-Papua Island\",\"Indonesia\",\"BUI\",\"WAJB\",-3.58365,138.533,9104,9,\"N\",\"Asia/Jayapura\"\n", + "6206,\"Senggeh Airport\",\"Senggeh-Papua Island\",\"Indonesia\",\"SEH\",\"WAJS\",-3.43333,140.817,914,9,\"N\",\"Asia/Jayapura\"\n", + "6207,\"Tanjung Harapan Airport\",\"Tanjung Selor-Borneo Island\",\"Indonesia\",\"TJS\",\"WALG\",2.83641,117.374,10,8,\"N\",\"Asia/Makassar\"\n", + "6208,\"Datadawai Airport\",\"Datadawai-Borneo Island\",\"Indonesia\",\"DTD\",\"WALJ\",0.717,116.483,229,8,\"N\",\"Asia/Makassar\"\n", + "6209,\"Barau(Kalimaru) Airport\",\"Tanjung Redep-Borneo Island\",\"Indonesia\",\"BEJ\",\"WALK\",2.155497,117.432256,59,8,\"N\",\"Asia/Makassar\"\n", + "6210,\"Warukin Airport\",\"Tanjung-Borneo Island\",\"Indonesia\",\"TJG\",\"WAON\",-2.21656,115.436,197,8,\"N\",\"Asia/Makassar\"\n", + "6211,\"Sampit(Hasan) Airport\",\"Sampit-Borneo Island\",\"Indonesia\",\"SMQ\",\"WAOS\",-2.499194,112.974992,50,7,\"N\",\"Asia/Jakarta\"\n", + "6212,\"Dumatubun Airport\",\"Langgur-Kei Islands\",\"Indonesia\",\"LUV\",\"WAPL\",-5.661619,132.731431,10,9,\"N\",\"Asia/Jayapura\"\n", + "6213,\"Mali Airport\",\"Alor Island\",\"Indonesia\",\"ARD\",\"WATM\",-8.13234,124.597,10,8,\"N\",\"Asia/Makassar\"\n", + "6214,\"Belaga Airport\",\"Belaga\",\"Malaysia\",\"BLG\",\"WBGC\",2.65,113.767,200,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "6215,\"Long Lellang Airport\",\"Long Datih\",\"Malaysia\",\"LGL\",\"WBGF\",3.421,115.154,1400,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "6216,\"Long Seridan Airport\",\"Long Seridan\",\"Malaysia\",\"ODN\",\"WBGI\",3.967,115.05,607,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "6217,\"Mukah Airport\",\"Mukah\",\"Malaysia\",\"MKM\",\"WBGK\",2.90639,112.08,13,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "6218,\"Bakalalan Airport\",\"Bakalalan\",\"Malaysia\",\"BKM\",\"WBGQ\",3.974,115.618,2900,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "6219,\"Lawas Airport\",\"Lawas\",\"Malaysia\",\"LWY\",\"WBGW\",4.84917,115.408,5,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "6220,\"Bario Airport\",\"Bario\",\"Malaysia\",\"BBN\",\"WBGZ\",3.73389,115.479,3350,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "6221,\"Tomanggong Airport\",\"Tomanggong\",\"Malaysia\",\"TMG\",\"WBKM\",5.4,118.65,26,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "6222,\"Kudat Airport\",\"Kudat\",\"Malaysia\",\"KUD\",\"WBKT\",6.9225,116.836,10,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "6223,\"Radin Inten II (Branti) Airport\",\"Bandar Lampung-Sumatra Island\",\"Indonesia\",\"TKG\",\"WICT\",-5.242339,105.178939,282,7,\"N\",\"Asia/Jakarta\"\n", + "6224,\"Halim Perdanakusuma International Airport\",\"Jakarta\",\"Indonesia\",\"HLP\",\"WIHH\",-6.26661,106.891,84,7,\"N\",\"Asia/Jakarta\"\n", + "6225,\"Ranai Airport\",\"Ranai-Natuna Besar Island\",\"Indonesia\",\"NTX\",\"WION\",3.908714,108.387897,7,7,\"N\",\"Asia/Jakarta\"\n", + "6226,\"Pangsuma Airport\",\"Putussibau-Borneo Island\",\"Indonesia\",\"PSU\",\"WIOP\",0.835578,112.937144,297,7,\"N\",\"Asia/Jakarta\"\n", + "6227,\"Susilo Airport\",\"Sintang-Borneo Island\",\"Indonesia\",\"SQG\",\"WIOS\",0.063619,111.473428,98,7,\"N\",\"Asia/Jakarta\"\n", + "6228,\"Pendopo Airport\",\"Talang Gudang-Sumatra Island\",\"Indonesia\",\"PDO\",\"WIPQ\",-3.286069,103.8796,184,7,\"N\",\"Asia/Jakarta\"\n", + "6229,\"Malikus Saleh Airport\",\"Lhok Seumawe-Sumatra Island\",\"Indonesia\",\"LSW\",\"WITM\",5.226681,96.950342,90,7,\"N\",\"Asia/Jakarta\"\n", + "6230,\"Pulau Pangkor Airport\",\"Pangkor Island\",\"Malaysia\",\"PKG\",\"WMPA\",4.24472,100.553,19,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "6231,\"Stagen Airport\",\"Laut Island\",\"Indonesia\",\"KBU\",\"WRBK\",-3.29472,116.165,4,8,\"N\",\"Asia/Makassar\"\n", + "6232,\"Long Bawan Airport\",\"Long Bawan-Borneo Island\",\"Indonesia\",\"LBW\",\"WRLB\",3.867,115.683,3590,8,\"N\",\"Asia/Makassar\"\n", + "6233,\"Nunukan Airport\",\"Nunukan-Nunukan Island\",\"Indonesia\",\"NNX\",\"WRLF\",4.13653,117.667,52,8,\"N\",\"Asia/Makassar\"\n", + "6234,\"Long Apung Airport\",\"Long Apung-Borneo Island\",\"Indonesia\",\"LPU\",\"WRLP\",0.583,115.6,627,8,\"N\",\"Asia/Makassar\"\n", + "6235,\"Albany Airport\",\"Albany\",\"Australia\",\"ALH\",\"YABA\",-34.9433,117.809,233,8,\"O\",\"Australia/Perth\"\n", + "6236,\"Argyle Airport\",\"Argyle\",\"Australia\",\"GYL\",\"YARG\",-16.6369,128.451,522,8,\"O\",\"Australia/Perth\"\n", + "6237,\"Aurukun Airport\",\"Aurukun\",\"Australia\",\"AUU\",\"YAUR\",-13.3539,141.721,31,10,\"O\",\"Australia/Brisbane\"\n", + "6238,\"Barcaldine Airport\",\"Barcaldine\",\"Australia\",\"BCI\",\"YBAR\",-23.5653,145.307,878,10,\"O\",\"Australia/Brisbane\"\n", + "6239,\"Badu Island Airport\",\"Badu Island\",\"Australia\",\"BDD\",\"YBAU\",-10.15,141.175,14,9,\"O\",\\N\n", + "6240,\"Birdsville Airport\",\"Birdsville\",\"Australia\",\"BVI\",\"YBDV\",-25.8975,139.348,159,10,\"O\",\"Australia/Brisbane\"\n", + "6241,\"Broken Hill Airport\",\"Broken Hill\",\"Australia\",\"BHQ\",\"YBHI\",-32.0014,141.472,958,9.5,\"O\",\"Australia/Adelaide\"\n", + "6242,\"Hamilton Island Airport\",\"Hamilton Island\",\"Australia\",\"HTI\",\"YBHM\",-20.3581,148.952,15,10,\"O\",\"Australia/Brisbane\"\n", + "6243,\"Bedourie Airport\",\"Bedourie\",\"Australia\",\"BEU\",\"YBIE\",-24.3461,139.46,300,10,\"O\",\"Australia/Brisbane\"\n", + "6244,\"Bourke Airport\",\"Bourke\",\"Australia\",\"BRK\",\"YBKE\",-30.0392,145.952,352,10,\"O\",\"Australia/Sydney\"\n", + "6245,\"Burketown Airport\",\"Burketown\",\"Australia\",\"BUC\",\"YBKT\",-17.7486,139.534,21,10,\"O\",\"Australia/Brisbane\"\n", + "6246,\"Boigu Airport\",\"Boigu\",\"Australia\",\"GIC\",\"YBOI\",-9.23278,142.218,23,10,\"O\",\\N\n", + "6247,\"Oakey Airport\",\"Oakey\",\"Australia\",\"OKY\",\"YBOK\",-27.411389,151.735278,1335,10,\"O\",\"Australia/Brisbane\"\n", + "6248,\"Boulia Airport\",\"Boulia\",\"Australia\",\"BQL\",\"YBOU\",-22.9133,139.9,542,10,\"O\",\"Australia/Brisbane\"\n", + "6249,\"Bathurst Airport\",\"Bathurst\",\"Australia\",\"BHS\",\"YBTH\",-33.4094,149.652,2435,10,\"O\",\"Australia/Sydney\"\n", + "6250,\"Blackwater Airport\",\"Blackwater\",\"Australia\",\"BLT\",\"YBTR\",-23.6031,148.807,657,10,\"O\",\"Australia/Brisbane\"\n", + "6251,\"Carnarvon Airport\",\"Carnarvon\",\"Australia\",\"CVQ\",\"YCAR\",-24.8806,113.672,13,8,\"O\",\"Australia/Perth\"\n", + "6252,\"Cobar Airport\",\"Cobar\",\"Australia\",\"CAZ\",\"YCBA\",-31.5383,145.794,724,10,\"O\",\"Australia/Sydney\"\n", + "6253,\"Coober Pedy Airport\",\"Coober Pedy\",\"Australia\",\"CPD\",\"YCBP\",-29.04,134.721,740,9.5,\"O\",\"Australia/Adelaide\"\n", + "6254,\"Coconut Island Airport\",\"Coconut Island\",\"Australia\",\"CNC\",\"YCCT\",-10.05,143.07,3,10,\"O\",\\N\n", + "6255,\"Cloncurry Airport\",\"Cloncurry\",\"Australia\",\"CNJ\",\"YCCY\",-20.6686,140.504,616,10,\"O\",\"Australia/Brisbane\"\n", + "6256,\"Ceduna Airport\",\"Ceduna\",\"Australia\",\"CED\",\"YCDU\",-32.1306,133.71,77,9.5,\"O\",\"Australia/Adelaide\"\n", + "6257,\"Cooktown Airport\",\"Cooktown\",\"Australia\",\"CTN\",\"YCKN\",-15.4447,145.184,26,10,\"O\",\"Australia/Brisbane\"\n", + "6258,\"Cunnamulla Airport\",\"Cunnamulla\",\"Australia\",\"CMA\",\"YCMU\",-28.03,145.622,630,10,\"O\",\"Australia/Brisbane\"\n", + "6259,\"Coonamble Airport\",\"Coonamble\",\"Australia\",\"CNB\",\"YCNM\",-30.9833,148.376,604,10,\"O\",\"Australia/Sydney\"\n", + "6260,\"Coen Airport\",\"Coen\",\"Australia\",\"CUQ\",\"YCOE\",-13.7608,143.114,532,10,\"O\",\"Australia/Brisbane\"\n", + "6261,\"Cooma Snowy Mountains Airport\",\"Cooma\",\"Australia\",\"OOM\",\"YCOM\",-36.3006,148.974,3088,10,\"O\",\"Australia/Sydney\"\n", + "6262,\"Doomadgee Airport\",\"Doomadgee\",\"Australia\",\"DMD\",\"YDMG\",-17.9403,138.822,153,10,\"O\",\"Australia/Brisbane\"\n", + "6263,\"Darnley Island Airport\",\"Darnley Island\",\"Australia\",\"NLF\",\"YDNI\",-9.58333,143.767,0,10,\"O\",\\N\n", + "6264,\"Devonport Airport\",\"Devonport\",\"Australia\",\"DPO\",\"YDPO\",-41.1697,146.43,33,10,\"O\",\"Australia/Melbourne\"\n", + "6265,\"Elcho Island Airport\",\"Elcho Island\",\"Australia\",\"ELC\",\"YELD\",-12.0194,135.571,101,9.5,\"O\",\"Australia/Darwin\"\n", + "6266,\"Esperance Airport\",\"Esperance\",\"Australia\",\"EPR\",\"YESP\",-33.6844,121.823,470,8,\"O\",\"Australia/Perth\"\n", + "6267,\"Flinders Island Airport\",\"Flinders Island\",\"Australia\",\"FLS\",\"YFLI\",-40.0917,147.993,10,10,\"O\",\"Australia/Melbourne\"\n", + "6268,\"Geraldton Airport\",\"Geraldton\",\"Australia\",\"GET\",\"YGEL\",-28.7961,114.707,121,8,\"O\",\"Australia/Perth\"\n", + "6269,\"Gladstone Airport\",\"Gladstone\",\"Australia\",\"GLT\",\"YGLA\",-23.8697,151.223,64,10,\"O\",\"Australia/Brisbane\"\n", + "6270,\"Groote Eylandt Airport\",\"Groote Eylandt\",\"Australia\",\"GTE\",\"YGTE\",-13.975,136.46,53,9.5,\"O\",\"Australia/Darwin\"\n", + "6271,\"Griffith Airport\",\"Griffith\",\"Australia\",\"GFF\",\"YGTH\",-34.2508,146.067,439,10,\"O\",\"Australia/Sydney\"\n", + "6272,\"Horn Island Airport\",\"Horn Island\",\"Australia\",\"HID\",\"YHID\",-10.5864,142.29,43,10,\"O\",\"Australia/Brisbane\"\n", + "6273,\"Hooker Creek Airport\",\"Hooker Creek\",\"Australia\",\"HOK\",\"YHOO\",-18.3367,130.638,320,9.5,\"O\",\"Australia/Darwin\"\n", + "6274,\"Mount Hotham Airport\",\"Mount Hotham\",\"Australia\",\"MHU\",\"YHOT\",-37.0475,147.334,4260,10,\"O\",\"Australia/Hobart\"\n", + "6275,\"Hughenden Airport\",\"Hughenden\",\"Australia\",\"HGD\",\"YHUG\",-20.815,144.225,1043,10,\"O\",\"Australia/Brisbane\"\n", + "6276,\"Julia Creek Airport\",\"Julia Creek\",\"Australia\",\"JCK\",\"YJLC\",-20.6683,141.723,404,10,\"O\",\"Australia/Brisbane\"\n", + "6277,\"Kalbarri Airport\",\"Kalbarri\",\"Australia\",\"KAX\",\"YKBR\",-27.69,114.262,157,8,\"O\",\"Australia/Perth\"\n", + "6278,\"King Island Airport\",\"King Island\",\"Australia\",\"KNS\",\"YKII\",-39.8775,143.878,132,10,\"O\",\"Australia/Melbourne\"\n", + "6279,\"Kalkgurung Airport\",\"Kalkgurung\",\"Australia\",\"KFG\",\"YKKG\",-17.4319,130.808,646,9.5,\"O\",\"Australia/Darwin\"\n", + "6280,\"Karumba Airport\",\"Karumba\",\"Australia\",\"KRB\",\"YKMB\",-17.4567,140.83,5,10,\"O\",\"Australia/Brisbane\"\n", + "6281,\"Kowanyama Airport\",\"Kowanyama\",\"Australia\",\"KWM\",\"YKOW\",-15.4856,141.751,35,10,\"O\",\"Australia/Brisbane\"\n", + "6282,\"Kubin Airport\",\"Kubin\",\"Australia\",\"KUG\",\"YKUB\",-10.225,142.218,15,10,\"O\",\"Australia/Brisbane\"\n", + "6283,\"Leonora Airport\",\"Leonora\",\"Australia\",\"LNO\",\"YLEO\",-28.8781,121.315,1217,8,\"O\",\"Australia/Perth\"\n", + "6284,\"Lake Evella Airport\",\"Lake Evella\",\"Australia\",\"LEL\",\"YLEV\",-12.4989,135.806,256,9.5,\"O\",\"Australia/Darwin\"\n", + "6285,\"Lord Howe Island Airport\",\"Lord Howe Island\",\"Australia\",\"LDH\",\"YLHI\",-31.5383,159.077,5,10.5,\"O\",\\N\n", + "6286,\"Lockhart River Airport\",\"Lockhart River\",\"Australia\",\"IRG\",\"YLHR\",-12.7869,143.305,77,10,\"O\",\"Australia/Brisbane\"\n", + "6287,\"Lismore Airport\",\"Lismore\",\"Australia\",\"LSY\",\"YLIS\",-28.8303,153.26,35,10,\"O\",\"Australia/Sydney\"\n", + "6288,\"Lightning Ridge Airport\",\"Lightning Ridge\",\"Australia\",\"LHG\",\"YLRD\",-29.4567,147.984,540,10,\"O\",\"Australia/Sydney\"\n", + "6289,\"Longreach Airport\",\"Longreach\",\"Australia\",\"LRE\",\"YLRE\",-23.4342,144.28,627,10,\"O\",\"Australia/Brisbane\"\n", + "6290,\"Leinster Airport\",\"Leinster\",\"Australia\",\"LER\",\"YLST\",-27.8433,120.703,1631,8,\"O\",\"Australia/Perth\"\n", + "6291,\"Laverton Airport\",\"Laverton\",\"Australia\",\"LVO\",\"YLTN\",-28.6136,122.424,1530,8,\"O\",\"Australia/Perth\"\n", + "6292,\"Mabuiag Island Airport\",\"Mabuiag Island\",\"Australia\",\"UBB\",\"YMAA\",-9.95,142.183,0,10,\"O\",\"Australia/Brisbane\"\n", + "6293,\"Meekatharra Airport\",\"Meekatharra\",\"Australia\",\"MKR\",\"YMEK\",-26.6117,118.548,1713,8,\"O\",\"Australia/Perth\"\n", + "6294,\"Merimbula Airport\",\"Merimbula\",\"Australia\",\"MIM\",\"YMER\",-36.9086,149.901,7,10,\"O\",\"Australia/Sydney\"\n", + "6295,\"Milingimbi Airport\",\"Milingimbi\",\"Australia\",\"MGT\",\"YMGB\",-12.0944,134.894,53,9.5,\"O\",\"Australia/Darwin\"\n", + "6296,\"Maningrida Airport\",\"Maningrida\",\"Australia\",\"MNG\",\"YMGD\",-12.0561,134.234,123,9.5,\"O\",\"Australia/Darwin\"\n", + "6297,\"McArthur River Mine Airport\",\"McArthur River Mine\",\"Australia\",\"MCV\",\"YMHU\",-16.4425,136.084,131,9.5,\"O\",\"Australia/Darwin\"\n", + "6298,\"Mildura Airport\",\"Mildura\",\"Australia\",\"MQL\",\"YMIA\",-34.2292,142.086,167,10,\"O\",\"Australia/Hobart\"\n", + "6299,\"Mount Magnet Airport\",\"Mount Magnet\",\"Australia\",\"MMG\",\"YMOG\",-28.1161,117.842,1354,8,\"O\",\"Australia/Perth\"\n", + "6300,\"Moree Airport\",\"Moree\",\"Australia\",\"MRZ\",\"YMOR\",-29.4989,149.845,701,10,\"O\",\"Australia/Sydney\"\n", + "6301,\"Moranbah Airport\",\"Moranbah\",\"Australia\",\"MOV\",\"YMRB\",-22.0578,148.077,770,10,\"O\",\"Australia/Brisbane\"\n", + "6302,\"Moruya Airport\",\"Moruya\",\"Australia\",\"MYA\",\"YMRY\",-35.8978,150.144,14,10,\"O\",\"Australia/Sydney\"\n", + "6303,\"Mount Gambier Airport\",\"Mount Gambier\",\"Australia\",\"MGB\",\"YMTG\",-37.7456,140.785,212,9.5,\"O\",\"Australia/Adelaide\"\n", + "6304,\"Mornington Island Airport\",\"Mornington Island\",\"Australia\",\"ONG\",\"YMTI\",-16.6625,139.178,33,10,\"O\",\"Australia/Brisbane\"\n", + "6305,\"Murray Island Airport\",\"Murray Island\",\"Australia\",\"MYI\",\"YMUI\",-9.91667,144.055,0,10,\"O\",\\N\n", + "6306,\"Maryborough Airport\",\"Maryborough\",\"Australia\",\"MBH\",\"YMYB\",-25.5133,152.715,38,10,\"O\",\"Australia/Brisbane\"\n", + "6307,\"Narrandera Airport\",\"Narrandera\",\"Australia\",\"NRA\",\"YNAR\",-34.7022,146.512,474,10,\"O\",\"Australia/Sydney\"\n", + "6308,\"Narrabri Airport\",\"Narrabri\",\"Australia\",\"NAA\",\"YNBR\",-30.3192,149.827,788,10,\"O\",\"Australia/Sydney\"\n", + "6309,\"Normanton Airport\",\"Normanton\",\"Australia\",\"NTN\",\"YNTN\",-17.6836,141.07,73,10,\"O\",\"Australia/Brisbane\"\n", + "6310,\"Newman Airport\",\"Newman\",\"Australia\",\"ZNE\",\"YNWN\",-23.4178,119.803,1724,8,\"O\",\"Australia/Perth\"\n", + "6311,\"Olympic Dam Airport\",\"Olympic Dam\",\"Australia\",\"OLP\",\"YOLD\",-30.485,136.877,343,9.5,\"O\",\"Australia/Adelaide\"\n", + "6312,\"Port Augusta Airport\",\"Argyle\",\"Australia\",\"PUG\",\"YPAG\",-32.506944,137.716667,56,9.5,\"O\",\"Australia/Adelaide\"\n", + "6313,\"Palm Island Airport\",\"Palm Island\",\"Australia\",\"PMK\",\"YPAM\",-18.7553,146.581,28,10,\"O\",\"Australia/Brisbane\"\n", + "6314,\"Paraburdoo Airport\",\"Paraburdoo\",\"Australia\",\"PBO\",\"YPBO\",-23.1711,117.745,1406,8,\"O\",\"Australia/Perth\"\n", + "6315,\"Cocos Keeling Island Airport\",\"Cocos Keeling Island\",\"Cocos (Keeling) Islands\",\"CCK\",\"YPCC\",-12.1883,96.8339,10,6.5,\"U\",\"Indian/Cocos\"\n", + "6316,\"Gove Airport\",\"Gove\",\"Australia\",\"GOV\",\"YPGV\",-12.2694,136.818,192,9.5,\"O\",\"Australia/Darwin\"\n", + "6317,\"Parkes Airport\",\"Parkes\",\"Australia\",\"PKE\",\"YPKS\",-33.1314,148.239,1069,10,\"O\",\"Australia/Sydney\"\n", + "6318,\"Port Lincoln Airport\",\"Port Lincoln\",\"Australia\",\"PLO\",\"YPLC\",-34.6053,135.88,36,9.5,\"O\",\"Australia/Adelaide\"\n", + "6319,\"Pormpuraaw Airport\",\"Pormpuraaw\",\"Australia\",\"EDR\",\"YPMP\",-14.8967,141.609,10,10,\"O\",\"Australia/Brisbane\"\n", + "6320,\"Port Macquarie Airport\",\"Port Macquarie\",\"Australia\",\"PQQ\",\"YPMQ\",-31.4358,152.863,12,10,\"O\",\"Australia/Sydney\"\n", + "6321,\"Portland Airport\",\"Portland\",\"Australia\",\"PTJ\",\"YPOD\",-38.3181,141.471,265,10,\"O\",\"Australia/Hobart\"\n", + "6322,\"Quilpie Airport\",\"Quilpie\",\"Australia\",\"ULP\",\"YQLP\",-26.6122,144.253,655,10,\"O\",\"Australia/Brisbane\"\n", + "6323,\"Ramingining Airport\",\"Ramingining\",\"Australia\",\"RAM\",\"YRNG\",-12.3564,134.898,206,9.5,\"O\",\"Australia/Darwin\"\n", + "6324,\"Roma Airport\",\"Roma\",\"Australia\",\"RMA\",\"YROM\",-26.545,148.775,1032,10,\"O\",\"Australia/Brisbane\"\n", + "6325,\"St George Airport\",\"St George\",\"Australia\",\"SGO\",\"YSGE\",-28.0497,148.595,656,10,\"O\",\"Australia/Brisbane\"\n", + "6326,\"Shark Bay Airport\",\"Shark Bay\",\"Australia\",\"MJK\",\"YSHK\",-25.8939,113.577,111,8,\"O\",\"Australia/Perth\"\n", + "6327,\"Saibai Island Airport\",\"Saibai Island\",\"Australia\",\"SBR\",\"YSII\",-9.37833,142.625,0,10,\"O\",\\N\n", + "6328,\"Strahan Airport\",\"Strahan\",\"Australia\",\"SRN\",\"YSRN\",-42.155,145.292,20,10,\"O\",\"Australia/Melbourne\"\n", + "6329,\"Thargomindah Airport\",\"Thargomindah\",\"Australia\",\"XTG\",\"YTGM\",-27.9864,143.811,433,10,\"O\",\"Australia/Brisbane\"\n", + "6330,\"Tennant Creek Airport\",\"Tennant Creek\",\"Australia\",\"TCA\",\"YTNK\",-19.6344,134.183,1236,9.5,\"O\",\"Australia/Darwin\"\n", + "6331,\"Victoria River Downs Airport\",\"Victoria River Downs\",\"Australia\",\"VCD\",\"YVRD\",-16.4033,131.002,89,9.5,\"O\",\"Australia/Darwin\"\n", + "6332,\"Warraber Island Airport\",\"Sue Islet\",\"Australia\",\"SYU\",\"YWBS\",-10.2083,142.825,3,10,\"O\",\"Australia/Brisbane\"\n", + "6333,\"Windorah Airport\",\"Windorah\",\"Australia\",\"WNR\",\"YWDH\",-25.4131,142.667,452,10,\"O\",\"Australia/Brisbane\"\n", + "6334,\"Whyalla Airport\",\"Whyalla\",\"Australia\",\"WYA\",\"YWHA\",-33.0589,137.514,41,9.5,\"O\",\"Australia/Adelaide\"\n", + "6335,\"Wiluna Airport\",\"Wiluna\",\"Australia\",\"WUN\",\"YWLU\",-26.6292,120.221,1649,8,\"O\",\"Australia/Perth\"\n", + "6336,\"Wollongong Airport\",\"Wollongong\",\"Australia\",\"WOL\",\"YWOL\",-34.5611,150.789,31,10,\"O\",\"Australia/Sydney\"\n", + "6337,\"Winton Airport\",\"Winton\",\"Australia\",\"WIN\",\"YWTN\",-22.3636,143.086,638,10,\"O\",\"Australia/Brisbane\"\n", + "6338,\"Wynyard Airport\",\"Burnie\",\"Australia\",\"BWT\",\"YWYY\",-40.9989,145.731,62,10,\"O\",\"Australia/Melbourne\"\n", + "6339,\"Yorke Island Airport\",\"Yorke Island\",\"Australia\",\"OKR\",\"YYKI\",-9.75703,143.411,0,10,\"O\",\\N\n", + "6340,\"Yam Island Airport\",\"Yam Island\",\"Australia\",\"XMY\",\"YYMI\",-9.90111,142.776,0,10,\"O\",\\N\n", + "6341,\"Beijing Nanyuan Airport\",\"Beijing\",\"China\",\"NAY\",\"ZBBB\",39.7825,116.387778,0,8,\"U\",\"Asia/Chongqing\"\n", + "6342,\"Chifeng Airport\",\"Chifeng\",\"China\",\"CIF\",\"ZBCF\",42.235,118.908,0,8,\"U\",\"Asia/Chongqing\"\n", + "6343,\"Changzhi Airport\",\"Changzhi\",\"China\",\"CIH\",\"ZBCZ\",36.2475,113.126,0,8,\"U\",\"Asia/Chongqing\"\n", + "6344,\"Datong Airport\",\"Datong\",\"China\",\"DAT\",\"ZBDT\",40.0603,113.482,3442,8,\"U\",\"Asia/Chongqing\"\n", + "6345,\"Baita Airport\",\"Hohhot\",\"China\",\"HET\",\"ZBHH\",40.851422,111.824103,3556,8,\"U\",\"Asia/Chongqing\"\n", + "6346,\"Baotou Airport\",\"Baotou\",\"China\",\"BAV\",\"ZBOW\",40.56,109.997,3321,8,\"U\",\"Asia/Chongqing\"\n", + "6347,\"Shijiazhuang Daguocun International Airport\",\"Shijiazhuang\",\"China\",\"SJW\",\"ZBSJ\",38.280686,114.6973,233,8,\"U\",\"Asia/Chongqing\"\n", + "6348,\"Tongliao Airport\",\"Tongliao\",\"China\",\"TGO\",\"ZBTL\",43.5567,122.2,0,8,\"U\",\"Asia/Chongqing\"\n", + "6349,\"Ulanhot Airport\",\"Ulanhot\",\"China\",\"HLH\",\"ZBUL\",46.083,122.017,0,8,\"U\",\"Asia/Chongqing\"\n", + "6350,\"Xilinhot Airport\",\"Xilinhot\",\"China\",\"XIL\",\"ZBXH\",43.9156,115.964,0,8,\"U\",\"Asia/Chongqing\"\n", + "6351,\"Beihai Airport\",\"Beihai\",\"China\",\"BHY\",\"ZGBH\",21.5394,109.294,0,8,\"U\",\"Asia/Chongqing\"\n", + "6352,\"Changde Airport\",\"Changde\",\"China\",\"CGD\",\"ZGCD\",28.9189,111.64,0,8,\"U\",\"Asia/Chongqing\"\n", + "6353,\"Dayong Airport\",\"Dayong\",\"China\",\"DYG\",\"ZGDY\",29.1028,110.443,692,8,\"U\",\"Asia/Chongqing\"\n", + "6354,\"Meixian Airport\",\"Meixian\",\"China\",\"MXZ\",\"ZGMX\",24.35,116.133,0,8,\"U\",\"Asia/Chongqing\"\n", + "6355,\"Zhuhai Airport\",\"Zhuhai\",\"China\",\"ZUH\",\"ZGSD\",22.0064,113.376,0,8,\"U\",\"Asia/Chongqing\"\n", + "6356,\"Bailian Airport\",\"Liuzhou\",\"China\",\"LZH\",\"ZGZH\",24.2075,109.391,295,8,\"U\",\"Asia/Chongqing\"\n", + "6357,\"Zhanjiang Airport\",\"Zhanjiang\",\"China\",\"ZHA\",\"ZGZJ\",21.2144,110.358,0,8,\"U\",\"Asia/Chongqing\"\n", + "6358,\"Enshi Airport\",\"Enshi\",\"China\",\"ENH\",\"ZHES\",30.3203,109.485,0,8,\"U\",\"Asia/Chongqing\"\n", + "6359,\"Nanyang Airport\",\"Nanyang\",\"China\",\"NNY\",\"ZHNY\",32.9808,112.615,0,8,\"U\",\"Asia/Chongqing\"\n", + "6360,\"Xiangfan Airport\",\"Xiangfan\",\"China\",\"XFN\",\"ZHXF\",32.1506,112.291,0,8,\"U\",\"Asia/Chongqing\"\n", + "6361,\"Yichang Airport\",\"Yichang\",\"China\",\"YIH\",\"ZHYC\",30.671,111.441,0,8,\"U\",\"Asia/Chongqing\"\n", + "6362,\"Ankang Airport\",\"Ankang\",\"China\",\"AKA\",\"ZLAK\",32.7081,108.931,0,8,\"U\",\"Asia/Chongqing\"\n", + "6363,\"Golmud Airport\",\"Golmud\",\"China\",\"GOQ\",\"ZLGM\",34.633,98.867,0,8,\"U\",\"Asia/Chongqing\"\n", + "6364,\"Hanzhong Airport\",\"Hanzhong\",\"China\",\"HZG\",\"ZLHZ\",33.0636,107.008,0,8,\"U\",\"Asia/Chongqing\"\n", + "6365,\"Qingyang Airport\",\"Qingyang\",\"China\",\"IQN\",\"ZLQY\",35.7997,107.603,0,8,\"U\",\"Asia/Chongqing\"\n", + "6366,\"Xining Caojiabu Airport\",\"Xining\",\"China\",\"XNN\",\"ZLXN\",36.5275,102.043,0,8,\"U\",\"Asia/Chongqing\"\n", + "6367,\"Yan'an Airport\",\"Yan'an\",\"China\",\"ENY\",\"ZLYA\",36.6369,109.554,0,8,\"U\",\"Asia/Chongqing\"\n", + "6368,\"Yulin Airport\",\"Yulin\",\"China\",\"UYN\",\"ZLYL\",38.2692,109.731,0,8,\"U\",\"Asia/Chongqing\"\n", + "6369,\"Arvaikheer Airport\",\"Arvaikheer\",\"Mongolia\",\"AVK\",\"ZMAH\",46.2503,102.802,5932,8,\"U\",\"Asia/Ulaanbaatar\"\n", + "6370,\"Altai Airport\",\"Altai\",\"Mongolia\",\"LTI\",\"ZMAT\",46.3764,96.2211,7260,8,\"U\",\"Asia/Ulaanbaatar\"\n", + "6371,\"Bayankhongor Airport\",\"Bayankhongor\",\"Mongolia\",\"BYN\",\"ZMBH\",46.1633,100.704,6085,8,\"U\",\"Asia/Ulaanbaatar\"\n", + "6372,\"Dalanzadgad Airport\",\"Dalanzadgad\",\"Mongolia\",\"DLZ\",\"ZMDZ\",43.5917,104.43,4787,8,\"U\",\"Asia/Ulaanbaatar\"\n", + "6373,\"Khovd Airport\",\"Khovd\",\"Mongolia\",\"HVD\",\"ZMKD\",47.9541,91.6282,4898,7,\"U\",\"Asia/Hovd\"\n", + "6374,\"Muren Airport\",\"Muren\",\"Mongolia\",\"MXV\",\"ZMMN\",49.6633,100.099,4272,8,\"U\",\"Asia/Ulaanbaatar\"\n", + "6375,\"Diqing Airport\",\"Shangri-La\",\"China\",\"DIG\",\"ZPDQ\",27.7936,99.6772,0,8,\"U\",\"Asia/Chongqing\"\n", + "6376,\"Mangshi Airport\",\"Luxi\",\"China\",\"LUM\",\"ZPLX\",24.4011,98.5317,2890,8,\"U\",\"Asia/Chongqing\"\n", + "6377,\"Simao Airport\",\"Simao\",\"China\",\"SYM\",\"ZPSM\",22.7933,100.959,0,8,\"U\",\"Asia/Chongqing\"\n", + "6378,\"Zhaotong Airport\",\"Zhaotong\",\"China\",\"ZAT\",\"ZPZT\",27.3256,103.755,0,8,\"U\",\"Asia/Chongqing\"\n", + "6379,\"Ganzhou Airport\",\"Ganzhou\",\"China\",\"KOW\",\"ZSGZ\",25.8258,114.912,0,8,\"U\",\"Asia/Chongqing\"\n", + "6380,\"Jingdezhen Airport\",\"Jingdezhen\",\"China\",\"JDZ\",\"ZSJD\",29.3386,117.176,112,8,\"U\",\"Asia/Chongqing\"\n", + "6381,\"Jiujiang Lushan Airport\",\"Jiujiang\",\"China\",\"JIU\",\"ZSJJ\",29.733,115.983,0,8,\"U\",\"Asia/Chongqing\"\n", + "6382,\"Quzhou Airport\",\"Quzhou\",\"China\",\"JUZ\",\"ZSJU\",28.9658,118.899,0,8,\"U\",\"Asia/Chongqing\"\n", + "6383,\"Lianyungang Airport\",\"Lianyungang\",\"China\",\"LYG\",\"ZSLG\",34.55,119.25,0,8,\"U\",\"Asia/Chongqing\"\n", + "6384,\"Huangyan Luqiao Airport\",\"Huangyan\",\"China\",\"HYN\",\"ZSLQ\",28.5622,121.429,0,8,\"U\",\"Asia/Chongqing\"\n", + "6385,\"Shubuling Airport\",\"Linyi\",\"China\",\"LYI\",\"ZSLY\",35.0461,118.412,0,8,\"U\",\"Asia/Chongqing\"\n", + "6386,\"Quanzhou Airport\",\"Quanzhou\",\"China\",\"JJN\",\"ZSQZ\",24.7964,118.59,0,8,\"U\",\"Asia/Chongqing\"\n", + "6387,\"Tunxi International Airport\",\"Huangshan\",\"China\",\"TXN\",\"ZSTX\",29.7333,118.256,0,8,\"U\",\"Asia/Chongqing\"\n", + "6388,\"Weifang Airport\",\"Weifang\",\"China\",\"WEF\",\"ZSWF\",36.6467,119.119,0,8,\"U\",\"Asia/Chongqing\"\n", + "6389,\"Weihai Airport\",\"Weihai\",\"China\",\"WEH\",\"ZSWH\",37.1871,122.229,145,8,\"U\",\"Asia/Chongqing\"\n", + "6390,\"Wuxi Airport\",\"Wuxi\",\"China\",\"WUX\",\"ZSWX\",31.4944,120.429,0,8,\"U\",\"Asia/Chongqing\"\n", + "6391,\"Nanping Wuyishan Airport\",\"Wuyishan\",\"China\",\"WUS\",\"ZSWY\",27.7019,118.001,614,8,\"U\",\"Asia/Chongqing\"\n", + "6392,\"Wenzhou Yongqiang Airport\",\"Wenzhou\",\"China\",\"WNZ\",\"ZSWZ\",27.9122,120.852,0,8,\"U\",\"Asia/Chongqing\"\n", + "6393,\"Yancheng Airport\",\"Yancheng\",\"China\",\"YNZ\",\"ZSYN\",33.3856,120.125,0,8,\"U\",\"Asia/Chongqing\"\n", + "6394,\"Yiwu Airport\",\"Yiwu\",\"China\",\"YIW\",\"ZSYW\",29.3447,120.032,0,8,\"U\",\"Asia/Chongqing\"\n", + "6395,\"Zhoushan Airport\",\"Zhoushan\",\"China\",\"HSN\",\"ZSZS\",29.9342,122.362,0,8,\"U\",\"Asia/Chongqing\"\n", + "6396,\"Qamdo Bangda Airport\",\"Bangda\",\"China\",\"BPX\",\"ZUBD\",30.5536,97.1083,14219,8,\"U\",\"Asia/Chongqing\"\n", + "6397,\"Dachuan Airport\",\"Dazhou\",\"China\",\"DAX\",\"ZUDX\",31.3,107.5,0,8,\"U\",\"Asia/Chongqing\"\n", + "6398,\"Guangyuan Airport\",\"Guangyuan\",\"China\",\"GYS\",\"ZUGU\",32.3911,105.702,0,8,\"U\",\"Asia/Chongqing\"\n", + "6399,\"Luzhou Airport\",\"Luzhou\",\"China\",\"LZO\",\"ZULZ\",28.8522,105.393,0,8,\"U\",\"Asia/Chongqing\"\n", + "6400,\"Mianyang Airport\",\"Mianyang\",\"China\",\"MIG\",\"ZUMY\",31.4281,104.741,0,8,\"U\",\"Asia/Chongqing\"\n", + "6401,\"Nanchong Airport\",\"Nanchong\",\"China\",\"NAO\",\"ZUNC\",30.754,106.062,0,8,\"U\",\"Asia/Chongqing\"\n", + "6402,\"Nyingchi Airport\",\"Nyingchi\",\"China\",\"LZY\",\"ZUNZ\",29.3033,94.3353,9675,8,\"U\",\"Asia/Chongqing\"\n", + "6403,\"Wanxian Airport\",\"Wanxian\",\"China\",\"WXN\",\"ZUWX\",30.8361,108.406,0,8,\"U\",\"Asia/Chongqing\"\n", + "6404,\"Aksu Airport\",\"Aksu\",\"China\",\"AKU\",\"ZWAK\",41.2625,80.2917,0,8,\"U\",\"Asia/Chongqing\"\n", + "6405,\"Qiemo Airport\",\"Qiemo\",\"China\",\"IQM\",\"ZWCM\",38.1494,85.5328,4108,8,\"U\",\"Asia/Chongqing\"\n", + "6406,\"Kuqa Airport\",\"Kuqa\",\"China\",\"KCA\",\"ZWKC\",41.7181,82.9869,3524,8,\"U\",\"Asia/Chongqing\"\n", + "6407,\"Korla Airport\",\"Korla\",\"China\",\"KRL\",\"ZWKL\",41.6978,86.1289,0,8,\"U\",\"Asia/Chongqing\"\n", + "6408,\"Karamay Airport\",\"Karamay\",\"China\",\"KRY\",\"ZWKM\",45.617,84.883,0,8,\"U\",\"Asia/Chongqing\"\n", + "6409,\"Yining Airport\",\"Yining\",\"China\",\"YIN\",\"ZWYN\",43.9558,81.3303,0,8,\"U\",\"Asia/Chongqing\"\n", + "6410,\"Heihe Airport\",\"Heihe\",\"China\",\"HEK\",\"ZYHE\",50.25,127.3,8530,8,\"U\",\"Asia/Chongqing\"\n", + "6411,\"Jiamusi Airport\",\"Jiamusi\",\"China\",\"JMU\",\"ZYJM\",46.843394,130.465389,262,8,\"U\",\"Asia/Chongqing\"\n", + "6412,\"Jinzhou Airport\",\"Jinzhou\",\"China\",\"JNZ\",\"ZYJZ\",41.1014,121.062,0,8,\"U\",\"Asia/Chongqing\"\n", + "6413,\"Qiqihar Sanjiazi Airport\",\"Qiqihar\",\"China\",\"NDG\",\"ZYQQ\",47.239628,123.918131,477,8,\"U\",\"Asia/Chongqing\"\n", + "6414,\"Yanji Airport\",\"Yanji\",\"China\",\"YNJ\",\"ZYYJ\",42.8828,129.451258,624,8,\"U\",\"Asia/Chongqing\"\n", + "6417,\"Valletta Sea Plane Terminal\",\"Valletta\",\"Malta\",\"\",\\N,35.888863,14.508417,0,1,\"E\",\"Europe/Malta\"\n", + "6418,\"Gozo Sea Plane Terminal\",\"Mgarr\",\"Malta\",\"\",\\N,36.026389,14.298333,0,1,\"E\",\"Europe/Malta\"\n", + "6419,\"Mount Keith\",\"Mount Keith\",\"Australia\",\"WME\",\"YMNE\",-27.286389,120.554722,1792,8,\"O\",\"Australia/Perth\"\n", + "6420,\"Gran Roque Airport\",\"Los Roques\",\"Venezuela\",\"LRV\",\"SVRS\",11.95,-66.67,17,-4.5,\"S\",\"America/Caracas\"\n", + "6421,\"Inishmore Airport\",\"Inis Mor\",\"Ireland\",\"IOR\",\"EIIM\",53.1067,-9.65361,24,0,\"U\",\"Europe/Dublin\"\n", + "6422,\"Connemara Regional Airport\",\"Indreabhan\",\"Ireland\",\"NNR\",\"EICA\",53.2303,-9.46778,0,0,\"U\",\"Europe/Dublin\"\n", + "6423,\"Guettin MecklenburgVorpommern Germany\",\"Ruegen\",\"Germany\",\"GTI\",\"EDCG\",54.383333,13.325278,69,1,\"U\",\"Europe/Berlin\"\n", + "6424,\"Berezovo\",\"Berezovo\",\"Russia\",\"NBB\",\"USHB\",63.9241,65.0487,98,6,\"N\",\"Asia/Yekaterinburg\"\n", + "6425,\"Szczecin-Dabie\",\"Szczecin\",\"Poland\",\"\",\"EPSD\",53.471138,14.63775,3,1,\"E\",\"Europe/Warsaw\"\n", + "6426,\"Worcester Regional Airport\",\"Worcester\",\"United States\",\"ORH\",\"KORH\",42.2673,-71.8757,1009,-5,\"A\",\"America/New_York\"\n", + "6427,\"Anqing Airport\",\"Anqing\",\"China\",\"AQG\",\"ZSAQ\",30.5822,117.0502,0,8,\"N\",\"Asia/Chongqing\"\n", + "6428,\"Jing Gang Shan Airport\",\"Ji An\",\"China\",\"JGS\",\\N,26.8997,114.7375,0,8,\"N\",\"Asia/Chongqing\"\n", + "6429,\"Shanhaiguan Airport\",\"Qinhuangdao\",\"China\",\"SHP\",\"ZBSH\",39.9681,119.731,0,8,\"N\",\"Asia/Chongqing\"\n", + "6430,\"Zhangxiao\",\"Yuncheng\",\"China\",\"YCU\",\"ZBYC\",35.018,110.993,0,8,\"N\",\"Asia/Chongqing\"\n", + "6431,\"Lanzhou Airport\",\"Lanzhou\",\"China\",\"LHW\",\"ZLAN\",36.117,103.617,0,8,\"N\",\"Asia/Chongqing\"\n", + "6432,\"Jiayuguan Airport\",\"Jiayuguan\",\"China\",\"JGN\",\"ZLJQ\",39.8569,98.3414,0,8,\"N\",\"Asia/Chongqing\"\n", + "6433,\"Dandong\",\"Dandong\",\"China\",\"DDG\",\"ZYDD\",40.0255,124.2866,0,8,\"N\",\"Asia/Chongqing\"\n", + "6434,\"Ordos Ejin Horo\",\"Dongsheng\",\"China\",\"DSN\",\"ZBDS\",39.85,110.033,0,8,\"N\",\"Asia/Chongqing\"\n", + "6435,\"Panzhihua\",\"Panzhihua\",\"China\",\"PZI\",\"ZUZH\",26.54,101.799,9186,8,\"N\",\"Asia/Chongqing\"\n", + "6436,\"Grytviken\",\"Grytviken\",\"South Georgia and the Islands\",\"\",\\N,-54.16534,-36.30288,0,-2,\"N\",\"Atlantic/South_Georgia\"\n", + "6437,\"South Shetland\",\"South Shetland\",\"Antarctica\",\"\",\\N,-68,-58,0,-4,\"N\",\\N\n", + "6438,\"South Shetland\",\"South Shetland\",\"Antarctica\",\"\",\\N,-63.37,-62.83,0,12,\"N\",\"Antarctica/South_Pole\"\n", + "6439,\"New Rochelle Amtrak Station\",\"New Rochelle\",\"United States\",\"\",\\N,40.913923,-73.782008,66,-5,\"A\",\"America/New_York\"\n", + "8838,\"Anoka County Blaine Airport\",\"Anoka\",\"United States\",\"\",\"KANE\",45.1448889,-93.2101944,912,-6,\"U\",\"America/Chicago\"\n", + "6441,\"New Haven Rail Station\",\"New Haven\",\"United States\",\"ZVE\",\\N,41.298669,-72.925992,7,-5,\"A\",\"America/New_York\"\n", + "6442,\"Chicago Union Station\",\"Chicago\",\"United States\",\"\",\\N,41.8791966,-87.6388507,581,-6,\"A\",\"America/Chicago\"\n", + "6443,\"Dibrugarh Airport\",\"Dibrugarh\",\"India\",\"DIB\",\\N,27.4839,95.0169,362,5.5,\"N\",\"Asia/Calcutta\"\n", + "6444,\"Doha Free Zone Airport\",\"Doha\",\"Qatar\",\"XOZ\",\\N,24.8333,50.9166,0,3,\"N\",\"Asia/Qatar\"\n", + "6445,\"Bremerton National\",\"Bremerton\",\"United States\",\"PWT\",\"KPWT\",47.490244,-122.764814,444,-8,\"A\",\"America/Los_Angeles\"\n", + "6446,\"Spencer Muni\",\"Spencer\",\"United States\",\"SPW\",\"KSPW\",43.165527,-95.202805,1339,-6,\"A\",\"America/Chicago\"\n", + "6447,\"Jefferson City Memorial Airport\",\"Jefferson City\",\"United States\",\"JEF\",\"KJEF\",38.5912,-92.1561,549,-6,\"A\",\"America/Chicago\"\n", + "6448,\"Grand Canyon West Airport\",\"Grand Canyon West\",\"United States\",\"GCW\",\\N,35.5925,-113.4859,4825,-7,\"U\",\"America/Phoenix\"\n", + "6449,\"Boulder City Municipal Airport\",\"Boulder City\",\"United States\",\"BLD\",\"KBVU\",35.5651,-114.514,2201,-7,\"U\",\"America/Phoenix\"\n", + "6450,\"Tannheim\",\"Tannheim\",\"Germany\",\"\",\"EDMT\",48.011736,10.100903,1902,1,\"E\",\"Europe/Berlin\"\n", + "6451,\"Glenview Amtrak Station\",\"Glenview\",\"United States\",\"\",\\N,42.074197,-87.805346,630,-6,\"A\",\"America/Chicago\"\n", + "6452,\"Baltimore Penn Station\",\"Baltimore\",\"United States\",\"\",\\N,39.307408,-76.615552,62,-5,\"A\",\"America/New_York\"\n", + "6453,\"Summit Camp\",\"Ice Cap\",\"Greenland\",\"\",\\N,72.579187,-38.4572,11000,0,\"U\",\"America/Danmarkshavn\"\n", + "6454,\"Unst Airport\",\"Unst\",\"United Kingdom\",\"UNT\",\"EGPW\",60.7472,-0.85385,0,0,\"E\",\"Europe/London\"\n", + "6455,\"Pagerungan\",\"Pagerungan\",\"Indonesia\",\"\",\"WA19\",-6.956608,115.931239,20,7,\"N\",\"Asia/Jakarta\"\n", + "6456,\"Provincetown Muni\",\"Provincetown\",\"United States\",\"PVC\",\"KPVC\",42.071945,-70.22139,9,-5,\"A\",\"America/New_York\"\n", + "6457,\"Kenmore Air Harbor Seaplane Base\",\"Seattle\",\"United States\",\"LKE\",\"KW55\",47.629,-122.339,14,-8,\"A\",\"America/Los_Angeles\"\n", + "6458,\"Seria - Anduki\",\"Seria\",\"Brunei\",\"\",\"WBAK\",4.6333,114.3833,5,8,\"N\",\"Asia/Brunei\"\n", + "6459,\"Magas\",\"Nazran\",\"Russia\",\"%u0\",\"%u04\",43.323815,45.017761,1060,4,\"N\",\"Europe/Moscow\"\n", + "6460,\"Saint Barthelemy\",\"Gustavia\",\"France\",\"SBH\",\"TFFJ\",17.9023,-62.8324,50,-4,\"E\",\\N\n", + "6461,\"Morro de Sao Paulo\",\"Morro de Sao Paulo\",\"Brazil\",\"\",\\N,-13.2314,-38.5432,10,3,\"S\",\\N\n", + "6462,\"Morro de Sao Paulo\",\"Morro de Sao Paulo\",\"Brazil\",\"\",\\N,-13.386571,-38.909122,10,-3,\"S\",\"America/Fortaleza\"\n", + "6463,\"Belize City Municipal Airport\",\"Belize\",\"Belize\",\"TZA\",\\N,17.5344,-88.298,15,-6,\"N\",\"America/Belize\"\n", + "6464,\"Kostroma - Sokerkino\",\"Kostroma\",\"Russia\",\"\",\"UUBA\",57.47,41.01,453,4,\"N\",\"Europe/Moscow\"\n", + "6465,\"Sukhumi Dranda\",\"Sukhumi\",\"Georgia\",\"SUI\",\"UGSS\",42.87,41.12,0,4,\"N\",\"Asia/Tbilisi\"\n", + "6466,\"Tambow\",\"Tambow\",\"Russia\",\"TBW\",\"UUOT\",52.81,41.48,126,4,\"N\",\"Europe/Moscow\"\n", + "6467,\"Oban Airport\",\"North Connel\",\"United Kingdom\",\"OBN\",\"EGEO\",56.464,-5.4,23,0,\"E\",\"Europe/London\"\n", + "6468,\"Vilamendhoo\",\"Vilamendhoo\",\"Maldives\",\"\",\\N,73.0191098670891,3.60965475494316,0,1,\"U\",\"Arctic/Longyearbyen\"\n", + "6469,\"Vilamendhoo\",\"Vilamendhoo\",\"Maldives\",\"\",\\N,3.60965475494316,73.0191098670891,0,5,\"U\",\"Indian/Maldives\"\n", + "6470,\"Vilamendhoo\",\"Vilamendhoo\",\"Maldives\",\"\",\\N,3.484,73.802,0,5,\"U\",\"Indian/Maldives\"\n", + "6471,\"Vilamendhoo\",\"Vilamendhoo\",\"Maldives\",\"\",\\N,73.801,3.801,0,5,\"U\",\\N\n", + "6472,\"Aaa\",\"Aaa\",\"Maldives\",\"\",\\N,73.9,3.222,0,5,\"U\",\\N\n", + "6473,\"Vilamendhoo\",\"Vilamendhoo\",\"Maldives\",\"\",\\N,0,0,0,5,\"U\",\\N\n", + "6474,\"Vilamendhoo\",\"Vilamendhoo\",\"Maldives\",\"\",\\N,3.8,73.8,0,5,\"U\",\"Indian/Maldives\"\n", + "6475,\"Sharya\",\"Sharya\",\"Russia\",\"\",\\N,58.2321,45.3314,453,4,\"N\",\"Europe/Moscow\"\n", + "6476,\"Mt. Fuji Shizuoka Airport\",\"Shizuoka\",\"Japan\",\"FSZ\",\"RJNS\",34.796111,138.189444,433,9,\"N\",\"Asia/Tokyo\"\n", + "6477,\"Erechim Airport\",\"Erechim\",\"Brazil\",\"ERM\",\"SSER\",-27.6619,-52.2683,2498,-3,\"S\",\"America/Sao_Paulo\"\n", + "6478,\"La Cote\",\"Prangins\",\"Switzerland\",\"\",\"LSGP\",46.413056,6.258611,1350,1,\"E\",\"Europe/Zurich\"\n", + "6479,\"Courchevel Airport\",\"Courcheval\",\"France\",\"CVF\",\"LFLJ\",45.3967,6.63472,6588,1,\"E\",\"Europe/Paris\"\n", + "6481,\"Fullerton Municipal Airport\",\"Fullerton\",\"United States\",\"FUL\",\"KFUL\",33.521925,-117.584722,96,-8,\"A\",\"America/Los_Angeles\"\n", + "6482,\"Concord Rgnl\",\"Concord\",\"United States\",\"\",\"KJQF\",35.387775,-80.709136,705,-5,\"A\",\"America/New_York\"\n", + "6483,\"Sandown\",\"Isle Of Wight\",\"United Kingdom\",\"\",\"EGHN\",50.677776,-1.317803,18,0,\"E\",\"Europe/London\"\n", + "6484,\"Fort William Heliport\",\"Fort William\",\"United Kingdom\",\"FWM\",\\N,56.816666,-5.116667,0,0,\"E\",\"Europe/London\"\n", + "6485,\"Navoi Airport\",\"Navoi\",\"Uzbekistan\",\"NVI\",\"UTSA\",40.1172,65.1708,0,5,\"E\",\"Asia/Samarkand\"\n", + "6486,\"La Defense Heliport\",\"Paris\",\"France\",\"JPU\",\\N,48.86667,2.333333,0,1,\"E\",\"Europe/Paris\"\n", + "6487,\"Andernos-Les-Bains\",\"Andernos-Les-Bains\",\"France\",\"\",\"LFCD\",44.81111,-1.186023,0,1,\"E\",\"Europe/Paris\"\n", + "6488,\"Ronda Airport\",\"Ronda\",\"Spain\",\"RRA\",\\N,36.75,-5.166667,2500,1,\"E\",\"Europe/Madrid\"\n", + "6489,\"Bienenfarm Airport\",\"Nauen\",\"Germany\",\"\",\"EDOI\",52.6617,12.7458,131,1,\"E\",\"Europe/Berlin\"\n", + "8131,\"Nguma Island Lodge Airstrip\",\"Etsha 13\",\"Botswana\",\"\",\\N,-18.9538,22.3668,0,2,\"U\",\"Africa/Gaborone\"\n", + "6491,\"Champion-7\",\"Champion-7\",\"Brunei\",\"\",\\N,5.21,114.7419,12,8,\"N\",\\N\n", + "6492,\"Ain Arnat Airport\",\"Setif\",\"Algeria\",\"QSF\",\"DAAS\",36.1781,5.32449,3360,1,\"U\",\"Africa/Algiers\"\n", + "6493,\"La Rochelle-Ile de Re\",\"La Rochelle\",\"France\",\"LRH\",\"LFBH\",46.1792,-1.19528,74,1,\"E\",\"Europe/Paris\"\n", + "6494,\"Friedman Mem\",\"Hailey\",\"United States\",\"SUN\",\"KSUN\",43.504444,-114.296194,5320,-7,\"A\",\"America/Denver\"\n", + "6497,\"Yverdon-Les-Bains\",\"Yverdon-Les-Bains\",\"Switzerland\",\"\",\"LSGY\",46.86667,6.7,1427,1,\"E\",\"Europe/Zurich\"\n", + "6498,\"Portsmouth Airport\",\"Portsmouth\",\"United Kingdom\",\"PME\",\\N,50.8,-1.083333,0,0,\"E\",\"Europe/London\"\n", + "6499,\"Aleksandrowice\",\"Bielsko-Biala\",\"Poland\",\"\",\"EPBA\",49.84997,19.020193,860,1,\"E\",\"Europe/Warsaw\"\n", + "6500,\"Mason City Municipal\",\"Mason City\",\"United States\",\"MCW\",\"KMCW\",43.2247,-93.4067,1243,-6,\"A\",\"America/Chicago\"\n", + "6501,\"Salar de Uyuni\",\"Salar de Uyuni\",\"Bolivia\",\"\",\\N,-20.330706,-67.046881,12000,-4,\"S\",\"America/La_Paz\"\n", + "6502,\"Isla Pescado\",\"Isla Pescado\",\"Bolivia\",\"\",\\N,-20.240932,-67.62538,12020,-4,\"S\",\"America/La_Paz\"\n", + "6503,\"Toro Toro\",\"Toro Toro\",\"Bolivia\",\"\",\\N,-18.133114,-65.768781,9007,-4,\"S\",\"America/La_Paz\"\n", + "6512,\"QTHRL\",\"Queenstown\",\"New Zealand\",\"\",\\N,-44.8898,168.6762,1,12,\"Z\",\"Pacific/Auckland\"\n", + "6513,\"QTHRS\",\"Queenstown\",\"New Zealand\",\"\",\\N,-44.9486,168.7068,1,12,\"Z\",\"Pacific/Auckland\"\n", + "6514,\"Helirafting Start\",\"Queenstown\",\"New Zealand\",\"\",\\N,-44.9486,168.7068,1300,12,\"Z\",\"Pacific/Auckland\"\n", + "6515,\"Helirafting Landung\",\"Queenstown\",\"New Zealand\",\"\",\\N,-44.8898,168.6762,1300,12,\"Z\",\"Pacific/Auckland\"\n", + "6517,\"Jomo Kenyatta\",\"Nairobi\",\"Kenya\",\"\",\\N,-1.319242,36.927775,1625,3,\"U\",\"Africa/Nairobi\"\n", + "6518,\"DWEST\",\"DWEST\",\"Germany\",\"\",\\N,51.025,7.1837,300,1,\"E\",\"Europe/Berlin\"\n", + "6519,\"Niederoeblarn\",\"Niederoeblarn\",\"Austria\",\"\",\"LOGO\",47.478,14.008,2142,1,\"E\",\"Europe/Vienna\"\n", + "6520,\"Bad Voeslau\",\"Bad Voeslau\",\"Austria\",\"\",\"LOAV\",47.965,16.259,765,1,\"E\",\"Europe/Vienna\"\n", + "6521,\"Arekuna Camp\",\"Arekuna\",\"Venezuela\",\"\",\\N,6.290501,-62.534499,0,-4.5,\"S\",\"America/Caracas\"\n", + "6522,\"Uetersen\",\"Uetersen\",\"Germany\",\"\",\"EDHE\",53.646667,9.704167,7,1,\"E\",\"Europe/Berlin\"\n", + "6523,\"HLP1 HS-16\",\"Salzwedel\",\"Germany\",\"\",\\N,52.8333,11.2027,111,1,\"U\",\"Europe/Berlin\"\n", + "6524,\"HLP2 HS-16\",\"Nordhausen\",\"Germany\",\"\",\\N,51.4888,10.7833,278,1,\"U\",\"Europe/Berlin\"\n", + "6525,\"HLP HQ GT\",\"Paetz\",\"Germany\",\"\",\\N,52.2361,13.6667,98,1,\"U\",\"Europe/Berlin\"\n", + "6944,\"Jining Airport \",\"Jining\",\"China\",\"JNG\",\\N,35.417,116.533,1540,8,\"U\",\"Asia/Chongqing\"\n", + "6943,\"Heilongjiang Mohe Airport\",\"Mohe County\",\"China\",\"OHE\",\\N,52.915,122.427,1500,8,\"U\",\"Asia/Chongqing\"\n", + "6942,\"Daqing Saertu Airport\",\"Daqing\",\"China\",\"DAQ\",\\N,46.583333,125,1020,8,\"U\",\"Asia/Chongqing\"\n", + "6941,\"Byron Airport\",\"Byron\",\"United States\",\"\",\\N,37.8284,-121.626,79,-8,\"A\",\"America/Los_Angeles\"\n", + "6940,\"Tunoshna\",\"Yaroslavl\",\"Russia\",\"IAR\",\"UUDL\",57.560666676667,40.157369454444,270,4,\"N\",\"Europe/Moscow\"\n", + "6939,\"Belaya\",\"Sredniiy\",\"Russia\",\"\",\"UIIB\",52.91500001,103.57500001,1396,9,\"N\",\"Asia/Irkutsk\"\n", + "6938,\"Borisoglebskoe\",\"Kazan\",\"Russia\",\"\",\\N,55.86067,49.10099,384,4,\"N\",\"Europe/Moscow\"\n", + "6937,\"Dzemgi\",\"Komsomolsk-on-Amur\",\"Russia\",\"\",\"UHKD\",50.605,137.08167,82,11,\"N\",\"Asia/Vladivostok\"\n", + "6936,\"Khabarovsk-MVL\",\"Khabarovsk\",\"Russia\",\"\",\"UHHT\",48.528,135.179,213,11,\"N\",\"Asia/Vladivostok\"\n", + "6935,\"Irkutsk-2\",\"Irkutsk\",\"Russia\",\"\",\"UIIR\",52.3678,104.183,13411,9,\"N\",\"Asia/Irkutsk\"\n", + "6934,\"Zhukovski\",\"Ramenskoe\",\"Russia\",\"\",\"UUBW\",55.589,38.154,335,4,\"N\",\"Europe/Moscow\"\n", + "6933,\"Gelendzhik\",\"Gelendzhik\",\"Russia\",\"\",\"URKG\",44.55,38.083,100,4,\"N\",\"Europe/Moscow\"\n", + "6932,\"Taganrog-Juzhnyi\",\"Taganrog\",\"Russia\",\"\",\"URRT\",47.117,38.513,100,4,\"N\",\\N\n", + "6931,\"Neuchatel Airport\",\"Neuchatel\",\"Switzerland\",\"QNC\",\"LSGN\",46.9575,6.86472,1427,1,\"E\",\"Europe/Zurich\"\n", + "6930,\"Locarno Airport\",\"Locarno\",\"Switzerland\",\"ZJI\",\"LSZL\",46.1608,8.87861,650,1,\"E\",\"Europe/Zurich\"\n", + "6929,\"Speck-Fehraltorf Airport\",\"Fehraltorf\",\"Switzerland\",\"\",\"LSZK\",47.3764,8.7575,1748,1,\"E\",\"Europe/Zurich\"\n", + "6928,\"Lausanne-la Blecherette Airport\",\"Lausanne\",\"Switzerland\",\"\",\"LSGL\",46.5453,6.61667,2041,1,\"E\",\"Europe/Zurich\"\n", + "6927,\"Triengen Airport\",\"Triengen\",\"Switzerland\",\"\",\"LSPN\",47.2267,8.07806,1594,1,\"E\",\"Europe/Zurich\"\n", + "6926,\"Rimatara\",\"Rimatara\",\"French Polynesia\",\"RMT\",\"NTAM\",-22.637253,-152.805192,56,-10,\"U\",\\N\n", + "6925,\"Ust-Ilimsk\",\"Ust-Ilimsk\",\"Russia\",\"\",\\N,58.116667,102.4666667,1244,9,\"N\",\"Asia/Irkutsk\"\n", + "6924,\"Ust-Kut\",\"Ust-Kut\",\"Russia\",\"UKX\",\"UITT\",56.85,105.7167,2033,9,\"N\",\"Asia/Irkutsk\"\n", + "6923,\"Kavalerovo\",\"Kavalerovo\",\"Russia\",\"\",\\N,44.270556,135.054722,675,11,\"N\",\"Asia/Vladivostok\"\n", + "6922,\"Kirensk\",\"Kirensk\",\"Russia\",\"\",\"UIKK\",57.7667,108.05,780,9,\"N\",\"Asia/Irkutsk\"\n", + "6921,\"Fortman Airport\",\"St. Marys\",\"United States\",\"1OH\",\\N,40.5553253,-84.3866186,885,-5,\"U\",\"America/New_York\"\n", + "6920,\"Bellona\",\"Bellona\",\"Solomon Islands\",\"BN1\",\\N,15.981666666667,-11.3,3,0,\"U\",\"Africa/Nouakchott\"\n", + "6919,\"Bellona\",\"Bellona\",\"Solomon Islands\",\"BNY\",\\N,-11.302,159.8,3,11,\"U\",\"Pacific/Guadalcanal\"\n", + "6918,\"Ringi Cove Airport\",\"Ringi Cove\",\"Solomon Islands\",\"RIN\",\"AGRC\",-8.12639,157.143,0,11,\"U\",\"Pacific/Guadalcanal\"\n", + "6917,\"Antonio Juarbe Pol Airport\",\"Arecibo\",\"Puerto Rico\",\"ARE\",\"TJAB\",18.451111,-66.675556,23,-4,\"N\",\"America/Puerto_Rico\"\n", + "6916,\"Pangborn Field\",\"Wenatchee\",\"United States\",\"EAT\",\"KEAT\",47.398,-120.206,1249,-8,\"A\",\"America/Los_Angeles\"\n", + "6915,\"Bendigo Airport\",\"Bendigo\",\"Australia\",\"\",\"YBDG\",-36.7394,144.33,705,10,\"U\",\"Australia/Hobart\"\n", + "6913,\"Aeroporto Prefeito Octavio de Almeida Neves\",\"Sao Joao del Rei\",\"Brazil\",\"JDR\",\\N,-21.0864,-44.2258,3120,-3,\"S\",\"America/Sao_Paulo\"\n", + "6914,\"RAAF Pearce\",\"Perth\",\"Australia\",\"\",\"YPEA\",-31.66778,116.015,149,8,\"O\",\"Australia/Perth\"\n", + "6911,\"Wangerooge Airport\",\"Wangerooge\",\"Germany\",\"AGE\",\"EDWG\",53.7828,7.91389,7,1,\"E\",\"Europe/Berlin\"\n", + "6910,\"Harle Airport\",\"Harlesiel\",\"Germany\",\"\",\"EDXP\",53.7067,7.82028,7,1,\"E\",\"Europe/Berlin\"\n", + "6909,\"Wittman Regional Airport\",\"Oshkosh\",\"United States\",\"OSH\",\"KOSH\",44.024983,-88.551336,790,-6,\"A\",\"America/Chicago\"\n", + "6908,\"Brest\",\"Brest\",\"Belarus\",\"BQT\",\"UMBB\",52.06,23.53,468,1,\"E\",\"Europe/Warsaw\"\n", + "6907,\"Ternopol\",\"Ternopol\",\"Ukraine\",\"TNL\",\"UKLT\",49.31,25.42,1073,2,\"E\",\"Europe/Kiev\"\n", + "6906,\"Chernigov\",\"Chernigov\",\"Ukraine\",\"CEJ\",\"UKRR\",51.24,31.09,446,2,\"E\",\"Europe/Kiev\"\n", + "6905,\"Lutsk\",\"Lutsk\",\"Ukraine\",\"UKC\",\"UKLC\",50.6833,25.4833,774,2,\"U\",\"Europe/Kiev\"\n", + "6904,\"Southwest Michigan Regional Airport\",\"Benton Harbor\",\"United States\",\"BEH\",\\N,42.1285833,-86.4285,643,-5,\"A\",\"America/New_York\"\n", + "6903,\"Waukesha County Airport\",\"Waukesha\",\"United States\",\"UES\",\\N,43.0410278,-88.2370556,911,-6,\"A\",\"America/Chicago\"\n", + "6902,\"Ronda\",\"Ronda\",\"Spain\",\"\",\\N,36.73333,-5.166667,1000,1,\"U\",\"Europe/Madrid\"\n", + "6901,\"Thurles\",\"Thurles\",\"Ireland\",\"\",\\N,52.67888,-7.814369,500,0,\"U\",\"Europe/Dublin\"\n", + "6900,\"Limerick\",\"Limerick\",\"Ireland\",\"\",\\N,52.659,-8.624,500,0,\"U\",\"Europe/Dublin\"\n", + "6899,\"Nowra Airport\",\"Nowra\",\"Australia\",\"NOA\",\"YSNW\",-34.9489,150.537,400,10,\"O\",\"Australia/Sydney\"\n", + "6898,\"RAAF Williams Laverton Base\",\"Laverton\",\"Australia\",\"\",\"YLVT\",-37.8636,144.746,18,10,\"O\",\"Australia/Hobart\"\n", + "6897,\"Tindal Airport\",\"Katherine\",\"Australia\",\"KTR\",\"YPTN\",-14.5211,132.378,443,9.5,\"O\",\"Australia/Darwin\"\n", + "6896,\"Amberley\",\"Amberley\",\"Australia\",\"\",\"YAMB\",-27.64,152.712,91,10,\"O\",\"Australia/Brisbane\"\n", + "6895,\"Geiranger\",\"Geiranger\",\"Norway\",\"\",\"GEIR\",62.1,7.2,0,1,\"E\",\"Europe/Oslo\"\n", + "6894,\"Zell am See\",\"Zell am See\",\"Austria\",\"\",\"LOWZ\",47.2933,12.7883,2470,1,\"E\",\"Europe/Vienna\"\n", + "6893,\"Galt Field Airport\",\"Greenwood\",\"United States\",\"10C\",\\N,42.4028889,-88.3751111,875,-6,\"U\",\"America/Chicago\"\n", + "6892,\"Everglades Airpark\",\"Everglades\",\"United States\",\"X01\",\\N,25.8488611,-81.3902778,5,-5,\"U\",\"America/New_York\"\n", + "6795,\"Choibalsan Airport\",\"Choibalsan\",\"Mongolia\",\"COQ\",\"ZMCD\",48.1357,114.646,2457,8,\"U\",\"Asia/Ulaanbaatar\"\n", + "6794,\"Taree Airport\",\"Taree\",\"Australia\",\"TRO\",\"YTRE\",-31.8886,152.514,38,10,\"U\",\"Australia/Sydney\"\n", + "6793,\"Orange Airport\",\"Orange\",\"Australia\",\"OAG\",\"YORG\",-33.3817,149.133,3115,10,\"U\",\"Australia/Sydney\"\n", + "6792,\"Grafton Airport\",\"Grafton\",\"Australia\",\"GFN\",\"YGFN\",-29.7594,153.03,110,10,\"U\",\"Australia/Sydney\"\n", + "6791,\"Marinduque Airport\",\"Gasan\",\"Philippines\",\"MRQ\",\"RPUW\",13.360967,121.825583,32,8,\"N\",\"Asia/Manila\"\n", + "6790,\"Hamadan Airport\",\"Hamadan\",\"Iran\",\"HDM\",\"OIHH\",34.869167,48.5525,5755,3.5,\"E\",\"Asia/Tehran\"\n", + "6789,\"St Augustin Airport\",\"St-Augustin\",\"Canada\",\"YIF\",\"CYIF\",51.2117,-58.6583,20,-4,\"A\",\"America/Blanc-Sablon\"\n", + "6788,\"Vieques Airport\",\"Vieques Island\",\"Puerto Rico\",\"VQS\",\"TJCG\",18.1158,-65.4227,19,-4,\"U\",\"America/Puerto_Rico\"\n", + "6787,\"Kalay Airport\",\"Kalemyo\",\"Myanmar\",\"KMV\",\"VYKL\",23.188811,94.051094,499,6.5,\"U\",\"Asia/Rangoon\"\n", + "6786,\"Terre-de-Haut Airport\",\"Les Saintes\",\"Guadeloupe\",\"LSS\",\"TFFS\",15.8644,-61.5806,46,-4,\"U\",\"America/Guadeloupe\"\n", + "6785,\"Yenisehir Airport\",\"Yenisehir\",\"Turkey\",\"YEI\",\"LTBR\",40.255208,29.562569,764,2,\"E\",\"Europe/Istanbul\"\n", + "6784,\"TekirdaÄŸ Çorlu Airport\",\"Çorlu\",\"Turkey\",\"TEQ\",\"LTBU\",41.13825,27.919094,574,2,\"E\",\"Europe/Istanbul\"\n", + "6783,\"Sinop Airport\",\"Sinop\",\"Turkey\",\"SIC\",\"LTCM\",42.0158,35.0664,20,2,\"E\",\"Europe/Istanbul\"\n", + "6782,\"Mus Airport\",\"Mus\",\"Turkey\",\"MSR\",\"LTCK\",38.747769,41.661236,4157,2,\"E\",\"Europe/Istanbul\"\n", + "6781,\"Canakkale Airport\",\"Canakkale\",\"Turkey\",\"CKZ\",\"LTBH\",40.137722,26.426777,23,2,\"E\",\"Europe/Istanbul\"\n", + "6780,\"Anadolu Airport\",\"Eskissehir\",\"Turkey\",\"AOE\",\"LTBY\",39.809858,30.519378,2588,2,\"E\",\"Europe/Istanbul\"\n", + "6779,\"Katima Mulilo Airport\",\"Mpacha\",\"Namibia\",\"MPA\",\"FYKM\",-17.6344,24.1767,3144,1,\"S\",\"Africa/Windhoek\"\n", + "6778,\"Walvis Bay Airport\",\"Walvis Bay\",\"Namibia\",\"WVB\",\"FYWB\",-22.9799,14.6453,299,1,\"S\",\"Africa/Windhoek\"\n", + "6777,\"Capitan Corbeta C A Curbelo International Airport\",\"Punta del Este\",\"Uruguay\",\"PDP\",\"SULS\",-34.855139,-55.094278,95,-3,\"S\",\"America/Montevideo\"\n", + "6776,\"Sialkot Airport\",\"Sialkot\",\"Pakistan\",\"SKT\",\"OPST\",32.5356,74.3639,810,5,\"N\",\"Asia/Karachi\"\n", + "6775,\"Bonaventure Airport\",\"Bonaventure\",\"Canada\",\"YVB\",\"CYVB\",48.0711,-65.4603,123,-5,\"A\",\"America/Toronto\"\n", + "6774,\"Brus Laguna Airport\",\"Brus Laguna\",\"Honduras\",\"BHG\",\"MHBL\",15.7631,-84.5436,2,-6,\"U\",\"America/Tegucigalpa\"\n", + "6773,\"Samburu South Airport\",\"Samburu South\",\"Kenya\",\"UAS\",\"HKSB\",0.530583,37.5342,3295,3,\"U\",\"Africa/Nairobi\"\n", + "6772,\"Chaoyang Airport\",\"Chaoyang\",\"China\",\"CHG\",\"ZYCY\",41.5381,120.435,0,8,\"U\",\"Asia/Chongqing\"\n", + "6771,\"Walaha Airport\",\"Walaha\",\"Vanuatu\",\"WLH\",\"NVSW\",-15.412,167.691,151,11,\"U\",\"Pacific/Efate\"\n", + "6770,\"Tanjung Manis Airport\",\"Tanjung Manis\",\"Malaysia\",\"TGC\",\"WBTM\",2.17784,111.202,15,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "6769,\"Long Akah Airport\",\"Long Akah\",\"Malaysia\",\"LKH\",\"WBGL\",3.3,114.783,289,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "6768,\"Geneina Airport\",\"Geneina\",\"Sudan\",\"EGN\",\"HSGN\",13.4817,22.4672,2650,3,\"U\",\"Africa/Khartoum\"\n", + "6767,\"Togiak Airport\",\"Togiak Village\",\"United States\",\"TOG\",\"PATG\",59.0528,-160.397,21,-9,\"A\",\"America/Anchorage\"\n", + "6766,\"Port Heiden Airport\",\"Port Heiden\",\"United States\",\"PTH\",\"PAPH\",56.9591,-158.633,95,-9,\"A\",\"America/Anchorage\"\n", + "6765,\"King Cove Airport\",\"King Cove\",\"United States\",\"KVC\",\"PAVC\",55.1163,-162.266,155,-9,\"A\",\"America/Anchorage\"\n", + "6764,\"New Stuyahok Airport\",\"New Stuyahok\",\"United States\",\"KNW\",\"PANW\",59.4499,-157.328,302,-9,\"A\",\"America/Anchorage\"\n", + "6763,\"Igiugig Airport\",\"Igiugig\",\"United States\",\"IGG\",\"PAIG\",59.324,-155.902,90,-9,\"A\",\"America/Anchorage\"\n", + "6762,\"Shimla Airport\",\"Shimla\",\"India\",\"SLV\",\"VISM\",31.081803,77.067967,5072,5.5,\"N\",\"Asia/Calcutta\"\n", + "6761,\"Nanded Airport\",\"Nanded\",\"India\",\"NDC\",\"VAND\",19.1833,77.3167,1250,5.5,\"N\",\"Asia/Calcutta\"\n", + "6760,\"Kangra Airport\",\"Kangra\",\"India\",\"DHM\",\"VIGG\",32.1651,76.2634,2525,5.5,\"N\",\"Asia/Calcutta\"\n", + "6759,\"Shahre Kord Airport\",\"Shahre Kord\",\"Iran\",\"CQD\",\"OIFS\",32.2972,50.8422,6723,3.5,\"E\",\"Asia/Tehran\"\n", + "6758,\"Sege Airport\",\"Sege\",\"Solomon Islands\",\"EGM\",\"AGGS\",-8.57889,157.876,0,11,\"U\",\"Pacific/Guadalcanal\"\n", + "6757,\"Burgos Airport\",\"Burgos\",\"Spain\",\"RGS\",\"LEBG\",42.357628,-3.620764,2945,1,\"E\",\"Europe/Madrid\"\n", + "6756,\"Leon Airport\",\"Leon\",\"Spain\",\"LEN\",\"LELN\",42.589,-5.655556,3006,1,\"E\",\"Europe/Madrid\"\n", + "6755,\"Deering Airport\",\"Deering\",\"United States\",\"DRG\",\"PADE\",66.0696,-162.766,21,-9,\"A\",\"America/Anchorage\"\n", + "6754,\"Sugraly Airport\",\"Zarafshan\",\"Uzbekistan\",\"AFS\",\"UTSN\",41.6139,64.2332,1396,5,\"U\",\"Asia/Samarkand\"\n", + "6753,\"Mardin Airport\",\"Mardin\",\"Turkey\",\"MQM\",\"LTCR\",37.2233,40.6317,1729,2,\"E\",\"Europe/Istanbul\"\n", + "6752,\"Tacheng Airport\",\"Tacheng\",\"China\",\"TCG\",\"ZWTC\",46.6725,83.3408,0,8,\"U\",\"Asia/Chongqing\"\n", + "6751,\"Tocache Airport\",\"Tocache\",\"Peru\",\"\",\"SPCH\",-8.183,-76.517,1500,-5,\"U\",\"America/Lima\"\n", + "6750,\"Nueva Loja Airport\",\"Lago Agrio\",\"Ecuador\",\"LGQ\",\"SELA\",0.093056,-76.8675,980,-5,\"U\",\"America/Guayaquil\"\n", + "6749,\"Parsabade Moghan Airport\",\"Parsabad\",\"Iran\",\"PFQ\",\"OITP\",39.603606,47.8815,251,3.5,\"E\",\"Asia/Tehran\"\n", + "6748,\"Ilam Airport\",\"Ilam\",\"Iran\",\"IIL\",\"OICI\",33.586606,46.404842,4404,3.5,\"E\",\"Asia/Tehran\"\n", + "6747,\"Gorgan Airport\",\"Gorgan\",\"Iran\",\"GBT\",\"OING\",36.909381,54.401339,-24,3.5,\"E\",\"Asia/Tehran\"\n", + "6746,\"Sahand Airport\",\"Maragheh\",\"Iran\",\"ACP\",\"OITM\",37.348017,46.127903,4396,3.5,\"E\",\"Asia/Tehran\"\n", + "6745,\"Romblon Airport\",\"Romblon\",\"Philippines\",\"TBH\",\"RPVU\",12.311,122.085,10,8,\"N\",\"Asia/Manila\"\n", + "6744,\"Changzhoudao Airport\",\"Wuzhou\",\"China\",\"WUZ\",\"ZGWZ\",23.4567,111.248,89,8,\"U\",\"Asia/Chongqing\"\n", + "6743,\"Hami Airport\",\"Hami\",\"China\",\"HMI\",\"ZWHM\",42.8414,93.6692,0,8,\"U\",\"Asia/Chongqing\"\n", + "6742,\"Sand Point Airport\",\"Sand Point\",\"United States\",\"SDP\",\"PASD\",55.315,-160.523,21,-9,\"A\",\"America/Anchorage\"\n", + "6741,\"Gorakhpur Airport\",\"Gorakhpur\",\"India\",\"GOP\",\"VEGK\",26.739708,83.449708,259,5.5,\"N\",\"Asia/Calcutta\"\n", + "6740,\"Araracuara Airport\",\"Araracuara\",\"Colombia\",\"ACR\",\"SKAC\",-0.58,-72.41,1250,-5,\"U\",\"America/Bogota\"\n", + "6739,\"Hagerstown Regional Richard A Henson Field\",\"Hagerstown\",\"United States\",\"HGR\",\"KHGR\",39.7079,-77.7295,704,-5,\"A\",\"America/New_York\"\n", + "6738,\"Bella Coola Airport\",\"Bella Coola\",\"Canada\",\"QBC\",\"CYBD\",52.3875,-126.596,117,-8,\"A\",\"America/Vancouver\"\n", + "6737,\"Pajala Airport\",\"Pajala\",\"Sweden\",\"PJA\",\"ESUP\",67.2456,23.0689,542,1,\"E\",\"Europe/Stockholm\"\n", + "6736,\"Port Clarence Coast Guard Station\",\"Port Clarence\",\"United States\",\"KPC\",\"PAPC\",65.2537,-166.859,10,-9,\"A\",\"America/Anchorage\"\n", + "6735,\"Governador Valadares Airport\",\"Governador Valadares\",\"Brazil\",\"GVR\",\"SBGV\",-18.8952,-41.9822,561,-3,\"S\",\"America/Sao_Paulo\"\n", + "6734,\"Kirovsk-Apatity Airport\",\"Apatity\",\"Russia\",\"KVK\",\"ULMK\",67.4633,33.5883,515,4,\"N\",\"Europe/Moscow\"\n", + "6733,\"Cauayan Airport\",\"Cauayan\",\"Philippines\",\"CYZ\",\"RPUY\",16.929861,121.753036,200,8,\"N\",\"Asia/Manila\"\n", + "6732,\"Tambor Airport\",\"Nicoya\",\"Costa Rica\",\"TMU\",\"MRTR\",9.73852,-85.0138,33,-6,\"U\",\"America/Costa_Rica\"\n", + "6731,\"Arenal Airport\",\"La Fortuna/San Carlos\",\"Costa Rica\",\"FON\",\"MRAN\",10.478,-84.6345,342,-6,\"U\",\"America/Costa_Rica\"\n", + "6730,\"Imo Airport\",\"Imo\",\"Nigeria\",\"QOW\",\"DNIM\",5.42706,7.20603,373,1,\"N\",\"Africa/Lagos\"\n", + "6729,\"Arctic Village Airport\",\"Arctic Village\",\"United States\",\"ARC\",\"PARC\",68.1147,-145.579,2092,-9,\"A\",\"America/Anchorage\"\n", + "6728,\"Tasiujaq Airport\",\"Tasiujaq\",\"Canada\",\"YTQ\",\"CYTQ\",58.6678,-69.9558,122,-5,\"A\",\"America/Toronto\"\n", + "6727,\"Puvirnituq Airport\",\"Puvirnituq\",\"Canada\",\"YPX\",\"CYPX\",60.0506,-77.2869,74,-5,\"A\",\"America/Toronto\"\n", + "6726,\"Ormoc Airport\",\"Ormoc City\",\"Philippines\",\"OMC\",\"RPVO\",11.057997,124.565322,83,8,\"N\",\"Asia/Manila\"\n", + "6725,\"Noatak Airport\",\"Noatak\",\"United States\",\"WTK\",\"PAWN\",67.5661,-162.975,88,-9,\"A\",\"America/Anchorage\"\n", + "6724,\"Savoonga Airport\",\"Savoonga\",\"United States\",\"SVA\",\"PASA\",63.6864,-170.493,53,-9,\"A\",\"America/Anchorage\"\n", + "6723,\"Shishmaref Airport\",\"Shishmaref\",\"United States\",\"SHH\",\"PASH\",66.2496,-166.089,12,-9,\"A\",\"America/Anchorage\"\n", + "6722,\"Ruby Airport\",\"Ruby\",\"United States\",\"RBY\",\"PARY\",64.7272,-155.47,653,-9,\"A\",\"America/Anchorage\"\n", + "6721,\"Point Hope Airport\",\"Point Hope\",\"United States\",\"PHO\",\"PPHO\",68.3488,-166.799,12,-9,\"A\",\"America/Anchorage\"\n", + "6720,\"Mekoryuk Airport\",\"Mekoryuk\",\"United States\",\"MYU\",\"PAMY\",60.3714,-166.271,48,-9,\"A\",\"America/Anchorage\"\n", + "6719,\"Kivalina Airport\",\"Kivalina\",\"United States\",\"KVL\",\"PAVL\",67.7362,-164.563,13,-9,\"A\",\"America/Anchorage\"\n", + "6718,\"St Marys Airport\",\"St Mary's\",\"United States\",\"KSM\",\"PASM\",62.0605,-163.302,311,-9,\"A\",\"America/Anchorage\"\n", + "6717,\"Kaltag Airport\",\"Kaltag\",\"United States\",\"KAL\",\"PAKV\",64.3191,-158.741,187,-9,\"A\",\"America/Anchorage\"\n", + "6716,\"Hooper Bay Airport\",\"Hooper Bay\",\"United States\",\"HPB\",\"PAHP\",61.5239,-166.147,7,-9,\"A\",\"America/Anchorage\"\n", + "6715,\"Gambell Airport\",\"Gambell\",\"United States\",\"GAM\",\"PAGM\",63.7668,-171.733,27,-9,\"A\",\"America/Anchorage\"\n", + "6714,\"Atqasuk Edward Burnell Sr Memorial Airport\",\"Atqasuk\",\"United States\",\"ATK\",\"PATQ\",70.4673,-157.436,96,-9,\"A\",\"America/Anchorage\"\n", + "6713,\"Anvik Airport\",\"Anvik\",\"United States\",\"ANV\",\"PANV\",62.6467,-160.191,309,-9,\"A\",\"America/Anchorage\"\n", + "6712,\"Anaktuvuk Pass Airport\",\"Anaktuvuk Pass\",\"United States\",\"AKP\",\"PAKP\",68.1336,-151.743,2103,-9,\"A\",\"America/Anchorage\"\n", + "6946,\"Altay Airport\",\"Altay\",\"China\",\"AAT\",\"ZWAT\",47.866667,88.116667,2491,8,\"U\",\"Asia/Chongqing\"\n", + "6947,\"Tuzla\",\"Null\",\"Bosnia and Herzegovina\",\"\",\"LQTZ\",44.458656,18.724783,784,1,\"E\",\"Europe/Sarajevo\"\n", + "6948,\"Fort Worth NAS\",\"Dallas\",\"United States\",\"\",\"KNFW\",32.769167,-97.441528,650,-6,\"A\",\"America/Chicago\"\n", + "6949,\"Naypyidaw\",\"Naypyidaw\",\"Burma\",\"ELA\",\"VYEL\",19.6235,96.201028,302,6.5,\"U\",\"Asia/Rangoon\"\n", + "6950,\"Kyauktu\",\"Kyauktu\",\"Burma\",\"\",\"VYXG\",21.406667,94.130278,1345,6.5,\"U\",\"Asia/Rangoon\"\n", + "6951,\"Jan Mayensfield\",\"Jan Mayen\",\"Norway\",\"ZXB\",\"ENJA\",70.961111,-8.575833,33,1,\"E\",\"Arctic/Longyearbyen\"\n", + "6952,\"Bokepyin\",\"Bokepyin\",\"Burma\",\"\",\"VYBP\",11.267,98.767,100,6.5,\"U\",\"Asia/Rangoon\"\n", + "6953,\"Huanghua Intl\",\"Changsha\",\"China\",\"HHA\",\\N,28.189158,113.219633,217,8,\"U\",\"Asia/Chongqing\"\n", + "6954,\"Manzhouli\",\"Manzhouli\",\"China\",\"NZH\",\\N,49.566667,117.329444,0,8,\"U\",\"Asia/Chongqing\"\n", + "6955,\"Wuhai\",\"Wuhai\",\"China\",\"WUA\",\"ZBUH\",39.794444,106.799444,0,8,\"U\",\"Asia/Chongqing\"\n", + "6956,\"Gary Chicago International Airport\",\"Gary\",\"United States\",\"GYY\",\"KGYY\",41.6163,-87.4128,591,-6,\"A\",\"America/Chicago\"\n", + "6957,\"Brainerd Lakes Rgnl\",\"Brainerd\",\"United States\",\"BRD\",\"KBRD\",46.398308,-94.138078,1226,-6,\"U\",\"America/Chicago\"\n", + "6958,\"Greenbrier Valley Airport\",\"Lewisburg\",\"United States\",\"LWB\",\"KLWB\",37.858333,-80.399444,2302,-5,\"U\",\"America/New_York\"\n", + "6959,\"Pitt-Greenville Airport\",\"Greenville\",\"United States\",\"PGV\",\"KPGV\",35.635278,-77.385278,27,-5,\"A\",\"America/New_York\"\n", + "6960,\"Chefornak Airport\",\"Chefornak\",\"United States\",\"CYF\",\"PACK\",60.149167,-164.285556,40,-9,\"A\",\"America/Anchorage\"\n", + "6961,\"Oxnard - Ventura County\",\"Oxnard\",\"United States\",\"OXR\",\"KOXR\",34.200833,-119.207222,15,-8,\"A\",\"America/Los_Angeles\"\n", + "6962,\"Branson LLC\",\"Branson\",\"United States\",\"BKG\",\"KBBG\",36.531994,-93.200556,1302,-6,\"A\",\"America/Chicago\"\n", + "6963,\"Tongren\",\"Tongren\",\"China\",\"TEN\",\"ZUTR\",27.884,109.31,0,8,\"U\",\"Asia/Chongqing\"\n", + "6964,\"Jinggangshan\",\"Jian\",\"China\",\"KNC\",\"ZSJA\",26.8575,114.737222,0,8,\"U\",\"Asia/Chongqing\"\n", + "6965,\"Penn Station\",\"Baltimore\",\"United States\",\"ZBP\",\\N,39.307222,-76.615556,66,-5,\"A\",\"America/New_York\"\n", + "6966,\"Penn Station\",\"New York\",\"United States\",\"ZYP\",\\N,40.7505,-73.9935,35,-5,\"A\",\"America/New_York\"\n", + "6967,\"Niau\",\"Niau\",\"French Polynesia\",\"NIU\",\"NTKN\",-16.119037,-146.368406,49,-10,\"U\",\"Pacific/Tahiti\"\n", + "6968,\"Stratton ANGB - Schenectady County Airpor\",\"Scotia NY\",\"United States\",\"SCH\",\"KSCH\",42.85245555,-73.928866666,378,-5,\"A\",\"America/New_York\"\n", + "6969,\"Begishevo\",\"Nizhnekamsk\",\"Russia\",\"NBC\",\"UWKE\",55.34,52.06,50,4,\"N\",\"Europe/Moscow\"\n", + "6970,\"Bogovarovo\",\"Bogovarovo\",\"Russia\",\"\",\\N,58.8535,47.0114,100,4,\"N\",\"Europe/Moscow\"\n", + "6971,\"Summit Camp\",\"Greenland Ice Cap\",\"Greenland\",\"\",\"GSUM\",72.5795841916667,-38.4591850305556,10552,0,\"N\",\"America/Danmarkshavn\"\n", + "6972,\"Warri Airport\",\"Osubi\",\"Nigeria\",\"QRW\",\"DNSU\",5.31,5.45,50,1,\"U\",\"Africa/Lagos\"\n", + "6973,\"Volkel\",\"Volkel\",\"Netherlands\",\"\",\"EHVK\",51.656389,5.708611,72,1,\"E\",\"Europe/Amsterdam\"\n", + "6974,\"Sayak Airport\",\"Siargao\",\"Philippines\",\"\",\"RPNS\",9.859097,126.014017,10,8,\"N\",\"Asia/Manila\"\n", + "6975,\"Langeoog Airport\",\"Langeoog\",\"Germany\",\"LGO\",\"EDWL\",53.7425,7.49778,7,1,\"E\",\"Europe/Berlin\"\n", + "6976,\"Fane Airport\",\"Fane\",\"Papua New Guinea\",\"FNE\",\\N,-8.55,147.083,0,10,\"U\",\"Pacific/Port_Moresby\"\n", + "6977,\"Itokama Airport\",\"Itokama\",\"Papua New Guinea\",\"ITK\",\\N,-9.2,148.25,0,10,\"U\",\"Pacific/Port_Moresby\"\n", + "6978,\"Ononge Airport\",\"Ononge\",\"Papua New Guinea\",\"ONB\",\\N,-8.583,147.2,0,10,\"U\",\"Pacific/Port_Moresby\"\n", + "6979,\"Tapini Airport\",\"Tapini\",\"Papua New Guinea\",\"TPI\",\\N,-8.35,146.983,0,10,\"U\",\"Pacific/Port_Moresby\"\n", + "6980,\"Wanigela Airport\",\"Wanigela\",\"Papua New Guinea\",\"AGL\",\\N,-9.333,149.15,0,10,\"U\",\"Pacific/Port_Moresby\"\n", + "6981,\"Woitape Airport\",\"Woitape\",\"Papua New Guinea\",\"WTP\",\\N,-8.533,147.25,0,10,\"U\",\"Pacific/Port_Moresby\"\n", + "6982,\"Awaba Airport\",\"Awaba\",\"Papua New Guinea\",\"AWB\",\\N,-8.014,142.75,0,10,\"U\",\"Pacific/Port_Moresby\"\n", + "6983,\"Telefomin Airport\",\"Telefomin\",\"Papua New Guinea\",\"TFM\",\\N,-5.117,141.633,0,10,\"U\",\"Pacific/Port_Moresby\"\n", + "6984,\"Kappelen\",\"Biel\",\"Switzerland\",\"\",\"LSZP\",47.089167,7.29,1437,1,\"E\",\"Europe/Zurich\"\n", + "6985,\"Nelspruit Airport\",\"Nelspruit\",\"South Africa\",\"NLP\",\"FANS\",-25.5,30.9138,2875,2,\"U\",\"Africa/Johannesburg\"\n", + "6986,\"Cherkassy\",\"Cherkassy\",\"Ukraine\",\"CKC\",\"UKKE\",49.416666,32.1333,114,2,\"E\",\"Europe/Kiev\"\n", + "6987,\"Gotska Sandon Heliport\",\"Gotland\",\"Sweden\",\"\",\\N,58.392393,19.193142,0,1,\"E\",\"Europe/Stockholm\"\n", + "6988,\"Lauterhorn\",\"Faro\",\"Sweden\",\"\",\\N,57.9521,19.0812,0,1,\"E\",\"Europe/Stockholm\"\n", + "6989,\"St. Augustine Airport\",\"St. Augustine Airport\",\"United States\",\"UST\",\"KSGJ\",29.959167,-81.339722,10,-5,\"A\",\"America/New_York\"\n", + "6990,\"Mykolaiv International Airport\",\"Nikolayev\",\"Ukraine\",\"NLV\",\"UKON\",47.0579,31.9198,184,2,\"E\",\"Europe/Kiev\"\n", + "6991,\"Ramechhap\",\"Ramechhap\",\"Nepal\",\"RHP\",\"VNRC\",27.394005,86.06144,1555,5.75,\"U\",\"Asia/Katmandu\"\n", + "6992,\"Charles M Schulz Sonoma Co\",\"Santa Rosa\",\"United States\",\"STS\",\"KSTS\",38.508978,-122.81288,125,-8,\"A\",\"America/Los_Angeles\"\n", + "6993,\"Kissimmee Gateway Airport\",\"Kissimmee\",\"United States\",\"ISM\",\"KISM\",28.289806,-81.437083,82,-5,\"A\",\"America/New_York\"\n", + "6994,\"Lake City Municipal Airport\",\"Lake City\",\"United States\",\"LCQ\",\"KLCQ\",30.181944,-82.576944,201,-5,\"A\",\"America/New_York\"\n", + "6995,\"DeLand Municipal Airport\",\"DeLand\",\"United States\",\"\",\"KDED\",29.066944,-81.283889,79,-5,\"A\",\"America/New_York\"\n", + "6996,\"Haller Airpark Airport\",\"Green Cove Springs\",\"United States\",\"\",\"7FL4\",29.903021,-81.685923,75,-5,\"A\",\"America/New_York\"\n", + "6997,\"Santa Lucia PNP Airstrip\",\"Santa Lucia\",\"Peru\",\"\",\"SLPA\",-8.337041,-76.385733,50,-5,\"U\",\"America/Lima\"\n", + "6998,\"Logan-Cache\",\"Logan\",\"United States\",\"LGU\",\"KLGU\",41.791,-111.852,4457,-7,\"A\",\"America/Denver\"\n", + "6999,\"Brigham City\",\"Brigham City\",\"United States\",\"BMC\",\"KBMC\",41.552,-112.062,4229,-7,\"A\",\"America/Denver\"\n", + "7000,\"Malad City\",\"Malad City\",\"United States\",\"MLD\",\"KMLD\",42.17,-112.289,4503,-7,\"A\",\"America/Denver\"\n", + "7001,\"Aspen Pitkin County Sardy Field\",\"Aspen\",\"United States\",\"ASE\",\"KASE\",39.2232,-106.869,7820,-7,\"A\",\"America/Denver\"\n", + "7002,\"Hilton Head\",\"Hilton Head\",\"United States\",\"HHH\",\"KHHH\",32.216,-80.752,10,-5,\"U\",\"America/New_York\"\n", + "7003,\"Barataevka\",\"Ulyanovsk\",\"Russia\",\"ULV\",\"UWLL\",54.268299,48.2267,463,4,\"N\",\"Europe/Moscow\"\n", + "7004,\"Horog\",\"Horog\",\"Tajikistan\",\"\",\"UTOD\",37.5,71.5,2000,4.5,\"U\",\"Asia/Kabul\"\n", + "7005,\"Sabi Sabi Airport\",\"Sabi Sabi\",\"South Africa\",\"GSS\",\\N,-24.9415,31.4446,1276,2,\"U\",\"Africa/Johannesburg\"\n", + "7006,\"Philadelphia 30th St Station\",\"Philadelphia\",\"United States\",\"ZFV\",\\N,39.9557,-75.182,0,-5,\"A\",\"America/New_York\"\n", + "7007,\"KBWD\",\"Brownwood\",\"United States\",\"BWD\",\\N,31.7936111,-98.9565,1387,-6,\"A\",\"America/Chicago\"\n", + "7008,\"Mexia - Limestone County Airport\",\"Mexia\",\"United States\",\"LXY\",\\N,31.6411783,-96.5144594,544,-6,\"A\",\"America/Chicago\"\n", + "7009,\"Kerrville Municipal Airport\",\"Kerrville\",\"United States\",\"ERV\",\"KERV\",29.9766667,-99.0854722,1617,-6,\"A\",\"America/Chicago\"\n", + "7010,\"Birrfeld\",\"Birrfeld\",\"Switzerland\",\"\",\"LSZF\",47.4436,8.23361,1300,1,\"E\",\"Europe/Zurich\"\n", + "7011,\"Sussex Co\",\"Georgetown\",\"United States\",\"GED\",\"KGED\",38.689194,-75.358889,50,-5,\"A\",\"America/New_York\"\n", + "7012,\"Seal Cove Seaplane Base\",\"Prince Rupert\",\"Canada\",\"ZSW\",\"CZSW\",54.3333,-130.283,0,-8,\"A\",\"America/Vancouver\"\n", + "7013,\"Great Bend Municipal\",\"Great Bend\",\"United States\",\"GBN\",\"KGBD\",38.344167,-98.859167,1887,-6,\"A\",\"America/Chicago\"\n", + "7014,\"Hays Regional Airport\",\"Hays\",\"United States\",\"HYS\",\"KHYS\",38.8422,-99.2732,1998,-6,\"A\",\"America/Chicago\"\n", + "7015,\"Spirit Of St Louis\",\"Null\",\"United States\",\"SUS\",\"KSUS\",38.662119,-90.652044,463,-6,\"A\",\"America/Chicago\"\n", + "7016,\"Ely Municipal\",\"Ely\",\"United States\",\"LYU\",\"KELO\",47.824444,-91.830833,1456,-6,\"A\",\"America/Chicago\"\n", + "7017,\"Grand Rapids Itasca County\",\"Grand Rapids MN\",\"United States\",\"GPZ\",\"KGPZ\",47.211111,-93.509722,413,-6,\"A\",\"America/Chicago\"\n", + "7018,\"Thief River Falls\",\"Thief River Falls\",\"United States\",\"TVF\",\"KTVF\",48.065556,-96.185,1116,-6,\"A\",\"America/Chicago\"\n", + "7019,\"Eagle River\",\"Eagle River\",\"United States\",\"EGV\",\"KEGV\",45.932333,-89.268283,1642,-6,\"A\",\"America/Chicago\"\n", + "7020,\"Lakeland\",\"Minocqua - Woodruff\",\"United States\",\"ARV\",\"KARV\",45.927778,-89.730833,1629,-6,\"A\",\"America/Chicago\"\n", + "7021,\"Ankeny Regl Airport\",\"Ankeny\",\"United States\",\"IKV\",\"KIKV\",41.691389,-93.566389,910,-6,\"A\",\"America/Chicago\"\n", + "7022,\"Berens River\",\"Berens River\",\"Canada\",\"YBV\",\"CYBV\",52.358889,-97.018333,728,-6,\"A\",\"America/Winnipeg\"\n", + "7023,\"Corpus Christi NAS\",\"Corpus Christi\",\"United States\",\"NGP\",\"KNGP\",27.692701,-97.290376,18,-6,\"A\",\"America/Chicago\"\n", + "7024,\"Seaplane Base\",\"Port Simpson\",\"Canada\",\"YPI\",\"CYPI\",54.566667,-130.433333,0,-8,\"A\",\"America/Vancouver\"\n", + "7025,\"Avalon\",\"Catalina Island\",\"United States\",\"AVX\",\"KAVX\",33.405,-118.415833,1602,-8,\"A\",\"America/Los_Angeles\"\n", + "7026,\"Mojave\",\"Mojave\",\"United States\",\"MHV\",\"KMHV\",35.059364,-118.151856,2791,-8,\"A\",\"America/Los_Angeles\"\n", + "7027,\"Air Base\",\"Interlaken\",\"Switzerland\",\"ZIN\",\"LSMI\",46.6766,7.87908,1893,1,\"E\",\"Europe/Zurich\"\n", + "7028,\"Kenmore Air Harbor Inc Seaplane Base\",\"Kenmore\",\"United States\",\"KEH\",\\N,47.7548,-122.259,14,-8,\"A\",\"America/Los_Angeles\"\n", + "7029,\"Municipal\",\"Corozal\",\"Belize\",\"CZH\",\\N,18.3822,-88.4119,40,-6,\"N\",\"America/Belize\"\n", + "7030,\"Inisheer\",\"Inisheer\",\"Ireland\",\"INQ\",\"EIIR\",53.0647,-9.5109,40,0,\"E\",\"Europe/Dublin\"\n", + "7031,\"Winterlandeplatz\",\"Maennlichen\",\"Switzerland\",\"\",\\N,46.610833,7.9425,7297,1,\"E\",\"Europe/Zurich\"\n", + "7032,\"Paketzentrum\",\"Ostermundigen\",\"Switzerland\",\"\",\\N,46.963,7.482,1854,1,\"E\",\"Europe/Zurich\"\n", + "7033,\"Strezhevoy\",\"Strezhevoy\",\"Russia\",\"SWT\",\"UNSS\",60.716667,77.65,164,7,\"N\",\"Asia/Omsk\"\n", + "7034,\"Cashel\",\"Cashel\",\"Ireland\",\"\",\\N,52.5158333,-7.8855556,440,0,\"U\",\"Europe/Dublin\"\n", + "7035,\"Hutchinson Municipal Airport\",\"Hutchinson\",\"United States\",\"HUT\",\"KHUT\",38.0655,-97.8606,1543,-6,\"A\",\"America/Chicago\"\n", + "7036,\"Bagram AFB\",\"Kabul\",\"Afghanistan\",\"BPM\",\"OAIX\",34.5646,69.1554,4895,4.5,\"U\",\"Asia/Kabul\"\n", + "7037,\"Al Kharj AFB\",\"Al Kharj\",\"Saudi Arabia\",\"\",\"OEPS\",24.0346,47.345,1651,3,\"N\",\"Asia/Riyadh\"\n", + "7038,\"Eagle County Airport\",\"Eagle\",\"United States\",\"EGA\",\\N,39.6427611,-106.9159347,6548,-7,\"U\",\"America/Denver\"\n", + "7039,\"Oak Lawn Train Station\",\"Oak Lawn\",\"United States\",\"\",\\N,41.7198242969588,-87.7488327026367,500,-6,\"U\",\"America/Chicago\"\n", + "7040,\"Wrigleyville\",\"Chicago\",\"United States\",\"\",\\N,41.948958067066,-87.6587533950806,500,-6,\"U\",\"America/Chicago\"\n", + "7041,\"Gelendzik\",\"Gelendzik\",\"Russia\",\"GDZ\",\\N,44.566666666667,38.016666666667,50,4,\"N\",\"Europe/Moscow\"\n", + "7042,\"Rosecrans Mem\",\"Rosecrans\",\"United States\",\"STJ\",\"KSTJ\",39.771944,-94.909706,826,-6,\"A\",\"America/Chicago\"\n", + "7043,\"Hartford Union Station\",\"Hartford\",\"United States\",\"ZRT\",\\N,41.76888,-72.6815,0,-5,\"A\",\"America/New_York\"\n", + "7044,\"Stamford Amtrak Station\",\"Stamford\",\"United States\",\"ZTF\",\\N,41.046937,-73.541493,0,-5,\"A\",\"America/New_York\"\n", + "7045,\"Newark Penn Station\",\"Newark\",\"United States\",\"ZRP\",\\N,40.734722,-74.164167,0,-5,\"A\",\"America/New_York\"\n", + "7046,\"Papa Airport\",\"Papa\",\"Hungary\",\"\",\"LHPA\",47.3636,17.5008,466,1,\"E\",\"Europe/Budapest\"\n", + "7047,\"Cuxhaven Airport\",\"Cuxhaven\",\"Germany\",\"NDZ\",\"KNDZ\",53.768612,8.644722,75,1,\"E\",\"Europe/Berlin\"\n", + "7048,\"Volk Fld\",\"Camp Douglas\",\"United States\",\"VOK\",\"KVOK\",43.938956,-90.253433,912,-6,\"A\",\"America/Chicago\"\n", + "7049,\"BFT County Airport\",\"Beauford\",\"United States\",\"BFT\",\"KBFT\",32.41083,-80.635,500,-5,\"A\",\"America/New_York\"\n", + "7050,\"Adana-Incirlik Airbase\",\"Adana\",\"Turkey\",\"UAB\",\"KUAB\",37.00028,35.41833,500,2,\"E\",\"Europe/Istanbul\"\n", + "7051,\"Gunnison - Crested Butte\",\"Gunnison\",\"United States\",\"GUC\",\"KGUC\",38.533889,-106.933056,7678,-7,\"A\",\"America/Denver\"\n", + "7052,\"Xi\\\\'An Xiguan\",\"Xi\\\\'AN\",\"China\",\"SIA\",\"ZLSN\",34.3767,109.12,0,8,\"U\",\"Asia/Chongqing\"\n", + "7053,\"Zamperini Field Airport\",\"Torrance\",\"United States\",\"TOA\",\"KTOA\",33.803392,-118.339611,101,-8,\"A\",\"America/Los_Angeles\"\n", + "7054,\"Manistee County-Blacker Airport\",\"Manistee\",\"United States\",\"MBL\",\"KMBL\",44.2725,-86.246944,621,-5,\"A\",\"America/New_York\"\n", + "7055,\"Hickam Air Force Base\",\"Honolulu\",\"United States\",\"\",\"PHIK\",21.318681,-157.922427,13,-10,\"N\",\"Pacific/Honolulu\"\n", + "7056,\"Charlotte County-Punta Gorda Airport\",\"Punta Gorda\",\"United States\",\"PGD\",\"KPGD\",26.919722,-81.990556,26,-5,\"A\",\"America/New_York\"\n", + "7057,\"Grand Canyon Heliport\",\"Grand Canyon\",\"United States\",\"JGC\",\\N,35.96666666,-112.13333333,2500,-7,\"A\",\"America/Phoenix\"\n", + "7058,\"Northern Aroostook Regional Airport\",\"Frenchville\",\"United States\",\"WFK\",\"KFVE\",47.285556,-68.312778,988,-5,\"A\",\"America/New_York\"\n", + "7059,\"Chautauqua County-Jamestown\",\"Jamestown\",\"United States\",\"JHW\",\"KJHW\",42.153333,-79.258056,525,-5,\"A\",\"America/New_York\"\n", + "7060,\"Riviere Rouge - Mont-Tremblant International Inc. Airport\",\"Mont-Tremblant\",\"Canada\",\"YTM\",\"CYFJ\",46.409444,-74.78,827,-5,\"A\",\"America/Toronto\"\n", + "7061,\"Lake Cumberland Regional Airport\",\"Somerset\",\"United States\",\"SME\",\"KSME\",37.053611,-84.615556,927,-5,\"A\",\"America/New_York\"\n", + "7062,\"Shenandoah Valley Regional Airport\",\"Weyers Cave\",\"United States\",\"SHD\",\"KSHD\",38.263889,-78.896389,1201,-5,\"A\",\"America/New_York\"\n", + "7063,\"Devils Lake Regional Airport\",\"Devils Lake\",\"United States\",\"DVL\",\"KDVL\",48.114444,-98.908611,1445,-6,\"A\",\"America/Chicago\"\n", + "7064,\"Dickinson Theodore Roosevelt Regional Airport\",\"Dickinson\",\"United States\",\"DIK\",\"KDIK\",46.7975,-102.801944,2592,-7,\"A\",\"America/Denver\"\n", + "7065,\"Sidney-Richland Municipal Airport\",\"Sidney\",\"United States\",\"SDY\",\"KSDY\",47.706944,-104.1925,1984,-7,\"A\",\"America/Denver\"\n", + "7066,\"Chadron Municipal Airport\",\"Chadron\",\"United States\",\"CDR\",\"KCDR\",42.8375,-103.095556,3297,-7,\"A\",\"America/Denver\"\n", + "7067,\"Alliance Municipal Airport\",\"Alliance\",\"United States\",\"AIA\",\"KAIA\",42.053333,-102.803889,3931,-7,\"A\",\"America/Denver\"\n", + "7068,\"McCook Regional Airport\",\"McCook\",\"United States\",\"MCK\",\"KMCK\",40.206389,-100.592222,2583,-6,\"A\",\"America/Chicago\"\n", + "7069,\"Florida Keys Marathon Airport\",\"Marathon\",\"United States\",\"MTH\",\"KMTH\",24.726111,-81.051389,7,-5,\"A\",\"America/New_York\"\n", + "7070,\"Dawson Community Airport\",\"Glendive\",\"United States\",\"GDV\",\"KGDV\",47.138611,-104.807222,749,-7,\"A\",\"America/Denver\"\n", + "7071,\"LM Clayton Airport\",\"Wolf Point\",\"United States\",\"OLF\",\"KOLF\",48.094444,-105.575,1986,-7,\"A\",\"America/Denver\"\n", + "7072,\"Yellowstone Airport\",\"West Yellowstone\",\"United States\",\"WYS\",\"KWYS\",44.688333,-111.1175,6644,-7,\"A\",\"America/Denver\"\n", + "7073,\"San Luis Valley Regional Airport\",\"Alamosa\",\"United States\",\"ALS\",\"KALS\",37.435,-105.866667,7539,-7,\"A\",\"America/Denver\"\n", + "7074,\"Canyonlands Field\",\"Moab\",\"United States\",\"CNY\",\"KCNY\",38.755,-109.754722,4555,-7,\"A\",\"America/Denver\"\n", + "7075,\"Ely Airport\",\"Ely\",\"United States\",\"ELY\",\"KELY\",39.299722,-114.841944,6259,-8,\"A\",\"America/Los_Angeles\"\n", + "7076,\"Vernal Regional Airport\",\"Vernal\",\"United States\",\"VEL\",\"KVEL\",40.440833,-109.51,5278,-7,\"A\",\"America/Denver\"\n", + "7077,\"Sierra Blanca Regional Airport\",\"Ruidoso\",\"United States\",\"SRR\",\"KSRR\",33.46285,-105.534751,6814,-7,\"A\",\"America/Denver\"\n", + "7078,\"Show Low Regional Airport\",\"Show Low\",\"United States\",\"SOW\",\"KSOW\",34.265556,-110.005556,6415,-7,\"A\",\"America/Phoenix\"\n", + "7079,\"McCall Municipal Airport\",\"McCall\",\"United States\",\"MYL\",\"KMYL\",44.889722,-116.101389,5021,-7,\"A\",\"America/Denver\"\n", + "7080,\"Lemhi County Airport\",\"Salmon\",\"United States\",\"SMN\",\"KSMN\",45.123889,-113.881389,4043,-7,\"A\",\"America/Denver\"\n", + "7081,\"Mammoth Yosemite Airport\",\"Mammoth Lakes\",\"United States\",\"MMH\",\"KMMH\",37.624049,-118.837772,7128,-8,\"A\",\"America/Los_Angeles\"\n", + "7082,\"Friday Harbor Airport\",\"Friday Harbor\",\"United States\",\"FRD\",\"KFHR\",48.521944,-123.024444,113,-8,\"A\",\"America/Los_Angeles\"\n", + "7083,\"Orcas Island Airport\",\"Eastsound\",\"United States\",\"ESD\",\"KORS\",48.708056,-122.910556,31,-8,\"A\",\"America/Los_Angeles\"\n", + "7084,\"Anacortes Airport\",\"Anacortes\",\"United States\",\"OTS\",\\N,48.498889,-122.6625,241,-8,\"A\",\"America/Los_Angeles\"\n", + "7085,\"Astoria Regional Airport\",\"Astoria\",\"United States\",\"AST\",\"KAST\",46.157972,-123.878694,15,-8,\"A\",\"America/Los_Angeles\"\n", + "7086,\"Newport Municipal Airport\",\"Newport\",\"United States\",\"ONP\",\"KNOP\",44.580361,-124.057917,160,-8,\"A\",\"America/Los_Angeles\"\n", + "7087,\"Emmonak Airport\",\"Emmonak\",\"United States\",\"EMK\",\"PAEM\",62.786111,-164.490833,13,-9,\"A\",\"America/Anchorage\"\n", + "7088,\"Unalakleet Airport\",\"Unalakleet\",\"United States\",\"UNK\",\"PAUN\",63.888333,-160.798889,21,-9,\"A\",\"America/Anchorage\"\n", + "7089,\"Ugnu-Kuparuk Airport\",\"Kuparuk\",\"United States\",\"UUK\",\"PAKU\",70.330833,-149.5975,67,-9,\"A\",\"America/Anchorage\"\n", + "7090,\"Shageluk Airport\",\"Shageluk\",\"United States\",\"SHX\",\"PAHX\",62.692222,-159.569167,79,-9,\"A\",\"America/Anchorage\"\n", + "7091,\"Chuathbaluk Airport\",\"Chuathbaluk\",\"United States\",\"CHU\",\"PACH\",61.579167,-159.215556,243,-9,\"A\",\"America/Anchorage\"\n", + "7092,\"Nuiqsut Airport\",\"Nuiqsut\",\"United States\",\"NUI\",\"PAQT\",70.21,-151.005556,38,-9,\"A\",\"America/Anchorage\"\n", + "7093,\"Eek Airport\",\"Eek\",\"United States\",\"EEK\",\"PAEE\",60.213611,-162.043889,15,-9,\"A\",\"America/Anchorage\"\n", + "7094,\"Kasigluk Airport\",\"Kasigluk\",\"United States\",\"KUK\",\"PFKA\",60.873333,-162.524444,40,-9,\"A\",\"America/Anchorage\"\n", + "7095,\"Kwethluk Airport\",\"Kwethluk\",\"United States\",\"KWT\",\"PFKW\",60.790278,-161.443611,30,-9,\"A\",\"America/Anchorage\"\n", + "7096,\"Kwigillingok Airport\",\"Kwigillingok\",\"United States\",\"KWK\",\"PAGG\",59.876389,-163.168611,18,-9,\"A\",\"America/Anchorage\"\n", + "7097,\"Marshall Don Hunter Sr. Airport\",\"Marshall\",\"United States\",\"MLL\",\"PADM\",61.8646418,-162.026111,103,-9,\"A\",\"America/Anchorage\"\n", + "7098,\"Russian Mission Airport\",\"Russian Mission\",\"United States\",\"RSH\",\"PARS\",61.775,-161.319444,51,-9,\"A\",\"America/Anchorage\"\n", + "7099,\"Tuntutuliak Airport\",\"Tuntutuliak\",\"United States\",\"WTL\",\\N,60.335278,-162.666944,16,-9,\"A\",\"America/Anchorage\"\n", + "7100,\"Ekwok Airport\",\"Ekwok\",\"United States\",\"KEK\",\\N,59.356944,-157.471111,135,-9,\"A\",\"America/Anchorage\"\n", + "7101,\"Koliganek Airport\",\"Koliganek\",\"United States\",\"KGK\",\"PAJZ\",59.726667,-157.259444,269,-9,\"A\",\"America/Anchorage\"\n", + "7102,\"Levelock Airport\",\"Levelock\",\"United States\",\"KLL\",\\N,59.128056,-156.858611,39,-9,\"A\",\"America/Anchorage\"\n", + "7103,\"Manokotak Airport\",\"Manokotak\",\"United States\",\"KMO\",\"PAMB\",58.990278,-159.05,51,-9,\"A\",\"America/Anchorage\"\n", + "7104,\"Twin Hills Airport\",\"Twin Hills\",\"United States\",\"TWA\",\\N,59.074444,-160.275,82,-9,\"A\",\"America/Anchorage\"\n", + "7105,\"Chalkyitsik Airport\",\"Chalkyitsik\",\"United States\",\"CIK\",\"PACI\",66.645,-143.74,544,-9,\"A\",\"America/Anchorage\"\n", + "7106,\"Eagle Airport\",\"Eagle\",\"United States\",\"EAA\",\"PAEG\",64.778056,-141.149722,908,-9,\"A\",\"America/Anchorage\"\n", + "7107,\"Hughes Airport\",\"Hughes\",\"United States\",\"HUS\",\"PAHU\",66.039167,-154.264722,299,-9,\"A\",\"America/Anchorage\"\n", + "7108,\"Huslia Airport\",\"Huslia\",\"United States\",\"HSL\",\"PAHL\",65.697778,-156.351389,213,-9,\"A\",\"America/Anchorage\"\n", + "7109,\"Livingood Airport\",\"Livingood\",\"United States\",\"LIV\",\\N,65.531111,-148.541111,696,-9,\"A\",\"America/Anchorage\"\n", + "7110,\"Minto Airport\",\"Minto\",\"United States\",\"MNT\",\\N,65.143611,-149.37,460,-9,\"A\",\"America/Anchorage\"\n", + "7111,\"Nulato Airport\",\"Nulato\",\"United States\",\"NUL\",\"PANU\",64.729444,-158.074167,399,-9,\"A\",\"America/Anchorage\"\n", + "7112,\"Rampart Airport\",\"Rampart\",\"United States\",\"RMP\",\\N,65.507778,-150.140833,302,-9,\"A\",\"America/Anchorage\"\n", + "7113,\"Tanana Airport\",\"Tanana\",\"United States\",\"TAL\",\\N,65.179556,-152.075833,207,-9,\"A\",\"America/Anchorage\"\n", + "7114,\"Venetie Airport\",\"Venetie\",\"United States\",\"VEE\",\"PAVE\",67.008611,-146.366389,574,-9,\"A\",\"America/Anchorage\"\n", + "7115,\"Beaver Airport\",\"Beaver\",\"United States\",\"WBQ\",\"PAWB\",66.362222,-147.406667,359,-9,\"A\",\"America/Anchorage\"\n", + "7116,\"Central Airport\",\"Central\",\"United States\",\"CEM\",\"PACE\",65.573889,-144.780833,937,-9,\"A\",\"America/Anchorage\"\n", + "7117,\"Shungnak Airport\",\"Shungnak\",\"United States\",\"SHG\",\"PAGH\",66.888056,-157.1625,197,-9,\"A\",\"America/Anchorage\"\n", + "7118,\"Birch Creek Airport\",\"Brich Creek\",\"United States\",\"KBC\",\\N,66.256708,-145.815319,450,-9,\"A\",\"America/Anchorage\"\n", + "7119,\"Coldfoot Airport\",\"Coldfoot\",\"United States\",\"CXF\",\\N,67.251389,-150.176111,1014,-9,\"A\",\"America/Anchorage\"\n", + "7120,\"Inyokern Airport\",\"Inyokern\",\"United States\",\"IYK\",\"KIYK\",35.658889,-117.829444,2455,-8,\"A\",\"America/Los_Angeles\"\n", + "7121,\"Visalia Municipal Airport\",\"Visalia\",\"United States\",\"VIS\",\"KVIS\",36.318611,-119.392778,295,-8,\"A\",\"America/Los_Angeles\"\n", + "7122,\"Merced Municipal Airport\",\"Merced\",\"United States\",\"MCE\",\"KMCE\",37.284722,-120.513889,156,-8,\"A\",\"America/Los_Angeles\"\n", + "7123,\"Laguna de Los Patos International Airport\",\"Colonia\",\"Uruguay\",\"CYR\",\"SUCA\",-34.4564,-57.7706,66,-3,\"U\",\"America/Montevideo\"\n", + "7124,\"Camelo\",\"Camelo\",\"Uruguay\",\"\",\"SULO\",-33.963882,-58.288612,10,-3,\"U\",\"America/Montevideo\"\n", + "7125,\"Amarais Airport\",\"Campinas\",\"Brazil\",\"CPQ\",\"SDAM\",-22.8592,-47.1082,2008,-3,\"S\",\"America/Sao_Paulo\"\n", + "7126,\"Phoenix Goodyear\",\"Goodyear\",\"United States\",\"\",\"KGYR\",33.423725,-112.374456,968,-7,\"N\",\"America/Phoenix\"\n", + "7127,\"Park City\",\"Park City\",\"United States\",\"\",\\N,40.659444,-111.4997222,7000,-7,\"U\",\"America/Denver\"\n", + "7128,\"Toowoomba\",\"Toowoomba\",\"Australia\",\"TWB\",\"YTWB\",-27.542778,151.916389,2086,10,\"N\",\"Australia/Brisbane\"\n", + "7129,\"Ballera\",\"Ballera\",\"Australia\",\"\",\"YLLE\",-27.408333,141.808333,385,10,\"N\",\"Australia/Brisbane\"\n", + "7130,\"Gatton\",\"Gatton\",\"Australia\",\"\",\"YGAT\",-27.5583000183105,152.341995239258,400,10,\"N\",\"Australia/Brisbane\"\n", + "7131,\"Arkalyk Airport\",\"Arkalyk\",\"Kazakhstan\",\"AYK\",\"UAUR\",50.2395,66.941,1152,6,\"U\",\"Asia/Qyzylorda\"\n", + "7132,\"Hamburger Hafen\",\"Hamburg\",\"Germany\",\"\",\"ZZ06\",53.542369,9.981592,0,1,\"E\",\"Europe/Berlin\"\n", + "7133,\"Flugplatz Fehmarn-Neujellingsdorf\",\"Neujellingsdorf\",\"Germany\",\"\",\"ZZ05\",54.455802,11.109273,0,1,\"E\",\"Europe/Berlin\"\n", + "7134,\"Nabern Teck\",\"Kirchheim-Teck\",\"Germany\",\"\",\"EDTN\",48.3676,9.2863,1215,1,\"E\",\"Europe/Berlin\"\n", + "7135,\"Angoon Seaplane Base\",\"Angoon\",\"United States\",\"AGN\",\"PAGN\",57.503611,-134.585,0,-9,\"A\",\"America/Anchorage\"\n", + "7136,\"Elfin Cove Seaplane Base\",\"Elfin Cove\",\"United States\",\"ELV\",\"PAEL\",58.195278,-136.3475,0,-9,\"A\",\"America/Anchorage\"\n", + "7137,\"Tenakee Seaplane Base\",\"Tenakee Springs\",\"United States\",\"TKE\",\\N,57.779722,-135.218333,0,-9,\"A\",\"America/Anchorage\"\n", + "7138,\"Pelican Seaplane Base\",\"Pelican\",\"United States\",\"PEC\",\\N,57.955278,-136.236389,0,-9,\"A\",\"America/Anchorage\"\n", + "7139,\"Chatham Seaplane Base\",\"Sitka\",\"United States\",\"CYM\",\\N,57.515,-134.946111,0,-9,\"A\",\"America/Anchorage\"\n", + "7140,\"Funter Bay Seaplane Base\",\"Funter Bay\",\"United States\",\"FNR\",\"PANR\",58.254444,-134.897778,0,-9,\"A\",\"America/Anchorage\"\n", + "7141,\"Excursion Inlet Seaplane Base\",\"Excursion Inlet\",\"United States\",\"EXI\",\\N,58.420556,-135.449167,0,-9,\"A\",\"America/Anchorage\"\n", + "7142,\"Hoonah Airport\",\"Hoonah\",\"United States\",\"HNH\",\"PAOH\",58.096111,-135.409722,19,-9,\"A\",\"America/Anchorage\"\n", + "7143,\"Kake Airport\",\"Kake\",\"United States\",\"AFE\",\"PAFE\",56.961389,-133.910278,172,-9,\"A\",\"America/Anchorage\"\n", + "7144,\"Craig Seaplane Base\",\"Craig\",\"United States\",\"CGA\",\\N,55.478889,-133.147778,0,-9,\"A\",\"America/Anchorage\"\n", + "7145,\"Hollis Seaplane Base\",\"Hollis\",\"United States\",\"HYL\",\\N,55.481667,-132.646111,0,-9,\"A\",\"America/Anchorage\"\n", + "7146,\"Metlakatla Seaplane Base\",\"Metakatla\",\"United States\",\"MTM\",\"PAMM\",55.131111,-131.578056,0,-9,\"A\",\"America/Anchorage\"\n", + "7147,\"Thorne Bay Seaplane Base\",\"Thorne Bay\",\"United States\",\"KTB\",\\N,55.688056,-132.536667,0,-9,\"A\",\"America/Anchorage\"\n", + "7148,\"Hydaburg Seaplane Base\",\"Hydaburg\",\"United States\",\"HYG\",\"PAHY\",55.206389,-132.828333,0,-9,\"A\",\"America/Anchorage\"\n", + "7149,\"Hyder Seaplane Base\",\"Hyder\",\"United States\",\"WHD\",\\N,55.903333,-130.006667,0,-8,\"A\",\"America/Vancouver\"\n", + "7150,\"Point Baker Seaplane Base\",\"Point Baker\",\"United States\",\"KPB\",\\N,56.351944,-133.6225,0,-9,\"A\",\"America/Anchorage\"\n", + "7151,\"Port Protection Seaplane Base\",\"Port Protection\",\"United States\",\"PPV\",\\N,56.328889,-133.61,0,-9,\"A\",\"America/Anchorage\"\n", + "7152,\"North Whale Seaplane Base\",\"North Whale Pass\",\"United States\",\"WWP\",\\N,56.116389,-133.121667,0,-9,\"A\",\"America/Anchorage\"\n", + "7153,\"Chignik Lake Airport\",\"Chignik Lake\",\"United States\",\"KCQ\",\\N,56.255,-158.775278,50,-9,\"A\",\"America/Anchorage\"\n", + "7154,\"Egegik Airport\",\"Egegik\",\"United States\",\"EGX\",\"PAII\",58.185556,-157.375556,92,-9,\"A\",\"America/Anchorage\"\n", + "7155,\"Chignik Lagoon Airport\",\"Chignik Lagoon\",\"United States\",\"KCL\",\\N,56.311111,-158.534167,25,-9,\"A\",\"America/Anchorage\"\n", + "7156,\"Chignik Bay Seaplane Base\",\"Chignik\",\"United States\",\"KBW\",\\N,56.295556,-158.401398,0,-9,\"A\",\"America/Anchorage\"\n", + "7157,\"Perryville Airport\",\"Perryville\",\"United States\",\"KPV\",\"PAPE\",55.906667,-159.160833,29,-9,\"A\",\"America/Anchorage\"\n", + "7158,\"Pilot Point Airport\",\"Pilot Point\",\"United States\",\"PIP\",\"PAPN\",57.585393,-157.571944,57,-9,\"A\",\"America/Anchorage\"\n", + "7159,\"South Naknek Airport\",\"South Naknek\",\"United States\",\"WSN\",\"PFWS\",58.702222,-157.0025,162,-9,\"A\",\"America/Anchorage\"\n", + "7160,\"Akhiok Airport\",\"Akhiok\",\"United States\",\"AKK\",\"PAKH\",56.938611,-154.1825,44,-9,\"A\",\"America/Anchorage\"\n", + "7161,\"Karuluk Airport\",\"Karluk\",\"United States\",\"KYK\",\"PAKY\",57.566944,-154.450278,137,-9,\"A\",\"America/Anchorage\"\n", + "7162,\"Larsen Bay Airport\",\"Larsen Bay\",\"United States\",\"KLN\",\"PALB\",57.535,-153.976667,87,-9,\"A\",\"America/Anchorage\"\n", + "7163,\"Old Harbor Airport\",\"Old Harbor\",\"United States\",\"OLH\",\\N,57.218056,-153.269722,55,-9,\"A\",\"America/Anchorage\"\n", + "7164,\"Ouzinkie Airport\",\"Ouzinkie\",\"United States\",\"KOZ\",\\N,57.922876,-152.500511,55,-9,\"A\",\"America/Anchorage\"\n", + "7165,\"Port Lions Airport\",\"Port Lions\",\"United States\",\"ORI\",\\N,57.885278,-152.846111,52,-9,\"A\",\"America/Anchorage\"\n", + "7166,\"Alitak Seaplane Base\",\"Lazy Bay\",\"United States\",\"ALZ\",\\N,56.899444,-154.247778,0,-9,\"A\",\"America/Anchorage\"\n", + "7167,\"Amook Bay Seaplane Base\",\"Amook Bay\",\"United States\",\"AOS\",\\N,57.471389,-153.815278,0,-9,\"A\",\"America/Anchorage\"\n", + "7168,\"Kitoi Bay Seaplane Base\",\"Kitoi Bay\",\"United States\",\"KKB\",\\N,58.190833,-152.370556,0,-9,\"A\",\"America/Anchorage\"\n", + "7169,\"Moser Bay Seaplane Base\",\"Moser Bay\",\"United States\",\"KMY\",\\N,57.025556,-154.145833,0,-9,\"A\",\"America/Anchorage\"\n", + "7170,\"Olga Bay Seaplane Base\",\"Olga Bay\",\"United States\",\"KOY\",\\N,57.161389,-154.229722,0,-9,\"A\",\"America/Anchorage\"\n", + "7171,\"Port Bailey Seaplane Base\",\"Port Bailey\",\"United States\",\"KPY\",\\N,57.93,-153.040556,0,-9,\"A\",\"America/Anchorage\"\n", + "7172,\"Port Williams Seaplane Base\",\"Port Williams\",\"United States\",\"KPR\",\\N,58.49,-152.582222,0,-9,\"A\",\"America/Anchorage\"\n", + "7173,\"Seal Bay Seaplane Base\",\"Seal Bay\",\"United States\",\"SYB\",\\N,58.166667,-152.5,0,-9,\"A\",\"America/Anchorage\"\n", + "7174,\"San Juan - Uganik Seaplane Base\",\"San Juan\",\"United States\",\"WSJ\",\\N,57.730278,-153.320556,0,-9,\"A\",\"America/Anchorage\"\n", + "7175,\"West Point Village Seaplane Base\",\"West Point\",\"United States\",\"KWP\",\\N,57.77,-153.548889,0,-9,\"A\",\"America/Anchorage\"\n", + "7176,\"Zachar Bay Seaplane Base\",\"Zachar Bay\",\"United States\",\"KZB\",\\N,57.55,-153.75,0,-9,\"A\",\"America/Anchorage\"\n", + "7177,\"Ambler Airport\",\"Ambler\",\"United States\",\"ABL\",\"PAFM\",67.106389,-157.8575,334,-9,\"A\",\"America/Anchorage\"\n", + "7178,\"Buckland Airport\",\"Buckland\",\"United States\",\"BKC\",\"PABL\",65.981667,-161.149167,31,-9,\"A\",\"America/Anchorage\"\n", + "7179,\"Bob Baker Memorial Airport\",\"Kiana\",\"United States\",\"IAN\",\"PAIK\",66.975833,-160.436667,166,-9,\"A\",\"America/Anchorage\"\n", + "7180,\"Kobuk Airport\",\"Kobuk\",\"United States\",\"OBU\",\"PAOB\",66.912222,-156.897222,137,-9,\"A\",\"America/Anchorage\"\n", + "7181,\"Robert Curtis Memorial Airport\",\"Noorvik\",\"United States\",\"ORV\",\"PFNO\",66.8175,-161.022222,55,-9,\"A\",\"America/Anchorage\"\n", + "7182,\"Selawik Airport\",\"Selawik\",\"United States\",\"WLK\",\"PASK\",66.6,-159.985833,17,-9,\"A\",\"America/Anchorage\"\n", + "7183,\"Brevig Mission Airport\",\"Brevig Mission\",\"United States\",\"KTS\",\"PFKT\",65.331389,-166.465833,35,-9,\"A\",\"America/Anchorage\"\n", + "7184,\"Elim Airport\",\"Elim\",\"United States\",\"ELI\",\"PFEL\",64.615,-162.270556,162,-9,\"A\",\"America/Anchorage\"\n", + "7185,\"Golovin Airport\",\"Golovin\",\"United States\",\"GLV\",\"PAGL\",64.550556,-163.007222,59,-9,\"A\",\"America/Anchorage\"\n", + "7186,\"Teller Airport\",\"Teller\",\"United States\",\"TLA\",\"PATE\",65.240278,-166.339444,294,-9,\"A\",\"America/Anchorage\"\n", + "7187,\"Wales Airport\",\"Wales\",\"United States\",\"WAA\",\"PAIW\",65.6225,-168.095,22,-9,\"A\",\"America/Anchorage\"\n", + "7188,\"White Mountain Airport\",\"White Mountain\",\"United States\",\"WMO\",\"PAWM\",64.689167,-163.412778,267,-9,\"A\",\"America/Anchorage\"\n", + "7189,\"Council Airport\",\"Council\",\"United States\",\"CIL\",\\N,64.897778,-163.703333,85,-9,\"A\",\"America/Anchorage\"\n", + "7190,\"Koyuk Alfred Adams Airport\",\"Koyuk\",\"United States\",\"KKA\",\"PAKK\",64.939444,-161.154167,154,-9,\"A\",\"America/Anchorage\"\n", + "7191,\"St. Michael Airport\",\"St. Michael\",\"United States\",\"SMK\",\"PAMK\",63.49,-162.110278,98,-9,\"A\",\"America/Anchorage\"\n", + "7192,\"Shaktoolik Airport\",\"Shaktoolik\",\"United States\",\"SKK\",\"PFSH\",64.371111,-161.223889,24,-9,\"A\",\"America/Anchorage\"\n", + "7193,\"Stebbins Airport\",\"Stebbins\",\"United States\",\"WBB\",\\N,63.515833,-162.278056,14,-9,\"A\",\"America/Anchorage\"\n", + "7194,\"Tin City LRRS Airport\",\"Tin City\",\"United States\",\"TNC\",\"PATC\",65.563056,-167.921667,269,-9,\"A\",\"America/Anchorage\"\n", + "7195,\"Atka Airport\",\"Atka\",\"United States\",\"AKB\",\"PAAK\",52.220278,-174.206389,56,-9,\"A\",\"America/Anchorage\"\n", + "7196,\"Nikolski Air Station\",\"Nikolski\",\"United States\",\"IKO\",\"PAKO\",52.941667,-168.848889,77,-9,\"A\",\"America/Anchorage\"\n", + "7197,\"Icy Bay Airport\",\"Icy Bay\",\"United States\",\"ICY\",\\N,59.968889,-141.661667,50,-9,\"A\",\"America/Anchorage\"\n", + "7198,\"Yakataga Airport\",\"Yakataga\",\"United States\",\"CYT\",\"PACY\",60.081901,-142.493611,12,-9,\"A\",\"America/Anchorage\"\n", + "7199,\"Alakanuk Airport\",\"Alakanuk\",\"United States\",\"AUK\",\"PAUK\",62.68,-164.66,10,-9,\"A\",\"America/Anchorage\"\n", + "7200,\"Sheldon Point Airport\",\"Nunam Iqua\",\"United States\",\"SXP\",\\N,62.520556,-164.847778,12,-9,\"A\",\"America/Anchorage\"\n", + "7201,\"Kipnuk Airport\",\"Kipnuk\",\"United States\",\"KPN\",\"PAKI\",59.933056,-164.030556,11,-9,\"A\",\"America/Anchorage\"\n", + "7202,\"False Pass Airport\",\"False Pass\",\"United States\",\"KFP\",\"PAKF\",54.8475,-163.410278,20,-9,\"A\",\"America/Anchorage\"\n", + "7203,\"Nelson Lagoon\",\"Nelson Lagoon\",\"United States\",\"NLG\",\"PAOU\",56.0075,-161.160278,14,-9,\"A\",\"America/Anchorage\"\n", + "7204,\"Port Moller Airport\",\"Cold Bay\",\"United States\",\"PML\",\"PAAL\",56.006111,-160.560833,20,-9,\"A\",\"America/Anchorage\"\n", + "7205,\"Klawock Airport\",\"Klawock\",\"United States\",\"KLW\",\"PAKW\",55.579167,-133.076111,80,-9,\"A\",\"America/Anchorage\"\n", + "7206,\"Quinhagak Airport\",\"Quinhagak\",\"United States\",\"KWN\",\"PAQH\",59.755,-161.845278,42,-9,\"A\",\"America/Anchorage\"\n", + "7207,\"Kotlik Airport\",\"Kotlik\",\"United States\",\"KOT\",\"PFKO\",63.030556,-163.532778,15,-9,\"A\",\"America/Anchorage\"\n", + "7208,\"Koyukuk Airport\",\"Koyukuk\",\"United States\",\"KYU\",\"PFKU\",64.875833,-157.730556,149,-9,\"A\",\"America/Anchorage\"\n", + "7209,\"Scammon Bay Airport\",\"Scammon Bay\",\"United States\",\"SCM\",\"PACM\",61.845278,-165.571389,14,-9,\"A\",\"America/Anchorage\"\n", + "7210,\"Nondalton Airport\",\"Nondalton\",\"United States\",\"NNL\",\"PANO\",59.966944,-154.851667,262,-9,\"A\",\"America/Anchorage\"\n", + "7211,\"Pedro Bay Airport\",\"Pedro Bay\",\"United States\",\"PDB\",\\N,59.782222,-154.1325,45,-9,\"A\",\"America/Anchorage\"\n", + "7212,\"Nunapitchuk Airport\",\"Nunapitchuk\",\"United States\",\"NUP\",\\N,60.905833,-162.439167,12,-9,\"A\",\"America/Anchorage\"\n", + "7213,\"Kongiganak Airport\",\"Kongiganak\",\"United States\",\"KKH\",\"PADY\",59.960833,-162.881111,30,-9,\"A\",\"America/Anchorage\"\n", + "7214,\"Nikolai Airport\",\"Nikolai\",\"United States\",\"NIB\",\"PAFS\",63.010833,-154.383889,427,-9,\"A\",\"America/Anchorage\"\n", + "7215,\"Takotna Airport\",\"Takotna\",\"United States\",\"TCT\",\\N,62.971944,-156.082778,825,-9,\"A\",\"America/Anchorage\"\n", + "7216,\"Pilot Station Airport\",\"Pilot Station\",\"United States\",\"PQS\",\\N,61.934444,-162.899444,305,-9,\"A\",\"America/Anchorage\"\n", + "7217,\"Akiak Airport\",\"Akiak\",\"United States\",\"AKI\",\"PFAK\",60.902778,-161.230556,30,-9,\"A\",\"America/Anchorage\"\n", + "7218,\"Tuluksak Airport\",\"Tuluksak\",\"United States\",\"TLT\",\\N,61.096944,-160.969444,30,-9,\"A\",\"America/Anchorage\"\n", + "7219,\"Grayling Airport\",\"Grayling\",\"United States\",\"KGX\",\\N,62.894444,-160.065,99,-9,\"A\",\"America/Anchorage\"\n", + "7220,\"Wainwright Airport\",\"Wainwright\",\"United States\",\"AIN\",\"PAWI\",70.638056,-159.994722,41,-9,\"A\",\"America/Anchorage\"\n", + "7221,\"ZAPALA\",\"ZAPALA\",\"Argentina\",\"APZ\",\"SAHZ\",-38.9755,-70.113581,3330,-3,\"N\",\"America/Cordoba\"\n", + "7222,\"Rincon de los Sauces\",\"Rincon de los Sauces\",\"Argentina\",\"RDS\",\\N,-37.390617,-68.904211,1969,-3,\"N\",\"America/Cordoba\"\n", + "7223,\"Colonia Sarmiento\",\"Colonia Sarmiento\",\"Argentina\",\"OLN\",\\N,-45.6,-69.083333,849,-3,\"N\",\"America/Cordoba\"\n", + "7224,\"Grytvyken\",\"Grytvyken\",\"South Georgia and the Islands\",\"\",\\N,-54.276667,-36.511667,538,-2,\"S\",\"Atlantic/South_Georgia\"\n", + "7225,\"Rio Turbio\",\"Rio Turbio\",\"Argentina\",\"RYO\",\\N,-51.533333,-72.3,1158,-3,\"N\",\"America/Cordoba\"\n", + "7226,\"Puerto Natales\",\"Puerto Natales\",\"Chile\",\"PNT\",\"SCNT\",-51.733333,-72.516667,9,-4,\"S\",\"America/Santiago\"\n", + "7227,\"Caleta Olivia\",\"Caleta Olivia\",\"Argentina\",\"CVI\",\\N,-46.4333,-67.5333,124,-3,\"N\",\"America/Cordoba\"\n", + "7228,\"Fitz Roy\",\"El Chalten\",\"Argentina\",\"\",\\N,-47.033333,-67.25,757,-3,\"N\",\"America/Cordoba\"\n", + "7229,\"Sierra Grande\",\"Sierra Grande\",\"Argentina\",\"SGV\",\"SAVS\",-41.592,-65.341,820,-3,\"N\",\"America/Cordoba\"\n", + "7230,\"Ingeniero Jacobacci\",\"Ingeniero Jacobacci\",\"Argentina\",\"IGB\",\"SAVJ\",-41.3,-69.5833,2936,-3,\"N\",\"America/Cordoba\"\n", + "7231,\"Lago Posadas\",\"Lago Posadas\",\"Argentina\",\"\",\\N,-47.533333,-71.75,748,-3,\"N\",\"America/Cordoba\"\n", + "7232,\"El Chalten\",\"El Chalten\",\"Argentina\",\"ELX\",\\N,-49.328889,-72.93,1279,-3,\"N\",\"America/Cordoba\"\n", + "7233,\"Chenega Bay Airport\",\"Chenega\",\"United States\",\"NCN\",\"PFCB\",60.077222,-147.991944,72,-9,\"A\",\"America/Anchorage\"\n", + "7234,\"Chisana Airport\",\"Chisana\",\"United States\",\"CZN\",\\N,62.071111,-142.048333,1011,-9,\"A\",\"America/Anchorage\"\n", + "7235,\"Tok Junction Airport\",\"Tok\",\"United States\",\"6K8\",\"PFTO\",63.329444,-142.953611,1639,-9,\"A\",\"America/Anchorage\"\n", + "7236,\"Circle City Airport\",\"Circle\",\"United States\",\"IRC\",\"PACR\",65.827778,-144.076111,613,-9,\"A\",\"America/Anchorage\"\n", + "7237,\"Coffman Cove Seaplane Base\",\"Coffman Cove\",\"United States\",\"KCC\",\\N,56.014722,-132.833889,0,-9,\"A\",\"America/Anchorage\"\n", + "7238,\"Crooked Creek Airport\",\"Crooked Creek\",\"United States\",\"CKD\",\\N,61.867778,-158.135,178,-9,\"A\",\"America/Anchorage\"\n", + "7239,\"Red Devil Airport\",\"Red Devil\",\"United States\",\"RDV\",\\N,61.788056,-157.350278,174,-9,\"A\",\"America/Anchorage\"\n", + "7240,\"Sleetmute Airport\",\"Sleetmute\",\"United States\",\"SLQ\",\"PASL\",61.700566,-157.165833,190,-9,\"A\",\"America/Anchorage\"\n", + "7241,\"Stony River 2 Airport\",\"Stony River\",\"United States\",\"SRV\",\\N,61.7875,-156.591111,230,-9,\"A\",\"America/Anchorage\"\n", + "7242,\"Healy River Airport\",\"Healy\",\"United States\",\"HKB\",\"PAHV\",63.8675,-148.968889,1263,-9,\"A\",\"America/Anchorage\"\n", + "7243,\"Kake Seaplane Base\",\"Kake\",\"United States\",\"KAE\",\\N,56.973056,-133.945556,0,-9,\"A\",\"America/Anchorage\"\n", + "7244,\"Klawock Seaplane Base\",\"Klawock\",\"United States\",\"AQC\",\"PAQC\",55.554658,-133.101693,0,-9,\"A\",\"America/Anchorage\"\n", + "7245,\"Minchumina Airport\",\"Lake Minchumina\",\"United States\",\"MHM\",\"PAMH\",63.886111,-152.301944,678,-9,\"A\",\"America/Anchorage\"\n", + "7246,\"Manley Hot Springs Airport\",\"Manley Hot Springs\",\"United States\",\"MLY\",\"PAML\",64.9975,-150.644167,270,-9,\"A\",\"America/Anchorage\"\n", + "7247,\"St. George Airport\",\"St. George\",\"United States\",\"STG\",\\N,56.577222,-169.663611,125,-9,\"A\",\"America/Anchorage\"\n", + "7248,\"Tatitlek Airport\",\"Tatitlek\",\"United States\",\"TEK\",\\N,60.8725,-146.691111,62,-9,\"A\",\"America/Anchorage\"\n", + "7249,\"Ketchikan harbor Seaplane Base\",\"Ketchikan\",\"United States\",\"WFB\",\\N,55.344444,-131.663333,0,-9,\"A\",\"America/Anchorage\"\n", + "7250,\"Fox Harbour Airport\",\"Fox Harbour\",\"Canada\",\"\",\\N,45.87,-63.461111,62,-4,\"A\",\"America/Halifax\"\n", + "7251,\"Natuashish Airport\",\"Natuashish\",\"Canada\",\"\",\"CNH2\",55.913889,-61.184444,33,-4,\"A\",\"America/Halifax\"\n", + "7252,\"Postville Airport\",\"Postville\",\"Canada\",\"YSO\",\"CCD4\",54.910278,-59.785278,223,-4,\"A\",\"America/Halifax\"\n", + "7253,\"Kangiqsujuaq - Wakeham Bay Airport\",\"Kangiqsujuaq\",\"Canada\",\"YWB\",\"CYKG\",61.588611,-71.929444,501,-5,\"A\",\"America/Toronto\"\n", + "7254,\"Alma Airport\",\"Alma\",\"Canada\",\"YTF\",\"CYTF\",48.508611,-71.641389,449,-5,\"A\",\"America/Toronto\"\n", + "7255,\"Havre Saint-Pierre Airport\",\"Havre-Saint-Pierre\",\"Canada\",\"YGV\",\"CYGV\",50.281944,-63.611389,124,-5,\"A\",\"America/Toronto\"\n", + "7256,\"Rimouski Airport\",\"Rimouski\",\"Canada\",\"YXK\",\"CYXK\",48.478056,-68.496944,82,-5,\"A\",\"America/Toronto\"\n", + "7257,\"Vakarufahli Island\",\"Vakarufahli Island\",\"Maldives\",\"\",\\N,3.578742,72.902075,0,5,\"U\",\"Indian/Maldives\"\n", + "7258,\"Vakarufalhi Island\",\"Vakarufalhi Island\",\"Maldives\",\"\",\\N,3.578742,72.902075,0,5,\"N\",\"Indian/Maldives\"\n", + "7259,\"Tadoule Lake Airport\",\"Tadoule Lake\",\"Canada\",\"XTL\",\"CYBQ\",58.706111,-98.512222,923,-6,\"A\",\"America/Winnipeg\"\n", + "7260,\"Lac Brochet Airport\",\"Lac Brochet\",\"Canada\",\"XLB\",\"CZWH\",58.614167,-101.468889,1212,-6,\"A\",\"America/Winnipeg\"\n", + "7261,\"South Indian Lake Airport\",\"South Indian Lake\",\"Canada\",\"XSI\",\"CZSN\",56.792778,-98.907222,951,-6,\"A\",\"America/Winnipeg\"\n", + "7262,\"Brochet Airport\",\"Brochet\",\"Canada\",\"YBT\",\"CYBT\",57.889444,-101.679167,1131,-6,\"A\",\"America/Winnipeg\"\n", + "7263,\"Little Grand Rapids Airport\",\"Little Grand Rapids\",\"Canada\",\"ZGR\",\"CZGR\",52.045,-95.466111,1008,-6,\"A\",\"America/Winnipeg\"\n", + "7264,\"Cross Lake - Charlie Sinclair Memorial Airport\",\"Cross Lake\",\"Canada\",\"YCR\",\"CYCR\",54.610833,-97.760278,707,-6,\"A\",\"America/Winnipeg\"\n", + "7265,\"Red Sucker Lake Airport\",\"Red Sucker Lake\",\"Canada\",\"YRS\",\"CYRS\",54.167222,-93.557222,729,-6,\"A\",\"America/Winnipeg\"\n", + "7266,\"Rainbow Lake Airport\",\"Rainbow Lake\",\"Canada\",\"YOP\",\"CYOP\",58.491389,-119.407778,1756,-7,\"A\",\"America/Edmonton\"\n", + "7267,\"Bonnyville Airport\",\"Bonnyville\",\"Canada\",\"YBY\",\"CYBF\",54.304722,-110.741111,1839,-7,\"A\",\"America/Edmonton\"\n", + "7268,\"Nanaimo Harbour Water Airport\",\"Nanaimo\",\"Canada\",\"ZNA\",\"CAC8\",49.183333,-123.95,0,-8,\"A\",\"America/Vancouver\"\n", + "7269,\"Ganges Water Aerodrome\",\"Ganges\",\"Canada\",\"\",\"CAX6\",48.85,-123.5,0,-8,\"A\",\"America/Vancouver\"\n", + "7270,\"Bedwell Harbour Water Aerdrome\",\"Bedwell Harbour\",\"Canada\",\"\",\\N,48.75,-123.233333,0,-8,\"A\",\"America/Vancouver\"\n", + "7271,\"Qualicum Beach Airport\",\"Qualicum Beach\",\"Canada\",\"XQU\",\\N,49.337222,-124.393889,191,-8,\"A\",\"America/Vancouver\"\n", + "7272,\"Fort St. James - Perison Airport\",\"Fort St. James\",\"Canada\",\"YJM\",\"CYJM\",54.397222,-124.262778,2364,-8,\"A\",\"America/Vancouver\"\n", + "7273,\"Boundary Bay Airport\",\"Boundary Bay\",\"Canada\",\"YDT\",\"CZBB\",49.073889,-123.0075,6,-8,\"A\",\"America/Vancouver\"\n", + "7274,\"Langley Regional Airport\",\"Langley Township\",\"Canada\",\"\",\"CYNJ\",49.101111,-122.630556,34,-8,\"A\",\"America/Vancouver\"\n", + "7275,\"Bella Bella Airport\",\"Bella Bella\",\"Canada\",\"ZEL\",\"CYJQ\",52.139722,-128.063611,162,-8,\"A\",\"America/Vancouver\"\n", + "7276,\"Sechelt Aerodrome\",\"Sechelt-Gibsons\",\"Canada\",\"YHS\",\\N,49.460556,-123.718611,250,-8,\"A\",\"America/Vancouver\"\n", + "7277,\"Wekweeti Airport\",\"Wekweeti\",\"Canada\",\"\",\"CFJ2\",64.190833,-114.076667,1206,-7,\"A\",\"America/Edmonton\"\n", + "7278,\"Campo Cuatro Milpas Airport\",\"Guasave\",\"Mexico\",\"\",\"MM52\",25.651944,-108.538056,72,-7,\"A\",\"America/Mazatlan\"\n", + "7279,\"Isla de Cedros Airport\",\"Cedros\",\"Mexico\",\"\",\"MMCD\",28.0375,-115.189444,98,-6,\"A\",\"America/Mexico_City\"\n", + "7280,\"Cabo San Lucas International Airport\",\"Cabo San Lucas\",\"Mexico\",\"\",\"MMSL\",22.9475,-109.937081,459,-7,\"A\",\"America/Mazatlan\"\n", + "7281,\"Bahia Tortugas Airfield\",\"Bahia Tortugas\",\"Mexico\",\"\",\\N,27.705278,-114.911111,102,-7,\"A\",\"America/Mazatlan\"\n", + "7282,\"Palo Verde Airport\",\"San Bruno\",\"Mexico\",\"PVP\",\\N,27.093056,-112.098889,55,-7,\"A\",\"America/Mazatlan\"\n", + "7283,\"Ziyaraifushi\",\"Ziyaraifushi\",\"Maldives\",\"\",\\N,4.531313889,73.373325,0,5,\"U\",\"Indian/Maldives\"\n", + "7284,\"Brussels Gare du Midi\",\"Brussels\",\"Belgium\",\"ZYR\",\\N,50.8,4.4,180,1,\"E\",\"Europe/Brussels\"\n", + "7285,\"Caye Chapel Airport\",\"Caye Chapel\",\"Belize\",\"CYC\",\\N,17.683611,-88.045,10,-6,\"U\",\"America/Belize\"\n", + "7286,\"Big Creek Airport\",\"Big Creek\",\"Belize\",\"BGK\",\\N,16.516667,-88.416667,16,-6,\"U\",\"America/Belize\"\n", + "7287,\"Dangriga Airport\",\"Dangriga\",\"Belize\",\"DGA\",\\N,16.966667,-88.216667,10,-6,\"U\",\"America/Belize\"\n", + "7288,\"Placencia Airport\",\"Placencia\",\"Belize\",\"PLJ\",\\N,16.536944,-88.361667,42,-6,\"U\",\"America/Belize\"\n", + "7289,\"Sartaneja Airport\",\"Sarteneja\",\"Belize\",\"SJX\",\\N,18.355556,-88.130833,10,-6,\"U\",\"America/Belize\"\n", + "7290,\"Huehuetenango Airport\",\"Huehuetenango\",\"Guatemala\",\"\",\\N,15.314722,-91.476111,1901,-6,\"U\",\"America/Guatemala\"\n", + "7291,\"Corn Island Airport\",\"Corn Island\",\"Nicaragua\",\"RNI\",\"MNCI\",12.168611,-83.0675,26,-6,\"U\",\"America/Managua\"\n", + "7292,\"Bonanza Airport\",\"Bonanza\",\"Nicaragua\",\"BZA\",\"MNBZ\",14.041667,-84.630556,597,-6,\"U\",\"America/Managua\"\n", + "7293,\"Rosita Airport\",\"Rosita\",\"Nicaragua\",\"RFS\",\"MNRT\",13.897222,-84.404722,207,-6,\"U\",\"America/Managua\"\n", + "7294,\"Siuna Airport\",\"Siuna\",\"Nicaragua\",\"SIU\",\"MNSI\",13.716667,-84.776944,480,-6,\"U\",\"America/Managua\"\n", + "7295,\"Waspam Airport\",\"Waspam\",\"Nicaragua\",\"WSP\",\"MNWP\",14.737778,-83.975833,115,-6,\"U\",\"America/Managua\"\n", + "7296,\"San Carols Airport\",\"San Carlos\",\"Nicaragua\",\"\",\"MNSC\",11.133333,-84.783333,131,-6,\"U\",\"America/Managua\"\n", + "7297,\"Carrillo Airport\",\"Carrillo\",\"Costa Rica\",\"RIK\",\"MRCR\",9.866667,-85.483333,10,-6,\"U\",\"America/Costa_Rica\"\n", + "7298,\"Fussen\",\"Fussen\",\"Germany\",\"FUS\",\"FUSS\",47.585,10.6866,800,1,\"U\",\"Europe/Berlin\"\n", + "7299,\"John A. Osborne Airport\",\"Montserrat\",\"Montserrat\",\"\",\\N,16.791389,-62.193333,550,-4,\"U\",\"America/Montserrat\"\n", + "7300,\"Monte Plata Batley Juan Sanchez Field\",\"Monte Plata\",\"Dominican Republic\",\"\",\"MDJS\",18.81,-69.79,1424,-4,\"U\",\"America/Santo_Domingo\"\n", + "7301,\"Constanza Airport\",\"Constanza\",\"Dominican Republic\",\"COZ\",\"MDCZ\",18.907626,-70.719852,3931,-4,\"U\",\"America/Santo_Domingo\"\n", + "7302,\"Negril Aerodrome\",\"Negril\",\"Jamaica\",\"NEG\",\"MKNG\",18.34,-78.335556,9,-5,\"U\",\"America/Jamaica\"\n", + "7303,\"Bochum Railway\",\"Bochum\",\"Germany\",\"EBO\",\\N,51.478506,7.222781,45,1,\"U\",\"Europe/Berlin\"\n", + "7304,\"Fliegerhost \",\"Kaufbeuren\",\"Germany\",\"KFB\",\\N,47.874,10.6294,680,1,\"U\",\"Europe/Berlin\"\n", + "7305,\"Munich Railway\",\"Munich\",\"Germany\",\"ZMU\",\\N,48.1408,11.555,500,1,\"U\",\"Europe/Berlin\"\n", + "7306,\"Nuernberg Railway\",\"Nuernberg\",\"Germany\",\"ZAQ\",\\N,49.446389,11.081944,312,1,\"U\",\"Europe/Berlin\"\n", + "7307,\"Jose Aponte de la Torre Airport\",\"Ceiba\",\"Puerto Rico\",\"RVR\",\"TJRV\",18.245278,-65.643333,38,-4,\"A\",\"America/Puerto_Rico\"\n", + "7308,\"Aeropuerto Internacional Valle del Conlara\",\"Merlo\",\"Argentina\",\"RLO\",\\N,-32.349803,-65.179932,100,-3,\"N\",\"America/Cordoba\"\n", + "7309,\"Charlotte Amalie Harbor\",\"Charlotte Amalie\",\"Virgin Islands\",\"\",\"VI22\",18.338611,-64.940833,0,-4,\"A\",\"America/St_Thomas\"\n", + "7310,\"Christiansted Harbor Seaplane Base\",\"Christiansted\",\"Virgin Islands\",\"SSB\",\\N,17.747222,-64.705,0,-4,\"A\",\"America/St_Thomas\"\n", + "7311,\"Alto Rio Senguer Airport\",\"Alto Rio Senguer\",\"Argentina\",\"ARR\",\"SAVR\",-45.016667,-70.816667,2145,-3,\"N\",\"America/Cordoba\"\n", + "7312,\"Jose de San Martin Airport\",\"Jose de San Martin\",\"Argentina\",\"JSM\",\"SAWS\",-44.016667,-70.466667,4359,-3,\"N\",\"America/Cordoba\"\n", + "7313,\"Uyuni Airport\",\"Uyuni\",\"Bolivia\",\"UYU\",\"SLUY\",-20.466667,-66.833333,11990,-4,\"U\",\"America/La_Paz\"\n", + "7314,\"Augsburg Railway\",\"Augsburg\",\"Germany\",\"ZAU\",\\N,48.3655,10.8863,500,1,\"U\",\"Europe/Berlin\"\n", + "7315,\"Mannheim Railway\",\"Mannheim\",\"Germany\",\"ZMA\",\\N,49.479633,8.469858,200,1,\"E\",\"Europe/Berlin\"\n", + "7316,\"Essen Railway\",\"Essen\",\"Germany\",\"ZES\",\\N,51.451389,7.013889,200,1,\"U\",\"Europe/Berlin\"\n", + "7317,\"Rurrenabaque Airport\",\"Rerrenabaque\",\"Bolivia\",\"RBQ\",\"SLRQ\",-14.4275,-67.498056,898,-4,\"U\",\"America/La_Paz\"\n", + "7318,\"Lancaster Amtrak Station\",\"Lancaster\",\"United States\",\"\",\\N,40.05,-76.31,345,-5,\"A\",\"America/New_York\"\n", + "7319,\"Ardmore Amtrak Station\",\"Ardmore\",\"United States\",\"\",\\N,40.01,-75.29,360,-5,\"A\",\"America/New_York\"\n", + "7320,\"Abaiang Atoll Airport\",\"Abaiang Atoll\",\"Kiribati\",\"ABF\",\"NGAB\",1.8,173.04,1,12,\"U\",\"Pacific/Tarawa\"\n", + "7321,\"Metropark Amtrak Station\",\"Iselin\",\"United States\",\"\",\\N,40.568,-74.3275,1,-5,\"A\",\"America/New_York\"\n", + "7322,\"St. Louis Downtown Airport\",\"East St. Louis\",\"United States\",\"CPS\",\\N,38.5707244,-90.1562211,413,-6,\"U\",\"America/Chicago\"\n", + "7323,\"Afobaka Airstrip\",\"Afobaka\",\"Suriname\",\"\",\"SMAF\",4.9982,-54.9919,10,-3,\"U\",\"America/Paramaribo\"\n", + "7324,\"Alalapadu Airstrip\",\"Alapadu\",\"Suriname\",\"\",\"SMDU\",2.5232,-56.3241,10,-3,\"U\",\"America/Paramaribo\"\n", + "7325,\"Albina Airstrip\",\"Albina\",\"Suriname\",\"ABN\",\"SMBN\",5.516667,-54.05,10,-3,\"U\",\"America/Paramaribo\"\n", + "7326,\"Lawa Anapaike Airstrip\",\"Anapaike\",\"Suriname\",\"\",\"SMLA\",3.416667,-54.033333,10,-3,\"U\",\"America/Paramaribo\"\n", + "7327,\"Apetina Airstrip\",\"Apetina\",\"Suriname\",\"\",\"SMPT\",3.5017,-55.0614,10,-3,\"U\",\"America/Paramaribo\"\n", + "7328,\"Botopassi Airstrip\",\"Botopasi\",\"Suriname\",\"BTO\",\\N,4.233333,-55.45,10,-3,\"U\",\"America/Paramaribo\"\n", + "7329,\"Djoemoe Airstrip\",\"Djoemoe\",\"Suriname\",\"DOE\",\\N,4.016667,-55.483333,10,-3,\"U\",\"America/Paramaribo\"\n", + "7330,\"Drietabbetje Airstrip\",\"Drietabbetje\",\"Suriname\",\"DRJ\",\"SMDA\",4.11667,-54.66667,10,-3,\"U\",\"America/Paramaribo\"\n", + "7331,\"Kabalebo Airstrip\",\"Kabalebo\",\"Suriname\",\"\",\"SMKA\",4.406,-57.223,10,-3,\"U\",\"America/Paramaribo\"\n", + "7332,\"Kayser Airstrip\",\"Kayser\",\"Suriname\",\"\",\"SMKE\",3.1,-56.483,10,-3,\"U\",\"America/Paramaribo\"\n", + "7333,\"Kwamelasemoetoe Airstrip\",\"Kwamelasemoetoe\",\"Suriname\",\"\",\"SMSM\",2.33333,-56.783333,10,-3,\"U\",\"America/Paramaribo\"\n", + "7334,\"Moengo Airstrip\",\"Moengo\",\"Suriname\",\"\",\"SMMO\",5.616667,-54.4,10,-3,\"U\",\"America/Paramaribo\"\n", + "7335,\"Majoor Henry Fernandes Airport\",\"Nieuw Nickerie\",\"Suriname\",\"ICK\",\"SMNI\",5.955556,-57.039444,9,-3,\"U\",\"America/Paramaribo\"\n", + "7336,\"Vincent Fayks Airport\",\"Paloemeu\",\"Suriname\",\"OEM\",\"SMPA\",5.811111,-55.190833,10,-3,\"U\",\"America/Paramaribo\"\n", + "7337,\"Sarakreek Airstrip\",\"Sarakreek\",\"Suriname\",\"\",\"SMSK\",4.9,-55.083333,10,-3,\"U\",\"America/Paramaribo\"\n", + "7338,\"Sipaliwini Airstrip\",\"Sipaliwini\",\"Suriname\",\"\",\"SMSI\",1.96605,-56.0035,10,-3,\"U\",\"America/Paramaribo\"\n", + "7339,\"Stoelmans Eiland Airstrip\",\"Stoelmans Eiland\",\"Suriname\",\"SMZ\",\"SMST\",4.35,-54.41667,10,-3,\"U\",\"America/Paramaribo\"\n", + "7340,\"Totness Airstrip\",\"Totness\",\"Suriname\",\"TOT\",\"SMCO\",5.865833,-56.3275,10,-3,\"U\",\"America/Paramaribo\"\n", + "7341,\"Wageningen Airstrip\",\"Wageningen\",\"Suriname\",\"AGI\",\"SMWA\",5.76667,-56.63333,10,-3,\"U\",\"America/Paramaribo\"\n", + "7342,\"Kaieteur International Airport\",\"Kaieteur Falls\",\"Guyana\",\"KIA\",\"PSKA\",5.163333,-59.483333,95,-4,\"U\",\"America/Guyana\"\n", + "7343,\"Codela Airport\",\"Guapiles\",\"Costa Rica\",\"CSC\",\"MRCA\",10.414,-85.0917,328,-6,\"U\",\"America/Costa_Rica\"\n", + "7344,\"Newport News Amtrak Station\",\"Newport News\",\"United States\",\"\",\\N,37.0228,-76.4519,0,-5,\"A\",\"America/New_York\"\n", + "7345,\"Portland Union Station\",\"Portland\",\"United States\",\"\",\\N,45.529,-122.6768,0,-8,\"A\",\"America/Los_Angeles\"\n", + "7346,\"Orinduik Airport\",\"Orinduik\",\"Guyana\",\"ORJ\",\"SYOR\",4.7,-60.016667,10,-4,\"U\",\"America/Guyana\"\n", + "7347,\"Annai Airport\",\"Annai\",\"Guyana\",\"NAI\",\"SYAN\",3.95,-59.133333,10,-4,\"U\",\"America/Guyana\"\n", + "7348,\"Apoteri Airport\",\"Apoteri\",\"Guyana\",\"\",\"SYAP\",4.033333,-58.583333,10,-4,\"U\",\"America/Guyana\"\n", + "7349,\"Imbaimadai Airport\",\"Imbaimadai\",\"Guyana\",\"IMB\",\"SYIB\",5.69252,-60.28198,10,-4,\"U\",\"America/Guyana\"\n", + "7350,\"Kamarang Airport\",\"Kamarang\",\"Guyana\",\"KAR\",\"SYKM\",5.865278,-60.614167,10,-4,\"U\",\"America/Guyana\"\n", + "7351,\"Mabaruma Airport\",\"Mabaruma\",\"Guyana\",\"USI\",\"SYMB\",8.2,-59.783333,10,-4,\"U\",\"America/Guyana\"\n", + "7352,\"Mahdia Airport\",\"Mahdia\",\"Guyana\",\"MHA\",\"SYMD\",5.266667,-59.15,10,-4,\"U\",\"America/Guyana\"\n", + "7353,\"Dr. Augusto Roberto Fuster International Airport\",\"Pedro Juan Caballero\",\"Paraguay\",\"PJC\",\"SGPJ\",-22.641389,-55.829722,1873,-4,\"U\",\"America/Asuncion\"\n", + "7354,\"Alcides Fernandez Airport\",\"Acandi\",\"Colombia\",\"ACD\",\"SKAD\",8.516667,-77.3,50,-5,\"U\",\"America/Bogota\"\n", + "7355,\"Los Colonizadores Airport\",\"Saravena\",\"Colombia\",\"RVE\",\"SKSA\",6.916667,-71.9,10,-5,\"U\",\"America/Bogota\"\n", + "7356,\"La Chorrera Airport\",\"La Chorrera\",\"Colombia\",\"LCR\",\\N,-0.733333,-73.016667,10,-5,\"U\",\"America/Bogota\"\n", + "7357,\"Batagay Airport\",\"Batagay\",\"Russia\",\"\",\"UEBB\",67.648,134.695,696,11,\"N\",\"Asia/Vladivostok\"\n", + "7358,\"La Macarena\",\"La Macarena\",\"Colombia\",\"LMC\",\\N,2.179167,-73.7875,10,-5,\"U\",\"America/Bogota\"\n", + "7359,\"Villa Garzon Airport\",\"Villa Garzon\",\"Colombia\",\"VGZ\",\"SKVG\",0.978889,-76.605556,1248,-5,\"U\",\"America/Bogota\"\n", + "7360,\"El Bagre Airport\",\"El Bagre\",\"Colombia\",\"EBG\",\"SKEB\",7.596389,-74.808889,180,-5,\"U\",\"America/Bogota\"\n", + "7361,\"Juan H. White\",\"Caucasia\",\"Colombia\",\"CAQ\",\"SKCU\",7.968333,-75.198333,174,-5,\"U\",\"America/Bogota\"\n", + "7362,\"Mandinga Airport\",\"Condoto\",\"Colombia\",\"COG\",\"SKCD\",5.071667,-76.676389,10,-5,\"U\",\"America/Bogota\"\n", + "7363,\"Golfo de Morrosquillo Airport\",\"Tolu\",\"Colombia\",\"TLU\",\"SKTL\",9.511944,-75.586389,10,-5,\"U\",\"America/Bogota\"\n", + "7364,\"Cabo Frio International Airport\",\"Cabo Frio\",\"Brazil\",\"CFB\",\"SBCB\",-22.921667,-42.074167,14,-3,\"S\",\"America/Sao_Paulo\"\n", + "7365,\"Westport Amtrak Station\",\"Westport\",\"United States\",\"\",\\N,44.1871,-73.4519,1,-5,\"A\",\"America/New_York\"\n", + "7366,\"Trenton Amtrak Station\",\"Trenton\",\"United States\",\"\",\\N,40.21889,-74.75417,1,-5,\"A\",\"America/New_York\"\n", + "7367,\"Sinop Airport\",\"Sinop\",\"Brazil\",\"OPS\",\"SWSI\",-11.885,-55.586,10,-4,\"S\",\"America/Campo_Grande\"\n", + "7368,\"Gurupi Airport\",\"Gurupi\",\"Brazil\",\"GRP\",\"SWGI\",-11.728889,-49.068889,10,-3,\"S\",\"America/Fortaleza\"\n", + "7369,\"Campo Alegre Airport\",\"Santana do Araguaia\",\"Brazil\",\"CMP\",\"SNKE\",-9.505,-50.625,525,-4,\"S\",\"America/Boa_Vista\"\n", + "7370,\"Breves Airport\",\"Breves\",\"Brazil\",\"BVS\",\"SNVS\",-1.681944,-50.48,131,-4,\"S\",\"America/Boa_Vista\"\n", + "7371,\"Soure Airport\",\"Soure\",\"Brazil\",\"SFK\",\"SNSW\",-0.716944,-48.522778,33,-4,\"S\",\"America/Boa_Vista\"\n", + "7372,\"Julio Belem Airport\",\"Parintins\",\"Brazil\",\"PIN\",\"SWPI\",-2.627778,-56.735833,500,-4,\"S\",\"America/Boa_Vista\"\n", + "7373,\"Barreiras Airport\",\"Barreiras\",\"Brazil\",\"BRA\",\"SNBR\",-12.083333,-45,1356,-3,\"S\",\"America/Fortaleza\"\n", + "7374,\"Confresa Airport\",\"Santa Terezinha\",\"Brazil\",\"STZ\",\"SWST\",-10.47,-50.502778,650,-4,\"S\",\"America/Campo_Grande\"\n", + "7375,\"Minacu Airport\",\"Minacu\",\"Brazil\",\"MQH\",\"SBMC\",-13.526944,-48.220556,1053,-3,\"S\",\"America/Sao_Paulo\"\n", + "7376,\"Araguaina Airport\",\"Araguaina\",\"Brazil\",\"AUX\",\"SWGN\",-7.228333,-48.240833,771,-3,\"S\",\"America/Fortaleza\"\n", + "7377,\"Novo Aripuana Airport\",\"Novo Aripuana\",\"Brazil\",\"NVP\",\"SWNA\",-5.121389,-60.380556,500,-4,\"S\",\"America/Boa_Vista\"\n", + "7378,\"Bom Futuro Airport\",\"Lucas do Rio Verde\",\"Brazil\",\"LVR\",\"SWFE\",-13.05,-55.910833,500,-4,\"S\",\"America/Campo_Grande\"\n", + "7379,\"Franca Airport\",\"Franca\",\"Brazil\",\"FRC\",\"SIMK\",-20.538611,-47.400833,1040,-3,\"S\",\"America/Sao_Paulo\"\n", + "7380,\"Dourados Airport\",\"Dourados\",\"Brazil\",\"DOU\",\"SSDO\",-22.220833,-54.805833,1433,-4,\"S\",\"America/Campo_Grande\"\n", + "7381,\"Labrea Airport\",\"Labrea\",\"Brazil\",\"LBR\",\"SWLB\",-7.258889,-64.797778,225,-4,\"S\",\"America/Boa_Vista\"\n", + "7382,\"Rondonopolis Airport\",\"Rondonopolis\",\"Brazil\",\"ROO\",\"SWRD\",-16.466667,-54.633333,500,-4,\"S\",\"America/Campo_Grande\"\n", + "7383,\"Tancredo Thomaz de Faria Airport\",\"Guarapuava\",\"Brazil\",\"GPB\",\"SBGU\",-25.383333,-51.45,200,-3,\"S\",\"America/Sao_Paulo\"\n", + "7384,\"Joacaba Airport\",\"Joacaba\",\"Brazil\",\"JCB\",\"SSJA\",-27.172778,-51.500833,1713,-3,\"S\",\"America/Sao_Paulo\"\n", + "7385,\"North Philadelphia Amtrak Station\",\"Philadelphia\",\"United States\",\"\",\\N,39.9969556,-75.1487722,1,-5,\"A\",\"America/New_York\"\n", + "7386,\"Aberdeen Railway Station\",\"Aberdeen\",\"United Kingdom\",\"\",\\N,57.1436,-2.0985,1,0,\"U\",\"Europe/London\"\n", + "7387,\"Glasgow Railway Station\",\"Glasgow\",\"United Kingdom\",\"\",\\N,55.8622,-4.2512,0,0,\"U\",\"Europe/London\"\n", + "7388,\"Edinburgh Waverly Station\",\"Edinburgh\",\"United Kingdom\",\"ZXE\",\\N,55.952,-3.189,0,0,\"U\",\"Europe/London\"\n", + "7389,\"Newcastle Railway Station\",\"Newcastle Upon Tyne\",\"United Kingdom\",\"\",\\N,54.9686,-1.6171,0,0,\"U\",\"Europe/London\"\n", + "7390,\"Leeds Railway Station\",\"Leeds\",\"United Kingdom\",\"\",\\N,53.794,-1.547,0,0,\"U\",\"Europe/London\"\n", + "7391,\"Manchester Picadilly Station\",\"Manchester\",\"United Kingdom\",\"\",\\N,53.477,-2.23,0,0,\"U\",\"Europe/London\"\n", + "7392,\"Liverpool Railway Station\",\"Liverpool\",\"United Kingdom\",\"\",\\N,53.405,-2.979,0,0,\"U\",\"Europe/London\"\n", + "7393,\"London Euston Railway Station\",\"London\",\"United Kingdom\",\"\",\\N,51.5284,-0.1331,0,0,\"U\",\"Europe/London\"\n", + "7394,\"General leite de Castro Airport\",\"Rio Verde\",\"Brazil\",\"RVD\",\"SWLC\",-17.790278,-50.918333,2244,-3,\"S\",\"America/Sao_Paulo\"\n", + "7395,\"Araxa Airport\",\"Araxa\",\"Brazil\",\"AAX\",\"SBAX\",-19.563056,-46.960278,3276,-3,\"S\",\"America/Sao_Paulo\"\n", + "7396,\"Maues Airport\",\"Maues\",\"Brazil\",\"MBZ\",\"SWMW\",-3.383611,-57.718611,500,-4,\"S\",\"America/Boa_Vista\"\n", + "7397,\"Borba Airport\",\"Borba\",\"Brazil\",\"RBB\",\"SWBR\",-4.387778,-59.593889,500,-4,\"S\",\"America/Boa_Vista\"\n", + "7398,\"Coari Airport\",\"Coari\",\"Brazil\",\"CIZ\",\"SWKO\",-4.085,-63.140833,33,-4,\"S\",\"America/Boa_Vista\"\n", + "7399,\"Barcelos Airport\",\"Barcelos\",\"Brazil\",\"BAZ\",\"SWBC\",-0.975,-62.923889,500,-4,\"S\",\"America/Boa_Vista\"\n", + "7400,\"Herbert Glacier\",\"Juneau\",\"United States\",\"\",\\N,58.571385,-134.607754,0,-9,\"A\",\"America/Anchorage\"\n", + "7401,\"Seattle Cruise Terminal\",\"Seattle\",\"United States\",\"\",\\N,47.615884,-122.330017,0,-8,\"A\",\"America/Los_Angeles\"\n", + "7402,\"Juneau Cruise Pier\",\"Juneau\",\"United States\",\"\",\\N,58.335451,-134.414978,0,-9,\"A\",\"America/Anchorage\"\n", + "7403,\"Skagway Cruise Pier\",\"Skagway\",\"United States\",\"\",\\N,59.470896,-135.31723,0,-9,\"A\",\"America/Anchorage\"\n", + "7404,\"Ketchikan Cruise Pier\",\"Ketchikan \",\"United States\",\"\",\\N,55.346327,-131.644707,0,-9,\"A\",\"America/Anchorage\"\n", + "7405,\"Victoria Cruise Pier\",\"Victoria\",\"Canada\",\"\",\\N,48.429144,-123.367023,0,-8,\"A\",\"America/Vancouver\"\n", + "7406,\"Diamantino Airport\",\"Diamantino\",\"Brazil\",\"DMT\",\"SWDM\",-14.408889,-56.445833,1837,-4,\"S\",\"America/Campo_Grande\"\n", + "7407,\"Guanambi Airport\",\"Guanambi\",\"Brazil\",\"GNM\",\"SNGI\",-14.216667,-42.783333,500,-3,\"S\",\"America/Fortaleza\"\n", + "7408,\"Tsletsi Airport\",\"Djelfa\",\"Algeria\",\"QDJ\",\"DAFI\",34.6657,3.351,10,1,\"U\",\"Africa/Algiers\"\n", + "7409,\"Nzagi Airport\",\"Nzagi\",\"Angola\",\"\",\"FNZG\",-7.716944,21.358056,2431,1,\"U\",\"Africa/Luanda\"\n", + "7410,\"Catoca Airport\",\"Catoca\",\"Angola\",\"\",\\N,-9.433017,20.311189,500,1,\"U\",\"Africa/Luanda\"\n", + "7411,\"Lucapa Airport\",\"Lucapa\",\"Angola\",\"LBZ\",\"FNLK\",-8.443056,20.732222,500,1,\"U\",\"Africa/Luanda\"\n", + "7412,\"Kapanda Airport\",\"Kapanda\",\"Angola\",\"KNP\",\"FNCP\",-9.771944,15.456111,500,1,\"U\",\"Africa/Luanda\"\n", + "7413,\"Am Timan Airport\",\"Am Timan\",\"Chad\",\"AMC\",\"FTTN\",11.034,20.274,1421,1,\"U\",\"Africa/Ndjamena\"\n", + "7414,\"Sharq Al-Owainat Airport\",\"Sharq Al-Owainat\",\"Egypt\",\"GSQ\",\"HEOW\",22.5806,28.7207,859,2,\"U\",\"Africa/Cairo\"\n", + "7415,\"Eastern WV Regional Airport\",\"Martinsburg\",\"United States\",\"MRB\",\"KMRB\",39.2407,-77.591,554,-5,\"A\",\"America/New_York\"\n", + "7416,\"Awasa Airport\",\"Awasa\",\"Ethiopia\",\"AWA\",\"HALA\",7.067,38.5,5149,3,\"U\",\"Africa/Addis_Ababa\"\n", + "7417,\"Jijiga Airport\",\"Jijiga\",\"Ethiopia\",\"JIJ\",\"HAJJ\",9.359722,42.7875,2000,3,\"U\",\"Africa/Addis_Ababa\"\n", + "7418,\"Mekane Salam Airport\",\"Mekane Selam\",\"Ethiopia\",\"MKS\",\"HAMA\",10.633333,38.783333,3000,3,\"U\",\"Africa/Addis_Ababa\"\n", + "7419,\"Debre Marqos\",\"Debre Marqos\",\"Ethiopia\",\"DBM\",\"HADM\",10.316667,37.733333,7440,3,\"U\",\"Africa/Addis_Ababa\"\n", + "7420,\"Debre Tabor Airport\",\"Debre Tabor\",\"Ethiopia\",\"DBT\",\"HADT\",11.966667,38,7740,3,\"U\",\"Africa/Addis_Ababa\"\n", + "7421,\"Harar Meda Airport\",\"Debre Zeyit\",\"Ethiopia\",\"QHR\",\"HAHM\",8.7163,39.0059,8850,3,\"U\",\"Africa/Addis_Ababa\"\n", + "7422,\"Robe Airport\",\"Goba\",\"Ethiopia\",\"GOB\",\"HAGB\",6.733333,44.266667,4000,3,\"U\",\"Africa/Addis_Ababa\"\n", + "7423,\"Mayumba Airport\",\"Mayumba\",\"Gabon\",\"MYB\",\"FOOY\",-3.416667,10.65,500,1,\"U\",\"Africa/Libreville\"\n", + "7424,\"Mara Serena Airport\",\"Masai Mara\",\"Kenya\",\"MRE\",\\N,-1.406111,35.008056,500,3,\"U\",\"Africa/Nairobi\"\n", + "7425,\"Lewa Airport\",\"Lewa\",\"Kenya\",\"\",\\N,0.1955,37.4699,2000,3,\"U\",\"Africa/Nairobi\"\n", + "7426,\"Mulika Lodge Airport\",\"Meru National Park\",\"Kenya\",\"\",\"HKMK\",0.230278,38.170556,2000,3,\"U\",\"Africa/Nairobi\"\n", + "7427,\"Rumbek Airport\",\"Rumbek\",\"Sudan\",\"RBX\",\"HSMK\",6.825,29.669,2000,3,\"U\",\"Africa/Juba\"\n", + "7428,\"Yei Airport\",\"Yei\",\"Sudan\",\"\",\"HSYE\",4.083,30.65,1000,3,\"U\",\"Africa/Juba\"\n", + "7429,\"Cape Palmas Airport\",\"Greenville\",\"Liberia\",\"CPA\",\"GLCP\",4.37902,-7.69695,500,0,\"U\",\"Africa/Monrovia\"\n", + "7430,\"Ambatomainty Airport\",\"Ambatomainty\",\"Madagascar\",\"AMY\",\\N,-17.1667,47.1833,500,3,\"U\",\"Indian/Antananarivo\"\n", + "7431,\"Kyoto\",\"Kyoto\",\"Japan\",\"UKY\",\\N,35.016667,135.766667,262,9,\"N\",\"Asia/Tokyo\"\n", + "7432,\"Ecuvillens Airport\",\"Ecuvillens\",\"Switzerland\",\"\",\"LSGE\",46.754997,7.076111,2293,1,\"E\",\"Europe/Zurich\"\n", + "7433,\"Andermatt\",\"Andermatt\",\"Switzerland\",\"\",\\N,46.63889,8.58889,4747,1,\"E\",\"Europe/Zurich\"\n", + "7434,\"Wohlen Airfield\",\"Wohlen bei Bern\",\"Switzerland\",\"\",\\N,46.96694,7.35806,1795,1,\"E\",\"Europe/Zurich\"\n", + "7435,\"Bazaruto Island Airport\",\"Bazaruto Island\",\"Mozambique\",\"BZB\",\\N,-21.542778,35.473056,500,2,\"U\",\"Africa/Maputo\"\n", + "7436,\"Benguera Island Airport\",\"Benguera Island\",\"Mozambique\",\"BCW\",\\N,-21.849167,35.436944,50,2,\"U\",\"Africa/Maputo\"\n", + "7437,\"Inhaca Airport\",\"Inhaca\",\"Mozambique\",\"\",\"FQIA\",-26,32.916667,500,2,\"U\",\"Africa/Maputo\"\n", + "7438,\"Indigo Bay Lodge Airport\",\"Indigo Bay Lodge\",\"Mozambique\",\"IBL\",\\N,-21.707222,35.452222,50,2,\"U\",\"Africa/Maputo\"\n", + "7439,\"Gombe Lawanti International Airport\",\"Gombe\",\"Nigeria\",\"\",\\N,9.2575,12.430278,500,1,\"U\",\"Africa/Lagos\"\n", + "7440,\"Akwa Ibom International Airport\",\"Uyo\",\"Nigeria\",\"\",\\N,5.05,7.933333,500,1,\"U\",\"Africa/Lagos\"\n", + "7441,\"Katsina Airport\",\"Katsina\",\"Nigeria\",\"\",\\N,13.007778,7.660278,50,1,\"U\",\"Africa/Lagos\"\n", + "7442,\"Ouro Sogui Airport\",\"Matam\",\"Senegal\",\"MAX\",\"GOSM\",15.593611,-13.322778,85,0,\"U\",\"Africa/Dakar\"\n", + "7443,\"Bird Island Airport\",\"Bird Island\",\"Seychelles\",\"BDI\",\"FSSB\",-3.721389,55.208611,10,4,\"U\",\\N\n", + "7444,\"K50 Airport\",\"Mogadishu\",\"Somalia\",\"\",\\N,1.999167,44.974167,500,3,\"U\",\"Africa/Mogadishu\"\n", + "7445,\"El Daein\",\"El Daein\",\"Sudan\",\"\",\\N,14,32.316667,1000,3,\"U\",\"Africa/Khartoum\"\n", + "7446,\"Wadi Halfa Airport\",\"Wadi Halfa\",\"Sudan\",\"WHF\",\"HSSW\",21.800278,31.516389,1500,3,\"U\",\"Africa/Khartoum\"\n", + "7447,\"Enfidha - Zine El Abidine Ben Ali International Airport\",\"Enfidha\",\"Tunisia\",\"NBE\",\"DTNZ\",36.075833,10.438611,500,1,\"U\",\"Africa/Tunis\"\n", + "7448,\"Kidepo Airport\",\"Kidepo\",\"Uganda\",\"\",\"HUKD\",3.719167,33.754167,3904,3,\"U\",\"Africa/Kampala\"\n", + "7449,\"Kitgum Airport\",\"Kitgum\",\"Uganda\",\"\",\"HUKT\",3.278611,32.89,2493,3,\"U\",\"Africa/Kampala\"\n", + "7450,\"Pakuba Airport\",\"Pakuba\",\"Uganda\",\"PAF\",\"HUPA\",2.3275,31.5,2297,3,\"U\",\"Africa/Kampala\"\n", + "7451,\"Svea Airport\",\"Sveagruva\",\"Svalbard\",\"\",\"ENSA\",77.9,16.683333,29,1,\"U\",\"Arctic/Longyearbyen\"\n", + "7452,\"Ny-Alesund Airport\",\"Ny-Alesund\",\"Svalbard\",\"\",\"ENAS\",78.9275,11.874167,50,1,\"U\",\"Arctic/Longyearbyen\"\n", + "7453,\"Hatay Airport\",\"Hatay\",\"Turkey\",\"HTY\",\"LTDA\",36.362778,36.282222,25,2,\"U\",\"Europe/Istanbul\"\n", + "7454,\"Kihnu Airfield\",\"Kihnu\",\"Estonia\",\"\",\"EEKU\",58.148,24.003,50,2,\"U\",\"Europe/Tallinn\"\n", + "7455,\"Ruhnu Airfield\",\"Ruhnu\",\"Estonia\",\"\",\"EERU\",57.784,23.266,50,2,\"U\",\"Europe/Tallinn\"\n", + "7456,\"Raivavae Airport\",\"Raivavae\",\"French Polynesia\",\"RVV\",\"NTAV\",-23.87,-147.67,25,-10,\"N\",\"Pacific/Tahiti\"\n", + "7457,\"Foshan\",\"Foshan\",\"China\",\"FUO\",\\N,23.133333,113.28333,8,8,\"N\",\"Asia/Chongqing\"\n", + "7458,\"Huizhou\",\"Huizhou\",\"China\",\"HUZ\",\\N,23.083332,114.36667,23,8,\"N\",\"Asia/Chongqing\"\n", + "7459,\"Lleida-Alguaire Airport\",\"Lleida\",\"Spain\",\"ILD\",\"LEDA\",41.727778,0.535833,1148,1,\"E\",\"Europe/Madrid\"\n", + "7460,\"Aeropuerto Capitan Fuentes Martinez\",\"Porvenir\",\"Chile\",\"WPR\",\\N,-53.2537,-70.319228,104,-4,\"U\",\"America/Santiago\"\n", + "7461,\"Ouessant Airport\",\"Ouessant\",\"France\",\"\",\"LFEC\",48.458056,-5.095556,25,1,\"U\",\"Europe/Paris\"\n", + "7462,\"Central Railway Station\",\"Montreal\",\"Canada\",\"YMY\",\\N,45.499722,-73.566111,0,-5,\"A\",\"America/Toronto\"\n", + "7463,\"Union Station\",\"Toronto\",\"Canada\",\"YBZ\",\\N,43.645278,-79.380556,0,-5,\"A\",\"America/Toronto\"\n", + "7464,\"Bildudalur Airport\",\"Bildudalur\",\"Iceland\",\"BIU\",\"BIBD\",65.641389,-23.546111,26,0,\"N\",\"Atlantic/Reykjavik\"\n", + "7465,\"Gjogur Airport\",\"Gjogur\",\"Iceland\",\"GJR\",\"BIGJ\",65.995278,-21.326944,98,0,\"N\",\"Atlantic/Reykjavik\"\n", + "7466,\"Saudarkrokur\",\"Saudarkrokur\",\"Iceland\",\"SAK\",\"BIKR\",65.731667,-19.572778,8,0,\"N\",\"Atlantic/Reykjavik\"\n", + "7467,\"Selfoss Airport\",\"Selfoss\",\"Iceland\",\"\",\"BISF\",63.929167,-21.037778,45,0,\"N\",\"Atlantic/Reykjavik\"\n", + "7468,\"Inishmaan Aerodrome\",\"Inishmaan\",\"Ireland\",\"IIA\",\"EIMN\",53.091944,-9.57,13,0,\"U\",\"Europe/Dublin\"\n", + "7469,\"Taldykorgan Airport\",\"Taldykorgan\",\"Kazakhstan\",\"TDK\",\"UAAT\",45.016667,78.366667,1969,6,\"U\",\"Asia/Qyzylorda\"\n", + "7470,\"Olgii Airport\",\"Olgii\",\"Mongolia\",\"ULG\",\"ZMUL\",48.991667,89.919722,5610,7,\"U\",\"Asia/Hovd\"\n", + "7471,\"Lille\",\"Lille\",\"France\",\"XDB\",\\N,50.563333,3.08805,1,1,\"U\",\"Europe/Paris\"\n", + "7472,\"Qurghonteppa International Airport\",\"Kurgan Tyube\",\"Tajikistan\",\"\",\"UTDT\",37.862222,68.862778,5000,5,\"U\",\"Asia/Dushanbe\"\n", + "7473,\"Vologda Airport\",\"Vologda\",\"Russia\",\"VGD\",\"ULWW\",59.281667,39.946667,387,4,\"N\",\"Europe/Moscow\"\n", + "7474,\"Severo-Evensk Airport\",\"Evensk\",\"Russia\",\"\",\"UHMW\",61.921667,159.23,0,12,\"N\",\"Asia/Magadan\"\n", + "7475,\"Olenyok Airport\",\"Olenyok\",\"Russia\",\"\",\"UERO\",68.514722,112.48,847,10,\"N\",\"Asia/Yakutsk\"\n", + "7476,\"Saskylakh Airport\",\"Saskylakh\",\"Russia\",\"\",\"UERS\",71.927778,114.08,500,10,\"N\",\"Asia/Yakutsk\"\n", + "7477,\"Lensk Airport\",\"Lensk\",\"Russia\",\"\",\\N,60.719444,114.931944,700,10,\"N\",\"Asia/Yakutsk\"\n", + "7478,\"Burevestnik Airport\",\"Iturup Island\",\"Russia\",\"BVV\",\\N,44.92,147.621667,79,11,\"N\",\"Asia/Vladivostok\"\n", + "7479,\"Okha Airport\",\"Okha\",\"Russia\",\"OHH\",\\N,53.583333,142.933333,100,11,\"N\",\"Asia/Vladivostok\"\n", + "7480,\"Leshukonskoye Airport\",\"Arkhangelsk\",\"Russia\",\"LDG\",\"ULAL\",64.895833,45.722778,220,4,\"N\",\"Europe/Moscow\"\n", + "7481,\"Nizhneangarsk Airport\",\"Nizhneangarsk\",\"Russia\",\"\",\"UIUN\",55.801667,109.586667,1545,9,\"N\",\"Asia/Irkutsk\"\n", + "7482,\"Taksimo Airport\",\"Taksimo\",\"Russia\",\"\",\\N,56.361667,114.93,1500,9,\"N\",\"Asia/Irkutsk\"\n", + "7483,\"Vanavara Airport\",\"Vanavara\",\"Russia\",\"\",\"UNIW\",60.355,102.31,892,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "7484,\"Aykhal Airport\",\"Aykhal\",\"Russia\",\"\",\"UERA\",65.959167,111.546389,1499,10,\"N\",\"Asia/Yakutsk\"\n", + "7485,\"Uktus Airport\",\"Yekaterinburg\",\"Russia\",\"\",\"USSK\",56.701667,60.79,643,6,\"N\",\"Asia/Yekaterinburg\"\n", + "7486,\"Baykit Airport\",\"Baykit\",\"Russia\",\"\",\"UNIB\",61.676667,96.355,853,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "7487,\"Biysk Airport\",\"Biysk\",\"Russia\",\"\",\"UNBI\",52.466667,85.35,620,7,\"N\",\"Asia/Omsk\"\n", + "7488,\"Huesca-Pirineos Airport\",\"Huesca\",\"Spain\",\"HSK\",\"LEHC\",42.080833,-0.323333,1768,1,\"U\",\"Europe/Madrid\"\n", + "7489,\"Ciudad Real Central Airport\",\"Ciudad Real\",\"Spain\",\"CQM\",\"LERL\",38.856389,-3.97,636,1,\"U\",\"Europe/Madrid\"\n", + "7490,\"Al Najaf International Airport\",\"Najaf\",\"Iraq\",\"NJF\",\"ORNI\",31.991667,44.404167,500,3,\"U\",\"Asia/Baghdad\"\n", + "7491,\"Hilversum Railway Station\",\"Hilversum\",\"Netherlands\",\"QYI\",\\N,52.226389,5.181667,3,1,\"E\",\"Europe/Amsterdam\"\n", + "7492,\"Colonsay Airport\",\"Colonsay\",\"United Kingdom\",\"CSA\",\"EGEY\",56.0575,-6.243056,44,0,\"U\",\"Europe/London\"\n", + "7493,\"Coll Airport\",\"Coll\",\"United Kingdom\",\"COL\",\\N,56.633333,-6.557222,50,0,\"U\",\"Europe/London\"\n", + "7494,\"Rock Hill York Co Bryant Airport\",\"Rock Hill\",\"United States\",\"RKH\",\"KUZA\",34.9878,-81.0572,667,-5,\"A\",\"America/New_York\"\n", + "7495,\"Allegheny County Airport\",\"Pittsburgh\",\"United States\",\"AGC\",\"KAGC\",40.3544,-79.9302,1252,-5,\"A\",\"America/New_York\"\n", + "7496,\"Cecil Field\",\"Jacksonville\",\"United States\",\"NZC\",\"KVQQ\",30.2187,-81.8767,81,-5,\"A\",\"America/New_York\"\n", + "7497,\"Fulton County Airport Brown Field\",\"Atlanta\",\"United States\",\"FTY\",\"KFTY\",33.7791,-84.5214,841,-5,\"A\",\"America/New_York\"\n", + "7498,\"Tresco Heliport\",\"Tresco\",\"United Kingdom\",\"TSO\",\"EGHT\",49.945556,-6.331389,20,0,\"U\",\"Europe/London\"\n", + "7499,\"Tarin Kowt Airport\",\"Tarin Kowt\",\"Afghanistan\",\"TII\",\"OATN\",32.605278,65.864167,3500,4.5,\"U\",\"Asia/Kabul\"\n", + "7500,\"Zaranj Airport\",\"Zaranj\",\"Afghanistan\",\"ZAJ\",\"OAZJ\",30.969167,61.866944,1581,4.5,\"U\",\"Asia/Kabul\"\n", + "7501,\"Chaghcharan Airport\",\"Chaghcharan\",\"Afghanistan\",\"CCN\",\"OACC\",34.526667,65.271667,7383,4.5,\"U\",\"Asia/Kabul\"\n", + "7502,\"Four Corners\",\"Four Corners\",\"United States\",\"\",\\N,36.998976,-109.045172,1000,-7,\"U\",\"America/Denver\"\n", + "7503,\"Fuyang Airport\",\"Fuyang\",\"China\",\"FUG\",\"ZSFY\",32.9,115.816667,500,8,\"U\",\"Asia/Chongqing\"\n", + "7504,\"Longyan Airport\",\"Longyan\",\"China\",\"LCX\",\\N,25.674167,116.746389,300,8,\"U\",\"Asia/Chongqing\"\n", + "7505,\"Baoshan Airport\",\"Baoshan\",\"China\",\"BSD\",\"ZPBS\",25.053333,99.168333,500,8,\"U\",\"Asia/Chongqing\"\n", + "7506,\"Xingyi Airport\",\"Xingyi\",\"China\",\"ACX\",\\N,25.0882,104.9587,500,8,\"U\",\"Asia/Chongqing\"\n", + "7507,\"Macau Ferry Pier\",\"Macau\",\"Macau\",\"XZM\",\\N,22.197075,113.558911,0,8,\"U\",\"Asia/Macau\"\n", + "7508,\"Liping Airport\",\"Liping\",\"China\",\"HZH\",\\N,26.206,109.039,500,8,\"U\",\"Asia/Chongqing\"\n", + "7509,\"Ocean Isle Beach Airport\",\"Ocean Isle Beach\",\"United States\",\"60J\",\\N,33.9085056,-78.4366722,32,-5,\"U\",\"America/New_York\"\n", + "7510,\"Stepanakert\",\"Stepanakert\",\"Azerbaijan\",\"\",\"UB13\",39.901439,46.787031,2001,4,\"E\",\"Asia/Baku\"\n", + "7511,\"Ohio State University Airport\",\"Columbus\",\"United States\",\"OSU\",\"KOSU\",40.0798,-83.073,905,-5,\"U\",\"America/New_York\"\n", + "7922,\"Rio Sidra\",\"Rio Sidra\",\"Panama\",\"RSI\",\\N,8.966667,-80.333336,10,-5,\"U\",\"America/Panama\"\n", + "7513,\"Addison\",\"Addison\",\"United States\",\"ADS\",\"KADS\",32.9685594,-96.8364478,644,-6,\"A\",\"America/Chicago\"\n", + "7514,\"Destin\",\"Destin\",\"United States\",\"DTS\",\"KDTS\",30.4000611,-86.4714772,23,-6,\"A\",\"America/Chicago\"\n", + "7515,\"Fort Jefferson\",\"Fort Jefferson - Dry Tortugas\",\"United States\",\"RBN\",\\N,24.61667,-82.86667,0,-5,\"A\",\"America/New_York\"\n", + "7516,\"Chernobayevka Airport\",\"Kherson\",\"Ukraine\",\"KHE\",\"UKOH\",46.6758,32.5064,148,2,\"E\",\"Europe/Kiev\"\n", + "7517,\"Ryans Creek Aerodrome\",\"Stewart Island\",\"New Zealand\",\"SZS\",\"NZRC\",-46.899693,168.101592,100,12,\"U\",\"Pacific/Auckland\"\n", + "7518,\"Assumption Island\",\"Assumption Island\",\"Seychelles\",\"\",\"FSAS\",-9.7422,46.5067,10,4,\"U\",\"Indian/Mahe\"\n", + "7519,\"Zhijiang Airport\",\"Zhijiang\",\"China\",\"HJJ\",\\N,27.441389,109.699722,1000,8,\"U\",\"Asia/Chongqing\"\n", + "7520,\"Aldabra\",\"Assumption Island\",\"Seychelles\",\"\",\\N,-9.74,46.51,100,4,\"U\",\"Indian/Mahe\"\n", + "7521,\"Yarmouth Airport\",\"Yarmouth\",\"Canada\",\"YQI\",\"CYQI\",43.8269,-66.0881,141,-4,\"A\",\"America/Halifax\"\n", + "7522,\"Kinston Regional Jetport\",\"Kinston\",\"United States\",\"ISO\",\"KISO\",35.331389,-77.608889,94,-5,\"A\",\"America/New_York\"\n", + "7523,\"First Flight Airport\",\"Kill Devil Hills\",\"United States\",\"FFA\",\"KFFA\",36.02,-75.67,13,-5,\"A\",\"America/New_York\"\n", + "7524,\"Pebble Island Airstrip\",\"Pebble Island Settlement\",\"Falkland Islands\",\"\",\\N,-51.31,-59.61,8,-3,\"S\",\"Atlantic/Stanley\"\n", + "7525,\"Sea Lion Island Landing Strip\",\"Sea Lion Island\",\"Falkland Islands\",\"\",\\N,-52.4282,-59.0777,0,-3,\"S\",\"Atlantic/Stanley\"\n", + "7526,\"Lively Settlement Airstrip\",\"Lively Island\",\"Falkland Islands\",\"\",\\N,-52.03,-58.47,0,-3,\"S\",\"Atlantic/Stanley\"\n", + "7527,\"Lincang Airport\",\"Lincang\",\"China\",\"LNJ\",\"ZPLC\",23.738333,100.025,1500,8,\"U\",\"Asia/Chongqing\"\n", + "7528,\"Wenshan Airport\",\"Wenshan\",\"China\",\"WNH\",\\N,23.375833,104.243056,1000,8,\"U\",\"Asia/Chongqing\"\n", + "7529,\"Ponta Pelada Airport\",\"Manaus\",\"Brazil\",\"PLL\",\\N,-3.14604,-59.9863,267,-4,\"S\",\"America/Boa_Vista\"\n", + "7530,\"Sao Gabriel da Cachoeira Airport\",\"Sao Gabriel da Cachoeira\",\"Brazil\",\"SJL\",\\N,-0.148056,-66.9858,251,-4,\"S\",\"America/Boa_Vista\"\n", + "7531,\"Maturaca\",\"Maturaca\",\"Brazil\",\"\",\"SWMK\",0.628269,-66.115128,354,-4,\"S\",\"America/Boa_Vista\"\n", + "7532,\"Carajas Airport\",\"Parauapebas\",\"Brazil\",\"CKS\",\"SBCJ\",-6.11781,-50.0035,2064,-4,\"S\",\"America/Boa_Vista\"\n", + "7533,\"Centro de Lancamento de Alcantara\",\"Alcantara\",\"Brazil\",\"\",\"SNCW\",-2.373,-44.396389,148,-3,\"S\",\"America/Fortaleza\"\n", + "7534,\"Cachimbo\",\"Itaituba\",\"Brazil\",\"ITB\",\\N,-4.2446,-56.00384,0,-4,\"S\",\"America/Boa_Vista\"\n", + "7535,\"Latur Airport\",\"Latur\",\"India\",\"LTU\",\\N,18.411944,76.465,1584,5.5,\"U\",\"Asia/Calcutta\"\n", + "7536,\"Matak Airport\",\"Anambas Islands\",\"Indonesia\",\"MWK\",\"WIOM\",3.348119,106.25805,10,7,\"N\",\\N\n", + "7537,\"Mainz Finthen\",\"Mainz\",\"Germany\",\"QFZ\",\\N,0,0,300,1,\"E\",\\N\n", + "7538,\"Wuerzburg\",\"Wuerzburg\",\"Germany\",\"\",\"EDFW\",51.93749,8.38257,400,1,\"E\",\"Europe/Berlin\"\n", + "7539,\"Mainz\",\"Mainz\",\"Germany\",\"QMZ\",\\N,50.00829,8.27356,360,1,\"E\",\"Europe/Berlin\"\n", + "7540,\"Berlin Gatow\",\"Berlin\",\"Germany\",\"GWW\",\\N,52.475,13.139,160,1,\"E\",\"Europe/Berlin\"\n", + "7541,\"Rheine Bentlage\",\"Rheine\",\"Germany\",\"ZPQ\",\\N,52.27656,7.43843,120,1,\"E\",\"Europe/Berlin\"\n", + "7542,\"Sao Jacinto\",\"Aveiro\",\"Portugal\",\"\",\"LPAV\",40.72222,-8.816667,26,0,\"E\",\"Europe/Lisbon\"\n", + "7543,\"Tana Toraja Airport\",\"Toraja\",\"Indonesia\",\"TTR\",\\N,-3.416667,119.916664,0,8,\"N\",\"Asia/Makassar\"\n", + "7544,\"Hopsten Air Base\",\"Hopsten\",\"Germany\",\"\",\"ETNP\",52.3387,7.54133,423,1,\"E\",\"Europe/Berlin\"\n", + "7545,\"Jose Aponte De La Torre Airport\",\"Ceiba\",\"Puerto Rico\",\"\",\"TJNR\",18.2453,-65.6434,38,-4,\"S\",\"America/Puerto_Rico\"\n", + "7546,\"Persian Gulf Airport\",\"Khalije Fars\",\"Iran\",\"PGU\",\"OIBP\",27.379444,52.7375,27,3.5,\"U\",\"Asia/Tehran\"\n", + "7547,\"Yasuj Airport\",\"Yasuj\",\"Iran\",\"YES\",\"OISY\",30.700556,51.545,5939,3.5,\"U\",\"Asia/Tehran\"\n", + "7548,\"Mosul International Airport\",\"Mosul\",\"Iraq\",\"OSB\",\"ORBM\",36.305833,43.1475,719,3,\"U\",\"Asia/Baghdad\"\n", + "7549,\"Tajima Airport\",\"Toyooka\",\"Japan\",\"TJH\",\"RJBT\",35.512778,134.786944,578,9,\"U\",\"Asia/Tokyo\"\n", + "7550,\"Amakusa Airfield\",\"Amakusa\",\"Japan\",\"AXJ\",\"RJDA\",32.482222,130.158889,340,9,\"U\",\"Asia/Tokyo\"\n", + "7551,\"Kikai Airport\",\"Kikai\",\"Japan\",\"KKX\",\"RJKI\",28.321389,129.928056,15,9,\"U\",\"Asia/Tokyo\"\n", + "7552,\"Aguni Airport\",\"Aguni\",\"Japan\",\"AGJ\",\"RORA\",26.592778,127.240278,38,9,\"U\",\"Asia/Tokyo\"\n", + "7553,\"Chongjin Airport\",\"Chongjin\",\"North Korea\",\"\",\\N,41.801389,129.855,500,9,\"U\",\"Asia/Pyongyang\"\n", + "7554,\"Haeju Airport\",\"Haeju\",\"North Korea\",\"HAE\",\\N,38.00543,125.77863,131,9,\"U\",\"Asia/Pyongyang\"\n", + "7555,\"Layang Layang Airport\",\"Layang Layang Atoll\",\"Malaysia\",\"LAC\",\\N,7.372222,113.841667,5,8,\"N\",\\N\n", + "7556,\"Donoi Airport\",\"Uliastai\",\"Mongolia\",\"\",\"ZMDN\",47.712778,96.524167,5724,8,\"U\",\"Asia/Ulaanbaatar\"\n", + "7557,\"Bulgan Airport\",\"Bulgan\",\"Mongolia\",\"UGA\",\"ZMBN\",48.854167,103.484167,3873,8,\"U\",\"Asia/Ulaanbaatar\"\n", + "7558,\"Ulaangom Airport\",\"Ulaangom\",\"Mongolia\",\"ULO\",\"ZMUG\",49.973333,92.079722,3500,7,\"U\",\"Asia/Hovd\"\n", + "7559,\"Borongan Airport\",\"Borongan\",\"Philippines\",\"BPR\",\"RPVW\",11.674167,125.478611,7,8,\"N\",\"Asia/Manila\"\n", + "7560,\"Lubang Community Airport\",\"Lubang\",\"Philippines\",\"LBX\",\"RPLU\",13.855833,121.105833,25,8,\"N\",\"Asia/Manila\"\n", + "7561,\"Bentota Airport\",\"Bentota\",\"Sri Lanka\",\"BJT\",\\N,6.416667,79.983333,100,5.5,\"U\",\"Asia/Colombo\"\n", + "7562,\"Dickwella Airport\",\"Dickwella\",\"Sri Lanka\",\"DIW\",\\N,5.966667,80.683333,100,5.5,\"U\",\"Asia/Colombo\"\n", + "7563,\"Kulob Airport\",\"Kulyab\",\"Tajikistan\",\"TJU\",\"UTDK\",37.981667,69.799444,2293,5,\"U\",\"Asia/Dushanbe\"\n", + "7564,\"Cimei Airport\",\"Cimei\",\"Taiwan\",\"CMJ\",\"RCCM\",23.266667,119.666667,63,8,\"U\",\"Asia/Taipei\"\n", + "7565,\"Dasoguz Airport\",\"Dasoguz\",\"Turkmenistan\",\"TAZ\",\"UTAT\",41.764722,59.833056,500,5,\"U\",\"Asia/Ashgabat\"\n", + "7566,\"Barrow Island Airport\",\"Barrow Island\",\"Australia\",\"BWB\",\"YBWX\",-20.798,115.406,25,8,\"U\",\"Australia/Perth\"\n", + "7567,\"Morawa Airport\",\"Morawa\",\"Australia\",\"MWB\",\\N,-29.211,116.009,899,8,\"U\",\"Australia/Perth\"\n", + "7568,\"Exmouth Airport\",\"Exmouth\",\"Australia\",\"EXM\",\\N,-21.933,114.128,50,8,\"U\",\"Australia/Perth\"\n", + "7569,\"Derby Airport\",\"Derby\",\"Australia\",\"DRB\",\"YDBY\",-17.39,123.68,26,8,\"U\",\"Australia/Perth\"\n", + "7570,\"Walgett Airport\",\"Walgett\",\"Australia\",\"WGE\",\"YWLG\",-30.0318,148.1222,439,10,\"U\",\"Australia/Sydney\"\n", + "7571,\"Bathurst Island Airport\",\"Bathurst Island\",\"Australia\",\"BRT\",\"YBTI\",-11.769167,130.619722,67,9.5,\"U\",\"Australia/Darwin\"\n", + "7572,\"Dunk Island Airport\",\"Dunk Island\",\"Australia\",\"DKI\",\"YDKI\",-17.939722,146.141944,38,10,\"U\",\"Australia/Brisbane\"\n", + "7573,\"Lizard Island Airport\",\"Lizard Island\",\"Australia\",\"LZR\",\"YLZI\",-14.673056,145.454444,40,10,\"O\",\"Australia/Brisbane\"\n", + "7574,\"Hamilton Airport\",\"Hamilton\",\"Australia\",\"HLT\",\"YHML\",-37.648889,142.065278,803,10,\"O\",\"Australia/Hobart\"\n", + "7575,\"Halls Creek Airport\",\"Halls Creek\",\"Australia\",\"HCQ\",\"YHLC\",-18.233889,127.669722,1346,8,\"U\",\"Australia/Perth\"\n", + "7576,\"Fitzroy Crossing Airport\",\"Fitzroy Crossing\",\"Australia\",\"FIZ\",\"YFTZ\",-18.178,125.591,374,8,\"U\",\"Australia/Perth\"\n", + "7577,\"Ravensthorpe Airport\",\"Ravensthorpe\",\"Australia\",\"RVT\",\"YNRV\",-33.797222,120.208056,209,8,\"U\",\"Australia/Perth\"\n", + "7578,\"Wilkins Runway\",\"Budd Coast\",\"Antarctica\",\"\",\"YWKS\",-66.689444,111.485833,2395,12,\"U\",\"Antarctica/South_Pole\"\n", + "7579,\"Provo Municipal Airport\",\"Provo\",\"United States\",\"PVU\",\"KPVU\",40.21805555,-111.72222222,4497,-7,\"A\",\"America/Denver\"\n", + "7580,\"Steamboat Springs Airport-Bob Adams Field\",\"Steamboat Springs\",\"United States\",\"SBS\",\"KSBS\",40.51625,-106.8663056,6882,-7,\"A\",\"America/Denver\"\n", + "7581,\"Delta Municipal Airport\",\"Delta\",\"United States\",\"DTA\",\"KDTA\",39.3806386,-112.5077147,4759,-7,\"A\",\"America/Denver\"\n", + "7582,\"Richfield Minicipal Airport\",\"Richfield\",\"United States\",\"RIF\",\"KRIF\",38.7364361,-112.0989444,5301,-7,\"A\",\"America/Denver\"\n", + "7583,\"Carbon County Regional-Buck Davis Field\",\"Price\",\"United States\",\"PUC\",\"KPUC\",39.609722,-110.75278,5957,-7,\"A\",\"America/Denver\"\n", + "7584,\"Los Alamos Airport\",\"Los Alamos\",\"United States\",\"LAM\",\"KLAM\",35.8798019,-106.2694153,7171,-7,\"A\",\"America/Denver\"\n", + "7585,\"Borrego Valley Airport\",\"Borrego Springs\",\"United States\",\"BXS\",\"KBXS\",33.2590278,-116.3209722,520,-8,\"A\",\"America/Los_Angeles\"\n", + "7586,\"Lake Havasu City Airport\",\"Lake Havasu City\",\"United States\",\"HII\",\"KHII\",34.5711111,-114.3582778,783,-7,\"N\",\"America/Phoenix\"\n", + "7587,\"Winslow-Lindbergh Regional Airport\",\"Winslow\",\"United States\",\"INW\",\"KINW\",35.0219167,-110.7225278,4941,-7,\"N\",\"America/Phoenix\"\n", + "7588,\"Douglas Municipal Airport\",\"Douglas\",\"United States\",\"DGL\",\"KDGL\",31.3426028,-109.5064544,4173,-7,\"N\",\"America/Phoenix\"\n", + "7589,\"Marakei Airport\",\"Marakei\",\"Kiribati\",\"MZK\",\"NGMK\",2.050278,173.266667,10,12,\"U\",\"Pacific/Tarawa\"\n", + "7590,\"Abemama Atoll Airport\",\"Abemama\",\"Kiribati\",\"AEA\",\"NGTB\",0.490833,173.828611,8,12,\"U\",\"Pacific/Tarawa\"\n", + "7591,\"Aranuka Airport\",\"Buariki\",\"Kiribati\",\"AAK\",\"NGUK\",0.185278,173.636389,6,10,\"U\",\\N\n", + "7592,\"Kuria Airport\",\"Kuria\",\"Kiribati\",\"KUC\",\"NGKT\",0.228611,173.410556,10,10,\"U\",\\N\n", + "7593,\"Arorae Island Airport\",\"Arorae\",\"Kiribati\",\"AIS\",\"NGTR\",-2.633333,179.816667,6,10,\"U\",\\N\n", + "7594,\"Tamana Airport\",\"Tamana\",\"Kiribati\",\"TMN\",\"NGTM\",-2.5,175.983333,10,12,\"U\",\"Pacific/Tarawa\"\n", + "7595,\"Beru Island Airport\",\"Beru Island\",\"Kiribati\",\"BEZ\",\"NGBR\",-1.254722,176.007222,10,10,\"U\",\\N\n", + "7596,\"Nikunau Airport\",\"Nikunau\",\"Kiribati\",\"NIG\",\"NGNU\",-1.35,176.45,10,12,\"U\",\"Pacific/Tarawa\"\n", + "7597,\"Butaritari Atoll Airport\",\"Butaritari\",\"Kiribati\",\"BBG\",\"NGTU\",3.086521,172.811465,5,12,\"U\",\"Pacific/Tarawa\"\n", + "7598,\"Makin Airport\",\"Makin\",\"Kiribati\",\"MTK\",\"NGMN\",3.383333,173,10,12,\"U\",\"Pacific/Tarawa\"\n", + "7599,\"Maiana Airport\",\"Maiana\",\"Kiribati\",\"MNK\",\"NGMA\",0.933333,173,10,10,\"U\",\\N\n", + "7600,\"Nonouti Airport\",\"Nonouti\",\"Kiribati\",\"NON\",\"NGTO\",-0.616667,174.366667,10,10,\"U\",\\N\n", + "7601,\"Tabiteuea South Airport\",\"Tabiteuea\",\"Kiribati\",\"TSU\",\"NGTS\",-1.35,174.8,10,10,\"U\",\\N\n", + "7602,\"Bosset Airport\",\"Bosset\",\"Papua New Guinea\",\"BOT\",\\N,-7.240833,141.092333,60,10,\"U\",\"Pacific/Port_Moresby\"\n", + "7603,\"Ine Airport\",\"Ine\",\"Marshall Islands\",\"IMI\",\\N,7.016667,171.483333,4,12,\"U\",\"Pacific/Majuro\"\n", + "7604,\"Tinak Airport\",\"Tinak\",\"Marshall Islands\",\"TIC\",\\N,7.133333,171.916667,4,12,\"U\",\"Pacific/Majuro\"\n", + "7605,\"Ebon Airport\",\"Ebon\",\"Marshall Islands\",\"\",\\N,4.598889,168.753056,5,12,\"U\",\"Pacific/Majuro\"\n", + "7606,\"Elenak Airport\",\"Elenak\",\"Marshall Islands\",\"EAL\",\\N,9.083333,167.333333,10,12,\"U\",\"Pacific/Majuro\"\n", + "7607,\"Lae Airport\",\"Lae\",\"Marshall Islands\",\"LML\",\\N,8.921667,166.265556,10,12,\"U\",\"Pacific/Majuro\"\n", + "7608,\"Airok Airport\",\"Airok\",\"Marshall Islands\",\"AIC\",\\N,7.1,171.233333,10,12,\"U\",\"Pacific/Majuro\"\n", + "7609,\"Enejit Airport\",\"Enejit\",\"Marshall Islands\",\"EJT\",\\N,6.040278,171.984444,10,12,\"U\",\"Pacific/Majuro\"\n", + "7610,\"Whitianga Airport\",\"Whitianga\",\"New Zealand\",\"WTZ\",\"NZWT\",-36.835833,175.700278,500,12,\"U\",\"Pacific/Auckland\"\n", + "7611,\"Takaka Aerodrome\",\"Takaka\",\"New Zealand\",\"KTF\",\"NZTK\",-40.85,172.8,500,12,\"U\",\"Pacific/Auckland\"\n", + "7612,\"Peleliu Airfield\",\"Peleliu\",\"Palau\",\"C23\",\\N,6.998333,134.232778,9,9,\"U\",\"Pacific/Palau\"\n", + "7613,\"Angaur Airstrip\",\"Angaur\",\"Palau\",\"\",\\N,6.906389,134.145,20,9,\"U\",\"Pacific/Palau\"\n", + "7614,\"Asau Airport\",\"Savai\\\\'i\",\"Samoa\",\"AAU\",\\N,-13.505,-172.627778,6,13,\"U\",\"Pacific/Apia\"\n", + "7615,\"Afutara Airport\",\"Afutara\",\"Solomon Islands\",\"AFT\",\"AGAF\",-9.183056,160.949722,5,11,\"U\",\"Pacific/Guadalcanal\"\n", + "7616,\"Ulawa Airport\",\"Ulawa\",\"Solomon Islands\",\"RNA\",\"AGAR\",-9.854722,161.979167,5,11,\"U\",\"Pacific/Guadalcanal\"\n", + "7617,\"Choiseul Bay Airport\",\"Choiseul Bay\",\"Solomon Islands\",\"CHY\",\"AGGC\",-6.711944,156.396111,5,11,\"U\",\"Pacific/Guadalcanal\"\n", + "7618,\"Santa Ana Airport\",\"Santa Ana\",\"Solomon Islands\",\"NNB\",\"AGGT\",-10.848056,162.454167,6,11,\"U\",\"Pacific/Guadalcanal\"\n", + "7619,\"Yandina Airport\",\"Yandina\",\"Solomon Islands\",\"XYA\",\"AGGY\",-9.086111,159.218889,6,11,\"U\",\"Pacific/Guadalcanal\"\n", + "7620,\"Batuna Airport\",\"Batuna\",\"Solomon Islands\",\"BPF\",\"AGBT\",-8.63,158,5,11,\"U\",\"Pacific/Guadalcanal\"\n", + "7621,\"Bartow Municipal Airport\",\"Bartow\",\"United States\",\"BOW\",\"KBOW\",27.9434,-81.7834,125,-5,\"U\",\"America/New_York\"\n", + "7622,\"Sokerkino\",\"Kostroma\",\"Russia\",\"KMW\",\"UUBD\",57.7961,41.0204,446,4,\"N\",\"Europe/Moscow\"\n", + "7623,\"Yuryevets\",\"Yuryevets\",\"Russia\",\"\",\\N,57.316667,43.1,0,4,\"N\",\"Europe/Moscow\"\n", + "7624,\"Ozerny\",\"Ozerny\",\"Russia\",\"\",\\N,52.752919,111.849,0,9,\"N\",\"Asia/Irkutsk\"\n", + "7625,\"Enkheluk\",\"Enkheluk\",\"Russia\",\"\",\\N,52.500967,107.018852,0,9,\"N\",\"Asia/Irkutsk\"\n", + "7626,\"Khakusy\",\"Khakusy\",\"Russia\",\"\",\\N,55.365,109.812,0,9,\"N\",\"Asia/Irkutsk\"\n", + "7627,\"Fitiuta Airport\",\"Fiti\\\\'uta\",\"American Samoa\",\"FTI\",\"NSFQ\",-14.216111,-169.423611,110,-11,\"U\",\"Pacific/Pago_Pago\"\n", + "7628,\"Ofu Airport\",\"Ofu\",\"American Samoa\",\"OFU\",\\N,-14.184444,-169.67,9,-11,\"U\",\"Pacific/Pago_Pago\"\n", + "7629,\"Livermore Municipal\",\"Livermore\",\"United States\",\"LVK\",\"KLVK\",37.41362,-121.49133,400,-8,\"A\",\"America/Los_Angeles\"\n", + "7630,\"MariposaYosemite\",\"Mariposa\",\"United States\",\"MPI\",\"KMPI\",37.3039,-120.0222,2454,-8,\"A\",\"America/Los_Angeles\"\n", + "8419,\"Jungseok\",\"Seogwipo\",\"South Korea\",\"\",\"RKPD\",33.399561,126.711567,1171,9,\"U\",\"Asia/Seoul\"\n", + "7633,\"Grootfontein\",\"Grootfontein\",\"Namibia\",\"GFY\",\"FYGF\",-19.602167,18.122667,4636,1,\"S\",\"Africa/Windhoek\"\n", + "7634,\"Rundu\",\"Rundu\",\"Namibia\",\"NDU\",\"FYRU\",-17.956461,19.719439,3627,1,\"S\",\"Africa/Windhoek\"\n", + "7635,\"Beppu Airport\",\"Beppu\",\"Japan\",\"BPU\",\\N,33.3,131.5333,197,9,\"N\",\"Asia/Tokyo\"\n", + "7636,\"Heron Island\",\"Heron Island\",\"Australia\",\"HRN\",\\N,-23.441667,151.911389,0,10,\"O\",\"Australia/Brisbane\"\n", + "7637,\"Lady Elliot Island\",\"Lady Elliot Island\",\"Australia\",\"LYT\",\\N,-24.113333,152.715278,0,10,\"O\",\"Australia/Brisbane\"\n", + "7638,\"Orpheus Island\",\"Orpheus Island\",\"Australia\",\"ORS\",\\N,-18.634,146.5,0,10,\"O\",\"Australia/Brisbane\"\n", + "7639,\"Paddington Station\",\"London\",\"United Kingdom\",\"QQP\",\\N,51.515833,-0.176111,0,0,\"E\",\"Europe/London\"\n", + "7640,\"Liskeard Station\",\"Liskeard\",\"United States\",\"\",\\N,50.44708,-4.46753,0,0,\"E\",\"Europe/London\"\n", + "7641,\"Port du Bloscon\",\"Roscoff\",\"France\",\"\",\\N,48.721816,-3.96395,0,1,\"E\",\"Europe/Paris\"\n", + "7642,\"Tasiilaq\",\"Angmagssalik\",\"Greenland\",\"AGM\",\"BGAM\",65.612222,-37.618333,24,-3,\"U\",\"America/Godthab\"\n", + "7643,\"Neets Bay\",\"Ketchikan\",\"United States\",\"\",\\N,55.778889,-131.601389,0,-9,\"U\",\"America/Anchorage\"\n", + "7644,\"Fraser Railroad Station\",\"Fraser BC\",\"Canada\",\"\",\\N,59.715517,-135.046692,2000,-8,\"U\",\"America/Vancouver\"\n", + "7645,\"Carcross\",\"Carcross YT\",\"Canada\",\"\",\\N,60.17463,-134.698088,2100,-8,\"U\",\"America/Vancouver\"\n", + "7646,\"Jacqueline Cochran Regional Airport\",\"Palm Springs\",\"United States\",\"TRM\",\"KTRM\",33.626666,-116.1596667,0,-8,\"A\",\"America/Los_Angeles\"\n", + "7647,\"Santa Monica Municipal Airport\",\"Santa Monica\",\"United States\",\"SMO\",\"KSMO\",34.0158333,-118.4513056,177,-8,\"A\",\"America/Los_Angeles\"\n", + "7648,\"Bermuda Dunes Airport\",\"Palm Springs\",\"United States\",\"UDD\",\"KUDD\",33.7484375,-116.2748133,73,-8,\"A\",\"America/Los_Angeles\"\n", + "7649,\"Scottsdale Airport\",\"Scottsdale\",\"United States\",\"ZSY\",\"KSDL\",33.6228889,-111.9105278,1519,-7,\"A\",\"America/Phoenix\"\n", + "7650,\"Olympia Regional Airpor\",\"Olympia\",\"United States\",\"OLM\",\"KOLM\",46.9694044,-122.9025447,209,-8,\"A\",\"America/Los_Angeles\"\n", + "7651,\"Yolo County Airport\",\"Davis-Woodland-Winters\",\"United States\",\"DWA\",\"KDWA\",38.5793889,-121.8569444,100,-8,\"A\",\"America/Los_Angeles\"\n", + "7652,\"Garfield County Regional Airport\",\"Rifle\",\"United States\",\"RIL\",\"KRIL\",39.5263056,-107.7269444,5548,-7,\"A\",\"America/Denver\"\n", + "7653,\"Shively Field Airport\",\"SARATOGA\",\"United States\",\"SAA\",\"KSAA\",41.4448594,-106.8235264,7012,-7,\"A\",\"America/Denver\"\n", + "7654,\"Dekalb-Peachtree Airport\",\"Atlanta\",\"United States\",\"PDK\",\"KPDK\",33.8756111,-84.3019722,1003,-5,\"A\",\"America/New_York\"\n", + "7655,\"Monroe County Airport\",\"Bloomington\",\"United States\",\"BMG\",\"KBMG\",39.1460208,-86.6166805,846,-5,\"A\",\"America/New_York\"\n", + "7656,\"Witham Field Airport\",\"Stuart\",\"United States\",\"SUA\",\"KSUA\",27.1816996,-80.221294,16,-5,\"A\",\"America/New_York\"\n", + "7657,\"Morristown Municipal Airport\",\"Morristown\",\"United States\",\"MMU\",\"KMMU\",40.79935,-74.4148747,187,-5,\"A\",\"America/New_York\"\n", + "7658,\"Napa County Airport\",\"Napa\",\"United States\",\"APC\",\"KAPC\",38.2131944,-122.2806944,35,-8,\"A\",\"America/Los_Angeles\"\n", + "7659,\"Brown Field Municipal Airport\",\"San Diego\",\"United States\",\"SDM\",\"KSDM\",32.5722722,-116.9801611,526,-8,\"A\",\"America/Los_Angeles\"\n", + "7660,\"Wangen-Lachen\",\"Wangen-Lachen\",\"Switzerland\",\"\",\"LSPV\",47.204805,8.866834,1335,1,\"U\",\"Europe/Zurich\"\n", + "7661,\"Pahokee Airport\",\"Pahokee\",\"United States\",\"PHK\",\\N,26.789,-80.692,18,-5,\"A\",\"America/New_York\"\n", + "7662,\"Venice Municipal\",\"Venice\",\"United States\",\"\",\"KVNC\",27.42439,-82.262364,18,-5,\"A\",\"America/New_York\"\n", + "7663,\"Pahokee\",\"Pahokee\",\"United States\",\"\",\"KPHK\",26.471041,-80.413591,15,-5,\"A\",\"America/New_York\"\n", + "7664,\"Kineshma\",\"Kineshma\",\"Russia\",\"KIE\",\\N,57.45000001,42.15000001,420,4,\"N\",\"Europe/Moscow\"\n", + "7665,\"Nezhitino\",\"Nezhitino\",\"Russia\",\"NEZ\",\\N,57.479444454444,43.29750001,400,4,\"N\",\"Europe/Moscow\"\n", + "7666,\"Glasgow Buchanan Bus Station\",\"Glasgow\",\"United Kingdom\",\"\",\\N,55.8652,-4.25033,0,0,\"E\",\"Europe/London\"\n", + "7667,\"London Victoria Bus Station\",\"London\",\"United Kingdom\",\"\",\\N,51.494999,-0.144643,0,0,\"E\",\"Europe/London\"\n", + "7668,\"Machu Pichu Airport\",\"Machu Pichu\",\"Peru\",\"MFT\",\\N,-13.1167,-72.5667,9500,-5,\"S\",\"America/Lima\"\n", + "7669,\"Panama City-NW Florida Bea.\",\"Panama City\",\"United States\",\"ECP\",\"KECP\",30.3417,-85.7973,69,-6,\"A\",\"America/Chicago\"\n", + "7670,\"San Bernardino International Airport\",\"San Bernardino\",\"United States\",\"SBD\",\"KSBD\",34.0953521,-117.2348722,1159,-8,\"A\",\"America/Los_Angeles\"\n", + "7671,\"Valenca Airport\",\"Valenca\",\"Brazil\",\"VAL\",\"SNVB\",-13.2965,-38.9924,21,-3,\"S\",\"America/Fortaleza\"\n", + "7672,\"Dix Sept Rosado Airport\",\"Mossoro\",\"Brazil\",\"MVF\",\"SBMW\",-5.20192,-37.3643,76,-3,\"S\",\"America/Fortaleza\"\n", + "7673,\"Caruaru Airport\",\"Caruaru\",\"Brazil\",\"CAU\",\"SNRU\",-8.28239,-36.0135,1891,-3,\"S\",\"America/Fortaleza\"\n", + "7674,\"Wake Island Afld\",\"Wake island\",\"Wake Island\",\"AWK\",\"PWAK\",19.282067,166.636444,14,12,\"U\",\"Pacific/Wake\"\n", + "7675,\"Aeroclube de Nova Iguacu\",\"Nova Iguacu\",\"Brazil\",\"QNV\",\"SDNY\",-22.7453,-43.4603,164,-3,\"S\",\"America/Sao_Paulo\"\n", + "7676,\"Gare du Nord\",\"Paris\",\"France\",\"XPG\",\\N,48.880931,2.355323,423,1,\"E\",\"Europe/Paris\"\n", + "7677,\"Gare Montparnasse\",\"Paris\",\"France\",\"XGB\",\\N,48.84,2.318611,423,1,\"E\",\"Europe/Paris\"\n", + "7678,\"Saint-Pierre-des-Corps\",\"Tours\",\"France\",\"XSH\",\\N,47.385626,0.723347,159,1,\"E\",\"Europe/Paris\"\n", + "7679,\"Darsena Norte\",\"Buenos Aires\",\"Argentina\",\"\",\\N,-34.5978,-58.367841,46,-3,\"N\",\"America/Cordoba\"\n", + "7680,\"Casa Central\",\"Montevideo\",\"Uruguay\",\"\",\\N,-34.90278,-56.213781,105,-3,\"S\",\"America/Montevideo\"\n", + "7681,\"Puerto Franco\",\"Colonia del Sacramento\",\"Uruguay\",\"\",\\N,-34.4741,-57.843427,89,-3,\"S\",\"America/Montevideo\"\n", + "7682,\"Tres Cruces\",\"Montevideo\",\"Uruguay\",\"\",\\N,-34.893891,-56.166589,141,-3,\"S\",\"America/Montevideo\"\n", + "7683,\"San Carlos Airport\",\"San Carlos\",\"United States\",\"SQL\",\"KSQL\",37.511944,-122.249444,5,-8,\"A\",\"America/Los_Angeles\"\n", + "7684,\"Courtelary \",\"Courtelary \",\"Switzerland\",\"\",\"LSZJ\",47.18611,7.15833,2250,1,\"E\",\"Europe/Zurich\"\n", + "7685,\"Koszalin - Zegrze Pomorskie Airport\",\"Koszalin\",\"Poland\",\"OSZ\",\"EPKO\",54.041,16.266,111,1,\"E\",\"Europe/Warsaw\"\n", + "7686,\"Ntswi Island\",\"Okavango Delta\",\"Botswana\",\"\",\"FBCO\",-19.531109,23.09092,3000,2,\"U\",\"Africa/Gaborone\"\n", + "7687,\"Dujiangyan\",\"Dujiangyan\",\"China\",\"\",\\N,30.998584,103.619673,2385,8,\"N\",\"Asia/Chongqing\"\n", + "7688,\"Maiwa\",\"Maiwa\",\"China\",\"\",\\N,33.058044,102.908775,11500,8,\"N\",\"Asia/Chongqing\"\n", + "7689,\"Lelystad Airport\",\"Lelystad\",\"Netherlands\",\"LEY\",\\N,52.4603,5.52722,12,1,\"E\",\"Europe/Amsterdam\"\n", + "7690,\"Rocky Mount Wilson Regional Airport\",\"Rocky Mount\",\"United States\",\"RWI\",\"KRWI\",35.8563,-77.8919,159,-5,\"A\",\"America/New_York\"\n", + "7691,\"Whittier Airport\",\"Whittier\",\"United States\",\"\",\"PAWR\",60.7772125,-148.7215775,30,-9,\"U\",\"America/Anchorage\"\n", + "7692,\"Soldotna Airport\",\"Soldotna\",\"United States\",\"SXQ\",\\N,60.4749583,-151.0382389,113,-9,\"U\",\"America/Anchorage\"\n", + "7693,\"Gillespie\",\"El Cajon\",\"United States\",\"SEE\",\"KSEE\",32.8262222,-116.9724444,388,-8,\"A\",\"America/Los_Angeles\"\n", + "7694,\"San Clemente Island Nalf\",\"San Clemente Island\",\"United States\",\"\",\"KNUC\",33.022744,-118.588489,184,-8,\"A\",\"America/Los_Angeles\"\n", + "7695,\"Cotopaxi International Airport\",\"Latacunga\",\"Ecuador\",\"LTX\",\\N,-0.5425,-78.3657,9205,-5,\"S\",\"America/Guayaquil\"\n", + "7696,\"London St Pancras\",\"London\",\"United Kingdom\",\"STP\",\\N,51.53,-0.125,0,0,\"E\",\"Europe/London\"\n", + "7697,\"Amsterdam Centraal\",\"Amsterdam\",\"Netherlands\",\"ZYA\",\\N,52.378333,4.9,0,1,\"E\",\"Europe/Amsterdam\"\n", + "7698,\"Mammy Yoko Heliport\",\"Freetown\",\"Sierra Leone\",\"JMY\",\\N,8.490278,-13.289722,0,0,\"N\",\"Africa/Freetown\"\n", + "7699,\"Shearwater Heliport\",\"Victoria Falls\",\"Zimbabwe\",\"\",\\N,-17.911443,25.828167,3937,2,\"U\",\"Africa/Harare\"\n", + "7700,\"Phan Rang Airport\",\"Phan Rang\",\"Vietnam\",\"PHA\",\"VVPR\",11.6335,108.952,101,7,\"N\",\"Asia/Saigon\"\n", + "7701,\"Na-San Airport\",\"Son-La\",\"Vietnam\",\"SQH\",\"VVNS\",21.217,104.033,2133,7,\"N\",\"Asia/Saigon\"\n", + "7702,\"Truckee-Tahoe Airport\",\"Truckee\",\"United States\",\"TKF\",\"KTRK\",39.3200422,-120.1395628,5900,-8,\"A\",\"America/Los_Angeles\"\n", + "7703,\"Frejus Saint Raphael\",\"Frejus\",\"France\",\"FRJ\",\"LFTU\",43.416667,6.733333,7,1,\"E\",\"Europe/Paris\"\n", + "7704,\"Geelong Airport\",\"Geelong\",\"Australia\",\"GEX\",\"YGLG\",-38.225,144.333,43,10,\"O\",\"Australia/Hobart\"\n", + "7705,\"Detroit Amtrak Station\",\"Detroit\",\"United States\",\"\",\\N,42.368097,-83.072397,630,-5,\"A\",\"America/New_York\"\n", + "7706,\"Ventura Amtrak\",\"Ventura\",\"United States\",\"\",\\N,34.27833,-119.29222,59,-8,\"A\",\"America/Los_Angeles\"\n", + "7707,\"Berlin Hauptbahnhof\",\"Berlin\",\"Germany\",\"QPP\",\\N,52.52493,13.36963,110,1,\"E\",\"Europe/Berlin\"\n", + "7708,\"Amsterdam Centraal\",\"Amsterdam\",\"Netherlands\",\"ZYA\",\\N,52.7873,4.90074,0,1,\"E\",\"Europe/Amsterdam\"\n", + "8169,\"Moultrie Municipal Airport\",\"Moultrie\",\"United States\",\"MGR\",\\N,31.0849167,-83.80325,294,-5,\"A\",\"America/New_York\"\n", + "7710,\"Mezen\",\"Mezen\",\"Russia\",\"\",\"ULAE\",65.878333,44.215,46,4,\"N\",\"Europe/Moscow\"\n", + "7711,\"Vaskovo\",\"Arkhangelsk\",\"Russia\",\"\",\"ULAH\",64.441667,40.421667,8,4,\"N\",\"Europe/Moscow\"\n", + "7712,\"Cobb County Airport-Mc Collum Field\",\"Atlanta\",\"United States\",\"RYY\",\"KRYY\",34.0131569,-84.5970556,1041,-5,\"A\",\"America/New_York\"\n", + "7713,\"Oneonta Municipal Airport\",\"Oneonta\",\"United States\",\"ONH\",\\N,42.524722,-75.064444,1763,-5,\"A\",\"America/New_York\"\n", + "7714,\"Tulln \",\"Tulln\",\"Austria\",\"\",\"LOXT\",48.318961,16.114275,575,1,\"U\",\"Europe/Vienna\"\n", + "7715,\"Wideawake Field\",\"Georgetown Acension Island Santa Helena\",\"United Kingdom\",\"ASI\",\\N,-7.969597,-14.393664,278,0,\"U\",\"Atlantic/St_Helena\"\n", + "7716,\"Dell Flight Strip\",\"Dell\",\"United States\",\"4U9\",\"K4U9\",44.7357483,-112.7200133,6007,-7,\"A\",\"America/Denver\"\n", + "7717,\"Mission Field Airport\",\"Livingston-Montana\",\"United States\",\"LVM\",\"KLVM\",45.6993889,-110.4483056,4660,-7,\"A\",\"America/Denver\"\n", + "7718,\"Kota Kinabalu Airport\",\"Kota Kinabalu\",\"Malaysia\",\"ZWR\",\\N,11.1111,11.1111,1,1,\"N\",\"Africa/Lagos\"\n", + "7719,\"Valetta Waterfront\",\"Valetta\",\"Malta\",\"\",\\N,35.889867,14.508584,0,1,\"E\",\"Europe/Malta\"\n", + "7720,\"Big Timber Airport\",\"Big Timber\",\"United States\",\"6S0\",\"K6S0\",45.8063889,-109.9811111,4492,-7,\"A\",\"America/Denver\"\n", + "7721,\"Tulip City Airport\",\"Holland\",\"United States\",\"BIV\",\"KBIV\",42.7427778,-86.1078333,698,-5,\"A\",\"America/New_York\"\n", + "7722,\"London Heliport\",\"London\",\"United Kingdom\",\"\",\"EGLW\",51.47,-0.177833,18,0,\"E\",\"Europe/London\"\n", + "7723,\"San Nicolo Airport\",\"Venice\",\"Italy\",\"\",\"LIPV\",45.4283,12.3881,13,1,\"E\",\"Europe/Rome\"\n", + "7724,\"Tallinn Linnahall Heliport\",\"Tallinn\",\"Estonia\",\"\",\"EECL\",59.4486,24.7532,23,2,\"E\",\"Europe/Tallinn\"\n", + "7725,\"Hernesaari Heliport\",\"Helsinki\",\"Finland\",\"HEN\",\"EFHE\",60.1478,24.9244,7,2,\"E\",\"Europe/Helsinki\"\n", + "7726,\"Linkenheim Airport\",\"Linkenheim\",\"Germany\",\"\",\"EDRI\",49.1417,8.39472,325,1,\"E\",\"Europe/Berlin\"\n", + "7727,\"Monument Valley Airport\",\"Monument Valley\",\"United States\",\"\",\"UT25\",37.0167,-110.201,5192,-7,\"U\",\"America/Denver\"\n", + "7728,\"Hilversum Airport\",\"Hilversum\",\"Netherlands\",\"\",\"EHHV\",52.1919,5.14694,3,1,\"E\",\"Europe/Amsterdam\"\n", + "7729,\"West 30th St. Heliport\",\"New York\",\"United States\",\"JRA\",\"KJRA\",40.7545,-74.0071,7,-5,\"A\",\"America/New_York\"\n", + "7730,\"Texel Airport\",\"Texel\",\"Netherlands\",\"\",\"EHTX\",53.1153,4.83361,2,1,\"E\",\"Europe/Amsterdam\"\n", + "7731,\"La Cerdanya\",\"Das i Fontanals de Cerdanya\",\"Spain\",\"\",\"LECD\",42.3864,1.8667,3586,1,\"E\",\"Europe/Madrid\"\n", + "7732,\"Lakeland Linder Regional Airport\",\"Lakeland\",\"United States\",\"LAL\",\"KLAL\",27.9889167,-82.0185556,142,-5,\"A\",\"America/New_York\"\n", + "7733,\"Valetta Grand Harbour\",\"Valetta\",\"Malta\",\"\",\\N,14.507392,35.888695,0,3,\"E\",\"Africa/Khartoum\"\n", + "7734,\"Mgarr Seaplane Base\",\"Mgarr\",\"Malta\",\"\",\\N,36.0245,14.298359,0,1,\"E\",\"Europe/Malta\"\n", + "7735,\"Bangkok\",\"Bangkok\",\"Thailand\",\"\",\\N,13.9126,100.607,9,7,\"U\",\"Asia/Bangkok\"\n", + "7737,\"Jebel Ali Seaplane Base\",\"Jebel Ali Golf Resort\",\"United Arab Emirates\",\"\",\\N,24.988951,55.023624,0,4,\"U\",\"Asia/Dubai\"\n", + "7736,\"Soneva Fushi\",\"Baa Atoll\",\"Maldives\",\"\",\\N,5.113033,73.080288,0,5,\"U\",\"Indian/Maldives\"\n", + "7738,\"Stary Oskol\",\"Stary Oskol\",\"Russia\",\"\",\"UUOS\",51.33,37.76833,791,4,\"N\",\"Europe/Moscow\"\n", + "7739,\"Savona Cruise Terminal\",\"Savona\",\"Italy\",\"\",\\N,44.309654,8.486305,0,1,\"E\",\"Europe/Rome\"\n", + "7740,\"Barcelona Cruise Terminal\",\"Barcelona\",\"Spain\",\"\",\\N,41.358901,2.178447,0,1,\"E\",\"Europe/Madrid\"\n", + "7741,\"Casablanca Harbor\",\"Casablanca\",\"Morocco\",\"\",\\N,33.604737,-7.611337,0,0,\"U\",\"Africa/Casablanca\"\n", + "7742,\"Lanzarote Arrecife Cruise Terminal\",\"Arrecife Lanzarote\",\"Spain\",\"\",\\N,28.967298,-13.527528,0,0,\"E\",\"Atlantic/Canary\"\n", + "7743,\"Tenerife Cruise Terminal\",\"Santa Cruz de Tenerife\",\"Spain\",\"\",\\N,28.470068,-16.242471,0,0,\"E\",\"Atlantic/Canary\"\n", + "7744,\"Funchal Cruise Terminal\",\"Funchal Madeira\",\"Portugal\",\"\",\\N,32.641868,-16.911478,0,0,\"E\",\"Europe/Lisbon\"\n", + "7745,\"Malaga Cruise Terminal\",\"Malaga\",\"Spain\",\"\",\\N,36.702989,-4.41395,0,1,\"E\",\"Europe/Madrid\"\n", + "7746,\"Ponta Delgada Cruise Terminal\",\"Ponta Delgada Acores\",\"Portugal\",\"\",\\N,37.738409,-25.662539,0,-1,\"U\",\"Atlantic/Azores\"\n", + "7747,\"Vigo Cruise Terminal\",\"Vigo\",\"Spain\",\"\",\\N,42.241537,-8.728799,0,1,\"E\",\"Europe/Madrid\"\n", + "7748,\"Fort Lauderdale Cruise Terminal\",\"Fort Lauderdale\",\"United States\",\"\",\\N,26.0882,-80.115373,0,-5,\"A\",\"America/New_York\"\n", + "7749,\"Southampton Cruise Terminal\",\"Southampton\",\"United Kingdom\",\"\",\\N,50.900976,-1.413975,0,0,\"E\",\"Europe/London\"\n", + "7750,\"Miami Cruise Terminal\",\"Miami\",\"United States\",\"\",\\N,25.779701,-80.177279,0,-5,\"A\",\"America/New_York\"\n", + "7751,\"Nassau Cruise Terminal\",\"Nassau\",\"Bahamas\",\"\",\\N,25.081158,-77.341207,0,-5,\"A\",\"America/Nassau\"\n", + "7752,\"Lisbon Cruise Terminal\",\"Lisbon\",\"Portugal\",\"\",\\N,38.712606,-9.122483,0,0,\"E\",\"Europe/Lisbon\"\n", + "7753,\"Cadiz Cruise Terminal\",\"Cadiz\",\"Spain\",\"\",\\N,36.534821,-6.290649,0,1,\"E\",\"Europe/Madrid\"\n", + "7754,\"Marseille Cruise Terminal\",\"Marseille\",\"France\",\"\",\\N,43.343969,5.333025,0,1,\"E\",\"Europe/Paris\"\n", + "7755,\"Los Angeles San Pedro Cruise Terminal\",\"Los Angeles\",\"United States\",\"\",\\N,33.747198,-118.276856,0,-8,\"A\",\"America/Los_Angeles\"\n", + "7756,\"Kailua Kona Harbor\",\"Kailua Kona Hawaii\",\"United States\",\"\",\\N,19.635393,-155.998328,0,-10,\"A\",\"Pacific/Honolulu\"\n", + "7757,\"Kauai Cruise Terminal Nawiliwili\",\"Nawiliwili Kauai Hawaii\",\"United States\",\"\",\\N,21.954549,-159.355981,0,-10,\"A\",\"Pacific/Honolulu\"\n", + "7758,\"Hilo Cruise Terminal Hawaii\",\"Hilo Hawaii\",\"United States\",\"\",\\N,19.730967,-155.054094,0,-10,\"A\",\"Pacific/Honolulu\"\n", + "7759,\"Honolulu Cruise Terminal Oahu\",\"Honolulu Oahu\",\"United States\",\"\",\\N,21.301185,-157.865671,0,-10,\"A\",\"Pacific/Honolulu\"\n", + "7760,\"Lahaina Harbor Maui Hawaii\",\"Lahaina Maui Hawaii\",\"United States\",\"\",\\N,20.876456,-156.683235,0,-10,\"A\",\"Pacific/Honolulu\"\n", + "7761,\"Ensenada Cruise Terminal\",\"Ensenada\",\"Mexico\",\"\",\\N,31.855945,-116.624186,0,-8,\"A\",\"America/Tijuana\"\n", + "7762,\"Nanaimo Train Station\",\"Nanaimo Station British Columbia\",\"Canada\",\"\",\\N,49.163978,-123.942502,92,-8,\"A\",\"America/Vancouver\"\n", + "7763,\"Victoria Rail Station British Columbia\",\"Victoria Station British Columbia\",\"Canada\",\"\",\\N,48.428339,-123.370618,75,-8,\"A\",\"America/Vancouver\"\n", + "7764,\"Vancouver Cruise Terminal\",\"Vancouver BC\",\"Canada\",\"\",\\N,49.289012,-123.111463,0,-8,\"A\",\"America/Vancouver\"\n", + "7765,\"Seattle Cruise Terminal\",\"Seattle WA\",\"United States\",\"\",\\N,47.611241,-122.350026,0,-8,\"A\",\"America/Los_Angeles\"\n", + "7766,\"Syangboche\",\"Syangboche\",\"Nepal\",\"SYH\",\"VNSB\",27.811187,86.712661,12309,5.75,\"N\",\"Asia/Katmandu\"\n", + "7767,\"Idlewild Intl\",\"New York\",\"United States\",\"IDL\",\"KIDL\",40.639751,-73.778924,13,-5,\"A\",\"America/New_York\"\n", + "7768,\"Cheremshanka\",\"Krasnoyarsk\",\"Russia\",\"\",\"UNKM\",56.179,92.54265,1000,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "7769,\"French Valley Airport\",\"Murrieta-Temecula\",\"United States\",\"RBK\",\"KF70\",33.5741791,-117.1284732,1350,-8,\"A\",\"America/Los_Angeles\"\n", + "7770,\"Anchorage Main Station\",\"Anchorage Alaska\",\"United States\",\"\",\\N,61.221749,-149.890852,102,-9,\"A\",\"America/Anchorage\"\n", + "7771,\"Seward Train Station\",\"Seward Alaska\",\"United States\",\"\",\\N,60.121586,-149.439983,22,-9,\"A\",\"America/Anchorage\"\n", + "7772,\"Fenosu\",\"Oristano\",\"Italy\",\"FNU\",\"LIER\",39.895,8.6383,36,1,\"E\",\"Europe/Rome\"\n", + "7773,\"White Waltham Airfield\",\"Maidenhead\",\"United Kingdom\",\"\",\"EGLM\",51.501,-0.774,133,0,\"E\",\"Europe/London\"\n", + "7774,\"Mysore Airport\",\"Mysore\",\"India\",\"MYQ\",\"VOMY\",12.3072,76.6497,2349,5.5,\"U\",\"Asia/Calcutta\"\n", + "7775,\"Erie-Ottawa Regional Airport\",\"Port Clinton\",\"United States\",\"PCW\",\"KPCW\",41.5162703,-82.8694868,590,-5,\"U\",\"America/New_York\"\n", + "7776,\"Dayton-Wright Brothers Airport\",\"Dayton\",\"United States\",\"MGY\",\"KMGY\",39.5889722,-84.2248611,957,-5,\"U\",\"America/New_York\"\n", + "7777,\"Richmond Municipal Airport\",\"Richmond\",\"United States\",\"RID\",\"KRID\",39.7561006,-84.8427175,1140,-5,\"U\",\"America/New_York\"\n", + "7778,\"Findlay Airport\",\"Findley\",\"United States\",\"FDY\",\"KFDY\",41.0120278,-83.6686111,819,-5,\"U\",\"America/New_York\"\n", + "7779,\"Niagara Falls Station\",\"Niagara Falls\",\"Canada\",\"\",\"NIAG\",43.108802,-79.06361,0,-5,\"A\",\"America/New_York\"\n", + "7860,\"Deputatsky\",\"Deputatsky\",\"Russia\",\"\",\"UEVD\",69.293,139.5357,951,11,\"N\",\"Asia/Vladivostok\"\n", + "7780,\"Burlington Airpark\",\"Burlington\",\"Canada\",\"\",\"CZBA\",43.4425,-79.850833,602,-5,\"A\",\"America/Toronto\"\n", + "7781,\"Baganara Island\",\"Baganara\",\"Guyana\",\"\",\\N,6.343791,-58.591204,38,-4,\"N\",\"America/Guyana\"\n", + "7782,\"Penneshaw Airport\",\"Penneshaw\",\"Australia\",\"PEA\",\"YPSH\",-34.75,137.933,0,9.5,\"O\",\"Australia/Adelaide\"\n", + "7783,\"Matamanoa Helipad\",\"Matamanoa\",\"Fiji\",\"\",\\N,-17.638056,177.066944,10,12,\"U\",\"Pacific/Fiji\"\n", + "7784,\"Kaufbeuren BF\",\"Kaufbeuren\",\"Germany\",\"KFX\",\"KAUF\",47.885,10.6294,1200,1,\"E\",\"Europe/Berlin\"\n", + "7785,\"Munich HBF\",\"Munich\",\"Germany\",\"MUQ\",\"MUNI\",48.1408,11.555,1200,1,\"E\",\"Europe/Berlin\"\n", + "7786,\"Nurnberg HBF\",\"Nurnberg\",\"Germany\",\"NUR\",\"NURN\",49.446,11.081944,1200,1,\"E\",\"Europe/Berlin\"\n", + "7787,\"Ebenhofen BF\",\"Ebenhofen\",\"Germany\",\"EBE\",\"EBEN\",47.824,10.623,1200,1,\"E\",\"Europe/Berlin\"\n", + "7788,\"Augsburg HBF\",\"Augsburg\",\"Germany\",\"AUB\",\"AUGS\",48.3655,10.886,1200,1,\"E\",\"Europe/Berlin\"\n", + "7789,\"Biessenhofen BF\",\"Biessenhofen\",\"Germany\",\"BIE\",\"BIES\",47.851,10.634,1200,1,\"E\",\"Europe/Berlin\"\n", + "7790,\"Buchloe BF\",\"Buchloe\",\"Germany\",\"BUH\",\"BUCH\",48.0411,10.715,1200,1,\"E\",\"Europe/Berlin\"\n", + "7791,\"Fussen BF\",\"Fussen\",\"Germany\",\"FUX\",\"FUSN\",47.585,10.6866,1200,1,\"E\",\"Europe/Berlin\"\n", + "7792,\"Kempten HBF\",\"Kempten\",\"Germany\",\"KEX\",\"KEMP\",47.724,10.311,1200,1,\"E\",\"Europe/Berlin\"\n", + "7793,\"Aiome\",\"Aiome\",\"Papua New Guinea\",\"AIE\",\\N,-5.8,144.44,350,10,\"U\",\"Pacific/Port_Moresby\"\n", + "7794,\"Simbai\",\"Simbai\",\"Papua New Guinea\",\"SIM\",\\N,-4,144,5450,10,\"U\",\"Pacific/Port_Moresby\"\n", + "7795,\"Ambunti\",\"Ambunti\",\"Papua New Guinea\",\"AUJ\",\\N,-4.15,142.51,160,10,\"U\",\"Pacific/Port_Moresby\"\n", + "7796,\"Gunns Camp\",\"Okavango\",\"Botswana\",\"\",\\N,-19.52666,23.14944,0,2,\"U\",\"Africa/Gaborone\"\n", + "7797,\"Sossusvlei\",\"Sossusvlei\",\"Namibia\",\"\",\\N,-24.489444,15.815278,0,1,\"S\",\"Africa/Windhoek\"\n", + "7798,\"Marktoberdorf BF\",\"Marktoberdorf\",\"Germany\",\"OAL\",\"MARK\",47.78,10.627,1200,1,\"E\",\"Europe/Berlin\"\n", + "7799,\"Marktoberdorf Schule\",\"Marktoberdorf\",\"Germany\",\"MOS\",\"MARO\",47.777,10.623,1200,1,\"E\",\"Europe/Berlin\"\n", + "7800,\"Essen HBF\",\"Essen\",\"Germany\",\"ESX\",\"ESSE\",51.451389,7.0138,1000,1,\"E\",\"Europe/Berlin\"\n", + "7801,\"Bochum HBF\",\"Bochum\",\"Germany\",\"BOX\",\"BOCH\",51.478506,7.2222,1000,1,\"E\",\"Europe/Berlin\"\n", + "7802,\"Koln HBF\",\"Koln\",\"Germany\",\"KOX\",\"KOLN\",50.9425,6.958056,1000,1,\"E\",\"Europe/Berlin\"\n", + "7803,\"Mannheim HBF\",\"Mannheim\",\"Germany\",\"\",\\N,49.471,8.469858,1000,1,\"E\",\"Europe/Berlin\"\n", + "7804,\"Booker\",\"Wycombe\",\"United Kingdom\",\"\",\"EGTB\",51.611667,-0.808056,520,0,\"E\",\"Europe/London\"\n", + "7805,\"Bembridge\",\"Bembridge\",\"United Kingdom\",\"BBP\",\"EGHJ\",50.677778,-1.109444,53,0,\"E\",\"Europe/London\"\n", + "7806,\"Kings County Municipal Airport\",\"Waterville\",\"Canada\",\"\",\"CCW3\",45.0519,-64.6517,119,-4,\"A\",\"America/Halifax\"\n", + "7807,\"Chojna Air Base\",\"Chojna\",\"Poland\",\"\",\\N,52.9394,14.4217,187,1,\"E\",\"Europe/Warsaw\"\n", + "7808,\"Leuterschach BF\",\"Leuterschach\",\"Germany\",\"LES\",\"LEUT\",47.75,10.601,1200,1,\"E\",\"Europe/Berlin\"\n", + "7809,\"Black Hills Airport-Clyde Ice Field\",\"Spearfish-South Dakota\",\"United States\",\"SPF\",\"KSPF\",44.4811407,-103.7860053,3931,-7,\"A\",\"America/Denver\"\n", + "7810,\"Knokke-Heist Westkapelle Heliport\",\"Knokke\",\"Belgium\",\"KNO\",\"EBKW\",51.3222,3.29306,0,1,\"U\",\"Europe/Brussels\"\n", + "7811,\"Redcliffe\",\"Rothwell\",\"Australia\",\"\",\"YRED\",-27.206944,153.072778,75,10,\"U\",\"Australia/Brisbane\"\n", + "7812,\"Gdynia\",\"Gdynia\",\"Poland\",\"QYD\",\"EPOK\",54.5797,18.5172,144,1,\"E\",\"Europe/Warsaw\"\n", + "7813,\"Malbork\",\"Malbork\",\"Poland\",\"\",\"EPMB\",54.026944,19.134167,16,1,\"E\",\"Europe/Warsaw\"\n", + "7814,\"Lask\",\"Lask\",\"Poland\",\"\",\"EPLK\",51.551667,19.179058,633,1,\"E\",\"Europe/Warsaw\"\n", + "7815,\"Miroslawiec\",\"Miroslawiec\",\"Poland\",\"\",\"EPMI\",53.395072,16.082814,459,1,\"E\",\"Europe/Warsaw\"\n", + "7816,\"Krzesiny\",\"Poznan\",\"Poland\",\"\",\"EPKS\",52.331719,16.966428,265,1,\"E\",\"Europe/Warsaw\"\n", + "7817,\"Olive Branch Muni\",\"Olive Branch\",\"United States\",\"OLV\",\"KOLV\",34.876944,-89.783333,350,-6,\"A\",\"America/Chicago\"\n", + "7818,\"Vina Del Mar\",\"Vina del Mar\",\"Chile\",\"\",\"SCVM\",-32.949611,-71.478583,461,-4,\"S\",\"America/Santiago\"\n", + "7819,\"Bangkok Intl closed\",\"Bangkok\",\"Thailand\",\"\",\"BKKX\",13.91111,100.60611,5,7,\"U\",\"Asia/Bangkok\"\n", + "7820,\"Brampton Airport\",\"Brampton\",\"Canada\",\"\",\"CNC3\",43.7603,-79.875,935,-5,\"A\",\"America/Toronto\"\n", + "7821,\"Zonguldak\",\"Zonguldak\",\"Turkey\",\"ONQ\",\"LTAS\",41.506111,32.088611,44,2,\"E\",\"Europe/Istanbul\"\n", + "7822,\"Rocky Mountain Metropolitan Airport\",\"Broomfield-CO\",\"United States\",\"BJC\",\"KBJC\",39.90888888,-105.11722222,5670,-7,\"A\",\"America/Denver\"\n", + "7823,\"Minot Train Station\",\"Minot\",\"United States\",\"\",\\N,48.2361,-101.2987,0,-6,\"A\",\"America/Chicago\"\n", + "7824,\"Havre Train Station\",\"Havre\",\"United States\",\"\",\\N,48.55457,-109.67836,0,-7,\"A\",\"America/Denver\"\n", + "7825,\"Wishram Train Station\",\"Wishram\",\"United States\",\"\",\\N,45.6576,-120.9664,0,-8,\"A\",\"America/Los_Angeles\"\n", + "7826,\"McNary Field\",\"Salem\",\"United States\",\"SLE\",\"KSLE\",44.9095,-123.003,214,-8,\"A\",\"America/Los_Angeles\"\n", + "7827,\"Tunica Municipal Airport\",\"Tunica\",\"United States\",\"UTM\",\"KUTA\",34.681,-90.3467,194,-6,\"A\",\"America/Chicago\"\n", + "7828,\"Batken Airport\",\"Batken\",\"Kyrgyzstan\",\"\",\"UA30\",40.0427,70.8381,3474,6,\"E\",\"Asia/Bishkek\"\n", + "7829,\"Sun Island\",\"Sun Island\",\"Maldives\",\"\",\\N,4.2868,73.554894,1,5,\"U\",\"Indian/Maldives\"\n", + "7830,\"Kasaba Bay Airport\",\"Kasaba Bay\",\"Zambia\",\"ZKB\",\"FLKY\",-8.525,30.663,2780,2,\"U\",\"Africa/Lusaka\"\n", + "7831,\"Lindau HBF\",\"Lindau\",\"Germany\",\"LND\",\"LIND\",47.5489,9.688,1000,1,\"E\",\"Europe/Berlin\"\n", + "7832,\"Guardiamarina Zanartu Airport\",\"Puerto Williams\",\"Chile\",\"WPU\",\\N,-54.9311,-67.6263,88,-4,\"U\",\"America/Santiago\"\n", + "7833,\"Volkel AB\",\"Volkel\",\"Netherlands\",\"UDE\",\\N,51.656389,5.708611,72,1,\"E\",\"Europe/Amsterdam\"\n", + "7834,\"Hoogeveen Airport\",\"Hoogeveen\",\"Netherlands\",\"\",\"EHHO\",52.7308,6.51611,40,1,\"E\",\"Europe/Amsterdam\"\n", + "7835,\"Teuge Airport\",\"Deventer\",\"Netherlands\",\"\",\"EHTE\",52.2447,6.04667,17,1,\"E\",\"Europe/Amsterdam\"\n", + "7836,\"Midden-Zeeland Airport\",\"Middelburg\",\"Netherlands\",\"\",\"EHMZ\",51.5122,3.73111,6,1,\"E\",\"Europe/Amsterdam\"\n", + "7837,\"Ameland Airport\",\"Ameland\",\"Netherlands\",\"\",\"EHAL\",53.4517,5.67722,11,1,\"E\",\"Europe/Amsterdam\"\n", + "7838,\"Saint-Cyr-l-Ecole Airport\",\"Saint-Cyr\",\"France\",\"\",\"LFPZ\",48.810278,2.073332,373,1,\"E\",\"Europe/Paris\"\n", + "7839,\"Lawrence J Timmerman Airport\",\"Milwaukee\",\"United States\",\"MWC\",\"KMWC\",43.1103889,-88.0344167,745,-6,\"A\",\"America/Chicago\"\n", + "7840,\"Southern Wisconsin Regional Airport\",\"Janesville\",\"United States\",\"JVL\",\"KJVL\",42.62025,-89.0415556,808,-6,\"A\",\"America/Chicago\"\n", + "7841,\"Mantsonyane Airport\",\"Mantsonyane\",\"Lesotho\",\"\",\"FXMN\",-29.5461,28.271,7100,2,\"U\",\"Africa/Maseru\"\n", + "7842,\"Hatfield\",\"Hatfield\",\"United Kingdom\",\"HTF\",\\N,51.765,-0.24833,254,0,\"U\",\"Europe/London\"\n", + "7843,\"Burswood Park Helipad\",\"Perth\",\"Australia\",\"\",\\N,-31.952,115.859,25,8,\"O\",\"Australia/Perth\"\n", + "7844,\"Toronto Coach Terminal\",\"Toronto\",\"Canada\",\"\",\"TRTO\",43.655996,-79.38416,0,-5,\"A\",\"America/Toronto\"\n", + "7845,\"Montreal Central Bus Station\",\"Montreal\",\"Canada\",\"\",\"MTRL\",45.51527887,-73.561427593,0,-5,\"A\",\"America/Toronto\"\n", + "7846,\"Arlington Municipal\",\"Arlington\",\"United States\",\"GKY\",\"KGKY\",32.6638611,-97.0942778,628,-6,\"A\",\"America/Chicago\"\n", + "7847,\"Gwinnett County Airport-Briscoe Field\",\"Lawrenceville\",\"United States\",\"LZU\",\"KLZU\",33.9780761,-83.9623772,1061,-5,\"A\",\"America/New_York\"\n", + "7848,\"Bowling Green-Warren County Regional Airport\",\"Bowling Green\",\"United States\",\"BWG\",\"KBWG\",36.9645278,-86.4196667,547,-6,\"A\",\"America/Chicago\"\n", + "7849,\"Richard Lloyd Jones Jr Airport\",\"Tulsa\",\"United States\",\"RVS\",\"KRVS\",36.0396111,-95.9846389,638,-6,\"A\",\"America/Chicago\"\n", + "7850,\"Emeryville Amtrak Station\",\"Emeryville\",\"United States\",\"\",\\N,37.8405149,-122.29134,23,-8,\"A\",\"America/Los_Angeles\"\n", + "7851,\"Bakersfield Amtrak Station\",\"Bakersfield\",\"United States\",\"\",\\N,35.372159,-119.008393,408,-8,\"A\",\"America/Los_Angeles\"\n", + "7852,\"Krymsk\",\"Novorossiysk\",\"Russia\",\"NOI\",\\N,44.4016,37.7779,50,4,\"N\",\\N\n", + "7853,\"Minhad HB\",\"Minhad AB\",\"United Arab Emirates\",\"NHD\",\"OMDM\",25.02694,55.36611,165,4,\"U\",\"Asia/Dubai\"\n", + "7854,\"Kirovograd\",\"Kirovograd\",\"Ukraine\",\"KGO\",\"UKKG\",48.54,32.29,510,2,\"E\",\"Europe/Kiev\"\n", + "7855,\"Roitzschjora Airport\",\"Roitzschjora\",\"Germany\",\"\",\"EDAW\",51.5778,12.4944,289,1,\"U\",\"Europe/Berlin\"\n", + "7856,\"Alalamain Intl.\",\"Dabaa City\",\"Egypt\",\"DBB\",\"HEAL\",30.15,28.0833,144,2,\"N\",\"Africa/Cairo\"\n", + "7857,\"Bryce Canyon\",\"Bryce Canyon\",\"United States\",\"BCE\",\"KBCE\",37.706444,-112.145806,7590,-7,\"A\",\"America/Denver\"\n", + "7858,\"Heidelberg\",\"Heidelberg\",\"Germany\",\"HDB\",\"EDIU\",49.393333,8.6525,0,1,\"E\",\"Europe/Berlin\"\n", + "7859,\"Burlington-Alamance Regional Airport\",\"Burlington\",\"United States\",\"BUY\",\"KBUY\",36.0485433,-79.4748892,617,-5,\"A\",\"America/New_York\"\n", + "7861,\"Chkalovsky Airport\",\"Shchyolkovo\",\"Russia\",\"CKL\",\"UUMU\",55.878333,38.061667,152,4,\"N\",\"Europe/Moscow\"\n", + "7862,\"Tengchong Tuofeng Airport\",\"Tengchong\",\"China\",\"TCZ\",\"ZUTC\",24.938651,98.483591,5500,8,\"N\",\"Asia/Chongqing\"\n", + "7863,\"Belbek Sevastopol International Airport\",\"Sevastopol\",\"Ukraine\",\"UKS\",\"UKFB\",44.691431,33.57567,344,2,\"U\",\"Europe/Kiev\"\n", + "8420,\"Berlin Brandenburg Willy Brandt\",\"Berlin\",\"Germany\",\"BER\",\"EDDB\",52.366667,13.503333,154,1,\"E\",\"Europe/Berlin\"\n", + "7865,\"Paradise Island Seaplane Base\",\"Nassau\",\"Bahamas\",\"WZY\",\\N,25.0872,-77.3239,0,-5,\"U\",\"America/Nassau\"\n", + "7866,\"Selous Siswandu\",\"Selous National Park\",\"Tanzania\",\"\",\\N,-7.70515,38.158644,0,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "7867,\"De Peel Air Base\",\"Deurne\",\"Netherlands\",\"\",\"EHDP\",51.5173,5.85572,98,1,\"E\",\"Europe/Amsterdam\"\n", + "7868,\"Camp Bastion \",\"Camp Bastion\",\"Afghanistan\",\"\",\"OAZI\",31.865556,64.195278,2808,4.5,\"N\",\"Asia/Kabul\"\n", + "7869,\"New Century AirCenter Airport\",\"Olathe\",\"United States\",\"JCI\",\"KIXD\",38.8309167,-94.8903056,1087,-6,\"A\",\"America/Chicago\"\n", + "7870,\"Easton-Newnam Field Airport\",\"Easton\",\"United States\",\"ESN\",\"KESN\",38.8041667,-76.069,72,-5,\"A\",\"America/New_York\"\n", + "7871,\"Stafsberg Airport\",\"Hamar\",\"Norway\",\"HMR\",\"ENHA\",60.8181,11.068,713,1,\"E\",\"Europe/Oslo\"\n", + "7872,\"Ringebu Airport\",\"Frya\",\"Norway\",\"\",\"ENRI\",61.5472,10.0611,571,1,\"E\",\"Europe/Oslo\"\n", + "7873,\"Starmoen\",\"Elverum\",\"Norway\",\"\",\"ENSM\",60.88,11.6731,659,1,\"E\",\"Europe/Oslo\"\n", + "7874,\"Ferry County Airport\",\"Republic\",\"United States\",\"R49\",\\N,48.7182058,-118.6564714,2522,-8,\"A\",\"America/Los_Angeles\"\n", + "7875,\"Yuba County Airport\",\"Yuba City\",\"United States\",\"MYV\",\"KMYV\",39.0553,-121.3411,62,-8,\"A\",\"America/Los_Angeles\"\n", + "7876,\"Basel SBB\",\"Basel\",\"Switzerland\",\"\",\\N,47.547531,7.58977,800,1,\"E\",\"Europe/Zurich\"\n", + "7877,\"Stockholm Cruise Port\",\"Stockholm\",\"Sweden\",\"STO\",\\N,59.3233,18.081,0,1,\"E\",\"Europe/Stockholm\"\n", + "7878,\"Helsingborg Cruise Port\",\"Helsingborg\",\"Sweden\",\"JHE\",\\N,56.0419,12.6912,0,1,\"E\",\"Europe/Stockholm\"\n", + "7879,\"Phillip Island Cruise Port\",\"Phillip Island\",\"Australia\",\"\",\"YPID\",-38.4468,145.2378,0,10,\"O\",\"Australia/Hobart\"\n", + "7880,\"Halliburton Field Airport\",\"Duncan\",\"United States\",\"DUC\",\"KDUC\",34.4713056,-97.9598611,1114,-6,\"A\",\"America/Chicago\"\n", + "7881,\"Port Authority Bus Terminal\",\"New York\",\"United States\",\"\",\"NYPA\",40.75616,-73.9906,0,-5,\"A\",\"America/New_York\"\n", + "7882,\"Filitheyo\",\"N.Nilandhoo Atoll\",\"Maldives\",\"\",\\N,3.207801,73.037308,0,5,\"N\",\"Indian/Maldives\"\n", + "7883,\"Helsinki Cruise Port\",\"Helsinki\",\"Finland\",\"\",\"HELC\",60.163056,24.969167,6,2,\"E\",\"Europe/Helsinki\"\n", + "7884,\"Chinle Municipal Airport\",\"Chinle\",\"United States\",\"E91\",\\N,36.1108806,-109.5754222,5547,-7,\"N\",\"America/Denver\"\n", + "7885,\"Garner Field\",\"Uvalde\",\"United States\",\"UVA\",\"KUVA\",29.215429,-99.748962,942,-6,\"A\",\"America/Chicago\"\n", + "7886,\"Lewis University Airport\",\"Lockport\",\"United States\",\"LOT\",\"KLOT\",41.606326,-88.083003,680,-6,\"A\",\"America/Chicago\"\n", + "7887,\"Frasca Field\",\"Urbana\",\"United States\",\"C16\",\\N,40.144979,-88.200197,735,-6,\"A\",\"America/Chicago\"\n", + "7888,\"Buchanan Field Airport\",\"Concord\",\"United States\",\"CCR\",\"KCCR\",37.9896667,-122.0568889,26,-8,\"A\",\"America/Los_Angeles\"\n", + "7889,\"Key Largo\",\"Ocean Reef Club Airport\",\"United States\",\"OCA\",\"07FA\",25.325393,-80.274775,8,-5,\"A\",\"America/New_York\"\n", + "7890,\"Denver Union Station\",\"Denver\",\"United States\",\"\",\\N,39.753187,-105.000093,0,-7,\"A\",\"America/Denver\"\n", + "7891,\"DELETE\",\"DELETE\",\"United States\",\"\",\\N,-1.1111,-1.1111,0,0,\"A\",\\N\n", + "7892,\"Polygone\",\"Strasbourg Neudorf\",\"France\",\"\",\"LFGC\",48.5548,7.7778,130,1,\"E\",\"Europe/Paris\"\n", + "7893,\"Nannhausen\",\"Nannhausen\",\"Germany\",\"\",\"EDRN\",50,7.591667,1296,1,\"E\",\"Europe/Berlin\"\n", + "7894,\"Yushu Batang\",\"Yushu\",\"China\",\"YUS\",\"ZLYS\",32.825,97.125,13000,8,\"U\",\"Asia/Chongqing\"\n", + "7895,\"Playon Chico\",\"Playon Chico\",\"Panama\",\"PYC\",\\N,9.303333,-78.236111,10,-5,\"U\",\"America/Panama\"\n", + "7896,\"Ustupo\",\"Ustupo\",\"Panama\",\"UTU\",\\N,9.137778,-77.933611,10,-5,\"U\",\"America/Panama\"\n", + "7897,\"Mamitupo\",\"Mamitupo\",\"Panama\",\"MPU\",\\N,9.186667,-77.984167,10,-5,\"U\",\"America/Panama\"\n", + "7898,\"Huai An Lianshui Airport\",\"Huai An\",\"China\",\"HIA\",\"ZSSH\",33.7772,119.1478,23,8,\"N\",\"Asia/Chongqing\"\n", + "7899,\"Mureck\",\"Mureck\",\"Austria\",\"\",\\N,46.70778,15.76941,764,1,\"E\",\"Europe/Vienna\"\n", + "7900,\"Guessing\",\"Guessing\",\"Austria\",\"\",\\N,47.05932,16.32449,820,1,\"E\",\"Europe/Vienna\"\n", + "7901,\"El Porvenir\",\"El Porvenir\",\"Panama\",\"PVE\",\\N,9.559167,-78.971111,5,-5,\"U\",\"America/Panama\"\n", + "7902,\"Oshawa Airport\",\"Oshawa\",\"Canada\",\"YOO\",\"CYOO\",43.9228,-78.895,459,-5,\"A\",\"America/Toronto\"\n", + "7903,\"Marl-Loemuehle Airport\",\"Recklinghausen\",\"Germany\",\"\",\"EDLM\",51.6472,7.16333,240,1,\"U\",\"Europe/Berlin\"\n", + "7904,\"Farila Air Base\",\"Farila\",\"Sweden\",\"\",\"ESNF\",62.03,15.752,660,1,\"E\",\"Europe/Stockholm\"\n", + "7905,\"Lahr Airport\",\"Lahr\",\"Germany\",\"LHA\",\"EDTL\",48.3693,7.82772,511,1,\"E\",\"Europe/Berlin\"\n", + "7906,\"Monywa Airport\",\"Monywa\",\"Burma\",\"\",\"VYMY\",22.233,95.117,298,6.5,\"N\",\"Asia/Rangoon\"\n", + "7907,\"Ohio University Airport\",\"Athens\",\"United States\",\"\",\"KUNI\",39.2118928,-82.2292554,766,-5,\"U\",\"America/New_York\"\n", + "7908,\"Springfield-Beckly Municipal Airport\",\"Springfield\",\"United States\",\"SGH\",\"KSGH\",39.8402778,-83.8401667,1051,-5,\"A\",\"America/New_York\"\n", + "7909,\"Sun Island Airport\",\"South Aari Atoll\",\"Maldives\",\"MSI\",\"SIAM\",3.295,72.4814,2,5,\"N\",\"Indian/Maldives\"\n", + "7910,\"Fes Sefrou Airport\",\"Fes\",\"Morocco\",\"\",\"GMFU\",34.0081,-4.96556,1539,0,\"U\",\"Africa/Casablanca\"\n", + "7911,\"Herrera International Airport\",\"Santo Domingo\",\"Dominican Republic\",\"HEX\",\"MDHE\",18.475,-69.975,22,-4,\"U\",\"America/Santo_Domingo\"\n", + "7912,\"Cooinda\",\"Cooinda\",\"Australia\",\"CDA\",\"YCOO\",-12.9033,132.532,43,9.5,\"U\",\"Australia/Darwin\"\n", + "7913,\"Jabiru\",\"Jabiru\",\"Australia\",\"JAB\",\"YJAB\",-12.6571,132.893,52,9.5,\"U\",\"Australia/Darwin\"\n", + "7914,\"Pitt Island Airport\",\"Pitt Island\",\"New Zealand\",\"\",\"PITT\",-44.300278,-176.220556,12,12.75,\"U\",\"Pacific/Chatham\"\n", + "7915,\"Plattling Bahnhof\",\"Plattling\",\"Germany\",\"\",\\N,48.780147,12.863573,1050,1,\"E\",\"Europe/Berlin\"\n", + "7916,\"Osterhofen Bahnhof\",\"Osterhofen Niederbayern\",\"Germany\",\"\",\\N,48.7,13.016667,1043,1,\"E\",\"Europe/Berlin\"\n", + "7917,\"Passau Hbf\",\"Passau\",\"Germany\",\"\",\\N,48.574167,13.450833,1000,1,\"E\",\"Europe/Berlin\"\n", + "7918,\"Regensburg-Oberhub Airport\",\"Regensburg\",\"Germany\",\"\",\"EDNR\",49.1419,12.0819,1299,1,\"E\",\"Europe/Berlin\"\n", + "7919,\"Regensburg HBF\",\"Regensburg\",\"Germany\",\"RGB\",\"REGE\",49.022,12.1111,1200,1,\"E\",\"Europe/Berlin\"\n", + "7920,\"Treuchtlingen BF\",\"Treuchtlingen\",\"Germany\",\"TLG\",\"TREU\",49.04,11.081944,1200,1,\"E\",\"Europe/Berlin\"\n", + "7921,\"Rivera Intl.\",\"Rivera\",\"Uruguay\",\"\",\\N,-31.1127,55.4611,200,-3,\"U\",\\N\n", + "7923,\"Miami Seaplane Base\",\"Miami\",\"United States\",\"MPB\",\\N,25.7783,-80.1703,0,-5,\"A\",\"America/New_York\"\n", + "7924,\"Hastings Airport\",\"Freetown\",\"Sierra Leone\",\"HGS\",\"GFHA\",8.39713,-13.1291,60,0,\"N\",\"Africa/Freetown\"\n", + "7925,\"Philip Billard Muni\",\"Topeka\",\"United States\",\"TOP\",\"KTOP\",39.068657,-95.622482,881,-6,\"A\",\"America/Chicago\"\n", + "7926,\"Grumeti Airstrip\",\"Serengeti National Park\",\"Tanzania\",\"\",\\N,-2.157488,34.221232,5080,3,\"N\",\"Africa/Dar_es_Salaam\"\n", + "7927,\"Emporia Municipal Airport\",\"Emporia\",\"United States\",\"EMP\",\\N,38.3321,-96.1912,1208,-6,\"A\",\"America/Chicago\"\n", + "7928,\"Benson Airstrip\",\"Uvalde\",\"United States\",\"\",\"2XS8\",29.229405,-99.823947,929,-6,\"A\",\"America/Chicago\"\n", + "7929,\"Rough River State Park\",\"Null\",\"United States\",\"\",\"K2I3\",37.609778,-86.506925,577,-6,\"A\",\"America/Chicago\"\n", + "7930,\"Smyrna Airport\",\"Smyrna\",\"United States\",\"\",\"KMQY\",36.009,-86.5201,543,-6,\"A\",\"America/Chicago\"\n", + "7931,\"Franklin County Airport\",\"Sewanee\",\"United States\",\"\",\"KUOS\",35.2051,-85.8981,1953,-6,\"A\",\"America/Chicago\"\n", + "7932,\"Gunsa\",\"Shiquanhe\",\"China\",\"NGQ\",\"ZUAL\",32.10027,80.052778,13780,8,\"N\",\"Asia/Chongqing\"\n", + "7933,\"Magdeburg-Cochstedt\",\"Cochstedt\",\"Germany\",\"CSO\",\"EDBC\",51.855833,11.418333,596,1,\"E\",\"Europe/Berlin\"\n", + "7934,\"Wurzburg HBF\",\"Wurzburg\",\"Germany\",\"WZB\",\"WURZ\",49.7999,9.95555,1000,1,\"E\",\"Europe/Berlin\"\n", + "7935,\"Collin County Regional Airport at Mc Kinney\",\"DALLAS\",\"United States\",\"TKI\",\"KTKI\",33.1779444,-96.5905278,585,-6,\"A\",\"America/Chicago\"\n", + "7936,\"Chicago Executive\",\"Chicago-Wheeling\",\"United States\",\"PWK\",\"KPWK\",42.1142897,-87.9015376,647,-6,\"A\",\"America/Chicago\"\n", + "7937,\"Ol Kiombo Airstrip\",\"Masai Mara National Park\",\"Kenya\",\"\",\\N,-1.409595,35.110803,0,3,\"U\",\"Africa/Nairobi\"\n", + "7938,\"Kelso Longview\",\"Kelso\",\"United States\",\"KLS\",\"KKLS\",46.118,-122.898389,20,-8,\"A\",\"America/Los_Angeles\"\n", + "7939,\"Letiste Benesov\",\"Benesov\",\"Czech Republic\",\"\",\"LKBE\",49.4427,14.3841,1322,1,\"U\",\"Europe/Prague\"\n", + "7940,\"Put-in-Bay Airport\",\"Put-in-Bay\",\"United States\",\"3W2\",\\N,41.3521,-82.497,595,-5,\"A\",\"America/New_York\"\n", + "7941,\"Bougouni\",\"Bougouni\",\"Mali\",\"\",\"GABG\",11.45,-7.517,300,0,\"N\",\"Africa/Bamako\"\n", + "7942,\"Glenwood Springs Train Station\",\"Glenwood Springs\",\"United States\",\"\",\\N,39.548,-107.3233,0,-7,\"A\",\"America/Denver\"\n", + "7943,\"Grand Junction Train Station\",\"Grand Junction\",\"United States\",\"\",\\N,39.0646,-108.5705,0,-7,\"A\",\"America/Denver\"\n", + "7944,\"Reno Amtrak Station\",\"Reno\",\"United States\",\"\",\\N,39.5287,-119.8116,0,-8,\"A\",\"America/Los_Angeles\"\n", + "7945,\"Sacramento Amtrak Station\",\"Sacramento\",\"United States\",\"\",\\N,38.584791,-121.500517,0,-8,\"A\",\"America/Los_Angeles\"\n", + "7946,\"Tureia Airport\",\"Tureia\",\"French Polynesia\",\"ZTA\",\"NTGY\",-20.7897,-138.57,12,-10,\"N\",\\N\n", + "7947,\"Ice Runway-McMurdo Sstation\",\"Ross Island\",\"Antarctica\",\"\",\"NZIR\",-77.8477778,166.6683333,1,12,\"N\",\"Antarctica/South_Pole\"\n", + "7948,\"Keekorok\",\"Keekorok\",\"Kenya\",\"\",\"HKKE\",-1.586418,35.259036,5536,3,\"N\",\"Africa/Nairobi\"\n", + "7949,\"Ol Kiombo\",\"Mara Intrepids\",\"Kenya\",\"\",\\N,-1.409569,35.110788,5006,3,\"N\",\"Africa/Nairobi\"\n", + "7950,\"Ol Kiombo\",\"Mara Intrepids\",\"Kenya\",\"\",\\N,-1.409569,35.110788,5006,3,\"N\",\"Africa/Nairobi\"\n", + "7951,\"Kichwa Tembo\",\"Kichwa Tembo\",\"Kenya\",\"\",\\N,-1.264132,35.022719,5174,3,\"N\",\"Africa/Nairobi\"\n", + "7952,\"Busan\",\"Busan\",\"South Korea\",\"\",\\N,35.179444,129.075556,0,9,\"U\",\"Asia/Seoul\"\n", + "7953,\"Busan\",\"Busan\",\"South Korea\",\"\",\\N,35.179444,129.075556,0,9,\"U\",\"Asia/Seoul\"\n", + "7954,\"Gare de Marne-la-Vallee\",\"Chessy\",\"France\",\"\",\\N,48.869722,2.782778,250,1,\"E\",\"Europe/Paris\"\n", + "7955,\"Jefferson County Intl\",\"Port Townsend\",\"United States\",\"TWD\",\\N,48.0314,-122.4838,108,-8,\"A\",\"America/Los_Angeles\"\n", + "7956,\"Lynden Airport\",\"Lynden\",\"United States\",\"38W\",\\N,48.9558961,-122.4581183,106,-8,\"A\",\"America/Los_Angeles\"\n", + "7957,\"Jefferson County Intl\",\"Port Townsend\",\"United States\",\"0S9\",\\N,48.0538086,-122.8106436,108,-8,\"A\",\"America/Los_Angeles\"\n", + "7958,\"Savut\",\"Savut\",\"Botswana\",\"\",\\N,1,1,1,1,\"U\",\\N\n", + "7959,\"Xakan\",\"Xakan\",\"Botswana\",\"\",\\N,1,1,1,1,\"N\",\\N\n", + "7960,\"Xakan\",\"Xakan\",\"Botswana\",\"\",\\N,1,1,1,1,\"N\",\\N\n", + "7961,\"Xugan\",\"Xugan\",\"Botswana\",\"\",\\N,1,1,1,0,\"N\",\\N\n", + "7962,\"Puerto Obaldia\",\"Puerto Obaldia\",\"Panama\",\"PUE\",\"MPOA\",8.68333,-77.5333,223,-5,\"U\",\"America/Panama\"\n", + "7963,\"Kerch Intl\",\"Kerch\",\"Ukraine\",\"KHC\",\"UKFK\",45.372869,36.402761,152,2,\"E\",\"Europe/Kiev\"\n", + "7964,\"Khao Sok National Park\",\"Surat Thani\",\"Thailand\",\"\",\\N,8.936667,98.530278,1200,7,\"U\",\"Asia/Bangkok\"\n", + "7965,\"Khao Sok National Park\",\"Surat Thani\",\"Thailand\",\"\",\\N,8.936667,98.530278,1200,7,\"U\",\"Asia/Bangkok\"\n", + "7966,\"Boston South Station\",\"Boston\",\"United States\",\"\",\"BOST\",42.35,-71.0558,0,-5,\"A\",\"America/New_York\"\n", + "7967,\"Tarifa\",\"Tarifa\",\"Spain\",\"\",\\N,36.070781,-5.602764,20,1,\"E\",\"Europe/Madrid\"\n", + "7968,\"Train Station\",\"Ottawa\",\"Canada\",\"XDS\",\\N,45.4164,-75.6517,374,-5,\"A\",\"America/Toronto\"\n", + "7969,\"Train Station\",\"Belleville\",\"Canada\",\"XVV\",\\N,44.1793,-77.3747,315,-5,\"A\",\"America/Toronto\"\n", + "7970,\"Train Station\",\"Edmonton\",\"Canada\",\"XZL\",\\N,53.5789,-113.5307,2208,-7,\"A\",\"America/Edmonton\"\n", + "7971,\"Train Station\",\"Richmond\",\"United States\",\"ZRD\",\\N,37.5343,-77.42945,26,-5,\"A\",\"America/New_York\"\n", + "7972,\"Sentral\",\"Kuala Lumpur\",\"Malaysia\",\"XKL\",\\N,3.134,101.686,126,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "7973,\"Train Station\",\"Churchill\",\"Canada\",\"XAD\",\\N,58.76775,-94.17425,10,-6,\"A\",\"America/Winnipeg\"\n", + "7974,\"Train Station\",\"Winnipeg\",\"Canada\",\"XEF\",\\N,49.8889,-97.1342,751,-6,\"A\",\"America/Winnipeg\"\n", + "7975,\"Kingston VIA Station\",\"Kingston\",\"Canada\",\"\",\\N,44.2572,-76.53715,282,-5,\"A\",\"America/Toronto\"\n", + "7976,\"Ukunda Airport\",\"Ukunda\",\"Kenya\",\"UKA\",\"HKUK\",-4.29694,39.5714,0,3,\"U\",\"Africa/Nairobi\"\n", + "7977,\"Whitehaven Beach\",\"Whitsunday Island\",\"Australia\",\"\",\\N,-20.28866,149.044966,0,10,\"U\",\"Australia/Brisbane\"\n", + "7978,\"Wilmington Airborne Airpark\",\"Wilmington\",\"United States\",\"ILN\",\"KILN\",39.42792,-83.792118,1077,-5,\"U\",\"America/New_York\"\n", + "7979,\"Marana Regional\",\"Tucson\",\"United States\",\"AVW\",\"KAVQ\",32.409556,-111.218388,2031,-7,\"U\",\"America/Phoenix\"\n", + "7980,\"Casa Grande Municipal Airport\",\"Casa Grande\",\"United States\",\"CGZ\",\"KCGZ\",32.954889,-111.766832,1464,-7,\"U\",\"America/Phoenix\"\n", + "7981,\"Mobile\",\"Mobile\",\"United States\",\"\",\"1AZ0\",33.111944,-112.269166,1261,-7,\"U\",\"America/Phoenix\"\n", + "7982,\"Buckeye Municipal Airport\",\"Buckeye\",\"United States\",\"BXK\",\"KBXK\",33.420417,-112.68618,1033,-7,\"U\",\"America/Phoenix\"\n", + "7983,\"Gila Bend Municipal Airport\",\"Gila Bend\",\"United States\",\"E63\",\"KE63\",32.960169,-112.673636,789,-7,\"U\",\"America/Phoenix\"\n", + "7984,\"McMinn Co\",\"Athens\",\"United States\",\"MMI\",\"KMMI\",35.39919,-84.56177,874,-5,\"N\",\"America/New_York\"\n", + "7985,\"Sterling Municipal Airport\",\"Sterling\",\"United States\",\"STK\",\"KSTK\",40.6153136,-103.2648454,4040,-7,\"A\",\"America/Denver\"\n", + "7986,\"Rawlins Municipal Airport-Harvey Field\",\"Rawlins\",\"United States\",\"RWL\",\"KFWL\",41.8055975,-107.19994,6813,-7,\"A\",\"America/Denver\"\n", + "7987,\"Mackenzie Airport\",\"Mackenzie British Columbia\",\"Canada\",\"YZY\",\"CYZY\",55.29944,-123.08333,2264,-8,\"A\",\"America/Vancouver\"\n", + "7988,\"JALOU\",\"Jalu\",\"Libya\",\"\",\\N,29.142222,21.380556,0,2,\"U\",\"Africa/Tripoli\"\n", + "7989,\"JALOU\",\"Jalu\",\"Libya\",\"\",\\N,29.142222,21.380556,0,2,\"U\",\"Africa/Tripoli\"\n", + "7990,\"Caldwell Essex County Airport\",\"Caldwell\",\"United States\",\"CDW\",\"KCDW\",40.8752222,-74.2813611,172,-5,\"A\",\"America/New_York\"\n", + "7991,\"Lee C Fine Memorial Airport\",\"Kaiser Lake Ozark\",\"United States\",\"AIZ\",\"KAIZ\",38.096035,-92.5494875,869,-6,\"A\",\"America/Chicago\"\n", + "7992,\"Yuryevets\",\"Yuryevets\",\"Russia\",\"\",\\N,57.3106,43.1003,269,4,\"N\",\"Europe/Moscow\"\n", + "7993,\"Big Bear City\",\"Big Bear\",\"United States\",\"L35\",\\N,34.2637778,-116.8560278,6725,-8,\"A\",\"America/Los_Angeles\"\n", + "7994,\"KIEV INTERNATIONAL AIRPORT\",\"KIEV\",\"Ukraine\",\"KIP\",\"KIEV\",50.1403,30.1808,250,2,\"E\",\"Europe/Kiev\"\n", + "7995,\"Los Angeles Union Station\",\"Los Angeles\",\"United States\",\"\",\\N,34.056111,-118.234167,300,-8,\"A\",\"America/Los_Angeles\"\n", + "7996,\"Bamberg BF\",\"Bamberg\",\"Germany\",\"BAM\",\"BAMB\",49.911,10.9,800,1,\"E\",\"Europe/Berlin\"\n", + "7997,\"Ingolstadt BF\",\"Ingolstadt\",\"Germany\",\"IGS\",\"INGS\",48.7777,11.422,888,1,\"E\",\"Europe/Berlin\"\n", + "7998,\"Thomasville Regional Airport\",\"Thomasville\",\"United States\",\"TVI\",\"KTVI\",30.9017921,-83.8811285,264,-5,\"A\",\"America/New_York\"\n", + "7999,\"Henderson Executive Airport\",\"Henderson\",\"United States\",\"HSH\",\"KHND\",35.972778,-115.134444,1881,-8,\"A\",\"America/Los_Angeles\"\n", + "8000,\"Gostomel Antonov\",\"Kiev\",\"Ukraine\",\"GML\",\"UKKM\",50.603611,30.191944,517,2,\"E\",\"Europe/Kiev\"\n", + "8001,\"Zuoying Station\",\"Kaohsiung\",\"Taiwan\",\"\",\\N,22.687389,120.307481,31,8,\"N\",\"Asia/Taipei\"\n", + "8002,\"Taipei Station\",\"Taipei\",\"Taiwan\",\"\",\\N,25.047778,121.517222,30,8,\"N\",\"Asia/Taipei\"\n", + "8003,\"Donghae\",\"Donghae\",\"South Korea\",\"\",\\N,37.489,129.124,0,9,\"N\",\"Asia/Seoul\"\n", + "8004,\"Sakaiminato Port\",\"Sakaiminato\",\"Japan\",\"\",\\N,35.539,133.264,0,9,\"N\",\"Asia/Tokyo\"\n", + "8005,\"Henry Tift Myers Airport\",\"Tifton\",\"United States\",\"TMA\",\"KTMA\",31.4289814,-83.488545,355,-5,\"A\",\"America/New_York\"\n", + "8006,\"Landshut Ellermuehle\",\"Landshut\",\"Germany\",\"\",\"EDML\",48.5133333333333,12.035,1200,1,\"E\",\"Europe/Berlin\"\n", + "8007,\"Itzehoe-Hungriger Wolf Airport\",\"Itzehoe\",\"Germany\",\"\",\"EDHF\",53.9944,9.57861,89,1,\"E\",\"Europe/Berlin\"\n", + "8008,\"Savannah Cruise Terminal\",\"Savannah\",\"United States\",\"\",\\N,32.08558,-81.097559,0,-5,\"U\",\"America/New_York\"\n", + "8009,\"CHARLESTON CRUISE TERMINAL\",\"CHARLESTON\",\"United States\",\"\",\\N,32.781081,-79.92364,0,-5,\"U\",\"America/New_York\"\n", + "8010,\"NEW YORK CRUISE TERMINAL PIER 92\",\"NEW YORK\",\"United States\",\"\",\\N,40.767681,-73.999107,0,-5,\"U\",\"America/New_York\"\n", + "8011,\"Navy Dockyard Hamilton Bermuda\",\"HAMILTON\",\"Bermuda\",\"\",\\N,32.327037,-64.830626,0,-4,\"U\",\"Atlantic/Bermuda\"\n", + "8012,\"Tokyo Station\",\"Tokyo\",\"Japan\",\"\",\\N,35.672498,139.753218,16,9,\"N\",\"Asia/Tokyo\"\n", + "8013,\"Shin-Osaka Station\",\"Osaka\",\"Japan\",\"\",\\N,34.738932,135.500093,61,9,\"N\",\"Asia/Tokyo\"\n", + "8014,\"Hiroshima Station\",\"Hiroshima\",\"Japan\",\"\",\\N,34.3973853173792,132.475978195923,28,9,\"N\",\"Asia/Tokyo\"\n", + "8015,\"Frankfurt-Main Hauptbahnhof\",\"Frankfurt\",\"Germany\",\"ZRB\",\\N,50.1070257990375,8.66276050515751,372,1,\"E\",\"Europe/Berlin\"\n", + "8016,\"Amsterdam Amstel Station\",\"Amsterdam\",\"Netherlands\",\"\",\\N,52.3466365904832,4.91781401731873,21,1,\"E\",\"Europe/Amsterdam\"\n", + "8017,\"Florenc Central Bus Station\",\"Prague\",\"Czech Republic\",\"\",\\N,50.0909636578274,14.4394929551697,617,1,\"E\",\"Europe/Prague\"\n", + "8018,\"Wien Sudbahnhof\",\"Vienna\",\"Austria\",\"\",\\N,48.1866480486625,16.3815008466187,651,1,\"E\",\"Europe/Vienna\"\n", + "8019,\"Praha hlavni nadrazi\",\"Prague\",\"Czech Republic\",\"XYG\",\\N,50.0826892098189,14.4350297593689,691,1,\"E\",\"Europe/Prague\"\n", + "8020,\"Wien Westbahnhof\",\"Vienna\",\"Austria\",\"\",\\N,48.1965754250116,16.3374911611023,675,1,\"E\",\"Europe/Vienna\"\n", + "8021,\"Venezia Santa Lucia\",\"Venice\",\"Italy\",\"\",\\N,45.4417738709625,12.3199978080597,8,1,\"E\",\"Europe/Rome\"\n", + "8022,\"Firenze Santa Maria Novella\",\"Florence\",\"Italy\",\"\",\\N,43.7766651171349,11.2480175237426,159,1,\"E\",\"Europe/Rome\"\n", + "8023,\"Roma Termini\",\"Rome\",\"Italy\",\"\",\\N,41.9004811137748,12.5020006853333,189,1,\"E\",\"Europe/Rome\"\n", + "8024,\"St Pancras Railway Station\",\"London\",\"United Kingdom\",\"QQS\",\\N,51.532519492138,-0.12630037301642,80,0,\"E\",\"Europe/London\"\n", + "8025,\"Chitabe Airstrip\",\"Chitabe\",\"Botswana\",\"\",\\N,-19.4687,23.38271,3000,2,\"U\",\"Africa/Gaborone\"\n", + "8026,\"Fish River Canyon Lodge Airstrip\",\"Fish River Canyon\",\"Namibia\",\"\",\\N,-27.659288,17.837624,3077,1,\"S\",\"Africa/Windhoek\"\n", + "8027,\"Sossusvlei Desert Lodge Airstrip\",\"Sossusvlei\",\"Namibia\",\"\",\\N,-24.802812,15.891713,2950,1,\"S\",\"Africa/Windhoek\"\n", + "8028,\"Ulusaba Airstrip\",\"Ulusaba\",\"Namibia\",\"ULX\",\\N,-24.782766,31.353929,1470,2,\"S\",\"Africa/Johannesburg\"\n", + "8029,\"RADOM\",\"RADOM\",\"Poland\",\"QXR\",\"EPRA\",51.231978,21.124183,479,1,\"E\",\"Europe/Warsaw\"\n", + "8030,\"Deer Valley Municipal Airport\",\"Phoenix \",\"United States\",\"DVT\",\"KDVT\",33.4117,112.457,1478,8,\"A\",\"Asia/Chongqing\"\n", + "8031,\"Calgary Springbank Airport\",\"Calgary\",\"Canada\",\"YBW\",\"CYBW\",51.1031,-114.374,3939,-7,\"A\",\"America/Edmonton\"\n", + "8032,\"Golden Airport\",\"Golden\",\"Canada\",\"YGE\",\"CYGE\",51.2992,-116.982,2575,-7,\"A\",\"America/Edmonton\"\n", + "8033,\"Revelstoke Airport\",\"Revelstoke\",\"Canada\",\"YRV\",\"CYRV\",50.9667,-118.183,1459,-8,\"A\",\"America/Vancouver\"\n", + "8034,\"Republic Airport\",\"Farmingdale\",\"United States\",\"\",\"KFRG\",40.7288,-73.4134,82,-5,\"A\",\"America/New_York\"\n", + "8035,\"Allstedt\",\"Allstedt\",\"Germany\",\"\",\"EDBT\",51.3806,11.4467,932,1,\"E\",\"Europe/Berlin\"\n", + "8036,\"BWKAM\",\"Amberg\",\"Germany\",\"\",\\N,49.43,11.8,500,1,\"E\",\"Europe/Berlin\"\n", + "8037,\"Glindbruchkippe\",\"Peine\",\"Germany\",\"\",\"KIPP\",52.3237,10.182,230,1,\"E\",\"Europe/Berlin\"\n", + "8038,\"General Freire\",\"Curico\",\"Chile\",\"\",\"SCIC\",-34.9667,-71.2164,722,-4,\"S\",\"America/Santiago\"\n", + "8039,\"Peine-Eddesse Airport\",\"Peine\",\"Germany\",\"\",\"EDVP\",52.4025,10.2289,249,1,\"E\",\"Europe/Berlin\"\n", + "8040,\"Seattle King Street Station\",\"Seattle\",\"United States\",\"\",\\N,47.5985,-122.3299,7,-8,\"A\",\"America/Los_Angeles\"\n", + "8041,\"Tula\",\"Tula\",\"Russia\",\"TYA\",\\N,54.142208,37.355619,590,4,\"N\",\"Europe/Moscow\"\n", + "8042,\"Hondo Municipal Airport\",\"Hondo\",\"United States\",\"HDO\",\"KHDO\",29.3591,-99.1775,930,-6,\"A\",\"America/Chicago\"\n", + "8043,\"Zhongwei Xiangshan Airport\",\"Zhongwei\",\"China\",\"ZHY\",\"ZLZW\",37.5728,105.1544,4305,8,\"N\",\"Asia/Chongqing\"\n", + "8044,\"Milwaukee Airport Station\",\"Milwaukee\",\"United States\",\"\",\\N,42.940556,-87.924722,730,-6,\"A\",\"America/Chicago\"\n", + "8045,\"Springfield IL Amtrak\",\"Springfield\",\"United States\",\"\",\\N,39.8023,-89.6515,593,-6,\"A\",\"America/Chicago\"\n", + "8046,\"St. Louis Amtrak - old\",\"St. Louis\",\"United States\",\"\",\\N,38.6241,-90.2056,450,-6,\"A\",\"America/Chicago\"\n", + "8047,\"Camarillo Amtrak\",\"Camarillo\",\"United States\",\"\",\\N,34.2164,-119.0335,140,-8,\"A\",\"America/Los_Angeles\"\n", + "8048,\"Seattle Pier 52\",\"Seattle\",\"United States\",\"\",\\N,47.6005,-122.3388,7,-8,\"A\",\"America/Los_Angeles\"\n", + "8049,\"Bremerton Terminal\",\"Bremerton\",\"United States\",\"\",\\N,47.5619,-122.625,7,-8,\"A\",\"America/Los_Angeles\"\n", + "8050,\"McKinley National Park Airport\",\"McKinley Park\",\"United States\",\"MCL\",\"PAIN\",63.732757,-148.91129,1720,-9,\"A\",\"America/Anchorage\"\n", + "8051,\"Lake Hood Seaplane Base\",\"Anchorage\",\"United States\",\"LHD\",\"PALH\",61.1866382,-149.9653918,71,-9,\"A\",\"America/Anchorage\"\n", + "8052,\"Prospect Creek Airport\",\"Prospect Creek\",\"United States\",\"PPC\",\"PAPR\",66.814167,-150.643611,1095,-9,\"A\",\"America/Anchorage\"\n", + "8053,\"Khwai River Lodge\",\"Khwai River\",\"Botswana\",\"KHW\",\"FBKR\",-19.149166,23.7875,3000,2,\"N\",\"Africa/Gaborone\"\n", + "8054,\"Spremberg-Welzow Airport\",\"Welzow\",\"Germany\",\"\",\"EDCY\",51.5756,14.1369,374,1,\"E\",\"Europe/Berlin\"\n", + "8055,\"Taichung Airport\",\"Taichung\",\"Taiwan\",\"TXG\",\"RCLG\",24.1863,120.654,369,8,\"N\",\"Asia/Taipei\"\n", + "8056,\"Columbia County\",\"Hudson NY\",\"United States\",\"HCC\",\\N,42.2913,-73.7103,198,-5,\"A\",\"America/New_York\"\n", + "8057,\"Sasovo\",\"Sasovo\",\"Russia\",\"\",\\N,54.3539,41.9739,365,4,\"N\",\"Europe/Moscow\"\n", + "8058,\"Hong Kong Macau Ferry Terminal\",\"Hong Kong\",\"Hong Kong\",\"\",\\N,22.289372,114.152153,0,8,\"N\",\"Asia/Hong_Kong\"\n", + "8059,\"Hong Kong Macau Ferry Terminal\",\"Hong Kong\",\"Hong Kong\",\"\",\\N,22.289372,114.152153,0,8,\"N\",\"Asia/Hong_Kong\"\n", + "8060,\"Macau Taipa Ferry Terminal\",\"Macau\",\"Macau\",\"\",\\N,22.1633,113.57404,0,8,\"N\",\"Asia/Macau\"\n", + "8061,\"Macau Taipa Ferry Terminal\",\"Macau\",\"Macau\",\"\",\\N,22.1633,113.57404,0,8,\"N\",\"Asia/Macau\"\n", + "8062,\"Wheeling Ohio County Airport\",\"Wheeling\",\"United States\",\"HLG\",\\N,40.175,-80.6463,1195,-5,\"A\",\"America/New_York\"\n", + "8063,\"Fitzgerald Municipal Airport\",\"Fitzgerald\",\"United States\",\"FZG\",\"KFZG\",31.6839046,-83.2709036,365,-5,\"A\",\"America/New_York\"\n", + "8064,\"Perry-Foley Airport\",\"Perry\",\"United States\",\"40J\",\\N,30.0692778,-83.5805833,44,-5,\"A\",\"America/New_York\"\n", + "8065,\"Cairo-Grady County Airport\",\"Cairo\",\"United States\",\"70J\",\\N,30.8879767,-84.1547353,265,-5,\"A\",\"America/New_York\"\n", + "8066,\"Pacific Station\",\"Vancouver\",\"Canada\",\"\",\\N,49.2739,-123.0986,0,-8,\"A\",\"America/Vancouver\"\n", + "8067,\"Tamar Mepe Airport\",\"Mestia\",\"Georgia\",\"\",\\N,43.06848,42.75424,100,4,\"N\",\"Asia/Tbilisi\"\n", + "8068,\"Samsun \",\"Samsun\",\"Turkey\",\"SSX\",\\N,41.1641,36.1814,521,2,\"U\",\"Europe/Istanbul\"\n", + "8069,\"Ye\",\"Ye\",\"Burma\",\"XYE\",\"VYYE\",15.25,97.85,25,6.5,\"U\",\"Asia/Rangoon\"\n", + "8070,\"Isla San Felix\",\"Isla San Felix\",\"Chile\",\"\",\"SCFX\",-26.293864,-80.096214,165,-4,\"U\",\"America/Santiago\"\n", + "8071,\"Kingston Train Station\",\"Kingston\",\"Canada\",\"XEG\",\"KGST\",44.256944,-76.536943,282,-5,\"A\",\"America/Toronto\"\n", + "8072,\"Dorval Railway Station\",\"Dorval\",\"Canada\",\"XAX\",\\N,45.448611,-73.74111,0,-5,\"A\",\"America/Toronto\"\n", + "8073,\"Brockville Megabus Stop\",\"Brockville\",\"Canada\",\"\",\"BRKM\",44.6003,-75.7039,0,-5,\"A\",\"America/Toronto\"\n", + "8074,\"Brockville VIA Station\",\"Brockville\",\"Canada\",\"\",\"BRKV\",44.5919,-75.693343,0,-5,\"A\",\"America/Toronto\"\n", + "8075,\"Shaybah airport\",\"Shaybah\",\"Saudi Arabia\",\"\",\"OESB\",22.5147,53.9597,262,3,\"N\",\"Asia/Riyadh\"\n", + "8076,\"Dubai Al Maktoum\",\"Dubai\",\"United Arab Emirates\",\"DWC\",\"OMDW\",24.55056,55.103174,170,4,\"U\",\"Asia/Dubai\"\n", + "8077,\"Aransas County Airport\",\"Rockport\",\"United States\",\"RKP\",\"KRKP\",28.0862222,-97.0436944,24,-6,\"A\",\"America/Chicago\"\n", + "8078,\"Bandanaira Airport\",\"Bandanaira-Naira Island\",\"Indonesia\",\"NDA\",\\N,-4.53333,129.9,37,9,\"N\",\\N\n", + "8079,\"Megeve Airport\",\"Verdun\",\"France\",\"MVV\",\"LFHM\",45.8208,6.65222,4823,1,\"U\",\"Europe/Paris\"\n", + "8080,\"Meribel Airport\",\"Ajaccio\",\"France\",\"MFX\",\"LFKX\",45.4069,6.58056,5636,1,\"U\",\"Europe/Paris\"\n", + "8081,\"Oldbury\",\"Oldbury\",\"United Kingdom\",\"\",\\N,52.55,-2.0166,499,0,\"E\",\"Europe/London\"\n", + "8082,\"Tianyang\",\"Baise\",\"China\",\"AEB\",\\N,23.72,106.96,485,8,\"N\",\"Asia/Chongqing\"\n", + "8083,\"Okaukuejo Airport\",\"Okaukuejo\",\"Namibia\",\"OKF\",\"FYOO\",-19.1492,15.9119,3911,1,\"S\",\"Africa/Windhoek\"\n", + "8084,\"Mokuti Lodge Airport\",\"Mokuti Lodge\",\"Namibia\",\"OKU\",\"FYMO\",-18.8128,17.0594,3665,1,\"S\",\"Africa/Windhoek\"\n", + "8085,\"Rotenburg Wuemme Airport\",\"Rotenburg Wuemme\",\"Germany\",\"\",\"EDXQ\",53.1283,9.34861,98,1,\"E\",\"Europe/Berlin\"\n", + "8086,\"Wipperfuerth-Neye Airport\",\"Wipperfuerth\",\"Germany\",\"\",\"EDKN\",51.1242,7.37361,863,1,\"E\",\"Europe/Berlin\"\n", + "8087,\"Osnabrueck-Atterheide Airport\",\"Osnabrueck\",\"Germany\",\"\",\"EDWO\",52.2864,7.96972,285,1,\"E\",\"Europe/Berlin\"\n", + "8088,\"Ballenstedt Airport\",\"Ballenstedt\",\"Germany\",\"\",\"EDCB\",51.7458,11.2297,535,1,\"E\",\"Europe/Berlin\"\n", + "8089,\"Hartenholm Airport\",\"Hasenmoor\",\"Germany\",\"\",\"EDHM\",53.915,10.0356,108,1,\"E\",\"Europe/Berlin\"\n", + "8090,\"Ganderkesee Atlas Airfield Airport\",\"Ganderkesee\",\"Germany\",\"\",\"EDWQ\",53.0361,8.50556,95,1,\"E\",\"Europe/Berlin\"\n", + "8091,\"Nienburg-Holzbalge Airport\",\"Nienburg Weser\",\"Germany\",\"\",\"EDXI\",52.7097,9.1625,82,1,\"E\",\"Europe/Berlin\"\n", + "8092,\"Damme Airport\",\"Damme\",\"Germany\",\"\",\"EDWC\",52.4875,8.18556,151,1,\"E\",\"Europe/Berlin\"\n", + "8093,\"Borkenberge Airport\",\"Duelmen\",\"Germany\",\"\",\"EDLB\",51.78,7.288,157,1,\"E\",\"Europe/Berlin\"\n", + "8094,\"Obermehler-Schlotheim Airport\",\"Obermehler\",\"Germany\",\"\",\"EDCO\",51.2678,10.6347,909,1,\"E\",\"Europe/Berlin\"\n", + "8095,\"Hodenhagen Airport\",\"Hodenhagen\",\"Germany\",\"\",\"EDVH\",52.7611,9.60556,79,1,\"E\",\"Europe/Berlin\"\n", + "8096,\"Grube Airport\",\"Grube\",\"Germany\",\"\",\"EDHB\",54.2444,11.0247,7,1,\"E\",\"Europe/Berlin\"\n", + "8097,\"Toender Airport\",\"Toender\",\"Denmark\",\"\",\"EKTD\",54.9297,8.84057,0,1,\"E\",\"Europe/Copenhagen\"\n", + "8098,\"Celle-Arloh Airport\",\"Celle\",\"Germany\",\"\",\"EDVC\",52.6872,10.1114,207,1,\"E\",\"Europe/Berlin\"\n", + "8099,\"Uelzen Airport\",\"Uelzen\",\"Germany\",\"\",\"EDVU\",52.9839,10.465,246,1,\"E\",\"Europe/Berlin\"\n", + "8100,\"Hamm-Lippewiesen Airport\",\"Hamm\",\"Germany\",\"\",\"EDLH\",51.6897,7.81611,190,1,\"E\",\"Europe/Berlin\"\n", + "8101,\"Luesse Airport\",\"Luesse\",\"Germany\",\"\",\"EDOJ\",52.1411,12.6647,217,1,\"E\",\"Europe/Berlin\"\n", + "8102,\"Porta Westfalica Airport\",\"Bad Oeynhausen\",\"Germany\",\"\",\"EDVY\",52.2208,8.85917,148,1,\"E\",\"Europe/Berlin\"\n", + "8103,\"Brilon Hochsauerlandkreis Airport\",\"Brilon\",\"Germany\",\"\",\"EDKO\",51.4025,8.64167,1509,1,\"E\",\"Europe/Berlin\"\n", + "8104,\"Hameln Pyrmont Airport\",\"Bad Pyrmont\",\"Germany\",\"\",\"EDVW\",51.9667,9.29167,1178,1,\"E\",\"Europe/Berlin\"\n", + "8105,\"Nordholz Spieka Airport\",\"Cuxhaven\",\"Germany\",\"\",\"EDXN\",53.7672,8.64361,72,1,\"E\",\"Europe/Berlin\"\n", + "8106,\"Koethen Airport\",\"Koethen\",\"Germany\",\"\",\"EDCK\",51.7211,11.9528,305,1,\"E\",\"Europe/Berlin\"\n", + "8107,\"St. Michaelisdonn Airport\",\"Sankt Michaelisdonn\",\"Germany\",\"\",\"EDXM\",53.9781,9.14472,125,1,\"E\",\"Europe/Berlin\"\n", + "8108,\"Salzgitter Druette Airport\",\"Salzgitter\",\"Germany\",\"\",\"EDVS\",52.1544,10.4267,328,1,\"E\",\"Europe/Berlin\"\n", + "8109,\"Karlshoefen Airport\",\"Karlshoefen\",\"Germany\",\"\",\"EDWK\",53.3328,9.02833,20,1,\"E\",\"Europe/Berlin\"\n", + "8110,\"Oldenburg Hatten Airport\",\"Oldenburg\",\"Germany\",\"\",\"EDWH\",53.0689,8.31361,26,1,\"E\",\"Europe/Berlin\"\n", + "8111,\"Rinteln Airport\",\"Rinteln\",\"Germany\",\"\",\"EDVR\",52.1753,9.05333,180,1,\"E\",\"Europe/Berlin\"\n", + "8112,\"Muenster-Telgte Airport\",\"Muenster\",\"Germany\",\"\",\"EDLT\",51.9444,7.77389,177,1,\"E\",\"Europe/Berlin\"\n", + "8113,\"St. Peter-Ording Airport\",\"Sankt Peter-Ording\",\"Germany\",\"PSH\",\"EDXO\",54.3089,8.68694,7,1,\"E\",\"Europe/Berlin\"\n", + "8114,\"Luechow-Rehbeck Airport\",\"Luechow\",\"Germany\",\"\",\"EDHC\",53.0161,11.1444,49,1,\"E\",\"Europe/Berlin\"\n", + "8115,\"Klietz-Scharlibbe Airport\",\"Scharlibbe\",\"Germany\",\"\",\"EDCL\",52.7094,12.0733,95,1,\"E\",\"Europe/Berlin\"\n", + "8116,\"Burg Airport\",\"Burg\",\"Germany\",\"\",\"EDBG\",52.2417,11.8561,174,1,\"E\",\"Europe/Berlin\"\n", + "8117,\"Crisp County Cordele Airport\",\"Cordele\",\"United States\",\"CKF\",\"KCKF\",31.9888333,-83.7739167,310,-5,\"A\",\"America/New_York\"\n", + "8118,\"Ormond Beach municipal Airport\",\"Ormond Beach\",\"United States\",\"OMN\",\"KOMN\",29.1804,-81.06497,28,-5,\"A\",\"America/New_York\"\n", + "8119,\"Bad Neuenahr-Ahrweiler Airport\",\"Bad Neuenahr\",\"Germany\",\"\",\"EDRA\",50.5578,7.13639,673,1,\"E\",\"Europe/Berlin\"\n", + "8120,\"Bad Duerkheim Airport\",\"Bad Duerkheim\",\"Germany\",\"\",\"EDRF\",49.4731,8.19639,351,1,\"E\",\"Europe/Berlin\"\n", + "8121,\"Portland Troutdale\",\"Troutdale\",\"United States\",\"TTD\",\"KTTD\",45.54937,-122.401253,39,-8,\"A\",\"America/Los_Angeles\"\n", + "8122,\"Portland Hillsboro\",\"Hillsboro\",\"United States\",\"HIO\",\"KHIO\",45.540394,-122.949825,204,-8,\"A\",\"America/Los_Angeles\"\n", + "8123,\"One Police Plaza Heliport\",\"New York\",\"United States\",\"\",\"NK39\",40.7126,-73.9996,244,-5,\"A\",\"America/New_York\"\n", + "8124,\"Leverkusen Airport\",\"Leverkusen\",\"Germany\",\"\",\"EDKL\",51.0153,7.00556,157,1,\"E\",\"Europe/Berlin\"\n", + "8125,\"Suwannee County Airport\",\"Live Oak\",\"United States\",\"24J\",\\N,30.300125,-83.0246944,104,-5,\"A\",\"America/New_York\"\n", + "8126,\"Wershofen Eifel\",\"Wershofen\",\"Germany\",\"\",\"EDRV\",50.451667,6.784444,1560,1,\"E\",\"Europe/Berlin\"\n", + "8127,\"FOB Salerno\",\"Khost\",\"Afghanistan\",\"KHT\",\"OAKS\",33.3334,69.952,3756,4.5,\"N\",\"Asia/Kabul\"\n", + "8128,\"TCO\",\"Tengiz\",\"Kazakhstan\",\"\",\\N,46.303056,53.4275,0,5,\"U\",\"Asia/Oral\"\n", + "8129,\"TCO\",\"Tengiz\",\"Kazakhstan\",\"\",\\N,46.303056,53.4275,0,5,\"U\",\"Asia/Oral\"\n", + "8130,\"NAYPYITAW\",\"NAYPYITAW\",\"Burma\",\"NYT\",\"VYNT\",19.374,96.121,294,6.5,\"N\",\"Asia/Rangoon\"\n", + "8132,\"Maramba Aerodrome\",\"Livingstone\",\"Zambia\",\"\",\\N,-17.8846,25.8468,0,2,\"U\",\"Africa/Lusaka\"\n", + "8133,\"Bend Municipal Airport\",\"Bend\",\"United States\",\"\",\"KBDN\",44.0945556,-121.2002222,3460,-8,\"A\",\"America/Los_Angeles\"\n", + "8134,\"Christmas Valley Airport\",\"Christmas Valley\",\"United States\",\"\",\"K62S\",43.2365314,-120.6660967,4317,-8,\"A\",\"America/Los_Angeles\"\n", + "8135,\"Burns Municipal Airport\",\"Burns\",\"United States\",\"\",\"KBNO\",43.5919167,-118.95554444,4159,-8,\"A\",\"America/Los_Angeles\"\n", + "8136,\"Prineville Airport\",\"Prineville\",\"United States\",\"\",\"KS39\",44.2869939,-120.9038328,3250,-8,\"A\",\"America/Los_Angeles\"\n", + "8137,\"Red Bluff Municipal Airport\",\"Red Bluff\",\"United States\",\"\",\"KRBL\",40.1506944,-122.2523056,352,-8,\"A\",\"America/Los_Angeles\"\n", + "8138,\"Gnoss Field Airport\",\"Novato\",\"United States\",\"\",\"KDVO\",38.1436111,-122.5561,2,-8,\"A\",\"America/Los_Angeles\"\n", + "8139,\"Lake County Airport\",\"Lakeview\",\"United States\",\"\",\"KLKV\",42.1611111,-120.3990833,4733,-8,\"A\",\"America/Los_Angeles\"\n", + "8140,\"Tillamook Airport\",\"Tillamook\",\"United States\",\"\",\"KTMK\",45.4182419,-123.8143839,36,-8,\"A\",\"America/Los_Angeles\"\n", + "8141,\"Ontario Municipal Airport\",\"Ontario\",\"United States\",\"\",\"KONO\",44.0193611,-117.0130278,2193,-7,\"A\",\"America/Denver\"\n", + "8142,\"Columbia Gorge Regional - The Dalles Municipal Airport\",\"The Dalles\",\"United States\",\"\",\"KDLS\",45.6185556,-121.1673333,247,-8,\"A\",\"America/Los_Angeles\"\n", + "8143,\"Montgomery County Airpark\",\"Gaithersburg\",\"United States\",\"GAI\",\"KGAI\",39.1006,-77.09576,0,-5,\"A\",\"America/New_York\"\n", + "8144,\"Cincinnati Union Terminal\",\"Cincinnati\",\"United States\",\"\",\\N,39.109961,-84.537074,497,-5,\"A\",\"America/New_York\"\n", + "8145,\"FOB Sharana\",\"Sharan\",\"Afghanistan\",\"\",\\N,33.12777215,68.8369847,7400,4.5,\"N\",\"Asia/Kabul\"\n", + "8146,\"Sharona\",\"Sharona\",\"Afghanistan\",\"AZ3\",\"OASA\",33.1277215,68.8369847,7400,4.5,\"N\",\"Asia/Kabul\"\n", + "8147,\"Pembroke Airport\",\"Pembroke\",\"Canada\",\"YTA\",\"CYTA\",45.864399,-77.251701,529,-5,\"A\",\"America/Toronto\"\n", + "8148,\"Tsumeb Airport\",\"Tsumeb\",\"Namibia\",\"TSB\",\"FYTM\",-19.1542,17.4357,4353,1,\"U\",\"Africa/Windhoek\"\n", + "8149,\"Suffield Heliport\",\"Suffield\",\"Canada\",\"YSD\",\"CYSD\",50.2666701,-111.182999,2525,-7,\"A\",\"America/Edmonton\"\n", + "8150,\"Field 21\",\"Wainwright\",\"Canada\",\"\",\\N,52.830601,-111.100998,2260,-7,\"A\",\"America/Edmonton\"\n", + "8151,\"Field 21\",\"Wainwright\",\"Canada\",\"\",\\N,52.830601,-111.100998,2260,-7,\"A\",\"America/Edmonton\"\n", + "8152,\"Aeroporto Blumenau\",\"BLUMENAU\",\"Brazil\",\"BNU\",\"SSBL\",-26.834239,-49.091696,70,-3,\"S\",\"America/Sao_Paulo\"\n", + "8153,\"Aeroclub Mures\",\"Targu Mures\",\"Romania\",\"\",\"LRMS\",46.3201,24.3157,1000,2,\"E\",\"Europe/Bucharest\"\n", + "8154,\"Aeroclub Sibiu\",\"Sibiu\",\"Romania\",\"\",\\N,45.4649,24.053,1451,2,\"E\",\"Europe/Bucharest\"\n", + "8155,\"Aeroclub Sibiu\",\"Sibiu\",\"Romania\",\"SIB\",\\N,45.4649,24.053,1451,2,\"E\",\"Europe/Bucharest\"\n", + "8156,\"Bolshoe Gryzlovo\",\"Stupino\",\"Russia\",\"\",\"UUDG\",54.786667,37.649167,797,4,\"N\",\"Europe/Moscow\"\n", + "8157,\"Aerodrom Cioca\",\"Timisoara\",\"Romania\",\"\",\\N,46.436,24.4445,280,2,\"E\",\"Europe/Bucharest\"\n", + "8158,\"Aeroclub Cioca\",\"Timisoara\",\"Romania\",\"CIO\",\"LRT2\",45.471009,21.111967,280,2,\"E\",\"Europe/Bucharest\"\n", + "8159,\"Crocodile Camp Air Strip\",\"Tsavo East\",\"Kenya\",\"\",\\N,-3.0764,39.2428,0,3,\"U\",\"Africa/Nairobi\"\n", + "8160,\"Crocodile Camp Air Strip\",\"Tsavo East\",\"Kenya\",\"\",\\N,-3.0764,39.2428,0,3,\"U\",\"Africa/Nairobi\"\n", + "8161,\"Cleveland Clinic\",\"Cleveland\",\"United States\",\"\",\"CCLN\",41.50225,-81.62233,0,-5,\"A\",\"America/New_York\"\n", + "8162,\"Charlevoix Municipal Airport\",\"Charelvoix\",\"United States\",\"CVX\",\"KCVX\",45.3047778,-85.2753333,669,-5,\"A\",\"America/New_York\"\n", + "8163,\"Quincy Municipal Airport\",\"Quincy\",\"United States\",\"2J9\",\\N,30.5978708,-84.557425,225,-5,\"A\",\"America/New_York\"\n", + "8164,\"Pferdsfeld\",\"Pferdsfeld\",\"Germany\",\"\",\"ETSP\",49.857778,7.604167,492,1,\"E\",\"Europe/Berlin\"\n", + "8165,\"Mykines Heliport\",\"Mykines\",\"Faroe Islands\",\"\",\"EKMS\",62.1021,-7.6459,112,0,\"E\",\"Atlantic/Faeroe\"\n", + "8166,\"V-A Waterfront\",\"Cape Town\",\"South Africa\",\"\",\\N,-33.901161,18.425896,0,2,\"N\",\"Africa/Johannesburg\"\n", + "8167,\"Steenberg Helipad\",\"Cape Town\",\"South Africa\",\"\",\\N,-34.070582,18.424067,50,2,\"N\",\"Africa/Johannesburg\"\n", + "8168,\"Steenberg Helipad\",\"Cape Town\",\"South Africa\",\"\",\\N,-34.070582,18.424067,50,2,\"N\",\"Africa/Johannesburg\"\n", + "8170,\"Roche Harbor Seaplane Base\",\"Roche Harbor\",\"United States\",\"RCE\",\\N,48.608056,-123.159722,0,-8,\"A\",\"America/Los_Angeles\"\n", + "8171,\"Blakely Island Airport\",\"Blakely Island\",\"United States\",\"BYW\",\\N,48.56025,-122.80243,0,-8,\"A\",\"America/Los_Angeles\"\n", + "8172,\"Rosario Seaplane Base\",\"Rosario\",\"United States\",\"RSJ\",\\N,48.645556,-122.868056,0,-8,\"A\",\"America/Los_Angeles\"\n", + "8173,\"Westsound Seaplane Base\",\"Westsound\",\"United States\",\"WSX\",\\N,48.617778,-122.952778,0,-8,\"A\",\"America/Los_Angeles\"\n", + "8174,\"Friday Harbor Seaplane Base\",\"Friday Harbor\",\"United States\",\"FBS\",\\N,48.537222,-123.009722,0,-8,\"A\",\"America/Los_Angeles\"\n", + "8175,\"Big Bay Water Aerodrome\",\"Big Bay\",\"Canada\",\"YRR\",\\N,50.4,-125.133333,0,-8,\"A\",\"America/Vancouver\"\n", + "8176,\"Furnace Creek\",\"Death Valley National Park\",\"United States\",\"L06\",\\N,36.273,-116.515,0,-8,\"A\",\"America/Los_Angeles\"\n", + "8177,\"Cornwall Regional Airport\",\"Cornwall\",\"Canada\",\"YCC\",\"CYCC\",45.092778,-74.567778,175,-5,\"A\",\"America/Toronto\"\n", + "8178,\"Seppe\",\"Bosschenhoofd\",\"Netherlands\",\"\",\"EHSE\",51.3317,4.339,30,1,\"E\",\"Europe/Brussels\"\n", + "8179,\"St.Stephan\",\"St.Stephan\",\"Switzerland\",\"\",\"LSTS\",46.497442,7.412572,3304,1,\"E\",\"Europe/Zurich\"\n", + "8180,\"Zona da Mata Regional Airport\",\"Juiz de Fora\",\"Brazil\",\"IZA\",\"SDZY\",-21.5130558014,-43.1730575562,1348,-3,\"S\",\"America/Sao_Paulo\"\n", + "8181,\"Aeroclub Ghimbav\",\"Brasov\",\"Romania\",\"\",\"LRBG\",45.4153,25.3137,1743,2,\"E\",\"Europe/Bucharest\"\n", + "8182,\"Flagler County Airport\",\"Flagler\",\"United States\",\"XFL\",\"KXFL\",29.2821,-81.1212,33,-5,\"A\",\"America/New_York\"\n", + "8183,\"Aeroclub Deva\",\"Deva\",\"Romania\",\"DVA\",\\N,45.5153,22.5813,615,2,\"U\",\"Europe/Bucharest\"\n", + "8184,\"Aeroclub Cluj\",\"Dezmir\",\"Romania\",\"DZM\",\\N,46.4643,23.4258,1019,2,\"U\",\"Europe/Bucharest\"\n", + "8185,\"Antarctica\",\"Antarctica\",\"Antarctica\",\"\",\\N,-66,90,8000,12,\"U\",\"Antarctica/South_Pole\"\n", + "8186,\"Antarctica\",\"Antarctica\",\"Antarctica\",\"\",\\N,-66,90,8000,12,\"N\",\"Antarctica/South_Pole\"\n", + "8187,\"Morrisville Stowe State Airport\",\"Morrisville\",\"United States\",\"MVL\",\"KMVL\",44.535,-72.614,732,-5,\"A\",\"America/New_York\"\n", + "8188,\"Dallas Executive Airport\",\"Dallas\",\"United States\",\"RBD\",\"KRBD\",32.680833,-96.868333,201,-6,\"A\",\"America/Chicago\"\n", + "8189,\"Como Water AD\",\"Como\",\"Italy\",\"\",\"LILY\",45.4853,9.0411,663,1,\"E\",\"Europe/Rome\"\n", + "8190,\"Superficie Cielo Blu\",\"Vellezzo Bellini\",\"Italy\",\"\",\\N,45.283855,9.111979,350,1,\"E\",\"Europe/Rome\"\n", + "8191,\"Welke Airport\",\"Beaver Island\",\"United States\",\"6Y8\",\\N,45.721111,-85.520278,664,-5,\"A\",\"America/New_York\"\n", + "8192,\"Krainiy\",\"Baikonur\",\"Kazakhstan\",\"\",\"UAOL\",45.6183,63.2144,328,6,\"U\",\"Asia/Qyzylorda\"\n", + "8193,\"MOW\",\"Moscow\",\"Russia\",\"MOW\",\\N,55.7557,37.6176,0,4,\"N\",\"Europe/Moscow\"\n", + "8194,\"Westerly State Airport\",\"Washington County\",\"United States\",\"WST\",\"KWST\",41.349722,-71.803333,81,-5,\"A\",\"America/New_York\"\n", + "8195,\"Block Island State Airport\",\"Block Island\",\"United States\",\"BID\",\"KBID\",41.168056,-71.577778,108,-5,\"A\",\"America/New_York\"\n", + "8196,\"Atmautluak Airport\",\"Atmautluak\",\"United States\",\"\",\\N,60.866667,-162.273056,18,-9,\"A\",\"America/Anchorage\"\n", + "8197,\"Atmautluak Airport\",\"Atmautluak\",\"United States\",\"\",\\N,60.866667,-162.273056,18,-9,\"A\",\"America/Anchorage\"\n", + "8198,\"Atmautluak Airport\",\"Atmautluak\",\"United States\",\"369\",\\N,60.866667,-162.273056,18,-9,\"A\",\"America/Anchorage\"\n", + "8199,\"Nightmute Airport\",\"Nightmute\",\"United States\",\"NME\",\"PAGT\",60.471111,-164.700833,4,-9,\"A\",\"America/Anchorage\"\n", + "8200,\"Toksook Bay Airport\",\"Toksook Bay\",\"United States\",\"OOK\",\"PAOO\",60.541389,-165.087222,59,-9,\"A\",\"America/Anchorage\"\n", + "8201,\"Tununak Airport\",\"Tununak\",\"United States\",\"TNK\",\\N,60.575556,-165.271667,14,-9,\"A\",\"America/Anchorage\"\n", + "8202,\"Goodnews Airport\",\"Goodnews Bay\",\"United States\",\"GNU\",\\N,59.1175,-161.5775,15,-9,\"A\",\"America/Anchorage\"\n", + "8203,\"Newtok Airport\",\"Newtok\",\"United States\",\"WWT\",\\N,60.939167,-164.641111,25,-9,\"U\",\"America/Anchorage\"\n", + "8204,\"Achutupo Airport\",\"Achutupo\",\"Panama\",\"ACU\",\\N,9.2,-77.98,0,-5,\"U\",\"America/Panama\"\n", + "8205,\"Tubuala Airport\",\"Tubuala\",\"Panama\",\"TUW\",\\N,9.52,-79.03,0,-5,\"U\",\"America/Panama\"\n", + "8206,\"Garachine Airport\",\"Garachine\",\"Panama\",\"GHE\",\\N,8.06,-78.36,0,-5,\"U\",\"America/Panama\"\n", + "8207,\"Mulatupo Airport\",\"Mulatupo\",\"Panama\",\"MPP\",\\N,8.95,-77.75,0,-5,\"U\",\"America/Panama\"\n", + "8208,\"Ittoqqortoormiit Heliport\",\"Ittoqqortoormiit\",\"Greenland\",\"OBY\",\"BGSC\",70.485278,-21.966667,238,-1,\"U\",\"America/Scoresbysund\"\n", + "8209,\"Vinnitsa\",\"Vinnitsa\",\"Ukraine\",\"VIN\",\"UKWW\",49.2433,28.6063,900,2,\"E\",\"Europe/Kiev\"\n", + "8210,\"Gent Sint-Pieters\",\"Gent\",\"Belgium\",\"\",\\N,51.0352,3.7097,130,1,\"E\",\"Europe/Brussels\"\n", + "8211,\"Brugge\",\"Bruges\",\"Belgium\",\"\",\\N,51.1972,3.2172,120,1,\"E\",\"Europe/Brussels\"\n", + "8212,\"Brugge\",\"Bruges\",\"Belgium\",\"\",\\N,51.1972,3.2172,130,1,\"E\",\"Europe/Brussels\"\n", + "8213,\"Shin-yokohama-eki\",\"Yokohama\",\"Japan\",\"\",\\N,35.5075,139.6175,50,9,\"N\",\"Asia/Tokyo\"\n", + "8214,\"Angers St Laud\",\"Angers\",\"France\",\"QXG\",\\N,47.464714,-0.556405,300,1,\"E\",\"Europe/Paris\"\n", + "8215,\"Decatur County Industrial Air Park\",\"Bainbridge\",\"United States\",\"BGE\",\"KBGE\",30.9715981,-84.6369278,141,-5,\"A\",\"America/New_York\"\n", + "8216,\"La Romaine Airport\",\"La Romaine\",\"Canada\",\"\",\"CTT5\",50.257222,-60.669167,90,-4,\"A\",\"America/Blanc-Sablon\"\n", + "8217,\"Kegaska Airport\",\"Kegaska\",\"Canada\",\"ZKG\",\"CTK6\",50.195833,-61.265833,32,-4,\"A\",\"America/Blanc-Sablon\"\n", + "8218,\"Black Tickle Airport\",\"Black Tickle\",\"Canada\",\"YBI\",\"CCE4\",53.47,-55.7875,57,-4,\"A\",\"America/Halifax\"\n", + "8219,\"Silver Springs Airport\",\"Silver Springs\",\"United States\",\"SPZ\",\"KSPZ\",39.4030278,-119.2511944,4269,-8,\"A\",\"America/Los_Angeles\"\n", + "8220,\"Whiteman Airport\",\"Los Angeles\",\"United States\",\"WHP\",\"KWHP\",34.2593253,-118.4134331,1003,-8,\"A\",\"America/Los_Angeles\"\n", + "8221,\"Madera Municipal Airport\",\"Madera\",\"United States\",\"MAE\",\"KMAE\",36.9886111,-120.1124444,255,-8,\"A\",\"America/Los_Angeles\"\n", + "8222,\"Mountain Home Municipal Airport\",\"Mountain Home\",\"United States\",\"U76\",\\N,43.1316111,-115.7305671,3167,-7,\"A\",\"America/Denver\"\n", + "8223,\"Trail Airport\",\"Trail\",\"Canada\",\"YZZ\",\"CAD4\",49.055556,-117.609167,1427,-8,\"A\",\"America/Vancouver\"\n", + "8224,\"Victoria Airport Water Aerodrome\",\"Patricia Bay\",\"Canada\",\"\",\"CAP5\",48.65,-123.45,0,-8,\"A\",\"America/Vancouver\"\n", + "8225,\"Arctic Bay Airport\",\"Arctic Bay\",\"Canada\",\"YAB\",\"CJX7\",73.006389,-85.047222,72,-6,\"A\",\"America/Winnipeg\"\n", + "8226,\"Hope Bay Aerodrome\",\"Hope Bay\",\"Canada\",\"\",\"CHB3\",68.163889,-106.614444,125,-7,\"A\",\"America/Edmonton\"\n", + "8227,\"Hector Silva Airstrip\",\"Belmopan\",\"Belize\",\"BCV\",\\N,17.269444,-88.776111,50,-6,\"U\",\"America/Belize\"\n", + "8228,\"Grand-Santi Airport\",\"Grand-Santi\",\"French Guiana\",\"\",\"SOGS\",4.283333,-54.381111,186,-3,\"S\",\"America/Cayenne\"\n", + "8229,\"Maripasoula Airport\",\"Maripasoula\",\"French Guiana\",\"MPY\",\"SOOA\",3.6575,-54.037222,377,-3,\"S\",\"America/Cayenne\"\n", + "8230,\"Saint-Laurent-du-Maroni Airport\",\"Saint-Laurent-du-Maroni\",\"French Guiana\",\"LDX\",\"SOOM\",5.483056,-54.034444,17,-3,\"S\",\"America/Cayenne\"\n", + "8231,\"Cayana Airstrip\",\"Cayana\",\"Suriname\",\"AAJ\",\\N,3.898611,-55.577778,50,-3,\"S\",\"America/Paramaribo\"\n", + "8232,\"Laduani Airstrip\",\"Laduani\",\"Suriname\",\"LDO\",\\N,4.3754,-55.4075,50,-3,\"S\",\"America/Paramaribo\"\n", + "8233,\"Kanas Airport\",\"Burqin\",\"China\",\"KJI\",\"ZWKN\",48.221111,86.998056,3900,8,\"U\",\"Asia/Chongqing\"\n", + "8234,\"Capurgana Airport\",\"Capurgana\",\"Colombia\",\"CPB\",\"SKCA\",8.616667,-77.333333,100,-5,\"S\",\"America/Bogota\"\n", + "8235,\"Sohag International\",\"Sohag\",\"Egypt\",\"HMB\",\"HEMK\",26.341189,31.742983,859,2,\"E\",\"Africa/Cairo\"\n", + "8236,\"Rivera International Airport\",\"Rivera\",\"Uruguay\",\"RVY\",\"SURV\",-30.974444,-55.476111,712,-3,\"S\",\"America/Montevideo\"\n", + "8237,\"Patos de Minas Airport\",\"Patos de Minas\",\"Brazil\",\"POJ\",\"SNPD\",-18.672778,-46.491111,851,-3,\"S\",\"America/Sao_Paulo\"\n", + "8238,\"Bauru-Arealva\",\"Bauru\",\"Brazil\",\"JTC\",\"SJTC\",-22.157778,-49.068333,594,-3,\"S\",\"America/Sao_Paulo\"\n", + "8239,\"Ourilandia do Norte Airport\",\"Ourilandia do Norte\",\"Brazil\",\"OIA\",\"SDOW\",-6.763056,-51.05,229,-4,\"S\",\"America/Boa_Vista\"\n", + "8240,\"Redencao Airport\",\"Redencao\",\"Brazil\",\"RDC\",\"SNDC\",-8.033333,-49.98,669,-4,\"S\",\"America/Boa_Vista\"\n", + "8241,\"Sao Felix do Xingu Airport\",\"Sao Felix do Xingu\",\"Brazil\",\"SXX\",\"SNFX\",-6.641389,-51.952222,656,-4,\"S\",\"America/Boa_Vista\"\n", + "8242,\"Bonito Airport\",\"Bointo\",\"Brazil\",\"BYO\",\"SJDB\",-21.247222,-56.4525,1180,-4,\"S\",\"America/Campo_Grande\"\n", + "8243,\"Sao Felix do Araguaia Airport\",\"Sao Felix do Araguaia\",\"Brazil\",\"SXO\",\"SWFX\",-11.6325,-50.689444,650,-4,\"S\",\"America/Campo_Grande\"\n", + "8244,\"Carlos Alberto da Costa Neves Airport\",\"Cacador\",\"Brazil\",\"CFC\",\"SBCD\",-26.788333,-50.939722,3376,-3,\"S\",\"America/Sao_Paulo\"\n", + "8245,\"Carauari Airport\",\"Carauari\",\"Brazil\",\"CAF\",\"SWCA\",-4.871389,-66.8975,354,-4,\"S\",\"America/Boa_Vista\"\n", + "8246,\"Porto Urucu\",\"Porto Urucu\",\"Brazil\",\"\",\"SWUY\",-4.884167,-65.355556,210,-4,\"S\",\"America/Boa_Vista\"\n", + "8247,\"Amaury Feitosa Tomaz Airport\",\"Eirunepe\",\"Brazil\",\"ERN\",\"SWEI\",-6.639444,-69.879722,412,-4,\"S\",\"America/Boa_Vista\"\n", + "8248,\"Concordia Airport\",\"Concordia\",\"Brazil\",\"CCI\",\"SSCK\",-27.180556,-52.052778,2461,-3,\"S\",\"America/Sao_Paulo\"\n", + "8249,\"Paulo Abdala Airport\",\"Francisco Beltrao\",\"Brazil\",\"FBE\",\"SSFB\",-26.059167,-53.063333,2100,-3,\"S\",\"America/Sao_Paulo\"\n", + "8250,\"Confresa Airport\",\"Confresa\",\"Brazil\",\"CFO\",\"SJHG\",-10.633611,-51.567222,250,-4,\"S\",\"America/Campo_Grande\"\n", + "8251,\"Jackson County Airport\",\"Jefferson\",\"United States\",\"19A\",\\N,34.1758638,-83.5615972,951,-5,\"U\",\"America/New_York\"\n", + "8252,\"Apalachicola Regional Airport\",\"Apalachicola\",\"United States\",\"AAF\",\"KAAF\",29.7276066,-85.0274416,20,-5,\"A\",\"America/New_York\"\n", + "8253,\"Orlando de Carvalho Airport\",\"Umuarama\",\"Brazil\",\"UMU\",\"SSUM\",-23.798611,-53.313611,1558,-3,\"S\",\"America/Sao_Paulo\"\n", + "8254,\"Diamantina Airport\",\"Diamantina\",\"Brazil\",\"DTI\",\"SNDT\",-18.231944,-43.650278,4446,-3,\"S\",\"America/Sao_Paulo\"\n", + "8255,\"Fonte Boa Airport\",\"Fonte Boa\",\"Brazil\",\"FBA\",\"SWOB\",-2.5325,-66.083333,207,-4,\"S\",\"America/Boa_Vista\"\n", + "8256,\"Senadora Eunice Micheles Airport\",\"Sao Paulo de Olivenca\",\"Brazil\",\"OLC\",\"SDCG\",-3.465556,-68.918889,335,-4,\"S\",\"America/Boa_Vista\"\n", + "8257,\"Humaita Airport\",\"Humaita\",\"Brazil\",\"HUW\",\"SWHT\",-7.532222,-63.072222,230,-4,\"S\",\"America/Boa_Vista\"\n", + "8258,\"Tapuruquara Airport\",\"Santa Isabel do Rio Negro\",\"Brazil\",\"IRZ\",\"SWTP\",-0.416944,-65.033889,223,-4,\"S\",\"America/Boa_Vista\"\n", + "8259,\"Oriximina Airport\",\"Oriximina\",\"Brazil\",\"ORX\",\"SNOX\",-1.714167,-55.836111,262,-4,\"S\",\"America/Boa_Vista\"\n", + "8260,\"Una-Comandatuba Airport\",\"Una\",\"Brazil\",\"UNA\",\"SBTC\",-15.355278,-38.998889,20,-3,\"S\",\"America/Fortaleza\"\n", + "8261,\"Algeciras Heliport\",\"Algeciras\",\"Spain\",\"\",\\N,36.128889,-5.441111,98,1,\"E\",\"Europe/Madrid\"\n", + "8262,\"Algeciras Heliport\",\"Algeciras\",\"Spain\",\"\",\\N,36.128889,-5.441111,98,1,\"E\",\"Europe/Madrid\"\n", + "8263,\"Kai Tak International Airport \",\"Hong Kong\",\"Hong Kong\",\"\",\\N,22.3177,114.202,30,8,\"U\",\"Asia/Hong_Kong\"\n", + "8264,\"Kai Tak International Airport \",\"Hong Kong\",\"Hong Kong\",\"\",\\N,22.3177,114.202,30,8,\"U\",\"Asia/Hong_Kong\"\n", + "8265,\"Telfer Airport\",\"Telfer\",\"Australia\",\"TEF\",\"YTEF\",-21.713057,122.21222,970,8,\"N\",\"Australia/Perth\"\n", + "8266,\"Gazipasa Airport\",\"Alanya\",\"Turkey\",\"GZP\",\"LTFG\",36.2993,32.3014,92,2,\"E\",\"Europe/Istanbul\"\n", + "8267,\"FOB Shank\",\"Shank\",\"Afghanistan\",\"\",\"OASH\",33.921369,69.07813,6614,4.5,\"N\",\"Asia/Kabul\"\n", + "8268,\"St. Augustine Airport\",\"St. Augustine\",\"United States\",\"SGJ\",\\N,29.95925,-81.3397222,10,-5,\"A\",\"America/New_York\"\n", + "8269,\"Londolozi\",\"Londolozi\",\"South Africa\",\"LDZ\",\\N,-24.8333,31.5,3510,2,\"N\",\"Africa/Johannesburg\"\n", + "8270,\"Singita Sabi Sands\",\"Sabi Sands\",\"South Africa\",\"\",\\N,-24.84,31.41,3500,2,\"N\",\"Africa/Johannesburg\"\n", + "8271,\"Singita Sabi Sands\",\"Sabi Sands\",\"South Africa\",\"\",\\N,-24.84,31.41,3500,2,\"N\",\"Africa/Johannesburg\"\n", + "8272,\"Singita Sabi Sands\",\"Sabi Sands\",\"South Africa\",\"INY\",\\N,-24.815,31.42,1200,2,\"N\",\"Africa/Johannesburg\"\n", + "8273,\"Douglas Municipal Airport\",\"Douglas\",\"United States\",\"DQH\",\"KDQH\",31.4767385,-82.8605664,257,-5,\"A\",\"America/New_York\"\n", + "8274,\"St Lucie County International Airport\",\"Fort Pierce\",\"United States\",\"FRP\",\"KFPR\",27.497472,-80.372638,23,-5,\"A\",\"America/New_York\"\n", + "8275,\"Alexandria\",\"Alexandria\",\"United States\",\"ALX\",\"ALX_\",38.806346,-77.0621,1,-5,\"A\",\"America/New_York\"\n", + "8276,\"Taunton Municipal Airport - King Field\",\"Taunton\",\"United States\",\"TAN\",\"KTAN\",41.8744017,-71.0166453,43,-5,\"A\",\"America/New_York\"\n", + "8277,\"Plymouth Municipal Airport\",\"Plymouth\",\"United States\",\"PYM\",\"KPYM\",41.9090278,-70.7287778,148,-5,\"A\",\"America/New_York\"\n", + "8278,\"Quonset State Airport\",\"North Kingstown\",\"United States\",\"OQU\",\"KOQU\",41.5971389,-71.4121389,18,-5,\"A\",\"America/New_York\"\n", + "8279,\"Mansfield Municipal\",\"Mansfield\",\"United States\",\"1B9\",\\N,42.0001331,-71.1967714,122,-5,\"A\",\"America/New_York\"\n", + "8280,\"Norwood Memorial Airport\",\"Norwood\",\"United States\",\"OWD\",\"KOWD\",42.1905278,-71.1729444,49,-5,\"A\",\"America/New_York\"\n", + "8281,\"Barnes Municipal\",\"Westfield\",\"United States\",\"BAF\",\"KBAF\",42.1579472,-72.715875,270,-5,\"A\",\"America/New_York\"\n", + "8282,\"Windham Airport\",\"Willimantic\",\"United States\",\"IJD\",\"KIJD\",41.7440278,-72.1802222,246,-5,\"A\",\"America/New_York\"\n", + "8283,\"Orange County Airport\",\"Montgomery\",\"United States\",\"MGJ\",\"KMGJ\",41.5099884,-74.2646444,364,-5,\"A\",\"America/New_York\"\n", + "8284,\"Capital City Airport\",\"Harrisburg\",\"United States\",\"CXY\",\"KCXY\",40.2171389,-76.8513611,347,-5,\"A\",\"America/New_York\"\n", + "8285,\"Marshfield Municipal Airport\",\"Marshfield\",\"United States\",\"GHG\",\"KGHG\",42.09825,-70.6721389,9,-5,\"A\",\"America/New_York\"\n", + "8286,\"Danbury Municipal Airport\",\"Danbury\",\"United States\",\"DXR\",\"KDXR\",41.3715353,-73.4821906,458,-5,\"A\",\"America/New_York\"\n", + "8287,\"Boire Field Airport\",\"Nashua\",\"United States\",\"ASH\",\"KASH\",42.78175,-71.5147778,199,-5,\"A\",\"America/New_York\"\n", + "8288,\"Lawrence Municipal Airport\",\"Lawrence\",\"United States\",\"LWM\",\"KLWM\",42.7171944,-71.1234167,148,-5,\"A\",\"America/New_York\"\n", + "8289,\"Waterbury-Oxford Airport\",\"Oxford\",\"United States\",\"OXC\",\"KOXC\",41.4785556,-73.13525,726,-5,\"A\",\"America/New_York\"\n", + "8290,\"Fitchburg Municipal Airport\",\"Fitchburg\",\"United States\",\"FIT\",\"KFIT\",42.5541111,-71.7589722,348,-5,\"A\",\"America/New_York\"\n", + "8291,\"Stockmar Airport\",\"Villa Rica\",\"United States\",\"\",\"20GA\",33.7565556,-84.8850625,1110,-5,\"A\",\"America/New_York\"\n", + "8292,\"Cartersville Airport\",\"Cartersville\",\"United States\",\"VPC\",\"KVPC\",34.1231475,-84.8487067,759,-5,\"A\",\"America/New_York\"\n", + "8293,\"Centre-Piedmont-Cherokee County Regional Airport\",\"Centre\",\"United States\",\"PYP\",\"KPYP\",34.0899167,-85.6100833,595,-6,\"A\",\"America/Chicago\"\n", + "8294,\"Richard B Russell Airport\",\"Rome\",\"United States\",\"RMG\",\"KRMG\",34.3507778,-85.1586667,664,-5,\"A\",\"America/New_York\"\n", + "8295,\"Northeast Alabama Regional Airport\",\"Gadsden\",\"United States\",\"GAD\",\"KGAD\",33.9726489,-86.0890834,569,-6,\"A\",\"America/Chicago\"\n", + "8296,\"Knoxville Downtown Island Airport\",\"Knoxville\",\"United States\",\"DKX\",\"KDKX\",35.9638333,-83.8736667,833,-5,\"A\",\"America/New_York\"\n", + "8297,\"Barrow County Airport\",\"Winder\",\"United States\",\"WDR\",\"KWDR\",33.9828611,-83.6674167,943,-5,\"A\",\"America/New_York\"\n", + "8298,\"Plantation Airpark\",\"Sylvania\",\"United States\",\"JYL\",\"KJYL\",32.6452778,-81.5971111,188,-5,\"A\",\"America/New_York\"\n", + "8299,\"Dalton Municipal Airport\",\"Dalton\",\"United States\",\"DNN\",\"KDNN\",34.7229444,-84.87025,709,-5,\"A\",\"America/New_York\"\n", + "8300,\"West Georgia Regional Airport - O V Gray Field\",\"Carrollton\",\"United States\",\"CTJ\",\"KCTJ\",33.6316964,-85.1522641,1165,-5,\"A\",\"America/New_York\"\n", + "8301,\"Isbell Field Airport\",\"Fort Payne\",\"United States\",\"4A9\",\\N,34.4736944,-85.7213889,877,-6,\"A\",\"America/Chicago\"\n", + "8302,\"LaGrange-Callaway Airport\",\"LaGrange\",\"United States\",\"LGC\",\"KLGC\",33.0088611,-85.0726111,694,-5,\"A\",\"America/New_York\"\n", + "8303,\"Baldwin County Airport\",\"Milledgeville\",\"United States\",\"MLJ\",\"KMLJ\",33.154225,-83.2414139,385,-5,\"A\",\"America/New_York\"\n", + "8304,\"Polk County Airport - Cornelius Moore Field\",\"Cedartown\",\"United States\",\"4A4\",\\N,34.0186944,-85.1464722,974,-5,\"A\",\"America/New_York\"\n", + "8305,\"Harris County Airport\",\"Pine Mountain\",\"United States\",\"PIM\",\"KPIM\",32.8406944,-84.8824444,902,-5,\"A\",\"America/New_York\"\n", + "8306,\"Atlanta Regional Airport - Falcon Field\",\"Atlanta\",\"United States\",\"FFC\",\"KFFC\",33.35725,-84.5718333,808,-5,\"A\",\"America/New_York\"\n", + "8307,\"Covington Municipal Airport\",\"Covington\",\"United States\",\"9A1\",\\N,33.6323083,-83.8474472,809,-5,\"A\",\"America/New_York\"\n", + "8308,\"Lee Gilmer Memorial Airport\",\"Gainesville\",\"United States\",\"GVL\",\"KGVL\",34.272627,-83.8302233,1276,-5,\"A\",\"America/New_York\"\n", + "8309,\"Cherokee County Airport\",\"Canton\",\"United States\",\"\",\"KCNI\",34.3122175,-84.4221556,1219,-5,\"A\",\"America/New_York\"\n", + "8310,\"DeFuniak Springs Airport\",\"DeFuniak Springs\",\"United States\",\"54J\",\\N,30.7311111,-86.1537778,289,-6,\"A\",\"America/Chicago\"\n", + "8311,\"Barwick Lafayette Airport\",\"LaFayette\",\"United States\",\"9A5\",\\N,34.6884792,-85.2903319,777,-5,\"A\",\"America/New_York\"\n", + "8312,\"Harry Clever Field Airport\",\"New Philadelpha\",\"United States\",\"PHD\",\"KPHD\",40.4701667,-81.4199444,894,-5,\"A\",\"America/New_York\"\n", + "8313,\"Darlington County Jetport\",\"Darlington\",\"United States\",\"UDG\",\"KUDG\",34.4493845,-79.8900608,192,-5,\"A\",\"America/New_York\"\n", + "8314,\"Hilton Head Airport\",\"Hilton Head Island\",\"United States\",\"HXD\",\"KHXD\",32.2243611,-80.6974722,19,-5,\"A\",\"America/New_York\"\n", + "8315,\"Gilmer County Airport\",\"Ellijay\",\"United States\",\"49A\",\\N,34.6282222,-84.5265833,1486,-5,\"A\",\"America/New_York\"\n", + "8316,\"Elizabethton Municipal Airport\",\"Elizabethton\",\"United States\",\"0A9\",\\N,36.3712222,-82.1734167,1593,-5,\"A\",\"America/New_York\"\n", + "8317,\"Moton Field Municipal Airport\",\"Tuskegee\",\"United States\",\"06A\",\\N,32.4605722,-85.6800278,264,-6,\"A\",\"America/Chicago\"\n", + "8318,\"Daniel Field Airport\",\"Augusta\",\"United States\",\"DNL\",\"KDNL\",33.4665028,-82.0393808,423,-5,\"A\",\"America/New_York\"\n", + "8319,\"Foothills Regional Airport\",\"Morganton\",\"United States\",\"MRN\",\"KMRN\",35.8202336,-81.6115119,1270,-5,\"A\",\"America/New_York\"\n", + "8320,\"Pike County Airport - Hatcher Field\",\"Pikeville\",\"United States\",\"PBX\",\"KPBX\",37.5617639,-82.5663889,1473,-5,\"A\",\"America/New_York\"\n", + "8321,\"Mallards Landing Airport\",\"Locust Grove\",\"United States\",\"\",\"GA04\",33.3656703,-84.1651964,837,-5,\"A\",\"America/New_York\"\n", + "8322,\"Toccoa RG Letourneau Field Airport\",\"Toccoa\",\"United States\",\"TOC\",\"KTOC\",34.5928117,-83.2963717,996,-5,\"A\",\"America/New_York\"\n", + "8323,\"Shaftesbury-Compton Abbas Aerodrome\",\"Shaftesbury\",\"United Kingdom\",\"\",\"EGHA\",50.9672,-2.1536,811,0,\"U\",\"Europe/London\"\n", + "8324,\"SCC4\",\"MFO\",\"Egypt\",\"\",\\N,30.524819,34.584025,2037,2,\"U\",\"Asia/Jerusalem\"\n", + "8325,\"SCC4\",\"MFO\",\"Egypt\",\"\",\\N,30.524819,34.584025,2037,2,\"E\",\"Asia/Jerusalem\"\n", + "8326,\"SCC4\",\"MFO\",\"Egypt\",\"\",\\N,30.524819,34.584025,2037,2,\"E\",\"Asia/Jerusalem\"\n", + "8327,\"SCC4\",\"MFO\",\"Egypt\",\"\",\\N,30.524819,34.584025,2037,2,\"E\",\"Asia/Jerusalem\"\n", + "8328,\"Poltava\",\"Poltava\",\"Ukraine\",\"PLV\",\"UKHP\",49.34261,34.23551,333,2,\"U\",\"Europe/Kiev\"\n", + "8329,\"Ferry Port\",\"Calais\",\"France\",\"\",\\N,50.967536,1.849308,6,1,\"E\",\"Europe/Paris\"\n", + "8330,\"Ferry Port\",\"Dover\",\"United Kingdom\",\"\",\\N,51.126876,1.339747,6,0,\"E\",\"Europe/London\"\n", + "8331,\"Aweil Airport\",\"Aweil\",\"Sudan\",\"\",\"HSAW\",8.77,27.3975,1394,3,\"U\",\"Africa/Juba\"\n", + "8332,\"Wau Airport\",\"Wau\",\"Sudan\",\"WUU\",\"HSWW\",7.725,27.98,1420,3,\"U\",\"Africa/Juba\"\n", + "8333,\"Humera Airport\",\"Humera\",\"Ethiopia\",\"HUE\",\"HAHU\",14.3,36.616667,1500,3,\"U\",\"Africa/Asmera\"\n", + "8334,\"Moyale Airport\",\"Moyale\",\"Kenya\",\"OYL\",\"HKMY\",3.465,39.105,2790,3,\"U\",\"Africa/Nairobi\"\n", + "8335,\"Zagora Airport\",\"Zagora\",\"Morocco\",\"\",\"GMAZ\",30.330556,-5.838056,1500,0,\"U\",\"Africa/Casablanca\"\n", + "8336,\"Yengema Airport\",\"Yengema\",\"Sierra Leone\",\"WYE\",\"GFYE\",8.615308,-11.047192,1300,0,\"U\",\"Africa/Freetown\"\n", + "8337,\"Gbangbatok Airport\",\"Gbangbatok\",\"Sierra Leone\",\"GBK\",\"GFGK\",7.767,-12.383,500,0,\"U\",\"Africa/Freetown\"\n", + "8338,\"Hong Kong China Ferry Terminal\",\"Hong Kong\",\"Hong Kong\",\"\",\\N,22.299204,114.166164,0,8,\"N\",\"Asia/Hong_Kong\"\n", + "8339,\"Tampa Executive Airport\",\"Tampa\",\"United States\",\"VDF\",\\N,28.0139772,-82.3452778,22,-5,\"A\",\"America/New_York\"\n", + "8340,\"UOTT\",\"Turukhansk\",\"Russia\",\"\",\"UOTT\",65.46,87.53,125,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "8341,\"Podkamennaya Tunguska\",\"Bor\",\"Russia\",\"\",\"UNIP\",61.34,89.56,213,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "8342,\"Fort Worth Alliance Airport\",\"Fort Worth\",\"United States\",\"AFW\",\"KAFW\",32.987778,-97.318889,722,-6,\"A\",\"America/Chicago\"\n", + "8343,\"East Troy Municipal Airport\",\"East Troy\",\"United States\",\"57C\",\"K57C\",42.7971667,-88.3726111,860,-6,\"A\",\"America/Chicago\"\n", + "8344,\"Kolpashevo Airport\",\"Kolpashevo\",\"Russia\",\"\",\"UNLL\",58.3333,82.9333,243,7,\"N\",\"Asia/Omsk\"\n", + "8345,\"Montgomery Field\",\"San Diego\",\"United States\",\"MYF\",\"NULL\",32.4759,117.759,17,8,\"A\",\"Asia/Chongqing\"\n", + "8346,\"Gimpo International Airpot\",\"Seoul\",\"South Korea\",\"SEL\",\\N,37.558311,126.790586,58,9,\"N\",\"Asia/Seoul\"\n", + "8347,\"Ali Al Salem Air Base\",\"Kuwait\",\"Kuwait\",\"\",\"OKAS\",29.346742,47.520753,472,3,\"A\",\"Asia/Kuwait\"\n", + "8348,\"Renmark\",\"Renmark\",\"Australia\",\"RMK\",\"YREN\",-34.118,140.404,115,9.5,\"O\",\"Australia/Adelaide\"\n", + "8349,\"Leigh Creek\",\"Leigh Creek\",\"Australia\",\"\",\"YLEC\",-30.598333,138.425833,856,9.5,\"O\",\"Australia/Adelaide\"\n", + "8350,\"Warburton\",\"Warburton Community\",\"Australia\",\"\",\"YWBR\",-26.128333,126.583333,1500,8,\"O\",\"Australia/Perth\"\n", + "8351,\"Cunderdin\",\"Cunderdin\",\"Australia\",\"\",\"YCUN\",-31.622223,117.216667,705,8,\"O\",\"Australia/Perth\"\n", + "8352,\"Rottnest Island\",\"Rottnest Island\",\"Australia\",\"\",\"YRTI\",-32.006667,115.539722,12,8,\"O\",\"Australia/Perth\"\n", + "8353,\"Forrest\",\"Forrest\",\"Australia\",\"\",\"YFRT\",-30.838056,128.115,511,8,\"O\",\"Australia/Perth\"\n", + "8354,\"Ballarat\",\"Ballarat\",\"Australia\",\"\",\"YBLT\",-37.511667,143.791111,1433,10,\"O\",\"Australia/Hobart\"\n", + "8355,\"Keewaywin\",\"Keewaywin\",\"Canada\",\"KEW\",\"CPV8\",52.991111,-92.836389,988,-6,\"A\",\"America/Winnipeg\"\n", + "8356,\"Marathon\",\"Marathon\",\"Canada\",\"YSP\",\"CYSP\",48.755278,-86.344444,1035,-5,\"A\",\"America/Toronto\"\n", + "8357,\"Rene Fontaine\",\"Hearst\",\"Canada\",\"YHF\",\"CYHF\",49.713889,-83.686944,826,-5,\"A\",\"America/Toronto\"\n", + "8358,\"Hornepayne\",\"Hornepayne\",\"Canada\",\"YHN\",\"CYHN\",49.193056,-84.758889,1099,-5,\"A\",\"America/Toronto\"\n", + "8359,\"Kirkland Lake\",\"Kirkland Lake\",\"Canada\",\"YKX\",\"CYKX\",48.210278,-79.981389,1157,-5,\"A\",\"America/Toronto\"\n", + "8360,\"Manitouwadge\",\"Manitouwadge\",\"Canada\",\"YMG\",\"CYMG\",49.083889,-85.860556,1198,-5,\"A\",\"America/Toronto\"\n", + "8361,\"Wawa\",\"Wawa\",\"Canada\",\"YXZ\",\"CYXZ\",47.966944,-84.786389,944,-5,\"A\",\"America/Toronto\"\n", + "8362,\"Manitoulin East\",\"Manitowaning\",\"Canada\",\"YEM\",\"CYEM\",45.8425,-81.8575,869,-5,\"A\",\"America/Toronto\"\n", + "8363,\"Slate Falls\",\"Slate Falls\",\"Canada\",\"\",\"CKD9\",51.13,-91.665556,1355,-6,\"A\",\"America/Winnipeg\"\n", + "8364,\"Collingwood\",\"Collingwood\",\"Canada\",\"\",\"CNY3\",44.449167,-80.158333,730,-5,\"A\",\"America/Toronto\"\n", + "8365,\"Brantford\",\"Brantford\",\"Canada\",\"YFD\",\"CYFD\",43.131389,-80.3425,815,-5,\"A\",\"America/Toronto\"\n", + "8366,\"Lawrence Municipal\",\"Lawrence\",\"United States\",\"LWC\",\"KLWC\",39.009167,-95.2175,833,-6,\"A\",\"America/Chicago\"\n", + "8367,\"Wellington Municipal\",\"Wellington\",\"United States\",\"EGT\",\"KEGT\",37.39411,-97.423225,1277,-6,\"A\",\"America/Chicago\"\n", + "8368,\"Isla San Jose\",\"Isla San Jose\",\"Panama\",\"\",\\N,8.252,-79.0668,150,-5,\"N\",\"America/Panama\"\n", + "8369,\"Griffin-Spalding County Airport\",\"Griffin\",\"United States\",\"6A2\",\\N,33.2269722,-84.2749444,958,-5,\"A\",\"America/New_York\"\n", + "8370,\"Dieu Merci\",\"Saint-Elie\",\"French Guiana\",\"\",\\N,4.7828,-53.2611,253,-3,\"N\",\"America/Cayenne\"\n", + "8371,\"DEGRA\",\"REMIRE-MONTJOLY\",\"French Guiana\",\"\",\\N,4.8708,52.2783,33,-3,\"N\",\\N\n", + "8372,\"Herapel\",\"Morsbach\",\"France\",\"\",\\N,49.1606,6.8649,840,1,\"E\",\"Europe/Paris\"\n", + "8373,\"Degrad des Cannes\",\"REMIRE-MONTJOLY\",\"French Guiana\",\"\",\\N,4.8708,-52.2783,33,-3,\"N\",\"America/Cayenne\"\n", + "8374,\"Elysee\",\"Elysee\",\"French Guiana\",\"\",\\N,4.75,-54.05,100,-3,\"N\",\"America/Cayenne\"\n", + "8375,\"Citron\",\"Citron\",\"French Guiana\",\"\",\\N,4.7301,-53.9516,100,-3,\"N\",\"America/Cayenne\"\n", + "8376,\"Yaou\",\"Maripasoula\",\"French Guiana\",\"\",\\N,3.7243,-53.9747,300,-3,\"N\",\"America/Cayenne\"\n", + "8377,\"Helicojyp\",\"REMIRE-MONTJOLY\",\"French Guiana\",\"\",\\N,4.8936,-52.2922,39,-3,\"N\",\"America/Cayenne\"\n", + "8378,\"Nicosia International Airport\",\"Nicosia\",\"Cyprus\",\"NIC\",\\N,35.15111,33.27222,0,2,\"E\",\"Asia/Nicosia\"\n", + "8379,\"Pompano Beach Airpark\",\"Pompano Beach\",\"United States\",\"PMP\",\"KPMP\",26.2471389,-80.1110556,19,-5,\"A\",\"America/New_York\"\n", + "8380,\"Mallacoota Airport\",\"Mallacoota\",\"Australia\",\"XMC\",\"YMCO\",-37.598301,149.720001,31,10,\"U\",\"Australia/Hobart\"\n", + "8381,\"Prince Abdul Majeed Airport\",\"Al-Ula\",\"Saudi Arabia\",\"ULH\",\"OEAO\",26.636718,37.908018,2047,3,\"N\",\"Asia/Riyadh\"\n", + "8382,\"Pogapa Airstrip\",\"Pogapa\",\"Indonesia\",\"\",\\N,-3.7518,136.842481,6060,9,\"N\",\"Asia/Jayapura\"\n", + "8383,\"Pogapa Airstrip\",\"Pogapa\",\"Indonesia\",\"\",\\N,-3.7518,136.842481,6060,9,\"N\",\"Asia/Jayapura\"\n", + "8384,\"Greyhound Station\",\"Washington DC\",\"United States\",\"\",\"DCBS\",38.90339,-77.00583,0,-5,\"A\",\"America/New_York\"\n", + "8385,\"Roma Street Railway Station\",\"Brisbane\",\"Australia\",\"\",\\N,-27.4666667,-153.0166667,100,10,\"N\",\\N\n", + "8386,\"Roma Street Railway Station\",\"Brisbane\",\"Australia\",\"\",\\N,-27.4666667,153.0166667,100,10,\"N\",\"Australia/Brisbane\"\n", + "8387,\"Rockhampton Railway Station\",\"Rockhampton\",\"Australia\",\"\",\\N,-23.378941,150.512323,100,10,\"N\",\"Australia/Brisbane\"\n", + "8388,\"Sydney Terminal Railway Station\",\"Sydney\",\"Australia\",\"\",\\N,-33.88373,151.20592,100,10,\"O\",\"Australia/Sydney\"\n", + "8389,\"Melbourne Southern Cross Railway Station\",\"Melbourne\",\"Australia\",\"\",\\N,-37.8181602,144.9533883,111,10,\"O\",\"Australia/Hobart\"\n", + "8390,\"Nambour Railway Station\",\"Nambour\",\"Australia\",\"\",\\N,-26.617353,152.973785,400,10,\"N\",\"Australia/Brisbane\"\n", + "8391,\"Bundaberg Railway Station\",\"Bundaberg\",\"Australia\",\"\",\\N,-24.867837,152.349416,100,10,\"U\",\"Australia/Brisbane\"\n", + "8392,\"Hung Hom Railway Station\",\"Hong Kong\",\"Hong Kong\",\"\",\\N,22.308813,114.169624,100,8,\"N\",\"Asia/Hong_Kong\"\n", + "8393,\"Hong Kong Railway Station\",\"Hong Kong\",\"Hong Kong\",\"\",\\N,22.2846291082599,114.158227443695,100,8,\"N\",\"Asia/Hong_Kong\"\n", + "8394,\"Shelby County Airport\",\"Alabaster\",\"United States\",\"EET\",\"KEET\",33.1777778,-86.7832222,586,-6,\"A\",\"America/Chicago\"\n", + "8395,\"Yuendumu \",\"Yuendumu \",\"Australia\",\"YUE\",\"YYND\",-22.254167,131.781944,2205,9.5,\"O\",\"Australia/Darwin\"\n", + "8396,\"Gare de Strasbourg\",\"Strasbourg\",\"France\",\"XWG\",\\N,48.585068,7.734547,475,1,\"E\",\"Europe/Paris\"\n", + "8397,\"Sky Ranch at Carefree\",\"Carefree\",\"United States\",\"\",\"18AZ\",33.8180947,-111.8979242,2568,-7,\"N\",\"America/Phoenix\"\n", + "8398,\"St Peter and St Paul Fortress\",\"St. Petersburg\",\"Russia\",\"\",\\N,59.951443,30.313831,30,4,\"N\",\"Europe/Moscow\"\n", + "8399,\"Guangzhou South Railway Station\",\"Guangzhou\",\"China\",\"GZS\",\\N,22.990081,113.270631,1,8,\"U\",\"Asia/Chongqing\"\n", + "8400,\"Oddballs Camp Private Airstrip\",\"Okavango Oddballs Camp\",\"Botswana\",\"\",\\N,-19.531281,23.091847,3133,2,\"N\",\"Africa/Gaborone\"\n", + "8401,\"Lombok International Airport\",\"Praya\",\"Indonesia\",\"LOP\",\"WADL\",-8.7573222,116.276675,52,8,\"N\",\"Asia/Makassar\"\n", + "8402,\"Marmul\",\"Marmul\",\"Oman\",\"OMM\",\"OONR\",18.133333,55.266666,900,4,\"N\",\"Asia/Muscat\"\n", + "8403,\"One Hundred Mile House Airport\",\"One Hundred Mile House\",\"Canada\",\"\",\"CAV3\",51.3833,-121.1825,3055,-8,\"A\",\"America/Vancouver\"\n", + "8404,\"South Cariboo Regional Airport\",\"108 Mile Ranch\",\"Canada\",\"ZML\",\"CZML\",51.4412,-121.1958,3129,-8,\"A\",\"America/Vancouver\"\n", + "8405,\"Glasgow City Heliport\",\"Glasgow\",\"United Kingdom\",\"\",\"EGEG\",55.5141,-4.1749,10,0,\"E\",\"Europe/London\"\n", + "8406,\"Yarram\",\"Yarram\",\"Australia\",\"\",\"YYRM\",-38.56,146.75,200,10,\"O\",\"Australia/Hobart\"\n", + "8407,\"Hebei Handan Airport\",\"Handan\",\"China\",\"HDG\",\"ZBHD\",36.524,114.43,0,8,\"N\",\"Asia/Chongqing\"\n", + "8408,\"Jade Mountain Helipad\",\"Soufriere\",\"Saint Lucia\",\"\",\\N,13.868921,-61.073596,341,-4,\"N\",\"America/St_Lucia\"\n", + "8409,\"Indianapolis Metropolitan Airport\",\"Indianapolis\",\"United States\",\"UMP\",\"KUMP\",39.935278,-86.045,811,-5,\"A\",\"America/New_York\"\n", + "8410,\"London-Corbin Airport-MaGee Field\",\"London\",\"United States\",\"LOZ\",\"KLOZ\",37.0868889,-84.0773889,1212,-5,\"A\",\"America/New_York\"\n", + "8411,\"Camden Station\",\"Baltimore\",\"United States\",\"\",\\N,39.2837181,-76.621634,49,-5,\"A\",\"America/New_York\"\n", + "8412,\"Fredericksburg Amtrak Station\",\"Fredericksburg\",\"United States\",\"FBG\",\\N,38.298416,-77.456875,130,-5,\"A\",\"America/New_York\"\n", + "8413,\"Pamalican Airstrip\",\"Cuyo\",\"Philippines\",\"\",\\N,11.354499,120.730991,0,8,\"N\",\"Asia/Manila\"\n", + "8414,\"Warsaw Modlin\",\"Warsaw\",\"Poland\",\"WMI\",\"EPMO\",52.451111,20.651667,341,1,\"E\",\"Europe/Warsaw\"\n", + "8415,\"Buffalo Bus Terminal\",\"Buffalo\",\"United States\",\"\",\"BBUF\",42.883512,-78.87205,0,-5,\"A\",\"America/New_York\"\n", + "8416,\"Twelve Apostles Heliport\",\"Princetown\",\"Australia\",\"\",\\N,-38.665833,143.104444,165,10,\"U\",\"Australia/Hobart\"\n", + "8417,\"Jixi Airport\",\"Jixi\",\"China\",\"JXA\",\"ZYJX\",45.30611,130.99667,0,8,\"N\",\"Asia/Chongqing\"\n", + "8418,\"King St Station\",\"Seattle\",\"United States\",\"\",\"SEAT\",47.5985,-122.3299,7,-8,\"A\",\"America/Los_Angeles\"\n", + "8422,\"Palatka Amtrak Station\",\"Palatka\",\"United States\",\"\",\\N,29.649178,-81.640456,16,-5,\"A\",\"America/New_York\"\n", + "8423,\"Gimli Industrial Park Airport\",\"Gimli\",\"Canada\",\"YGM\",\"CYGM\",50.628056,-97.043333,753,-6,\"A\",\"America/Winnipeg\"\n", + "8424,\"Matheson Island Airport\",\"Matheson Island\",\"Canada\",\"\",\\N,51.732222,-96.934444,725,-6,\"A\",\"America/Winnipeg\"\n", + "8425,\"Matheson Island Airport\",\"Matheson Island\",\"Canada\",\"\",\\N,51.732222,-96.934444,725,-6,\"A\",\"America/Winnipeg\"\n", + "8426,\"Matheson Island Airport\",\"Matheson Island\",\"Canada\",\"\",\"CJT2\",51.732222,-96.934444,725,-6,\"A\",\"America/Winnipeg\"\n", + "8427,\"Tura\",\"Tura\",\"Russia\",\"\",\"UNIT\",64.33,100.43,400,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "8428,\"Beloyarsky\",\"Beloyarsky\",\"Russia\",\"EYK\",\"USHQ\",63.683056,66.683056,25,6,\"E\",\"Asia/Yekaterinburg\"\n", + "8429,\"Ypenburg\",\"Ypenburg\",\"Netherlands\",\"\",\"EHYB\",52.040376,4.365771,0,1,\"E\",\"Europe/Amsterdam\"\n", + "8430,\"John H. Batten Airport\",\"Racine\",\"United States\",\"RAC\",\"KRAC\",42.7605,-87.8152,674,-6,\"A\",\"America/Chicago\"\n", + "8431,\"Taytay Sandoval\",\"Taytay\",\"Philippines\",\"RZP\",\"RPSD\",11.05167,119.5183,75,8,\"U\",\"Asia/Manila\"\n", + "8432,\"Gera Leumnitz\",\"Gera\",\"Germany\",\"\",\"EDAJ\",50.8814,12.1322,100,1,\"E\",\"Europe/Berlin\"\n", + "8433,\"Gera Leumnitz\",\"Gera\",\"Germany\",\"\",\\N,50.880023,12.132411,100,1,\"E\",\"Europe/Berlin\"\n", + "8434,\"Mira Flores\",\"Mira Flores\",\"Colombia\",\"\",\\N,1.444549,-71.949921,300,-5,\"S\",\"America/Bogota\"\n", + "8435,\"Kasimovo\",\"Saint-Petersburg\",\"Russia\",\"\",\"XLLN\",60.200059,30.334926,230,4,\"N\",\"Europe/Moscow\"\n", + "8436,\"Otaru\",\"Otaru\",\"Japan\",\"QOT\",\\N,43.1894444,141.0022222,0,9,\"N\",\"Asia/Tokyo\"\n", + "8437,\"Noboribetsu\",\"Noboribetsu\",\"Japan\",\"\",\\N,42.46867,141.03833,361,9,\"N\",\"Asia/Tokyo\"\n", + "8438,\"Terlet\",\"Arnhem\",\"Netherlands\",\"\",\"EHTL\",52.057222,5.924444,276,1,\"E\",\"Europe/Amsterdam\"\n", + "8439,\"Schaffen Diest\",\"Schaffen\",\"Belgium\",\"\",\\N,51.002846,5.060649,100,1,\"E\",\"Europe/Brussels\"\n", + "8440,\"Blomberg 3GGW\",\"Blomberg\",\"Germany\",\"\",\\N,51.930401,9.094285,200,1,\"E\",\"Europe/Berlin\"\n", + "8441,\"Buckeburg\",\"Buckeburg\",\"Germany\",\"\",\\N,52.279764,9.079843,200,1,\"E\",\"Europe/Berlin\"\n", + "8442,\"Shigatse Peace Airport\",\"Shigatse\",\"China\",\"RKZ\",\"ZURK\",29.351667,89.306944,12408,8,\"N\",\"Asia/Chongqing\"\n", + "8443,\"Redlands Municipal Airport\",\"Redlands\",\"United States\",\"REI\",\"KREI\",34.08525,-117.146388,1574,-8,\"A\",\"America/Los_Angeles\"\n", + "8444,\"Chemehuevi Valley\",\"Chemehuevi Valley\",\"United States\",\"49X\",\\N,34.528889,-114.431971,638,-8,\"A\",\"America/Los_Angeles\"\n", + "8445,\"Flabob Airport\",\"Riverside\",\"United States\",\"RIR\",\"KRIR\",33.988778,-117.409971,764,-8,\"A\",\"America/Los_Angeles\"\n", + "8446,\"Tacoma Narrows Airport\",\"Tacoma\",\"United States\",\"TIW\",\"KTIW\",47.267944,-122.57811,294,-8,\"A\",\"America/Los_Angeles\"\n", + "8447,\"Tampa North Aero Park\",\"Tampa\",\"United States\",\"X39\",\\N,28.221278,-82.374555,68,-5,\"A\",\"America/New_York\"\n", + "8448,\"Athuruga\",\"Athuruga\",\"Maldives\",\"\",\\N,3,72,0,5,\"N\",\"Indian/Maldives\"\n", + "8449,\"Athuruga\",\"Athuruga\",\"Maldives\",\"\",\\N,3,72,0,5,\"U\",\"Indian/Maldives\"\n", + "8450,\"Athuruga\",\"Athuruga\",\"Maldives\",\"\",\\N,3,72,0,5,\"U\",\"Indian/Maldives\"\n", + "8451,\"STROE KAZERNE\",\"STROE\",\"Netherlands\",\"\",\\N,52.198138,5.705802,10,1,\"E\",\"Europe/Amsterdam\"\n", + "8452,\"\\\\'t Harde\",\"Oldebroek\",\"Netherlands\",\"\",\\N,52.406503,5.898492,10,1,\"E\",\"Europe/Amsterdam\"\n", + "8453,\"WERL KAZERNE\",\"WERL\",\"Germany\",\"\",\\N,51.566907,7.915326,100,1,\"E\",\"Europe/Berlin\"\n", + "8454,\"SZEGED\",\"SZEGED\",\"Hungary\",\"\",\\N,46.252761,20.096519,100,1,\"E\",\"Europe/Budapest\"\n", + "8455,\"LAKE WANNSEE\",\"BERLIN\",\"Germany\",\"\",\\N,52.437517,13.175561,0,1,\"E\",\"Europe/Berlin\"\n", + "8456,\"Tenkiller Lake Airpark\",\"COOKSON\",\"United States\",\"\",\\N,35.705541,-94.933605,150,-6,\"U\",\"America/Chicago\"\n", + "8457,\"HOEVENEN\",\"HOEVENEN\",\"Belgium\",\"\",\\N,51.304111,4.388766,50,1,\"E\",\"Europe/Brussels\"\n", + "8458,\"GRAS\",\"HARREVELD\",\"Netherlands\",\"\",\\N,51.981127,6.516252,50,1,\"E\",\"Europe/Amsterdam\"\n", + "8459,\"Muenster-Telgte\",\"TELGTE\",\"Germany\",\"\",\"EDLO\",51.944556,7.773292,100,1,\"E\",\"Europe/Berlin\"\n", + "8460,\"Jack Edwards Airport\",\"Gulf Shores\",\"United States\",\"JKA\",\"KJKA\",30.2896389,-87.6717778,17,-6,\"A\",\"America/Chicago\"\n", + "8461,\"General Villamil Airport\",\"Isabela\",\"Ecuador\",\"\",\"SEII\",-0.942499999,-90.95305555,35,-6,\"N\",\"Pacific/Galapagos\"\n", + "8462,\"Balzers Heliport\",\"Balzers\",\"Switzerland\",\"\",\"LSXB\",47.076667,9.5,1585,1,\"E\",\"Europe/Vaduz\"\n", + "8463,\"Vieste Heliport\",\"Vieste\",\"Italy\",\"VIF\",\\N,41.885277,16.176945,46,1,\"E\",\"Europe/Rome\"\n", + "8464,\"Alpha\",\"Cork\",\"Ireland\",\"\",\\N,51.400377,-7.901464,100,0,\"U\",\\N\n", + "8465,\"Gogld\",\"Island of Gogland\",\"Russia\",\"\",\\N,60.011662,27.008236,10,3,\"U\",\\N\n", + "8466,\"HIBER\",\"Offshore\",\"Mexico\",\"\",\\N,19.398611,-92.016111,100,-6,\"U\",\\N\n", + "8467,\"Punitz-Guessing\",\"Punitz-Guessing\",\"Austria\",\"\",\"LOGG\",47.14833,16.31833,950,1,\"E\",\"Europe/Vienna\"\n", + "8468,\"Khmeinitskiy\",\"Khmeinitskiy\",\"Ukraine\",\"HMJ\",\"UKLH\",49.366,26.933,351,2,\"E\",\"Europe/Kiev\"\n", + "8469,\"Hiroshima-Nishi\",\"Hiroshima\",\"Japan\",\"HIW\",\"RJBH\",34.367,132.408,9,9,\"N\",\"Asia/Tokyo\"\n", + "8470,\"Annapolis\",\"Annapolis\",\"United States\",\"\",\"ANNA\",38.972944,-76.501158,0,-5,\"A\",\"America/New_York\"\n", + "8471,\"High River Regional Airport\",\"High River\",\"Canada\",\"\",\\N,50.3333,-113.833,3431,-7,\"A\",\"America/Edmonton\"\n", + "8472,\"Yalata\",\"Yalata\",\"Australia\",\"\",\"YYTA\",-31.29,131.51,100,9.5,\"O\",\"Australia/Adelaide\"\n", + "8473,\"Hazleton Municipal\",\"Hazleton\",\"United States\",\"HZL\",\"KHZL\",40.989167,-76.0025,1603,-5,\"A\",\"America/New_York\"\n", + "8474,\"Greater Cumberland Rgnl.\",\"Cumberland\",\"United States\",\"CBE\",\"KCBE\",39.615278,-78.760556,775,-5,\"A\",\"America/New_York\"\n", + "8475,\"Sugar Loaf Shores Airport\",\"Key West\",\"United States\",\"\",\"7FA1\",24.6487544,-81.5798083,4,-5,\"A\",\"America/New_York\"\n", + "8476,\"Wyndham\",\"Wyndham\",\"Australia\",\"\",\"YWYM\",-15.2857,128.0722,100,8,\"U\",\"Australia/Perth\"\n", + "8477,\"Bob Quinn Lake\",\"Bob Quinn Lake\",\"Canada\",\"YBO\",\"CBW4\",56.58,-130.5,50,-8,\"U\",\"America/Vancouver\"\n", + "8478,\"Songo Songo\",\"Songo Songo Island\",\"Tanzania\",\"\",\\N,-8.528056,39.506944,1,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "8479,\"Jongomero Camp\",\"Ruaha National Park\",\"Tanzania\",\"\",\\N,-7.895,34.580853,0,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "8480,\"Msembe Airstrip\",\"Msembe\",\"Tanzania\",\"\",\\N,-7.686111,35.926944,0,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "8481,\"Fox Glacier Airstrip\",\"Fox Glacier\",\"New Zealand\",\"FGL\",\\N,-43.4,170.033,475,12,\"Z\",\"Pacific/Auckland\"\n", + "8482,\"Grabtsevo\",\"Kaluga\",\"Russia\",\"KLF\",\"UUBS\",54.55,36.367,600,4,\"E\",\"Europe/Moscow\"\n", + "8483,\"Reykjahlid\",\"Reykjahlid\",\"Iceland\",\"\",\\N,65.6,-17,100,0,\"U\",\"Atlantic/Reykjavik\"\n", + "8484,\"Central Station\",\"Stockholm\",\"Sweden\",\"XEV\",\\N,59.33,18.058056,10,1,\"E\",\"Europe/Stockholm\"\n", + "8485,\"Central Station\",\"Uppsala\",\"Sweden\",\"QYX\",\\N,59.858333,17.646111,23,1,\"E\",\"Europe/Stockholm\"\n", + "8486,\"Centraal\",\"Rotterdam\",\"Netherlands\",\"QRH\",\\N,51.924444,4.469444,7,1,\"E\",\"Europe/Amsterdam\"\n", + "8487,\"Holesovice\",\"Praha\",\"Czech Republic\",\"XYJ\",\\N,50.11,14.439444,616,1,\"E\",\"Europe/Prague\"\n", + "8488,\"Hauptbahnhof\",\"Bonn\",\"Germany\",\"BNJ\",\\N,50.731944,7.096944,204,1,\"E\",\"Europe/Berlin\"\n", + "8489,\"Central\",\"Copenhagen\",\"Denmark\",\"ZGH\",\\N,55.672778,12.564444,16,1,\"E\",\"Europe/Copenhagen\"\n", + "8490,\"Hauptbahnhof\",\"Salzburg\",\"Austria\",\"ZSB\",\\N,47.813056,13.046667,1391,1,\"E\",\"Europe/Vienna\"\n", + "8491,\"Centraal\",\"Antwerp\",\"Belgium\",\"ZWE\",\\N,51.217222,4.421111,51,1,\"E\",\"Europe/Brussels\"\n", + "8492,\"Ellisras\",\"Lephalale\",\"South Africa\",\"ELL\",\"FAEA\",-23.666667,27.75,2700,2,\"U\",\"Africa/Johannesburg\"\n", + "8493,\"Tri-County Regional Airport\",\"Lone Rock\",\"United States\",\"LNR\",\"KLNR\",43.211667,-90.181667,718,-6,\"A\",\"America/Chicago\"\n", + "8494,\"Price County Airport\",\"Phillips\",\"United States\",\"\",\"KPBH\",45.705,-90.403056,1466,-6,\"A\",\"America/Chicago\"\n", + "8495,\"Municipal\",\"Monroe\",\"United States\",\"\",\"KEFT\",42.616389,-89.591944,1079,-6,\"A\",\"America/Chicago\"\n", + "8496,\"Regional Airport\",\"Joliet\",\"United States\",\"JOT\",\"KJOT\",41.517778,-88.175556,582,-6,\"A\",\"America/Chicago\"\n", + "8497,\"Illinois Valley Regional\",\"Peru\",\"United States\",\"VYS\",\"KVYS\",41.351944,-89.153056,654,-6,\"A\",\"America/Chicago\"\n", + "8498,\"Dirk Hartog Island\",\"Dirk Hartog Island\",\"Australia\",\"\",\"YDHD\",-26.00937,113.160008,15,8,\"O\",\"Australia/Perth\"\n", + "8499,\"Reynolds Field\",\"Jackson\",\"United States\",\"JXN\",\"KJXN\",42.260556,-84.460556,1001,-5,\"A\",\"America/New_York\"\n", + "8500,\"Flugplatz\",\"Furstenwalde\",\"Germany\",\"\",\"EDAL\",52.393889,14.099722,141,1,\"E\",\"Europe/Berlin\"\n", + "8501,\"Flugplatz Finow\",\"Eberswalde\",\"Germany\",\"\",\"EDAV\",52.827222,13.693611,121,1,\"E\",\"Europe/Berlin\"\n", + "8502,\"Joseph A. Hardy Airport\",\"Connellsville\",\"United States\",\"\",\"KVVS\",39.959167,-79.657222,1267,-5,\"A\",\"America/New_York\"\n", + "8503,\"Bedford County\",\"Bedford\",\"United States\",\"\",\"KHMZ\",40.086111,-78.513333,1162,-5,\"A\",\"America/New_York\"\n", + "8504,\"Wings Field\",\"Philadelphia\",\"United States\",\"BBX\",\"KLOM\",40.1375,-75.265,302,-5,\"A\",\"America/New_York\"\n", + "8505,\"County\",\"Okeechobee\",\"United States\",\"OBE\",\"KOBE\",27.265833,-80.851111,34,-5,\"A\",\"America/New_York\"\n", + "8506,\"Regional - Hendricks AAF\",\"Sebring\",\"United States\",\"SEF\",\"KSEF\",27.456389,-81.342222,63,-5,\"A\",\"America/New_York\"\n", + "8507,\"Executive\",\"Avon Park\",\"United States\",\"AVO\",\"KAVO\",27.591389,-81.528889,160,-5,\"A\",\"America/New_York\"\n", + "8508,\"Gilbert Airport\",\"Winter Haven\",\"United States\",\"GIF\",\"KGIF\",28.062778,-81.753333,145,-5,\"A\",\"America/New_York\"\n", + "8509,\"Municipal Airport\",\"Zephyrhills\",\"United States\",\"ZPH\",\"KZPH\",28.228056,-82.155833,90,-5,\"A\",\"America/New_York\"\n", + "8510,\"International Airport\",\"Ocala\",\"United States\",\"OCF\",\"KOCF\",29.1725,-82.224167,89,-5,\"A\",\"America/New_York\"\n", + "8511,\"Jesup-Wayne County Airport\",\"Jesup\",\"United States\",\"JES\",\"KJES\",31.553889,-81.8825,107,-5,\"A\",\"America/New_York\"\n", + "8512,\"Madison GA Municipal Airport\",\"Madison\",\"United States\",\"52A\",\"K52A\",33.612125,-83.4604444,694,-5,\"A\",\"America/New_York\"\n", + "8513,\"Coweta County Airport\",\"Newnan\",\"United States\",\"CCO\",\"KCCO\",33.3115656,-84.7697554,970,-5,\"A\",\"America/New_York\"\n", + "8514,\"McDuffie County Airport\",\"Thomson\",\"United States\",\"HQU\",\"KHQU\",33.5297315,-82.5169509,501,-5,\"A\",\"America/New_York\"\n", + "8515,\"Municipal Airport\",\"Aiken\",\"United States\",\"AIK\",\"KAIK\",33.6493889,-81.6850278,529,-5,\"A\",\"America/New_York\"\n", + "8516,\"Woodward Field\",\"Camden\",\"United States\",\"CDN\",\"KCDN\",34.2835833,-80.5648611,302,-5,\"A\",\"America/New_York\"\n", + "8517,\"Municipal Airport\",\"Lumberton\",\"United States\",\"LBT\",\"KLBT\",34.6098056,-79.0595556,125,-5,\"A\",\"America/New_York\"\n", + "8518,\"Ridgeland Airport\",\"Ridgeland\",\"United States\",\"3J1\",\\N,32.4934167,-80.99175,79,-5,\"A\",\"America/New_York\"\n", + "8519,\"Moore County Airport\",\"Pinehurst-Southern Pines\",\"United States\",\"SOP\",\"KSOP\",35.2376111,-79.3887958,455,-5,\"A\",\"America/New_York\"\n", + "8520,\"Richmond County Airport\",\"Rockingham\",\"United States\",\"RCZ\",\"KRCZ\",34.8913056,-79.7596111,358,-5,\"A\",\"America/New_York\"\n", + "8521,\"Bamberg County Airport\",\"Bamberg\",\"United States\",\"99N\",\\N,33.3045278,-81.1084167,231,-5,\"A\",\"America/New_York\"\n", + "8522,\"Richland Airport\",\"Richland Center\",\"United States\",\"93C\",\\N,43.2833575,-90.2982819,742,-6,\"A\",\"America/Chicago\"\n", + "8523,\"Municipal Airport\",\"Viroqua\",\"United States\",\"Y51\",\\N,43.5793603,-90.8964742,1292,-6,\"A\",\"America/Chicago\"\n", + "8524,\"Baraboo Wisconsin Dells Airport\",\"Baraboo\",\"United States\",\"DLL\",\"KDLL\",43.5217843,-89.7709266,979,-6,\"A\",\"America/Chicago\"\n", + "8525,\"Foster Field\",\"Apple River\",\"United States\",\"7A4\",\\N,42.4664444,-90.1693889,990,-6,\"A\",\"America/Chicago\"\n", + "8526,\"Regional Airport\",\"Statesville\",\"United States\",\"SVH\",\"KSVH\",35.7649958,-80.9538958,968,-5,\"A\",\"America/New_York\"\n", + "8527,\"Sylvania Airport\",\"Sturtevant\",\"United States\",\"C89\",\\N,42.70325,-87.9589722,785,-6,\"A\",\"America/Chicago\"\n", + "8528,\"Municipal Airport\",\"Burlington\",\"United States\",\"BUU\",\"KBUU\",42.6907171,-88.3046825,780,-6,\"A\",\"America/Chicago\"\n", + "8529,\"Stroudsburg-Pocono Airport\",\"East Stroudsburg\",\"United States\",\"N53\",\\N,41.0358717,-75.1606789,480,-5,\"A\",\"America/New_York\"\n", + "8530,\"Spring Hill Airport\",\"Sterling\",\"United States\",\"70N\",\\N,41.3473569,-75.4158972,1729,-5,\"A\",\"America/New_York\"\n", + "8531,\"Randall Airport\",\"Middletown\",\"United States\",\"06N\",\\N,41.431912,-74.3915611,523,-5,\"A\",\"America/New_York\"\n", + "8532,\"William T. Piper Mem.\",\"Lock Haven\",\"United States\",\"LHV\",\"KLHV\",41.1357778,-77.4223056,556,-5,\"A\",\"America/New_York\"\n", + "8533,\"Grove City Airport\",\"Grove City\",\"United States\",\"29D\",\\N,41.1460278,-80.16775,1371,-5,\"A\",\"America/New_York\"\n", + "8534,\"Lansdowne Airport\",\"Youngstown\",\"United States\",\"04G\",\\N,41.1304722,-80.6195833,1044,-5,\"A\",\"America/New_York\"\n", + "8535,\"Wadsworth Municipal\",\"Wadsworth\",\"United States\",\"3G3\",\\N,41.0031572,-81.7564401,974,-5,\"A\",\"America/New_York\"\n", + "8536,\"Ashland County Airport\",\"Ashland\",\"United States\",\"3G4\",\\N,40.9029722,-82.2556389,1206,-5,\"A\",\"America/New_York\"\n", + "8537,\"Pittsburgh-Monroeville Airport\",\"Monroeville\",\"United States\",\"4G0\",\\N,40.4526389,-79.7749167,1187,-5,\"A\",\"America/New_York\"\n", + "8538,\"Zelienople Municipal Airport\",\"Zelienople\",\"United States\",\"\",\"KPJC\",40.8019722,-80.1608611,898,-5,\"A\",\"America/New_York\"\n", + "8539,\"Somerset County Airport\",\"Somerset\",\"United States\",\"2G9\",\\N,40.0388708,-79.0149951,2275,-5,\"A\",\"America/New_York\"\n", + "8540,\"Youngstown Elser Metro Airport\",\"Youngstown\",\"United States\",\"4G4\",\\N,40.9617953,-80.6773264,1070,-5,\"A\",\"America/New_York\"\n", + "8541,\"Braceville Airport\",\"Braceville\",\"United States\",\"41N\",\\N,41.2111675,-80.9692572,900,-5,\"A\",\"America/New_York\"\n", + "8542,\"Lorain County Regional Airport\",\"Lorain-Elyria\",\"United States\",\"LPR\",\"KLPR\",41.3442778,-82.1776389,793,-5,\"A\",\"America/New_York\"\n", + "8543,\"Germack Airport\",\"Geneva\",\"United States\",\"7D9\",\\N,41.7778322,-80.9039797,820,-5,\"A\",\"America/New_York\"\n", + "8544,\"Burke Lakefront Airport\",\"Cleveland\",\"United States\",\"BKL\",\"KBKL\",41.5175,-81.683333,583,-5,\"A\",\"America/New_York\"\n", + "8545,\"Chautauqua County-Dunkirk Airport\",\"Dunkirk\",\"United States\",\"DKK\",\"KDKK\",42.4933353,-79.2720417,693,-5,\"A\",\"America/New_York\"\n", + "8546,\"Hamburg Inc Airport\",\"Hamburg\",\"United States\",\"4G2\",\\N,42.7008925,-78.9147569,751,-5,\"A\",\"America/New_York\"\n", + "8547,\"Trenton-Robbinsville Airport\",\"Trenton\",\"United States\",\"N87\",\\N,40.2139444,-74.6017778,118,-5,\"A\",\"America/New_York\"\n", + "8548,\"South Jersey Regional Airport\",\"Mount Holly\",\"United States\",\"VAY\",\"KVAY\",39.9428889,-74.84575,53,-5,\"A\",\"America/New_York\"\n", + "8549,\"Spitfire Aerodrome\",\"Pedricktown\",\"United States\",\"7N7\",\\N,39.7355633,-75.3977211,40,-5,\"A\",\"America/New_York\"\n", + "8550,\"Linden Airport\",\"Linden\",\"United States\",\"LDJ\",\"KLDJ\",40.6174472,-74.2445942,23,-5,\"A\",\"America/New_York\"\n", + "8551,\"Morgantown Airport\",\"Morgantown\",\"United States\",\"O03\",\\N,40.1570414,-75.8704892,600,-5,\"A\",\"America/New_York\"\n", + "8552,\"Harford County Airport\",\"Churchville\",\"United States\",\"0W3\",\\N,39.5668378,-76.2024028,409,-5,\"A\",\"America/New_York\"\n", + "8553,\"Tri-State Steuben County Airport\",\"Angola\",\"United States\",\"ANQ\",\"KANQ\",41.6396983,-85.0834933,995,-5,\"A\",\"America/New_York\"\n", + "8554,\"Plymouth Municipal Airport\",\"Plymouth\",\"United States\",\"C65\",\\N,41.3651307,-86.3002574,800,-5,\"A\",\"America/New_York\"\n", + "8555,\"Warsaw Municipal Airport\",\"Warsaw\",\"United States\",\"\",\"KASW\",41.2746944,-85.8400556,850,-5,\"A\",\"America/New_York\"\n", + "8556,\"Van Wert County Airport\",\"Van Wert\",\"United States\",\"VNW\",\"KVNW\",40.8638295,-84.606358,787,-5,\"A\",\"America/New_York\"\n", + "8557,\"Port Bucyrus-Crawford County Airport\",\"Bucyrus\",\"United States\",\"17G\",\\N,40.7815556,-82.9748056,1003,-5,\"A\",\"America/New_York\"\n", + "8558,\"Lake Wales Municipal Airport\",\"Lake Wales\",\"United States\",\"X07\",\\N,27.8938056,-81.6203889,127,-5,\"A\",\"America/New_York\"\n", + "8559,\"Brooks Field Airport\",\"Marshall\",\"United States\",\"RMY\",\"KRMY\",42.2511932,-84.9554443,941,-5,\"A\",\"America/New_York\"\n", + "8560,\"Genesee County Airport\",\"Batavia\",\"United States\",\"GVQ\",\"KGVQ\",43.03175,-78.1696667,914,-5,\"A\",\"America/New_York\"\n", + "8561,\"Finger Lakes Regional Airport\",\"Seneca Falls\",\"United States\",\"0G7\",\\N,42.8835647,-76.7812318,492,-5,\"A\",\"America/New_York\"\n", + "8562,\"Stormville Airport\",\"Stormville\",\"United States\",\"N69\",\\N,41.5769708,-73.7323514,358,-5,\"A\",\"America/New_York\"\n", + "8563,\"Robertson Field\",\"Plainville\",\"United States\",\"4B8\",\\N,41.6893333,-72.8646944,202,-5,\"A\",\"America/New_York\"\n", + "8564,\"Williams County Airport\",\"Bryan\",\"United States\",\"0G6\",\\N,41.4673056,-84.5067778,730,-5,\"A\",\"America/New_York\"\n", + "8565,\"Clearwater Air Park\",\"Clearwater\",\"United States\",\"CLW\",\"KCLW\",27.9764722,-82.7586667,70,-5,\"A\",\"America/New_York\"\n", + "8566,\"South Lakeland Airport\",\"Lakeland\",\"United States\",\"X49\",\\N,27.9333581,-82.0439739,110,-5,\"A\",\"America/New_York\"\n", + "8567,\"Scatsta Airport\",\"Scatsta\",\"United Kingdom\",\"SCS\",\\N,60.433,-1.3,0,0,\"U\",\"Europe/London\"\n", + "8568,\"North Sea\",\"Buchan Alpha\",\"United Kingdom\",\"\",\\N,57.9039,0.0319,0,0,\"U\",\\N\n", + "8569,\"North Sea\",\"Buchan Alpha\",\"United Kingdom\",\"\",\\N,57.9039,0.0319,0,0,\"U\",\\N\n", + "8570,\"North Sea\",\"Claymore\",\"United Kingdom\",\"\",\"CLAA\",58.4494,-0.2536,0,0,\"U\",\\N\n", + "8571,\"North Sea\",\"FPSO Anasuria\",\"United Kingdom\",\"\",\"ANAS\",57.1524,0.0483,0,0,\"U\",\\N\n", + "8572,\"North Sea\",\"BP Bruce\",\"United Kingdom\",\"\",\"BRU1\",58.44,2.33,0,0,\"U\",\\N\n", + "8573,\"North Sea\",\"Buchan Alpha\",\"United Kingdom\",\"\",\"BUCA\",57.9039,0.0319,0,0,\"U\",\\N\n", + "8574,\"North Sea\",\"Buzzard\",\"United Kingdom\",\"\",\"BUZZ\",56.8,0.766,0,0,\"U\",\\N\n", + "8575,\"North Sea\",\"Clyde\",\"United Kingdom\",\"\",\"CLY1\",56.45,2.2833,0,0,\"U\",\\N\n", + "8576,\"North Sea\",\"Cormorant Alpha\",\"United Kingdom\",\"\",\"COA1\",61.2333,-1.15,0,0,\"U\",\\N\n", + "8577,\"North Sea\",\"Forties Alpha\",\"United Kingdom\",\"\",\"FA08\",57.7167,-1.0167,0,0,\"U\",\\N\n", + "8578,\"North Sea\",\"Forties Charlie\",\"United Kingdom\",\"\",\"FC08\",57.7167,-1.0167,0,0,\"U\",\\N\n", + "8579,\"North Sea\",\"Fulmar\",\"United Kingdom\",\"\",\"FUA1\",56.48,2.13,0,0,\"U\",\\N\n", + "8580,\"North Sea\",\"Gannet Alpha\",\"United Kingdom\",\"\",\"GAA1\",57.3,1.2,0,0,\"U\",\\N\n", + "8581,\"North Sea\",\"Montrose Alpha\",\"United Kingdom\",\"\",\"MOA1\",57.4506,1.3883,0,0,\"U\",\\N\n", + "8582,\"North Sea\",\"Tern\",\"United Kingdom\",\"\",\"TEA1\",61.3333,0.8333,0,0,\"U\",\\N\n", + "8583,\"Atlantic Ocean\",\"FPSO Xikomba\",\"Angola\",\"\",\"XKSO\",-6.0333,11.0166,0,0,\"U\",\\N\n", + "8584,\"Zoo\",\"Berlin\",\"Germany\",\"QWC\",\\N,52.507222,13.3325,120,1,\"E\",\"Europe/Berlin\"\n", + "8585,\"Frankfurt Oder Hbf\",\"Frankfurt Oder\",\"Germany\",\"ZFR\",\\N,52.336944,14.547222,177,1,\"E\",\"Europe/Berlin\"\n", + "8586,\"Gare de Lyon\",\"Paris\",\"France\",\"PLY\",\\N,48.844722,2.373611,129,1,\"E\",\"Europe/Paris\"\n", + "8587,\"Gare de LEst\",\"Paris\",\"France\",\"XHP\",\\N,48.876944,2.359167,149,1,\"E\",\"Europe/Paris\"\n", + "8588,\"All Airports\",\"Paris\",\"France\",\"PAR\",\\N,48.856389,2.352222,107,1,\"E\",\"Europe/Paris\"\n", + "8589,\"Ostbahnhof\",\"Berlin\",\"Germany\",\"BHF\",\\N,52.51,13.434722,135,1,\"E\",\"Europe/Berlin\"\n", + "8590,\"All Airports\",\"London\",\"United Kingdom\",\"LON\",\\N,51.508056,-0.127778,66,0,\"E\",\"Europe/London\"\n", + "8591,\"All Airports\",\"New York\",\"United States\",\"NYC\",\\N,40.714167,-74.005833,31,-5,\"A\",\"America/New_York\"\n", + "8592,\"All Airports\",\"Chicago\",\"United States\",\"CHI\",\\N,41.883611,-87.631667,596,-6,\"A\",\"America/Chicago\"\n", + "8593,\"Meigs Field\",\"Chicago\",\"United States\",\"CGX\",\"KCGX\",41.860278,-87.609722,585,-6,\"A\",\"America/Chicago\"\n", + "8594,\"All Airports\",\"Tokyo\",\"Japan\",\"TYO\",\\N,35.689444,139.691667,123,9,\"U\",\"Asia/Tokyo\"\n", + "8595,\"All Airports\",\"Beijing\",\"China\",\"BJS\",\\N,39.904167,116.407222,171,8,\"U\",\"Asia/Chongqing\"\n", + "8596,\"All Airports\",\"Milan\",\"Italy\",\"MIL\",\\N,45.463611,9.188056,402,1,\"E\",\"Europe/Rome\"\n", + "8597,\"All Airports\",\"Washington\",\"United States\",\"WAS\",\\N,38.889444,-77.035278,25,-5,\"A\",\"America/New_York\"\n", + "8598,\"All Airports\",\"Montreal\",\"Canada\",\"YMQ\",\\N,45.508611,-73.553889,53,-5,\"A\",\"America/Toronto\"\n", + "8599,\"All Airports\",\"Toronto\",\"Canada\",\"YTO\",\\N,43.653056,-79.383056,302,-5,\"A\",\"America/Toronto\"\n", + "8600,\"Longhua Airport\",\"Shanghai\",\"China\",\"\",\"ZSSL\",31.166944,121.453611,14,8,\"U\",\"Asia/Chongqing\"\n", + "8601,\"Pickens County Airport\",\"Jasper\",\"United States\",\"JZP\",\"KJZP\",34.4534722,-84.4572222,1535,-5,\"A\",\"America/New_York\"\n", + "8602,\"Gesundbrunnen\",\"Berlin\",\"Germany\",\"BGS\",\\N,52.548611,13.389444,150,1,\"E\",\"Europe/Berlin\"\n", + "8603,\"Saarmund Airport\",\"Saarmund\",\"Germany\",\"\",\"EDCS\",52.3089943,13.1006727,160,1,\"E\",\"Europe/Berlin\"\n", + "8604,\"Grand Strand Airport\",\"North Myrtle Beach\",\"United States\",\"CRE\",\\N,33.81175,-78.7239444,31,-5,\"A\",\"America/New_York\"\n", + "8605,\"Sun Moon Lake Airport\",\"Sun Moon Lake\",\"Taiwan\",\"SMT\",\\N,23.8833,120.933,2405,8,\"U\",\"Asia/Taipei\"\n", + "8606,\"Lansing Municipal\",\"Lansing\",\"United States\",\"IGQ\",\"KIGQ\",41.5349167,-87.5295278,620,-6,\"A\",\"America/Chicago\"\n", + "8607,\"Bloyer Field\",\"Tomah\",\"United States\",\"Y72\",\\N,43.9762222,-90.4806111,966,-6,\"A\",\"America/Chicago\"\n", + "8608,\"Ramona Airport\",\"Ramona\",\"United States\",\"RNM\",\"KRNM\",33.0391667,-116.91525,1395,-8,\"A\",\"America/Los_Angeles\"\n", + "8609,\"Dole-Pont Sur Yonne Airport\",\"Pont Sur Yonne\",\"France\",\"\",\"LFGO\",48.288333,3.246389,223,1,\"E\",\"Europe/Paris\"\n", + "8610,\"Dole-St Florentin Cheu Airport\",\"St Florentin Cheu\",\"France\",\"\",\"LFGP\",47.981389,3.776389,345,1,\"E\",\"Europe/Paris\"\n", + "8611,\"Guiscriff-Saulieu Liernais Airport\",\"Saulieu\",\"France\",\"\",\"LFEW\",47.238611,4.263056,1699,1,\"E\",\"Europe/Paris\"\n", + "8612,\"Olten Airport\",\"Olten\",\"Switzerland\",\"\",\"LSPO\",47.343611,7.8875,1370,1,\"E\",\"Europe/Zurich\"\n", + "8613,\"Buochs Airport\",\"Buochs\",\"Switzerland\",\"BXO\",\"LSZC\",46.9725,8.398611,1464,1,\"E\",\"Europe/Zurich\"\n", + "8614,\"Ambri Airport\",\"Quinto\",\"Switzerland\",\"\",\"LSPM\",46.513056,8.689444,3214,1,\"E\",\"Europe/Zurich\"\n", + "8615,\"Lodrino Airport\",\"Lodrino\",\"Switzerland\",\"\",\"LSML\",46.29499,8.9916,850,1,\"E\",\"Europe/Zurich\"\n", + "8616,\"Roudnice Airport\",\"Roudnice nad Lebem\",\"Czech Republic\",\"\",\"LKRO\",50.407222,14.232778,719,1,\"E\",\"Europe/Prague\"\n", + "8617,\"Usti Nad Labem Airport\",\"Usti Nad Labem\",\"Czech Republic\",\"\",\"LKUL\",50.698889,13.970833,765,1,\"E\",\"Europe/Prague\"\n", + "8618,\"Mauterndorf Airport\",\"Mauterndorf\",\"Austria\",\"\",\"LOSM\",47.131667,13.695278,3629,1,\"E\",\"Europe/Vienna\"\n", + "8619,\"Notsch Im Gailtal Airport\",\"Notsch Im Gailtal\",\"Austria\",\"\",\"LOKN\",46.580833,13.629167,1810,1,\"E\",\"Europe/Vienna\"\n", + "8620,\"Forchheim Airport\",\"Karlsruhe\",\"Germany\",\"\",\"EDTK\",49.097778,8.453056,400,1,\"E\",\"Europe/Berlin\"\n", + "8621,\"Bergstrasse Airport\",\"Weinheim\",\"Germany\",\"\",\"EDGZ\",49.567222,8.611389,319,1,\"E\",\"Europe/Berlin\"\n", + "8622,\"Creil-Meaux Esbly Airport\",\"Meaux\",\"France\",\"\",\"LFPE\",48.928611,2.833056,210,1,\"E\",\"Europe/Paris\"\n", + "8623,\"Belleau Airport\",\"Chateau-Thierry\",\"France\",\"\",\"LFFH\",49.066944,3.356111,719,1,\"E\",\"Europe/Paris\"\n", + "8624,\"Branch County Memorial Airport\",\"Coldwater\",\"United States\",\"OEB\",\"KOEB\",41.9335691,-85.0522935,959,-5,\"A\",\"America/New_York\"\n", + "8625,\"Wilkes-Barre Wyoming Valley Airport\",\"Wilkes-Barre\",\"United States\",\"WBW\",\"KWBW\",41.2973074,-75.8522405,543,-5,\"A\",\"America/New_York\"\n", + "8626,\"Lost Nation Municipal Airport\",\"Willoughby\",\"United States\",\"LNN\",\"KLNN\",41.6840278,-81.38975,626,-5,\"A\",\"America/New_York\"\n", + "8627,\"Taoyuan Air Base\",\"Taoyuan\",\"Taiwan\",\"\",\"RCGM\",25.05660057,121.2442627,143,8,\"U\",\"Asia/Taipei\"\n", + "8628,\"Uummannaq Heliport\",\"Uummannaq\",\"Greenland\",\"UMD\",\"BGUM\",70.4047,52.0702,5,-4,\"E\",\\N\n", + "8629,\"Civitavecchia\",\"Civitavecchia\",\"Italy\",\"\",\\N,42.6,11.48,0,1,\"E\",\"Europe/Rome\"\n", + "8630,\"Bayannur\",\"Bayannur\",\"China\",\"RLK\",\\N,40.926389,107.738889,3389,8,\"U\",\"Asia/Chongqing\"\n", + "8631,\"Capital City Airport\",\"Frankfort\",\"United States\",\"FFT\",\"KFFT\",38.1819722,-84.9061389,812,-5,\"A\",\"America/New_York\"\n", + "8632,\"Lewiston Maine\",\"Lewiston\",\"United States\",\"LEW\",\"KLEW\",44.0484728,-70.2835075,288,-5,\"A\",\"America/New_York\"\n", + "8633,\"Inowroclaw Inowr Airport\",\"Inowroclaw\",\"Poland\",\"\",\"EPIR\",52.829444,18.330556,259,1,\"E\",\"Europe/Warsaw\"\n", + "8634,\"Pruszcz Gdansk Airport\",\"Pruszcz Gdansk\",\"Poland\",\"\",\"EPPR\",54.248056,18.671667,21,1,\"E\",\"Europe/Warsaw\"\n", + "8635,\"Florence\",\"Florence\",\"United States\",\"6S2\",\\N,43.9828168,-124.1113687,51,-8,\"A\",\"America/Los_Angeles\"\n", + "8636,\"Martin Campbell Field Airport\",\"Copperhead\",\"United States\",\"1A3\",\\N,35.0158056,-84.3468333,1789,-5,\"A\",\"America/New_York\"\n", + "8637,\"Sudkreuz\",\"Berlin\",\"Germany\",\"\",\"BPAP\",52.475556,13.364444,136,1,\"E\",\"Europe/Berlin\"\n", + "8638,\"Naval Air Station\",\"Glenview\",\"United States\",\"NBU\",\"KNBU\",42.090556,-87.8225,653,-6,\"A\",\"America/Chicago\"\n", + "8639,\"Bloyer Field\",\"Tomah\",\"United States\",\"\",\"KY72\",43.975278,-90.483333,965,-6,\"A\",\"America/Chicago\"\n", + "8640,\"Yongning Air Base\",\"Beijing\",\"China\",\"\",\"CN-0\",40.50310135,116.1080017,1677,8,\"U\",\"Asia/Chongqing\"\n", + "8641,\"Marco Islands\",\"Marco Island Airport\",\"United States\",\"MRK\",\"KMKY\",25.9950278,-81.6725278,5,-5,\"A\",\"America/New_York\"\n", + "8642,\"Boipeba\",\"Boipeba Island\",\"Brazil\",\"\",\\N,-13.565589,-38.939241,5,-3,\"S\",\"America/Fortaleza\"\n", + "8643,\"Boipeba\",\"Boipeba Island\",\"Brazil\",\"\",\\N,-13.565589,-38.939241,5,-3,\"S\",\"America/Fortaleza\"\n", + "8644,\"Drummond Island Airport\",\"Drummond Island\",\"United States\",\"DRM\",\"KDRM\",46.0093114,-83.7439342,668,-5,\"A\",\"America/New_York\"\n", + "8645,\"Garland Airport\",\"Lewiston\",\"United States\",\"8M8\",\\N,44.8065278,-84.2761944,1218,-5,\"A\",\"America/New_York\"\n", + "8646,\"Gladwin Zettel Memorial Airport\",\"Gladwin\",\"United States\",\"GDW\",\"KGDW\",43.9705893,-84.47502,774,-5,\"A\",\"America/New_York\"\n", + "8647,\"Lowell City Airport\",\"Lowell\",\"United States\",\"24C\",\\N,42.95392,-85.3439058,681,-5,\"A\",\"America/New_York\"\n", + "8648,\"South Haven Area Regional Airport\",\"South Haven\",\"United States\",\"LWA\",\"KLWA\",42.3511944,-86.2556389,666,-5,\"A\",\"America/New_York\"\n", + "8649,\"Schaumburg Regional\",\"Schaumburg\",\"United States\",\"06C\",\\N,41.9893408,-88.1012428,801,-6,\"A\",\"America/Chicago\"\n", + "8650,\"Khulna Seaplane Landing Site\",\"Khulna\",\"Bangladesh\",\"\",\\N,22.464897,89.351261,0,6,\"N\",\"Asia/Dhaka\"\n", + "8651,\"Khulna Seaplane Landing Site\",\"Khulna\",\"Bangladesh\",\"\",\\N,22.464897,89.351261,0,6,\"N\",\"Asia/Dhaka\"\n", + "8652,\"Khulna Seaplane Landing Site\",\"Khulna\",\"Bangladesh\",\"\",\\N,22.464897,89.351261,0,6,\"N\",\"Asia/Dhaka\"\n", + "8653,\"Marshfield Municipal Airport\",\"Marshfield\",\"United States\",\"MFI\",\"KMFI\",44.6368797,-90.1893267,1278,-6,\"A\",\"America/Chicago\"\n", + "8654,\"Alexander Field South Wood County Airport\",\"Wisconsin Rapids\",\"United States\",\"ISW\",\"KISW\",44.3606456,-89.8381412,1021,-6,\"A\",\"America/Chicago\"\n", + "8655,\"Clinton Municipal\",\"Clinton\",\"United States\",\"CWI\",\"KCWI\",41.83075,-90.3289722,708,-6,\"A\",\"America/Chicago\"\n", + "8656,\"Wiescheid\",\"Langenfeld\",\"Germany\",\"\",\\N,51.141663,6.987305,1000,1,\"E\",\"Europe/Berlin\"\n", + "8657,\"Wadi Rum\",\"Wadi Rum Desert\",\"Jordan\",\"\",\\N,29.682087,35.470734,1000,2,\"U\",\"Asia/Amman\"\n", + "8658,\"Beverly Municipal Airport\",\"Beverly\",\"United States\",\"BVY\",\"KBVY\",42.584141,-70.9161444,107,-5,\"A\",\"America/New_York\"\n", + "8659,\"Priob\\\\'e\",\"Priob\\\\'e\",\"Russia\",\"\",\\N,62.5461,65.6261,200,6,\"N\",\"Asia/Yekaterinburg\"\n", + "8660,\"Nagaur Airport\",\"Nagaur\",\"India\",\"\",\"VI73\",27.20829964,73.71140289,3853,5.5,\"U\",\"Asia/Calcutta\"\n", + "8661,\"Ostafyevo International Airport\",\"Moscow\",\"Russia\",\"\",\"UUMO\",55.511667,37.507222,568,4,\"N\",\"Europe/Moscow\"\n", + "8662,\"Oakdale Airport\",\"Oakdale\",\"United States\",\"O27\",\\N,37.7563333,-120.8001944,237,-8,\"A\",\"America/Los_Angeles\"\n", + "8663,\"Trois Rivieres Airport\",\"Trois Rivieres\",\"Canada\",\"YRQ\",\"CYRQ\",46.351667,-72.680556,199,-5,\"A\",\"America/Toronto\"\n", + "8664,\"Poplar Bluff Municipal Airport\",\"Poplar Bluff\",\"United States\",\"POF\",\"KPOF\",36.77394444,-90.3248611,331,-6,\"A\",\"America/Chicago\"\n", + "8665,\"Somerset Airport\",\"Somerville\",\"United States\",\"\",\"KSMQ\",40.6259908,-74.6702433,105,-5,\"A\",\"America/New_York\"\n", + "8666,\"Eastport Municipal Airport\",\"Eastport\",\"United States\",\"EPM\",\"KEPM\",44.9101111,-67.0126944,45,-5,\"A\",\"America/New_York\"\n", + "8667,\"Keokuk Municipal Airport\",\"Keokuk\",\"United States\",\"EOK\",\"KEOK\",40.4599078,-91.4285011,671,-6,\"A\",\"America/Chicago\"\n", + "8668,\"Banks Airport\",\"Swans Island\",\"United States\",\"ME5\",\\N,44.1653889,-68.4281667,100,-5,\"A\",\"America/New_York\"\n", + "8669,\"Perth Scone Airport\",\"Perth\",\"United Kingdom\",\"PSL\",\"EGPT\",56.439722,-3.371389,392,0,\"E\",\"Europe/London\"\n", + "8670,\"Caernarfon Airport\",\"Caernarfon\",\"United Kingdom\",\"\",\"EGCK\",53.104167,-4.340278,14,0,\"E\",\"Europe/London\"\n", + "8671,\"Grefrath-Niershorst Airport\",\"Grefrath\",\"Germany\",\"\",\"EDLF\",51.333889,6.359444,105,1,\"E\",\"Europe/Berlin\"\n", + "8672,\"Offenburg\",\"Offenburg\",\"Germany\",\"\",\\N,48.4711,7.9411,535,1,\"E\",\"Europe/Berlin\"\n", + "8673,\"Oberwolfach\",\"Oberwolfach\",\"Germany\",\"\",\\N,48.3167,8.2167,1060,1,\"E\",\"Europe/Berlin\"\n", + "8674,\"Karlsruhe Hbf\",\"Karlsruhe\",\"Germany\",\"\",\\N,49.0135,8.4044,377,1,\"E\",\"Europe/Berlin\"\n", + "8675,\"Lichtenwalde\",\"Lichtenwalde\",\"Germany\",\"\",\\N,50.8833,13.0167,984,1,\"E\",\"Europe/Berlin\"\n", + "8676,\"Karlsruhe\",\"Karlsruhe\",\"Germany\",\"\",\\N,49.0135,8.4044,377,1,\"E\",\"Europe/Berlin\"\n", + "8677,\"Holzhau\",\"Holzhau\",\"Germany\",\"\",\\N,50.7333334,13.6,1969,1,\"E\",\"Europe/Berlin\"\n", + "8678,\"Porto\",\"Porto\",\"Portugal\",\"\",\\N,41.1667,8.5833,341,1,\"E\",\"Europe/Rome\"\n", + "8679,\"Lisboa-Oriente\",\"Lisboa\",\"Portugal\",\"\",\\N,38.424972,9.82179,7,0,\"E\",\\N\n", + "8680,\"Bad Herrenalb\",\"Bad Herrenalb\",\"Germany\",\"\",\\N,48.7976817,8.4361503,1198,1,\"E\",\"Europe/Berlin\"\n", + "8681,\"St. Paul Downtown Airport - Holman Field\",\"St. Paul\",\"United States\",\"\",\"KSTP\",44.9346225,-93.0603424,705,-6,\"A\",\"America/Chicago\"\n", + "8682,\"Soderhamn Airport\",\"Soderhamn\",\"Sweden\",\"SOO\",\"ESCL\",61.261667,17.098056,94,1,\"E\",\"Europe/Stockholm\"\n", + "8683,\"Newcastle Airfield\",\"Newcastle\",\"Ireland\",\"\",\"EINC\",53.073056,-6.039722,14,0,\"E\",\"Europe/Dublin\"\n", + "8684,\"Saravane Airport\",\"Saravane\",\"Laos\",\"VNA\",\"VLSV\",15.709444,106.411667,612,7,\"U\",\"Asia/Vientiane\"\n", + "8685,\"Lisboa-Oriente\",\"Lisboa\",\"Portugal\",\"\",\\N,38.7,9.1833,6,0,\"E\",\\N\n", + "8686,\"Lisboa-Oriente\",\"Lisboa-Oriente\",\"Portugal\",\"\",\\N,38.7,-9.1833,6,0,\"E\",\"Europe/Lisbon\"\n", + "8687,\"Zurich\",\"Zurich\",\"Switzerland\",\"\",\\N,47.369,8.538,1339,1,\"E\",\"Europe/Zurich\"\n", + "8688,\"Bagdad Airport\",\"Bagdad\",\"United States\",\"E51\",\\N,34.5958528,-113.170195,4183,-7,\"A\",\"America/Phoenix\"\n", + "8689,\"Segeletz Airport\",\"Segeletz\",\"Germany\",\"\",\"EDAI\",52.826667,12.541944,141,1,\"E\",\"Europe/Berlin\"\n", + "8690,\"Fuentemilanos Airport\",\"Segovia\",\"Spain\",\"\",\"LEFM\",40.889233,-4.239478,3284,1,\"E\",\"Europe/Madrid\"\n", + "8691,\"Akeno Aero\",\"Akeno\",\"Japan\",\"\",\"RJOE\",34.533333,136.672222,12,9,\"U\",\"Asia/Tokyo\"\n", + "8692,\"Ust Kamchatsk Airport\",\"Ust Kamchatsk\",\"Russia\",\"\",\"UHPK\",56.238556,162.688851,200,12,\"N\",\"Asia/Magadan\"\n", + "8693,\"Oconomowoc Airport\",\"Oconomowoc\",\"United States\",\"\",\"0WI8\",43.1388947,-88.4723206,885,-6,\"A\",\"America/Chicago\"\n", + "8694,\"Kozyrevsk Airport\",\"Kozyrevsk\",\"Russia\",\"\",\"UHPO\",56.09,159.876663,331,12,\"N\",\"Asia/Magadan\"\n", + "8695,\"Dikson Airport\",\"Dikson\",\"Russia\",\"DKS\",\"UODD\",73.517807,80.379669,47,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "8696,\"Beverley Airport\",\"Mine Site\",\"Australia\",\"\",\"YBEE\",-30.19033959,139.5554942,381,9.5,\"O\",\"Australia/Adelaide\"\n", + "8697,\"Bogande Airport\",\"Bogande\",\"Canada\",\"XBG\",\\N,48.329498,-70.995697,531,-5,\"A\",\"America/Toronto\"\n", + "8698,\"Bantry Aerodrome\",\"Bantry\",\"Ireland\",\"BYT\",\"EIBN\",51.668598,-9.48417,7,0,\"E\",\"Europe/Dublin\"\n", + "8699,\"Reeroe Airport\",\"Caherciveen\",\"Ireland\",\"CHE\",\\N,51.933334,-10.233333,314,0,\"E\",\"Europe/Dublin\"\n", + "8700,\"Aliwal North\",\"Aliwal North\",\"South Africa\",\"\",\"FAAN\",-30.683333,26.733333,4361,2,\"U\",\"Africa/Johannesburg\"\n", + "8701,\"Alkantpan Airport\",\"Alkantpan\",\"South Africa\",\"\",\"FACO\",-29.906389,22.316667,3585,2,\"U\",\"Africa/Johannesburg\"\n", + "8702,\"Alldays Airport\",\"Alldays\",\"South Africa\",\"ADY\",\"FAAL\",-22.678889,29.055278,2676,2,\"U\",\"Africa/Johannesburg\"\n", + "8703,\"Barberton Airport\",\"Barberton\",\"South Africa\",\"\",\"FABR\",-25.7175,30.975,2260,2,\"U\",\"Africa/Johannesburg\"\n", + "8704,\"Ocean Ridge Airport\",\"Gualala\",\"United States\",\"E55\",\\N,38.8016111,-123.5306389,940,-8,\"A\",\"America/Los_Angeles\"\n", + "8705,\"Kent State Airport\",\"Kent\",\"United States\",\"1G3\",\\N,41.1513889,-81.4151111,1134,-5,\"A\",\"America/New_York\"\n", + "8706,\"Bulter County Regional Airport\",\"Hamilton\",\"United States\",\"\",\"KHAO\",39.36375,-84.5219444,633,-5,\"A\",\"America/New_York\"\n", + "8707,\"Bungoma Airport\",\"Bungoma\",\"Kenya\",\"\",\"HKBU\",0.576389,34.551389,4752,3,\"U\",\"Africa/Nairobi\"\n", + "8708,\"Bura East\",\"Bura\",\"Kenya\",\"\",\"HKBR\",-1.185,39.813889,295,3,\"U\",\"Africa/Nairobi\"\n", + "8709,\"Busia\",\"Busia\",\"Kenya\",\"\",\"HKBA\",0.272,34.748,3989,3,\"U\",\"Africa/Nairobi\"\n", + "8710,\"Embu\",\"Embu\",\"Kenya\",\"\",\"HKEM\",-0.568889,37.492222,4131,3,\"U\",\"Africa/Nairobi\"\n", + "8711,\"Garba Tula\",\"Garba Tula\",\"Kenya\",\"\",\"HKGT\",0.3112,38.3056,1764,3,\"U\",\"Africa/Nairobi\"\n", + "8712,\"Garissa\",\"Garissa\",\"Kenya\",\"GAS\",\"HKGA\",-0.468611,39.649444,469,3,\"U\",\"Africa/Nairobi\"\n", + "8713,\"Hola\",\"Hola\",\"Kenya\",\"HOA\",\"HKHO\",-1.52,40.00389,220,3,\"U\",\"Africa/Nairobi\"\n", + "8714,\"Homa Bay\",\"Homa Bay\",\"Kenya\",\"\",\"HKHB\",-0.591668,34.48,4231,3,\"U\",\"Africa/Nairobi\"\n", + "8715,\"Isiolo\",\"Isiolo\",\"Kenya\",\"\",\"HKIS\",0.34361,37.587778,3688,3,\"U\",\"Africa/Nairobi\"\n", + "8716,\"Kalokol\",\"Kalokol\",\"Kenya\",\"KLK\",\"HYFG\",3.49,35.84,1296,3,\"U\",\"Africa/Nairobi\"\n", + "8717,\"Kericho\",\"Kericho\",\"Kenya\",\"KEY\",\"HKKR\",-0.385,35.245,6453,3,\"U\",\"Africa/Nairobi\"\n", + "8718,\"Kilaguni\",\"Kilaguni\",\"Kenya\",\"ILU\",\"HKKL\",-2.9,38.073889,2832,3,\"U\",\"Africa/Nairobi\"\n", + "8719,\"Kerio Valley\",\"Kimwarer\",\"Kenya\",\"KRV\",\\N,0.1912,35.3954,7095,3,\"U\",\"Africa/Nairobi\"\n", + "8720,\"Andavadoaka\",\"Andavadoaka\",\"Madagascar\",\"DVD\",\\N,-22.111111,43.270556,27,3,\"U\",\"Indian/Antananarivo\"\n", + "8721,\"Antsirabe\",\"Antsirabe\",\"Madagascar\",\"ATJ\",\"FMME\",-19.836944,47.065278,4913,3,\"U\",\"Indian/Antananarivo\"\n", + "8722,\"Bekily\",\"Bekily\",\"Madagascar\",\"OVA\",\"FMSL\",-24.236111,45.305,1259,3,\"U\",\"Indian/Antananarivo\"\n", + "8723,\"Ust-Tsylma\",\"Ust-Tsylma\",\"Russia\",\"\",\"UUYX\",65.434722232222,52.20000001,262,4,\"N\",\"Europe/Moscow\"\n", + "8724,\"Atlantic City Rail Terminal\",\"Atlantic City NJ\",\"United States\",\"ZRA\",\\N,39.3665,-74.442,8,-5,\"A\",\"America/New_York\"\n", + "8725,\"Springfield Amtrak Station\",\"Springfield MA\",\"United States\",\"ZSF\",\\N,42.106,-72.593054,65,-5,\"A\",\"America/New_York\"\n", + "8726,\"Amherst Amtrak Station AMM\",\"Amherst MA\",\"United States\",\"XZK\",\\N,42.375,-72.511389,258,-5,\"A\",\"America/New_York\"\n", + "8727,\"Cape May Ferry Terminal\",\"Cape May NJ\",\"United States\",\"\",\\N,38.9696286,-74.960918,0,-5,\"A\",\"America/New_York\"\n", + "8728,\"Lewes Ferry Terminal\",\"Lewes DE\",\"United States\",\"\",\\N,38.781655,-75.119534,0,-5,\"A\",\"America/New_York\"\n", + "8729,\"Bar Harbor Yarmouth Ferry Terminal\",\"Bar Harbor ME\",\"United States\",\"\",\\N,44.39917,-68.225,0,-5,\"A\",\"America/New_York\"\n", + "8730,\"Yarmouth Ferry Terminal\",\"Yarmouth NS\",\"Canada\",\"\",\\N,43.833227,-66.122653,0,-4,\"A\",\"America/Halifax\"\n", + "8731,\"Gare de Montreux Railway Station\",\"Montreux\",\"Switzerland\",\"\",\\N,46.435833,6.910278,1280,1,\"E\",\"Europe/Zurich\"\n", + "8732,\"London - Kings Cross\",\"London\",\"United Kingdom\",\"QQK\",\\N,51.5326,0.1233,72,0,\"E\",\"Europe/London\"\n", + "8733,\"Stevenage Railway Station\",\"Stevenage\",\"United Kingdom\",\"XVJ\",\\N,51.902,0.207,262,0,\"E\",\"Europe/London\"\n", + "8734,\"Peterborough Railway Station\",\"Peterborough\",\"United Kingdom\",\"XVH\",\\N,52.5748,-0.2502,91,0,\"E\",\"Europe/London\"\n", + "8735,\"Pomalaa\",\"Pomalaa\",\"Indonesia\",\"PUM\",\\N,-4.183333,121.61667,0,8,\"N\",\"Asia/Makassar\"\n", + "8736,\"St. Ignace Ferry Dock\",\"St. Ignace MI\",\"United States\",\"\",\\N,45.866405,-84.720254,587,-5,\"A\",\"America/New_York\"\n", + "8737,\"Mackinac Island Dock\",\"Mackinac Island MI\",\"United States\",\"\",\\N,45.848801,-84.615927,889,-5,\"A\",\"America/New_York\"\n", + "8738,\"YUR'EVETS\",\"YUR'EVETS\",\"Russia\",\"\",\"UUIC\",57.338582,43.0949,413,4,\"E\",\"Europe/Moscow\"\n", + "8739,\"Whittlesford Parkway Rail Station\",\"Whittlesford\",\"United Kingdom\",\"WLF\",\\N,52.104,0.166,95,0,\"E\",\"Europe/London\"\n", + "8740,\"Gorno-Altaysk Airport\",\"Gorno-Altaysk\",\"Russia\",\"RGK\",\"UNBG\",51.966667,85.833333,965,7,\"U\",\"Asia/Omsk\"\n", + "8741,\"Gryzliny - Lansk\",\"Gryzliny\",\"Poland\",\"\",\"EPGR\",53.3629,20.204,520,1,\"E\",\"Europe/Warsaw\"\n", + "8742,\"Fond Du Lac County Airport\",\"Fond du Lac\",\"United States\",\"FLD\",\"KFLD\",43.7711667,-88.4884167,808,-6,\"A\",\"America/Chicago\"\n", + "8743,\"Waupaca Municipal Airport\",\"Waupaca\",\"United States\",\"PCZ\",\"KPCZ\",44.33325,-89.0197778,840,-6,\"A\",\"America/Chicago\"\n", + "8744,\"Stevens Point Municipal Airport\",\"Stevens Point\",\"United States\",\"STE\",\"KSTE\",44.5451356,-89.5302844,1110,-6,\"A\",\"America/Chicago\"\n", + "8745,\"Mys Shmidta Airport\",\"Mys Shmidta\",\"Russia\",\"\",\"UHMI\",68.868301,179.373001,20,12,\"N\",\"Asia/Magadan\"\n", + "8746,\"Moma Airport\",\"Honuu\",\"Russia\",\"\",\"UEMA\",66.450859,143.261551,656,12,\"N\",\"Asia/Magadan\"\n", + "8747,\"Luce County Airport\",\"Newberry\",\"United States\",\"ERY\",\"KERY\",46.311199,-85.457298,869,-5,\"A\",\"America/New_York\"\n", + "8748,\"Forest Lake Airport\",\"Forest Lake\",\"United States\",\"25D\",\\N,45.2477456,-92.9943853,925,-6,\"A\",\"America/Chicago\"\n", + "8749,\"Hannover Messe-Heliport\",\"Hannover\",\"Germany\",\"ZVM\",\\N,52.329035,9.822136,152,1,\"E\",\"Europe/Berlin\"\n", + "8750,\"Peenemunde Airfield\",\"Peenemunde\",\"Germany\",\"PEF\",\"EDCP\",54.157778,13.772778,7,1,\"E\",\"Europe/Berlin\"\n", + "8751,\"Goraszka\",\"Goraszka\",\"Poland\",\"\",\"EPGO\",52.1104,21.1652,110,1,\"E\",\"Europe/Warsaw\"\n", + "8752,\"Pangandaran-Java Island-Nusawiru Airport\",\"Nusawiru\",\"Indonesia\",\"\",\"WI1A\",-7.72039,108.489998,16,7,\"N\",\"Asia/Jakarta\"\n", + "8753,\"Pom Pom Camp\",\"Pom Pom\",\"Botswana\",\"\",\\N,-19.35,22.5,965,2,\"U\",\"Africa/Gaborone\"\n", + "8754,\"Moremi Crossing\",\"Moremi\",\"Botswana\",\"\",\\N,-19.31,23.08,965,2,\"U\",\"Africa/Gaborone\"\n", + "8755,\"New Delhi Train Station\",\"New Delhi\",\"India\",\"\",\\N,28.64197,77.2206,708,5.5,\"N\",\"Asia/Calcutta\"\n", + "8756,\"Agra Cantonment Railway Station\",\"Agra\",\"India\",\"\",\\N,27.1578,77.98993,571,5.5,\"N\",\"Asia/Calcutta\"\n", + "8757,\"Urumqi Railway Station\",\"Urumqi\",\"China\",\"\",\\N,43.7809,87.585,2844,8,\"N\",\"Asia/Chongqing\"\n", + "8758,\"Turpan Railway Station\",\"Turpan\",\"China\",\"\",\\N,43.151,88.875,98,8,\"N\",\"Asia/Chongqing\"\n", + "8759,\"Galion Municipal Airport\",\"Galion\",\"United States\",\"GQQ\",\"KGQQ\",40.7533889,-82.7238056,1224,-5,\"A\",\"America/New_York\"\n", + "8760,\"Musiara Airstrip\",\"Musiara\",\"Kenya\",\"\",\"HKMZ\",-1.29861,35.063611,5200,3,\"U\",\"Africa/Nairobi\"\n", + "8761,\"Tiputini\",\"Tiputini\",\"Ecuador\",\"TPN\",\"SETI\",-0.766667,-75.53333,997,-5,\"S\",\"America/Guayaquil\"\n", + "8762,\"Shell Mera\",\"Pastaza\",\"Ecuador\",\"PTZ\",\"SESM\",-2,-77,7076,-5,\"S\",\"America/Guayaquil\"\n", + "8763,\"Clarksville-Montgomery County Regional Airport\",\"Clarksville\",\"United States\",\"CKV\",\"KCKV\",36.621944,-87.415,550,-6,\"A\",\"America/Chicago\"\n", + "8764,\"Oban Rail Station\",\"Oban\",\"United Kingdom\",\"\",\\N,56.4124,-5.4702,0,0,\"E\",\"Europe/London\"\n", + "8765,\"Memmingen Rail Station\",\"Memmingen\",\"Germany\",\"\",\\N,47.9878,10.1811,2077,1,\"E\",\"Europe/Berlin\"\n", + "8766,\"Ulm Railway Station\",\"Ulm\",\"Germany\",\"\",\\N,48.4,9.9833,1641,1,\"E\",\"Europe/Berlin\"\n", + "8767,\"Aachen HBF\",\"Aachen\",\"Germany\",\"\",\\N,50.7667,6.1,873,1,\"E\",\"Europe/Berlin\"\n", + "8768,\"Liege-Guillemins Railway Station\",\"Liege\",\"Belgium\",\"XHN\",\\N,50.6333,5.56667,659,1,\"E\",\"Europe/Brussels\"\n", + "8769,\"Bruxelles-Central\",\"Brussels\",\"Belgium\",\"\",\"FBCL\",50.8411,4.3564,43,1,\"E\",\"Europe/Brussels\"\n", + "8770,\"Wyk auf Foehr\",\"Wyk\",\"Germany\",\"OHR\",\\N,54.411,8.3145,24,1,\"E\",\"Europe/Berlin\"\n", + "8771,\"Lompoc Airport\",\"Lompoc\",\"United States\",\"LPC\",\"KLPC\",34.6656,-120.4675,88,-8,\"A\",\"America/Los_Angeles\"\n", + "8772,\"Chester County G O Carlson Airport\",\"Coatesville\",\"United States\",\"CTH\",\"KMQS\",39.9789,-75.8654,660,-5,\"A\",\"America/New_York\"\n", + "8773,\"Bost Airport\",\"Lashkar Gah\",\"Afghanistan\",\"BST\",\"OABT\",31.558889,64.364167,2464,4.5,\"U\",\"Asia/Kabul\"\n", + "8774,\"Lankaran International Airport\",\"Lankaran\",\"Azerbaijan\",\"LLK\",\"UBBL\",38.746389,48.817778,30,4,\"U\",\"Asia/Baku\"\n", + "8775,\"Qabala Airport\",\"Qabala\",\"Azerbaijan\",\"GBB\",\"UBBQ\",40.826667,47.7125,100,4,\"E\",\"Asia/Baku\"\n", + "8776,\"Zaqatala International Airport\",\"Zaqatala\",\"Azerbaijan\",\"ZTU\",\"UBBY\",41.562222,46.667222,100,4,\"E\",\"Asia/Baku\"\n", + "8777,\"Lake Placid Airport\",\"Lake Placid\",\"United States\",\"LKP\",\"KLKP\",44.264444,-73.961944,1747,-5,\"A\",\"America/New_York\"\n", + "8778,\"Long Lake\",\"Long Lake\",\"United States\",\"NY9\",\\N,43.9750617,-74.42044,1629,-5,\"A\",\"America/New_York\"\n", + "8779,\"Tyopliy Klyuch\",\"Khandyga\",\"Russia\",\"\",\"UEMH\",62.471,136.505,932,10,\"N\",\"Asia/Yakutsk\"\n", + "8780,\"Magan\",\"Yakutsk\",\"Russia\",\"\",\"UEMM\",62.0626,129.3334,577,10,\"N\",\"Asia/Yakutsk\"\n", + "8781,\"Zhoubai\",\"Qianjiang\",\"China\",\"JIQ\",\\N,29.515,108.83,2461,8,\"N\",\"Asia/Chongqing\"\n", + "8782,\"Mendeleevo\",\"Yuzhno-Kurilsk\",\"Russia\",\"DEE\",\"YXCM\",43.5739,145.4107,50,12,\"N\",\\N\n", + "8783,\"Wishram Amtrak Station\",\"Wishram\",\"United States\",\"WIH\",\\N,45.6576,-120.9664,1,-8,\"A\",\"America/Los_Angeles\"\n", + "8784,\"Lima Allen County Airport\",\"Lima\",\"United States\",\"AOH\",\"KAOH\",40.707478,-84.0270781,975,-5,\"A\",\"America/New_York\"\n", + "8785,\"Sondok Airport\",\"Hamhung\",\"North Korea\",\"DSO\",\\N,39.747333,127.474611,0,9,\"U\",\"Asia/Pyongyang\"\n", + "8786,\"Samjiyon Airport\",\"Samjiyon\",\"North Korea\",\"YJS\",\\N,41.907167,128.409889,0,9,\"U\",\"Asia/Pyongyang\"\n", + "8787,\"Geiranger\",\"Geiranger Fjord\",\"Norway\",\"\",\\N,62.474976458,6.1528587341,0,1,\"E\",\"Europe/Oslo\"\n", + "8788,\"Gangtok Helipad\",\"Gangtok\",\"India\",\"\",\\N,27.3521,88.6051,1500,5.5,\"N\",\"Asia/Calcutta\"\n", + "8789,\"McKinnon Airport\",\"Brunswick\",\"United States\",\"SSI\",\"KSSI\",31.1519722,-81.3910556,19,-5,\"A\",\"America/New_York\"\n", + "8790,\"Beaver Falls\",\"Beaver Falls\",\"United States\",\"BFP\",\"KBFP\",40.7724722,-80.3914444,1253,-5,\"A\",\"America/New_York\"\n", + "8791,\"Seaplane Base\",\"Winterhaven\",\"United States\",\"F57\",\\N,28.0575,-81.7628056,140,-5,\"A\",\"America/New_York\"\n", + "8792,\"Georgetown County Airport\",\"Georgetown\",\"United States\",\"GGE\",\"KGGE\",33.3114018,-79.3203139,40,-5,\"A\",\"America/New_York\"\n", + "8793,\"Hardwick Field Airport\",\"Cleveland\",\"United States\",\"HDI\",\"KHDI\",35.2199994,-84.832369,874,-5,\"A\",\"America/New_York\"\n", + "8794,\"Mark Anton Airport\",\"Dayton\",\"United States\",\"2A0\",\\N,35.48625,-84.9310833,718,-5,\"A\",\"America/New_York\"\n", + "8795,\"Jefferson County Airpark\",\"Steubenville\",\"United States\",\"2G2\",\\N,40.3602179,-80.7008742,1196,-5,\"A\",\"America/New_York\"\n", + "8796,\"Renton\",\"Renton\",\"United States\",\"RNT\",\"KRNT\",47.4931389,-122.21575,32,-8,\"A\",\"America/Los_Angeles\"\n", + "8963,\"Bromont Airport\",\"Bromont\",\"Canada\",\"ZBM\",\"CZBM\",45.290833,-72.741944,374,-5,\"A\",\"America/Toronto\"\n", + "8798,\"Brackett Field\",\"La Verne\",\"United States\",\"POC\",\"KPOC\",34.0916667,-117.7817778,1014,-8,\"A\",\"America/Los_Angeles\"\n", + "8799,\"Jekyll Island Airport\",\"Jekyll Island\",\"United States\",\"09J\",\\N,31.0744722,-81.4277778,11,-5,\"A\",\"America/New_York\"\n", + "8800,\"CedarKey\",\"Cedar Key\",\"United States\",\"CDK\",\"KCDK\",29.1342222,-83.0504722,11,-5,\"A\",\"America/New_York\"\n", + "8801,\"Cross City\",\"Cross City\",\"United States\",\"CTY\",\"KCTY\",29.6355278,-83.10475,42,-5,\"A\",\"America/New_York\"\n", + "8802,\"Clemson\",\"Clemson\",\"United States\",\"CEU\",\"KCEU\",34.6722222,-82.8858889,891,-5,\"A\",\"America/New_York\"\n", + "8803,\"Heber City Municipal Airport\",\"Heber\",\"United States\",\"36U\",\\N,40.4818056,-111.4288056,5637,-7,\"A\",\"America/Denver\"\n", + "8804,\"Beech Factory Airport\",\"Wichita\",\"United States\",\"BEC\",\"KBEC\",37.6939167,-97.2149167,1409,-6,\"A\",\"America/Chicago\"\n", + "8805,\"Cherokee County Airport\",\"Canton\",\"United States\",\"47A\",\\N,34.3122175,-84.4221556,1219,-5,\"A\",\"America/New_York\"\n", + "8806,\"Fernandina Beach Municipal Airport\",\"Fernandina Beach\",\"United States\",\"55J\",\\N,30.6118333,-81.4611944,16,-5,\"A\",\"America/New_York\"\n", + "8807,\"Padang Tabing\",\"Padang\",\"Indonesia\",\"\",\"WIMG\",-0.875,100.3519,3,7,\"U\",\"Asia/Jakarta\"\n", + "8808,\"Tom B. David Field Airport\",\"Calhoun\",\"United States\",\"\",\"KCZL\",34.45545,-84.9391622,651,-5,\"A\",\"America/New_York\"\n", + "8809,\"Habersham County Airport\",\"Cornelia\",\"United States\",\"\",\"KAJR\",34.4998483,-83.5566701,1448,-5,\"A\",\"America/New_York\"\n", + "8810,\"Hamburg Hbf\",\"Hamburg\",\"Germany\",\"ZMB\",\\N,53.552776,10.006683,30,1,\"E\",\"Europe/Berlin\"\n", + "8811,\"Georgetown Municipal Airport\",\"Georgetown\",\"United States\",\"GTU\",\"KGTU\",30.678809,-97.6793837,790,-6,\"A\",\"America/Chicago\"\n", + "8812,\"Old Rhinebeck Airport\",\"Rhinebeck\",\"United States\",\"\",\"NY94\",41.969833,-73.864555,323,-5,\"U\",\"America/New_York\"\n", + "8813,\"Duxford Aerodrome\",\"Duxford\",\"United Kingdom\",\"QFO\",\"EGSU\",52.09083,0.13194,125,0,\"E\",\"Europe/London\"\n", + "8814,\"BLABU\",\"Blankenburg\",\"Germany\",\"\",\\N,51.7946,11.0183,551,1,\"E\",\"Europe/Berlin\"\n", + "8815,\"Sidney Muni Airport\",\"Sidney\",\"United States\",\"SNY\",\"KSNY\",41.10167,-102.985,4313,-7,\"A\",\"America/Denver\"\n", + "8816,\"Manantali Bengassi Airport \",\"Bengassi\",\"Mali\",\"\",\"GA46\",13.25561,-10.50432,538,0,\"N\",\"Africa/Bamako\"\n", + "8817,\"Schofields Aerodrome\",\"Schofields\",\"Australia\",\"\",\\N,-33.717389,150.871396,21,10,\"O\",\"Australia/Sydney\"\n", + "8818,\"Luray Caverns Airport\",\"Luray\",\"United States\",\"\",\"KLUA\",38.666944,-78.500556,903,-5,\"A\",\"America/New_York\"\n", + "8819,\"Eagle's Nest Airport\",\"Waynesboro\",\"United States\",\"W13\",\\N,38.076944,-78.944167,1437,-5,\"A\",\"America/New_York\"\n", + "8820,\"Great Keppel Island\",\"Great Keppel Island\",\"Australia\",\"GKL\",\"YGKL\",-23.186,150.943,250,10,\"U\",\"Australia/Brisbane\"\n", + "8821,\"Roper Bar\",\"Roper Bar\",\"Australia\",\"RPB\",\"YRRB\",-14.73457,134.5252,70,9.5,\"U\",\"Australia/Darwin\"\n", + "8822,\"Mount Garnet\",\"Mount Garnet\",\"Australia\",\"\",\"YMRT\",-17.70601,145.14889,2159,10,\"U\",\"Australia/Brisbane\"\n", + "8823,\"Innisfail\",\"Innisfail\",\"Australia\",\"IFL\",\"YIFL\",-17.55908,146.01123,46,10,\"U\",\"Australia/Brisbane\"\n", + "8824,\"Kalaeloa\",\"Kapolei\",\"United States\",\"\",\"PHJR\",21.307222,-158.070278,30,-10,\"U\",\"Pacific/Honolulu\"\n", + "8825,\"Bamyan Airport\",\"Bamyan\",\"Afghanistan\",\"BIN\",\"OABN\",34.816667,67.816667,2550,4.5,\"N\",\"Asia/Kabul\"\n", + "8826,\"Changbaishan Airport\",\"Baishan\",\"China\",\"NBS\",\\N,42.088056,127.548889,2762,8,\"N\",\"Asia/Chongqing\"\n", + "8827,\"SFO Helicopter\",\"Sausalito\",\"United States\",\"\",\\N,37.87856,-122.512742,13,-8,\"A\",\"America/Los_Angeles\"\n", + "8828,\"Lewa Airport\",\"Lewa Downs\",\"Kenya\",\"\",\\N,0.1927,37.4725,6250,3,\"U\",\"Africa/Nairobi\"\n", + "8829,\"Huaorani Ecolodge\",\"Huaorani\",\"Ecuador\",\"\",\\N,-1.0102,-77.1501,1000,-5,\"U\",\"America/Guayaquil\"\n", + "8830,\"Chongjin Airport\",\"Chongjin\",\"North Korea\",\"RGO\",\"ZZ07\",41.4297,129.6488,0,9,\"U\",\"Asia/Pyongyang\"\n", + "8831,\"Moomba\",\"Moomba\",\"Australia\",\"MOO\",\"YOOM\",-28.1,140.2,143,9.5,\"O\",\"Australia/Adelaide\"\n", + "8832,\"Lublin\",\"Lublin\",\"Poland\",\"LUZ\",\"EPLB\",51.239333,22.714083,203,1,\"E\",\"Europe/Warsaw\"\n", + "8834,\"Madison County Executive Airport\",\"Huntsville\",\"United States\",\"\",\"KMDQ\",34.861,-86.558,756,-6,\"A\",\"America/Chicago\"\n", + "8835,\"Leesburg Executive Airport\",\"Leesburg\",\"United States\",\"JYO\",\"KJYO\",39.078,-77.558,389,-5,\"A\",\"America/New_York\"\n", + "8836,\"CNC4\",\"Guelph\",\"Canada\",\"\",\\N,43.563889,-80.196111,1100,-5,\"A\",\"America/Toronto\"\n", + "8837,\"CNC4\",\"Geulph\",\"Canada\",\"\",\\N,43.563889,-80.196111,1100,-5,\"A\",\"America/Toronto\"\n", + "8839,\"Robinson Crusoe Airport\",\"San Juan Bautista\",\"Chile\",\"\",\"SCIR\",-33.665001,-78.929703,433,-4,\"S\",\"America/Santiago\"\n", + "8840,\"Maamigili Airport\",\"Maamigili\",\"Maldives\",\"VAM\",\"VRMV\",3.4702,72.8344,6,5,\"U\",\"Indian/Maldives\"\n", + "8841,\"Hilton Iru fushi\",\"Maldives Hilton Iru fushi\",\"Maldives\",\"IRU\",\"IRUF\",5.7435,73.3249,6,5,\"U\",\"Indian/Maldives\"\n", + "8842,\"Dhigurah Centara Grand Maldives\",\"Dhigurah\",\"Maldives\",\"DHG\",\"DHGU\",3.5939,72.8834,6,5,\"U\",\"Indian/Maldives\"\n", + "8843,\"Beijing Railway Station\",\"Beijing\",\"China\",\"\",\\N,39.5408,116.2516,143,8,\"N\",\"Asia/Chongqing\"\n", + "8844,\"Chengde Railway Station\",\"Chengde\",\"China\",\"\",\\N,40.965755,117.954019,1083,8,\"N\",\"Asia/Chongqing\"\n", + "8845,\"Yongzhou Lingling Airport\",\"Yongzhou\",\"China\",\"LLF\",\\N,26.345556,111.612222,428,8,\"U\",\"Asia/Chongqing\"\n", + "8846,\"Losinj Airport\",\"Mali Losinj\",\"Croatia\",\"LSZ\",\"LDLO\",44.3357,14.2335,154,1,\"E\",\\N\n", + "8847,\"Onslow \",\"Onslow\",\"Australia\",\"ONS\",\"YOLW\",-21.667,115.116,23,8,\"O\",\"Australia/Perth\"\n", + "8848,\"Theodore\",\"Theodore\",\"Australia\",\"TDR\",\"YTDR\",-24.986737,150.093112,560,10,\"N\",\"Australia/Brisbane\"\n", + "8849,\"RUDNIKI \",\"RUDNIKI\",\"Poland\",\"CZW\",\"EPRU\",50.884722,19.202222,262,1,\"E\",\"Europe/Warsaw\"\n", + "8850,\"Williamson-Sodus Airport\",\"Williamson\",\"United States\",\"SDC\",\"KSDC\",43.2347904,-77.119444,424,-5,\"A\",\"America/New_York\"\n", + "8851,\"Clear Lake Metroport\",\"Clear Lake City\",\"United States\",\"CLC\",\\N,29.5569,-95.137497,35,-6,\"A\",\"America/Chicago\"\n", + "8852,\"Gilberto Lavaque\",\"Cafayate\",\"Argentina\",\"CFX\",\"SASC\",-26.06245,-65.932095,5523,-3,\"S\",\"America/Cordoba\"\n", + "8853,\"Woking\",\"Fairoaks\",\"United Kingdom\",\"\",\"EGTF\",51.348056,-0.558611,80,0,\"U\",\"Europe/London\"\n", + "8854,\"Boulder Municipal\",\"Boulder\",\"United States\",\"WBU\",\"KBDU\",40.039444,-105.225833,5288,-7,\"A\",\"America/Denver\"\n", + "8855,\"Neustadt-Glewe\",\"Neustadt-Glewe\",\"Germany\",\"\",\"EDAN\",53.364779,11.607352,115,1,\"E\",\"Europe/Berlin\"\n", + "8856,\"Berchtesgarden BKS\",\"Bischofswiesen\",\"Germany\",\"\",\\N,47.62313,12.972214,2297,1,\"E\",\"Europe/Berlin\"\n", + "8857,\"Hohe Duene\",\"Warnemuende\",\"Germany\",\"\",\"ETMW\",54.181438,12.132082,10,1,\"E\",\"Europe/Berlin\"\n", + "8858,\"Sannvhe\",\"Tangshan\",\"China\",\"TVS\",\"ZBSN\",39.717444,118.002389,25,8,\"N\",\"Asia/Chongqing\"\n", + "8859,\"GOETSENHOVEN AB\",\"GOETSENHOVEN\",\"Belgium\",\"\",\"EBTN\",50.7817,4.95778,246,1,\"E\",\"Europe/Brussels\"\n", + "8860,\"Wildenrath AB Closed\",\"Wildenrath\",\"Germany\",\"\",\"EDUW\",51.113721,6.210245,200,1,\"E\",\"Europe/Berlin\"\n", + "8861,\"Bremgarten Airport\",\"Bremgarten\",\"Germany\",\"\",\"EDTG\",47.902779,7.617778,300,1,\"E\",\"Europe/Berlin\"\n", + "8862,\"Bitburg AB closed\",\"Birburg\",\"Germany\",\"\",\"EDRB\",49.945278,6.565,1200,1,\"U\",\"Europe/Berlin\"\n", + "8863,\"Toul AB closed\",\"Toul\",\"France\",\"\",\\N,48.779999,5.98,936,1,\"E\",\"Europe/Paris\"\n", + "8864,\"Palo Alto Airport of Santa Clara County\",\"Palo Alto\",\"United States\",\"PAO\",\"KPAO\",37.4611111,-122.1150556,7,-8,\"A\",\"America/Los_Angeles\"\n", + "8865,\"Dubai Cruise Terminal\",\"Dubai\",\"United Arab Emirates\",\"\",\\N,25.274193,55.28311,0,4,\"U\",\"Asia/Dubai\"\n", + "8866,\"Ust-Nera Airport\",\"Ust-Nera\",\"Russia\",\"\",\"UEMT\",64.568056,143.236111,3000,11,\"U\",\"Asia/Vladivostok\"\n", + "8867,\"Vostice\",\"Vysoke Myto\",\"Czech Republic\",\"\",\"LKVM\",49.5537,16.1109,988,1,\"E\",\"Europe/Prague\"\n", + "8868,\"Spa La Sauveniere\",\"Spa\",\"Belgium\",\"\",\"EBSP\",50.4824981689453,5.91029977798462,1581,1,\"E\",\"Europe/Brussels\"\n", + "8869,\"Mesa Falcon Field\",\"Mesa\",\"United States\",\"FFZ\",\"KFFZ\",33.4608001708984,-111.727996826172,1394,-7,\"A\",\"America/Phoenix\"\n", + "8870,\"Coolidge Municipal Airport\",\"Cooldige\",\"United States\",\"P08\",\"KP08\",32.9359016418457,-111.427001953125,1574,-7,\"A\",\"America/Phoenix\"\n", + "8871,\"Cottonwood Airport\",\"Cottonwood\",\"United States\",\"P52\",\"KP52\",34.7299995422363,-112.035003662109,3550,-7,\"A\",\"America/Phoenix\"\n", + "8872,\"Suarlee Airport\",\"Namur\",\"Belgium\",\"\",\"EBNM\",50.4879989624023,4.76891994476318,594,1,\"E\",\"Europe/Brussels\"\n", + "8873,\"Hasselt Airport\",\"Hasselt\",\"Belgium\",\"\",\"EBZH\",50.9700012207031,5.37507009506226,141,1,\"E\",\"Europe/Brussels\"\n", + "8874,\"Phoenix Regional Airport\",\"Phoenix\",\"United States\",\"A39\",\"KA39\",32.99169921875,-111.920997619629,1300,-7,\"A\",\"America/Phoenix\"\n", + "8875,\"Wickenburg Municipal Airport\",\"Wickenburg\",\"United States\",\"E25\",\"KE25\",33.96889877,-112.7990036,2377,-7,\"A\",\"America/Phoenix\"\n", + "8876,\"Yangzhou Taizhou Airport\",\"Yangzhou\",\"China\",\"YTY\",\"ZSYA\",32.5617,119.715,7,8,\"N\",\"Asia/Chongqing\"\n", + "8877,\"Oakland Co. Intl\",\"Pontiac\",\"United States\",\"PTK\",\"KPTK\",42.667,-83.35,980,-5,\"A\",\"America/New_York\"\n", + "8878,\"Fuzhou Railway Station\",\"Fuzhou\",\"China\",\"\",\\N,26.11351,119.319998,39,8,\"N\",\"Asia/Chongqing\"\n", + "8879,\"Xiamen Railway Station\",\"Xiamen\",\"China\",\"\",\\N,24.4679,118.116,255,8,\"N\",\"Asia/Chongqing\"\n", + "8880,\"Kissidougou\",\"Kissidougou\",\"Guinea\",\"KSI\",\"GUKU\",9.160556,-10.124443,550,0,\"N\",\"Africa/Conakry\"\n", + "8881,\"Pecs\",\"Pecs\",\"Hungary\",\"QPJ\",\\N,46.070833,18.233056,1000,1,\"E\",\"Europe/Budapest\"\n", + "8882,\"Neuwied\",\"Neuwied\",\"Germany\",\"\",\\N,50.432008,7.472785,300,1,\"E\",\"Europe/Berlin\"\n", + "8883,\"Castelnuovo di Garfagnana\",\"Castelnuovo di Garfagnana\",\"Italy\",\"\",\\N,44.116464,10.409954,1100,1,\"E\",\"Europe/Rome\"\n", + "8884,\"Portovenere\",\"Portovenere\",\"Italy\",\"\",\\N,44.0519359,9.8353078,10,1,\"E\",\"Europe/Rome\"\n", + "8885,\"Amsterdam Zuid WTC\",\"Amsterdam\",\"Netherlands\",\"\",\\N,52.338841,4.871471,10,1,\"E\",\"Europe/Amsterdam\"\n", + "8886,\"Budapest Keteli\",\"Budapest\",\"Hungary\",\"\",\\N,47.500497,19.085484,100,1,\"E\",\"Europe/Budapest\"\n", + "8887,\"Zagreb Glavni Kolod.\",\"Zagreb\",\"Croatia\",\"\",\\N,45.804289,15.979121,500,1,\"E\",\"Europe/Zagreb\"\n", + "8888,\"Dillant Hopkins Airport\",\"Keene\",\"United States\",\"EEN\",\\N,72.270833,42.898333,149,-5,\"A\",\\N\n", + "8889,\"Tianshui Airport\",\"Tianshui\",\"China\",\"THQ\",\"ZLTS\",34.333,105.514,9186,8,\"N\",\"Asia/Chongqing\"\n", + "8890,\"Kawama Airport\",\"Kawama\",\"Cuba\",\"\",\"MUKW\",23.123642,-81.301805,16,-5,\"U\",\"America/Havana\"\n", + "8891,\"Yumuri Valley\",\"Yumuri Valley\",\"Cuba\",\"\",\\N,23.1,-81.9,0,-5,\"U\",\"America/Havana\"\n", + "8892,\"Kooddoo\",\"Kooddoo\",\"Maldives\",\"GKK\",\"VRMO\",0.7308,73.433,10,5,\"U\",\"Indian/Maldives\"\n", + "8893,\"Glasgow Industrial\",\"Glasgow\",\"United States\",\"\",\"07MT\",48.4211069,-106.5277039,2762,-7,\"A\",\"America/Denver\"\n", + "8894,\"Rochester Airport\",\"Rochester\",\"United Kingdom\",\"RCS\",\"EGTO\",51.351944,0.502778,426,0,\"E\",\"Europe/London\"\n", + "8895,\"Den Haag Centraal\",\"Den Haag\",\"Netherlands\",\"\",\\N,52.081667,4.329167,0,1,\"E\",\"Europe/Amsterdam\"\n", + "8896,\"Paris Nord\",\"Paris\",\"France\",\"\",\\N,48.880931,2.355323,0,1,\"E\",\"Europe/Paris\"\n", + "8897,\"Venlo railway station\",\"Venlo\",\"Netherlands\",\"\",\\N,51.364722,6.171389,0,1,\"E\",\"Europe/Amsterdam\"\n", + "8898,\"Monchengladbach Central Station\",\"Monchengladbach\",\"Germany\",\"\",\\N,51.196,6.446,0,1,\"E\",\"Europe/Berlin\"\n", + "8899,\"Utrecht Centraal\",\"Utrecht \",\"Netherlands\",\"\",\\N,52.089167,5.109722,0,1,\"E\",\"Europe/Amsterdam\"\n", + "8900,\"Rensselaer Rail Station\",\"Albany\",\"United States\",\"\",\\N,42.641389,-73.741111,324,-5,\"A\",\"America/New_York\"\n", + "8901,\"Amtrak Station\",\"Tacoma\",\"United States\",\"\",\\N,47.242733,-122.42041,50,-8,\"A\",\"America/Los_Angeles\"\n", + "8902,\"Amtrak Station\",\"Orlando\",\"United States\",\"\",\\N,28.5259,-81.3813,82,-5,\"A\",\"America/New_York\"\n", + "8903,\"Denali Rail\",\"Healy\",\"United States\",\"\",\\N,63.7306,-148.913733333333,1730,-9,\"A\",\"America/Anchorage\"\n", + "8904,\"Albian Aerodrome\",\"Wood Buffalo\",\"Canada\",\"JHL\",\\N,57.223889,-111.418889,1048,-7,\"A\",\"America/Edmonton\"\n", + "8905,\"Monroe Reqional Airport\",\"Charlotte\",\"United States\",\"EQY\",\\N,35.01833,-80.62001,679,-5,\"A\",\"America/New_York\"\n", + "8906,\"Station Aare\",\"Aare\",\"Sweden\",\"\",\\N,63.398779,13.075956,1240,1,\"E\",\"Europe/Stockholm\"\n", + "8907,\"Villach Hauptbahnhof\",\"Villach\",\"Austria\",\"\",\\N,46.618333,13.848333,1644,1,\"E\",\"Europe/Vienna\"\n", + "8908,\"Krakow Glowny\",\"Krakow\",\"Poland\",\"\",\\N,50.065556,19.947222,719,1,\"E\",\"Europe/Warsaw\"\n", + "8909,\"Wien Meidling\",\"Vienna\",\"Austria\",\"\",\\N,48.175,16.335278,738,1,\"E\",\"Europe/Vienna\"\n", + "8910,\"Roma Termini\",\"Rome\",\"Italy\",\"\",\\N,41.900833,12.501944,197,1,\"E\",\"Europe/Rome\"\n", + "8911,\"Napoli Centrale\",\"Naples\",\"Italy\",\"\",\\N,40.8525,14.271944,39,1,\"E\",\"Europe/Rome\"\n", + "8912,\"Euston Station\",\"London\",\"United Kingdom\",\"\",\\N,51.5284,-0.1331,89,0,\"E\",\"Europe/London\"\n", + "8913,\"Kankan\",\"Kankan\",\"Guinea\",\"KNN\",\"GUXD\",10.448333,-9.227499,8694,0,\"U\",\"Africa/Conakry\"\n", + "8914,\"Termal\",\"Rio Hondo\",\"Argentina\",\"RHD\",\"SANH\",-27.509946,-64.936666,1181,-3,\"S\",\"America/Cordoba\"\n", + "8915,\"Guangzhou Railway Station\",\"Guangzhou\",\"China\",\"\",\\N,23.151343,113.252073,19,8,\"N\",\"Asia/Chongqing\"\n", + "8916,\"Shenzhen West Railway Station\",\"Shenzhen\",\"China\",\"\",\\N,22.532043,113.908729,3,8,\"N\",\"Asia/Chongqing\"\n", + "8917,\"Shenzhen North Railway Station\",\"Shenzhen\",\"China\",\"\",\\N,22.607058,114.027203,229,8,\"N\",\"Asia/Chongqing\"\n", + "8918,\"Keetmanshoop\",\"Keetmanshoop\",\"Namibia\",\"KMP\",\"FYKT\",-26.5397,18.1114,3506,1,\"U\",\"Africa/Windhoek\"\n", + "8919,\"Shekou Ferry Terminal\",\"Shenzhen\",\"China\",\"\",\\N,22.476555,113.912855,2,8,\"N\",\"Asia/Chongqing\"\n", + "8920,\"Zhuhai-Jiuzhou Port\",\"Zhuhai\",\"China\",\"\",\\N,22.233333,113.583333,2,8,\"N\",\"Asia/Chongqing\"\n", + "8921,\"Kangding Airport\",\"Kangding\",\"China\",\"KGT\",\"ZUKD\",30.1575,101.734722,14042,8,\"N\",\"Asia/Chongqing\"\n", + "8922,\"Train Station\",\"Aranyaprathet\",\"Thailand\",\"\",\\N,13.4058,102.311,150,7,\"N\",\"Asia/Bangkok\"\n", + "8923,\"Train Station\",\"Nha Trang\",\"Vietnam\",\"\",\\N,12.15,109.11,50,7,\"N\",\"Asia/Saigon\"\n", + "8924,\"Veliky Ustyug\",\"Veliky Ustyug\",\"Russia\",\"VUS\",\"ULWU\",60.788333,46.26,331,4,\"N\",\"Europe/Moscow\"\n", + "8925,\"Iowa City Municipal Airport\",\"Iowa City\",\"United States\",\"IOW\",\"KIOW\",41.639244,-91.546503,668,-6,\"A\",\"America/Chicago\"\n", + "8926,\"Turpan\",\"Turpan\",\"China\",\"TLQ\",\"ZWTP\",42.942328,89.185877,20,8,\"U\",\"Asia/Chongqing\"\n", + "8927,\"Lorenzo\",\"Morro de Sao Paulo\",\"Brazil\",\"\",\"SNCL\",-13.389444445,-38.91,3,-3,\"S\",\"America/Fortaleza\"\n", + "8928,\"Windom Municipal Airport\",\"Windom\",\"United States\",\"MWM\",\"KMWM\",43.9134017,-95.1094083,1410,-6,\"A\",\"America/Chicago\"\n", + "8929,\"Sasakwa Airstrip\",\"Sasakwa\",\"Tanzania\",\"\",\\N,-2.0714,34.5068,4000,3,\"N\",\"Africa/Dar_es_Salaam\"\n", + "8930,\"Yabuli\",\"Yabuli Town\",\"China\",\"\",\\N,44.4653,128.27,1200,8,\"N\",\"Asia/Chongqing\"\n", + "8931,\"Longview Ranch Airport\",\"Longview\",\"United States\",\"\",\"OG39\",44.6608611,-119.6526153,2080,-8,\"A\",\"America/Los_Angeles\"\n", + "8932,\"Rothera Research Station\",\"Rothera Research Station\",\"United Kingdom\",\"\",\"EGAR\",-67.34,-68.08,200,12,\"U\",\"Antarctica/South_Pole\"\n", + "8933,\"Sortavala\",\"Sortavala\",\"Russia\",\"\",\"ULPW\",61.736099,30.673599,14,4,\"N\",\"Europe/Moscow\"\n", + "8934,\"Valaam\",\"Valaam\",\"Russia\",\"\",\\N,61.37115,30.88977,15,4,\"N\",\"Europe/Moscow\"\n", + "8935,\"Lee Airport\",\"Annapolis\",\"United States\",\"ANP\",\"KANP\",38.942778,-76.568333,34,-5,\"A\",\"America/New_York\"\n", + "8936,\"Songshan Train Station\",\"Taipei\",\"Taiwan\",\"\",\\N,25.049214,121.577961,0,8,\"N\",\"Asia/Taipei\"\n", + "8937,\"Kaohsiung Station\",\"Kaohsiung\",\"Taiwan\",\"\",\\N,22.638432,120.301877,39,8,\"N\",\"Asia/Taipei\"\n", + "8938,\"Hualien Station\",\"Hualien\",\"Taiwan\",\"\",\\N,23.992722,121.60135,45,8,\"N\",\"Asia/Taipei\"\n", + "8939,\"El Merk\",\"El Merk\",\"Algeria\",\"\",\\N,30.300039,8.160833,0,1,\"U\",\"Africa/Algiers\"\n", + "8940,\"Budapest Keleti pu.\",\"Budapest\",\"Hungary\",\"\",\\N,-47.500278,-160.916111,0,1,\"E\",\\N\n", + "8941,\"Bratislava hl. st.\",\"Bratislava\",\"Slovakia\",\"\",\\N,-48.158263,17.105839,430,1,\"E\",\\N\n", + "8942,\"Ndutu\",\"Ndutu\",\"Tanzania\",\"DUU\",\"HTND\",-3.0243398,34.98450589999993,5400,3,\"U\",\"Africa/Dar_es_Salaam\"\n", + "8943,\"Cuamba\",\"Cuamba\",\"Mozambique\",\"FXO\",\"FQCB\",-14.8175,36.528333,1931,2,\"N\",\"Africa/Maputo\"\n", + "8944,\"Bodaibo\",\"Bodaibo\",\"Russia\",\"ODO\",\"UIKB\",57.5137,114.1348,940,9,\"N\",\"Asia/Irkutsk\"\n", + "8945,\"Berdoba Airport\",\"Berdoba\",\"Chad\",\"\",\\N,16.072,22.8466,2953,1,\"N\",\"Africa/Ndjamena\"\n", + "8946,\"Zhytomyr\",\"Zhytomyr\",\"Ukraine\",\"ZTR\",\"UKKV\",50.270556,28.738611,0,2,\"E\",\"Europe/Kiev\"\n", + "8947,\"Mozyr\",\"Mozyr\",\"Belarus\",\"\",\"UMGM\",51.981944,29.165,0,3,\"N\",\"Europe/Minsk\"\n", + "8948,\"Paluknys\",\"Paluknys\",\"Lithuania\",\"\",\"EYVP\",54.483056,24.989722,0,2,\"E\",\"Europe/Vilnius\"\n", + "8949,\"Mattala Rajapaksa Intl.\",\"Mattala\",\"Sri Lanka\",\"HRI\",\"VCRI\",6.284467,81.124128,157,5.5,\"N\",\"Asia/Colombo\"\n", + "8950,\"Pecos Municipal Airport\",\"Pecos\",\"United States\",\"PEQ\",\"KPEQ\",31.3823889,-103.5107222,2613,-6,\"A\",\"America/Chicago\"\n", + "8951,\"Hattiesburg Bobby L. Chain Municipal Airport\",\"Hattiesburg\",\"United States\",\"HBG\",\"KHBG\",31.2649444,-89.2528889,151,-6,\"A\",\"America/Chicago\"\n", + "8952,\"Botucatu\",\"Botucatu\",\"Brazil\",\"QCJ\",\"SDBK\",-22.938,-48.467,3012,-3,\"S\",\"America/Sao_Paulo\"\n", + "8953,\"Anapolis Military Airbase\",\"Anapolis\",\"Brazil\",\"\",\"SBAN\",-16.23,-48.966,3731,-3,\"S\",\"America/Sao_Paulo\"\n", + "8954,\"Sao Carlos TAM\",\"Sao Carlos\",\"Brazil\",\"QSC\",\"SDSC\",-21.875,-47.904,2649,-3,\"S\",\"America/Sao_Paulo\"\n", + "8955,\"Byron Airport\",\"Byron Bay\",\"Australia\",\"\",\\N,28.383504,153.365447,10,10,\"O\",\\N\n", + "8956,\"Grindelwald\",\"Grindelwald\",\"Switzerland\",\"\",\\N,46.35106,7.57408,6000,1,\"U\",\"Europe/Zurich\"\n", + "8957,\"Grindelwald\",\"Grindelwald\",\"Switzerland\",\"\",\\N,46.3506,7.57408,6000,1,\"U\",\"Europe/Zurich\"\n", + "8958,\"Chan Gurney\",\"Yankton\",\"United States\",\"YKN\",\"KYKN\",42.8711,-97.3969,1200,-6,\"A\",\"America/Chicago\"\n", + "8959,\"Selfield Airport\",\"Selma Alabama\",\"United States\",\"SES\",\"KSES\",32.4404,-86.9522,131,-6,\"A\",\"America/Chicago\"\n", + "8960,\"Linkwasha Airfield\",\"Hwange National Park\",\"Zimbabwe\",\"\",\\N,-19.123333,27.201389,3543,2,\"N\",\"Africa/Harare\"\n", + "8961,\"Sir Bani Yas Island\",\"Sir Bani Yas Island\",\"United Arab Emirates\",\"XSB\",\\N,24.2856083,52.5783472,5,4,\"U\",\"Asia/Dubai\"\n", + "8962,\"Dalma Airport\",\"Dalma Island\",\"United Arab Emirates\",\"ZDY\",\\N,24.5033833,52.3360528,8,4,\"U\",\"Asia/Dubai\"\n", + "8964,\"Playa del Carmen Airport\",\"Playa del Carmen\",\"Mexico\",\"PCM\",\\N,20.6225,-87.082221,1,-6,\"U\",\"America/Mexico_City\"\n", + "8965,\"Ellough\",\"Beccles\",\"United Kingdom\",\"\",\"EGSM\",52.438333,1.606944,80,0,\"E\",\"Europe/London\"\n", + "8966,\"Kratie Airport\",\"Kratie\",\"Cambodia\",\"KTI\",\"VDKT\",12.4905,106.055,3610,7,\"N\",\"Asia/Phnom_Penh\"\n", + "8967,\"Caldera Airport\",\"Caldera\",\"Chile\",\"\",\"SCCL\",-27.078052,-70.795305,180,-4,\"U\",\"America/Santiago\"\n", + "8968,\"San Pedro de Atacama Airport\",\"San Pedro de Atacama\",\"Chile\",\"\",\"SCPE\",-22.918888,-68.162777,7959,-4,\"U\",\"America/Santiago\"\n", + "8969,\"Copacabana Airport\",\"Copacabana\",\"Bolivia\",\"\",\"SLCC\",-16.183326,-69.087501,12591,-4,\"U\",\"America/La_Paz\"\n", + "8970,\"Havelock Island Seaport\",\"Havelock Island\",\"India\",\"\",\\N,12.042636,92.982574,0,5.5,\"N\",\"Asia/Calcutta\"\n", + "8971,\"Guyuan\",\"Guyuan\",\"China\",\"GYU\",\"ZLGY\",36.078611,106.216667,5577,8,\"U\",\"Asia/Chongqing\"\n", + "8972,\"Brawdy RAF Airport\",\"Brawdy\",\"United Kingdom\",\"\",\"EGDA\",51.880462,-5.12148,355,0,\"E\",\"Europe/London\"\n", + "8973,\"Gaios Bay\",\"Paxi\",\"Greece\",\"\",\\N,39.195944,20.195961,0,2,\"E\",\"Europe/Athens\"\n", + "8974,\"Changhai\",\"Changhai\",\"China\",\"CNI\",\"ZYCH\",39.266389,122.666944,1,8,\"N\",\"Asia/Chongqing\"\n", + "8975,\"Redhill Aerodrome\",\"Redhill\",\"United Kingdom\",\"KRH\",\"EGKR\",51.213612,-0.13861,221,0,\"E\",\"Europe/London\"\n", + "8976,\"Bahnhof\",\"Bad Gastein\",\"Austria\",\"\",\\N,47.1,13.0167,3287,1,\"E\",\"Europe/Vienna\"\n", + "8977,\"Acquafredda Station\",\"Maratea\",\"Italy\",\"\",\\N,40,15.7167,1000,1,\"E\",\"Europe/Rome\"\n", + "8978,\"Victoria Station\",\"London\",\"United Kingdom\",\"\",\\N,51.4964,-0.14391,48,0,\"E\",\"Europe/London\"\n", + "8979,\"Jiagedaqi Airport\",\"Jiagedaqi District\",\"China\",\"JGD\",\\N,50.375,124.117,1205,8,\"N\",\"Asia/Chongqing\"\n", + "8980,\"Chinchilla\",\"Chinchilla\",\"Australia\",\"CCL\",\"YCCA\",-26.769444,150.616667,1030,10,\"O\",\"Australia/Brisbane\"\n", + "8981,\"Frazier Lake Airpark\",\"Hollister\",\"United States\",\"1C9\",\\N,54.013333333333335,-124.76833333333333,152,-8,\"A\",\"America/Vancouver\"\n", + "8982,\"Hayward Executive Airport\",\"Hayward\",\"United States\",\"HWD\",\"KHWD\",37.65888888888889,-122.12166666666666,52,-8,\"A\",\"America/Los_Angeles\"\n", + "8983,\"Motueka\",\"Motueka\",\"New Zealand\",\"MZP\",\"NZMK\",-41.123299,172.988998,39,12,\"Z\",\"Pacific/Auckland\"\n", + "8984,\"Shute Harbour\",\"Shute Harbour\",\"Australia\",\"JHQ\",\"YSHR\",-20.278299,148.757004,12,10,\"O\",\"Australia/Brisbane\"\n", + "8985,\"Enstone\",\"Enstone\",\"United Kingdom\",\"\",\"EGTN\",51.928167,-1.4285,550,0,\"U\",\"Europe/London\"\n", + "8986,\"Portoferrario Cruise Terminal\",\"Portoferrario\",\"Italy\",\"\",\\N,42.49,10.19,13,1,\"E\",\"Europe/Rome\"\n", + "8987,\"Pittsburgh Amtrak\",\"Pittsburgh\",\"United States\",\"\",\\N,40.4406,-79.9961,1370,-5,\"A\",\"America/New_York\"\n", + "8988,\"Raton Amtrak\",\"Raton\",\"United States\",\"\",\\N,36.9033,-104.4386,8800,-7,\"A\",\"America/Denver\"\n", + "8989,\"Ann Arbor Municipal Airport\",\"Ann Arbor\",\"United States\",\"ARB\",\"KARB\",42.132274,-83.444418,839,-5,\"A\",\"America/New_York\"\n", + "8990,\"Myrdal Station\",\"Myrdal\",\"Norway\",\"\",\\N,60.4418,7.0723,2844,1,\"E\",\"Europe/Oslo\"\n", + "8991,\"Flam Station\",\"Flam\",\"Norway\",\"\",\\N,60.5017,7.0714,6,1,\"E\",\"Europe/Oslo\"\n", + "8992,\"Leikanger Terminal\",\"Leikanger\",\"Norway\",\"\",\\N,61.1351,6.4723,6,1,\"E\",\"Europe/Oslo\"\n", + "8993,\"North Sea\",\"Gryphon FPSO\",\"United Kingdom\",\"\",\"GRY1\",59.35,1.57,0,0,\"U\",\\N\n", + "8994,\"Shepparton\",\"Shepparton\",\"Australia\",\"SHT\",\"YSHT\",-36.428902,145.393005,374,10,\"O\",\"Australia/Hobart\"\n", + "8995,\"Temora\",\"Temora\",\"Australia\",\"TEM\",\"YTEM\",-34.4248,147.5104,921,10,\"O\",\"Australia/Sydney\"\n", + "8996,\"Gayndah\",\"Gayndah\",\"Australia\",\"GAH\",\"YGAY\",-25.61528,151.62083,369,10,\"N\",\"Australia/Brisbane\"\n", + "8997,\"Popondetta\",\"Popondetta\",\"Papua New Guinea\",\"EIA\",\\N,-8.19999980927,147.850006104,311,10,\"U\",\"Pacific/Port_Moresby\"\n", + "8998,\"Wilcannia\",\"Wilcannia\",\"Australia\",\"WIO\",\"YWCA\",-31.5174999237,143.378997803,250,10,\"O\",\"Australia/Sydney\"\n", + "8999,\"Bollards Lagoon\",\"Bollards Lagoon Station\",\"Australia\",\"\",\\N,-28.9832259,140.852844,250,9.5,\"O\",\"Australia/Adelaide\"\n", + "9000,\"Delamere Range\",\"Delamere Range\",\"Australia\",\"\",\\N,-15.7467,131.919998,200,9.5,\"U\",\"Australia/Darwin\"\n", + "9001,\"Ivanhoe\",\"Ivanhoe\",\"Australia\",\"\",\"YIVO\",-32.883301,144.309998,331,10,\"O\",\"Australia/Sydney\"\n", + "9002,\"Menindee\",\"Menindee\",\"Australia\",\"\",\"YMED\",-32.22,142.2418,164,10,\"O\",\"Australia/Sydney\"\n", + "9003,\"Naduri\",\"Naduri\",\"Papua New Guinea\",\"\",\\N,-8.93,147.73,900,10,\"U\",\"Pacific/Port_Moresby\"\n", + "9004,\"Pooncarie\",\"Pooncarie\",\"Australia\",\"\",\"YPCE\",-33.366699,142.587977,184,10,\"O\",\"Australia/Sydney\"\n", + "9005,\"Wiawera Station\",\"Wiawera station\",\"Australia\",\"\",\\N,-32.29515,140.4145,180,9.5,\"O\",\"Australia/Adelaide\"\n", + "9006,\"Tilpa\",\"Tilpa\",\"Australia\",\"\",\"YTLP\",-30.556,144.251,280,10,\"O\",\"Australia/Sydney\"\n", + "9007,\"Yarramba Station\",\"Yarramba Station\",\"Australia\",\"\",\\N,-31.66136,140.6277,180,9.5,\"O\",\"Australia/Adelaide\"\n", + "9008,\"Reichenbach\",\"Reichenbach im Kandertal\",\"Switzerland\",\"\",\"LSGR\",46.61298,7.67773,2300,1,\"E\",\"Europe/Zurich\"\n", + "9009,\"Takayama Station\",\"Takayama\",\"Japan\",\"\",\\N,36.1406,137.2519,2200,9,\"N\",\"Asia/Tokyo\"\n", + "9010,\"Himeji Station\",\"Himeji\",\"Japan\",\"\",\\N,34.49395,134.412706,141,9,\"U\",\"Asia/Tokyo\"\n", + "9011,\"Miyajimaguchi Station\",\"Miyajimaguchi\",\"Japan\",\"\",\\N,34.3122,132.3022,6,9,\"U\",\"Asia/Tokyo\"\n", + "9012,\"Miyajima Port\",\"Miyajima\",\"Japan\",\"\",\\N,34.302043,132.32213,0,9,\"U\",\"Asia/Tokyo\"\n", + "9013,\"Brown Bluff Port\",\"Brown Bluff\",\"Antarctica\",\"\",\\N,-63.32,-56.54,0,12,\"S\",\"Antarctica/South_Pole\"\n", + "9014,\"Devil Island Port\",\"Devil Island\",\"Antarctica\",\"\",\\N,-63.48,-57.17,0,12,\"S\",\"Antarctica/South_Pole\"\n", + "9015,\"Gourdin Island Port\",\"Gourdin Island\",\"Antarctica\",\"\",\\N,-63.12,-57.18,0,12,\"S\",\"Antarctica/South_Pole\"\n", + "9016,\"Cuverville Island Port\",\"Cuverville Island\",\"Antarctica\",\"\",\\N,-64.41,-62.38,0,12,\"S\",\"Antarctica/South_Pole\"\n", + "9017,\"Neko Harbor\",\"Neko Harbor\",\"Antarctica\",\"\",\\N,-64.5,-62.33,0,12,\"S\",\"Antarctica/South_Pole\"\n", + "9018,\"Port Lockroy\",\"Port Lockroy\",\"Antarctica\",\"\",\\N,-64.4931,-63.294,0,12,\"S\",\"Antarctica/South_Pole\"\n", + "9019,\"Walker Bay\",\"Walker Bay\",\"Antarctica\",\"\",\\N,-62.38,-60.42,0,12,\"S\",\"Antarctica/South_Pole\"\n", + "9020,\"Whalers Bay\",\"Deception Island\",\"Antarctica\",\"\",\\N,-62.5837,-60.39,0,12,\"S\",\"Antarctica/South_Pole\"\n", + "9021,\"Labadee Port\",\"Labadee\",\"Haiti\",\"\",\\N,19.4711,-72.1444,0,-5,\"A\",\"America/Port-au-Prince\"\n", + "9022,\"Lagos Lagoon\",\"Lekki\",\"Nigeria\",\"\",\\N,6.465907,3.532115,0,1,\"N\",\"Africa/Lagos\"\n", + "9023,\"Escravos\",\"Escravos\",\"Nigeria\",\"\",\\N,5.617203,5.187993,0,1,\"U\",\"Africa/Lagos\"\n", + "9024,\"Volosovo\",\"Volosovo\",\"Russia\",\"\",\"XUMW\",55.0683,37.4517,577,4,\"N\",\"Europe/Moscow\"\n", + "9025,\"Bijie Feixiong Airport\",\"Bijie\",\"China\",\"BFJ\",\\N,27.253,105.426,5250,8,\"N\",\"Asia/Chongqing\"\n", + "9026,\"Lensk\",\"Lensk\",\"Russia\",\"ULK\",\"UERL\",60.723,114.825,843,10,\"U\",\"Asia/Yakutsk\"\n", + "9027,\"Fairbanks Train Depot\",\"Fairbanks\",\"United States\",\"\",\\N,64.5109,-147.4445,446,-9,\"A\",\"America/Anchorage\"\n", + "9028,\"Denali Train Depot\",\"Denali\",\"United States\",\"\",\\N,63.43083,-150.31111,3733,-9,\"A\",\"America/Anchorage\"\n", + "9029,\"Talkeetna Train Depot\",\"Talkeetna\",\"United States\",\"\",\\N,62.18934,-150.06177,348,-9,\"A\",\"America/Anchorage\"\n", + "9030,\"Anchorage Rail Depot\",\"Anchorage\",\"United States\",\"\",\\N,61.1318,-149.5326,102,-9,\"A\",\"America/Anchorage\"\n", + "9031,\"Whittier Port\",\"Whittier\",\"United States\",\"\",\\N,60.774174,-148.677649,0,-9,\"A\",\"America/Anchorage\"\n", + "9032,\"Qingdao Railway Station\",\"Qingdao\",\"China\",\"\",\\N,36.063497,120.312542,45,8,\"N\",\"Asia/Chongqing\"\n", + "9033,\"Beijing South Railway Station\",\"Beijing\",\"China\",\"\",\\N,39.5157,116.2235,144,8,\"N\",\"Asia/Chongqing\"\n", + "9034,\"Shanghai Railway Station\",\"Shanghai\",\"China\",\"\",\\N,31.251552,121.450446,16,8,\"N\",\"Asia/Chongqing\"\n", + "9035,\"Suzhou Railway Station\",\"Suzhou\",\"China\",\"\",\\N,31.195,120.3623,9,8,\"N\",\"Asia/Chongqing\"\n", + "9036,\"Biluty\",\"Khamar-Daban\",\"Russia\",\"\",\\N,51.994,102.099,3000,9,\"N\",\"Asia/Irkutsk\"\n", + "9037,\"Shumak\",\"Khamar-Daban\",\"Russia\",\"\",\\N,51.964,101.867,3600,9,\"N\",\"Asia/Irkutsk\"\n", + "9038,\"Shumak\",\"Khamar-Daban\",\"Russia\",\"\",\\N,51.964,101.897,3300,9,\"N\",\"Asia/Irkutsk\"\n", + "9039,\"Kitoi\",\"Khamar-Daban\",\"Russia\",\"\",\\N,52.111,101.986,2000,9,\"N\",\"Asia/Irkutsk\"\n", + "9040,\"Kitoi\",\"Khamar-Daban\",\"Russia\",\"\",\\N,52.111,101.986,2000,9,\"N\",\"Asia/Irkutsk\"\n", + "9041,\"Angasolka\",\"Baikal\",\"Russia\",\"\",\\N,51.758,103.849,1500,9,\"N\",\"Asia/Irkutsk\"\n", + "9042,\"Kavalerovo\",\"Kavalerovo\",\"Russia\",\"\",\"UHWK\",44.273,135.029,660,11,\"N\",\"Asia/Vladivostok\"\n", + "9043,\"Igdir\",\"Igdir\",\"Turkey\",\"IGD\",\"LTCT\",39.983056,43.866389,3100,2,\"E\",\"Europe/Istanbul\"\n", + "9044,\"Sanliurfa GAP\",\"Sanliurfa\",\"Turkey\",\"GNY\",\"LTCS\",37.45,38.9,2700,2,\"E\",\"Europe/Istanbul\"\n", + "9045,\"Zafer\",\"Kutahya\",\"Turkey\",\"KZR\",\"LTBZ\",39.111389,30.13,3327,2,\"E\",\"Europe/Istanbul\"\n", + "9046,\"Barentsburg\",\"Barentsburg\",\"Svalbard\",\"\",\\N,78.1006,14.1998,20,1,\"U\",\"Arctic/Longyearbyen\"\n", + "9047,\"Piramida\",\"Piramida\",\"Svalbard\",\"\",\\N,78.6528,16.3392,20,1,\"U\",\"Arctic/Longyearbyen\"\n", + "9048,\"Velikiye Luki\",\"Velikiye Luki\",\"Russia\",\"VLU\",\"ULOL\",56.381667,30.61,328,4,\"N\",\"Europe/Moscow\"\n", + "9049,\"Boston Back Bay Station\",\"Boston\",\"United States\",\"ZTY\",\\N,42.3478,-71.075,20,-5,\"A\",\"America/New_York\"\n", + "9050,\"Burlington GO Station\",\"Burlington\",\"Canada\",\"\",\\N,43.3408282,-79.8093881,243,-5,\"A\",\"America/Toronto\"\n", + "9051,\"Niagra Falls Railway Station\",\"Niagra Falls\",\"Canada\",\"\",\\N,43.1088,-79.0634,521,-5,\"A\",\"America/New_York\"\n", + "9052,\"Niagara Falls Station\",\"Niagara Falls\",\"United States\",\"\",\\N,43.1135,-79.0318,0,-5,\"A\",\"America/New_York\"\n", + "9053,\"Yelahanka AFB\",\"Bangalore\",\"India\",\"YLK\",\"VOYK\",13.136,77.607,2912,5.5,\"N\",\"Asia/Calcutta\"\n", + "9054,\"Yeltsovka\",\"Novosibirsk\",\"Russia\",\"\",\"UNNE\",55.077,82.997,617,7,\"N\",\"Asia/Omsk\"\n", + "9055,\"Veligandu Resort\",\"Veligandu\",\"Maldives\",\"\",\\N,4.1753,73.0037,0,5,\"U\",\"Indian/Maldives\"\n", + "9056,\"Kuramathi\",\"Kuramathi\",\"Maldives\",\"\",\\N,4.1525,73,0,5,\"U\",\"Indian/Maldives\"\n", + "9057,\"Olkiombo Airstrip\",\"Masai Mara\",\"Kenya\",\"\",\"HKOK\",-1.409569,35.110788,4997,3,\"U\",\"Africa/Nairobi\"\n", + "9058,\"Shanghai South Railway Station\",\"Shanghai\",\"China\",\"\",\\N,31.154425,121.42416,13,8,\"N\",\"Asia/Chongqing\"\n", + "9059,\"Suzhou North Railway Station\",\"Suzhou\",\"China\",\"\",\\N,31.423646,120.639045,6,8,\"N\",\"Asia/Chongqing\"\n", + "9060,\"Ulithi\",\"Ulithi\",\"Micronesia\",\"ULI\",\\N,10.016699791,139.800003052,10,10,\"O\",\"Pacific/Truk\"\n", + "9061,\"Mar-Kuel\",\"Mar-Kuel\",\"Russia\",\"\",\"UHHK\",57.2712,132.314,200,11,\"N\",\"Asia/Vladivostok\"\n", + "9062,\"Kodinsk\",\"Kodinsk\",\"Russia\",\"\",\"UNKI\",58.285,99.055,200,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "9063,\"Nanjing Railway Station\",\"Nanjing\",\"China\",\"\",\\N,32.088583,118.792189,29,8,\"N\",\"Asia/Chongqing\"\n", + "9064,\"Balkanabat\",\"Balkanabat\",\"Turkmenistan\",\"BKN\",\\N,39.481389,54.362778,7,5,\"N\",\"Asia/Ashgabat\"\n", + "9065,\"Belmont Airport\",\"Lake Macquarie\",\"Australia\",\"BEO\",\"YPEC\",-33.066667,151.648333,5,10,\"O\",\"Australia/Sydney\"\n", + "9066,\"Clayton County Tara Field\",\"Hampton\",\"United States\",\"4A7\",\"K4A7\",33.389099,-84.332397,874,-5,\"A\",\"America/New_York\"\n", + "9067,\"Stapleton International Airport\",\"Denver\",\"United States\",\"\",\"DENX\",39.779255,-104.88184,5333,-7,\"A\",\"America/Denver\"\n", + "9068,\"Brampton Island\",\"Brampton Island\",\"Australia\",\"BMP\",\"YBPI\",-20.804444402073734,149.2794443842832,5,10,\"O\",\"Australia/Brisbane\"\n", + "9069,\"Shanghai Maglev Long Yang Road Station\",\"Shanghai\",\"China\",\"\",\\N,31.202854,121.558335,16,8,\"U\",\"Asia/Chongqing\"\n", + "9070,\"Nuernberg Port\",\"Nuernberg\",\"Germany\",\"\",\\N,49.392222,11.061944,990,1,\"E\",\"Europe/Berlin\"\n", + "9071,\"NAS Alameda\",\"Alameda\",\"United States\",\"NGZ\",\"KNGZ\",37.7861,-122.3186,10,-8,\"U\",\"America/Los_Angeles\"\n", + "9072,\"Stein\",\"Stein\",\"Germany\",\"\",\\N,49.406324,11.003054,984,1,\"E\",\"Europe/Berlin\"\n", + "9073,\"Dippenricht Heliport\",\"Dippenricht\",\"Germany\",\"\",\\N,49.253972,11.363216,1400,1,\"E\",\"Europe/Berlin\"\n", + "9074,\"Lagoon Cove water aerodrome\",\"Lagoon Cove\",\"Canada\",\"\",\\N,50.6,-126.3167,0,-8,\"A\",\"America/Vancouver\"\n", + "9075,\"Endelage West\",\"Endelage\",\"Denmark\",\"\",\"EKEL\",55.75616,10.250716,0,1,\"E\",\"Europe/Copenhagen\"\n", + "9076,\"Flugplatz St. Johann in Tirol\",\"St. Johann in Tirol\",\"Austria\",\"\",\"LOIJ\",47.517222,12.435833,2198,1,\"E\",\"Europe/Vienna\"\n", + "9077,\"Echo Bay water aerodrome\",\"Echo Bay\",\"Canada\",\"\",\\N,50.45,-126.29,0,-8,\"A\",\"America/Vancouver\"\n", + "9078,\"Kingcome water aerodrome\",\"Kingcome\",\"Canada\",\"\",\\N,50.58,-128.11,0,-8,\"A\",\"America/Vancouver\"\n", + "9079,\"Thalmaessing Waizenhofen\",\"Thalmaessing\",\"Germany\",\"\",\"EDPW\",49.064444,11.208056,1893,1,\"E\",\"Europe/Berlin\"\n", + "9080,\"Tcentralny\",\"Taganrog\",\"Russia\",\"\",\"XRRC\",47.246,38.84,183,4,\"N\",\"Europe/Moscow\"\n", + "9081,\"Buffalo Exchange Street Station\",\"Buffalo\",\"United States\",\"\",\\N,42.8783,-78.8738,600,-5,\"A\",\"America/New_York\"\n", + "9082,\"Wilmington Amtrak Station\",\"Wilmington\",\"United States\",\"ZWI\",\\N,39.736667,-75.551667,0,-5,\"A\",\"America/New_York\"\n", + "9083,\"Vagaru Island\",\"Viceroy Resort\",\"Maldives\",\"\",\\N,6.089305,73.203857,5,5,\"N\",\"Indian/Maldives\"\n", + "9084,\"Fort McMurray - Mildred Lake Airport\",\"Fort McMurray\",\"Canada\",\"NML\",\\N,57.055599,-111.573997,1046,-7,\"A\",\"America/Edmonton\"\n", + "9085,\"Genoa Cruise Terminal\",\"Genova\",\"Italy\",\"\",\\N,44.40725,8.876301,0,1,\"E\",\"Europe/Rome\"\n", + "9086,\"Suzhou Industrial Park Railway Station\",\"Suzhou\",\"China\",\"\",\\N,31.344444,120.706667,7,8,\"N\",\"Asia/Chongqing\"\n", + "9087,\"Elkhart Municipal\",\"Elkhart\",\"United States\",\"EKI\",\\N,41.719444,-86.003333,778,-5,\"A\",\"America/New_York\"\n", + "9088,\"Cochrane\",\"Cochrane\",\"Canada\",\"YCN\",\"CYCN\",49.106667,-81.015278,852,-5,\"A\",\"America/Toronto\"\n", + "9089,\"Aeroporto Estadual Arthur Siqueira\",\"Braganca Paulista\",\"Brazil\",\"BJP\",\"SBBP\",-22.979167,-46.5375,3,-3,\"S\",\"America/Sao_Paulo\"\n", + "9090,\"Brusselton\",\"Brusselton\",\"Australia\",\"BQB\",\"YBLN\",-33.687222,115.400278,55,8,\"O\",\"Australia/Perth\"\n", + "9091,\"Srednekolymsk\",\"Srednekolymsk\",\"Russia\",\"\",\"UESK\",67.2748,153.4258,98,12,\"N\",\"Asia/Magadan\"\n", + "9092,\"Garowe - International\",\"Garowe\",\"Somalia\",\"GGR\",\\N,8.24,48.29,553,3,\"N\",\"Africa/Mogadishu\"\n", + "9093,\"Salt Lake City Intermodal Hub\",\"Salt Lake City\",\"United States\",\"\",\"SLCR\",40.762778,-111.908333,0,-7,\"A\",\"America/Denver\"\n", + "9094,\"Thorny Bush Game Lodge Airport\",\"Hoedspruit\",\"South Africa\",\"\",\\N,-24.414722,31.165001,1900,2,\"U\",\"Africa/Johannesburg\"\n", + "9095,\"Inverell\",\"Inverell\",\"Australia\",\"IVR\",\"YIVL\",-29.888333,151.144167,2667,10,\"O\",\"Australia/Sydney\"\n", + "9096,\"Glen Innes\",\"Glen Innes\",\"Australia\",\"GLI\",\"YGLI\",-29.675,151.69,3433,10,\"O\",\"Australia/Sydney\"\n", + "9097,\"Hangzhou Railway Station\",\"Hangzhou\",\"China\",\"\",\\N,30.246,120.1784,39,8,\"N\",\"Asia/Chongqing\"\n", + "9098,\"Sorrento Valley Station\",\"San Diego\",\"United States\",\"\",\\N,32.903,-117.225,150,-8,\"A\",\"America/Los_Angeles\"\n", + "9099,\"San Diego Union Station\",\"San Diego\",\"United States\",\"\",\\N,32.716944,-117.168611,50,-8,\"A\",\"America/Los_Angeles\"\n", + "9100,\"Petersdorf\",\"Ansbach\",\"Germany\",\"\",\"EDQF\",49.216,10.4026,1370,1,\"E\",\"Europe/Berlin\"\n", + "9101,\"Venice-Venezia Mestre\",\"Venice\",\"Italy\",\"\",\\N,45.48189,12.231923,0,1,\"E\",\"Europe/Rome\"\n", + "9102,\"Immokalee \",\"Immokalee \",\"United States\",\"IMM\",\"KIMM\",26.433889,-81.401389,37,-5,\"A\",\"America/New_York\"\n", + "9103,\"Maranggo\",\"Sulawesi Tenggara\",\"Indonesia\",\"\",\"WA44\",-5.76457,123.917,169,8,\"N\",\"Asia/Makassar\"\n", + "9104,\"Rancho San Simeon Airport\",\"Cambria\",\"United States\",\"\",\"66CA\",35.607748,-121.110192,320,-8,\"A\",\"America/Los_Angeles\"\n", + "9105,\"Port Canaveral\",\"Brevard County\",\"United States\",\"\",\\N,28.4113919,-80.6081066,0,-5,\"A\",\"America/New_York\"\n", + "9106,\"Cococay\",\"Ragged Island\",\"Bahamas\",\"\",\\N,22.148056,-75.693333,0,-5,\"A\",\"America/Nassau\"\n", + "9107,\"Yichun Mingyueshan Airport\",\"Yichun\",\"China\",\"YIC\",\"ZSYC\",27.8033,114.3081,131,8,\"U\",\"Asia/Chongqing\"\n", + "9108,\"Costa maya port\",\"Costa maya\",\"Mexico\",\"\",\\N,18.714,-87.709,0,-6,\"U\",\"America/Mexico_City\"\n", + "9109,\"Costa maya port\",\"Costa maya\",\"Mexico\",\"\",\\N,18.714,-87.709,0,-6,\"U\",\"America/Mexico_City\"\n", + "9110,\"Fajardo\",\"Fajardo\",\"Puerto Rico\",\"\",\\N,18.32,-65.65,0,-4,\"U\",\"America/Puerto_Rico\"\n", + "9111,\"Billings field\",\"Essex\",\"Canada\",\"\",\\N,42.199,-82.465,650,-5,\"U\",\"America/Toronto\"\n", + "9112,\"Hiberico Offshore Platform\",\"Cuidad del Carmen\",\"Mexico\",\"\",\\N,19.398611,-92.016111,0,-6,\"A\",\\N\n", + "9113,\"Alpha offshore platform\",\"Cork\",\"Ireland\",\"\",\\N,51.400377,-7.901464,0,0,\"E\",\\N\n", + "9114,\"Peterhof Helicopter Landing area\",\"Saint-Petersburg\",\"Russia\",\"\",\\N,59.890529,29.894609,0,4,\"U\",\"Europe/Moscow\"\n", + "9115,\"Gogland Helicopter Landing\",\"Gogland Island\",\"Russia\",\"\",\\N,60.011662,27.008236,0,4,\"U\",\\N\n", + "9116,\"New Carrollton Rail Station\",\"New Carrollton\",\"United States\",\"ZRZ\",\\N,38.948,-76.8719,39,-5,\"A\",\"America/New_York\"\n", + "9117,\"Ship Channel Cay\",\"Ship Channel Cay\",\"Bahamas\",\"\",\\N,24.819302,-76.824331,0,-5,\"A\",\"America/Nassau\"\n", + "9118,\"Walkersville Train Depot\",\"Walkersville\",\"United States\",\"\",\\N,39.48618333333334,-77.35475,308,-5,\"A\",\"America/New_York\"\n", + "9119,\"Seattle Pier 69 - Victoria Clipper\",\"Seattle\",\"United States\",\"\",\\N,47.613801,-122.354019,7,-8,\"A\",\"America/Los_Angeles\"\n", + "9120,\"Dinwiddie County Airport\",\"Petersburg\",\"United States\",\"PTB\",\"KPTB\",37.18375,-77.507388,193,-5,\"A\",\"America/New_York\"\n", + "9121,\"Mount Aso helipad\",\"Aso\",\"Japan\",\"\",\\N,32.884308,131.064638,1350,9,\"N\",\"Asia/Tokyo\"\n", + "9122,\"Mount Aso helipad\",\"Aso\",\"Japan\",\"\",\\N,32.884308,131.064638,1350,9,\"N\",\"Asia/Tokyo\"\n", + "9123,\"Kasongo Lunda\",\"Kasongo\",\"Congo (Kinshasa)\",\"KGN\",\"FZOK\",-6.583333,16.816668,0,1,\"U\",\"Africa/Kinshasa\"\n", + "9124,\"McMurdo Station Pegasus Field\",\"McMurdo Station\",\"Antarctica\",\"\",\"NZPG\",-77.963333,166.524444,18,12,\"Z\",\"Antarctica/South_Pole\"\n", + "9125,\"Klatovy\",\"Klatovy\",\"Czech Republic\",\"\",\"LKKT\",49.418327,13.321944,1299,1,\"E\",\"Europe/Prague\"\n", + "9126,\"Sheboygan County Memorial Airport\",\"Sheboygan\",\"United States\",\"SBM\",\"KSBM\",43.7696,-87.851402,755,-6,\"A\",\"America/Chicago\"\n", + "9127,\"Dave Forest Airport\",\"Cloudbreak\",\"Australia\",\"KFE\",\"YFDF\",-22.291945,119.437225,1555,8,\"N\",\"Australia/Perth\"\n", + "9128,\"Ephraim-Gibraltar Airport\",\"Ephraim\",\"United States\",\"3D2\",\\N,45.1354167,-87.1879444,773,-6,\"A\",\"America/Chicago\"\n", + "9129,\"Kangel Danda Airport\",\"Kangel Danda\",\"Nepal\",\"\",\"VNKL\",27.41667,86.64167,6880,5.75,\"N\",\"Asia/Katmandu\"\n", + "9130,\"Man Maya Airport\",\"Khanidanda\",\"Nepal\",\"\",\"VNKD\",27.19028,86.77167,4435,5.75,\"N\",\"Asia/Katmandu\"\n", + "9131,\"Talcha Airport\",\"Rara National Park\",\"Nepal\",\"\",\"VNT1\",29.43,81,0,5.75,\"N\",\"Asia/Katmandu\"\n", + "9132,\"Bajura Airport\",\"Bajura\",\"Nepal\",\"BJU\",\"VNBR\",29.50611,81.66944,4606,5.75,\"N\",\"Asia/Katmandu\"\n", + "9133,\"Walkersville Turnaround\",\"Frederick\",\"United States\",\"\",\\N,39.4449,-77.4012,302,-5,\"A\",\"America/New_York\"\n", + "9134,\"Airport Chara\",\"Chara\",\"Russia\",\"\",\"UIAR\",56.912765,118.271007,671,10,\"N\",\"Asia/Yakutsk\"\n", + "9135,\"Tho Xuan Airport\",\"Thanh Hoa\",\"Vietnam\",\"THD\",\\N,19.90167,105.46778,0,7,\"N\",\"Asia/Saigon\"\n", + "9136,\"Herning\",\"Herning\",\"Denmark\",\"\",\"EKHG\",56.197224,9.147222,136,1,\"E\",\"Europe/Copenhagen\"\n", + "9137,\"Sonderlandeplatz Schleissheim\",\"Schleissheim\",\"Germany\",\"\",\"EDNX\",48.239167,11.561389,1594,1,\"E\",\"Europe/Berlin\"\n", + "9138,\"Pinal Airpark\",\"Marana\",\"United States\",\"MZJ\",\"KMZJ\",32.509722,-111.325278,1893,-7,\"N\",\"America/Phoenix\"\n", + "9139,\"Glendale Municipal Airport\",\"Glendale\",\"United States\",\"GEU\",\"KGEU\",33.5269167,-112.2951389,1071,-7,\"N\",\"America/Phoenix\"\n", + "9140,\"Safford Regional Airport\",\"Safford\",\"United States\",\"SAD\",\"KSAD\",32.8533333,-109.6350833,3179,-7,\"N\",\"America/Phoenix\"\n", + "9141,\"Verden Scharnhorst\",\"Verden\",\"Germany\",\"\",\"EDWV\",52.965278,9.282778,144,1,\"E\",\"Europe/Berlin\"\n", + "9142,\"Mara North\",\"Masai Mara\",\"Kenya\",\"\",\\N,-1.142636,35.139856,5468,3,\"N\",\"Africa/Nairobi\"\n", + "9143,\"Fort Lauderdale-Hollywood International Airport Station at Dania Beach\",\"Dania Beach\",\"United States\",\"\",\\N,26.061933,-80.16565,9,-5,\"A\",\"America/New_York\"\n", + "9144,\"Deerfield Beach Station\",\"Deerfield Beach\",\"United States\",\"\",\\N,26.316944,-80.122222,13,-5,\"A\",\"America/New_York\"\n", + "9145,\"Lecheo\",\"Korinthos\",\"Greece\",\"\",\\N,37.92592,22.860228,60,2,\"E\",\"Europe/Athens\"\n", + "9146,\"Solomon Airport\",\"Solomon\",\"Australia\",\"SLJ\",\"YSOL\",-22.255,117.85,2008,8,\"N\",\"Australia/Perth\"\n", + "9147,\"Bruck-Nittenau\",\"Nittenau\",\"Germany\",\"\",\"EDNM\",49.2225,12.2967,1161,1,\"E\",\"Europe/Berlin\"\n", + "9148,\"Kerama Airport\",\"Kerama\",\"Japan\",\"KJP\",\"ROKR\",26.168333,127.293333,156,9,\"N\",\"Asia/Tokyo\"\n", + "9149,\"Americana\",\"Americana\",\"Brazil\",\"\",\"SDAI\",-22.7558,-47.269402,2085,-3,\"S\",\"America/Sao_Paulo\"\n", + "9150,\"Brussels Gare Centrale\",\"Brussels\",\"Belgium\",\"\",\\N,50.84548,4.357174,43,1,\"E\",\"Europe/Brussels\"\n", + "9151,\"Comino Airport\",\"Comino\",\"Malta\",\"JCO\",\\N,36.016,14.333,201,1,\"E\",\"Europe/Malta\"\n", + "9152,\"Udine stazione\",\"Udine\",\"Italy\",\"\",\\N,46.04,13.14,1,1,\"E\",\"Europe/Rome\"\n", + "9153,\"Bratislava Hlavna Stanica\",\"Bratislava\",\"Slovakia\",\"\",\\N,48.08,17.06,1,1,\"E\",\"Europe/Vienna\"\n", + "9154,\"Depati Parbo Airport\",\"Sungai Penuh\",\"Indonesia\",\"\",\\N,1.881071,101.442261,2000,7,\"U\",\"Asia/Jakarta\"\n", + "9155,\"Kolosovka\",\"Kolosovka\",\"Russia\",\"\",\\N,56.2752,73.3641,100,7,\"U\",\"Asia/Omsk\"\n", + "9156,\"Ekibastuz airport\",\"Ekibastuz\",\"Kazakhstan\",\"\",\"UASB\",51.5723,75.2613,776,6,\"N\",\"Asia/Qyzylorda\"\n", + "9157,\"Znamenka airport\",\"Znamenskoe\",\"Russia\",\"\",\\N,57.1523,73.7512,432,7,\"E\",\"Asia/Omsk\"\n", + "9158,\"Tevriz airport\",\"Tevriz\",\"Russia\",\"\",\\N,57.5243,72.4653,456,7,\"U\",\"Asia/Omsk\"\n", + "9159,\"Besobe airport\",\"Bestobe\",\"Kazakhstan\",\"\",\\N,52.4986,73.1434,645,6,\"N\",\"Asia/Qyzylorda\"\n", + "9160,\"Stepnogorsk airport\",\"Stepnogorsk\",\"Kazakhstan\",\"\",\\N,52.3575,71.7865,432,6,\"N\",\"Asia/Qyzylorda\"\n", + "9161,\"Bekdash airport\",\"Karabogaz\",\"Turkmenistan\",\"\",\\N,41.5397,52.5711,12,5,\"U\",\"Asia/Ashgabat\"\n", + "9162,\"Adamovka\",\"Adamovka\",\"Russia\",\"\",\"UWOD\",51.4929,59.92752,931,6,\"N\",\"Asia/Yekaterinburg\"\n", + "9163,\"Kvarkeno\",\"Kvarkeno\",\"Russia\",\"\",\"UWOH\",52.078333,59.683333,305,6,\"U\",\"Asia/Yekaterinburg\"\n", + "9164,\"Sikeston Memorial Municipal\",\"Sikeston\",\"United States\",\"SIK\",\"KSIK\",36.8988889,-89.56175,315,-6,\"A\",\"America/Chicago\"\n", + "9165,\"Nynashamn Ferry Port\",\"Nynashamn\",\"Sweden\",\"NYN\",\\N,58.9,17.95,0,1,\"E\",\"Europe/Stockholm\"\n", + "9166,\"Rodby Port\",\"Rodby\",\"Denmark\",\"ROD\",\\N,54.65,11.35,0,1,\"E\",\"Europe/Copenhagen\"\n", + "9167,\"Puttgarden\",\"Puttgarden\",\"Germany\",\"QUA\",\\N,54.5,11.2167,0,1,\"E\",\"Europe/Berlin\"\n", + "9168,\"Sonevafushi\",\"Sonevafushi\",\"Maldives\",\"\",\\N,5.112336,73.07805,0,5,\"U\",\"Indian/Maldives\"\n", + "9169,\"Royal Island Resort\",\"Royal Island Resort\",\"Maldives\",\"\",\\N,5.162911,73.053578,0,5,\"U\",\"Indian/Maldives\"\n", + "9170,\"Royal Island Resort\",\"Royal Island Resort\",\"Maldives\",\"\",\\N,5.162911,73.053578,0,5,\"U\",\"Indian/Maldives\"\n", + "9171,\"Port of Belfast\",\"Belfast\",\"United Kingdom\",\"BE2\",\\N,54.6178,-5.9017,0,0,\"E\",\"Europe/London\"\n", + "9172,\"Stranraer Ferry Port\",\"Stranraer\",\"United Kingdom\",\"SR2\",\\N,54.902,-5.027,0,0,\"E\",\"Europe/London\"\n", + "9173,\"Oceano County Airport\",\"Oceano\",\"United States\",\"L52\",\"KL52\",35.10147222,-120.62236111,14,-8,\"U\",\"America/Los_Angeles\"\n", + "9174,\"Eupen - Rail\",\"Eupen\",\"Belgium\",\"\",\\N,50.3743,6.0201,1000,1,\"E\",\"Europe/Brussels\"\n", + "9175,\"Tetiaroa Airport\",\"Tetiaroa\",\"French Polynesia\",\"TTI\",\"NTTE\",-17.0132999,-149.5870056,0,-10,\"N\",\"Pacific/Tahiti\"\n", + "9176,\"Osnabrueck Hbf\",\"Osnabrueck\",\"Germany\",\"\",\\N,52.272778,8.061111,207,1,\"E\",\"Europe/Berlin\"\n", + "9177,\"Hannover Hbf\",\"Hannover\",\"Germany\",\"\",\\N,52.366667,9.716667,180,1,\"E\",\"Europe/Berlin\"\n", + "9178,\"Floyd Bennett Memorial Airport\",\"Queensbury\",\"United States\",\"GFL\",\"KGFL\",43.341222,-73.610305,328,-5,\"A\",\"America/New_York\"\n", + "9179,\"Saratoga County Airport\",\"Ballston Spa\",\"United States\",\"5B2\",\"K5B2\",43.050722,-73.861638,433,-5,\"A\",\"America/New_York\"\n", + "9180,\"Burrello-Mechanicville Airport\",\"Mechanicville\",\"United States\",\"K27\",\\N,42.893133,-73.66845,195,-5,\"A\",\"America/New_York\"\n", + "9181,\"Tampa Padang\",\"Mamuju\",\"Indonesia\",\"MJU\",\"WAWJ\",-2.583333,119.033333,2,8,\"N\",\"Asia/Makassar\"\n", + "9182,\"Crystal River\",\"Crystal River\",\"United States\",\"CGC\",\"KCGC\",28.8676111,-82.5741111,9,-5,\"A\",\"America/New_York\"\n", + "9183,\"Martin State\",\"Baltimore\",\"United States\",\"MTN\",\"KMTN\",39.3256667,-76.4137778,22,-5,\"A\",\"America/New_York\"\n", + "9184,\"Lincoln Regional Airport Karl Harder Field\",\"Lincoln\",\"United States\",\"LHM\",\"KLHM\",38.9091667,-121.3513333,121,-8,\"A\",\"America/Los_Angeles\"\n", + "9185,\"Fostoria Metropolitan Airport\",\"Fostoria\",\"United States\",\"FZI\",\"KFZI\",41.1908333,-83.3930833,752,-5,\"A\",\"America/New_York\"\n", + "9186,\"Eastern Slopes Regional\",\"Fryeburg\",\"United States\",\"IZG\",\"KIZG\",43.9911389,-70.9478889,455,-5,\"A\",\"America/New_York\"\n", + "9187,\"Coral Creek\",\"Placida\",\"United States\",\"\",\"FA54\",26.8537417,-82.2526028,8,-5,\"A\",\"America/New_York\"\n", + "9188,\"Lakefront\",\"New Orleans\",\"United States\",\"NEW\",\"KNEW\",30.0424167,-90.02825,7,-6,\"A\",\"America/Chicago\"\n", + "9189,\"Pappy Boyington\",\"Coeur d'Alene\",\"United States\",\"COE\",\"KCOE\",47.7743056,-116.8195833,2320,-8,\"A\",\"America/Los_Angeles\"\n", + "9190,\"Beaumont Municipal\",\"Beaumont\",\"United States\",\"BMT\",\"KBMT\",30.0702044,-94.2150967,32,-6,\"A\",\"America/Chicago\"\n", + "9191,\"Vermilion Regional\",\"Danville\",\"United States\",\"DNV\",\"KDNV\",40.1996944,-87.5955278,696,-6,\"A\",\"America/Chicago\"\n", + "9192,\"Varberg Railway Station\",\"Varberg\",\"Sweden\",\"\",\\N,57.107118,12.2520907,0,1,\"E\",\"Europe/Stockholm\"\n", + "9193,\"Coonabarabran\",\"Coonabarabran\",\"Australia\",\"COJ\",\"YCBB\",-31.337221,149.27194,2117,10,\"O\",\"Australia/Sydney\"\n", + "9194,\"Toronto Union Station\",\"Toronto\",\"Canada\",\"\",\\N,43.645278,-79.380556,249,-5,\"A\",\"America/Toronto\"\n", + "9195,\"Windsor Station\",\"Windsor\",\"Canada\",\"\",\\N,42.3254,-83.0092,623,-5,\"A\",\"America/Toronto\"\n", + "9196,\"Dearborn Amtrak Station\",\"Dearborn\",\"United States\",\"\",\\N,42.312222,-83.198611,591,-5,\"A\",\"America/New_York\"\n", + "9197,\"Merritt Island Airport\",\"Cocoa\",\"United States\",\"COI\",\\N,28.3416111,-80.6854722,6,-5,\"A\",\"America/New_York\"\n", + "9198,\"Valkaria Municipal\",\"Valkaria\",\"United States\",\"X59\",\\N,27.9608611,-80.5583333,26,-5,\"A\",\"America/New_York\"\n", + "9199,\"Space Coast Reg'l Airport\",\"Titusville\",\"United States\",\"TIX\",\\N,28.5148,-80.7992278,34,-5,\"A\",\"America/New_York\"\n", + "9200,\"Sebastian Municipal\",\"Sebastian\",\"United States\",\"X26\",\\N,27.81325,-80.4955833,21,-5,\"A\",\"America/New_York\"\n", + "9201,\"Terrace Bay\",\"Terrace Bay\",\"Namibia\",\"TCY\",\\N,-19.9705556,13.0244444,0,1,\"N\",\"Africa/Windhoek\"\n", + "9202,\"Nxabega Airstrip\",\"Nxabega\",\"Botswana\",\"\",\"FB57\",-19.5147,22.77665,3100,2,\"U\",\"Africa/Gaborone\"\n", + "9203,\"Kelani River-Peliyagoda Waterdrome\",\"Colombo\",\"Sri Lanka\",\"KEZ\",\\N,6.967463700288899,79.88197231301456,28,5.5,\"N\",\"Asia/Colombo\"\n", + "9204,\"Polgolla Reservoir\",\"Kandy\",\"Sri Lanka\",\"KDZ\",\\N,7.325125009685146,80.64211571225314,1472,5.5,\"N\",\"Asia/Colombo\"\n", + "9205,\"Bumi\",\"Bumi Hills\",\"Zimbabwe\",\"\",\"FVBM\",-16.81685727384918,28.348887920401467,1633,2,\"N\",\"Africa/Harare\"\n", + "9206,\"Priv\",\"Lagos\",\"Portugal\",\"\",\\N,37.096744,-8.663535,0,0,\"E\",\"Europe/Lisbon\"\n", + "9207,\"Warnervale Airport\",\"Warnervale Airport\",\"Australia\",\"\",\"YWVA\",-33.240833,151.427778,25,10,\"U\",\"Australia/Sydney\"\n", + "9208,\"Boat\",\"Hati\",\"Haiti\",\"\",\\N,19.15,-73,0,-5,\"N\",\"America/Port-au-Prince\"\n", + "9209,\"Boat\",\"Hati\",\"Haiti\",\"\",\\N,19.1,-73,0,-5,\"N\",\"America/Port-au-Prince\"\n", + "9210,\"Cartitas\",\"Hati\",\"Haiti\",\"\",\\N,18.55,-72.3,50,-5,\"N\",\"America/Port-au-Prince\"\n", + "9211,\"Boat\",\"Hati\",\"Haiti\",\"\",\\N,19,-73,0,-5,\"N\",\"America/Port-au-Prince\"\n", + "9212,\"Hospital\",\"Port Au Prince\",\"Haiti\",\"\",\\N,18.5501,-72.3001,50,-5,\"N\",\"America/Port-au-Prince\"\n", + "9213,\"Clinic\",\"Saint Marc\",\"Haiti\",\"\",\\N,19.1001,-72.7001,30,-5,\"N\",\"America/Port-au-Prince\"\n", + "9214,\"Village\",\"Dodard\",\"Haiti\",\"\",\\N,19.0661,-72.3001,2639,-5,\"N\",\"America/Port-au-Prince\"\n", + "9215,\"Bouarfa International\",\"Bouarfa\",\"Morocco\",\"\",\"GMFB\",32.518889,-1.9775,3564,0,\"N\",\"Africa/Casablanca\"\n", + "9216,\"Beijing West Railway Station\",\"Beijing\",\"China\",\"\",\\N,39.8955463,116.3201722,167,8,\"N\",\"Asia/Chongqing\"\n", + "9217,\"Hung Hom Railway Station\",\"Hong Kong\",\"Hong Kong\",\"\",\\N,22.303067,114.18152699999996,39,8,\"N\",\"Asia/Hong_Kong\"\n", + "9218,\"NYERI\",\"NYERI\",\"Kenya\",\"NYE\",\"HKNI\",-0.34,36.91,5830,3,\"U\",\"Africa/Nairobi\"\n", + "9219,\"Angaga Seaplane Dock\",\"Alifu Dhaalu Atoll\",\"Maldives\",\"\",\\N,3.652859,72.824086,2,5,\"N\",\"Indian/Maldives\"\n", + "9220,\"Madoogali Seaplane Dock\",\"Alifu Atoll\",\"Maldives\",\"\",\\N,4.0956,72.753439,2,5,\"N\",\"Indian/Maldives\"\n", + "9221,\"Effingham Memorial Airport\",\"Effingham\",\"United States\",\"1H2\",\"KEFH\",39.07,-88.534,585,-6,\"A\",\"America/Chicago\"\n", + "9222,\"Stoke\",\"Stoke-on-Trent\",\"United Kingdom\",\"\",\\N,53,2.18333,500,0,\"E\",\\N\n", + "9223,\"Tobermory Dock\",\"Tobermory\",\"Canada\",\"\",\\N,45.2578121,-81.6637838,1335,-5,\"A\",\"America/Toronto\"\n", + "9224,\"South Baymouth Docks\",\"South Baymouth\",\"Canada\",\"\",\\N,45.5564479,-82.0071535,1335,-5,\"A\",\"America/Toronto\"\n", + "9225,\"Andrau Airport\",\"Houston\",\"United States\",\"AAP\",\"KAAP\",29.43,-95.35,80,-6,\"A\",\"America/Chicago\"\n", + "9226,\"Flying Cloud Airport\",\"Eden Prairie\",\"United States\",\"FCM\",\"KFCM\",44.4938,-93.2726,906,-6,\"A\",\"America/Chicago\"\n", + "9227,\"Likoma Island Airport\",\"Likoma Island\",\"Malawi\",\"LIX\",\"FWLK\",-12.083,34.733001,1600,2,\"N\",\"Africa/Blantyre\"\n", + "9228,\"Johnson County Airport\",\"Olathe\",\"United States\",\"OJC\",\"KOJC\",38.5051,-94.4415,1096,-6,\"A\",\"America/Chicago\"\n", + "9229,\"Sigiriya Airport\",\"Sigiriya\",\"Sri Lanka\",\"GIU\",\"VCCS\",7.57212,80.43412,630,5.5,\"N\",\"Asia/Colombo\"\n", + "9230,\"Westbahnhoff\",\"Vienna\",\"Austria\",\"XWW\",\\N,48.196667,16.337778,600,1,\"E\",\"Europe/Vienna\"\n", + "9231,\"York Mills GO Bus Terminal\",\"York Mills\",\"Canada\",\"\",\\N,43.745,-79.406389,449,-5,\"A\",\"America/Toronto\"\n", + "9232,\"Neumuenster\",\"Neumuenster\",\"Germany\",\"EUM\",\"EDHN\",54.079069,9.941719,69,1,\"E\",\"Europe/Berlin\"\n", + "9233,\"Tak\",\"Tak\",\"Thailand\",\"TKT\",\"VTPT\",16.89611,99.25361,478,7,\"N\",\"Asia/Bangkok\"\n", + "9234,\"Marshall Aiport\",\"Marshall\",\"United States\",\"\",\\N,44.4469,95.7883,354,8,\"A\",\"Asia/Ulaanbaatar\"\n", + "9235,\"Meedhuffushi Seaplane dock\",\"Meedhuffushi Island\",\"Maldives\",\"\",\\N,3.003899,73.000696,0,5,\"U\",\"Indian/Maldives\"\n", + "9236,\"Lake Simcoe\",\"Barrie-Orillia\",\"Canada\",\"YLS\",\"CYLS\",44.487778,-79.559444,972,-5,\"A\",\"America/Toronto\"\n", + "9237,\"Huronia\",\"Midland\",\"Canada\",\"YEE\",\"CYEE\",44.684722,-79.929167,773,-5,\"A\",\"America/Toronto\"\n", + "9238,\"Markham\",\"Markham\",\"Canada\",\"NU8\",\"CNU8\",43.935278,-79.263333,807,-5,\"A\",\"America/Toronto\"\n", + "9239,\"Stanhope\",\"Haliburton\",\"Canada\",\"ND4\",\"CND4\",45.110833,-78.64,1066,-5,\"A\",\"America/Toronto\"\n", + "9240,\"Lindsay\",\"Lindsay\",\"Canada\",\"NF4\",\"CNF4\",44.364722,-78.783889,895,-5,\"A\",\"America/Toronto\"\n", + "9241,\"Niagara District\",\"Saint Catherines\",\"Canada\",\"YCM\",\"CYSN\",43.191667,-79.171111,321,-5,\"A\",\"America/Toronto\"\n", + "9242,\"Apopka\",\"Orlando\",\"United States\",\"X04\",\\N,28.707222,-81.581667,143,-5,\"A\",\"America/New_York\"\n", + "9243,\"Edenvale\",\"Edenvale\",\"Canada\",\"\",\"CNV8\",44.438889,-79.965278,718,-5,\"A\",\"America/Toronto\"\n", + "9244,\"Orillia\",\"Orillia\",\"Canada\",\"\",\"CNJ4\",44.683333,-79.316667,725,-5,\"A\",\"America/Toronto\"\n", + "9245,\"Holland Landing\",\"Holland Landing\",\"Canada\",\"\",\"CLA4\",44.089444,-79.495,855,-5,\"A\",\"America/Toronto\"\n", + "9246,\"Kent\",\"Chatham\",\"Canada\",\"XCM\",\"CNZ3\",42.306111,-82.081667,645,-5,\"A\",\"America/Toronto\"\n", + "9247,\"Parry Sound\",\"Parry Sound\",\"Canada\",\"YPD\",\"CNK4\",45.253889,-79.827778,830,-5,\"A\",\"America/Toronto\"\n", + "9248,\"Saugeen\",\"Hanover\",\"Canada\",\"\",\"CYHS\",44.158056,-81.063333,940,-5,\"A\",\"America/Toronto\"\n", + "9249,\"Brandywine Airport\",\"West Goshen Township\",\"United States\",\"OQN\",\"KOQN\",39.5924,-75.3455,466,-5,\"A\",\"America/New_York\"\n", + "9250,\"Batoka\",\"Livingston\",\"Zambia\",\"\",\\N,-17.53,25.5,3235,2,\"U\",\"Africa/Lusaka\"\n", + "9251,\"Manassas\",\"Manassas\",\"United States\",\"MNZ\",\"KHEF\",38.721389,-77.515556,192,-5,\"A\",\"America/New_York\"\n", + "9252,\"Texas Gulf Coast Regional\",\"Angleton\",\"United States\",\"\",\"KLBX\",29.1086389,-95.4620833,25,-6,\"A\",\"America/Chicago\"\n", + "9253,\"Bubovice\",\"Bubovice\",\"Czech Republic\",\"\",\"LKBU\",49.974422,14.180801,1385,1,\"E\",\"Europe/Prague\"\n", + "9254,\"Shenzhen Railway Station\",\"Shenzhen\",\"China\",\"\",\\N,22.5344,114.1121,67,8,\"N\",\"Asia/Chongqing\"\n", + "9255,\"Rakkestad Flyplass\",\"Rakkestad\",\"Norway\",\"\",\"ENRK\",59.3975,11.3469,381,1,\"E\",\"Europe/Oslo\"\n", + "9256,\"Johnstown Amtrak\",\"Johnstown\",\"United States\",\"\",\\N,40.3297222,-78.9222222,1142,-5,\"A\",\"America/New_York\"\n", + "9257,\"Harvey Field S43\",\"Snohomish WA\",\"United States\",\"\",\\N,47.904451,-122.102529,22,-8,\"A\",\"America/Los_Angeles\"\n", + "9258,\"Urgup\",\"Urgup\",\"Turkey\",\"\",\\N,38.606239,34.860276,4000,2,\"E\",\"Europe/Istanbul\"\n", + "9259,\"Dolo Ado\",\"Dolo Ado\",\"Ethiopia\",\"\",\\N,4.175858,42.034083,630,3,\"U\",\"Africa/Addis_Ababa\"\n", + "9260,\"AYaou\",\"Yaou\",\"French Guiana\",\"\",\\N,3.724286,-53.974698,0,-3,\"N\",\"America/Cayenne\"\n", + "9261,\"Camop\",\"Camopi\",\"French Guiana\",\"\",\\N,3.17004,-52.337801,0,-3,\"N\",\"America/Cayenne\"\n", + "9262,\"CApat\",\"Croisee d Apatou\",\"French Guiana\",\"\",\\N,5.04305,-54.0425,0,-3,\"N\",\"America/Cayenne\"\n", + "9263,\"Citro\",\"Citron\",\"French Guiana\",\"\",\\N,4.730072,-53.95158,0,-3,\"N\",\"America/Cayenne\"\n", + "9264,\"DieuM\",\"Dieu Merci\",\"French Guiana\",\"\",\\N,4.782964,-53.260539,0,-3,\"N\",\"America/Cayenne\"\n", + "9265,\"Dorli\",\"Dorlin\",\"French Guiana\",\"\",\\N,3.7353,-53.5287,0,-3,\"N\",\"America/Cayenne\"\n", + "9266,\"Elyse\",\"Elysee\",\"French Guiana\",\"\",\\N,4.75,-54.05,0,-3,\"N\",\"America/Cayenne\"\n", + "9267,\"Herap\",\"Morsbach\",\"France\",\"\",\\N,49.160592,6.864892,0,1,\"E\",\"Europe/Paris\"\n", + "9268,\"OSMSE\",\"Saint Elie\",\"French Guiana\",\"\",\\N,4.81444,-53.28833,0,-3,\"N\",\"America/Cayenne\"\n", + "9269,\"Prevo\",\"Remire\",\"French Guiana\",\"\",\\N,4.89333,-52.29222,0,-3,\"N\",\"America/Cayenne\"\n", + "9270,\"Sisli Belediyesi Evlendirme Dairesi Heliport\",\"Istanbul\",\"Turkey\",\"\",\\N,41.0410805,28.9923138,100,2,\"E\",\"Europe/Istanbul\"\n", + "9271,\"Kadikoy Ispark Heliport\",\"Istanbul\",\"Turkey\",\"\",\\N,40.989305,29.018833,100,2,\"E\",\"Europe/Istanbul\"\n", + "9272,\"Bingol\",\"Bingol\",\"Turkey\",\"BGG\",\"LTCU\",38.86111,40.5925,3490,2,\"E\",\"Europe/Istanbul\"\n", + "9273,\"Uzunyazi\",\"Kastamonu\",\"Turkey\",\"KFS\",\"LTAL\",41.316944,33.796111,3520,2,\"E\",\"Europe/Istanbul\"\n", + "9274,\"Okawango Lodge\",\"Okawango\",\"Botswana\",\"\",\\N,-19.25,23.09,3100,2,\"N\",\"Africa/Gaborone\"\n", + "9275,\"Kai Tak\",\"Hong Kong\",\"Hong Kong\",\"\",\"HKGX\",22.317883,114.202108,50,8,\"U\",\"Asia/Hong_Kong\"\n", + "9276,\"Elstree\",\"Elstree\",\"United Kingdom\",\"\",\"EGTR\",51.4807,-0.00093,250,0,\"E\",\"Europe/London\"\n", + "9277,\"Sandtoft Airfield\",\"Sandtoft\",\"United Kingdom\",\"\",\"EGCF\",53.559444,-0.858332,11,0,\"E\",\"Europe/London\"\n", + "9278,\"Bourne Park\",\"Hurtsbourne Tarrant\",\"United Kingdom\",\"\",\\N,51.264449,-1.461975,550,0,\"E\",\"Europe/London\"\n", + "9279,\"Hite Airport\",\"Hanksville\",\"United States\",\"UT3\",\\N,37.8916547,-110.3840289,3840,-7,\"A\",\"America/Denver\"\n", + "9280,\"Dieppe Ferry Port\",\"Dieppe\",\"France\",\"\",\\N,49.933616,1.088039,0,1,\"E\",\"Europe/Paris\"\n", + "9281,\"Newhaven Ferry Port\",\"Newhaven\",\"United Kingdom\",\"\",\\N,50.790385,0.054551,0,0,\"E\",\"Europe/London\"\n", + "9282,\"Ollantaytambo Train Station\",\"Ollantaytambo\",\"Peru\",\"\",\\N,-13.263155,-72.270291,9160,-5,\"N\",\"America/Lima\"\n", + "9283,\"Aguas Calientes Train Station\",\"Aguas Calientes\",\"Peru\",\"\",\\N,-13.1556,-72.5238,6693,-5,\"N\",\"America/Lima\"\n", + "9284,\"Poroy Train Station\",\"Cusco\",\"Peru\",\"\",\\N,-13.4944,-72.0421,11710,-5,\"N\",\"America/Lima\"\n", + "9285,\"Aberdeen Harbour\",\"Aberdeen\",\"United Kingdom\",\"\",\\N,57.13967,-2.07467,0,0,\"E\",\"Europe/London\"\n", + "9286,\"Lerwick Harbour\",\"Lerwick\",\"United Kingdom\",\"\",\\N,60.15,-1.13333,0,0,\"E\",\"Europe/London\"\n", + "9287,\"Torshavn Harbour\",\"Torshavn\",\"Faroe Islands\",\"\",\\N,62.0057,-6.7717,0,0,\"E\",\"Atlantic/Faeroe\"\n", + "9288,\"Seydisfjordur\",\"Seydisfjordur\",\"Iceland\",\"\",\\N,65.26016,-14.00905,0,0,\"E\",\"Atlantic/Reykjavik\"\n", + "9289,\"Queen Street Station\",\"Glasgow\",\"United Kingdom\",\"GLQ\",\\N,55.8622,-4.2512,50,0,\"E\",\"Europe/London\"\n", + "9290,\"Torit\",\"Torit\",\"South Sudan\",\"\",\"HSTR\",4.411111,32.578889,2018,3,\"N\",\"Africa/Juba\"\n", + "9291,\"Falmouth Port\",\"Falmouth\",\"Jamaica\",\"\",\\N,18.492762,-77.649675,0,-5,\"N\",\"America/Jamaica\"\n", + "9292,\"Cozumel Port\",\"Cozumel\",\"Mexico\",\"\",\\N,20.510439,-86.94925,0,-6,\"A\",\"America/Mexico_City\"\n", + "9293,\"Philipsburg Port\",\"Philipsburg\",\"Netherlands Antilles\",\"\",\\N,18.012868,-63.045242,0,-4,\"N\",\"America/Curacao\"\n", + "9294,\"Basseterre Port\",\"Basseterre\",\"Saint Kitts and Nevis\",\"\",\\N,17.290464,-62.709473,0,-4,\"N\",\"America/St_Kitts\"\n", + "9295,\"Charlotte Amalie Port\",\"Charlotte Amalie\",\"Virgin Islands\",\"\",\\N,18.335431,-64.926824,0,-4,\"N\",\"America/St_Thomas\"\n", + "9296,\"San Juan Port\",\"San Juan\",\"Puerto Rico\",\"\",\\N,18.458992,-66.097693,0,-4,\"N\",\"America/Puerto_Rico\"\n", + "9297,\"Santa Barbara Train Station\",\"Santa Barbara\",\"United States\",\"\",\\N,34.413611,-119.691667,8,-8,\"A\",\"America/Los_Angeles\"\n", + "9298,\"Eugene Amtrak Station\",\"Eugene\",\"United States\",\"\",\\N,44.055062,-123.092372,426,-8,\"A\",\"America/Los_Angeles\"\n", + "9299,\"Lincolnville GO Station\",\"Lincolnville\",\"Canada\",\"\",\\N,43.995278,-79.233333,873,-5,\"A\",\"America/Toronto\"\n", + "9300,\"Mormugao-Goa Port\",\"Mormugao\",\"India\",\"\",\\N,15.4,73.8,0,5.5,\"N\",\"Asia/Calcutta\"\n", + "9301,\"Cochin Port\",\"Cochin\",\"India\",\"\",\\N,9.58,76.14,0,5.5,\"N\",\"Asia/Calcutta\"\n", + "9302,\"Penang Cruise Terminal\",\"Penang\",\"Malaysia\",\"\",\\N,5.418828,100.345804,0,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "9303,\"Port Klang-Kuala Lumpur Cruise Terminal\",\"Port Klang\",\"Malaysia\",\"\",\\N,2.984629,101.336839,0,8,\"N\",\"Asia/Kuala_Lumpur\"\n", + "9304,\"Singapore Cruise Terminal\",\"Singapore\",\"Singapore\",\"\",\\N,1.264185,103.819821,0,8,\"N\",\"Asia/Singapore\"\n", + "9305,\"Shelby County Airport\",\"Shelbyville\",\"United States\",\"2H0\",\"K2H0\",39.410556,-88.845556,550,-6,\"A\",\"America/Chicago\"\n", + "9306,\"Illinois Terminal\",\"Champaign\",\"United States\",\"\",\\N,40.1155,-88.2411,732,-6,\"A\",\"America/Chicago\"\n", + "9307,\"Mattoon Amtrak\",\"Mattoon\",\"United States\",\"\",\\N,39.4828,-88.3759,733,-6,\"A\",\"America/Chicago\"\n", + "9308,\"Dawu\",\"Lvliang\",\"China\",\"LLV\",\\N,37.683333,111.142778,3020,8,\"N\",\"Asia/Chongqing\"\n", + "9309,\"Delft Central\",\"Delft\",\"Netherlands\",\"\",\\N,52.006667,4.356667,0,1,\"E\",\"Europe/Amsterdam\"\n", + "9310,\"Yading Daocheng\",\"Daocheng\",\"China\",\"DCY\",\"ZUDC\",29.3231,100.0533,14472,8,\"N\",\"Asia/Chongqing\"\n", + "9311,\"Gannan\",\"Xiahe city\",\"China\",\"GXH\",\"ZLXH\",34.4909,102.3719,10466,8,\"N\",\"Asia/Chongqing\"\n", + "9312,\"Komandoo\",\"Komandoo\",\"Maldives\",\"\",\\N,5.494003,73.424183,0,5,\"N\",\"Indian/Maldives\"\n", + "9313,\"Komandoo\",\"Komandoo\",\"Maldives\",\"\",\\N,5.494003,73.424183,0,5,\"N\",\"Indian/Maldives\"\n", + "9314,\"Meck Island Airstrip\",\"Meck Island\",\"Marshall Islands\",\"\",\\N,9,167.726944,10,12,\"Z\",\"Pacific/Majuro\"\n", + "9315,\"Sormovo\",\"Nizhny Novgorod\",\"Russia\",\"\",\"XUDS\",56.1906,43.4742,210,4,\"N\",\"Europe/Moscow\"\n", + "9316,\"Grand Canyon West Airport\",\"Peach Springs\",\"United States\",\"1G4\",\\N,35.899904,-113.815674,4813,-7,\"A\",\"America/Phoenix\"\n", + "9317,\"Vangso\",\"Vangso\",\"Sweden\",\"\",\"ESSZ\",59.13333,17.25,10,1,\"E\",\"Europe/Stockholm\"\n", + "9318,\"Yaroslavsky Station\",\"Moscow\",\"Russia\",\"\",\\N,55.776,37.658,400,4,\"N\",\"Europe/Moscow\"\n", + "9319,\"Railway Station\",\"Perm\",\"Russia\",\"\",\\N,58.0203,56.2525,558,6,\"N\",\"Asia/Yekaterinburg\"\n", + "9320,\"Railway Station\",\"Novosibirsk\",\"Russia\",\"\",\\N,55.0188,82.9339,531,7,\"N\",\"Asia/Omsk\"\n", + "9321,\"Railway Station\",\"Ulan Bator\",\"Mongolia\",\"\",\\N,47.92,106.92,4300,8,\"N\",\"Asia/Ulaanbaatar\"\n", + "9322,\"Main Station\",\"Beijing\",\"China\",\"\",\\N,39.9,116.421,130,8,\"N\",\"Asia/Chongqing\"\n", + "9323,\"Railway Station\",\"Irkutsk\",\"Russia\",\"\",\\N,52.3122,104.2958,1305,9,\"N\",\"Asia/Irkutsk\"\n", + "9324,\"Kuredu \",\"Kuredu\",\"Maldives\",\"\",\\N,5.3244,73.3756,10,5,\"U\",\"Indian/Maldives\"\n", + "9325,\"Heliport NUS\",\"Umea\",\"Sweden\",\"\",\\N,63.817,20.2981,100,1,\"E\",\"Europe/Stockholm\"\n", + "9326,\"Heliport SU\",\"Sundsvall\",\"Sweden\",\"\",\\N,62.4077,17.3024,10,1,\"E\",\"Europe/Stockholm\"\n", + "9327,\"Comiso\",\"Comiso\",\"Italy\",\"CIY\",\"LICB\",37,14.6144,756,1,\"E\",\"Europe/Rome\"\n", + "9328,\"Leroo La Tau\",\"Leroo La Tau\",\"Botswana\",\"\",\\N,-20.422617,24.517433,1000,2,\"U\",\"Africa/Gaborone\"\n", + "9329,\"Xaxanaka\",\"Xaxanaka\",\"Botswana\",\"\",\\N,-19.198083,23.431383,1000,2,\"U\",\"Africa/Gaborone\"\n", + "9330,\"Xugana\",\"Xugana\",\"Botswana\",\"\",\\N,-19.068,23.10015,1000,2,\"U\",\"Africa/Gaborone\"\n", + "9331,\"Nxamaseri\",\"Nxamaseri\",\"Botswana\",\"\",\\N,-18.597283,21.999267,1000,2,\"U\",\"Africa/Gaborone\"\n", + "9332,\"Kwando\",\"Kwando\",\"Botswana\",\"\",\\N,-18.208717,23.396733,1000,2,\"U\",\"Africa/Gaborone\"\n", + "9333,\"Boston North Station\",\"Boston\",\"United States\",\"\",\\N,42.366235,-71.061122,141,-5,\"A\",\"America/New_York\"\n", + "9334,\"Rockport Station\",\"Rockport\",\"United States\",\"\",\\N,42.6558328,-70.6266667,77,-5,\"A\",\"America/New_York\"\n", + "9335,\"Salem Station\",\"Salem\",\"United States\",\"\",\\N,42.5249995,-70.8958333,26,-5,\"A\",\"America/New_York\"\n", + "9336,\"Salem Ferry Dock\",\"Salem\",\"United States\",\"\",\\N,42.522421,-70.881607,26,-5,\"A\",\"America/New_York\"\n", + "9337,\"Long Wharf\",\"Boston\",\"United States\",\"\",\\N,42.36024,-71.048105,16,-5,\"A\",\"America/New_York\"\n", + "9338,\"Joliet Union Station\",\"Joliet\",\"United States\",\"\",\\N,41.5244,-88.0795,532,-6,\"A\",\"America/Chicago\"\n", + "9339,\"Laraway Road\",\"New Lenox\",\"United States\",\"\",\\N,41.485,-87.9596,703,-6,\"A\",\"America/Chicago\"\n", + "9340,\"Lasalle Station\",\"Chicago\",\"United States\",\"\",\\N,41.875,-87.632,592,-6,\"A\",\"America/Chicago\"\n", + "9341,\"Waterloo International\",\"London\",\"United Kingdom\",\"\",\\N,51.5031,-0.1147,10,0,\"E\",\"Europe/London\"\n", + "9342,\"Norfolk Station\",\"Norfolk\",\"United States\",\"\",\\N,36.843233,-76.275952,16,-5,\"A\",\"America/New_York\"\n", + "9343,\"London Railway Station\",\"London\",\"Canada\",\"\",\\N,42.9819,-81.2464,0,-5,\"A\",\"America/Toronto\"\n", + "9344,\"Gloucester Station\",\"Gloucester\",\"United States\",\"\",\\N,42.61666666666667,-70.66833333333334,50,-5,\"A\",\"America/New_York\"\n", + "9345,\"Kitchener Bus Terminal\",\"Kitchener\",\"Canada\",\"\",\\N,43.44968,-80.49222,1083,-5,\"A\",\"America/Toronto\"\n", + "9346,\"Gare du Palais\",\"Quebec\",\"Canada\",\"\",\\N,46.8174,-71.2139,13,-5,\"A\",\"America/Toronto\"\n", + "9347,\"Johnstown Amtrak\",\"Johnstown\",\"United States\",\"\",\\N,40.3296,-78.9219,1168,-5,\"A\",\"America/New_York\"\n", + "9348,\"Enumclaw Airport\",\"Enumclaw\",\"United States\",\"\",\"WA77\",47.1956569,-122.0220561,738,-8,\"A\",\"America/Los_Angeles\"\n", + "9349,\"Rock Airport\",\"Tarentum\",\"United States\",\"9G1\",\\N,40.6035463,-79.8261189,1063,-5,\"A\",\"America/New_York\"\n", + "9350,\"Grand Central Terminal\",\"New York\",\"United States\",\"\",\\N,40.752726,-73.977229,70,-5,\"A\",\"America/New_York\"\n", + "9351,\"Tremont\",\"New York\",\"United States\",\"\",\\N,40.847301,-73.89955,200,-5,\"A\",\"America/New_York\"\n", + "9352,\"Plum Island Airport\",\"Newburyport\",\"United States\",\"2B2\",\\N,42.7953611,-70.8394444,11,-5,\"A\",\"America/New_York\"\n", + "9353,\"Brooks Camp\",\"Brooks Camp\",\"United States\",\"\",\\N,58.556539,-155.777311,100,-9,\"A\",\"America/Anchorage\"\n", + "9354,\"Kulik Lake Airport\",\"Kulik Lake\",\"United States\",\"LKK\",\\N,58.96591,-155.108089,1000,-9,\"U\",\"America/Anchorage\"\n", + "9355,\"Central Station\",\"Glasgow\",\"United Kingdom\",\"ZGG\",\\N,55.858,-4.258,25,0,\"E\",\"Europe/London\"\n", + "9356,\"Euston Station\",\"London\",\"United Kingdom\",\"QQU\",\\N,51.5284,-0.1331,89,0,\"E\",\"Europe/London\"\n", + "9357,\"Waterloo International\",\"London\",\"United Kingdom\",\"QQW\",\\N,51.5031,-0.1147,10,0,\"E\",\"Europe/London\"\n", + "9358,\"Belorussky Station\",\"Moscow\",\"Russia\",\"\",\\N,55.7764,37.5803,400,4,\"N\",\"Europe/Moscow\"\n", + "9359,\"Railway Station\",\"Omsk\",\"Russia\",\"\",\\N,54.9833,73.3667,285,7,\"N\",\"Asia/Omsk\"\n", + "9360,\"Railway Station\",\"Krasnoyarsk\",\"Russia\",\"\",\\N,56.0167,93.0667,446,8,\"N\",\"Asia/Krasnoyarsk\"\n", + "9361,\"Railway Station\",\"Naushki\",\"Russia\",\"\",\\N,50.3827,106.1056,1975,9,\"N\",\"Asia/Irkutsk\"\n", + "9362,\"Railway Station\",\"Erlian\",\"China\",\"\",\\N,43.65,111.9833,3159,8,\"N\",\"Asia/Chongqing\"\n", + "9363,\"Guangzhoudong Railway Station\",\"Guangzhou\",\"China\",\"\",\\N,23.149554,113.32479,0,8,\"U\",\"Asia/Chongqing\"\n", + "9364,\"Domodedovo\",\"Moscow\",\"Russia\",\"\",\\N,55.442,37.763,207,4,\"U\",\"Europe/Moscow\"\n", + "9365,\"Levashovo\",\"St. Petersburg\",\"Russia\",\"\",\"XLLV\",60.08738,30.19152,59,4,\"E\",\"Europe/Moscow\"\n", + "9366,\"Kettle Falls Lodge\",\"Minaki\",\"Canada\",\"\",\\N,50.349812,-94.583456,180,-6,\"A\",\"America/Winnipeg\"\n", + "9367,\"Severobajkalsk Port\",\"Severobajkalsk\",\"Russia\",\"\",\\N,55.4209,109.3225,500,9,\"U\",\"Asia/Irkutsk\"\n", + "9368,\"Vanino-Port\",\"Vanino\",\"Russia\",\"\",\\N,49.093,140.285,20,11,\"U\",\"Asia/Vladivostok\"\n", + "9369,\"Holmsk-Port\",\"Holmsk\",\"Russia\",\"\",\\N,47.040278,142.043056,29,11,\"U\",\"Asia/Vladivostok\"\n", + "9370,\"Nogliki\",\"Nogliki\",\"Russia\",\"\",\\N,51.816667,143.116667,10,11,\"U\",\"Asia/Vladivostok\"\n", + "9371,\"Markovo Airport\",\"Markovo\",\"Russia\",\"KVM\",\"UHMO\",64.665278,170.414167,89,12,\"E\",\"Asia/Magadan\"\n", + "9372,\"Seymchan Airport\",\"Seymchan\",\"Russia\",\"\",\"UHMS\",62.919167,152.421667,679,12,\"E\",\"Asia/Magadan\"\n", + "9373,\"Zyryanka West Airport\",\"Zyryanka\",\"Russia\",\"ZKP\",\"UESU\",65.736389,150.700278,118,12,\"E\",\"Asia/Magadan\"\n", + "9374,\"Susuman Airport\",\"Susuman\",\"Russia\",\"\",\"UHMH\",62.767222,148.146111,2129,12,\"E\",\"Asia/Magadan\"\n", + "9375,\"OYMYAKON\",\"OYMYAKON\",\"Russia\",\"\",\"UEMY\",63.45,142.783333,2431,11,\"E\",\"Asia/Vladivostok\"\n", + "9376,\"Ust-Maya Airport\",\"Ust-Maya\",\"Russia\",\"UMS\",\"UEMU\",60.358056,134.437778,561,10,\"E\",\"Asia/Yakutsk\"\n", + "9377,\"Aldan Airport\",\"Aldan\",\"Russia\",\"ADH\",\"UEEA\",58.603056,125.407222,2241,10,\"E\",\"Asia/Yakutsk\"\n", + "9378,\"Olekminsk Airport\",\"Olekminsk\",\"Russia\",\"\",\"UEMO\",60.399167,120.464167,426,10,\"E\",\"Asia/Yakutsk\"\n", + "9379,\"Vitim Airport\",\"Vitim\",\"Russia\",\"\",\"UERT\",59.457778,112.562778,610,10,\"E\",\"Asia/Yakutsk\"\n", + "9380,\"Pellworm\",\"Pellworm\",\"Germany\",\"\",\"EDHP\",54.536431,8.67994,10,1,\"E\",\"Europe/Berlin\"\n", + "9381,\"Tynda\",\"Tynda\",\"Russia\",\"\",\\N,55.1512,124.716667,350,10,\"U\",\"Asia/Yakutsk\"\n", + "9382,\"Tommot\",\"Tommot\",\"Russia\",\"\",\\N,58.966667,126.266667,280,10,\"U\",\"Asia/Yakutsk\"\n", + "9383,\"Etretat\",\"Etretat\",\"France\",\"\",\\N,49.701,0.205,102,1,\"E\",\"Europe/Paris\"\n", + "9384,\"Le Havre\",\"Le Havre\",\"France\",\"\",\\N,49.4901,0.1001,13,1,\"E\",\"Europe/Paris\"\n", + "9385,\"Weimar\",\"Weimar\",\"Germany\",\"\",\\N,50.983333,11.316667,208,1,\"E\",\"Europe/Berlin\"\n", + "9386,\"Nalati\",\"Xinyuan\",\"China\",\"NLT\",\"ZWNL\",43.433056,83.380278,0,8,\"U\",\"Asia/Chongqing\"\n", + "9387,\"Port Alsworth Airport\",\"Port alsworth\",\"United States\",\"PTA\",\"PALJ\",60.208281,-154.306586,253,-9,\"A\",\"America/Anchorage\"\n", + "9388,\"Fontaine Airport\",\"Belfort\",\"France\",\"BOR\",\"LFSQ\",47.6556015,7.0108299,3663,1,\"E\",\"Europe/Paris\"\n", + "9389,\"Pampulha\",\"Belo Horizonte\",\"Brazil\",\"BHZ\",\\N,-19.8517,-43.9508,8708,-3,\"S\",\"America/Sao_Paulo\"\n", + "9390,\"Fairfield County Airport\",\"Winnsboro\",\"United States\",\"FDW\",\"KFDW\",34.315472,-81.108806,577,-5,\"A\",\"America/New_York\"\n", + "9391,\"Obock\",\"Obock\",\"Djibouti\",\"OBC\",\"HDOB\",11.968333,43.278611,69,3,\"N\",\"Africa/Djibouti\"\n", + "9392,\"Tadjoura\",\"Tadjoura\",\"Djibouti\",\"TDJ\",\"HDTJ\",11.783,42.917,246,3,\"N\",\"Africa/Djibouti\"\n", + "9393,\"Santa Cruz des Quiche Airport\",\"Santa Cruz des Quiche\",\"Guatemala\",\"AQB\",\"MGQC\",15.0122004,-91.1505966,6631,-6,\"S\",\"America/Guatemala\"\n", + "9394,\"Nordfjordur Airport\",\"Nordfjordur\",\"Iceland\",\"NOR\",\"BINF\",65.131897,-13.7463999,3648,0,\"E\",\"Atlantic/Reykjavik\"\n", + "9395,\"Bursa Airport\",\"Bursa\",\"Turkey\",\"BTZ\",\"LTBE\",40.2332993,29.0091991,772,2,\"U\",\"Europe/Istanbul\"\n", + "9396,\"Skyhaven Airport\",\"Rochester\",\"United States\",\"DAW\",\"KDAW\",43.2840556,-70.9292778,321,-5,\"A\",\"America/New_York\"\n", + "9397,\"Waris Airport\",\"Waris-Papua Island\",\"Indonesia\",\"WAR\",\"WAJR\",-3.22243,140.9790039,1224,9,\"U\",\"Asia/Jayapura\"\n", + "9398,\"Port Oceanic Airport\",\"Port Oceanic\",\"United States\",\"PRL\",\\N,60.2083333,-147.8194444,142,-9,\"A\",\"America/Anchorage\"\n", + "9399,\"Newton City-County Airport\",\"Newton\",\"United States\",\"EWK\",\"KEWK\",38.0570785,-97.2752278,1533,-6,\"A\",\"America/Chicago\"\n", + "9400,\"La Ferte Alais Airport\",\"La Ferte Alais\",\"France\",\"\",\"LFFQ\",48.497799,2.34333,453,1,\"E\",\"Europe/Paris\"\n", + "9401,\"Angguruk airstrip\",\"Angguruk\",\"Indonesia\",\"\",\\N,-4.2001,139.4329,4200,9,\"U\",\"Asia/Jayapura\"\n", + "9402,\"Bairnsdale Airport\",\"Bairnsdale\",\"Australia\",\"BSJ\",\"YBNS\",-37.8875,147.567778,165,10,\"O\",\"Australia/Hobart\"\n", + "9403,\"Bolton Field\",\"Columbus\",\"United States\",\"TZR\",\"KTZR\",39.901111,-83.136944,905,-5,\"A\",\"America/New_York\"\n", + "9404,\"Ocean Shores Municipal\",\"Ocean Shores\",\"United States\",\"W04\",\"KW04\",46.5995,-124.0854,15,-8,\"A\",\"America/Los_Angeles\"\n", + "9405,\"Packwood\",\"Packwood\",\"United States\",\"55S\",\"K55S\",46.3625,-121.4067,1057,-8,\"A\",\"America/Los_Angeles\"\n", + "9406,\"Fort Bridger\",\"Fort Bridger\",\"United States\",\"FBR\",\"KFBR\",41.236,-110.2436,7038,-7,\"A\",\"America/Denver\"\n", + "9407,\"Prosser\",\"Prosser\",\"United States\",\"S40\",\"KS40\",46.128,-119.4773,705,-8,\"A\",\"America/Los_Angeles\"\n", + "9408,\"Chehalis-Centralia\",\"Chehalis\",\"United States\",\"CLS\",\"KCLS\",46.4062,-122.5897,177,-8,\"A\",\"America/Los_Angeles\"\n", + "9409,\"Desert Aire\",\"Mattawa\",\"United States\",\"M94\",\"KM94\",46.4124,-119.5518,586,-8,\"A\",\"America/Los_Angeles\"\n", + "9410,\"Lebanon State\",\"Lebanon\",\"United States\",\"S30\",\"KS30\",44.3179,-122.5577,344,-8,\"A\",\"America/Los_Angeles\"\n", + "9411,\"Evanston-Uinta CO Burns Fld\",\"Evanston\",\"United States\",\"EVW\",\"KEVW\",41.1649,-111.0208,7143,-7,\"A\",\"America/Denver\"\n", + "9412,\"Sabetha Municipal\",\"Sabetha\",\"United States\",\"K83\",\"KK83\",39.5425,-95.4677,1330,-6,\"A\",\"America/Chicago\"\n", + "9413,\"Mount Pleasant Regional-Faison Field\",\"Mount Pleasant\",\"United States\",\"LRO\",\"KLRO\",32.5387,-79.4697,12,-5,\"A\",\\N\n", + "9414,\"Jimmy Carter Regional\",\"Americus\",\"United States\",\"ACJ\",\"KACJ\",32.0665,-84.1133,468,-5,\"A\",\"America/New_York\"\n", + "9415,\"Weedon Field\",\"Eufala\",\"United States\",\"EUF\",\"KEUF\",31.5708,-85.0774,285,-6,\"A\",\"America/Chicago\"\n", + "9416,\"Saluda County\",\"Saluda\",\"United States\",\"6J4\",\"K6J4\",33.5561,-81.4768,539,-5,\"A\",\"America/New_York\"\n", + "9417,\"Dare County Regional\",\"Manteo\",\"United States\",\"MQI\",\"KMQI\",35.5514,-75.4173,13,-5,\"A\",\"America/New_York\"\n", + "9418,\"Auburn University Regional\",\"Auburn\",\"United States\",\"AUO\",\"KAUO\",32.3691,-85.2604,777,-6,\"A\",\"America/Chicago\"\n", + "9419,\"Tri-Cities\",\"Endicott\",\"United States\",\"CZG\",\"KCZG\",42.0471,-76.0578,833,-5,\"A\",\"America/New_York\"\n", + "9420,\"Isla Culebrita\",\"Culebrita\",\"Puerto Rico\",\"\",\\N,18.31206,-65.228405,10,-4,\"U\",\"America/Puerto_Rico\"\n", + "9421,\"Culebrita\",\"Isla Culebrita\",\"Puerto Rico\",\"\",\\N,18.31206,-65.228405,10,-4,\"U\",\"America/Puerto_Rico\"\n", + "9422,\"Apollo Bay\",\"Apollo Bay\",\"Australia\",\"\",\\N,-38.758827,143.676624,10,10,\"U\",\"Australia/Hobart\"\n", + "9423,\"Zabrat\",\"Baku\",\"Azerbaijan\",\"\",\"ZABR\",40.483,49.967,0,4,\"U\",\"Asia/Baku\"\n", + "9424,\"Chirag\",\"Caspian Sea\",\"Azerbaijan\",\"\",\"CHIR\",40.283,51.283,0,4,\"U\",\\N\n", + "9425,\"Kendal Glider Port\",\"Kendall\",\"United States\",\"\",\\N,25.603889,-80.585556,10,-5,\"U\",\"America/New_York\"\n", + "9426,\"Lipa Noi Pier\",\"Lipa Noi\",\"Thailand\",\"\",\\N,9.481772,99.926558,10,7,\"N\",\"Asia/Bangkok\"\n", + "9427,\"Don Sak Pier\",\"Don Sak\",\"Thailand\",\"\",\\N,9.321146,99.735693,10,7,\"N\",\"Asia/Bangkok\"\n", + "9428,\"Bessemer\",\"Bessemer\",\"United States\",\"EKY\",\"KEKY\",33.1876,-86.5558,700,-6,\"A\",\"America/Chicago\"\n", + "9429,\"Colorado Springs East\",\"Ellicott\",\"United States\",\"A50\",\"KA50\",38.87,-104.41,6145,-7,\"A\",\"America/Denver\"\n", + "9430,\"Olds Didsbury Airport\",\"Didsbury\",\"Canada\",\"\",\\N,51.710833,-114.106111,3360,-7,\"A\",\"America/Edmonton\"\n", + "9431,\"Sundre Airport\",\"Sundre\",\"Canada\",\"\",\\N,51.774722,-114.680833,3663,-7,\"A\",\"America/Edmonton\"\n", + "9432,\"Buffalo-Depew Station\",\"Depew\",\"United States\",\"\",\\N,42.9074,-78.7266,676,-5,\"A\",\"America/New_York\"\n", + "9433,\"South Bend Station\",\"South Bend\",\"United States\",\"\",\\N,41.678,-86.2876,722,-5,\"A\",\"America/New_York\"\n", + "9434,\"Carroll Avenue NICTD Station\",\"Michigan City\",\"United States\",\"\",\\N,41.7133,-86.8677,630,-6,\"A\",\"America/Chicago\"\n", + "9435,\"Chicago Millennium Station\",\"Chicago\",\"United States\",\"\",\\N,41.8837,-87.623,620,-6,\"A\",\"America/Chicago\"\n", + "9436,\"St. Louis Gateway Transportation Center\",\"St. Louis\",\"United States\",\"\",\\N,38.6239,-90.2039,476,-6,\"A\",\"America/Chicago\"\n", + "9437,\"Kansas City Union Station\",\"Kansas City\",\"United States\",\"\",\\N,39.0865,-94.586,791,-6,\"A\",\"America/Chicago\"\n", + "9438,\"Alvarado Transportation Center\",\"Albuquerque\",\"United States\",\"\",\\N,35.0826,-106.6474,4970,-7,\"A\",\"America/Denver\"\n", + "9439,\"San Francisco 4th and King St. Station\",\"San Francisco\",\"United States\",\"\",\\N,37.7763884,-122.3944444,15,-8,\"A\",\"America/Los_Angeles\"\n", + "9440,\"Oakland Jack London Square Station\",\"Oakland\",\"United States\",\"\",\\N,37.7935,-122.2719,13,-8,\"A\",\"America/Los_Angeles\"\n", + "9441,\"Downtown Mountain View Station\",\"Mountain View\",\"United States\",\"\",\\N,37.3943934,-122.075872,15,-8,\"A\",\"America/Los_Angeles\"\n", + "9442,\"San Mateo Station\",\"San Mateo\",\"United States\",\"\",\\N,37.5683328,-122.3241667,15,-8,\"A\",\"America/Los_Angeles\"\n", + "9443,\"Sunnyvale Station\",\"Sunnyvale\",\"United States\",\"\",\\N,37.3786106,-122.0308333,15,-8,\"A\",\"America/Los_Angeles\"\n", + "9444,\"Millbrae Intermodal Terminal\",\"San Mateo\",\"United States\",\"\",\\N,37.6002772,-122.3866667,15,-8,\"A\",\"America/Los_Angeles\"\n", + "9445,\"Cleveland Greyhound Station\",\"Cleveland\",\"United States\",\"\",\\N,41.5034,-81.6822,679,-5,\"A\",\"America/New_York\"\n", + "9446,\"Issyk-Kul International Airport\",\"Tamchy\",\"Kyrgyzstan\",\"ИКУ\",\"UCFL\",42.3527,76.4278,5426,6,\"N\",\"Asia/Bishkek\"\n", + "9447,\"Crystal Airport\",\"Crystal\",\"United States\",\"MIC\",\"KMIC\",45.0343,-93.2114,869,-6,\"A\",\"America/Chicago\"\n", + "9448,\"Clarke CO\",\"Quitman\",\"United States\",\"23M\",\"K23M\",32.0517,-88.4434,320,-6,\"A\",\"America/Chicago\"\n", + "9449,\"Ellaidhoo\",\"Ellaidhoo\",\"Maldives\",\"\",\\N,4.005694444444444,72.9486111111111,0,5,\"N\",\"Indian/Maldives\"\n", + "9450,\"W H Barron Field\",\"Dublin\",\"United States\",\"DBN\",\"KDBN\",32.3388,-82.591,311,-5,\"A\",\"America/New_York\"\n", + "9451,\"Port Authority\",\"New York\",\"United States\",\"\",\\N,40.756667,-73.991111,33,-5,\"A\",\"America/New_York\"\n", + "9452,\"Bus Terminal\",\"Allentown\",\"United States\",\"\",\"ATWN\",40.605604,-75.462384,338,-5,\"A\",\"America/New_York\"\n", + "9453,\"Binghamton Bus Terminal\",\"Binghamton\",\"United States\",\"\",\"BING\",42.101438,-75.910431,850,-5,\"A\",\"America/New_York\"\n", + "9454,\"William F. Walsh Regional Transportation Center\",\"Syracuse\",\"United States\",\"\",\"SYTC\",43.0767,-76.1691,380,-5,\"A\",\"America/New_York\"\n", + "9455,\"Union Station\",\"Utica\",\"United States\",\"UCA\",\\N,43.104167,-75.223333,456,-5,\"A\",\"America/New_York\"\n", + "9456,\"Clinton Bus Stop\",\"Clinton\",\"United States\",\"\",\"CLTN\",43.048889,-75.380278,604,-5,\"A\",\"America/New_York\"\n", + "9457,\"Heuston Station\",\"Dublin\",\"Ireland\",\"\",\\N,53.3463,-6.2927,19,0,\"E\",\"Europe/Dublin\"\n", + "9458,\"Killarney Station\",\"Killarney\",\"Ireland\",\"\",\\N,52.5089,-9.5015,144,0,\"U\",\"Europe/Dublin\"\n", + "9459,\"Susquehanna Trailways Terminal\",\"Williamsport\",\"United States\",\"\",\"WSPT\",41.239395,-77.000245,518,-5,\"A\",\"America/New_York\"\n", + "9460,\"Martz Trailways Bus Terminal\",\"Wilkes-Barre\",\"United States\",\"\",\"WKBR\",41.243958,-75.882365,525,-5,\"A\",\"America/New_York\"\n", + "9461,\"Hazelton Bus Station\",\"Hazelton\",\"United States\",\"\",\"HZLT\",40.954055,-75.976102,1689,-5,\"A\",\"America/New_York\"\n", + "9462,\"Lewisburg Bus Stop\",\"Lewisburg\",\"United States\",\"\",\"LWSB\",40.963889,-76.888056,456,-5,\"A\",\"America/New_York\"\n", + "9463,\"Madison NJT Station\",\"Madison\",\"United States\",\"\",\"MDSN\",40.757028,-74.415194,266,-5,\"A\",\"America/New_York\"\n", + "9464,\"Maplewood NJT Station\",\"Maplewood\",\"United States\",\"\",\"MPLD\",40.731111,-74.275556,115,-5,\"A\",\"America/New_York\"\n", + "9465,\"Harrisburg Transportation Center\",\"Harrisburg\",\"United States\",\"\",\"HBRG\",40.26223,-76.878709,320,-5,\"A\",\"America/New_York\"\n", + "9466,\"Metro-North Station\",\"Poughkeepsie\",\"United States\",\"\",\"PKPS\",41.706516,-73.937774,180,-5,\"A\",\"America/New_York\"\n", + "9467,\"Port Everglades\",\"Fort Lauderdale\",\"United States\",\"\",\"FTLD\",26.087679,-80.115942,0,-5,\"A\",\"America/New_York\"\n", + "9468,\"Crown Bay\",\"Charlotte Amalie\",\"Virgin Islands\",\"\",\"STCB\",18.33482,-64.952187,0,-4,\"N\",\"America/St_Thomas\"\n", + "9469,\"Cruise Ship Dock\",\"Roseau\",\"Dominica\",\"\",\"RSAU\",15.296416,-61.38781,0,-4,\"N\",\"America/Dominica\"\n", + "9470,\"Grenada Port Authority Cruise Ship Terminal\",\"St. George's\",\"Grenada\",\"\",\"GREN\",12.050773,-61.754982,0,-4,\"N\",\"America/Grenada\"\n", + "9471,\"Martinique Cruise Terminal\",\"Fort de France\",\"Martinique\",\"\",\"MTQE\",14.601432,-61.073111,0,-4,\"N\",\"America/Martinique\"\n", + "9472,\"Dr AC Wathey Cruise Pier\",\"Philipsburg\",\"Netherlands Antilles\",\"\",\"PHBG\",18.011475,-63.046401,0,-4,\"N\",\"America/Curacao\"\n", + "9473,\"Half Moon Cay\",\"Little San Salvador Island\",\"Bahamas\",\"\",\"HMCY\",24.574135,-75.955868,0,-5,\"U\",\"America/Nassau\"\n", + "9474,\"Pukarua Airport\",\"Pukarua\",\"French Polynesia\",\"PUK\",\"NTGQ\",-18.3166666,-137.016666,6,-10,\"N\",\\N\n", + "9475,\"Kabale\",\"Kabale\",\"Uganda\",\"\",\"HUKB\",-1.223333,29.96,5850,3,\"N\",\"Africa/Kampala\"\n", + "9476,\"Cruz Bay Ferry Dock\",\"Cruz Bay\",\"Virgin Islands\",\"\",\"CBFD\",18.331263,-64.795408,0,-4,\"A\",\"America/St_Thomas\"\n", + "9477,\"Red Hook Bay Ferry Dock\",\"Red Hook\",\"Virgin Islands\",\"\",\"RHVI\",18.326479,-64.849361,0,-4,\"A\",\"America/St_Thomas\"\n", + "9478,\"Gare Routiere de Fort-de-France\",\"Fort-de-France\",\"Martinique\",\"\",\"FDFM\",14.602932,-61.070873,0,-4,\"U\",\"America/Martinique\"\n", + "9479,\"Saint Pierre\",\"Saint Pierre\",\"Martinique\",\"\",\"SPMQ\",14.746061,-61.176809,0,-4,\"U\",\"America/Martinique\"\n", + "9480,\"Philipsburg Bus Stop\",\"Philipsburg\",\"Netherlands Antilles\",\"\",\"PHSM\",18.0263,-63.049759,0,-4,\"N\",\"America/Curacao\"\n", + "9481,\"Marigot Bus Stop\",\"Marigot\",\"France\",\"\",\"MRGT\",18.066039,-63.084385,0,-4,\"N\",\\N\n", + "9482,\"Summit NJT Station\",\"Summit\",\"United States\",\"\",\"SMMT\",40.716556,-74.35775,374,-5,\"A\",\"America/New_York\"\n", + "9483,\"Batoka Airfield\",\"Dambwa - Livingstone\",\"Zambia\",\"\",\\N,-17.88464,25.84697,2695,2,\"N\",\"Africa/Lusaka\"\n", + "9484,\"Santa Justa\",\"Sevilla\",\"Spain\",\"\",\"SVSJ\",37.392051,-5.975135,23,1,\"E\",\"Europe/Madrid\"\n", + "9485,\"Cordoba Station\",\"Cordoba\",\"Spain\",\"\",\"CRDB\",37.888573,-4.789177,390,1,\"E\",\"Europe/Madrid\"\n", + "9486,\"Granada Station\",\"Granada\",\"Spain\",\"\",\"GRND\",37.184055,-3.60916,2421,1,\"E\",\"Europe/Madrid\"\n", + "9487,\"Atocha\",\"Madrid\",\"Spain\",\"\",\"MDAT\",40.4075,-3.691667,2188,1,\"E\",\"Europe/Madrid\"\n", + "9488,\"Corvallis Muni\",\"Corvallis\",\"United States\",\"CVO\",\"KCVO\",44.5067,-123.2915,250,-8,\"A\",\"America/Los_Angeles\"\n", + "9489,\"Helipad of Viraj Group\",\"Boisar\",\"India\",\"\",\\N,19.779,72.805,50,5.5,\"U\",\"Asia/Calcutta\"\n", + "9490,\"Heydar Aliyev\",\"Caspian Sea\",\"Azerbaijan\",\"\",\"HEYD\",39.86218,50.3959,0,4,\"E\",\\N\n", + "9491,\"Phantom Lake\",\"Phantom Lake\",\"Canada\",\"\",\\N,49.859473,-123.494509,3386,-8,\"A\",\"America/Vancouver\"\n", + "9492,\"Tuzla\",\"Tuzla\",\"Romania\",\"\",\"LRTZ\",43.9841995,28.6096992,78,2,\"U\",\"Europe/Bucharest\"\n", + "9493,\"Toledo Railway Station\",\"Toledo\",\"Spain\",\"\",\"TLDO\",39.862363,-4.011083,1736,1,\"E\",\"Europe/Madrid\"\n", + "9494,\"Chamartin Station\",\"Madrid\",\"Spain\",\"\",\"MADC\",40.472272,-3.68215,2188,1,\"E\",\"Europe/Madrid\"\n", + "9495,\"Abando\",\"Bilbao\",\"Spain\",\"\",\"BLBO\",43.25947,-2.929017,62,1,\"E\",\"Europe/Madrid\"\n", + "9496,\"Aeroport\",\"Barcelona\",\"Spain\",\"\",\"ARPT\",41.288436,2.072409,39,1,\"E\",\"Europe/Madrid\"\n", + "9497,\"Passeig de Gracia\",\"Barcelona\",\"Spain\",\"\",\"PGRC\",41.392186,2.16482,39,1,\"U\",\"Europe/Madrid\"\n", + "9498,\"Sants\",\"Barcelona\",\"Spain\",\"\",\"BSNT\",41.379359,2.140474,39,1,\"E\",\"Europe/Madrid\"\n", + "9499,\"Railway Station\",\"Figueres\",\"Spain\",\"\",\"FGRS\",42.265065,2.968822,128,1,\"E\",\"Europe/Madrid\"\n", + "9500,\"Martz Trailways\",\"Scranton\",\"United States\",\"\",\"SCRT\",41.410253,-75.670297,745,-5,\"A\",\"America/New_York\"\n", + "9501,\"New Brunswick Station\",\"New Brunswick\",\"United States\",\"\",\"NBWK\",40.496432,-74.446447,62,-5,\"A\",\"America/New_York\"\n", + "9502,\"Trenton Transit Center\",\"Trenton\",\"United States\",\"\",\"TRTC\",40.218839,-74.754279,49,-5,\"A\",\"America/New_York\"\n", + "9503,\"Holmesburg Jct Station\",\"Philadelphia\",\"United States\",\"\",\"HOLM\",40.032679,-75.023718,39,-5,\"U\",\"America/New_York\"\n", + "9504,\"White Plains\",\"White Plains\",\"United States\",\"\",\"WPLN\",41.032549,-73.775069,213,-5,\"A\",\"America/New_York\"\n", + "9505,\"Southeast\",\"Southeast\",\"United States\",\"\",\"STHT\",41.413179,-73.623551,338,-5,\"A\",\"America/New_York\"\n", + "9506,\"B Street Cruise Terminal\",\"San Diego\",\"United States\",\"\",\"SANB\",32.716861,-117.174296,0,-8,\"A\",\"America/Los_Angeles\"\n", + "9507,\"Terminal Maritima\",\"Puerto Vallarta\",\"Mexico\",\"\",\"PRTV\",20.657616,-105.241082,0,-6,\"A\",\"America/Mexico_City\"\n", + "9508,\"Bahia San Lucas\",\"Cabo San Lucas\",\"Mexico\",\"\",\"CABO\",22.880854,-109.902117,0,-7,\"A\",\"America/Mazatlan\"\n", + "9509,\"Ferry Terminal\",\"Anacortes\",\"United States\",\"\",\"ACRT\",48.50728,-122.677596,0,-8,\"A\",\"America/Los_Angeles\"\n", + "9510,\"Ferry Dock\",\"Friday Harbor\",\"United States\",\"\",\"FRID\",48.535673,-123.014044,0,-8,\"A\",\"America/Los_Angeles\"\n", + "9511,\"Morristown Station\",\"Morristown\",\"United States\",\"\",\"MRST\",40.796957,-74.473834,315,-5,\"A\",\"America/New_York\"\n", + "9512,\"Port of Seattle\",\"Seattle\",\"United States\",\"\",\"PSEA\",47.609178,-122.350605,0,-8,\"A\",\"America/Los_Angeles\"\n", + "9513,\"Ferry Terminal\",\"Whittier\",\"United States\",\"\",\"WHIT\",60.776566,-148.683367,0,-9,\"A\",\"America/Anchorage\"\n", + "9514,\"Ferry Terminal\",\"Valdez\",\"United States\",\"\",\"VLDZ\",61.123976,-146.365309,0,-9,\"A\",\"America/Anchorage\"\n", + "9515,\"Gare Routiere\",\"Saint-Louis\",\"Reunion\",\"\",\"STLS\",-21.289604,55.407269,103,4,\"E\",\"Indian/Reunion\"\n", + "9516,\"Bus Stop\",\"La Riviere\",\"Reunion\",\"\",\"LRIV\",-21.272574,55.437706,190,4,\"E\",\"Indian/Reunion\"\n", + "9517,\"Bus Stop\",\"Cilaos\",\"Reunion\",\"\",\"CILS\",-21.135518,55.472087,4000,4,\"E\",\"Indian/Reunion\"\n", + "9518,\"Bus Stop\",\"Hell-Bourg\",\"Reunion\",\"\",\"HLBG\",-21.06402,55.518453,3000,4,\"E\",\"Indian/Reunion\"\n", + "9519,\"Bus Stop\",\"Salazie\",\"Reunion\",\"\",\"SLZI\",-21.027485,55.538955,3000,4,\"E\",\"Indian/Reunion\"\n", + "9520,\"Gare\",\"St Andre\",\"Reunion\",\"\",\"ANDR\",-20.963272,55.652508,100,4,\"E\",\"Indian/Reunion\"\n", + "9521,\"L'Ocean Bus Terminal\",\"Saint Denis\",\"Reunion\",\"\",\"SDNS\",-20.877683,55.457393,0,4,\"E\",\"Indian/Reunion\"\n", + "9522,\"Gare Routiere\",\"Saint Pierre\",\"Reunion\",\"\",\"STPR\",-21.33424,55.471331,0,4,\"E\",\"Indian/Reunion\"\n", + "9523,\"Baie Ste Anne\",\"Praslin\",\"Seychelles\",\"\",\"PLIN\",-4.347119,55.765688,0,4,\"N\",\"Indian/Mahe\"\n", + "9524,\"La Passe\",\"La Digue\",\"Seychelles\",\"\",\"LADG\",-4.347969,55.829069,0,4,\"N\",\"Indian/Mahe\"\n", + "9525,\"Ferry Dock\",\"Bainbridge Island\",\"United States\",\"\",\"BAIN\",47.622237,-122.509362,0,-8,\"A\",\"America/Los_Angeles\"\n", + "9526,\"Bus\",\"Phnom Penh\",\"Cambodia\",\"\",\"PNMP\",11.561716,104.914276,0,7,\"N\",\"Asia/Phnom_Penh\"\n", + "9527,\"Bus\",\"Siem Reap\",\"Cambodia\",\"\",\"SMRP\",13.361002,103.859543,0,7,\"N\",\"Asia/Phnom_Penh\"\n", + "9528,\"Bus\",\"Sihanoukville\",\"Cambodia\",\"\",\"SNKV\",10.60722,103.524886,0,7,\"N\",\"Asia/Phnom_Penh\"\n", + "9529,\"Bus\",\"Kampot\",\"Cambodia\",\"\",\"KMPT\",10.614922,104.177724,0,7,\"N\",\"Asia/Phnom_Penh\"\n", + "9530,\"Bus\",\"Kep\",\"Cambodia\",\"\",\"KEPC\",10.480174,104.294228,0,7,\"N\",\"Asia/Phnom_Penh\"\n", + "9531,\"Main Station\",\"Taipei\",\"Taiwan\",\"\",\"TPEI\",25.046176,121.517532,0,8,\"N\",\"Asia/Taipei\"\n", + "9532,\"Prominent Hill\",\"Prominent Hill\",\"Australia\",\"PXH\",\"YPMH\",-29.716667,135.521667,734,9.5,\"O\",\"Australia/Adelaide\"\n", + "9533,\"Chatsworth Station\",\"Chatsworth\",\"United States\",\"CWT\",\\N,34.256944,-118.598889,978,-8,\"A\",\"America/Los_Angeles\"\n", + "9534,\"Algerciras Port\",\"Algerciras\",\"Spain\",\"\",\\N,36.136,-5.435,0,1,\"E\",\"Europe/Madrid\"\n", + "9535,\"Ganges Water Aerodrome\",\"Ganges\",\"Canada\",\"YGG\",\\N,48.85,-123.5,0,-8,\"A\",\"America/Vancouver\"\n", + "9536,\"Pender Harbour Water Aerodrome\",\"Pender Harbour\",\"Canada\",\"YPT\",\\N,49.616667,-124.016667,0,-8,\"A\",\"America/Vancouver\"\n", + "9537,\"Mansons Landing Water Aerodrome\",\"Mansons Landing\",\"Canada\",\"YMU\",\\N,50.066667,-124.983333,0,-8,\"A\",\"America/Vancouver\"\n", + "9538,\"Port McNeill Airport\",\"Port McNeill\",\"Canada\",\"YMP\",\\N,50.575556,-127.028611,225,-8,\"A\",\"America/Vancouver\"\n", + "9539,\"Sullivan Bay Water Aerodrome\",\"Sullivan Bay\",\"Canada\",\"YTG\",\\N,50.883333,-126.833333,0,-8,\"A\",\"America/Vancouver\"\n", + "9540,\"Deer Harbor Seaplane\",\"Deer Harbor\",\"United States\",\"DHB\",\\N,48.618397,-123.00596,0,-8,\"A\",\"America/Los_Angeles\"\n", + "9541,\"San Diego Old Town Transit Center\",\"San Diego\",\"United States\",\"OLT\",\\N,32.7552,-117.1995,0,-8,\"A\",\"America/Los_Angeles\"\n" + ] + } + ], + "source": [ + "!head ../airports.dat" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicio\n", + "\n", + "El siguiente codigo escribe los nombres de los aeropuertos en el archivo:\n", + "\n", + " import csv\n", + " f = open(\"../airports.dat\")\n", + " for renglon in csv.reader(f):\n", + " print renglon[1]\n", + "\n", + "Modifiquenlo de modo que solo imprima los nombres de los aeropuertos de Mexico. Como referencia, la pagina de donde descargamos el archivo contiene informacion sobre el contenido del mismo. Por ejemplo en ella podemos ver que el segundo, tercero y cuarto renglon corresponden al Nombre, Ciudad y Pais de cada aeropuerto en la lista." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "## Escriban y ejecuten el codigo en esta celda" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Solucion\n", + "\n", + " import csv\n", + " f = open(\"airports.dat\")\n", + " for row in csv.reader(f):\n", + " if row[3] == \"Australia\" or row[3] == \"Russia\":\n", + " print(row[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicio\n", + "\n", + "Ahora escriban un programa que cuente el numero de aeropuertos en cada pais de la lista. Los pasos seran similares a los realizados cuando analizamos los datos de la encuesta de rabanos." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Histograma de las Rutas de Aerolinea\n", + "\n", + "Vamos a combinar todo lo que hemos aprendido para resolver un problema un poco mas complejo. El proyecto OpenFlights distribuye bases de datos que contienen informacion sobre las localidades de aerolineas y detalles de sus rutas. Descargando la base de datos `routes.dat` de la pagina anterior, podemos ver que contiene ruta de vuelo:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2B,410,AER,2965,KZN,2990,,0,CR2\r", + "\r\n", + "2B,410,ASF,2966,KZN,2990,,0,CR2\r", + "\r\n", + "2B,410,ASF,2966,MRV,2962,,0,CR2\r", + "\r\n", + "2B,410,CEK,2968,KZN,2990,,0,CR2\r", + "\r\n", + "2B,410,CEK,2968,OVB,4078,,0,CR2\r", + "\r\n", + "2B,410,DME,4029,KZN,2990,,0,CR2\r", + "\r\n", + "2B,410,DME,4029,NBC,6969,,0,CR2\r", + "\r\n", + "2B,410,DME,4029,TGK,\\N,,0,CR2\r", + "\r\n", + "2B,410,DME,4029,UUA,6160,,0,CR2\r", + "\r\n", + "2B,410,EGO,6156,KGD,2952,,0,CR2\r", + "\r\n" + ] + } + ], + "source": [ + "!head ../routes.dat" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Usaremos las dos fuentes de datos para calcular que tan separadas estan cada una de las rutas de cada aerolinea, y crearemos un histograma mostrando la distribucion de las distancias de vuelo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Este es un excelente problema \n", + "para que en equipos o grupos lo resuelvan, asi cada grupo puede proponer una solucion diferente!\n", + "\n", + "* Primero se asegura que el grupo entienda cual es el problema\n", + "* Brainstorming para buscar soluciones\n", + " * Que necesita para resolverlo -\n", + " * Como lo va a resolver - separar en partes para obtner cada una de las partes que necesita\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Una posible solucion.\n", + "\n", + "Este problema consiste de varias partes:\n", + "\n", + "* Leer el archivo de aeropuertos `airports.dat` y crear un diccionario que relacione el identificador unico de cada aeropuerto (ID) con sus coordenadas geograficas (latitud y longitud). De esta manera podemos encontrar la localizacion de cada aeropuerto por medio de su identificador (ID).\n", + "\n", + "* Leer el archivo con las rutas `routes.dat` y obtener las IDs de los aeropuertos de salida y de destino. Buscar las coordenadas geograficas con base en la ID. Usando estas coordenadas, calcular la longitud de la ruta y agregarla a una lista de loingitudes de las rutas.\n", + "\n", + "* Graficar un histograma a partir de las longitudes para ver la distribucion de distancias de vuelo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Leer la base de datos de aeropuertos\n", + "\n", + "Escribir codigo que lea el archivo `airports.dat` y forme diccionarios relacionando la ID de cada aeropuerto con las coordenadas geograficas, un diccionario para latitudes y uno para longitudes.\n", + "\n", + "El [sitio de datos del proyecto OpenFlights](http://www.openflights.org/data.html) describe los campos que contiene el archivo `airports.dat`." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'1': -6.081689,\n", + " '10': 76.531203,\n", + " '100': 45.3225,\n", + " '1000': 17.917053,\n", + " '1001': -20.017431,\n", + " 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renglon[0]\n", + " latitudes[airport_id] = float(renglon[6])\n", + " longitudes[airport_id] = float(renglon[7])\n", + "latitudes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Recuerden que para ver el contenido de los diccionarios en las IPython Notebook, solo tienen que escribir el nombre de la variable en una celda y ejecutarla." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Distancias de Rutas\n", + "\n", + "Ahora que tenemos las latitudes y longitudes de cada aeropuerto, queremos calcular la distancia entre cada una de las rutas.\n", + "\n", + "Calcular distancias geograficas es un poco mas complicado porque la Tierra es esferica. La distancia usada se conoce como \"[distancia del gran circulo](http://people.hofstra.edu/geotrans/eng/ch1en/conc1en/greatcircle.html)\". No la vamos a implementar sino que vamos a usar [un archivo de Python con una funcion geo_distance()](../files/geo_distance.py)." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%load http://opentechschool.github.io/python-data-intro/files/geo_distance.py" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Using the Haversine formula for geographic Great Circle Distance\n", + "#\n", + "# As per https://en.wikipedia.org/wiki/Haversine_formula\n", + "\n", + "from math import cos,radians,sin,pow,asin,sqrt\n", + "\n", + "def distance(lat1, long1, lat2, long2):\n", + " radius = 6371 # radius of the earth in km, roughly https://en.wikipedia.org/wiki/Earth_radius\n", + "\n", + " # Lat,long are in degrees but we need radians\n", + " lat1 = radians(lat1)\n", + " lat2 = radians(lat2)\n", + " long1 = radians(long1)\n", + " long2 = radians(long2)\n", + "\n", + " dlat = lat2-lat1\n", + " dlon = long2-long1\n", + "\n", + " a = pow(sin(dlat/2),2) + cos(lat1)*cos(lat2)*pow(sin(dlon/2),2)\n", + " distance = 2 * radius * asin(sqrt(a))\n", + "\n", + " return distance\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Esta funcion puede usarse de dos maneras:\n", + "\n", + "* Guardando el archivo en el mismo directorio que la IPython Notebook con la que estan trabajando e importandola como un modulo de Python:\n", + "\n", + " import geo_distance\n", + " geo_distance.distance(-37.814,144.963,52.519,13.406) # Melbourne to Berlin in km!\n", + "\n", + "* En una celda de IPython Notebook, copiando y pegando el contenido del archivo, ejecutando la celda y usando la funcion definida durante la sesion." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Leer el archivo de rutas\n", + "\n", + "Armados con una funcion que calcula las distancias sobre \"la gran esfera\", necesitamos un programa que lea las rutas de las aerolineas del archivo `routes.dat`, busque la latitud y longitud de cada aeropuerto de salida y de llegada, y genera una lista de distancias de cada ruta." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "## Solucion\n", + "distancias = []" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "f = open(\"../routes.dat\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'2913'" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "source_airport" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + 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'1478': 36.973892,\n", + " '1479': 36.399169,\n", + " '148': 68.776111,\n", + " '1480': 35.216108,\n", + " '1481': 39.48,\n", + " '1482': 38.967553,\n", + " '1483': 38.339847,\n", + " '1484': 35.192019,\n", + " '1485': 37.530567,\n", + " '1486': 40.519725,\n", + " '1487': 38.108928,\n", + " '1488': 37.750853,\n", + " '1489': 47.436933,\n", + " '149': 48.206111,\n", + " '1490': 47.488917,\n", + " '1491': 46.9175,\n", + " '1492': 47.983892,\n", + " '1493': 46.303889,\n", + " '1496': 47.077861,\n", + " '1498': 47.122861,\n", + " '1499': 41.541392,\n", + " '15': 66.058056,\n", + " '150': 55.15139,\n", + " '1500': 38.997225,\n", + " '1501': 41.138856,\n", + " '1502': 41.432917,\n", + " '1503': 40.517514,\n", + " '1504': 40.239228,\n", + " '1505': 42.431656,\n", + " '1506': 40.657633,\n", + " '1507': 40.767833,\n", + " '1508': 38.905394,\n", + " '1509': 37.466781,\n", + " '151': 53.355833,\n", + " '1510': 35.497914,\n", + " '1511': 36.816519,\n", + " '1512': 38.175958,\n", + " '1513': 38.110833,\n", + " '1514': 38.071206,\n", + " '1515': 37.911403,\n", + " '1516': 37.401664,\n", + " '1517': 40.632133,\n", + " '1518': 39.354222,\n", + " '1519': 39.251469,\n", + " '152': 67.545833,\n", + " '1520': 40.898661,\n", + " '1521': 39.918761,\n", + " '1522': 45.086353,\n", + " '1523': 45.542222,\n", + " '1524': 45.630606,\n", + " '1525': 45.673889,\n", + " '1526': 45.200761,\n", + " '1527': 44.050608,\n", + " '1528': 44.413333,\n", + " '1529': 45.445103,\n", + " '153': 48.053333,\n", + " '1530': 45.529592,\n", + " '1531': 44.824483,\n", + " '1532': 44.913055,\n", + " '1534': 44.547019,\n", + " '1535': 46.031889,\n", + " '1536': 46.460194,\n", + " '1537': 44.224175,\n", + " '1538': 44.535444,\n", + " '1539': 45.6484,\n", + " '154': 58.096111,\n", + " '1540': 45.97875,\n", + " '1541': 44.194753,\n", + " '1542': 45.432167,\n", + " '1543': 45.472017,\n", + " '1544': 45.428889,\n", + " '1545': 45.8275,\n", + " '1546': 44.020292,\n", + " '1547': 45.684867,\n", + " '1548': 45.573411,\n", + " '1549': 45.395767,\n", + " '155': 65.281617,\n", + " '1550': 45.395706,\n", + " '1551': 45.505278,\n", + " '1552': 43.256286,\n", + " '1553': 41.799361,\n", + " '1554': 41.654522,\n", + " '1555': 41.804475,\n", + " '1556': 41.990278,\n", + " '1558': 42.760277,\n", + " '1559': 41.542436,\n", + " '156': 49.193889,\n", + " '1560': 41.060833,\n", + " '1561': 40.886033,\n", + " '1562': 43.683917,\n", + " '1563': 43.809953,\n", + " '1564': 42.759747,\n", + " '1565': 41.951946,\n", + " '1566': 42.430183,\n", + " '1567': 43.095906,\n", + " '1568': 45.899971,\n", + " '1569': 46.223686,\n", + " '157': 55.841944,\n", + " '1570': 46.479861,\n", + " '1571': 45.473353,\n", + " '1572': 46.471975,\n", + " '1573': 48.946381,\n", + " '1574': 49.939653,\n", + " '1575': 50.2532,\n", + " '1576': 49.848111,\n", + " '1577': 50.121367,\n", + " '1578': 49.029444,\n", + " '1579': 50.202978,\n", + " '158': 44.745834,\n", + " '1580': 49.675172,\n", + " '1581': 50.540211,\n", + " '1582': 49.696292,\n", + " '1583': 49.165833,\n", + " '1584': 50.013419,\n", + " '1585': 49.720078,\n", + " '1586': 49.425833,\n", + " '1587': 50.100833,\n", + " '1588': 49.151269,\n", + " '1589': 50.216581,\n", + " '159': 45.952221,\n", + " '1590': 32.011389,\n", + " '1591': 31.287003,\n", + " '1592': 31.839472,\n", + " '1593': 32.440814,\n", + " '1594': 29.561281,\n", + " '1595': 30.621656,\n", + " '1596': 32.809444,\n", + " '1597': 31.7625,\n", + " '1598': 32.981047,\n", + " '1599': 32.597139,\n", + " '16': 63.985,\n", + " '160': 49.910036,\n", + " '1600': 31.328169,\n", + " '1601': 31.208347,\n", + " '1602': 29.94025,\n", + " '1603': 32.665142,\n", + " '1604': 30.776061,\n", + " '1605': 32.114661,\n", + " '1606': 35.857497,\n", + " '1607': 47.843333,\n", + " '1608': 48.183304,\n", + " '1609': 46.991067,\n", + " '161': 52.921944,\n", + " '1610': 47.260219,\n", + " '1611': 48.233219,\n", + " '1612': 47.793304,\n", + " '1613': 48.110278,\n", + " '1614': 46.642514,\n", + " '1615': 47.202751,\n", + " '1616': 38.883278,\n", + " '1617': 36.97139,\n", + " '1618': 41.8578,\n", + " '1619': 38.078903,\n", + " '162': 52.183056,\n", + " '1620': 41.587058,\n", + " '1621': 40.157223,\n", + " '1622': 38.725025,\n", + " '1623': 40.264772,\n", + " '1624': 38.533472,\n", + " '1625': 39.455272,\n", + " '1626': 37.014425,\n", + " '1627': 39.092169,\n", + " '1628': 38.519894,\n", + " '1629': 38.761842,\n", + " '163': 63.209444,\n", + " '1630': 39.831244,\n", + " '1631': 38.703861,\n", + " '1632': 40.915867,\n", + " '1633': 37.741184,\n", + " '1634': 38.554333,\n", + " '1635': 37.149331,\n", + " '1636': 41.248055,\n", + " '1637': 33.073386,\n", + " '1638': 38.781311,\n", + " '1639': 38.6655,\n", + " '164': 49.612222,\n", + " '1640': 38.831053,\n", + " '1641': 39.47514,\n", + " '1642': 41.274334,\n", + " '1643': 40.725539,\n", + " '1645': 43.2829,\n", + " '1646': 43.824583,\n", + " '1647': 46.17655,\n", + " '1648': 46.521946,\n", + " '1649': 47.658389,\n", + " '165': 53.5725,\n", + " '1650': 44.503194,\n", + " '1651': 44.362222,\n", + " '1652': 46.785167,\n", + " '1653': 45.42,\n", + " '1654': 44.318139,\n", + " '1655': 47.178492,\n", + " '1656': 47.025278,\n", + " '1657': 44.572161,\n", + " '1658': 45.785597,\n", + " '1659': 47.703275,\n", + " '166': 52.170834,\n", + " '1660': 47.6875,\n", + " '1661': 45.062486,\n", + " '1662': 46.467714,\n", + " '1663': 45.809861,\n", + " '1664': 47.08385,\n", + " '1665': 46.238064,\n", + " '1666': 46.487499,\n", + " '1667': 46.219592,\n", + " '1668': 46.943889,\n", + " '1669': 47.398644,\n", + " '167': 50.01889,\n", + " '1670': 47.092369,\n", + " '1671': 47.078872,\n", + " '1672': 46.743333,\n", + " '1673': 46.843208,\n", + " '1674': 46.974914,\n", + " '1675': 46.004275,\n", + " '1676': 46.9141,\n", + " '1677': 47.181628,\n", + " '1678': 47.464722,\n", + " '1679': 47.485033,\n", + " '168': 56.238056,\n", + " '1680': 46.534075,\n", + " '1681': 39.93495,\n", + " '1682': 40.128082,\n", + " '1683': 39.949831,\n", + " '1684': 40.078919,\n", + " '1685': 36.982166,\n", + " '1686': 37.0021,\n", + " '1687': 38.726425,\n", + " '1688': 36.898731,\n", + " '1689': 36.947183,\n", + " '169': 50.113889,\n", + " '1690': 36.573472,\n", + " '1691': 37.979,\n", + " '1692': 38.35375,\n", + " '1693': 40.829375,\n", + " '1694': 39.813828,\n", + " '1695': 38.435347,\n", + " '1696': 38.770386,\n", + " '1697': 39.451469,\n", + " '1698': 40.306281,\n", + " '1699': 37.785567,\n", + " '17': 65.555833,\n", + " '170': 66.145,\n", + " '1701': 40.976922,\n", + " '1702': 39.619258,\n", + " '1703': 40.317972,\n", + " '1705': 39.784138,\n", + " '1706': 38.292392,\n", + " '1707': 38.319106,\n", + " '1708': 38.513022,\n", + " '1709': 37.785369,\n", + " '171': 47.695,\n", + " '1710': 39.426708,\n", + " '1712': 40.684353,\n", + " '1713': 40.735028,\n", + " '1715': 36.713056,\n", + " '1716': 38.808887,\n", + " '1718': 37.140144,\n", + " '1719': 40.992975,\n", + " '172': 53.889444,\n", + " '1721': 38.606925,\n", + " '1722': 37.893897,\n", + " '1723': 39.710203,\n", + " '1724': 39.956501,\n", + " '1726': 40.995108,\n", + " '1728': 38.468219,\n", + " '1729': 37.928969,\n", + " '173': 54.468508,\n", + " '1731': 37.978886,\n", + " '1732': 38.517608,\n", + " '1733': 37.950747,\n", + " '1734': 47.838114,\n", + " '1735': 46.927744,\n", + " '1736': 41.179956,\n", + " '1737': 41.961622,\n", + " '1738': 36.151219,\n", + " '1739': 44.818444,\n", + " '174': 43.033056,\n", + " '1740': 43.337289,\n", + " '1741': 42.359392,\n", + " '1742': 42.572778,\n", + " '1743': 42.404664,\n", + " '1744': 45.146889,\n", + " '1745': 48.170167,\n", + " '1746': 48.663055,\n", + " '1747': 48.402028,\n", + " '1748': 48.625247,\n", + " '1749': 48.637839,\n", + " '175': 49.025278,\n", + " '1750': 48.865003,\n", + " '1751': 49.073594,\n", + " '1753': 21.917475,\n", + " '1754': 21.773625,\n", + " '1755': 21.515739,\n", + " '1756': 19.198586,\n", + " '1757': 18.251464,\n", + " '1758': 17.928981,\n", + " '1759': 18.450711,\n", + " '176': 60.709553,\n", + " '1760': 18.567367,\n", + " '1761': 19.7579,\n", + " '1762': 18.429664,\n", + " '1763': 18.503706,\n", + " '1764': 19.406092,\n", + " '1765': 15.473528,\n", + " '1766': 15.468958,\n", + " '1767': 14.583272,\n", + " '1769': 14.521017,\n", + " '177': 46.363611,\n", + " '1770': 13.936192,\n", + " '1771': 15.742481,\n", + " '1772': 15.452639,\n", + " '1773': 16.445367,\n", + " '1774': 16.316814,\n", + " '1775': 15.775864,\n", + " '1776': 14.060883,\n", + " '1777': 15.926847,\n", + " '1778': 18.404247,\n", + " '1779': 17.935667,\n", + " '178': 51.113888,\n", + " '1780': 18.503717,\n", + " '1781': 18.198806,\n", + " '1782': 17.988558,\n", + " '1783': 16.757061,\n", + " '1784': 25.865572,\n", + " '1785': 21.705558,\n", + " '1786': 15.775317,\n", + " '1787': 18.834764,\n", + " '1788': 29.333917,\n", + " '1789': 18.653739,\n", + " '179': 54.824722,\n", + " '1790': 30.397439,\n", + " '1791': 17.573767,\n", + " '1792': 24.764547,\n", + " '1793': 18.504667,\n", + " '1794': 27.392639,\n", + " '1795': 19.816794,\n", + " '1796': 31.636133,\n", + " '1797': 28.702875,\n", + " '1798': 23.703336,\n", + " '18': 64.13,\n", + " '180': 58.836389,\n", + " '1800': 20.522403,\n", + " '1801': 24.124194,\n", + " '1802': 21.419453,\n", + " '1803': 31.795281,\n", + " '1804': 20.5218,\n", + " '1805': 27.968983,\n", + " '1806': 18.497189,\n", + " '1807': 29.095858,\n", + " '1808': 19.277011,\n", + " '1809': 21.245033,\n", + " '181': 49.463056,\n", + " '1810': 25.549497,\n", + " '1811': 16.449336,\n", + " '1813': 18.001731,\n", + " '1814': 25.685194,\n", + " '1815': 20.993464,\n", + " '1816': 24.072694,\n", + " '1817': 25.989194,\n", + " '1818': 25.769894,\n", + " '1819': 20.936981,\n", + " '182': 46.290001,\n", + " '1820': 32.630634,\n", + " '1821': 19.849944,\n", + " '1822': 18.103419,\n", + " '1823': 26.955733,\n", + " '1824': 19.436303,\n", + " '1825': 25.778489,\n", + " '1826': 23.161356,\n", + " '1827': 31.226083,\n", + " '1828': 27.443918,\n", + " '1829': 16.999906,\n", + " '183': 69.546667,\n", + " '1830': 20.602671,\n", + " '1831': 19.158144,\n", + " '1832': 20.0772,\n", + " '1833': 31.351878,\n", + " '1834': 28.627394,\n", + " '1835': 19.396692,\n", + " '1836': 20.680083,\n", + " '1837': 15.876861,\n", + " '1838': 20.617289,\n", + " '1839': 26.008908,\n", + " '184': 48.646944,\n", + " '1840': 23.15185,\n", + " '1841': 30.930222,\n", + " '1842': 22.254303,\n", + " '1843': 19.537964,\n", + " '1844': 16.739919,\n", + " '1845': 25.568278,\n", + " '1846': 16.561822,\n", + " '1847': 32.541064,\n", + " '1848': 22.29645,\n", + " '1849': 22.038292,\n", + " '185': 56.863888,\n", + " '1850': 19.337072,\n", + " '1851': 14.794339,\n", + " '1852': 21.036528,\n", + " '1853': 17.997,\n", + " '1854': 19.145931,\n", + " '1855': 22.897112,\n", + " '1856': 17.601569,\n", + " '1857': 20.045036,\n", + " '1858': 19.144778,\n", + " '1859': 20.755833,\n", + " '186': 50.291944,\n", + " '1860': 11.990961,\n", + " '1861': 12.190044,\n", + " '1862': 12.428028,\n", + " '1863': 12.141494,\n", + " '1864': 14.047194,\n", + " '1865': 9.340853,\n", + " '1866': 9.458636,\n", + " '1867': 8.391003,\n", + " '1868': 8.914794,\n", + " '1869': 8.973339,\n", + " '187': 58.739167,\n", + " '1870': 8.085597,\n", + " '1871': 9.071364,\n", + " '1872': 9.163606,\n", + " '1874': 8.601556,\n", + " '1875': 9.981408,\n", + " '1877': 10.202033,\n", + " '1878': 8.916347,\n", + " '1879': 8.653775,\n", + " '188': 53.319168,\n", + " '1880': 10.217194,\n", + " '1881': 10.593289,\n", + " '1882': 11.035277,\n", + " '1883': 9.957961,\n", + " '1884': 9.97649,\n", + " '1885': 9.993861,\n", + " '1886': 9.732169,\n", + " '1887': 8.951025,\n", + " '1889': 9.443164,\n", + " '189': 47.61861,\n", + " '1890': 10.288278,\n", + " '1891': 8.826111,\n", + " '1892': 13.440947,\n", + " '1893': 13.699492,\n", + " '1894': 18.271103,\n", + " '1895': 19.732989,\n", + " '1896': 18.241083,\n", + " '1897': 18.58005,\n", + " '1898': 20.365317,\n", + " '1899': 20.396331,\n", + " '19': 66.133333,\n", + " '190': 49.413889,\n", + " '1900': 22.027053,\n", + " '1901': 22.460986,\n", + " '1902': 22.15,\n", + " '1903': 21.616453,\n", + " '1904': 21.420428,\n", + " '1905': 19.969769,\n", + " '1906': 21.499722,\n", + " '1907': 19.906458,\n", + " '1908': 20.085419,\n", + " '1909': 22.989153,\n", + " '191': 50.290279,\n", + " '1910': 20.785589,\n", + " '1911': 22.336261,\n", + " '1912': 20.654114,\n", + " '1913': 20.288172,\n", + " '1914': 21.834689,\n", + " '1915': 23.032778,\n", + " '1916': 22.421356,\n", + " '1917': 22.871529,\n", + " '1918': 22.492192,\n", + " '1919': 21.509453,\n", + " '192': 48.608612,\n", + " '1920': 21.642525,\n", + " '1921': 21.969969,\n", + " '1923': 23.034445,\n", + " '1924': 20.987642,\n", + " '1925': 19.686981,\n", + " '1926': 19.292778,\n", + " '1927': 24.287664,\n", + " '1928': 24.698283,\n", + " '193': 43.677223,\n", + " '1930': 26.511406,\n", + " '1931': 25.053814,\n", + " ...}" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "latitudes" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "source_airport in latitudes" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "source_airport in latitudes and dest_airport in latitudes" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "40.608989\n", + "72.793269\n", + "43.061306\n", + "74.477556\n" + ] + } + ], + "source": [ + "print latitudes[source_airport]\n", + "print longitudes[source_airport]\n", + "print latitudes[dest_airport]\n", + "print longitudes[dest_airport]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "for row in csv.reader(f):\n", + " source_airport = row[3]\n", + " dest_airport = row[5]\n", + " if source_airport in latitudes and dest_airport in latitudes:\n", + " source_lat = latitudes[source_airport]\n", + " source_long = longitudes[source_airport]\n", + " dest_lat = latitudes[dest_airport]\n", + " dest_long = longitudes[dest_airport]\n", + " distancias.append(distance(source_lat,source_long,dest_lat,dest_long))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Histogram\n", + "\n", + "La lista de distancias entre rutas que se guarda en la lista `distances` puede usarse para crear un histograma:\n", + "\n", + " import numpy as np\n", + " import matplotlib.pyplot as plt\n", + " %matplotlib inline\n", + "\n", + " plt.hist(distances, 100, facecolor='r')\n", + " plt.xlabel(\"Distance (km)\")\n", + " plt.ylabel(\"Number of flights\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "plt.hist(distancias, 100, facecolor='r');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Listo!\n", + "\n", + "Hemos usado datos del mundo real para graficarlos de una manera informativa! Es verdad que no son los resultados mas impactantes pero nos llevan en la direccion correcta para entender algunas tecnicas que se llevan a cabo en el analisis de datos.\n", + "\n", + "En el siguiente modulo volveremos a este ejemplo pero usando la libreria `pandas`. Por ahora, felicidades! y no olviden guardar los cambios a sus documentos." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia2/notebooks/D2S1L02_Adquiriendo_datos_gps.ipynb b/Dia2/notebooks/D2S1L02_Adquiriendo_datos_gps.ipynb new file mode 100644 index 0000000..a88a52d --- /dev/null +++ b/Dia2/notebooks/D2S1L02_Adquiriendo_datos_gps.ipynb @@ -0,0 +1,133 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# D2S1L2 Datos de Geoposicion (GPS)\n", + "\n", + "Casi todos los dispositivos modernos tienen capacidades de geolocalizacion. En esta sesion vamos a escribir algunos programas para accesar a estos datos y utilizarlos para, por ejemplo, graficar en un mapa su posicion actual. \n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En la terminal de anaconda escriban el siguiente comando:\n", + "\n", + " conda install bokeh\n", + " \n", + "El sistema descargara un conjunto de paquetes para poder satisfacer las dependencias. Mientras busquen en sus dispositivos su geolocalizacion." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Cuando el sistema termine de instalar `bokeh` y las dependencias, ejecuten la siguiente celda de codigo. Este programa es un poco \"complicado\" pero el resultado es interesante..." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wrote maps.html\n" + ] + } + ], + "source": [ + "from __future__ import print_function\n", + "\n", + "from bokeh.browserlib import view\n", + "from bokeh.document import Document\n", + "from bokeh.embed import file_html\n", + "from bokeh.models.glyphs import Circle\n", + "from bokeh.models import (\n", + " GMapPlot, Range1d, ColumnDataSource,\n", + " PanTool, WheelZoomTool, BoxSelectTool,\n", + " BoxSelectionOverlay, GMapOptions)\n", + "from bokeh.resources import INLINE\n", + "\n", + "x_range = Range1d()\n", + "y_range = Range1d()\n", + "\n", + "# JSON style string taken from: https://snazzymaps.com/style/1/pale-dawn\n", + "map_options = GMapOptions(lat=19.45, lng=-96.97, map_type=\"roadmap\", zoom=13, styles=\"\"\"\n", + "[{\"featureType\":\"administrative\",\"elementType\":\"all\",\"stylers\":[{\"visibility\":\"on\"},{\"lightness\":33}]},{\"featureType\":\"landscape\",\"elementType\":\"all\",\"stylers\":[{\"color\":\"#f2e5d4\"}]},{\"featureType\":\"poi.park\",\"elementType\":\"geometry\",\"stylers\":[{\"color\":\"#c5dac6\"}]},{\"featureType\":\"poi.park\",\"elementType\":\"labels\",\"stylers\":[{\"visibility\":\"on\"},{\"lightness\":20}]},{\"featureType\":\"road\",\"elementType\":\"all\",\"stylers\":[{\"lightness\":20}]},{\"featureType\":\"road.highway\",\"elementType\":\"geometry\",\"stylers\":[{\"color\":\"#c5c6c6\"}]},{\"featureType\":\"road.arterial\",\"elementType\":\"geometry\",\"stylers\":[{\"color\":\"#e4d7c6\"}]},{\"featureType\":\"road.local\",\"elementType\":\"geometry\",\"stylers\":[{\"color\":\"#fbfaf7\"}]},{\"featureType\":\"water\",\"elementType\":\"all\",\"stylers\":[{\"visibility\":\"on\"},{\"color\":\"#acbcc9\"}]}]\n", + "\"\"\")\n", + "\n", + "plot = GMapPlot(\n", + " x_range=x_range, y_range=y_range,\n", + " map_options=map_options,\n", + " title=\"Coatepec\"\n", + ")\n", + "\n", + "source = ColumnDataSource(\n", + " data=dict(\n", + " lat=[19.4545, 19.4546, 19.44547],\n", + " lon=[-96.971, -96.972, -96.973],\n", + " fill=['orange', 'blue', 'green']\n", + " )\n", + ")\n", + "\n", + "circle = Circle(x=\"lon\", y=\"lat\", size=15, fill_color=\"fill\", line_color=\"black\")\n", + "plot.add_glyph(source, circle)\n", + "\n", + "pan = PanTool()\n", + "wheel_zoom = WheelZoomTool()\n", + "box_select = BoxSelectTool()\n", + "\n", + "plot.add_tools(pan, wheel_zoom, box_select)\n", + "overlay = BoxSelectionOverlay(tool=box_select)\n", + "plot.add_layout(overlay)\n", + "\n", + "doc = Document()\n", + "doc.add(plot)\n", + "\n", + "if __name__ == \"__main__\":\n", + " filename = \"maps.html\"\n", + " with open(filename, \"w\") as f:\n", + " f.write(file_html(doc, INLINE, \"Google Maps Example\"))\n", + " print(\"Wrote %s\" % filename)\n", + " view(filename)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia2/notebooks/Tutoriales/Lib01_Tutorial_Esenciales_Python.ipynb b/Dia2/notebooks/Tutoriales/Lib01_Tutorial_Esenciales_Python.ipynb new file mode 100644 index 0000000..381872b --- /dev/null +++ b/Dia2/notebooks/Tutoriales/Lib01_Tutorial_Esenciales_Python.ipynb @@ -0,0 +1,244 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:4a3f793a566e71c48557381d20794956c8ac9d75b4982c60735c27c259a76203" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Esenciales de Python 1\n", + "=====\n", + "\n", + "Bienvenidos al curso de Python Interactivo, [IPython](http://www.ipython.org). Python es un lenguaje de programacion que como vimos en al introduccion ha ganado terreno debido a su facilidad de uso en diversas aplicaciones, desde cientificas hasta de desarrollo. \n", + "\n", + "Si ya estan familiarizados con Python esta seccion les servira de recordatorio; en caso contrario esta introduccion basica servira de inicio para el curso." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Instalando Python\n", + "\n", + "Les pedi antes del inicio del curso que intentaran instalara Python. La forma mas sencilla de hacerlo y que configura el sistema con todas las dependencias que necesitaremos a lo largo del curso es usando `Anaconda`. La informacion detallada de [como instalar el ambiente de IPython pueden consultarla en este documento.](../Dia1/Lib00_Esenciales_Instalacion.ipynb)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Iniciando Python\n", + "\n", + "Una vez instalado Python en su sistema, pueden iniciar el interprete interactivo escribiendo `python` en la linea de comando. Al iniciar deber mostrarles informacion del contexto de Python similar a la que se muestra a continuacion:\n", + " \n", + " Python 2.7.8 |Anaconda 2.0.1 (x86_64)| (default, Aug 21 2014, 15:21:46)\n", + " [GCC 4.2.1 (Apple Inc. build 5577)] on darwin\n", + " Type \"help\", \"copyright\", \"credits\" or \"license\" for more information.\n", + " >>>\n", + "\n", + "en Windows puede iniciarse Python a traves del menu de inicio.\n", + "\n", + "Para salir del interprete de Python, presionen la combinacion de teclas `Ctrl-D`.\n", + "\n", + "Para ejecutar un programa salvando en un archivo de Python, puede correrse desde la linea de comando escribiendo:\n", + "\n", + " python programa.py\n", + "\n", + "En Windows puede ejecutarse un archivo de Python dandole doble click." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Loops\n", + "\n", + "Que hacen las siguientes lineas de codigo?\n", + "\n", + " for i in 2, 4, 6, 8:\n", + " print(i)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### En esta celda escriban su solucion" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicio\n", + "Python tiene una funcion interna llamada `range` que automaticamente genera un intervalo de numeros como \\[2,4,6,8\\]. Por ejemplo, `range(1,10)` es una secuencia de los numeros 1 al 9, excluyendo el valor extremo, en este caso el 10. Esto ultimo puede confundir pero quizas estan ya acostumbrados.\n", + "\n", + " for i in range(1,10):\n", + " print(i)\n", + "\n", + "Escriban estas lineas de codigo y ejecutenlas. Despues, usando la funcion `range` obtengan una secuencia de numeros equivalente a \\[2, 4, 6, 8\\]? \n", + "\n", + "Pueden encontrar acceder a la ayuda si escriben `help(range)` o `range?`. La informacion que les sera util esta cerca del inicio de la ayuda. Cuando terminen de consultar la ayuda, presionen 'q' para regresar al interprete." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Variables\n", + "\n", + "Pueden usar variables para manipular valores dentro de un programa. Que hacen las siguientes lineas de codigo?\n", + "\n", + " total = 0\n", + " for i in 1, 3, 7:\n", + " total = total + i\n", + " print(total)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### En esta celda escriban su solucion" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicio\n", + "\n", + "Si por algun motivo no quieren usar un loop `for`, Python tiene una function interna llamada `sum` que permite evitar el uso de `for`. Pueden obtener el mismo resultado que el loop anterior con:\n", + "\n", + " print(sum([1,3,7]))\n", + "\n", + "Escriban una sola linea de instruccion que, usando `sum` y `range` de la suma de los numeros del 1 al 100" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Funciones\n", + "\n", + "Es posible definir funciones con parametros, utiles para reusar codigo. Que hacen las siguientes lineas de codigo?\n", + "\n", + " def saluda_a(nombre):\n", + " print(\"Hola \" + nombre)\n", + "\n", + " saluda_a(\"Miranda\")\n", + " saluda_a(\"Fede\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### En esta celda escriban su solucion" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Condicionales\n", + "\n", + "Se pueden usar expresiones con 'if' para ejecutar unicamente algunos comandos si alguna condicion se cumple. Que hacen las siguientes lineas de codigo?\n", + "\n", + " angulo = 5\n", + " if angulo > 0:\n", + " print(\"Girando en sentido dextrogiro\")\n", + " elif angulo < 0:\n", + " print(\"Girando en sentido levogiro\")\n", + " else:\n", + " print(\"No girando\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### En esta celda escriban su solucion" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Modulo siguiente\n", + "Antes de pasar al siguiente modulo, guarden los cambios realizados.\n", + "\n", + "El siguiente modulo presenta algunas [estructuras de datos en Python](Lib02_Esenciales_DataStructures.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia2/notebooks/Tutoriales/Lib02_Tutorial_Esenciales_DataStructures.ipynb b/Dia2/notebooks/Tutoriales/Lib02_Tutorial_Esenciales_DataStructures.ipynb new file mode 100644 index 0000000..4bcab81 --- /dev/null +++ b/Dia2/notebooks/Tutoriales/Lib02_Tutorial_Esenciales_DataStructures.ipynb @@ -0,0 +1,262 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:e1dab431832b1c01eab672b89e1428d62685be06edf785891ef7b1ec6e0d9f62" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Esenciales de Python 2\n", + "=====\n", + "\n", + "Cuando trabajamos con datos, necesitamos una manera de guardarlos en variables de manera que podamos manipularlos. Usaremos dos nuevos tipos de estructuras que quizas no conozcan: **listas** y **diccionarios**.\n", + "\n", + "En este modulo veremos las **listas**" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Entendiendo las estructuras de datos\n", + "\n", + "Tres de los tipos de datos mas comunes usados en programacion son: numeros, cadenas (de caracteres) y booleanos. En Python estos tipos de datos se asignan a variables uno por uno, como en:\n", + "\n", + " x = 3 # numeros\n", + " a = \"gorilas\" # cadenas\n", + " t = True # booleanos\n", + "\n", + "Pero que pasa si necesitamos algo mas complicado, como una lista del supermercado. Asignando una variable para cada elemento de la lista podria hacer que las cosas fueran complicandose rapidamente:\n", + "\n", + " item_1 = \"leche\"\n", + " item_2 = \"queso\"\n", + " item_3 = \"pan\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Listas\n", + "\n", + "Python proporciona un manera de evitar este tipo de cosas. En lugar de esto, existe el tipo de datos 'lista', ``list``. Una lista vacia, sin elementos, es simplemente ``[]``:\n", + "\n", + " lista_del_super = []\n", + "\n", + "Si estan en el interprete de Python, pueden ver que hay dentro de una lista escribiendo el nombre de la lista. Por ejemplo:\n", + "\n", + " >>> lista_del_super\n", + " []" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "El interprete muestra que la lista esta vacia.\n", + "\n", + "Para agregar elementos a la ``lista_del_super``, usamos los siguientes comandos:\n", + "\n", + " lista_del_super.append(\"leche\")\n", + " lista_del_super.append(\"queso\")\n", + " lista_del_super.append(\"pan\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Que hay ahora en la `lista_del_super`?\n", + "Que ocurre si agregamos numeros o booleanos a la lista?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Tambien podemos asignar una lista con algunos elementos en una sola linea, por ejemplo:\n", + "\n", + " lista_del_super = [ \"leche\", \"queso\", \"pan\" ]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Para remover un elemento de lista, usamos ``remove()``:\n", + "\n", + " lista_del_super.remove(\"leche\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Las listas pueden usarse y procesarse facilmente dentro de un loop usando `for`. Vean el siguiente ejemplo el cual imprime cada elemento de la lista en un renglon nuevo:\n", + "\n", + " for item in lista_del_super:\n", + " print(item)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Eso es todo! En Python es muy facil checar si algo esta o no en una lista:\n", + "\n", + " if \"leche\" in lista_del_super:\n", + " print(\"Mmmh! Que rico.\")\n", + "\n", + " if \"huevos\" not in lista_del_super:\n", + " print(\"No podemos tener eso!\")\n", + " shopping_list.append(\"huevos\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Las listas son las estructuras de datos mas comunes en programacion. Existen muchas otras cosas que pueden hacerse con ellas, y todos los lenguajes tienen ligeras diferencias en su interpretacion, pero fundamentalmente son todas similares.\n", + "\n", + "En resumen:\n", + "\n", + " lista_del_super = []\n", + " lista_del_super.append(\"galletas\")\n", + " lista_del_super.remove(\"galletas\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicios\n", + "1. Ejecuten todas las celdas de esta libreta\n", + "\n", + "2. Crear una lista de al menos tres nombres de plantas.\n", + "3. Agregar una nueva planta a su lista.\n", + "4. Checar si la planta \"encinos\" esta en su lista, si no esta, incluyanla." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Modulo siguiente\n", + "Antes de pasar al siguiente modulo, guarden los cambios realizados.\n", + "\n", + "El siguiente modulo presenta el [otro tipo de estructuras comun en Python, diccionarios.](Lib03_Esenciales_DataStructures.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia2/notebooks/Tutoriales/Lib03_Tutorial_Esenciales_DataStructures.ipynb b/Dia2/notebooks/Tutoriales/Lib03_Tutorial_Esenciales_DataStructures.ipynb new file mode 100644 index 0000000..d438e92 --- /dev/null +++ b/Dia2/notebooks/Tutoriales/Lib03_Tutorial_Esenciales_DataStructures.ipynb @@ -0,0 +1,268 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:f0da0dd39ae7f167ffac747e34a4968c5780b17805cbd45133fe25c3a7a76732" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Esenciales de Python\n", + "=====\n", + "En este modulo presentamos las estructuras conocidas en Python como **diccionarios**." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Diccionarios\n", + "\n", + "El otro tipo de datos fundamental son los diccionarios. Un diccionario permite asociar una parte de los datos (una llave, \"key\") con otra (el valor, \"value\"). Esta analogia viene de los diccionarios reales, donde se asocia una palabra con su significado. Son un poco mas dificiles de entender que las listas, pero Python hace muy sencillo su uso." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pueden crear un diccionario con ``{}``\n", + "\n", + " comidas = {}\n", + "\n", + "Y agregar elementos al diccionario de la siguiente manera:\n", + "\n", + " comidas[\"platano\"] = \"Un bocado amarillo exquisito!\"\n", + " comidas[\"lodo\"] = \"No muy rico. NO COMER!\"\n", + "\n", + "En este ejemplo, las llaves (keys) son \"platano\" y \"lodo\", y los valores (values) son aquellos que asignamos a las llaves. Como llave puede usarse cualquier tipo de dato que no cambie. Prueben usando un numero, un valor booleano y una lista como llaves en un diccionario. Que les dice esto de las cadenas de caracteres?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Como con las listas, puede verse que hay en un diccionario:\n", + "\n", + " >>> comidas\n", + " {'platano': 'Un bocado amarillo exquisito!', 'lodo': 'No muy rico. NO COMER!'}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Puede consultarse cualquierentrada en un diccionario usando su llave:\n", + "\n", + " >>> comidas[\"platano\"]\n", + " 'Un bocado amarillo exquisito!'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Si la llave no se encuentra en el diccionario, ocurre un `KeyError`:\n", + "\n", + " >>> comidas[\"queso\"]\n", + " Traceback (most recent call last):\n", + " File \"\", line 1, in \n", + " KeyError: 'queso'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Por esta razon, es posible probar si una llave esta o no en un diccionario, usando la palabra `in`:\n", + "\n", + " if \"queso\" in comidas:\n", + " print(\"Queso es una comida conocida!\")\n", + " print(comidas[\"queso\"])\n", + "\n", + "`not in` tambien sirve, intentenlo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos borrar de un diccionario. Por ejemplo, no necesitamos una entrada para el lodo:\n", + "\n", + " del comidas[\"lodo\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Lo que hace muy utiles a los diccionarios es que podemos asignar significado a los elementos. Una lista es solamente una bolsa llena de objetos, pero un diccionario es un mapeo especifico de algo en otra cosa. Al combinar listas y diccionarios se puede describir basicamente cualquier estructura usada en computacion." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Por ejemplo, es muy sencillo incluir una lista en un diccionario:\n", + "\n", + " ingredientes = {}\n", + " ingredientes[\"sandwich jlt\"] = [\"pan\", \"jitomate\", \"lechuga\", \"tocino\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "O agregar dictcionarios a listas:\n", + "\n", + " europa = []\n", + " alemania = {\"nombre\": \"Alemania\", \"poblacion\": 81000000}\n", + " europa.append(alemania)\n", + " luxemburgo = {\"nombre\": \"Luxemburgo\", \"poblacion\": 512000}\n", + " europa.append(luxemburgo)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Fuera de Python, los diccionarios se conocen como ``tablas hash``, ``mapas hash`` o solo ``mapas``." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicio\n", + "\n", + "1. Ejecuten todas las celdas de esta libreta.\n", + "\n", + "2. Agreguen un diccionario a la lista de plantas que crearon en el modulo anterior, dandole los siguientes atributos a cada planta: \n", + "\n", + " * nombre: una cadena de texto especificando el nombre de la planta\n", + " * es_arbusto, una variable booleana\n", + " * es_arbol, una variable booleana\n", + " * imagen, un enlace a una fotografia de la planta en internet (por ejemplo en [Wikipedia](http://es.wikipedia.org/), en [FigShare](figshare.com) o en la [Biblioteca Science Photo Library](http://www.sciencephoto.com)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Modulo siguiente\n", + "Antes de pasar al siguiente modulo, guarden los cambios realizados.\n", + "\n", + "En el siguiente modulo veremos como trabajar con [archivos de texto en Python.](../Dia2/Lib04_Esenciales_TextFiles.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia2/notebooks/Tutoriales/Lib04_Tutorial_Esenciales_TextFiles.ipynb b/Dia2/notebooks/Tutoriales/Lib04_Tutorial_Esenciales_TextFiles.ipynb new file mode 100644 index 0000000..d6380e5 --- /dev/null +++ b/Dia2/notebooks/Tutoriales/Lib04_Tutorial_Esenciales_TextFiles.ipynb @@ -0,0 +1,905 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:cd5c8baa5a0d0aebbefc2f61250c35a7b837ee7eba2d61fef57534a2f2e5c881" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Esenciales de Python 4\n", + "=====\n", + "En este modulo presentaremos como acceder a los archivos de texto en Python." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Archivos de texto\n", + "Un archivo de texto es cualquier archivo que continene unicamente caracteries legibles." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + "\"Book\n", + "
\n", + "\n", + "
\n", + "\"Untitled\"\n", + "
\n", + "\n", + "
\n", + "\"IBM\n", + "
" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Que hay en un archivo de texto\n", + "Un caracter puede ser un numero como 3 o 7, o una letra del alfabeto. Juntos, se conocen en programacion como caracteres *alfanumericos*.\n", + "\n", + "Algunos simbolos como # o $ tambien constituyen caracteres, incluso otros como \u6c49 o \u0419. Cada uno de estos constituye un caracter individual.\n", + "\n", + "En algunos archivos de texto, los simbolos pueden tener un significado especial, por ejemplo los archivos con codigo de Python son un tipo de archivos de texto.\n", + "\n", + "Los archivos HTML son otros ejemplos de archivos de texto, aun cuando etiquetas de HTML, como <i> or <div> tengan significados especiales para un navegador de internet, se representan y guardan como texto que puede verse en un editor." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Que *no* hay en un archivo de texto\n", + "\n", + "Archivos binarios como cuyos formatos no estan hechos de caracteres legibles, como JPEGs, GIFs, MP3 o documentos binarios en formatos de Word o PDF *no* son archivos de texto." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "Image(url=\"http://forgifs.com/gallery/d/161206-4/Firefighter-kitten-slides-down-banister.gif?\")" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 2, + "text": [ + "" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "La diferencia principal entre archivos de texto y archivos binarios es que estos ultimos requieren de programas especiales que interpreten el formato. Los archivos de texto pueden editarse con cualquier programa que edita texto y son sencillos para procesar en lenguajes como Python." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Leyendo archivos en Python\n", + "\n", + "Descargen [este archivo](./meses.txt) que contiene los nombres de los meses del a\u00f1o\u00a0\n", + "\n", + " Enero\n", + " Febrero\n", + " Marzo\n", + "\n", + "... etc" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Que hacen las siguiente lineas de codigo?\n", + "\n", + " f = open(\"meses.txt\")\n", + " print(f.read())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### En esta celda escriban su solucion" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 3 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Que esta pasando?\n", + "\n", + "* La funcion `open` crea un objeto de la clase *file* (una forma de acceder los contenidos del archivo), el cual es guardado en la variable`f`." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* `f.read()` le indica al objeto que lea los contenidos completos del archivo, regresando una cadena con este contenido." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Accesando un archivo por partes\n", + "\n", + "`read()` acepta un argumento, el numero maximo de caracteres a leer de un archivo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Cuando `read()` llega al final de archivo, regresa una cadena vacia (cero caracteres, la cadena \"\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pueden decir que hacen las siguientes lineas?\n", + "\n", + " f = open(\"meses.txt\")\n", + " next = f.read(1)\n", + " while siguiente != \"\":\n", + " print(siguiente)\n", + " siguiente = f.read(1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### En esta celda escriban su solucion" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Pregunta\n", + "\n", + "Que hace la instrucci\u00f3n `while` en el c\u00f3digo anterior? En que momento el programa se sale de la recursi\u00f3n?\n", + "\n", + "Piensen en el valor de la variable `siguiente` cada vez que se evalua durante la recursi\u00f3n. Que pasa cuando se llega al final del archivo?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### En esta celda escriban su solucion" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Pregunta \n", + "\n", + "Que pasaria si reemplazan los `read(1)`s en el c\u00f3digo anterior con `read(2)`s? Piensen primero en la respuesta, escriban su idea y despues vean que pasa!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### En esta celda escriban su solucion" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Leyendo el archivo linea por linea\n", + "\n", + "Hasta ahora hemos leido el archivo completo o un numero de caracteres del archivo. Pero, si queremos leer una sola linea del archivo?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Como se representan lineas\n", + "\n", + "En los archivos de texto, las lineas se separan por caracteres no visibles que marcan el *fin de una linea*. Caracteres como estos, no visibles, suelen llamarse de control." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En Python, el caracter de control para el fin de una linea siempre se representa como `\\n`. Siempre que quieran separar una linea pueden usar el caracter `\\n`. Por ejemplo,\n", + "\n", + " print(\"Quiero dos lineas!\\nEl caracter de linea nueva me permite hacerlo.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Produce:\n", + "\n", + " Quiero dos lineas!\n", + " El caracter de linea nueva me permite hacerlo." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Caracteres de control como `\\n` tienen su origen cuando las computadoras tenian interfaces tipo maquinas de escribir. Este tipo de caracteres tenian un significado literal como *Presione la palanca de retorno* o *Presionea el boton de linea de alimentacion*.\n", + "\n", + "\"A" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Basta de maquinas de escribir!\n", + "\n", + "Regresando a los archivos en Python. Para leer una archivo linea por linea podriamos leer caracter por caracter usando `.read(1)`, hasta llegar a un caracter de linea nueva `\\n`.\n", + "\n", + "Hay una manera mas simple de hacer esto, usando el metodo `.readline()` en lugar de `.read()`." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Modifiquemos el ejemplo anterior donde se lee caracter por caracter para que lea el archivo linea por linea." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Copien y ejecuten el codigo anterior" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Tip: en IPython Notebook, podemos copiar el contenido completo de una celda y pegarlo en otra para no tener que reescribir todo el codigo..." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora copien las siguientes lineas de codigo a una celda, observando las diferencias entre el codigo que acaban de copiar y ejecutar:\n", + "\n", + " f = open(\"meses.txt\")\n", + " next = f.readline()\n", + " while next != \"\":\n", + " print(next)\n", + " next = f.readline()" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Es esto lo que esperabamos?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "... `readline()` tambien retorna una nueva linea '\\n' al final de cada linea y `print` automaticamente agrega una nueva linea, resultando en dos nuevas lineas y por lo tanto un espacio o una linea vacia entre cada uno de los contenidos del archivo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos quitar lineas y otros caracteres \"blancos\" del final de una cadena usando el metodo [.strip()](http://docs.python.org/3.3/library/stdtypes.html#str.strip). " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Usemos este metodo para remover los saltos de linea en el codigo anterior:\n", + "\n", + " f = open(\"meses.txt\")\n", + " next = f.readline()\n", + " while next != \"\":\n", + " next = next.strip()\n", + " print(next)\n", + " next = f.readline()" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 8 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Por default, `strip` quita caracteres blancos al final de una cadena, incluyendo el de nuevas lineas `\\n` y espacios tabulares `\\t`. Pueden especificar, por ejemplo solamente remover `\\n`, de la siguiente forma:\n", + "\n", + " next = next.strip(\"\\n\")\n", + " print(next)\n", + " \n", + "Modifiquen el codigo anterior para especificar que solamente quieren remover el caracter `\\n`." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 9 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Leyendo una linea completa\n", + "\n", + "`readline()` nos permite leer un archivo linea por linea, pero hay otras formas mas faciles de leer un archivo:\n", + "\n", + " f = open(\"meses.txt\")\n", + " print(f.readlines())" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['Enero\\n', 'Febrero\\n', 'Marzo\\n', 'Abril\\n', 'Mayo\\n', 'Junio\\n', 'Julio\\n', 'Agosto\\n', 'Septiembre\\n', 'Octubre\\n', 'Noviembre\\n', 'Diciembre']\n" + ] + } + ], + "prompt_number": 10 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "El metodo `readlines()` lee todas las lineas en un archivo y regresa un lista de Python" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos iterar sobre esta lista de la siguiente forma:\n", + "\n", + " f = open(\"months.txt\")\n", + " for month in f.readlines():\n", + " print(\"Month \" + month.strip())" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Mes Enero\n", + "Mes Febrero\n", + "Mes Marzo\n", + "Mes Abril\n", + "Mes Mayo\n", + "Mes Junio\n", + "Mes Julio\n", + "Mes Agosto\n", + "Mes Septiembre\n", + "Mes Octubre\n", + "Mes Noviembre\n", + "Mes Diciembre\n" + ] + } + ], + "prompt_number": 12 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "De hecho, no es necesario hacer un llamado a `readlines()` - Python asume que si quieren iterar un archivo usando un `for`, probablemente quieren hacerlo linea por linea:\n", + "\n", + " f = open(\"months.txt\")\n", + " for month in f:\n", + " print(\"Month \" + month.strip())" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Mes Enero\n", + "Mes Febrero\n", + "Mes Marzo\n", + "Mes Abril\n", + "Mes Mayo\n", + "Mes Junio\n", + "Mes Julio\n", + "Mes Agosto\n", + "Mes Septiembre\n", + "Mes Octubre\n", + "Mes Noviembre\n", + "Mes Diciembre\n" + ] + } + ], + "prompt_number": 13 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Escribiendo archivos\n", + "\n", + "Cuando \"abren\" un archivo usando `open()`, pueden especificar el *modo*, es decir pueden indicarle a Python que es lo que quieren hacer con el archivo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "El modo por default es `r`, por \"read\" en ingles; otro modo es `w` por \"write\", que permite escribir al archivo\n", + "\n", + " f = open(\"archivonuevogenial.txt\", \"w\")" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Tip: el modo \"write\" (`w`) escribira por completo los contenidos en el archivo, borrando todo lo que tenian previamente!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Existen muchisimos modos de abrir un archivo, `r` y `w` son de los mas comunes. La [lista completa esta en la documentacion](http://docs.python.org/3/library/functions.html#open) o la pueden consultar escribiendo `open?` en IPython Notebook y ejecutando la celda." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejemplo\n", + "Escribir una cadena a un archivo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Los objetos que representan archivos tienen metodos para escribir. Pueden revisar la ayuda correspondiente al objeto para darse una idea." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En IPython Notebook pueden escribir:\n", + "\n", + " f = open(\"archivonuevogenial.txt\", \"w\")\n", + " f?" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 15 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Tambien pueden escribir `f.` en una celda de IPython Notebook y presionar la tecla \"Tab\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Esto mostrara una lista de posibles comandos (solo sirve si ya se ha asignado el valor a \"f\", es decir si han ejecutado la celda)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Cerrando archivos\n", + "\n", + "Al terminar de escribir en un archivo, este debe cerrarese con `close()`. Esta es una buena practica, y cambios en el archivo podrian no verse reflejados hasta que ha sido cerrado.\n", + "\n", + "Tambien es una buen practica cerrar los archivos, usando `close()`, despues de abrirlos para leer su contenido." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Usando los metodos descritos hasta el momento, pueden:\n", + "\n", + "1. Abrir un archivo en modo de escritura,\n", + "2. Escribir un mensaje en el archivo, Que metodo debemos usar para esto?\n", + "3. cerrar el archivo?" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 14 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Observen que para escribir el texto en el archivo usamos `write()`. El objeto `f` de la clase `file` tiene este metodo en lugar de `print()`." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Hay una diferencia importante entre print y write**, `print()` automaticamente agrega un salto de linea. `write()` no, si quieren agregarlos deben escribirlo explicitamnte usando `\\n`." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Ejercicio\n", + "Escriban un program para crear un archivo con dos lineas de texto." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Nota\n", + "\n", + "Para ver el contenido de un archivo de texto, pueden abrirlo con su editor de texto favorito." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Alternativamente, si usan Linux o OSX pueden escribir `cat ` en una terminal para ver los contenidos del archivo. En una terminal de Windows pueden usar `type ` para hacer los mismo. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Mejor aun, pueden usar las capacidades de IPython Notebook para ver el archivo en una celda, recuerdan como?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Ejercicio\n", + "Primero escriban un archivo de puro texto que contenga al menos 7 lineas con cadenas de texto aleatorias. Pueden usar su editor de textos favorito o cualquier otro comando que sepan." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Escriban un programa en Python que haga lo siguiente:\n", + "\n", + "1. Lea todas las lineas del archivo de texto y las asigne a una lista.\n", + "2. Agrege al final de cada linea la frase \" Pa' su mecha\" o cualquier otra frase original y divertida. \n", + "3. Escriba todas las lineas en esta lista recien creada en un archivo diferente." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Recuerden que si usan `write()` tienen que escribir la linea ustedes usando `\\n`, mientras que `print()` agrega una linea nueva." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Si no saben como comenzar, un forma de hacerlo es modificar una de las soluciones de los ejercicios previos. Si se encuentran atorados, preguntenle a su vecino y si despues de esto siguen atorados, preguntenme a mi." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 3 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Modulo siguiente:\n", + "Antes de pasar al siguiente modulo, guarden los cambios realizados.\n", + "\n", + "A partir del siguiente modulo comenzaremos nuestro estudio de procesamiento de datos. Primero lo haremos a partir de datos en forma de texto tomados de un archivo. Antes de esto, hagan las libretas con ejercicios para reforzar lo aprendido.\n", + "\n", + "* [Ejercicios 1](../Dia2/Lib05_Ejercicios01.ipynb)\n", + "2. [Ejercicios 2](../Dia2/Lib05_Ejercicios02.ipynb)\n", + "2. [Ejercicios 3](../Dia2/Lib05_Ejercicios03.ipynb)\n", + "2. [Ejercicios 4](../Dia2/Lib05_Ejercicios04.ipynb)\n" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia2/notebooks/Tutoriales/Lib05_Tutorial_Ejercicios01.ipynb b/Dia2/notebooks/Tutoriales/Lib05_Tutorial_Ejercicios01.ipynb new file mode 100644 index 0000000..31ec258 --- /dev/null +++ b/Dia2/notebooks/Tutoriales/Lib05_Tutorial_Ejercicios01.ipynb @@ -0,0 +1,1918 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%run ../talktools.py" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ejercicios 1\n", + "========================\n", + "\n", + "Los ejercicios que se presentan en las siguientes libretas pueden se utiles para adquirir o reforzar los conocimientos esenciales del uso de IPython como un ambiente de desarrollo interactivo y eficiente." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "La forma de realizar los ejercicios es de manera interactiva. Pueden unicamente ejecutar cada celda y observar lo que ocurre. Sin embargo, la mejor forma de realmente aprender y adquirir los conocimientos es que ustedes mismos re-escriban cada uno de los ejercicios en una libreta nueva. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Esta primera libreta de ejercicios les servira para practicar con algunos fundamentales de programacion en el lenguaje Python y el uso de las IPython Notebook." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Python como calculadora\n", + "Empecemos con aritmética simple..." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "4" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "2 + 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "4.5" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "2.0 + 2.5" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Si suman un entero con un decimal obtendrán un?" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "4.5" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "2 + 2.5" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Cadenas de texto\n", + "Ahora vamos a crear algunas cadenas de texto de diferentes maneras:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "hello\n" + ] + } + ], + "source": [ + "s = 'hola clase'\n", + "print s" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "hello\n" + ] + } + ], + "source": [ + "s = \"hola clase\"\n", + "print s" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pueden usarse comillas sencillas o comillas dobles para crear cadenas de texto. Tambien pueden crearse cadenas multi-lineas con espacios en blanco o incluso saltos de linea:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'hola\\nclase'" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s = \"\"\"hola\n", + "clase\"\"\"\n", + "s" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "hola\n", + "clase\n" + ] + } + ], + "source": [ + "print s" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora vamos a concatenar cadenas de texto y vamos a ver los indices de caracteres específicos. Indices negativos cuentan a partir del final de la cadena." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'hola clase'" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s = \"hola \" + 'clase'\n", + "s" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "str" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(s)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'h'" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'e'" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s[-1]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'ol'" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s[1:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'hol'" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'ase'" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s[-3:]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "10" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(s)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['hola', 'clase']" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s.split()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Listas\n", + "En Python es muy sencillo crear listas, que pueden contener cualquier tipo de objeto. Podemos enumerarlas, concatenarlas, encontrar su longitud (numero de elementos), etc." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[1, 2.0, 3, 'clase']" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "l = [1, 2.0, 3, 'clase']\n", + "l" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "list" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(l)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[1, 2.0, 3, 'clase', 1, 2.0, 3, 'clase']" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "l + l" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "l[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'clase'" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "l[-1]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "4" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(l)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Tambien podemos agregar nuevas cosas al final de una lista existente:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[1, 2.0, 3, 'clase', 'profe']" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "l.append('profe')\n", + "l" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Conjuntos (set)\n", + "Python contiene una estructura de datos tipo conjuntos que puede crearse usando brackets:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{1, 2, 3, 4}" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a = {1, 2, 3, 4}\n", + "a" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "set" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(a)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{2, 3, 4, 5}" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "b = {2, 3, 4, 5}\n", + "b" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{1, 2, 3, 4}" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a.add(1)\n", + "a" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{2, 3, 4}" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a & b" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{1, 2, 3, 4, 5}" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a | b" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{1, 5}" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a ^ b" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Diccionarios\n", + "Los diccionarios son pares de valores con una llave. Las llaves con 'inmutables' es decir no pueden cambiar:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'gatos': 4, 'perros': 5}" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d = {'perros':5, 'gatos':4}\n", + "d" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "dict" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(d)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "2" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(d)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "5" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d['perros']" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'gatos': 4, 'perros': 7}" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d['perros'] += 2\n", + "d" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'cerdos': 3, 'gatos': 4, 'perros': 7}" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d['cerdos'] = 3\n", + "d" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos ver cuales son las llaves y/o los valores (elementos) del diccionario:" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['cerdos', 'gatos', 'perros']" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[('cerdos', 3), ('gatos', 4), ('perros', 7)]" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d.items()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[3, 4, 7]" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d.values()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Libreria `numpy`\n", + "El paquete `NumPy` proporciona types de arreglos que son útiles para cálculos numéricos. En este curso no veremos los detalles de este paquete, pero lo estaremos usando implicitamente." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([1, 2, 3, 4])" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from numpy import array\n", + "a = array([1, 2, 3, 4])\n", + "a" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([3, 4, 5, 6])" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a + 2" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([2, 4, 6, 8])" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a + a" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Libreria `matplotlib`\n", + "Existen librerias para graficar los valores en un arreglo de manera muy simple. A continuación graficamos los valores cuadrados de `a` contra `a**2`.\n", + "\n", + "(La instrucción `%matplotlib inline` es necesaria si queremos ver las gráficas embebidas en la libreta)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib.pyplot import plot\n", + "%matplotlib inline\n", + "plot(a, a**2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Iteraciones en Python\n", + "Exploremos algunas construcciones más complejas, por ejemplo usando bucles (loops):" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['1', '2', '3', '4', '5']" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "linea = '1 2 3 4 5'\n", + "campos = linea.split()\n", + "campos" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "15" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "total = 0\n", + "for campo in campos:\n", + " total += int(campo)\n", + "total" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\"list comprehension\" es una forma compacta de escribir loops en Python:" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[1, 2, 3, 4, 5]" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "numeros = [int(campo) for campo in campos]\n", + "numeros" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "15" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(numeros)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos obtener lo mismo con una notación mas compacta:" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "15" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum([int(campo) for campo in campos])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Incluso podemos reemplazar la variable por la lista:" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "15" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum([int(campo) for campo in linea.split()])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Noten que al hacer mas y mas compacta la estructura, se vuelve un poco mas dificil de leer." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Archivos" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora vamos a trabajar un poco con archivos. Aprovecharemos que IPython Notebook nos da un acceso transparente al SO.\n", + "Comenzaremos creando un directorio:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/home/htapia\n" + ] + } + ], + "source": [ + "cd ~" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "mkdir demo_temp" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/home/htapia/demo_temp\n" + ] + } + ], + "source": [ + "cd demo_temp" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora crearemos un archivo y escribiremos algunas lineas en el:" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "file = open('data.txt', 'w')\n", + "file.write('1 2 3 4\\n')\n", + "file.write('2 3 4 5\\n')\n", + "file.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora (re)abrimos el archivo y procesamos la informacion que contiene:" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[[1, 2, 3, 4], [2, 3, 4, 5]]" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "file = open('data.txt')\n", + "data = []\n", + "for linea in file:\n", + " data.append([int(field) for field in linea.split()])\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1, 2, 3, 4]\n", + "[2, 3, 4, 5]\n" + ] + } + ], + "source": [ + "for renglon in data:\n", + " print renglon" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora cerramos el archivo (recuerden que es buena practica hacerlo)." + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "file.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora lo borraremos del sistema de archivos" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import os\n", + "os.remove('data.txt')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Borramos tambien el directorio creado previamente" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "C:\\Users\\mkness\n" + ] + } + ], + "source": [ + "cd .." + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "os.rmdir('demo_temp')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Funciones\n", + "Definamos algunas funciones para evaluar polinomios:" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def poly(x, a, b, c):\n", + " y = a*x**2 + b*x + c\n", + " return y" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "6" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x = 1\n", + "poly(x, 1, 2, 3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos tambien pasar un arreglo de numeros creados con `numpy` como argumento:" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 6, 11, 18])" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x = array([1, 2, 3])\n", + "poly(x, 1, 2, 3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Ahora ustedes:\n", + "Evaluen el polinomio para un arreglo de numpy con 10 elementos, `[0,1,...,10]`, y grafiquen el resultado." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Escriban y ejecuten el codigo en esta celda" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos especificar argumentos en la funcion. Modifiquen la funcion `poly` de la siguiente manera:" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def poly(x, a=1, b=2, c=3):\n", + " y = a*x**2 + b*x + c\n", + " return y" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Que pasara cuando ejecuten `poly(x)`?\n", + "\n", + "Y cuando ejecuten `poly(x, b=5)`?\n", + "\n", + "#### Escriban su respuesta debajo de esta linea y despues ejecuten los comandos" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Modulos\n", + "Python incluye una enorme cantidad de modulos. Por ejemplo el modulo `os` que da acceso a informacion del SO. Otros modulos son `sys`, `re`, `glob`, etc." + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "297060" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import os\n", + "os.getpid()" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'\\\\'" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.sep" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Clases\n", + "Hagamos una clase. En Python, toda clase debe derivarse de un objeto. Nuestra clase describira una persona, con nombre y edad. Debemos dar un constructor y un metodo." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "class Persona(object):\n", + " def __init__(self, nombre, apellido1, apellido2, edad):\n", + " self.nombre = nombre\n", + " self.apellido1 = apellido1\n", + " self.apellido2 = apellido2\n", + " self.edad = edad\n", + " \n", + " def nombre_completo(self):\n", + " return self.nombre + ' ' + self.apellido1 + ' ' + self.apellido2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora podemos crear una instancia de `Persona` y trabajar con los atributos de la clase:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'Juan'" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "persona = Persona('Juan', 'Perez', 'Lopez', 31)\n", + "persona.nombre" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'Perez'" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "persona.apellido1" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'Juan Perez Lopez'" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "persona.nombre_completo()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "persona.apellido2 = 'Ramirez'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En Python podemos agregar nuevos atributos interactivamente aun cuando no se hayan definido:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'cerdos': 3, 'gatos': 4, 'perros': 7}" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "persona.mascotas = d\n", + "persona.mascotas" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Accediendo datos remotos\n", + "Ahora usaremos modulos para obtener informacion de paginas web. En este ejemplo bajaremos datos de Yahoo Finance, el precio historico de acciones en el mercado de General Electric." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "url = 'http://ichart.finance.yahoo.com/table.csv?s=GE&d=10&e=5&f=2013&g=d&a=0&b=2&c=1962&ignore=.csv'" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[['Date', 'Open', 'High', 'Low', 'Close', 'Volume', 'Adj Close\\n'],\n", + " ['2013-11-05', '26.32', '26.52', '26.26', '26.42', '24897500', '25.55\\n'],\n", + " ['2013-11-04', '26.59', '26.59', '26.31', '26.43', '28166100', '25.56\\n'],\n", + " ['2013-11-01', '26.05', '26.64', '26.03', '26.54', '55634500', '25.67\\n']]" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import urllib2\n", + "ge_csv = urllib2.urlopen(url)\n", + "data = []\n", + "for line in ge_csv:\n", + " data.append(line.split(','))\n", + "data[:4]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Usemos nuevamente `pandas` para ver la serie de tiempo de estos datos" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ge_csv = urllib2.urlopen(url)\n", + "import pandas\n", + "ge = pandas.read_csv(ge_csv, index_col=0, parse_dates=True)\n", + "ge.plot(y='Adj Close')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Siguiente modulo de ejercicios\n", + "\n", + "Antes de continuar con los siguiente ejercicios, recuerden guardar los cambios hechos en su libreta.\n", + "\n", + "* [Ejercicios 2](../Dia2/Lib06_Ejercicios02.ipynb)\n", + "2. [Ejercicios 3](../Dia2/Lib07_Ejercicios03.ipynb)\n", + "2. [Ejercicios 4](../Dia2/Lib08_Ejercicios04.ipynb)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia2/notebooks/Tutoriales/Lib06_Tutorial_Ejercicios02.ipynb b/Dia2/notebooks/Tutoriales/Lib06_Tutorial_Ejercicios02.ipynb new file mode 100644 index 0000000..9b2b3d4 --- /dev/null +++ b/Dia2/notebooks/Tutoriales/Lib06_Tutorial_Ejercicios02.ipynb @@ -0,0 +1,924 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:dfad4465ad39b3f4d6221ace695741373399ead001612d2f66b61abb8db65219" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ejercicios 2\n", + "========================\n", + "\n", + "Realizar todos los ejercicios de esta (y todas) las libretas les ayudara a adquirir los conocimientos esenciales del uso de IPython como un ambiente de desarrollo interactivo y eficiente. Tambien, les recuerdo que la resolucion y entrega en tiempo y forma de todas estas actividades son parte esencial de la calificacion de este curso." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En esta libreta de ejercicios trabajaremos con cadenas de texto, mas ejemplos de estructuras de datos en Python, funciones, modulos y clases." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Cadenas\n", + "Contar el n\u00famero de caracteres (ncluyendo espacios) en un texto:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "len('No le creas nada a mi mente dise\u00f1ada por los medios')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 1, + "text": [ + "52" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Remueve espacios en blanco rodeando la cadena:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "' No le creas nada a mi mente '.strip()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 4, + "text": [ + "'No le creas nada a mi mente'" + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Reemplaza caracteres:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "'No le creas nada a mi mente dise\u00f1ada por los medios'.replace('nada','mucho')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 5, + "text": [ + "'No le creas mucho a mi mente dise\\xc3\\xb1ada por los medios'" + ] + } + ], + "prompt_number": 5 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Usando formato en la cadena de texto:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "'Hay %s que se cierran pero se destacan' % 'ciatrices'" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 6, + "text": [ + "'Hay ciatrices que se cierran pero se destacan'" + ] + } + ], + "prompt_number": 6 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Probando caracteres:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "'Hay demasiadas formas de morir.'.startswith('H')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 10, + "text": [ + "True" + ] + } + ], + "prompt_number": 10 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Contando ocurrencias de caracteres:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "'para terminar ba\u00f1\u00e1ndonos en la azotea '.count('en')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 12, + "text": [ + "1" + ] + } + ], + "prompt_number": 12 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Listas\n", + "Podemos unir una lista y formar una cadena de texto:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "' ;) '.join([\n", + " 'Bienvenidos al curso de RySi 2014', \n", + " 'donde aprender\u00e1n a usar un poco de Python',\n", + "])" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 13, + "text": [ + "'Bienvenidos al curso de RySi 2014 ;) donde aprender\\xc3\\xa1n a usar un poco de Python'" + ] + } + ], + "prompt_number": 13 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Separar una cadena en una lista:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "'las piernas cruzadas, las manos en el regazo'.split(', ')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 16, + "text": [ + "['las piernas cruzadas', 'las manos en el regazo']" + ] + } + ], + "prompt_number": 16 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Hacer una lista a partir de otra lista:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "palabras = 'No soy en ello diferente a la mayor parte de los seres humanos'.split()\n", + "['*%s*' % x for x in palabras]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 22, + "text": [ + "['*No*',\n", + " '*soy*',\n", + " '*en*',\n", + " '*ello*',\n", + " '*diferente*',\n", + " '*a*',\n", + " '*la*',\n", + " '*mayor*',\n", + " '*parte*',\n", + " '*de*',\n", + " '*los*',\n", + " '*seres*',\n", + " '*humanos*']" + ] + } + ], + "prompt_number": 22 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Ejercicio\n", + "Obtengan el n\u00famero de caracteres de cada palabra en la lista anterior:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escribir soluci\u00f3n en \u00e9sta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Diccionarios\n", + "Creamos un dictionario con nombres de estados de la Rep\u00fablica:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "codigoPorEstado = {'Aguascalientes': 'AGU', \n", + " 'Sonora': 'SON', \n", + " 'Oaxaca': 'OAX', \n", + " 'Veracruz': 'VER'}\n", + "codigoPorEstado" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 15, + "text": [ + "{'Aguascalientes': 'AGU', 'Oaxaca': 'OAX', 'Sonora': 'SON', 'Veracruz': 'VER'}" + ] + } + ], + "prompt_number": 15 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "codigoPorEstado.keys()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 16, + "text": [ + "['Veracruz', 'Oaxaca', 'Aguascalientes', 'Sonora']" + ] + } + ], + "prompt_number": 16 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "codigoPorEstado['Jalisco'] = 'JAL'\n", + "codigoPorEstado" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 17, + "text": [ + "{'Aguascalientes': 'AGU',\n", + " 'Jalisco': 'JAL',\n", + " 'Oaxaca': 'OAX',\n", + " 'Sonora': 'SON',\n", + " 'Veracruz': 'VER'}" + ] + } + ], + "prompt_number": 17 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "codigoPorEstado['Veracruz']" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 18, + "text": [ + "'VER'" + ] + } + ], + "prompt_number": 18 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###Ejercicio\n", + "Hacer un diccionario de estados por codigos" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escribir soluci\u00f3n en \u00e9sta celda\n", + "\n", + "estadoPorCodigo = {codigo: estado for estado, codigo in codigoPorEstado.iteritems()}\n", + "estadoPorCodigo" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 20, + "text": [ + "{'AGU': 'Aguascalientes',\n", + " 'JAL': 'Jalisco',\n", + " 'OAX': 'Oaxaca',\n", + " 'SON': 'Sonora',\n", + " 'VER': 'Veracruz'}" + ] + } + ], + "prompt_number": 20 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Funciones\n", + "\n", + "Definimos una funci\u00f3n" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def suma(x,y):\n", + " return x + y\n", + "\n", + "suma(1,2)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 24, + "text": [ + "3" + ] + } + ], + "prompt_number": 24 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "multiplica = lambda x,y: x*y\n", + "multiplica(1,2)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 25, + "text": [ + "2" + ] + } + ], + "prompt_number": 25 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos hacer una lista de funciones:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "metodos = [suma, multiplica]\n", + "metodos" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 26, + "text": [ + "[, >]" + ] + } + ], + "prompt_number": 26 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import random\n", + "for x in xrange(5):\n", + " combina = random.choice(metodos)\n", + " print combina(4,5)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "20\n", + "20\n", + "9\n", + "20\n", + "9\n" + ] + } + ], + "prompt_number": 27 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Definimos una funci\u00f3n que enlista los enlaces en una p\u00e1gina web:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from bs4 import BeautifulSoup\n", + "from urllib2 import urlopen\n", + "\n", + "def get_enlaces(url):\n", + " html = urlopen(url).read()\n", + " enlaces = BeautifulSoup(html).find_all('a')\n", + " return [enlace.get('href') for enlace in enlaces]" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 29 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Veamos los primeros 5 enlaces en [el sitio de LANIA](http://lania.mx):" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "get_enlaces('http://www.lania.mx/')[:5]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 35, + "text": [ + "['/index.php?option=com_content&view=article&id=6&Itemid=20',\n", + " '/index.php?option=com_content&view=article&id=14&Itemid=12',\n", + " '/index.php?option=com_content&view=article&id=45&Itemid=32',\n", + " '/index.php?option=com_content&view=article&id=18&Itemid=15',\n", + " '/index.php?option=com_content&view=article&id=13&Itemid=16']" + ] + } + ], + "prompt_number": 35 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En [Google](http://google.com):" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "get_enlaces('http://google.com')[:5]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 36, + "text": [ + "['http://www.google.com.mx/imghp?hl=es-419&tab=wi',\n", + " 'https://play.google.com/?hl=es-419&tab=w8',\n", + " 'http://mx.youtube.com/?gl=MX&tab=w1',\n", + " 'http://news.google.com.mx/nwshp?hl=es-419&tab=wn',\n", + " 'https://mail.google.com/mail/?tab=wm']" + ] + } + ], + "prompt_number": 36 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###Ejercicio\n", + "\n", + "Contar el n\u00famero total de enlaces en una p\u00e1gina web" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escribir soluci\u00f3n en \u00e9sta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 37 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Clases\n", + "Las clases pueden contener variables y m\u00e9todos:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "class Animal(object):\n", + " \n", + " def __init__(self, nombre):\n", + " self.nombre = nombre\n", + " self.estomago = []\n", + " \n", + " def __repr__(self):\n", + " return self.nombre\n", + " \n", + " def pregunta(self):\n", + " return '%s esta %s' % (self.nombre, 'lleno' if self.estomago else 'hambriento')\n", + " \n", + " def come(self, comida):\n", + " if comida in self.estomago:\n", + " print '%s ya comio %s' % (self.nombre, comida)\n", + " else:\n", + " print '%s come %s!' %(self.nombre, comida)\n", + " self.estomago.append(comida)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 52 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "tortuga = Animal('Donatello')\n", + "gato = Animal('Gardfield')\n", + "bestia = Animal('Chupacabras')" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 53 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "bestia.nombre" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 54, + "text": [ + "'Chupacabras'" + ] + } + ], + "prompt_number": 54 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "bestia.pregunta()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 55, + "text": [ + "'Chupacabras esta hambriento'" + ] + } + ], + "prompt_number": 55 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "bestia.come(gato)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Chupacabras come Gardfield!\n" + ] + } + ], + "prompt_number": 56 + }, + { + "cell_type": "code", + "collapsed": true, + "input": [ + "gato in bestia.estomago" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 57, + "text": [ + "True" + ] + } + ], + "prompt_number": 57 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "tortuga in gato.estomago" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 58, + "text": [ + "False" + ] + } + ], + "prompt_number": 58 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Palabra reservadas" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "palabras = 'porque las abejas hacen miel'.split()\n", + "\n", + "for index, palabra in enumerate(palabras):\n", + " print index, palabra" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "0 porque\n", + "1 las\n", + "2 abejas\n", + "3 hacen\n", + "4 miel\n" + ] + } + ], + "prompt_number": 59 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "chicos='Pepe','Tomas','Alberto'\n", + "chicas='Sandra','Esperanza','Rebeca'\n", + "zip(chicos,chicas)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 62, + "text": [ + "[('Pepe', 'Sandra'), ('Tomas', 'Esperanza'), ('Alberto', 'Rebeca')]" + ] + } + ], + "prompt_number": 62 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###Ejercicio\n", + "Explicar que hace la siguiente funci\u00f3n:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from __builtin__ import any\n", + "\n", + "def pasos_a_caminar():\n", + " print 'inicio'\n", + " for i in xrange(10):\n", + " yield i\n", + " print 'fin'\n", + "\n", + "# any() detiene el flujo tan pronto se cumpla la condicion\n", + "print any(x > 5 for x in pasos_a_caminar())\n", + "print\n", + "print any(x > 10 for x in pasos_a_caminar())" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "inicio\n", + "True\n", + "\n", + "inicio\n", + "fin\n", + "False\n" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Siguiente modulo de ejercicios\n", + "\n", + "Antes de continuar con los siguiente ejercicios, recuerden guardar los cambios hechos en su libreta.\n", + "\n", + "* [Ejercicios 3](../Dia2/Lib07_Ejercicios03.ipynb)\n", + "2. [Ejercicios 4](../Dia2/Lib08_Ejercicios04.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia2/notebooks/Tutoriales/Lib07_Tutorial_Ejercicios03.ipynb b/Dia2/notebooks/Tutoriales/Lib07_Tutorial_Ejercicios03.ipynb new file mode 100644 index 0000000..78c9e25 --- /dev/null +++ b/Dia2/notebooks/Tutoriales/Lib07_Tutorial_Ejercicios03.ipynb @@ -0,0 +1,4480 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:ceed3d264422308dff9c82fbc7b61d82163491fa8d1273adc59aa96fb0cadea8" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Introducci\u00f3n a la programaci\u00f3n en Python\n", + "\n", + "En esta sesi\u00f3n daremos una r\u00e1pida introducci\u00f3n a los b\u00e1sicos del lenguaje de programaci\u00f3n Python. No se preocupen si se sienten perdidos en la selva de \u00e9sta presentaci\u00f3n, tendremos oportunidad de dicutir mas a detalle durante las pr\u00f3ximas sesiones.\n", + "\n", + "Al finalizar esta presentaci\u00f3n ustedes har\u00e1n un tour interactivo de Python, asi mismo, pueden acceder a esta libreta y volver a revisarla e interactuar con ella cuantas veces deseen.\n", + "\n", + "El contenido de esta libreta esta basado en [Scientific Python Lectures](http://github.com/jrjohansson/scientific-python-lectures) de J.R. Johansson." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Archivos de programas \n", + "\n", + "* C\u00f3digo en Python se guarda en archivos de texto con extensi\u00f3n `.py`:\n", + "\n", + " miprograma.py\n", + "\n", + "* Cada l\u00ednea en un programa de Python es una declaraci\u00f3n o parte de ella. \n", + "\n", + " * La \u00fanica excepci\u00f3n son las l\u00edneas comentadas, que empiezan con el caracter `#` - \u00e9stas l\u00edneas son ignoradas por el int\u00e9rprete de Python.\n", + "\n", + "* Para ejecutar un programa en Python de la linea de comando escribimos:\n", + "\n", + " $ python miprograma.py\n", + "\n", + "* En SO UNIX suele definirse la ruta del int\u00e9rprete en la primera l\u00ednea del programa:\n", + "\n", + " #!/usr/bin/env python\n", + "\n", + " Si adem\u00e1s, el archivo es ejecutable, puede correrse el programa de la siguiente forma:\n", + " $ miprograma.py\n", + "\n", + "#### Ejemplo:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%file hola_clase.py\n", + "\n", + "#!/usr/bin/env python\n", + "\n", + "print 'hola clase'\n", + "print(\"Buenos d\u00edas clase!\")" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Writing hola_clase.py\n" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "!python hola_clase.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + " File \"hola_clase.py\", line 5\r\n", + "SyntaxError: Non-ASCII character '\\xc3' in file hola_clase.py on line 5, but no encoding declared; see http://python.org/dev/peps/pep-0263/ for details\r\n" + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "cat scripts/hello-world.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "#!/usr/bin/env python\r\n", + "\r\n", + "print(\"Hello world!\")\r\n" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "!python scripts/hello-world.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Hello world!\r\n" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "### Codificaci\u00f3n de caracteres\n", + "\n", + "El standard es ASCII, pero puede usarse cualquier otra codificaci\u00f3n, por ejemplo UTF-8. Para especificar que se usar\u00e1 UTF-8, incluimos una l\u00ednea especial:\n", + "\n", + " # -*- coding: UTF-8 -*-\n", + "\n", + "aal principio del programa" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%file hola_clase_espa.py\n", + "#!/usr/bin/env python\n", + "# -*- coding: UTF-8 -*-\n", + "\n", + "print \"Buenos d\u00edas clase!\"" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Writing hola_clase_espa.py\n" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "!python hola_clase_espa.py" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Buenos d\u00edas clase!\r\n" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "No se requiere ningun otro tipo de c\u00f3digo adicional para inicializar un programa en Python." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Libretas IPython (notebooks)\n", + "\n", + "Este archivo es una libreta de IPython - IPython notebook - y no sigue el est\u00e1ndard que hemos descrito. Una libreta de IPython se guarda en el formato [JSON](http://en.wikipedia.org/wiki/JSON). La ventaja es que de \u00e9sta manera puede mezclarse texto con formato, c\u00f3digo de entrada, c\u00f3digo de salida, scripts, etc. Para poder ver \u00e9stos archivos se requiere el servidor de IPython notebook, y por lo tanto no es un programa de Python solamente. Fuera de eso, no hay diferencia entre el c\u00f3digo de Python que puede escribirse en un archivo de programa o en una libreta." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## M\u00f3dulos\n", + "\n", + "La mayor parte de la funcionalidad en Python es a trav\u00e9s de *m\u00f3dulos*. La librer\u00eda est\u00e1ndard de Python, __Python Standard Library__, es una colleci\u00f3n grande de m\u00f3dulos que implementa diversas operaciones com\u00fanes, por ejemplo acceso al SO, operaciones de I/O, manipulaci\u00f3n de cadenas y arreglos, comunicaci\u00f3n entre redes, etc. Estas operaciones son multi-plataforma.\n", + "\n", + "### Referencias\n", + " \n", + " * El lenguaje Python: https://wiki.python.org/moin/SpanishLanguage\n", + " * Tutorial/documentaci\u00f3n de Python: http://docs.python.org.ar/tutorial/2/contenido.html\n", + " * La libreria est\u00e1ndard de Python (Python Standard Library, *ingl\u00e9s*): http://docs.python.org/2/library/\n", + "\n", + "Para usar un m\u00f3dulo en un programa de Python, primero se tiene que _importar_. Un m\u00f3dulo se importa usando la declaraci\u00f3n `import`, seguida del nombre del m\u00f3dulo, por ejemplo\n", + "\n", + " `import math`\n", + " \n", + "carga el contenido del m\u00f3dulo `math`, que contiene muchas de las funciones matem\u00e1ricas est\u00e1ndard:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import math" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [], + "prompt_number": 6 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Esto incluye el m\u00f3dulo completo, y lo hace accesible para ser usado en el programa. Por ejemplo," + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import math\n", + "\n", + "x = math.cos(2 * math.pi)\n", + "\n", + "print(x)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "1.0\n" + ] + } + ], + "prompt_number": 7 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Alternativamente, pueden importarse todos los s\u00edmbolos (funciones y variables) de un m\u00f3dulo, de modo que no se tiene que usar el prefijo `math.` cada vez que se quiera usar algo del m\u00f3dulo `math`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from math import *\n", + "\n", + "x = cos(2 * pi)\n", + "\n", + "print(x)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "1.0\n" + ] + } + ], + "prompt_number": 8 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Esta forma de invocar m\u00f3dulos puede ser muy \u00fatil, pero en programas grandes incluyen muchos m\u00f3dulos, es recomendable mantener los s\u00edmbolos de cada m\u00f3dulo en su propio espacio, usando el patr\u00f3n `import math`. Esto permite evitar problemas con nombres y s\u00edmbolos de distintos m\u00f3dulos.\n", + "\n", + "Una tercera alternativa es importar solamente algunos s\u00edmbolos del m\u00f3dulo, enlistando expl\u00edcitamente aqu\u00e9llos que desean usarse, en el lugar de `*`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from math import cos, pi\n", + "\n", + "x = cos(2 * pi)\n", + "\n", + "print(x)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "1.0\n" + ] + } + ], + "prompt_number": 9 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "### Contenido de un m\u00f3dulo y documentaci\u00f3n\n", + "\n", + "Una vez importado, podemos enlistar los s\u00edmbolos de un m\u00f3dulo usando la funci\u00f3n `dir`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import math\n", + "\n", + "print(dir(math))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['__doc__', '__loader__', '__name__', '__package__', 'acos', 'acosh', 'asin', 'asinh', 'atan', 'atan2', 'atanh', 'ceil', 'copysign', 'cos', 'cosh', 'degrees', 'e', 'erf', 'erfc', 'exp', 'expm1', 'fabs', 'factorial', 'floor', 'fmod', 'frexp', 'fsum', 'gamma', 'hypot', 'isfinite', 'isinf', 'isnan', 'ldexp', 'lgamma', 'log', 'log10', 'log1p', 'log2', 'modf', 'pi', 'pow', 'radians', 'sin', 'sinh', 'sqrt', 'tan', 'tanh', 'trunc']\n" + ] + } + ], + "prompt_number": 10 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Por medio de la funci\u00f3n `help` podemos obtener la descripci\u00f3n de cada funci\u00f3n en el m\u00f3dulo, al menos de aqu\u00e9llas que tienen _docstrings_, como se les llama t\u00e9cnicamente." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "help(math.log)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Help on built-in function log in module math:\n", + "\n", + "log(...)\n", + " log(x[, base])\n", + " \n", + " Return the logarithm of x to the given base.\n", + " If the base not specified, returns the natural logarithm (base e) of x.\n", + "\n" + ] + } + ], + "prompt_number": 11 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "log(10)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 12, + "text": [ + "2.302585092994046" + ] + } + ], + "prompt_number": 12 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "log(10, 2)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 13, + "text": [ + "3.3219280948873626" + ] + } + ], + "prompt_number": 13 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Tambi\u00e9n puede usarse la funci\u00f3n `help` directamente en m\u00f3dulos. Por ejemplo:\n", + "\n", + " help(math) \n", + "\n", + "Algunos m\u00f3dulos \u00fatiles de la librer\u00eda est\u00e1ndard de Python son `os`, `sys`, `math`, `shutil`, `re`, `subprocess`, `multiprocessing`, `threading`. \n", + "\n", + "Una lista completa de los m\u00f3dulos de la librer\u00eda est\u00e1ndard de Python 2 est\u00e1 disponible en http://docs.python.org/2/library/ (ingl\u00e9s)." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Variables y tipos\n", + "\n", + "### Nombres de s\u00edmbolos\n", + "\n", + "En Python las variables pueden nombrarse usando caracteres alfanum\u00e9ricos `a-z`, `A-Z`, `0-9` y algunos otros caracteres especiales como `_`. Los nombres de variables deben comenzar con una letra.\n", + "\n", + "Por convenci\u00f3n, los nombres de variables empiezan con una letra min\u00fascula, y los nombres de Clases con may\u00fascula.\n", + "\n", + "En Python existen algunas palabras reservadas que no pueden usarse como variables. Estas son:\n", + "\n", + " and, as, assert, break, class, continue, def, del, elif, else, except, \n", + " exec, finally, for, from, global, if, import, in, is, lambda, not, or,\n", + " pass, print, raise, return, try, while, with, yield\n", + "\n", + "### Asignando valores a variables\n", + "\n", + "En Python el operador que asigna valores a las variables es `=`. Python es un lenguaje con tipado din\u00e1mico, por lo que no es necesario especificar el tipo de variable\n", + "\n", + "Al asignar valor a una variable se crea dicha variable:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# variable \n", + "x = 1.0\n", + "my_variable = 12.2" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [], + "prompt_number": 14 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Aunque no se especifica explicitamente, las variables tienen tipos asociados a ellas. El tipo de variable se deriva del valor que se le asigna." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "type(x)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 15, + "text": [ + "builtins.float" + ] + } + ], + "prompt_number": 15 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Si asignamos un nuevo valor a la variable, su tipo cambia:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "x = 1" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 16 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "type(x)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 17, + "text": [ + "builtins.int" + ] + } + ], + "prompt_number": 17 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Si se intenta usar una variable que no se ha definido, se obtiene un error del tipo `NameError`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "print(y)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'y' is not defined", + "output_type": "pyerr", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;31mNameError\u001b[0m: name 'y' is not defined" + ] + } + ], + "prompt_number": 18 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "### Tipos fundamentales de variables" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# enteros\n", + "x = 1\n", + "type(x)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 19, + "text": [ + "builtins.int" + ] + } + ], + "prompt_number": 19 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# flotantes\n", + "x = 1.0\n", + "type(x)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 20, + "text": [ + "builtins.float" + ] + } + ], + "prompt_number": 20 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# booleanos\n", + "b1 = True\n", + "b2 = False\n", + "\n", + "type(b1)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 21, + "text": [ + "builtins.bool" + ] + } + ], + "prompt_number": 21 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# complejos, usando `j` para la parte imaginaria\n", + "x = 1.0 - 1.0j\n", + "type(x)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 22, + "text": [ + "builtins.complex" + ] + } + ], + "prompt_number": 22 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "print(x)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "(1-1j)\n" + ] + } + ], + "prompt_number": 23 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "print(x.real, x.imag)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "1.0 -1.0\n" + ] + } + ], + "prompt_number": 24 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "### Funciones para tipos de variables\n", + "\n", + "El m\u00f3dulo `types` contiene definiciones de algunos tipos, que pueden usarse para probar si una variable es de cierto tipo:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import types\n", + "\n", + "# print all types defined in the `types` module\n", + "print(dir(types))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['BuiltinFunctionType', 'BuiltinMethodType', 'CodeType', 'FrameType', 'FunctionType', 'GeneratorType', 'GetSetDescriptorType', 'LambdaType', 'MappingProxyType', 'MemberDescriptorType', 'MethodType', 'ModuleType', 'SimpleNamespace', 'TracebackType', '__builtins__', '__cached__', '__doc__', '__file__', '__initializing__', '__loader__', '__name__', '__package__', '_calculate_meta', 'new_class', 'prepare_class']\n" + ] + } + ], + "prompt_number": 25 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "x = 1.0\n", + "\n", + "# check if the variable x is a float\n", + "type(x) is float" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 26, + "text": [ + "True" + ] + } + ], + "prompt_number": 26 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# check if the variable x is an int\n", + "type(x) is int" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 27, + "text": [ + "False" + ] + } + ], + "prompt_number": 27 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Tambi\u00e9n puede usarse el m\u00e9todo `isinstance` para probar tipos de variables:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "isinstance(x, float)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 28, + "text": [ + "True" + ] + } + ], + "prompt_number": 28 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "### Reparto (casting) de tipos de variables" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "x = 1.5\n", + "\n", + "print(x, type(x))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "1.5 \n" + ] + } + ], + "prompt_number": 29 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "x = int(x)\n", + "\n", + "print(x, type(x))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "1 \n" + ] + } + ], + "prompt_number": 30 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "z = complex(x)\n", + "\n", + "print(z, type(z))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "(1+0j) \n" + ] + } + ], + "prompt_number": 31 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "x = float(z)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "ename": "TypeError", + "evalue": "can't convert complex to float", + "output_type": "pyerr", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfloat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mz\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m: can't convert complex to float" + ] + } + ], + "prompt_number": 32 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Una variable compleja no puede repartirse en flotantes o enteros, es necesario usar `z.real` o `z.imag` para extraer la parte deseada:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "y = bool(z.real)\n", + "\n", + "print(z.real, \" -> \", y, type(y))\n", + "\n", + "y = bool(z.imag)\n", + "\n", + "print(z.imag, \" -> \", y, type(y))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "1.0 -> True \n", + "0.0 -> False \n" + ] + } + ], + "prompt_number": 33 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## Operadores y comparaci\u00f3n entre variables\n", + "\n", + "Los operadores y comparaciones en Python funcionan de manera esperada:\n", + "\n", + "* Operadores aritm\u00e9ticos `+`, `-`, `*`, `/`, `//` (divisi\u00f3n entera), '**' potencias\n" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "1 + 2, 1 - 2, 1 * 2, 1 / 2" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 34, + "text": [ + "(3, -1, 2, 0.5)" + ] + } + ], + "prompt_number": 34 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "1.0 + 2.0, 1.0 - 2.0, 1.0 * 2.0, 1.0 / 2.0" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 35, + "text": [ + "(3.0, -1.0, 2.0, 0.5)" + ] + } + ], + "prompt_number": 35 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Integer division of float numbers\n", + "3.0 // 2.0" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 36, + "text": [ + "1.0" + ] + } + ], + "prompt_number": 36 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Note! The power operators in python isn't ^, but **\n", + "2 ** 2" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 37, + "text": [ + "4" + ] + } + ], + "prompt_number": 37 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "* Los operadores booleanos son palabras `and`, `not`, `or`. " + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "True and False" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 38, + "text": [ + "False" + ] + } + ], + "prompt_number": 38 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "not False" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 39, + "text": [ + "True" + ] + } + ], + "prompt_number": 39 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "True or False" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 40, + "text": [ + "True" + ] + } + ], + "prompt_number": 40 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "* Los operadores de comparaci\u00f3n `>`, `<`, `>=`, `<=`, `==` (igualdad), `is` (id\u00e9ntico)" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "2 > 1, 2 < 1" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 41, + "text": [ + "(True, False)" + ] + } + ], + "prompt_number": 41 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "2 > 2, 2 < 2" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 42, + "text": [ + "(False, False)" + ] + } + ], + "prompt_number": 42 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "2 >= 2, 2 <= 2" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 43, + "text": [ + "(True, True)" + ] + } + ], + "prompt_number": 43 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# equality\n", + "[1,2] == [1,2]" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 44, + "text": [ + "True" + ] + } + ], + "prompt_number": 44 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# objects identical?\n", + "l1 = l2 = [1,2]\n", + "\n", + "l1 is l2" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 45, + "text": [ + "True" + ] + } + ], + "prompt_number": 45 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Tipos compuestos: Cadenas, listas y diccionarios\n", + "\n", + "### Cadenas\n", + "\n", + "Son el tipo de variable usado para mensajes de texto" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "s = \"Hola clase\"\n", + "type(s)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 46, + "text": [ + "builtins.str" + ] + } + ], + "prompt_number": 46 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# length of the string: the number of characters\n", + "len(s)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 47, + "text": [ + "11" + ] + } + ], + "prompt_number": 47 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# replace a substring in a string with somethign else\n", + "s2 = s.replace(\"clase\", \"profe\")\n", + "print(s2)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Hello test\n" + ] + } + ], + "prompt_number": 48 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Cada caracter en una cadena puede obtenerse con su \u00edndice usando `[]`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "s[0]" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 49, + "text": [ + "'H'" + ] + } + ], + "prompt_number": 49 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "**Nota:** Los \u00edndices en Python empiezan en 0\n", + "\n", + "Podemos extraer una parte de una cadena usando la sint\u00e1xis `[inicio:final]`, que extrae caracteres entre los \u00edndices `inicio` y `final`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "s[0:5]" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 50, + "text": [ + "'Hello'" + ] + } + ], + "prompt_number": 50 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Si omitimos alguno, o ambos de `inicio` o `final` de `[inicio:final]`, se toma por default el inicio o el final de la cadena respectivamente:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "s[:5]" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 51, + "text": [ + "'Hello'" + ] + } + ], + "prompt_number": 51 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "s[6:]" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 52, + "text": [ + "'world'" + ] + } + ], + "prompt_number": 52 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "s[:]" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 53, + "text": [ + "'Hello world'" + ] + } + ], + "prompt_number": 53 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Tambi\u00e9n pueden definirse intervalos para seleccionar caracteres en una cadena, usando `[inicio:final:pasos]` (el valor por default de `pasos` es 1):" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "s[::1]" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 54, + "text": [ + "'Hello world'" + ] + } + ], + "prompt_number": 54 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "s[::2]" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 55, + "text": [ + "'Hlowrd'" + ] + } + ], + "prompt_number": 55 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Esta t\u00e9cnica se llama *slicing* en ingl\u00e9s \u00f3 **_rebanadas_**." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Python tiene un conjunto de funciones \u00fatiles para procesar textos. Para m\u00e1s informaci\u00f3n, consultar la documentaci\u00f3n: http://docs.python.org.ar/tutorial/2/index.html" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "#### Ejemplos de formatos de cadenas" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "print(\"str1\", \"str2\", \"str3\") # The print statement concatenates strings with a space" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "str1 str2 str3\n" + ] + } + ], + "prompt_number": 56 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "print(\"str1\", 1.0, False, -1j) # The print statements converts all arguments to strings" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "str1 1.0 False (-0-1j)\n" + ] + } + ], + "prompt_number": 57 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "print(\"str1\" + \"str2\" + \"str3\") # strings added with + are concatenated without space" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "str1str2str3\n" + ] + } + ], + "prompt_number": 58 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "print(\"value = %f\" % 1.0) # we can use C-style string formatting" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "value = 1.000000\n" + ] + } + ], + "prompt_number": 59 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# this formatting creates a string\n", + "s2 = \"value1 = %.2f. value2 = %d\" % (3.1415, 1.5)\n", + "\n", + "print(s2)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "value1 = 3.14. value2 = 1\n" + ] + } + ], + "prompt_number": 60 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# alternative, more intuitive way of formatting a string \n", + "s3 = 'value1 = {0}, value2 = {1}'.format(3.1415, 1.5)\n", + "\n", + "print(s3)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "value1 = 3.1415, value2 = 1.5\n" + ] + } + ], + "prompt_number": 61 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "### Listas\n", + "\n", + "Las listas son muy parecidas a las cadenas, excepto que cada elemento puede ser de cualquier tipo\n", + "\n", + "La sint\u00e1xis para crear listas en Python es `[...]`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "l = [1,2,3,4]\n", + "\n", + "print(type(l))\n", + "print(l)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "\n", + "[1, 2, 3, 4]\n" + ] + } + ], + "prompt_number": 62 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Podemos usar las mismas t\u00e9cnicas de rebanadas que usamos para manipular cadenas en las listas:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "print(l)\n", + "\n", + "print(l[1:3])\n", + "\n", + "print(l[::2])" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[1, 2, 3, 4]\n", + "[2, 3]\n", + "[1, 3]\n" + ] + } + ], + "prompt_number": 63 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "**Ojo:** Los \u00edndices empiezan desde 0" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "l[0]" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 64, + "text": [ + "1" + ] + } + ], + "prompt_number": 64 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Los elementos en una lista no tienen porque ser todos del mismo tipo:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "l = [1, 'a', 1.0, 1-1j]\n", + "\n", + "print(l)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[1, 'a', 1.0, (1-1j)]\n" + ] + } + ], + "prompt_number": 65 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Las listas en Python pueden no tienen que ser homog\u00e9neas y pueden estar arbitrariamente anidadas:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "nested_list = [1, [2, [3, [4, [5]]]]]\n", + "\n", + "nested_list" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 66, + "text": [ + "[1, [2, [3, [4, [5]]]]]" + ] + } + ], + "prompt_number": 66 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Las listas en Python son muy importantes. Se usan en loops y estructuras de control de flujo. Existen varias funciones convenientes para generar listas de varios tipos, por ejemplo al funci\u00f3n `range`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "ini = 10\n", + "fin = 30\n", + "paso = 2\n", + "\n", + "range(ini,fin, paso)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 67, + "text": [ + "range(10, 30, 2)" + ] + } + ], + "prompt_number": 67 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# in python 3 range generates an interator, which can be converted to a list using 'list(...)'. It has no effect in python 2\n", + "list(range(start, stop, step))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 68, + "text": [ + "[10, 12, 14, 16, 18, 20, 22, 24, 26, 28]" + ] + } + ], + "prompt_number": 68 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "list(range(-10, 10))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 69, + "text": [ + "[-10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9]" + ] + } + ], + "prompt_number": 69 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "s" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 70, + "text": [ + "'Hello world'" + ] + } + ], + "prompt_number": 70 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# convert a string to a list by type casting:\n", + "\n", + "s2 = list(s)\n", + "\n", + "s2" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 71, + "text": [ + "['H', 'e', 'l', 'l', 'o', ' ', 'w', 'o', 'r', 'l', 'd']" + ] + } + ], + "prompt_number": 71 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# sorting lists\n", + "s2.sort()\n", + "\n", + "print(s2)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[' ', 'H', 'd', 'e', 'l', 'l', 'l', 'o', 'o', 'r', 'w']\n" + ] + } + ], + "prompt_number": 72 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "#### Agregando, insertando, modificando y removiendo elementos de listas" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# create a new empty list\n", + "l = []\n", + "\n", + "# add an elements using `append`\n", + "l.append(\"A\")\n", + "l.append(\"d\")\n", + "l.append(\"d\")\n", + "\n", + "print(l)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['A', 'd', 'd']\n" + ] + } + ], + "prompt_number": 73 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Podemos modificar la lista asignando nuevos valores a sus elementos. En lenguaje t\u00e9cnico, las listas son *mutables*." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "l[1] = \"p\"\n", + "l[2] = \"p\"\n", + "\n", + "print(l)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['A', 'p', 'p']\n" + ] + } + ], + "prompt_number": 74 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "l[1:3] = [\"d\", \"d\"]\n", + "\n", + "print(l)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['A', 'd', 'd']\n" + ] + } + ], + "prompt_number": 75 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Para insertar un elemento en un \u00edndice espec\u00edfico se usa `insert`" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "l.insert(0, \"i\")\n", + "l.insert(1, \"n\")\n", + "l.insert(2, \"s\")\n", + "l.insert(3, \"e\")\n", + "l.insert(4, \"r\")\n", + "l.insert(5, \"t\")\n", + "\n", + "print(l)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['i', 'n', 's', 'e', 'r', 't', 'A', 'd', 'd']\n" + ] + } + ], + "prompt_number": 76 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Para remover el primer elemento con un valor espec\u00edfico usamos `remove`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "l.remove(\"A\")\n", + "\n", + "print(l)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['i', 'n', 's', 'e', 'r', 't', 'd', 'd']\n" + ] + } + ], + "prompt_number": 77 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Podemos remover un elemento en una posici\u00f3n espec\u00edfica usando `del`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "del l[7]\n", + "del l[6]\n", + "\n", + "print(l)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "['i', 'n', 's', 'e', 'r', 't']\n" + ] + } + ], + "prompt_number": 78 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "El comando `help(list)` da mas detalles." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "### Tuplas\n", + "\n", + "Las tuplas son como listas, excepto que no pueden modificarse una vez que se crean, es decir son *inmutables*. \n", + "\n", + "En Python, las tuplas se crean usando la sint\u00e1xis `(..., ..., ...)`, o simplemente `..., ...`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "point = (10, 20)\n", + "\n", + "print(point, type(point))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "(10, 20) \n" + ] + } + ], + "prompt_number": 79 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "point = 10, 20\n", + "\n", + "print(point, type(point))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "(10, 20) \n" + ] + } + ], + "prompt_number": 80 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Podemos \"desempacar\" una tupla asignando una lista de variables separada por comas:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "x, y = point\n", + "\n", + "print(\"x =\", x)\n", + "print(\"y =\", y)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "x = 10\n", + "y = 20\n" + ] + } + ], + "prompt_number": 81 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Si tratamos de asignar un nuevo valor a algun elemento en la tupla obtnemos un error:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "point[0] = 20" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "ename": "TypeError", + "evalue": "'tuple' object does not support item assignment", + "output_type": "pyerr", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mpoint\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m20\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m: 'tuple' object does not support item assignment" + ] + } + ], + "prompt_number": 82 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "params = {\"parameter1\" : 1.0,\n", + " \"parameter2\" : 2.0,\n", + " \"parameter3\" : 3.0,}\n", + "\n", + "print(type(params))\n", + "print(params)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "\n", + "{'parameter2': 2.0, 'parameter3': 3.0, 'parameter1': 1.0}\n" + ] + } + ], + "prompt_number": 83 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "### Diccionarios\n", + "\n", + "Los diccionarios son tambi\u00e9n como listas, excepto que cada elemento en un pareja dada por una llave y un elemento. La sint\u00e1xis es para crear diccionarios es `{key1 : value1, ...}`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "print(\"parameter1 = \" + str(params[\"parameter1\"]))\n", + "print(\"parameter2 = \" + str(params[\"parameter2\"]))\n", + "print(\"parameter3 = \" + str(params[\"parameter3\"]))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "parameter1 = 1.0\n", + "parameter2 = 2.0\n", + "parameter3 = 3.0\n" + ] + } + ], + "prompt_number": 84 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "params[\"parameter1\"] = \"A\"\n", + "params[\"parameter2\"] = \"B\"\n", + "\n", + "# add a new entry\n", + "params[\"parameter4\"] = \"D\"\n", + "\n", + "print(\"parameter1 = \" + str(params[\"parameter1\"]))\n", + "print(\"parameter2 = \" + str(params[\"parameter2\"]))\n", + "print(\"parameter3 = \" + str(params[\"parameter3\"]))\n", + "print(\"parameter4 = \" + str(params[\"parameter4\"]))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "parameter1 = A\n", + "parameter2 = B\n", + "parameter3 = 3.0\n", + "parameter4 = D\n" + ] + } + ], + "prompt_number": 85 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Controles de flujo" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "### Declaraciones conditionales: if, elif, else\n", + "\n", + "La sint\u00e1xis en Python para ejecuciones condicionales usa `if`, `elif` (else if), `else`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "statement1 = False\n", + "statement2 = False\n", + "\n", + "if statement1:\n", + " print(\"statement1 is True\")\n", + " \n", + "elif statement2:\n", + " print(\"statement2 is True\")\n", + " \n", + "else:\n", + " print(\"statement1 and statement2 are False\")" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "statement1 and statement2 are False\n" + ] + } + ], + "prompt_number": 86 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "En Python los bloques de un programa se definen por el nivel de la _sangr\u00eda_.\n", + "\n", + "Comparado con el c\u00f3digo equivalente en C:\n", + "\n", + " if (statement1)\n", + " {\n", + " printf(\"statement1 is True\\n\");\n", + " }\n", + " else if (statement2)\n", + " {\n", + " printf(\"statement2 is True\\n\");\n", + " }\n", + " else\n", + " {\n", + " printf(\"statement1 and statement2 are False\\n\");\n", + " }\n", + "\n", + "En C, los bloques se definen por medio de los par\u00e9ntesis`{` y `}`. El nivel de sangr\u00eda (espacios blancos antes del c\u00f3digo) no importan.\n", + "\n", + "Pero en Python, la extensi\u00f3n de un bloque de c\u00f3digo se determina por el nivel de la sangr\u00eda (usualmente un *tab* o cuatro espacios blancos). Esto significa que hay que ser muy cuidadosos, de otro modo se generar\u00e1n errores de sint\u00e1xis.\n", + "\n", + "**Examples:**" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "statement1 = statement2 = True\n", + "\n", + "if statement1:\n", + " if statement2:\n", + " print(\"both statement1 and statement2 are True\")" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "both statement1 and statement2 are True\n" + ] + } + ], + "prompt_number": 87 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Bad indentation!\n", + "if statement1:\n", + " if statement2:\n", + " print(\"both statement1 and statement2 are True\") # this line is not properly indented" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "ename": "IndentationError", + "evalue": "expected an indented block (, line 4)", + "output_type": "pyerr", + "traceback": [ + "\u001b[1;36m File \u001b[1;32m\"\"\u001b[1;36m, line \u001b[1;32m4\u001b[0m\n\u001b[1;33m print(\"both statement1 and statement2 are True\") # this line is not properly indented\u001b[0m\n\u001b[1;37m ^\u001b[0m\n\u001b[1;31mIndentationError\u001b[0m\u001b[1;31m:\u001b[0m expected an indented block\n" + ] + } + ], + "prompt_number": 88 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "statement1 = False \n", + "\n", + "if statement1:\n", + " print(\"printed if statement1 is True\")\n", + " \n", + " print(\"still inside the if block\")" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 89 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "if statement1:\n", + " print(\"printed if statement1 is True\")\n", + " \n", + "print(\"now outside the if block\")" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "now outside the if block\n" + ] + } + ], + "prompt_number": 90 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## Loops\n", + "\n", + "En Python, los loops o bucles pueden programarse de diversas maneras. La mas com\u00fan de ellas es usando `for`, el cual se usa con objetos iterables, por ejemplo listas. La sint\u00e1xis b\u00e1sica es:\n", + "\n", + "\n", + "**`for` loops**:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "for x in [1,2,3]:\n", + " print(x)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "1\n", + "2\n", + "3\n" + ] + } + ], + "prompt_number": 91 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "El loop `for` itera sobre los elementos de la lista, y ejecuta el bloque una vez para cada elemento. Cualquier tipo de lista puede usarse en un loop `for`. Por ejemplo:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "for x in range(4): # by default range start at 0\n", + " print(x)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "0\n", + "1\n", + "2\n", + "3\n" + ] + } + ], + "prompt_number": 92 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Noten que `range(4)` NO inlcuye el 4" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "for x in range(-3,3):\n", + " print(x)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "-3\n", + "-2\n", + "-1\n", + "0\n", + "1\n", + "2\n" + ] + } + ], + "prompt_number": 93 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "for word in [\"scientific\", \"computing\", \"with\", \"python\"]:\n", + " print(word)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "scientific\n", + "computing\n", + "with\n", + "python\n" + ] + } + ], + "prompt_number": 94 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Puede iterarse sobre un par llave/valor de un diccionario:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "for key, value in params.items():\n", + " print(key + \" = \" + str(value))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "parameter4 = D\n", + "parameter2 = B\n", + "parameter3 = 3.0\n", + "parameter1 = A\n" + ] + } + ], + "prompt_number": 95 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "En ocasiones es conveniente acceder a los \u00edndices de los valores cuando se est\u00e1 iterando sobre una lista. Para \u00e9sto podemos usar la funci\u00f3n `enumerate` de la siguiente forma:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "for idx, x in enumerate(range(-3,3)):\n", + " print(idx, x)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "0 -3\n", + "1 -2\n", + "2 -1\n", + "3 0\n", + "4 1\n", + "5 2\n" + ] + } + ], + "prompt_number": 96 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Una forma compacta y conveniente de inicializar listas es usando loops:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "l1 = [x**2 for x in range(0,5)]\n", + "\n", + "print(l1)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[0, 1, 4, 9, 16]\n" + ] + } + ], + "prompt_number": 97 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "A esta forma se le llama **List comprehensions**" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "**loops `while`**:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "i = 0\n", + "\n", + "while i < 5:\n", + " print(i)\n", + " \n", + " i = i + 1\n", + " \n", + "print(\"hecho\")" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "0\n", + "1\n", + "2\n", + "3\n", + "4\n", + "done\n" + ] + } + ], + "prompt_number": 98 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Observese que la declaraci\u00f3n `print(\"hecho\")` no forma parte del bloque `while` por la diferencia en la sangr\u00eda" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Funciones\n", + "\n", + "En Python se define una funci\u00f3n usando la palabra reservada `def`, seguida del nombre de la funci\u00f3n, una r\u00fabrica con par\u00e9ntesis y dos puntos `:`. El c\u00f3digo que sigue, con un nivel adicional de sangr\u00eda, es el cuerpo de la funci\u00f3n." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def func0(): \n", + " print(\"prueba\")" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 99 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "func0()" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "test\n" + ] + } + ], + "prompt_number": 100 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Es opcional, pero muy recomendable, definir lo que se llama \"docstring\", que es una descripci\u00f3n de la raz\u00f3n de la funci\u00f3n y su comportamiento. Esta cadena debe seguir inmediatamente despu\u00e9s de la definici\u00f3n de la funci\u00f3n y antes del cuerpo de \u00e9sta." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def func1(s):\n", + " \"\"\"\n", + " Escribe la cadena 's' e indica cuantos caracteres contiene\n", + " \"\"\"\n", + " \n", + " print(s + \" tiene \" + str(len(s)) + \" caracteres\")" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 101 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "help(func1)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Help on function func1 in module __main__:\n", + "\n", + "func1(s)\n", + " Print a string 's' and tell how many characters it has\n", + "\n" + ] + } + ], + "prompt_number": 102 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "func1(\"test\")" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "test has 4 characters\n" + ] + } + ], + "prompt_number": 103 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Aqu\u00e9llas funciones que tienen un valor de regreso debe emplear la palabra reservada `return`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def square(x):\n", + " \"\"\"\n", + " Regresa el cuadrado de x.\n", + " \"\"\"\n", + " return x ** 2" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 104 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "square(4)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 105, + "text": [ + "16" + ] + } + ], + "prompt_number": 105 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Pueden darse m\u00faltiples valores de retorno de una funci\u00f3n usando tuplas:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def potencias(x):\n", + " \"\"\"\n", + " Regresa algunas potencias de x.\n", + " \"\"\"\n", + " return x ** 2, x ** 3, x ** 4" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 106 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "pot(3)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 107, + "text": [ + "(9, 27, 81)" + ] + } + ], + "prompt_number": 107 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "x2, x3, x4 = powers(3)\n", + "\n", + "print(x3)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "27\n" + ] + } + ], + "prompt_number": 108 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "### Argumentos de funciones\n", + "\n", + "Al definir una funci\u00f3n podemos pasar valores de argumentos que ser\u00e1n los valores por default" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def mifunc(x, p=2, debug=False):\n", + " if debug:\n", + " print(\"evaluando mifunc para x = \" + str(x) + \" usando exponente p = \" + str(p))\n", + " return x**p" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 109 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Si no se pasa el valor del argumento `debug` al llamar la funci\u00f3n `mifunc`, el default es el valor que sea a dado en la deficion\u00f3n de la funci\u00f3n:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "mifunc(5)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 110, + "text": [ + "25" + ] + } + ], + "prompt_number": 110 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "mifunc(5, debug=True)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "evaluating myfunc for x = 5 using exponent p = 2\n" + ] + }, + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 111, + "text": [ + "25" + ] + } + ], + "prompt_number": 111 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Si explicitamente enlistamos los nombres de los argumentos al invocar la funci\u00f3n no es necesario que vayan en el orden en que se han definido y resulta extremadamente \u00fatil cuando una funci\u00f3n tiene muchos argumentos opcionales." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "mifunc(p=3, debug=True, x=7)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "evaluating myfunc for x = 7 using exponent p = 3\n" + ] + }, + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 112, + "text": [ + "343" + ] + } + ], + "prompt_number": 112 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "### Funciones lambda\n", + "\n", + "En Python podemos crear funciones sin nombrar usando la palabra reservada `lambda`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "f1 = lambda x: x**2\n", + " \n", + "# es equivalente a\n", + "\n", + "def f2(x):\n", + " return x**2" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 113 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "f1(2), f2(2)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 114, + "text": [ + "(4, 4)" + ] + } + ], + "prompt_number": 114 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Esta t\u00e9cnica es \u00fatil por ejemplo cuando queremos pasar un funci\u00f3n como un argumento a otra funci\u00f3n:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# map es una funci\u00f3n de python\n", + "map(lambda x: x**2, range(-3,4))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 5, + "text": [ + "[9, 4, 1, 0, 1, 4, 9]" + ] + } + ], + "prompt_number": 5 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Clases\n", + "\n", + "Las clases son las componentes principales de la programaci\u00f3n orientada a objetos. Una clase es una estructura que representa a un objeto y las operaciones que pueden hacerse con \u00e9l.\n", + "\n", + "\n", + "Una clase puede contener *atributos* (variables) y *m\u00e9todos (funciones).\n", + "\n", + "Una clase se define de forma parecida a una funci\u00f3n, pero usando la palabra `class`, y la definici\u00f3n de la clase usualmente contiene algunas definiciones de m\u00e9todos de la clase (una funci\u00f3n en la clase).\n", + "\n", + "* Cada m\u00e9todo en la clase debe tener como primer argumento `self`. Esta es una auto-referencia\n", + "\n", + "* Algunos m\u00e9todos en la clase tienen un significado especial, por ejemplo:\n", + "\n", + " * `__init__`: El nombre del m\u00e9todo que se invoca cuando el objeto se crea por primera vez.\n", + " * `__str__` : Un m+\u00e9todo que se invoca cuando se necesita una representaci\u00f3n en cadena de la calse. Por ejemplo cuando se imprime.\n", + " * M\u00e1s en la documentaci\u00f3n, http://docs.python.org/2/reference/datamodel.html#special-method-names" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "class Point:\n", + " \"\"\"\n", + " Simple class for representing a point in a Cartesian coordinate system.\n", + " \"\"\"\n", + " \n", + " def __init__(self, x, y):\n", + " \"\"\"\n", + " Create a new Point at x, y.\n", + " \"\"\"\n", + " self.x = x\n", + " self.y = y\n", + " \n", + " def translate(self, dx, dy):\n", + " \"\"\"\n", + " Translate the point by dx and dy in the x and y direction.\n", + " \"\"\"\n", + " self.x += dx\n", + " self.y += dy\n", + " \n", + " def __str__(self):\n", + " return(\"Point at [%f, %f]\" % (self.x, self.y))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [], + "prompt_number": 117 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Para crear nuevas instancias de una clase:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "p1 = Point(0, 0) # this will invoke the __init__ method in the Point class\n", + "\n", + "print(p1) # this will invoke the __str__ method" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Point at [0.000000, 0.000000]\n" + ] + } + ], + "prompt_number": 118 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Para invocar un m\u00e9todo en la instancia de la clase:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "p2 = Point(1, 1)\n", + "\n", + "p1.translate(0.25, 1.5)\n", + "\n", + "print(p1)\n", + "print(p2)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Point at [0.250000, 1.500000]\n", + "Point at [1.000000, 1.000000]\n" + ] + } + ], + "prompt_number": 119 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Al llamar m\u00e9todos de una clase se pueden modificar los estados de la instancia particular de esa clase, pero no se afectan otras instancias de la misma clase o variables globales." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## M\u00f3dulos\n", + "\n", + "La reutilizaci\u00f3n de c\u00f3digo y evitar repeticiones es una buen h\u00e1bito de programaci\u00f3n.\n", + "\n", + "Para lograrlo, una idea es escribir funciones y clases con un prop\u00f3sito bien definido, y reusarlas en lugar de repetir c\u00f3digo similar en diferentes partes del programa. Estas acciones resultan en programas m\u00e1s legibles y simples de mantener, reduciendo los errores. \n", + "\n", + "En Python, los m\u00f3dulos se usan para organizar variables, functions y clases relacionadas entre si de alguna manera, y dan una gran flexibilidad de programaci\u00f3n modular. Un m\u00f3dulo en python se define en un archivo con extensi\u00f3n `.py`, y puede usarse, con otros m\u00f3dulos o programas de Python, usando la declaraci\u00f3n `import`.\n", + "\n", + "Consideren el siguiente ejemplo: el archivo `mimoduli.py` contiene una implementacion sencilla de una variable, una funci\u00f3n y una clase:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%file mimodulo.py\n", + "\"\"\"\n", + "Ejemplo de un m\u00f3dulo en python. Contiene una variable llamda mi_variable, \n", + "una function llamada mi_funcion y una clase llamada MiClase.\n", + "\"\"\"\n", + "\n", + "mi_variable = 0\n", + "\n", + "def mi_funcion():\n", + " \"\"\"\n", + " Funci\u00f3n de ejemplo\n", + " \"\"\"\n", + " return mi_variable\n", + " \n", + "class MiClase:\n", + " \"\"\"\n", + " Clase ejemplo.\n", + " \"\"\"\n", + "\n", + " def __init__(self):\n", + " self.variable = mi_variable\n", + " \n", + " def asigna_variable(self, nuevo_valor):\n", + " \"\"\"\n", + " Asigna un valor nuevo a self.variable\n", + " \"\"\"\n", + " self.variable = nuevo_valor\n", + " \n", + " def regresa_variable(self):\n", + " return self.variable" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Writing mimodule.py\n" + ] + } + ], + "prompt_number": 6 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Importamos el m\u00f3dulo al program de Python usando `import`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import mimodulo" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [], + "prompt_number": 121 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "La instrucci\u00f3n `help(modulo)` da informaci\u00f3n del m\u00f3dulo:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "help(mimodulo)" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Help on module mymodule:\n", + "\n", + "NAME\n", + " mymodule\n", + "\n", + "DESCRIPTION\n", + " Example of a python module. Contains a variable called my_variable,\n", + " a function called my_function, and a class called MyClass.\n", + "\n", + "CLASSES\n", + " builtins.object\n", + " MyClass\n", + " \n", + " class MyClass(builtins.object)\n", + " | Example class.\n", + " | \n", + " | Methods defined here:\n", + " | \n", + " | __init__(self)\n", + " | \n", + " | get_variable(self)\n", + " | \n", + " | set_variable(self, new_value)\n", + " | Set self.variable to a new value\n", + " | \n", + " | ----------------------------------------------------------------------\n", + " | Data descriptors defined here:\n", + " | \n", + " | __dict__\n", + " | dictionary for instance variables (if defined)\n", + " | \n", + " | __weakref__\n", + " | list of weak references to the object (if defined)\n", + "\n", + "FUNCTIONS\n", + " my_function()\n", + " Example function\n", + "\n", + "DATA\n", + " my_variable = 0\n", + "\n", + "FILE\n", + " /home/rob/Desktop/scientific-python-lectures/mymodule.py\n", + "\n", + "\n" + ] + } + ], + "prompt_number": 122 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "mimoduli.mi_variable" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 123, + "text": [ + "0" + ] + } + ], + "prompt_number": 123 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "mimoduli.mi_function() " + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 124, + "text": [ + "0" + ] + } + ], + "prompt_number": 124 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "my_class = mymodule.MyClass() \n", + "my_class.set_variable(10)\n", + "my_class.get_variable()" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 125, + "text": [ + "10" + ] + } + ], + "prompt_number": 125 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Si hacemos alguna modificaci\u00f3n al c\u00f3digo en `mimodulo.py`, necesitamos \"cargar\" el m\u00f3dulo nuevamente para que los cambios se vean reflejados. Hacemos esto usando `reload`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "reload(mimodulo) # works only in python 2" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Excepciones\n", + "\n", + "Los errores en Python se administran por medio de constructores especiales llamados \"Excepciones\" (*exceptions*). Cuando ocurre un error se realiza una excepci\u00f3n (*Exception Raise*), la cual interrumpe la ejecuci\u00f3n normal del programa y arroja una parte del c\u00f3digo cercana a la \u00faltima parte realizada sin errores (esto se administra por medio de una declaraci\u00f3n *try-except*).\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Para generar una excepci\u00f3n podemos usar la declaraci\u00f3n `raise`, la cual requiere un argumento que debe ser una instancia de la clase `BaseExpection` o cualquier clase derivada de ella." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "raise Exception(\"descripci\u00f3n del error\")" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "ename": "Exception", + "evalue": "description of the error", + "output_type": "pyerr", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mException\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"description of the error\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;31mException\u001b[0m: description of the error" + ] + } + ], + "prompt_number": 127 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Un ejemplo del uso de excepciones es detener la ejecuci\u00f3n de una function cuando ocurre un error:\n", + "\n", + " def mi_funcion(argumentos):\n", + " \n", + " if not verify(argumentos):\n", + " raise Expection(\"Argumentos no validos\")\n", + " \n", + " # resto del codigo..." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Para \"cachar\" errores que se generan por funciones y m\u00e9todos de clases, o por el int\u00e9rprete mismo, usamos `try` y `except`:\n", + "\n", + " try:\n", + " # codigo normal que queremos realizar\n", + " except:\n", + " # codigo para tratar el error\n", + " # no se ejecuta a menos que el codigo\n", + " # anterior genera un error\n", + "\n", + "Por ejemplo:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "try:\n", + " print(\"prueba\")\n", + " # genera un error: la variable prueba no esta definida\n", + " print(test)\n", + "except:\n", + " print(\"Cache une excepcion\")" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "test\n", + "Caught an expection\n" + ] + } + ], + "prompt_number": 128 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "Para obtener informacion del error, podemos acceder a la instancia de la clase `Exception` que describe la excepci\u00f3n, por ejemplo usando:\n", + "\n", + " except Exception as e:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "try:\n", + " print(\"prueba\")\n", + " # genera un error: la variable prueba no esta definida\n", + " print(test)\n", + "except Exception as e:\n", + " print(\"Cache une excepcion:\" + str(e))" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "test\n", + "Caught an exception:name 'test' is not defined\n" + ] + } + ], + "prompt_number": 129 + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## M\u00e1s informaci\u00f3n \n", + "\n", + "La mayor\u00eda de la informaci\u00f3n que les proporcionar\u00e9 est\u00e1 en ingl\u00e9s, pero haciendo una b\u00fasqueda podr\u00e1n encontrar f\u00e1cilmente, recursos en otros idiomas.\n", + "\n", + "* https://wiki.python.org/moin/SpanishLanguage - Documentaci\u00f3n en espa\u00f1ol y recursos varios.\n", + "* http://www.python.org - El sitio oficial de Python.\n", + "* http://www.python.org/dev/peps/pep-0008 - Gu\u00eda de estilo para programar en Python. \n", + "* http://www.greenteapress.com/thinkpython/ - Libro gratis de programaci\u00f3n en Python.\n", + "* https://training.enthought.com/ - Tutoriales en linea\n", + "*" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "### Versiones" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%load_ext version_information\n", + "\n", + "%version_information" + ], + "language": "python", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "outputs": [ + { + "ename": "ImportError", + "evalue": "No module named version_information", + "output_type": "pyerr", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mu'load_ext version_information'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mu'version_information'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/Users/horacio/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.pyc\u001b[0m in \u001b[0;36mmagic\u001b[0;34m(self, arg_s)\u001b[0m\n\u001b[1;32m 2203\u001b[0m \u001b[0mmagic_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmagic_arg_s\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0marg_s\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpartition\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m' '\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2204\u001b[0m \u001b[0mmagic_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmagic_name\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlstrip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprefilter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mESC_MAGIC\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2205\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_line_magic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmagic_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmagic_arg_s\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2206\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2207\u001b[0m \u001b[0;31m#-------------------------------------------------------------------------\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/Users/horacio/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.pyc\u001b[0m in \u001b[0;36mrun_line_magic\u001b[0;34m(self, magic_name, line)\u001b[0m\n\u001b[1;32m 2124\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'local_ns'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0;36mload_ext\u001b[0;34m(self, module_str)\u001b[0m\n", + "\u001b[0;32m/Users/horacio/anaconda/lib/python2.7/site-packages/IPython/core/magic.pyc\u001b[0m in \u001b[0;36m\u001b[0;34m(f, *a, **k)\u001b[0m\n\u001b[1;32m 191\u001b[0m \u001b[0;31m# but it's overkill for just that one bit of state.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 192\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmagic_deco\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 193\u001b[0;31m \u001b[0mcall\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m 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+ } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Siguiente modulo de ejercicios\n", + "\n", + "* [Ejercicios 4](../Dia2/Lib08_Ejercicios04.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia2/notebooks/Tutoriales/Lib08_Tutorial_Ejercicios04.ipynb b/Dia2/notebooks/Tutoriales/Lib08_Tutorial_Ejercicios04.ipynb new file mode 100644 index 0000000..6f9a406 --- /dev/null +++ b/Dia2/notebooks/Tutoriales/Lib08_Tutorial_Ejercicios04.ipynb @@ -0,0 +1,1722 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# IPython y IPython Notebooks\n", + "\n", + "\n", + "\n", + "El contenido de esta libreta esta basado en [Python-Cientifico-HCC](http://nbviewer.ipython.org/github/damianavila/Python-Cientifico-HCC/tree/master/) de Damian Avila." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Descripción." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Es una poderosa herramienta para la computación científica interactiva y exploratoria.**\n", + "\n", + "* Intérpretes interactivos *poderosos* (terminal y basado en Qt).\n", + "* Un web-notebook con las mismas funcionalidades básicas que los interpretes interactivos pero con soporte para video, texto, código, expresiones matematicas y plot embebidos.\n", + "* Soporte para la visualización interactiva de datos y uso de bibliotecas GUI.\n", + "* Herramientas de alta performance para la cumputación en paralelo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Encendiendo motores..." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```\n", + "(ipython_dev)damian@damian-Inspiron-1110:~$ ipython notebook\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```\n", + "2013-05-10 12:11:26.912 [NotebookApp] Using existing profile dir: u'/home/damian/.config/ipython/profile_default'\n", + "2013-05-10 12:11:26.937 [NotebookApp] Using MathJax from CDN: http://cdn.mathjax.org/mathjax/latest/MathJax.js\n", + "2013-05-10 12:11:26.984 [NotebookApp] The port 8888 is already in use, trying another random port.\n", + "2013-05-10 12:11:26.985 [NotebookApp] Serving notebooks from local directory: /home/damian\n", + "2013-05-10 12:11:26.985 [NotebookApp] The IPython Notebook is running at: http://127.0.0.1:8888/\n", + "2013-05-10 12:11:26.986 [NotebookApp] Use Control-C to stop this server and shut down all kernels.\n", + "Se ha abierto una nueva ventana en la sesión actual del navegador.\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "y ejecutando un *hola mundo*:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hola RySi 2015\n" + ] + } + ], + "source": [ + "print \"Hola RySi 2015\"" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "a = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "La representación de los objetos es más legible:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from numpy.random import randn\n", + "data = {i : randn() for i in range(7)}" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{0: 0.9428841525856904,\n", + " 1: 1.165063252749645,\n", + " 2: 1.308665792696693,\n", + " 3: -0.8000502965205039,\n", + " 4: 0.4853678668880446,\n", + " 5: 0.03887308359359395,\n", + " 6: 1.9373711669042895}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{0: 0.6512988528977837, 1: 0.5240925908050613, 2: -0.8488047039989695, 3: 0.5773754635792333, 4: 0.13304051330295186, 5: -0.50229331002119, 6: -1.4593748753264693}\n" + ] + } + ], + "source": [ + ">>> from numpy.random import randn\n", + ">>> data = {i : randn() for i in range(7)}\n", + ">>> print data # pequeña trampa para verlo como se vería en consola" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.3.2. Completado por < TAB >." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "Facundo = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "Facultad = 8" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "Fa = 4" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Busqueda de variables en el espacio de nombres: variable_de_interés**``**:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "Fa" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Acceso a métodos y atributos, por ejemplo, objeto_de_interés**.``**:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "lista = [1, 2, 3, 4, 5]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "lista." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Lo mismo para los módulos, por ejemplo, modulo_de_interés**.``**:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import datetime" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "datetime." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "datetime._" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Incluso para directorios, por ejemplo, carpeta_de_interés**/``**:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1_Python_Cientifico_Intro.ipynb README.md\r\n", + "6_Herramientas_avanzadas.ipynb\t SciPyConAr_IPython.ipynb\r\n", + "images\t\t\t\t SciPyConAr_Matplotlib.ipynb\r\n", + "PairsTrading_0.1_Damian.ipynb\t SciPyConAr_NumPy.ipynb\r\n", + "PairsTrading_0.1_etf.ipynb\t SciPyConAr_SciPy.ipynb\r\n", + "random-matrix.csv\t\t scripts\r\n", + "random-matrix.npy\t\t stockholm_td_adj.dat\r\n" + ] + } + ], + "source": [ + "!ls # pequeño truco para pasar comandos a consola..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "scripts/" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "hola_mundo.py\r\n" + ] + } + ], + "source": [ + "!ls scripts/" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.3.3. Introspección de objetos." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "lista?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Apliquemoslo a una función propia:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def suma(a, b):\n", + " \"\"\"\n", + " Demo de una función que suma cosas...\n", + " \"\"\"\n", + " return a + b" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "suma?" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "suma??" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "El **\"?\"** También puede servirnos para la busqueda en el espacio de nombres de IPython:" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "np.*lin*?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.3.4. %run, Forest... %run." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Con el comando `%run` podemos ejecutar cualquier archivo `.py` en un espacio de nombres **limpio**, sin `imports` ni `variables` definidas (a menos que corramos `%run -i`).\n", + "\n", + "Demo:\n", + "\n", + "```\n", + "!mkdir temporal/\n", + "!touch temporal/mi_programa.py\n", + "!ls temporal/\n", + "!cat temporal/mi_programa.py\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mi_programa.py\n" + ] + } + ], + "source": [ + "%%bash\n", + "mkdir temporal/\n", + "touch temporal/mi_programa.py\n", + "ls temporal/" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "!cat temporal/mi_programa.py\n", + "# archivo vacio" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Overwriting temporal/mi_programa.py\n" + ] + } + ], + "source": [ + "%%writefile temporal/mi_programa.py\n", + "def mi_funcion(x, y):\n", + " \"\"\"\n", + " Demo\n", + " \"\"\"\n", + " return x / y\n", + "\n", + "x = 4\n", + "y = 2\n", + "\n", + "resultado = mi_funcion(x, y)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "def mi_funcion(x, y):\r\n", + " \"\"\"\r\n", + " Demo\r\n", + " \"\"\"\r\n", + " return x / y\r\n", + "\r\n", + "x = 4\r\n", + "y = 2\r\n", + "\r\n", + "resultado = mi_funcion(x, y)" + ] + } + ], + "source": [ + "!cat temporal/mi_programa.py" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%run temporal/mi_programa.py" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "2" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "resultado" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.3.5. Excepciones y Tracebacks." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Overwriting temporal/mi_programa.py\n" + ] + } + ], + "source": [ + "%%writefile temporal/mi_programa.py\n", + "def mi_funcion(x, y):\n", + " \"\"\"\n", + " Demo\n", + " \"\"\"\n", + " return x / y\n", + "\n", + "x = 4\n", + "y = 0\n", + "\n", + "resultado = mi_funcion(x, y)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "ename": "ZeroDivisionError", + "evalue": "integer division or modulo by zero", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m/home/damian/.virtualenvs/blog/local/lib/python2.7/site-packages/IPython/utils/py3compat.pyc\u001b[0m in \u001b[0;36mexecfile\u001b[1;34m(fname, *where)\u001b[0m\n\u001b[0;32m 202\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 203\u001b[0m \u001b[0mfilename\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfname\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 204\u001b[1;33m \u001b[0m__builtin__\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexecfile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0mwhere\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32m/media/datos/Presentacion/SciPyConAr_Python_Cientifico/temporal/mi_programa.py\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 9\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 10\u001b[1;33m \u001b[0mresultado\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmi_funcion\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32m/media/datos/Presentacion/SciPyConAr_Python_Cientifico/temporal/mi_programa.py\u001b[0m in \u001b[0;36mmi_funcion\u001b[1;34m(x, y)\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mDemo\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \"\"\"\n\u001b[1;32m----> 5\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mx\u001b[0m \u001b[1;33m/\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 6\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m4\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mZeroDivisionError\u001b[0m: integer division or modulo by zero" + ] + } + ], + "source": [ + "%run temporal/mi_programa.py" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.3.6. \"It a kind of Magic...\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Los *magics* son comandos que facilitan las tareas más comunes y/o permiten interaccionar y controlar IPython. \n", + "\n", + "Se reconocen por estar precedidos por **`%`** (*line-magics*) o **`%%`** (*cell-magics*).\n", + "\n", + "Explicación detallada, tenemos un *magic* para ello: **`%magic`**:" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%magic" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "application/json": { + "cell": { + "!": "OSMagics", + "HTML": "Other", + "SVG": "Other", + "bash": "Other", + "capture": "ExecutionMagics", + "debug": "ExecutionMagics", + "file": "Other", + "html": "DisplayMagics", + "javascript": "DisplayMagics", + "latex": "DisplayMagics", + "perl": "Other", + "prun": "ExecutionMagics", + "pypy": "Other", + "python": "Other", + "python3": "Other", + "ruby": "Other", + "script": "ScriptMagics", + "sh": "Other", + "svg": "DisplayMagics", + "sx": "OSMagics", + "system": "OSMagics", + "time": "ExecutionMagics", + "timeit": "ExecutionMagics", + "writefile": "OSMagics" + }, + "line": { + "alias": "OSMagics", + "alias_magic": "BasicMagics", + "autocall": "AutoMagics", + "automagic": "AutoMagics", + "autosave": "KernelMagics", + "bookmark": "OSMagics", + "cd": "OSMagics", + "clear": "KernelMagics", + "colors": "BasicMagics", + "config": "ConfigMagics", + "connect_info": "KernelMagics", + "debug": "ExecutionMagics", + "dhist": "OSMagics", + "dirs": "OSMagics", + "doctest_mode": "KernelMagics", + "ed": "Other", + "edit": "KernelMagics", + "env": "OSMagics", + "gui": "BasicMagics", + "hist": "Other", + "history": "HistoryMagics", + "install_default_config": "DeprecatedMagics", + "install_ext": "ExtensionMagics", + "install_profiles": "DeprecatedMagics", + "killbgscripts": "ScriptMagics", + "less": "KernelMagics", + "load": "CodeMagics", + "load_ext": "ExtensionMagics", + "loadpy": "CodeMagics", + "logoff": "LoggingMagics", + "logon": "LoggingMagics", + "logstart": "LoggingMagics", + "logstate": "LoggingMagics", + "logstop": "LoggingMagics", + "lsmagic": "BasicMagics", + "macro": "ExecutionMagics", + "magic": "BasicMagics", + "man": "KernelMagics", + "matplotlib": "PylabMagics", + "more": "KernelMagics", + "notebook": "BasicMagics", + "page": "BasicMagics", + "pastebin": "CodeMagics", + "pdb": "ExecutionMagics", + "pdef": "NamespaceMagics", + "pdoc": "NamespaceMagics", + "pfile": "NamespaceMagics", + "pinfo": "NamespaceMagics", + "pinfo2": "NamespaceMagics", + "popd": "OSMagics", + "pprint": "BasicMagics", + "precision": "BasicMagics", + "profile": "BasicMagics", + "prun": "ExecutionMagics", + "psearch": "NamespaceMagics", + "psource": "NamespaceMagics", + "pushd": "OSMagics", + "pwd": "OSMagics", + "pycat": "OSMagics", + "pylab": "PylabMagics", + "qtconsole": "KernelMagics", + "quickref": "BasicMagics", + "recall": "HistoryMagics", + "rehashx": "OSMagics", + "reload_ext": "ExtensionMagics", + "rep": "Other", + "rerun": "HistoryMagics", + "reset": "NamespaceMagics", + "reset_selective": "NamespaceMagics", + "run": "ExecutionMagics", + "save": "CodeMagics", + "sc": "OSMagics", + "store": "StoreMagics", + "sx": "OSMagics", + "system": "OSMagics", + "tb": "ExecutionMagics", + "time": "ExecutionMagics", + "timeit": "ExecutionMagics", + "unalias": "OSMagics", + "unload_ext": "ExtensionMagics", + "who": "NamespaceMagics", + "who_ls": "NamespaceMagics", + "whos": "NamespaceMagics", + "xdel": "NamespaceMagics", + "xmode": "BasicMagics" + } + }, + "text/plain": [ + "Available line magics:\n", + "%alias %alias_magic %autocall %automagic %autosave %bookmark %cd %clear %colors %config %connect_info %debug %dhist %dirs %doctest_mode %ed %edit %env %gui %hist %history %install_default_config %install_ext %install_profiles %killbgscripts %less %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %lsmagic %macro %magic %man %matplotlib %more %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %popd %pprint %precision %profile %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %run %save %sc %store %sx %system %tb %time %timeit %unalias %unload_ext %who %who_ls %whos %xdel %xmode\n", + "\n", + "Available cell magics:\n", + "%%! %%HTML %%SVG %%bash %%capture %%debug %%file %%html %%javascript %%latex %%perl %%prun %%pypy %%python %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile\n", + "\n", + "Automagic is ON, % prefix IS NOT needed for line magics." + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%lsmagic # si queremos listar todas las magics disponibles" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%quickref # referencia rápida" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "quickref # si %automagic está ON" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "OK, usemos una *magic* (**`%timeit`**) a modo de ejemplo:" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%timeit?" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "m = np.random.randn(100, 100) # matriz de números aleatorios de 100 x 100" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 0.64201774, -0.38347844, -0.7890974 , ..., -0.46518725,\n", + " -0.47730066, 0.59527553],\n", + " [-1.72622707, 0.74743633, -0.85308879, ..., 1.42442569,\n", + " -1.65892221, -0.16731257],\n", + " [-0.51145336, -2.38426458, 0.07501939, ..., -0.5910769 ,\n", + " 0.51592869, -1.57094979],\n", + " ..., \n", + " [-0.73568139, 1.45216464, 0.06415584, ..., -1.76705521,\n", + " -0.60617697, -2.12174131],\n", + " [ 1.72783127, 0.94125702, -0.72083119, ..., 1.295081 ,\n", + " -0.3173796 , -0.32551457],\n", + " [ 0.61688356, -2.44552169, 1.78567795, ..., 1.06696316,\n", + " -0.60935242, -0.26821413]])" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "m" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1000 loops, best of 3: 1.82 ms per loop\n" + ] + } + ], + "source": [ + "%timeit np.dot(m, m) # multiplicación vectorial de matrices" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "100 loops, best of 10: 1.82 ms per loop\n" + ] + } + ], + "source": [ + "%timeit -n 100 -r 10 np.dot(m, m) # las magics aceptan parámetros" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Algunas **`magics`** de uso frecuente que aun no hemos comentado:" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fa\tFacultad\tFacundo\ta\tdata\tdatetime\tlista\tm\tmi_funcion\t\n", + "np\trandn\tresultado\tsuma\tx\ty\t\n" + ] + } + ], + "source": [ + "%who" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['Fa',\n", + " 'Facultad',\n", + " 'Facundo',\n", + " 'a',\n", + " 'data',\n", + " 'datetime',\n", + " 'lista',\n", + " 'm',\n", + " 'mi_funcion',\n", + " 'np',\n", + " 'randn',\n", + " 'resultado',\n", + " 'suma',\n", + " 'x',\n", + " 'y']" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%who_ls" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Variable Type Data/Info\n", + "----------------------------------------------------\n", + "Fa int 4\n", + "Facultad int 8\n", + "Facundo int 1\n", + "a int 1\n", + "data dict n=7\n", + "datetime module ime.x86_64-linux-gnu.so'>\n", + "lista list n=5\n", + "m ndarray 100x100: 10000 elems, type `float64`, 80000 bytes\n", + "mi_funcion function \n", + "np module ages/numpy/__init__.pyc'>\n", + "randn builtin_function_or_method object at 0x7fc7bda98678>\n", + "resultado int 2\n", + "suma function \n", + "x int 4\n", + "y int 0\n" + ] + } + ], + "source": [ + "%whos" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fa\tFacultad\tFacundo\ta\tdata\tdatetime\tlista\tm\tmi_funcion\t\n", + "np\trandn\tsuma\tx\ty\t\n" + ] + } + ], + "source": [ + "%xdel resultado\n", + "%who" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Once deleted, variables cannot be recovered. Proceed (y/[n])? y\n" + ] + } + ], + "source": [ + "%reset" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'm' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mm\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;31mNameError\u001b[0m: name 'm' is not defined" + ] + } + ], + "source": [ + "m" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Nota: `%paste` y `%cpaste` son `magics` con uso frecuente en la consola de IPython." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.3.7. Dos `magics` muy útiles." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%qtconsole" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using matplotlib backend: agg\n" + ] + } + ], + "source": [ + "%matplotlib" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.4. IPython básico (parte 2)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.4.1. Haciendo uso de la historia..." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`Inputs` y `Outputs`:" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "16" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "2**4" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "16" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "_" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'bar'" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "foo = \"bar\"\n", + "foo" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "u'foo = \"bar\"\\nfoo'" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "_i50" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'bar'" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "_50" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'baz'" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "foo = \"baz\"\n", + "foo" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "exec _i50" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'bar'" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "foo" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note: Logging `magics` (`%logstart`, `%logstate`, `%logstop`, `%logon` y `%logoff`) son útiles en la consola de IPython." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.4.2. Interacción con el OS." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Usamos el signo de exclamación (**`!`**) para enviar el comando a la consola del sistema:" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/media/datos/Presentacion/SciPyConAr_Python_Cientifico\r\n" + ] + } + ], + "source": [ + "!pwd " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Incluso podemos capturar el output en una variable (en forma de una lista)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "mes = !cal" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "' Septiembre 2013 '" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "este_mes = mes[0]\n", + "este_mes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pueden utilizarse variables definidas en el espacio de nombres actual, precediéndolas con el signo **`$`**:" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "ipy_notebooks = '*.ipynb'" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1_Python_Cientifico_Intro.ipynb SciPyConAr_IPython.ipynb\r\n", + "6_Herramientas_avanzadas.ipynb\t SciPyConAr_Matplotlib.ipynb\r\n", + "images\t\t\t\t SciPyConAr_NumPy.ipynb\r\n", + "PairsTrading_0.1_Damian.ipynb\t SciPyConAr_SciPy.ipynb\r\n", + "PairsTrading_0.1_etf.ipynb\t scripts\r\n", + "random-matrix.csv\t\t stockholm_td_adj.dat\r\n", + "random-matrix.npy\t\t temporal\r\n", + "README.md\r\n" + ] + } + ], + "source": [ + "!ls" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1_Python_Cientifico_Intro.ipynb SciPyConAr_IPython.ipynb\r\n", + "6_Herramientas_avanzadas.ipynb\t SciPyConAr_Matplotlib.ipynb\r\n", + "PairsTrading_0.1_Damian.ipynb\t SciPyConAr_NumPy.ipynb\r\n", + "PairsTrading_0.1_etf.ipynb\t SciPyConAr_SciPy.ipynb\r\n" + ] + } + ], + "source": [ + "!ls $ipy_notebooks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Asimismo puedo establecer \"apodos\" o **`%alias`** de la siguiente forma:" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%alias ld ls -l" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total 7772\r\n", + "-rw-rw-r-- 1 damian damian 22666 sep 20 13:00 1_Python_Cientifico_Intro.ipynb\r\n", + "-rw-rw-r-- 1 damian damian 682829 sep 20 12:43 6_Herramientas_avanzadas.ipynb\r\n", + "drwxrwxr-x 2 damian damian 4096 sep 19 15:20 \u001b[0m\u001b[01;34mimages\u001b[0m/\r\n", + "-rw-rw-r-- 1 damian damian 931205 sep 20 01:42 PairsTrading_0.1_Damian.ipynb\r\n", + "-rw-rw-r-- 1 damian damian 668205 sep 19 17:41 PairsTrading_0.1_etf.ipynb\r\n", + "-rw-rw-r-- 1 damian damian 72 sep 20 11:44 random-matrix.csv\r\n", + "-rw-rw-r-- 1 damian damian 152 sep 20 11:44 random-matrix.npy\r\n", + "-rw-rw-r-- 1 damian damian 782 sep 19 15:20 README.md\r\n", + "-rw-rw-r-- 1 damian damian 43277 sep 20 13:07 SciPyConAr_IPython.ipynb\r\n", + "-rw-rw-r-- 1 damian damian 1516905 sep 20 12:01 SciPyConAr_Matplotlib.ipynb\r\n", + "-rw-rw-r-- 1 damian damian 66539 sep 20 12:03 SciPyConAr_NumPy.ipynb\r\n", + "-rw-rw-r-- 1 damian damian 1107362 sep 20 12:23 SciPyConAr_SciPy.ipynb\r\n", + "drwxrwxr-x 2 damian damian 4096 sep 19 15:20 \u001b[01;34mscripts\u001b[0m/\r\n", + "-rw-rw-r-- 1 damian damian 2864946 sep 19 15:20 stockholm_td_adj.dat\r\n", + "drwxrwxr-x 2 damian damian 4096 sep 20 13:05 \u001b[01;34mtemporal\u001b[0m/\r\n" + ] + } + ], + "source": [ + "ld" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "El **`%alias`** puede incluso contener varios comandos separados por (**`;`**):" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%alias l_datos (cd /media/datos; ls)" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Desarrollos Documentos Imágenes Música\t Programas virtualenvs\r\n", + "Descargas Ejemplos\t lost+found Presentacion Vídeos\r\n" + ] + } + ], + "source": [ + "l_datos" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Puedo usar marcadores para directorios de uso recurrente:" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%bookmark datos /media/datos" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(bookmark:datos) -> /media/datos\n", + "/media/datos\n" + ] + } + ], + "source": [ + "%cd datos" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Desarrollos Documentos Imágenes Música\t Programas virtualenvs\r\n", + "Descargas Ejemplos\t lost+found Presentacion Vídeos\r\n" + ] + } + ], + "source": [ + "!ls" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.4.3. Debugging. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* `%debug` (post-mortem debugger, lo inicializás después de la aparición de una excepción).\n", + "* `%pdb` (inicializa el debugger después de cada excepción)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.4.4. Profiling." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* `%prun` o `%run -p` (profiling en general).\n", + "* `%lprun` (profiling por linea, necesita de line-profiler)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.4.5. Configuración." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* Intro:\n", + " * http://ipython.org/ipython-doc/dev/config/overview.html\n", + "* Perfiles:\n", + " * http://ipython.org/ipython-doc/dev/config/overview.html#profiles\n", + "* Extensiones:\n", + " * http://ipython.org/ipython-doc/dev/config/extensions/index.\n", + " * https://github.com/ipython/ipython/wiki/Extensions-Index" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia2/notebooks/Tutoriales/Lib09_Tutorial_ProcesandoDatos01.ipynb b/Dia2/notebooks/Tutoriales/Lib09_Tutorial_ProcesandoDatos01.ipynb new file mode 100644 index 0000000..539da85 --- /dev/null +++ b/Dia2/notebooks/Tutoriales/Lib09_Tutorial_ProcesandoDatos01.ipynb @@ -0,0 +1,2024 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:dc261767ce7f0f114348f86d84ad5c076d8a04a00510e5391173d211aea7e2a8" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 23 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Un problema\n", + "\n", + "Apliquemos lo que hemos aprendido para resolver un problema:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Supongan que tienen una verduleria y quieren hacer una encuesta entre sus clientes para saber que tipo de rabano prefieren. Le piden a su asistente que escriba los resultados de la encuesta en un archivo de texto en su computadora, 300 lineas de datos en el archivo [encuestarabanos.txt](encuestarabanos.txt). Cada linea consiste en un nombre, un guion y una variedad de rabado (en ingles):\n", + "\n", + " Angelina Belmore - Plum Purple\n", + " Fred Smith - Red king\n", + " Matthew Wroe - White Icicle\n", + " Keira Cani - Sicily Giant\n", + " Isaac Hallstrom - Red King\n", + " Jin Li - White Icicle\n", + " Georgia McKellar - Bunny Tail\n", + " Maximilian Avdeev - Cherry Belle\n", + " Lorna Beneventi - White Icicle\n", + " Lara Tunnecliffe - Plum Purple\n", + " Hugo Sodersten - Daikon\n", + "\n", + "... etc" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\"Radishes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Les interesa saber\n", + "\n", + "* Cual es la variedad de rabano **mas** popular?\n", + "* Cual es la *menos* popular?\n", + "* Algun encuestado respondio dos veces (o mas)?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Es util este ejemplo?\n", + "\n", + "... y probablemente muy intrincado, pero es probable que se hayan encontrado con datos similares (en redes, productos, etc.) de los cuales necesitan extraer informacion relevante." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Leyendo la encuesta\n", + "\n", + "\n", + "Salven el [archivo con los datos de la encuesta](encuestarabanos.txt) a su computadora. Trabajaremos en un programa que nos diga quien voto por cual tipo de rabano." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "De la sesion anterior, sabemos que podemos ir linea por linea muy facilmente, y que cada linea tendra una valor como `\"Jin Li - White Icicle\\n\"`." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Tambien sabemos que podemos quitar el caracter de linea nueva usando el metodo `strip()`\n", + "\n", + " for linea in open(\"encuestarabanos.txt\"):\n", + " linea = linea.strip()\n", + " # Haz algo con cada linea" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "for linea in open('encuestarabanos.txt'):\n", + " linea = linea.strip()\n", + " # Haz algo con cada linea" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 15 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Necesitamos una manera de dividir cada linea del archivo de encuesta en nombre y voto. Vimos tambien en la sesion anterior que al metodo `split()` le podemos dar un argumento para indicarle el caracter que deseamos usar para separar la cadena. Veamos como se ve una de las lineas:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "linea" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 7, + "text": [ + "'eliana baresi - white icicle'" + ] + } + ], + "prompt_number": 7 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos usar el metodo `split()` de la siguiente forma\n", + "\n", + " linea.split('-')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Este comando busca la sub-cadena `'-'` en cualquier parte dentro de `linea` y lo usa como un *delimitador* para separar la cadena en listas." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "linea.split('-')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 8, + "text": [ + "['eliana baresi ', ' white icicle']" + ] + } + ], + "prompt_number": 8 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Las siguientes lineas procesan todo el archivo:\n", + "\n", + " for linea in open(\"encuestarabanos.txt\"):\n", + " linea = linea.strip()\n", + " partes = linea.split(' - ')\n", + " nombre = partes[0]\n", + " voto = partes[1]\n", + " print(nombre + \" voto por \" + voto)" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "for linea in open('encuestarabanos.txt'):\n", + " linea = linea.strip()\n", + " partes = linea.split(' - ')\n", + " nombre = partes[0]\n", + " voto = partes[1]\n", + " print(nombre + \" voto por \" + voto)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Evie Pulsford voto por April Cross\n", + "Matilda Condon voto por April Cross\n", + "Samantha Mansell voto por Champion\n", + "geronima trevisani voto por cherry belle\n", + "Alexandra Shoebridge voto por Snow Belle\n", + "Sarah Ahuia Ova voto por Snow Belle\n", + "Emma Slattery voto por Bunny Tail\n", + "Fabiana Milanesi voto por Champion\n", + "Makayla McMinn voto por Snow Belle\n", + "Julian O'Leary voto por Sicily Giant\n", + "Hannah Collie voto por Bunny Tail\n", + "Toby Lundie voto por Plum Purple\n", + "Baldo Palerma voto por Champion\n", + "Phoebe Barwell voto por Plum Purple\n", + "Sheng Shen voto por Champion\n", + "Jonathan Rolph voto por Snow Belle\n", + "Aaron Yarnold voto por Red King\n", + "Indiana angwin voto por Daikon\n", + "Luke Komine voto por White Icicle\n", + "Blake Ricardo voto por Daikon\n", + "Mikayla Biddell voto por Daikon\n", + "Piper Wheelwright voto por Bunny Tail\n", + "Bailey Derrington voto por White Icicle\n", + "Eufrosina Ferri voto por Daikon\n", + "Madeleine Abrahams voto por Daikon\n", + "Indiana Cowper voto por Sicily Giant\n", + "Procopio Zito voto por Red King\n", + "Ryan Langley voto por French Breakfast\n", + "anthony Gairdner voto por French Breakfast\n", + "Darcy Kayser voto por Champion\n", + "Adelmo De Luca voto por Plum Purple\n", + "Sienna Hovell voto por Champion\n", + "Mary Cardell voto por April Cross\n", + "Ebony Agnes voto por Daikon\n", + "Lola Atkinson voto por Plum Purple\n", + "Jonathan Walton voto por Champion\n", + "Tristan Gwynn voto por Red King\n", + "Jackson Longman voto por Red King\n", + "Archer Dodds voto por April Cross\n", + "Lilian Burne voto por French Breakfast\n", + "Ava McNaughtan voto por April Cross\n", + "Nate Shelley voto por Daikon\n", + "Antonia Buccho voto por Champion\n", + "Kaitlyn Rudduck voto por Cherry Belle\n", + "Skye Thynne voto por Champion\n", + "Ethan Collings voto por Plum Purple\n", + "Finn Leverrier voto por Plum Purple\n", + "Lee T'an voto por Plum Purple\n", + "Tyler Forbes voto por White Icicle\n", + "abbey dunkley voto por plum purple\n", + "rose stacy voto por french breakfast\n", + "Gianfranco Cremonesi voto por White Icicle\n", + "Grace Wentworth voto por French Breakfast\n", + "Cooper Menkens voto por Snow Belle\n", + "Scarlett Macdougall voto por French Breakfast\n", + "Fabio Pugliesi voto por Bunny Tail\n", + "Keira Wrenfordsley voto por Red King\n", + "Daniel Krimper voto por Plum Purple\n", + "Anna Deniehy voto por April Cross\n", + "Sabrina Beneventi voto por Cherry Belle\n", + "Oliver Potts voto por Snow Belle\n", + "Milla Winn voto por Plum Purple\n", + "Finn Whitworth voto por Sicily Giant\n", + "Sophie Keynes voto por Plum Purple\n", + "Joel Brownell voto por Plum Purple\n", + "Jonathan Parsons voto por French Breakfast\n", + "Amelia Ellwood voto por Snow Belle\n", + "Lincoln Gatehouse voto por Bunny Tail\n", + "Jin Huang voto por Daikon\n", + "Kuan-Yin Sun voto por Champion\n", + "Tao Hsiao voto por White Icicle\n", + "Emily Walters voto por White Icicle\n", + "nicholas kirby voto por french breakfast\n", + "Hong Tsui voto por April Cross\n", + "Mikayla Fullagar voto por Cherry Belle\n", + "Lola Catchpole voto por April Cross\n", + "Lelia Toscani voto por Bunny Tail\n", + "Natasha Prout voto por Cherry Belle\n", + "Raffaello Schiavone voto por Red King\n", + "Erin Stephen voto por Plum Purple\n", + "Eve Peacock voto por Daikon\n", + "Jordan Manning voto por Sicily Giant\n", + "Tyler Lister voto por April Cross\n", + "brodie agnew voto por daikon\n", + "Lincoln Hirschfeld voto por Champion\n", + "Ciriaca Genovesi voto por Bunny Tail\n", + "Dewei Niu voto por Snow Belle\n", + "Fai Teng voto por Bunny Tail\n", + "Rossana Cattaneo voto por Snow Belle\n", + "Isabelle Coombes voto por Daikon\n", + "Layla Hitchcock voto por Red King\n", + "Ashley Brigstocke voto por Red King\n", + "Lei Tai voto por Daikon\n", + "Victoria Humffray voto por Sicily Giant\n", + "Jake Champ voto por Daikon\n", + "Ben Vosper voto por Cherry Belle\n", + "Harrison Rose voto por Red King\n", + "Thomas Oom voto por White Icicle\n", + "Sophie Browning voto por Red King\n", + "Scarlett Hughes voto por Bunny Tail\n", + "Anthony Collits voto por Champion\n", + "Alicia Forrest voto por Sicily Giant\n", + "Riley Leakey voto por April Cross\n", + "Bethany Calwell voto por French Breakfast\n", + "Leo Sheil voto por April Cross\n", + "Kai MacMahon voto por April Cross\n", + "Rong Kuo voto por Champion\n", + "Stephanie Schnaars voto por White Icicle\n", + "Bethany Bardolph voto por French Breakfast\n", + "Guido Beneventi voto por French Breakfast\n", + "Victoria Witt voto por Daikon\n", + "Jun Hsiung voto por Bunny Tail\n", + "Noah Berrick voto por Daikon\n", + "Beato Mazzanti voto por Sicily Giant\n", + "Anna Denning voto por White Icicle\n", + "Sebastian George voto por Cherry Belle\n", + "Mackenzie Andrade voto por Champion\n", + "Sarah Joris voto por Champion\n", + "Joel Cassell voto por Plum Purple\n", + "Harrison Moowattin voto por Champion\n", + "william fenner voto por plum purple\n", + "Madeline Corbin voto por Bunny Tail\n", + "Sebastian Davitt voto por Champion\n", + "Li Qin Ch'ien voto por Sicily Giant\n", + "Owen Lea voto por Champion\n", + "Liam Copeland voto por Champion\n", + "Brianna Eltham voto por Sicily Giant\n", + "Joseph Gresswell voto por Sicily Giant\n", + "Alfonsina Marchesi voto por April Cross\n", + "Caitlin Houlding voto por Snow Belle\n", + "Natalie Schlapp voto por April Cross\n", + "Shaiming Fu voto por Champion\n", + "Lisandro Monaldo voto por Champion\n", + "Ruby Fox voto por White Icicle\n", + "Benjamin Rankin voto por Snow Belle\n", + "Connor Letters voto por April Cross\n", + "Laura Macdowell voto por Daikon\n", + "Jake Hervey voto por April Cross\n", + "Alyssa Batman voto por Snow Belle\n", + "Archer Larra voto por French Breakfast\n", + "Brayden Dixon voto por Bunny Tail\n", + "Kuan-Yin Kuo voto por Cherry Belle\n", + "Lucy Ley voto por Red King\n", + "Rachele Russo voto por Cherry Belle\n", + "Lucy Somers voto por Daikon\n", + "Ella Boucaut voto por Champion\n", + "Iacopo Baresi voto por Bunny Tail\n", + "Ali Dedman voto por White Icicle\n", + "Victoria Edinburgh voto por French Breakfast\n", + "Brianna Pye voto por Red King\n", + "Joel Bruce voto por Snow Belle\n", + "Lola Lea voto por Bunny Tail\n", + "Zachary Burford voto por Champion\n", + "Gabriella Bruton voto por April Cross\n", + "Finn Dunstan voto por Cherry Belle\n", + "Logan Truchanas voto por Red King\n", + "beau mclarty voto por white icicle\n", + "Carla De Luca voto por Daikon\n", + "Taylah Reynolds voto por Champion\n", + "Ava Musgrave voto por Bunny Tail\n", + "Jade Grimmett voto por Bunny Tail\n", + "Eliza Fink voto por April Cross\n", + "Charles Tearle voto por April Cross\n", + "Victoria Birch voto por Snow Belle\n", + "Mackenzie Geach voto por Plum Purple\n", + "Charles Card voto por Cherry Belle\n", + "Olivia Warnes voto por Sicily Giant\n", + "Jake Murdoch voto por Cherry Belle\n", + "Brayden Massina voto por April Cross\n", + "Sarah Milford voto por White Icicle\n", + "Lilian Pike voto por French Breakfast\n", + "Blake Dakin voto por Champion\n", + "Chi Hsiung voto por April Cross\n", + "Ludovica Siciliano voto por Sicily Giant\n", + "Rose Leahy voto por French Breakfast\n", + "Nicodemo Udinese voto por Bunny Tail\n", + "Amy Harriman voto por Sicily Giant\n", + "Harrison Macgeorge voto por Red King\n", + "Charles Mockridge voto por Cherry Belle\n", + "Victoria Hardie voto por Sicily Giant\n", + "Jake Hambly voto por Sicily Giant\n", + "Bartolomeo Mancini voto por French Breakfast\n", + "Maya Shackleton voto por Snow Belle\n", + "Hudson Dodgshun voto por White Icicle\n", + "Scarlett Sullivan voto por Snow Belle\n", + "Noah Doyne voto por April cross\n", + "Aidan Santo voto por Bunny Tail\n", + "kai emmett voto por bunny tail\n", + "Christopher Gillan voto por Daikon\n", + "Lara Salting voto por White Icicle\n", + "Alfonso Costa voto por Daikon\n", + "Mackenzie Knatchbull voto por Red King\n", + "Oliver Beit voto por Plum Purple\n", + "Thomas Muecke voto por French Breakfast\n", + "Sabrina Li Fonti voto por Bunny Tail\n", + "Jasmine Brake voto por Snow Belle\n", + "Sienna Bonnor voto por Daikon\n", + "Isabelle Llewelyn voto por Daikon\n", + "Amelie Farber voto por White Icicle\n", + "Keira Horner voto por Red King\n", + "Annabelle Colechin voto por French Breakfast\n", + "George Schlunke voto por Daikon\n", + "Hugo Stretch voto por French Breakfast\n", + "Isabella Pardey voto por White Icicle\n", + "Toby Docker voto por Red King\n", + "Caitlyn Hotchin voto por French Breakfast\n", + "Samuel Ansell voto por Sicily Giant\n", + "Prospero Milano voto por Champion\n", + "Zhi Chin voto por White Icicle\n", + "nate brooker voto por daikon\n", + "Elizabeth McNab voto por April Cross\n", + "Amelie Torpy voto por Champion\n", + "Audrey Bock voto por Bunny Tail\n", + "Abbey Dawson voto por Plum Purple\n", + "Hugo Coppleson voto por Daikon\n", + "Lilly Tait voto por Red King\n", + "Archer Frederick voto por April Cross\n", + "Alvisio Mazzi voto por April Cross\n", + "Chloe MacLaurin voto por Champion\n", + "Georgia Bruny voto por April Cross\n", + "Caitlyn Mullah voto por White Icicle\n", + "Gang Chia voto por Red King\n", + "Lauren Pennefather voto por French Breakfast\n", + "Fang Ch'eng voto por Cherry Belle\n", + "Summer Withers voto por Snow Belle\n", + "Kayla Sievier voto por Snow Belle\n", + "Edoardo Sal voto por Champion\n", + "Layla Fossey voto por April Cross\n", + "Ella Weston voto por Champion\n", + "Patrick Camidge voto por French Breakfast\n", + "Erin Stretton voto por French Breakfast\n", + "Poppy Duggan voto por Champion\n", + "Daniel Hogben voto por Daikon\n", + "Wan Tsai voto por Snow Belle\n", + "Olimpia Udinesi voto por April Cross\n", + "Xue Fang Fu voto por Daikon\n", + "Alyssa McInnes voto por Daikon\n", + "Connor Morphett voto por Plum Purple\n", + "Nathan Trott voto por French Breakfast\n", + "Brock Brunker voto por Bunny Tail\n", + "Hayden O'Connell voto por French Breakfast\n", + "James Larra voto por April Cross\n", + "Eva Geiger voto por Plum Purple\n", + "Taj Shackell voto por White Icicle\n", + "Eliza O'Haran voto por Champion\n", + "Aidan Dore voto por April Cross\n", + "Aiden Reginald voto por Plum Purple\n", + "Bruna Rizzo voto por Snow Belle\n", + "Alex Wemyss voto por April Cross\n", + "claudia westgarth voto por daikon\n", + "Jett Glynde voto por Plum Purple\n", + "Brooke Huffer voto por Daikon\n", + "Stephanie Synan voto por Sicily Giant\n", + "Salvatore Sagese voto por French Breakfast\n", + "Edgardo Mazzanti voto por Daikon\n", + "Brodie De Lissa voto por Cherry Belle\n", + "Cai Pan voto por Sicily Giant\n", + "Caitlyn Ridgeway voto por Sicily Giant\n", + "Mason Dymock voto por Plum Purple\n", + "Oliviero Lucchesi voto por Bunny Tail\n", + "Antonietta Baresi voto por Cherry Belle\n", + "Abbey Cousens voto por Daikon\n", + "Hui Hsiung voto por Cherry Belle\n", + "Marcus Brown voto por Sicily Giant\n", + "James Poupinel voto por Daikon\n", + "Lucas Tomkinson voto por Champion\n", + "Xin Qian Shih voto por White Icicle\n", + "Abigail Clark voto por White Icicle\n", + "Archie Gilfillan voto por French Breakfast\n", + "maya woolcock voto por april cross\n", + "Wei Hsiao voto por Daikon\n", + "Lauren Rosevear voto por Red King\n", + "Eve Gargett voto por Snow Belle\n", + "Cristian Pisano voto por Champion\n", + "Bianca Knopwood voto por White Icicle\n", + "Alyssa Loewe voto por Daikon\n", + "Feng Li voto por French Breakfast\n", + "Yi Min Chu voto por Plum Purple\n", + "Aiden Tasman voto por Red King\n", + "corinna lucchese voto por champion\n", + "Taylah Shore voto por Cherry Belle\n", + "nilde beneventi voto por french breakfast\n", + "edward greener voto por bunny tail\n", + "Nate Lodewyckx voto por Sicily Giant\n", + "Mariam Langridge voto por Red King\n", + "Indiana Cory voto por Champion\n", + "David Rees voto por April Cross\n", + "Daniel Appleton voto por Red King\n", + "Luke Leeper voto por Red King\n", + "Toby Spring voto por French Breakfast\n", + "Cody Laffer voto por Red King\n", + "Lilian Woodriff voto por Plum Purple\n", + "hudson crane voto por sicily giant\n", + "Anthony Wand voto por Bunny Tail\n", + "Dean Mattner voto por Red King\n", + "Lucinda Howarde voto por Sicily Giant\n", + "Caleb Clancy voto por Red King\n", + "Mia Legg voto por White Icicle\n", + "Isla Mehaffey voto por Sicily Giant\n", + "Cooper Lasseter voto por April Cross\n", + "Indiana Scott voto por Cherry Belle\n", + "Kaitlyn Kay voto por French Breakfast\n", + "Abbey Aronson voto por April Cross\n", + "Madeleine Hartung voto por Snow Belle\n", + "Abbey Tyas voto por Red King\n", + "Jacob Spowers voto por Snow Belle\n", + "Brodie Fraser voto por French Breakfast\n", + "Ivo Lucchesi voto por Champion\n", + "Harry Wormald voto por French Breakfast\n", + "Lilian Macquarie voto por White Icicle\n", + "Chelsea Warby voto por Bunny Tail\n", + "Eugenio Pagnotto voto por Sicily Giant\n", + "Michael Hargrave voto por Cherry Belle\n", + "Leda Romani voto por April Cross\n", + "Christopher Walton voto por Champion\n", + "Zachary Bass voto por White Icicle\n", + "jorja franklyn voto por white icicle\n", + "Makayla Sutton voto por Plum Purple\n", + "Shu Fang Tsou voto por French Breakfast\n", + "Evie Carey voto por Bunny Tail\n", + "Alannah Bleakley voto por Bunny Tail\n", + "Alma Longo voto por Cherry Belle\n", + "Abbey Garvin voto por Snow Belle\n", + "Isabella Van De Velde voto por Plum Purple\n", + "scarlett price voto por april cross\n", + "Beau Hauslaib voto por Champion\n", + "Isabelle Mathew voto por Sicily Giant\n", + "Laura Callinan voto por Cherry Belle\n", + "Cody Le Rennetel voto por French Breakfast\n", + "Rachel Luke voto por Snow Belle\n", + "Tristan Glynde voto por Snow Belle\n", + "Qiao Tien voto por Bunny Tail\n", + "Alana Meares voto por Red King\n", + "Xiao Chen Chiang voto por Sicily Giant\n", + "Jack Finlay voto por Cherry Belle\n", + "Jaxon Keen voto por Plum Purple\n", + "Jordan Catani voto por Plum Purple\n", + "Piera Trevisan voto por Red King\n", + "Bailey Mussen voto por Bunny Tail\n", + "Hayley Coverdale voto por White Icicle\n", + "Sophie Eipper voto por Snow Belle\n", + "Beata Endrizzi voto por Daikon\n", + "David Moynihan voto por White Icicle\n", + "Andrew Martens voto por French Breakfast\n", + "Nate Higgs voto por Red King\n", + "Isaac Banks voto por Snow Belle\n", + "Xavier Sligo voto por Champion\n", + "Nathan Aird voto por Plum Purple\n", + "Cooper Monk voto por Bunny Tail\n", + "Kayla Kinsella voto por Champion\n", + "Sean Maclurcan voto por Sicily Giant\n", + "Jett Faucett voto por April Cross\n", + "Koby Mary voto por Red King\n", + "Lok Fan voto por Champion\n", + "Liam Burn voto por French Breakfast\n", + "Ryan Skeats voto por Snow Belle\n", + "Harrison Barlee voto por Cherry Belle\n", + "Marcus South voto por Champion\n", + "Emily Kumm voto por White Icicle\n", + "Tristan Lack voto por Cherry Belle\n", + "Rebecca Godfrey voto por Red King\n", + "Bailey Randell voto por Red King\n", + "Emma Slater voto por Bunny Tail\n", + "Ellie Eaton voto por Sicily Giant\n", + "Hamish Kevin voto por Sicily Giant\n", + "Bella Lyttle voto por Bunny Tail\n", + "Guang Lo voto por April Cross\n", + "Jai Keith voto por Daikon\n", + "Lucinda Emanuel voto por Plum Purple\n", + "Tayla English voto por Plum Purple\n", + "Eden Petchy voto por Daikon\n", + "Lee Chen voto por April Cross\n", + "Angus De Mestre voto por White Icicle\n", + "Maya Huish voto por Snow Belle\n", + "Emily Plante voto por White Icicle\n", + "Connor Fairbridge voto por Bunny Tail\n", + "Lara Cawker voto por Champion\n", + "Blanda Panicucci voto por Bunny Tail\n", + "Napoleone Marcelo voto por Champion\n", + "Georgia Gillen voto por Snow Belle\n", + "Giselda Napolitano voto por French Breakfast\n", + "Anthony Hugo voto por Red King\n", + "Oscar Saltau voto por April Cross\n", + "Ashton Pearce voto por Daikon\n", + "Kiara Maxwell-Mahon voto por White Icicle\n", + "Sebastian Ball voto por French Breakfast\n", + "Anna Howarde voto por Bunny Tail\n", + "Lauren Nisbet voto por Plum Purple\n", + "Patrick Porteus voto por Bunny Tail\n", + "ling tuan voto por Red King\n", + "Park Ch'en voto por Sicily Giant\n", + "Yi Tseng voto por French Breakfast\n", + "Angelina Dangar voto por Snow Belle\n", + "Carolina Cattaneo voto por Snow Belle\n", + "Sean Tait voto por Snow Belle\n", + "Alex Falk voto por White Icicle\n", + "oliver thirkell voto por french breakfast\n", + "Jesse Fairley voto por Champion\n", + "Benito Cocci voto por Snow Belle\n", + "Laura Samuels voto por Champion\n", + "Kuan-Yin Tao voto por Cherry Belle\n", + "Shi She voto por Champion\n", + "Isabella Hoffnung voto por April Cross\n", + "George Carandini voto por White Icicle\n", + "Sarah Bindi voto por French Breakfast\n", + "Andrew Quick voto por April Cross\n", + "Giosu\u00e8 Romano voto por Champion\n", + "Eva Ruth voto por Plum Purple\n", + "Koby Gabriel voto por Champion\n", + "Jayden Josephson voto por April Cross\n", + "Mafalda Marchesi voto por Snow Belle\n", + "Gabrielle Porteus voto por Daikon\n", + "Dylan Synnot voto por Red King\n", + "Brooke Kisch voto por Bunny Tail\n", + "Quintilia Trentini voto por Bunny Tail\n", + "Taj Moonlight voto por Plum Purple\n", + "Ava Sorell voto por Bunny Tail\n", + "Kate Buchanan voto por Sicily Giant\n", + "Stella Inwood voto por Cherry Belle\n", + "Cody Glauert voto por Snow Belle\n", + "Callimaco Lombardi voto por Champion\n", + "ella irving voto por cherry belle\n", + "Guan-yin Hsiao voto por Red King\n", + "alicia muscio voto por april cross\n", + "Alana Sturdee voto por Champion\n", + "Makayla Fairbairn voto por White Icicle\n", + "Kaitlyn Collings voto por Bunny Tail\n", + "Alexis Le Hunte voto por Champion\n", + "lilian andrade voto por bunny tail\n", + "Alannah Housley voto por Bunny Tail\n", + "Rose Peeler voto por Champion\n", + "Yue Wan Yeh voto por White Icicle\n", + "Evie Langwell voto por Snow Belle\n", + "Zoe Jasprizza voto por Red King\n", + "Ivo Sagese voto por April Cross\n", + "Rory Springthorpe voto por Snow Belle\n", + "hannah gabriel voto por red king\n", + "Jonathan Paten voto por Bunny Tail\n", + "Jessica Rapke voto por Sicily Giant\n", + "Jake Sterne voto por Daikon\n", + "Lola Mashman voto por Bunny Tail\n", + "Chan Yen voto por Cherry Belle\n", + "Timothy Beeton voto por White Icicle\n", + "Joseph Hill voto por Daikon\n", + "Luke Gye voto por Plum Purple\n", + "Giuseppe Manna voto por Sicily Giant\n", + "Matilda Wardlaw voto por Red King\n", + "Hannah Dibbs voto por Plum Purple\n", + "Xavier Truman voto por French Breakfast\n", + "Emma Sodersten voto por April Cross\n", + "Blake Sodersten voto por French Breakfast\n", + "Andrew Schwarz voto por Cherry Belle\n", + "Owen Montgomery voto por Snow Belle\n", + "Blake Hurst voto por White Icicle\n", + "Brayden Brill voto por Cherry Belle\n", + "Keira Strzelecki voto por Champion\n", + "Zhen Juan Tsai voto por White Icicle\n", + "Mulan Kung voto por Red King\n", + "Clorinda Pugliesi voto por Champion\n", + "Abbey Strzelecki voto por French Breakfast\n", + "Andrew Howitt voto por April Cross\n", + "Sebastian Langford voto por Cherry Belle\n", + "hayley Hinchcliffe voto por Cherry Belle\n", + "Ebony Anton voto por Sicily Giant\n", + "Seth Reginald voto por April Cross\n", + "Beau Gosling voto por Plum Purple\n", + "Christopher Moss voto por White Icicle\n", + "laura uhr voto por red king\n", + "Jamie Faithful voto por Red King\n", + "Isaac Tennyson voto por Daikon\n", + "Gemma Norton voto por Sicily Giant\n", + "Matilda Madden voto por Red King\n", + "Azeglio Napolitano voto por Red King\n", + "David Tomlinson voto por Bunny Tail\n", + "Christian Morris voto por Champion\n", + "Amy Goulburn voto por April Cross\n", + "Christopher Clunies voto por April Cross\n", + "annabelle armytage voto por daikon\n", + "Hunter Connely voto por Snow Belle\n", + "Summer Stenhouse voto por April Cross\n", + "Alicia Farmer voto por White Icicle\n", + "Charlotte Slattery voto por Red King\n", + "Georgia Jessop voto por Cherry Belle\n", + "Abby Metters voto por Champion\n", + "Madeleine Behan voto por Snow Belle\n", + "Hayley Kernot voto por Plum Purple\n", + "Ubaldo Trevisani voto por Champion\n", + "Annabelle Scarfe voto por Cherry Belle\n", + "Flynn Weingarth voto por Sicily Giant\n", + "Indiana Keast voto por April Cross\n", + "Wang Tien voto por French Breakfast\n", + "Elijah Kingsbury voto por Plum Purple\n", + "henry wright voto por sicily giant\n", + "Meng Ni voto por Snow Belle\n", + "Sara Coffill voto por Sicily Giant\n", + "Giusy Lombardi voto por Plum Purple\n", + "Egidio Mancini voto por Sicily Giant\n", + "Bethany Macfarlan voto por Bunny Tail\n", + "Alexis Cowlishaw voto por Bunny Tail\n", + "Skye Garvin voto por April Cross\n", + "Abbey Rivett voto por Snow Belle\n", + "Mikayla Woollacott voto por Sicily Giant\n", + "Abbey Cochran voto por Daikon\n", + "Jasmine Baughan voto por White Icicle\n", + "Da-Xia Liang voto por April Cross\n", + "Dominic Nangle voto por White Icicle\n", + "Jesse Jury voto por Sicily Giant\n", + "Ruby Elias voto por Daikon\n", + "David Read voto por Bunny Tail\n", + "Yue Yan T'ang voto por April Cross\n", + "Qiang Tsui voto por Cherry Belle\n", + "Grace Parkinson voto por Snow Belle\n", + "Yue Yan Hu voto por White Icicle\n", + "Adele Buccho voto por White Icicle\n", + "Imogen Gertrude voto por Bunny Tail\n", + "Kate Cyril voto por April Cross\n", + "Zoe Canning voto por Plum Purple\n", + "Imogen Gaunson voto por Bunny Tail\n", + "Brayden Stretch voto por April Cross\n", + "Jian Ts'ao voto por Plum Purple\n", + "Gabriella Titheradge voto por Red King\n", + "Alexis Nesbitt voto por Daikon\n", + "Galeazzo Milanesi voto por Champion\n", + "Eve Everingham voto por Daikon\n", + "on h\u00ea voto por snow belle\n", + "Archie Mathy voto por White Icicle\n", + "Skye Reynolds voto por French Breakfast\n", + "Ben Denovan voto por April Cross\n", + "Pia Folliero voto por White Icicle\n", + "Archie Michelides voto por Cherry Belle\n", + "zane pavy voto por bunny tail\n", + "Ramiro Esposito voto por Daikon\n", + "Brock Eames voto por Daikon\n", + "Savannah Sheehan voto por French Breakfast\n", + "angus christie voto por french breakfast\n", + "Dominic Tregurtha voto por Cherry Belle\n", + "Molly Piguenit voto por Plum Purple\n", + "matthew john voto por snow belle\n", + "Koby Ledger voto por White Icicle\n", + "Jasper Harper voto por White Icicle\n", + "William Doyle voto por French Breakfast\n", + "Taj Maria voto por Sicily Giant\n", + "Michael Elliot voto por April Cross\n", + "Matthew Knibbs voto por Sicily Giant\n", + "Patrick Tilly voto por White Icicle\n", + "Sarah Kashiwagi voto por Bunny Tail\n", + "Abbey Bouton voto por Champion\n", + "Kayla Sandover voto por Bunny Tail\n", + "Anna Septimus voto por French Breakfast\n", + "Matthew Birch voto por Champion\n", + "Mikayla Kennerley voto por French Breakfast\n", + "Charli Birkbeck voto por Daikon\n", + "Matilda Gullett voto por Champion\n", + "Ella McLellan voto por April Cross\n", + "Silvia Rossi voto por Plum Purple\n", + "Chan Juan Hs\u00fc voto por French Breakfast\n", + "Oliver Aspinall voto por Cherry Belle\n", + "Timothy Baldwinson voto por Bunny Tail\n", + "Li Wei Chien voto por Snow Belle\n", + "Bethany Layh voto por French Breakfast\n", + "Gang Hsu voto por April Cross\n", + "Mikayla Brodney voto por Champion\n", + "Kuan-Yin Mao voto por Daikon\n", + "Elizabeth Minifie voto por Champion\n", + "Sarah Band voto por Sicily Giant\n", + "Tyson Kaberry voto por French Breakfast\n", + "Victoria Shipp voto por Cherry Belle\n", + "Henry McCorkindale voto por French Breakfast\n", + "William De Satg voto por Snow Belle\n", + "Skye Atkins voto por Cherry Belle\n", + "Sean Hogben voto por Champion\n", + "Claire Boelke voto por Cherry Belle\n", + "Tristan Turley voto por Snow Belle\n", + "Tyler Hansen voto por Champion\n", + "Caleb Ride voto por Bunny Tail\n", + "Archer Cathcart voto por April Cross\n", + "Hamish Helena voto por French Breakfast\n", + "Agostino Milanesi voto por April Cross\n", + "lilly wunderlich voto por french breakfast\n", + "Brooke Mahomet voto por Sicily Giant\n", + "Seth Bramston voto por Daikon\n", + "Archer Kirwan voto por Cherry Belle\n", + "Ettore Marcelo voto por Champion\n", + "Blake D'Alton voto por Sicily Giant\n", + "Jai Burgoyne voto por Bunny Tail\n", + "Mikayla Minogue voto por April Cross\n", + "Thomas Catt voto por April Cross\n", + "Oscar Cocci voto por Daikon\n", + "Claudia Boxall voto por Plum Purple\n", + "Imogen Macaulay voto por Snow Belle\n", + "Tyson Platt voto por Bunny Tail\n", + "Isabelle Camden voto por White Icicle\n", + "Kiara Maxted voto por Daikon\n", + "Raffaella Trevisan voto por Daikon\n", + "Xiang Hs\u00fc voto por Plum Purple\n", + "Hudson Greene voto por Bunny Tail\n", + "Ruby Wakefield voto por Cherry Belle\n", + "Matilda Macarthur-Onslow voto por Plum Purple\n", + "Jasmine Fetherstonhaugh voto por Snow Belle\n", + "Andrew Bower voto por Bunny Tail\n", + "Olindo De Luca voto por Cherry Belle\n", + "Alexis Kelynack voto por French Breakfast\n", + "Amy Clunie voto por White Icicle\n", + "Kang Yu voto por Cherry Belle\n", + "Henry Birdseye voto por Snow Belle\n", + "dominic gale voto por april cross\n", + "Edward Edmond voto por Snow Belle\n", + "Raul Pinto voto por Cherry Belle\n", + "Laura Bath voto por Red King\n", + "John Bale voto por Cherry Belle\n", + "Margherita Milani voto por Red King\n", + "Hudson Devine voto por Champion\n", + "Jaxon Cowles voto por Sicily Giant\n", + "Cameron Embley voto por Sicily Giant\n", + "Laura Wawn voto por Cherry Belle\n", + "Li Ming Niu voto por Cherry Belle\n", + "Eden Sheehan voto por Cherry Belle\n", + "Taj Bjelke-Petersen voto por French Breakfast\n", + "Declan Winston voto por White Icicle\n", + "Chan Chao voto por Red King\n", + "mikayla hebblethwaite voto por sicily giant\n", + "Tristan Monson voto por Cherry Belle\n", + "Leah Ross-Watt voto por Plum Purple\n", + "Hu K'ung voto por Daikon\n", + "Kaitlyn Carnegie voto por Champion\n", + "Victoria Brereton voto por Plum Purple\n", + "Keira Toutcher voto por Cherry Belle\n", + "David Morgans voto por Daikon\n", + "Norma Fiorentino voto por Red King\n", + "Sarah Paten voto por Sicily Giant\n", + "Zac Cowles voto por Sicily Giant\n", + "Brock Fiaschi voto por French Breakfast\n", + "Eliza Naylor voto por French Breakfast\n", + "Imogen Raws voto por Red King\n", + "Jesse Abercrombie voto por Snow Belle\n", + "James Luke voto por White Icicle\n", + "Riley Stewart voto por White Icicle\n", + "amelia blue voto por white icicle\n", + "Cameron Pearce voto por Red King\n", + "Ennio DeRose voto por French Breakfast\n", + "Samuel Henschke voto por Sicily Giant\n", + "Blake MacFarland voto por Cherry Belle\n", + "Mary Randall voto por Cherry Belle\n", + "luce de luca voto por snow belle\n", + "Marcus Derbyshire voto por Bunny Tail\n", + "Hunter McEachern voto por Bunny Tail\n", + "Jasper Gibney voto por French Breakfast\n", + "Lincoln Hoare voto por French Breakfast\n", + "Sofia Donnithorne voto por Snow Belle\n", + "Anthony Stuart voto por Snow Belle\n", + "Hamish Yarnold voto por April Cross\n", + "Lucas Schuler voto por Plum Purple\n", + "Milla Garling voto por French Breakfast\n", + "Abigail Wiltshire voto por Bunny Tail\n", + "Zane Wreford voto por Snow Belle\n", + "Sean Glew voto por Daikon\n", + "Ryan Aird voto por Red King\n", + "Jasper Harford voto por Champion\n", + "Charlie McCabe voto por Bunny Tail\n", + "Rory Evenden voto por White Icicle\n", + "Ebony Florence voto por Snow Belle\n", + "Flynn Poninski voto por Daikon\n", + "Ebony Lawlor voto por Bunny Tail\n", + "Ethan Dickson voto por Bunny Tail\n", + "Xavier Howchin voto por Bunny Tail\n", + "Zane Weindorfer voto por Cherry Belle\n", + "Sienna Dann voto por Snow Belle\n", + "Eleuterio Lombardo voto por White Icicle\n", + "Tyler Makutz voto por Champion\n", + "Yong Hsiao voto por White Icicle\n", + "Erin Binnie voto por Bunny Tail\n", + "Phoebe Barwell voto por Plum Purple\n", + "Dylan Barney voto por French Breakfast\n", + "Tristan Charteris voto por April Cross\n", + "Sebastian Helmore voto por Bunny Tail\n", + "Thomas Darcy voto por Bunny Tail\n", + "Quinzia Costa voto por Daikon\n", + "Da-Xia Hsiao voto por French Breakfast\n", + "Grace Frayne voto por Sicily Giant\n", + "Toby Queale voto por White Icicle\n", + "Logan Lackey voto por Plum Purple\n", + "na t'ao voto por french breakfast\n", + "Callum Prentice voto por Plum Purple\n", + "Levi Ferry voto por Sicily Giant\n", + "Hsin Tan voto por April Cross\n", + "Lara Macarthur voto por French Breakfast\n", + "Scarlett Bruny voto por Champion\n", + "Procopio Zito voto por white icicle\n", + "Jamie Ham voto por Bunny Tail\n", + "Kaitlyn Mullen voto por Daikon\n", + "Cameron Landseer voto por April Cross\n", + "Jasper Alfred voto por White Icicle\n", + "Andrew Coventry voto por Cherry Belle\n", + "Scarlett Schonell voto por Plum Purple\n", + "Mia Alngindabu voto por Champion\n", + "Claire Bisdee voto por Daikon\n", + "Gabriella Beale voto por Cherry Belle\n", + "Rebecca Petrie voto por Snow Belle\n", + "Alexander McKean voto por Bunny Tail\n", + "Cody Leakey voto por Plum Purple\n", + "Sam Scarfe voto por Sicily Giant\n", + "Angus Langley voto por French Breakfast\n", + "Shi Shen voto por Sicily Giant\n", + "Park Wu voto por Champion\n", + "Isabelle Finney voto por April Cross\n", + "Aaron Addison voto por Plum Purple\n", + "Ethan Macdougall voto por Champion\n", + "cody vale voto por red king\n", + "Aidan Clutterbuck voto por French Breakfast\n", + "Durante Ferri voto por White Icicle\n", + "eliana baresi voto por white icicle\n" + ] + } + ], + "prompt_number": 10 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`split()` es una funcion con mucha versatilidad. Hagan algunos experimentos con ella en sus libretas. Antes de que ntenten los siguiente comandos, piensen que es lo que producen. Escriban sus ideas en una celda y despues ejecutenlos.\n", + "\n", + " \"1,2,3,4,5\".split(\",\")\n", + "\n", + " \"cheese\".split(\",\")\n", + "\n", + " \"Jin Li - White - Icicle\".split(\" - \")\n", + "\n", + " \"Jin Li - White Icicle\".split(\"-\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Inspeccionando votos\n", + "\n", + "Pueden escribir un programa que solamente imprima los nombres de aquellos que votaron por el rabano *White Icicle*?\n", + "\n", + "Usen el ejemplo anterior como base de inicio. Necesitaran comparar el voto con la cadena `\"White Icicle\"` para cada linea del archivo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Solucion\n", + "\n", + " for linea in open(\"encuestarabanos.txt\"):\n", + " linea = linea.strip()\n", + " partes = linea.split(\" - \")\n", + " nombre,voto = partes\n", + " if voto == \"White Icicle\":\n", + " print(nombre + \" voto por White Icicle!\")" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "for linea in open(\"encuestarabanos.txt\"):\n", + " linea = linea.strip()\n", + " partes = linea.split(\" - \")\n", + " nombre,voto = partes\n", + " if voto == \"White Icicle\":\n", + " print(nombre + \" voto por White Icicle!\")" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Luke Komine voto por White Icicle!\n", + "Bailey Derrington voto por White Icicle!\n", + "Tyler Forbes voto por White Icicle!\n", + "Gianfranco Cremonesi voto por White Icicle!\n", + "Tao Hsiao voto por White Icicle!\n", + "Emily Walters voto por White Icicle!\n", + "Thomas Oom voto por White Icicle!\n", + "Stephanie Schnaars voto por White Icicle!\n", + "Anna Denning voto por White Icicle!\n", + "Ruby Fox voto por White Icicle!\n", + "Ali Dedman voto por White Icicle!\n", + "Sarah Milford voto por White Icicle!\n", + "Hudson Dodgshun voto por White Icicle!\n", + "Lara Salting voto por White Icicle!\n", + "Amelie Farber voto por White Icicle!\n", + "Isabella Pardey voto por White Icicle!\n", + "Zhi Chin voto por White Icicle!\n", + "Caitlyn Mullah voto por White Icicle!\n", + "Taj Shackell voto por White Icicle!\n", + "Xin Qian Shih voto por White Icicle!\n", + "Abigail Clark voto por White Icicle!\n", + "Bianca Knopwood voto por White Icicle!\n", + "Mia Legg voto por White Icicle!\n", + "Lilian Macquarie voto por White Icicle!\n", + "Zachary Bass voto por White Icicle!\n", + "Hayley Coverdale voto por White Icicle!\n", + "David Moynihan voto por White Icicle!\n", + "Angus De Mestre voto por White Icicle!\n", + "Emily Plante voto por White Icicle!\n", + "Kiara Maxwell-Mahon voto por White Icicle!\n", + "Alex Falk voto por White Icicle!\n", + "George Carandini voto por White Icicle!\n", + "Makayla Fairbairn voto por White Icicle!\n", + "Yue Wan Yeh voto por White Icicle!\n", + "Timothy Beeton voto por White Icicle!\n", + "Blake Hurst voto por White Icicle!\n", + "Zhen Juan Tsai voto por White Icicle!\n", + "Christopher Moss voto por White Icicle!\n", + "Alicia Farmer voto por White Icicle!\n", + "Jasmine Baughan voto por White Icicle!\n", + "Dominic Nangle voto por White Icicle!\n", + "Yue Yan Hu voto por White Icicle!\n", + "Adele Buccho voto por White Icicle!\n", + "Archie Mathy voto por White Icicle!\n", + "Pia Folliero voto por White Icicle!\n", + "Koby Ledger voto por White Icicle!\n", + "Jasper Harper voto por White Icicle!\n", + "Patrick Tilly voto por White Icicle!\n", + "Isabelle Camden voto por White Icicle!\n", + "Amy Clunie voto por White Icicle!\n", + "Declan Winston voto por White Icicle!\n", + "James Luke voto por White Icicle!\n", + "Riley Stewart voto por White Icicle!\n", + "Rory Evenden voto por White Icicle!\n", + "Eleuterio Lombardo voto por White Icicle!\n", + "Yong Hsiao voto por White Icicle!\n", + "Toby Queale voto por White Icicle!\n", + "Jasper Alfred voto por White Icicle!\n", + "Durante Ferri voto por White Icicle!\n" + ] + } + ], + "prompt_number": 16 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Asignacion de variables en Python\n", + "\n", + "Si notaron en el codigo anterior, hemos asignado los valores a las variables `nombre, voto` en una sola linea. En lugar de asignar valores por separado a cada elemento, podemos asignarlos al mismo tiempo usando una tecnica que se llama `asignacion multiple`. La linea :\n", + "\n", + " nombre, voto = partes\n", + " \n", + "asigna a cada variable el elemento correspondiente en la lista. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Tomen un momento para jugar con esta idea de asignacion multiple en IPython Notebook escribiendo instrucciones como las siguientes:\n", + "\n", + " a, b, c = [1, 2, 3]\n", + " print(b)\n", + " print(a)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Y las siguientes:\n", + "\n", + " name, cheese, cracker = \"Fred,Jarlsberg,Rye\".split(\",\")\n", + " print(cheese)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Escriban sus observaciones:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Es probable que hayan notado que las asignacion multiple de variables unicamente funciona cuando el numero de elementos que se van a asignar del lado izquiero del \" = \" es igual al numero del lado derecho." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Por ejemplo, la siguiente asignacion no funciona:\n", + "\n", + " x, y, z = [1, 2]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Tampoco esta:\n", + "\n", + " nombre, queso, galleta = \"Sara,Manchego,Rye,Gamesa\".split(\",\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Como pueden ver en la documentacion de `split()`, puden pasar un segundo argumento, opcional, que indica el maximo numero de veces que se aplicara `split` a la cadena. Esto puede usarse para prevenir errores al crear demasiados elementos:\n", + "\n", + " nombre, queso, galleta = \"Sara,Manchego,Rye,Gamesa\".split(\",\",2)\n", + " print(nombre)\n", + " print(galleta)\n", + "\n", + "Intentenlo!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Nota: el argumento opcional es *el numero de veces que se aplicara `split` a la cadena,* **no** el numero de partes en las que se dividira. Asi, separando usando `split` una vez crea dos cadenas, separando dos veces crea tres cadenas, etc." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Tip\n", + "En Python, la asignacion multiple de variable usa un tipo de datos llamado `tuple` o *tupla* y un concepto que puede entenderse como \"secuencia de desempaque\" o \"desempaque secuencial\". Veran un poco mas de este tipo de datos en una de sus actividades. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Contando los votos\n", + "\n", + "Podrian escribir un programa que cuenta el numero total de votos del rabano *White Icicle*?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Usen la solucion anterior como base de inicio. Necesitaran una variable que vaya registrando los votos para el rabano que debe de incrementar en una unidad cada vez que encuentren el rabano *White Icicle* dentro de la iteracion." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Solucion\n", + "\n", + " print(\"Contando votos para White Icicle...\")\n", + " cuenta = 0\n", + " for linea in open(\"encuestarabanos.txt\"):\n", + " linea = linea.strip()\n", + " nombre, voto = linea.split(\" - \")\n", + " if voto == \"White Icicle\":\n", + " cuenta = cuenta + 1\n", + " print(cuenta)\n", + " " + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "print(\"Contando votos para White Icicle...\")\n", + "cuenta = 0\n", + "for linea in open(\"encuestarabanos.txt\"):\n", + " linea = linea.strip()\n", + " nombre, voto = linea.split(\" - \")\n", + " if voto == \"White Icicle\":\n", + " cuenta = cuenta + 1\n", + "print(cuenta)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Contando votos para White Icicle...\n", + "59\n" + ] + } + ], + "prompt_number": 25 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Escribiendo una funcion\n", + "\n", + "Podrian escribir este codigo como una funcion? Necesitamos especificar como argumento el nombre del rabano del cual queremos contar votos, y la funcion debe regresarnos el numero de votos de esa especie.\n", + "\n", + "Escribir una funcion nos permitira reusar el codigo y evitar tener que reescribirlo para cada una de las variedades de rabanos en nuestra lista.\n", + "\n", + "Prueben que su codigo funciona correctamente usando como caso de prueba los votos del rabano _White Icicle_ que acabamos de contar.\n", + "\n", + "# Escriban y ejecuten el codigo en esta celda\n", + "\n", + "Usando la funcion, escriban un programa que cuenta votos para los rabanod White Icicle, Daikon y Sicily Giant, e impriman los votos de cada uno.\n", + "\n", + "# Escriban y ejecuten el codigo en esta celda\n", + "\n", + "# Contando Todos los votos\n", + "\n", + "Contar los votos de cada variedad de rabano consumira algo de tiempo. De entrada necesitamos saber *a priori* los nombres de todos los tipos de rabanos en nuestra encuesta y necesitariamos iterar el archivo multiples veces para encontrar cada uno. \n", + "\n", + "Podremos idear una forma de automaticamente encontrar las variedades por las que se han votado y contarlas en el mismo paso? Imaginemos que el programa creara este contenido de una forma similar a:\n", + "\n", + " {\n", + " 'White Icicle': 65,\n", + " 'Snow Belle': 63,\n", + " 'Champion': 76,\n", + " 'Cherry Belle': 58,\n", + " 'Daikon': 63,\n", + " 'French Breakfast': 72,\n", + " 'Bunny Tail': 72,\n", + " 'Sicily Giant': 57,\n", + " 'Red King': 56,\n", + " 'Plum Purple': 56,\n", + " 'April Cross': 72\n", + " }\n", + " \n", + "Les recuerda algo esta estructura?\n", + "\n", + "Si!\n", + "\n", + "Necesitamos una estructura de datos en la que podamos asociar la variedad de rabano con el numero de votos. Que tal un diccionario? Seria perfecto no?\n", + "\n", + "Pueden hacer este programa? Empiecen con los programas anteriores que cuentan votos y traten de modificarlos para contar todas las variedades.\n", + "\n", + "Aqui tiene un par de elementos de codigo que pueden ser de utilidad:\n", + "\n", + " # Para crear un diccionario vacio en el que se asociaran los nombres de rabanos\n", + " # con el numero de votos contados pueden usar\n", + " cuenta = {}\n", + "\n", + "y\n", + "\n", + " if voto not in cuenta:\n", + " # Primer voto para esta variedad\n", + " cuenta[voto] = 1\n", + " else:\n", + " # Incrementa la cuenta en +1 voto\n", + " cuenta[voto] = cuenta[voto] + 1\n", + "\n", + "Recuerde que en un diccionario, `cuenta[voto]` significa \"el valor en `cuenta` que esta asociado a la llave `voto`\". En este caso la llave es una cadena de texto con el nombre del rabano, y el valor es un numero que corresponde al numero de votos contados.\n", + "\n", + "# Escriban y ejecuten el codigo en esta celda\n", + "\n", + " # Create an empty dictionary for associating radish names\n", + " # with vote counts\n", + " counts = {}\n", + "\n", + " for line in open(\"radishsurvey.txt\"):\n", + " line = line.strip()\n", + " name, vote = line.split(\" - \")\n", + " if vote not in counts:\n", + " # First vote for this variety\n", + " counts[vote] = 1\n", + " else:\n", + " # Increment the vote count\n", + " counts[vote] = counts[vote] + 1\n", + " print(counts)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Impresion \n", + "\n", + "El resultado del programa anterior se ve un poco complicado de leer. Quisieramos imprimir los datos de manera tal que sea mas facil de leer por humanos. Para lograr esto, en lugar de\n", + "\n", + " print(cuenta)\n", + "\n", + "podemos usar:\n", + "\n", + " for nom in cuenta:\n", + " c = cuenta[nom]\n", + " print(nom + \": \" + str(c))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Modifiquen su programa y describan que ocurre con estos cambios. Respondan lo siguiente en esta celda\n", + "\n", + "* Que hace esta opcion a diferencia de la anterior\n", + "\n", + "* Sobre que itera la linea `for nom in cuenta`? Que esta realizando esta instruccion? Porque tenemos que usar `c = cuenta[nom]`?\n", + "\n", + "* Porque usamos `str(c)`? Para responder quiten el llamado `str()` y vean que ocurre." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Nota\n", + "Python necesita distinguir entre cadenas y numeros por varias razones. Por ejemplo que hacen las siguientes instrucciones:\n", + " \n", + " 12 + 1\n", + " '12' + '1'\n", + "\n", + "### Tip\n", + "\n", + "Python tiene un modulo llamado [pprint](http://docs.python.org/3/library/pprint.html) que facilita la impresion de texto:\n", + "\n", + " from pprint import pprint\n", + " pprint(some_dictionary)\n", + "\n", + "Usenlo en su programa!\n", + "\n", + "### Super Tip\n", + "\n", + "En IPython Notebook podemos automaticamente imprimir las cosas en un formato decente. Basta con que el ultimo llamado de la celda sea lo que quieren imprimir.\n", + "\n", + "Asi, si reemplazan `print(cuenta)` simplemente por `cuenta` en la ultima linea de la celda, el formato de salida es legible." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "counts = {}\n", + "for line in open(\"../encuestarabanos.txt\"):\n", + " line = line.strip()\n", + " name, vote = line.split(\" - \")\n", + " if vote not in counts:\n", + " # First vote for this variety\n", + " counts[vote] = 1\n", + " else:\n", + " # Increment the vote count\n", + " counts[vote] = counts[vote] + 1\n", + "print(counts)\n", + "print \n", + "for nom in counts:\n", + " c = counts[nom]\n", + " print(nom + \": \" + str(c))\n", + "print\n", + "from pprint import pprint\n", + "pprint(counts)\n", + "counts" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "{'white icicle': 5, 'Snow Belle': 58, 'sicily giant': 3, 'April Cross': 67, 'Plum Purple': 1, 'snow belle': 3, ' Plum Purple': 1, 'April cross': 1, 'Sicily Giant': 1, ' Snow Belle': 2, 'Champion': 75, 'Cherry Belle': 53, ' Daikon': 1, 'Bunny Tail': 68, 'bunny tail': 4, 'Red King': 52, 'french breakfast': 7, 'plum purple': 1, 'White Icicle': 59, 'champion': 1, 'cherry belle': 2, 'Daikon': 58, 'Sicily Giant': 52, ' plum purple': 1, 'april cross': 4, ' Red King': 1, 'red king': 3, ' White Icicle': 1, ' Cherry Belle': 2, 'daikon': 4, 'Cherry Belle': 1, ' Sicily Giant': 1, 'French Breakfast': 65, 'Plum Purple': 53}\n", + "\n", + "white icicle: 5\n", + "Snow Belle: 58\n", + "sicily giant: 3\n", + "April Cross: 67\n", + "Plum Purple: 1\n", + "snow belle: 3\n", + " Plum Purple: 1\n", + "April cross: 1\n", + "Sicily Giant: 1\n", + " Snow Belle: 2\n", + "Champion: 75\n", + "Cherry Belle: 53\n", + " Daikon: 1\n", + "Bunny Tail: 68\n", + "bunny tail: 4\n", + "Red King: 52\n", + "french breakfast: 7\n", + "plum purple: 1\n", + "White Icicle: 59\n", + "champion: 1\n", + "cherry belle: 2\n", + "Daikon: 58\n", + "Sicily Giant: 52\n", + " plum purple: 1\n", + "april cross: 4\n", + " Red King: 1\n", + "red king: 3\n", + " White Icicle: 1\n", + " Cherry Belle: 2\n", + "daikon: 4\n", + "Cherry Belle: 1\n", + " Sicily Giant: 1\n", + "French Breakfast: 65\n", + "Plum Purple: 53\n", + "\n", + "{' Cherry Belle': 2,\n", + " ' Daikon': 1,\n", + " ' Plum Purple': 1,\n", + " ' Red King': 1,\n", + " ' Sicily Giant': 1,\n", + " ' Snow Belle': 2,\n", + " ' White Icicle': 1,\n", + " ' plum purple': 1,\n", + " 'April Cross': 67,\n", + " 'April cross': 1,\n", + " 'Bunny Tail': 68,\n", + " 'Champion': 75,\n", + " 'Cherry Belle': 1,\n", + " 'Cherry Belle': 53,\n", + " 'Daikon': 58,\n", + " 'French Breakfast': 65,\n", + " 'Plum Purple': 1,\n", + " 'Plum Purple': 53,\n", + " 'Red King': 52,\n", + " 'Sicily Giant': 1,\n", + " 'Sicily Giant': 52,\n", + " 'Snow Belle': 58,\n", + " 'White Icicle': 59,\n", + " 'april cross': 4,\n", + " 'bunny tail': 4,\n", + " 'champion': 1,\n", + " 'cherry belle': 2,\n", + " 'daikon': 4,\n", + " 'french breakfast': 7,\n", + " 'plum purple': 1,\n", + " 'red king': 3,\n", + " 'sicily giant': 3,\n", + " 'snow belle': 3,\n", + " 'white icicle': 5}\n" + ] + }, + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 11, + "text": [ + "{' Cherry Belle': 2,\n", + " ' Daikon': 1,\n", + " ' Plum Purple': 1,\n", + " ' Red King': 1,\n", + " ' Sicily Giant': 1,\n", + " ' Snow Belle': 2,\n", + " ' White Icicle': 1,\n", + " ' plum purple': 1,\n", + " 'April Cross': 67,\n", + " 'April cross': 1,\n", + " 'Bunny Tail': 68,\n", + " 'Champion': 75,\n", + " 'Cherry Belle': 1,\n", + " 'Cherry Belle': 53,\n", + " 'Daikon': 58,\n", + " 'French Breakfast': 65,\n", + " 'Plum Purple': 1,\n", + " 'Plum Purple': 53,\n", + " 'Red King': 52,\n", + " 'Sicily Giant': 1,\n", + " 'Sicily Giant': 52,\n", + " 'Snow Belle': 58,\n", + " 'White Icicle': 59,\n", + " 'april cross': 4,\n", + " 'bunny tail': 4,\n", + " 'champion': 1,\n", + " 'cherry belle': 2,\n", + " 'daikon': 4,\n", + " 'french breakfast': 7,\n", + " 'plum purple': 1,\n", + " 'red king': 3,\n", + " 'sicily giant': 3,\n", + " 'snow belle': 3,\n", + " 'white icicle': 5}" + ] + } + ], + "prompt_number": 11 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Cleaning (\"Munging\") data\n", + "\n", + "Revisen la lista de los votos contados. Veran cosas extra\u00f1as como :\n", + "\n", + " Red King: 1\n", + " red king: 3\n", + " White Icicle: 1\n", + " Cherry Belle: 2\n", + " daikon: 4\n", + " Cherry Belle: 1\n", + "\n", + "Este es un ejemplo de lo que se denomina *datos sucios*. Para la computadora \"Red King\" y \"red King\" se ven diferentes porque los caracteres son distintos. Lo mismo o curre con \"Cherry Belle\" y \" Cherry Belle\" debido al caracter de espacio vacio.\n", + "\n", + "Necesitamos una forma de *limpiar* los datos, de modo que se vean todos iguales.\n", + "\n", + "Ya hemos usado una funcion para limpiar los datos: `strip()`. Apliquen `strip()` a cada una de las opciones de voto para evitar diferencias como \" Cherry Belle\" y \"Cherry Belle\"." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Que podemos hacer con cosas como \"Red King\" y \"red king\"? \n", + "\n", + "\n", + "Existen diversas funciones que pueden ayudar a obtener el resultado deseado.\n", + "\n", + "* `str.lower()` convierte todos los caracteres a minusculas,\n", + "* `str.upper()` convierte TODOS LOS CARACTERES EN MAYUSCULAS\n", + "* `str.capitalize()` convierte solamente el Primer caracter a mayuscula\n", + "\n", + "Pueden revisen la documentacion de [Python en referencia a funciones de cadenas](http://docs.python.org/3/library/stdtypes.html#string-methods) y pueden usar la documentacion en linea usando `?`" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda\n", + "counts = {}\n", + "for line in open(\"../encuestarabanos.txt\"):\n", + " line = line.strip()\n", + " name, vote = line.split(\" - \")\n", + " # munge the vote string to clean it up\n", + " vote = vote.strip()\n", + " vote = vote.capitalize()\n", + " if not vote in counts:\n", + " # First vote for this variety\n", + " counts[vote] = 1\n", + " else:\n", + " # Increment the vote count\n", + " counts[vote] = counts[vote] + 1\n", + "counts" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 17, + "text": [ + "{'April cross': 72,\n", + " 'Bunny tail': 72,\n", + " 'Champion': 76,\n", + " 'Cherry belle': 1,\n", + " 'Cherry belle': 57,\n", + " 'Daikon': 63,\n", + " 'French breakfast': 72,\n", + " 'Plum purple': 1,\n", + " 'Plum purple': 56,\n", + " 'Red king': 56,\n", + " 'Sicily giant': 1,\n", + " 'Sicily giant': 56,\n", + " 'Snow belle': 63,\n", + " 'White icicle': 65}" + ] + } + ], + "prompt_number": 17 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Todavia nos falta para llegar al final ...\n", + "\n", + "Si observan la lista, todavia hay cosas raras como \n", + "\n", + " Sicily giant: 1\n", + " Plum purple: 1\n", + " Cherry belle: 1\n", + "\n", + "Todos estos tienen en comun un doble espacio entre palabras. Estos errores de tipografia son comunes.\n", + "\n", + "La funcino `strip()` unicamente quito el espacio en blanco al inicio de y al final de la cadena de texto. Para reemplazar espacios dobles por espacios sencillos puede usarse `replace`:\n", + "\n", + " voto = voto.replace(\" \", \" \")\n", + "\n", + "Agreguen esta linea a su programa y desplieguen el resultado" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda\n", + "counts = {}\n", + "for line in open(\"../encuestarabanos.txt\"):\n", + " line = line.strip()\n", + " name, vote = line.split(\" - \")\n", + " # munge the vote string to clean it up\n", + " vote = vote.strip()\n", + " vote = vote.capitalize()\n", + " vote = vote.replace(' ', ' ')\n", + " if not vote in counts:\n", + " # First vote for this variety\n", + " counts[vote] = 1\n", + " else:\n", + " # Increment the vote count\n", + " counts[vote] = counts[vote] + 1\n", + "counts" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 18, + "text": [ + "{'April cross': 72,\n", + " 'Bunny tail': 72,\n", + " 'Champion': 76,\n", + " 'Cherry belle': 58,\n", + " 'Daikon': 63,\n", + " 'French breakfast': 72,\n", + " 'Plum purple': 57,\n", + " 'Red king': 56,\n", + " 'Sicily giant': 57,\n", + " 'Snow belle': 63,\n", + " 'White icicle': 65}" + ] + } + ], + "prompt_number": 18 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Votos dobles?\n", + "\n", + "Hasta el momento hemos contado votos sin revisar los nombres de las personas que votaron. Que pasa, por ejemplo, si alguien voto dos veces?\n", + "\n", + "Pueden modificar el programa para que de una advertencia si alguien voto dos veces?\n", + "\n", + "## Tip\n", + "\n", + "Necesitan hacer una lista con los nombres de todos los que han votado. Cada vez que encuentren un nombre nuevo, checan si ya esta en la lista. Si no esta, agregan el nombre a la lista usando el metodo `.append()`, por ejemplo\n", + "\n", + " votantes = [] # crea una lista vacia\n", + " ...\n", + " # si nombre no esta en votantes\n", + " votantes.append(nombre)\n", + " ...\n", + "\n", + "Es probable que tengan que aplicar algunas de las tecnicas para limpiar los nombres de los votantes, de manera que, por ejemplo \"Joanne Smith\" y \"joanne smith\" se cuenten como la misma persona." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda\n", + "\n", + "# Create an empty dictionary for associating radish names\n", + "# with vote counts\n", + "counts = {}\n", + "\n", + "# Create an empty list with the names of everyone who voted\n", + "voted = []\n", + "\n", + "for line in open(\"../encuestarabanos.txt\"):\n", + " line = line.strip()\n", + " name, vote = line.split(\" - \")\n", + " # clean up the person's name\n", + " name = name.strip().capitalize().replace(\" \",\" \")\n", + " # check if this person already voted\n", + " if name in voted:\n", + " print(name + \" has already voted! Fraud!\")\n", + " continue\n", + " voted.append(name)\n", + " # munge the vote string to clean it up\n", + " vote = vote.strip().capitalize().replace(\" \",\" \")\n", + " if not vote in counts:\n", + " # First vote for this variety\n", + " counts[vote] = 1\n", + " else:\n", + " # Increment the vote count\n", + " counts[vote] += 1\n", + " \n", + "print(\"Results:\")\n", + "print()\n", + "for name in counts:\n", + " print(name + \": \" + str(counts[name])) " + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Phoebe barwell has already voted! Fraud!\n", + "Procopio zito has already voted! Fraud!\n", + "Results:\n", + "()\n", + "White icicle: 64\n", + "Snow belle: 63\n", + "Champion: 76\n", + "Cherry belle: 58\n", + "French breakfast: 72\n", + "Daikon: 63\n", + "Bunny tail: 72\n", + "Sicily giant: 57\n", + "Red king: 56\n", + "Plum purple: 56\n", + "April cross: 72\n" + ] + } + ], + "prompt_number": 20 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Factorizando nuestro codigo\n", + "\n", + "Nuestro programa comienza a hacerse un poco largo y complejo. Puede tener muchos comentarios explicando que realiza una o varias secciones especificas, etc.\n", + "\n", + "Puede ser util separar en funciones cada parte, esto hara que sea mas facil de leer:\n", + "\n", + "* Una funcion que haga limpieza de cadenas para que sea mas facil comparar y encontrar iguales (hacemos exactamente lo mismo cuando limpiamos los nombres de rabanos o los nombres de votantes);\n", + "* Una funcion para checar si alguien ya ha votado;\n", + "* Una funcion para contar el voto.\n", + "\n", + "Intenten separando partes de su codigo en funciones, una por una sin deshacer la funcionalidad del programa.\n", + "\n", + "En IPython Notebook esto es muy sencillo porque pueden ejecutar la celda despues de cada cambio para ver si el programa sigue funcionando." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda\n", + "\n", + "# Create an empty dictionary for associating radish names\n", + "# with vote counts\n", + "counts = {}\n", + "\n", + "# Create an empty list with the names of everyone who voted\n", + "voted = []\n", + "\n", + "# Clean up (munge) a string so it's easy to match against other strings\n", + "def clean_string(s):\n", + " return s.strip().capitalize().replace(\" \",\" \")\n", + "\n", + "# Check if someone has voted already and return True or False\n", + "def has_already_voted(name):\n", + " if name in voted:\n", + " print(name + \" has already voted! Fraud!\")\n", + " return True\n", + " return False\n", + "\n", + "# Count a vote for the radish variety named 'radish'\n", + "def count_vote(radish):\n", + " if not radish in counts:\n", + " # First vote for this variety\n", + " counts[radish] = 1\n", + " else:\n", + " # Increment the radish count\n", + " counts[radish] = counts[radish] + 1\n", + "\n", + "\n", + "for line in open(\"../encuestarabanos.txt\"):\n", + " line = line.strip()\n", + " name, vote = line.split(\" - \")\n", + " name = clean_string(name)\n", + " vote = clean_string(vote)\n", + " \n", + " if not has_already_voted(name):\n", + " count_vote(vote)\n", + " voted.append(name)\n", + "\n", + "print(\"Results:\")\n", + "print()\n", + "for name in counts:\n", + " print(name + \": \" + str(counts[name]))" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Phoebe barwell has already voted! Fraud!\n", + "Procopio zito has already voted! Fraud!\n", + "Results:\n", + "()\n", + "White icicle: 64\n", + "Snow belle: 63\n", + "Champion: 76\n", + "Cherry belle: 58\n", + "French breakfast: 72\n", + "Daikon: 63\n", + "Bunny tail: 72\n", + "Sicily giant: 57\n", + "Red king: 56\n", + "Plum purple: 56\n", + "April cross: 72\n" + ] + } + ], + "prompt_number": 21 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Les parece que el codigo es mas facil de entender en esta forma \"modular\"?\n", + "\n", + "Para programas peque\u00f1os no es muy importante, pero para programas grandes puede ser muy importante hacerlo modular de modo que sea facil de entender y que pueda reusarse." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#Felicidades\n", + "\n", + "\"Radishes\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# El rabano ganador\n", + "\n", + "Finalmente queremos saber cual es el rabano preferido de nuestros clientes. Pueden actualizar el programa para que nos diga cual es el que tiene mas votos?\n", + "\n", + "## Hint\n", + "\n", + "Pueden iterar sobre todas las llaves de un diccionario usando \n", + "\n", + " for key in dictionary:\n", + "\n", + "en este ejemplo seria algo como \n", + "\n", + " for nom in cuenta:\n", + " \n", + "\n", + "Pueden hacer algo como esto:\n", + "\n", + " # Record the winning name and the votes cast for it\n", + " winner_name = \"No winner\"\n", + " winner_votes = 0\n", + " \n", + " for name in counts:\n", + " if counts[name] > winner_votes:\n", + " winner_votes = counts[name]\n", + " winner_name = name\n", + " \n", + " print(\"The winner is: \" + winner_name)\n", + "\n", + "Esta iteracion lleva nota de un nombre, `ganador`, y el numero de votos que tiene. Cada iteracion checa si otro nombre tiene mas votos que el ganador actual y de ser asi, actualiza el nombre de `ganador`." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicios finales\n", + "\n", + "* Escriban una funcion que encuentre el ganador\n", + "\n", + "* La solucion planteada no puede distinguir si hay empates en el numero de votos. Escriban una funcion que tome en cuenta estas situaciones." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Modulo siguiente\n", + "Antes de pasar al siguiente modulo, guarden los cambios realizados.\n", + "\n", + "En el siguiente modulo veremos como crear [graficas a partir de los datos](../Dia2/Lib10_GraficandoDatos.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia2/notebooks/Tutoriales/Lib10_Tutorial_GraficandoDatos.ipynb b/Dia2/notebooks/Tutoriales/Lib10_Tutorial_GraficandoDatos.ipynb new file mode 100644 index 0000000..b55a4bd --- /dev/null +++ b/Dia2/notebooks/Tutoriales/Lib10_Tutorial_GraficandoDatos.ipynb @@ -0,0 +1,242 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:f0bac7f6ca653b14680f01cd365d86d138464f812a3ffd83b456e1a6a6ecc1b1" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Visulizando nuestro problema\n", + "\n", + "En este modulo vamos a usar un poco mas la libreria `matplotlib` para crear graficas y diagramas basados en nuestros datos. Este proceso se conoce como visualizacion de datos.\n", + "\n", + "## Inline Charts\n", + "\n", + "Como hemos visto en otras sesiones, es neecsario ejecutar el comando especial:\n", + "\n", + " %matplotlib inline" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda\n", + "%matplotlib inline" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 4 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "para que las graficas aparezcan adentro, \"_inline_\", de IPython Notebook, y no en una ventana separada. Por ejemplo ejecuten el siguiente codigo:\n", + "\n", + " import matplotlib.pyplot as plt\n", + " vals = [3,2,5,0,1]\n", + " plt.plot(vals)\n", + " \n", + "Veran un diagrama formado con lineas en la libreta." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda\n", + "\n", + "import matplotlib.pyplot as plt\n", + "vals = [3,2,5,0,1]\n", + "plt.plot(vals)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 2, + "text": [ + "[]" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": 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1bNpSi5jZLs727fDFL8LChTBzJrzwAtx4I8yaVe7r2rSlFvE+2/m9/jrcfnvyj0ts25bM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\n", + "text": [ + "" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Matplotlib sin IPython Notebook\n", + "\n", + "Si quieren usar la libreria `matplotlib` directamente desde Python en lugar de hacerlo via IPython Notebook, lo unico que tienen que hacer es agregar al final del programa la instruccion:\n", + "\n", + " plt.show()\n", + "\n", + "Que hara que se despliegue una nueva ventana con la grafica creada, pausando el script hasta que la ventana se cierre." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Todos los ejemplos que siguen asumen que estamos usando `matplotlib` dentro de IPython Notebook, de modo que conviene recordar la linea con la que empezamos esta discusion, de otro modo no veran nada al ejecutar sus programas! (confirmen este comportamiento abriendo una nueva libreta y ejecutando las instrucciones para graficar las lineas _sin_ hacer el llamado a `%matplotlin inline`)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Votos de rabanos\n", + "\n", + "Usemos `matplotlib` para generar una grafica de barras que muestre los votos contados para cada variedad de rabanos. Copien el programa que hicieron en el modulo anterior y ejecutenlo para tener acceso a la variable que contiene los votos." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten el codigo en esta celda\n", + "counts = {}\n", + "for line in open(\"../encuestarabanos.txt\"):\n", + " line = line.strip()\n", + " name, vote = line.split(\" - \")\n", + " # munge the vote string to clean it up\n", + " vote = vote.strip()\n", + " vote = vote.capitalize()\n", + " vote = vote.replace(' ', ' ')\n", + " if not vote in counts:\n", + " # First vote for this variety\n", + " counts[vote] = 1\n", + " else:\n", + " # Increment the vote count\n", + " counts[vote] = counts[vote] + 1\n", + "# counts" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora copien el siguiente programa a una celda y ejecutenlo\n", + "\n", + " import matplotlib.pyplot as plt\n", + " import numpy as np\n", + " \n", + " names = []\n", + " votes = []\n", + " # Split the dictionary of name:votes into two lists, one for names and one for vote count\n", + " for radish in counts:\n", + " names.append(radish)\n", + " votes.append(counts[radish])\n", + " \n", + " # The X axis can just be numbered 0,1,2,3...\n", + " x = np.arange(len(counts))\n", + " \n", + " plt.bar(x, votes)\n", + " plt.xticks(x + 0.5, names, rotation=90)\n" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "names = []\n", + "votes = []\n", + "# Split the dictionary of name:votes into two lists, one for names and one for vote count\n", + "for radish in counts:\n", + " names.append(radish)\n", + " votes.append(counts[radish])\n", + " \n", + "# The X axis can just be numbered 0,1,2,3...\n", + "x = np.arange(len(counts))\n", + "\n", + "plt.bar(x, votes);\n", + "plt.xticks(x + 0.5, names, rotation=90);" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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+ "text": [ + "" + ] + } + ], + "prompt_number": 7 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicio\n", + "\n", + "Adapten el codigo para que el eje vertical tenga texto indicando que representa el numero de votos. La documentacion de la funcion [ylabel() de pyplot](http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.ylabel) puede ser de utilidad." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Mas informacion\n", + "\n", + "`matplotlib` y `pyplot` son _frameworks_ para graficacion y visualizacion poderosos y versatiles.\n", + "\n", + "La [galeria de ejemplos de `matplotlib`](http://matplotlib.org/gallery.html#pylab_examples) y [el tutorial de `pyplot`](http://matplotlib.org/users/pyplot_tutorial.html) contienen buenos ejemplos de las capacidades y opciones que ofrecen.\n", + "\n", + "En general, las herramientas de estos paquetes osn complejas, de modo que ayuda copiar y modificar los ejemplos. Seguiremos usando estas librerias a lo largo del curso." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Modulo siguiente\n", + "\n", + "Antes de pasar al siguiente modulo, guarden los cambios realizados a su documento.\n", + "\n", + "En el siguiente modulo seguiremos [analizando datos usando ejemplos reales](../Dia2/Lib11_ArchivosCSV.ipynb)" + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia2/notebooks/Tutoriales/Lib12_pandas.ipynb b/Dia2/notebooks/Tutoriales/Lib12_pandas.ipynb new file mode 100644 index 0000000..f683638 --- /dev/null +++ b/Dia2/notebooks/Tutoriales/Lib12_pandas.ipynb @@ -0,0 +1,3887 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:8e98f1c6d8650a1934effecb085e6daae17e2564c60ff48a68ec791d54979384" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Analisis de Datos\n", + "=======\n", + "\n", + "En este modulo repetiremos el analisis realizado en la libreta anterior utilizando la libreria `pandas`. Primero cargamos la libreria:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import pandas as pd\n", + "%matplotlib inline" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ya hemos usado esta libreria, en el [analisis de datos del estado del tiempo en Xalapa](). Ahora la usaremos para analizar los datos de vuelos a partir de las bases de datos del [proyecto OpenFlights](http://openflights.org/data.html)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Leyendo datos de vuelos \n", + "\n", + "Leer archivos de texto en format `.csv` usando pandas es muy sencillo:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "help( pd.read_csv)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Help on function read_csv in module pandas.io.parsers:\n", + "\n", + "read_csv(filepath_or_buffer, sep=',', dialect=None, compression=None, doublequote=True, escapechar=None, quotechar='\"', quoting=0, skipinitialspace=False, lineterminator=None, header='infer', index_col=None, names=None, prefix=None, skiprows=None, skipfooter=None, skip_footer=0, na_values=None, na_fvalues=None, true_values=None, false_values=None, delimiter=None, converters=None, dtype=None, usecols=None, engine=None, delim_whitespace=False, as_recarray=False, na_filter=True, compact_ints=False, use_unsigned=False, low_memory=True, buffer_lines=None, warn_bad_lines=True, error_bad_lines=True, keep_default_na=True, thousands=None, comment=None, decimal='.', parse_dates=False, keep_date_col=False, dayfirst=False, date_parser=None, memory_map=False, nrows=None, iterator=False, chunksize=None, verbose=False, encoding=None, squeeze=False, mangle_dupe_cols=True, tupleize_cols=False, infer_datetime_format=False)\n", + " Read CSV (comma-separated) file into DataFrame\n", + " \n", + " Also supports optionally iterating or breaking of the file\n", + " into chunks.\n", + " \n", + " Parameters\n", + " ----------\n", + " filepath_or_buffer : string or file handle / StringIO. The string could be\n", + " a URL. Valid URL schemes include http, ftp, s3, and file. For file URLs, a\n", + " host is expected. For instance, a local file could be\n", + " file ://localhost/path/to/table.csv\n", + " sep : string, default ','\n", + " Delimiter to use. If sep is None, will try to automatically determine\n", + " this. Regular expressions are accepted.\n", + " engine : {'c', 'python'}\n", + " Parser engine to use. The C engine is faster while the python engine is\n", + " currently more feature-complete.\n", + " lineterminator : string (length 1), default None\n", + " Character to break file into lines. Only valid with C parser\n", + " quotechar : string (length 1)\n", + " The character used to denote the start and end of a quoted item. Quoted\n", + " items can include the delimiter and it will be ignored.\n", + " quoting : int or csv.QUOTE_* instance, default None\n", + " Control field quoting behavior per ``csv.QUOTE_*`` constants. Use one of\n", + " QUOTE_MINIMAL (0), QUOTE_ALL (1), QUOTE_NONNUMERIC (2) or QUOTE_NONE (3).\n", + " Default (None) results in QUOTE_MINIMAL behavior.\n", + " skipinitialspace : boolean, default False\n", + " Skip spaces after delimiter\n", + " escapechar : string (length 1), default None\n", + " One-character string used to escape delimiter when quoting is QUOTE_NONE.\n", + " dtype : Type name or dict of column -> type\n", + " Data type for data or columns. E.g. {'a': np.float64, 'b': np.int32}\n", + " (Unsupported with engine='python')\n", + " compression : {'gzip', 'bz2', None}, default None\n", + " For on-the-fly decompression of on-disk data\n", + " dialect : string or csv.Dialect instance, default None\n", + " If None defaults to Excel dialect. Ignored if sep longer than 1 char\n", + " See csv.Dialect documentation for more details\n", + " header : int row number(s) to use as the column names, and the start of the\n", + " data. Defaults to 0 if no ``names`` passed, otherwise ``None``. Explicitly\n", + " pass ``header=0`` to be able to replace existing names. The header can be\n", + " a list of integers that specify row locations for a multi-index on the\n", + " columns E.g. [0,1,3]. Intervening rows that are not specified will be\n", + " skipped (e.g. 2 in this example are skipped). Note that this parameter\n", + " ignores commented lines, so header=0 denotes the first line of\n", + " data rather than the first line of the file.\n", + " skiprows : list-like or integer\n", + " Line numbers to skip (0-indexed) or number of lines to skip (int)\n", + " at the start of the file\n", + " index_col : int or sequence or False, default None\n", + " Column to use as the row labels of the DataFrame. If a sequence is given, a\n", + " MultiIndex is used. If you have a malformed file with delimiters at the end\n", + " of each line, you might consider index_col=False to force pandas to _not_\n", + " use the first column as the index (row names)\n", + " names : array-like\n", + " List of column names to use. If file contains no header row, then you\n", + " should explicitly pass header=None\n", + " prefix : string or None (default)\n", + " Prefix to add to column numbers when no header, e.g 'X' for X0, X1, ...\n", + " na_values : list-like or dict, default None\n", + " Additional strings to recognize as NA/NaN. If dict passed, specific\n", + " per-column NA values\n", + " true_values : list\n", + " Values to consider as True\n", + " false_values : list\n", + " Values to consider as False\n", + " keep_default_na : bool, default True\n", + " If na_values are specified and keep_default_na is False the default NaN\n", + " values are overridden, otherwise they're appended to\n", + " parse_dates : boolean, list of ints or names, list of lists, or dict\n", + " If True -> try parsing the index.\n", + " If [1, 2, 3] -> try parsing columns 1, 2, 3 each as a separate date column.\n", + " If [[1, 3]] -> combine columns 1 and 3 and parse as a single date column.\n", + " {'foo' : [1, 3]} -> parse columns 1, 3 as date and call result 'foo'\n", + " A fast-path exists for iso8601-formatted dates.\n", + " keep_date_col : boolean, default False\n", + " If True and parse_dates specifies combining multiple columns then\n", + " keep the original columns.\n", + " date_parser : function\n", + " Function to use for converting a sequence of string columns to an\n", + " array of datetime instances. The default uses dateutil.parser.parser\n", + " to do the conversion.\n", + " dayfirst : boolean, default False\n", + " DD/MM format dates, international and European format\n", + " thousands : str, default None\n", + " Thousands separator\n", + " comment : str, default None\n", + " Indicates remainder of line should not be parsed. If found at the\n", + " beginning of a line, the line will be ignored altogether. This parameter\n", + " must be a single character. Also, fully commented lines\n", + " are ignored by the parameter `header` but not by `skiprows`. For example,\n", + " if comment='#', parsing '#empty\n", + " 1,2,3\n", + " a,b,c' with `header=0` will\n", + " result in '1,2,3' being treated as the header.\n", + " decimal : str, default '.'\n", + " Character to recognize as decimal point. E.g. use ',' for European data\n", + " nrows : int, default None\n", + " Number of rows of file to read. Useful for reading pieces of large files\n", + " iterator : boolean, default False\n", + " Return TextFileReader object\n", + " chunksize : int, default None\n", + " Return TextFileReader object for iteration\n", + " skipfooter : int, default 0\n", + " Number of lines at bottom of file to skip (Unsupported with engine='c')\n", + " converters : dict. optional\n", + " Dict of functions for converting values in certain columns. Keys can either\n", + " be integers or column labels\n", + " verbose : boolean, default False\n", + " Indicate number of NA values placed in non-numeric columns\n", + " delimiter : string, default None\n", + " Alternative argument name for sep. Regular expressions are accepted.\n", + " encoding : string, default None\n", + " Encoding to use for UTF when reading/writing (ex. 'utf-8')\n", + " squeeze : boolean, default False\n", + " If the parsed data only contains one column then return a Series\n", + " na_filter : boolean, default True\n", + " Detect missing value markers (empty strings and the value of na_values). In\n", + " data without any NAs, passing na_filter=False can improve the performance\n", + " of reading a large file\n", + " usecols : array-like\n", + " Return a subset of the columns.\n", + " Results in much faster parsing time and lower memory usage.\n", + " mangle_dupe_cols : boolean, default True\n", + " Duplicate columns will be specified as 'X.0'...'X.N', rather than 'X'...'X'\n", + " tupleize_cols : boolean, default False\n", + " Leave a list of tuples on columns as is (default is to convert to\n", + " a Multi Index on the columns)\n", + " error_bad_lines : boolean, default True\n", + " Lines with too many fields (e.g. a csv line with too many commas) will by\n", + " default cause an exception to be raised, and no DataFrame will be returned.\n", + " If False, then these \"bad lines\" will dropped from the DataFrame that is\n", + " returned. (Only valid with C parser)\n", + " warn_bad_lines : boolean, default True\n", + " If error_bad_lines is False, and warn_bad_lines is True, a warning for each\n", + " \"bad line\" will be output. (Only valid with C parser).\n", + " infer_datetime_format : boolean, default False\n", + " If True and parse_dates is enabled for a column, attempt to infer\n", + " the datetime format to speed up the processing\n", + " \n", + " Returns\n", + " -------\n", + " result : DataFrame or TextParser\n", + "\n" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "aeropuertos = pd.read_csv('../airports.dat')\n", + "aeropuertos.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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1GorokaGoroka.1Papua New GuineaGKAAYGA-6.081689145.391881528210UPacific/Port_Moresby
0 2 Madang Madang Papua New Guinea MAG AYMD-5.207083 145.788700 20 10 U Pacific/Port_Moresby
1 3 Mount Hagen Mount Hagen Papua New Guinea HGU AYMH-5.826789 144.295861 5388 10 U Pacific/Port_Moresby
2 4 Nadzab Nadzab Papua New Guinea LAE AYNZ-6.569828 146.726242 239 10 U Pacific/Port_Moresby
3 5 Port Moresby Jacksons Intl Port Moresby Papua New Guinea POM AYPY-9.443383 147.220050 146 10 U Pacific/Port_Moresby
4 6 Wewak Intl Wewak Papua New Guinea WWK AYWK-3.583828 143.669186 19 10 U Pacific/Port_Moresby
\n", + "
" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 3, + "text": [ + " 1 Goroka Goroka.1 Papua New Guinea GKA AYGA \\\n", + "0 2 Madang Madang Papua New Guinea MAG AYMD \n", + "1 3 Mount Hagen Mount Hagen Papua New Guinea HGU AYMH \n", + "2 4 Nadzab Nadzab Papua New Guinea LAE AYNZ \n", + "3 5 Port Moresby Jacksons Intl Port Moresby Papua New Guinea POM AYPY \n", + "4 6 Wewak Intl Wewak Papua New Guinea WWK AYWK \n", + "\n", + " -6.081689 145.391881 5282 10 U Pacific/Port_Moresby \n", + "0 -5.207083 145.788700 20 10 U Pacific/Port_Moresby \n", + "1 -5.826789 144.295861 5388 10 U Pacific/Port_Moresby \n", + "2 -6.569828 146.726242 239 10 U Pacific/Port_Moresby \n", + "3 -9.443383 147.220050 146 10 U Pacific/Port_Moresby \n", + "4 -3.583828 143.669186 19 10 U Pacific/Port_Moresby " + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Los renglones indizados por numeros es consistente; tenemos que arreglar los titulos de las columnas. Por ejemplo" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "aeropuertos = pd.read_csv('../airports.dat', header=None)\n", + "aeropuertos.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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0 1 Goroka Goroka Papua New Guinea GKA AYGA-6.081689 145.391881 5282 10 U Pacific/Port_Moresby
1 2 Madang Madang Papua New Guinea MAG AYMD-5.207083 145.788700 20 10 U Pacific/Port_Moresby
2 3 Mount Hagen Mount Hagen Papua New Guinea HGU AYMH-5.826789 144.295861 5388 10 U Pacific/Port_Moresby
3 4 Nadzab Nadzab Papua New Guinea LAE AYNZ-6.569828 146.726242 239 10 U Pacific/Port_Moresby
4 5 Port Moresby Jacksons Intl Port Moresby Papua New Guinea POM AYPY-9.443383 147.220050 146 10 U Pacific/Port_Moresby
\n", + "
" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 4, + "text": [ + " 0 1 2 3 4 5 \\\n", + "0 1 Goroka Goroka Papua New Guinea GKA AYGA \n", + "1 2 Madang Madang Papua New Guinea MAG AYMD \n", + "2 3 Mount Hagen Mount Hagen Papua New Guinea HGU AYMH \n", + "3 4 Nadzab Nadzab Papua New Guinea LAE AYNZ \n", + "4 5 Port Moresby Jacksons Intl Port Moresby Papua New Guinea POM AYPY \n", + "\n", + " 6 7 8 9 10 11 \n", + "0 -6.081689 145.391881 5282 10 U Pacific/Port_Moresby \n", + "1 -5.207083 145.788700 20 10 U Pacific/Port_Moresby \n", + "2 -5.826789 144.295861 5388 10 U Pacific/Port_Moresby \n", + "3 -6.569828 146.726242 239 10 U Pacific/Port_Moresby \n", + "4 -9.443383 147.220050 146 10 U Pacific/Port_Moresby " + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos usar la informacion de la pagina de datos para especificar los nombres de cada columna. Esto puede hacerse especificando los nombres con el argumento `names` del metodo `read_csv` (ver la documentacion arriba):" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "encabezados = ('ID', 'Name','City','Country','IATA/FAA','ICAO','Latitude','Longitude','Altitude','Timezone','DST','Tz database time zone')\n", + "aeropuertos = pd.read_csv('../airports.dat', names = encabezados)\n", + "aeropuertos.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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IDNameCityCountryIATA/FAAICAOLatitudeLongitudeAltitudeTimezoneDSTTz database time zone
0 1 Goroka Goroka Papua New Guinea GKA AYGA-6.081689 145.391881 5282 10 U Pacific/Port_Moresby
1 2 Madang Madang Papua New Guinea MAG AYMD-5.207083 145.788700 20 10 U Pacific/Port_Moresby
2 3 Mount Hagen Mount Hagen Papua New Guinea HGU AYMH-5.826789 144.295861 5388 10 U Pacific/Port_Moresby
3 4 Nadzab Nadzab Papua New Guinea LAE AYNZ-6.569828 146.726242 239 10 U Pacific/Port_Moresby
4 5 Port Moresby Jacksons Intl Port Moresby Papua New Guinea POM AYPY-9.443383 147.220050 146 10 U Pacific/Port_Moresby
\n", + "
" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 5, + "text": [ + " ID Name City Country IATA/FAA \\\n", + "0 1 Goroka Goroka Papua New Guinea GKA \n", + "1 2 Madang Madang Papua New Guinea MAG \n", + "2 3 Mount Hagen Mount Hagen Papua New Guinea HGU \n", + "3 4 Nadzab Nadzab Papua New Guinea LAE \n", + "4 5 Port Moresby Jacksons Intl Port Moresby Papua New Guinea POM \n", + "\n", + " ICAO Latitude Longitude Altitude Timezone DST Tz database time zone \n", + "0 AYGA -6.081689 145.391881 5282 10 U Pacific/Port_Moresby \n", + "1 AYMD -5.207083 145.788700 20 10 U Pacific/Port_Moresby \n", + "2 AYMH -5.826789 144.295861 5388 10 U Pacific/Port_Moresby \n", + "3 AYNZ -6.569828 146.726242 239 10 U Pacific/Port_Moresby \n", + "4 AYPY -9.443383 147.220050 146 10 U Pacific/Port_Moresby " + ] + } + ], + "prompt_number": 5 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "aeropuertos.dtypes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 6, + "text": [ + "ID int64\n", + "Name object\n", + "City object\n", + "Country object\n", + "IATA/FAA object\n", + "ICAO object\n", + "Latitude float64\n", + "Longitude float64\n", + "Altitude int64\n", + "Timezone float64\n", + "DST object\n", + "Tz database time zone object\n", + "dtype: object" + ] + } + ], + "prompt_number": 6 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "aeropuertos.info()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "\n", + "Int64Index: 8107 entries, 0 to 8106\n", + "Data columns (total 12 columns):\n", + "ID 8107 non-null int64\n", + "Name 8107 non-null object\n", + "City 8107 non-null object\n", + "Country 8107 non-null object\n", + "IATA/FAA 5880 non-null object\n", + "ICAO 8043 non-null object\n", + "Latitude 8107 non-null float64\n", + "Longitude 8107 non-null float64\n", + "Altitude 8107 non-null int64\n", + "Timezone 8107 non-null float64\n", + "DST 8107 non-null object\n", + "Tz database time zone 8107 non-null object\n", + "dtypes: float64(3), int64(2), object(7)" + ] + } + ], + "prompt_number": 7 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Comparemos con el metodo usado para leer los datos en la libreta anterior:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import csv\n", + "latitudes = {}\n", + "f = open(\"../airports.dat\")\n", + "for renglon in csv.reader(f):\n", + " airport_id = renglon[0]\n", + " airport_name = renglon[1]\n", + " latitudes[airport_id] = float(renglon[6])" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 8 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Anteriormente leiamos el archivo linea por linea y debiamos asignar los valores leidos a una variable. Usando los metodos de `pandas` podemos leer todo el archivo en una sola instruccion y tener acceso a cada columna (y renglon) rapidamente. Por ejemplo comparemos la columna de latitudes del `Data Frame` con el diccionario creado:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "aeropuertos.Latitude" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 9, + "text": [ + "0 -6.081689\n", + "1 -5.207083\n", + "2 -5.826789\n", + "3 -6.569828\n", + "4 -9.443383\n", + "5 -3.583828\n", + "6 61.160517\n", + "7 64.190922\n", + "8 67.016969\n", + "9 76.531203\n", + "10 65.659994\n", + "11 65.283333\n", + "12 64.295556\n", + "13 65.952328\n", + "14 66.058056\n", + "...\n", + "8092 13.361002\n", + "8093 10.607220\n", + "8094 10.614922\n", + "8095 10.480174\n", + "8096 25.046176\n", + "8097 -29.716667\n", + "8098 34.256944\n", + "8099 36.136000\n", + "8100 48.850000\n", + "8101 49.616667\n", + "8102 50.066667\n", + "8103 50.575556\n", + "8104 50.883333\n", + "8105 48.618397\n", + "8106 32.755200\n", + "Name: Latitude, Length: 8107, dtype: float64" + ] + } + ], + "prompt_number": 9 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "latitudes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 10, + "text": [ + "{'1': -6.081689,\n", + " '10': 76.531203,\n", + " '100': 45.3225,\n", + " '1000': 17.917053,\n", + " '1001': -20.017431,\n", + " '1002': -17.751561,\n", + " '1003': -21.008083,\n", + " '1004': -18.095881,\n", + " '1005': -17.931806,\n", + " '1006': -16.519761,\n", + " '1007': -17.431917,\n", + " '1008': -18.997499,\n", + " '1009': -20.055333,\n", + " '101': 53.214167,\n", + " '1010': -20.289497,\n", + " '1011': -19.436394,\n", + " '1012': -18.629872,\n", + " '1013': -15.679053,\n", + " '1014': -9.953569,\n", + " '1015': -13.014631,\n", + " '1016': -13.789378,\n", + " '1017': -11.44475,\n", + " '1018': -29.462256,\n", + " '1019': -29.304053,\n", + " '102': 56.226944,\n", + " '1020': -4.38575,\n", + " '1021': 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24.287664,\n", + " '1928': 24.698283,\n", + " '193': 43.677223,\n", + " '1930': 26.511406,\n", + " '1931': 25.053814,\n", + " ...}" + ] + } + ], + "prompt_number": 10 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Imprimir los nombres de los aeropuertos en Mexico es tan sencillo que lo podemos hacer en una sola e intuitiva instruccion:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "aeropuertos.Name[aeropuertos.Country=='Mexico']" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 12, + "text": [ + "1749 General Juan N Alvarez Intl\n", + "1750 Del Norte Intl\n", + "1751 Jesus Teran Intl\n", + "1752 Bahias De Huatulco Intl\n", + "1753 General Mariano Matamoros\n", + "1754 Ciudad Acuna Intl New\n", + "1755 Ciudad Del Carmen Intl\n", + "1756 Nuevo Casas Grandes\n", + "1757 Chilpancingo\n", + "1758 Culiacan Intl\n", + "1759 Chetumal Intl\n", + "1760 Ciudad Obregon Intl\n", + "1761 Ingeniero Alberto Acuna Ongay Intl\n", + "1762 Abraham Gonzalez Intl\n", + "1763 General R Fierro Villalobos Intl\n", + "...\n", + "4487 Captain Rogelio Castillo National Airport\n", + "5853 Campo Cuatro Milpas Airport\n", + "5854 Isla de Cedros Airport\n", + "5855 Cabo San Lucas International Airport\n", + "5856 Bahia Tortugas Airfield\n", + "5857 Palo Verde Airport\n", + "6335 Ensenada Cruise Terminal\n", + "7034 HIBER\n", + "7529 Playa del Carmen Airport\n", + "7673 Costa maya port\n", + "7674 Costa maya port\n", + "7677 Hiberico Offshore Platform\n", + "7857 Cozumel Port\n", + "8072 Terminal Maritima\n", + "8073 Bahia San Lucas\n", + "Name: Name, Length: 94, dtype: object" + ] + } + ], + "prompt_number": 12 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicio\n", + "\n", + "Encuentren los nombres de los aeropuertos de un pais de su eleccion y escriban tambien sus coordenadas geograficas." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "## Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Histograma de las Rutas de Aerolinea\n", + "\n", + "## Ejercicio\n", + "\n", + "Leer el archivo de rutas de vuelos usando la libreria `pandas`, nombrando los encabezados correctamente de acuerdo al sitio del [proyecto OpenFlights](http://openflights.org/data.html)." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "## Escriban y ejecuten el codigo en esta celda" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Solucion\n", + "encabezados = ('Airline','Airline ID','Source airport','Source airport ID','Destination airport','Destination airport ID','Codeshare','Stops','Equipment')\n", + "rutas = pd.read_csv('../routes.dat', names = encabezados)\n", + "rutas[:8]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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AirlineAirline IDSource airportSource airport IDDestination airportDestination airport IDCodeshareStopsEquipment
0 2B 410 AER 2965 KZN 2990 NaN 0 CR2
1 2B 410 ASF 2966 KZN 2990 NaN 0 CR2
2 2B 410 ASF 2966 MRV 2962 NaN 0 CR2
3 2B 410 CEK 2968 KZN 2990 NaN 0 CR2
4 2B 410 CEK 2968 OVB 4078 NaN 0 CR2
5 2B 410 DME 4029 KZN 2990 NaN 0 CR2
6 2B 410 DME 4029 NBC 6969 NaN 0 CR2
7 2B 410 DME 4029 TGK \\N NaN 0 CR2
\n", + "
" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 15, + "text": [ + " Airline Airline ID Source airport Source airport ID Destination airport \\\n", + "0 2B 410 AER 2965 KZN \n", + "1 2B 410 ASF 2966 KZN \n", + "2 2B 410 ASF 2966 MRV \n", + "3 2B 410 CEK 2968 KZN \n", + "4 2B 410 CEK 2968 OVB \n", + "5 2B 410 DME 4029 KZN \n", + "6 2B 410 DME 4029 NBC \n", + "7 2B 410 DME 4029 TGK \n", + "\n", + " Destination airport ID Codeshare Stops Equipment \n", + "0 2990 NaN 0 CR2 \n", + "1 2990 NaN 0 CR2 \n", + "2 2962 NaN 0 CR2 \n", + "3 2990 NaN 0 CR2 \n", + "4 4078 NaN 0 CR2 \n", + "5 2990 NaN 0 CR2 \n", + "6 6969 NaN 0 CR2 \n", + "7 \\N NaN 0 CR2 " + ] + } + ], + "prompt_number": 15 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Nuevamente, Usaremos las dos fuentes de datos para calcular que tan separadas estan cada una de las rutas de cada aerolinea, y crearemos un histograma mostrando la distribucion de las distancias de vuelo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Veamos nuevamente los datos de aeropuertos que usaremos:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Solo necesitamos una porcion de los datos\n", + "# aeropuertos= pd.read_csv('../airports.dat', header=None)\n", + "ap_data = aeropuertos[[0,6,7]]\n", + "ap_data.info()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "\n", + "Int64Index: 8107 entries, 0 to 8106\n", + "Data columns (total 3 columns):\n", + "ID 8107 non-null int64\n", + "Latitude 8107 non-null float64\n", + "Longitude 8107 non-null float64\n", + "dtypes: float64(2), int64(1)" + ] + } + ], + "prompt_number": 16 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora veamos los datos de rutas:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Solo necesitamos una porcion de los datos\n", + "# rutas = pd.read_csv('../routes.dat', header=None)\n", + "rt_data = rutas[[3,5]]\n", + "rt_data.info()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "\n", + "Int64Index: 67663 entries, 0 to 67662\n", + "Data columns (total 2 columns):\n", + "Source airport ID 67663 non-null object\n", + "Destination airport ID 67663 non-null object\n", + "dtypes: object(2)" + ] + } + ], + "prompt_number": 17 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ven las diferencias?\n", + "Tratemos de convertir las columnas de rutas en enteros (representan IDs de aeropuertos):" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rt_data[:8]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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Source airport IDDestination airport ID
0 2965 2990
1 2966 2990
2 2966 2962
3 2968 2990
4 2968 4078
5 4029 2990
6 4029 6969
7 4029 \\N
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 18, + "text": [ + " Source airport ID Destination airport ID\n", + "0 2965 2990\n", + "1 2966 2990\n", + "2 2966 2962\n", + "3 2968 2990\n", + "4 2968 4078\n", + "5 4029 2990\n", + "6 4029 6969\n", + "7 4029 \\N" + ] + } + ], + "prompt_number": 18 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pueden ver que hay algunos elementos \"sucios\"? El metodo `pd.isnull` de pandas puede usarse en algunos casos pues contiene una lista de valores considerados como nulos. En este caso no servira porque `\\\\N` no se considera un elemento nulo." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "pd.isnull(rt_data[:8])" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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Source airport IDDestination airport ID
0 False False
1 False False
2 False False
3 False False
4 False False
5 False False
6 False False
7 False False
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 19, + "text": [ + " Source airport ID Destination airport ID\n", + "0 False False\n", + "1 False False\n", + "2 False False\n", + "3 False False\n", + "4 False False\n", + "5 False False\n", + "6 False False\n", + "7 False False" + ] + } + ], + "prompt_number": 19 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rt_data[rt_data == '\\\\N'] = np.nan" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 22 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rt_data[:8]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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Source airport IDDestination airport ID
0 2965 2990
1 2966 2990
2 2966 2962
3 2968 2990
4 2968 4078
5 4029 2990
6 4029 6969
7 4029 NaN
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 23, + "text": [ + " Source airport ID Destination airport ID\n", + "0 2965 2990\n", + "1 2966 2990\n", + "2 2966 2962\n", + "3 2968 2990\n", + "4 2968 4078\n", + "5 4029 2990\n", + "6 4029 6969\n", + "7 4029 NaN" + ] + } + ], + "prompt_number": 23 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rt_data_clean = rt_data.dropna()" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 24 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rt_data_clean.info()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "\n", + "Int64Index: 67202 entries, 0 to 67662\n", + "Data columns (total 2 columns):\n", + "Source airport ID 67202 non-null object\n", + "Destination airport ID 67202 non-null object\n", + "dtypes: object(2)" + ] + } + ], + "prompt_number": 25 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rt_data_clean = rt_data_clean.astype(int)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 28 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rt_data_clean.info()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "\n", + "Int64Index: 67202 entries, 0 to 67662\n", + "Data columns (total 2 columns):\n", + "Source airport ID 67202 non-null int64\n", + "Destination airport ID 67202 non-null int64\n", + "dtypes: int64(2)" + ] + } + ], + "prompt_number": 29 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "ap_data.info()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "\n", + "Int64Index: 8107 entries, 0 to 8106\n", + "Data columns (total 3 columns):\n", + "ID 8107 non-null int64\n", + "Latitude 8107 non-null float64\n", + "Longitude 8107 non-null float64\n", + "dtypes: float64(2), int64(1)" + ] + } + ], + "prompt_number": 30 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Obteniendo coordenadas de aeropuertos de salida\n", + "Ahora que tenemos los datos limpios podemos obtener las coordenadas geograficas de aquellos aeropuertos de salida de la base de datos de rutas" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "ap_data[ap_data['ID'] == rt_data_clean['Source airport ID'][0]]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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IDLatitudeLongitude
2886 2965 43.449928 39.956589
\n", + "
" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 31, + "text": [ + " ID Latitude Longitude\n", + "2886 2965 43.449928 39.956589" + ] + } + ], + "prompt_number": 31 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "ap_data_clean = ap_data.set_index('ID')" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 33 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "ap_data.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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IDLatitudeLongitude
0 1-6.081689 145.391881
1 2-5.207083 145.788700
2 3-5.826789 144.295861
3 4-6.569828 146.726242
4 5-9.443383 147.220050
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 35, + "text": [ + " ID Latitude Longitude\n", + "0 1 -6.081689 145.391881\n", + "1 2 -5.207083 145.788700\n", + "2 3 -5.826789 144.295861\n", + "3 4 -6.569828 146.726242\n", + "4 5 -9.443383 147.220050" + ] + } + ], + "prompt_number": 35 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "ap_data_clean.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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LatitudeLongitude
ID
1-6.081689 145.391881
2-5.207083 145.788700
3-5.826789 144.295861
4-6.569828 146.726242
5-9.443383 147.220050
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 36, + "text": [ + " Latitude Longitude\n", + "ID \n", + "1 -6.081689 145.391881\n", + "2 -5.207083 145.788700\n", + "3 -5.826789 144.295861\n", + "4 -6.569828 146.726242\n", + "5 -9.443383 147.220050" + ] + } + ], + "prompt_number": 36 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rt_data_clean.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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Source airport IDDestination airport ID
0 2965 2990
1 2966 2990
2 2966 2962
3 2968 2990
4 2968 4078
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 34, + "text": [ + " Source airport ID Destination airport ID\n", + "0 2965 2990\n", + "1 2966 2990\n", + "2 2966 2962\n", + "3 2968 2990\n", + "4 2968 4078" + ] + } + ], + "prompt_number": 34 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "sour = ap_data_clean.ix[rt_data_clean['Source airport ID']]\n", + "# ap_data_clean.loc[rt_data_clean['Source airport ID']]\n", + "sour.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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LatitudeLongitude
ID
2965 43.449928 39.956589
2966 46.283333 48.006278
2966 46.283333 48.006278
2968 55.305836 61.503333
2968 55.305836 61.503333
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 37, + "text": [ + " Latitude Longitude\n", + "ID \n", + "2965 43.449928 39.956589\n", + "2966 46.283333 48.006278\n", + "2966 46.283333 48.006278\n", + "2968 55.305836 61.503333\n", + "2968 55.305836 61.503333" + ] + } + ], + "prompt_number": 37 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "dest = ap_data_clean.ix[rt_data_clean['Destination airport ID']]\n", + "dest.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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LatitudeLongitude
ID
2990 55.606186 49.278728
2990 55.606186 49.278728
2962 44.225072 43.081889
2990 55.606186 49.278728
4078 55.012622 82.650656
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 38, + "text": [ + " Latitude Longitude\n", + "ID \n", + "2990 55.606186 49.278728\n", + "2990 55.606186 49.278728\n", + "2962 44.225072 43.081889\n", + "2990 55.606186 49.278728\n", + "4078 55.012622 82.650656" + ] + } + ], + "prompt_number": 38 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rt_data_clean.loc[0]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 49, + "text": [ + "Source airport ID 2965\n", + "Destination airport ID 2990\n", + "Name: 0, dtype: int64" + ] + } + ], + "prompt_number": 49 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rt_data_clean.loc[0]['Source airport ID']" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 54, + "text": [ + "2965" + ] + } + ], + "prompt_number": 54 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "latitudes_source_airports = ap_data_clean['Latitude'].ix[rt_data_clean['Source airport ID']]\n", + "latitudes_dest_airports = ap_data_clean['Latitude'].ix[rt_data_clean['Destination airport ID']]" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 58 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "longitudes_source_airports = ap_data_clean['Longitude'].ix[rt_data_clean['Source airport ID']]\n", + "longitudes_dest_airports = ap_data_clean['Longitude'].ix[rt_data_clean['Destination airport ID']]" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 61 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "source_lat = np.array(latitudes_source_airports)\n", + "source_long = np.array(longitudes_source_airports)\n", + "\n", + "dest_lat = np.array(latitudes_dest_airports)\n", + "dest_long = np.array(longitudes_dest_airports)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 69 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "distancias = distance(source_lat,source_long,dest_lat,dest_long)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 87 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "dist = pd.Series(distancias)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 91 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "dist.hist(bins=100)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 98, + "text": [ + "" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": 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+ "text": [ + "" + ] + } + ], + "prompt_number": 90 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ejercicio \n", + "Obtengan las coordenadas de aeropuertos de llegada\n" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "## Escriban y ejecuten el codigo en esta celda\n", + "cond = ap_data['ID'].isin(rt_data_clean['Destination airport ID'])\n", + "dest_latlon = ap_data[['Latitude', 'Longitude']][cond]\n", + "dest_latlon.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 321, + "text": [ + " Latitude Longitude\n", + "0 -6.081689 145.391881\n", + "1 -5.207083 145.788700\n", + "2 -5.826789 144.295861\n", + "3 -6.569828 146.726242\n", + "4 -9.443383 147.220050" + ] + } + ], + "prompt_number": 321 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Calculando la distancia entre rutas\n", + "ahora podemos aplicar la funcion que calcula la distancia entre coordenadas geograficas:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "load http://opentechschool.github.io/python-data-intro/files/geo_distance.py" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 315 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "source_latlon.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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LatitudeLongitude
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3-6.569828 146.726242
4-9.443383 147.220050
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 553, + "text": [ + " Latitude Longitude\n", + "0 -6.081689 145.391881\n", + "1 -5.207083 145.788700\n", + "2 -5.826789 144.295861\n", + "3 -6.569828 146.726242\n", + "4 -9.443383 147.220050" + ] + } + ], + "prompt_number": 553 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "dest_latlon.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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LatitudeLongitude
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4-9.443383 147.220050
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 327, + "text": [ + " Latitude Longitude\n", + "0 -6.081689 145.391881\n", + "1 -5.207083 145.788700\n", + "2 -5.826789 144.295861\n", + "3 -6.569828 146.726242\n", + "4 -9.443383 147.220050" + ] + } + ], + "prompt_number": 327 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rt_data.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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Source airport IDDestination airport ID
0 2965 2990
1 2966 2990
2 2966 2962
3 2968 2990
4 2968 4078
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 313, + "text": [ + " Source airport ID Destination airport ID\n", + "0 2965 2990\n", + "1 2966 2990\n", + "2 2966 2962\n", + "3 2968 2990\n", + "4 2968 4078" + ] + } + ], + "prompt_number": 313 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "ap_data.dtypes" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 230, + "text": [ + "ID int64\n", + "Latitude float64\n", + "Longitude float64\n", + "dtype: object" + ] + } + ], + "prompt_number": 230 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Este es un excelente problema \n", + "para que en equipos o grupos lo resuelvan, asi cada grupo puede proponer una solucion diferente!\n", + "\n", + "* Primero se asegura que el grupo entienda cual es el problema\n", + "* Brainstorming para buscar soluciones\n", + " * Que necesita para resolverlo -\n", + " * Como lo va a resolver - separar en partes para obtner cada una de las partes que necesita\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Una posible solucion se presenta\n", + "\n", + "Este problema consiste de varias partes:\n", + "\n", + "* Leer el archivo de aeropuertos `airports.dat` y crear un diccionario que relacione el identificador unico de cada aeropuerto (ID) con sus coordenadas geograficas (latitud y longitud). De esta manera podemos encontrar la localizacion de cada aeropuerto por medio de su identificador (ID).\n", + "\n", + "* Leer el archivo con las rutas `routes.dat` y obtener las IDs de los aeropuertos de salida y de destino. Buscar las coordenadas geograficas con base en la ID. Usando estas coordenadas, calcular la longitud de la ruta y agregarla a una lista de loingitudes de las rutas.\n", + "\n", + "* Graficar un histograma a partir de las longitudes para ver la distribucion de distancias de vuelo.\n", + "\n", + "## Solucion\n", + "\n", + " distances = []\n", + " f = open(\"routes.dat\")\n", + " for row in csv.reader(f):\n", + " source_airport = row[3]\n", + " dest_airport = row[5]\n", + " if source_airport in latitudes and dest_airport in latitudes:\n", + " source_lat = latitudes[source_airport]\n", + " source_long = longitudes[source_airport]\n", + " dest_lat = latitudes[dest_airport]\n", + " dest_long = longitudes[dest_airport]\n", + " distances.append(geo_distance.distance(source_lat,source_long,dest_lat,dest_long))\n", + "\n", + "**TIP:** You might come across an error like \"KeyError: \\\\N\" when you first run your program. This is another problem of 'dirty data', the \"routes.dat\" file contains some airports that aren't listed in \"airports.dat\". You can skip these routes by adding a test of the type `if airport in latitudes`. If you don't quite get what I mean, sneak a peek at the solution to see one way this could work." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rutas.head()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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AirlineAirline IDSource airportSource airport IDDestination airportDestination airport IDCodeshareStopsEquipment
0 2B 410 AER 2965 KZN 2990 NaN 0 CR2
1 2B 410 ASF 2966 KZN 2990 NaN 0 CR2
2 2B 410 ASF 2966 MRV 2962 NaN 0 CR2
3 2B 410 CEK 2968 KZN 2990 NaN 0 CR2
4 2B 410 CEK 2968 OVB 4078 NaN 0 CR2
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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 30, + "text": [ + " Airline Airline ID Source airport Source airport ID Destination airport \\\n", + "0 2B 410 AER 2965 KZN \n", + "1 2B 410 ASF 2966 KZN \n", + "2 2B 410 ASF 2966 MRV \n", + "3 2B 410 CEK 2968 KZN \n", + "4 2B 410 CEK 2968 OVB \n", + "\n", + " Destination airport ID Codeshare Stops Equipment \n", + "0 2990 NaN 0 CR2 \n", + "1 2990 NaN 0 CR2 \n", + "2 2962 NaN 0 CR2 \n", + "3 2990 NaN 0 CR2 \n", + "4 4078 NaN 0 CR2 " + ] + } + ], + "prompt_number": 30 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rutas['Source airport ID']" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 32, + "text": [ + "0 2965\n", + "1 2966\n", + "2 2966\n", + "3 2968\n", + "4 2968\n", + "5 4029\n", + "6 4029\n", + "7 4029\n", + "8 4029\n", + "9 6156\n", + "10 6156\n", + "11 2922\n", + "12 2952\n", + "13 2990\n", + "14 2990\n", + "...\n", + "67648 3361\n", + "67649 3361\n", + "67650 6794\n", + "67651 6794\n", + "67652 3330\n", + "67653 3330\n", + "67654 3363\n", + "67655 3363\n", + "67656 6337\n", + "67657 6337\n", + "67658 6334\n", + "67659 4029\n", + "67660 2912\n", + "67661 2912\n", + "67662 2913\n", + "Name: Source airport ID, Length: 67663, dtype: object" + ] + } + ], + "prompt_number": 32 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "aeropuertos.ID == rutas['Source airport ID']" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "ename": "ValueError", + "evalue": "Series lengths must match to compare", + "output_type": "pyerr", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0maeropuertos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mID\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mrutas\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Source airport ID'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32m/usr/lib/python2.7/dist-packages/pandas/core/ops.pyc\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m 549\u001b[0m \u001b[0mname\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_maybe_match_name\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mother\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 550\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mother\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 551\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Series lengths must match to compare'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 552\u001b[0m return self._constructor(na_op(self.values, other.values),\n\u001b[0;32m 553\u001b[0m index=self.index, name=name)\n", + "\u001b[1;31mValueError\u001b[0m: Series lengths must match to compare" + ] + } + ], + "prompt_number": 39 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Histogram\n", + "\n", + "La lista de distancias entre rutas que se guarda en la lista `distances` puede usarse para crear un histograma:\n", + "\n", + " import numpy as np\n", + " import matplotlib.pyplot as plt\n", + " %matplotlib inline\n", + "\n", + " plt.hist(distances, 100, facecolor='r')\n", + " plt.xlabel(\"Distance (km)\")\n", + " plt.ylabel(\"Number of flights\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Listo!\n", + "\n", + "Hemos usado datos del mundo real para graficarlos de una manera informativa! Es verdad que no son los resultados mas impactantes pero nos llevan en la direccion correcta para entender algunas tecnicas que se llevan a cabo en el analisis de datos.\n", + "\n", + "En el siguiente modulo volveremos a este ejemplo pero usando la libreria `pandas`. Por ahora, felicidades! y no olviden guardar los cambios a sus documentos." + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia2/notebooks/Untitled.ipynb b/Dia2/notebooks/Untitled.ipynb new file mode 100644 index 0000000..af2db74 --- /dev/null +++ b/Dia2/notebooks/Untitled.ipynb @@ -0,0 +1,103 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import android\n", + "droide=android.Android()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "%%file tempMexicoFDialog.py\n", + "import urllib2\n", + "import json\n", + "\n", + "f = urllib2.urlopen('http://api.wunderground.com/api/0def10027afaebb7/geolookup/conditions/forecast/q/Mexico/Mexico.json')\n", + "json_string = f.read()\n", + "parsed_json = json.loads(json_string)\n", + "location = parsed_json['location']['city']\n", + "temp_f = parsed_json['current_observation']['temp_f']\n", + "mens= \"La temperatura actual en %s es: %s F\" % (location, temp_f)\n", + "droide.makeToast(mens)\n", + "f.close()\n", + "\n", + "droide.dialogCreateAlert(mens)\n", + "\n", + "droide.dialogShow()\n", + "\n", + "droide.dialogDismiss()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "%%file acelerometro.py\n", + "import android\n", + "import time\n", + "\n", + "droid=android.Android()\n", + "\n", + "dt = 100\n", + "fin = 3000\n", + "\n", + "def getAccelerometerData():\n", + " '''\n", + " Simple function that reads the accelerometer sensor data\n", + " and returns it as a dataframe\n", + " '''\n", + " \n", + " tiempo = 0\n", + " droid.startSensingTimed(2, dt)\n", + " \n", + " lectura = []\n", + " \n", + " while tiempo <= fin:\n", + " accel_read.append(droid.sensorsReadAccelerometer().result)\n", + " time.sleep(dt/1000.0)\n", + " tiempo += dt\n", + " \n", + " droid.stopSensing();\n", + " \n", + " return lectura" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Dia2/notebooks/ZuzanaB.jpg b/Dia2/notebooks/ZuzanaB.jpg new file mode 100644 index 0000000..1a22ba0 Binary files /dev/null and b/Dia2/notebooks/ZuzanaB.jpg differ diff --git a/Dia2/notebooks/acelerometro.py b/Dia2/notebooks/acelerometro.py new file mode 100644 index 0000000..580d197 --- /dev/null +++ b/Dia2/notebooks/acelerometro.py @@ -0,0 +1,27 @@ +import android +import time + +droid=android.Android() + +dt = 100 +fin = 3000 + +def getAccelerometerData(): + ''' + Simple function that reads the accelerometer sensor data + and returns it as a dataframe + ''' + + tiempo = 0 + droid.startSensingTimed(2, dt) + + lectura = [] + + while tiempo <= fin: + accel_read.append(droid.sensorsReadAccelerometer().result) + time.sleep(dt/1000.0) + tiempo += dt + + droid.stopSensing(); + + return lectura \ No newline at end of file diff --git a/Dia2/notebooks/carota.jpg b/Dia2/notebooks/carota.jpg new file mode 100644 index 0000000..9941e90 Binary files /dev/null and b/Dia2/notebooks/carota.jpg differ diff --git a/Dia2/notebooks/haarcascade_frontalface_default.xml b/Dia2/notebooks/haarcascade_frontalface_default.xml new file mode 100644 index 0000000..bc2aa3c --- /dev/null +++ b/Dia2/notebooks/haarcascade_frontalface_default.xml @@ -0,0 +1,33314 @@ + + + +BOOST + HAAR + 24 + 24 + + 211 + + 0 + 25 + + <_> + 9 + -5.0425500869750977e+00 + + <_> + + 0 -1 0 -3.1511999666690826e-02 + + 2.0875380039215088e+00 -2.2172100543975830e+00 + <_> + + 0 -1 1 1.2396000325679779e-02 + + 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+ + + \ No newline at end of file diff --git a/Dia2/notebooks/tempMexicoCToastAndDialog.py b/Dia2/notebooks/tempMexicoCToastAndDialog.py new file mode 100644 index 0000000..34e9b2c --- /dev/null +++ b/Dia2/notebooks/tempMexicoCToastAndDialog.py @@ -0,0 +1,21 @@ +import android +import urllib2 +import json + +droide=android.Android() + +f = urllib2.urlopen('http://api.wunderground.com/api/0def10027afaebb7/geolookup/conditions/forecast/q/Mexico/Mexico.json') +json_string = f.read() +parsed_json = json.loads(json_string) +location = parsed_json['location']['city'] +temp_f = parsed_json['current_observation']['temp_c'] +mens= "La temperatura actual en %s es: %s C" % (location, temp_f) +f.close() + +droide.makeToast(mens) + +droide.dialogCreateAlert(mens) + +droide.dialogShow() + +droide.dialogDismiss() \ No newline at end of file diff --git a/Dia2/notebooks/tempMexicoF.py b/Dia2/notebooks/tempMexicoF.py new file mode 100644 index 0000000..397d0fe --- /dev/null +++ b/Dia2/notebooks/tempMexicoF.py @@ -0,0 +1,10 @@ +import urllib2 +import json + +f = urllib2.urlopen('http://api.wunderground.com/api/0def10027afaebb7/geolookup/conditions/forecast/q/Mexico/Mexico.json') +json_string = f.read() +parsed_json = json.loads(json_string) +location = parsed_json['location']['city'] +temp_f = parsed_json['current_observation']['temp_f'] +print "La temperatura actual en %s es: %s F" % (location, temp_f) +f.close() \ No newline at end of file diff --git a/Dia2/talktools.py b/Dia2/talktools.py new file mode 100644 index 0000000..5502160 --- /dev/null +++ b/Dia2/talktools.py @@ -0,0 +1,91 @@ +""" + Simple tools to style an IPython Notebook. + Author: htapia@lania.edu.mx (modified from Fernando Perez ) +""" + +#----------------------------------------------------------------------------- +# Imports +#----------------------------------------------------------------------------- + +# stdlib +import os + +# Third party +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +# %matplotlib inline + +# From IPython +from IPython.display import (HTML, Image, display, YouTubeVideo, Math, + Audio, clear_output, FileLinks) + +from IPython.core.pylabtools import figsize + +#----------------------------------------------------------------------------- +# Functions and classes +#----------------------------------------------------------------------------- + +def prefix(url): + prefix = '' if url.startswith('http') else 'http://' + return prefix + url + + +def simple_link(url, name=None): + name = url if name is None else name + url = prefix(url) + return '%s' % (url, name) + + +def html_link(url, name=None): + return HTML(simple_link(url, name)) + + +# Utility functions +def website(url, name='auto', width=800, height=450): + html = [] + name = url if name == 'auto' else name + if name: + html.extend(['
', + simple_link(url, name), + '
'] ) + + html.append('' % + (prefix(url), width, height)) + return HTML('\n'.join(html)) + + +def nbviewer(url, name=None, width=800, height=450): + return website('nbviewer.ipython.org/url/' + url, name, width, height) + + +def Video(fname): + from IPython.display import HTML, display + video = open(fname, "rb").read() + video_encoded = video.encode("base64") + video_tag = ''''''.format(video_encoded) + return HTML(data=video_tag) + + +def plot_audio(fname): + from scipy.io import wavfile + rate, x = wavfile.read(fname) + fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 4)) + ax1.plot(x); ax1.set_title('Raw audio signal') + ax2.specgram(x); ax2.set_title('Spectrogram'); + plt.show() + +#loads a customer marplotlib configuration file +def CustomPlot(): + import json + import matplotlib + from IPython.core.pylabtools import figsize + s = json.load( open("../../styles/matplotlibrc.json") ) + matplotlib.rcParams.update(s) + figsize(18, 6) +#----------------------------------------------------------------------------- +# Load and publish CSS +#----------------------------------------------------------------------------- +if __name__ == '__main__': + display(HTML(open("../../styles/matstyle.css", "r").read())) diff --git a/Dia3/Index.ipynb b/Dia3/Index.ipynb new file mode 100644 index 0000000..149fa0a --- /dev/null +++ b/Dia3/Index.ipynb @@ -0,0 +1,220 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:65689961f77038c3f797934ea7a3e6681f2e8223ac80767b94f20515ff4ce29d" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run ../talktools.py" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Dia 3\n", + "Accediendo a sensores moviles con (I)Python" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "FileLinks('notebooks',included_suffixes=['.ipynb'])" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "notebooks/
\n", + "  05_Adquiriendo_Datos_Accel-Copy0.ipynb
\n", + "  02_Distribuyendo_Datos_imagenes.ipynb
\n", + "  04_Adquiriendo_Datos_GPS.ipynb
\n", + "  05_Adquiriendo_Datos_Accel.ipynb
\n", + "  01_Adquiriendo_Datos_imagenes.ipynb
\n", + "  03_Procesando_Datos_imagenes.ipynb
" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 4, + "text": [ + "notebooks/\n", + " 05_Adquiriendo_Datos_Accel-Copy0.ipynb\n", + " 02_Distribuyendo_Datos_imagenes.ipynb\n", + " 04_Adquiriendo_Datos_GPS.ipynb\n", + " 05_Adquiriendo_Datos_Accel.ipynb\n", + " 01_Adquiriendo_Datos_imagenes.ipynb\n", + " 03_Procesando_Datos_imagenes.ipynb" + ] + } + ], + "prompt_number": 4 + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia3/files/SD_0826_105958.csv b/Dia3/files/SD_0826_105958.csv new file mode 100644 index 0000000..c32fe99 --- /dev/null +++ b/Dia3/files/SD_0826_105958.csv @@ -0,0 +1,101 @@ +,Timestamp,Accel_X,Accel_Y,Accel_Z,Roll,Pitch,Yaw,GravAcc_X,GravAcc_Y,GravAcc_Z,UserAcc_X,UserAcc_Y,UserAcc_Z,RotRate_X,RotRate_Y,RotRate_Z,MagHeading,TrueHeading,HeadingAccuracy,Lat,Long,LocAccuracy,Course,Speed,Altitude 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b/Dia3/files/Sensor_record_20141024_124129_AndroSensor.csv new file mode 100755 index 0000000..808a6ac --- /dev/null +++ b/Dia3/files/Sensor_record_20141024_124129_AndroSensor.csv @@ -0,0 +1,168 @@ +sep=; +ACCELEROMETER X (m/s²);ACCELEROMETER Y (m/s²);ACCELEROMETER Z (m/s²);GRAVITY X (m/s²);GRAVITY Y (m/s²);GRAVITY Z (m/s²);LINEAR ACCELERATION X (m/s²);LINEAR ACCELERATION Y (m/s²);LINEAR ACCELERATION Z (m/s²);GYROSCOPE X (rad/s);GYROSCOPE Y (rad/s);GYROSCOPE Z (rad/s);MAGNETIC FIELD X (μT);MAGNETIC FIELD Y (μT);MAGNETIC FIELD Z (μT);ORIENTATION X (°);ORIENTATION Y (°);ORIENTATION Z (°);PROXIMITY (i);SOUND LEVEL (dB);LOCATION Latitude : ;LOCATION Longitude : ;LOCATION Altitude ( m);LOCATION Speed ( Kmh);LOCATION Accuracy ( m);Satellites in range;Temperature (C);Level (%);Voltage (Volt);Time since start in ms ;YYYY-MO-DD HH-MI-SS_SSS +0.3172;3.4141;8.7843;0.1504;3.2931;9.236;0.1668;0.121;-0.4516;0.0468;-0.0925;-0.0195;1.93;-36.69;-18.16;184.55;-19.62;-0.93;2.0;42.328;19.519932;-96.91544;;;188.70969;0 / 2;28.8;96.0;4.225;222;2014-10-24 12:39:55:105 +-0.1891;2.2015;8.6921;-1.153;2.7405;9.3451;0.9639;-0.539;-0.6529;0.3147;0.0478;-0.0322;3.94;-35.55;-19.43;183.23;-16.23;7.03;2.0;42.628;19.519932;-96.91544;;;188.70969;0 / 4;28.8;96.0;4.225;805;2014-10-24 12:39:55:688 +-3.5291;0.9697;5.6515;-2.5132;3.0414;8.978;-1.0159;-2.0717;-3.3265;0.1884;0.0529;0.1249;2.46;-34.88;-19.94;179.31;-17.14;6.66;2.0;42.385;19.519932;-96.91544;;;188.70969;0 / 4;28.8;96.0;4.225;1411;2014-10-24 12:39:56:294 +-19.6127;0.5878;0.8092;-9.2648;-2.0155;2.5043;-10.3479;2.6033;-1.6951;2.3041;2.6547;-3.9905;35.55;-17.49;6.07;240.69;-6.99;58.08;0.0;42.575;19.519932;-96.91544;;;188.70969;0 / 3;28.8;96.0;4.225;2503;2014-10-24 12:39:57:386 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+1.8423;-9.5409;0.6201;2.0133;-9.519;1.227;-0.171;-0.0219;-0.6069;-0.0312;0.0446;-0.0051;-27.45;24.27;0.15;139.77;76.09;-58.64;0.0;62.892;19.519932;-96.91544;;;188.70969;0 / 1;28.8;96.0;4.225;12885;2014-10-24 12:40:07:768 +1.7645;-9.5792;0.4693;1.9736;-9.5785;0.7269;-0.2091;-7.0E-4;-0.2576;-0.04;0.0805;-0.0859;-27.51;24.42;-0.17;149.28;77.47;-65.37;0.0;42.292;19.519932;-96.91544;;;188.70969;0 / 1;28.8;96.0;4.225;13394;2014-10-24 12:40:08:277 +0.6273;-9.7827;-1.4473;2.3477;-9.5157;-0.3309;-1.7204;-0.267;-1.1164;-0.2762;0.9174;-0.0054;-28.94;21.95;-4.78;193.13;75.66;-90.54;0.0;56.638;19.519932;-96.91544;;;188.70969;0 / 0;28.8;96.0;4.225;13970;2014-10-24 12:40:08:853 +3.2597;-8.0278;-3.9804;3.5493;-8.8881;-2.1387;-0.2896;0.8604;-1.8417;-1.4712;2.4647;-0.1281;-26.59;22.64;-13.42;258.37;65.0;-121.07;0.0;55.499;19.519932;-96.91544;;;188.70969;0 / 0;28.8;96.0;4.225;14575;2014-10-24 12:40:09:458 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+-0.0946;-9.4188;-0.9158;1.7985;-9.6362;-0.2807;-1.893;0.2175;-0.6351;-0.1835;0.5265;0.312;6.37;30.34;20.48;67.47;78.41;-99.48;0.0;59.035;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;17429;2014-10-24 12:40:12:312 +5.7102;-8.9352;-3.4201;2.871;-9.1189;-2.185;2.8392;0.1837;-1.2351;-1.0701;1.8516;0.2084;-17.54;19.32;24.21;163.69;71.27;-130.93;0.0;71.778;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;18021;2014-10-24 12:40:12:904 +-0.237;-8.7568;-0.1185;0.9655;-9.7524;-0.3585;-1.2025;0.9956;0.2399;0.6446;-0.4843;0.9881;-25.75;22.51;7.68;204.62;64.49;-120.7;0.0;59.695;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;18571;2014-10-24 12:40:13:454 +1.8531;-10.8122;-1.549;1.192;-9.7214;0.4932;0.6611;-1.0908;-2.0422;-0.4167;-2.7799;-0.1722;-23.73;25.71;-3.39;162.0;82.44;-67.52;0.0;63.467;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;19084;2014-10-24 12:40:13:967 +3.6547;-3.401;0.4322;4.0185;-8.6554;-2.2598;-0.3637;5.2544;2.6919;-0.7261;2.9617;-0.9503;-29.69;17.71;-2.31;230.1;61.96;-119.35;0.0;66.101;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;19728;2014-10-24 12:40:14:611 +1.816;-9.6546;1.2103;2.9762;-9.3356;0.3987;-1.1602;-0.319;0.8116;0.4772;0.2025;0.3025;-18.7;20.3;-20.91;238.81;69.84;-89.58;0.0;63.448;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;20322;2014-10-24 12:40:15:205 +3.322;-8.9711;1.5;2.9051;-9.3464;0.6132;0.4169;0.3753;0.8868;0.0961;0.2664;-0.0737;-22.21;19.21;-18.89;218.78;72.38;-78.08;0.0;56.132;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;20865;2014-10-24 12:40:15:748 +2.0375;-9.7935;1.002;2.8095;-9.3869;0.4037;0.7153;0.4681;0.8598;0.1064;-0.3269;0.1854;-21.25;19.23;-18.97;222.97;73.18;-81.82;0.0;54.188;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;21384;2014-10-24 12:40:16:267 +2.5762;-9.3829;0.097;2.8552;-9.3753;0.348;-0.279;-0.0075;-0.2511;-0.0068;-0.0544;-0.0205;-21.05;19.21;-19.47;224.59;72.94;-83.05;0.0;56.138;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;21966;2014-10-24 12:40:16:849 +2.8886;-9.0668;1.154;2.8463;-9.3754;0.4143;0.0423;0.3085;0.7397;0.04;0.0761;-0.0081;-21.4;18.87;-19.66;225.42;72.99;-82.51;0.0;53.585;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;22524;2014-10-24 12:40:17:407 +2.7916;-9.3134;0.735;2.8167;-9.3785;0.5288;-0.025;0.0651;0.2062;0.0098;-0.011;-0.0129;-21.29;18.7;-20.01;221.98;72.98;-79.59;0.0;54.976;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;23044;2014-10-24 12:40:17:927 +2.7641;-9.3122;0.9278;2.8032;-9.3813;0.551;-0.0391;0.0691;0.3768;0.0151;-0.0024;-0.0015;-21.35;17.95;-20.52;220.31;73.13;-78.66;0.0;48.281;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;23566;2014-10-24 12:40:18:449 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+2.8994;-9.2847;0.5076;2.921;-9.3461;0.5381;-0.0216;0.0613;-0.0305;0.0137;-5.0E-4;-0.0132;-22.15;19.21;-18.97;218.95;72.37;-79.51;0.0;60.71;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;37781;2014-10-24 12:40:32:664 +2.8659;-9.2883;0.5124;2.9188;-9.3467;0.5384;-0.053;0.0584;-0.026;0.0161;0.0193;-0.0124;-22.11;19.08;-18.93;218.99;72.38;-79.55;0.0;64.231;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;38296;2014-10-24 12:40:33:179 +2.897;-9.3087;0.4717;2.914;-9.3482;0.5396;-0.017;0.0395;-0.0679;0.022;0.0278;-0.0112;-21.93;19.06;-18.89;218.96;72.4;-79.53;0.0;64.753;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;38834;2014-10-24 12:40:33:717 +2.9293;-9.2692;0.5207;2.917;-9.3466;0.5497;-0.0092;0.0835;0.0501;0.0161;0.0024;-0.0139;-21.93;19.19;-18.87;218.79;72.41;-79.4;0.0;65.805;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;39373;2014-10-24 12:40:34:256 +2.8754;-9.3063;0.5842;2.92;-9.3446;0.5683;-0.0446;0.0383;0.0159;0.0171;0.0041;-0.0132;-22.47;19.1;-19.98;218.33;72.35;-79.13;0.0;66.338;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;39892;2014-10-24 12:40:34:775 +2.9197;-9.2883;0.5782;2.9154;-9.3438;0.6038;0.0043;0.0555;-0.0256;0.0215;0.0132;-0.0122;-21.95;18.85;-19.19;217.69;72.33;-78.45;0.0;63.538;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;40453;2014-10-24 12:40:35:336 +2.8718;-9.2847;0.6512;2.9201;-9.3404;0.6322;-0.0482;0.0557;0.019;0.0146;0.0056;-0.0176;-21.8;19.17;-19.08;216.97;72.3;-77.84;0.0;66.289;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;41012;2014-10-24 12:40:35:895 +2.8934;-9.2967;0.5399;2.9133;-9.3438;0.6142;4.0E-4;0.0878;-0.0623;0.0181;0.0054;-0.0076;-22.28;19.1;-19.32;217.2;72.3;-78.03;0.0;67.933;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;41526;2014-10-24 12:40:36:409 +2.8228;-9.2835;0.5758;2.8343;-9.368;0.6142;-0.1229;-0.0256;-0.054;0.0298;0.0446;0.032;-22.32;19.27;-18.98;217.83;72.45;-78.63;0.0;66.394;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;42050;2014-10-24 12:40:36:933 +2.7114;-9.3529;0.7075;2.8211;-9.3711;0.6273;-0.1097;0.0182;0.0802;-0.0151;-0.0437;-0.0415;-21.7;18.65;-19.43;216.13;72.86;-77.46;0.0;65.05;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;42596;2014-10-24 12:40:37:479 +2.8527;-9.3146;0.5567;2.8383;-9.3669;0.6132;-0.0132;0.0355;-0.0243;0.0166;0.0142;-0.0154;-21.66;18.63;-19.27;216.49;72.79;-77.72;0.0;64.867;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;43096;2014-10-24 12:40:37:979 +2.8563;-9.2859;0.5698;2.8426;-9.366;0.6068;0.0137;0.0801;-0.037;0.019;0.0041;-0.0127;-21.57;19.0;-18.85;216.74;72.76;-77.91;0.0;65.358;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;43660;2014-10-24 12:40:38:543 +2.8599;-9.3027;0.577;2.8505;-9.364;0.601;0.0094;0.0613;-0.024;0.0205;0.0142;-0.01;-21.93;18.59;-19.36;217.06;72.73;-78.16;0.0;66.646;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;44263;2014-10-24 12:40:39:146 +2.8168;-9.2955;0.6285;2.8442;-9.3648;0.6173;-0.0275;0.0693;0.0112;0.0215;0.0059;-0.0112;-21.89;19.23;-20.05;218.15;72.74;-77.76;0.0;63.309;19.519932;-96.91544;;;188.70969;0 / 0;29.8;96.0;4.166;44802;2014-10-24 12:40:39:685 +2.8503;-9.25;0.6812;2.8449;-9.3635;0.6335;0.0054;0.1135;0.0476;0.0151;0.012;-0.0134;-21.68;19.15;-19.79;217.79;72.71;-77.45;0.0;66.132;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;45305;2014-10-24 12:40:40:188 +2.8527;-9.2692;0.6883;2.8439;-9.3627;0.6506;0.0135;0.06;-0.0293;0.0132;0.0166;-0.0134;-21.53;19.28;-19.06;215.82;72.69;-77.12;0.0;65.94;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;45814;2014-10-24 12:40:40:697 +2.8359;-9.2656;0.6716;2.8456;-9.3623;0.6477;-0.0601;0.0528;-0.0221;0.0098;-7.0E-4;-0.012;-21.66;19.3;-19.17;215.86;72.68;-77.15;0.0;65.312;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;46317;2014-10-24 12:40:41:200 +2.7821;-9.3003;0.6309;2.8393;-9.3638;0.6538;-0.0566;0.0638;-0.0227;0.019;7.0E-4;-0.0151;-20.95;19.21;-19.15;217.53;72.72;-77.03;0.0;64.61;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;46845;2014-10-24 12:40:41:728 +2.7916;-9.3242;0.6512;2.8354;-9.365;0.6535;0.0133;0.0924;-0.0153;0.0229;0.0059;-0.0076;-21.76;19.25;-18.95;215.73;72.71;-77.06;0.0;60.929;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;47363;2014-10-24 12:40:42:246 +2.7629;-9.3278;0.6871;2.798;-9.3739;0.6872;-0.0351;0.046;-1.0E-4;0.0229;-0.0068;-0.0156;-21.91;18.57;-19.92;216.16;72.91;-76.2;0.0;60.071;19.519932;-96.91544;;;188.70969;0 / 1;30.4;95.0;4.149;47934;2014-10-24 12:40:42:817 +2.7653;-9.2907;0.6692;2.7755;-9.3779;0.7227;-0.0102;0.0872;-0.0535;0.0288;0.0203;-0.009;-21.87;19.38;-19.25;214.21;72.92;-75.92;0.0;56.648;19.519932;-96.91544;;;188.70969;0 / 1;30.4;95.0;4.149;48442;2014-10-24 12:40:43:325 +2.7845;-9.2823;0.9026;2.7815;-9.3747;0.7403;0.0029;0.0924;0.1623;5.0E-4;0.0063;-0.0056;-21.55;19.64;-19.25;213.48;72.91;-74.99;0.0;49.408;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;48986;2014-10-24 12:40:43:869 +2.4612;-9.3386;1.2366;2.4188;-9.437;1.1242;0.0424;0.0984;0.1124;0.1015;0.1688;0.0851;-19.58;19.7;-21.66;208.82;74.22;-65.07;0.0;55.408;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;49503;2014-10-24 12:40:44:386 +2.3008;-9.5828;1.2953;2.2731;-9.4714;1.1388;0.0278;-0.1114;0.1565;-0.0766;-0.2147;-0.0808;-18.85;19.98;-21.44;206.82;74.97;-63.39;0.0;54.289;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;50205;2014-10-24 12:40:45:088 +2.4409;-9.347;0.905;2.3972;-9.4529;1.0328;0.1647;0.0488;0.0171;0.0073;0.001;-0.0207;-19.7;19.55;-20.31;206.48;74.68;-65.85;0.0;52.668;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;50864;2014-10-24 12:40:45:747 +2.5055;-9.3446;1.2893;2.4501;-9.4483;0.9468;0.0554;0.1038;0.3425;-0.0068;-0.2315;-0.0312;-19.73;19.7;-21.42;211.87;74.46;-68.87;0.0;52.168;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;51445;2014-10-24 12:40:46:328 +2.66;-9.3338;0.8212;2.5573;-9.4291;0.8502;0.1026;0.0953;-0.029;0.0093;-0.0437;-0.02;-21.33;19.57;-20.48;210.56;74.21;-70.48;0.0;51.793;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;51988;2014-10-24 12:40:46:871 +2.6552;-9.3458;0.7913;2.5595;-9.4298;0.8351;0.0956;0.0841;-0.0439;-0.0259;-0.0547;-0.0356;-21.4;19.36;-20.18;211.68;74.09;-71.62;0.0;53.9;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;52603;2014-10-24 12:40:47:486 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+5.0482;-10.1155;-0.0682;3.9293;-8.96;-0.6704;1.1188;-1.1555;0.6021;0.2772;1.5805;0.1488;-24.23;17.78;-17.63;216.42;73.76;-82.64;0.0;60.843;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;64916;2014-10-24 12:40:59:799 +3.1292;-10.0604;2.0099;3.8604;-9.0064;-0.391;-0.7311;-1.054;2.4009;-0.0986;0.3799;-0.0222;-25.0;16.42;-18.05;236.58;67.65;-98.73;0.0;63.894;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;65748;2014-10-24 12:41:00:631 +1.9908;-7.8937;-0.6021;3.4117;-9.1935;-0.1025;-1.4209;1.2998;-0.4996;-0.1215;0.4855;0.9886;-21.61;19.57;-19.94;241.58;68.48;-94.28;0.0;68.221;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;66360;2014-10-24 12:41:01:243 +3.9863;-8.843;-1.1109;4.2305;-8.764;-1.2106;-0.2442;-0.079;0.0997;-0.5036;0.1608;-0.1215;-21.7;19.87;-18.82;240.17;66.9;-92.83;0.0;68.861;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;66906;2014-10-24 12:41:01:789 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+2.8898;-7.7943;-3.2358;3.3803;-8.9068;-2.3266;-0.4905;1.1125;-0.9091;-0.8573;0.8649;-0.2203;1.91;34.41;-13.16;336.87;65.26;-124.54;0.0;64.678;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;69581;2014-10-24 12:41:04:464 +2.9425;-9.2476;0.5543;3.2395;-8.9593;-2.3253;-0.297;-0.2883;2.8796;0.8964;0.1613;0.0237;0.13;33.66;-16.36;329.82;66.01;-125.67;0.0;65.822;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;70115;2014-10-24 12:41:04:998 +2.296;-9.2883;-2.156;2.8599;-9.3103;-1.1447;-0.5639;0.0219;-1.0113;-0.143;-0.1313;-0.1242;-3.47;30.9;-20.24;307.04;72.02;-114.02;0.0;68.87;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;70630;2014-10-24 12:41:05:513 +3.7266;-8.9807;-1.2462;3.2461;-9.1374;-1.4634;0.4805;0.1567;0.2172;-0.0561;-0.2535;-0.1;-19.23;25.54;-19.68;274.18;69.38;-113.02;0.0;55.897;19.519932;-96.91544;;;188.70969;0 / 0;30.4;95.0;4.149;71133;2014-10-24 12:41:06:016 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+-0.8368;-9.9515;0.1389;1.7244;-9.6314;0.6586;-2.5612;-0.3201;-0.5197;-0.0429;-2.3834;-0.0405;13.61;31.77;-17.24;291.57;80.91;-59.88;0.0;56.756;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;78299;2014-10-24 12:41:13:182 +3.1759;-7.9667;-1.8794;0.8397;-9.7693;0.163;2.3362;1.8026;-2.0425;1.3585;-3.0639;0.4648;-16.14;27.61;-22.19;226.86;85.0;-79.01;0.0;68.6;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;78820;2014-10-24 12:41:13:703 +1.7933;-9.4248;1.9836;2.1049;-9.5778;0.076;-0.3116;0.153;1.9076;0.3518;-1.8057;-0.0586;-26.93;25.0;-10.38;202.91;77.6;-87.93;0.0;57.679;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;79334;2014-10-24 12:41:14:217 +2.2805;-9.0106;-0.5997;1.3806;-9.7064;0.2243;0.8999;0.6958;-0.8241;0.0952;-1.64;-0.2859;-18.16;25.82;20.48;115.31;81.8;-80.77;0.0;53.97;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;79834;2014-10-24 12:41:14:717 +2.9137;-8.157;-2.976;3.2582;-9.2493;-0.0754;-0.3444;1.0922;-2.9006;0.1674;-0.4438;-0.2896;-15.95;23.31;24.72;107.97;70.59;-91.33;0.0;67.66;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;80409;2014-10-24 12:41:15:292 +-0.3723;-8.594;2.5163;1.8494;-9.5867;0.9196;-0.9648;-0.7802;0.5887;1.1726;-0.7058;0.7388;1.78;28.41;24.46;72.87;72.38;-97.41;0.0;62.804;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;80931;2014-10-24 12:41:15:814 +2.0387;-11.9842;2.9269;0.6321;-9.7741;-0.4882;1.4066;-2.2101;3.4152;-2.7511;-0.3113;-0.315;20.75;30.4;9.15;55.88;85.33;-127.68;0.0;60.211;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;81678;2014-10-24 12:41:16:561 +-1.0271;-7.2101;1.397;1.5301;-9.6429;-0.9183;-2.5572;2.4328;2.3153;0.9593;0.2955;1.3878;4.57;29.05;18.01;84.09;65.56;-143.55;0.0;61.48;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;82233;2014-10-24 12:41:17:116 +-0.8056;-6.189;2.8443;0.8793;-9.3144;-2.9394;-1.6849;3.1253;5.7837;-1.863;1.1599;0.4592;19.45;31.22;-4.29;359.24;87.67;-101.08;0.0;58.753;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;82773;2014-10-24 12:41:17:656 +3.6332;-10.0161;3.0694;1.7084;-9.6369;0.6178;1.696;-0.4041;3.2302;0.7895;-3.8263;-0.1547;20.67;32.27;7.53;0.78;79.32;-70.12;0.0;59.94;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;83292;2014-10-24 12:41:18:175 +3.0179;-10.835;2.4768;0.3545;-9.799;0.1571;2.6633;-1.036;2.3197;-2.5418;1.8423;-0.6666;15.67;34.0;-13.55;287.33;87.73;-66.11;0.0;61.738;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;83800;2014-10-24 12:41:18:683 +7.0916;-17.9649;0.0646;1.178;-9.6291;-1.4365;0.6332;5.699;-1.3851;1.5102;-4.9921;-1.5676;19.17;33.36;9.41;61.13;79.08;-140.65;0.0;65.961;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;84344;2014-10-24 12:41:19:227 +-2.7569;-12.9502;3.4153;-0.219;-9.4845;2.4832;-2.5379;-3.4657;0.9321;-2.774;-0.0864;-0.183;18.1;27.46;-19.34;248.41;67.79;-0.62;0.0;66.881;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;84884;2014-10-24 12:41:19:767 +7.6028;-19.6133;-1.5778;1.022;-9.7065;-0.9542;-0.1158;8.477;-1.7465;1.4546;0.6578;-0.4348;18.07;33.75;9.82;85.35;72.02;-178.33;0.0;66.155;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;85396;2014-10-24 12:41:20:279 +0.9768;-12.7228;-0.097;0.9075;-9.7637;0.1294;-3.3991;-3.4417;-2.1383;1.7552;-2.1668;0.0837;19.04;30.94;-14.13;321.23;83.39;-59.61;0.0;59.944;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;85899;2014-10-24 12:41:20:782 +0.9673;-3.7074;2.7054;0.7548;-9.7775;0.0446;0.6355;6.0585;1.8766;-0.243;0.0124;-0.2806;19.7;34.0;-3.5;293.0;87.09;-29.86;0.0;58.308;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;86399;2014-10-24 12:41:21:282 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+-2.7078;5.46;8.2361;-2.1277;3.9978;8.6984;-0.5802;1.4622;-0.4623;0.221;-0.9064;0.3848;-12.01;-23.31;-26.44;125.34;-19.76;23.96;2.0;49.058;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;93481;2014-10-24 12:41:28:364 +-2.1596;7.3969;5.8694;-2.1352;6.0733;7.3977;-0.0243;1.3236;-1.5283;0.2918;0.3081;0.1256;-15.91;-26.97;-19.9;122.22;-35.69;13.01;2.0;53.972;19.519932;-96.91544;;;188.70969;0 / 0;31.1;95.0;4.152;94033;2014-10-24 12:41:28:916 \ No newline at end of file diff --git a/Dia3/images/device/nature/20141023_101015.jpg b/Dia3/images/device/nature/20141023_101015.jpg new file mode 100755 index 0000000..27c075f Binary files /dev/null and b/Dia3/images/device/nature/20141023_101015.jpg differ diff --git a/Dia3/images/device/nature/20141023_101019.jpg b/Dia3/images/device/nature/20141023_101019.jpg new file mode 100755 index 0000000..0730f20 Binary files /dev/null and b/Dia3/images/device/nature/20141023_101019.jpg differ diff --git a/Dia3/images/device/nature/20141023_101026.jpg b/Dia3/images/device/nature/20141023_101026.jpg new file mode 100755 index 0000000..3042c25 Binary files /dev/null and b/Dia3/images/device/nature/20141023_101026.jpg differ diff --git a/Dia3/images/device/nature/20141023_101138.jpg b/Dia3/images/device/nature/20141023_101138.jpg new file mode 100755 index 0000000..c88fefc Binary files /dev/null and b/Dia3/images/device/nature/20141023_101138.jpg differ diff --git a/Dia3/images/device/nature/20141023_101149.jpg b/Dia3/images/device/nature/20141023_101149.jpg new file mode 100755 index 0000000..b7ff876 Binary files /dev/null and b/Dia3/images/device/nature/20141023_101149.jpg differ diff --git a/Dia3/images/device/nature/20141023_101211.jpg b/Dia3/images/device/nature/20141023_101211.jpg new file mode 100755 index 0000000..92c0cf4 Binary files /dev/null and b/Dia3/images/device/nature/20141023_101211.jpg differ diff --git a/Dia3/images/device/nature/arania.jpg b/Dia3/images/device/nature/arania.jpg new file mode 100644 index 0000000..5a19210 Binary files /dev/null and b/Dia3/images/device/nature/arania.jpg differ diff --git a/Dia3/notebooks/01_Adquiriendo_Datos_imagenes.ipynb b/Dia3/notebooks/01_Adquiriendo_Datos_imagenes.ipynb new file mode 100644 index 0000000..65c65ba --- /dev/null +++ b/Dia3/notebooks/01_Adquiriendo_Datos_imagenes.ipynb @@ -0,0 +1,303 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:694cde11dea75d736e7ddc251fc29c600c1425604d75f725960731ebd1158755" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run talktools.py" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En esta sesion usaremos nuestros dispositivos como sensores para la adquisicion de datos. Primero lo haremos de manera \"manual\" y mas adelante lo haremos programaticamente" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Nuestra primera experiencia sera tomar datos en forma de imagenes digitales usando la camara integrada a los dispositivos moviles." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Haremos honor al metodo desarrollado por [Antoine van Leeuwenhoek](http://es.wikipedia.org/wiki/Anton_van_Leeuwenhoek) en los 1600s. " + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# from IPython.display import HTML\n", + "# HTML(url='http://es.wikipedia.org/wiki/Anton_van_Leeuwenhoek')" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 4 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Se dice que van Leeuwenhoek realizo algunas de sus primeras observaciones microscopicas usando una gota de agua como lente esferico." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "Image(url='http://1.bp.blogspot.com/-K16-1qulgJY/UtU-BXagDxI/AAAAAAAAAKY/1w2qspa5fgs/s1600/Olaf+telescope.jpg')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 3, + "text": [ + "" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Una gota de agua tiene un diametro de alrededor de 2 a 4 milimetros, lo cual resulta en un poder de amplificacion alto: la amplificacion es inversamente proporcional al radio de la gota, lo cual implica que a menor diametro (gota chica) mayor es la amplificacion." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "El primer ejercicio que realizaremos sera colocar una gota de agua sobre una superficie de cristal, con lo cual crearemos una lente semi-esferica." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Paso 1\n", + "\n", + "Usando un dispositivo movil:\n", + "\n", + "* telefono celular\n", + "* tableta\n", + "\n", + "Agua:\n", + "\n", + "* Vaso con agua\n", + "* Una servilleta \n", + "* Un cotonete \n", + "\n", + "Camara:\n", + "\n", + "* Identificar si su dispositivo tiene camara frontal\n", + "* Asegurarse que la region alrededor del lente de la camara esta cubierta de vidrio\n", + "* El area de la camara no debe ser vulnerable a infiltraciones de agua!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Adquisicion de images\n", + "\n", + "* Durante nuestro receso, salgan al jardin y capturen algunas imagenes de objetos, flores, plantas, insectos, etc.\n", + "\n", + "## Colocando nuestro lente\n", + "\n", + "* Colocar el dispositivo sobre una superficie plana\n", + "* Tomar una gota de agua del vaso usando el dedo o el cotonete.\n", + "* Colocar la gota sobre el lente de la camara:\n", + " * cuidando que este lo mas centrada posible\n", + " * tratando de que sea lo mas pequena pero que cubra el sensor\n", + "\n", + "## Objeto\n", + "\n", + "* Acerquen un objeto pequeno a la gota, teniendo cuidado de no tocarla.\n", + "* Monitoreen la imagen en la pantalla del dispositivo\n", + "* Cuando el objeto este enfocado, presionen el boton de captura\n", + "* Repitan hasta que dominen la tecnica\n", + "* Algunos dispositivos permiten utilizar un temporizador, pueden usarlo si prefieren.\n", + "* Pueden tomar imagenes fijas o video\n", + "\n", + "## Objetos microscopicos\n", + "\n", + "* Repitan el mismo ejercicio tomando una imagen de uno de sus cabellos.\n", + "* Si es posible se les proporcionaran objetos microscopicos en una placa de vidrio" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Ejemplos de imagenes\n", + "\n", + "Las siguientes imagenes son ejemplos de imagenes adquiridas con el dispositivo movil:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "FileLinks('images/device')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "images/device/nature/
\n", + "  20141023_101015.jpg
\n", + "  arania.jpg
\n", + "  20141023_101019.jpg
\n", + "  20141023_101149.jpg
\n", + "  20141023_101026.jpg
\n", + "  20141023_101138.jpg
\n", + "  20141023_101211.jpg
" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 13, + "text": [ + "images/device/nature/\n", + " 20141023_101015.jpg\n", + " arania.jpg\n", + " 20141023_101019.jpg\n", + " 20141023_101149.jpg\n", + " 20141023_101026.jpg\n", + " 20141023_101138.jpg\n", + " 20141023_101211.jpg" + ] + } + ], + "prompt_number": 13 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Siguiente seccion\n", + "En el proximo modulo veremos como distribuir la informacion que hemos adquirido con el sensor." + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia3/notebooks/02_Distribuyendo_Datos_imagenes.ipynb b/Dia3/notebooks/02_Distribuyendo_Datos_imagenes.ipynb new file mode 100644 index 0000000..0060c4d --- /dev/null +++ b/Dia3/notebooks/02_Distribuyendo_Datos_imagenes.ipynb @@ -0,0 +1,641 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:f59bb5ba9828d33c0f24d77c2ac4c92800e402b58129a554b2d1e7c9aef711f9" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run talktools.py" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Compartiendo Datos \n", + "* Ahora vamos a compartir nuestros datos, en forma de imagenes digitales, dando credito a nuestro trabajo.\n", + "* Ilustraremos el proceso usando (Figshare)[figshare.com]\n", + "* Otros sitios pueden existir dependiendo de su disciplina ..." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Localizar la imagen\n", + "* Encuentren la(s) imagen(es) que acaban de adquirir con su telefono, en el sistema operativo local.\n", + "* Subiremos una de ellas al servicio Figshare." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "FileLinks('images/device')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "images/device/nature/
\n", + "  20141023_101015.jpg
\n", + "  arania.jpg
\n", + "  20141023_101019.jpg
\n", + "  20141023_101149.jpg
\n", + "  20141023_101026.jpg
\n", + "  20141023_101138.jpg
\n", + "  20141023_101211.jpg
" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 2, + "text": [ + "images/device/nature/\n", + " 20141023_101015.jpg\n", + " arania.jpg\n", + " 20141023_101019.jpg\n", + " 20141023_101149.jpg\n", + " 20141023_101026.jpg\n", + " 20141023_101138.jpg\n", + " 20141023_101211.jpg" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Ingresar al servicio\n", + "* Ingresen a su [cuenta de Figshare](http://figshare.com/account/my_data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Suban la imagen\n", + "* Haciendo click en enlace [Upload](http://figshare.com/account/upload) en la parte superior de la pagina.\n", + "* Siguiendo las instrucciones y busquen la imagen en su folder local\n", + "* Suban unicamente una imagen (por el momento)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Publicando la imagen\n", + "* Ir al enlace [My Data](http://figshare.com/account/my_data) y encontrar, en la lista, la imagen recientemente subida\n", + "* En la columna de Status, seleccionar **DRAFT**\n", + " * Eligan un titulo para la imagen (un titulo serio y descriptivo)\n", + " * Esto es importante porque el sistema genera un identificador digital real\n", + "* Seleccionen una **Categoria**\n", + "* Escriban una descripcion seria y clara en el espacio\n", + "* Presionen el boton **Public** para hacer la imagen publica y disponible.\n", + "* **Save**\n", + "* Vayan al enlace **Publish** del lado derecho.\n", + "* Respondan positivamente\n", + "* Presionen **Preview** para ver el articulo" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Solicitando el articulo de Figshare\n", + "Ahora solicitaremos y obtendremos referencia al articulo que acabamos de publicar, de manera programatica.\n", + "\n", + "Para esto usaremos la [API de Figshare](http://api.figshare.com/docs/)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Pasos\n", + "* Primero necesitamos la informacion de identificacion del articulo.\n", + " * Por ejemplo: http://figshare.com/articles/nephila_hanging_lania/1213151\n", + " * Tiene como identificador \"1213151\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* Usamos este identificador en la siguiente URL para obtner los metadatos del articulo:\n", + " * http://api.figshare.com/v1/articles/1213151\n", + "* Esto nos dara como respuest un documento con la estructura JSON similar a la siguiente:\n", + "\n", + " {u'count': 1,\n", + " u'items': [{u'article_id': 1213151,\n", + " u'authors': [{u'first_name': u'Horacio',\n", + " u'full_name': u'Horacio Tapia-McClung',\n", + " u'id': 637523,\n", + " u'last_name': u'Tapia-mcclung'}],\n", + " u'categories': [{u'id': 158, u'name': u'Biological Techniques'}],\n", + " u'defined_type': u'figure',\n", + " u'description': u'

Spider on web hanging above entrace to parking lot

',\n", + " u'description_nohtml': u'Spider on web hanging above entrace to parking lot',\n", + " u'doi': u'http://dx.doi.org/10.6084/m9.figshare.1213151',\n", + " u'downloads': 0,\n", + " u'figshare_url': u'http://figshare.com/articles/nephila_hanging_lania/1213151',\n", + " u'files': [{u'download_url': u'http://files.figshare.com/1728248/20141023_101015.jpg',\n", + " u'id': 1728248,\n", + " u'mime_type': u'image/jpeg',\n", + " u'name': u'20141023_101015.jpg',\n", + " u'size': u'736 KB',\n", + " u'thumb': u'http://previews.figshare.com/1728248/250_1728248.jpg'}],\n", + " u'links': [],\n", + " u'master_publisher_id': 0,\n", + " u'owner': {u'full_name': u'Horacio Tapia-McClung', u'id': 637523},\n", + " u'published_date': u'16:07, Oct 23, 2014',\n", + " u'publisher_citation': u'',\n", + " u'publisher_doi': u'',\n", + " u'shares': 0,\n", + " u'status': u'Public',\n", + " u'tags': [{u'id': 303199, u'name': u' spider'},\n", + " {u'id': 303198, u'name': u'nephila'},\n", + " {u'id': 321139, u'name': u'lania'},\n", + " {u'id': 303200, u'name': u'ara\\xf1a'}],\n", + " u'title': u'nephila hanging @ lania',\n", + " u'total_size': u'718.63 KB',\n", + " u'version': 1,\n", + " u'views': 1}]}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* Buscamos la etiqueta \"download_url\"\n", + " * En el ejemplo mostrado es: \"http://files.figshare.com/1728248/20141023_101015.jpg\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Probando la descarga\n", + "* En referencia al valor de la etiqueta \"download_url\" podemos descargar la imagen a la computadora dando click o copiando y pegando el `url` en la barra del navegador: http://files.figshare.com/1728248/20141023_101015.jpg" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Descargando programaticamente" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora ausaremos el modulo `urllib` de Python para descargar la imagen. Lo haremos en distintas etapas:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Obtener el URL del articulo" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import urllib\n", + "import json\n", + "\n", + "destino = '/tmp/imagen.jpg'\n", + "\n", + "figshare_id = '1213151'\n", + "\n", + "figshare_url = 'http://api.figshare.com/v1/articles/%s' % figshare_id" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 28 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Solicitar detalles del articulo \n", + "\n", + "Haremos esto usando la API y obteniendo una respuesta en estructura JSON:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "respuesta_json = urllib.urlopen(figshare_url)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 29 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Buscando y extrayendo el URL de descarga\n", + "\n", + "Guardaremos la estructura JSON en un objeto de la clase `json`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "informacion_articulo = json.load(respuesta_json)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 30 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Veamos el contenido del objeto:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "informacion_articulo" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 33, + "text": [ + "{u'count': 1,\n", + " u'items': [{u'article_id': 1213151,\n", + " u'authors': [{u'first_name': u'Horacio',\n", + " u'full_name': u'Horacio Tapia-McClung',\n", + " u'id': 637523,\n", + " u'last_name': u'Tapia-mcclung'}],\n", + " u'categories': [{u'id': 158, u'name': u'Biological Techniques'}],\n", + " u'defined_type': u'figure',\n", + " u'description': u'

Spider on web hanging above entrace to parking lot

',\n", + " u'description_nohtml': u'Spider on web hanging above entrace to parking lot',\n", + " u'doi': u'http://dx.doi.org/10.6084/m9.figshare.1213151',\n", + " u'downloads': 0,\n", + " u'figshare_url': u'http://figshare.com/articles/nephila_hanging_lania/1213151',\n", + " u'files': [{u'download_url': u'http://files.figshare.com/1728248/20141023_101015.jpg',\n", + " u'id': 1728248,\n", + " u'mime_type': u'image/jpeg',\n", + " u'name': u'20141023_101015.jpg',\n", + " u'size': u'736 KB',\n", + " u'thumb': u'http://previews.figshare.com/1728248/250_1728248.jpg'}],\n", + " u'links': [],\n", + " u'master_publisher_id': 0,\n", + " u'owner': {u'full_name': u'Horacio Tapia-McClung', u'id': 637523},\n", + " u'published_date': u'16:07, Oct 23, 2014',\n", + " u'publisher_citation': u'',\n", + " u'publisher_doi': u'',\n", + " u'shares': 0,\n", + " u'status': u'Public',\n", + " u'tags': [{u'id': 303199, u'name': u' spider'},\n", + " {u'id': 303198, u'name': u'nephila'},\n", + " {u'id': 321139, u'name': u'lania'},\n", + " {u'id': 303200, u'name': u'ara\\xf1a'}],\n", + " u'title': u'nephila hanging @ lania',\n", + " u'total_size': u'718.63 KB',\n", + " u'version': 1,\n", + " u'views': 1}]}" + ] + } + ], + "prompt_number": 33 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "para extraer el elemento \"download_url\" usamos el hecho que el objeto es un diccionario:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "img_url_descarga = informacion_articulo['items'][0]['files'][0]['download_url']\n", + "# download_url: \"http://files.figshare.com/1700425/2014_10_01_22.24.30.jpg\"," + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 34 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Finalmente podemos descargar la imagen\n", + "Usando el \"url\" de descarga podemos salvar la imagen al sistema de archivos local:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "urllib.urlretrieve(img_url_descarga, destino)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 35, + "text": [ + "('/tmp/imagen.jpg', )" + ] + } + ], + "prompt_number": 35 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Revisamos que la imagen existe\n", + "Podemos usar el comando \"ls\"" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "ls -lt /tmp/imagen.jpg" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "-rw-rw-r-- 1 htapia htapia 753537 oct 23 11:28 \u001b[0m\u001b[01;35m/tmp/imagen.jpg\u001b[0m\r\n" + ] + } + ], + "prompt_number": 36 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Ejercicio\n", + "* Repitan el proceso con su imagen\n", + "* Escriban en pantalla el contenido de la respuesta obtenida en formato JSON\n", + "* Verifiquen que el archivo aparece en el sistema\n", + "\n", + "* Repitan con las imagenes de sus vecinos cercanos" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Ejercicio\n", + "\n", + "Las siguientes lineas de codigo corresponden al modulo `descargaimagen.py`, en el cual se ha implementado la funcionalidad que hemos desarrollado en esta libreta. El modulo, sin embargo, esta incompleto y como tal no funcionara correctamente:\n", + "\n", + " %%file descargaimagen.py\n", + "\n", + " import urllib\n", + " import json\n", + "\n", + " class DescargaImagen(object):\n", + "\n", + " figshare_id = None\n", + " nombre_imagen = None\n", + "\n", + " def __init__(self):\n", + " pass\n", + "\n", + " def set_figshare_id(self,figshare_id):\n", + " self.figshare_id = \n", + "\n", + " def set_nombre_imagen(self,nombre_imagen):\n", + " self.nombre_imagen = \n", + "\n", + " def download(self):\n", + " figshare_url = \"http://api.figshare.com/v1/articles/%s\" % self.figshare_id\n", + " f = urllib.urlopen(figshare_url)\n", + " info = json.load(f)\n", + " image_url = info[''][0][''][0]['']\n", + " urllib.urlretrieve(image_url, self.nombre_imagen)\n", + "\n", + "\n", + "Copien las lineas de codigo en una celda, agreguen las partes que faltan." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten su codigo aqui\n", + "# El resultado debe ser un archivo el folder actual llamado `descargaimagen.py`\n" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 40 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Prueben la funcionalidad del modulo descargando la imagen, para ello completen y ejecuten las siguientes celdas:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Si el archivo `descargaimagen.py` se encuentra en el mismo folder \n", + "# que el actual documento IPython Notebook importen el modulo usando\n", + "import descargaimagen" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 38 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# crea una instancia de la clase DescargaImagen contenida en el modulo\n", + "descarga = descargaimagen.DescargaImagen()" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# nombre para la imagen a descargar\n", + "nom_imagen = # <-------poner nombre de imagen" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# fija id de figura \n", + "descarga.set_figshare_id('') # <-------poner id de imagen" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# fija nombre de figura\n", + "descarga.set_nombre_imagen() # <------- completar correctamente" + ], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# descarga figura\n", + "descarga.download()" + ], + "language": "python", + "metadata": {}, + "outputs": [] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia3/notebooks/03_Procesando_Datos_imagenes.ipynb b/Dia3/notebooks/03_Procesando_Datos_imagenes.ipynb new file mode 100644 index 0000000..0864f33 --- /dev/null +++ b/Dia3/notebooks/03_Procesando_Datos_imagenes.ipynb @@ -0,0 +1,551 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:e660b6be8a0f23b7cde0f36b3f1cc720be43bef5e7bd49de708e8cb803843d89" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run talktools.py" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Procesamiento de Datos\n", + "\n", + "Para procesar nuestros datos en forma de imagenes digitales, usaremos el modulo [`scikit-image`](http://scikit-image.org/). Ejecutamos" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from skimage import measure" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En el modulo anterior vimos como distribuir nuestros datos a traves de un recurso en la nube, y como descargarlo para poderlos analizar localmente.\n", + "\n", + "Usaremos la clase que modificaron que provee la funcionalidad necesaria para descargar articulos de Figshare." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import descargaimagen" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 8, + "text": [ + "" + ] + } + ], + "prompt_number": 8 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Descargando la imagen\n", + "Ahora usaremos la funcionalidad del modulo para descargar la imagen:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "descarga = descargaimagen.DescargaImagen()\n", + "\n", + "nom_imagen = \"arania.jpg\"\n" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 9 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "descarga.set_figshare_id('1213151')" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 10 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "descarga.set_nombre_imagen(nom_imagen)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 12 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "descarga.download()" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 13 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Desplegando la imagen\n", + "Ahora vamos a visualizar la imagen en la libreta. Para esto podemos usar la funcionalidad de IPython Notebook a traves del modulo display." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "Image('arania.jpg')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "jpeg": 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gg+x9qaJPmAJ9eCMevtTnz74x6e/rU88e/wCD/wAi4JO9/L9R29fX9D/hUgKF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2+/8RXYkZ78dPr+NIm49eufpS0oODmtFFON7a6/qXyq97ai7G9P1H+NG1vT9RTw4xyefoaC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\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A01peW/2SF9ySL8z9yHx/Ce/+ea/GH4z/ALPl5f6hfSyaVa/ZmkL+YZCOAZDn/U+5/Gv6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\nnj8CewqZnXYV749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sCuceuPz6j6/nSsSwPc4IqSk3blSXX+tzKnRGfAjX0x0B5x/T/wDV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\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CqyPkjJ+XPPGKtGNWTI6YzkEevv8Ah+dANX0YgZSN3G7n16/T6Uwkk5NVWZlJC5I9s/09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\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OeHzQ2AMjCnOBn1Hfv1zWGwlDFSWHOOD/APXzUqTjt/X6genW2q6GAPM0mwnJGD5uzrjv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0oAj2nOMc0EEdaXcSc96kxuALDn8R3oA8xUdAP896lVcYJzmoxkHjk1MMkc8Gug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\nvPiz4iXWdT1NPMZla64LD/al65J9fx+tFnbm6dyuZXtfU8J0+82mb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cE4Xj8uKcCpG0HP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\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PHfj/AOtSsEfqf1x/9emlZpS/MCMNnkHPP8qd5hA5x9cf5/lTWAUfJ9fXnP8AhUXzHg5w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XPf69qr7cDdyCM+n4U9GPXqQT/Kr5Uo3a11/wCAA5iSeeP0pyk5A7c/1pThhk4zg9/T2pq/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\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kA4H/AOrtz/n0p8ke34v/ADE2luWCQDjuaftUpz1we/PtVASkuBu5zjpn+YNT729f0H+F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+ "metadata": {}, + "output_type": "pyout", + "prompt_number": 15, + "text": [ + "" + ] + } + ], + "prompt_number": 15 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Para realizar manipulaciones sobre la imagen usaremos las librerias `matplotlib`, `numpy` y `SimpleCV' o `skimage`:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from skimage.io import imread\n", + "%matplotlib inline" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 20 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "img = imread('arania.jpg')" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 42 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "plt.imshow(img)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 43, + "text": [ + "" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": 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0Tp0mrfjP4G03InhXKYSLStqo6Ips8Mq18n7xuZWrKUzB6XTGtWtHrNfrLLRL\nN1xd11R1zeHhYYvcb2JTL9EyA1BFLbHhyBsKI6a5ko2Tz8cjCKIoBIyNiSEmEiskUHXSeM/De0vY\n3iIx/tgH/rPxQqe89kzQJe4+AW++dqLzrYnrjJ/jI5iGlOaoDLTy9WP/hLyQidISCqARkFsEiUTK\nitZ6i3/noUVKu1Rg1THVLbvsTLbp9/ssFnNq73Eh1Vgz7YzWJahdIB+yvZDtGeWdm2zF+WLF+WJF\nXQmdsmAy2WJ3d5unT5/w/MVTKqeZXNGSEedTgkK302U0GHN4eI1r1w65e/dNkBprCnZ3tymKgp/+\n9D2KwnJ0dIRzjmcnZzy6/wjvdW6KwoIRptNziqJg/mTOixcvNMpnvUZE+OKzT+kUlvJIixPNZjO6\n3S5FYXVNCYxHfapqxWg04s6dO/T7ffb399nf/4AvvviCV26/wvHJGculhmYNBiP2drYvzOmvai8h\nwOa8U7OUc3PeGNOktXqvprc0GzxpnTSbJzdb8+d4r3n30fTLNdYcMHLTMDe9k+YZgvLzJyjYek3/\nq33m4KHpV6a1Np/BZdlN8XtJWW1ZzCdaTWhTsDQcGiDqTS+NRRCmywX9bofSWmpfhcIwAQCzxDlj\nmvFXAde8Zw5MudNRxzY6m3Kh1JRWjCm1LWGVxewaiRs73iNwr6ImPiZmXtXZ2DSRDNpnSUCb+ggY\nu/m7jF9O80xrbmLyQ3v9xIGI90oDkwlv/XfihKOjKdTTiKFMm01azsP2cwV1HMW1GUMXnHcUhZq0\ndV2zt7cL1JydnTFbrwFJAtMYg1DgcdgQ0lbXdXoJMUarfAXh65xGHdz/4gHLb3wbDEyGffr9Pp1O\nV+NY6zqNn7UWawxGSupKx6MoCo6OrnN4cB1wdLo91us1Ozt73L37FvA+z58/5f33f8ZyqdbLcqn1\nApbLNf1+h+3tLVxlmM3nTGdT5ssVxsCTJ084Pz/nyZMnSfiUZQdrDcN+n363SwVacxlVbqyxTCYT\nfF2ztbXFwd4h599ecHx8zGpZIVbX6LA/YDwe88/+2X97YT5+WXspATY2733KemFjoSX+0gli2qmc\nl5qmm+ayb8JwosZkTCjy62lt/HRPUW3S+2SwgbfBTNTg7UgXtDRZLyEMSlm2aB5rhy5mpSnAh9/4\nCrAQPe7hVZTOMImX098FLQ3SYs8dcZrXbSiMZbZYsJzPsdayqNaop58GPL3DtKp1tVvkjmn9v4nT\njSavEXWRmIkIAAAgAElEQVQMNtaCgugm19rWdKFxbCnfKumpsQNBAyXUNd3oZhOOFu8fwuecw5gi\njRWta7QPRnxLgMT5aaycyAFf6FU7DC3Ns7mQHeiDMzSuQZ+tmfY9VdDG6BTvNUsqCqdEnxjDcrlE\nxLC1NcZaw2/+1m/yk5/8hPV6zWKxYDQqOD09oyxLylKtGiNLnK+o6yoJ/Mjjiwjj8ZiyUAfXclWx\nmE2ZbO8CMOj1qcsOnU6X9bpiOp1eGM/aOWqpKHzJYlXx4uycTz/5nK3xNluTEWXI5np47yHGGN59\n9y0ePNjm3r17fPjRz7CmZL1eh3eYYa3Q6w1YrdacP5syPTtnudaKcPP5nLOzMyaTCe+99x7Xr19X\nmqQsMWg9gbKrAmN/f5+6XjEejynKkq2tHaq6pnPQxde6qsqyCHOo71KW5YU186vaSwmwrapXwVsc\nabHIXUHYe3EzuLDwQ6jRpnMFmk3Sdoy1rzEeat8Ek180zTZ+I1UC30rA+mCOpjJ6NH0NTWsTZCUU\ns+ena5LGGAoQe5LZBXETZ3GyIq2kg8iH5iCoMbOa7VOt13jn04KL5lUq0S11ArG8CtXmGDTjaJKT\nSRoqO1AqzbUR6HJQ3qR14v3imHuvWp6XWG82jI0JAjZqhj6GSjUAKYFuihZBA5R6QkPL4pCmvm2i\nWFJc78UU6aZ/F8ExBtbrfXM+NgrmtoWRrIzsO/28aI2LEdH0RtprRmkUDYPq9fqUheHu3Td4/vwp\nzqlTR0TY3t5mOBxirWU2O+f4+ITnz49ZrwMg1g6oAu1QMJ8tqTqWsiwoCo0//Xf/nX+bd955k/ly\nznrlef7smMfPX6RaylVdJzrNCFjv8LVjMT2jUxju37+vWm+3oN/rMewPufv2m3Q6HapqjZEejx49\nYjya8OTJM45fnIbMwoKzxYKff/QJ/Umf4bBLaUu63R5bWyNqV/HZp/dYLte8ePGCP/3TH/Hd71q+\n/PIhW1tjJpMJvX6HXneAMYbxeEy/P0JMhTUaSdMpy6DZB87agtQe7ytWlzmbf0V76QB2k+c0Jjok\n2tyQXtuwcvpBAypRz0gbLTNxW837xkEVnq3OBwGX/yYPS/Kte8WKWhLMdk0iaDRT59qVtgj5NDHT\nzMTntvoqjUM3UAu5lhf5PL227V1OkRAh9jSW44u1YX14Z1fVDHr9pLEDiQP1RDM770L4fUoQyEEn\ncKGCapS+iZ5o6kI0QqvRdDfTX3OgzcATwBdEoEvUR5yDLAZVAs0gOJW53mBC5SmPwftKj78J49qs\ntyYZ4sJay+Nn43MkC/+Ln6vKHubOIqHIXq7VijFQqyCzMeM0+z7SUfka2xybC3yp9xgLpha6HWHp\nheFgwGQyYblc8t3v/hZ17amrFZ0CyqLLsxcnfPzpZxhjOT4+oapUC00GozjW1ZLaGawdYK3hnXfe\n4d/6e9/BGw3K/8sf/zk/+tH/xXw6DYvF0zGFcvUYEE8RkycqjV3vdDr0+32WizXL1RLnRly/fkin\nW/Ds6Ql7+zvs7Ozw4vgJT55otbR1pXPWL3r0+12u7R6yMx7xwcf3eOedtzk43OP58+ecns04OT7G\nOXj27Bl/+Vd/RVVXTMZb+rtr1zg4OGBnZ0drcOApbUGnEJwrArWgVJPzK/xa10yTPfrV2ksHsHGB\nRTNXQyV9qCOZLXppgFdtZpcWXGNy2fS5/uTyEKD8cyOiZjUZ2KhNHsAyc5awyaCSbfIC7x3eqNNI\nw5wg1zqdD/UtaWfzpHslzUyCXmaSIJBEEwBGgSqeQ5W0Zd/OhIvvWVgB5yjEUhZF5mSR1nMlJg1s\nAiAxQcC3wCUdq+MVbKP5ujm/3kN+LE77+/a1jbXRZERdnEOHF82miGHIeWploki8Cr6YOx+PTUmC\nsm2eQJbW25j7G/3L/w2JJiL0WY87aqp0pXuYKGzaKcUX/AgbNEpuTbUsn+zadeWoveP0/Iz1es1k\ne4utrR4np2c8fHTMZOc6eOgPR7z2+ivIJ1qoZTqdU9c1q9Uq9SNyqrPZPHCtHc7mM07PTnn/5x/x\nh3/wQ9brClta+r0ekV93jqRYIIKjplOULOZTnnv4/PPP9byx7TGHhwVF0WFn1Gc8GHNyckKv12Gx\nWDOfa4U3MaTY6bI0WCtMxhPOpj9nd3eX63sTRr2C9376AUVpMQiTyQRX1wlcJ5MJw+GQ8XisZ3eZ\nMpn/2k2LMVrr1oVIGofXlGV32br71e3lA1hyUyuYZ2ERml8AlBc3aTyuov1dbi7njrR8o0TtTpWx\naJc3z4nAGn8carcDWYiU0RMSlDfLNb0NTVN8Kk5ifdBrM809aqnOVZA5h4D24YP5WBDq6ULKpIob\n19VgEcqiy2zxmE5pKAqjoTUZV5s2ctBA9OMI/8o95s6ZnOPNx1FEmmLWWThV8yzHxXPM2lEGeq/m\nILwm5EmoqhqRmDZbY22pGnR8jxAX7FMFJp2fmKWjxVV0vHLwUqEd02uz9RI2YCgUpWMSk0ogRSTk\na62hpRR0Yo3fdkpDs75a47/ZJ/J3i82kOGXvPVYKltUCvOHk+ITZbKkpqf0+z1+84MsvHzEa7tDp\n9/g3/s3v8P6Pf8zjwZjJpGYwUOrg7OyMFy+Omc+WeoSOMTgvnJ495a//6qccHh7y8OFj/uRf/Qng\n6XZLhqM+dV2zXC4T1eBqzxot2B5rINR1zXw+54MPPkjhY2XRpddVJ5J3a3qdLt57Xjw75uxMOWMj\nFoTwjIpHj55y/95TxDv++I//mDuv3mY0HOJ9HagKVQyUb7aUZcl8Pg8JAyvqql09LfLPJuO0q0ot\nYl0PddtF8Gu2lw5gU8uOSIkvHMNWLjhH8gMMfQw68UmdaJneG4s11odlwzTMNcq4pVsAAloVHgVK\n75vwpNQ3iYHpoTIQNKmm8b3C33V6kmnM8XSSbuAXjQlmr21tvlzTi/tej1XZiKRAqAXWdcXZ2Vky\nkbwRfKVxwu3NHCMZhBioT/a+xmzQNt5DPG3C6/9z6I8jlwNmHOVIdeTXal98y4xPgOM160zx7WLi\ng/47m/dw3wSs+kX4WH8fi3obQcfC5Rq0PkcLj+iYKP2Rypc3w5CGI/99Q3dAkziRj3czT7T6Fymo\n+EJth6gKvHVVJQdo7SScjio8ffKc7Z0tXF1wfrZmejbHGuHuq3cQX3O8WDEcDsMxM33quuLBg0d0\nuz0eP37EaqVZYN55BoMBT58+5Y/+6I/o94aMRiOqesXW1iSkL3sWiwUA52dzTeX1TtN03QrnPet6\nTV1DYS3Pnz/nyZMnvPbaa7x48YJut6TX7dDp9RiNJvQGI4yE+gFhr5hQ6rBaO013dY6TkxN++tfn\nKeLBiE/RBuPxOAnxw8NDxuMxuzv7jMYD+oMQuuUbqyb6U/zGOOv0/13QYFsLzOFdFsrjfevFG5PW\nZcCVf9eYT9B49wn3iNqi0Gx/su9zbUGgKUmYcvrDJopOoEsoCO8Ch+PBZKXXLnPsRB4wisrcoZQE\nAQp87SpWiTFJ34dAnPBh8IwnysFzdqqxgWJNoD2acbvsuJu2BpXFu+bgAA3dYGI2WwQFNZdb9/Uu\n1PfNtDWX1aUNix2C00mL4YWxy2iVaHVnZrVqrE2o26Z15yGk1Ua1REL0gIQUbB175xrHmC1iNlvc\nNiHtwWf66AYlk56X0RtxBKN2H4+Rj7+5TInIhXF6VxfD5dSyWVcVGv9bs1gsOT09Y744h+Oa83PN\n7JpOp5ycnDKbzfjks4f0e2Nuf/MOk+0xy1UV1mnJ0dE13n+/5OHDR5yfn4NRamnY1yy/+VLXz3Z/\nm2vXDygKy3K55Pj4mLIsOTy0IIb1esnJyQknJycsFgscRs8Gs816Xq1W3L9/n7Is2dmd0O/3efXV\nV/nmu+/w/OkzptMzitImM72qKiQIcudrZosVRdFjOp1jy4KysHQ6NYNhjzt3btHpaM3ZW7dusbu7\ny+3bt7l1+wa9Xi+spebE5KSkbAp0scgmSPwa7aUDWJGw5CWedR43bAjM9Ia8mpZgwXtqcY1GEaQ6\nvqlKtHmqQAKTXGKRgbd2Ji32+Fk092w4M0vvUadM8bxpTr5NpQlzszGapQnaQ/SDhldVYXIJHKHV\nilg0l+dhQo2q1tADzTXhr6z4tvee6XzKzu6OakeVQmN0qjXAoDG+EeibTX9xHCOQqzYaP29SiaNy\nf4HHEkcr00lfWq8V2gLR++TYzLn2nKLI/443ikLhgkYSAB2JZzc0c90IwQCINhQGClXF4tzlsx7X\nigb9S3YdYRwb6qNVZChYGrEGraexpNIJHBsCOdblbcZFn6/RIRXr9QrvNU32888/Z9DvcnJ6znK5\n5C/+4i8wxrA1GvO93/oOq/WK1aqm1+sxOz9mb2+PZ08fsre7zeOHj4IA1yO5u72S6WxBYSw7O0Pe\nvPs6Bwd7bG1tY22Mh9YCKhqnC++99x4ffPgh9z7/gul0iu0q9TccDqkqtaaKomC9XrNarbh58wa9\nXpfpdMpnn3/Ghx98QF1XONFEleVqhauCVejVrK/8OhylpONsTUm1dsznS0ajMYfX9rl2/YA7d+5w\n8+ZNBoNBCMPKHJcAwY/xN0LTS9pLB7De63k+eZongcvThabVxtPrS7ORIogZaeiFnDPd1A5ctpls\nHiSf7palwOoviPWWYlGXWN0pataxNdyjCwfE/YJKPBKBUjO68s0UA7uNkVZmVgT/TfNSvGkBSLMh\ng+ZbN/d98uw53/7mu4hoiUJrLmYe6T0a7jf+Nvuy+TMIsEaIxPPtyQC0ndaqdQmalN+kqZkQmuUz\nIM361AbRy/qcg5vSEJFja5vtev8iNw+R7B7NOG8KBtEf4MOayrdj1Crzz3LNV0KQbgOiqt2ne2Xm\nSG5htWghLgoDVUQUgF68eM5nn31OXdd89sXnjIcjlsuV8pNiGQ6HfPtb32D/+j4vjqfUZzNKCzCC\nx0/54t5Dnjx9hsPT7XbY3t5hd3eXGzeOODme8vMPP+DGjRtcu3aNd999m53tXQpbMBgodWAKy2ql\nfOxbb73Bxx9/yns/+4AnTx7x8OHD5MAeT7YYjbYAx/b2Nndua1aVcxWj0ZCD/T1NbFjNWS4XTbo5\nscqcCmgTPhPvwmGTWtO4KEq2JiMOD69x69Ytbt++Ra/XoygM3lV6skesrpfWQIY9ZHThpnLwa7SX\nDmBzU3VzM0QuyoRiuK16niLpSKacd4ybUwGRSyWTers1qD9tvOCsumxgI/BGqe59repWMv6iK1sa\nrTc47DxaU7SqYy+zgh/ZEePtdw/msFFe0effsxGhubE5bdCAfPhOvDBfLHFVxWSyhXcalpL413Cb\nWMvWE+cif0RYeJFKSFlV4bdG420bGkO5VJ/1K7DEl9IkUfuLsGVQa8FTaxWvS8pUtltIo4Wkxanj\no3Fs5NaEOrtiJIb+Z4xJQvcieGaca04PQHafzDLyBmsCTRImUNdXEc2mJmvQa45RSzEI1hhGWkpB\nXAcAro6/sTx79oyPPvqcjz7+FF+t2ZnscHJyQlWt6fX67O3uUVUVT54fs7U7oVN02d4uKGWtkS5e\nePHimMVyxXi8xY0bR1y7dsj2ZMRkssNPfvozpusKUxTs7+9rVapun4P9fUbjISKGwUBjTR2Oqlpz\n48YNXn/9Vc7Oznj48DHnZ9MUrXDt+gH7+wfceeU2g56efFvYgtu3b/Kd73yHs/MpX3z+Ob1eT481\nT/NZUdWaHOTRegpiC6zVojODwUDLKo4mXDu8zvXr1wJPK6xXS4y1SRES40PEUFg/gB4Jr612rjmx\n5Cu0lxBgdfP54FGXcLpsXLB6RRtcY6qs8xWWJgh7k0eMn+f3itqC9+3TUJNnmYsg0KSfqjlhUKI8\nWew11Cbo2bFyFnXQ8tQBEfscm4QaDELk49ShlYOpHtkkkMVrstG/TVMyxdeGAifOCKenp3SLkvFg\nGN7lImDVQfs0olEMlwGakaIRCOSaZdOX1K8oPHzkR9uCIl7TzF3byRmPmongmiyErF86tzHzqeGM\nq6oKzpGLa8E5p+dhBdDPIzVyzTX1EVqAGrVeDcfScol6QkNmzgeqQ5mrkIASeV1rCTGIwaFp2Bxq\n0cFuldfMx0ApdJ33al1xdjbl0eNH3L59k1fv3OR/+9//DzqdDs+ePaPb7dDtdRN1Npsu2NnuIF6o\nXMH5dEFVefb39zgqO+zv73Hjxi0mkzHjfpenz57z+edf4Fc1y+WK05Nzet0BH3z4MbPFgv39Pba3\ntzG2oFMWFJ2SXq+k1+uxvb3FfLrg7bdXnJ+eJ0qs6BRMJpO0/ySk0N65fYuqckynM7xzwem2RET0\nlAavgtsYoaRAROj1uinhYTqdMhqNOTg45Oato+DwUmUhgivheVFxae+foB3HmGku7oFf1V46gFXz\nt1nUTkLx5ui2yRZYbN57jaJolX9rADQV56bBtIu0QBYJIKI8b3ZtbA0Plz07AWnwttuYreTaz8mT\nD3wNrimZR3pvHxZefEKoFRqD9JNXX7U8EUlaauoTbXMSHzQnp3d7/OQJW9sTOp0ynPHUkJ3eN1ws\nNGZ4znem/obqZKSjUQRjmlqpOTi5aK7np+sGa2xTDEYON2rPeFLWVcy939Te20CoPH0cwl6vw2ai\nQLy2KaKtY6lg25iGLRpEmqiJ1pEvYlsaOpC43Xi+WBScMZkhRYvUWUKBXHQwRsqMoBTk82FEowdq\nV6kgdWoe7+3t8Pbdu3hqtsKxLPFQv8Vikc6istYiPhwPZAyz2ZKqWvPGG68zHo/w3nPjxk263ZKy\nYzk7W/Dw8QuevzjROqzPn/H48WNGoxHdXsmLF88RDOt1xd7eLqPRMMX7xmLb3W6Xbr/DZLyVsgdt\nWVDX67TGjIAxBcPhiFu3bgSK4SMePPgihMnVet4XjsIWGGvplCV4PT3BGGE8HnL9+nXeeust3njz\nVSaTCdYWFIVNdQoaCiBanZGT9Un4qtXsLi7SX7O9dAAbAaGpbBQ0O9NedLkkT+C7Ueg6ft/STEPb\nTIVN3+eayob2EiVc2kgi5Pn/OQ8bQ3mEpqxcalFKZgHmUTuLxH3cQHoaZ1ONKhalNoFblOy8pE1T\nO28igIXVuuLRoyccHOwHFkPPUvIhqSCmmrZbdF5FV1CENgdSBECNwNAWfBccS0EImY1qUzGgTKmJ\nSIpkQOab+OT4eXzPxGX60NfMlGvWUZ6oENdJRlk4AWvwdajmZkJvWhpN0Kx981vtS0zh1X7HdO64\npqwYXCyO4FWT9eKbLDdCMezW6F20wlonGntPVWfnVAESNLeDg0OWy4rHDx6yWsPB4RGLpZ5Q++jR\nIxbLJZPJhE6nS3/QZzQaIkbD1G7evIn3nu3tbcqyQ7/XZbGY4TGMhoZOt6DX7WGsYVVp3OtyuWR7\nR4P4PZ7nz17Q63XpdDrpJAPv6yDMwa3VarClCUBWNfNldRUqiGo1OedgNtM6B9bakNo9U1XDNv6Z\nsijp9/sURcH1Gzf4nd/5Pt/+9rvsH+zR7XZSEoW1TUhmcix6CRXxYiRPo7DltUm+anv5AJYM3JLk\nJoX4qIRTSeN9qJSOSRtg02zMnUMtWgHdpM43mg4XQKnt4Gj43EvCsVrPMhtfhNJfwRyJ92o9g4bT\nTNWL0jMuTqyLSQtxXDKvckuDjZtSBGtLnj59wnK+4s7t28n098YlwPNC4gkb/jRGAfhU/FwjwKL2\nGnnji0Wm0zDkFIaPJQVFuV/9JpjJhONh2r9vHeGSj0gGukjUOMJvWjUt4rwo164FX5p+itE6Cprs\nscG7Bq0+BAmGo8GbEn5xnPLxb4qwkPHiQl0p0BSdcIKtiYK4ERqb85jHTsdOx3VYVXoKQtTEV+s1\nZVlweLDL+ekZdV1z9+5dyrJktaw4fnHKvc/v0+8OsKZk0B/R7fUZjfpc299ia+cAV3nENskX5+en\nfPbZPXZ3d7l58wbf/e3f5ufv/5Sd3WuAmuJGLP1+P5X96/d7FEWp7yYxBtgi4loZfpuKjx6b7TC2\noFtYTk/v8aM/+wvef/9DrWFbKQW0PZmwWq0CLeIoiubsr6Ojm7z22ut861vfYm9vn7IsmoiDjJmL\n/LuWrPXkJ5HkysHlisKv114+gA3AmpwL0nhWddEFjtLHVFoT/Ul6/IVseJwh2xykewMXOK1cU02/\nTQu7Cc/JN3femg0dF8xG7U8gnjybyPVwNId2LfPCx98BZVFotSPaC7PpZduclfzvRD8oT3h+NmUy\nGTMcdKnWVQKyJqd9Yy7IwouaNYjxbdoD8gytiy31w7XHvG2ChyRcacoQNoKocdblvHgu9JzTEzFE\nIg/chIlF52NT+6DWuOZsveiai6m+pvU+SWO2TgHcSdL5fTbf8RijurW2YraZ8nllt0Pb2damF0w+\nH4R1GvdFNr+urinCIYwRbCMLMt7a4uDaIY8fPWY4HPLOO2+xtTWm1+/w5YNHfPTJp9y/f5/ZbMb5\n+W1ee/VVJtsDqqqi2+/RKZqjxK2d8NprBmtLbt++CQhn5ye4Gq5du8b29jar1YoH9x/yjW98g62t\nrVAcpsgsSN8SePEdRaSxMnRAMFYzr+7ff8Af/uEf8i//6H/l/PxcExQKYW9vl0HwHwC42rGulGK4\ndniT19+6yz/6R/+QmzdvYguLq1cYWyYrJo0hmvDhA5bomnHBX52tYyPqk/gb0AQvHcBGR4Pmqot6\nuU3uuHJpz+jSVOdRHoeam1qJy0Mnst6gCdqH82W/j+cm4ZE4TEkT2ehxxoG2nBu+hg0Hks85SBrA\nimX8krMFgDqk9tVqmqZD16JXP8aQ6htv8pPR0q3RRb5YLPj48y/YmugGiM62vAjLpmadV4HKU28v\nGwPvY/HrCI42jWO8Ryqqgw/addxkQaNM985jPzeN57AhfXPCweapASIEsiOGhsW+5VZMSFyIhESc\nCxpgjH1vwDIWmQlhWBee2x6/ZqYDzWJj8keTUBKvz7MIyX4ZX8hvfB9PuI2UhMdgCqFf9kCEyWSL\nFy9ecHh4SKdTcuPGbd5++22+/PIhT58+5dGjR6zXaz764gscjrt332JrskNhmgMefVXR66rjaLGc\n8corr7BYrPgH/+Dvc3p6ynrlUgGXo6Mjtne2ghWmoKrrR2kXG+y3qLWmRIvQvA4wLqTc/tVf/YQf\n/vCHPHv2DGsNRoq0JoaDIdcPdvFWgb/T6WJEoxq++/3v8eortxmOegqqTsDXyX/iU96k7ufYH3VL\nG8Q7xNjgPKxTFEe72vOv115CgIU8YL1ZhAGAaqeLlMzszKrVb2pF+ecXUlmh8fBuLu5Y2JkCxOlg\nN8YsMYkA1HxOoUQXwEdrovrEW+qCS6mPyfLLQDiFoOXZOht3dbFodSOPrTHti7zXsnkBMpbzBfPp\nlG+/+w20AnxF2emGMob5GVZt0/6iqe/CRmn3R8JpC03qahNypgKzEY4iAjZqgMrDtcAp9Nu5HHCb\nOrMgm9jWagrJcTwaDjs2dbBYjHF6qm06o2tDw04WgldqALKxErJcCmK2WnusVPtOf/s4cO1nRM49\n11wT31wLxuYJHfGCjDbwJjiAVGh1ypKt8ZDBcMhwOEhOrYODfV577RVmsxmz2SI9pSgKrf1aFilh\nAIISYiyFWIZWj+d+7bXXWCyWLBYLTk5O9FpvuH3nFjs725QB+COvmYwj64kV6jZrX8T9GXnS8/M5\nP/3Jezx8+DDMnKcshKKwrFZrHj95QbfX4fBwn8nWFt3OgOF4xN033+bm0RG7uzu6j4wF09AdbQov\nCu5YbqnGhxoUjvZa0OH+6irsSwiw8fgXSfnNmeGrnutfwod47zM+MYZIZfwpXACsVjKBb9Jx9bFB\nM41Hi6Tv8uwvVYOtN9RhYmITMeoLEpc2vIiG5kTnXOz3Jpg1h+hdBG4bj35Ol7cdXYkfTO8eAq+N\nMOh1WMxXKfUwJkFsHv53cZyzqk/YljYetUqC463tcPM4tw7cK8Gz7JJW3L5HMCOd1zOZpJmxtjMv\nhjk1mqX2SWfJb/Q3FnuJ97I2ntEU422jBfKLK3pEy6DOzXeXHVmTXZf/vxm7dpad5DUltKMtrU45\ndAkRJT5pW5E6ag2dOCRYKsYUegKqWPq9LiJGz77yKiSKTo9+f8T+ftQmNdTJVbVWj3KNl11CjHhM\nBun1enjv2dnZAULWoYeiU9Ltdul0ShWsNUgRHbHNkU5xPlILa7R2WrOgDvG8z54943x6hvce27H4\nShWVsizpdJS+OD45A2+ZzZZMtnYYjSeabdbtpbodlykoF/ZYoiO11Cixit+lCtNXay8hwLZ5KSMa\nZpWfSV/XNcbaNDmt34l6ZWM84S8C48uAVs3ERktoazL6XfqdWHAVPm4Sr/G6AUFa5jWiWSf4YCK6\nYG57ix4L1c7pT33xHp9UpPifaV+T3l1CX9bZ58E8c0JphNOzUzCG/nBAXa+ToyW+o2SUSRqnqNWG\nHd3okzX4y6X6LxR+aG3U2LeYhto8R89LwgvGOyqabDAjgk1JJBJopKzfIqHuw0VNPMbdJgsk9TmA\nKqQsqraQa+bRoOFBtMaL1nW1j2Pefv88gqF5rrQ04ZT55XwKbQLCke1tCyKtDb05BO3XV77FbarZ\nfkMdYT6GiXl87TS11GjUhDrbVAtFyOI+w9uFBBcRDWPT360wRQdrB+l9u92SKhZuLyKtl5/m27Yk\ncqvRGENZdul2hWpVsVrN6XRKtra2cMeOlV9Rr2sWsqKq9QRdY2J1tA47OzvcuHGD69evMxj2g1UW\nx6KtvKTTeBM2NMV/vHFq+XmlFVuRJn8DDfZvUIDr62nNxm/CJXKgiyZy7pgSEUwoBpKT5sAF0ysa\n+9HREbXYy7SPGPWzqUlKSn2UrAZp41VPffYbNT4lhDiBxkH6ttbY/KMxt0XMxe/EBVYrlsNbZyOo\nAEbo23q95stHT+htjXH1OlSFakdINO+RLaq8Ze8h2VjFcKYUupX/JHuGJo/kY9hw161QNnHUEmsH\nxKqcRuoAACAASURBVFjbIGIyTX8T3GP1MiLX5oV4jM1loJ/WT9TWLrknseehmHu8xmCTJMqpkAvv\n7H3qQxwbg03v1IxZCPOS9rgnR6I34E061j6u94ZsaOYl/7+GS5Ws6ioBWWtuxIVIDtPyRbTXRXO/\n9JmNZ3W5NIfrdVx/Oay0Oe9odm8K9qIo6HVLuh3LYqFH39y+fZtXX32V7e1tJpMJg9GAKpQ+tNYy\nXSw1gsEYalczmUw4PDyk3+/isrPBNrluoiIWgNRL8AnEs9JaxaP+9dpLp8HmA2+CiRTTMPMNBk0o\nTBqIWOIwpGjWXmMQkTah3jg+PF6UFzKikxSfnWgFHzSK2B/vL9II6e+L+fwmaS/NZjTBBEZI/RMa\ns765OgiD4HnPC+Ml7f4S4DDBrK7DmffWlqxWSxaLOUdHt9OY5ZrKBbBK4xrBMUp8/awNWEELkDaY\niVgkOBSiWa/nUOUAnp8822zWOEexrq9mQbVD3OLfTV883hmM1fjh+J1JfG3j0LjsnS+2Jl23iUKI\n5ENwgrqYfeUSpRVBJW9xY7cSFLwKnQg+cZwuFNsWjZk22KDcNlZNe8yl5YiMc9jtdpMmKSKQCtYE\nYI8nXWwMR5u3bD7Lw6xywFaTxiYNO4JzQ7+0+5UDrXMO60EKQayn1y955ZWb/OAH3wfg+PiY+XzO\npKpYrioVRFXN0WtauGWyu8+1a9eYbI+CABTwVZqz/Dk+gmw6UZhgVVp1cIngJKS3+xCZEkO5vmJ7\n6QA2mkugmyxhZ3ZN0raCJHK1owj5x3qBSyZN7R0mnMLqo+PMBWBNN2zMo8u0N9WGbRjg/IiRRhPL\nF2NaQDhqr5W3vNctJGKT+aERCi6Z2jbW/SQUBwlCQU3hS45W2RiTzb4nMKhqTqdTqtWKG9d28TFN\nwZPArj0Hze+VX3ZJ00uVyn5Bi1pnpHkaL7zeL/pqdT5c2ICNie/S+V8xHTgKy8aRmXX0gtnm8Ihr\nNn2qqeACPbPxvvl4Qjt2Vn9vlJeDsGZyp6tLGrPQXjPt8dB1l6/n2OraY20DwFGAR4GbrLAgYGNY\nogmvEtebPiOukdD3wCW6eHBiOlo8jIxyElH1bwHIJrDmgrhtQUTu+2LFr2aMG16+TcGQ0lUB6qpK\ne2F3Z5/xaIeiUE35/v0HHB8fB6BdIBj2Dw8QD9/89nf4zre/yZ1XbqWqXKQQzkYpSe8RLczw6rq2\nbTv8T3ukf/9r2PkvIcDWQfPJtcU21ypicXXVmKpGj6SQbJEk088Lvq4RY9PGFqOglpw00YOsP0wa\nbOP4MrhQ2d27tiOi6VOQmiJUbp3i6pLmmRZV2wMe13taeN5DNI/JNFmJRVAknf3VjFlmjmbXx8VS\ne8eDBw8QKwxGg2Z8sv/H329qdZF2jFEPqnnFOgFRM2m0rQagmo0WQU5Bpul7DCpvxgVyByEQEg/i\neV8bWnY2Ptr/iyAZvcMxZKy999vVvXLtMY6Nz+J2E3iF8CPnaNZpZoXk4xoFTbRiEgWTP8NLerV4\nVli7ilvsn3q59Thz1wgYadZ9XhJR3181bUlA4tIYxPfVC33Klmy9v2+y4PTfTahgssok1n+AIAYQ\n0ZhifFzfjRP1gpIQBUuwAjXsqocxFbdu3WHYH3Hr1i2ePHnCdDqjrmt63QF7e3sMh5oSe/vOLfr9\nTki88GhYlipXDehvhFLmeEGMwHCZBRE0cK8W3N+EMnjpADaaWxAXRJw6mmIg1BRleSF1sMXJ+kba\naxWqUGwFMiohTvLmglLexhNMeaIGq2E5ubbRnJJap/LORtqxk7rBGlCxISU2Py8sBzCfFq9P/SWe\nbJCKszR5/Y032hAz3KLZrfyZ58mjp7z95l2EkNYZzu5KPbzEHAwdVn4umpjETZuDiASHQ675NNp9\nM0c6Tw5CVEZTELspkL1pPdREFULS/Vz2jr9A20q1ccMRPhlXmOgRPD6c/pu/f6OFtwFciwCFegtB\n+/aExIOgpbUFVphHF0/kcC2gyfsbhU/MLLzQn/Rensqtw5yDZGs39DKMpQ88r6E5Mgci2LbGOP40\nOLxS+chgJsexi6cJNPOajTkonWeDkPRtGk3QUwySMpDGqG1tVXWFtUK3WyYF6ubNm0x2dphMtlmv\nV1hr6XX7jEYj+oM+W1tj+r1uqgyXCrtvCCplt+KJJ6LRPeGLSNV4b7K907wb3uS+x1+7vXQAm0u5\nRkaGJo12lOJAyTY6BPAKvxOSCZ6qVwVPqoJvA+ZRG0imnteoADGh2g6mZZKlLgUzKbVUESqY0tmZ\nXBJ2Ue3W6cVyrbNZdEHr0FCDpP25Onhkw8poa42NpzrfmMbAi+NzTqYLDq4doKfFSlrskZO8zATM\nv49pps5n7woKMrXT43OiAt4CPIeLCRtZ/0TChiTQENkYNtpmiBZI3/oQeoOagDTCpNHYa4hJC0KI\nWhBIkSWZIBEbNlZITXbR433R+5s0mFjVKvkGtCZppkQCIVOpbsDRB0sM2tx3un/6cUz1lWZt6gUq\nVAFjChX8mQrfHgPfOv3DZRpy3log78GbGDHt0zhE8ziCaw7k+e6Mx6cnii8b55Y1SNtqitdEekxE\nz9EqrKUoNC5WRNjdnbC7u6OpsuIwUoTIgxJbFlTrle4V2uuv9Sx0voP7o1FmvMdaCengmnxivE8h\nkLkW/1XbSwew0JZqmyZsXClRv2sOKNR/x7OvBJtCiaLTx+MSnyZRwjc2eBs8RQc6bgzFxjrTK03a\n0OI1xxrAt4Ci2XSCVXPTuMasDPfa1JxUk4txktm4ZGOTa48ibd7QZY4XawqeP3+G6Zaa/gik2q+e\nkBbaaP0qtFSiXzAVvb537asmbM4B2VE4JvHRPmneMcbLhGIqyUw1IM6F87sCmMaiKAH0vJfmyLVI\nE2Totwnmm1x0My4mfZ+PX7w+Fk43UXvNKaNg7eg9SffWf/w/3L1rsG3ZVR72jbn2OffefneD1I1a\nrxZIyKLEQxISwhYIwsMkLiCpssEufgQ7KRLAJOUiiZxfyb/AD8fBiSuVolJBVQFMgglIPCIEtgsk\nYaIK0aNFS2qht/rd6tftvvecvebIj/Gea+7T9zYxOcXsOn33XnutueZjzDG+MeYYY676PkWLuolp\nQqlDVW+G+2fLmKtHgR+donFOEy1CIpB2gGon5ghvwRjWTutnaxTjTItrVOatQNGdoC2CRyS6G36i\ni1G1L9qeaopuC9AdhhGBZ2LOG8aUr0GQrvjQCn3v9yfCdHfHAGSNY11Bux32q+R2WLKilJl7RsxD\n+8GrA7EIrd7a6Y3pvpBybhmsDYKluWsQRuLMY7gfqIyqY3XTgiUxBhbJGdsycjVJJo7JQlSrq5ds\ntZjvKgBb4YaEhXmziHvjwExqpWSodRZkfptYdGJrlq0x3LN7lqVF0V4DeE0Lxhh0HPSYUa0EECx4\n6MGHcNdtt+N413B1vzqDd7Y0IFgw/FhwsxnaBjkzB3NlRncUOaBg3TTglNhFFj3iPfIBZlv06xRR\nd76wydZv8l2FCRhjnsswnlubco3i6b7oWotFTxbNav3RtknS5WAMi3qeGN0JVrYoRErCVo8XUn9L\nogbqwEqsanm01zQTMzeYDyz3vbenD/2yHhPgyXhk7QAiAMj7CF5d8rNGf4VAyvUvKherDTqPo2kQ\nnewcNfvNotKU0Wqd1v42qc/mSlJv7mHRb63BcxrIQY5ST6cOWs0zQjvOcVxPFoSl3Qqcej91/mDm\nNfj66djrOrXRtb2h6y3njsHmY5njTzVt1jO3VohDMACTyIaislpixSKIZKdTkmMHcDVEnNCD+aWq\nah71kE7k6pJb2JptSFlwRIsFalJUTRti0wKUPehrMlMwRNQ8kstNE75w5Vr3UHl5x7jBcnx8EX2/\n4rFHn8Bbv+UNgoAAHEFOl7V3b9RVWRFugzObM6jD3eBQ3cqkDWZFbYphbPpsDtU8k9/VdUx1uPLp\nqVLUnc7yqurBk2KrXBAzPbg2wTaizHxiKCz3OzQIn+MRASfvEmeuANAslWRiUNTFkTXZRV34q9AV\nfmmMdOLjrcw1UDCcMWU6sbnOZg97s+8TuuBRdJY8UUzzyULdTVOJAZL6x8aY2m+cxtK8QXxoQtsi\n2+yN9tvKzXSQNQmZS7uDC2MThsqen0SOljJ6oLT+1DTRWuzV6Fl+6AYycqavOr7kWi/Bj0pJkZfX\nWs4dg7XiRCPrWRkfEM7dRsSmntmEVudrAtRVozo323228Py9k3aYJDXlOd5v5wLVNguqWXxi86aG\ntZbVfFGPo84TmDPrV+Rgqm5rhjDt6Bbe3Hf58hWsfIpLly7i6iqEsk8qr4zhYbXaJDql30JgJFef\n8nsl1lxIn2MIM8quT2IiqB4aNj8lEogtsqoDi6BfuS9Oe2VdeHGqrWk3OTn5gASV2Wf6AOR0h1i4\nObS2ul25aSS/TxG82yAp0+5oDiA3HRT6n8zTqALDQUWYyOS+JdrFqV4XWrY5l8OGTWAYi7F1o0wn\ntXkMXNCXIgBERX1EFJnk0nOZ7uzfrkZgWhhQMwpTjygryAm6rQGW7MmS1ZObmNLGd4f6wIZLmbxf\nBESMbyu5Yudmg2sr5y6SyxNYM9QZX6KVGsaNgWh6x9YAXclWmITV7wOLSqiGrrj8GZIUBGCSUQSs\ntqeZ7cYWekvMUk8n6GLDXCiOPwFQJlrat7U7yzqwSJoUZkg5F2tG8CQIdAUeePBLODo6xi23if9r\nLmMiYaKI1omILo6zt+RFEuUCE25whBFq/977nTdFDDl5Hlql33CCHzKP8bjJJsJS3N70jCTWdzcM\nic0rMoyMYdkDIs5cY2bRgsDqdWAaCkrfdjvLEjX6fAZ9dtUmWNuVw4835phUf81hYUEBIXAKcBho\npJvmpdraOmxGisGbCrOWqTZ/Y0Ovo/ZgCDiiojbRYFxNOtZ3ESo1eov0HqQ152M1bHa6u1QnAIuj\nc+LmKL352hueYdkMQ+mPtEkyt2UBxVu6Q9CfodkXUs4dg/WNoyaLyIimY6/hir10nJVJ2KZqSPIg\nvFhk4WrkKgkPg5uetWfkw1rQCpBUnN71WO3qPuTEwqJuyznuXNBsflf0f1A9eXX7qpzECl8smXDj\nCBwJf9z3Ffff/2d4zVffg9ZPsa4WyqjIekJY41wAmuC8C8MRd7WmzGdkYuq5oGnlvC1+T3aDS6WT\n/y47+02ZdvIm8UWu6qmPnyE4qbNB/HTl32D+mcGPDC4jKXmn3mPhyGmRrmsIoxKnnuy5GYExd0fF\ndsy7ZwRP8xf9pNIW28Rl1mOqe9SdR7H3LjZ7Pe24wd4jbZC2GKOKMOJgljpe3i5GY4B7iq5LzLSE\nzVJ4Rjj9p3+9r6mtmWbEZQ4+7jw+k1B6FgKWdtDWxvgnjLgCiPFod9dQk9a1FYCjsLr2cu4YbFFD\n8yF4QM3aXxinqUDxvTK68gIASGqiMebwtTSGZd/9vl7NDJ1ZknHoSbG+DidEtVkMwz25vfaOcG0J\n++JqarSrLpEJN9tgW2t49tnn8ODjT+DOO78KV0/tmJazw0RHZh/2X0Pk8lkIONcTCN4XFzLSyRsP\nqO9ourjH69bWtJjLAjLhYsjIFslGaDSg59BMabt5nHC6j3kNhA3VXLwfokk1LIiNI3MDi/EvC3om\nxKlvaDTU2GCca1/RO6n2pOiUDI1L2wodW11ITKpLsE3Mk3mohDnD0LVljIs7x1N4A42W0xdi2lzQ\nR1FQhNX9p0X7CiZm32UeZN5jLyL6Zm02xthXWzdIYyjCOZsIpnPAq58TttOkS4DQECXbOo3tvM5y\n7hhsazuRPJa0xSYlLxBNgmLuV7nkQchSFgMh5AMPBV2sRW1xJmtqFTdZp8PihiEQrFjBvqiyOjeW\njFj8mrbJ2dVwjyGyFjGSiphXPXa6qozCDAhHS8PNN99YHMRFTU+qKqe/sR5nYIurXEQUCTJ8zFYn\ncBujnJCnmERSopNqC2NvB+s5TVYPAbqBlExDisqcxyTTz8i4xA3CghQE7S1LLBqhO721VTNAqSfN\nRwgRQ89hb5R+L1oX1FxiiJI3DAQIGq9CbjRrmFlINKbcvjHVYdBCCK8G8+7Q8egkJzcD2K9r2e23\nsbT6DiXPCcZexz68ETTiMqHEWTKV0CT8UxGi9m4ictojwAMAmOvYhZZTQZfNjX3eZw1l4CdjDunr\nLeduk4vXjg6GpPm0BWOuMHIPJRuOPgUgiAscGyNxoN/wHmY/qdTKbChNRWFiD5t0MwNb7gBOxMEJ\ngcTm08bWiTr5xpgLg+cmO5++Iy/+Ctwloiwj1oyIrazrHjffeMkZoqhiikoTbZtzhLVFBiOhG1Ef\n9HKKjFFGbkw75iLMC2O/gXB3i5MK1DsBAGibA5fZ/HLldnKncHEPExeyprZZvUfNSyNqiVJpiGzh\nJ3oZT2OQqWQfL9K8ttIv8mxeoQrvi//oiIjiHXaMuZw0LMEb+r48T9oGn+/EoFzbkQzr5V1WfD+Y\nxcUKvSkHl3UQqvp2H8BstiXKUn/LKRL9XaQeCLoh2MxXFuEpYmsDaczsWc9R27MNtwaNGK25ZgTj\nBNC1Cjej2U3++4YuIgtfL/04oAlfYzl3CNbigQFsOjZOoAyeqQOqNjGBaAn7yvO4VjiB9Kq2ZWaX\n1c4snT2V73Avp3q9rYkANxOWkEd+TvhPWpy8na6xTm9f73j08cdx00034fj4qKYybHNUZggSWZBY\nko4eKGC/rorANG9EUr2zmAommRdl1JkRnZVy8q+nRcyIzoIxbKz0uWRPZmXXnDYBKxJSBKmIuHd9\nnrr6qybTjo0HC6PviiBtYzXotYpnF5qKsvO8VNteFgJiO27Eoa6n+ZW8DLWuMYl1FmZjdqxsfxTT\nDCOfwAtkoR/jlc0Es+8lpiujb9W6vF6eMCtFuCMqbsUsNCLn/JulCE39ZvYGOTMd1lhek1lTaWkf\nI4edd3BA5esoL5jBEtFniOjDRPQnRPTHeu0OIvpdIvoEEb2HiG5L9/9DIvokEd1HRN9zsF4LEEqD\nYruMLo06+c52QXzOEMwpOId3zI+osO8ZeThoq/2tE0EST2NJBEcJrlDD7VFT5sp1EZHW62qZqVS8\nxqJzO1xKn1jauWC3k02m5557FjfdeKsOgz5HlQnbEScmLPweGBPRdzTSyaneHFkwYdhsiPtiQTKL\nd4P5Ic5I0G1sXTUTFshNRBq6mXNVLJ4jdYsORctA50DkWTvQnofqndXLljbfdMy64Z8wNQQNKjov\nNtsQEm4vpzhfrrVdoQsiGedR4EhkGfz3Yr/PoENRWAf7PNt8AkDbLT7PGdXZKSHQ3mXGygfeNWXo\nxrj8AbG/msx0LayYB9gzWo0CP967BVe2NlyzbZkBb9vn7UztjzZH0iFz88r9tfcNDgnXVP48CJYB\nvJ2Zv4mZ36zX3gHgd5n5NQB+T7+DiF4H4IcAvA7AXwfwT+msszlSkYHXRCt+MWetT/eydKkgR9uo\nsPyOSEzOHlaicAmXPns9xoSpTiSgrh+ZYJGYSVm0lZDq4hhUyOwiZO3u5Mm6x7oBuB/ofi/I6Lnn\nruDihR0ABuvGTW6foMm0MLI6eg2kkdGl/CvoYo7UBW2Znbdz/r3BVDQbS1cJuzFSlgWLWDAmJI1B\nlrbp/zODCYYuppdIsWeCROrtzOJxMfqkKmKaqY3yW9cNspoMZ8s8hNGO98nL1gmNaWL1TiCOZNCW\necu0ppV7QfIFtTup22CodgAIUGCoeSFc7kaEt6W3JlF9Ay2ObDIHesDs8rD554OMy+aiJ+EX2mUg\nWySkDITpLJtR7J15DGKNro6Yd9RSPIEJS8IYJXit5c9rIhjH8vsB/IJ+/gUAP6iffwDALzHzKTN/\nBsD9AN6M5ynhWiJSRXYDSRiNE6mcRQRefcFYsmZOPnweLw1BljnX5ohgx1KkoH0erh9K4uxEYkQF\n+Mm2mUlwJopUN7XFswBF6jnZBMwqjxEKaZ9bA65cPQVTw+nV02LykHY2RwEzZu05M1Xt77rpJMw9\nzDHy/jDDWNRQZbK22aVIWBGTuRLJnClj69JX83V0VRHm41ndv6RdhzcinLk1YYB5vOKzIVh4XWPs\nvfwiKqO4alUf2TyOoSFAmFbfLsy8G84sISzGdPpqAk60JJsFO868nD6bkFkwGTVZdFkX9n4Rbpwi\n6tRdy/rYtkzUylY4iyC/evUU+1XnbSJQjIm754kj+NU1RYvM29BiEgZFi9E+VkRd129ZG30f42gC\ntPfQkJP5a+UO9g1RHU2fv+tnl39eBPteIvogEf2Heu1OZn5IPz8E4E79/BIAX0jPfgHA3dNKE3QP\nxpWIitfkRK3WHxaDOg2bGsZAha8aMWf1kmISn6ej1rbx+tq7mLKSXWr8c9VfGXQmDMlRq1s8htYB\nt/fkV4rEXvViRXI2Zp0JvAInJxLM8PKXvgQdXQ/5y6oO+5+0hwqzzyqcjVdlRsHkRtVR/qR3Pg/d\nmLK2d1jHxAhVkuAbXV03OA2d9T7a6nYYydj6Y+3xY3XKBlweO9vxz2Ntdlz7i75W5pzHrA1jsU5R\ncLR9CRPCrH4aBUJzX9qMyJqq83lQmdU8gGzegHro+EjJf0QFzcf4VLU8f+6948qVK3j44Ufw0EMP\n4+TkxH4sfTDgsdCumOBMCDMgOQt0w7hs1mbhQSQbzWwC/2yhWvhAGndbg64poa5dbIRl9YO+3vLn\n8SL4q8z8ABG9CMDvEtF9+UdmZjq7ZQd+k93BsAkJE83ySaSOIjVjDsMiJ0rMWi4Kc1tCpcqMZLX0\nhzmFG9KgI+B6nkCR/E3Sw2WmaiaDQZrnhSF9EWk6Hp0tY6CImRagERqrNCWAYQETiwqNGM5lR+D9\niltuvhG333Er9vu9jCEBzUMntUO92rB9cWfmCEPWmanGiFjGepk9c3+B8z3WE4KNWUbnySrXsRes\n40JQhUzEp7PP+yGbXSws0xcyc9DTJLTpYRvVZnRoLlQfHIzHiQNyDzqjLcayM2O1PpgpROcSIzq0\nsdM57+QbW7LxFCjVj3B3QWqO/ZWhuqWkbMY0yeBmP1qQCNnR65SSiucN4chLMAoHZkn4c9ONl5Sn\nkycAsigt76U+v66RLrIciUOC0uUI9DCb5FEKmjRm2TbAiEhQtEePtRQqi+ZrROieNmaNLXKvIGbM\n23Ct5QUzWGZ+QP99hIh+DaLyP0REdzHzg0T0VQAe1tu/COBl6fGX6rVN+W//0X8H69hbv/Vb8Na3\nvqUMMhGhMYn6r0RLiaAMkRiBG3PNtjb36UzPAMnVBXViHcq0qloa8ezXNVxVkNTLgWnNbJMMOHGG\nLTGduOrXlgFFJDsjd3fpAjpO9xI3/5rXvBqnp6fY7XaeV9NcmbgwcyDU+LBtiw206fjZXnHdWBzH\nMAshIKFAlgxJfg8BHeLfunZDEX1C6Fb/6uPT8uLJR4f36jLk422bYI1BvSebrHkySFsjcYrSiSbj\njn6HcKEUtjy0tDD0Wcl04HNAJqhGRqf3szIY4TIibFi2rApTayYcVgsErvRn7msI5iepEM0NL5C0\njQN8Q7Jv2n7jLRexW46dvvb7vbt7jf31aco+2HqtLSinR4wI1KiLWQCJZdRzho3Y4AYAO1trpHGr\ng4Z3WBmZ7vve90d43/s+sLnvWgsdIugzHyK6AcDCzE8T0Y0A3gPgvwbwXQAeY+afIaJ3ALiNmd9B\nssn1ixAmfDeA9wL4Gh5eTkT82c99wr9bnDHzKkc2G3MEROX3+0RO5Lj8bJzPpRzDQb7S7P0RJFCQ\nlpkeBLV0td94NRAn7WWJBC8jIU7GsEjmXFcfJtncd5jZ3WqMkeeosDychvpM4vcVoLZ1Zxm/m/o3\nIpcRWQjyE//BYi7I0XcCmTXHq0UdyaaFz0Vy+J4t4OxfmxNQZxTkc53eXXbLbeFaxjW7p8xNK21g\nDTf1cSJgzlDrnEbSZpkzD491G2A2EdRQY3vOP6umRarK9hSgYUI4J6eXypqbFvzQUFP/E7AIACAR\niC6Ymr1z8bFw01tx7wtb9WwcRoof14ELsQEZG3J0Wy0c20jPObkx2jj6WsrmmCV9ziYd0lwTRge2\n0bhgXANBC/H8i1/8SvB1QNkXimDvBPBrOjA7AP8rM7+HiD4I4FeI6O8B+AyAv6UN+xgR/QqAjwHY\nA/jxkblaiU0tGwQxhptjOYGdufnS43WYvFg0JsGbO3PXxCX6QLFnaZv9XyJjqB29t4KKpW45IaCz\nMAzAmORgf1OUaUy4MDfrSxoLI1QGww+mc9WXN3YoN0sAiBh8gPWIh97ngicz2rwQKrOLHLqxEHK4\nhDVCEJLl15S0h4H+us8L4Ed1mF1V8/QGUx81E/JxH9tnC4kAOV1B25eZzyAX5wg81c069qzwkQJ6\nW/MntAefI4YiT2ZF3dvE6FX4bplVZiZ2b++CUKmFMPQcFzo1VJhhhEhzJzRL5wt4/gGf/564mbeR\nYUly/TgZBpYl1mERVhxrVIRTl03KVMa5lbaGrdnabp4npkeM55QNowXTglojRdXaD9XcCLFG8jM5\nv0L4NsfxOjOwdi3lBSHYf1OFiPgzn/24fd6qGZwy+eRNAYwSsvqemmsQ88SBG9hI21yyzQgIdJkH\n2ySotWPoU0xQrlef269A0zbt93FSAG8kdd3Aa2Z/I3L1DECydSUXLFafCrX1ztDUrN12PRBsnM1l\nC8EWaPcDJM3li0F9KZsyY8mKZDebMzKRB0ons59Z2xxlzEqr9GCeCr5YBreihOa3TNdoySCULvql\nPpvvi3qGI2qATf3bRbsVyka3HkpLmSE0Hzf3DfX8NlUQ+UkWJFqFCJ+loGyx78L/HeeOKFyWIhig\nalzZTbJ31SVIoiqNUeXjy8f687/+W6bH9H22dqsmBtgJ0hYssp3jGvDhyc4Twjak+5Vf+fLrQrDn\nLpLLiqWLo2R7DIk2xnG39Ae/1+9pqiYl5spASe6c1XVlpeWdAKaqeG3z7HpTZ3fpD6eddDHKmrcE\n2wAAIABJREFUh9puAQK5jZzqNpXV2tmZCwpiZs9nkOuxzwtZmjdbmHM6EZeh7ptPmYHUfqojeRJ2\nZLax3uYhuMN4OVFnN5oetjJX29HcPCR+qivCSIQU9ZXGj22zLcWuK+Oze3Lb5Dv52NQotXBLa64c\n2JgQLNqrqrxr6eNWiOni7okuOb0fScBZFi1Lae5p+pR+9MQNNCqIdBxn+752KPOLNjIH47Wxq4Ek\nVsIp3/siFYPWiJ4r57epm6HEfCTNcSPIA6hkhueeGjZPzJN2pRb6mOvr17w5K3XJ5q+YXoQX5PbE\nWM3H4NrKuctFICUdW503o6Cq7oQxiJ+7qJlAVhuVMD1RBOuBdaE6FuSpDHWWSMbflVApMGcecd+q\nBnhSXWxNTHP1Bcmj/qrj4KgCyujdfcuYQY97ewcWjVxihvmbdjbiDAI+1O7ixNPYE7MEM66II2sP\nwUhiXDy58gFmztpOseXq8c86bpYfVhZUaqOjWv1OJGYGal5HtFH0SzEdBFNw1c/aQMHYAp2reSAL\nK/My8Ppb8n6oXiTyV4X+ONqAIKyipjMXUiiIbNjQhW7uWJpCUHM/a6dv09xN3U/tyXNj56i5lcOF\nUtMxjbXYu+45sJjtfLTtOAPJxZXWVUeDHtbYoOYTRmcTGMmRX+fDaHX0RQqhXIVjzF1Xk5iAFovO\nyhnQmLubOBqpe6Pm+sieTOZFckgLe75yDhFs3rzYqg75uyMOPd4E1Dcp74LoUy5YZa6GEPOCsLR2\nAMqCmbXDQzr1npohaFQ5TBUJwjfbmX4p9cb7UvTZJBY6x2nn30dkQEQFyeUxLPalViN3cp7PvMkz\nV+vyhle1LxLpphEnVKuIK+rbmkEkGIFivNEctS9pLFfUgI0yRtRLiHAZNwtgoLQ5l6pgoNS7oQeG\nnqqr/Un0M2oXdn+pf3hfjKdoO7QMm4beBuu5oqtuDdCxK5m91vQ5ELy4bMW8jpqvkyaHeu1IN8Xs\nm//q2nsV3hpM0IikPcx+7L3jDZqv7Ux7ItgGBJnd1sY5IpS8uYAArEMCDtpGKpuMwTsO0dW1lHOI\nYO0QOIHsuVvUmtgYy/0qYXVjhbEHsIDXHswBJrUASejch0XSwgXLwiazE31itI0sQ1BF150ld5Aw\nbNI+hK9iXmwCVq2OLbOKLF/dhDmi9loKmu6GuKLd2rjNAh3zfJp91SJ7JLkLgZJXBHOoad0RdG0H\nfO9c2t9BfkaSJ1IhwTwj0T6vYHUboiCMntVoHUy23ANkzwczGm1v5qIljJHdTUhQGPt4Z4HkdGDj\nVw7DVB7nSGkX4cEmSBRFE1KbDE1vTBaM3gmxS55pa0BUTe2ELMmPjFSkbeajamOsGpp54midMi+j\nXZt0k9Js8ARz2cvjkv/tuk5mxfth89UJPHHrGu204gVjGpv48bas4ShYaWTeJIy2LAWsWN22AW20\nDlKv70Zwnz4zI7Xdxkvheso5ZLBW4jRSJ94ksZgZi6sRduqAIb7u9h2RpJDJzOhNl89Cu7qQVEUy\nyWoqrhyexlhtEY5Hj5T8CEF8zRd6dXvy96mAIDIGN26SKGGr/+bMZlUZsdqN0imtzBwmBmzdg3qX\nHeGMlqu6GqqSnxZKmenEuViWyBheR7y3bDYCaumtjDbcfhjrvoOWiDBSCen1GnqLeRam2CiEURZm\nVsKdD2DeI9ujjcmM7lSGZIhqEpQF4qwW8xaeFRlRGVIUAVPDcOtY23vSke0kib79YD+Yv2e2owu6\n116gJqKRMVpXYdplJ55t47e64kW7GL3bJmp147P7ZmHiNkNl3G3WkjCxfttvjLqRnAVaU4AFRDpS\nIhYwYG9LzNrbSbaf0ESYNKjGyOrdUNi7fy+8B9h4QlxLOXcMNghb7XFwYZyKuE/kTaeFdv6ZIapI\nOfaaWepMUpaIsO+nesSIOJUbs7ahNeKX7Pc1sgUwtyJtcQ9Eai5DFsfMzJ6Z30oQGTtzDQbclHiN\nECBEMoRzEkPdknqueNN+QTKDjyvrsmyRGX+qYjMrGturcMu/GbKxRZGThQxLTDNBsbICUeWGyJ48\nPktThmPjHfX5LrouMEOiBNllBw+My8A8zOVM2ZEnkFHthdrGnYsnDMHKSmIiyKaOjSYKpM3FYCTM\nEeHkreNKF8Lg1POBrO/qCQCxr2dmaE2TI+6pmI3c1mjChy0jmzHP2uesIkuotTFU638dK+m7Ahxl\nmi6cDPWT5kLmGhabgVMGUsbkbKx83HscxFk2YA2xJubYVwWnfvzT4oAkimq1TGpTr/PMLIj4esu5\ns8FygugG/W2wy8pONhILz5zZTsX2yGIC0Do2tkezTep7Dw+L7JC62tkNsWTBMGyyRe6zgoK0t/p8\n3fmX59diYKelzW2wRtxqS4R6LDCz704DtsCrTdDsknmzzUwNdo/33JO9jM7xUi8Qql1kOYJfl3sS\nwapa7q5FE65kTKmefWUM3xA/Sq4A6Q9N+5rb4v0tL1wKM67tjzZtbKhLHpOt3d7m3T9PIENoVtgI\nB+jImcuTq+LpCBaLrW/Qo4u4uUnF2s3dmHJKkM3hahdJfLjM35IYy9Z3F7KmgDQnW88JQ819XUtf\nZ4IrJ17KY5dVdBsBMYnUdTOOd21v9oYJ+hD8P9Zl4ES9ZXiP6y3nEMGa2hxI0TNfJWQXBGzRMhxh\nfkiqMhq4W35YLZ3E3tZEHaTsU+sMngDmSojWRqkEElkW7YC6QwuKVfzRNYzVF7g5MVe1kE2k8uhP\nGwgxnNopIZ16RpfbOTmNJ+smoB4GaH0K4qv2NHevymozw1UyxE+buRsXXzDdlpCPtku1EItSG5Fb\n5Pjc6jGRI2ASbAFgdNkDkDa6WBBeGefkVK5nhM28Hcc+uqrMcJtgNuWQ0gHsiHUE4s10bCq49q6E\nXvt4QZhCnTvAgjlGlboISFtTvrZC22usGhvl8ahCM1/LtOe385BsxsYqARoMdGdr2xLeb2gH1kYT\nIpk52hraw04WNpty73t1abS9DOMbiDYTqba6xHwV7QGwFJzBe66/nDsE6/HqlIlLdnstrZggLJ9Z\nf/YgitWNjzJZHne++HtJmZTbqCywQZNjxGjpohZdpwDrjZoLAM5ULZomewmwI/PqPUDIaNrscsZs\nxSmBHa1apvuIP6BQKcGiyiW0OLYzfx/PS3Jk0ZpnY6rCaNPjTd2Z4W8Q8/aJdG8f7t06qBsT5lVs\nbbK4BmauI2FO+RlljQgV6EVbKOPVYlyLCSIJo9I2spNwyefM1N3a/jVkRcrw7+yfAl3mNjNzaGCK\n5GlpJVS43Jv+ld+40EqMWWghM0Sa1xerWabQFDshDnOQb7EN08R4dZ5MEJb702cZU10PMFAlpyM0\n2oUwpbD7Wh7ZQnOsyDXtIdTXEghLcV+8nnLuGKxLMmZBjbTA1C5HLGo3sy4bkyIs6KvYZ/wUBGZY\nZnUrTDk5sbiScJeNmgZJP5jj2h15cHdVVGtSd5CKpAoRYiSMfFRyvcdNIZNiyVCESVT3EkaoMSXW\nHMEcClpiuHtRblduT1Vjk3sZhZDIu9uR5m5EmtVJu7V85Mha2peZVPS7Klnh/L/Azrd326Y+Z8xr\ny4zs38hN2oZxAXWMbjlFzU7Xx/ZSC7NLRpN5adLScHTh2NNH+tjpC7ppG6iqMrEZkkJdNve/eN/q\nv1m7RnNFLs7gugim6HdsnoVJs/a1ghk7gaKebkGDdpFPJhnzEzOznv6RcyvXdlaBJuacclosK+Wy\n7buQWBFyI4yH8KqaZYypC2Vf47b5zPZtOo5nlXPHYGMTWT5IGOj2bKYBNiKSiSTEwdtJnql3bFFW\nLF4C+yT9zaUjE2tZfBQTM8ZJz4iSmTTowf5mSAsYp4YQxK8vE+SS1DoiAqiBm+QhrYiOXFgY8yyn\n7qayXZBpodICi7AzNzhhdLJ0Zv0xlGXmCGgABQEAwx3WrS3jUTIjmo56Y4PKUJj51o6qLq8mELL9\nHQlh6bHSRL6o7G/cNR/7Z+YEEpvHMIbi0dBTFi8LbQ6hshWsRbwxY88iPFtiCLyGl8RoGjG/67OY\nrAjT5n7hzkD8aBwNNZ0g2FELmtXfMQiXSR8NBAWDlj4YHTAlQc6RH3hmj7ZjjpzKlH8acxZ6yxpn\nT/whmGq4pfVy/YWUc2eDhQ6koSiT4W10PQEBGpElE7W6G4WrsB1iZ7VDz/V8oKohhG1InhV/2a5o\ntalthtWmE3uw0iphKtK21XdjyYOqTMoClSizjS+jgfhufZb7F0Vtlmy8IIn03SU2CVoylMpsad2i\nTSOSBlBsd44sNWxZmEgPBtSlTZ5wpG/deHK/66K0KKe6IZHfaz6fNU9uHsdgrkjt8nn1TcRws6MW\nHha95+xrYy7SiYkgjbmlk0FnqKOHepFUerJzzTIaG8e8q8nLTDA92eitPtMslmVx1EatOVMMgRD5\ncuX56EN9f40yc82sE3TQhbmizsms5PmSxSJjxUxYPZMXprRhbbMxNhoVgST7Bpy1Vf1u8+H1pixi\n0U8TFCP4IamRsieCzfMKS+CfTRXG+K+3nDsGK0ehyMZOk5g6zQWkBK4xzTL54h9oybIXiigfQyjM\nHZjY47JaSinbDzOXmPJAALoYrZ1a/7rucdQWDd8ll45EhL4ysr+1T7oxKx5V8XqvbADI/fsOGOor\nMfigsvCZISiWtbWNYKlcjbla+2Zj4nZgc9bn8RndBbfFl/rbEnKcLch87ayM9GOb7L1xdta4SRdj\nOyK2jcbCMRaWQMXt2hSJcOx+20zLtjuyOtg8U/wBGRMbm5JkZoUsW7H5i6CsDEGEVpihcl7blsaN\nYfMridRj4TdFbOz98THq7Hbl7dzrWAMufAQxkgfgGHMMAaxaCGWTjwqfJJAcORL5MfZKVhvUSwj3\nK6fydE92Z2tNgwiy0DazHkI8Sle3ew6CRFrqedI4dU2tmurRvYsPCJizyrkzEQBbabvXRW1HR1th\n6ITQEqGB+YTM9G8MzpBY2uZGVYxoxNbNIx/IZ08tyxF68lBo6T20jO+2/vVy/25ZNrvFptpnx1dT\n8QOx1Q0XRpw4m8fJXNAN2SwUyKe8M383X8DEzM0GWW19HSHpcx/HzRW1mytKuBZirfcYQor3CUM0\npqd9SolTCkKn+BNzUNJsUmlY9DBBhpzmS65u+rhaRBmiPQA2ttsYzxDO2UabTz5uTYFCTpwzBH50\nnWP7PYQ5p2equ524YEmiI1GZxWxGaRzFkiSMuvYhM+r4vffuPqlbZDyZR/3JD2lM92eB6OfWGQPP\nTt9kZpSOEIjk9lybPUApwuaYkVwMbT7y/o30iyiduKsbxkurOX23OZGfv5xLBiunwFZ7IRH5Dm5M\nOFzNscXTmiBciT8PCWcGdmIz4MuCD9cdRDIVMztsVNb4bn+iQjPQI0GzsmOpk6sKz71XwrH3GvNG\nMnEMjDIzDQLQkoqb/7X7mNntfdJPAveGU9vBTvlhkd6Z30dI9+ihe2FztbHIKGqLkALxsCLC6rCd\nxzMLvdyn8ACQ+Q97vDJe290fVOLxM4DwiW1bRgxg2DixjG7p/CxA6ISAhTEsVq9F0gqW0wla6Vu+\nnjeWot0VTJg7k4zLOjyf/H4R6SpLvwetIYcQ+xg08vR+SIi75NJImp0x3Cx4SwABUEGAuAKlNlR6\nY/lQ7Ku5/eNBm07zEEECXefm1XBImzFvoXLyrB6mymOgAUcmtest547Bmo0xE4hMpB073cuiJa6L\n2bLmR2IKw2BalyM86H0pPHChUv+yEwtKtqGOpw245FUGZO+ztG9mU7LnG+2CQA1NoZV6uiJV38hS\nJLFyT14WDUyLu/3kYuMFCPPe79OR3bT69dwHH4NRfVQB1sEpo74uMhZmK5/1uieLkXr3fU3mAGEk\nh95nTNRQemaucb+hui0Cj7muz4cwrIIoHPol2xLBNqIUafU0nvu12LN9DpcGSr7Zgda1xy68lhhH\nbBf8TIjnQrSAJ0zY1N/xWOms3RiNWaJYMQrMBaI2MtB+vuybyOYBMd8MzNpYBi+5j4cQb/7tEG2a\nthZZ76xPKOYy2Bg0o8fYXJR7UJ63o26c0aPS2Qsp547Bji4mZ+3iVemU/yVnADFAobpDAwKC6ZgE\nQ/FPlPBYs/1s30/K4MTMkzMukRNwdl2Zq48hNIBqdxvviw0N2VGW9I1hc65uJM1de/LGVVNXGKJI\nyVKQGaqqaUisnjbKft0WTVebYzUpa6ITmHp1qP8236ToZlC13U46t4WNyDvXu71HXd0S4kOeG5tP\nNKCFKjrOScwrgWm7CLMKK0iQ/KCAzJDG+rb20W2dtcw1K39GtcAw78zd4QrKS0EQ6rpf3l2ZYN18\n9ATbkBXnAh7qDbGuhQoqiNq6OtrvdjSS/WUtbzZWRKQ5Fsw7oQoEoedoJw11kLaXKWzCL6ScOwY7\nIhq7Zqgo7CyqkqfjLfKRE0YctnBDTY26x8kz9VfQS2IeXVQSCTVM9tbWwi1IXb1qWjSViAw4eqPu\niNQ206Jke6shv0hgHBEnpOoMnKAdWac4dRu7zHizycDP9JrYDuO7hN5aPoe8sGo7K+Jh9WHe7Xbi\nBpTspT6nDM9FIOMJSOanIRz3wObMTGidicYzahvCq/MssNpxR+E083HNJVTnLIhIPVPCZ3Pbj9VP\nDxj7d7hkX+LRjSpoxtplbZf5niPF8X0L6blfvv4W2NHxWWCFCYmcURXwk8ZwFIbjfI2nOmfzy2yu\n4rdsTtH10lXLwjLZ4G3D8+QmFE+KpJoiUO+/nnL+GKzFRlNljkYcMWlcmGt2Ns+DHeGdW4SQJabH\ncAPAFCnEBlK4+eyTRKRkfkh/ir5qLgBlnOkVcT29kVKfs10oLXKkRR2+lt3zZxrROrpgLkfMZIf3\nETXYNVHJhiPNKd87xP1zRg7GXEdkrPW0dPRLikYb5yoi13jYza7tHuuvTCMEtrlPiZ+q2lk1Ft1t\nhhTIMrJ+hfdCIMGZ1mGIm8KtaFLCbJHtq1pfuXObW3bGrM9iYD5GaXxznZk2pf+C/CKpkjLtHiah\nYNrdvQMyU5wl8sk0ma+N7c1IuLSxqPCyHuS/va7PlDvB1ki6f/zb7/flWPFcRLhYDpLrNxecOzct\nwJiYFIPyM/XIcEYssEx8siFj9cl9kVbPJHLvjEZh+yXLlekuHJFsRAB07N4aI5FFJy5l6AwsKVxS\nM7zbZLbFCFazCpEsrhzC6YtO+zlGM/kYaXb909NTkfbOAG2xDjv5mi92TCAtSLK7SpzfIeMqCyqO\ndJY8pZFaL1CNIX57btPm3B7ChqCt5GdH7+PctllSa/ckkBFA8iZzhm+04vUgFpwg+zB9ZKZFmzZ3\nNwBWBF+RLiPshdJu+JxLnZm5mkDSa963Ve3e7JrSTOVfWnN7eQOha0Lw2CAVc8XI9OTdec2Im1pl\nhuFv3NmOULfIuQAJs9NmbV37XAxO6VlwiqbGgOfpSInn7XlkG7fiXWLJTqjzbxtZxvg9C1uaI9Ee\nJBXiFnD0QmvXW84dg2WSSe7J3UYY5YoA3F0YWpi2lUDst+rTaPcKQxViWJadPmfc0lIZWr5TvWwL\nqzBVYd69y+mVBIhNtJOk2JMV4YzJiqmKEt7anPFqxbKg1MlZzAEA91MAKxrtwrRgY6XoPkdCWRt7\n71ho56jWmIW0eSn3so2feQVO1Dl/L1Fy0N8upFliFmNaI5LZMMcDAKHLQMl9AxPL9bbWnLlC+4XB\nN3fcZPO5SQs1fqc0VtuwYhsDGIpX/+Z8jwlhs8daO+VnY45zIVPZkc1RFpxj+jxKwCKNVxN87puo\niveKzysSuk1jLMK9l3vqwZ9BF77efGzm+wkExPH2en9Gu36fp9Ekn/+xLvcV1405WPirIldjwlav\npRwsCFhbkQ8cRf6dxDef+PoV/vNnIvCwWGFyzVV/O6fdDPVZGck2J7WjZtuQbWyQoRc5Qln8BJsg\nP8r2o9Xjs7mL3yDSsSP5bB/31/NIEnUPa6HqWiIONKq7uUJp6l6iqKOJYV02jNJpsdpe5uRhoOUQ\n6rSwwrBxysIb810SqWBITKEewSE+vcE8xE46s0Wexbzy7+N9fGAByfRWm95oEsjXO1g9L9ZN26pK\nLKGQhr7MrzP7+I6huKUfq7VhCYRl88/Drjo1ZNdCs60H42rDn9FzHbfq+bH6n/eP2f02x/FdueaE\nyKYCH+YUzlvHqM5vuGzp+Jhwgpj4liFFZ54zUfLCbZLtvckFy80yrgoNG995TtOnnD9kNAmkDgDM\nWPd71+ZiLqy/g9cKM0bXymst547BAkFABEYkXsgbXnXHsS7K7owp228Bm7ggGptE3xFO7w/3J80v\nyQw/MoVQiUxdqcJrQTaGbD91THgCJHXNbSE501NSLdNf7M9GfRt0kIi678W1a9cWtLbg5GSPp596\nFr1vmWKxbw/MJBBH/TNhw1wFz6ztIwPNaudoCxxpYexb6ePERJDtpmNd2ZshFmJP8wkErbGtx9QP\noa+2ZMYhJpLOuR1z+2gw0dyu6joX45SZW9vUF39reAkUM9l2neR57t7Gw6rvzJ0vawLZi8DcC33D\nlUM1J9S5HGluTUFEtja87Sm7mNVj6r+NKSN8ZyleslGK7L3ikpWPTsrCL49tHr+5pnFWOXcmgggf\nbYC6wBhTE7Uc2BKvTaFV0tB5y4CLKglBZBLvD5ia4ERAXXJsIgIVzG5rqlgQnPqcIu43dRBaRy5B\nrL1sCghT7q7GUSdxQ9V8svFcqI5CLMGQra+9d6y84vTKikcfeRxPPPEkPv3pz+Kuu16Mb/iK12Oe\nanCrKksfsmmGJ/dXBtdaE7swUUnWbHW4rdkQ1DK3DYzM1WvowQDDbl3rMLt1ZcguQuV5q1sq29Rj\n33uPUysAiR40bUDuk1psLCxianuIYGYwtGFucTjm2G5jroe1A8aKsM40rVeDIxiOFn1+0c0iBiFT\nMc0ZXYbP8l7fY+qzaJlyTdlHb25D8yTopW2HS+9dbcYdTtqoiJE5NAiCmUqSeWEYY0rPAInhp3GW\ntR5mRqIO7jtQG4/iESE7CohrLecPwerJsOZwnic8zsEyd5GtWklETrNEWzQ27l4yKW3ogjCfOfPJ\n9J1wmCTuylzJc6MCdUIzus2uWDFBCS3m6+ZrqqYJe6as0177nPs3quytNVy4cAG33HYrvvCFL+CO\n22/Ga7/21Rh4USneLmvSaG9M19rw3lyWJSKf6jxRsZVOTQLITHRrXiimAfUssDaL7y9QkbZlRop6\nSiBLDr0sLn12JFAe60WZ9+BKBqR7Rlet7b/Vdp1NOK3UEwjL1oDVXd9fWxHRXobYah/CZcx3/wdt\nL/pj7nXVZ3eck/Fztjlv6kSEzbbWhsi5aibMZaPdTH4ze6sMW2obBZIuOaezfzckMf/IL0LDuf5C\nL4Qr/5sqRMSfuv9jIknJEkwD0sEl36f/VhVlsR1QP3vLJHmcmBrPh5eBACGry+yeSvTFBYcUVSc/\nOcDPoUdT31xtZzIIyPcBIRERkNRDIcrqUmXzWtyS1O5VGA56tAOGkAxFEW6++WZ8+cuPA5Cz4vM4\nVqRG6UC5rUpuxOt9TKYQ721rUwZp33NdI3PO1/xfhqKzcFJ3TUQ3FmVTL8YoO8iP78/vISAi8dJc\njUIxvntLy29VwG5VebN5AkjJqbf+oVtUG0ehy+nHZrIIr43ax1nILbmgF/tsABUAm42t7G+e4/hH\nU05+f/7siWkSiDBGWoTyZD6AYJKlf0Tlen42j7ndE7ZpXbf2rN/bN7SWQ8C97qYmBfWbfvGLXw6+\njvCuc2ciQGvgJIFHiSLXw3UrVDMtZN4GBDuQMJ8AG9I8IQDSsAU1QwCGQPOCymqPMu6BEOQlDO7q\nHgMCkSQMsdzWW4lfo1LsEDt0JcZiGtBXbBy313BZ0WxjWQVi7njmmWew0x3xhVpxP3Li3Jw2W9ME\nxj06Np2SWhpCcKayHyrjeIx9ZWbZhGSG7LSJjUza1UCt2hTFIYqxgwV9ANn7xMfQUUswsS2dbYUA\nUQPcM4NT3bVP40Id3YNGRm6f5WDCPIapv2qEYh4Z0+JrZUTKrtHZe9KR5i5YtbPSz75pexkvHsxs\nady8vkxTCBo2bW18NjNlmxM5SkhNCMsS1yi8GNyWmsY4zbDuA1f67WynUVNCssEbrH3er84g3roJ\nXms5fyaCVFxQ+KkBQHgSVFUFpLvGoLSOzCczVK+McvyuIvXCHNCI3LdU1FFj1hbxEc9DnyFF1JGo\nqbk9KdqbfB5zf6GofE2bYiRBA3JkDanze909lrfIaQ7hQO+cTxHlClb1nNMCK+PA9Zrlox0XEQBJ\nGm4yhbYO/nls8/W66ZKEBs/r2aIxW1DmP2oLKCKLfCcdiYb8c6jZWY2fISnmXlR5Y0AZsecTBWZ9\nt3+3JoGZDbwXeyEBaD2YyThuouLbb2FC8zkzBK/qstHTyCSbHzm/6umrBjAOb37ZWIbP7rLVTqwT\naSyM0RfMPaGdZVkEtY5ni+XxSai0aAqumaAkc4m2VyGUP8/oL5s7rrecOwTLvApD0axX4X9qk10H\n0gp1MyE0MK0aQbUq4oC7NRniKpOWbFQA0LijTxix2YfTtEiyGXJOi4ps5fKaHPQFkfVguu5yVtXn\n6F92WA+1JyeXFmLaS0z8iP4ySiXzdjgw9pOxWUg23rIb3DgsVaNgIImNGfOKf5UB2Tt9DkjrU6f2\ndCx2FNnEsXpN65AFWdH0qIZH2zZrT8dVrm8W98TRPPpe22ZzF+/OvsoxRoY8x7Gy+R8Tw0QicbvP\n6stIVgQs+zgK0TIBO4RgDLNUmBxyNw4xlJoNLTYQBRFWwe/zeoZWY8yL6oOed7exmnwmgjdrf+MJ\nHcZ4keoXEBYmijxxrkUWzc0EE0CTU52fr5w7BEsQ1dPipa3kE0mBdDAhuCCv2JxhEOmZTa26ZNVj\nPbrYWVnqBRrWHNoJlL9awo3E1RSuCyQvHrcF97CrGQrxwhxnO+kpmZZQ3Pogq2VVhKKXmx5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qvZYL7YxrqY60ZDlLNCdufq1/iX7znr/TPEYujJERQlTbAfIKzJe6aLtV8bmp2bXQbEYIfz+fUR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\nfxcuvuhSIA5lw9a6BmkpzgyKXkVTlBdez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xBYlVV0cO8ZXPIeLmbz1C+05v5QQ55lT476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zJW/i7bz9iW/i1utO5T8+dbE5wUaxxVU/wnIjHAo8JdTjLgwgu5PQHYIvNuBa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\nI1kBnA8f5neYo0XxzpTtxx9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G/eH+3w7PEpyCPAzbH4KtPbvNGNZ/BUzeYVuNAErC+atW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MfnhmF4XZK/O47jh83odT+O49fM+f5Okq9O8q+TfMc4jr90vv55ST5tHMff0XnXxGAZCKsDKiPt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\nTsmSOEnWsVFPxzOo6B5/S/qGE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Bb4ZEpJXfwp4FVVVe0L7JtSimXWpAmuJ/1veMr5l3HZ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\nxClBLRNWjrvBKld9NhrKcBxYAncdTfgm9m2fHXdL3fuGUM/o1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48ACrq6s4d+4cHj58iEajkdZl7R0BPBOysTB93djYQL/fx6NHj7CxsZH2E4qi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fAAAg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\nO1/Tz1xHp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+ "text": [ + "" + ] + } + ], + "prompt_number": 49 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Buscando contornos" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Primero vamos a cortar la imagen" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "img1 = img[750:1250,1000:1550].copy()\n", + "plt.imshow(img1)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 60, + "text": [ + "" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": 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Vsw4P7rbIokltYJRsm4VEYnoZd8J/ClEzRJnIPW2RhIh0MZHIbdGi45jft6HI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\nUpai3CftK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er2NxcRGLi4svIJizs7OosknJY5TkEYVQHvLmAF+6lKY0HL4J1jY+YpB67OQ+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\nOJKxSVY/12WppWvms9JZJdY/5ZIFDrvSiZmZeJ62dzbdZLhYREjvZDq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+ "text": [ + "" + ] + } + ], + "prompt_number": 61 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "bajo = 0.1\n", + "alto = 0.8\n", + "oscuro = measure.find_contours(img1, bajo)\n", + "claro = measure.find_contours(img1, alto)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 63 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "plt.imshow(img1, cmap='gray')\n", + "\n", + "for n, contour in enumerate(oscuro):\n", + " plt.plot(contour[:, 1], contour[:, 0], c='r', linewidth=1)\n", + "\n", + "plt.axis('image')\n", + "plt.xticks([])\n", + "plt.yticks([]);" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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0pEGbrjRc+dluaQrBf6lEOAKyKUGOIGiccVTA67tYLFAsFs39kJK/UP1cvGva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\nQUofPxpSuQkuDRXSZGkCXFLzyzI4svDl5StT8iz5d/3OSjZ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+ "text": [ + "" + ] + } + ], + "prompt_number": 64 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "plt.imshow(img1, cmap='gray')\n", + "\n", + "for n, contour in enumerate(claro):\n", + " plt.plot(contour[:, 1], contour[:, 0], c='r', linewidth=1)\n", + "\n", + "plt.axis('image')\n", + "plt.xticks([])\n", + "plt.yticks([]);" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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b38ZynscD3eOBlskglUqhPRiEmkxCbWoyfHpaIfDqpdvFayMtJ7quw+Vywf/K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\n4YbC68X0NW5Tv9ksbNOYmfpIl+dRyTDNbb/rTgTXuBTt1iJ3oY8WlJ6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"markdown", + "metadata": {}, + "source": [ + "# Adquiriendo datos de otros sensores\n", + "En esta seccion continuamos con la adquisicion de datos usando los sensores de nuestros dispositivos moviles y su analisis.\n", + "\n", + "En general, el proceso de analisis de datos puede verse a partir de las siguintes etapas:\n", + "\n", + "* **Crear u obtener un conjunto de datos** para analizar\n", + "* **Acceder a los datos** a partir de archivos (locales o en la nube)\n", + "* **Preparar los datos** para asegurarnos que estan \"limpios\"\n", + "* **Analizar los datos** para extraer informacion relevante\n", + "* **Presentar los datos** en forma visual para comunicar ideas\n", + "* **Distribuir los datos** para garantizar que nuestro trabajo es accesible a una audiencia y que ademas puede reproducirse " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ya hemos hecho un recorrido de cada de una de estas etapas utilizando diferentes alternativas para fuentes de informacion y para su analisis.\n", + "\n", + "En este ejemplo usaremos nuevamente sensores de nuestros dispositivos moviles para crear un conjunto de datos." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Crear un conjunto de datos\n", + "\n", + "Primero hagamos un sencillo experimento. Todos ustedes saben extraer datos de geolocalizacion de sus aparatos? Yo tengo una aplicacion que genera y guarda estos datos en un archivo en formato `.csv`:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Acceder a los datos\n", + "\n", + "Como hemos visto, acceder a los datos usando la libreria `pandas` es muy sencillo:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "file_name = 'SD_0826_105958.csv'\n", + "sensorData = pd.read_csv(file_name)\n", + "sensorData[:10]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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Unnamed: 0TimestampAccel_XAccel_YAccel_ZRollPitchYawGravAcc_XGravAcc_Y...RotRate_ZMagHeadingTrueHeadingHeadingAccuracyLatLongLocAccuracyCourseSpeedAltitude
0 0 4.307616e+08-0.051910 0.786285-0.313187 0.006335-0.014837-0.019716 0.006334 0.014836...-0.000334 111.088959 115.176033 -1 19.519849-96.915459 258.816121-1-1 1353.804199
1 1 4.307616e+08-0.028976 0.998047-0.252487 0.006335-0.014837-0.019716 0.006334 0.014836...-0.000334 111.088959 115.176033 -1 19.519849-96.915459 258.816121-1-1 1353.804199
2 2 4.307616e+08-0.011261 1.001083-0.152466-0.166803-1.193841-0.118009-0.061114 0.929790...-0.268638 111.088959 115.176033 -1 19.519849-96.915459 258.816121-1-1 1353.804199
3 3 4.307616e+08 0.040100 0.971710 0.000824 0.063524-1.406927-0.190039 0.010356 0.986603... 0.537706 111.088959 115.176033 -1 19.519831-96.915487 65.000000-1-1 1351.409180
4 4 4.307616e+08 0.095978 0.952271-0.016037 1.893450-1.474958 1.162597 0.090754 0.995411... 2.264625 111.088959 115.176033 -1 19.519831-96.915487 65.000000-1-1 1351.409180
5 5 4.307616e+08 0.015381 1.132416-0.065994 2.607874-1.307912 1.568741 0.132204 0.965644... 0.860562 111.088959 115.176033 -1 19.519831-96.915487 65.000000-1-1 1351.409180
6 6 4.307616e+08-0.037903 0.928787-0.085403 2.289264-1.392396 1.294575 0.133591 0.984129...-2.463808 40.172638 44.259712 25 19.519831-96.915487 65.000000-1-1 1351.409180
7 7 4.307616e+08 0.063995 1.119492-0.035355-1.121011-1.352172-1.587501-0.195316 0.976197...-3.982871 31.364079 35.451153 25 19.519831-96.915487 65.000000-1-1 1351.409180
8 8 4.307616e+08 0.110016 1.109314-0.019455-1.927649-1.012375-1.658685-0.496468 0.848092...-2.242998 6.661323 10.748396 25 19.519865-96.915468 65.000000-1-1 1351.101074
9 9 4.307616e+08 0.058319 0.877457 0.013763-2.497414-1.097757-1.666350-0.273603 0.890188... 2.355888 308.654297 312.741364 25 19.519865-96.915468 65.000000-1-1 1351.101074
\n", + "

10 rows \u00d7 26 columns

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" + ], + "metadata": {}, + "output_type": "pyout", + "prompt_number": 2, + "text": [ + " Unnamed: 0 Timestamp Accel_X Accel_Y Accel_Z Roll Pitch \\\n", + "0 0 4.307616e+08 -0.051910 0.786285 -0.313187 0.006335 -0.014837 \n", + "1 1 4.307616e+08 -0.028976 0.998047 -0.252487 0.006335 -0.014837 \n", + "2 2 4.307616e+08 -0.011261 1.001083 -0.152466 -0.166803 -1.193841 \n", + "3 3 4.307616e+08 0.040100 0.971710 0.000824 0.063524 -1.406927 \n", + "4 4 4.307616e+08 0.095978 0.952271 -0.016037 1.893450 -1.474958 \n", + "5 5 4.307616e+08 0.015381 1.132416 -0.065994 2.607874 -1.307912 \n", + "6 6 4.307616e+08 -0.037903 0.928787 -0.085403 2.289264 -1.392396 \n", + "7 7 4.307616e+08 0.063995 1.119492 -0.035355 -1.121011 -1.352172 \n", + "8 8 4.307616e+08 0.110016 1.109314 -0.019455 -1.927649 -1.012375 \n", + "9 9 4.307616e+08 0.058319 0.877457 0.013763 -2.497414 -1.097757 \n", + "\n", + " Yaw GravAcc_X GravAcc_Y ... RotRate_Z MagHeading \\\n", + "0 -0.019716 0.006334 0.014836 ... -0.000334 111.088959 \n", + "1 -0.019716 0.006334 0.014836 ... -0.000334 111.088959 \n", + "2 -0.118009 -0.061114 0.929790 ... -0.268638 111.088959 \n", + "3 -0.190039 0.010356 0.986603 ... 0.537706 111.088959 \n", + "4 1.162597 0.090754 0.995411 ... 2.264625 111.088959 \n", + "5 1.568741 0.132204 0.965644 ... 0.860562 111.088959 \n", + "6 1.294575 0.133591 0.984129 ... -2.463808 40.172638 \n", + "7 -1.587501 -0.195316 0.976197 ... -3.982871 31.364079 \n", + "8 -1.658685 -0.496468 0.848092 ... -2.242998 6.661323 \n", + "9 -1.666350 -0.273603 0.890188 ... 2.355888 308.654297 \n", + "\n", + " TrueHeading HeadingAccuracy Lat Long LocAccuracy Course \\\n", + "0 115.176033 -1 19.519849 -96.915459 258.816121 -1 \n", + "1 115.176033 -1 19.519849 -96.915459 258.816121 -1 \n", + "2 115.176033 -1 19.519849 -96.915459 258.816121 -1 \n", + "3 115.176033 -1 19.519831 -96.915487 65.000000 -1 \n", + "4 115.176033 -1 19.519831 -96.915487 65.000000 -1 \n", + "5 115.176033 -1 19.519831 -96.915487 65.000000 -1 \n", + "6 44.259712 25 19.519831 -96.915487 65.000000 -1 \n", + "7 35.451153 25 19.519831 -96.915487 65.000000 -1 \n", + "8 10.748396 25 19.519865 -96.915468 65.000000 -1 \n", + "9 312.741364 25 19.519865 -96.915468 65.000000 -1 \n", + "\n", + " Speed Altitude \n", + "0 -1 1353.804199 \n", + "1 -1 1353.804199 \n", + "2 -1 1353.804199 \n", + "3 -1 1351.409180 \n", + "4 -1 1351.409180 \n", + "5 -1 1351.409180 \n", + "6 -1 1351.409180 \n", + "7 -1 1351.409180 \n", + "8 -1 1351.101074 \n", + "9 -1 1351.101074 \n", + "\n", + "[10 rows x 26 columns]" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Ejercicio: Crear y acceder a un cojunto de datos\n", + "\n", + "## Obtengan sus datos de geolocalizacion\n", + "\n", + "Generen un archivo que contenga datos de geolocalizacion a partir de su dispositivo. Salgan a dar una vuelta al patio de LANIA y tomen datos en distintos lugares de la propiedad. Vuelvan en 5-7 minutos.\n", + "\n", + "## Accedan a los datos\n", + "\n", + "Usando, preferentemente, la libreria pandas, guarden los datos de geolocalizacion que acaban de generar en una estructura de datos." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban su codigo y ejecuten la celda" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 3 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Preparar, analizar y presentar datos\n", + "Los datos recien adquiridos por el sensor no deberian necesitar preparacion (buscar valores no definidos, errores, etc.). Dado que son datos muy triviales no realizaremos ningun analisis sino unicamente los vamos a graficar para presentarlos.\n", + "\n", + "Como las coordenadas geograficas son pares de puntos, podemos graficarlos directamente:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%matplotlib inline\n", + "\n", + "latlon = sensorData[['Lat','Long']]\n", + "latlon.plot(x='Lat', y='Long', kind='scatter')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 4, + "text": [ + "" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": 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+ "text": [ + "" + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "No se ve muy interesante...estos son datos de coordenadas geograficas asi que quizas conviene usar un sistema apropiado...les presento `Basemap` una librearia para analizar datos geograficos. Para instalarla ejecuten el siguiente comando:\n", + " \n", + " conda install basemap\n", + "\n", + "Si todo sale bien durante el proceso de instalacion deben ser capaces de importar la libreria escribiendo el siguiente comando en una celda:\n", + "\n", + " from mpl_toolkits.basemap import Basemap\n", + " " + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from mpl_toolkits.basemap import Basemap\n", + "from datetime import datetime" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 5 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "lats = latlon['Lat']\n", + "lons = latlon['Long']\n", + "\n", + "timeStamp = sensorData['Timestamp']" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 6 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "m = Basemap(projection='hammer',lon_0=-90)\n", + "\n", + "x, y = m(lons.values,lats.values)\n", + "\n", + "m.drawmapboundary(fill_color='#99ffff')\n", + "m.fillcontinents(color='#cc9966',lake_color='#99ffff')\n", + "m.scatter(x,y,24,marker='o',color='k')\n", + "plt.text(x[-1],y[-1],'LANIA',color='b');" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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p2+aVzEozTrlqKHAydOUuQvuMtQhpTNDXnkBYZYjULrjO4HxOZG9/EaqOunGb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\nRK5CYII=\n", + "text": [ + "" + ] + } + ], + "prompt_number": 7 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora se ve un poco mejor! Podemos usar una proyeccion diferente:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "map = Basemap(projection='mill',lon_0=-90)\n", + "# plot coastlines, draw label meridians and parallels.\n", + "map.drawcoastlines()\n", + "map.drawparallels(np.arange(-90,90,30),labels=[1,0,0,0])\n", + "map.drawmeridians(np.arange(map.lonmin,map.lonmax+30,60),labels=[0,0,0,1])\n", + "# fill continents 'coral' (with zorder=0), color wet areas 'aqua'\n", + "map.drawmapboundary(fill_color='#99ffff')\n", + "map.fillcontinents(color='coral',lake_color='#99ffff')\n", + "x, y = map(lons.values,lats.values)\n", + "map.scatter(x,y,24,marker='o', color='b')\n", + "plt.text(x[-1],y[-1],'LANIA',color='b');" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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L3y0kM7+QNh+NJ/7KJQb9upb6Xbqwc/JkLm9UGM9+9W3wSy/i07v32ffxR6THJxITHFLu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I3RKg+5trmRFTJwYRWLfU8OvrDvXG4Rd/+8h+TmHXl+245aGdCgFHLdRjlkjdEiD1kP3MgKGSwp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\nR303J/zdn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+ "text": [ + "" + ] + } + ], + "prompt_number": 8 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos incluir la informacion temporal (obtenida con el sensor):" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "map = Basemap(projection='mill',lon_0=-90)\n", + "# plot coastlines, draw label meridians and parallels.\n", + "map.drawcoastlines()\n", + "map.drawparallels(np.arange(-90,90,30),labels=[1,0,0,0])\n", + "map.drawmeridians(np.arange(map.lonmin,map.lonmax+30,60),labels=[0,0,0,1])\n", + "# fill continents 'coral' (with zorder=0), color wet areas 'aqua'\n", + "map.drawmapboundary(fill_color='#99ffff')\n", + "map.fillcontinents(color='coral',lake_color='#99ffff')\n", + "x, y = map(lons.values,lats.values)\n", + "map.scatter(x,y,24,marker='o', color='b')\n", + "plt.text(x[-1],y[-1],'LANIA',color='b');\n", + "# date = datetime.utcnow()\n", + "date=datetime.utcfromtimestamp(timeStamp.values[-1])\n", + "CS=map.nightshade(date)\n", + "plt.title('Day/Night Map for %s (UTC)' % date.strftime(\"%d %b %Y %H:%M:%S\"));" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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mQvDB+TQuJGXRvkd3OkycRJcxYwno37/WDH3XYoTzU1PJiIykMCGejKTk/38G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\neK5O7zoKZMWmE96qp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zkItL2m/wnHK5ficd5IbdyI48kJjk6tbwkh/J0+u3E4FGOPp/NB\nFXvFi23IxvH6Ng844Nx2ELgP2OrVSneBECLWuUwFbgLexdGGO5xF7gA+6uU024Ef4Kg3wGEcCjNF\nSnnU23XuCiFEdJvbSAhhAK7E8X0Ou7aAV9ujCAbdfvmyl9LZy1iHo6fSBDzs3DYGR4+lGagC0no4\nfh6OV+dml8/KQaj3e0CJs45ngbuAN3Hc6Idw3FBxLuV/g6MjLBtY1Mu5NzrLHXB+1g23NjjLrwa2\nuKzfgcN1EOfttnRx7S3AMRw/jsuc2yKBL3Go5XVAeC/niMXxCnpXp//NZ76uv8v1JuP4QR90/l9+\nMVzb4q324IiyaHb5fRwAfjKY7XCpy6DaL3WknoqKiopCUEfqqaioqCgE1SCrqKioKATVIKuoqKgo\nBNUgq6ioqCgE1SCrqKioKATVIKuoqKgoBNUgq6ioqCgE1SCrqKioKIT/DxHAsRpPu+wjAAAAAElF\nTkSuQmCC\n", + "text": [ + "" + ] + } + ], + "prompt_number": 9 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notan algo extrano en este mapa?" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "time_now = time.time()\n", + "print time_now, datetime.utcfromtimestamp(time_now)\n", + "time_data = datetime.utcfromtimestamp(timeStamp.values[-1])\n", + "print timeStamp.values[-1],time_data" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'time' is not defined", + "output_type": "pyerr", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mtime_now\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;32mprint\u001b[0m \u001b[0mtime_now\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mutcfromtimestamp\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtime_now\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mtime_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mutcfromtimestamp\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtimeStamp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;32mprint\u001b[0m \u001b[0mtimeStamp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mtime_data\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mNameError\u001b[0m: name 'time' is not defined" + ] + } + ], + "prompt_number": 12 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "date_offset = datetime(year=2001, month=1, day=1)\n", + "print date_offset\n", + "timestamp2 = time.mktime(date_offset.timetuple())\n", + "print timestamp2, datetime.fromtimestamp(timestamp2)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "2001-01-01 00:00:00\n" + ] + }, + { + "ename": "NameError", + "evalue": "name 'time' is not defined", + "output_type": "pyerr", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mdate_offset\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0myear\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2001\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmonth\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mday\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mprint\u001b[0m \u001b[0mdate_offset\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mtimestamp2\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmktime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdate_offset\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtimetuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[1;32mprint\u001b[0m \u001b[0mtimestamp2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfromtimestamp\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtimestamp2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mNameError\u001b[0m: name 'time' is not defined" + ] + } + ], + "prompt_number": 13 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "time_real = timeStamp.values[-1] + timestamp2\n", + "print datetime.utcfromtimestamp(time_real)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'timestamp2' is not defined", + "output_type": "pyerr", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mtime_real\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtimeStamp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mtimestamp2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;32mprint\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mutcfromtimestamp\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtime_real\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mNameError\u001b[0m: name 'timestamp2' is not defined" + ] + } + ], + "prompt_number": 14 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ahora copien el codigo de la celda que genero el ultimo mapa en una nueva celda y observen los cambios." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Veamos un poco mas de cerca donde esta LANIA:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "map = Basemap(projection='mill',lon_0=-90, lat_0=0,\n", + " llcrnrlon=-120, llcrnrlat=0.0,\n", + " urcrnrlon=-70, urcrnrlat=30.75)\n", + "# plot coastlines, draw label meridians and parallels.\n", + "map.drawcoastlines()\n", + "map.drawparallels(np.arange(map.latmin,map.latmax,10),labels=[1,1,1,1])\n", + "map.drawmeridians(np.arange(map.lonmin,map.lonmax,20),labels=[0,0,0,1])\n", + "# fill continents 'coral' (with zorder=0), color wet areas 'aqua'a\n", + "map.drawmapboundary(fill_color='#99ffff')\n", + "map.fillcontinents(color='coral',lake_color='#99ffff')\n", + "x, y = map(lons.values,lats.values)\n", + "map.plot(x, y, 'bo', markersize=18)\n", + "plt.text(x[-1],y[-1],'LANIA');" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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ORqYwJ7SAeb7nNBSZoDIKsrOJCw4mLjCQxIvnSbhwnujQKxjpqWjtZE1HawPa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\n", + "text": [ + "" + ] + } + ], + "prompt_number": 10 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Vamos a acercarnos un poco mas..." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "map = Basemap(lon_0=-90,lat_0=-0,\n", + " llcrnrlon=-98, llcrnrlat=18.0,\n", + " urcrnrlon=-96, urcrnrlat=20,\n", + " resolution='l',area_thresh=0.01,projection='merc')\n", + "# plot coastlines, draw label meridians and parallels.\n", + "map.drawcoastlines()\n", + "map.drawstates()\n", + "# map.drawparallels(np.arange(map.latmin,map.latmax,40),labels=[1,1,1,1])\n", + "# map.drawmeridians(np.arange(map.lonmin,map.lonmax,40),labels=[0,0,0,1])\n", + "# fill continents 'coral' (with zorder=0), color wet areas 'aqua'a\n", + "map.drawmapboundary(fill_color='#99ffff')\n", + "map.fillcontinents(color='coral',lake_color='#99ffff')\n", + "x, y = map(lons.values,lats.values)\n", + "map.plot(x, y, 'bo', markersize=18)\n", + "map.bluemarble()\n", + "plt.text(x[-1],y[-1],'LANIA');" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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+ "text": [ + "" + ] + } + ], + "prompt_number": 11 + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia3/notebooks/05_Adquiriendo_Datos_Accel-Copy0.ipynb b/Dia3/notebooks/05_Adquiriendo_Datos_Accel-Copy0.ipynb new file mode 100644 index 0000000..bbb651f --- /dev/null +++ b/Dia3/notebooks/05_Adquiriendo_Datos_Accel-Copy0.ipynb @@ -0,0 +1,348 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:f781f3360e8199c611e5feacb664d4f45a0a032c905f0f7d9af5e638fb497625" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run talktools.py\n", + "%matplotlib inline" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Adquiriendo datos de otros sensores\n", + "En esta seccion continuamos con la adquisicion de datos usando los sensores de nuestros dispositivos moviles y su analisis.\n", + "\n", + "En general, el proceso de analisis de datos puede verse a partir de las siguintes etapas:\n", + "\n", + "* **Crear u obtener un conjunto de datos** para analizar\n", + "* **Acceder a los datos** a partir de archivos (locales o en la nube)\n", + "* **Preparar los datos** para asegurarnos que estan \"limpios\"\n", + "* **Analizar los datos** para extraer informacion relevante\n", + "* **Presentar los datos** en forma visual para comunicar ideas\n", + "* **Distribuir los datos** para garantizar que nuestro trabajo es accesible a una audiencia y que ademas puede reproducirse " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ya hemos hecho un recorrido de cada de una de estas etapas utilizando diferentes alternativas para fuentes de informacion y para su analisis.\n", + "\n", + "En este ejemplo usaremos nuevamente sensores de nuestros dispositivos moviles para crear un conjunto de datos." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Crear un conjunto de datos\n", + "\n", + "Los datos que utilizamos en la seccion anterior continenen informacion del acelerometro del dispositivo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Acceder a los datos\n", + "\n", + "Vuelvan a leer los datos del ejercicio anterior usando y guardenlos en una estructura de datos:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Ejercicio: Crear y acceder a un cojunto de datos\n", + "\n", + "## Obtengan sus datos del sensor de aceleracion\n", + "\n", + "Generen un archivo que contenga datos de geolocalizacion a partir de su dispositivo.\n", + "\n", + "## Accedan a los datos\n", + "\n", + "Usando, preferentemente, la libreria pandas, guarden los datos de geolocalizacion que acaban de generar en una estructura de datos." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "ls *.csv" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "SD_0826_105958.csv \u001b[0m\u001b[01;32mSensor_record_20141024_124129_AndroSensor.csv\u001b[0m*\r\n" + ] + } + ], + "prompt_number": 135 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten su codigo en esta celda\n", + "file_name = 'Sensor_record_20141024_124129_AndroSensor.csv'\n", + "\n", + "sensorData = pd.read_csv(file_name, sep=';', header=1)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 136 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Preparar, analizar y presentar datos\n", + "Los datos recien adquiridos por el sensor no deberian necesitar preparacion (buscar valores no definidos, errores, etc.). Dado que son datos muy triviales no realizaremos ningun analisis sino unicamente los vamos a graficar para presentarlos.\n", + "\n", + "Como las coordenadas geograficas son pares de puntos, podemos graficarlos directamente:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "acel = sensorData.iloc[:,0:3]" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 137 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "acel.plot(title='Aceleracion al caminar')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 139, + "text": [ + "" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": 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n77trF52DpUtT75OrQk+0XKqrgZ41jcC/H6dWnLGYCl+7Nn406+OP02/Z1gYU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+ "text": [ + "" + ] + } + ], + "prompt_number": 139 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Vamos a convertir las coordenadas del vector aceleracion en cada instante de tiempo registrado a un valor escalar (un solo numero) calculando lo que se llama la magnitud del vector aceleracion:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "mag_acel = acel.values.sum(axis=1)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 140 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "plt.plot(mag_acel, 'b-')\n", + "plt.xlabel('Tiempo (s)')\n", + "plt.ylabel('Aceleracion m/s^2');" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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//WInW2pV2wkT4jE9lTA23zxaEQr1E5bqw1DCSL+W1KYi14sys4eAMQXuutDd\n70n5vgAFT5EzY8aM969PmNDMhg3N79/OnZ6f/FOThDF8eNyfa/ny9jvsiRPj/NuHHhpHRg8/HNuT\nVWfXrSv9oZgyJY6i0izHsOuu2fdMJIvEqcKQ/mLcuDiqT4afQySQUaPi4KvUOUGS70ZPJQyzbLNU\nfmWTOw8jSRjJCZi+9a3YnyQKJYxaG1bb0tJCS/56Rd2QJmHcADxhZncCBhwHXF/uSe5epvW+oMVA\n7mLV4zLbOshNGC+9FCtzJnITxrBh2bODJRVG/tjp9es7rv9y1FHR+T1uXPvt22/fcf2YfFOmxM9y\n/RcQ1cigQe0T1rBhcb6E/MQm0pflJovEsccWPnNdriRhFJsA2xVJs1SxhJHbh5FUGPnv3xeG1TY3\nN9Pc3Pz+7UsuuaRbr1c2Ybj7VWb2GHAAcbR/irvP6ta7tpc7IO5u4BYzu4poipoEPFnuBYp1ekO2\ntITifRgbNhRuOspPFhAJo1wn3x57xGSiJHGUMnRoLC+S38T1jW9kJyyJ9FfnnFP6hEYQO/Vttml/\nqtXuKtbxnYySGpTZM65aVXy58npcGqRowjCzRnd/18xGAq8Ar2bucjMb6e5vFXtuOWZ2PNEHMgr4\nPzOb5e5HuPtcM7sdmAu0Ame6lz9rc7mEkRypb9hQuA9j48byfQ2J7bfvuAZ+vtGjYxhgWoWGJe6y\nS1xE+rNttmnff1jIVltlF+fsKZMnx6KJJ5zQfnvuDn/o0GhNKLb6bGNjJJRNm7JNanWbMIBbgb8B\nnqZwP0KXC0R3/yXwyyL3XQpc2pnX60yFUWjiXmfOmTxpUrrVN0Wk5/T0SYlOOCFOP/vtb7dPRLk7\n/IaGGDBT7L2T5UJWrco2t9VtwnD3v8n8nFCxaLqou01SnakwzjhDCUOkr/vQh2KfMXt2TMpN5FcY\n77xTOlkl/RiNjTEEv1B/aH+SZh7G8WY2Iuf2CDNLcebnyik2DwPin5cmYaStMAYN6t+nYBSpB2Zx\nPo3bb89ua22NS7L2W3Je7zQJA7L9H/35dMhplgaZ4e4rkxuZ6zN6LaIuGDw4dvpJb0cyDwOyFUZb\nW9xuaEjf6S0i/ddnPgO33Zbdbzz/fIxWTHb4nU0YtTZCqjekSRiF8mVNraFqFkf+ra3RAbVhQ/af\nnCSMpNkpvxqBzjVJiUj/sHdmFbvktMj33ReneU00NMQQ/FJNTLkJo9bmYPSGNAljppldZWY7mtlO\nZnY1MLOMnvW2AAASbUlEQVTssyosSQTJSdhzjxLWrs0mhaQaydWZTm8R6R/MouP7Zz+L2/ff3z5h\nDB0a1UdnKgwlDDiLONvebcDPgXXAV3ozqK5IEkb+SdjzK4xCCUMVhkh9OvVUuPXWmJMxaxbkzHFr\n10pRTL0ljDQT91YB51Uglm5JEsbGjcUTxpAhxROGKgyR+rPddrFm25lnxmTb/H1H7s9ClDDymNnW\nwDeJJceTP6e7+8G9GVhn5TZJ5f7Tk1FSpfow1OktUr9OPx1OPLHj2m+5o6WKyZ3tXQ8JI02T1M3A\nPGAHYnTUq8BTvRdS16hJSkS64thjYxmfv/mb9tuTRJG207seRkmlWXxwS3f/qZmd7e6PAY+ZWb9K\nGOr0FqlfDQ2xAGL+/IkkYSSVRiFNTdnFTOuhwkiTMJIGnDfM7ChgCbBFicdXRW7CSCbtQbpRUqow\nROpbocl2Q4fGfqXU0uv1Nqw2TcL4Tmam97nAD4BG4B97NaouSBJG7qQ9SN8kpQpDRHINHVp+VQd1\neucws4HAZHe/F1gJNFciqK5I2ySlTm8RSaOhofMJI/cES/1RyU5vd28DPlehWLqlWMJIRkklSUFN\nUiKShiqMjtI0Sf3ezH5ITNxbTSwV4u7+dK9G1knq9BaRnjR0aPmVZ5UwOppGnA/jX/K2f6znw+m6\nUgmjVKe3e6xBpQpDRHKlrTBWrYp9iobVAu7eXIE4ui1thTFwYCSJtra43toaCxf25yWJRaTz0vRh\nDBoUs8Vffrk+Kow058MYY2bXmdkDmdtTzez03g+tc9ImDLP2VYY6vEWkkDQVBsDUqTB3bn0Mq00z\n0/tnwIPAtpnbL1LDw2rLJQxonzDU4S0ihaRNGLvsEhP/VGGEUe5+G9AG4O4bgZo7SWmxiXv5a0lB\nxwpDHd4ikm/LLWHUqPKPSyoMJYywysy2TG6Y2YeBd3ovpK5JEsYLL8D48dntqjBEpCsOPRRuvLH8\n4+opYaQZJXUucA+wg5n9EdgK+FSvRtUFQ4bA4sXw5JPwq19lt+ePkkoem0ze0yxvESnELAbGlLPz\nzjB/fuxrNErKfaaZHQRMyWyan2mWqilDhsT5eQ8/vH2TVEND+4l7oE5vEek5H/hANF29/nodVxhm\ndgIx/8JyfgJMNjPc/c4KxJfakCGwcCFccUX77QMHRkJYvVpNUiLSO6ZOhUWL0nWS92WlKoyjiURR\nTM0ljM02gyOP7HjfsGHw3nvZpqf8hKEmKRHpjqlT4Q9/6P/zuYomDHc/pYJxdNuwYXDUUe2boxJD\nh0bCKNSHoSYpEemuXXbp/81R0I8m7n3xi3DNNYXvy08YqjBEpCdNnaqEkfgZfWDiXmNjjJsuZOjQ\nOCuWOr1FpDfsu2+6Ibh9XVUm7pnZd83sBTN71szuNLOmnPsuMLMXzWyemR3WnfdJlEoY6vQWke4a\nNAgOOKDaUfS+ak3cexDY1d33BBYAF2ReeypwIjAVOBy4xszSxFiSmqRERLovzc44f+LeTcDZ3XlT\nd3/I3Tdlbj4BjMtcPxa41d03uvurwEvA9O68F2RHSanTW0Sk6zo7cc+AeT08ce804NbM9W2Bx3Pu\nWwSM7e4bqMIQEem+sgnDzL4K3Ozuz2Vub2Fmn3P3ImOS3n/eQ8CYAndd6O73ZB5zEbDB3W8p8VIF\n54LMmDHj/evNzc00NzcXfYFSCUMVhoj0Vy0tLbS0tPTY66VZS+qL7v7D5Ia7v21mZwAlE4a7H1rq\nfjM7BTgS+HjO5sVAztKBjMts6yA3YZRTrsJQwhCR/ij/YPqSSy7p1uul6cMYkNvxbGYDgW7tYs3s\ncOAbwLHuvi7nrruBz5rZEDObCEwCnuzOe0EkjPXrtfigiEh3pKkwfg383Mz+i+jD+AfggW6+7w+A\nIcBDFnPp/+TuZ7r7XDO7HZhLDN09091LLU+SSrK+i5qkRES6Lk3COA84A/hy5vZDwE+786buPqnE\nfZcCl3bn9fMlZ+BTp7eISNeVbZJy9zZ3v9bdP+XunyKO/v+j90PrOaowRES6L02FgZntDXwO+DTw\nKvC/vRhTjyuVMNTpLSKSTqnzYUwhksSJwJvAL4AB7t5cmdB6Tn7CUKe3iEjnlWqSegHYG/iEux/o\n7j8gs55UX6MmKRGR7iuVMD4JrAV+a2Y/MrOPkz3rXp+SdHrrBEoiIl1XNGG4+13ufiKwG/A7Yknz\nrczs2p5aRbZSVGGIiHRfmlFSq9z9Znc/ipiFPQs4v9cj60Hl+jCUMEREyuvU0uHu/pa7/9jdD+6t\ngHpDuVFSapISESmv2+ea6AvUJCUi0n11nzBUYYiIpFMXCaPU0iCqMERE0qmLhKFObxGR7qvLhKEm\nKRGRzqvLhKFzeouIdF5dJozNN4dVq+K6KgwRkXTqMmE0NsK778Z1VRgiIunURcLYbDOYPh0ssxJW\nUxO8805cV6e3iEg6dZEwBg6EJ57I3s6tMNQkJSKSTl0kjHyNjVFhuKtJSkQkrbpMGA0NUXWsW6cK\nQ0QkrbpMGJDtx1CFISKSTt0mjKQfQ53eIiLp1G3CSCoMNUmJiKRTtwkjqTDUJCUikk5dJwxVGCIi\n6dVtwmhqUh+GiEhn1G3CaGyEt9+OuRgDB1Y7GhGR2le3CaOpCVasUHOUiEhaVUkYZvZtM3vWzJ4x\ns4fNbHzOfReY2YtmNs/MDuutGBobI2GoOUpEJJ1qVRhXuvue7r4XcBdwMYCZTQVOBKYChwPXmFmv\nxNjUBH/9qyoMEZG0qpIw3P29nJubAysy148FbnX3je7+KvASML03YlCFISLSOYOq9cZm9q/A54G1\nZJPCtsDjOQ9bBIztjfdP+jCUMERE0um1CsPMHjKzOQUuRwO4+0Xuvh1wA/D9Ei/lvRFfUmGoSUpE\nJJ1eqzDc/dCUD70FuC9zfTEwPue+cZltHcyYMeP9683NzTQ3N3cqvsbG6MMYMaJTTxMR6TNaWlpo\naWnpsdcz9145gC/9pmaT3P3FzPWzgOnu/vlMp/ctRBPVWOA3wE6eF6SZ5W/qtNdegwkTYPfdYfbs\nbr2UiEifYGa4u3X1+dXqw7jMzKYAbcDLwJcB3H2umd0OzAVagTO7nRmKaGyMn+rDEBFJpyoVRnf1\nRIXR1gaDBsG++8Ljj5d/vIhIX9fdCqNuZ3oPHAjDh6vTW0QkrbpNGBBDa9UkJSKSTl0njMZGVRgi\nImnVfcJQhSEikk5dJww1SYmIpFe1pUFqgSoMEZH0VGEoYYiIpFLXCUOd3iIi6dV1wlCFISKSXl33\nYYweDevWVTsKEZG+oW6XBoFYHmTTJlUZIlIf+urigzVh4MC4iIhIeXXdhyEiIukpYYiISCpKGCIi\nkooShoiIpKKEISIiqShhiIhIKkoYIiKSihKGiIikooQhIiKpKGGIiEgqShgiIpKKEoaIiKSihCEi\nIqkoYYiISCpKGCIikooShoiIpFLVhGFm55rZJjMbmbPtAjN70czmmdlh1YxPRESyqpYwzGw8cCjw\nWs62qcCJwFTgcOAaM+szVVBLS0u1Q+hAMaWjmNKrxbgUU2VUc2d8FfDNvG3HAre6+0Z3fxV4CZhe\n6cC6qhY/IIopHcWUXi3GpZg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+ "text": [ + "" + ] + } + ], + "prompt_number": 142 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Vamos a eliminar los efectos de la gravedad restando el promedio:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "mag_acel_nomean = mag_acel - mag_acel.mean()" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 143 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "plt.plot(mag_acel_nomean, 'b-')\n", + "plt.xlabel('Tiempo (s)')\n", + "plt.ylabel('Aceleracion m/s^2');" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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+ "text": [ + "" + ] + } + ], + "prompt_number": 144 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "De este modo los datos estan centrados alrededor del cero y podemos ver claramente que existen picos en la magnitud de la aceleracion. Cada pico corresponde a un paso. \n", + "\n", + "Incluso podemos ver que hay algunas ligeras correlaciones entre picos y valles bajando (rojo) y subiendo (azul)." + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia3/notebooks/05_Adquiriendo_Datos_Accel.ipynb b/Dia3/notebooks/05_Adquiriendo_Datos_Accel.ipynb new file mode 100644 index 0000000..0eb5084 --- /dev/null +++ b/Dia3/notebooks/05_Adquiriendo_Datos_Accel.ipynb @@ -0,0 +1,604 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:3ac5ce3118059c05a1fb4ce82f645d2c1f2aadcdaf4358e6527adde19a71e72a" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run talktools.py\n", + "%matplotlib inline" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 7 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Adquiriendo datos de otros sensores\n", + "En esta seccion continuamos con la adquisicion de datos usando los sensores de nuestros dispositivos moviles y su analisis.\n", + "\n", + "En general, el proceso de analisis de datos puede verse a partir de las siguintes etapas:\n", + "\n", + "* **Crear u obtener un conjunto de datos** para analizar\n", + "* **Acceder a los datos** a partir de archivos (locales o en la nube)\n", + "* **Preparar los datos** para asegurarnos que estan \"limpios\"\n", + "* **Analizar los datos** para extraer informacion relevante\n", + "* **Presentar los datos** en forma visual para comunicar ideas\n", + "* **Distribuir los datos** para garantizar que nuestro trabajo es accesible a una audiencia y que ademas puede reproducirse " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ya hemos hecho un recorrido de cada de una de estas etapas utilizando diferentes alternativas para fuentes de informacion y para su analisis.\n", + "\n", + "En este ejemplo usaremos nuevamente sensores de nuestros dispositivos moviles para crear un conjunto de datos." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Crear un conjunto de datos\n", + "\n", + "Los datos que utilizamos en la seccion anterior continenen informacion del acelerometro del dispositivo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Acceder a los datos\n", + "\n", + "Vuelvan a leer los datos del ejercicio anterior usando y guardenlos en una estructura de datos:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Ejercicio: Crear y acceder a un cojunto de datos\n", + "\n", + "## Obtengan sus datos del sensor de aceleracion\n", + "\n", + "Generen un archivo que contenga datos de geolocalizacion a partir de su dispositivo.\n", + "\n", + "## Accedan a los datos\n", + "\n", + "Usando, preferentemente, la libreria pandas, guarden los datos de geolocalizacion que acaban de generar en una estructura de datos." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# Escriban y ejecuten su codigo en esta celda\n", + "file_name = 'SD_0826_105958.csv'\n", + "\n", + "sensorData = pd.read_csv(file_name)\n", + "sensorData[:10]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "
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Unnamed: 0TimestampAccel_XAccel_YAccel_ZRollPitchYawGravAcc_XGravAcc_Y...RotRate_ZMagHeadingTrueHeadingHeadingAccuracyLatLongLocAccuracyCourseSpeedAltitude
0 0 4.307616e+08-0.051910 0.786285-0.313187 0.006335-0.014837-0.019716 0.006334 0.014836...-0.000334 111.088959 115.176033 -1 19.519849-96.915459 258.816121-1-1 1353.804199
1 1 4.307616e+08-0.028976 0.998047-0.252487 0.006335-0.014837-0.019716 0.006334 0.014836...-0.000334 111.088959 115.176033 -1 19.519849-96.915459 258.816121-1-1 1353.804199
2 2 4.307616e+08-0.011261 1.001083-0.152466-0.166803-1.193841-0.118009-0.061114 0.929790...-0.268638 111.088959 115.176033 -1 19.519849-96.915459 258.816121-1-1 1353.804199
3 3 4.307616e+08 0.040100 0.971710 0.000824 0.063524-1.406927-0.190039 0.010356 0.986603... 0.537706 111.088959 115.176033 -1 19.519831-96.915487 65.000000-1-1 1351.409180
4 4 4.307616e+08 0.095978 0.952271-0.016037 1.893450-1.474958 1.162597 0.090754 0.995411... 2.264625 111.088959 115.176033 -1 19.519831-96.915487 65.000000-1-1 1351.409180
5 5 4.307616e+08 0.015381 1.132416-0.065994 2.607874-1.307912 1.568741 0.132204 0.965644... 0.860562 111.088959 115.176033 -1 19.519831-96.915487 65.000000-1-1 1351.409180
6 6 4.307616e+08-0.037903 0.928787-0.085403 2.289264-1.392396 1.294575 0.133591 0.984129...-2.463808 40.172638 44.259712 25 19.519831-96.915487 65.000000-1-1 1351.409180
7 7 4.307616e+08 0.063995 1.119492-0.035355-1.121011-1.352172-1.587501-0.195316 0.976197...-3.982871 31.364079 35.451153 25 19.519831-96.915487 65.000000-1-1 1351.409180
8 8 4.307616e+08 0.110016 1.109314-0.019455-1.927649-1.012375-1.658685-0.496468 0.848092...-2.242998 6.661323 10.748396 25 19.519865-96.915468 65.000000-1-1 1351.101074
9 9 4.307616e+08 0.058319 0.877457 0.013763-2.497414-1.097757-1.666350-0.273603 0.890188... 2.355888 308.654297 312.741364 25 19.519865-96.915468 65.000000-1-1 1351.101074
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10 rows \u00d7 26 columns

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RotRate_Z MagHeading \\\n", + "0 -0.019716 0.006334 0.014836 ... -0.000334 111.088959 \n", + "1 -0.019716 0.006334 0.014836 ... -0.000334 111.088959 \n", + "2 -0.118009 -0.061114 0.929790 ... -0.268638 111.088959 \n", + "3 -0.190039 0.010356 0.986603 ... 0.537706 111.088959 \n", + "4 1.162597 0.090754 0.995411 ... 2.264625 111.088959 \n", + "5 1.568741 0.132204 0.965644 ... 0.860562 111.088959 \n", + "6 1.294575 0.133591 0.984129 ... -2.463808 40.172638 \n", + "7 -1.587501 -0.195316 0.976197 ... -3.982871 31.364079 \n", + "8 -1.658685 -0.496468 0.848092 ... -2.242998 6.661323 \n", + "9 -1.666350 -0.273603 0.890188 ... 2.355888 308.654297 \n", + "\n", + " TrueHeading HeadingAccuracy Lat Long LocAccuracy Course \\\n", + "0 115.176033 -1 19.519849 -96.915459 258.816121 -1 \n", + "1 115.176033 -1 19.519849 -96.915459 258.816121 -1 \n", + "2 115.176033 -1 19.519849 -96.915459 258.816121 -1 \n", + "3 115.176033 -1 19.519831 -96.915487 65.000000 -1 \n", + "4 115.176033 -1 19.519831 -96.915487 65.000000 -1 \n", + "5 115.176033 -1 19.519831 -96.915487 65.000000 -1 \n", + "6 44.259712 25 19.519831 -96.915487 65.000000 -1 \n", + "7 35.451153 25 19.519831 -96.915487 65.000000 -1 \n", + "8 10.748396 25 19.519865 -96.915468 65.000000 -1 \n", + "9 312.741364 25 19.519865 -96.915468 65.000000 -1 \n", + "\n", + " Speed Altitude \n", + "0 -1 1353.804199 \n", + "1 -1 1353.804199 \n", + "2 -1 1353.804199 \n", + "3 -1 1351.409180 \n", + "4 -1 1351.409180 \n", + "5 -1 1351.409180 \n", + "6 -1 1351.409180 \n", + "7 -1 1351.409180 \n", + "8 -1 1351.101074 \n", + "9 -1 1351.101074 \n", + "\n", + "[10 rows x 26 columns]" + ] + } + ], + "prompt_number": 16 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Preparar, analizar y presentar datos\n", + "Los datos recien adquiridos por el sensor no deberian necesitar preparacion (buscar valores no definidos, errores, etc.). Dado que son datos muy triviales no realizaremos ningun analisis sino unicamente los vamos a graficar para presentarlos.\n", + "\n", + "Como las coordenadas geograficas son pares de puntos, podemos graficarlos directamente:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "datos_acel = sensorData[['Accel_X','Accel_Y','Accel_Z']]" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 5 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "datos_acel.plot()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 18, + "text": [ + "" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": 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7Ln4+/TN+L/wdT2Q8gVOVpxTvt+bIGlw37DrMTJqJ7YXbe3TuDn0HiuqKcO3Qa3Gk/IjN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\nY9q1a8fevXsByM3N5aGHHiI8PJyWLVvyz3/+02V7pk6dysm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+ "text": [ + "" + ] + } + ], + "prompt_number": 18 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Bien, tenemos los datos de aceleracion de nuestro dispositivo, pero que podemos hacer con ellos?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "La respuesta a esta pregunta depende de muchos factores. Principalmente depende de la pregunta para que tome esos datos?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En este caso solamente fue un experimento, pero hagamos algo mas util. Por ejemplo vamos a contar escalones usando los datos de aceleracion del dispositivo.\n", + "\n", + "Para eso sera necesario que salgan a la escalera y bajen contando el numero de escalones al mismo tiempo que registran sus datos de aceleracion; repitan el proceso subiendo los escalones." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/Dia3/talktools.py b/Dia3/talktools.py new file mode 100644 index 0000000..5502160 --- /dev/null +++ b/Dia3/talktools.py @@ -0,0 +1,91 @@ +""" + Simple tools to style an IPython Notebook. + Author: htapia@lania.edu.mx (modified from Fernando Perez ) +""" + +#----------------------------------------------------------------------------- +# Imports +#----------------------------------------------------------------------------- + +# stdlib +import os + +# Third party +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +# %matplotlib inline + +# From IPython +from IPython.display import (HTML, Image, display, YouTubeVideo, Math, + Audio, clear_output, FileLinks) + +from IPython.core.pylabtools import figsize + +#----------------------------------------------------------------------------- +# Functions and classes +#----------------------------------------------------------------------------- + +def prefix(url): + prefix = '' if url.startswith('http') else 'http://' + return prefix + url + + +def simple_link(url, name=None): + name = url if name is None else name + url = prefix(url) + return '%s' % (url, name) + + +def html_link(url, name=None): + return HTML(simple_link(url, name)) + + +# Utility functions +def website(url, name='auto', width=800, height=450): + html = [] + name = url if name == 'auto' else name + if name: + html.extend(['
', + simple_link(url, name), + '
'] ) + + html.append('' % + (prefix(url), width, height)) + return HTML('\n'.join(html)) + + +def nbviewer(url, name=None, width=800, height=450): + return website('nbviewer.ipython.org/url/' + url, name, width, height) + + +def Video(fname): + from IPython.display import HTML, display + video = open(fname, "rb").read() + video_encoded = video.encode("base64") + video_tag = ''''''.format(video_encoded) + return HTML(data=video_tag) + + +def plot_audio(fname): + from scipy.io import wavfile + rate, x = wavfile.read(fname) + fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 4)) + ax1.plot(x); ax1.set_title('Raw audio signal') + ax2.specgram(x); ax2.set_title('Spectrogram'); + plt.show() + +#loads a customer marplotlib configuration file +def CustomPlot(): + import json + import matplotlib + from IPython.core.pylabtools import figsize + s = json.load( open("../../styles/matplotlibrc.json") ) + matplotlib.rcParams.update(s) + figsize(18, 6) +#----------------------------------------------------------------------------- +# Load and publish CSS +#----------------------------------------------------------------------------- +if __name__ == '__main__': + display(HTML(open("../../styles/matstyle.css", "r").read())) diff --git a/Index.ipynb b/Index.ipynb new file mode 100644 index 0000000..74aa7ba --- /dev/null +++ b/Index.ipynb @@ -0,0 +1,261 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:80ee729bfd77bd7fd5edc331467f703631828a7d27ed0d93b6dcbe4dea89a418" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%run talktools.py" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "" + ], + "metadata": {}, + "output_type": "display_data", + "text": [ + "" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![http://laniamx.files.wordpress.com/2013/07/cropped-logo.jpg](http://laniamx.files.wordpress.com/2013/07/cropped-logo.jpg)\n", + "\n", + "![http://ipython.org/_static/IPy_header.png](http://ipython.org/_static/IPy_header.png) \n", + "\n", + "Introduccion\n", + "------------\n", + "Bienvenidos al curso de Temas Avanzados en Ciencias de la Computaci\u00f3n de la Mestria en Redes y Sistemas, RySi del Laboratorio Nacional de Informatica Avanzada, LANIA.\n", + "\n", + "[IPython](http://ipython.org/) es un ecosistema basado en el lenguaje de programacion Python, que proporciona un serie de herramientas para desarrollar aplicaciones de manera interactiva y reproducible. En este cursodesarrollaremos competencias en el uso de este sistema para acceder y analizar datos provenientes de diversas fuentes, con enfasis a conjuntos de datos obtenidos por medio de los sensores que se encuentran en algunos dispositivos m\u00f3viles (_aka smartphones_), incluyendo imagenes, datos de movimiento, etc.\n", + "\n", + "El repositorio\n", + "---------------\n", + "El contenido del curso se ofrece en el formato de IPython Notebooks y se encuentra completamente contenido en este repositorio de `GitHub`. Para ver el contenido pueden seguir los enlaces que se localizan en la parte superior de esta pagina. Tambien pueden descargarlos directamente a su computadora.\n", + "\n", + "El curso\n", + "--------\n", + "El curso consiste en 24 horas de tutoriales y practicas usando el lenguaje de programacion Python, con el objetivo final de crear una aplicacion sencilla que puede, al menos en principis, implementarse en un dispositivo Android.\n", + "\n", + "Las 24 horas se cubriran a lo largo de 3 dias, 8 horas cada uno, tentativamente en dos sesiones de aproximadamente 4 hrs. cada una. Las fechas y agenda (tentativas) son:\n", + "\n", + "| Fecha | Dia/Sesion | Tema | Enlace |\n", + "|:--------:|----:|----:|----:|\n", + "|11/01/2014 | 1/1 |Presentacion y preliminares| [Contenido](Dia1/Index.ipynb)|\n", + "|11/01/2014 | 1/2 |Instalacion y Configuracion|\n", + "|11/01/2014 | 1/3 |Introduccion al lenguaje Python |\n", + "|11/01/2014 | 1/4 |IPython Notebooks |\n", + "|11/01/2014 | 1/5 |Control de Revision |\n", + "||\n", + "|11/08/2014 | 2/1 |Esenciales de (I)Python | [Contenido](Dia2/Index.ipynb)|\n", + "|11/08/2014 | 2/2 |Procesamiento y Analisis de Datos 1 |\n", + "|11/08/2014 | 2/3 |Procesamiento y Analisis de Datos 2 |\n", + "||\n", + "|11/15/2014 | 3/1 |Generando datos usando sensores moviles| [Contenido](Dia3/Index.ipynb)|\n", + "|11/15/2014 | 3/2 |Distribuyendo datos en la nube |\n", + "|11/15/2014 | 3/3 |Accesando datos de la nube |\n", + "|11/15/2014 | 3/4 |Procesamiento y Analisis de Datos 3|\n", + "|11/15/2014 | 3/5 |Controlando dispositivo desde Python 1|\n", + "|11/15/2014 | 3/6 |Controlando dispositivo desde Python 2|\n", + "||\n", + "|11/22/2014 | 4/1 |Entrega de Proyecto Final|\n", + "\n", + "Evaluacion\n", + "==========\n", + "El curso sera evaluado considerando los siguientes criterios:\n", + "\n", + "1. Asistencia\n", + "2. Participacion\n", + "3. Ejercicios\n", + "4. Proyecto final\n", + "\n", + "## Asistencia y Participacion\n", + "Es obligatorio estar presente durante 24 horas y participar en las actividades que se van a llevar a cabo durante ellas.\n", + "\n", + "## Ejercicios\n", + "La realizacion de los ejercicios es tambien considerada parte de la participacion ya que por la naturaleza del contenido del curso, este es altamente interactivo. Cada tema se presenta por medio de libretas interactivas donde se escribe y ejecuta codigo para presentar conceptos y resolver problemas. \n", + "\n", + "Deberan repetir cada uno de los comandos, instrucciones, etc. que contienen las libretas, y deberan tambien incluir su codigo en las partes indicadas y completar las partes que se piden.\n", + "\n", + "Al terminar cada libreta, deberan guardar los cambios de su documento y entregarmela a traves de los canales que para este fin seran establecidos. De este modo yo podre monitorear su participacion y evaluar su trabajo, pero mas importante, ustedes podran adquirir las competencias que se desean transmitir.\n", + "\n", + "## El proyecto final\n", + "La ultima parte de su evaluacion consistira en un peque\u00f1o proyecto final que desarrolle sobre los conceptos que aprenderan durante el curso.\n", + "\n", + "La meta central sera desarrollar un programa que pueda ejecutarse en un dispositivo movil _Android_ usando S4LA y Python, y que realice algun proceso de adquisicion y procesamiento de datos usando los sensores disponibles en su dispositivo.\n", + "\n", + "El proyecto final puede desarrollarse de manera individual o por pares. Solo en casos excepcionales se aceptaran equipos de 3 personas.\n", + "\n", + "El tema del proyecto final es libre; se sugiere que sea ligado a sus intereses profesionales y/o personales.\n", + "\n", + "El proyecto debera entregarse en forma digital a mas tardar el dia 11/22/2014 a las 17:00 hrs. La entrega del proyecto debe consistir de:\n", + "\n", + "1. Un documento (digital) breve describiendo el proyecto, incluyendo introduccion al problema que se desea abordar, metodologia e implementacion y resultados obtenidos.\n", + "\n", + "2. Uno o varios programas que puedan ejecutarse en el dispositivo movil y que reproduzcan los resultados obtenidos descritos en el documento que acompa\u00f1a la entrega.\n", + "\n", + "La entrega se hara a traves de los canales que para este fin seran establecidos.\n", + "\n", + "En caso de que cualquiera de estos requisitos **no** se cumpla, se considerara como **Nula** la entrega del proyecto, perjudicando la evaluacion hasta en un 45%." + ] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/README.md b/README.md index eb968bb..9c8036e 100644 --- a/README.md +++ b/README.md @@ -1,135 +1,100 @@ -![http://ipython.org/_static/IPy_header.png](http://ipython.org/_static/IPy_header.png) +![http://laniamx.files.wordpress.com/2013/07/cropped-logo.jpg](http://laniamx.files.wordpress.com/2013/07/cropped-logo.jpg) -[IPython](http://ipython.org/) in action creating reproducible and publishable interactive work. +![http://ipython.org/_static/IPy_header.png](http://ipython.org/_static/IPy_header.png) -What is this? ------- +Introduccion +------------ -This `repo` contains the complete [talk](http://za.pycon.org/talks/10/) I intend to deliver (have delivered) at [PyConZA2013](http://za.pycon.org/). It contains all the files needed to build a final publishable PDF document from an interactive notebook and even adds a custom front page. +Bienvenidos al curso de Temas Avanzados en Ciencias de la Computación de la Mestria en Redes y Sistemas, RySi del Laboratorio Nacional de Informatica Avanzada, LANIA. -[The Complete Talk GitHub Website can be accessed here][6] +En este curso desarrollaremos competencias en el uso del ecosistema de programacion de IPython Notebooks para acceder, interactuar y analizar datos provenientes de diversas fuentes, con enfasis a conjuntos de datos obtenidos por medio de los sensores que se encuentran en algunos dispositivos móviles modernos (aka smartphones), incluyendo imagenes, datos de movimiento, etc. -Background -------------- -IPython had become a popular choice for doing interactive scientific work. It extends the standard Python interpreter and adds many useful new futures. There is really no need to use the standard Python interpreter anymore. -In addition to this IPython offers a web based Notebook that makes interactive work much easier, and have been used to write repeatable scientific papers and more recently a book has been written using this platform, the online Notebook Viewer and GitHub. The development of this material and tool chain to compile the notebook to a publishable PDF, has inspired me to maybe even try and turn this into a complete (free) book. Let’s see what happens. +IPython es un ecosistema basado en el lenguaje de programacion Python, que proporciona un serie de herramientas para desarrollar aplicaciones de manera interactiva y reproducible. El lenguaje de programacion es interpretado simple, conciso, orientado a objetos e interactivo, ademas de ser codigo abierto. Por otro lado, existen muchas librearias que lo vuelven un ambiente idoneo para el desarrollo y despliegue de aplicaciones complejas. -Combining the most common scientific packages with IPython makes it a formidable tool and serious competition to R. ( _R is still awesome!_ ) +El Scripting Layer for Android, SL4A, es un aplicacion de codigo abierto que permite ejecutar programas desarrollados en lenguajes interpretados sobre el SO de Android, y proporciona una API de alto nivel que permite a los programas interactuar con el dispositivo Android facilitando el acceso a los datos de los sensores, enviar mensajes de texto, correos electronicos, etc. -![http://ipython.org/_static/ipy_0.13.png](http://ipython.org/_static/ipy_0.13.png) +## Contenido +El curso cubrira los siguiente contenidos -As a matter of fact you can run R in the notebook session, embed YouTube Videos, Images and lots more but let me not get ahead of myself.... +1. El ambiente de programacion IPython Notebooks +2. El Scripting Layer for Android SL4A +3. Github y control de revision +3. Interaccion con sensores de dispositivos moviles usando SL4A y Python +4. Analisis de datos usando Python -The science stack consists of (but not limited to): +Requisitos +---------- +Para este curso se requiere +* Una computadora con SO Windows/MAC OS X/Linux +* Un dispositivo portatil con el SO Android preferentemente version >4 +* Cable USB para conectar el dispositvo movil a su computadora +* Internet para descargar archivos, datos, etc. -package | description ---- | --- -[pandas][1] | `dataframe` implementation (based on numpy) -[scipy][2] | efficient numerical routines -[sympy][3] | `symbolic mathematics` -[matplotlib][4] | python standard `plotting` package -[sci-kit learn][5] | machine learning and `well documented!` +El repositorio +--------------- +El contenido del curso se ofrece en el formato de IPython Notebooks y se encuentra completamente contenido en este repositorio de `GitHub`. Para ver el contenido pueden seguir los enlaces que se localizan en la parte superior de esta pagina. Tambien pueden descargarlos directamente a su computadora. -Talk contents --------- -The talk will aim to introduce these tools and explore some practical interactive examples. Once completed it will be shown how easy it is to publish your work to various formats. Some of the topics covered in the talk are listed below: - -item | description ----- | ------- -ipython | quick intro to ipython and the notebook -setup | set up your environment / get the talk files -notebook basics | navigate the notebook -notebook magic’s | special notebook commands that can be very useful -getting input | as from IPython 1.00 getting input from sdtin is possible -local files | how to link to local files in the notebook directory -plotting | how to create beautiful inline plots -symbolic math | quick demo of sympy model -pandas | quick intro to pandas dataframe -typesetting | include markdown, Latex via MathJax -loading code | how to load a remote .py code file -gist | paste some of your work to gist for sharing -js | some javascript examples -customising | loading a custom css and custom matplotlib config file -git cell | add code to a special cell that would commit to git -output formats | how to publish your work to html, pdf or jeveal.js presentation - - -Get the processed presentation files here: ------- -format | description -------- | ------------ -[IPython notebook](https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/pycon13_ipython.ipynb) | .ipynb file to run in browser -[IPython html notebook](http://htmlpreview.github.io/?https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/output/pycon13_ipython.html) | converted to HTML and served online -[IPython pdf notebook](https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/output/pycon13_ipython_pdf.pdf?raw=true) | converted to PDF for download (to be added, needs pandoc) -[IPython pdf book](https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/output/pycon13_ipython_complete.pdf?raw=true) | converted to pdf and a front-page stitched to it) -[Ipython reveal.js presentation](http://htmlpreview.github.io/?https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/output/pycon13_ipython.slides.html#/) | converted to a reveal.js presentation and served online -[Online IPython NBveiwer](http://nbviewer.ipython.org/urls/raw.github.com/Tooblippe/zapycon2013_ipython_science/master/src/pycon13_ipython.ipynb) | view on the ipython notebook viewer - - -Dependencies -------------- -I was given the challenge to develop all of this on a Windows machine as some of my sponsors want to demonstrate that this stuff can not only be done on GNU/Linux/OSX. So all the tool chains are Windows based. If you know Linux, then you are the type of person that would easily port this. That being said the Windows GitHub client is refreshing. I have also added a MacBook Air to my arsenal and have been porting the toolchain to Mac aswell and it seems to be working fine. - -package | description --------- | ------------ -IPython | To use NBConvert you need V1.00. If you only want to use the interactive notebook then v0.13 will be ok. -pandoc | The document converter used by IPythonr -MikeTex | If you want to do a TEX to PDF transform. I had so many issues with the TEX to PDF conversion by NBConvert, so settled for wkhtmltopdf(below) to convert HTML to PDF rather. (Convert notebook to HTML with NBconvert and then from HTML to PDF with wkhtmltopdf -wkhtmltopdf | Convert HTML to PDF (i could only install this on windows) -wkpdf | I couldn't get wkhtmltopdf to work on os x so i installed wkpdf for handling the HTML to PDF conversion on my Mac. It's a Ruby Gem install and painless. -pdftk | Can be used to combine PDF's. In this case add a frontpage to the generated IPython notebook PDF. Only available for Windows. -*ImageMagick | for compressing the PDF. Still experimenting with this.(have not got this working yet so not needed) -*GhostScript | needed by ImageMagick(not needed as PDF compression is not functional yet) -anaconda | install anaconda from Continuum Analytics. Almost all the Python packages are included and it has a virtual environment manager via it's console application `conda' - - -How to run the Interactive Notebook +[Siguiendo este enlace](http://nbviewer.ipython.org/github/htapia/lania.ipython/blob/master/Index.ipynb) podran acceder al contenido estatico del curso. + +El curso -------- -Navigate to the `src` directory and run from the command line: +El curso consiste en 24 horas de tutoriales y practicas donde usaremos el lenguaje de programacion Python para crear una aplicacion sencilla que puede implementarse en un dispositivo Android. - ```python - ipython notebook --pylab inline -``` +Las 24 horas se cubriran a lo largo de 4 dias, 6 horas cada uno, de acuerdo al siguiente calendario: -If everything works your browser should open and you can select the `notebook` and start experimenting! - -PDF, HTML, Slideshow Build Script ------------- -There is a build script in the `src` directory. It is an IPython file. You can basically build shell scripts this way. To use the power of IPython commands save the file with the `.ipy` extension and call it with IPython. Even the magic’s work. To build the document use `ipython builddocs.ipy` You will have to change the paths to the software however. Currently I can use the build script on Windows and on my Mac but it is a bit of a hack. +| Fecha | Dia/Sesion/Libreta | Tema | Enlace | +|:--------:|----:|----:|----:| +|10/24/2015 | 1/1/- |Presentacion y preliminares| [Contenido](Dia1/Index.ipynb) | +|10/24/2015 | 1/1/1 |Instalacion y Configuracion de IPython| +|10/24/2015 | 1/1/2 |Instalacion y Configuracion de SL4A | +|10/24/2015 | 1/2/1 |Instalacion y Configuracion de Python y Android localmente | +|10/24/2015 | 1/2/2 |Ejercicios | +|| +|10/31/2015 | 2/1/0 |Revision Dia 1 | [Contenido](Dia2/Index.ipynb)| +|10/31/2015 | 2/1/1 |Adquisicion de Datos 1 | +|10/31/2015 | 2/1/2 |Adquisicion de Datos 1 | +|10/31/2015 | 2/2/1 |Adquisicion de Datos 2 | +|| +|11/14/2015 | 3/1 |Generando datos usando sensores moviles| [Contenido](Dia3/Index.ipynb)| +|11/14/2015 | 3/2 |Distribuyendo datos en la nube | +|11/15/2014 | 3/3 |Accesando datos de la nube | +|11/15/2014 | 3/4 |Procesamiento y Analisis de Datos 3| +|11/15/2014 | 3/5 |Controlando dispositivo desde Python 1| +|11/15/2014 | 3/6 |Proyecto final| +|| +|11/21/2014 | 3/5 |Proyecto final | -Cross Platform Output Rendering --------- -I have tested the HTML outputs on my Galaxy S3 and S4, IPAD and Nexus7. They render very well. Even the downloaded PDF was easily readable on the NEXUS 7 in landscape mode. In conclusion the produces work is really very well packaged and easily consumed on most platforms. This is not bad, and all done with open source software. +Evaluacion +========== +El curso sera evaluado considerando los siguientes criterios: -Some interesting links ------------------------ -* [A book written with IPython Notebook][7] -* [Notebook Viewer][8] -* [Anaconda - Installing almost everything you need][9] +1. Asistencia y participacion +3. Ejercicios y actividades +4. Proyecto final +## Asistencia y Participacion +Es obligatorio estar presente durante 24 horas y participar en las actividades que se van a llevar a cabo durante ellas. No se permitiran ausencias injustificadas. -About the presenter ----------- -* I am an Electrical Engineer and is currently working for a [consulting firm][10] where I manage the Business Analytics and Quantitative Decision Support Services division. -* I use python in my day to day work as a practical alternative to the limitations of EXCEL in using large data sets. -* [LinkedIn][11] -* I am also a co-founder at [House4Hack][12] +## Ejercicios y actividades +La realizacion de los ejercicios es tambien considerada parte de la participacion ya que por la naturaleza y el contenido del curso, este es altamente interactivo. Cada tema se presenta por medio de libretas interactivas donde se escribe y ejecuta codigo para presentar conceptos y resolver problemas. + +## El proyecto final +La ultima parte de su evaluacion consistira en un pequeño proyecto final que desarrolle sobre los conceptos que aprenderan durante el curso. + +El objetivo central sera desarrollar un programa que pueda ejecutarse en un dispositivo movil _Android_ usando S4LA y Python, y que realice algun proceso de adquisicion y procesamiento de datos usando los sensores disponibles en su dispositivo. El tema del proyecto final es libre; se sugiere que sea ligado a sus intereses profesionales y/o personales. Ejemplos desarrollados en el pasado incluyen + +* Granjas geograficas virtuales (geogranjas) +* Cuenta pasos y escalones +* Control de un robot +El proyecto final puede desarrollarse de manera individual o en equipos de no mas de tres personas, y se desarrollara durante las ultimas dos sesiones de clase. +El proyecto debera entregarse en forma digital a mas tardar el dia 11/21/2014 a las 16:00 hrs. La entrega del proyecto debe consistir de: - [1]: http://pandas.pydata.org/ - [2]: http://www.scipy.org/ - [3]: http://sympy.org/en/index.html - [4]: http://matplotlib.org/ - [5]: http://scikit-learn.org/ - [6]: http://tooblippe.github.io/zapycon2013_ipython_science - [7]: http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/ - [8]: http://nbviewer.ipython.org/ - [9]: http://www.continuum.io/downloads - [10]: http://www.eon.co.za/index.php/our-services-main/our-services/business-analytics - [11]: http://www.linkedin.com/in/tobienortje - [12]: http://www.house4hack.co.za/ +1. Un documento (digital) breve describiendo el proyecto, incluyendo introduccion al problema que se desea abordar, metodologia e implementacion y resultados obtenidos. +2. Uno o varios programas que puedan ejecutarse en el dispositivo movil y que reproduzcan los resultados obtenidos descritos en el documento que acompaña la entrega. -[![Bitdeli Badge](https://d2weczhvl823v0.cloudfront.net/Tooblippe/zapycon2013_ipython_science/trend.png)](https://bitdeli.com/free "Bitdeli Badge") +La entrega se hara a traves de los canales que para este fin seran establecidos. +En caso de que cualquiera de estos requisitos **no** se cumpla, se considerara como **Nula** la entrega del proyecto, perjudicando la evaluacion hasta en un 45%. diff --git a/Untitled Folder/Untitled.ipynb b/Untitled Folder/Untitled.ipynb new file mode 100644 index 0000000..286dcb3 --- /dev/null +++ b/Untitled Folder/Untitled.ipynb @@ -0,0 +1,6 @@ +{ + "cells": [], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/extras/0A_Images.ipynb b/extras/0A_Images.ipynb new file mode 100644 index 0000000..3630e94 --- /dev/null +++ b/extras/0A_Images.ipynb @@ -0,0 +1,2218 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:b7b6735e002b160af4ce0cbef727310d80672b90ebd17b6b2bdecc2daeaa0d6d" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "From\n", + "http://nbviewer.ipython.org/github/minrk/IPython-parallel-tutorial/blob/master/images.ipynb" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Requires: requests, requests_cache\n", + "[MediaWiki search API](http://www.mediawiki.org/wiki/API:Search)" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import sys, os\n", + "\n", + "import requests\n", + "try:\n", + " import requests_cache\n", + "except ImportError:\n", + " print(\"no cache, no worries\")\n", + "else:\n", + " requests_cache.install_cache(\"mediawiki\")\n", + "\n", + "api_url = \"http://commons.wikimedia.org/w/api.php\"" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "no cache, no worries\n" + ] + } + ], + "prompt_number": 32 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def api_request(**kwargs):\n", + " \"\"\"Make a request of the Wikimedia Commons API\n", + " \n", + " Returns data after parsing JSON\n", + " \"\"\"\n", + " sys.stdout.write('.')\n", + " sys.stdout.flush()\n", + " \n", + "\n", + " params = dict(\n", + " action='query',\n", + " format='json',\n", + " )\n", + " params.update(kwargs)\n", + " r = requests.get(api_url, params=params)\n", + " r.raise_for_status()\n", + " return r.json()\n", + "\n", + "\n", + "import json\n", + "\n", + "def search_images(search, limit=100, size_limit=400000):\n", + " \"\"\"search wikimedia commons for a given term\n", + " \n", + " returns a list of `limit` URLs for images\n", + " \"\"\"\n", + " urls = []\n", + " continue_params = {}\n", + " while limit > 0:\n", + " data = api_request(\n", + " srnamespace=6,\n", + " prop='imageinfo',\n", + " list='search',\n", + " srsearch=search,\n", + " srlimit=min(limit, 50),\n", + " **continue_params\n", + " )\n", + " continue_params = data['query-continue']['search']\n", + " total = data['query']['searchinfo']['totalhits']\n", + " results = data['query']['search']\n", + " for r in results:\n", + " title = r['title']\n", + " data = api_request(\n", + " prop='imageinfo',\n", + " titles=title,\n", + " iiprop='url|size|mime')\n", + " imageinfo = data['query']['pages'].values()[0]['imageinfo'][0]\n", + " if imageinfo['mime'] in ('image/png', 'image/jpeg') and imageinfo['size'] <= size_limit:\n", + " urls.append(imageinfo['url'])\n", + " limit -= 1\n", + " \n", + " return urls" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 33 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def download_images(search, n):\n", + " \"\"\"download images from mediawiki commons to folders based on the search term\"\"\"\n", + " if not os.path.exists('images'):\n", + " os.mkdir('images')\n", + " tagdir = os.path.join('images', search)\n", + " if not os.path.exists(tagdir):\n", + " os.mkdir(tagdir)\n", + " for url in search_images(search, n):\n", + " r = requests.get(url)\n", + " fname = url.rsplit('/')[-1]\n", + " dest = os.path.join(tagdir, fname)\n", + " # print(\"downloading %s => %s\" % (url, dest))\n", + " sys.stdout.write('+')\n", + " sys.stdout.flush()\n", + " with open(dest, 'wb') as f:\n", + " f.write(r.content)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 34 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "download_images('portrait', 100)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "." + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "." + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "." + ] + }, + { + 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+ "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "+" + ] + } + ], + "prompt_number": 35 + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/extras/Lib0N_Parallel_00.ipynb b/extras/Lib0N_Parallel_00.ipynb new file mode 100644 index 0000000..79460cd --- /dev/null +++ b/extras/Lib0N_Parallel_00.ipynb @@ -0,0 +1,129 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:a6858ab3322ad5c59ac1fdfcca6c5737f7ade671ebe0b65f6b2e05e975e5aca7" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Preliminares" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import numpy\n", + "print 'numpy:', numpy.__version__\n", + "\n", + "import scipy\n", + "print 'scipy:', scipy.__version__\n", + "\n", + "import matplotlib\n", + "print 'matplotlib:', matplotlib.__version__\n", + "\n", + "import sklearn\n", + "print 'scikit-learn:', sklearn.__version__" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "numpy: 1.8.1\n", + "scipy: 0.13.3\n", + "matplotlib: 1.3.1\n", + "scikit-learn:" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + " 0.15.2\n" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "F = numpy.matrix([[1, 1], [1, 0]])" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 2 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "(F ** 7)[0, 0]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 5, + "text": [ + "21" + ] + } + ], + "prompt_number": 5 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "F**7" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 6, + "text": [ + "matrix([[21, 13],\n", + " [13, 8]])" + ] + } + ], + "prompt_number": 6 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/extras/Lib0N_Parallel_01.ipynb b/extras/Lib0N_Parallel_01.ipynb new file mode 100644 index 0000000..3187c34 --- /dev/null +++ b/extras/Lib0N_Parallel_01.ipynb @@ -0,0 +1,449 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:57581d555b39dcd9b8e44192d3deee742c741ee38542c131903df9167d0a6715" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Parallel IPython\n", + "========\n", + "## Un ejemplo\n", + "\n", + "Primero iniciamos el controlador y cuatro motores de IPython desde el dashboard." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from IPython import parallel\n", + "rc = parallel.Client()\n", + "rc.block = True\n", + "rc.ids" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 1, + "text": [ + "[0, 1, 2, 3]" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Primero veremos un ejemplo muy trivial. Multiplicaremos numeros." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def mul(a,b):\n", + " return a*b" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 2 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def summary():\n", + " \"\"\"summarize some info about this process\"\"\"\n", + " import os\n", + " import socket\n", + " import sys\n", + " return {\n", + " 'cwd': os.getcwd(),\n", + " 'Python': sys.version,\n", + " 'hostname': socket.gethostname(),\n", + " 'pid': os.getpid(),\n", + " }" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 3 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "mul(5,6)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 4, + "text": [ + "30" + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "summary()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 5, + "text": [ + "{'Python': '2.7.8 |Anaconda 2.0.1 (64-bit)| (default, Aug 21 2014, 18:22:21) \\n[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]',\n", + " 'cwd': '/home/htapia/LocalRepos/lania.posdoc/posdoc.1er/cursos/lania.ipython/notebooks',\n", + " 'hostname': 'gpu-sensores',\n", + " 'pid': 6416}" + ] + } + ], + "prompt_number": 5 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Para ejecutar estas funciones en paralelo, lo unico que tenemos que hacer es convertir `f(*args, **kwargs)` en `view.apply(f, *args, **kwargs)`...asi de simple:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`view` es un nombre generico para el objeto que representa un motor de IPython. En este ejemplo cada uno de los controlodadores especificados en el cliente `rc` es una vista:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "type(rc[:])" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 7, + "text": [ + "IPython.parallel.client.view.DirectView" + ] + } + ], + "prompt_number": 7 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos usar cualquiera de ellos para ejecutar las funciones:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rc[1].apply(mul,5,6)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 8, + "text": [ + "30" + ] + } + ], + "prompt_number": 8 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rc[3].apply(summary)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 10, + "text": [ + "{'Python': '2.7.8 |Anaconda 2.0.1 (64-bit)| (default, Aug 21 2014, 18:22:21) \\n[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]',\n", + " 'cwd': '/home/htapia',\n", + " 'hostname': 'gpu-sensores',\n", + " 'pid': 10048}" + ] + } + ], + "prompt_number": 10 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Se puede hacer lo mismo en paralelo?" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rc[:].apply(mul,5,6)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 11, + "text": [ + "[30, 30, 30, 30]" + ] + } + ], + "prompt_number": 11 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rc[:].apply(summary)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 12, + "text": [ + "[{'Python': '2.7.8 |Anaconda 2.0.1 (64-bit)| (default, Aug 21 2014, 18:22:21) \\n[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]',\n", + " 'cwd': '/home/htapia',\n", + " 'hostname': 'gpu-sensores',\n", + " 'pid': 10049},\n", + " {'Python': '2.7.8 |Anaconda 2.0.1 (64-bit)| (default, Aug 21 2014, 18:22:21) \\n[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]',\n", + " 'cwd': '/home/htapia',\n", + " 'hostname': 'gpu-sensores',\n", + " 'pid': 10046},\n", + " {'Python': '2.7.8 |Anaconda 2.0.1 (64-bit)| (default, Aug 21 2014, 18:22:21) \\n[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]',\n", + " 'cwd': '/home/htapia',\n", + " 'hostname': 'gpu-sensores',\n", + " 'pid': 10047},\n", + " {'Python': '2.7.8 |Anaconda 2.0.1 (64-bit)| (default, Aug 21 2014, 18:22:21) \\n[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]',\n", + " 'cwd': '/home/htapia',\n", + " 'hostname': 'gpu-sensores',\n", + " 'pid': 10048}]" + ] + } + ], + "prompt_number": 12 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En Python hay una implementacion de `map` para llamar una funcion con varios argumentos:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "map(mul, range(1,10), range(2,11))" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 13, + "text": [ + "[2, 6, 12, 20, 30, 42, 56, 72, 90]" + ] + } + ], + "prompt_number": 13 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Podemos paralelizar esto?" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rc[:].map(mul, range(1,10), range(2,11))" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 24, + "text": [ + "[2, 6, 12, 20, 30, 42, 56, 72, 90]" + ] + } + ], + "prompt_number": 24 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Hola Clase!\n", + "======" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def sleep_and_echo(t, msg):\n", + " import time\n", + " time.sleep(t)\n", + " return msg" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 28 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "view = rc.load_balanced_view()" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 27 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "hola = view.apply_async(sleep_and_echo, 30, \"Hola\")" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 29 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "clase = view.apply_async(sleep_and_echo, 30, \"Clase!\")" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 30 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "print 'Submitted tasks: ', hola.msg_ids + clase.msg_ids\n", + "print hola.result + clase.result" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Submitted tasks: ['12d8b417-2a3c-4730-b013-a1976b84f437', 'e279a6d1-6627-404a-b95a-a75f8d0bd1ee']\n", + "HolaClase!\n" + ] + } + ], + "prompt_number": 31 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Magia paralela\n", + "======" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%%px\n", + "import os, socket\n", + "print os.getpid()\n", + "print socket.gethostname()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[stdout:0] \n", + "10049\n", + "gpu-sensores\n", + "[stdout:1] \n", + "10046\n", + "gpu-sensores\n", + "[stdout:2] \n", + "10047\n", + "gpu-sensores\n", + "[stdout:3] \n", + "10048\n", + "gpu-sensores\n" + ] + } + ], + "prompt_number": 26 + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/extras/Lib0N_Parallel_02_motivatingExample.ipynb b/extras/Lib0N_Parallel_02_motivatingExample.ipynb new file mode 100644 index 0000000..3040172 --- /dev/null +++ b/extras/Lib0N_Parallel_02_motivatingExample.ipynb @@ -0,0 +1,281 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Detectando rostros interactivamente\n", + "===============\n", + "\n", + "Para darnos una idea de como puede usarse IPython.parallel, presentaremos este ejemplo donde trataremos de detectar rostros usando la libreria OpenCV." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "ename": "ImportError", + "evalue": "No module named cv2", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 5\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 6\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mIPython\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mparallel\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mImportError\u001b[0m: No module named cv2" + ] + } + ], + "source": [ + "import sys, os, re, time\n", + "\n", + "import numpy as np\n", + "\n", + "import cv2\n", + "\n", + "from IPython import parallel" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def extract_faces(image,faces):\n", + " \"\"\"\n", + " Returns any faces in an image \n", + " in a list of numpy arrays\n", + " \"\"\"\n", + " \n", + " import numpy as np\n", + " A = np.frombuffer(image.tostring(), dtype=np.int8).reshape((image.shape))\n", + " A = A[:,:,::-1]\n", + " face_arrays = []\n", + " for face in faces:\n", + " Aface = A[face[1]:face[1]+face[3], face[0]:face[0]+face[2]]\n", + " face_arrays.append(Aface)\n", + " return face_arrays" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "pictures_dir = os.path.join('images', 'portrait')" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['images/portrait/Narbut_Self-portrait_with_the_wife.jpg',\n", + " 'images/portrait/Namora_portrait_80.jpg',\n", + " 'images/portrait/Portrait-Ivan.jpg',\n", + " 'images/portrait/Camille_Blanc_-_portrait.jpg']" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pictures = []\n", + "for directory, subdirs, files in os.walk(pictures_dir):\n", + " for fname in files:\n", + " if fname.lower().endswith(('.jpg', '.png')):\n", + " pictures.append(os.path.join(directory,fname))\n", + "pictures\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pic = pictures[0]\n", + "\n", + "img = cv2.imread(pic)\n", + "gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n", + "faces = [] \n", + "face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')\n", + "detected = face_cascade.detectMultiScale(gray, 1.2, 2)\n", + "if detected:\n", + " \n", + " for (x,y,w,h) in detected:\n", + " faces.append((x,y,w,h))\n", + "\n", + "faces\n", + "\n", + "# plt.imshow(extract_faces(img, faces)[0][:,:,::-1])" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def detect_faces(filename):\n", + " \"\"\"\n", + " Loads an image into OpenCV, and detects faces\n", + " \n", + " returns None if no image is found,\n", + " (filename, [list of numpy arrays]) if there are faces\n", + " \"\"\"\n", + " face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')\n", + " img = cv2.imread(filename)\n", + " gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n", + " faces = []\n", + " detected = face_cascade.detectMultiScale(gray, 1.2, 2)\n", + " if detected:\n", + " for (x,y,w,h) in detected:\n", + " faces.append((x,y,w,h))\n", + " if faces:\n", + " return filename, extract_faces(img, faces)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "ename": "TypeError", + "evalue": "'NoneType' object is not iterable", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mp\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mpictures\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mfilename\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mfaces\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdetect_faces\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mp\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mface\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mfaces\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mface\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mTypeError\u001b[0m: 'NoneType' object is not iterable" + ] + } + ], + "source": [ + "for p in pictures:\n", + " filename,faces = detect_faces(p)\n", + " for face in faces:\n", + " plt.figure()\n", + " plt.imshow(face)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'../images/portrait/Camille_Blanc_-_portrait.jpg'" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "filename" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/extras/Lib0N_Parallel_Processing.ipynb b/extras/Lib0N_Parallel_Processing.ipynb new file mode 100644 index 0000000..e6fa514 --- /dev/null +++ b/extras/Lib0N_Parallel_Processing.ipynb @@ -0,0 +1,422 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:b6adb5c30062dc18f1abbf66a1f6be889107bceaafab8380e7237f2239df53bd" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 1 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "import sys, os, re, time\n", + "import urllib\n", + "\n", + "import numpy as np\n", + "\n", + "from IPython import parallel" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 2 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from skimage.io import imread\n", + "from skimage import measure" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 3 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def find_contours(path, low=0.1, high=0.8):\n", + " \"\"\"Find contours in an image at path\n", + " \n", + " Retuns the image and the contour lists\n", + " \"\"\"\n", + " img = imread (path, flatten=True)\n", + " \n", + " # Find contours at a constant value of 0.1 and 0.8\n", + " dark = measure.find_contours(img,low)\n", + " light = measure.find_contours(img, high)\n", + " return img, dark, light" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 4 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def plot_contours(img, dark, light, show=True):\n", + " \"\"\"Display the image and plot all contours found\"\"\"\n", + " \n", + " plt.imshow(img, cmap='gray')\n", + " \n", + " for n, contour in enumerate(dark):\n", + " plt.plot(contour[:,1], contour[:,0], c='r', linewidth = 1)\n", + " \n", + " for n, contour in enumerate(light):\n", + " plt.plot(contour[:,1], contour[:,0], c='b', linewidth = 1)\n", + " \n", + " plt.axis('image')\n", + " plt.xticks([])\n", + " plt.yticks([])\n", + " \n", + " if show:\n", + " plt.show() " + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 5 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def get_contours_image(path):\n", + " \"\"\"Given a path, return a PNG of the image with contour lines\n", + " \n", + " Calls find_contours and plot_contours\n", + " \"\"\"\n", + " from IPython.core.pylabtools import print_figure\n", + " \n", + " img, dark, light = find_contours(path)\n", + " plot_contours(img, dark, ligth, show=False)\n", + " fig = plt.gfc()\n", + " pngdata = print_figure(fig)\n", + " plt.close(fig)\n", + " return pngdata" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 6 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "pictures_dir = os.path.join('.', 'images', 'portrait')\n", + "\n", + "pictures = []\n", + "\n", + "for folder, subfolder, files in os.walk(pictures_dir):\n", + " for fname in files:\n", + " if fname.lower().endswith(('.jpg', '.png')):\n", + " pictures.append(os.path.join(folder, fname))\n", + "pictures" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 15, + "text": [ + "['./images/portrait/Portrait_Raf_%2B_Didge_-_600x500.jpg',\n", + " './images/portrait/Narbut_Self-portrait_with_the_wife.jpg',\n", + " './images/portrait/Namora_portrait_80.jpg',\n", + " './images/portrait/Linda_Bouws_portrait_by_Maarten_Brinkgreve.JPG',\n", + " './images/portrait/Cat-tortoiseshell_cat_portrait-20051019.jpg',\n", + " './images/portrait/Canzi_%E2%80%93_Heller_Portrait_of_J%C3%B3zsef_E%C3%B6tv%C3%B6s_c._1867.jpg',\n", + " './images/portrait/Blumenschein_Portrait_of_Albedia.png',\n", + " './images/portrait/Portrait_05olivierchapuisroux.jpg',\n", + " './images/portrait/COSV_-_Sud_Sudan_2004_-_portrait_%281%29.jpg',\n", + " './images/portrait/Shakespeare_Portrait_Comparisons_2.JPG',\n", + " './images/portrait/Christophe_PORTRAIT_CD.jpg',\n", + " './images/portrait/Jules_Michelet_portrait_older.jpg',\n", + " './images/portrait/Natures_Mortes._Portrait_of_C%C3%A9zanne%2C_Portrait_of_Renoir%2C_Portrait_of_Rembrandt.jpg',\n", + " './images/portrait/Avancorafael.JPG',\n", + " './images/portrait/Self-portrait%2C_wikipedian_Andreas_Walk_%282007%29.jpg',\n", + " './images/portrait/Thielke_Portrait_2.JPG',\n", + " './images/portrait/Portrait_photo_pastel.JPG',\n", + " './images/portrait/HoracePartridge_portrait_ca1890s_Boston.png',\n", + " './images/portrait/Avalon_roberts_portrait_02.jpg',\n", + " './images/portrait/Mustafa_Samsunlu%2C_auto_portrait%2C_2009%2C_Istanbul%2C_Turkey.jpg',\n", + " './images/portrait/Frzaba.jpg',\n", + " './images/portrait/Portrait_de_Jean_Rieder.jpg',\n", + " './images/portrait/Portrait_Roger-G%C3%A9rard_Schwartzenberg.jpg',\n", + " './images/portrait/Stroganova_by_Francois_Dessain.jpg',\n", + " './images/portrait/Portrait_Ski_FANARA.jpg',\n", + " './images/portrait/Portrait_jung.jpg',\n", + " './images/portrait/Portrait_of_Wikipedian_Ryanrehfuss.jpg',\n", + " './images/portrait/Portrait-Ivan.jpg',\n", + " './images/portrait/Ali_Esbati_portrait_crop.jpg',\n", + " './images/portrait/Li_Shizhen_portrait_2.jpg',\n", + " './images/portrait/Alexander_Roslin_-_Self-portrait1.jpg',\n", + " './images/portrait/B%26W_portrait_of_a_woman_seen_in_profile_small.JPG',\n", + " './images/portrait/Portrait-one.jpg',\n", + " './images/portrait/Mauthner_Portrait_aus_Erinnerungen.jpg',\n", + " './images/portrait/Glassman2008_portrait_1401.jpg',\n", + " './images/portrait/Portrait_Ernst_M._Heims.jpg',\n", + " './images/portrait/Mike_Enzi_official_portrait_new.jpg',\n", + " './images/portrait/Emu_portrait_-_Lindale_Farm.jpg',\n", + " './images/portrait/Portrait_Mme_Morel_de_Vind%C3%A9.jpg',\n", + " './images/portrait/Franz_Liszt_1858.jpg',\n", + " './images/portrait/Richard_Burr_official_portrait_crop.jpg',\n", + " './images/portrait/Shakespeare_Portrait_Comparisons.JPG',\n", + " './images/portrait/Portrait_de_Lucien_Storme.jpg',\n", + " './images/portrait/Senator_Ron_Johnson_Official_Portrait%2C_112th_Congress.jpg',\n", + " './images/portrait/Verandah_Porche_portrait_2010.JPG',\n", + " './images/portrait/FerdinandBayernWart.jpg',\n", + " './images/portrait/John_Holdren_official_portrait_small.jpg',\n", + " './images/portrait/1660_Ludwig.jpg',\n", + " './images/portrait/Pushkin_portrait_by_somov.JPG',\n", + " './images/portrait/George_Tenet_portrait_headshot.jpg',\n", + " './images/portrait/Camille_Blanc_-_portrait.jpg',\n", + " './images/portrait/Portrait_of_Charles_IX.jpg',\n", + " './images/portrait/Portrait_of_John_JordanDSC00653.JPG',\n", + " './images/portrait/My_portrait_of_Laura_Bush.JPG',\n", + " './images/portrait/Portrait_of_William_Blair.jpg',\n", + " './images/portrait/Composer_portrait_unavailable.png',\n", + " './images/portrait/Portrait_William_Klippgen.jpg',\n", + " './images/portrait/Portrait_of_Alaeddin_Melmasi.jpg',\n", + " './images/portrait/Femme_Ranc.jpg',\n", + " './images/portrait/Study_for_a_Portrait_by_Reginald_Gray.jpg',\n", + " './images/portrait/Portrait_de_Louis_Nattero.jpg',\n", + " './images/portrait/Gordon_Brown_Portrait_Crop.jpg',\n", + " './images/portrait/Portrait_um.JPG',\n", + " './images/portrait/Shakespeare_portrait_large.jpg',\n", + " './images/portrait/Brett_Joshpe_portrait_II_-_August_2007.jpg',\n", + " './images/portrait/Angelo_Maria_Quirini.jpg',\n", + " './images/portrait/Portrait_d%27Eric_Vuillard.JPG',\n", + " './images/portrait/Portrait_de_Blandine_REYNAUD.jpg',\n", + " './images/portrait/Portrait_Louis_Van_Delft.jpg',\n", + " './images/portrait/Portrait_emile_chambon.jpg',\n", + " './images/portrait/Portrait_r%C3%A9a_manuel_Poutte.jpg',\n", + " './images/portrait/Portrait_Una_Lucy_Fielding.jpg',\n", + " './images/portrait/Armand_Laroche_%281826-1903%29%2C_portrait_of_Louis-Frederic_Sch%C3%BCtzenberger..JPG',\n", + " './images/portrait/Logo_portrait_646.jpg',\n", + " './images/portrait/Maria_Alexandrovna_1.jpg',\n", + " './images/portrait/Portrait_didier_gonzales.jpg',\n", + " './images/portrait/A_portrait_of_Mu_Han_%28old%29.jpg',\n", + " './images/portrait/Portrait_Jordan.jpg',\n", + " './images/portrait/Colin_powell_%28official_portrait%29.png',\n", + " './images/portrait/Kellar_portrait_cropped.jpg',\n", + " './images/portrait/Controversial_portrait_attributed_by_some_to_Benvenuto_Cellini.jpg',\n", + " './images/portrait/My_eyes%3B_self_portrait_IV_MMVI.jpg',\n", + " './images/portrait/059788.jpg',\n", + " './images/portrait/Portrait_de_Jules_Leroux.jpg',\n", + " './images/portrait/Portrait_of_Emma_Andijewska.JPG',\n", + " './images/portrait/Portrait-Ren%C3%A9-Jean.JPG',\n", + " './images/portrait/Portrait_of_a_lady.jpg',\n", + " './images/portrait/Portrait_de_M._Barr%C3%AAme.jpg',\n", + " './images/portrait/Portrait_of_a_gentleman%2C_possibly_a_self-portrait_by_Albert_von_Keller.jpg',\n", + " './images/portrait/Beck_Portrait_12_05.jpg',\n", + " './images/portrait/Portrait_of_Edwin_Wiegele_%28Artist%29.jpg',\n", + " './images/portrait/Sunny_Park_Portrait_2009.jpg',\n", + " './images/portrait/Portrait_of_Shiba_Kokan.JPG',\n", + " './images/portrait/Balfour_portrait_and_declaration1.jpg',\n", + " './images/portrait/Kirsten_Gillibrand%2C_official_photo_portrait%2C_111th_Congress.jpg',\n", + " './images/portrait/Stefan_Dikidjiev_portrait_ofVRsculptor.png',\n", + " './images/portrait/Portrait_um_S.JPG',\n", + " './images/portrait/Portrait_Henri_Tudor.jpg',\n", + " './images/portrait/Cumberland_Falls_portrait_view.JPG',\n", + " './images/portrait/Guizot%2C_Guillaume_%281%29.jpg',\n", + " './images/portrait/Portrait_of_Masatake_Terauchi.jpg',\n", + " './images/portrait/ZuzanaB.jpg']" + ] + } + ], + "prompt_number": 15 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "pictures[:3]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 16, + "text": [ + "['./images/portrait/Portrait_Raf_%2B_Didge_-_600x500.jpg',\n", + " './images/portrait/Narbut_Self-portrait_with_the_wife.jpg',\n", + " './images/portrait/Namora_portrait_80.jpg']" + ] + } + ], + "prompt_number": 16 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "for p in pictures[:3]:\n", + " img,dark,light = find_contours(p)\n", + " plot_contours(img, dark, light)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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4LR9ATsZ5U+ekqebkd/na7/fj8OHD2Lt3L7Zv3w6/3w+v14s777wT7XYbGxsb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\nHuLCC4/w0ksvkkgkgDk+fHR0lHA4TEtLi1fR2draOrsmuIkDB5by6quns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KRWyOarURtmwp4te/PsnZsxba2kz87nen2bPHisejobFRz3XX1fHxx6Vs2WLm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z6HhQub8fn6cDgc+P1JvN448XiE1lYbV1zRwdKlxdTVhdmyJZ9sNsSYMb2ceeYmnnrq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\nBfuYO7eS668PcNFFISorewcRCqMqDILYeAJzFUZWSWcCePrpdp58sgWNx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97Fzp12jh61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UhEwmrt29UiHjdwyy0Grriilo8//pB1BgMGn6+PC0rfU/BgpJ+77Pk9Uk03O8Cmz1TTWw/Z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\nEfoVVquVzEwTsZiW5uZs9HqZzz93snTpfmbMOEwwqEWn0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EzuuCPOLbccgUHEsxPXLoyY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G0dFRDAwMyEFzOp0iYtJoNPD7/ajX6+jt7YXT6RQFok6ng8PhgMfjkXWiboY2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QQ2m41f/7qDpUtjTJo0yi23lNDaamDBgg4eflhDiCoqjNjtJv7Z9OneezvYtWsXAwMDijgSZaOY\n7jgcDmVU+s+nq0DI8j51Oh0FBQXqPslJLXM8v/bi3r8/dUxuqi3yggItv37nnUtZs+asCSlEV1cX\nXm8fM2Zs4ZRTDuNyuZTwvrW1FYvFwjXXnEtj4wz8fj/XXLOVVas2UFmpGVjOnj1bjceTHDK5ogYN\nNZDuFPng4vopskmYaDEsx7BcErHMZjNdXV3KN7qnp4e2tjYGBgZobW1VpjgyWKmnpwefz0coFMLh\nyMPn8+HzWfD707nySh+RiI6uLo86eZK1EzqdjocfTuGdd2IYjdfQ1+dW71NQAED5gfv9fhWNAUWW\nJBIJWlqWA/Dss71KvyMb3eHQc/75o7hc2mL/4x/LcbmGuOuuFN58M0ONTJG2PVlAIl4C1Ghqjckc\n5dgxbZOuX+/g1luL1H0MBBLcdZeFoaGJy6imZlA5uApSJfdBEC7xYJf1ITChBB8JbJKuCaSbjIEn\nB5CvtbhdrtCYV4YJvT5Ba2saJSUl3HzzXznjjBY1rNNkMnHo0Km8+OI36Oyczvr1NXi9Xvx+P8eP\nHycej9PV1cXtt69m1qzDCutcuLCdeFybihaLxaipqVF9g7KQZTcLYiA33mQyqQIRUB9Wor5IYoPB\noNKaSPErhaYUqKOjoxQUFChnUfEWr6urU58xEAiMOS4Nc//9P8Llmo/TqTXd/vnPOTz33HFKSgoU\nmiPvNxwO/z/S3jw8zrpcH79nJsmsycxkksm+NHvTdN8XSoWySMvihuBBEBGB41e/Rz3H40FEUFGU\nI3oJqCji7+BBQEWKbFJaLKUUWrqkaZI2aZbJNpnMktmXzJL5/fHmfjIjIH5xrourmjbJzPs+7/N5\nnvu57/vBc8+p8ac/aVFZeRMMBqeMkGmUTzQiHA5LJuZnzbUwMBqNGB1VEIQ//GERUSHKoNVqceWV\n85iY0IL9QDarxblzlfjZz8yIRhfVVRzoMPvxeiikJBPm54tw3335waPLWfv4f/5PNfbsMeJvX5nM\nW5iampJSlMp26kg5PeYonbMM0lsByAPOETvfL+kYpETT0fcDBbfZrFrwy0viwx8O4+TJChw5kkVH\nRw0CgT8LUSmVSqGr60185SunsWTJ27j1VsUcs6GhEUeOXAmNxrSgKqnHyZMKGuH1ehEKhRAKhXDu\n3DmMj4+Lpx+V9vyPwUmTRE4Vab3Fp/xvs2Yuj5nN3eTkJBobG2UFczqdhtvtxsTEhFh1JZPKwqjp\n6WnMzMyI5vPMmTNYurQZ3/3uH/CjH60EoJwol10WREPDnKw05FBC2fYWx7336nHppa8gHh+R6R9/\nF98biWj0GQcgHJmqqqqFr2lgNCoZNp225E3oWHbt2pXGxz4WwWI/oJRxExNF6OpqxLFjitp8ampK\nIDUSljQaDWKxGK64oggf/WgjCgvzWaNO52INkst97+s7AwB49dVTkgRoUEp+Oh9AnqIc3qXTaSHH\ncbLNxjN3mkkoM7cp/nt7KN83uKens2KgcuaMBlptGgcPbsBbb5nQ1tYmuKmyXPPT+MY31uF//ucz\nOHbsGBoaGuB2+7F371oEAsqy1IEBYGKiFtXV1aivr8fExATGxsZE4Tw7OytBl8vpZnZjNmYtSpGx\n0+mUB4HsMgp0+b+JdTc1NeGtt94CoExVGxoaZIjg8/nEsKe+vh5nzpxBZWUlnE4l2zY1NSGTyeD+\n+y9Gf38FvF4lld1886xAVhyUcHz92GNmzM3F4XL9CjqdDi6XS7zvYrEYTCaTnEDpdBp2u108WMgM\njMfjWLp0KUKhmzA0pGTuD39YWdfB3oLC52w2i+9+NwZmbkAxqCQGfcUVTSgttWLDhmZEowoZaXp6\nWugLyWQSv/51AIODGjzwgMKV/5d/UQZMyeS7hUwWr7yifP2llwx48cUXMT8/L7h1ZWWlSO14zTk8\n40nKZayFhYV5/oc8SYimEOPWaDSyMeMDB/eBAyapY2+9NYO5uQIcPmzH9df7BB82mUwYHh7Geec5\ncMcdB3Dbbb9BaWkpenp6kExG8KtfPYKqqjk4HA5s3XoE69f/L7RapaMOBAJQDBgD4lfBYwxAXn1I\nHsnffmCScQg1sRmkWQ9J73q9HiUlJejp6YHdbhefcWovuWGYC4f6+/uxfPlyRCIR1NXVCdZeUVGB\nBx88gK4ul1ynjRt1ee+XWQYAhoe12LkziNlZn9hCBAIBQSfIdmOGikajmJyclIeEg61wOIytW10o\nKkot3Pwy4b2Te0IujtmcAaBCbW18ISg10OnyhRjBoAY//anilV5eXo5oNI6bb65EIFCLnp78jPjU\nU6UAstDr0/ja14by/m7LliAiEQUGPv/8tCQ80muJRhHSJd2BJ0YkEsHU1JT0RySx0ZqDwx5uyeCp\nWFJSIuscP1Bwf/e7Bvj9Cktv1ar0wg3UwOcLC82VDvft7U5Eo+PIZufR32/AN795E06e3Ikf/OAy\nAJCmsKOjQ1TsZJT5fD4MDg6K4xIRklxOCW8gazOWQ/RNARZ3GFqtVrEK4DHP5q22tlYwXe6d7Ojo\nEBSFGCp34/AESafTWLduHWZnZ3H0qBnz80omampaXCvH+pjOs0rDnUA4vHgkE7+mcsdkMqGkpARm\ns1mMaSorK4VzbrFYMDs7i3A4jNde68CuXUozes89FuHFc6cnyzJlTJ2Fy7VYMy9bppRyJtPi7saJ\nCTO+/33l5AMAg0ENj8cFpzNfmEE3qni8AI88ki+3O3zYgjvuUHbqmM0+eWhHR0dRXFyMxsZGGVKR\nS8RtZkycJN4RSPD7/aiqqkIoFBIGKKDwjiKRiKhyiAB9oOAuL0/DaCxBPB5HS8ui2GF0dABLly4V\niI611Y9+dAtGR7vwoQ+ZEY8Xob/fiaGhaqRSJSgvL0dVVRVGR0fzpkvc/d3Y2IhgMIiZmRkRCOci\nJ7lkKXItGPjEg1nLkstAIhcbO/5Oh8OBuro6mM1mTExMYHx8PA8x4L5JAFLaLF26FL29vVi+fDV+\n8pMd6O9XbvLq1Yu4LWFJGgglk1m8+moxTCZlykqqKEuNVCqFsrIypNNplJeXC4swl2CUSCQEu3e7\n03jmGQWxcLuLxIqOGY2NaWFhIc4/P450Wo0dOwL4/e89OH5cSS6RyGKt/PTTpfjpT20IhWxQqbK4\n995J3H9/LZ588t2WKSn3f3Z2se7mRgUAaGxM4rXXXhMJm8lkkt6Kk1HeC9bXVNTwVCbhjVCuTqfD\n9PS08Fr0er3Yd+T6nnyg4B4a0uKyy3QoKtIKd8JgmENT0zYJyPHxcdTX10OlUuFLX9qPzZtnYTDo\ncNdd96G2tgq7d78Fu10jNTVRgpmZGWg0GplATUxMSF3NpoLHE5suZkWr1SoQEXkofFDIdSElkkoP\nWgIEg0E0NTWJYIHGQxqNJk9DCEB41S0tLbKA6JFHiqDVKtnvU5+axd13xwEU4ZFHTPD5FONNr1ep\nn48fV8Pp1MBmG0ZnZydsNpsQkXLFFJdeeikGBwfF+5sPFqdxZOQFg4ulUGtrVB5u/qkEnAYPPaTB\na68pwXzggAXf/nYRPvvZSF6Q5gbttm3VOHhwHl1dLdi4MYz+/nz8eOXK8Dtio6Ulhvn5xRD6xCem\n8eqrrwqKxVMWWFzCyoUCFRUVglOzXCE3iOJxn88nMCynkaQz0M7u720Q/odYgTRj0WiyMBrnEYtp\nMTRkXFC+AG+8cQGCQeVottt9SCY1ePVVC1KpND70ob9i27bXMD4+jtLSUrhcLvj9fvT29sr2MAYu\nyxsOErRareC+DOpsVvENJHzEi0NGGW3ZysrKBIFgJueomVyGmZkZWbPHi8+Tghg6seCRkRFYrVb4\n/X4MDq7G3JyS2aJRwGQC+vsLcccdRlx/vQm//rURS5dW44ILqvDv/07VeBFaW1uxevVq7Ny5Ew0N\nDeI6y0aU01f6KZJFx55DUeL0yX3RaAqRTqvE1oKkJK9XjW99y4BkcjGIr746iu98J55zV7N5/9tg\nmEdJSQRdXSn85CdWXHZZvtnNqVPFWLMmkve1trYUDh0aw/r1SjLYsmVMApGcFIrFySal+onBzK+R\n20/+vcfjQWlpKRwOBwAINYH9DEvSf8rlFQBOnAhDqy1CMqlGNMpvGcaRI3p8+tNX4JlnVuOhhz6c\nU1dp8fzzq/DSSzdjeroMFotFzA452FGr1XC5XLIjPhKJwO/3C9RHqIe+3fQ5oTc2YT5yoC0WS54R\nDwCBBnnEA5B6bnJyUhxeSc6hqocNJgDxzigpKUF9fT2s1lI4HNWor1dEBRdeqHzPhg0qPPSQH5kM\ncNddSpPjdBZiaEiHz3xmAPPzb+D1119HbW0tysvLcfXVV2PXrl0wm81wuVzo7++X30fEA4B46REz\nN5v/Ivfl7NkifP3rZni9CSSTKeh0Bhw7lsVtt+lRV5cSuRkA3HlnNSYm4rjlFiVALRblFF6xIghA\nherqCHbt6kBvbyESCQ1efNH8LnFgglabXvjcAXzvezFs316Pt982YuXKWTidvQgEAtLf8F5x1sBS\nr6SkBF6vF1arVcrGXK63yWRCcXGxqLnYODJR8TTloOefCu5XXlEv0BILsXu38pR+61ufhMulw4YN\n07j11jfwiU88jaef3oHRUSuSSQ++9rUn0djoRkHBMLxeL/7616X46U83iy3YzMyMbDogS4zDCB5n\ndGxl9mRdTfcmCg+IPrCUsdvtcoyxA6domH6E/LlcAciRPaBkCa4U1Ol0KC8vF52nzbYNpaVhuFxK\nRv7Rj4yYnJxELDaPL3zBiuPHFYRk1y7Fn+OOO36JbdsOQaNB3uc7c2YCev2F+PSnP41LL70UDocD\nsVgMXV1dYuVMuihFCsopFsaVV16L0lKlPOnunkdHRw3q6mpw9dVpXHaZHQcPGlBdncQnP3ku7z7e\nd18pHn5Yed+BgNJo9vQoQbx9ewI1Nfk03nfaXABzcwUoKZnD/v0WvPZaCDqd8gCNjRXnbV7mAIZ7\n3bPZrNjZuVwuVFdXY35+Xgx4dDqdNMS8H+wnZmdn5fQlgY6w6T+1E6eyMoZvftMgx/RNNykToXXr\nzmHDBi/KyqZhsRRh+fJKbNiQwNtv1+BrX7sFoVAM11wzCovFAIvFgg0bXFi9ehharRZOp1McXKem\npkQZo1arZV0EUQpSYMlz5vYu2qplMhlMT0/LsafRaDA9PS2ZIxKJyJAnEonIMch9PmxmeRzywlIJ\nwwdoeHgYmUwGd975MczOFiOZVEq11tYkUik9brtNKQFuueVr+Pa3v4NNmx7Dv//7nairUzY/vP32\n29i+fTv27t0Lj8eD7u6V+M//3IZYTAOv14stW7aI9yLpnJWVlaiublyAC6tRXFy70EeY0NCgoBsD\nA4vurH/9q8L50GjmceSIAU8+2bbwN0oAPv20Sf5teXkcV111Dq2titf5o4/aMTWVP438W79uvqqq\nlIDq7bWKa+zFF4cxNjYm4hGS1XitgcXNwEStOH1VGKV+KcV44vp8PjidTpG45Z6otBf5p7wCXS4D\nJiYKoVYrE8DhYWVyduxYK6JRwG73AzDCbrdjxYoRVFSU4qabnkBNTQX8fj8aGhrw5ptvQqfzoqrq\nMLq7u0XVPjc3J9YPhYWFC0IBZVlrXV0dMpmMuLZyAFBcXCyoQy5CEYlEhHqbu1qEjQczR0lJCaLR\nKKLRqLgelZSUSP1L3xVitIlEAl1dXeJUVV+/6AdtsyVx112z+L//txQOB7Br139hdPQUJiYmxHm2\nr68PZ86cwa5du3D06FG0trZiZmYGF1xwBlde+S8oLsYC63IAxcXFUmtu3LgRy5d/Ec8//zSAx9Hd\n/RxOntwDl+vPOHTo5zh5cg2WLFmsN1mCaLUpZDJqLF3qx89+9hdceqkD72wgAbs9gz17WnHRRady\nvvrOTP1uryuvVJrLX/1qUWJ3440TGB0dFVEvN3IAkB6JBKlcW4+xsTFks1kxC81d+djR0ZGXxLj/\nPdf/kYZM7/b6h2Vm8/MKx+OiixaVHi5XI8LhUjz/vAV//OPTmJ/Xobe3GBs3RuTz6kAAACAASURB\nVBEOh9HdrcFDD3Vi27ZtcLvdmJ+fF9oioJCBJiYmoFKpYLVacfToUWGnRSIREZT6fD5RuFN2BkDW\nTuQqWFQqlWxNI0+BHbVWq4Xf74fVakUikUAwGBRbLofDkedFmE6nsXz5cpGt0Y/785///+Tz+3xF\n2LatGaFQGqtX3wmbzSle32q1GuPj44hEItDpdHj11VfhcrlgNpsRjUZx4MABqFQx7N+/H6dPn8bK\nlSuxYcMGGXBkMhk8+uhaAMDBg7U4dCiIO+6IY3DQjMcfd0OlyuKaa3yoq1M+Gz1pzOY51NXNYnpa\niy9+8WL85S+NeffRaExj0yYfrrvuCH74w/vx8svr/244lJe/c7y9Z4/pHV/zeqNobGyUtS5arRYD\nAwOyGYKikIKCAuGnZ7NZtLW1CVGLfB8mptHRUZSVlQnxis11rnD4nxq/8+V2K11qY6MOX/yi8uSq\n1WNobh5Cb281Kiu3wGBI4fOf3wOPx70gjwqjsFCB6lpaWqDRaODxeODxeDA/Py/qGACYmppCa2ur\nbCCmoU4mk8lThcfjcfEFBCCLoHL9LQgn8uijAMJms+XVbnRQDQaDqK2tFUdRqukbGhrQ0NCAZcuW\nob6+Hn7/hbjjjv/Kuy5VVWFUVt4EnS4lPnsqlQqzs7PynteuXQuj0YimpiYMDAygpqYG69atg9Vq\nxdKlF+Ls2W8hlVJcT9euVQJ6ZGQEZWV9KCxUGrj6+hCuuy6Egwd9OO+8Ilx3XRCf/3wG83nJNgu3\n24SJiVIsWZLGxz8+ie9+91De+9VqMxgYMOGb3/wQ9Poi3HzzK+95zzWaLKqq3unFV1q62KjyxIjH\n9RgeHobdbs+T/7GnIcoVj8fhdDplYknEing+XX3pPEXSm8FgEDSMcCGFK+/1el87NdZrTmcIZrOi\nRj53bg5bt9bCZEoiEilCY6MPt9/+LObnU/B6m/DUU+34yEfOYPPmLHp6wigoiMPrPQuXyyU0Vu61\nyV3uQ9YX4R4GCp9y6h2JpORmcA4BOJHkh2YzSTiNAx+LxSIaSuWma/OMX9j8VVdXo6mpAyUlZfjG\nN65BOLzYnd95517s23e3NH7E2tnRr169Gr29vdi8eTPcbjfm5uawZMkSWa2iHNMavPbah7B06f+i\ns7MTgUAA0WgUFosFjz56C5LJWmzfHsUDDwRl8qjww7XIZmN4441iXHed7R33rrw8Do9Hv3B95hCJ\nKJ+zqSmAkRELrrrKgSVLZvDjH2/Epk0+DA4aMTubHygFBRkUFc2jsDCLYPC9N/V+5jNj2Lr1Ffzq\nV78CAOmZeEqR40NdKPstTqHZz3FwE4lExOeRNTwX6HLbGTHzdDr9npsV/gGBsNI8ZDJRJBJz8Hoz\nuO46pdbatm0cFksEDocNv/tdLUKhNpw6VQytVgOgD7FYDM8914rh4Q5UVlaitrZWdHH8YAwqWjTk\n7sshasLg9Hq9wgzkFJBAfu5qPo6zaYnASSYDj9Io4unkdQAKHdRisYhDVUmJGXfc8R/40pdulMAu\nK4viiiuO4dVXv5Nnx+B2u7Fs2TIZPIVCIVRWVmJgYAAOhwNutxvT09Oyh9Pn86GwELj11glUVVWJ\nVEw5JfxwuxsRCBTgyit9OHp0Hr/7nfK5f/YzPZYvt+Geewpx8cXzuOyyd3p3/OAHvbBYorjrrnPQ\naJT1eQAQDitU2D17GtHWFsO1176KqioX1q8fy/v+Vas8UKsziMUKJLCvucaFd3udf/4EBgYGZDjF\nHoeTWCWOjEKN5umbuxiAQon5+cV9QJTYGY1GKQuZnHJ3Ur7X632D+7OffREA8MQTerz1lgpbt9rx\noQ8pgRIIFOGRR/aioCCNt97agbvu2oIVK07h4oufRV1dCcbGxvCxjx1AR8cRxGIxxONxobVSvc4P\nzIxMXDqXRUYrB35ANhS5kFCuH0c0GoXT6RS0hV05iVWkVdJ/paCgQDaaGQwGlJaWSu2n02lhMMTQ\n1OSXa7J9+2MIBv9LbhqgPIzl5eXye5YuXQqVSoXy8nIZ63u9XkxNTWFycjLPYD4ej6O1tRUmkwmt\nra0LJ9Bio3TTTU345jcrsXdvITweLw4dMuEb35jEPfcUwe1O4MUX8znVHR1hnDsXRmlpAul0AAZD\nGoAKTU2BhWyuwmWXOVBREcDHPx5AImFALDaP559/ASUlcwCy6O4ux9KlUbAZ1ekyGBqixI+nPXkh\nERw8eFAmykNDQwLL/q03CTM2/y4aVfozMigpMSOPn0mIWkuWIhQt0IXqAwV3cbFS1H3taxZs3qzB\n5s0pzM8rP/DYsVo4ne6FX5TB5Zf34e67b8b3vvevC0w8M5xOJXtOTk6islJZQJp7BDEY6d9Htl9p\naakc36y9+YFzLY6ZkXnkkT1IaiSFsOQ78MQwGo2w2WwyRKCyg7zwj3/84/JeSkqiGBmx4oILXHjg\ngf+F2/07BINeuVFsAE0mEwYGBoT/TUYf+wvqFIuLizEzMyPDodHRUaHAcmlWRYUF1dWLMNfZszqM\nj6vw6KMlCASyeOihSrzxhgZdXXXvuGc+nxbf//4FGBmx4f7712J6WimXuN0XAF58sREnT7bB4wni\npZeW4PXXl2L37l0IhbT4+tePAwBOnbIu3K95dHQksW2b0mvNz6ugUilxsXbtLJxOp5QP1LwSz88N\ncMJ2hYWFcLvdwpnJFSkzEXDiXFhYKLtwcmFE9kf/FLckm+0GAGzcOId4PIzHH4/jppuUo2b7di9O\nnjwPWm0aF154BJdccgo33PAwvvCF5xAKhXD//dfgJz/5EgYHB+FyuTAyMgKfT1HTz87OQqVSCbBP\n0hA3KPj9fhQXFwt0V1xc/I7VEjRV1Ov18Hq9MvrlhY3H4+I1xwxNchG96kpLSxEMBqVBIX309OnT\naG5uhl5fiU99Stl/+frrdjz77P9IqcOAjMfjWLduHQAsqIs2o7y8HFarFR6PB06nU9yvGhsbsW3b\nNthsNrzwwmcxOnoZksnrMDCgwJcvvvgi4vE4mpubxeWKr87OKO69147eXj0+9zkPfvGLd5dYxeOL\n5WdhYQpXXz2GG2/sxxtv5G8s+853luHttxXyl8GglJ8f/nA/7r13HTo6Fkft2awa3d16/OQn9ryv\n6fUZ3HbbMzIGLysrg8/ng81mk4Blw885Qq4npF6vl5KOiYjmSIlEAqlUSibDuX0US0g6/L7X632D\n22TSY8UKLy68MA6j0bxg+q00gz09evzmN8vwb/+2Fx7PUgwOjqO+3oMlSwYxPz+PL3zh+3j44ceh\nVquxZMkSuFwuEQfMzc3B4/HIuJxqaXIk+HVmY26Z5ZYxSsMKCgowMjKC0tJSCWpOtqitJKOQzDQ+\n/TwSly5dKsQt1nH8+ceObcX995+Hiy5y4mMfe0jeH3knfDAofmhpaUFPT49shSCsGYlEsHHjRqxa\ntQq9vb0LxCANyssNOH1ai7IyZYf65s2bYTQaMTQ0DKfTvBB4Spbcs6d8IWAz+Na3arF3r1KOXH65\nP++eVVSwbJhHMKhFIGDCli2H8fWvj+b9uxtu8OHYsXIsWzaKDRuUodBNN83DYEji7Nl3wn1/+4rH\nlQnw1NSUUC84el+5ciUKCgoWdnRqYDabpZehSIHDGqJdtOMoKioS2G92dhZer1fIVZT7EXTI1cb+\n7et9XV5drhkEAmr09urwkY8k0Namwte/rlzUkhI/rrnmdWzbpsMrrySQzc6hrKxWyOaKCaYHLS0t\n2LdvH2pra+FwOBAOh2Gz2WSMXldXB4/HIyY8JMnwSbXb7XC73aKEd7vdMg6fm5tDY2OjeI7kYuis\nqUOhkNRqfFiKi4tl0jk2Nga9Xo/i4uIFc3gl+yhm8Eq2am/vxfHjTwh/HFDwc/pNb9q0SRQ1dXV1\ncDqdYgnBh2xqakq2KqfTaVx77RkcPLgM//ZvbyKbnUcqtQTPPrsaHR1WDA2dAdfiGQxpxGKLaEUq\nla8+OX48PxCHh/lvldzV06PFjh3Lcfvty2G3z8HtVjL+nj0mfOxjpUgkjiESWQUgi3vvrcj7XX/v\n9clPTiORSODNN9+UsnDDhg04fvw47HY7ysrKZKFATU0Nzp49KzOEqakpFBUViXaWywGMRqPAt9za\nTCybZU8kEhH7jX/STs0ArXYef/6zDl/9ahZ33BGAwaDG5ZdHMDJSiwcfvAynTg3jIx95Es3NS+TN\n8Y0Eg0H09vaira0NoVBI3jglQmq1Gm63G6FQCFVVVVJLFxcXyxv3eDxSkrCGzd2SEI1GYTabpeyg\nPIsZ2mAwiIEjhzaAQo8lN5hZgeIAvV4RQl9zzTnceONfMTT0Y6He0prAZrNhenoaOp0O/f390jtM\nTEygsLBQGkc2nQaDAbOzsxgd/TR0usugVqdw7NgSzMzUwmw249lnt2FwsBnt7WeQSmVRWKhkbI1G\n9Tf3ZDFbqdXz+Pzn3X/3HrpcJtx++0YAkMAGgJ07g7jkkpP43e+uwnPP1QNQ4dix8vf4KVhAXRZf\nN9xwFn6/HxaLBWazGY2NjfB6vVi1apUokUiSm5iYEGu4ZDKJ8847T1bI2Gw21NTUiCiajmBsugnz\nsoksKysTD5t/Ci2pqKjApz/9BwDAgw8WwOlUMMuXXjLKt/f1JVFdXS1q9+bmZjgcDjFPrKurk6EG\nIT8atFitVqRSKdTU1AiKkWu2QtECceqCggLU1NRIA0ocnLJ/2kyMjo4KskKnVR6DvCDkMeQaPHIt\nMxlrNlsanZ3HBWelYIKID1fr0USdE1Ua/PDm6vV6TE9PIxgMIpkcRUGBD3V1TmzePImvfnU79u2r\nxle/OoRQSIvTp9tx661OVFUpEN/u3blqkyyiUeX9m81JfOITbjzxhB25L41mHh/96OL3GAwZ3HLL\nIVmpx9fTT9sRjfpQXu5FNqtGUdF7H/EAkLtU9Re/OAMggcHBQVGnRyIRtLe3y/SXJCc6S3m9Xjgc\nDrhcLrz66quYnp6GSqVCf38/xsbGxNw0k8mIeJlChdwYWHQGuBynTj31nu/3fcuSs2fPoqWlFQDw\nl78U48ILI9i0KYJ0WgWNZh4WSxiXXFKGgYEBkf34fD7U1tbKmyVlMRAIiOiTJCVyDTjNo7SKnTBx\nbGLRtM9Np9Py/bRzACANC48/KljYuHAczuZmcdNAgYiPS0tLMTMzg87OToTDYRw4cAB+v1+kTUD+\nXvkNGzbgzJkzqK2thcfjETIWJWw8QQoKCtDS0oJY7C2UlHTCZqvCl750CNu2RaDVTiKdXgEAmJhQ\nIx4PwGh0AyjGr39dgdraOCYnFRiPr2CwCE89VYmSkvygzGTU+NOfFmViu3Y5sHt3DJdfvu0d9zcY\n7IDHo8COJIO936uqKobS0kH4/VERgVRWVkr/QRN9l8slq054P4iQpFIp+P1+IapRSMLszv4KgEyr\ncwULKpUKIyObUVrqwntZdP9D4/dAwI9PfnIIDQ0p/Md/mPDkkyVyEe+8868iRFCplD2J1dXVCAQC\n8Hg8UKlUGBoakrVsuf4TZNzR6BGAlBZERwja052INTkAGf6QqkplS646ntYFbFj0er2IUnU6nSiD\nYrGYTNS4FmVkZAT79u2Tjn/ZsmUoKyuTm+Pz+ZDJZNDf3w+tVovR0VGp3an/AyCdvs/nQzAYXGAF\ndsPtduP48eMYH9+HEyfexuOPP45vfvNOrFhxN44fP47Ozv/EXXfdC6s1vBDYyrj7K18J5N2fUOjd\ng1KtzuK88yZQWZnE88/bUV2tvB+rValhly0LoqDAD6s18K7fDyjNa+7rW9/qR0NDGFqtWkoSjtfX\nrVuH48ePw2azIRgMwuFwyAnL+5ObjJgcuNWOJSMREJPJJPeWbE6NRiOlY0HBLAyG/NMo9/W+j6rT\n6YRKpcKqVfuwb99nABTi0KHFEbTbfRwGgx4DAwMS1FxZXVJSApfLhXg8LhAenzqy9BhQDHhi3+yK\nqaejaoOWxHQbZefMXTcAJGOzRLFarVKvEWOnWJVc8JaWFrjd7gW3Wr1Qb30+H+bm5lBdXS3HqKI4\nsiMcDmPTpk2YmprC1NSUTN+6u7vF2ZV9RjgcRnFxMaanpxGPx+H1enHu3DnU1tbK5oeamhqYzWYM\nDQ1Br9ejuroap08fw4c//Hu8/voGTEwsRzarwv33W3DFFX1ob/cjmexHJlOMw4cr8eEPn0A0GkJz\ncxsefnglenu74HQW4vXXlRUedvsc1Op5+P1KL7N+/QzeeMMOv18x/S8uTiEcztdO5q7IBoCXX7bg\nrbcqoFYXC4LFWcPhw4eFAFdVVSXTSeopGdg+n096He5KcrvdYrxEAIBlTa7hPNX9Cgcli/n597Z2\neN/gttvtmJiYQCwWg893K6qr4zh1iir2Pvj9szh7dgYNDQ1wOBwwGo3o6elBWZliO9DW1oZgMJi3\no53kdAYDNzLkig+IUatUKqnhuF6DnBOfzydBTNI6n3BCU8CiDx55I9PT02KVS9tcr9crAwODwYCK\nigqcOHFCuBCEJVtbW9HS0oLu7m7s2LEDiUQCq1atkgFM7kM8MzMjmG4mo+x4ZEPFk2lmZiZvODE5\nOQmLxbIgBnYvUIJfxcqVe7B27X9hz54t+MEP9qG8fGKhFq3C/v37sWtXyYJSR4fBwSOorn4MbW0m\nmM0W1NUtA3ABli8fxgMPfFTubSIRQnv7IrcoHC6ERpMRlAbILtTZi3uB3nqrGo8++iYGBo7j0KFD\n8Pl88v2Tk5NibBkOh8VJgBg/y0WyA8nf4TSaiY+DILPZLKN6nU6HmZkZZDIZ2Wk0OVmCZLLhgwc3\n0YHZ2Vl8+ctfRUVFJfbuLUdd3RhmZ08gHrfJimKbzSaNVSKRgNVqRU9PT97xkzvu5hFOfWMoFBI+\nL4c35HrkXiBmdpqREzPlcMdkMokqhHRYHne8qPPz82KsSa/osbExkaudOHFCMPOamho4nU6sWrUK\nNTU12LcvDOA69Pfvwfnnn4+//OUvAl3lEu7Jm+DUk1YYKpVKJpRFRUVSWzIThkIhVFRUwOv1ioGP\nokj5M4At8PtP4s03D6O0tBShUAhdXV2yZXhgYEA+HwCMj48hkehHRcVBTE6qceONUSxbVohgMILf\n//7j2LlzD5YuXYIzZ5S6W6/P4ItfPIVwWIWHHlq5QKVVYedON/bts6O9fRpzc6dw8uRJ6Z+4IIDK\nm+rqaikF6XbLppPcHpaFFBwwoZGOzKkyE6BWq0VzczOmpqYQDofR3t6OiYkQ+vou/ODBPT4+LpKs\nvr5eZLPzKC8/jmBwDjqdFpOTk4hEIlILUxZEKZlKpZKBCD2Wc91b2WWXlJSIFzctzyoqKpBKpYQi\nS81j7kYtBjgtykja4RGXu22Nu9TZwZNYlU4rq/+otPZ4PPJ9XFhlNpvR0dGBdDqNZ575KgDgqqsq\nsWTJy8LhnpycFMuC8vJyCTDqA7n2g00xH1ay3ngch8OKkSQbKQ6iSktP4sYbP4u+PmUtCq9XX18f\nMpkMTpw4AaPRiOrqauGtdHR04JVXXpEd8hrNcyguvgh+fxqBQCFCoSDS6Tk0NgbgcFgQiRTht79t\nW1h2BVx//WG8/nozxsa00GgyWLpUWf3NPUMA5HTNpVOwUaSwJBwOy7o+KnTKy8vBjRpMVrmuW263\nW7K4x+OBzWbD+eefjxMnTsDlcmHjxuexZs0z+O1v3z12/4EJpQlTU1MyGRwYGJAmIRerZtCRjspG\nMfcIBiB7bliPMpslEgnU1NRIqcEnmT9/0bZALRyQ3MBh3U1EhE2Lz+eTYKe7FQc5pLam02mYzWYE\nAgHMzMzIjQIUbDqRSIgVgbISXGloX3utXgzhx8fHReunUqlkKMETan5+HpWVldIM19fXS9lEy+ay\nsjK0tbVh69atuOSSS9DV1YW6ujpotVpZhpVMJuF2u2U4xZItGAyipqYGWq0WfX19cLvdaGhowPr1\n67FmzRoUFhYK+qSQ0ML4z//8FWZmXCgpScLhUH5+eXkMFRVRXH/9OWzdOorHHtuCujovVqwI4uab\ne3DRRftx6NAhDA4OCpLFTMsBF5ERKnKozmFzX1ZWhk2bNuG8886TUq2goACpVEq2RE9NTYkImD4s\nExMTcDgc2LRpk6iumpqa3jN2/4EJpUs6WWbIggJl/XVlZaU0gblGk9lsNm9JJocvbOo4viaWTFIM\nRbmzs7PinMQLxSFOVVUVZmdnJYgJ9PP3sBRgHU67LTabVqs1b7MZSwBmbjo7WSwWFBUVYWBgAJs3\nb8bc3By8Xi/s9hr8938/hS984dPw+3WYm6tFJPIm0um0EL845ufvo+Kbq0mox2T9TfepwsJCNDY2\noqamBm53AB7Ptbj66pMAuEPTgNpa5fOQ8z02NoaCggIcPXoUdXV16O3tRVdXF/x+v7hj6XQ6NC5s\nSvb5fIhEIojFYmhtbYXBYMHx40vAutrjMcDjMcBiieJf/uUvWLlyFd54w45w2IRrrz2Gxx77I4LB\nILRaraxeZPPHh5ibLXgyZjIZ4RJVVFRgx44dSKfT2LdvH/R6vSyBLSkpka0LWq0WTU1NMrNg7HHI\n09LSApPJhImJiQ8e3Dxq6EFBwj8HKADk6MjdRkaeMzFpZStBXAxycimnxDeZMfkkA5CGjheJXHBa\nPhARYZ2eK3DIJcezzKBJprL3PCE3nFvCiKCwQaWtMTc2fO1rl2P9+jjq6gKYmSlBT89f4ff7hfTD\nkoSqEV4fZmyfz4e6ujpRqlit1jzxxrFjxxbeown796+AXq/UrR5PEnv3tuCnP+1BWVkfSktLBaHx\ner1oamrC1NQUqqqq4HQ6YbVa4fV6MTQ0hOrqalRUVODw4cMwGo04efIkGhoa4PF4EItFUVnpgcu1\nOJm87bbTWLPmCKanvaipCWN+vgmnTtlEtUQqcS5nB4B4Mmo0GtTU1IgXODnaAFBeXi6CEkK8jCOW\nLACkmWxtbUUsFhPjpt7eQvj9hfjc5z6Cw4cPy8/9QMFdWVkpF57TPmZSHkc0xeH0kTRGHv/EeCk7\nslgsAgMRMqNiOndbLjFOWjvkPgj0aCYzjEgKADkNeNSxVKILbCKREJ6J0+mUXTsc5PB3u1wuVFZW\nwu/3Y9WqVZibm8M99xxAWZkaBkMh+vv74XbPw+GISqPc3t6OqakpgTjJkaGtcTarGO1zwwDLJEA5\nXRobGxGPx2G3Kztzjh5txK239qC5OYXy8hMoKvJjZiYuFAeeTLQL1uv1aG1tlQetqKgIXV1dOHfu\nHJYuXYqRkZGFk02NaDQLk8kIqzUD14IO4c47h7B69TBmZ9VIJJbh8cdXw2qdw8MP/xJHjvTJwIt0\nVE6FuSmB9z4YDOZNh5nwOjs7hddvs9nQ3d0tm+eYlMrLy8VklaVHXV0dEokEHI4KTE83IZFQiGkD\nAwPvGbvvW3OThsoNvBQS8OgHIEHDrzMrE7QPhUJSw7Jh4qSP3TAbS5rPUN3OkXg2m5UaPJfqyovG\nnSsc39NnkAKG3D8JC9J8nZ05J4r8nPX19dDpjBge3o1QKLzgCuvAuXP9eOWVV+Dz+XDy5Enx+qMV\nGyG+xRUjCVHT87MEg0HxIqHqfvny5WhubsaGDRswNDSJrq4e3HLLk8hkQohGE9i9ex5vv12EN95Y\nDputE5nMKoE9BwcHsWzZMmzYsAHLli0T6LG2tlY0okRnSkoqcObMddi//5Oora3FFVe8ACrf77tv\nCR5/fPkCISoJq1WFnTunYLVacerUKczOzgobk1NinpDUS9rtCh2A3J94PL4Ave7EiRNXoampCUaj\nEWNjY2KLR7AAAAKBAKanp5HJZFBXV4fKykqxjq6vPwyL5XV86lO7sXLlalRVVb1n7L5v5rbZbEJc\n4o0g/MMGgvUUBzHAoiaS0ysKAhjgLC94LDGjcmhDZXpucGi1WkQiEZSXl4t1L38XAMmMLCuKi4ul\no6d6g904m0jq+3gjyEXmgxMIFOHo0U/h6qt/Kc3YmTNn8gYzuQb4udk0F7+mDXIsFhNeCk819g25\nS5FSqRvwyCPrFj5XFrkSwcbGIJ591ohUSrl9ivlOGDbbMB59dDkuvvh1NDQ0CKpAyM1kMmHdunU4\nd24XJicr8KlPOXHffVfi5pt/C+LYV1zhwgUXjGBsbApr147C6WyF12tBINAjvjHM3GzGCeXSxo4Q\nZTKZFAZlIKDG4cP/hSVLoigomEBdXR36+vrg8XgkEdF5iv0Ie7v16zcglUqitLQURUVFGBoaRWmp\nDy++aMf27avfM3bfN3OTzETEAVCybUlJiQhjuY2Xk0GKWHkk8fil/SyDkuN41uUMLIpKyUUgNszM\n6vf7Rba2aBM8Lz+PGZ71Nzv5XJw71w+D7qH8mWz+JicnodG4ccMNn0U2G5KjWKvVYtWqVVCr1QKL\nVVdXS3lEYheRBBLEiCIBEPsJQp/j4+M4ffo0enp6Fqaui7TTv9W+OhxmCeyCgnnE4zE89dQajI7a\n4XYXo67OiuHhYej1ejgcDsni7e3tSKfTqKx8Etu3fxsPPdSJM2fMqK6uwkUX/R4aTQYXXvgaNJpx\ngSc3bDiEjo49GBsbk89Hm2hi13yRf80BGifJSmyUoaJiFrff/ic4nU689dZbglbRAYyISkFBAWZm\nZlBZWYmysipce+0nUVjYgoqKioX7nYLfb8FDD63BxMTy94zd91W/X3zxxe/QHJLdRyiKG3JVKlWe\nYpluQyw3ONZmHcuSIJlMwmazCb+D3iG5wl/ip7QvJgxF/HN2dlZqQAqCeXTyYYrFYiI8ZekyOzsr\nmZ7KfA6i6Eiq0+nE0H758uVIpVLo7u7G4OBg3kSUDMjx8XFs2bIFBw8eFKirpaUF/f39Iox1u90w\nmUwytDKZTFi/fj1efvlloXuGQiGUlCzHk09+FdmsBgZDCnp9HJOTdnz96y9jbm4G9fUJOBz9aGxs\nBpCRsu/111fA5VqOG298Fl6vF5WVlWICPz09jXA4jPr6BtTW1qCmpgavdsKwmQAAIABJREFUvfYa\nZmdnsWLFCoyNjaGiogKTk5NCSzAYDOjp6cHExIRYEnNuodPp5HOpVCosW7YM/f398Hg8MJvNyGQy\n6Os7imxWj927Xfjc547gwIEDOHz4sJy0iUQCZWVl0t/RyHTDhg1Qq7ejs3NWpssDAwP45S8fBgB0\ndXnQ22t/V/X7+wb3li1b8tZv8MazTgYgBBq6jZJCytqMWZIsPGZLjtgJ81BEyxo219WTAU2hAs3d\niZPTxpjSf2KkzOq5bEGuneACUE5TufKbWDpdR+vq6mAwGOD3+7Fz504888wzUloYjUaMj4+joqIi\nz0/cbrfD5/OhsrISvb29YpNcXFwsuLTdbpcHsampKQ9e5YNZV1eH7u5ulJWVCRLF2pmJwmKxwG63\nSy8SiUTQ2NgOr7cQPt9xCViv1wuLxYK+vj5oNBoMDAzg4osvFr5HR0cHhoaGMDExITbPGo2ysfeF\nF14QhIPlHxt9irw5HSa9l2WZSqWC230fpqcvgtGYwYMPvgmTyYXf/va30kM1NTWJWb3ZbMb4+Dj0\nej0aGxvR0dEBu30J5uZm4fF4EAwGMTg4iCef/A2qqsKYnLR9MGsHyoDY0CUSCXi9XrH9pdA2txFk\nKUAIkVmdtVlBgbLCjQJboh5UizOjE4Ljn9lsVjIEoJRHhNLI8+XX5+fn4ff7JaMSriSCkc1m5e9Z\ntrCMIfbMAQwZiUuWLMGf//xnccMiq5AwpsFggNlslt9dVlaGnp4eBAIBBAIBbN26Fel0GhUVFSgt\nLUVlZaWUcG+//bYgQMTw6bpUWloKv9+/sA7EjJGREXR3dyMcDiMajaK3txdTU1NIJpMYHh5e4MpM\nobERaGtrE3QimUxKE6dSqfDRj35GRCGrVq3C4cOHZdK7adMmmUN4PB7s3LlTmjfu1cw9BSkFZLOc\nS/UtLCxEJKL4FkajGgwNNcJisWDLli3i0T00NISqqiqsW7cOBQUFsu3N5/Phl7+8Ah//+KXQaGrQ\n2dkpmsqLL/46pqYs7xm77xvcFMECkAxJdIIcDo6QOWjhaFalUsmUSjliS0S6T84FFRUc3TPQWHvl\nMglzJ5NsaviAEFbkfkp+P98b7SC4BYKjb5/PJ6QnwoOEBRmkRUVFQuFtamoSGC/X7crv92N8fBw6\nnU5q0WAwiPr6etTV1UGtVuPgwYPyMHNcT2HzmjVrkE6npdHmMqh0Oi0b0pLJpMiz2tra5DOtXbtW\nkAuuG6moqJB1LA6HQ7akbdq0CWazGUuX7sJXvnIT9HpFfc+BzOnTp6Wh93g8yGazqKqqEnWSTqdD\nZ2enCKkpJqGML51Oo7q6WibLTCzh8CLBaWRk0arDZrOJxVo6nYbL5ZL+jdfCYIhBrc7gxz/ukljc\nsmULVq7U4t2caP/h4Gb3SriPqAhvPtENSn5yjyciApwUEgvnMIj/lipp7i0kUYjlCpEZihiIZLA5\nLSoqkjKEDxnN6VlisCRiUwwoo/Xq6mqBBFmn01cDUGDOsbExhMNheL1eoazS0ouDDPK8Z2ZmEI8r\nq7xdLpfAWx6PB+Xl5SgvL0dlZSWWLVsGnU6HhoYGeTgrKiqwfft2QQ0KCwsRDofR0tIiNShPluHh\nYWnEY7GYrLQzm815Kwa1WmU9OBdVsdZXqUbxpS99G2+99Tq6urpw8uRJ4bLY7Xa4XC4Eg0FMTU3J\nNe7q6kJxcTGGh4fFUoFZO/fa8t/TjkOtVqOr6+dy3V95xQyDoVT2GOXaetjtdqEJkIh1+HArjMY5\nHDliwze+cR5efnkNWlpaUFJSjIcf/v0HD242YXxCaQtMZCIXjmN9S6iQWY12s6zZCbVRqRONRvMs\ntDjV4sPCoQ3VGLnr+lhjU/GTWzLwIaD9Frt4Zu/caSZ/F0fIZLSRfpDJZOD1esUkX8GLF7nm3Ajh\n8/mElMW6PpvNoqWlBdFoVL6XC1xjsRhqa2sRDoexfPlyIUldeumlWLNmDXbs2IHaWmW1IZvclpYW\nbNq0CbW1tQiFQjh9+jRqamryhLZjY2NS0jELk146Pj6OU6dOoaZGh9LSUvT19QkVgaKTqqoqJJNJ\nXHnllZiens67xxywEF4lFAsoiMno6KggbNSyzs0t/huvtwi7dl2ArVu3QaPRoLW1FRqNBk1NTYhG\no7Db7XISzM0tAwCEwwoH/fRpC558cgXKysqxZMkSxOPvLbT4h8oSIiVcRsRAoSMQuSTMoLTJMplM\nQq4iXzdXDsY6nJtvAaChoUGMy3nUsh7nE873kPt3bEx4pOXWg7mkq1z7W6PRKDxxZkDW7rRPJj2T\nmZ2nFp1I+fPZDBOfJafZ6XSKeJbciomJCYHnstksBgcHpTlmg8iHgqT+hoYGLFmyBFarFXa7HWaz\nGaOjo8hkMgiHw5ieVpToMzMz6OnpEfSJNf7y5csFbuUk88iRI5IoZmdnxThpdnYWx44dQ2dnJ6xW\n64I0LoaZmRm5PqRbMLlxGJdLdistLRWVjdms9F42G3fUhxAMBrBmzRoUFRVh27ZtMJvNqKqqwvT0\ntJRmWu0g/tZa+aqrpuD3LxLGPnBw5zLpeGP5gdhQ0nGJTRCZYYlEAmazWRanMqgZONlsVgTCnBDm\nihpYXxNJYcZfsmQJVCqVTBJZjuQOEsiB4bFJzJ2rJ3KVHi6XS8b0xNUppmhsbJSegAHrdrsRDAbz\nzGf4PisqKgT/LygokJKAQleiCMpqw3ZZ1V1TU5MnsXrttdcwOTmJsbExqNVq9Pb2YmhoCP39/Uil\nUjhw4IDwYQKBAE6fPo25uTn4fD5UVVWJQwB3bjL4JyYmoNVqZUSfSimberVaLXbv3o3u7m6MjIwj\nGv0curu3IJXKijjA4/EgHA5LILPn4PyBWD7LEyY8i8UCq/UEAMDnU/7u1KkSHDiwFB6PGW1tSrNZ\nXFwsIIHZbF6or1MwGPJ38ezZU4OPfvQSmEyr5Xvf7fUP4dzBYFAawJmZGVRVVQklkVIxjUYjO21I\nE82FDUkDpWkLMW3yEdiAElpiycGHiMMOBim3DHPEz9qaWZgZmr7QuQ8AsXpmMN4MIhVms1m8MXgK\n8ff7/X5hIYZCIVgsFrFqAyDu/zabTXjgPPKz2SxWrFgh3i11dXUoLi4Wb0ISuLhSgzvnw2FlawGp\nwgpGXS/KJf5bqn+2bNkiSqVMJgOz2Sx1NFeRb9q0SU4ch8MBlUqFs2fPwulMwue7D+PjKwEAf/rT\naWi1E9DpdPjhD38opzdPFN4TlqHcCUotbTKZlBnE8eMvIRZb9DVcsSKMujovrr76dWnYm5ubEQwG\nMTIygpmZGfT19aG39/R7xuhzzz2Pyy+//INDgQCE42E2m4V1xkw6N6cs+GTG5ECEAR0MBt/hIkUk\nI5lUFthThUJ0hFwV1u2kzNLLGYBwEkiM4s9j9mBmmZubE6NL+eA5Sh6S64nGEOUhbMjPEQqFpCyg\n8RD9xo1GIxoaGoSGOzU1Je/dZrNh06ZNaGxsREFBwQKxqhTV1dVYtmwZ/vCHi/DUU9fh2LFL8eST\nX8XevRfjxRcvhdO5DB5PE+bmqlBVVYW2tjZMTEwICzGdTgs7kOtR2tvbkUqlcexYlUC4AwMDmJyc\nFIzdZrOJJJD3Z//+/XC7izAy8rAEtlo9D5frEMLhMPbv349kMonKyso8JiB5OSSOAcoSXZaJVNxk\ns1ls3nw4L7Z6eorxwgtL4PW2Y25uTuKnqqoKOp0O586dQ319PdrafgkAuOqq2RwTTqC6Ooq77trw\nnrH7vtwSMuxYjxICZFYhrMfswfKB9TUzs0ajkaEMqY65QwDyPDiOT6WUNdccsnA4wEyaq6JnA0q8\nmftu2ADzISVxiu89d1BE6weugONJwH9vNBrR3t6OoaEhyfrUSPLh4pCko6MDw8PDcmI0NTXJA9Df\n349Vq9bggQd+gvvvfxpnzyZw4sTaBf5IFYAsBgfp6bcEALB2rR9Waxg6XRw6nREXX6zGqVNH0dbW\nhqNHj2Ljxo1iRunxeFBV1YGnntqNBx6Yw9TUOTQ2NkpAlpeXw+l0So3d39+/kKzsOHHiDgSDS+Te\n/+IXBzE1pWTPkydPorGxEWfOnBEGIE8vPsSAwjNnzUwlVklJyQLk9xiAi/Liq7AwA68XeOmlT+Gj\nHx1CY2MUk5OjAiQozEbFXnnPnvytxk6nEU5nvsPt/1Nwc3+NWq2WEoO8ES5KYmAxaDg44W5vQnLs\nrJmhWQuTTcav0ZGKwcxmkyu1ORHL/V08IlmOlJWVybSUxH4+nMzgdKriQ8hGlM3y7OyseKWkUin0\n9PQIIYvvFYBAoXwP3d3dCIVCsNkUfSlVOs3NzSgrK8PSpe24777H8JWvXI/f/Ob3f0OMUqG9PYGB\nAR0oIDh+3AqAO87b8cILacTj1+MPf/gj1qxZA7vdjoGBNqjVAWzYMIfHHitFNgvcc89OfPnLIbzx\nxl+FzEWD+3PnzsFgMGBychJzcwaMjt6NYHANAKCsLImHH34eXq8Xo6Oj0Gg0WLNmjSxl8vv9Ys1M\ntmggEBCqBK8REx+Ahbh5Z6GQSmnw/e8rbljd3TXo6grinnvS0rynUinU1cXR2/vu8anVZvBeC83+\nIZybb5pZmKUH8VlmLmobOZlixiZzjgMaZkbiyrnyNHbvrMsZ9DwG+TVmff7Hh4c7WIDFI7O0tFSM\neZil+eDmDpwWL/giyYoNa67qhO+Bp5RKpcLw8DDcbrc0xO3t7Vi/fj3i8bhY8A4ODmLJkiWYmZlB\nKDSEu+9+FLfddhWamz151/z888dRXR2A6h1VpPKKx5WclEhoUVtbu2BGWYpsVuGS79rVjy9+8dvY\nufNtJBIhrF+/XnZ0joyMyP05c+YMNBoNzp37NmIxZV2JwZDGffedECChpaUFkUhEhl07duwQuJR4\ndGFhoTSlvL7k+uea/JeUpKHVsjl8916vt9cMo7EMBQUFaG5uXiCxHYVe78aWLf1YvVopSWk1Nzf3\n3tYO7xvcDDbWwMSJqZjJxZs52SN8mDtZLCsrkykkeR5UxScSCRiNRmg0iuE7pVG5HiNkkBEzz+Vw\nM1hzO3hmYTaBnJ7G43GZ+BFtoR0afw4ZfQwCEpsCgYCUXJygARDhBb+HWwSOHDkicCE9NyYnJ6V8\nm53twbZtv8DHPnZcrvePf7wXF17YjZ07J5DNqlBZ+e4LjdasCeDEicUdQNdfP4kdO4ZhsVjg9bqh\n12vQ2anoHLmDZmpqCiMjI3A4HHJ94vEPIRY7T/xKYrEC/PznnSgvL8fMzAxOnTolVODzzz8f5eXl\n0shms1nY7XZUV1ejs7MTa9YomZ8PBmcVfOAB4KKLvrPwCVS4/voZ2UrM5a2Kr4oTyWQStbXKjnuj\n0YjOzv/F4cOd+O//7sOmTXPgbtUtW0IfPLhpGE9DR9a1AGQIQviP2Y6DCAY6yTy54gbipbloBaeR\nXLuhfFi1BHouDEn+NJXsLFM48iVsSTUP2YLs7tl40s+Pwxw2yXyflLjx+1i7c/ScyWRgt9sF+1UE\nxCZ0dXXBZDJBo9FgZmYGfr9fhMtcPxiJRLBs2Qhstl5s3z6CoqIM9u1biUgki8ceW4677/4xfvjD\np/HII7+GyZRAU9M0qqoiALIIhdQ4dWoFTpwoEVEzESsiJ2q1Gg6HAz6fD0eOHIFerxfPxmw2i5GR\n29DdfQ9Wr47htttm5J7rdNPo6elBMplEQ0MDVqxYgVQqBZfLhZdeeknKOYfDgampKeHh+Hw+XHLJ\nJaisrMyLBU4rFc+aI/jMZ74BAGhsnMWJE6aFWKJDmBrPPrseHR0dedx7r1d5cJ54oh1PPDGNkRE/\nysszuOGG9zje/pHgDoVCQophecDxOIOG3njMgBxAkL/BP8vKyoTdx06eZCASbHi8kYfCwOJ+dK4K\nISuOJHcGG0sRli28uPw6uSg8WnP5KKTMAou2bqwrWUKxTOOpwlLLZrPJQ2m32/HSSy/JZHX16tWI\nRqNwOBwYHByU4dLatWvR1tYGtVqN5ua3cNtth3DJJQeRTPrx2c8+gbIyLc6ePYvp6VlEIjpMTZVj\netoEQIUbbxxCJlMIo1FhMh49ehQTExPCVOSgSKPRYN26dWhubhZJllJ/V8Dh+DgqK6NIpVT4+c8r\n5J47HLVi4dzZ2SnziFdeeUX4MpWVlejs7BRXLiI13d3d2LhxIyoqKkS4QlbozMwMrFYrIpFBlJZG\nUVfnx7//exA2W77X4RNP1GHv3sUxfCwWQ339SwDm8cgjZqRSyr3bsCENuz38wYObWRZYlA3Rqpd1\nHHFoohzMDtQ8qtVq8fFQq9Wy8AgAaF5us9nk3yeTSXmYYrEYotEo3G43vF6vGExySSofolyoL3cY\nQpiSvUJu+ZErYM4VP/Nzkl5A+JLQIKkHLpdLyhFOPW02G3p6erBixQoZ0MTjcUxMTIgIQqVSybZd\nqvzfeKMW3d3laGtTPtP27cpp19XVBZUqiV/+8lf4+c//F9/73rMAgKqqebz2Wg1GRlrk4T99+rRQ\nb1evXo1USlnZQWbi/Pw8qqurcfasAW+++QwAoL4+id7e/P3pP/+5orrhvTl+/Dj2798vwl/y2Om+\nRc0j/dUdDgcsFgvWrFmD4uJiMfUnBp5MJlFXN4yXXzbjwQeL4fPl4xqZjBrXXpuVnaXK7tE+AGqs\nWzeJkhLlvj7+eALLl/8TO3FIJld+aUZKA1okcFBgs9lEhsbF9FTVMPjIU2HWJK+kra1NkA06eTL4\nc+tqq9UKrVaLiooKmM1mIVRls1nx9SCaQ++TqqoqGSpxJM+/J6mJECCx71zVPD83h0csfbRabZ6T\nFgARFVutVoyMjGBoaEiU8P/6r/+KVCoFq9UqYumRkRHMz8/jyJEj+MQn9uIjH3lFBklerxdOpxPj\n4+PCVfnTn9px++1X4p57nsP09F7s2DGF5maPmNoQJ04kEhgZGYHRaITH48GpU6eE+6140NwLAPjW\ntyI4etQKtXpxvN3R4YfJlJJ+hZsN9Ho9PvGJT6C9vV12iqrVajQ2NorD1vDwMAoLC1FSUoIbbrgB\niUQC69atQ2NjI2KxmHiZT09Pw2J5En/84zJ8//sn0dCQH6CFhfPYt0852cvLyxdWuijXeHRUscog\nSEDv8w8U3LzpAPKQDroGcSpIVKO0tFT+DetksgfJsyaqwX01bEBSKWUHCgdHueNzsuIASE3PY58n\nBgdA/P1k7zGYk8mkZGaWKAwG0l1ZG7IhZomTi7aQaqDRaOT3MsitVismJiZgsVjQ2toKu92Ouro6\njI6OYvfu3YhGozL6p2SucUHxrtPpxEySzW8wGMSyZcvgdDphtwfx8MN/hV4/hOnpadxyy+soKTkn\nsweNRoPh4WE5uV599VX09/fLurtEIg2H43dwOKpRXJzCdde58Nhj05ifXwwDrbZI+EDnzp3D+Pg4\n5ubmsHnzZmF+cg0h0ZG5uTnZkAAoY/SXXnpJNh80Nzejvb0dFRUVcDgcCyN2pZz48pfX4kc/Gsaq\nVVHZTp1KqZFOl6OxsVH2InENts9nxIkTJtlhxN7sAwU3R+wA8jRuPIoNBgPC4bBI+Tk9JLzH2pdE\ndmZHih1Y5hDNIE+FWkVmJT6lvKDkTvC44+8icYluV/F4HMXFxXlDKGCxGSbRhw8hsXiWK3zIKLQg\nEYijcAB5WkBeH35/X18f3n77bZw7dw4DAwNYt24dzGYzampqUFxcjJaWFrleXAPu9XoxNzcne+j3\n7t2LTGYejz56KYJBxRi/oqJCti6TaJZMKusCed98Ph/sdrs8jP39n8LUlLLg6e67w7jkkgasXq1k\nzYYG5b6dOmVEIlEmKqBYLIauri40NTUhm82it7c3D/ZlVler1WhqasLs7CxOnz6NyclJcW/ldSIm\nr/gh9qO+vgcAUFZWhOuvj+GVV3QwGpUH5M9/VqzXKisrYTabMTw8hNbWJwEAo6NpSUZ/b5vZ+w5x\nCAWazWYJCDp4UvzJUoWcar/fn6f8BiCrO7irndg08XMG+MDAACoqKvJWdLDuZa1vs9mEUWc0GkWP\nyQDkRJNZkhAkAKmfSR8lzm2326WBzUVyCF2ykS0oUJZBsTQhEkAPQjoBcOhDWiyZhmVlZTh58qSc\nLIBiQMPPYTAYxCeQxpyK14sZ99//Y/zhD62oqmpHc7MyWSRKNDU1hZKSEpk+ejweIa8p99AGg2Ez\nAECvT2PXrgRaWhIIhxW0Ymxs8Xi/+urN+MpXKlBQcAI6nU5Yirz+5LNMTU1hdnZWtKjJZBJtbW2Y\nm5uDy+WCVqsVW7xwOIypqSnZoJFKpbB16w8wPv44HnxQg5ISNVpbk2htzeDFF/U4caIY8XjRgki4\nbEGHeTkA4NvfbsONNzpgMpn+ubKE0inSSgGIUjl3OpkL59F6OJPJLDDCrHkqmEAgINmQv4PBR6Zd\nLo7NWtdgMEjQUpRL5hmRC6pFyOwjepAL31FHSdRFq9VK3cj3QfNPihcooSPSwSEU/yP2TzSFyvaC\nggLhcEQiEbjdblx99dUAFHrv0aNHpUk2mUzo6+tDYWEhamtrZcf98uXLhd67desUVqw4g76+Pqmt\nZ2ZmEA6H4fP5MD4+Do/HA7/fj0AggGQyiYqKW6HT3YX+/nro9RnE4wXwehPYtk2PhQow77V0aRTr\n1w/LA86d9g6HA/Pz87BYLDLAoxg8Eolg+/btKC8vFxkdAGniCef6fD5s2LABF154ITQaJWZeeKEe\nBw6Y8PTTbvz610FcdJHy0D/+eCeMRiPKysqg1+tRUfE7AIDdHpehGkvVDxTcAPI8NlhX+f1+lJSU\nQKVSCTGKnT+PZGYsZjXWu9TwcZLIRjTXZqG0tBTNzc0yDACUJZ18yAjn8YFiI8uszZ9LN6Nc48xc\nEQWbFj5MufU3AFkUxUzLrMVmk/Uza25is5FIBKFQCB6PB2NjY1IzJpNJnDhxQliAy5cvRyAQkIe6\noaFBhBCBQAC1tbU4fvw4JicnsX//fqjVI/B6T8qOy5mZGTidTjGz5/rt+Xk1pqdvxu7d/7qwgOpN\nnHfeEcTjGqjVWZSWKvdlcLAA//EfQXzkI4vDkNtvP4KJiW4UFhaiq6sLVVVViMfjGBkZkd+bSqVE\ndURrhsaFrXKUFLIP8Hq9Mq5n+afRaODxKMltbk4NszmDRx4pRjKZwtKlSsDu3BkUC2Sj0YiNG48C\nUJbI8n7lTpb/n4ObaAmDlAw5Br1OpxPSUy4UxyOdNTa/NxKJiJEiSU7EM8vLy4U+q9fr0dnZid27\nd4sAmXh27rg8FosJk49lD6mtLBc4UWSTSE0lkRwqTXJRGp4yuSgJBcoUSDB78//r9XpxrqWFL7k1\nZ8+eRVFREYaHh3H27FmhvQ4ODooQt7i4GJOTkxgZGcGhQ4ewatUqnDp1CjqdDoODgwiFQjh48CDO\nnj0Lj8eDyclJ2VY8NTUlnuQKAKDB+PhN+P9Je8/AKKv0//uTaZnMTGYySSY9hHRCVEIVRYooqIi6\nrgoiYte1r3XV/dnXVZS1V9ayFCsqirKACIoUMfSakBDS+ySTMr0/L+6ck2TV1f8+95tdSWYyc9/X\nOecq3/LQQ1cwe7abcPgYBsOgA3A4rMwomptV7N8f4YsvBg1YFy2aSXp6JhMmTMBms1FXVydTJgFo\nE6diSkqKTM8E9qSzs1NuesXFxfIki0QiZGVlsW/fPrZu3UpCQohzz72A/PxnOHIkwiuvWPB4vOTl\nKcfJI4/ksX59isS6B4PCHkYlC3yx2f7S9btybtHCEoB7sZKEOLwIMjHSFR0Tj8cjC0txlIugHCpk\nCQxTdhV5bHt7O6NHj+eMMy7m008biYt7nmg0IknLIm0YWiiKNEHkY0OVZsUgRqQQQ7UNxY4rFqXQ\nER9KGhZCjyL1EZNZAc0V6ZLousTExEibbJVKxaFDh6Ribm9vL11dXbjdbkwmEzU1NVJOQTBexN8R\nxVlXV5fM+UXLraenR2LVExISmDdvHg6Hg2+//Zbi4hvo6TmHd965Ccikt3fQs1Fp5faxd28imzb9\nPG91uWJxuRRNmKNHj0rpDmVxRAYcH5TTOSsriwkTJtDe3i6fdXd3tzytioqKhlHc+vr6OOWUUzh4\n8KDskatUHj77rAmI4a67lKK4q0vL4sXFbNnSMbARVZOQ0IzTmUowGKKtrY3MzMz/PbhF3ixWpeiQ\niPRCcBhFhwAGi0dxtIrOhsCaiFadTqejq6uLpKQk6ek4atQo7Ha7DNTXX39t4JOMo7S0nZSUVRKU\nI6C4oggTR5jP58PhcGCz2YbtZiIHFlINQjdFYFsEpkR8b7PZTCgUwuFwSKcDwcsUtt6ieyJyfmHz\nJ1IVr9dLcnKy7LOLglssDICamhpJnROE3EgkQmNjo1xQWq0Wi8UiSbVqtWLxDRAXF0deXh7Hjx/n\nyy+/JC7ORF/fTTQ2XkJBgYr58zX8+99a7PYg3d1+5s3rQKOJJz4+nkWL3Kxd+/PgHjlyLA0N37Jr\n1y5pIT5y5Eja29ux2WxSkeu0007j5JNPlniTffv2MWLECJKTk6WEx1DR0szMTMxmM/v376esrIz9\n+8NUVj7Iu+8e5/TTE3A6fWRnh2lqUgExzJ7tkKa3sbGx5OYG2L9fS2OjjdJSmyzKf+n6Xa1A8dBF\nq22oA4AoDIWcQUpKiiTSCl1B0aYSqYtoowm1U/GwbDYbjY2NwyQeFiy4HZNJ6WUePXozR458jk6X\nLGEBgrCs1WqlxJcoxAQDROTxQxk+wptdcCiFbrUIrKGtvaG5vAhg0SES+beYXooFLlIum80mibKi\nhSrAXS6XS97Hoa1VvV4vFwgoPFahZSJOKofDIZ+LIkjvJRC4iqam5ezfv4JQaC6LF0eYOVPHc8/F\nkZ1dSXr62cTFfUpr6yBBY9myn7sFm80hQqEauroUB4cTJxRAViAQoLS0lGg0ytSps5kyZQr5+fnU\n1NSwZcsWaRGTnp6OTqc4Poi6LCUlRQp/Njc3k5WVxdatYQ4ffpoyVDnlAAAgAElEQVRzz63i449T\nBmYXZhnYABs3JjFixCmMGDGC1NRUamuVDeGVV5TTT7QZ/6fgFmwVcVOFfFZ/f7/MeyKRiCTROhwO\nqfUn/k08TIfDIYcmImh6enokoGcoAH4QPtrJRRfdwHPPfQ2A3W5l+/bVZGfPlW0/kWIIjQxxqgh7\nQJF+iGGPyWSSarUi9xcdlkAgIIdPos4QqYpYKGI3Fd0XgZ0RJ5NgFUUiEdk2FKmL2HnNZjMZGRno\n9XoZzOKINpvN9PX1DbPZEIMkcQJEo1GSkpJkB+n48Tc5ceJBGhvz6e5O4YYbDNx9dzLV1XbGjbuZ\n2tprcTp7aW+/lunT1XKKvGCBEgJD9T/6+zWsXFkip4CdnZ0cP35c2vJZLAXcffefOO+8uVRUVMi2\noBi3i0U5btw4HA4HCQkJ2O122tvbqaurY+TIPLZufYSqqnfJyjLQ3p7Nt99aBmASfr76ajhe5Lrr\nLJJoMWnSTwCUl2fj9fpkWvw/BbeYwAGyuBI5quhEiNxXdD8EzkQUh319fQSDQUkzE6mDSCmEJZ/I\nI0XeLkyfvF4vR49+zv33P8jixVsIhzV8//2LpKWly9NAHE9DNQKFlohIIYbutiK/Fzn50LRFtAlj\nY2MlG0j0wAVjRxQzgqUtFhgoHRnR3xYdJjHNHCrhZrfbhxXnYsorKGPCzVgUxQL0NbTNqUBK5+Jy\npZGRMXhE/9//WYAoZWUanM698jUxMX4mTw4MTGdh+vRennuuE6t1eGE2b96JYRIZY8eOlSKhOl0f\nL7/8JsePHyM+Pp4DBw5QWloqF6FWq6WwsFDes+rqalpaWunvn8nhw2vYu/cvdHePBaKkpvo5cMDA\n6tU7ZQwZjX4uv3ywe3P4sG3g9Izy7bcXAlBW5qK0tIQvvviFXubvDe6hICQhmyAmVKItJh6eYNQI\nazXRohMY7KGq/GL0LQJTTEHD4bDsX4uxuTgdWlqa+PHHF5k+/Toslm62bPkQrXYJanWiDCIx/RSf\nRzB1AFlIis8rAlMUtoI8rNVq5TRU1A5iEiZSG7FIxHh+qDOaEPURadLQemTo6F7MAoLBoByQiBmC\nOF1E8CtFKgSD8TgcM4iJeZC2tsUUFi7h6NFbeeMNF21tevnc9u+vYf36LlasSKOgoHhgJqEhGo2l\nqSlEb2+E1NRk9u8P8/33Bux27TB+4hNPnCS1UkR7sqamhg0bRvCPfyxh5crzyczMpKWlhbKysmGN\nAafTyc6dOzl69ChtbV10dc2ksnIZ+/Y9gstlY9o0M9dddztz5swlL08R63nzzUK5iZxySgyvvRbG\nYlEW3LhxrgHMjhmbTcEDRaPKQh4/vud/D25BIwIkms/v98uRt1htAtchsCFDtbwFXUy0kkRxKWCr\n4kGK9xbdkqEFVmNjo6RzFRSouOuurfT26ikvn0lr60d4PMVyEYhUQUBkxd8VaQQgVWKFPnZ2djYn\nnXQSRqOR+Ph4xo4dS3FxsSRAC3FNQL5OQIAFJEC0GYXGihgyiB64WHDiPUXXIScnh9tuu42zzjpL\nFo2i6FbajFq6um6nuno3J058h1b7KAkJF2O3n8eHH04nFDJz/fWpPPus4g/z8ssdpKYaKSsLY7PB\naac9MPA8lAXW1paA0Rhm48Z+xo5Vk56uBOZQQ1WLRaklhCTzd999R2dnAbt33wBAS0uq9N3JzMzE\nZDJRVVVFbGwsaWlpdHQkcuDAo2zatI7vvvsTra2ZJCUFuOaax+ns/DNtbbUDjQmFH+nxhCV9T6VS\n0dwc4fzzlQ1v3z4TZnMCsbFq7Halnjp40Mb8+V1kZSX/auz+ZrdEmDB5PB6Sk5NlQdXd3S0HIYAs\nhoY+FPH6xMREyX8UgScCWLzGZDINI+aaTCZcLpc0TBItuTlz5nDkSBNPPHExADpdlOnTI6xc+R6j\nR39NXNxiDAad7HoISTJRpCracwZZ5IrjWvSrk5KSSE9PlztsaWmpBAe1tbXJQlij0VBUVERDQ4Pc\n3UWaMpTRI7AegrUkWCtCqfWUU05h82bFIez48ePDOjhKb11Nff3zZGUV8emnPeTnwyuvGFi61MDZ\nZx+ju/sjDh9+mFBIi0qlpqGhcWBolUo4HOaCCzzs2lUoW7cZGU/z6qsXcuWVKYwZ4+Pzz3V0dg4P\ng9RUF2eeWcGRIz3ExY3B7d5PUVER//ynEtizZlWzcOFuurq66e3t5dixY1itVqzWEurqLuDLL80c\nOHCSfL+8PC8LFrzFrl3r6e9XxvECN9PVVQiAzRYjoR4mk4nDhw1s3Toofff55xOZOPELzj23nA0b\nFBjB2WfbCYWs/Nr1m7olkyZNQqtV3Lbsdjtms1kqK4m0QxB+BV9RyG0JoL8YLYuCTozXBftcTCwt\nFsvANE3pfGRmZsqhiujWnHLKKZhMM/jb3y6Un/P225vp6Ihj3z4jLS1aCgpewmpdI33dBVRA5MUO\nh0PqXwvVqYyMDMnSFnDRadOmSdWkzZs3U1xcTHNzswxY0QZtaWmht7eX0tJSUlJSiEajNDU1MXHi\nRDQaDVarlR07dsgOjGhVHj9+XMIHBChraD6tUPtm0dt7F4cPx5KUFM/mzS7+9KdEFix4mR9++AiX\n6xyqqv5OUZGbl1/upKxsELuj1Wqx29WMH2/gz39exoYNbxEKaTh2bAX33KPiz3+Op7paw0MPxbJt\nm5K6KeN5NSed1EJPj5qWljQWLz5KSckJHnlkEomJPubP38CaNWsoKSmhoaGVysoFeL0Tqa/PkM9E\nr49y111HCAQ20tRUTjQaJTMzU8rJ+f1+SktL2bUrg9WrFwFw4kSthO4qcRXGZlO6aePH97F3r4Wz\nzmpg8+YcVKoIkYiKV1/t5o47kn9Rt+Q3d27RrLfb7bLlJ+hUoogTO6AY8Iid2ev1SvCSGMmKXU3k\noiaTidjYWNra2iRASojWC/CNQAHm5uZis9lwOo8yb14Wq1aN4+uvGykpCWEwqPF6+/jiCyOPPXYP\nwSAYDB/IzocIxkgkInHcIrCFnp2ggyUlJeF2u6msrKSzs5MzzzwTs9lMU1OTFGE3GAyMGDFCpj2R\nSIRjx45RXFzMtm3bmDFjBgaDgd7eXrZs2SKRftFolMbGRql9KE5CgZ0RharSI47S07OIq6/2otFo\n8Xi8vPCCmeuvd/PFF/9Cry+gqekh/vznBm65ZRB2IASAYmNjSUjwceutWjZuXEhBwRaqqo6SlXUf\nzz67AqfTzX33BZk+Xc22bcrz/vOfd/Hqq2VUVqZhs/Uze3YTBw5ESErq5uqrP8Tj8bBtmw2t9k5W\nrTqDlpbhqLzY2BAPP3wIne57VKoodrudMWPG4HK56O3tpb6+nlGjRkkB0unTe1m9WnntihURbrnF\nKAFwx48PFsgnn9zHLbfsYtOmFCBHwnTHjKn+1dj9zZ171qxZRCIx9PcnMW1aJkeOHEatVstmviAq\ndHd3S7FFgdsW+a/orgByiCLyX/FaIY0gkIRDmfSid93Z2cno0aOZNu0BXn+9kKoqCxZLhKKiICUl\nLkpLob5ezdq1JpqaNIwZ8xoGw4eSjS12RRHoIiUSchCio5GZmSlTD/G3RQFsMpmkSKTVauXw4cPY\nbDZZyNpsNvr6+jhy5AiRSITCwkKOHDki07ehKEKhpRiNRklOnkBFxS0YjXno9YcJBFTY7ZNZsCDC\ns89GiIkJ8/XXOp55xsDChUv4+ONv6el5m2g0k61b7RgMSJc4UVgLfLnbHWDiRAsORwyzZj1GY+M6\n/P50GhsfJz6+hNNPDzBqVAzLlhlpbtYObGo+Cgvb6OszUV2dhNEYwGLx4nLF0ds7WLhmZXlpbo7j\n2mvfJyXlKNnZWXIyLdqgoinR399PY2MjbW1tjBgxArN5Aj/9NItAIIOKikTmzHHz+uuKW7TRaGTv\nXjOLFmlxOJTN6YsvNnH55TMk3xJg9+69TJw44Rd37t8M7iuuWMaOHX+koSGelJRexo5dQDAYkLYg\nMMj+FsExlNAgyASJiYmypZWQkCDlx7RaLT09PVJXWiDrgsGgBDyJzoQIzL6+FHp7X+LEiVRGj95L\nKFRFXJyZcDgbtbofn89IVdU4DIYAHo8Om82NyVSLXv8dBsMHGAwKNLetrY2cnBz6+vqkw4MoBgEp\n9yY0VETNoFarZdolhCWHesGI00cAsaJRReheiGoqxWwK/f2l+HylBAIzCYVSmTs3zLRpAZxOBWQ2\ne3aQvDxlk2huVnP22fHcffdeVq26k46OfxIXl4nBYGTt2i4MBp1MR4Z2twC6ujSsXBng739X0qkH\nH3ySzZvXAira27NQq2+kpWUG55/vY/ToMFlZAf7xDxvBYJSODjWBwC+DkxITQzzyyGusWrWKpKQk\nysrKcLlc5OXlUV1dTXFxsRQC7e7uJhgMUldXJ92Yk5Jm8uKLs+nvV1qoEyc6+fRTpS/u8/l44QUT\nb7wRh8ulIi/Pw4sv/sD77yfR0KBj164yANau3crcudP/t+AW+hILF7r44AMTkyffTHx8rRxwxMfH\nD3uoQ5GDgjomSAlioihgqyJPF4SHhIQEWQiK9xOFkIDXxsRkUl6unGPTplUQjd4s/5boVSstpbns\n3fsQixd3k58foqcnjn/+M5YTJ6IkJjah1Tah0dTS23s26embUak+w2KJSLkxUFKnc845h46ODvLz\n89myZQuRSIS2tjYCgYCkzYm+/VAveiFVMX78eH744YeB76Snr+9sOjuvQ61OYdy4IBMmwJlnhhg/\nPkhMzHCveFGk+v1w8cXxnHRSJzU1Czl8+G84HFNZubKRadOQBGbRpvT7/fh8US6+2Mojj3i59NLh\nSk0XX9zI7NnrqKio4OjRo3R1dQFpdHVdiFo9ndjYdGpqBs1LR41yMnbsOioqthAbayASuYw9eyZj\nMIS4667H2LBhA9OnT6eiooK0tDTmzp1LR0cHzc3NcvQuuilpaWm0t7dLBbHS0knceutVABQVudm8\neZBfm56eJj9DfHyQNWu209rq5sor55KY6MLhMDFlSh87diT8bzl3R0cfhw9HOHECPvgADIZkNJrG\nn+mOiImgQOQJFrwASA1llzudTrmTC1ikmH6p1WqZuwugu8B9aLWTqal5liuvdLFzpx6fbxcqVVD2\nqMWEUaVSkZj4A4WFc3jwQUX3rrQ0yMyZfqZPB50uDbs9g66u0/jqKz1G40KCwfnodBdLERqfz8eY\nMWPo6emhtbVVkho6OztlHSBSDJ1OR0pKigx4QAKiNm3aRExMCc3N19LfP5UpU4I8+WSQc87pJxqN\nyA5OOByDSqWVwS0WqUql4r33YtHpgsTFLcHj8eFwTOWWW1qZMUM1rBcvaiKdTkdTkw+tVk1cnIOC\nAhM1NbqBQHXwxRcjuPzyRBITE5k6dSqNjY20tLSQn/8d4XA/CQlmGhtvJjnZTWurmSefrODVV18n\nPd1IRsZEVq5UZBbeeOMob765WdZEVquVpKQkqqursVgsUh03Ly+PEydO0N/fT09PD9OnT5eSdHv3\nDtLELBaXLKpDoRA33+zhrbeU7CAUiuGTT7KZPn03mZm90i5kxw7Lr8bubwa3Thdl714NDzwgSMLK\nESKk0kQPWyhQiRabGNoIzqH4PUEWcDgcEtshhipC+kykM0LKDSAu7jwOHPgrDzzgZ9myOIzG9YRC\nr6HTDbogiDajQitzkZb2F9LT01CpWolEZlFePpb+/iI6OtJRqWJ46SUvy5YpXMaFC8309z9BS8ty\nUlMVbendu3djMpno6OiQo/HU1FScTieZmZk0NjbKfF4UcYKtpMBsE2lp+TNe77ncfz/Mm+ciLU1D\nNKpATjUarZx6RqNRef/ESahS6aipCfP883puvvlzNm36kb6+twcWqxeTKUnqGA6O6L1UVVm49NJ0\n3G4V559fMOx5lpbaefjhjdTVKW4RJ06cQKfTkZ+fj0aTwKuvPgQo+JJIxMBTTzn44INnAEhOHs17\n7z0JQHZ2mIaGNcPavoWFo9m0aRYzZlRiNKrQaLzDMDJarVYaOykozhi2b79Zfja320Qo5MLlipCc\nbOL++928+66eYFCF16th6dICLr+8mfnz9/HCCzN/K3R/O7h7enrYulVxhLVYQuzZczczZvwoW3xi\nVC2oaCIXFSg2AYN1uVwkJSUNU3kVMg4JCQkSby3G5263m66urgGc8Fjq6h7k8cfdvP66GZVqGTrd\nUnS6WNmfFkGVkJBAb28vp546maVLlenX6NFfYjQ+TTD4EampFhITg6Sl3ciiRdcwaZKHXbssfPll\nD8uXj2fz5lMJBsHrVSC0NpuH0tLjpKR0UV29ic5OPTCWmposQiEDer0Pi+VRPJ7jciyvjMRHUV39\nHHPm6HnySRfJyQrtDjSSgicGVYKCJuoUARV49NEIr75qZdGiRiorP8JmS+Xw4RJOP72bGTNCcoMY\nSsnLyxs57PnFxgbx+5UT4fXX/83GjRYgTGNjIzU1NXg8HqZNm4bZfAqvvTaTyZM7WLQohscfT+aO\nO2rZvPlPhEIhZs6cyeLF9wOQmxvm9ts7WbduK0IsVDHHKmDnzsn4fHnMmFHP5MmKTqJoKgh4hQDZ\nRaNRsrNbsNtTcDj0VFQYef55LRUVycyc6eLECQPB4OCcMTExwJo1Znbv/nXX4KHXb04oU1NTWbjQ\nxz//2cW55wbx+bSyVyvyu8zMTEkk1mg00nRVTJtaW1tlv3ho10TIlAkssvC0FOpUilLo5TQ1/YM7\n73Ty1lsWDIZPyMlR6Eaio+FyueR4XOR3eXm5TJr0LwC02nQpcSbG+s3Nb1JSsolduwxYrS6uusrA\n7t0q5s1Tiipx3X03pKeP5JtvprNjxzMcP/4Yx49fSEPDOFpaRnHiRBlnnXW9zLWVVCqZhoaXefrp\nKC+/7MVmQ8IQhNyFCOChUhPigYPy+1u2KEey0biEUCjCunVfEwqpaWoycOxY8gBOJURzs46VK40k\nJw/myeLy+7XExER4/fU3qKraSEbGh2zdupWDBw8OvH4eR4+ex5NP/oE5c0Lcemscjz2WzN137+G7\n726mt7cXi8XC6tVp+P1GJk7sob09hnHjTshC3GQykZ2dTUmJmWeeWcwtt6whEvlQQicEnmbkyJHs\n3btXnnLl5ZcRDKqYPv24/Lzz54d4+eUG7rtPSyikxmIRUslRHA4NL700jrw89+8K7t8sKJ1OJ05n\nFJ/Pyf33x1Jd7cRiWSR5hT09PVLAReApRPGo1WqloarJZKK7u1vqiYhiTDxY0VkQOO3GRj39/Q+g\n0Uxg/nw/S5fqyc5+k7S0r+ju7pY0M9EdELm50+mUFnhCvEfUBsJTR0wpxc6p7D5hurrGYjJNJRzu\nx+u1kJhYTEdHAa2tyhSstLQNjaaXpKTjdHauQaNxYDT2otFEJSkBVFRXL+e221K5556wDGqBjhRc\nzaF+mEPVBeLi4ujp6WHfPivXXGPkr3/dy8aND2EwXMjXX9857PlcdFE3Z5yh4f77zQiIKEBamodH\nH91BfX0czz13Bg8/XI/b/YoUn3e73ZSWlqLTmXjxxb+j0URZtqyZYNDIvfcm8eijO/n00wck3c/v\nj2Xt2vcIhzWceaabwkIP4fBDHD9+XNYaOp2OCy5QCLwajYbq6mry8/Npb28nNTUVu93ODz/8QGxs\nLGPGjBnQe7Tidsfz4IOXyc++fv0ORo3KYckSAy6XjhUrTAM/URRvr7rqICtWjPnPSP3fCspRo2Jp\nadECys6Yl9eN2axM/QTDWoCfBLFBHK2hUEjm1ILBIuxBxGRz6LGsiMhkUF9/FT09Z3DbbX6Sklws\nWRJPZubtWCxH6O31S+a64CqKoBACmu3t7fIkEC4JopOTlJQkrULEyaL0YqMkJe0lENhJQoKJuDil\nW5GQoCI720NnZw+RiBq93ozd7kGlisFojJeUOYE96ey8gpSUFG66yUU4rBvAiquw271kZDiJiUHy\nCg0GKw0NEVJSlCLK4XCgVqt57rlM3nnHwLx5VRw79iYzZ57F1q3TBjacKKef7qSyMo7aWhPbtg1i\nn8U1aZIftboOrbaR11+vweFoprPTTXNzs1zYRmMqq1fPx2IJ0denIy7OwB13JPH008dZvvw+KTaa\nkpLKa6+9AsC77zq46SYrd9zRwKOPlpOSkoLH4yElJYXS0tIBUsckOjp6iI0txeFolQVmXV0dOTk5\ndHd3S1PVXbusvPLK7GGf/ccfs0lJcVFenoxWG4PZHKW/P4a0tCDt7TqOHbOyYsVHXHXVAgCysz00\nNf1y7P5mcCuBPXj19wcoLDRJC+u2tjbZuhLdjaFoO6fTic1mk5NCkU8PFcXx++Po7Z1Jd/dsAoGT\nufRSH1dd5eLpp+M4fFhDYeHNGAx1eDxhKU4paGkiyAUzXXAcQ6GQ7OBkZWURiUQYOXKkpMotWHAN\njz02lWnTnsdur8RqtUrT1a6uLjm2NxgMA5Z+/Rw9enQYOVj04UV61turp7X1RnbujCEhQcXhwyY2\nbQrS3h5hxYp0QiEVhw4dJTNTgepu3hzklltsLF8eZNMmLQcPGjj7bC/Jycppet55+/j66z62bevn\n228Vj/NoNIYdO8yo1VEcjl/uP/f0KILwdrud2tpaWltb0Wg02Gy2AYm0sTz33AOMG9fJu+924HAY\neO45M3/5SzdffHGnTAvT0tI4cWIqABMm9FJbqyEtLcLBg6skfEE4Lfj9fjIyMrjiitOJj1cmsa+/\nvkr2tydPnkxrays9PT10d3dz7Ngxtmz5E/+54X7zTQJ/+9sICgsDeL0q8vN97N8fR3u7EDQ10do6\nyPdsajLwa9dvBvfQa/LkCqzWvxAOR2VVr+ALFH0N0YbSaDSSBJCfny+B+kIw02KxYLe78Hgm0t9/\nBi0t05k+He6/P0hxsYdVq1RcfLGF3NzNFBUtwe3uobs7NCBE8zR9fbncccfHHDx4kLq6Orkzi4LW\nbDZLABIguzednZ34fD5yc3Opr6+huflCRo/Opa0tTF1dndT4MBgMJCcnD1OUMhqNzJ49G5/PJ8Xk\nBW1MpDxtbX/l2mv9ZGT4aW7WM3OmnpiYWM49182//22nq0tLXt5IWlpaMJlMnHmmmqqqbtLTs+Q9\n3r5dOSFvuqmHDRvWEAqFyMmZQSQyXIc6HP7lwL7lls0UFByiuVmRixDeRSaTCa3WzN6991BToyyU\nTz7xkpRk5r33dHi9GgKBf9Hb2yvd0np7T2X9eiVlmDmzkw8/zOehh3r4/POtsl05duxYampqiI2N\n5aGHzsJkCrJs2XrU6hgqKlpISEiQE8rExERJVrFarXg8Af6z7Nu1y8wf/tDHM8+0s3KljaefHt6j\nLy+3olJNlP9tNgfp/xUV4/+n4C4uXkdVlbK7iV2xra1N0qyGMsfFcEbImQl/wkjkZFyuBdTWnkpJ\nSZRLLgkzdaqTffvi2LhRw1/+oqKkZD9nnPEJKtUJIhE9CQmZ0hQpJeU7XK54Ojs7GTVqFGPGjGH3\n7t3SSk64YOXm5kpxIDEEEp+xubmZ+vp6rrjiZn78sXegL9xEWlqaXJh6vZ45c+ZQVVWF3W6nsbER\ngIyMDAoLC9m5c6e0BlHG96fgck3j7rv7BzSxlYcWjcbw17/2kJenJhIJ4vNFpQ5IJBKhvv6XdTes\n1gr6+iAvL4+dO3/ukpua6qOjIxaRknz99QYqKyvo6enCbo9y4MABOYo3mUzk5+fz1VfzZWDv29eK\n1WoiEonhX/+K5dZbu/n00/Vyyunz+WhpmQLAZZd5CAQy6exUodF8IZlHSUlJtLS0UFJyMm+9dTEm\nk4/GRi1Wazpbt3pISkqirq5GnuRCvGf8+PEsWzaGvr5k1Oow4bBaAqEAvvzSwvPPd/PyyxZsthB2\n+2CYpqSE8HoHCQr9/cMzi6HXbwb3hAltVFRYKSo6QSBwTB7Lgvc3FOcshinCJEmwXSCGrq4xtLZe\nSzSaz8KFQS66yMOOHTGsXWvglVf0ZGefQKstp6RkFUlJMQNTPrOUQzMajdTV1ZGVpUavj9DYGB4I\nHoWfmJubS3p6unQRE064dXV1EvchJIYFptvtdkttkJSUFHQ6HTk5ORK91tHRQUZGBnFxcWRmZkrL\nOgEBFj38aDSKw3Ext9wSxGgMEo3GcuWVyg5cUuImN1fBVwhMSWJiIm63m0OHDDz77C8PIWprU7Fa\nFZ/38vLzAEUpSrgqDA3sxETfgJilklIpYpduUlNTCQQCZGZmUlWVRFWV4p6we/dxRoxQdtEffgji\ndJoIBD6W8wqbzUZmZibZ2b00NXl59tkObrwxjf/7v27Wr/83I0aMoKWlRTKx4uPjgCgVFTksXryZ\nDRvieOGFadx1l5/iYpU0qUpOTubkk0+mo6MLtdrA5MlH+eqryTLAh151dbFs396FzRYmK2so2jDE\ngQOZzJnzE+vWncp/1hv/T8G9Z086l1++AL/fT1+fXxJthSyw6FoM7XwAA+PyVA4duo+2tjHk5fl5\n+OEoJpOXzz/XMXeumYKCGlSqVUyYsJOkJIPsGvh8USkCLzzLFWXQBNrb22lvf4Cmpjzuv/8jDhw4\nIAvM3NxcKbFQV9eK3++RIpIm01TKyvRUVR0gPT19QJVJT15eHqNGJREfH09DQwMFBaM4eNBHff10\nVq8uIjMzwE8/JZKf70avd3HZZSdwOncO84BRPGHGMGdOUHoB7dgRZfToJCorjRw40M/48VGuvloB\n2M+YESUQMHPvvUaqq39555k163u2b/fR3T0IxheBrVzKQy0qcmI09rNt2zb2799PJBKRxbvIiZua\nyli3ThlxP/ZYD8XFaQM1j5pHHrHypz818OWXX8ipa2/v1ZSXz8bj0XPJJS309+vYvDmOG2/cy5Yt\nXimZLKy4dTodS5Ycwm4vZ+3a0axePYobb9xBSsphursjMq1rbGxk5MiR3HXXbShNOjWTJrWxa9fP\n+9ZOZw/Z2QY++2x4WtLYGMd551Vz7NhI/ltgw+8I7hkzznDsrIMAACAASURBVKSlJSyhrgK2KSSL\nVSqVzHMHEX0n0dQ0j+bmaVx7bZQpU3rZs0fFE08YMJl60Wrfpbh4A9AzAL5S0dBgl4tEdDm6u7tp\na2vDZrNJBJ1Go+H664/R1PQTDkcP48aNGyaY43K5GDduHM8+u5i0NDfnnLOC7Oxsli8/n9TUIyQm\nFpCQoOOJJ6bL7/j002vYvLkAu/0cDh/u4OuvFfs3nS5ITY0SfBUVscTHm8jOPsiWLXVy91fE+HMI\nhdLIz7cTjSoAq3fe0ZCUFKS7W8vcuekcONDN99/r+f57kV8rra3S0lYCASNLlmxh7doOli27jrg4\nJPF3xIgexo17jtxcEx999Ad27x7cxQDKypoYPfpTDh6sQq/XY7fbJdDs5JNP5qWXXgRArY7y00+1\npKdrcLuVyfJ770UwGiEm5lN5uuXn57N+/cl0dVm4/fY67rwzzKefmjn11DDbtn0ih3SiK6akg10s\nWnQlf/vbTlavHkVsbIiJEyuw2QppaGigv7+f1tZWJk6cSDAYJDXVTUeH4ke6a1c6iYkeHA4DOl2I\nQEDDM89Ucu21o/n66xM895yJ/7zWry9ixoxmamv/e+z+ZnCLY1wwt2NiYqTG9FArakVmIITf/yfa\n2q6jrCyK263iwAEVy5ZpSE3dRULCYnJzfdKjJjY2Xoqxg9J9SEpKku07YJiDWmpqKgUFBdTUHJO2\neE1NTWg0GrKzs9HpdBQUFODz+Vi69H1CoQDHjk0nGGymujqFq69u529/u4LOTgVCkJPTSUNDCn/9\n60Xy+5500qAQeyAwuKsaDCGuv34jlZXlnDhxQhaeSkoyghEj+rFa4+U9q6mBf/+7m/POS6anR0NZ\nWRJmcwifT4VWCxde6CI7+zDPPTeFm2++lz17DBQV5REKaSgr65Qzg0Agnu3bL+LVV4spLm5CrY4Q\nDqsYP76fsrIWDIaPaGnpoLu7W3pjCgGfUGgQa11b24Reb5KblMsV5KWXEnn6aQcffbRdEpFjYlRo\nNMr96ez0oVLpWLPGwIIFPXz11VHJlVTciO3MmHEW+/dn8/bb/8ZgiOHtt1fg86WTnZ1NW1sbSUlJ\ntLa2csopp9DW1kZJSQnnnNPC++8Xy6LY4TAM3G8NGk2Yhx4q4cYbW9izJ51I5JfnMLt3p/7ivw+9\nfjO4hUqqaN2lp6dLp+C2tjZ55BiN2XR2PoHVWsqaNS6efFKL36/C4VjK6NH/RqPxDuhWGOUJICCk\nsbGxktMopIfFiF7prChEiczMTDZt2kRSUhLFxcW43W5peqowy220t7sJhXpobT0Zs1nFN9+YqKpS\neql33HHjsO/W0JDys+975MjQf1N2V4AZM2ro7PyIjo4OqawqJB6i0VTS05GnmN8fZfp0FXFxPjwe\nFe+84+CGGxLp79cMPETYulVFS8sUHnnkJfx+DSqVmr//fT6gQFR//FFxN2hvD7J/fzF33vkhr7xy\nhfxkTzxxkM7OGn74oYn6+nrpU5OcnDyQltzN6tWTBr53NVptvBTx9Hg8LFliIjMzxPbtj9DY2IjF\nYuG0007D7U6ipSUbgJtuitDTk8Du3WoefPC4dJoARZpi376/c/Solv5+PatXm3C59Nx8cyOzZx9E\nrdZL5dqcnBx2727GZCoYcKB2Eg4P7ZIo99loDPPyyx2cfbbCUe3o8LN9exi3O8KGDdZhz8Pt/vVC\nUly/OX4XpALhSSMoWsK/Jisri2Awh4qK5cyalcd77wW45RY9TU1HKCiYh822BpXKLaGuAjwlcmOV\nSiVbeNnZ2RIwJZwZhNpTIBCgoaGBrKwsOdIXrb3y8nLKy0t5662pLF9+OjabjQ8/NLNpk4q5czuZ\nMqXtN2/Er3x7Ro3q48MPP6Wg4E36+/txOp2kpKSg1WplW9Pvz+X00xUXg0OHLNxzj41bb41n48Yk\n/H4VN9xgZcwYD5MnD1b5LS0mxo7t5sSJC2hrywOi/OEP5Wg0YSorE8nJmUJ7e5QNG15Hqw2xfPkf\nEfDjBx88ik4XkFNioemRk5NDMBhk7NjTcLsn0No6ggceaOTee2MlyhCgujqW5cvjmTevkgMHDpCV\nlcX48eNpaPDw7bd/xmTycf/93eTmxrFhg4krrvDy5Zdv4XA4JDt/5MiRXHbZfnp745k5swG3W+n9\nv/tuJpdffh6ffaZMXp1OJ/n5+Rw7dh2vvXYdWq2WxYv/0/VXBKyaG27I4NixEC6Xm7S0MC+8oCca\n1Qz7PXGNH9/Nr1n+we/UChSmqqKPLShZiYmJ9PZm0d7+Dvfe66OwMMSZZxrIzd1ATs6baDQq+vuj\nFBcXS7Gbrq4ugsGgxCAL1J/VaqWlpYXU1FTZQx7qvGA2m6V+n1Dy7+vrIzc3d8CRQE9p6T8588wc\n7HaYOrWcf/97PuvXxzJ0DaekuGVa8t+uUaN66ezUERvbw6pVH+JwOOjv76e39yFKSy2cdto6tmzZ\nMtBizCUnR/lM111noKtL+Xv33y/SghgaG7X09AzfbfbvT6KtzchVV1lRqdxkZwfRasOEQmoefvgS\nXn65mzVr/Ph8sRgMfvr6lIc7cuQxDh2q5+jRo/T396PX62U71mw2s2XLFTQ0JLFlSxUlJVap0SgG\nbC+8kMzFF7upr/8XsbGxUkfR5bqejo4UMjJ83HqrE4vFytdfR7n22j7ef/8EycnJdHZ2kpeXh9k8\nloce+iNqdYhjx+KxWv188MFP7N6dwGefpXH66T1oNArxetu2bVx9dR0NDTqWLLkMg8FJTEwsbvcv\nq0Wde24+KlWUv/3NTk5OLd98U4JGEyEUUsm0DGDv3p9jaYZev8tkVbCxBd8vEomQnZ1NMGihufkd\nXnwxhoICFVdfbeGkk9YyatT7BAI+EhISyM3NJSMjA6vVOuxIA6Tq0VDtba/XK9tuRqMRi8VCYmIi\n6enpkjCs0+kGOiCDOeS0aVsoKFCxYcMGNmxI4r33rsHpVP/sK/5yYA9f/ZMmdXDOOTVkZro577yl\nEiimEKVNLFs2C4djhARLBYOZjBjhZ+RIC9dd5+ftt+2YzeFh7/+fgS3+PSurm6KiEI8/fg9PPTWb\nm24aBBGtXz+ZsWOPAaBWBzjvvEoAmpqOU1tbS11dnRQvUtIhP05nITt3FnDRRd1kZ2uHYF6UDtbG\njQbWrtUxY8Z31NbW4vV6KSkpwe32U1sr8tgYli418tNP/VRXa9Hrd0gstk6nY//+P/PKK2eiVoeJ\njY1wxhldFBY66O7uYOTIw3R1xXHkiOLMLATyd+1Ko6Mjk7a2BDye+F8N7MJCBQ8ficTwyCM2ysuV\nAjwUEtzbwecpyB2/dv1mcAvir/AmEbxDnS4Wu/115s8PEwyGueKKeC644DUyM5VdTqfTSSsRYVAa\nHx8vVZwEuTYtLY3CwkKpXioQhgI263K5yM7OxuVyYTAYpAOC6NocP36cyspKDAYDhw8fJjMzEyH8\n6fHoKCjoHvZ9xo79pRRl+HHX1BTP5Mk1jB59B5s3b5aQ3lDoZHbvnkM0qqKzc7TEYGs0/fj9cZSV\nefjgAy0ffZRAf7+aq67qJTPz1xWRIIY9ezK54QYllz799EYSE9vJzVU8IX/8cRSnnrqVu+9ejcEQ\n4cILa1i69Cd8vi7ZRaqpqcFisQws/ptZs+ZRJk3q5q67lM1DTAUFKWLjRj3nnediy5Y1dHV1UVBQ\nQGxsHK2tU2htHQXAo4+2c/vtYbZvtzFnTpDvvvtKahimpKRw7rlVtLUlEw6r8Xh0vPbaZMrLM1i0\naB7/+tcsWlstTJigcEzXrHmEbdvm8K9//YFIRE1eXh//LZWw2wc3gYwML6++Gs+sWU4KC5UT3mgc\nlE+LRv97+P4ufW6RmgiBGcVX8E4slnRKStzcd5+WqVP/gsPxFW63W04Eo9EoLpeLnTt30t7ezpEj\nR0hPT0er1cqeqlg8ZrOZ888/f5irr81mk52YlJQUkpOTyczMZOHChRKr4vf7GTFiBF1dXej1St96\n796T5ee/6ioFVTN/vuLSW1amTBonT66Xv5OcPAihLCjo4dZb32fZsmUSiywIFEVFU4a8pl9qoUCI\n+fOtnHpqDE1NOjZtiuXee9tYsSIBRTBq+OJJSBDsE+Uhn39+E+ecU86PP47gs89Opq5O2UFnzKgl\nJydMdnYj9fUWPJ4U4uPrZL3icrnIysoiOzub7u5FvPPOhZxyipd33+1ArQ5J5KHA8Hz3nYYvvojl\n6qv3UFentDMLCgr4+ONr2LZt/sD38nH++UY8HjVLl8Zy0UUNVFZWDiGipLBx40yuumoXJpNn4DsM\nTmMXLqzh6ad3EBsboLu7m0sueZuysrUsXfpPzGYvVVUpP7sfQ6877uhEr48wYkSA5mYDHR3dLFvm\n5IUXlE2qsHCoquuvLxL4XUwcJQAFuVU5hs+kvv5MNm70c8UVFpKSHkanO4jX65cuwwKML3qvp512\nGrt27aKjo0PinkV1n5eXx+jRo3E4HJhMJqlaFRMTw5gxYyTmORQKybG7AErZbGfi851EZuZ2mpub\nCQZz2bEjmzlzGrjhhn38+OOPfPDBcSyWbOLj7yM728w//+nnppumye/Y1aWkKpdccoKyso/YsWMH\nXq9iTSFw4L29z/L552fL17jdlVKJKiYmhg8/tFNSomPJEuXnzz+vDCZ6e4enIzExUXp79cTEhIlG\nlTRt9Gg3p5/ezt69/ahUgzv9Dz/kMW+ejR07dvCPf6whNTVMb69TEgQU9S4TbW2lfPPNuQC8914z\nycmJcuELFpTb7eWaa6w8/vgxli9/bqDfnEpzcwvt7cpmoFKFcbt12O397NiRjN8fQ3//NqlMYDKZ\n2LjxXbTaMCdO5DN+vB2Dwc62bTky2FauzOCqq/ah1Sr9/rVrryccVnHPPatYvvwHLr74XIZ2Pf7z\nevHFNMrLK/D7U9mwIZbe3m7c7liuvDILqzXMgQNDpSRiOOecXr755pdj9zd3bkE8EPIGiYnJN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RTCEeN6haOwCSJFFXJxKLaVi69BwOx1na2tooLCzsN9x0zpzJRxCiBIM6Kiu/ZtOm\nEd/gC5GZqBITazhzxkd398vcf/9Vysu1OBw6Vq9OYsmSLu65R8/UqVK/RImXhx/24nZDcbGPP/1J\nwyefJOF06rDZAixcGOM3v0nid78T+eqrRlpaMsjPd1NXl8mKFRex2eQCuspKK3PnXuHHP05n48Zz\ngJ2pU/3Mm6fD55PQ6/WUl2dy9aoWt1vHqlXdeDwiv/51Co884mHhQlRX8mb4X0j1DWEI///xf9ah\nHMIQ/p1xyzj3EIbw74oh4x7CtxZDxj2Eby2GjHsI31oMGfcQvrX4H/Yk/p68oqUmAAAAAElFTkSu\nQmCC\n", + "text": [ + "" + ] + } + ], + "prompt_number": 18 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Dependiendo de su sistema, este comando puede tardarse unos minutos. Ahora veamos como realizar el mismo procesamiento en paralelo." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rc = parallel.Client()\n", + "all_engines = rc[:]\n", + "view = rc.load_balanced_view()" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 13 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%px import os; os.chdir(\"{os.getcwd()}\")" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 23 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%px\n", + "import matplotlib\n", + "matplotlib.use('Agg')\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from skimage.io import imread\n", + "from skimage import measure" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 24 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "all_engines.push(dict(\n", + " plot_contours=plot_contours,\n", + " find_contours=find_contours,\n", + "))" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 25, + "text": [ + "" + ] + } + ], + "prompt_number": 25 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from IPython.display import display, Image\n", + "\n", + "amr = view.map_async(get_contours_image, pictures[:20], ordered=False)\n", + "for pngdata in amr:\n", + " display(Image(data=pngdata))" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "ename": "RemoteError", + "evalue": "NameError(global name 'imread' is not defined)", + "output_type": "pyerr", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m", + "\u001b[1;32m\u001b[0m in \u001b[0;36mget_contours_image\u001b[1;34m(path)\u001b[0m", + "\u001b[1;32m\u001b[0m in \u001b[0;36mfind_contours\u001b[1;34m(path, low, high)\u001b[0m", + "\u001b[1;31mNameError\u001b[0m: global name 'imread' is not defined" + ] + } + ], + "prompt_number": 26 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/extras/haarcascade_frontalface_default.xml b/extras/haarcascade_frontalface_default.xml new file mode 100644 index 0000000..bc2aa3c --- /dev/null +++ b/extras/haarcascade_frontalface_default.xml @@ -0,0 +1,33314 @@ + + + +BOOST + HAAR + 24 + 24 + + 211 + + 0 + 25 + + <_> + 9 + -5.0425500869750977e+00 + + <_> + + 0 -1 0 -3.1511999666690826e-02 + + 2.0875380039215088e+00 -2.2172100543975830e+00 + <_> + + 0 -1 1 1.2396000325679779e-02 + + -1.8633940219879150e+00 1.3272049427032471e+00 + <_> + + 0 -1 2 2.1927999332547188e-02 + + 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figshare_id = None + nombre_imagen = None + + def __init__(self): + pass + + def set_figshare_id(self,figshare_id): + self.figshare_id = figshare_id + + def set_nombre_imagen(self,nombre_imagen): + self.nombre_imagen = nombre_imagen + + def download(self): + figshare_url = "http://api.figshare.com/v1/articles/%s" % self.figshare_id + f = urllib.urlopen(figshare_url) + info = json.load(f) + image_url = info['items'][0]['files'][0]['download_url'] + urllib.urlretrieve(image_url, self.nombre_imagen) \ No newline at end of file diff --git a/scripts/descargaimagen.pyc b/scripts/descargaimagen.pyc new file mode 100644 index 0000000..c5a7a31 Binary files /dev/null and b/scripts/descargaimagen.pyc differ diff --git a/scripts/geo_distance_np.py b/scripts/geo_distance_np.py new file mode 100644 index 0000000..ef5817e --- /dev/null +++ b/scripts/geo_distance_np.py @@ -0,0 +1,23 @@ +# Using the Haversine formula for geographic Great Circle Distance +# +# As per https://en.wikipedia.org/wiki/Haversine_formula + +from numpy import cos,radians,sin,sqrt,power,arcsin + +def distance(lat1, long1, lat2, long2): + radius = 6371 # radius of the earth in km, roughly https://en.wikipedia.org/wiki/Earth_radius + + # Lat,long are in degrees but we need radians + lat1 = radians(lat1) + lat2 = radians(lat2) + long1 = radians(long1) + long2 = radians(long2) + + dlat = lat2-lat1 + dlon = long2-long1 + + a = power(sin(dlat/2),2) + cos(lat1)*cos(lat2)*power(sin(dlon/2),2) + distance = 2 * radius * arcsin(sqrt(a)) + + return distance + diff --git a/scripts/imagedownloader.py b/scripts/imagedownloader.py new file mode 100644 index 0000000..ada8999 --- /dev/null +++ b/scripts/imagedownloader.py @@ -0,0 +1,24 @@ + +import urllib +import json + +class ImageDownloader(object): + + figshare_id = None + image_name = None + + def __init__(self): + pass + + def set_figshare_id(self,figshare_id): + self.figshare_id = figshare_id + + def set_image_name(self,image_name): + self.image_name = image_name + + def download(self): + figshare_url = "http://api.figshare.com/v1/articles/%s" % self.figshare_id + f = urllib.urlopen(figshare_url) + info = json.load(f) + image_url = info['items'][0]['files'][0]['download_url'] + urllib.urlretrieve(image_url, self.image_name) diff --git a/scripts/imagedownloader.pyc b/scripts/imagedownloader.pyc new file mode 100644 index 0000000..9ad846f Binary files /dev/null and b/scripts/imagedownloader.pyc differ diff --git a/scripts/mydemo.py b/scripts/mydemo.py new file mode 100644 index 0000000..5e2c07e --- /dev/null +++ b/scripts/mydemo.py @@ -0,0 +1,43 @@ + +"""A simple interactive demo to illustrate the use of IPython's Demo class. + +Any python script can be run as a demo, but that does little more than showing +it on-screen, syntax-highlighted in one shot. If you add a little simple +markup, you can stop at specified intervals and return to the ipython prompt, +resuming execution later. + +This is a unicode test, åäö +""" +from __future__ import print_function + +print('Hello, welcome to an interactive IPython demo.') +print('Executing this block should require confirmation before proceeding,') +print('unless auto_all has been set to true in the demo object') + +# The mark below defines a block boundary, which is a point where IPython will +# stop execution and return to the interactive prompt. +# --- stop --- + +x = 1 +y = 2 + +# --- stop --- + +# the mark below makes this block as silent +# silent + +print('This is a silent block, which gets executed but not printed.') + +# --- stop --- +# auto +print('This is an automatic block.') +print('It is executed without asking for confirmation, but printed.') +z = x+y + +print('z=',x) + +# --- stop --- +# This is just another normal block. +print('z is now:', z) + +print('bye!') \ No newline at end of file diff --git a/src/.ipynb_checkpoints/calling_r_example-checkpoint.ipynb b/src/.ipynb_checkpoints/calling_r_example-checkpoint.ipynb deleted file mode 100644 index a9a6dcc..0000000 --- a/src/.ipynb_checkpoints/calling_r_example-checkpoint.ipynb +++ /dev/null @@ -1,101 +0,0 @@ -{ - "metadata": { - "name": "" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "talk experiments\n", - "need to unstall rpy2" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%load_ext rmagic" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 1 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import numpy as np\n", - "X = np.array([0,1,2,3,4])\n", - "Y = np.array([3,5,4,6,7])" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 4 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%%R -i X,Y -o XYcoef\n", - "XYlm = lm(Y~X)\n", - "XYcoef = coef(XYlm)\n", - "print(summary(XYlm))\n", - "par(mfrow=c(2,2))\n", - "plot(XYlm)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "text": [ - "\n", - "Call:\n", - "lm(formula = Y ~ X)\n", - "\n", - "Residuals:\n", - " 1 2 3 4 5 \n", - "-0.2 0.9 -1.0 0.1 0.2 \n", - "\n", - "Coefficients:\n", - " Estimate Std. Error t value Pr(>|t|) \n", - "(Intercept) 3.2000 0.6164 5.191 0.0139 *\n", - "X 0.9000 0.2517 3.576 0.0374 *\n", - "---\n", - "Signif. codes: 0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n", - "\n", - "Residual standard error: 0.7958 on 3 degrees of freedom\n", - "Multiple R-squared: 0.81,\tAdjusted R-squared: 0.7467 \n", - "F-statistic: 12.79 on 1 and 3 DF, p-value: 0.03739\n", - "\n" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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S/vnnH1ZdwzIahGmdvXv38g/tD/dgsGBYc8PYDJ1jCGfwGSkGoy5QTNgRARwikNEoYCwB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gsvtJqW/4JAZjCOIreQenMVGQ3qhYSI4ri50PUahQuROWcmGfw7TheCpTOiYCFDGKLYIRQlCAy4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\neOEG4kg14GU8goAgI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- } - ], - "prompt_number": 5 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} - } - ] -} \ No newline at end of file diff --git a/src/.ipynb_checkpoints/calling_ruby_example-checkpoint.ipynb b/src/.ipynb_checkpoints/calling_ruby_example-checkpoint.ipynb deleted file mode 100644 index f5233e9..0000000 --- a/src/.ipynb_checkpoints/calling_ruby_example-checkpoint.ipynb +++ /dev/null @@ -1,62 +0,0 @@ -{ - "metadata": { - "name": "" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%%ruby\n", - "puts \"Hello from Ruby #{RUBY_VERSION}\"" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "Hello from Ruby 1.8.7\n" - ] - } - ], - "prompt_number": 1 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%%bash\n", - "echo \"hello from $BASH\"" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "hello from /bin/bash\n" - ] - } - ], - "prompt_number": 2 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} - } - ] -} \ No newline at end of file diff --git a/src/.ipynb_checkpoints/pycon13_ipython-checkpoint.ipynb b/src/.ipynb_checkpoints/pycon13_ipython-checkpoint.ipynb deleted file mode 100644 index 16f00a6..0000000 --- a/src/.ipynb_checkpoints/pycon13_ipython-checkpoint.ipynb +++ /dev/null @@ -1,2249 +0,0 @@ -{ - "metadata": { - "name": "" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "skip" - } - }, - "source": [ - "![http://ipython.org/_static/IPy_header.png](http://ipython.org/_static/IPy_header.png)\n", - "\n", - "[IPython](http://ipython.org/) in action creating reproducible and publishable interactive work.\n", - "\n", - "What is this?\n", - "------\n", - "\n", - "This `repo` contains the complete [talk](http://za.pycon.org/talks/10/) I intend to deliver (have delivered) at [PyConZA2013](http://za.pycon.org/). It contains all the files needed to build a final publishable PDF document from an interactive notebook and even adds a custom front page.\n", - "\n", - "[The Complete Talk GitHub Website can be accessed here][6]\n", - "\n", - "Background\n", - "-------------\n", - "IPython had become a popular choice for doing interactive scientific work. It extends the standard Python interpreter and adds many useful new futures. There is really no need to use the standard Python interpreter anymore.\n", - "In addition to this IPython offers a web based Notebook that makes interactive work much easier, and have been used to write repeatable scientific papers and more recently a book has been written using this platform, the online Notebook Viewer and GitHub. The development of this material and tool chain to compile the notebook to a publishable PDF, has inspired me to maybe even try and turn this into a complete (free) book. Let\u2019s see what happens.\n", - "\n", - "Combining the most common scientific packages with IPython makes it a formidable tool and serious competition to R. ( _R is still awesome!_ )\n", - "\n", - "![http://ipython.org/_static/ipy_0.13.png](http://ipython.org/_static/ipy_0.13.png)\n", - "\n", - "As a matter of fact you can run R in the notebook session, embed YouTube Videos, Images and lots more but let me not get ahead of myself....\n", - "\n", - "The science stack consists of (but not limited to):\n", - "\n", - "package | description\n", - "--- | ---\n", - "[pandas][1] | `dataframe` implementation (based on numpy)\n", - "[scipy][2] | efficient numerical routines\n", - "[sympy][3] | `symbolic mathematics`\n", - "[matplotlib][4] | python standard `plotting` package\n", - "[sci-kit learn][5] | machine learning and `well documented!`\n", - "\n", - "Talk contents\n", - "--------\n", - "The talk will aim to introduce these tools and explore some practical interactive examples. Once completed it will be shown how easy it is to publish your work to various formats. Some of the topics covered in the talk are listed below:\n", - "\n", - "item | description\n", - "---- | -------\n", - "ipython | quick intro to ipython and the notebook\n", - "setup | set up your environment / get the talk files\n", - "notebook basics | navigate the notebook\n", - "notebook magic\u2019s | special notebook commands that can be very useful\n", - "getting input | as from IPython 1.00 getting input from sdtin is possible\n", - "local files | how to link to local files in the notebook directory\n", - "plotting\t| how to create beautiful inline plots\n", - "symbolic math | quick demo of sympy model\n", - "pandas | quick intro to pandas dataframe\n", - "typesetting | include markdown, Latex via MathJax\n", - "loading code | how to load a remote .py code file\n", - "gist | paste some of your work to gist for sharing\n", - "js\t\t| some javascript examples\n", - "customising | loading a customer css and custom matplotlib config file\n", - "git cell | add code to a special cell that would commit to git\n", - "output formats | how to publish your work to html, pdf or jeveal.js presentation\n", - "\n", - "\n", - "Get the processed presentation files here:\n", - "------\n", - "format | description\n", - "------- | ------------\n", - "[IPython notebook](https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/pycon13_ipython.ipynb) | .ipynb file to run in browser\n", - "[IPython html notebook](http://htmlpreview.github.io/?https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/output/pycon13_ipython.html) | converted to HTML and served online\n", - "[IPython pdf notebook](https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/output/pycon13_ipython_pdf.pdf?raw=true) | converted to PDF for download (to be added, needs pandoc)\n", - "[IPython pdf book](https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/output/pycon13_ipython_complete.pdf?raw=true) | converted to pdf and a front-page stitched to it)\n", - "[Ipython reveal.js presentation](http://htmlpreview.github.io/?https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/output/pycon13_ipython.slides.html#/) | converted to a reveal.js presentation and served online\n", - "[Online IPython NBveiwer](http://nbviewer.ipython.org/urls/raw.github.com/Tooblippe/zapycon2013_ipython_science/master/src/pycon13_ipython.ipynb) | view on the ipython notebook viewer\n", - "\n", - "\n", - "Dependencies\n", - "-------------\n", - "I was given the challenge to develop all of this on a Windows machine as some of my sponsors want to demonstrate that this stuff can not only be done on GNU/Linux/OSX. So all the tool chains are Windows based. If you know Linux, then you are the type of person that would easily port this. That being said the Windows GitHub client is refreshing. I have also added a MacBook Air to my arsenal and have been porting the toolchain to Mac aswell and it seems to be working fine. \n", - "\n", - "package | description\n", - "-------- | ------------\n", - "IPython | To use NBConvert you need V1.00. If you only want to use the interactive notebook then v0.13 will be ok.\n", - "pandoc \t | The document converter used by IPythonr\n", - "MikeTex | If you want to do a TEX to PDF transform. I had so many issues with the TEX to PDF conversion by NBConvert, so settled for wkhtmltopdf(below) to convert HTML to PDF rather. (Convert notebook to HTML with NBconvert and then from HTML to PDF with wkhtmltopdf\n", - "wkhtmltopdf | Convert HTML to PDF (i could only install this on windows)\n", - "wkpdf\t\t| I couldn't get wkhtmltopdf to work on os x so i installed wkpdf for handling the HTML to PDF conversion on my Mac. It's a Ruby Gem install and painless.\n", - "pdftk | Can be used to combine PDF's. In this case add a frontpage to the generated IPython notebook PDF. Only available for Windows.\n", - "*ImageMagick | for compressing the PDF. Still experimenting with this.(have not got this working yet so not needed)\n", - "*GhostScript | needed by ImageMagick(not needed as PDF compression is not functional yet)\n", - "anaconda | install anaconda from Continuum Analytics. Almost all the Python packages are included and it has a virtual environment manager via it's console application `conda'\n", - "\n", - " \n", - "How to run the Interactive Notebook\n", - "--------\n", - "Navigate to the `src` directory and run from the command line:\n", - "\n", - " ```python\n", - " ipython notebook\n", - "```\n", - "\n", - "If everything works your browser should open and you can select the `notebook` and start experimenting!\n", - " \n", - "PDF, HTML, Slideshow Build Script\n", - "------------\n", - "There is a build script in the `src` directory. It is an IPython file. You can basically build shell scripts this way. To use the power of IPython commands save the file with the `.ipy` extension and call it with IPython. Even the magic\u2019s work. To build the document use `ipython builddocs.ipy` You will have to change the paths to the software however. Currently I can use the build script on Windows and on my Mac but it is a bit of a hack.\n", - "\n", - "Cross Platform Output Rendering\n", - "--------\n", - "I have tested the HTML outputs on my Galaxy S3 and S4, IPAD and Nexus7. They render very well. Even the downloaded PDF was easily readable on the NEXUS 7 in landscape mode. In conclusion the produces work is really very well packaged and easily consumed on most platforms. This is not bad, and all done with open source software.\n", - "\n", - "Some interesting links\n", - "-----------------------\n", - "* [A book written with IPython Notebook][7]\n", - "* [Notebook Viewer][8]\n", - "* [Anaconda - Installing almost everything you need][9]\n", - "\n", - "\n", - "About the presenter\n", - "----------\n", - "* I am an Electrical Engineer and is currently working for a [consulting firm][10] where I manage the Business Analytics and Quantitative Decision Support Services division.\n", - "* I use python in my day to day work as a practical alternative to the limitations of EXCEL in using large data sets.\n", - "* [LinkedIn][11]\n", - "* I am also a co-founder at [House4Hack][12]\n", - "\n", - "\n", - "\n", - " [1]: http://pandas.pydata.org/\n", - " [2]: http://www.scipy.org/\n", - " [3]: http://sympy.org/en/index.html\n", - " [4]: http://matplotlib.org/\n", - " [5]: http://scikit-learn.org/\n", - " [6]: http://tooblippe.github.io/zapycon2013_ipython_science\n", - " [7]: http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/\n", - " [8]: http://nbviewer.ipython.org/\n", - " [9]: http://www.continuum.io/downloads\n", - " [10]: http://www.eon.co.za/index.php/our-services-main/our-services/business-analytics\n", - " [11]: http://www.linkedin.com/in/tobienortje\n", - " [12]: http://www.house4hack.co.za/\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "# The IPython notebook\n", - "\n", - "The IPython notebook is part of the IPython project. The IPython project is one of the packacges making up the python scientific stack called SciPi.\n", - "SciPy (pronounced \u201cSigh Pie\u201d) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. In particular, these are some of the core packages:\n", - "\n", - "![SciPy](https://raw.github.com/Tooblippe/zapycon2013_ipython_science/master/src/static/scistack.png)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Quick IPython introdution\n", - "\n", - "IPython provides a rich architecture for interactive computing with:\n", - "\n", - "* Powerful `interactive shells` (terminal and Qt-based).\n", - "* A `browser-based notebook` with support for code, text, mathematical expressions, inline plots and other rich media.\n", - "* Support for `interactive data visualization` and use of GUI toolkits.\n", - "* Flexible, embeddable interpreters to load into your own projects.\n", - "* Easy to use, high performance tools for parallel computing.\n", - "\n", - "The main reasons I have been using it includes:\n", - "\n", - "* A `superior` shell\n", - "* Plotting is possible in the QT console or the Notebook\n", - "* the `magic` functions makes life easier (magics gets called with a %, use %-tab to see them all)\n", - "* I also use it as a `replacement shell` for Windows Shell or Terminal\n", - "* `Code Completion`\n", - "* `GNU Readline` based editing and command history" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Some helpfull commands\n", - "\n", - "The four most helpful commands, as well as their brief description, is shown\n", - "to you in a banner, every time you start IPython:\n", - "\n", - "\n", - "`command` | `description`\n", - "------------|----------- \n", - "? | Introduction and overview of IPython's features.\n", - "%quickref | Quick reference.\n", - "help | Python's own help system.\n", - "object? | Details about 'object', use 'object??' for extra details.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Some imports and settings\n", - "The following code cells make sure that plotting is enabled and also loads a customised matplotlib confirguration file that spices up the inline plots. The custom matplotlib file has been taken from the [Bayesian Methods for Hackers Project](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter1_Introduction/Chapter1_Introduction.ipynb)" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# makes sure inline plotting is enabled\n", - "%pylab --no-import-all inline " - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "Populating the interactive namespace from numpy and matplotlib\n" - ] - } - ], - "prompt_number": 3 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "#loads a customer marplotlib configuration file\n", - "def CustomPlot():\n", - " import json\n", - " s = json.load( open(\"static/matplotlibrc.json\") )\n", - " matplotlib.rcParams.update(s)\n", - " figsize(18, 6) " - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [], - "prompt_number": 4 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Changing the notebook layout\n", - "The code cell below is an example of how you should not be chaning the layout and css of the notebook. From IPython V1.00 it is possible to include custom css by creating IPython profiles. Since this file needs to be distributable I have opted for the hack below as used by the `Bayesian Methods for Hackers Team`" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.core.display import HTML\n", - "def css_styling():\n", - " styles = open(\"static/custom.css\", \"r\").read()\n", - " return HTML(styles)\n", - "css_styling()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "html": [ - "\n", - "\n", - "" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 3, - "text": [ - "" - ] - } - ], - "prompt_number": 3 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Notebook basics\n", - "The IPython Notebook is a web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document.\n", - "\n", - "* Code Completion\n", - "* Help\n", - "* Docstrings\n", - "* Markdown cells\n", - "* Running a Code cell (Shift+Enter)\n", - "* Setting a cell to be included in the presentation" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Run the contents of a cell\n", - "\n", - "* SHIFT+ENTER will run the contents of a cell and move to the next one\n", - "\n", - "* CTRL+ENTER run the cell in place and don't move to the next cell. (best for presenting)\n", - "\n", - "* CTRL-m h show keyboard shorcuts" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# press shift-enter to run code\n", - "print \"Hallo Pycon\"" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "Hallo Pycon\n" - ] - } - ], - "prompt_number": 4 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Save the notebook\n", - "CTRL-S will save the notebook" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Lets get some help\n", - "The `%quickref` commmand can be used to obtain a bit more information" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "#IPython -- An enhanced Interactive Python - Quick Reference Card\n", - "%quickref # now press shift-ender" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [], - "prompt_number": 5 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Code completion and introspection\n", - "The cell below defines a function with a bit of a long name. By using the `?` command the docstring can we viewed. `??` will open up the source code. The autocomplete function is also demostrated, and for fun the function is called and the output displayed" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# lets degine a function with a long name.\n", - "def long_silly_dummy_name(a, b):\n", - " \"\"\"\n", - " This is the docstring for dummy. \n", - " It takes two arguments a and b\n", - " It returns the sum of a and b\n", - " No error checking is done!\n", - " \"\"\"\n", - " return a+b" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [], - "prompt_number": 6 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# lets get the docstring or some help\n", - "long_silly_dummy_name?" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [], - "prompt_number": 7 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "long_silly_dummy_name??" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": true, - "input": [ - "#press tab to autocplete\n", - "long_si" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# press shift-enter to run\n", - "long_silly_dummy_name(5,6)" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 8, - "text": [ - "11" - ] - } - ], - "prompt_number": 8 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Setting up the notebook to enable a slideshow view\n", - "\n", - "You need to activate the Cell Toolbar in the Toolbar above. Here you can set if this cell should be compiled as a slide or not. The options are given below:\n", - "\n", - "* slide\n", - "* sub slide\n", - "* fragment\n", - "* skip\n", - "* notes" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Using markdown\n", - "You can set the contents type of a cell in the toolbar above. When Markdown is selected you can enter markdown in a cell and it's contents will be rendered as HTML. The markdown syntax can by [found here](http://daringfireball.net/projects/markdown/)\n", - "\n", - "# This is heading 1\n", - "## This is heading 2\n", - "### This is heading 5\n", - "\n", - "> Beautiful is better than ugly.\n", - " Explicit is better than implicit.\n", - " Simple is better than complex.\n", - " Complex is better than complicated." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Notebook magics\n", - "IPython has a set of predefined \u2018magic functions\u2019 that you can call with a command line style syntax. There are two kinds of magics, line-oriented and cell-oriented. Line magics are prefixed with the % character and work much like OS command-line calls: they get as an argument the rest of the line, where arguments are passed without parentheses or quotes. Cell magics are prefixed with a double %%, and they are functions that get as an argument not only the rest of the line, but also the lines below it in a separate argument." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "### Timeit magic\n", - "The timeit magic can be used to evaluate the average time your loop or piece of code is taking to complete it's run." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%%timeit \n", - "x = 0 # setup\n", - "for i in range(100000): #lets use range here\n", - " x = x + i**2" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "100 loops, best of 3: 12.2 ms per loop\n" - ] - } - ], - "prompt_number": 16 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%%timeit \n", - "x = 0 # setup\n", - "for i in xrange(100000): #replace range with slightly improved xrange\n", - " x += i**2" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "100 loops, best of 3: 10.7 ms per loop\n" - ] - } - ], - "prompt_number": 17 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Know when the kernel is busy\n", - "Have a look at the top right hand side of the notebook and run the code cell above again. This shows that the kernel is busy running the current cell." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## User input\n", - "In the snippet below it the `raw_input()` function is used to read some user input to a variable `raw` and printed to stdout." - ] - }, - { - "cell_type": "code", - "collapsed": true, - "input": [ - "from IPython.display import HTML\n", - "\n", - "raw = raw_input(\"enter your input here >>> \")\n", - "\n", - "print \"Hallo, \",raw" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "stream": "stdout", - "text": [ - "enter your input here >>> World!\n" - ] - }, - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "Hallo, World!\n" - ] - } - ], - "prompt_number": 18 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## How to link to the filesystem" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.display import FileLink, FileLinks\n", - "FileLinks('.', notebook_display_formatter=True)" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 11, - "text": [ - "./\n", - " .DS_Store\n", - " builddocs.ipy\n", - " calling_r_example.ipynb\n", - " calling_ruby_example.ipynb\n", - " pycon13_ipython.ipynb\n", - " README.md\n", - "./.ipynb_checkpoints/\n", - " calling_r_example-checkpoint.ipynb\n", - " calling_ruby_example-checkpoint.ipynb\n", - " pycon13_ipython-checkpoint.ipynb\n", - "./data/\n", - " CapeTown_2009_Temperatures.csv\n", - " READEME.md\n", - "./output/\n", - " .DS_Store\n", - " pycon13_ipython.html\n", - " pycon13_ipython.slides.html\n", - " pycon13_ipython_complete.pdf\n", - " pycon13_ipython_pdf.pdf\n", - "./static/\n", - " .DS_Store\n", - " custom.css\n", - " frontpage.docx\n", - " frontpage.pdf\n", - " ip.png\n", - " ip2.png\n", - " matplotlibrc.json\n", - " python-vs-java.jpg\n", - " scistack.png" - ] - } - ], - "prompt_number": 11 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Running shell commands\n", - "I now use ipython as my default shell scripting language. lets put the contents of the current directory into a list. by using the `!` before a command indicates that you want to run a system command.\n", - "\n" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "filelist = !ls #read the current directory into variable\n", - "for x,i in enumerate(filelist):\n", - " print '#',x, '--->', i" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "# 0 ---> README.md\n", - "# 1 ---> builddocs.ipy\n", - "# 2 ---> calling_r_example.ipynb\n", - "# 3 ---> calling_ruby_example.ipynb\n", - "# 4 ---> data\n", - "# 5 ---> output\n", - "# 6 ---> pycon13_ipython.ipynb\n", - "# 7 ---> static\n" - ] - } - ], - "prompt_number": 20 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Embedding Images\n", - "\n", - "[Image](http://askrahul.com/blog/from-funny-moments-to-emails-to-sms/python-vs-java/) released under [CC BY-NC-ND 2.5 IN)](http://creativecommons.org/licenses/by-nc-nd/2.5/in/) by [Rhul Singh](http://askrahul.com/blog/about-rahul-singhs-blog/)" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.display import Image\n", - "Image('static/python-vs-java.jpg')" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "jpeg": 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Q2cQU9kQL+pBNed/tUjb+xz4++Zv+QYf4j/fSvYkHNeP/ALVn/JnHxA/7Bh/9GJWFV3TY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\nfwfpXq46V5B8K7j+1fj58aNd3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- "metadata": {}, - "output_type": "pyout", - "prompt_number": 21, - "text": [ - "" - ] - } - ], - "prompt_number": 21 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Adding YouYube videos\n", - "\n", - "I am making the video small as it does not embed into the final output pdf." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.display import YouTubeVideo\n", - "YouTubeVideo('iwVvqwLDsJo', width=200, height=200)" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "html": [ - "\n", - " \n", - " " - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 22, - "text": [ - "" - ] - } - ], - "prompt_number": 22 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Plotting with Matplotlib\n", - "matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from matplotlib.pylab import xkcd\n", - "#xkcd()\n", - "CustomPlot()\n", - "from numpy import *\n", - "\n", - "#generate some data\n", - "n = array([0,1,2,3,4,5])\n", - "xx = np.linspace(-0.75, 1., 100)\n", - "x = linspace(0, 5, 10)\n", - "y = x ** 2\n", - "\n", - "fig, axes = plt.subplots(1, 4, figsize=(12,3))\n", - "\n", - "axes[0].scatter(xx, xx + 0.25*randn(len(xx)))\n", - "axes[0].set_title('scatter')\n", - "axes[1].step(n, n**2, lw=2)\n", - "axes[1].set_title('step')\n", - "axes[2].bar(n, n**2, align=\"center\", width=0.5, alpha=0.5)\n", - "axes[2].set_title('bar')\n", - "axes[3].fill_between(x, x**2, x**3, color=\"green\", alpha=0.5);\n", - "axes[3].set_title('fill')\n", - "\n", - "for i in range(4):\n", - " axes[i].set_xlabel('x')\n", - "axes[0].set_ylabel('y')\n", - "show()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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EEKIBmjx5MkFBQURGRpbvu3TpEoMGDaJDhw5ERUWRlZVV/tqCBQto37494eHh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\ndJc6L3fiLudUarRdl9Ro10xqtF2Hu1x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Og6Oqsz2Af29v6eyEkHQ2JGwhCyGLQIBHhuRh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\nOSl0/omRa0Lm1ZUrVxASEoIXXngBqampeOmll2C1WnmN8TAl5a07aN7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- "text": [ - "" - ] - } - ], - "prompt_number": 23 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Combined plots" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "CustomPlot()\n", - "font_size = 20\n", - "figsize(11.5, 6) \n", - "fig, ax = plt.subplots()\n", - "\n", - "ax.plot(xx, xx**2, xx, xx**3)\n", - "ax.set_title(r\"Combined Plot $y=x^2$ vs. $y=x^3$\", fontsize = font_size)\n", - "ax.set_xlabel(r'$x$', fontsize = font_size)\n", - "ax.set_ylabel(r'$y$', fontsize = font_size)\n", - "fig.tight_layout()\n", - "# inset\n", - "inset_ax = fig.add_axes([0.29, 0.45, 0.35, 0.35]) # X, Y, width, height\n", - "inset_ax.plot(xx, xx**2, xx, xx**3)\n", - "inset_ax.set_title(r'zoom $x=0$',fontsize=font_size)\n", - "# set axis range\n", - "inset_ax.set_xlim(-.2, .2)\n", - "inset_ax.set_ylim(-.005, .01)\n", - "# set axis tick locations\n", - "inset_ax.set_yticks([0, 0.005, 0.01])\n", - "inset_ax.set_xticks([-0.1,0,.1]);\n", - "show()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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isRh9+/ZFq1ateKnpTRwdHXHixAmsXLkS9+/fR25uLjIzM3Ho0CHe8iCEEKIe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\nr5/i4uIkSaFQSHPnz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- "text": [ - "" - ] - } - ], - "prompt_number": 24 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Adding text to a plot" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "CustomPlot()\n", - "figsize(11.5, 6) \n", - "font_size = 20\n", - "fig, ax = plt.subplots()\n", - "ax.plot(xx, xx**2, xx, xx**3)\n", - "ax.set_xlabel(r'$x$', fontsize = font_size)\n", - "ax.set_ylabel(r'$y$', fontsize = font_size)\n", - "ax.set_title(r\"Adding Text $y=x^2$ vs. $y=x^3$\", fontsize = font_size)\n", - "ax.text(0.15, 0.2, r\"$y=x^2$\", fontsize=font_size, color=\"blue\")\n", - "ax.text(0.65, 0.1, r\"$y=x^3$\", fontsize=font_size, color=\"green\");" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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LFy6gffv2ZfYL7t27N2JjYxETE/PEV1+s6a+BoeRPZLT02qITkc6MGTNGKBQKsWbNmn98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- "text": [ - "" - ] - } - ], - "prompt_number": 25 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## xkcd style plotting\n", - "[matplolib v1.3](http://matplotlib.org/xkcd/examples/showcase/xkcd.html) now includes a setting to make plots resemple xkcd styles." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from matplotlib import pyplot as plt\n", - "import numpy as np\n", - "\n", - "plt.xkcd()\n", - "\n", - "fig = plt.figure()\n", - "ax = fig.add_subplot(1, 1, 1)\n", - "ax.spines['right'].set_color('none')\n", - "ax.spines['top'].set_color('none')\n", - "plt.xticks([])\n", - "plt.yticks([])\n", - "ax.set_ylim([-30, 10])\n", - "\n", - "data = np.ones(100)\n", - "data[70:] -= np.arange(30)\n", - "\n", - "plt.annotate(\n", - " 'THE DAY I REALIZED\\nI COULD COOK BACON\\nWHENEVER I WANTED',\n", - " xy=(70, 1), arrowprops=dict(arrowstyle='->'), xytext=(15, -10))\n", - "\n", - "plt.plot(data)\n", - "\n", - "plt.xlabel('time')\n", - "plt.ylabel('my overall health')\n", - "\n", - "fig = plt.figure()\n", - "ax = fig.add_subplot(1, 1, 1)\n", - "ax.bar([-0.125, 1.0-0.125], [0, 100], 0.25)\n", - "ax.spines['right'].set_color('none')\n", - "ax.spines['top'].set_color('none')\n", - "ax.xaxis.set_ticks_position('bottom')\n", - "ax.set_xticks([0, 1])\n", - "ax.set_xlim([-0.5, 1.5])\n", - "ax.set_ylim([0, 110])\n", - "ax.set_xticklabels(['CONFIRMED BY\\nEXPERIMENT', 'REFUTED BY\\nEXPERIMENT'])\n", - "plt.yticks([])\n", - "\n", - "plt.title(\"CLAIMS OF SUPERNATURAL POWERS\")\n", - "\n", - "plt.show()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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mzcumd29YsgRmzHAwcaJPhpcSh0yddYjKyspi4MCBnHXWWT9rgVQaN5FISE9B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vJm9ceumlrsdiWZY9fMM5TlYFYalDByzLkiVLlsiDDz7YYdxkKhVA1tfXZ3ye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\ndNqRnp6OPn364N69exCJRHB2dsbixYvh7+9fp1FVWVkJiUR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- "text": [ - "" - ] - } - ], - "prompt_number": 26 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Symbolic math using SymPy\n", - "\n", - "SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries.\n" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from sympy import *\n", - "init_printing(use_latex=True)\n", - "x = Symbol('x')\n", - "y = Symbol('y')\n", - "series(exp(x), x, 1, 5)" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "latex": [ - "$$e + e x + \\frac{1}{2} e x^{2} + \\frac{1}{6} e x^{3} + \\frac{1}{24} e x^{4} + \\mathcal{O}\\left(x^{5}\\right)$$" - ], - "metadata": {}, - "output_type": "pyout", - "png": "iVBORw0KGgoAAAANSUhEUgAAATkAAAAfCAYAAACcY7puAAAABHNCSVQICAgIfAhkiAAAB6JJREFU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\nampqampqampqSvF//lWFTKLgGsQAAAAASUVORK5CYII=\n", - "prompt_number": 27, - "text": [ - " 2 3 4 \n", - " \u212f\u22c5x \u212f\u22c5x \u212f\u22c5x \u239b 5\u239e\n", - "\u212f + \u212f\u22c5x + \u2500\u2500\u2500\u2500 + \u2500\u2500\u2500\u2500 + \u2500\u2500\u2500\u2500 + O\u239dx \u23a0\n", - " 2 6 24 " - ] - } - ], - "prompt_number": 27 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "eq = ((x+y)**2 * (x+1))\n", - "eq" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "latex": [ - "$$\\left(x + 1\\right) \\left(x + y\\right)^{2}$$" - ], - "metadata": {}, - "output_type": "pyout", - "png": "iVBORw0KGgoAAAANSUhEUgAAAHQAAAAbCAYAAACtOKuoAAAABHNCSVQICAgIfAhkiAAAA+lJREFU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\n", - "prompt_number": 28, - "text": [ - " 2\n", - "(x + 1)\u22c5(x + y) " - ] - } - ], - "prompt_number": 28 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "expand(eq)" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "latex": [ - "$$x^{3} + 2 x^{2} y + x^{2} + x y^{2} + 2 x y + y^{2}$$" - ], - "metadata": {}, - "output_type": "pyout", - "png": "iVBORw0KGgoAAAANSUhEUgAAAQ0AAAAbCAYAAABm6to6AAAABHNCSVQICAgIfAhkiAAABP5JREFU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\n7l6NeSaTyWQymUwmk8lkMpke518QvOZokU+z1gAAAABJRU5ErkJggg==\n", - 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"\n", - "Cape_Weather = DataFrame( read_csv('data/CapeTown_2009_Temperatures.csv' ))\n", - "Cape_Weather.head()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "html": [ - "
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highlowradiation
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" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 32, - "text": [ - " high low radiation\n", - "0 25 16 29.0\n", - "1 23 15 25.7\n", - "2 25 15 21.5\n", - "3 26 16 15.2\n", - "4 26 17 10.8" - ] - } - ], - "prompt_number": 32 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "CustomPlot()\n", - "figsize(11.5, 6)\n", - "font_size = 20\n", - "title('Cape Town temparature(2009)',fontsize = font_size)\n", - "xlabel('Day number',fontsize = font_size)\n", - "ylabel(r'Temperature [$^\\circ C$] ',fontsize = font_size)\n", - "Cape_Weather.high.plot()\n", - "Cape_Weather.low.plot()\n", - "show()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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2DLVr19YJZaAktVJ5ZqwzDONFzMwPNEueuTTxl6KNKT9t27bFV199BQC48847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XVdZONBn54aTRRlGkQvMAxDtuMGettFMAwDe2eCIfcGCZ84uVfe/8xRRsepXlzA9yEuNtR7KuMV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2E0FK1OLOsHZyGWBW0dfXEFQIvvbKz4RUmSao2fbSyYcOGZFVLUBYqiIOes3gC04hEsvV6t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\nP/wwps/07NkTNpstxkZr165FTk4Oe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- "text": [ - "Figure(920x480)" - ] - } - ], - "prompt_number": 33 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "CustomPlot()\n", - "figsize(11.5, 6)\n", - "font_size = 20\n", - "title( 'Mean solar radiation(horisontal plane)', fontsize=font_size)\n", - "xlabel('Month Number', fontsize = font_size)\n", - "ylabel(r'$MJ / day / m^2$',fontsize = font_size)\n", - "Cape_Weather.radiation.plot()\n", - "show()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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88gsLDw9nzZs3l3wKyFOmFYVWrVqxoKCg25ZbuHCh7Fxq1arFvvjiCyktnWuq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2AAAg\nAElEQVQAk3+TTabTSDAok+2EEMdJKcVPSCmFaIrC4TAGLcgT43JwWows2XaY2d/twul0xntpQtQL\nRVGw2e3847PNuANhzs5OY0yvdKkrFkIAUkrxs6SUQjRVgUCAdLvKjLG9MSgKL/+wmyWFpdjt9ngv\nTYg6Z7fbeS+viJV7jpJsM3HveV0lFAshTiLB+Cc0TYtpTrYQjYHX66V/ZgK3n90FgGmf5rPjqB+r\n1RrnlQlRd8xmM3uOBXh2aSEAU0Z0x2HUpV+xEKLSiTvGUkpxglj61wnRmLjdbq7ol8GY3hn4Qxp3\nfbCeY0FFOlWIJklRFExmC/cvzMcf0vhtnwzO6tQCr9cb76UJIRqgBtPHuCHQdR1N0zAYDLJjLJos\nXddxu93cc142A9olU+IOMOn9dehG6VQhmh6Hw8HcFbvZdthFmyQrk8/Jxu12x3tZQogGJlItEMmB\n0WiywTjysZoEY9HUaZpGwOdlxtjedEyxU1jiZsonm7Da7PKJiWgyLBYLW0u8vPzDbhTggVE9IRyQ\n1mxCiJMoilIlB0ajyb5qRp4QCQaiOQiFQhi1IDMv7UuyzcSKXaU89tU2HNLGTTQBVquV8pDK/Qvz\n0XSYcFo7eqc78Pv98V6aEKKBijUHNtnUGHlCjEaj7BiLZiEQCJBqgX9dkoPFqPLRhmJeWLFH2riJ\nRktRFJxOJ5sO+7jutZXsOeohK9XOH4ZkSRcKIcTPOnHH2Gg0RnXfJh+MpZRCNCc+n4+uqVYeGdMb\nVYG5y3cxf8MBCcei0TEYDDidTt5cU8St766l1BNkYPsWzLkqFy0o0+2EED9PSilOIfKPppRSiObG\n4/EwuEMSU0Z0B+CxxVtZuuMoDocjzisTonrMZjOqxcbfFhTw7NJCNB2uP6MDT17aBzXkl+l2Qohf\nFWsObLKpMRQKAVJKIZonl8vFRT1b8aehndCB+xZuIq/YJQNARINns9k47Icb31zDkm2HcVqMPDEu\nh4lntMfjclX+2y6EED9HVdUqOTCq+9bFghqCyI6CyWSSj9xEs+Ryubh2YFuuzG1LMKxz94cb2F4q\nA0BEwxSpJ15d5OL611ezo8RNxxQ7L19zGoPaOnG5XLLJIYSoFkVRquTAaDTZYCw7xqK503Udl8vF\npLM7c0GPdDzBMHe8v44DHg2LxRLv5QlRyWg04nAm8OIPe5n0/npc/hDnZKfx0jUDaGnRZYCHECIq\niqLIjvFPnfhOQYKxaK50XcftcnHfyG4M7ZzKMW+Q297N42hAwWw2x3t5QmCxWPArZm5/fz0vLN+F\nAtxyViceGdMTze8lEAjEe4lCiEZGdoxPwe/3YzQaUVVVgrFo1jRNw+f18MjoXvRvm8Qhl59b3l2L\nK2yQcCziym63s7s8xHWvr2LVnqOk2E08c3k/rhnQBldFReWpciGEiIaqqlVyYFT3raM1xV0wGKx8\n0ZcaY9HchcNhQn4vT4zLoWfrBIqO+bhtXh4e3RD1u2khaspgMJCQkMCnm0uY+NYaDlX4yclM4vVr\nB5KTbpN6YiFEjUR2jGPZ/GnSwTjygi//wArxv7r7oI+nLu1Ll5YOdpV6+PO8dQRVs4RjUW8irdim\nfbaFR77Ygj+kMTYng1mX98VKEJ/PF+8lCiEauUgwjuW1rckG41AoJPXFQvzE8dHRAWZd0Y+sVDuF\nJW5um5dH2GCO+oCCENFyOBzsc2lc99oqPi84iNWk8vdRPfjbeV3xe93Sik0IUSsih+8kGJ8gEAhI\nRwohTiEYDGIhxLOX96Ndso2th1zc8f56MFll51jUiUjpxEebDnHDG6vZc9RLdpqT1343kHO7pFBe\nXi4lb0KIWhGpKY7kwKjvX9sLaigi7xTkH1shThYIBHCoYf59ZX8yk6xsKi7nVtk5FnXAYrGgGa1M\nXVjAY4u3EghrjMvJZO6EXFpadDweT7yXKIRoQhRFAZAd4xPpuk44HMZgMMiOsRA/IxAIkGAI89yV\n/WmTZKXgQAV/fm8dmKwSjkWNRQZ2FJT4ufrVlfx362EcZgMPj+nFX8/tQsDrltHOQohapyhKlRwY\nrSYZjCO7xLE8IUI0J4FAgESjxnPjcyvD8R3vSzgWNWM2m7E5nDz3/W7+9M5aDlX46ZORyOvXDWJY\nxyQqKirk0zwhRJ1QFKVGObBJBuNI70vZMRbi10V2jv99ZX9aJ1rYUFQu4VjERFEUHA4HxR6d699Y\nw6s/7kFR4MbBHXlufD+SjWGZYieEqHMn5sBoSTAWQhAIBEg26fznytzKcHy7lFWIKJhMJhzOBN5d\nd4BrX1vJtsMu2iRZef6qAdx4ejs8LpeUTggh6pyiKBKMf6omT4gQzZXf7yfFrPP8+FwyEq1sLC7n\nz+8d73MsE/LEz1EUBbvdTlnIwK3z8nhqyXaCYZ2LczJ547qBZLcwycAOIUS9kWB8CpFemNKuTYjo\n+P1+kkw6/zmhW8XEt9ZQIeOjxSkYjUacCQl8nH+YCS//yNp9x0h1mPnXJTncc24XQj4Pfr8/3ssU\nQjQjkR7GgLRrizjxCZEDHkJEx+/3k2zSeOGqXLq2crLnqJeb315DeUjFYrHEe3miAYjsEpeHjdw6\nbx2PLd6KNxjmvG6teOv3gzgt0yEH7IQQcSHB+BRq8oQIIY7XHNuUEP+5oh89Wiew/5iPiW+t4ZBP\nx2q1xnt5Io4itcQfbDzEVS//yJq9ZaTYTUz/bW8euqgHhpBPxjoLIeJGgvEpyI6xEDUXDAZRwwGe\nvawvOZlJHKzw88e31rK1NEBiYiI2m03efDYjqqridDrZ79aZ+PZa/vXfbZW7xG//fhBD2idQXl5e\nWdsnhBDxUNNg3CRf1U4supZT0ELELhgMYtR1nrmsL3d/tIEfdx/lpjdX0zHFzrndWnF2dhrZLRMJ\nBoMEAgEJRU2UxWJBMZp57vtdvLFyL2FdJ81p5p7zuzE0KwW3240vIP/vhRANQ00O3zXJYBzZJVZV\nVQ7fCVFDoVAIXffw+MV9mLVsB58VHGRXqYe5y3cxd/kuOvwvJJ/frRVZKQ4CgQCBQEA+rWkCDAYD\ndrudlXuPMf3LPIqO+VCAK3Pb8sczszDqIcrLy+O9TCGEqHTigA9Vjb4wQtGbYHLctm0b+/bt45xz\nzpGP9oSoJaqqYrPZUFQDq/eW8fW2wyzZdphSz/99KtOjdQKje2UwonsrHCalMiSLxsdms+HTVJ5c\nsp2Fmw4AkJ3mZMqIbnRLs+PxeOTNjxCiwUlISGDnzp2VOTBaTXLHOBQKVW6fN8HcL0RcaJqG2+0G\noHeahf6ZWfzl3GxW7ynjq62HWbzlEAUHKig4UMG/vt7GWZ1SGdevDYPaJxMKBvH7/RKkGgGTyYTV\nav3/7d15eBRVojbwt3pJOgvpBLJCgIQ1rAEZwg5CEByMIjBcGQQUBEH4cHQGvYo67iJ6HWEYHAcH\nrl5RGdARHRhgMAIBFBCBBCOrQEggIStZO510d31/xFNUV7pDEpBOOu/vefpJL9XVp09Xqt46deoU\n/nMqHyt3n0FhRTV8DTo8PDQW025rh+oqK8rKyjxdTCIil0Qf48Zey6LJB+Pdu3cjJSUFf/zjH52e\nz8rKwurVq1FYWIikpCQkJSVBkiQANWG4Mc3nRFQ/1dXVSv/93mG+uK1dJ/x+dBfsOZuPbT9ewcEL\nhdh9Nh+7z+ajrdmEpF5RmNi3LUL8dbBarez73wTpdDr4+/sjs7gKb25Nw+GLVwEA/aPNWDo+Dm0D\njago54U6iKjpu5Ec2GS7UsiyjD//+c/4wx/+gF69eiE1NVV57bPPPsOsWbMQFRWFjh07Yvfu3Zgy\nZQo2bNgAnU6HH374ASUlJRg6dCiuXr3KFTnRLSBJEnx8aq6Sd7XSjn/9kI3NaZdxubhm6C69JGFU\n11BM7R+N/u2CUFVVBavVyv/PJsDX1xfQ++Bv35zHP77Pgl2WYfYz4ne3d8GEHuGwWCzcmSGiZsFs\nNuPHH39UcmBDNdlg/NVXX2H8+PGIjY1FYGAgjh07BgDIy8tD586dMX36dKxatQpGoxGHDh3C4MGD\nsWXLFkyYMAGpqamorKzEoEGDGIyJPECnq7kYiMFoxPeZxfg89RJ2n82H3VHzv9gpNAD/1T8av+4R\nAT3ssFqtPBfAAwwGA/z9/XEgowhvfHUal4sroZOASfHtMH9YLPx0DlgsFk8Xk4io3sxmM44fP67k\nwIZqssG4uroaWVlZ+POf/4zk5GSkpaUBANasWYMnnngCly9fRkBAgDL9HXfcgeDgYGzatAlHjx6F\nzWbDwIEDUVRU5KmvQESo6bPq6+uLq1YHPk+9hH+mXkZBec0Jea18Dbi3b1tM7d8Oof4GdrO4RSRJ\ngp+fH4qsMt76+gx2n8kDUHNy3XN3xqFLGz9YLBburBBRsxMcHIxjx44pObChmmwfY6PRiNjYWFy9\nehVms1l5fteuXbj99tudQjEA9O7dG7t37wZQ0w1D9DcmIs8S/ZF9dDrMGtAWDw7qiN1n8rHhSCaO\nXy7Bh99dxMeHMzG6WxhmJnRA97AgHrr/BZlMJsg6I/7v+0z836EMVFY74GfU4+Fhsfivfm15ch0R\nNXs3kgObbDAWCgoKEBERoTwWXSm0zGaz0jqsrpCQkBC382ZrMtGt43CIw/IWDO/YCond+uNkbjk+\n+T4TX53KVW6DY1pjzpAY9I0KQmVlJYd7u0kMBgP8/Pyw73wR3kw+jdxSKwBgbPdwPDa6C4J9JJ5c\nR0TNiruMdyPBuMkP3ZCfn+8UjIODg10OKF9SUuLUsixIkuT29vrrr/+iZSci16xWK0pKStCxlQ7P\nj++GLx8eihkDO8DfqMeBC4V4+JMjeGTjMfyQZ0WrVq3g4+Pj6SI3W5IkISAgAOWyEX/YnI4nNh9H\nbqkV3cMD8e60/nh5Qhz85CpUVFQwFBNRs/LCCy/UynY3qsm3GJeVlTkF3qioKBw+fLjWdCdOnEC/\nfv0AOF/1RK/Xs58cURMlulmY9Ho8MrQDHkjogH8cycLGo1k4mlWM/7fpGPpEBWHBiE4YEG1mC3ID\n+fj4wOjji4+PZOHv31yA1eZAoK8BC4bHYnLftqiyVqK0tNTTxSQiumkcDodTDmyoJt9i7Ovr69TX\ncOzYsTh48CCys7OV5woKCpCSkoKEhAQANcFYtHw0doBnIrp17HY7ysvLIVVb8ODAdtg8bwgWjugE\ns8mA49klWLTxGBb84xiOXbEgKCioZngxckmSJBiNRgQGBiKj1I4HPzqC1SnnYLU5MLZ7ODbOTsC9\nvcJRXlbKnQwi8jp2u90pBzZUkx2VwuFwYN++fXj88cfRpk0bvPDCCxg6dCgsFgu6deuGLl26YPXq\n1ZAkCbNnz8aJEyfw008/ITQ0FMeOHUNVVRUSEhLYj5ioGdLpdDCZTLBBh41HL2H9dxdRUmkDUDNy\nwsPDYjE8NgRWq7VFhjudTge9Xu/0V6fTQYaEwopq5JVZseWHbPwz9RIcMtDWbMLScXEYEB2EiooK\nHkUjIq8VHByM1NRUJQc2VJPtSrFjxw4kJSUpTeE//PADLl26BD8/P2zduhWzZ89Gr169AADdunXD\n5s2bERoaCsC5xfhG9hqIyDMcDgcqKiogSRKm94/Cb/q1w+a0bHx8+CLO5JXhic3H0betGfOGxuBX\n7c1eG5BF8FXfZEjIKanEubwKZBRWILOoAplXLcgutuBKqRU2x7X1nV6SMP1X0VgwLBayrYrdJojI\n64kT77yuxVgQxdNe3s9ut+PYsWOw2+247bbbYDBcy/jHjx9HWVkZhgwZwgt8EHkBSZJgMpkAvQFf\nHM/Ge99cQLGlpotVfDszHh3VBT0jAlBZWdlsh3nTBmC9Xo/csiqcyi3F+YJynM+vwJm8MlwsqoDV\n5r7vXGt/I8ICfdEu2A+zEjqiW6gfKioqGt3fjoioOTGbzUhPT1dyYEM1+WDcGOnp6bh69SqGDRuG\n4uJibhCIvIQIyDZJj0+PXcL6QxdR/HMXi9u7hOLhYZ0Q29oEi8UCm83m4dK6J0kSDAYDDAYD9Ho9\nJJ0eFworcDq3FGfyynHySilOXilFmdX1dwgP9EVMG390bO2PDiH+aB/ij3ZmEyKDTPDR15x04nA4\nUFVV1Wx3FIiIGiMoKAgnT55UcmBDNdmuFDdCp9MxDBN5IVmWYbFYIEkSftsvClPi22H9dxfx0eFM\n7D6bj91n85HYLQxzh8YiJqRVkwnIOp1OCcIGgwFlVQ4czrqK9OwSnLxSirRLxaiort3vN9jPiK5h\ngegcFoDYNgHoEhqITqEB8DfqYLfbYbfb4XA4fv5rg6WsBLyAMxG1dDeSA70+GPMKeETeR5ZlVFRU\nQKfT4aFB7TG1fzQ+OJSBfx67jOTTeUg+nYfRXcMwf3gsOgbf+oCs1+udWoTzK6qRmlmMo5lXkXqp\nGGfzyqA9VNfWbEJcRCt0CQtEt/BA9IwMQht/oxKARQi2WcpQXOF1B/qIiG4K0fWWwViFYxcTtQwO\nhwPl5eXw0euxeHgMZiV0xAcHM7A57TJ2ncnD7jN5SOwejoeGxPxiLciiP7AIwtUOGWfzyvFjTiGO\nZBbhaNZVFFY4d2cw6iX0aWtGfDsz4sJboXdbM0IDjLDZbKogXIni4oqbWlYiopbgRnKg1wZjWZaV\nQZ6JyLuJcZB99Xo8OiIGDw7qiHUHLuDz1Mv46lQukk/lIrF7OB4c1BFdQoNgsVga1fdWdIkQYVin\n1yOzyIIfLpbgWNZV/JBdggsFFbBrTt0IMhnQMzII/aODER9tRs+IVjDqAJvN9nMYZggmIroZZFl2\nyoHqgRvqwyuDsdFoBFBzVS0GY6KWQwRkH70ej42MxYODYvB/hzLwz9RL+OpULr46lYvBMa0xd2gs\nekcGub2SnhgXWD1ChKTTIfOqBacvl+FMXhlOXilFenYJSjUnyOkkILZNAHpGtkKftmYM7BiCaLMJ\ndrtdCcKV5aWovFWVQkTUgsiy7JQDG3pBKK8MxuJqd+LqJ0TUsoiAbPq5BXnGwA74+HAmNqddxoEL\nhThwoRADO4TgwcEdMSDarBxy0+v1gCQht9SKjPwKnCsox7n8cuVveVXtQ3Phgb7oFRWEvu1qukZ0\nCQ2Aj15yCsLFxcW3ugqIiFok0WIMoFHdKbwyGIsxjW02m9P4xkTUsoiA7K/X4/8N74jZgztiw/eZ\n+MeRLHx3sQjfXSxCt/BA9IhohauWamReteDSVYvbcYLDA30RF/nzCXJhgegVFYTwQB+lbzBbg4mI\nPEuWZacc2FBemRrVTejiPhG1XCIg63Q6zEmIxv2/ao9Pj13GxqNZOJ1bhtO5ZU7Tt/b3QUwbf8S2\nDkCn0ADEtvFHp9BAhPgZlABcc4KcFcXFHCCNiKip0HalaCivDMaiozVPviMiNXGpaZ1Oh+n9I3H/\nr9oj5ad8lFltaGUyIjrYD9HBfvA36pTxgZVbdQWKqzhMGhFRU6a+UnJjhmzzymDMPsZEVBeHw/Hz\nhUIqMSQ6AJIkKWcwc5xgIqLmi32MXVD3LWEwJiJ3ZFnmJZOJiLzMjfQxbtjgbs3EjTShExEREVHz\ndKNdKbwyGIsmdLYYExEREbUc6q4UbDH+mRiYn8GYiIiIqOUQLcYiBzaUVwZjAPDx8UFVVVWDLwVI\nRERERM2TLNecPC1yYEN5bWo0Go28JDQRERFRCyL6FYsc2FBeG4z1ej2HayMiIiJqYUQ/48YM1+a1\nwVjdhM7uFEREREQtgyzL7Eqhpa4QthoTERERtQwOh4PBWMtgMMBut0OWZQZjIiIiohZClmWnHNgQ\nXh2MAV4WmoiIiKglEcEYaPhlob0+GFdVVTEYExEREbUQ6mDc0O4UXhuMfX19AYBjGRMRERG1ILIs\nO+XAhvDaxGg0GgGAYxkTERERtSAOh8MpBzaE1wZj0YTOy0ITERERtRzqrhQNvSy01wZjvV4PgCff\nEREREbUk4gIfAE++U7DFmIiIiKjlYYuxCzqdDpIkMRgTERERtTDqHNig9/1C5fE4SZIafZ1sIiIi\nImqexMXdGpMDvTYYAzXh2OFwsMWYiIiIqIUQV7sTObAhvDoY6/V6BmMiIiKiFkjkwIbw+mDMrhRE\nRERELYdoMWZXCg2dTscWYyIiIqIWRARjkQMbwquDsSRJSuUQERERUcvRmBzIYExEREREXofB2AUx\nZAcRERERtSwMxioMxEREREQtU2NyoFcHYyIiIiKi+mIwJiIiIiKClwdj0b+YJ+ARERERtSyNOc+s\nRQRjIiIiImpZGIw1GIyJiIiIWiYGYw0GYyIiIqKWRWQ/BmMNcTlo9jEmIiIiallEDmwIrw7GsixD\np/Pqr0hERERELjQmB3p1anQ4HNDpdGwxJiIiImohRCuxyIEN4dXB2G63Q6/Xe7oYRERERHSLiGDc\nmBzYIoIxW4yJiIiIWhYGYxWHwwFZlhmMiYiIiFoQSZKccmBDeG0wrq6uBgAYDAYGYyIiIqIWQpIk\npxzYEF4fjH18fOBwODxcGiIiIiK6FXQ6nVMObNB7f4kCNQU2mw0AW4yJiIiIWhJJkpxyYEN4bTAW\nrcQcx5iIiIioZWlsDmxYjG5G2GLcPISEhOCFF15QHv/ud7/zXGGoTvytmg/+Vs0Hf6vmg79V8+Hn\n54fS0lIADW8xluRmlhrLy8vx9ttvK/1HqqqqoNfrUVZWhieffBKRkZEAgEuXLuHkyZMYNmwY7HY7\nqqqqPFxyciUkJMTpco2FhYUeLA3Vhb9V88Hfqvngb9V88LdqPkJCQpxyoMlkqvd7m12LsSRJePnl\nl2E2mxEZGQmDwQC73Y6OHTsqHa0BKEHYaDQ6PU9ERERE3k2dAxui2QVjf39/6PV6vPbaa5g7d67b\n6aqrq6HX6zmOMREREVELo86BDdHsgnFZWRksFgv8/Pzw1ltv4dy5c+jQoQMWLFgAs9msTGe325UO\n1wzGRERERC2HOgc2RLMLxtnZ2QCAWbNmISIiAr1798bGjRuxZs0apKWlISAgAEBNhYgO180tGOt0\nOkiS5HQDUOs5V6+7+qu+L+rC1V9x0z6u67XmPka0q7p2Vd/ax+rnxWtq2sdA7eWwrt/A1U1cxUf7\nezQX6npzV+/iefX04r56Pmru6lV9X/1X1KN4XFddewOTyeRU3+7uA66XebX61P311hV1LdPNiag7\nV8uy2BjXVZ/q+w1ZN2gfX2894U10Ot111x0NXYYB99tFcV9dl3/9619RVFSEkpIS+Pr6uv0Nmpsb\nqdfrbQ/drSfU9+vKG2KZbuh6WZ0DG6LZBeMrV64AAO6++25s2LABJpMJWVlZ6N69Oz7++GPMmzcP\ngPP1sYODg13Oy2KxAECtlYl4ztUG9npcbWTU9+takWoXLofDAbvdDofDAZvNBpvNBofDgerqaths\nNtjtdlRXV8NutyvTqW+uFjL15+n1euVzDQYDDAaD8rx4LG7icIT6Peq6cbdS1m4MXdVt586dUVlZ\nierqakiSdN26vl79NuSm/g7a+lTf1L+B3W5X/tYVstwtG9qbqFN1PYt6NxqNyn11wHH1ee7Cs7uN\nqvq7X4/4zLi4OPj4+KBVq1YwGAz1Wom6Wl5sNpuyHKtv6ue0y7P2f1Rbr+K+q+An6lfUqbqe1Y/F\nb6Eua312WNz9/q42tPWh3fjUFVy1z4nyZ2VlwWw2IzAwUJmvWH9YrVbYbDZUVVXVWuZF3Yvvpl3G\n3dW9CC3qutUuy+p69vHxUZah69W1u/WZu/quT/3Wte5wtYPmbj1tt9thtVqVeqyurlbui3W4dv18\nvQCrXm7FMqlehsXzok616wptnarvu/rcuoKKul5/ieW4vutp9RFgcUK9et2hXZbFOtrdelBbTnXo\nFve1y7Rer8ekSZOUZVvkDFH32tZJV9vD+qyfG1LnjaljV+tIQb0tFHVa13pZTF9XeNWun7V1qs0Y\n6voU2z51dwh1fdYVfAMCAlBeXl5n/bnS7IJxr169sGzZMjz22GPKWYbR0dEYMmQIjh49qkynDsbp\n6elOKxIfH59aFW80GmE0Gm/6uMfix1MHKvWGSf1PXVVV5bRA2u32en2GOlypb65WLuqFV72yFvfr\nSyzMYuMm6s/X11epW3Udaxd+9T/i2bNnG1apLog6Vm+URF2KuhcrUvVr6n/4+lKHWPGPDrgOKdoy\nutrgN+Q30Ol0tZZhHx8fp99DvYFUbzRvxrJ94sQJAM47k6LexTKs3XFTr1xFMKvre7pbnrVhRVuv\n2nJp61hsJK9HvTxr61IEOhFIxOvugvXNJupbbKDUy7N6ObdarbDb7cjPz3f6Xa63ThHLizYgqOvb\nXd2r61nc6rNRF/Xt4+Oj1K26XsVj9TLuagf9RqjrVSyrYjkV38VqtTqFsfrWqavl2VXIVodZbZBW\n1+n16HQ6Zb2s3SFxtUy7Wj9r19E3m7aBR7u+Vt/Ea1VVVaisrERVVVWdy5Wob7Eca7eFYhpBrCdc\n7RCqb/Uh1s/qbaB6naxdr6h3HG92favXD9p6VS/jYrkWmaQ+31W7HKv/H9XbQ3VZANTKHvVdTwBw\n2r6pl2FXdSuW+ejoaBQUFDS47prdcG3ujBkzBu3bt8cHH3wAAHj55Zfx61//GgCUlZn4Ieoi/qm0\nP3RdLY3ir/pHFz92fX50sbEVK3zxz6RuHVCvxLQbjZu1IVavhN2tnFytxMQ/mKjn+nC1Z67dELur\nZ+0/Vn1XXOoWFlcbCVetWupl4Zdagalp619bx+q6Vj+ubwhxtWw3pL7VLQTX+zxXIV7Uu6+vr1Og\n19b/L1HH6pYQdZh09Vgsy+oNSn13HtWtIdplHHB/mFFb5+5azOtDXd/qwCk2Lr6+vk4b7psdNNXf\nQ12P6vWHeidKvYEW9V2f76o90uIuALnaIdWup69Hr9cr9abeSIv6dBfeb+aOkjo0q5dldR1r61G9\n/DZkhCbtcuxqWwi47hLiase/ocux2GlSr6/9/PxcNr6ol+VfYsdU1Lu2sUW93kb7TnEAABkjSURB\nVNCGTvW6pD717q6l2t362V0d13f9LEmS0/Irlm3t9lHb2PJL1K/6SJWrOhbBXbvNq08D4uuvv47E\nxEQ89dRT9S5PswzGlZWVTmPSXblyBV26dMGbb76JBQsW1PlebUuhWHFrWxO1QaCuQzHaQxTqFaJ6\nw69uvRMbq5u94vQ0dUuAuo61C7720Iur++7qWXsoRnuYXNslQWywvKmeXdGulLWt49pluzH1rV7G\ntUcDxArWG5drQSzf6sPm7jaS7pZrV7RBQ2wMXbWcaw+na1v7xPLenGmDiDYAqsOhur7dHZZ2dShZ\nvf5QNzioW520y3pzp24ZV+/saY86aG/uugGIeapp61nb+OHqcLm77nvewtURCfVRZFddFFxlEMFd\nHWuXbXVjxK1qgLjVRIbTNmqIdccHH3zgdFGW+mh2wXjnzp2YOnUqtmzZgmHDhuHcuXN44IEHkJ6e\njrNnz6JNmzaeLiIRERERNUPNro/xqFGjMH78eIwYMQImkwmVlZXo2LEjvvjiC4ZiIiIiImq0Ztdi\nLKSlpSE1NRVRUVEYPXp0rcMuRUVFyMnJQUxMDPz8/DxUSqovcbiuMUOr0K0lyzJ+/PFHdO/enb9X\nE2e1WlFSUoKwsDBPF4Wo2crIyEDbtm1rXUGtoqICGRkZiIyMREhIiIdKR2p5eXnw8fFxuq6FIC74\ncb1uUc2201Tfvn0xc+ZMjB071ikUV1ZW4qmnnkJkZCR69uyJTp06Yf369R4sKdUlJycH999/P/z9\n/eHn54e77roLFy5c8HSxqA6PP/44evfuzf+rJq64uBgjR45UhrCkpmnLli3o378/AgIC0K9fv5sy\nSg/dHLIs49VXX0VsbCy+++47p9fWrl2LmJgY9OzZE23btsXSpUvrPZIU/TI2b96MTp06Yd26dU7P\nnz17FklJSfDz84O/vz+mT5+O/Px8t/NptsHYncceewx//etfsWrVKqSnp2POnDmYNWsW9u3b5+mi\nkUZWVhYGDhyII0eO4O9//zvWrl2LtLQ0zJo1y9NFIze2bduGv/zlLzAYDLBarZ4uDrlRUVGBpKQk\n5OTkYMWKFZ4uDrlx4MABTJw4EZMnT8bmzZuRkJCAUaNG1bnRplvngQcewLPPPgtZlp2OPH/44YeY\nN28e5syZg/T0dKxevRqrVq3CW2+95cHStmyrVq3CpEmTUFZW5vRbpaamYuDAgcjPz8cnn3yCFStW\nYNu2bXj88cfdz0z2IhcvXpQlSZI/+ugjp+cTExPliRMneqhU5E5GRob87LPPyqWlpcpzL7/8suzv\n7+/BUpE7BQUFclRUlLxkyRK5devW8rvvvuvpIpEbixYtkmNiYuQLFy54uihUh3nz5skjR45UHufn\n58sA5J07d3qwVCQ88cQT8nvvvScDkL/99ltZlmXZ4XDIMTEx8sKFC52mff755+XIyEi5qqrKE0Vt\n8d555x35gw8+kIOCguQVK1Yoz6empsqvvvqqbLValefmzZsnx8XFuZ2XV7UY79ixAyEhIZg6darT\n8xMmTMA333zjoVKROx06dMDLL7+sXJnLbrdjy5Yt6Nu3r4dLRq4sWrQIJpMJL774oqeLQnW4cuUK\n1q5diw0bNqB169Y8vNuE+fj44PLly0oLsTiyGRQU5Mli0c/eeOMN9O/fHwCUVshTp07hwoULmD9/\nvtO0EyZMQE5ODrsCesgjjzyCmTNnory83Gk43759+2Lp0qXw8fEBUHM0befOnXXmDK8KxsePH0fX\nrl1rdZCPiIhAXl4eD/02YUVFRZgyZQq+//57vPTSS54uDmls3LgRGzZswHvvvQd/f39PF4fqsHLl\nShgMBsyePRtBQUEIDw/HE0880aCrO9KtsWTJEhQUFKBXr14YMWIE7r33XixduhQDBw70dNHoZ+LK\naeIE1uPHj0OSJMTFxTlNFxERAQDIzMy8tQUkRUlJCex2u9uTjbOysjBu3Djk5eXhmWeecTsfrwrG\n7s6QFy0mPIO+aUpJSUF8fDwOHTqEf//737jjjjs8XSRSOXfuHB555BEsXLgQiYmJni4OXcemTZtg\nMpkwc+ZMfPTRR5gxYwbeeustvPPOO54uGmnodDqEhobCZrMhPDwcvr6+SE5ORl5enqeLRj8rKCiA\nJElK2NLr9ZBludbIBswZnid2YiIjI2u99vnnnyM+Ph65ubnYs2dPy2kxDg8Pd3nSQnZ2NqKjo73q\nSjreYv369RgzZgyGDRuGH374gaG4CVqwYAEKCwvx97//HWazGeHh4SgsLMTSpUsxc+ZMTxePNC5f\nvow//elPePrppzF9+nSsXLkS9913Hz799FNPF400nn/+efj7++PMmTP47LPPcOzYMZw+fbrO1iy6\ntYqKimA2m5Uj0eHh4QBQK2tkZ2cDAGJiYm5p+eiaq1evAgBCQ0Odnl++fDkmT56MGTNm4NixYxgw\nYECd8/GqXZs+ffrg3LlzyM7ORlRUlPJ8SkoKBg0a5MGSkSuVlZVYuHAh5syZg7/97W9ecXlKb7Ri\nxQqkp6ejqqpKuf3+97/H7bffjilTpni6eKQRGBiI0tJSp+fatWuHEydOeKhE5M6mTZuwYsUKtG7d\nGgAQFxeHpKQkHDx40MMlI8Futyv9UwGgR48e0Ov12L9/v9P6LyUlBZGRkWjfvr0nikmA0l1M3Z32\n8uXLePrpp/HKK6/Ue4fTq1qMExMTERQUhLffflu5rnhycjK2b9+O8ePHe7h0pLV//36Ulpbi6aef\nBgCUl5ejuLjY6Zrw5Hk9e/bE1KlTcf/992P27NmYP38+/Pz8MG7cONx7772eLh5p9OrVC8nJycpj\nWZaxd+9eDB482IOlIi1xOF7b8piTk8OT75qQkJAQFBUVKdulNm3aYPTo0fjLX/6CyspKAMD58+ex\nevVqjBs3jg08HiR2MEXLMVAzKINer8eSJUvgcDhQWlpaq+FAy6tajH19fbFy5UrMnTsX+/btQ9u2\nbbF582YMHjyYY+M2QRaLBQAwePBg5Ofnw+FwAKjZIz969Ch8fX09WTyqA0c6aLoWL16MyZMnY8mS\nJRgxYgQ2bdqEY8eOYc2aNZ4uGqlIkoT58+fjj3/8I3JzcxEbG4uDBw9i586d+OyzzzxdPALwm9/8\nBocOHUJ1dTW6du2KtWvXYtSoUVi+fDnuuOMO9O7dG4MGDcL27dthNBp54rgHvfjii/jkk08AAElJ\nSXjqqaewePFiVFRUwOFwIDo6GgUFBcoOzujRo/H111+7nFezvSR0XY4fP463334bpaWluPPOO/HA\nAw+wQ3wTZLFY8P777ysnoAQEBECn0yErKwuzZ8/mnncTtmrVKowdOxY9evTwdFHIhQ0bNuDNN99E\nVlYWEhISsHTpUgwZMsTTxSINm82GdevW4csvv0RhYSFiYmIwf/58jBo1ytNFIwAfffQRcnNzIcsy\nJEnCb3/7W+XErry8PCxbtgwXLlxAv3798Lvf/c7lZYjp1khOTkZaWpoSfBMTExEfH4/CwkJ89NFH\n8PPzQ+vWrREQEACHw4Hi4mJMmzbN5by8MhgTERERETWUV/UxJiIiIiJqLAZjIiIiIiIwGBMRERER\nAWAwJiIiIiICwGBMRERERASAwZiIiIiICACDMRERERERAAZjIqImoaKiAm+++SYyMzNvaD6yLDeL\ny6pfvXoVFy5c8HQxi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- "text": [ - "Figure(920x480)" - ] - } - ], - "prompt_number": 34 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# lets look at a proxy for heating degree and cooling degree days\n", - "level = 25\n", - "print Cape_Weather[ Cape_Weather['high'] > level ].count()\n", - "print Cape_Weather[ Cape_Weather['high'] <= level ].count()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "high 59\n", - "low 59\n", - "radiation 5\n", - "dtype: int64\n", - "high 306\n", - "low 306\n", - "radiation 7\n", - "dtype: int64\n" - ] - } - ], - "prompt_number": 35 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Basic descriptive statistics\n", - "print Cape_Weather['high'].describe()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "count 365.000000\n", - "mean 21.545205\n", - "std 4.764943\n", - "min 12.000000\n", - "25% 18.000000\n", - "50% 21.000000\n", - "75% 25.000000\n", - "max 36.000000\n", - "dtype: float64\n" - ] - } - ], - "prompt_number": 36 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "CustomPlot()\n", - "figsize(11.5, 6)\n", - "font_size = 20\n", - "title('Cape Town temperature distribution', fontsize=font_size)\n", - "ylabel('Day count',fontsize = font_size)\n", - "xlabel(r'Temperature [$^\\circ C $] ',fontsize = font_size)\n", - "Cape_Weather['high'].hist(bins=6)\n", - "show()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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VulpbWateGbcNva2ir6GsFbrKWiEwdOUvY5lLSkr05WeJiCg6Qgg9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\njiY9evQguVz+l+vB2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- "text": [ - "Figure(920x480)" - ] - } - ], - "prompt_number": 37 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Typesetting\n", - "\n", - "### Latex\n", - "Latex is rendered using the mathjax javascript library " - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.display import Math\n", - "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "latex": [ - "$$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$$" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 38, - "text": [ - "" - ] - } - ], - "prompt_number": 38 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.display import Latex\n", - "Latex(r\"\"\"\\begin{eqnarray}\n", - "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n", - "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n", - "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n", - "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n", - "\\end{eqnarray}\"\"\")" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "latex": [ - "\\begin{eqnarray}\n", - "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n", - "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n", - "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n", - "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n", - "\\end{eqnarray}" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 39, - "text": [ - "" - ] - } - ], - "prompt_number": 39 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Using the Python Debugger - pdb\n" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%pdb on" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "Automatic pdb calling has been turned ON\n" - ] - } - ], - "prompt_number": 40 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "foo = 1\n", - "bar = 'a'\n", - "print foo+bar" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "ename": "TypeError", - "evalue": "unsupported operand type(s) for +: 'int' and 'str'", - "output_type": "pyerr", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mfoo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mbar\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'a'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0mfoo\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'int' and 'str'" - ] - }, - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "> \u001b[0;32m\u001b[0m(3)\u001b[0;36m\u001b[0;34m()\u001b[0m\n", - "\u001b[0;32m 1 \u001b[0;31m\u001b[0mfoo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0m\u001b[0;32m 2 \u001b[0;31m\u001b[0mbar\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'a'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0m\u001b[0;32m----> 3 \u001b[0;31m\u001b[0;32mprint\u001b[0m \u001b[0mfoo\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "stream": "stdout", - "text": [ - "ipdb> q\n" - ] - } - ], - "prompt_number": 41 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Loading Code Snippets" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%load http://pastebin.com/raw.php?i=mGiV1FwY" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [], - "prompt_number": 1 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "CustomPlot()\n", - "font_size = 20\n", - "figsize(11.5, 6)\n", - "\n", - "t = arange(0.0, 2.0, 0.01)\n", - "s = sin(2*pi*t)\n", - "plot(t, s)\n", - "\n", - "xlabel(r'time $(s)$', fontsize=font_size)\n", - "ylabel('voltage $(mV)$', fontsize=font_size)\n", - "title('Voltage', fontsize=font_size)\n", - "grid(True)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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b3wTj+CPlY/IcZOyyjD9tLcXeiiYYQjX4w+IhSI/2/caVMUmR+N8FjhXoL4/V4b2CMz6P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- "text": [ - "" - ] - } - ], - "prompt_number": 5 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## It's in a browser, can it do Javascript?\n", - "\n", - "[source](http://jakevdp.github.io/blog/2013/06/01/ipython-notebook-javascript-python-communication/)" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.display import HTML\n", - "\n", - "input_form = \"\"\"\n", - "
\n", - "Variable Name:
\n", - "Variable Value:
\n", - "\n", - "
\n", - "\"\"\"\n", - "\n", - "javascript = \"\"\"\n", - "\n", - "\"\"\"\n", - "\n", - "\n", - "HTML(input_form + javascript)" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "html": [ - "\n", - "
\n", - "Variable Name:
\n", - "Variable Value:
\n", - "\n", - "
\n", - "\n", - "\n" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 6, - "text": [ - "" - ] - } - ], - "prompt_number": 6 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "qwerty\n" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 7, - "text": [ - "'foo'" - ] - } - ], - "prompt_number": 7 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Saving a Gist\n", - "It is possible to save spesific lines of code to a GitHub gist. This is achieved with the `pastebin` magic as demonstrated below." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%pastebin \"cell one\" 0-10" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 8, - "text": [ - "u'https://gist.github.com/6651917'" - ] - } - ], - "prompt_number": 8 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Connect to this kernel remotely\n", - "Using the `%connect_info` magic you can obtain the connection info to connect to this workbook from another ipython console or qtconsole using :\n", - "\n", - " ipython qtconsole --existing" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%connect_info" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "{\n", - " \"stdin_port\": 55291, \n", - " \"ip\": \"127.0.0.1\", \n", - " \"control_port\": 55292, \n", - " \"hb_port\": 55293, \n", - " \"signature_scheme\": \"hmac-sha256\", \n", - " \"key\": \"dcc990e7-2eeb-4c41-8099-a25cf2308be4\", \n", - " \"shell_port\": 55289, \n", - " \"transport\": \"tcp\", \n", - " \"iopub_port\": 55290\n", - "}\n", - "\n", - "Paste the above JSON into a file, and connect with:\n", - " $> ipython --existing \n", - "or, if you are local, you can connect with just:\n", - " $> ipython --existing kernel-5db61520-8ecd-492b-9afb-5c8e65985a19.json \n", - "or even just:\n", - " $> ipython --existing \n", - "if this is the most recent IPython session you have started.\n" - ] - } - ], - "prompt_number": 9 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Publishing your Work\n", - "Newly added in the 1.0 release of IPython is the nbconvert tool, which allows you to convert an `.ipynb` notebook document file into various static formats.\n", - "\n", - "Currently, nbconvert is provided as a command line tool, run as a script using IPython. A direct export capability from within the IPython Notebook web app is planned.\n", - "\n", - "The command-line syntax to run the nbconvert script is: [MORE OPTIONS](http://ipython.org/ipython-doc/rel-1.0.0/interactive/nbconvert.html)\n", - "\n", - " ipython nbconvert --to FORMAT notebook.ipynb\n", - "\n", - "This page is converted and published to the following formats using this tool:\n", - "\n", - "* HTML\n", - "\n", - "* PDF (the PDF is created using `wkhtml2pdf` that takes the html file as an input)\n", - "\n", - "* LATEX\n", - "\n", - "* `Reveal.js` slideshow\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Building(exporting) from within the notebook\n", - "You can even call the build script from the notebook. The script will convert this page to an html and slide file. It will also compile to PDF and stitch a front page to it. Some of the last text in the building process wont appear as this notebook is being updated as it is being compile. Maybe not the best idea but saved a lot of time..." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "!ipython builddocs.ipy;\n", - "print \"Done\"" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## File links to exported content\n", - "The links below can be used to verify the output from the convertion process. This saved me a lot of time as I could just click below and have a look at the files without exiting the notebook." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "FileLinks('output/')" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "html": [ - "output/
\n", - "  .DS_Store
\n", - "  pycon13_ipython.html
\n", - "  pycon13_ipython.slides.html
\n", - "  pycon13_ipython_complete.pdf
\n", - "  pycon13_ipython_pdf.pdf
" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 12, - "text": [ - "output/\n", - " .DS_Store\n", - " pycon13_ipython.html\n", - " pycon13_ipython.slides.html\n", - " pycon13_ipython_complete.pdf\n", - " pycon13_ipython_pdf.pdf" - ] - } - ], - "prompt_number": 12 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Links to some interesting notebooks\n", - "The following notebooks showcase multiple aspects of IPython, from its basic\n", - "use to more advanced scenarios. They introduce you to the use of the Notebook\n", - "and also cover aspects of IPython that are available in other clients, such as\n", - "the cell magics for multi-language integration or our extended display\n", - "protocol.\n", - "\n", - "For beginners, we recommend that you start with the 5-part series that\n", - "introduces the system, and later read others as the topics interest you.\n", - "\n", - "Once you are familiar with the notebook system, we encourage you to visit our\n", - "[gallery](https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks)\n", - "where you will find many more examples that cover areas from basic Python\n", - "programming to advanced topics in scientific computing.\n", - "\n", - "* [Animations Using clear_output](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Animations%20Using%20clear_output.ipynb)\n", - "* [Cell Magics](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Cell%20Magics.ipynb)\n", - "* [Custom Display Logic](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Custom%20Display%20Logic.ipynb)\n", - "* [Cython Magics](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Cython%20Magics.ipynb)\n", - "* [Data Publication API](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Data%20Publication%20API.ipynb)\n", - "* [Frontend-Kernel Model](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Frontend-Kernel%20Model.ipynb)\n", - "* [Octave Magic](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Octave%20Magic.ipynb)\n", - "* [Part 1 - Running Code](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Part%201%20-%20Running%20Code.ipynb)\n", - "* [Part 2 - Basic Output](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Part%202%20-%20Basic%20Output.ipynb)\n", - "* [Part 3 - Pylab and Matplotlib](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Part%203%20-%20Pylab%20and%20Matplotlib.ipynb)\n", - "* [Part 4 - Markdown Cells](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Part%204%20-%20Markdown%20Cells.ipynb)\n", - "* [Part 5 - Rich Display System](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Part%205%20-%20Rich%20Display%20System.ipynb)\n", - "* [Progress Bars](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Progress%20Bars.ipynb)\n", - "* [R Magics](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/R%20Magics.ipynb)\n", - "* [Script Magics](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Script%20Magics.ipynb)\n", - "* [SymPy Examples](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/SymPy%20Examples.ipynb)\n", - "* [Trapezoid Rule](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Trapezoid%20Rule.ipynb)\n", - "* [Typesetting Math Using MathJax](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Typesetting%20Math%20Using%20MathJax.ipynb)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Sources / References \n", - "Since this talk focussed on the life cycle of the analysis to publication many of the code examples were taken from their respective websites. If I have not given credit at any point please let me know and I will make sure that the work is updated\n", - "\n", - "1. [SciPy](http://www.scipy.org/)\n", - "\n", - "2. Fernando P\u00e9rez, Brian E. Granger, IPython: A System for Interactive Scientific Computing, omputing in Science and Engineering, vol. 9, no. 3, pp. 21-29, May/June 2007, doi:10.1109/MCSE.2007.53. URL: http://ipython.org3\n", - "\n", - "3. [Hunter, J. D.Matplotlib: A 2D graphics environment](http://matplotlib.org/)\n", - "\n", - "4. [Sympy]()\n", - "\n", - "5. [Bayesian Methods for Hackers, the use of the custom css and also the custom matplotlib skin](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter1_Introduction/Chapter1_Introduction.ipynb)\n", - "\n", - "6. [Custom Stylesheets](http://python.6.x6.nabble.com/Style-Rules-for-Notebook-td4985853.html) and [here](http://zulko.wordpress.com/2013/04/14/customize-your-ipython-notebook-with-css/)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Embedding the final presentation into the notebook! \n", - "The build script generates a slideshow version of this notebook and saves it in the output directory. You can also use normal HTML in a cell and using the `iframe` tag the slideshow was embedded to a cell below. Since this document has not been build yet...we are editing it now, the slideshow below is linked to the previous saved version of this notebook. So if we did not make to many changes it should be pretty close to being the same thing." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "source": [ - "" - ] - } - ], - "metadata": {} - } - ] -} \ No newline at end of file diff --git a/src/README.md b/src/README.md deleted file mode 100644 index fc1b9ea..0000000 --- a/src/README.md +++ /dev/null @@ -1,17 +0,0 @@ -Files ------ - -file | description ------ | ----------- -pycon13_python | the base notebook -buildocs.ipy | windows based script to build the output. call with `ipython builddocs.ipy` -*.bat | the windows .bat files just made life easier when writing this - - -Directories ------------ - -dir | whats in there ------ | --------------- -static | custom css, matplotlib customisation file, front page -output | contains the HTML, PDF en Slideshow output of the base notebook \ No newline at end of file diff --git a/src/builddocs.ipy b/src/builddocs.ipy deleted file mode 100644 index 339a294..0000000 --- a/src/builddocs.ipy +++ /dev/null @@ -1,72 +0,0 @@ -# PyCon ZA talk build scrip -# Tobie Nortje -# Needs many dependancies, see github repo for details -# This script is working on Windows and Mac - -import platform - -pdf = True # pdf generation takes long -debug = False -git = False - - -# do the conversions - - -if platform.system() == 'Windows': - print 'running on windows' - !cd C:\Users\tobie.nortje\Documents\GitHub\zapycon2013_ipython_science\src\ - - print "******************** Converting to HTML" - !c:\Anaconda\scripts\ipython.exe nbconvert --to html --template full pycon13_ipython.ipynb - - print "******************** Converting to slides" - !c:\Anaconda\scripts\ipython.exe nbconvert --to slides pycon13_ipython.ipynb - - #print "******************** Converting to latex" - #!c:\Anaconda\scripts\ipython.exe nbconvert --to latex --template book pycon13_ipython.ipynb --post PDF - - #print "******************** Converting to PDF1" - #stich the pdf with the frontpage - !copy static\frontpage.pdf - - print "******************** Converting to PDF2" - !wkhtmltopdf --javascript-delay 5000 pycon13_ipython.html pycon13_ipython_pdf.pdf - !pdftk frontpage.pdf pycon13_ipython_pdf.pdf output pycon13_ipython_complete.pdf - !del frontpage.pdf #this is dangerous...need to remove - - #move the generated pdfs to the frontpage - !move *.pdf output - - #move the html files - !move *.html output - - -if platform.system() == 'Darwin': #mac - print "running on mac" - - print "******************** Converting to HTML" - !ipython nbconvert --to html --template full pycon13_ipython.ipynb - - print "******************** Converting to slides" - !ipython nbconvert --to slides pycon13_ipython.ipynb - - #http://plessl.github.io/wkpdf/ - !wkpdf --source pycon13_ipython.html --output pycon13_ipython_pdf.pdf -l --save-delay=5 -g - - !cp static/frontpage.pdf frontpage.pdf - - !gs -dBATCH -dNOPAUSE -q -sDEVICE=pdfwrite -sOutputFile=pycon13_ipython_complete.pdf frontpage.pdf pycon13_ipython_pdf.pdf - - !mv *.html output/ - !rm frontpage.pdf - !mv *.pdf output/ - print "mac run completed" - - - -if git: - !git add . - !git commit --message="Building" - !git push - \ No newline at end of file diff --git a/src/calling_r_example.ipynb b/src/calling_r_example.ipynb deleted file mode 100644 index a9a6dcc..0000000 --- a/src/calling_r_example.ipynb +++ /dev/null @@ -1,101 +0,0 @@ -{ - "metadata": { - "name": "" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "talk experiments\n", - "need to unstall rpy2" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%load_ext rmagic" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 1 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "import numpy as np\n", - "X = np.array([0,1,2,3,4])\n", - "Y = np.array([3,5,4,6,7])" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 4 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%%R -i X,Y -o XYcoef\n", - "XYlm = lm(Y~X)\n", - "XYcoef = coef(XYlm)\n", - "print(summary(XYlm))\n", - "par(mfrow=c(2,2))\n", - "plot(XYlm)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "text": [ - "\n", - "Call:\n", - "lm(formula = Y ~ X)\n", - "\n", - "Residuals:\n", - " 1 2 3 4 5 \n", - "-0.2 0.9 -1.0 0.1 0.2 \n", - "\n", - "Coefficients:\n", - " Estimate Std. Error t value Pr(>|t|) \n", - "(Intercept) 3.2000 0.6164 5.191 0.0139 *\n", - "X 0.9000 0.2517 3.576 0.0374 *\n", - "---\n", - "Signif. codes: 0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n", - "\n", - "Residual standard error: 0.7958 on 3 degrees of freedom\n", - "Multiple R-squared: 0.81,\tAdjusted R-squared: 0.7467 \n", - "F-statistic: 12.79 on 1 and 3 DF, p-value: 0.03739\n", - "\n" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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S/vnnH1ZdwzIahGmdvXv38g/tD/dgsGBYc8PYDJ1jCGfwGSkGoy5QTNgRARwikNEoYCwB\noyIQ5mxgGQkDKzQOzM/CKArGRFBJ4UWGmrlmzZqxOKpQoQI3AhhMQXXkbhCFnizmV5EnGjPUwiDD\nIKJq1aq8BAhzzrgXqiV3Qidh5syZ3IChAkfP2lvjxccEy5eQv6EiQwNu1qwZL7EA30bv3D1/f/ah\ndjaM1rBvjBxQB9TRmDfGHHSNGjW48wKVGPDA3DlGFwkto/CHH0krCASKAKZEIKAMeuaZZ9jC/+TJ\nk/z+wi4C7R6GkokldJgNQy18RzBF5NnOPfN+5513+HtkDAJgu4JpHLQlGHaCMOLF4AA/DAxatGjB\nI3TYo+D7gjnrUqVKEb4hUKVjukjIPwREAPuHl8+psS4YxhQQFjCMgDEU5kkwF4s5H/QiIZyhHoZx\nBRoQGiJeZMPAyCjMGFGjFwqVFdbUGgRBjkYH9TWsGA0BjpEhjDvQiKCiheoYqi8IcXdCebCahvoZ\nv0GDBrFBhXsa7EMgQvWLPGAxDWrdujWfh+oJ5WE07o9qmTNx+0P+GFGDJ9QZIwXMkUP1ho8CrkPI\n4+OBOWj0umFEhuvAFB8DX9XzbsXKriAQMgTQLt566y1X/hgRY34Yo0l8C7CEx31VgyuhHzuY+sE3\nBG0TWi/YbEDDFh/lyJGDNXBYQYFROTrT4BUjcXy3YFntSdCWgV8IXwwuIIjxLcB3C3U4c+aM5y1y\nnAACmhrt3F0Lk0BCuRwcBDBSA0GgeRLUx+nSpfM87TpGrxajWEMAui6onbjuRXnoDGBOKj7CyBz5\nopH5S+AJ6iv0kgMl5IX5JwhXzFdDzQ0BC0KnBSNkzJl5EkbL6IH7orLzvFeOBQGzEcD8Ld5Zb+9y\nYnjBZxwjYQhTfwkCFe0eHXt8Y9C5xUoEo915yw9tE20Rqm8QNGNot4b62ts9ci42AiKAY2MiZwQB\nQUAQEAQEgZAjICrokEMsBQgCgoAgIAgIArEREAEcGxM5IwgIAoKAICAIhBwB/yf8Qs6S/wVgDa1M\nZfuPm9wROgQw5w4LcaGEEZD2mzBGksJcBMxqv7YfAcMjVCjWnpr7uKW0SEMADk4QbSaSCUZx3qxl\n/amztF9/0JK0ZiFgVvsN2wgY1nZYthKo1SpGvlhug7VoQoKAVRCAc4VI08rADzGWtSEiDpauGWHo\nYPmK9axYQ+4vSfv1FzFJbwYCZrVfU0fAML2HS0SsGzV898IJBbxGJbRw3AzQpQxBQBCIGwG4/sTS\nGSxtg59xOEbBelOsHUVQDCFBQBDwDwFTBbARDg8LtuHDF4330KFD7AYRHlmEBAFBwPoIYN0oHKRg\n3Te0WHXq1HEFE7A+98KhIGAdBExVQcMnMWJVukfZgKNvRLlBaD4hQUAQsC4CCDuH2MvQYMFLGTyw\nwZUq3K4aMaity71wJghYDwFTBTDcJiI6CNyloTGDEF0DsWbdY9xaDybhSBAQBBAkBD/43D5y5Ah7\nc4M/YBhSwR2hkCAgCPiHgKkCGD6JEQ8T1qGI3AF3ZvA/CuELn8hCgoAgYH0EnnjiCcIP5C2mrLca\nwG2ht/B38E2OcJdCgkA0ImCqAAbACPiM2LD+0vbt22nUqFGxbsN8ctGiRcUKOhYyckIQMAcBLNmA\nNTMCacRFCBOJ9b6ehM43HPsjoICQIBBtCJgugL0B7EsDRrQgRBDxJKi0EWxASBAQBMKDAKLiJERG\nWDvPdOiMR9pyLc86yrEgEBcClhDAvjRgrBf2Fp0DUTzs3oARiQjxbrGe0luko7genpwXBKyAgMSB\ntcJTEB7siICpy5DiAggNOFoa8Zo1a9iBAeJvghB+r3379hwODPF14V1ISBAQBAQBQSB4CCxZsoSn\nSN544w22PULOZ8+eZS+KK1euDNsgztQRMAKpb9261SuqrVq1CiiYu9dMLXby7bffpl27dlGPHj14\nzmvHjh0cXB4BsDNlysTODeDowIixaTH2hZ0oRyDa22+UP35bVx82CGPHjiV4c4M9EeKxY0nswIED\nac6cOXx+06ZNAXtm9BckUwUwRnhwuAFjjUKFCsXgNb5A9DES2vTg6tWrtGDBAoLVJ5wX1K5dm1q0\naEEXLlygPHny8Ki4ZMmSInxt+nyjge1obr/R8HwjuY6vvfYaaxs3btxITZo0oZo1a/KKHMihDh06\nULdu3Xh1Tv369U2FwVQB/Mgjj7AQGjBgAGHEG00E1XKJEiVIO3acbhcqQUmO7GdBjKVYgwcPJmDz\n4osvRhMkUlebIRDN7ddmj0rY9UAA7lPbtWtHb775Jq/EgR+KHDlyuFLlzJmTXay6Tpi0Y/ocMEZ7\nK1asMKl61ikGy6/Sp05NZ9u/QDfHjaat/V6jnTt3EtZHzpo1i3bv3s1BJS5fvmwdpoUTQcADgWht\nvx4wyKGNEICRbsuWLVkAQ9MKV6qlSpWiBg0a0K1bt+iLL77gEXDFihVNr5WpI2DTa2ehArFUanTu\nfLRs/0HasH0r9T3/NZ04cIBSqxcCnoWEBIFgIgCremhcPvnkEzqg3rNXXnnFZ6cZweRD8hIEwo0A\n7GqgakabwK9Ro0bUv39//u5C5YzRMDy7ZcyY0XRWRQCbBLl+5iw5tu+gFju2Uktl9X3n9QGkHT5C\nVL2aSRxIMdGCAAwdYe0Jr3NYJw/3kT179pS42dHyAkg9YyAAT2swgPUkK/gvN10F7QlCNBzrav7X\nOeod0l55iTQlfEGOZ6qRvn5jNFRf6mgyArC0HzZsGBuVwNKzX79+hFCCQoKAIGAtBEQAm/A89IVq\nzW+GR8lRscL/SytdiujcV6T/9NP/z8meIBAEBODa8cMPP6Rp06axxSdi92bLli0IOUsWgoAgEEwE\nRAAHE00veekq2pO+fCU5er4S46qWLBlplSqSvmFTjPNyIAgEigCWt8FtK0IHYmnb7du3acSIEYFm\nK/cLAoJAkBGQOeAgA+qZnfOd8aS1bUOaMrbyJE2poZ0jxxC1auF5SY4FAb8ROHz4MMGrjzthyR8I\n5+FxTUgQEASsg4AI4BA+C+faT4juOElrUM9rKVqe3KT8ohEMtLRcOb2mkZOCgK8I3H///YT1jN4I\na3iFBAFBwFoIiAAO0fPQf/6Z9FlzyDFBGV/FE61Jq1Gd9HUbRACH6DlEU7ZPPfUU4eeNoIYWEgQE\nAWshIHPAIXoezgmTeeSrZckSbwla9aqkb91Gunwg48VJLvqOwLVr16hWrVqUN29eyp07N2XPnp2d\nvPieg6QUBAQBMxCQEXAIUNZ37iL69jvSBryeYO5a+vRETz1JtHsPUflyCaaXBIJAQgjAAhrxd8uX\nL8/u9m7evMke1xK6T64LAoKAuQjICDjIeOt//EEY/Tr69iJYOvtCGAU7xRraF6gkjQ8I/KHeQbjV\ng7u9EydOUNu2bTkCjA+3ShJBQBAwEQERwEEGW582g7QypUnLl9fnnLUK5YmOHCVduUwTEgQCRaBK\nlSr01ltvURY1/QFvWFgPnDx58kCzlfsFAUEgyAiICjqIgOrHT5C+Zy85PpjlV67avfey0NY3bSGt\ncUO/7pXEgoAnAlgDPHLkSEqbNi1vEec03OuAN2/eTEOGDPFklYOiFyhQINZ5OSEIRAMCYRXACNH3\n999/U8qUKW2Ptf7vv+QcM44cPbqRloj6sBr6fSW4RQDb/l0IdwWWLFlCQ4cOjcEGIsBMnTo1xjkz\nDzAqx8+TOnXqRIhWIyQIRCMCpqqgJ0+eTDt27GCc4Qgb8Rjz589Pbdq0YUFs5wegz/+QKGsWHskm\nqh6FCxFh6dKFC4m6XW4SBAwEEO0F4S3xQ2CG3r17E9xTCgkCgoC1EDBVAMMhPEJDITgy/NPCc8+5\nc+coa9asYe2dB/pI9G++If2jj8nR/eVEZ4W1wvCMhTXBQoJAIAgkU8Z/qVXsafyghn7++edpzZo1\ngWQp9woCgkAIEAiLChrqsIIFCxI894Dq1KkTy4VeCOoakiyhPnOOUe4mO3Ug7aGHAiqDXVP26EP6\nCx1Jc5jaNwqIb7nZWgjs37+f1q5dy0w5lac1WELnyZPHWkwKN4KAIECmCmAEPoaDeHjrOXXqFF26\ndIngNKBz585khdiMiXkf9FVqZHFPMnLUrpmY22Pcoyl8CC4DDxwkKl4sxjU5EAR8RQDxT91dUpYt\nW9br/Kuv+Uk6QUAQCA0CpgpgBAbH79tvv6UjR47QfffdRz/++CPNmzePvfaEpoqhyxWhBPUP5pNj\n6qSgFcKesdSaYE0EcNAwjbaMYFuBn5AgIAhYGwFTBbABxRNPPEH4gR588EHjdLzb8+fPE5YyeNKZ\nM2fo0Ucf9TxtyrFz3ETSmjUhLVOmoJWnValEzpmzCQ49EmNNHTRGJCPbIYB53oEDB3rlu1ixYjRz\n5kyv1+SkICAIhAeBsAhgz6qOGzeOlyLAWjMuSpo0KRuVeF6HwYkjDPOlzi1bia7+SNrQQZ4sBXSs\nKcMZKlJY+YfeTloQ1NoBMSM32wqB2rVrU+XKlenQoUM0YcIEXnebSXUO4ZrSsLewVYWEWUEgwhEI\nmwD+V62bheBMkiQJvfDCCwnC7D5qdk+8ZcsW09cR6rdukf7uNHIMG0ya4j/Y5IBryqXLiUQABxva\niM7P6KTu27ePWrduTfny5eP6Yq1tvXr1eLlfRAMglRMEbIaAqQIYIdFeffVVWrVqFcMEAQwXec2b\nN6f+/fvbBjoIX61yxdCFECxZgkg59dCvXCEtTOp12zwMYTQWAlWrViUI3Svq/Xn44Ydp8eLFPDKO\nlVBOCAKCgFcEsFLHDDJ1rcv48eO5Tpi3xZwu1gBDXYYPxcKFC82ob8Bl6IcOk678Nmsd2gWcV1wZ\nYFStVa0sa4LjAkjOx4sAIiHNmDGDjR23b99OLVu2tFUHN97KyUVBIAQI3Lhxg3744QdXzvfcc49r\nP5Q7pgpgVBBeejBvaxAqCvXYxYsXjVOW3er//EPOd8aTo1d30lKkCCmfWnXllEMiJIUU40jL/MCB\nA7R06VLau3cvwR0lCM44cN6uy/wi7RlJfayDABxCGXRBeSBM4fZNN0sAm6qCfu6556hr167UuHFj\nwppgEATv/PnzvVo4G+BYZavP+YC0vHlMWSKk5chOSj9PCPCg5b87l2cVHIQPayIAr1dwvAG1c5Ei\nRWIwmR5xp4UEAUGAEYAPim+UB8Ny5crxcaFCyhVwGMjUETA+CgiPhqVHx48fp6NHj1KqVKlY+Fr9\nA6F/9RXp6zeS9nIX0x4Tu6ZUZQoJAr4ggPCDiIQERzcwWmzWrBmvtT99+jSFIuIQgqkg9rCQIGB1\nBNAxhcGuQeikGsLXOBeOrakCGBXMkCEDG4gMHz6cQ6VhRGx54asennPUWNK6vEBamjSmPSd2yrFt\nO0H1LSQI+IoAAjD07NmTndygfd2rwl3iOFCK5GAqgWIj91sPgZ+UoyRE2wPBANjwPYFjtAkrkOkC\n2AqV9pcHfdkKogfSkKNaVX9vDSg9+5bOk5v0nbsCykduji4Edu3aRcOGDaOPP/6YmjZtSv369SME\nQgmUIjWYSqC4yP3WQQDLWw2CLQSC3IAwpwvNkNUoTgGMtYSgTz75hAYNGkSwEotG0i9fJn3hYnL0\n7hGW6osaOiyw27pQhB6E841p06ZRkyZNOPJYtmzZglYn92AqWEqIYCpwKSskCIQTAbg3hptjg+rW\nrcuC1zi24tarAA6VCsuKACTEE6yetVYtwrYeVytXlujUadJVrGAhQcAXBFq0aMFzwT169OB42xgV\njBgxwpdb401jBFNBeMONGzdyMBV89BBMBYaVQoKAmQjAihmRvgzKnDkzBbOjaeQbyq1XARwqFVYo\nKxKKvJ3r1hP99jtpTRqFInuf8tSU6kQrX470jbH9YPuUgSSKOgSgdsMa+6FDh9KiRYvo008/pa+U\nEWGghEAqyBdLmjAfjGAqMG5BMJWiRYsGmr3cLwgkiIC7JvZnNShB5C+DsArAbuR1GZKhwjp27BhN\nmjQp6CosO4Ck//IL6e/PIsfo4WGPzctxgidMJnq2qR2gEx7DjMDu3bt57mvw4MH0i3qP4RcaQRog\njINB7m5hfQ2mgpHyggULYhWPqa6sWbPGOi8nBAEDAcRcR6cSBlWwZDa0LcZSViOdHbdeBTBUWJjn\ngUu7kiVLsreqYKiw7ASQPnkqaTWqkxbEubPE1l97Oj/Rn38SlkJZgZ/E1iPS7rt+/TodPnyYAx1g\n+Y9V6OTJk9xu8eECYeWBYQ0aCh59CaYCoY3viifBIx5G0kKCgDcEIHAhg1KmTMkOnAzh6y2tHc/F\nEMD4mKxcuTJGPQYMGMDHON++ffsY1yL1QN+3n/QzZ8nRv49lqsjGWOs2qHXI2SzDUzQzAmMPGHng\ng7B8+XKqUKECTZkyxRKQwLd6+fLlORgDAjQsW7aM2rZtG1Te/A2mgpGyp3MQMAS1odFRCCqDkpmp\nCNy8eZPf/6tXr/JzbtOmTaLKh8YGncVHHnmE74d2BMIXFI6od1xwCP9izAEjZFnOnDm9/jJmzBhC\nNqyTta5Gms7xk8jRpydh/tUqxAJ4k4r8pJwfCIUfAQhfrGUfqAyd4FQGaw43bNgQfsYUB3A/CSMp\nOBpAu4X2ytvo019msZayT58+vJwjV65chB8iLkHFjaAqQtGJADpjeBfQ2UMULkyB+NMZ/VN9cw06\ne/ZsDMvlSJ+eiDECxjop/K5du8ahy9DLh5EFGh5UbDVq1DBwititPmsOaYULkVaooKXqqCk1Ij3+\nOJEanVPpUpbiLdKZ0ZVwpe9/IF391IJa3o66cYuqTnqPnPsPUpLBb9EzzzxD6P1bgb7++mtut76E\n+fSHX/dgKoY/93+Uk5hevXpxMBVYRwtFHwII+IFY1FhvDkKnDMvfXn755QTB+O6779gdcZkyZTht\niRIqElwUUQwBbNQbawgRUQVqrBw5chDUC1ANRDrpp8+QvnU7OT6YZcmqsjGWck2ZRARw0J9PDCGr\n/MSysL2knFf8cJkolZqjzJSRNLXMAVtH5Yp0+OK3tFWdH62ELwRvhw4dCEaLViAj3Gfv3r2Dyg6C\nqcCxhyF8kbkRTGX/ftUxFIpaBNyN8TClgOAG3giDuT179rjcQMIlZCQYU3mrqy/nvApg+HetWLEi\nNzT0bmBB2bBhQ8K6wkglqHado5W7yW5dSVP+qa1IWqUKpE+dRroykLMqj1bEzeBJh7MIYyTrKWTv\nT31XyGbKdFfIVqlElBn7mbxGvupZvBh/RCpXrsxGROvWreM1t0ZZ4dzCaAWBT7788kueYwUvUOV1\n7NgxILbsHkwloMrLzXEigNHrxIkTOQRmwYIFOeAOQmAahOVCmBZBxw3q6kfdYpxHuwGeVwFcpUoV\n9h2LGL3wIQtfzZE+xwNvV5ThUXJUrGC8N5bbasoYQStZgvTNW0mrX9dy/IWCIYy64FYRPWr0sufO\nnctzTXGVxUJWjVzvjmD/G8lCdYyRrLuQVcLVodx8uoRs8uRxZen1PHzJIsyfFQntFZi5k2HU4n7O\n330jmApcXGLeG9NTj6tpkc2bN1ven7u/dZX0viOAtgBDRCx7Q6cPmheooA3atm0bh5zFMdJmz57d\nuBT1W68CGPO9I0eO5N4ztps2bQqKJx13tN2tKN3Ph2NfVyER9eUryTFzWjiK96tMVkPPnU8UBQIY\nnm4yqREoYtsOGTKE7RIGvPkmDUdgAUPI/jcni2MWsmnuZ6GqYSQLIZsv710hq4yRND+FrF8PxkKJ\n8YEL1UfOCKZioeoKKxZAAAM0o9OH1TQIM2sYUCEGvJB3BLwKYCQ1QjVVr16d8AsGQf//6quvkjFH\nBbNyPDgsm+jfv3+MuaVglOdrHuxusm0b0tKl8/WW8KUrquK8jhxDulKh8pxk+DgJecmYV0Rvuqla\nj+4cPorWPJieDs+aR86vv4spZBEvWc3NsrrYQpbrIQdIChAELIAApiwhcLGCBgTLe6tHuLMAbMyC\nVwGMEQfc2LkTBPLUqVPdT/m9b0UrSufaT4juOElrUM/v+oTjBk11WrRqVe7GJu7QLhwsmFYmDHww\nf+QcNpI7Gzdbt6JmWzfQ10sXmsaDFCQICAKxEbh16xbP6+IKjBDd53KDMd0Ru8TIPBNjHbBRRagM\nsJYLPwRmwCgE7ikDJcznIW9vVpToQZlNCHCgz5xNjr5qze9/YavM5iEx5cFDl66cckQ6wbgj07ff\n0bp5C2hVhvRUvvVzNHT06EivdqLrt2bNGipQoIDXX6AGWIlmSm6MOAQwNYRpSYOgakYgBCH/EfA6\nAoaANIQkrNewvg9LkrAIPxCymhWlU/lX1hrWJ025ybMTaeqFVxZJpB86zGuW7cS7P7zqSrX19kPp\naNOrfeiKcvsIDUzZsmX9ySKq0mItJqyyDx06xM4xMG+OOXQsK4STHaHIRQBGcQgdi3XZXbp0oXRB\nnk6DS0i0PWilMG3YoEGDyAXTxJp5FcCYe1u7di2zAUtHhHzKkydPwGxZyYqSg9xf+Ja0gW8EXK9w\nZKBVr0r6hk2RLYCnzyStVEl6pld3eiYcINusTHgiQocZAQ7gkQgOEUCdOnViK9TEuge0GQxRx+6Z\nM2d46Q/sa/766y+qX78+R6gKJDQffD9AmBsRhrBWF8IXhPdMKDgIeEUSIZ6MCXUUg54PliYFgxJr\nRQn/oHgpPAluzNxDUuG6+/yE12O1HjTlxCnkeOtN0tTLlGB6t/kOr/mF4XoqNQ/snDuP9L+60W9q\nbR0+vAbZsT6e/KdSqmd9125yzJtty+djPItwbBFEBUL3ypUrBEcHixcv5pFxOHiRMkOPACLWwWYH\n/shBMHZdsWIFG7b6Uzq+scZyU4yo3QddobKq94e/SEwbYw7YmEOCt5sxY8a4fuhZde3aNWT1RzSV\nsWPHxps/1lwiHqnnD/PUnn6q4YrPnTyPz6s4v1qZ0qRhiYoiz+t2ONbSpCEq8DTp23fYkv/4ns/X\nKuqTc8w4cvToRlj7bIfnEV993K+ZsQ8vdjNmzCC4koUjHThFwCoDochEANMLxugUNURn9o6fPuMv\nXLjAkb0MhGB/4e7dyjgv2yAjoNyGuUitzdXVKFPftm2brnT8uuoFKTuln3UVfFv/4IMPXOmCvaNG\nbDp+iSFlXKIrN4A+3+o8dly/3aS57vz9d5/vsWpC57bt+u1efa3KXqL5ujN7rn574KBE32+FG1WH\nUv/oo4/Cyor6CCunab/pahoprHzEV7i/7Te+vKL12ueff66ruX99165d+vr16/XSpUvrqvMVLxz4\n1iuXkK40v/76q3IGeMd1HO07ZrXfGCNgb3NI6AVBnQVDjmASHHEYvbRUyvUjfqEmXZXpPrIKdXkh\nz1+N4unLc8R+jENemDkF6Konrq9ZS47uL5tTYISW0rdvX54DXrRoEdWpU8eyXrsiFH5Tq4UpwlGj\nRnFADBhLIRIRPJR5Evz5w6YHhKm7hx56yJUEo+hIDPfnqqBFd7zOAYdqDincjjj0+aoTkTULq58t\n+jz8Ygvz11rlSneNsVrFDnbuV2YWSKx63aqDNJ60ju1Jc/s4WIA1W7GAaRksq4NrQHx0ES4Q/twh\njIUiE4GiRYsSfp4EgWsIVvgrb9asGSeBmtrd7sLzPjk2B4EYI2CjyFDNIbk74jh//jydO3eOl0zA\nWAR+p0NJ+jffkP7RxxE3suI4wes3hhI60/LWV3+kTCyTkKNOLdPKjMSCTp48SQjIYKxth+EjDGyE\nogsBuIS8pDzmGQSPg4YwNs7JNrwIeB0BgyUIYfyCSeEKZ+YaWXXqEHEjKw0BBdTIEaEUtdy5gvm4\nTM0LanRdWXU7pkwwtdxILAwfWqzbxzIkTCstW7aM2rZtG9aqIsY4gq17EjrfskbZE5XEHcMl5OXL\nlzmmO3KARyr3yEOJy1XuCiUCMQQwLI1hcYr5A8Nfs1E4PGG9+OKLxmGituFyxKGvWkN0TzJy1K6Z\nKL6tfpMxCrazAHaOm0ha08akqfWGQoEhANXixo0baeXKlWwJ3a1bt6B3pv3lEJ3vzz77LNZtGKE9\nYTNHOLEqEcYT8EpluIH8XgUmQbQhgzxXhxjnZWsdBGIIYCy6xpwB1g7CaYY7BcO5djgccfDI6oP5\n5Jg6yb06EbXPEZI6vEj6y114XbPdKufcuk05lP2RtKGD7Ma6JflVqxjoxo0b9MILL7j4gxBWqxlc\nx2bvPP3004SfJ8GPMDRUQv4jgPX+MLqC4w2QrNX1H8Nw3xFDAGfJkoXwA0FlVKJECXZvhpFxtWrV\n+Hygf4l1xOFPubDwQ8xSeHKpv/8gpWzWhDg8nT+Z2CgtR3HKno1IOa6gCuVtxLnSnv/2G+mTp5Jj\n+BDSkiSxFe9WZfbUqVO8rh4qX6zhB8GbnZD9EYDArVixIs/lwmlG3brRERfc/k/Oew28GmEhAENP\nFXP1R+UxCg44oNbAsR0IS5sKFixIR44coRR79tGiSZPpbIH8dmA9IB7hmtKpXFPajfSp05Uld0XS\ncuW0G+uW5hcGj3DEodbIc0fU0swKc3EigFEuLNkNwpyuYUgF5xvGvnFdtvZCwKsAVgu6ObgyRpHw\nitWvXz/C/IIdaN68eRzLeKjq+Te4fJXyzp5Bk/8Lo/iTMvQJdB7bqhhoGPkeOUr6r79alcVYfOmH\nj9wNKNGhXaxrciIwBJIobcJ7773HLmWxDlj89waGp5l3w0eCQdA+GtbsOOfuHtJII1v7IhBDBW1U\nAwZXcLxx7Ngxgp/R999/nwJx7G3ka8YWRgmsLlc9R8z7Pq5e5kurVrI5PtzxefMnbQZfoS5DS5GC\ntLJlSN+0hbTGDUNdXMD562p6wPnOeHL0fIU0N8ORgDOWDPgjbThZQOcZRk6bN28WZGyAwDdquSQG\nCsWLF2duK1WqZAOuhcXEIuBVALdo0YKUCzt24J4/f346ePAgjRgxIrFlmHpfuXLlWADnU2p0qGsq\nq+P27duzv2h0KlC3SCU2xpo2g8gOAlgtOYLVtlbi7ocmUp+JmfVyX8WAd93de52nUaWZfElZcSOA\n0S4GOsbzQWAZsQqPG69Iu+JVAEPlAScZiC+JtWWffvopG2R587RiNUAQkHz58uXsPhNm+N27d+d5\nbEONE8kWl1rhQqTMXwnuHLX/jOms9nzAj66CLeifrSfH3JlWZM+2PIV6FYNtgbEY49DCGWufobFz\nd8MrARAs9rBCzI5XAWx3V3ZwQoA6RCPxmuB1G0jr/P8lKFbCQUUGuOtusnMn4ohOVmLO5rwcPXqU\nXU56q0axYsXYetbbNTkXegTcXUKuXr2ajNjMGPF6hlMNPTdSglUQ8GqEFcmu7GBUFsnEAnjjZoKg\nsyLpy1cSpbqPHM9UtyJ7tuapdu3atHPnTrbbMOw4sCYYwVTQKRUKDwJwCQmPXwbBIZGQIAAEvI6A\nrejKLliPq3HjxsHKypL5sCcp5YKODhwkKl7MUjzq6iOkf7iIHNOmWIqvSGHGWzQz1A0CuF69eq5R\nV6TU16r1gB8CLOE05nLh2MjdJaQsHbLqkzOfL68C2Iqu7MyHxr4l8ih4/UbSLCaAYfWstWxOmgoO\nIBQ6BEIVzSx0HNs/57/++otSqJUIIFgyG3O8OPYWGhDnhQSBWCpoGF9h2REWgMOV3bBhw+jnn3/m\nBf0Clz0Q0KqoEIV795GuDOisQs4NKmLTzVvs79kqPEUqH6GKZuaJF5zewEgz2kkFs2ff2wYOWKub\nOXNm41C2gkCcCMQQwHCYjt4zvEhhLS2OYUUMQRyK5TvSgON8LgFd0FKlIipahPSt2wPKJ1g3wzmI\nrpZHOfr1Is0R45ULVhGSjxsCCKiCERiCtE9VTmiCZfcAX9I7duzgkqZPn045cuQgLFOEQVG0hTvE\n3LpBGPlC3bx06VKCEyN3ev311+nMmTPup2RfEHAhEONriHWETZo04UY7ZMgQtppED/f48eMsmF13\nJXJHGnAigUvEbY5nqpGu1NBWIH3KewS1uJYtmxXYiXgeEMlszZo1Qa8nvOFhtIelM9CSwbgIGrOs\nWbPyNyPoBVooQ9TZ3YmP4egELK5fv57atWtH169f57n2MWPGMOfww71v3z5xBWqh52g1VmIIYLxA\nRkSNx1RYOFhSzpgxwxXuKlDmo7kBB4qd3/fDwYXyBQzDp3CSvv8L0k+eIq3d8+FkI6rKLlmyJE2Z\nMoXdrr7xxhuE38yZwVtzDSc98LeOUTYMiuDqEkZHkUa3b992VclzZGtEdkKHBBqAdevWUZcuXdja\nGZboCIgxfPjwoAxcXEzITsQh4NUIC7WE44qnnnoqJBV2b8AoAA0YsUuFgocAIgtp1aqQjjXBbdsE\nL2M/ctKVYYpz7ARyvNqXNOU4XsgcBBA6FLYb7gQnHYESOuW9evXi7wIEDGL5Impa586dCSrpSCKo\n8REEAfPpIEzJGc583OuJbxmWf6VLl45PJ0uWjAcxsJsRa2d3pGTfGwKxBDB8P0MY4uXD2jWomEDw\nMGWoVrxl5Mu5aGrAvuAR6jSaWmvrfGswUbgE8MzZBO9cWqGCoa6q5O+GALwpLViwgKMhwQEERnLw\nLVy9emBrr1966SXCD1GWYCeCQPAY+SIASt68ed04sN8uXEKePn3aFbMYo3tjGRFq40344jyWF0Ho\nYr4dfrfhc3vs2LFxOkTBPUKCgIFADAGMkWhc0TbczeqNm/3dRnID9hcLM9JriBGsYobqx0+Qlj+f\nGUW6ytDPnGUjMHE36YLEtB34gMbIDc43YCiFuUv3kHaBMgLBZAgnO7tOxLwuOhEgqJIR3s8gXzUG\niDoF2xZ4Gtu4cSMLZMMIDnnBN/0jWJcvJAh4QSCGAIYaxVCleEkbtFOR0oCDBkgIM9JqVL+rhjZR\nAOtqeYpzzDjSXupMWurUIaydZO0NARhOVqxYkUdm27dv59FYw4YNqUePHt6SB3xu3LhxBB/rvXv3\nDjivUGcAPo3R7LJly6ht27ZcJASur0LXk0f4TYjL0rls2bKeyeVYEHAhEEMAu86avGOnBmwyNAEX\nh3lgZ5v2pHd/2bR5WH3REqL06chRWUKpBfwAE5FBlSpVqGfPnrRw4ULeYk44udKEBJOgssUcJ0aA\nWKaYEEE1i5UVnnT27Fme3vI8H4rjQ4cOUaZMmVwjUsMfcyjKkjwFAV8QCJsAtmMD9gVQq6XRHnpI\nRfHOTfrOXaSZIBB1ZZijL1tBjpnTrAZF1PCD+d6RI0fyiA7bTZs2BSWcKOaSsbQGy5xAEMAQ7HBd\ni1jb8RE6Bfh5EtxkhipCGVxCwhgKQheUJk2aGBo+MZLyfBpybDYCpgpguzVgsx9GqMoz1NBkggBm\nd5PK6Ev7zyo0VHWSfONHAHOPIBheBWp8ZZQ0fvx43oW6FYZHoH/++YctozHafv758C81Az/GXO6X\nX35J8MNsUKhWdRj5y1YQ8BeBGOuA/b3Z3/TuDfj8+fNsYQ21EKyt0YCFQoOAVrYM0anTpKvRQCjJ\n+cln6ov8L2kN6oWyGMk7DgTgfAOrFbz9OnbsGMddvp+GZ7xGjRq5hC/uhLBDoIeLFy/6nlGIUt5Q\nsbAx2jcIOIhLSAMN2VoRAVNHwGjAcItn9J4BiNGA9+/fb0V8IoInrMHVKpQnXYUp1J4NTThGCHd9\nxixyjB/jMnKJCPBsVAmsR61cuTKhUzthwgSec4X6FVbRwVjFgDB6Xbt2JUQUw5JCEATv/PnzeflN\nOKCC0wvD0AkuIYM12g9HXaTM6EPAVAFsxQYcLY8camjnuIlEIRLAzolTSKtXhzTlllAoPAiEOhxh\nkSJFCMHkP/74Y3ZPizXGiPQDAysYeplBmNdFucbyIWOLsu+9914zWJAyBIGgIWCqALZCAw4acjbL\niNcBK89U+rmviNcHB5F/GHjRNxdIe/O1IOYqWSUWgVCGI8ygQknCcMpMgsA1DKa2bNnC65uN8gsV\nKmTsylYQsB0CpgpgoBOOBmy7pxIihu/GCVauKeGgI0iEkIcY/ToGvkHaf4Y5QcpaskkkAkY4wiVL\nltCJEyeoZcuWQYuI5M4SfEznzp2boNkKFcFWBO4eMZ8LqlmzpksYh6pMyVcQMAsBU42wPCuFBgyX\neULmIMDW0GoeGI4ygkX69JmklSppuqetYPEfifnAGGnQoEEcEQlGSWhnrVu3tkVVsTwRfqYNSpUq\nVQw3l8ZI2LguW0HAzgiYPgK2M1h2511TfmuVD0GifcrgrXSpgKujnzhJ+q7d5Jg3O+C8JIPgITBn\nzhyCahYrC4wlOYb3p+CVQiwYjTW2wcoXEdnchay4cQwWspKPFREIqwCGA/dgN2ArgmwlnqCGdqo4\nwUkCFMC6Gqk4R48lR49upKVMaaUqRj0vsHhGvFp3A6VQgALVdjDIfVUEghvgJyQIRAMCYRXAwWrA\n0fCgglVHrVIF0qdOI13Nq2lKvZdY0heoddtZsxCvMU5sJnJfSBBArN4GDRrQZ599Rln/s0pHbG9f\nXEaGhKEEMoXaWUgQiEYEwiqAoxHwcNcZo1WtZAnSN28lrX7dRLGjX7hA+pq15Jj9fqLul5tCi8AD\nDzzAIfHcSzFrmZB7mbIvCAgC8SMgAjh+fCLyKquh584nSoQAht9e55jxpHVsT+xnOiIRsnelsmXL\nRvi5E9zACgkCgoC1EAirFbS1oIgibooWIbp6lfREuA/UV39ElCwpOerUiiLA7FXVa9euUa1atdhI\nCsuEsmfPbgk/zfZCUbgVBEKPgIyAQ4+x5UrQVBQbhCnUlTEWRrK+kv7TT6R/MJ8ck+865ff1Pkln\nLgJwPYm1wOXLl6ccOXLQzZs36ZdffjGXCSlNEBAEEkRARsAJQhSZCXhNsBLA/hBcWWpNGpH2nx9g\nf+6VtOYh8IdyjlKxYkUqVaoUO+JA0Pnt27ebx4CUJAgIAj4hIALYJ5giL5GWJQvRgw+SfuiwT5Vz\nbt2m1NY/ktbiWZ/SS6LwIYC4u2+99RZlUc8YvpunTZvGcXvDx5GULAgIAt4QEAHsDZUoOXfXNWXC\no2AsWdInTyVHv96kJUkSJejYt5rFixenkSNHUtq0aXn79ddf04gRI+xbIeFcEIhQBEQAR+iD9aVa\nWtXKhEAKugrSEB/pU6eTVrkiablyxpdMrlkEAYTogwcpOOJAeD4I43nz5lmEO2FDEBAEDATCZoSF\nxfdwOZdERlTGszB9q6VJQ1SwAOnbd5D2THWv5euHj7Ca2jFnhtfrctI6CGDut0OHDuxLGT6U06VL\nx8whmMGDarohnPTFF1/QzJkzY7GAzoLnkqlYieSEIBChCJgqgLEW8dVXX6VVq1YxnBDAyZMnp+bN\nm1P//v3J3SVdhOJtuWo54JoSS4u8CGD9n3/I+c54cvTqTprEWrXcs/NkKKVysjJ06FAOwgB3jvny\n5SMIZQhfzAeHk3LlykW9e/eOxQICR6RIkSLWeTkhCEQDAqaqoMePv7t85cyZM4QwY+fOnaNDhw7R\nlStX2HF8NABuuTrCJ/RX5wlLjDxJnzuPtNy5SCtezPOSHFsUgbVr13J7gpvX5cuXU7Nmzahhw4b0\n/fffh5Xj1KlT85IoLIty/6VRWhgjYERYGZTCBYEwIGCqAP7hhx+oUaNGMUa6aHz16tWji4lwChEG\nvCKuSC1pUjW/W4nXBLtXTv/qK9I/W09at67up2Xfwgjs3r2bli1bRt26daNvv/2W533Pnj1LU6dO\npddff93CnAtrgkB0ImCqChqBu7t27UqNGzemx/5bSwrBO3/+fNq8eXN0PgEL1JpdUw4fRfTc3eg2\nutN5191k507E88QW4FFYSBiBffv2UatWrbhtYelR/fr16V41dVCmTBl65ZVXEs5AUggCgoCpCJg6\nAi5SpAivS8Sc1PHjx+no0aMEYxEIX3EWb+pzj1EY1Mwg/fSZu9tlK4hSpyKHl3lhTiB/lkQAy44u\nXbrEvH388cesWcLBiRMnVBhoFQdaSBAQBCyFgKkjYNQ8Q4YM1KlTJ0uBIMwQncqcic692IW2PpqO\nBv94gx5YrII1CNkKAUzljBo1ivbs2UP/KAO6ChUq0KZNm6hHjx40evRoW9VFmBUEogEB0wWwN1DH\njRtHiLLjzUrSW3o5F1wEdu3aRRP27qJpukbFktxDE65epobKMK6gBEYPLtAhzg0GTQcOHOARb/78\n+Smpmt8HzZ49m+CcQ0gQEASshYAlBLAvgcJhOf3JJ5/EQu/YsWOUOXPmWOflRNwI7N27lxYvXkxO\nNdcLJw0LFy6kvmrklKbPa5Tm24tUfMxIWrduHSGwu5C9EMCSnqJFi7qYrlq1qmtfdgQBQcBaCFhC\nAGMeOCG6//77KWfO2J6Y0NPPmDFjQrfLdTcETp8+Te+88w69++679PnnnxOwxXrMpDvuGsL9vnQp\n3blzx+0O2RUEBAFBQBAINgKWEMC+VApC1pugvX79OquvfclD0txFoF27duwMBe4Jt2zZQnDa0KVL\nF3bacOvWLXbeDyMeIUFAEBAEBIHQIWCqAMaoa+vWrV5rg+UTcB4gZA4CcM6ANdhTpkyhN954g1au\nXMmqaMzFL1q0iB566CFzGJFSBAFBQBCIUgRMFcCtW7fmjzyMrQoVKhQDcsNvbYyTchASBF588UUa\nOHAg/fjjj/T4449zGRgF9+rVKyTlSaaCgCAgCAgCsREwVQAjQsuCBQtowIAB7DAgNjtyxgwEBg8e\nTB988AH7B4ZnMiFBIDEIwE7g77//JvigFhIEBAH/ETDVEQfYy5MnD61YoRw9CIUNAXSE+vXrx36C\njaUqYWNGCrYNApMnT6YdO3Ywv9OnT2efzjCCbNOmDQviYFXkLxUeE36sYal/7do1zha+rLt3707Q\n3sDNppAgEAkImC6A3UHD3CNGxEKCgCBgfQQgBH/99Vf6/fff6f3336fDhw9zQJWsWbOyv+lg1ACj\nakxPIUjL5cuXOaQi/FnDc16fPn0I01gffvhhMIqSPASBsCMQVgEc9toLA4KAIOA3AogvjDXiWL6G\nkKJ16tRhewK/M/JyAyzzS5YsScOHD6eePXvShg0baOLEiVSjRg36SUXsgk/runXrerlTTgkC9kMg\nrAI4b968rqAM9oNOOBYEogsBBFCBod7zzz9PGzduZL/TR44coc6dO3OAlWCggdF1rVq1XFlhysoI\npVi4cGH2JT9s2DDXddkRBOyMgKlGWJ5AybIjT0TkWBCwLgIvvfQS4Yc5WAje++67j0e+GLWiMx0M\nQuSmmjVrUr58+Xh9epUqVQhR1MaOHUsI5gJ3m978AQSjbMlDEDAbgbAKYLMrK+UJAoJA4AggspIR\nXQmRzeDLHa5Lg+HLHfO/S5Ys4VE2XMy+/PLLLPRhmAXLfdCgQYMCr4TkIAhYAAERwBZ4CMKCIGBn\nBHzx5Q6DKoQf9STEA4cQdydEcdq/f7/7KY5rDFW3kCAQSQhEhACGQwn0mgMlxE29oqIA+eKb2tey\nYNUJ4xE4uggmIe5rsINQ/PLLLxxBJ5rrnz17dnrqqacCflRYPoO8ooF8eV/wbnkTwPC8lixZsoDb\nLwT2H3/8QQhGES4KRZv0py6haL/+lI+04cYABoL41mIKIxAyq/1qqgHogTAa7nsh4LAmEdaYgdLq\n1asJDzCYgg2qMyypKF26dKDsxbgfPpwrV64c41ygB+fOneMPGIxtgkV2qz+EZsWKFQOufvLkyXl9\nbJIkSQLOK5IzCFb7nTt3Lnec06ZNGza4QtEm/alMKNqvP+UjbbgxQAcAHcIGDRr4y3qM9Ga1X9sL\n4BioBXgARwOZMmWiYHqHunr1KjsQgFOBYBKExLZt24KZJfuFzpAhQ9AsWsEctBPdunULeITjWdFQ\n1B/RoeCkpEmTJp7FybFCwMq+3F9//XVenlSqVKmwPatQvJP+VAZ+3YPdfv0pH2nDjQF82sNqHt8c\nO1BEqKDtALTwKAjYHQHx5W73Jyj8Ww0BEcBWeyLCjyBgUQTEl7tFH4ywZVsEAp84tW3VhXFBQBDw\nFwHx5e4vYpJeEIgbARHAcWMjVwQBQSAeBMSXezzgyCVBwAcEkrytyId0UZEE1nNwMPDAAw8Erb6w\ngoXqDg7rg0mw9syRI0cws2TrwWivP+Ije65LDSrIEZQZLF4Rx/vpp58Oe63glxptDN65wkWhaJP+\n1CUU3y9/ykfacGNw77338iqW9OnT+8t6WNKLFXRYYJdCBQH7I7Bw4UJeNQDHGUKCgCDgPwIigP3H\nTO4QBAQBQUAQEAQCRkDmgAOGUDIQBAQBQUAQEAT8R0AEsP+YyR2CgCAgCAgCgkDACIgADhhCyUAQ\nEAQEAUFAEPAfARHA/mMmdwgCgoAgIAgIAgEjIAI4YAglA0FAEBAEBAFBwH8EoloAX79+nRCNxRvd\nvn2bEMnH+HlLY+a5f//9l8CvN/rnn39cfGI/XJQQZk6n08UncMVxOOnnn3+muPBKqC7h5FvK/j8C\nCMGHdykuQjCUUAZ8wzuEtumNQv0OxVc2+EF4xlu3bnljLSjn0H4RajUuMr6d2AKLUBFiTcdFoYwb\na3EAAEAASURBVMYgrnJ9PR+VAhhCt379+tS1a1cqVqwY7du3LxZeiKZRqFAhKlOmDP9+//33WGnM\nPNG3b1+C5yFvVLhwYRef7dq185bElHMJYbZs2TKOkWtgunPnTlP48lZIx44dqW3bthzS0VukqoTq\n4i1POWcuAjdu3OAwn8ePH49V8K+//kolS5akDh06cDtGVK5gU5s2bahVq1aUM2dO2rVrV6zsQ/kO\nJVT21KlTqVq1aoToUBMnTozFW6An8M3E97FZs2b88+zkoOODuLxGW580aVKgRXq9f9q0aYS27I1C\njYG3Mv0+h3jA0Uaff/65PmLECK72Z599pjdv3jwWBOrF1dWIM9b5cJzYsGGDXqBAAf3FF1+MVbzq\nGOgFCxaMdT4cJxLC7NVXX9VXrFgRDtZilKk8OLme+c2bN3UVyi7GdRwkVJdYN8gJUxHYv3+/nj9/\nfl0JPx37noR3bd68eXx65syZXp+x5z3+HK9bt05v374936Li8OpK0MS6PVTvUEJlq44JY6NGqLoa\nnet58+bVlaYgFn+BnFDxzfULFy5wFs8995yOb5Q7gUfVAXE/FfR91bli3GvVqhUrbzMwiFVoIk5E\n5Qi4bNmypBoonTlzhmbNmkWVKlWK0XGBauXixYuEXtvLL79M3nrYMW4I4QHUzqNHj6a4PIaCN7hf\ne+mll2jIkCGEnmc4yBfMjhw5Ql988QU9//zzpBpoONjkMrdv307FixengQMH0qJFi+jNN9+MwYsv\ndYlxgxyYjgBcT27dujVON5hHjx7l0TEYQ3s/ePBgUHl0zz9btmwcg9a9gFC+QwmV/eWXX5LqsJOm\naZQ0aVJSHRU6ffq0O3sB7+O7BLe1IG/4oq1DRY62jm9sfNMEiWUG2r7333/f6+1mYOC1YD9PRqUA\nNjBas2YNC1oIMHfCi1OuXDlq2rQpNWjQgH9//vmnexLT9tEBGDVqFAtZb4X+/fffrGrr168fPfzw\nw/zCe0sX6nO+YAY/y3Bb2Lt3b+5Q7N27N9Rsec3/ypUrNGfOHMYN+506dYqRzpe6xLhBDkKOAAQa\n5lrxUwMNVvvifY+L8FzTpEnDl1OnTk2YKw6UMI+J8jGF5Z4/8k2WLFkMIRPKdyihsj2vB6v+Bn5K\na8SC3Tj2lj/8UpcoUYLb+Z49e2jChAlG8qBtod6Oi0KNQVzl+ns+qgVw//79aePGjYStu5EAHIrD\nz61S3VDVqlV5HgOO580mpR6nY8eO0erVq0mp03j06DlyLF++PI0bN457o5jTxqgeDcRs8gWz6dOn\nU40aNXjU8sILL5BSR5vNJpeHYBtq2oGU6ooGDBhAu3fvjmGM5UtdwsJ4FBc6f/58yp07N/+82Wx4\nQgPhbLQDbDNmzOiZxO9jCBTw0Lp1a+7sGvkjIwRdSZEihSvPUL5D7nXzVrbn9WDV36gcBK77iNZb\n/tDIYQ4cATLUFI/pbT3UGBhYBLqNSgEMoxu8FCAYV8FYAKoag7777jsWvDhGbxsqn6JFixqXTdsi\nysyYMWN4pJYrVy6OqmSofQwmlixZ4jLOMnp9UM+ZTQlhhhEMeqzXrl1j1qASxActHIRy1bwdFw1V\nGni75557XKwkVBdXQtkxDQGoMr/66iv+wbgqIcIUw7Zt2zgZtspOIqFbEryOdxY8oHPunj/Uu54C\nPpTvUEJlY+CAbxYs/KEhO3nyJD355JMJ1s/XBFBt45t5/vx5vsUbvq+88gphAAEKR1sPNQZcsSD8\n/V/qBCEzu2TRqFEjWrlyJTVs2JAF8MiRI5n1Ll26sGUfRmfKgIJq167NczuNGzdm4Wd2/TJlysTR\nZlAuetjff/8998AhaGH5/MMPP7B6fOnSpbw9depUSFQ9vtQb6mVvmKGz89FHH/FHq1evXvTss89y\npwa96Dp16viSddDTwAIezx/PF3P9U6ZM4TKs9vyDXvEIz9C9XXTv3p0gBPD+QQh9+umnQa09LIyV\n4RFrdLAMBiN0kBnvkC9l9+nThzU8UL1jHyrhYBK0btC4YSSMOWZo4tzxBw54BrBEvnTpEi1fvjyY\nxceZlzv+ocYgTib8uBDV0ZAw+o0vfih6kBgBJ0+e3A9Iw5P0t99+o5QpU5LDEV6lhi+YYW0iBHC4\nCXwAM3RuvJEvdfF2n5yzDgKw3fC08QgmdwnlH8p3KKGyMa2G7xfmp0NFCfEA9XQ4NHJGfc3AwCgr\nMduoFsCJAUzuEQQEAUFAEBAEgoFAeIdLwaiB5CEICAKCgCAgCNgQARHANnxowrIgIAgIAoKA/REQ\nAWz/Zyg1EAQEAUFAELAhAiKAbfjQhGVBQBAQBAQB+yMgAtj+z1BqIAgIAoKAIGBDBEQA2/ChCcuC\ngCAgCAgC9kdABLD9n6HUQBAQBAQBQcCGCIgAtuFDE5YFAUFAEBAE7I+ACGD7P0OpgSAgCAgCgoAN\nERABbMOHJiwLAoKAICAI2B8BEcD2f4ZSA0FAEBAEBAEbIiAC2IYPTVgWBAQBQUAQsD8CIoDt/wyl\nBoKAICAICAI2REAEsA0fmrAsCAgCgoAgYH8Ektq/CpFdgx9//JEQt9idHnvsMfr11185lm1iY50i\nTugPP/xAmTJlcs/a5/1r165xkO8UKVL4fI8kFATsgMA333wTi00EtEesbcSPTmybi5VpAifQ7hFP\n+MEHH0wg5f8vx9cu//33Xzp58iTlyJGD6/H/u4K3Z/CMGMD4dmXIkCF4mUdgTjICtvhD7dy5MzVv\n3pxeeukl1+/69es0fvx42rdvH129epVef/11rsX27dtp/vz5PtXot99+o1q1avmU1luiV199lXbt\n2uXtkpwTBGyLwJ07d1ztrHTp0vTss8/y8bx58+jNN98ktLFQU4cOHbiIrVu30vTp0/0qLq52ie8F\nOu6jRo2iihUrUpcuXQid8GCRJ8+XL1+mZs2aBSv7iM1HBLANHu2IESPo008/df0eeeQRevnll6lo\n0aJ06NAhFsQYza5fv55OnTpFt27d4lr99ddfdObMmRg1/Pvvvzk9BLAnXblyxXUvrn399deED9Lt\n27fpyJEjtHfvXvrzzz9j3IaR+E8//cTnnE4n32Mk8Fb+xYsX6fPPP6cbN24YyWQrCFgGgSRJkrja\nWbly5Wjo0KF83Lt3bxePGCF/++23rmPseHvXcR4jzj/++AO7TLgXwumrr77iYwjB48ePE9oOCG0Q\n7Rhtr3z58tS+fXs+j7+zZ8/ShQsXXMfxtUtXIrWzdu1aWrhwIX355Ze0aNEi2r9/P/OE7wrI4AX7\n6NAb3w98I/bs2UNHjx51CWvwjlHuwYMHXW09Pp6RJwijYXyj3Em+BUSignZ/Iyy6DyEH1RIIKl+o\nwwYPHkx169al3bt306VLl1ioolGgQeMYgnnx4sWUNWtWOnfuHK1cuZJu3rxJVatWpUqVKtHhw4dj\n1XbDhg38wUAvGWXWr1+fBS/SFytWjNwbpHEzGjc+DEOGDOGGiXvwQfnwww9jlb9jxw5OV6VKFe6B\nr169mrJly2ZkJVtBwPIIvPPOO1S4cGEWativXbu213cdghztpmDBgtz+mjZtSp06daKGDRtS+vTp\n+b2Hdqtv37709NNPs0AbO3YsCykIOHS4kQ5teuTIkfTcc8+xOhrt/9FHH+Vz8bVLdyDRzqBFg1rY\noNdee41at27N2rMaNWpwGwbPo0ePJoz8wTdGsDVr1mSBjXY6depU/u6gU58/f37asmULd1CSJUvG\nbd+d527duhlFUa9evejnn3/mTgbU6RMnTuROBr4Z0f4tEAHsek2su/PWW2/RAw88wAzWqVOH+vXr\n52IWDfvEiRPcsNGjhADOnTs3QSUEIZg6dWp69913uUFjdNyiRQtudBiFYhTtTk2aNOGGjZ7xsmXL\nuNHiYwAVNxrp+fPnqXLlyj6NXlGmZ/novWfPnp2ef/55atOmjV9zW+58yr4gEC4E0N5efPFFKlKk\nCAsRCGBv7zr4q169OqHtQmuEDiwEMEbDkydPppw5c1L37t0JQhgjbWiYZs+ezdcgpNA2ly5dytU8\nduwYC3GMXEFz585lgedru8TI130kjTyeeuopFrrY90YYkc+YMYMFLb4V4NUgCE2o41etWkUbN27k\n+nvybKTFwAF8oxMAQrvHaBjfLPkWyAjYeE8svZ0wYQILPl+ZhAoJwnbAgAGuW7JkycJqM4yaQYUK\nFXJdM3ZgYILeL+a5IDwx74XeLbboGaPXCwEPtbQ3MtRocZWPXvG4ceO4Z408MF/90EMPectKzgkC\nlkTgiSeeYL7Spk3LwjSud/2LL75gAYzEMNq655576Pvvv+d70RZBsKHAuRUrVvBx5syZeev5hzQF\nChRwnW7bti0LdV/bJUbYmzdvpjJlyrjyQGf6ySefdB0bO0YbxjFG52j/aPfubR6dDxA0cTDsio8w\nbYUpqh49enAytHd0xOVbcBc1mQOO7+2xwTWojYzGYexj1Js3b14WmgsWLCCMmvHhQEOEGhgEAy5v\nhJ4yhGTy5MnZaANqaU3TCAYhw4YN4563UR7ux8cFPVoQVM+guMpfs2YN9/YPHDhArVq14vkovkH+\nBAGbIhDXu47Rr2GwBfXrd999RxkzZuRawpoahOkgqHnRRiHsDOGO9uZOmAvGCBmEeV+0Z6h742uX\n7ve3bNmSNVqYKkLHoF27dtSnTx8efSMd1NpGG8bIFAR1MwzQ1q1bRw0aNHB9Y3DNk7+4zuE8Rvf3\n3Xcfd7ZRT4x6YQwm3wKgIyPguyjY+B8vMwQfjEUqVKjAc0VQb7399tushoaAhIEIVMqlSpViVTXU\nybly5fLakDACxpwxVGcg5AmVNOagYMCFuSDMMRuEeahBgwbxXFi6dOm4MeOat/JhhAHVOOa2oC6f\nM2eOkY1sBQHbIuDtXU+aNCkLGQhLGF7NnDkzVnuDKhvTSTCMglEi5kZBWCZUr149bnM4xkgT7Q/z\nsdBAQTBCDTxmzJg42yXuMwgjX7TRxo0b8zwwvgcY6WJ6CQL9hRdeoGrVqtHjjz/OS61wX6NGjbhT\nsHPnTh69Ix1+cZEnz0a6NGnSEEbs+OagUw+bFCxNwhyzfAtUZ0Y90ODZohuoy9ZUBNCYMCqFuggq\nIYyEjV425pygWnYnzEn5u5YRRlloTHFRXNe9lQ9jMHeDkLjylPOCgJ0Q8Pauo61hhOlt1GjUzdt9\n6OxCYLmTIQAh3A2Kq90Z1z237m0PhpkY3eJbAWGM8tzzxncFvKED4At549m4D3nh2+RZJ3d+jLTR\ntBUBHE1PW+oqCAgCgoAgYBkEZA7YMo9CGBEEBAFBQBCIJgREAEfT05a6CgKCgCAgCFgGARHAlnkU\nwoggIAgIAoJANCEgAjianrbUVRAQBAQBQcAyCIgAtsyjEEYEAUFAEBAEogkBEcDR9LSlroKAICAI\nCAKWQUAEsGUehTAiCAgCgoAgEE0IiACOpqctdRUEBAFBQBCwDAIigC3zKIQRQUAQEAQEgWhCQARw\nND1tqasgIAgIAoKAZRAQAWyZRyGMCAKCgCAgCEQTAiKAo+lpS10FAUFAEBAELIOACGDLPAphRBAQ\nBAQBQSCaEBABHE1PW+oqCAgCgoAgYBkERABb5lEII4KAICAICALRhIAI4Gh62lJXQUAQEAQEAcsg\nIALYMo9CGBEEBAFBQBCIJgREAEfT05a6CgKCgCAgCFgGARHAlnkUwoggIAgIAoJANCEgAjianrbU\nVRAQBAQBQcAyCIgAtsyjEEYEAUFAEBAEogkBEcDR9LSlroKAICAICAKWQUAEsGUehTAiCAgCgoAg\nEE0IiACOpqctdRUEBAFBQBCwDAIigC3zKIQRQUAQEAQEgWhCQARwND1tqasgIAgIAoKAZRAQAWyZ\nRyGMCAKCgCAgCEQTAiKAo+lpS10FAUFAEBAELIOACGDLPAphRBAQBAQBQSCaEBABHE1PW+oqCAgC\ngoAgYBkERABb5lEII4KAICAICALRhIAI4Gh62lJXQUAQEAQEAcsgIALYMo9CGBEEBAFBQBCIJgRE\nAEfT05a6CgKCgCAgCFgGARHAlnkUwoggIAgIAoJANCEgAjianrbUVRAQBAQBQcAyCIgAtsyjEEYE\nAUFAEBAEogkBEcDR9LSlroKAICAICAKWQUAEsGUehTAiCAgCgoAgEE0IiACOpqctdRUEBAFBQBCw\nDAIigC3zKIQRQUAQEAQEgWhCQARwND1tqasgIAgIAoKAZRAQAWyZRyGMCAKCgCAgCEQTAiKAo+lp\nS10FAUFAEBAELIOACGDLPAphRBAQBAQBQSCaEBABHE1PW+oqCAgCgoAgYBkERABb5lEII4KAICAI\nCALRhIAI4DA+7V9//ZX+/PPPMHIgRQsCgoAgIAiECwERwGFAfvPmzZQ9e3bKnTs3PfbYY1S0aFE6\nevRoojnp0aMHDRkyxK/7v/vuO9I0je7cuePXfYlJ/NZbb9E///zDtz755JMB1TUx5cs90YnAzZs3\n+R3PlCkTtzO0tcyZM1PDhg3p6tWriQYlrnf4888/p8KFCyc63127dtHTTz+d6Pv9vbFEiRK0aNEi\nf2+T9EFEQARwEMH0JSsIoqZNm9L06dPphx9+oB9//JFat27NHwVf7rdbGgj4wYMHk9PpZNZ37txJ\nefLksVs1hF8bI4DO7cWLF/l3/Phx7nS+/vrria6RvMOJhk5u9EBABLAHIKE+hCD6448/6J577uGi\nHA4HvfTSSzRjxgy6ffs2n9uxYweVKVOGMmbMSF27dqW//vqLz3/wwQc8ak6VKhX3tL/44otY7P70\n00/UqFEjeuCBB6hAgQKEvPwl8Pjuu+9SoUKFCKOHQYMGuQQo1OboQKRPn57q1KlDR44c4exPnTpF\nlSpVojRp0tATTzxB48eP5/PNmzfnLXi5du0atWnThr7++ms+t337dub1oYceogYNGtCVK1f4/Jgx\nY2js2LFUoUIFrkeLFi1EVc/IyF+gCDz44IPctn755RfOStd1Gjp0KI+M8a4PGzaMcA40f/58evzx\nx+nhhx/md/7GjRt83v0dXrlyJeXPn5+yZMlCq1at4uv4Gz58OL333nuuY5SBTjcorrbiSqx2vvzy\nSypZsiSlTp2a2/qePXvcL/N+ly5daOnSpa7zH330Eb3wwgv8HWnfvj23HbTFUaNGudL4uoO2iTaL\n7wi+J2i7v/32G58zsENe+D4Bg/hwxHdh5MiR9Mgjj9C6devirT/yKliwID+P0aNHU9WqVZnl+PL3\ntU6WTKcqJmQyAkpdrCdNmlSvXr26PnHiRP3ChQsuDi5fvqynTZtWnz17tq5eel0JOV0JM101SP2+\n++7TDx06pP/88896p06d+H7c2L17d12NMjkPpG/btq2OfJCHUpe58nbf+fbbb/GV0ZXQdz/N+5Mn\nT9bz5s2r79u3T1dqMV2py3XVQeBr9evX19WInfOfMmWKXrp0aT6vhLWuGoyuGqm+YsUKPUmSJPr1\n69d19dHicsCPEux61qxZdSW0dSWE9fvvv1+fM2eOrkYnuhLUrvr07duXMfjss88YG5Q/d+7cWHzK\nCUEgPgRUZ5HfveXLl+sbN27U8T6hvSkhrKsPPd+qOrV6zpw5uV3t37+f3/u9e/fqyjZDVx1d/fDh\nw/wO16xZU1dCle8x3uHz58/rSjjrSvDqx44d05X6WEc7ALm3SRy//PLLuhLu2OU03tqKGlnrSphz\nmsaNG3N61VnXJ02a5MqXL/73h/aN9m6Q6hjr77//vr548WK9XLly/P1Qwl5XQlw/d+6ckcy1LV68\nuL5w4ULXsbGjtHJ8j+qA6EpLx9+TXr168eUaNWro8+bN4/3ff/+d27Dq9Otx4YiESu2vV6tWTV+7\ndq2uOtlx1v+rr77ido9nA77V1JyuOjZcVnz5cwKb/qHnIhQGBCDcXnnlFX7B1ChYHzduHHOxZMkS\nPV++fC6OIJzwEcDH5MSJE3xe9UBZKBuN1WjsEHjICy8v0uNXtmxZXangXPkZO/EJ4FKlSnH+Rlp8\nOMqXL6///fff3HE4ffo0X4JAVT1aFuJqNM7bf//9Vz948CB/vM6cOcPnIOjxQQMZHy/U1xDeOI8P\nBNKpuTkdAhgdDINUL1t/++23jUPZCgI+IWAIYGVroeOXLFky/qijPRlUuXJlXY3OXO1FaV70N954\nQ1daJz1lypQ6jiE08O4bZLzD06ZN43ZhnEdH2RcBHFdbcRfAzz77rK5Gntz21TSOrqaujGJcW3Ru\n0YlVc906BLUarXKnFx1gCC41IuZ6oC7eKC4BjHqp0bcLE7TNXLlycRYQhOiEg5YtW6Y/88wzvB8X\njrgIAfzJJ59wOvzFVX90/CGoDZo1a5ZLAMeXv5HejltRQZusl8CcKFQ56uUn1Runb775hlavXk2v\nvfYaq53Onj3L1wy2YDQClQxUUUo4k+qtk2oMpBqZSy1spL106RIbnaiXldMhrepV0u7du0kJNFZ7\nQ/WN/fhICWdSQtiVBPuYrwav9957L5ePizDiUg2Q1GiXoPpWvW5WTffp04fn2aDKjotQBlRsBmXL\nlo1VfSgHBBW3QWrk71LPG+dkKwj4igCmYaD2PXDgAE9/YD7YoO+//54w5YG2gh/2lYCm5MmTs3pX\nCRyehqlduzahbboT2laRIkVcp2DU5Av50lZUB5VUZ5a/BTDWdFc1G2VAPQz1rhJupEb3pDq0ZEzn\ntGzZkjp06MBqX9WhJdWBMG5LcIvvCObKDUzQrqF2BlaYKoJ6Gt8wpVkgY4opLhyNwmAAZ1Bc9cfU\nlLsRW7FixYxbuGxvz8mVwKY7SW3Kt23ZXrNmDY0YMYLc52/r1q3L80ho4GhA69evd9UPHwt8OGDR\niRcegleNkAnzPRDa7gTBjDlYNB6lxuZLeNlxrlatWoQ5IxDmtOIj3Hvy5EkyPijID5afmD+7desW\nKXUyZciQgbNQajCqUqUKKZUZz5nhQ4WPlxo9QLsSZzEoA1afBiFPpVonNbrgUxDuQoJAMBGAhTHm\nYtUUDb/fjz76KOEjr7Q7rk4pBAs6yeg8QhjAgAttYeDAgWyrsWnTJhdLmB+G8DMIHVSDYNvhLvTQ\nDtFm8I770lbUFBW3dbQ3dAIw76zUv7HaLgQg5p6R3hCGKLd3795su7FhwwbmW00p0YsvvmiwF+8W\ngwMIc9xrEDrG4B/tEh18fMewmsOY144LR+N+dNJB8dUf5aqpJk6HP/eVIQnl77rJZjsyAjb5gUFY\nwcACy4aUiowbOxqQUtfyS48erZrnJaXmZc7Q68OLiBcXS5cgfCHY8KKih+xOGN0ifxhQ4QMCoyZY\nHCNvfCzwQcEPhhkGIV/3HwzBMKrF8gTwh2tK1cSGKxiV4iMG4xTwgGUX6KkbBIOJFClS8L0wHAN/\naHgQyMjLnVAG7sfHDbzCCA0fCXQWhASBUCHQuXNn7kz279+fi1DqVFJ2CAQDK7zTzz33HBsQwugI\nbQ2jQbyXag44FkswElTzxdye8b67j1JhcKSmmThPdC63bdvG90PAg7y1Fb7w3x86CTNnzuQOeatW\nrbgNeevQovOOjizyx+gUpOaAqVmzZiwswTdGsnER+HFv/zAQBW/gHZoA0IIFC1j4GxotCHp0SNT0\nlqu9xoWjZ7nx1V/ZxBCMzbZs2cK4KxW063Zf83fdYJcd9VCFTEYAhlQwcoIhlhJOuhKIuupNurjA\nXBIMrpRaVofRA4yxMA+lhCcbemA+C/OyMBKBIYQxB4wMkDeMlpTA5flWzG95I2MOWL2nPPdqbJV6\niY1O1EiWjVXSpUunqw+AjrldEOZvMAeGOSbMQavROp9XHzauB3hUHzGeQ1IfJL6GOqCumMM25s9w\nQVln8jybUk/xvLdhKII54DfffJPvxZ/nseuC7AgC8SBgzAGr0WeMVDCygq2Emprh9qPWBfNc6lNP\nPcVGTZhPBcFOAW1TdWK5PcFIC+T+DmPeEoZYyoJax7ytMQesBDfPm6pRI2+VQHUZYcXVVtzngJXW\nS1dWyHyv0oqxgSMX7uVPCUSeLzYuoa3Wq1ePecf8KwzIME/sSZgDNtq9sVUrMjgZDCzxDcqRIwfz\nAWNMg4APvj0w9jII36G4cAQPqqNtJNXjqj8SwLAMmOMe2IGgfFB8+XMCm/5p4FuBLxQGBOAFS71Y\nLnWxOwsYieKa54hQGVqxKhgqrvgIKi+oeQNR5ULtrQxXeN7XsyyMEAw1t3EN/KI8qJ89Cdcwl+tJ\nqCdGxwmpxT3vk2NBIJgI4P0EeXtH0ZZURzTO4qDpwQgYdhqeFNe98bUV9zwwMke+UDH7S+AJfgeU\noZa/t3J6qOIx9+tP24wPR3cmvNUfKnzMA0OLB4JGYerUqS7tAc75mj/S2oEsIYCNPkAgwsIOYAuP\ngoAgIAgIAt4RgPob6vKOHTtyp19ZY5NagsX+BrzfYf+z8Q+jglw/9ObgVAHGDzAIMPwgo6cDb0lC\ngoAgIAgIAtGJADRnME6FISb21brhiBa+eMqmCmAso4HhAlQN8PLUpEmTWIZE0fnqSa0FAUFAEBAE\nMDiDxbdyXMLGb5GOiP8TCwEggnVz8HuMtaRw0A8Xh1irhiUygRDM9A01diD5yL2CQLAQQA8elqhC\nCSMg7TdhjCSFuQiY1X5NHQHDpyhUzzDdB0EIw1wfJu2JJeUWjZfkJPZ+uU8QCAUCWJ718ccfhyLr\niMpT2m/8jzPt+a+p7HszKPmtu8uX4k9t4lVlu5vh+EnK89n/1wqbWHrIizKr/Zo6AsbibuV7NMaa\nUKxzVab7ruAE/iKLke/zzz9PWDcn5BsCsG6ENxuoeyQykW+Y+ZsKaysjXSuD9whOHzBaSCzF1X5h\nZQ+bEax9j3bSX3uVnsIKg3gsscOFka7egeJJ7jrZAA+68palqaAWdiez2q+pI2A8FHhUgsB1J7hN\nw3xwfITlKvAK4/mDWTqWAQj5joDydcvLC9555x1STuT5RszPoxODxfDuHnB8z1VSRjoCas2rK7oW\nPCCpNZrswQ1zdu5en4KBA5a+qHW5wcjK9nloqoPjLnz1fftJVw5CrECam/AFP/q8D+nOq2+QfuKk\nFdizPA+mjoDjQgPDffSE4T4tLoI/YwgMT4KXKIziEvJv7HmflY7R04fnGYQg9LaWMNi8QgBjfSD8\nx4LgVg5uLhECEJ5q4Pv5008/ZX6CXbbkZ18E4O9XOWDhtZgq6g57SkJoTNhyYL1mz549g1Y5LEmU\nZYlxwPlIenJ260la9aqktXmONC/r6+O4M+Sntf59iNZtIOdwFQLxyayUZOigkJdp5wIsIYARwzIh\ngr9W/DwJgtdOqj4IO/h8hnNyLMnCYnnE7kRMYBiowdez4TfVs66JPVahiEhJ1ru/3/+gVEprsGPP\nbvr7/Hm6tWo13dy8lcYqn7iZJk4hx6CBzAPcwaFDICQIeCKAThoChBgOHhAXGnFchcxBQFOdIMe8\n2aTPmE3O1u3IsXQhaYlw1BEKbjXlIEirVYP0GtWJdv7f13soyoqEPC0hgNGLjgaC0Rl8nWKkgNE+\nfCFjVK/cvnHEFYwq4BUKARkMUnHI/hOcylPPb+qnhCd+OvYhVHH833nlr+3uObd0pAQuJb8HLn6I\ngLP6rfr+IjUqXITSFClGy9TIO9+DD9C3SZNQZtXBcXZ9hb6vUiHonQCjPrK1LwLoNKq4sKwaRnQh\n+EnGXC38KxtO+YNVO5kDjh9JTXnH0np1J71BXVKhwki5yor/BpOvQhBT+XIxSnWuWkPqw0JazWdI\nUx72hNRjExDMQUAFuaYPP/yQlL9j0jdvoWcGD6X3lPC9MWI0ZVCNaeSG9VT89r+U5vWBdMddsOJF\nvk8ZufwnPHlfCVMNx8b5xzLzvgNClgXtf8L2v2NuDG7V/F0t2+p/4gQbufSfOIHdTWLx+5h0D1Nl\nxd/+Y0do9K7P3e6QXUGAWEsDTQ1CSR45coTdNuK9hiUzAhYEkzAH7N4RDWbekZSXpmxq3Mk5/0PS\nns5PWoGn3U9bYl8rW5qcU94jfc4HpNWtTVrbNuT5bbIEoyYyYaoAxmhv69atXquHiB8wxopUghEZ\nh/fb/wU5q9Umx8SxpGa56N8H0tDgI4fp0YJP04stVP1Z0BqCNFVIVEuwGsccMKInGYR5aIQ4vFK5\nIo35/jKlhPAWEgS8IKCc5bsiaiFEJWw41q1bF68NB0LXIQKYJ6FDipi6bZUBoDvJHLA7Gr7va4UL\n3Z1/zZyJHO3bkpYzh+83hzglDMmSqCkuWErry1eRCtdGyiNTiEu1dvamCmDMcWIZEtSvnpbQ8Tk7\ntzaEvnGHWJqZVai+rzp2plTbN9LcXTtp2uVL9HSJYjRn0gSqWLEi7Zk0kVT0IlesXd9yTlwqd+GL\nHBDcG9asoDttO5J+8BBpRQrzsfwJAvEh4IsNBxzsG0723fOymw2HO+9W3Nfy5rk7P7x+IznfHkKO\n9yaTptq2lQjLlLTuL8ew3dFVvGFSa56pbJmoMr4zVQDD6QZiSw4YMIAw4o02GpryfprxwP20bcpk\nUqEGSYXnY6tnqPSsRFqr5uT8cBElEQFspcdiWV5CYcMhc8CJf9xYGgRDqDvVqtDnar3/I2ruHkEO\ndDW1xVNXic86qHfGsHJXccCdS1cQvTuNtAb1SGvUgDQ3DV1QC7ZQZkmhisTyAswBmkFYMgRL32gj\nfckycjg06rJjK3VVSyysTFrlSqTPmkv6mbOk5Yo7mLeV6yC82RsBmQP27/nBvz6WDkKoQdOI5Yxv\nqIEO1PufbtrEPvhrPPY43Zk+kxzNm5JWprR/BYQ4NZZSJZk8nnTlrlhf9RHpK1aR1uLZEJca/uyT\nwpJRBXenWbNmkQrsTE6nM06uYK2bPn36OK/LBe8I6OfUS7V4KTlmvGcL9Qr3oJs3I+eChbKOz/sj\njcqzZtpwyByw76/YxYsXWejCGv2KmlfF8jB81+FnH57EIIyhbatZsyY5mjUm5/yFRGoJk2PYIMt5\nrdKUZlDr24t49YcbBE5luIpOg6am8SKJYqigIWDjW1OLXqmQfwjoylWfc8hwnvNw92bjXy7mp+a1\nfPMWkK7U45oyuhESBKLZhsPKT3/o0KHsV79atWrMJr7TWHHRr18/On36NDtJge0NSCtXlpKon378\nBNG166TWP/J5q/3FUj8fPEzO8ZNIq1qFtPp1SDNJYxtqXNQal/9T2rRpCcZQMMhBDwr7eHCI14tr\nDiyJEfILAR1zGrlzkaNSRb/uC3diNACtSSPSP1wcblakfIsgYNhwwOkGppLcf8E2osQcMCykhRJG\nACNc9yVbCPUK16BYKoY46xDGnvP0Wv58sZYqwXuVfvpMwgWGIYWjX282LqO0D5Nz0LAwcBCaIr1K\nVKikIXRXr17NHm4OHz5MCBkm5B8C+p69pKtlR1qPbv7daJHUMIbQ9+4j/epVi3AkbIQbAbNsODCK\nE1/Qvj3tqlWr0ttvv01wjnLgwAEaNWoUNW3alFc1YEoRsXWNEXC8OaqBglP5JbijVmroXxyIN2k4\nLmrKQZHjuZaUZO7MGMXrJ08RfnakGCpoowLw1oRQah07dqS+fftSlixZaPbs2cZl2fqAgK6i4TjH\njCPHUDXPouIf25HYCXy9Omr+ehmr0O1Yh2jlGb7Fse78k08+4Y/yK6+8QlizaxeSOWDfn1SNGsri\nWUUlgk9udFzgcS9XrlyuQCu+5uRoWJ9I/bAEkQ0wixX19dbwpkudipxvqTXmCgNNucCE5i6WCju8\nHMZZutcRMBbajx8/nkPWwR8w9tmJRJzZyAVPBJwjx5CmhJeWJ7fnJVsda00bk75pM+nKUYeQPRCA\nsxu4O4WXqq5du9K9qgMYzEAJ9kAhurisXbs2IaIZgmJUqFAhoMpj/b+jVYsYeThnKr/Ta9YS+5WP\ncSX8B9rjj1OSOTPI8caryrnHVdJ37Q4/Uz5y4FUAI0YvVBeLFy9mq10I34TCBfpYXlQkcyoTevhn\nRqQSu5Om1udp1aqSviz6lo7Z9dnt2rWLVzZAiwVVJIxxsNTQTiRzwNZ6WlqVSkRHj5Hz2VbkHDaS\ndBVExmoEr18O5R9bqxizA+J8f6ZlVdQxVNAwrsB8r0FQX+EH2rFjB1WqpB6CULwI6Go9nq6shx3T\n340YP6eaWjfoxLyQ6hVbKfRZvA8iii8i5jYMbxDredKkSYQgH3D8YieCKtXdsMhOvEcir7A61gaq\nOL8IBLNlG6mA4kSPPspV1dVgzUo+nWM4+ACHyijNOW4iqdBzyoK6rlqK1YT5tsJfDAH8qAIUHlO8\nURo1EhKKHwGsXXMOVkuOXupM2n8vZ/x32OOqptZ+a6VLkb76I9I8VFP2qEF0cYkwlwgZCOOckiVL\n0qFDh2jEiBG2AkHmgK35uNABRyCFGPTHH3SnRx/SKldU2jK1TEitnrESOerUIlI/XYVf1ffuj8Ea\nvtnhnC+OIYBLly5N+MEIC/6af1G9HKwLhresHj16UOHC4hs4xtPzONCVqkPLqmJ1Vr+7Hs/jsq0P\ntZbPklM1Ml3NCYfzhbU1iCFmHtorz7i8cPsKwnnEnRYSBIKNANxbOnq+Qv9r7yrArai69pq58tti\nfIqFgpIipbSAlIgo3SUI0oiFlICUEgoiXQLSCCqIioCUdGMhZWK3oPJ9Kmf/692XOZxz7px7ak6v\n9Txz78SeHe+cmbX3SrXmHXJ16qbTDZqdHnS6mYjrM26+mbB5EXuqnH6DI4hh4sD+0dkZzKr9B0hx\nWXNgf68qIjmw1QGPHj2aBgwYoC3pEN4MEVTAmIX8IwCzffXuFp2j03+p5L0CQwe6tQipN1cl7yBS\nvOeIgAQJlt2GXL7JRKIDTqanRaSTQDATNl99mQyfmAewqFYQWScicc5irJDV1u3katpSu43adVO9\nu5lc4yaQYiMvJ8lrBWxVDCduZC7ZvXs3IcwZLCinTp2q44paZeT/WQTU778TrJ5N1pEkUrDzsz10\nZg+Wka6Bg0nBupsDvgslFgLwm/XnO4t0mMlEogNOpqd1tq9a/5o/39kT2GNrfFcfXjWyd41R9U4y\n7r0nYaRour93VqYM3hSL0okDwIBWrlxJpUqVojp16uhjZGkyeQHiGjgk89ihv7YMGMZWEDk3bNhQ\nuyDlZQV8vI044FrxzDPPZBk2nM+LFi2a5XwsT7hGPZfpf5aASbCdxEHnFs19vXZLMu6u6WTVUpeD\nCGD1iNSSyLIFbwYw3zJlymjDLAebiWpVogOOKrwxrdzAKhPJH/bs1VJCQhjMBMy0hrgHBEkf07nn\nnksX4PgMwchMWQcO/rdlwI899hitX7+eEFsU4eCgC0Yc2HgS8uVWqlQpSxc6d+6c5VwsT7hef4Po\n51/IGDY4ls3GrS29Cn5hIpEw4Lg9g0ANwwIa9hqVK1emAgUK0IkTJ/Q7HOg+uS4IRAsBLTErW4YM\n3nzpdM/HOF5CITLKl8sSHtO3bKyOM1jChy3aZKsDRsNWYG848vfv319n1Ih2Z7KrHzPic845J8uG\n+NRajJDdzVG6plg8r16czUr5fmkjkjVuK0k8NSS1ZWuUUJVqI0XgLxalYcJavnx5nQWnXbt2OqhO\npPVGej9W476bv+QvogOOFO3kud98/GHiYNXkmjyNTrdqm7gd54A2EJ87SbYr4F69etHq1avd7YAh\nI54oQlMKZSKgOOyZdjnq2IGM669PK1jMVpy2cv4iymC9iFDiIQD7DdhtIP4v/iOFKERq8SSokJC1\nx5eQradYsWK+p3VIRfEDzgJLSp5AtjWdcY3jPPsaa2nLY04QYZQvyx4meeM6flhII0uck2TLgK30\nVmgI4ivkAUUQdqGzCGDlS7mu0hZ0Z8+mx54Bxsv5RNW+/aRXxOkx7KQZJfS9I0eO1BnM8P8dTsge\nbz9g2JXYBfLp2LGjbQpU0QEnzc/N0Y4anInPi/LcSMShJV2DhmYG0njwATJTSP1ly4DPO+88wgZC\nqquWLVvSokWLxBXpzC9DHXhP+7yZs6afOZN+/wysghfwKhgiaaGEQgAxgX1XmwjMgTjBQoJAMiFg\ncAIRo0c3oh5ECuFUf/jRq/s67jPKJGnMfVsGjBf4ww/ZUo0JFpRr1qwhiKWF+EfAHzLEQjX79SaD\n/S7TlYzq1UjNeikza0qhgukKQ0KOG94LtWvX1n2DSyFiQkOnmkyE/v7KCUDy58+fTN2WvkYRAeO6\n64iweZD65x9SCDPJrk5UsgSZXTqScc01HiUSe9eWASOh8z88MBCMnOrWrasNOhJ7KLHpHVIMal+2\nBDSjjw0Cma3AqtFo3pR1wQspg1MuCiUOAjly5CBsIEiw2rZtqy2ik2kSLX7AifN7SuSemEi8wBti\nMSh2c6ITJ4k8GLDauYuoQH7CSjoRyYsBI/oVHJDtCNbQ8Xb5setXLM+53mbDtONfkTGgXyybTdi2\nYJCAxBOK/U21EUXC9jS9OrZr1y73ewyrY0izks2GQ3TA6fWbjXS0OmsbS+V8SW3fSWr4CCKOT23c\nVoKMrp0TymMlCwPu06eP1hXB+ApMF4meEQADgd3TmdQ335CaMp3MF8aQcWZ1kc54YOyICY3k12rh\nEjJYJC+UGAhcyoYsnklVKlasqCPbJUbvpBeCQOwQMB95iNTDrEA+xokY2GiUExsQJ8jWHYD4GsFB\nqFjRgFne1MGPdShKZohkjmcpKCelAKlvvyVXF64feugqlclsd78+H+wfLwZsGV8h9eBLL72krShR\nUevWrWn27NlZDDuCbSTZy2mXo+EjyWBwjTx5kn04jvbfqF+XXM1bk/r+ezJy5XK0bqksPAQQfANb\nMpPogJP56SVW33WcCA6PafiGyOTYEq7XVhAN4wiLHAHLKHUbmQ+2t+28a/QYMqdO5JjR20jNW0BG\nl066nNp3gIyWzcngFIfhxKPwYsBWy/fee6/WG7Vq1YpOnjxJs2bN0q5I1vV0+w8xK110IZkN6qXb\n0AOOF+HbDI4NrRYvJQMzTaG4IbBixQoaNGiQbfulS5emmTNn2l5LxJOiA07Ep5JafTI4sFPG6BGE\nBRYdPkJY5YJgZEvs6fIj59V2ExszGvAMKlyIXJwRyU3wiPn8C50lyWjWJGS3VFsGDNEzDLHgP4h4\nmEjqXbZsWXeb6bSjPvyI1Mo3yXxxWjoNO6SxGpyi0MURbFTb1pTFjy+kmqRwJAhg4lytWjWd/3fc\nuHE0bNgwNhq9TseARqakZCLRAYf+tGCLoSfCPCE2mFEIBYeADpPJbkyWK5PRvw/RqjcpZ86cWSuA\n2PqM+BkXoXqDobJibyFkU0Le4VDIlgGjgvr16+stlMpSrSyyY7hYgW/2fjxhregSAXNtAHFXDVJL\nXyGDI4MJxQcBhGqF1fPOnTt17PZbb71VdwTBLuDJgAQNQqmLgOvpUWTcXpJcI0brQRo1a5DeOBKa\nUPAIaFFyzkvo/9jGxU3/+Q8pTiKh1q4jo0J5UnDr41WxevkVUsVZh4wAImFERPRiwC+//LJOZ3bo\n0CF6//333W1jB7Gho2GIBT/FeIfJ8xqox4Hi/I8IHm6US8/VvwcUAXeN5k10Mm4FfYjHDDHgjVLA\ncQTwnoLpfvfddzqk4+LFi/XK2PGGolih6IBDAxc2GPCFNTo9SGZnji7G4RvVmnfI1bEr0U15ybj7\nLjI45V52CedDazG9Spsjh5N6aR7RVVeSCe8Pxpf1s2R0fjDTE4QlxeaYUSGD4sWA87CBEXQvN7Hs\n2/IjtGq8xsO3yjoX6n8EiR81ahTt3btXh8pDfGmkTIN+CkZf55+xTgu13miUd63foINMmDOnRqP6\nlKsTBljIZqKWv05GqxYpN75kGhAyIc2YMYOsgDqIZNekSRPHhwAPCUygPdO2OdWI6IBDQ1Jt2UYG\np/yzDIEggsamunch2rGTXKvXkpo4JTPjEDNjpAO0yobWUnqWxqLC6MZYniFPEb9lkGVdC+W/6VkY\nMWTBhJGIGBFomjZtSt+ymfWPP/7oiB8hZuKgfv366RU1kjt89tlnOs3g8uXLPbsS133FM0nFKffM\nQf0TJnF0XAEJsnGjZTNSr7xGCqb+QjFHYM+ePQQp1o4dOzTzRQcgksb5adMit2GYMGECwUMChPpg\naY1c3BBtgxE7SWAO0K0JBYeA2ryFjIoVshSGoRFit2dwulRz4Vwi1nW6XpxDriYtyDVthvbhz3KT\nnIgZAl4rYKvVp59+Wr9QWJ2++uqrmhljhYq0ZpHQwYMH9cuK7CdXsmN0hQqZP5g777yTXnnllUiq\nduxepEdzDRuRaVqeL59j9aZDRQaSWRe5hdSbq8gQi/GYP/L/sJ4KgTewerz99tu92kdGpEjpa47F\niwn6n3/+SdOnT6f9+/dzFrmLaMiQITp2ADIvCcUeAUSBgp8rlfJ+5r49Qehc/V7yu6m+/DJTRN2r\nL9Hll2fqimtUI9hzCMUOAdsp5vbt22no0KH02muv0RNPPEGPPPJIFp1wOF1s0aKFNg6BPhkfiE6d\nOmn/YlhdN2/ePJwqHb9HLVhElOMcMtmkXCh0BEykFFv8cqZpf+i3yx0RIADmCCnWzTffTDdyijdI\nsC5k0RlS/hUvXjyCmr1vRWKHEiVKECyrsUq97777WP3IsXgdJOiAjx496mCNqVuV2raDjNKlQgoQ\nhMkyfF7NlxeyzvhBoqPHtCfD6f4DSW16l3SQitSFLGFGZsuA8fI+//zzOon3HXfcofedcEMC0920\naZPW/8K3uHfv3loHDP/EwoULxx0UBV8wFqGaMEMXCgsBoyAHgLj+OlLvrAvrfrkpcgSQexerUTBF\nTG5hW+HE6jR37tz02GOP6RgBa9eupa+++ooOHDhAXbp0oUaNGkXecY8asIrHREIoMAJqy1YiG/Fz\n4DvZjYZF/UgpavZ9gsxli3Wcexe7Xboac7YzTnKgPjoYTDVSJkwEbEXQzz77LE2ZMoXmzJmjsyGB\n+TZu3DjMJrxvQ5g8SzxWs2ZNwhYMHTt2TGdl8i0LsbYTBmLqv/8l19CnyXy0JxksyhMKHwGTjbBc\nrEOnFMrbGT4asb9z69atBDUSsiDB+AoTXUidIqXu3bsTNqimwHixugaTnzt3LhUpUiTS6r3u14yB\nmYNQ9gjgu0X7ORrTkyxKjpAQaMJgd0KCSyHb/cDlBslnODNPphU13JquvjrCVuR2TwRsGfDfbETz\n3nvv6QAcsKRcunQpIcUZdEzRoLFjx+qk3I8//rjf6uGqBL2xLyF8ZgZn5omU1ITJZBQvRkblSpFW\nlfb3Y0bNprGEmTkMQIRiiwC8GBYsWKDVRgiiA31tPgftGSAhwwa6LMgsM7/99ht9yXpHX/rll1+i\nYkXt207KHiPbz61FCBHpnCSDv7UIsUi8acngmrWZMY/z3Mj6YnZp4rjHTrfpZP+TpS5bBgwXhjZt\n2miGi9Ul3BhgXQlxllOEdIfQH4F5QhcciCD+wuZLyFUMw6lICBaEikOKSbSrSFD0vtdsxSKs+Yso\nQxiwNzAxOIKtBfS0iIoFK2W4/Y0YwRlhokTBTKA//fRT7Wro24XDhw9rt0ff8+IH7IuI/bF2P6pU\n0f6iQ2ehVsKm4IYDlyb2L1aTp2bGSIBLExt/GQlusQ5vG8umoFy5ctp+wSF4IqrGlgHDaANMcdWq\nVbryvHnz0rZt2yJqCDf/y+G6+vbtq427cAwGjJUtDLCQhSkepH7+mVxjxpE56pnMWJ/x6EQKtqlX\nvjNm6QwkekWcgmNM1CFBfIuPzZtvvknwvX/rrbd0KFm4F0aDgplAwzcZmy8hYIjdBFr8gH2RynqM\nGMaKGaLZNfACJuvdoZ/RIRvZ1ziDN8UTPLV+I7nmcHCKUc+RAQvqWjXJYF6RiDR69GjtdYMFH/gQ\naN26dQR1DVQpPXv2zBL7IhbjsDXC6tChg9YdIY8o9DsPPfSQI2HsYNgFQqStTz75RH8k9u3bpyP2\nLFy4MBbjzdKG6xkO39aogZ7hZbkoJyJCwMAqGFblQjFFAJNlMGF4MoAQF3rMmDGO9gESLATiAMEV\nCZuThP6LH3AARFn3y7oAMtiNKNZk8PM2695HGZPH6xStHLeRXH0H0OkHu5CLQ9KqX3+NdZeybQ/x\nLH7lPkGieznjBYlu27ZtCak6EUgGcdQhNYo12TLgKlWqaEd7hLRDQGrMpK8PI86l72C+4Zy60CV7\nRtlCvE3EqT1+/Lhv8agfu15exvkh2cCAXWeEnEfAQILsrzmP8qHDzlcuNfpF4KOPPiKI2cDEQPjo\nOBEoAyuHXr16aevkQoUKETbEmx4+fDjb6XCQeqGYIqA2s41FpfjbWBjMG8wOD1DGkgVk9uDQl599\nTq7729PpfgPItWFjQgTmgToGvGfRokXagPC5557TAWtwvmvXrlS+fHlavXp1TJ8fGrMVQe/atUsn\n9H7yyScd7RDyCkOPDJcFS58Lxjtv3jwtDnC0sQCVKV6Bw+fXnM7GV2c+VAFukcshIgCRldG8KeuC\nF1LG8CEh3i3Fw0UAKp3KlStr5ogEDTCibNeuXbjVue/zlGBZk2gYbMI1CRIsrCicItEBB0YStivm\nxHGBC8awhFGiOGFTD/cgbVuzajUpdmfScahZX2wUzUwQEsMu6eA0MEzEIrJq1ap05MgRbUT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gsvtJqW/4JAZjCOIreQenMVGQ3qhYSI4ri50PUahQuROWcmGfw7TheCpTOiYCFDGKLYIRQlCAy4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\neOEG4kg14GU8goAgI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- } - ], - "prompt_number": 5 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} - } - ] -} \ No newline at end of file diff --git a/src/calling_ruby_example.ipynb b/src/calling_ruby_example.ipynb deleted file mode 100644 index f5233e9..0000000 --- a/src/calling_ruby_example.ipynb +++ /dev/null @@ -1,62 +0,0 @@ -{ - "metadata": { - "name": "" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%%ruby\n", - "puts \"Hello from Ruby #{RUBY_VERSION}\"" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "Hello from Ruby 1.8.7\n" - ] - } - ], - "prompt_number": 1 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%%bash\n", - "echo \"hello from $BASH\"" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "hello from /bin/bash\n" - ] - } - ], - "prompt_number": 2 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} - } - ] -} \ No newline at end of file diff --git a/src/data/CapeTown_2009_Temperatures.csv b/src/data/CapeTown_2009_Temperatures.csv deleted file mode 100755 index fa97a7e..0000000 --- a/src/data/CapeTown_2009_Temperatures.csv +++ /dev/null @@ -1,366 +0,0 @@ -high,low,radiation -25,16,29 -23,15,25.7 -25,15,21.5 -26,16,15.2 -26,17,10.8 -26,17,9.1 -25,17,9.7 -25,17,12.5 -23,16,17.5 -25,15,22.4 -30,16,27.3 -26,15,29.1 -25,17, -23,16, -25,12, -23,17, -21,17, -23,17, -27,17, -30,16, -26,16, -23,15, -25,15, -25,15, -25,17, -25,17, -21,15, -27,13, -25,16, -25,17, -25,18, -25,18, -25,17, -23,16, -26,16, -32,16, -30,20, -30,20, -26,18, -26,20, -25,17, -30,18, -33,16, -25,17, -22,15, -27,17, -28,16, -32,15, 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-
-http://ipython.org/static/IPyheader.png

http://ipython.org/static/IPyheader.png

-
-

IPython in action creating reproducible and publishable interactive work.

-

What is this?

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This repo contains the complete talk I intend to deliver (have delivered) at PyConZA2013. It contains all the files needed to build a final publishable PDF document from an interactive notebook and even adds a custom front page.

-

The Complete Talk GitHub Website can be accessed here

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Background

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IPython had become a popular choice for doing interactive scientific work. It extends the standard Python interpreter and adds many useful new futures. There is really no need to use the standard Python interpreter anymore. In addition to this IPython offers a web based Notebook that makes interactive work much easier, and have been used to write repeatable scientific papers and more recently a book has been written using this platform, the online Notebook Viewer and GitHub. The development of this material and tool chain to compile the notebook to a publishable PDF, has inspired me to maybe even try and turn this into a complete (free) book. Let’s see what happens.

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Combining the most common scientific packages with IPython makes it a formidable tool and serious competition to R. ( R is still awesome! )

-
-http://ipython.org/static/ipy0.13.png

http://ipython.org/static/ipy0.13.png

-
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As a matter of fact you can run R in the notebook session, embed YouTube Videos, Images and lots more but let me not get ahead of myself....

-

The science stack consists of (but not limited to):

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packagedescription
pandasdataframe implementation (based on numpy)
scipyefficient numerical routines
sympysymbolic mathematics
matplotlibpython standard plotting package
sci-kit learnmachine learning and well documented!
-

Talk contents

-

The talk will aim to introduce these tools and explore some practical interactive examples. Once completed it will be shown how easy it is to publish your work to various formats. Some of the topics covered in the talk are listed below:

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itemdescription
ipythonquick intro to ipython and the notebook
setupset up your environment / get the talk files
notebook basicsnavigate the notebook
notebook magic’sspecial notebook commands that can be very useful
getting inputas from IPython 1.00 getting input from sdtin is possible
local fileshow to link to local files in the notebook directory
plottinghow to create beautiful inline plots
symbolic mathquick demo of sympy model
pandasquick intro to pandas dataframe
typesettinginclude markdown, Latex via MathJax
loading codehow to load a remote .py code file
gistpaste some of your work to gist for sharing
jssome javascript examples
customisingloading a customer css and custom matplotlib config file
git celladd code to a special cell that would commit to git
output formatshow to publish your work to html, pdf or jeveal.js presentation
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Get the processed presentation files here:

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formatdescription
IPython notebook.ipynb file to run in browser
IPython html notebookconverted to HTML and served online
IPython pdf notebookconverted to PDF for download (to be added, needs pandoc)
IPython pdf bookconverted to pdf and a front-page stitched to it)
Ipython reveal.js presentationconverted to a reveal.js presentation and served online
Online IPython NBveiwerview on the ipython notebook viewer
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Dependencies

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I was given the challenge to develop all of this on a Windows machine as some of my sponsors want to demonstrate that this stuff can not only be done on GNU/Linux/OSX. So all the tool chains are Windows based. If you know Linux, then you are the type of person that would easily port this. That being said the Windows GitHub client is refreshing. I have also added a MacBook Air to my arsenal and have been porting the toolchain to Mac aswell and it seems to be working fine.

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packagedescription
IPythonTo use NBConvert you need V1.00. If you only want to use the interactive notebook then v0.13 will be ok.
pandocThe document converter used by IPythonr
MikeTexIf you want to do a TEX to PDF transform. I had so many issues with the TEX to PDF conversion by NBConvert, so settled for wkhtmltopdf(below) to convert HTML to PDF rather. (Convert notebook to HTML with NBconvert and then from HTML to PDF with wkhtmltopdf
wkhtmltopdfConvert HTML to PDF (i could only install this on windows)
wkpdfI couldn't get wkhtmltopdf to work on os x so i installed wkpdf for handling the HTML to PDF conversion on my Mac. It's a Ruby Gem install and painless.
pdftkCan be used to combine PDF's. In this case add a frontpage to the generated IPython notebook PDF. Only available for Windows.
ImageMagick | for compressing the PDF. Still experimenting with this.(have not got this working yet so not needed)GhostScriptneeded by ImageMagick(not needed as PDF compression is not functional yet)
anacondainstall anaconda from Continuum Analytics. Almost all the Python packages are included and it has a virtual environment manager via it's console application `conda'
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How to run the Interactive Notebook

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Navigate to the src directory and run from the command line:

-

python ipython notebook

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If everything works your browser should open and you can select the notebook and start experimenting!

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PDF, HTML, Slideshow Build Script

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There is a build script in the src directory. It is an IPython file. You can basically build shell scripts this way. To use the power of IPython commands save the file with the .ipy extension and call it with IPython. Even the magic’s work. To build the document use ipython builddocs.ipy You will have to change the paths to the software however. Currently I can use the build script on Windows and on my Mac but it is a bit of a hack.

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Cross Platform Output Rendering

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I have tested the HTML outputs on my Galaxy S3 and S4, IPAD and Nexus7. They render very well. Even the downloaded PDF was easily readable on the NEXUS 7 in landscape mode. In conclusion the produces work is really very well packaged and easily consumed on most platforms. This is not bad, and all done with open source software.

- - -

About the presenter

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  • I am an Electrical Engineer and is currently working for a consulting firm where I manage the Business Analytics and Quantitative Decision Support Services division.
    • -
  • I use python in my day to day work as a practical alternative to the limitations of EXCEL in using large data sets.
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  • LinkedIn
    • -
  • I am also a co-founder at House4Hack
    • -
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The IPython notebook

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The IPython notebook is part of the IPython project. The IPython project is one of the packacges making up the python scientific stack called SciPi. SciPy (pronounced “Sigh Pieâ€) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. In particular, these are some of the core packages:

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-SciPy

SciPy

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Quick IPython introdution

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IPython provides a rich architecture for interactive computing with:

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  • Powerful interactive shells (terminal and Qt-based).
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  • A browser-based notebook with support for code, text, mathematical expressions, inline plots and other rich media.
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  • Support for interactive data visualization and use of GUI toolkits.
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  • Flexible, embeddable interpreters to load into your own projects.
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  • Easy to use, high performance tools for parallel computing.
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The main reasons I have been using it includes:

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  • A superior shell
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  • Plotting is possible in the QT console or the Notebook
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  • the magic functions makes life easier (magics gets called with a %, use %-tab to see them all)
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  • I also use it as a replacement shell for Windows Shell or Terminal
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  • Code Completion
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  • GNU Readline based editing and command history
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Some helpfull commands

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The four most helpful commands, as well as their brief description, is shown to you in a banner, every time you start IPython:

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commanddescription
?Introduction and overview of IPython's features.
%quickrefQuick reference.
helpPython's own help system.
object?Details about 'object', use 'object??' for extra details.
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Some imports and settings

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The following code cells make sure that plotting is enabled and also loads a customised matplotlib confirguration file that spices up the inline plots. The custom matplotlib file has been taken from the Bayesian Methods for Hackers Project

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-In [3]: -
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# makes sure inline plotting is enabled
-%pylab --no-import-all inline 
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-Populating the interactive namespace from numpy and matplotlib
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-In [4]: -
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#loads a customer marplotlib configuration file
-def CustomPlot():
-    import json
-    s = json.load( open("static/matplotlibrc.json") )
-    matplotlib.rcParams.update(s)
-    figsize(18, 6) 
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- -
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- -
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Changing the notebook layout

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The code cell below is an example of how you should not be chaning the layout and css of the notebook. From IPython V1.00 it is possible to include custom css by creating IPython profiles. Since this file needs to be distributable I have opted for the hack below as used by the Bayesian Methods for Hackers Team

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-In [3]: -
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from IPython.core.display import HTML
-def css_styling():
-    styles = open("static/custom.css", "r").read()
-    return HTML(styles)
-css_styling()
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- Out[3]:
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Notebook basics

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The IPython Notebook is a web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document.

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  • Code Completion
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  • Help
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  • Docstrings
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  • Markdown cells
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  • Running a Code cell (Shift+Enter)
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  • Setting a cell to be included in the presentation
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Run the contents of a cell

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  • SHIFT+ENTER will run the contents of a cell and move to the next one

    • -

  • CTRL+ENTER run the cell in place and don't move to the next cell. (best for presenting)

    • -

  • CTRL-m h show keyboard shorcuts

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-In [4]: -
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# press shift-enter to run code
-print "Hallo Pycon"
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-Hallo Pycon
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Save the notebook

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CTRL-S will save the notebook

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Lets get some help

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The %quickref commmand can be used to obtain a bit more information

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-In [5]: -
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#IPython -- An enhanced Interactive Python - Quick Reference Card
-%quickref  # now press shift-ender
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Code completion and introspection

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The cell below defines a function with a bit of a long name. By using the ? command the docstring can we viewed. ?? will open up the source code. The autocomplete function is also demostrated, and for fun the function is called and the output displayed

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-In [6]: -
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# lets degine a function with a long name.
-def long_silly_dummy_name(a, b):
-    """
-    This is the docstring for dummy. 
-    It takes two arguments a and b
-    It returns the sum of a and b
-    No error checking is done!
-    """
-    return a+b
-
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-In [7]: -
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# lets get the docstring or some help
-long_silly_dummy_name?
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-In []: -
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long_silly_dummy_name??
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-In []: -
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#press tab to autocplete
-long_si
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-In [8]: -
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# press shift-enter to run
-long_silly_dummy_name(5,6)
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- Out[8]:
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-11
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Setting up the notebook to enable a slideshow view

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You need to activate the Cell Toolbar in the Toolbar above. Here you can set if this cell should be compiled as a slide or not. The options are given below:

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  • slide
    • -
  • sub slide
    • -
  • fragment
    • -
  • skip
    • -
  • notes
    • -
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Using markdown

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You can set the contents type of a cell in the toolbar above. When Markdown is selected you can enter markdown in a cell and it's contents will be rendered as HTML. The markdown syntax can by found here

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This is heading 1

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This is heading 2

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This is heading 5

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Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Complex is better than complicated.

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Notebook magics

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IPython has a set of predefined ‘magic functions’ that you can call with a command line style syntax. There are two kinds of magics, line-oriented and cell-oriented. Line magics are prefixed with the % character and work much like OS command-line calls: they get as an argument the rest of the line, where arguments are passed without parentheses or quotes. Cell magics are prefixed with a double %%, and they are functions that get as an argument not only the rest of the line, but also the lines below it in a separate argument.

-
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Timeit magic

-

The timeit magic can be used to evaluate the average time your loop or piece of code is taking to complete it's run.

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-In [16]: -
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%%timeit
-x = 0   # setup
-for i in range(100000):    #lets use range here
-    x = x + i**2
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- -
-
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-100 loops, best of 3: 12.2 ms per loop
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-In [17]: -
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%%timeit
-x = 0   # setup
-for i in xrange(100000):   #replace range with slightly improved xrange
-    x += i**2
-
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- -
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-
-100 loops, best of 3: 10.7 ms per loop
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Know when the kernel is busy

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Have a look at the top right hand side of the notebook and run the code cell above again. This shows that the kernel is busy running the current cell.

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User input

-

In the snippet below it the raw_input() function is used to read some user input to a variable raw and printed to stdout.

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-
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-In [18]: -
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from IPython.display import HTML
-
-raw = raw_input("enter your input here >>> ")
-
-print "Hallo, ",raw
-
- -
-
- -
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- - -
-
-
-enter your input here >>> World!
-Hallo,  World!
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-In [11]: -
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from IPython.display import FileLink, FileLinks
-FileLinks('.', notebook_display_formatter=True)
-
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- -
-
- - -
- Out[11]:
-
- - -
-./
-  .DS_Store
-  builddocs.ipy
-  calling_r_example.ipynb
-  calling_ruby_example.ipynb
-  pycon13_ipython.ipynb
-  README.md
-./.ipynb_checkpoints/
-  calling_r_example-checkpoint.ipynb
-  calling_ruby_example-checkpoint.ipynb
-  pycon13_ipython-checkpoint.ipynb
-./data/
-  CapeTown_2009_Temperatures.csv
-  READEME.md
-./output/
-  .DS_Store
-  pycon13_ipython.html
-  pycon13_ipython.slides.html
-  pycon13_ipython_complete.pdf
-  pycon13_ipython_pdf.pdf
-./static/
-  .DS_Store
-  custom.css
-  frontpage.docx
-  frontpage.pdf
-  ip.png
-  ip2.png
-  matplotlibrc.json
-  python-vs-java.jpg
-  scistack.png
-
- -
-
- -
-
- -
-
-

Running shell commands

-

I now use ipython as my default shell scripting language. lets put the contents of the current directory into a list. by using the ! before a command indicates that you want to run a system command.

-
-
-
-
-In [20]: -
-
-
filelist = !ls                     #read the current directory into variable
-for x,i in enumerate(filelist):
-    print '#',x, '--->', i
-
- -
-
- -
-
- - -
-
-
-# 0 ---> README.md
-# 1 ---> builddocs.ipy
-# 2 ---> calling_r_example.ipynb
-# 3 ---> calling_ruby_example.ipynb
-# 4 ---> data
-# 5 ---> output
-# 6 ---> pycon13_ipython.ipynb
-# 7 ---> static
-
-
-
-
- -
-
- -
-
-

Embedding Images

-

Image released under CC BY-NC-ND 2.5 IN) by Rhul Singh

-
-
-
-
-In [21]: -
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-
from IPython.display import Image
-Image('static/python-vs-java.jpg')
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- -
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- - -
- Out[21]:
-
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- -
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- -
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Adding YouYube videos

-

I am making the video small as it does not embed into the final output pdf.

-
-
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-In [22]: -
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from IPython.display import YouTubeVideo
-YouTubeVideo('iwVvqwLDsJo', width=200, height=200)
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- Out[22]:
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- -
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Plotting with Matplotlib

-

matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits.

-
-
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-In [23]: -
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-
from matplotlib.pylab import xkcd
-#xkcd()
-CustomPlot()
-from numpy import *
-
-#generate some data
-n = array([0,1,2,3,4,5])
-xx = np.linspace(-0.75, 1., 100)
-x = linspace(0, 5, 10)
-y = x ** 2
-
-fig, axes = plt.subplots(1, 4, figsize=(12,3))
-
-axes[0].scatter(xx, xx + 0.25*randn(len(xx)))
-axes[0].set_title('scatter')
-axes[1].step(n, n**2, lw=2)
-axes[1].set_title('step')
-axes[2].bar(n, n**2, align="center", width=0.5, alpha=0.5)
-axes[2].set_title('bar')
-axes[3].fill_between(x, x**2, x**3, color="green", alpha=0.5);
-axes[3].set_title('fill')
-
-for i in range(4):
-    axes[i].set_xlabel('x')
-axes[0].set_ylabel('y')
-show()
-
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Combined plots

-
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-In [24]: -
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CustomPlot()
-font_size = 20
-figsize(11.5, 6) 
-fig, ax = plt.subplots()
-
-ax.plot(xx, xx**2, xx, xx**3)
-ax.set_title(r"Combined Plot $y=x^2$ vs. $y=x^3$", fontsize = font_size)
-ax.set_xlabel(r'$x$', fontsize = font_size)
-ax.set_ylabel(r'$y$', fontsize = font_size)
-fig.tight_layout()
-# inset
-inset_ax = fig.add_axes([0.29, 0.45, 0.35, 0.35]) # X, Y, width, height
-inset_ax.plot(xx, xx**2, xx, xx**3)
-inset_ax.set_title(r'zoom $x=0$',fontsize=font_size)
-# set axis range
-inset_ax.set_xlim(-.2, .2)
-inset_ax.set_ylim(-.005, .01)
-# set axis tick locations
-inset_ax.set_yticks([0, 0.005, 0.01])
-inset_ax.set_xticks([-0.1,0,.1]);
-show()
-
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Adding text to a plot

-
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-In [25]: -
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CustomPlot()
-figsize(11.5, 6) 
-font_size = 20
-fig, ax = plt.subplots()
-ax.plot(xx, xx**2, xx, xx**3)
-ax.set_xlabel(r'$x$', fontsize = font_size)
-ax.set_ylabel(r'$y$', fontsize = font_size)
-ax.set_title(r"Adding Text $y=x^2$ vs. $y=x^3$", fontsize = font_size)
-ax.text(0.15, 0.2, r"$y=x^2$", fontsize=font_size, color="blue")
-ax.text(0.65, 0.1, r"$y=x^3$", fontsize=font_size, color="green");
-
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-

xkcd style plotting

-

matplolib v1.3 now includes a setting to make plots resemple xkcd styles.

-
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-
-In [26]: -
-
-
from matplotlib import pyplot as plt
-import numpy as np
-
-plt.xkcd()
-
-fig = plt.figure()
-ax = fig.add_subplot(1, 1, 1)
-ax.spines['right'].set_color('none')
-ax.spines['top'].set_color('none')
-plt.xticks([])
-plt.yticks([])
-ax.set_ylim([-30, 10])
-
-data = np.ones(100)
-data[70:] -= np.arange(30)
-
-plt.annotate(
-    'THE DAY I REALIZED\nI COULD COOK BACON\nWHENEVER I WANTED',
-    xy=(70, 1), arrowprops=dict(arrowstyle='->'), xytext=(15, -10))
-
-plt.plot(data)
-
-plt.xlabel('time')
-plt.ylabel('my overall health')
-
-fig = plt.figure()
-ax = fig.add_subplot(1, 1, 1)
-ax.bar([-0.125, 1.0-0.125], [0, 100], 0.25)
-ax.spines['right'].set_color('none')
-ax.spines['top'].set_color('none')
-ax.xaxis.set_ticks_position('bottom')
-ax.set_xticks([0, 1])
-ax.set_xlim([-0.5, 1.5])
-ax.set_ylim([0, 110])
-ax.set_xticklabels(['CONFIRMED BY\nEXPERIMENT', 'REFUTED BY\nEXPERIMENT'])
-plt.yticks([])
-
-plt.title("CLAIMS OF SUPERNATURAL POWERS")
-
-plt.show()
-
- -
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-

Symbolic math using SymPy

-

SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries.

-
-
-
-
-In [27]: -
-
-
from sympy import *
-init_printing(use_latex=True)
-x = Symbol('x')
-y = Symbol('y')
-series(exp(x), x, 1, 5)
-
- -
-
- -
-
- - -
- Out[27]:
-
- - -$$e + e x + \frac{1}{2} e x^{2} + \frac{1}{6} e x^{3} + \frac{1}{24} e x^{4} + \mathcal{O}\left(x^{5}\right)$$ - -
-
- -
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- -
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-In [28]: -
-
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eq = ((x+y)**2 * (x+1))
-eq
-
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- -
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- - -
- Out[28]:
-
- - -$$\left(x + 1\right) \left(x + y\right)^{2}$$ - -
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-In [29]: -
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expand(eq)
-
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- Out[29]:
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- - -$$x^{3} + 2 x^{2} y + x^{2} + x y^{2} + 2 x y + y^{2}$$ - -
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- -
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-In [30]: -
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-
a = 1/x + (x*sin(x) - 1)/x
-a
-
- -
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- -
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- Out[30]:
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- - -$$\frac{x \sin{\left (x \right )} -1}{x} + \frac{1}{x}$$ - -
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-In [31]: -
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simplify(a)
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- Out[31]:
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- - -$$\sin{\left (x \right )}$$ - -
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- -
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- -
-
-

Data analysis using the Pandas library

-

pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational†or “labeled†data both easy and intuitive

-

The two primary data structures of pandas, Series (1-dimensional) and DataFrame (2-dimensional), handle the vast majority of typical use cases in finance, statistics, social science, and many areas of engineering.

-
-

For R users, DataFrame provides everything that R’s data.frame provides and much more. pandas is built on top of NumPy and is intended to integrate well within a scientific computing environment with many other 3rd party libraries.

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-In [32]: -
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from pandas import DataFrame, read_csv
-
-Cape_Weather = DataFrame( read_csv('data/CapeTown_2009_Temperatures.csv' ))
-Cape_Weather.head()
-
- -
-
- -
-
- - -
- Out[32]:
-
- -
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
highlowradiation
0 25 16 29.0
1 23 15 25.7
2 25 15 21.5
3 26 16 15.2
4 26 17 10.8
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- -
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- -
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- -
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-In [33]: -
-
-
CustomPlot()
-figsize(11.5, 6)
-font_size = 20
-title('Cape Town temparature(2009)',fontsize = font_size)
-xlabel('Day number',fontsize = font_size)
-ylabel(r'Temperature [$^\circ C$] ',fontsize = font_size)
-Cape_Weather.high.plot()
-Cape_Weather.low.plot()
-show()
-
- -
-
- -
-
- - -
-
- - - - -
-
- -
-
- -
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-In [34]: -
-
-
CustomPlot()
-figsize(11.5, 6)
-font_size = 20
-title( 'Mean solar radiation(horisontal plane)', fontsize=font_size)
-xlabel('Month Number', fontsize = font_size)
-ylabel(r'$MJ / day / m^2$',fontsize = font_size)
-Cape_Weather.radiation.plot()
-show()
-
- -
-
- -
-
- - -
-
- - - - -
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- -
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- -
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-In [35]: -
-
-
# lets look at a proxy for heating degree and cooling degree days
-level = 25
-print Cape_Weather[ Cape_Weather['high'] > level  ].count()
-print Cape_Weather[ Cape_Weather['high'] <= level ].count()
-
- -
-
- -
-
- - -
-
-
-high         59
-low          59
-radiation     5
-dtype: int64
-high         306
-low          306
-radiation      7
-dtype: int64
-
-
-
-
- -
-
- -
-
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-In [36]: -
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# Basic descriptive statistics
-print Cape_Weather['high'].describe()
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- -
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- -
-
- - -
-
-
-count    365.000000
-mean      21.545205
-std        4.764943
-min       12.000000
-25%       18.000000
-50%       21.000000
-75%       25.000000
-max       36.000000
-dtype: float64
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-In [37]: -
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CustomPlot()
-figsize(11.5, 6)
-font_size = 20
-title('Cape Town temperature distribution', fontsize=font_size)
-ylabel('Day count',fontsize = font_size)
-xlabel(r'Temperature [$^\circ C $] ',fontsize = font_size)
-Cape_Weather['high'].hist(bins=6)
-show()
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Typesetting

-

Latex

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Latex is rendered using the mathjax javascript library

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-In [38]: -
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from IPython.display import Math
-Math(r'F(k) = \int_{-\infty}^{\infty} f(x) e^{2\pi i k} dx')
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- Out[38]:
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- - -$$F(k) = \int_{-\infty}^{\infty} f(x) e^{2\pi i k} dx$$ - -
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-In [39]: -
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from IPython.display import Latex
-Latex(r"""\begin{eqnarray}
-\nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\
-\nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\
-\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\
-\nabla \cdot \vec{\mathbf{B}} & = 0 
-\end{eqnarray}""")
-
- -
-
- -
-
- - -
- Out[39]:
-
- - -\begin{eqnarray} -\nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\ -\nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\ -\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\ -\nabla \cdot \vec{\mathbf{B}} & = 0 -\end{eqnarray} - -
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Using the Python Debugger - pdb

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-In [40]: -
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%pdb on
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-Automatic pdb calling has been turned ON
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foo = 1
-bar = 'a'
-print foo+bar
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----------------------------------------------------------------------------
-TypeError                                 Traceback (most recent call last)
-<ipython-input-41-08464a413a31> in <module>()
-      1 foo = 1
-      2 bar = 'a'
-----> 3 print foo+bar
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-TypeError: unsupported operand type(s) for +: 'int' and 'str'
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- -
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-> <ipython-input-41-08464a413a31>(3)<module>()
-      1 foo = 1
-      2 bar = 'a'
-----> 3 print foo+bar
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-ipdb> q
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Loading Code Snippets

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%load http://pastebin.com/raw.php?i=mGiV1FwY
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CustomPlot()
-font_size = 20
-figsize(11.5, 6)
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-t = arange(0.0, 2.0, 0.01)
-s = sin(2*pi*t)
-plot(t, s)
-
-xlabel(r'time $(s)$', fontsize=font_size)
-ylabel('voltage $(mV)$', fontsize=font_size)
-title('Voltage', fontsize=font_size)
-grid(True)
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It's in a browser, can it do Javascript?

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source

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-In [6]: -
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from IPython.display import HTML
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-input_form = """
-<div style="background-color:gainsboro; border:solid black; width:630px; padding:20px;">
-Variable Name: <input type="text" id="var_name" value="var"><br>
-Variable Value: <input type="text" id="var_value" value="val"><br>
-<button onclick="set_value()">Set Value</button>
-</div>
-"""
-
-javascript = """
-<script type="text/Javascript">
-    function set_value(){
-        var var_name = document.getElementById('var_name').value;
-        var var_value = document.getElementById('var_value').value;
-        var command = var_name + " = '" + var_value + "'";
-        console.log("Executing Command: " + command);
-        
-        var kernel = IPython.notebook.kernel;
-        kernel.execute(command);
-    }
-</script>
-"""
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-HTML(input_form + javascript)
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- Out[6]:
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-Variable Name:
-Variable Value:
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-In [7]: -
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qwerty
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-'foo'
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Saving a Gist

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It is possible to save spesific lines of code to a GitHub gist. This is achieved with the pastebin magic as demonstrated below.

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%pastebin "cell one" 0-10
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-u'https://gist.github.com/6651917'
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Connect to this kernel remotely

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Using the %connect_info magic you can obtain the connection info to connect to this workbook from another ipython console or qtconsole using :

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ipython qtconsole --existing
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%connect_info
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-{
-  "stdin_port": 55291, 
-  "ip": "127.0.0.1", 
-  "control_port": 55292, 
-  "hb_port": 55293, 
-  "signature_scheme": "hmac-sha256", 
-  "key": "dcc990e7-2eeb-4c41-8099-a25cf2308be4", 
-  "shell_port": 55289, 
-  "transport": "tcp", 
-  "iopub_port": 55290
-}
-
-Paste the above JSON into a file, and connect with:
-    $> ipython <app> --existing <file>
-or, if you are local, you can connect with just:
-    $> ipython <app> --existing kernel-5db61520-8ecd-492b-9afb-5c8e65985a19.json 
-or even just:
-    $> ipython <app> --existing 
-if this is the most recent IPython session you have started.
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Publishing your Work

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Newly added in the 1.0 release of IPython is the nbconvert tool, which allows you to convert an .ipynb notebook document file into various static formats.

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Currently, nbconvert is provided as a command line tool, run as a script using IPython. A direct export capability from within the IPython Notebook web app is planned.

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The command-line syntax to run the nbconvert script is: MORE OPTIONS

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ipython nbconvert --to FORMAT notebook.ipynb
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This page is converted and published to the following formats using this tool:

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  • HTML

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  • PDF (the PDF is created using wkhtml2pdf that takes the html file as an input)

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  • LATEX

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  • Reveal.js slideshow

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Building(exporting) from within the notebook

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You can even call the build script from the notebook. The script will convert this page to an html and slide file. It will also compile to PDF and stitch a front page to it. Some of the last text in the building process wont appear as this notebook is being updated as it is being compile. Maybe not the best idea but saved a lot of time...

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-In []: -
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!ipython builddocs.ipy;
-print "Done"
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File links to exported content

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The links below can be used to verify the output from the convertion process. This saved me a lot of time as I could just click below and have a look at the files without exiting the notebook.

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-In [12]: -
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FileLinks('output/')
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- Out[12]:
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-output/
-  .DS_Store
-  pycon13_ipython.html
-  pycon13_ipython.slides.html
-  pycon13_ipython_complete.pdf
-  pycon13_ipython_pdf.pdf
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The following notebooks showcase multiple aspects of IPython, from its basic use to more advanced scenarios. They introduce you to the use of the Notebook and also cover aspects of IPython that are available in other clients, such as the cell magics for multi-language integration or our extended display protocol.

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For beginners, we recommend that you start with the 5-part series that introduces the system, and later read others as the topics interest you.

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Once you are familiar with the notebook system, we encourage you to visit our gallery where you will find many more examples that cover areas from basic Python programming to advanced topics in scientific computing.

- -
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Sources / References

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Since this talk focussed on the life cycle of the analysis to publication many of the code examples were taken from their respective websites. If I have not given credit at any point please let me know and I will make sure that the work is updated

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    -

  1. SciPy

    2. -

  2. Fernando Pérez, Brian E. Granger, IPython: A System for Interactive Scientific Computing, omputing in Science and Engineering, vol. 9, no. 3, pp. 21-29, May/June 2007, doi:10.1109/MCSE.2007.53. URL: http://ipython.org3

    3. -

  3. Hunter, J. D.Matplotlib: A 2D graphics environment

    4. -

  4. Sympy

    5. -

  5. Bayesian Methods for Hackers, the use of the custom css and also the custom matplotlib skin

    6. -

  6. Custom Stylesheets and here

    7. -
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Embedding the final presentation into the notebook!

-

The build script generates a slideshow version of this notebook and saves it in the output directory. You can also use normal HTML in a cell and using the iframe tag the slideshow was embedded to a cell below. Since this document has not been build yet...we are editing it now, the slideshow below is linked to the previous saved version of this notebook. So if we did not make to many changes it should be pretty close to being the same thing.

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- - -
- - diff --git a/src/output/pycon13_ipython.slides.html b/src/output/pycon13_ipython.slides.html deleted file mode 100644 index 3987ce4..0000000 --- a/src/output/pycon13_ipython.slides.html +++ /dev/null @@ -1,12474 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-http://ipython.org/static/IPyheader.png

http://ipython.org/static/IPyheader.png

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IPython in action creating reproducible and publishable interactive work.

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What is this?

-

This repo contains the complete talk I intend to deliver (have delivered) at PyConZA2013. It contains all the files needed to build a final publishable PDF document from an interactive notebook and even adds a custom front page.

-

The Complete Talk GitHub Website can be accessed here

-

Background

-

IPython had become a popular choice for doing interactive scientific work. It extends the standard Python interpreter and adds many useful new futures. There is really no need to use the standard Python interpreter anymore. In addition to this IPython offers a web based Notebook that makes interactive work much easier, and have been used to write repeatable scientific papers and more recently a book has been written using this platform, the online Notebook Viewer and GitHub. The development of this material and tool chain to compile the notebook to a publishable PDF, has inspired me to maybe even try and turn this into a complete (free) book. Let’s see what happens.

-

Combining the most common scientific packages with IPython makes it a formidable tool and serious competition to R. ( R is still awesome! )

-
-http://ipython.org/static/ipy0.13.png

http://ipython.org/static/ipy0.13.png

-
-

As a matter of fact you can run R in the notebook session, embed YouTube Videos, Images and lots more but let me not get ahead of myself....

-

The science stack consists of (but not limited to):

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
packagedescription
pandasdataframe implementation (based on numpy)
scipyefficient numerical routines
sympysymbolic mathematics
matplotlibpython standard plotting package
sci-kit learnmachine learning and well documented!
-

Talk contents

-

The talk will aim to introduce these tools and explore some practical interactive examples. Once completed it will be shown how easy it is to publish your work to various formats. Some of the topics covered in the talk are listed below:

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itemdescription
ipythonquick intro to ipython and the notebook
setupset up your environment / get the talk files
notebook basicsnavigate the notebook
notebook magic’sspecial notebook commands that can be very useful
getting inputas from IPython 1.00 getting input from sdtin is possible
local fileshow to link to local files in the notebook directory
plottinghow to create beautiful inline plots
symbolic mathquick demo of sympy model
pandasquick intro to pandas dataframe
typesettinginclude markdown, Latex via MathJax
loading codehow to load a remote .py code file
gistpaste some of your work to gist for sharing
jssome javascript examples
customisingloading a customer css and custom matplotlib config file
git celladd code to a special cell that would commit to git
output formatshow to publish your work to html, pdf or jeveal.js presentation
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Get the processed presentation files here:

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formatdescription
IPython notebook.ipynb file to run in browser
IPython html notebookconverted to HTML and served online
IPython pdf notebookconverted to PDF for download (to be added, needs pandoc)
IPython pdf bookconverted to pdf and a front-page stitched to it)
Ipython reveal.js presentationconverted to a reveal.js presentation and served online
Online IPython NBveiwerview on the ipython notebook viewer
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Dependencies

-

I was given the challenge to develop all of this on a Windows machine as some of my sponsors want to demonstrate that this stuff can not only be done on GNU/Linux/OSX. So all the tool chains are Windows based. If you know Linux, then you are the type of person that would easily port this. That being said the Windows GitHub client is refreshing. I have also added a MacBook Air to my arsenal and have been porting the toolchain to Mac aswell and it seems to be working fine.

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packagedescription
IPythonTo use NBConvert you need V1.00. If you only want to use the interactive notebook then v0.13 will be ok.
pandocThe document converter used by IPythonr
MikeTexIf you want to do a TEX to PDF transform. I had so many issues with the TEX to PDF conversion by NBConvert, so settled for wkhtmltopdf(below) to convert HTML to PDF rather. (Convert notebook to HTML with NBconvert and then from HTML to PDF with wkhtmltopdf
wkhtmltopdfConvert HTML to PDF (i could only install this on windows)
wkpdfI couldn't get wkhtmltopdf to work on os x so i installed wkpdf for handling the HTML to PDF conversion on my Mac. It's a Ruby Gem install and painless.
pdftkCan be used to combine PDF's. In this case add a frontpage to the generated IPython notebook PDF. Only available for Windows.
ImageMagick | for compressing the PDF. Still experimenting with this.(have not got this working yet so not needed)GhostScriptneeded by ImageMagick(not needed as PDF compression is not functional yet)
anacondainstall anaconda from Continuum Analytics. Almost all the Python packages are included and it has a virtual environment manager via it's console application `conda'
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How to run the Interactive Notebook

-

Navigate to the src directory and run from the command line:

-

python ipython notebook

-

If everything works your browser should open and you can select the notebook and start experimenting!

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PDF, HTML, Slideshow Build Script

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There is a build script in the src directory. It is an IPython file. You can basically build shell scripts this way. To use the power of IPython commands save the file with the .ipy extension and call it with IPython. Even the magic’s work. To build the document use ipython builddocs.ipy You will have to change the paths to the software however. Currently I can use the build script on Windows and on my Mac but it is a bit of a hack.

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Cross Platform Output Rendering

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I have tested the HTML outputs on my Galaxy S3 and S4, IPAD and Nexus7. They render very well. Even the downloaded PDF was easily readable on the NEXUS 7 in landscape mode. In conclusion the produces work is really very well packaged and easily consumed on most platforms. This is not bad, and all done with open source software.

- - -

About the presenter

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  • I am an Electrical Engineer and is currently working for a consulting firm where I manage the Business Analytics and Quantitative Decision Support Services division.
    • -
  • I use python in my day to day work as a practical alternative to the limitations of EXCEL in using large data sets.
    • -
  • LinkedIn
    • -
  • I am also a co-founder at House4Hack
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The IPython notebook

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The IPython notebook is part of the IPython project. The IPython project is one of the packacges making up the python scientific stack called SciPi. SciPy (pronounced “Sigh Pieâ€) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. In particular, these are some of the core packages:

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-SciPy

SciPy

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Quick IPython introdution

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IPython provides a rich architecture for interactive computing with:

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  • Powerful interactive shells (terminal and Qt-based).
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  • A browser-based notebook with support for code, text, mathematical expressions, inline plots and other rich media.
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  • Support for interactive data visualization and use of GUI toolkits.
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  • Flexible, embeddable interpreters to load into your own projects.
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  • Easy to use, high performance tools for parallel computing.
    • -
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The main reasons I have been using it includes:

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  • A superior shell
    • -
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  • the magic functions makes life easier (magics gets called with a %, use %-tab to see them all)
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  • I also use it as a replacement shell for Windows Shell or Terminal
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  • Code Completion
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Some helpfull commands

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The four most helpful commands, as well as their brief description, is shown to you in a banner, every time you start IPython:

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commanddescription
?Introduction and overview of IPython's features.
%quickrefQuick reference.
helpPython's own help system.
object?Details about 'object', use 'object??' for extra details.
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Some imports and settings

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The following code cells make sure that plotting is enabled and also loads a customised matplotlib confirguration file that spices up the inline plots. The custom matplotlib file has been taken from the Bayesian Methods for Hackers Project

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# makes sure inline plotting is enabled
-%pylab --no-import-all inline 
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#loads a customer marplotlib configuration file
-def CustomPlot():
-    import json
-    s = json.load( open("static/matplotlibrc.json") )
-    matplotlib.rcParams.update(s)
-    figsize(18, 6) 
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Changing the notebook layout

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The code cell below is an example of how you should not be chaning the layout and css of the notebook. From IPython V1.00 it is possible to include custom css by creating IPython profiles. Since this file needs to be distributable I have opted for the hack below as used by the Bayesian Methods for Hackers Team

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from IPython.core.display import HTML
-def css_styling():
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-    return HTML(styles)
-css_styling()
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Notebook basics

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The IPython Notebook is a web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document.

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  • Code Completion
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  • Help
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  • Docstrings
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  • Markdown cells
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  • Running a Code cell (Shift+Enter)
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  • Setting a cell to be included in the presentation
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Run the contents of a cell

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  • SHIFT+ENTER will run the contents of a cell and move to the next one

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  • CTRL+ENTER run the cell in place and don't move to the next cell. (best for presenting)

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  • CTRL-m h show keyboard shorcuts

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# press shift-enter to run code
-print "Hallo Pycon"
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Save the notebook

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CTRL-S will save the notebook

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Lets get some help

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The %quickref commmand can be used to obtain a bit more information

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#IPython -- An enhanced Interactive Python - Quick Reference Card
-%quickref  # now press shift-ender
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Code completion and introspection

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The cell below defines a function with a bit of a long name. By using the ? command the docstring can we viewed. ?? will open up the source code. The autocomplete function is also demostrated, and for fun the function is called and the output displayed

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# lets degine a function with a long name.
-def long_silly_dummy_name(a, b):
-    """
-    This is the docstring for dummy. 
-    It takes two arguments a and b
-    It returns the sum of a and b
-    No error checking is done!
-    """
-    return a+b
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# lets get the docstring or some help
-long_silly_dummy_name?
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long_silly_dummy_name??
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#press tab to autocplete
-long_si
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# press shift-enter to run
-long_silly_dummy_name(5,6)
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Setting up the notebook to enable a slideshow view

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You need to activate the Cell Toolbar in the Toolbar above. Here you can set if this cell should be compiled as a slide or not. The options are given below:

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  • notes
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Using markdown

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You can set the contents type of a cell in the toolbar above. When Markdown is selected you can enter markdown in a cell and it's contents will be rendered as HTML. The markdown syntax can by found here

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This is heading 1

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This is heading 2

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This is heading 5

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Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Complex is better than complicated.

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Notebook magics

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IPython has a set of predefined ‘magic functions’ that you can call with a command line style syntax. There are two kinds of magics, line-oriented and cell-oriented. Line magics are prefixed with the % character and work much like OS command-line calls: they get as an argument the rest of the line, where arguments are passed without parentheses or quotes. Cell magics are prefixed with a double %%, and they are functions that get as an argument not only the rest of the line, but also the lines below it in a separate argument.

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Timeit magic

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The timeit magic can be used to evaluate the average time your loop or piece of code is taking to complete it's run.

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-In [16]: -
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%%timeit
-x = 0   # setup
-for i in range(100000):    #lets use range here
-    x = x + i**2
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-100 loops, best of 3: 12.2 ms per loop
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-In [17]: -
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%%timeit
-x = 0   # setup
-for i in xrange(100000):   #replace range with slightly improved xrange
-    x += i**2
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-100 loops, best of 3: 10.7 ms per loop
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Know when the kernel is busy

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Have a look at the top right hand side of the notebook and run the code cell above again. This shows that the kernel is busy running the current cell.

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User input

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In the snippet below it the raw_input() function is used to read some user input to a variable raw and printed to stdout.

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-In [18]: -
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from IPython.display import HTML
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-raw = raw_input("enter your input here >>> ")
-
-print "Hallo, ",raw
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-enter your input here >>> World!
-Hallo,  World!
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from IPython.display import FileLink, FileLinks
-FileLinks('.', notebook_display_formatter=True)
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- Out[11]:
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- - -
-./
-  .DS_Store
-  builddocs.ipy
-  calling_r_example.ipynb
-  calling_ruby_example.ipynb
-  pycon13_ipython.ipynb
-  README.md
-./.ipynb_checkpoints/
-  calling_r_example-checkpoint.ipynb
-  calling_ruby_example-checkpoint.ipynb
-  pycon13_ipython-checkpoint.ipynb
-./data/
-  CapeTown_2009_Temperatures.csv
-  READEME.md
-./output/
-  .DS_Store
-  pycon13_ipython.html
-  pycon13_ipython.slides.html
-  pycon13_ipython_complete.pdf
-  pycon13_ipython_pdf.pdf
-./static/
-  .DS_Store
-  custom.css
-  frontpage.docx
-  frontpage.pdf
-  ip.png
-  ip2.png
-  matplotlibrc.json
-  python-vs-java.jpg
-  scistack.png
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Running shell commands

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I now use ipython as my default shell scripting language. lets put the contents of the current directory into a list. by using the ! before a command indicates that you want to run a system command.

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-In [20]: -
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filelist = !ls                     #read the current directory into variable
-for x,i in enumerate(filelist):
-    print '#',x, '--->', i
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-# 0 ---> README.md
-# 1 ---> builddocs.ipy
-# 2 ---> calling_r_example.ipynb
-# 3 ---> calling_ruby_example.ipynb
-# 4 ---> data
-# 5 ---> output
-# 6 ---> pycon13_ipython.ipynb
-# 7 ---> static
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Embedding Images

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Image released under CC BY-NC-ND 2.5 IN) by Rhul Singh

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from IPython.display import Image
-Image('static/python-vs-java.jpg')
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Adding YouYube videos

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I am making the video small as it does not embed into the final output pdf.

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from IPython.display import YouTubeVideo
-YouTubeVideo('iwVvqwLDsJo', width=200, height=200)
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Plotting with Matplotlib

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matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits.

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-In [23]: -
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from matplotlib.pylab import xkcd
-#xkcd()
-CustomPlot()
-from numpy import *
-
-#generate some data
-n = array([0,1,2,3,4,5])
-xx = np.linspace(-0.75, 1., 100)
-x = linspace(0, 5, 10)
-y = x ** 2
-
-fig, axes = plt.subplots(1, 4, figsize=(12,3))
-
-axes[0].scatter(xx, xx + 0.25*randn(len(xx)))
-axes[0].set_title('scatter')
-axes[1].step(n, n**2, lw=2)
-axes[1].set_title('step')
-axes[2].bar(n, n**2, align="center", width=0.5, alpha=0.5)
-axes[2].set_title('bar')
-axes[3].fill_between(x, x**2, x**3, color="green", alpha=0.5);
-axes[3].set_title('fill')
-
-for i in range(4):
-    axes[i].set_xlabel('x')
-axes[0].set_ylabel('y')
-show()
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Combined plots

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-In [24]: -
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CustomPlot()
-font_size = 20
-figsize(11.5, 6) 
-fig, ax = plt.subplots()
-
-ax.plot(xx, xx**2, xx, xx**3)
-ax.set_title(r"Combined Plot $y=x^2$ vs. $y=x^3$", fontsize = font_size)
-ax.set_xlabel(r'$x$', fontsize = font_size)
-ax.set_ylabel(r'$y$', fontsize = font_size)
-fig.tight_layout()
-# inset
-inset_ax = fig.add_axes([0.29, 0.45, 0.35, 0.35]) # X, Y, width, height
-inset_ax.plot(xx, xx**2, xx, xx**3)
-inset_ax.set_title(r'zoom $x=0$',fontsize=font_size)
-# set axis range
-inset_ax.set_xlim(-.2, .2)
-inset_ax.set_ylim(-.005, .01)
-# set axis tick locations
-inset_ax.set_yticks([0, 0.005, 0.01])
-inset_ax.set_xticks([-0.1,0,.1]);
-show()
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Adding text to a plot

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-In [25]: -
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CustomPlot()
-figsize(11.5, 6) 
-font_size = 20
-fig, ax = plt.subplots()
-ax.plot(xx, xx**2, xx, xx**3)
-ax.set_xlabel(r'$x$', fontsize = font_size)
-ax.set_ylabel(r'$y$', fontsize = font_size)
-ax.set_title(r"Adding Text $y=x^2$ vs. $y=x^3$", fontsize = font_size)
-ax.text(0.15, 0.2, r"$y=x^2$", fontsize=font_size, color="blue")
-ax.text(0.65, 0.1, r"$y=x^3$", fontsize=font_size, color="green");
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xkcd style plotting

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matplolib v1.3 now includes a setting to make plots resemple xkcd styles.

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-In [26]: -
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from matplotlib import pyplot as plt
-import numpy as np
-
-plt.xkcd()
-
-fig = plt.figure()
-ax = fig.add_subplot(1, 1, 1)
-ax.spines['right'].set_color('none')
-ax.spines['top'].set_color('none')
-plt.xticks([])
-plt.yticks([])
-ax.set_ylim([-30, 10])
-
-data = np.ones(100)
-data[70:] -= np.arange(30)
-
-plt.annotate(
-    'THE DAY I REALIZED\nI COULD COOK BACON\nWHENEVER I WANTED',
-    xy=(70, 1), arrowprops=dict(arrowstyle='->'), xytext=(15, -10))
-
-plt.plot(data)
-
-plt.xlabel('time')
-plt.ylabel('my overall health')
-
-fig = plt.figure()
-ax = fig.add_subplot(1, 1, 1)
-ax.bar([-0.125, 1.0-0.125], [0, 100], 0.25)
-ax.spines['right'].set_color('none')
-ax.spines['top'].set_color('none')
-ax.xaxis.set_ticks_position('bottom')
-ax.set_xticks([0, 1])
-ax.set_xlim([-0.5, 1.5])
-ax.set_ylim([0, 110])
-ax.set_xticklabels(['CONFIRMED BY\nEXPERIMENT', 'REFUTED BY\nEXPERIMENT'])
-plt.yticks([])
-
-plt.title("CLAIMS OF SUPERNATURAL POWERS")
-
-plt.show()
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Symbolic math using SymPy

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SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries.

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-In [27]: -
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from sympy import *
-init_printing(use_latex=True)
-x = Symbol('x')
-y = Symbol('y')
-series(exp(x), x, 1, 5)
-
- -
-
- -
-
- - -
- Out[27]:
-
- - -$$e + e x + \frac{1}{2} e x^{2} + \frac{1}{6} e x^{3} + \frac{1}{24} e x^{4} + \mathcal{O}\left(x^{5}\right)$$ - -
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-In [28]: -
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eq = ((x+y)**2 * (x+1))
-eq
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- Out[28]:
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- - -$$\left(x + 1\right) \left(x + y\right)^{2}$$ - -
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-In [29]: -
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expand(eq)
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- Out[29]:
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- - -$$x^{3} + 2 x^{2} y + x^{2} + x y^{2} + 2 x y + y^{2}$$ - -
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-In [30]: -
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a = 1/x + (x*sin(x) - 1)/x
-a
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- Out[30]:
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- - -$$\frac{x \sin{\left (x \right )} -1}{x} + \frac{1}{x}$$ - -
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-In [31]: -
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simplify(a)
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- Out[31]:
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- - -$$\sin{\left (x \right )}$$ - -
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Data analysis using the Pandas library

-

pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational†or “labeled†data both easy and intuitive

-

The two primary data structures of pandas, Series (1-dimensional) and DataFrame (2-dimensional), handle the vast majority of typical use cases in finance, statistics, social science, and many areas of engineering.

-
-

For R users, DataFrame provides everything that R’s data.frame provides and much more. pandas is built on top of NumPy and is intended to integrate well within a scientific computing environment with many other 3rd party libraries.

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-In [32]: -
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from pandas import DataFrame, read_csv
-
-Cape_Weather = DataFrame( read_csv('data/CapeTown_2009_Temperatures.csv' ))
-Cape_Weather.head()
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- Out[32]:
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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
highlowradiation
0 25 16 29.0
1 23 15 25.7
2 25 15 21.5
3 26 16 15.2
4 26 17 10.8
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-In [33]: -
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CustomPlot()
-figsize(11.5, 6)
-font_size = 20
-title('Cape Town temparature(2009)',fontsize = font_size)
-xlabel('Day number',fontsize = font_size)
-ylabel(r'Temperature [$^\circ C$] ',fontsize = font_size)
-Cape_Weather.high.plot()
-Cape_Weather.low.plot()
-show()
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-In [34]: -
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CustomPlot()
-figsize(11.5, 6)
-font_size = 20
-title( 'Mean solar radiation(horisontal plane)', fontsize=font_size)
-xlabel('Month Number', fontsize = font_size)
-ylabel(r'$MJ / day / m^2$',fontsize = font_size)
-Cape_Weather.radiation.plot()
-show()
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-In [35]: -
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# lets look at a proxy for heating degree and cooling degree days
-level = 25
-print Cape_Weather[ Cape_Weather['high'] > level  ].count()
-print Cape_Weather[ Cape_Weather['high'] <= level ].count()
-
- -
-
- -
-
- - -
-
-
-high         59
-low          59
-radiation     5
-dtype: int64
-high         306
-low          306
-radiation      7
-dtype: int64
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-In [36]: -
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# Basic descriptive statistics
-print Cape_Weather['high'].describe()
-
- -
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- -
-
- - -
-
-
-count    365.000000
-mean      21.545205
-std        4.764943
-min       12.000000
-25%       18.000000
-50%       21.000000
-75%       25.000000
-max       36.000000
-dtype: float64
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-In [37]: -
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CustomPlot()
-figsize(11.5, 6)
-font_size = 20
-title('Cape Town temperature distribution', fontsize=font_size)
-ylabel('Day count',fontsize = font_size)
-xlabel(r'Temperature [$^\circ C $] ',fontsize = font_size)
-Cape_Weather['high'].hist(bins=6)
-show()
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Typesetting

-

Latex

-

Latex is rendered using the mathjax javascript library

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-In [38]: -
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from IPython.display import Math
-Math(r'F(k) = \int_{-\infty}^{\infty} f(x) e^{2\pi i k} dx')
-
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- Out[38]:
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- - -$$F(k) = \int_{-\infty}^{\infty} f(x) e^{2\pi i k} dx$$ - -
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-In [39]: -
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from IPython.display import Latex
-Latex(r"""\begin{eqnarray}
-\nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\
-\nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\
-\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\
-\nabla \cdot \vec{\mathbf{B}} & = 0 
-\end{eqnarray}""")
-
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-
- -
-
- - -
- Out[39]:
-
- - -\begin{eqnarray} -\nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\ -\nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\ -\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\ -\nabla \cdot \vec{\mathbf{B}} & = 0 -\end{eqnarray} - -
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Using the Python Debugger - pdb

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-In [40]: -
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%pdb on
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-Automatic pdb calling has been turned ON
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foo = 1
-bar = 'a'
-print foo+bar
-
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----------------------------------------------------------------------------
-TypeError                                 Traceback (most recent call last)
-<ipython-input-41-08464a413a31> in <module>()
-      1 foo = 1
-      2 bar = 'a'
-----> 3 print foo+bar
-
-TypeError: unsupported operand type(s) for +: 'int' and 'str'
-
-
- -
-
-
-> <ipython-input-41-08464a413a31>(3)<module>()
-      1 foo = 1
-      2 bar = 'a'
-----> 3 print foo+bar
-
-ipdb> q
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Loading Code Snippets

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-In [1]: -
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%load http://pastebin.com/raw.php?i=mGiV1FwY
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-In [5]: -
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CustomPlot()
-font_size = 20
-figsize(11.5, 6)
-
-t = arange(0.0, 2.0, 0.01)
-s = sin(2*pi*t)
-plot(t, s)
-
-xlabel(r'time $(s)$', fontsize=font_size)
-ylabel('voltage $(mV)$', fontsize=font_size)
-title('Voltage', fontsize=font_size)
-grid(True)
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It's in a browser, can it do Javascript?

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source

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-In [6]: -
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from IPython.display import HTML
-
-input_form = """
-<div style="background-color:gainsboro; border:solid black; width:630px; padding:20px;">
-Variable Name: <input type="text" id="var_name" value="var"><br>
-Variable Value: <input type="text" id="var_value" value="val"><br>
-<button onclick="set_value()">Set Value</button>
-</div>
-"""
-
-javascript = """
-<script type="text/Javascript">
-    function set_value(){
-        var var_name = document.getElementById('var_name').value;
-        var var_value = document.getElementById('var_value').value;
-        var command = var_name + " = '" + var_value + "'";
-        console.log("Executing Command: " + command);
-        
-        var kernel = IPython.notebook.kernel;
-        kernel.execute(command);
-    }
-</script>
-"""
-
-
-HTML(input_form + javascript)
-
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- Out[6]:
-
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- -
-Variable Name:
-Variable Value:
- -
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-In [7]: -
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qwerty
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- Out[7]:
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-'foo'
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Saving a Gist

-

It is possible to save spesific lines of code to a GitHub gist. This is achieved with the pastebin magic as demonstrated below.

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-In [8]: -
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%pastebin "cell one" 0-10
-
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- Out[8]:
-
- - -
-u'https://gist.github.com/6651917'
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Connect to this kernel remotely

-

Using the %connect_info magic you can obtain the connection info to connect to this workbook from another ipython console or qtconsole using :

-
ipython qtconsole --existing
-
- -
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-In [9]: -
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%connect_info
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- -
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-{
-  "stdin_port": 55291, 
-  "ip": "127.0.0.1", 
-  "control_port": 55292, 
-  "hb_port": 55293, 
-  "signature_scheme": "hmac-sha256", 
-  "key": "dcc990e7-2eeb-4c41-8099-a25cf2308be4", 
-  "shell_port": 55289, 
-  "transport": "tcp", 
-  "iopub_port": 55290
-}
-
-Paste the above JSON into a file, and connect with:
-    $> ipython <app> --existing <file>
-or, if you are local, you can connect with just:
-    $> ipython <app> --existing kernel-5db61520-8ecd-492b-9afb-5c8e65985a19.json 
-or even just:
-    $> ipython <app> --existing 
-if this is the most recent IPython session you have started.
-
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Publishing your Work

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Newly added in the 1.0 release of IPython is the nbconvert tool, which allows you to convert an .ipynb notebook document file into various static formats.

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Currently, nbconvert is provided as a command line tool, run as a script using IPython. A direct export capability from within the IPython Notebook web app is planned.

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The command-line syntax to run the nbconvert script is: MORE OPTIONS

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ipython nbconvert --to FORMAT notebook.ipynb
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This page is converted and published to the following formats using this tool:

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  • HTML

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  • PDF (the PDF is created using wkhtml2pdf that takes the html file as an input)

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  • LATEX

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  • Reveal.js slideshow

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Building(exporting) from within the notebook

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You can even call the build script from the notebook. The script will convert this page to an html and slide file. It will also compile to PDF and stitch a front page to it. Some of the last text in the building process wont appear as this notebook is being updated as it is being compile. Maybe not the best idea but saved a lot of time...

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!ipython builddocs.ipy;
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File links to exported content

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The links below can be used to verify the output from the convertion process. This saved me a lot of time as I could just click below and have a look at the files without exiting the notebook.

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-  pycon13_ipython.html
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-  pycon13_ipython_complete.pdf
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The following notebooks showcase multiple aspects of IPython, from its basic use to more advanced scenarios. They introduce you to the use of the Notebook and also cover aspects of IPython that are available in other clients, such as the cell magics for multi-language integration or our extended display protocol.

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For beginners, we recommend that you start with the 5-part series that introduces the system, and later read others as the topics interest you.

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Once you are familiar with the notebook system, we encourage you to visit our gallery where you will find many more examples that cover areas from basic Python programming to advanced topics in scientific computing.

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Sources / References

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Since this talk focussed on the life cycle of the analysis to publication many of the code examples were taken from their respective websites. If I have not given credit at any point please let me know and I will make sure that the work is updated

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  1. SciPy

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  2. Fernando Pérez, Brian E. Granger, IPython: A System for Interactive Scientific Computing, omputing in Science and Engineering, vol. 9, no. 3, pp. 21-29, May/June 2007, doi:10.1109/MCSE.2007.53. URL: http://ipython.org3

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  3. Hunter, J. D.Matplotlib: A 2D graphics environment

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  4. Sympy

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  5. Bayesian Methods for Hackers, the use of the custom css and also the custom matplotlib skin

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  6. Custom Stylesheets and here

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Embedding the final presentation into the notebook!

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The build script generates a slideshow version of this notebook and saves it in the output directory. You can also use normal HTML in a cell and using the iframe tag the slideshow was embedded to a cell below. Since this document has not been build yet...we are editing it now, the slideshow below is linked to the previous saved version of this notebook. So if we did not make to many changes it should be pretty close to being the same thing.

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- - - - - - - - - - - - - - - - - - - - - - diff --git a/src/output/pycon13_ipython_complete.pdf b/src/output/pycon13_ipython_complete.pdf deleted file mode 100644 index 8c01a52..0000000 Binary files a/src/output/pycon13_ipython_complete.pdf and /dev/null differ diff --git a/src/output/pycon13_ipython_pdf.pdf b/src/output/pycon13_ipython_pdf.pdf deleted file mode 100644 index bb323f9..0000000 Binary files a/src/output/pycon13_ipython_pdf.pdf and /dev/null differ diff --git a/src/pycon13_ipython.ipynb b/src/pycon13_ipython.ipynb deleted file mode 100644 index 16f00a6..0000000 --- a/src/pycon13_ipython.ipynb +++ /dev/null @@ -1,2249 +0,0 @@ -{ - "metadata": { - "name": "" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "skip" - } - }, - "source": [ - "![http://ipython.org/_static/IPy_header.png](http://ipython.org/_static/IPy_header.png)\n", - "\n", - "[IPython](http://ipython.org/) in action creating reproducible and publishable interactive work.\n", - "\n", - "What is this?\n", - "------\n", - "\n", - "This `repo` contains the complete [talk](http://za.pycon.org/talks/10/) I intend to deliver (have delivered) at [PyConZA2013](http://za.pycon.org/). It contains all the files needed to build a final publishable PDF document from an interactive notebook and even adds a custom front page.\n", - "\n", - "[The Complete Talk GitHub Website can be accessed here][6]\n", - "\n", - "Background\n", - "-------------\n", - "IPython had become a popular choice for doing interactive scientific work. It extends the standard Python interpreter and adds many useful new futures. There is really no need to use the standard Python interpreter anymore.\n", - "In addition to this IPython offers a web based Notebook that makes interactive work much easier, and have been used to write repeatable scientific papers and more recently a book has been written using this platform, the online Notebook Viewer and GitHub. The development of this material and tool chain to compile the notebook to a publishable PDF, has inspired me to maybe even try and turn this into a complete (free) book. Let\u2019s see what happens.\n", - "\n", - "Combining the most common scientific packages with IPython makes it a formidable tool and serious competition to R. ( _R is still awesome!_ )\n", - "\n", - "![http://ipython.org/_static/ipy_0.13.png](http://ipython.org/_static/ipy_0.13.png)\n", - "\n", - "As a matter of fact you can run R in the notebook session, embed YouTube Videos, Images and lots more but let me not get ahead of myself....\n", - "\n", - "The science stack consists of (but not limited to):\n", - "\n", - "package | description\n", - "--- | ---\n", - "[pandas][1] | `dataframe` implementation (based on numpy)\n", - "[scipy][2] | efficient numerical routines\n", - "[sympy][3] | `symbolic mathematics`\n", - "[matplotlib][4] | python standard `plotting` package\n", - "[sci-kit learn][5] | machine learning and `well documented!`\n", - "\n", - "Talk contents\n", - "--------\n", - "The talk will aim to introduce these tools and explore some practical interactive examples. Once completed it will be shown how easy it is to publish your work to various formats. Some of the topics covered in the talk are listed below:\n", - "\n", - "item | description\n", - "---- | -------\n", - "ipython | quick intro to ipython and the notebook\n", - "setup | set up your environment / get the talk files\n", - "notebook basics | navigate the notebook\n", - "notebook magic\u2019s | special notebook commands that can be very useful\n", - "getting input | as from IPython 1.00 getting input from sdtin is possible\n", - "local files | how to link to local files in the notebook directory\n", - "plotting\t| how to create beautiful inline plots\n", - "symbolic math | quick demo of sympy model\n", - "pandas | quick intro to pandas dataframe\n", - "typesetting | include markdown, Latex via MathJax\n", - "loading code | how to load a remote .py code file\n", - "gist | paste some of your work to gist for sharing\n", - "js\t\t| some javascript examples\n", - "customising | loading a customer css and custom matplotlib config file\n", - "git cell | add code to a special cell that would commit to git\n", - "output formats | how to publish your work to html, pdf or jeveal.js presentation\n", - "\n", - "\n", - "Get the processed presentation files here:\n", - "------\n", - "format | description\n", - "------- | ------------\n", - "[IPython notebook](https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/pycon13_ipython.ipynb) | .ipynb file to run in browser\n", - "[IPython html notebook](http://htmlpreview.github.io/?https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/output/pycon13_ipython.html) | converted to HTML and served online\n", - "[IPython pdf notebook](https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/output/pycon13_ipython_pdf.pdf?raw=true) | converted to PDF for download (to be added, needs pandoc)\n", - "[IPython pdf book](https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/output/pycon13_ipython_complete.pdf?raw=true) | converted to pdf and a front-page stitched to it)\n", - "[Ipython reveal.js presentation](http://htmlpreview.github.io/?https://github.com/Tooblippe/zapycon2013_ipython_science/blob/master/src/output/pycon13_ipython.slides.html#/) | converted to a reveal.js presentation and served online\n", - "[Online IPython NBveiwer](http://nbviewer.ipython.org/urls/raw.github.com/Tooblippe/zapycon2013_ipython_science/master/src/pycon13_ipython.ipynb) | view on the ipython notebook viewer\n", - "\n", - "\n", - "Dependencies\n", - "-------------\n", - "I was given the challenge to develop all of this on a Windows machine as some of my sponsors want to demonstrate that this stuff can not only be done on GNU/Linux/OSX. So all the tool chains are Windows based. If you know Linux, then you are the type of person that would easily port this. That being said the Windows GitHub client is refreshing. I have also added a MacBook Air to my arsenal and have been porting the toolchain to Mac aswell and it seems to be working fine. \n", - "\n", - "package | description\n", - "-------- | ------------\n", - "IPython | To use NBConvert you need V1.00. If you only want to use the interactive notebook then v0.13 will be ok.\n", - "pandoc \t | The document converter used by IPythonr\n", - "MikeTex | If you want to do a TEX to PDF transform. I had so many issues with the TEX to PDF conversion by NBConvert, so settled for wkhtmltopdf(below) to convert HTML to PDF rather. (Convert notebook to HTML with NBconvert and then from HTML to PDF with wkhtmltopdf\n", - "wkhtmltopdf | Convert HTML to PDF (i could only install this on windows)\n", - "wkpdf\t\t| I couldn't get wkhtmltopdf to work on os x so i installed wkpdf for handling the HTML to PDF conversion on my Mac. It's a Ruby Gem install and painless.\n", - "pdftk | Can be used to combine PDF's. In this case add a frontpage to the generated IPython notebook PDF. Only available for Windows.\n", - "*ImageMagick | for compressing the PDF. Still experimenting with this.(have not got this working yet so not needed)\n", - "*GhostScript | needed by ImageMagick(not needed as PDF compression is not functional yet)\n", - "anaconda | install anaconda from Continuum Analytics. Almost all the Python packages are included and it has a virtual environment manager via it's console application `conda'\n", - "\n", - " \n", - "How to run the Interactive Notebook\n", - "--------\n", - "Navigate to the `src` directory and run from the command line:\n", - "\n", - " ```python\n", - " ipython notebook\n", - "```\n", - "\n", - "If everything works your browser should open and you can select the `notebook` and start experimenting!\n", - " \n", - "PDF, HTML, Slideshow Build Script\n", - "------------\n", - "There is a build script in the `src` directory. It is an IPython file. You can basically build shell scripts this way. To use the power of IPython commands save the file with the `.ipy` extension and call it with IPython. Even the magic\u2019s work. To build the document use `ipython builddocs.ipy` You will have to change the paths to the software however. Currently I can use the build script on Windows and on my Mac but it is a bit of a hack.\n", - "\n", - "Cross Platform Output Rendering\n", - "--------\n", - "I have tested the HTML outputs on my Galaxy S3 and S4, IPAD and Nexus7. They render very well. Even the downloaded PDF was easily readable on the NEXUS 7 in landscape mode. In conclusion the produces work is really very well packaged and easily consumed on most platforms. This is not bad, and all done with open source software.\n", - "\n", - "Some interesting links\n", - "-----------------------\n", - "* [A book written with IPython Notebook][7]\n", - "* [Notebook Viewer][8]\n", - "* [Anaconda - Installing almost everything you need][9]\n", - "\n", - "\n", - "About the presenter\n", - "----------\n", - "* I am an Electrical Engineer and is currently working for a [consulting firm][10] where I manage the Business Analytics and Quantitative Decision Support Services division.\n", - "* I use python in my day to day work as a practical alternative to the limitations of EXCEL in using large data sets.\n", - "* [LinkedIn][11]\n", - "* I am also a co-founder at [House4Hack][12]\n", - "\n", - "\n", - "\n", - " [1]: http://pandas.pydata.org/\n", - " [2]: http://www.scipy.org/\n", - " [3]: http://sympy.org/en/index.html\n", - " [4]: http://matplotlib.org/\n", - " [5]: http://scikit-learn.org/\n", - " [6]: http://tooblippe.github.io/zapycon2013_ipython_science\n", - " [7]: http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/\n", - " [8]: http://nbviewer.ipython.org/\n", - " [9]: http://www.continuum.io/downloads\n", - " [10]: http://www.eon.co.za/index.php/our-services-main/our-services/business-analytics\n", - " [11]: http://www.linkedin.com/in/tobienortje\n", - " [12]: http://www.house4hack.co.za/\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "# The IPython notebook\n", - "\n", - "The IPython notebook is part of the IPython project. The IPython project is one of the packacges making up the python scientific stack called SciPi.\n", - "SciPy (pronounced \u201cSigh Pie\u201d) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. In particular, these are some of the core packages:\n", - "\n", - "![SciPy](https://raw.github.com/Tooblippe/zapycon2013_ipython_science/master/src/static/scistack.png)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Quick IPython introdution\n", - "\n", - "IPython provides a rich architecture for interactive computing with:\n", - "\n", - "* Powerful `interactive shells` (terminal and Qt-based).\n", - "* A `browser-based notebook` with support for code, text, mathematical expressions, inline plots and other rich media.\n", - "* Support for `interactive data visualization` and use of GUI toolkits.\n", - "* Flexible, embeddable interpreters to load into your own projects.\n", - "* Easy to use, high performance tools for parallel computing.\n", - "\n", - "The main reasons I have been using it includes:\n", - "\n", - "* A `superior` shell\n", - "* Plotting is possible in the QT console or the Notebook\n", - "* the `magic` functions makes life easier (magics gets called with a %, use %-tab to see them all)\n", - "* I also use it as a `replacement shell` for Windows Shell or Terminal\n", - "* `Code Completion`\n", - "* `GNU Readline` based editing and command history" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Some helpfull commands\n", - "\n", - "The four most helpful commands, as well as their brief description, is shown\n", - "to you in a banner, every time you start IPython:\n", - "\n", - "\n", - "`command` | `description`\n", - "------------|----------- \n", - "? | Introduction and overview of IPython's features.\n", - "%quickref | Quick reference.\n", - "help | Python's own help system.\n", - "object? | Details about 'object', use 'object??' for extra details.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Some imports and settings\n", - "The following code cells make sure that plotting is enabled and also loads a customised matplotlib confirguration file that spices up the inline plots. The custom matplotlib file has been taken from the [Bayesian Methods for Hackers Project](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter1_Introduction/Chapter1_Introduction.ipynb)" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# makes sure inline plotting is enabled\n", - "%pylab --no-import-all inline " - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "Populating the interactive namespace from numpy and matplotlib\n" - ] - } - ], - "prompt_number": 3 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "#loads a customer marplotlib configuration file\n", - "def CustomPlot():\n", - " import json\n", - " s = json.load( open(\"static/matplotlibrc.json\") )\n", - " matplotlib.rcParams.update(s)\n", - " figsize(18, 6) " - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [], - "prompt_number": 4 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Changing the notebook layout\n", - "The code cell below is an example of how you should not be chaning the layout and css of the notebook. From IPython V1.00 it is possible to include custom css by creating IPython profiles. Since this file needs to be distributable I have opted for the hack below as used by the `Bayesian Methods for Hackers Team`" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.core.display import HTML\n", - "def css_styling():\n", - " styles = open(\"static/custom.css\", \"r\").read()\n", - " return HTML(styles)\n", - "css_styling()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "html": [ - "\n", - "\n", - "" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 3, - "text": [ - "" - ] - } - ], - "prompt_number": 3 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Notebook basics\n", - "The IPython Notebook is a web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document.\n", - "\n", - "* Code Completion\n", - "* Help\n", - "* Docstrings\n", - "* Markdown cells\n", - "* Running a Code cell (Shift+Enter)\n", - "* Setting a cell to be included in the presentation" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Run the contents of a cell\n", - "\n", - "* SHIFT+ENTER will run the contents of a cell and move to the next one\n", - "\n", - "* CTRL+ENTER run the cell in place and don't move to the next cell. (best for presenting)\n", - "\n", - "* CTRL-m h show keyboard shorcuts" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# press shift-enter to run code\n", - "print \"Hallo Pycon\"" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "Hallo Pycon\n" - ] - } - ], - "prompt_number": 4 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Save the notebook\n", - "CTRL-S will save the notebook" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Lets get some help\n", - "The `%quickref` commmand can be used to obtain a bit more information" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "#IPython -- An enhanced Interactive Python - Quick Reference Card\n", - "%quickref # now press shift-ender" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [], - "prompt_number": 5 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Code completion and introspection\n", - "The cell below defines a function with a bit of a long name. By using the `?` command the docstring can we viewed. `??` will open up the source code. The autocomplete function is also demostrated, and for fun the function is called and the output displayed" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# lets degine a function with a long name.\n", - "def long_silly_dummy_name(a, b):\n", - " \"\"\"\n", - " This is the docstring for dummy. \n", - " It takes two arguments a and b\n", - " It returns the sum of a and b\n", - " No error checking is done!\n", - " \"\"\"\n", - " return a+b" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [], - "prompt_number": 6 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# lets get the docstring or some help\n", - "long_silly_dummy_name?" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [], - "prompt_number": 7 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "long_silly_dummy_name??" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": true, - "input": [ - "#press tab to autocplete\n", - "long_si" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# press shift-enter to run\n", - "long_silly_dummy_name(5,6)" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 8, - "text": [ - "11" - ] - } - ], - "prompt_number": 8 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Setting up the notebook to enable a slideshow view\n", - "\n", - "You need to activate the Cell Toolbar in the Toolbar above. Here you can set if this cell should be compiled as a slide or not. The options are given below:\n", - "\n", - "* slide\n", - "* sub slide\n", - "* fragment\n", - "* skip\n", - "* notes" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Using markdown\n", - "You can set the contents type of a cell in the toolbar above. When Markdown is selected you can enter markdown in a cell and it's contents will be rendered as HTML. The markdown syntax can by [found here](http://daringfireball.net/projects/markdown/)\n", - "\n", - "# This is heading 1\n", - "## This is heading 2\n", - "### This is heading 5\n", - "\n", - "> Beautiful is better than ugly.\n", - " Explicit is better than implicit.\n", - " Simple is better than complex.\n", - " Complex is better than complicated." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Notebook magics\n", - "IPython has a set of predefined \u2018magic functions\u2019 that you can call with a command line style syntax. There are two kinds of magics, line-oriented and cell-oriented. Line magics are prefixed with the % character and work much like OS command-line calls: they get as an argument the rest of the line, where arguments are passed without parentheses or quotes. Cell magics are prefixed with a double %%, and they are functions that get as an argument not only the rest of the line, but also the lines below it in a separate argument." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "### Timeit magic\n", - "The timeit magic can be used to evaluate the average time your loop or piece of code is taking to complete it's run." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%%timeit \n", - "x = 0 # setup\n", - "for i in range(100000): #lets use range here\n", - " x = x + i**2" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "100 loops, best of 3: 12.2 ms per loop\n" - ] - } - ], - "prompt_number": 16 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%%timeit \n", - "x = 0 # setup\n", - "for i in xrange(100000): #replace range with slightly improved xrange\n", - " x += i**2" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "100 loops, best of 3: 10.7 ms per loop\n" - ] - } - ], - "prompt_number": 17 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Know when the kernel is busy\n", - "Have a look at the top right hand side of the notebook and run the code cell above again. This shows that the kernel is busy running the current cell." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## User input\n", - "In the snippet below it the `raw_input()` function is used to read some user input to a variable `raw` and printed to stdout." - ] - }, - { - "cell_type": "code", - "collapsed": true, - "input": [ - "from IPython.display import HTML\n", - "\n", - "raw = raw_input(\"enter your input here >>> \")\n", - "\n", - "print \"Hallo, \",raw" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "stream": "stdout", - "text": [ - "enter your input here >>> World!\n" - ] - }, - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "Hallo, World!\n" - ] - } - ], - "prompt_number": 18 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## How to link to the filesystem" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.display import FileLink, FileLinks\n", - "FileLinks('.', notebook_display_formatter=True)" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 11, - "text": [ - "./\n", - " .DS_Store\n", - " builddocs.ipy\n", - " calling_r_example.ipynb\n", - " calling_ruby_example.ipynb\n", - " pycon13_ipython.ipynb\n", - " README.md\n", - "./.ipynb_checkpoints/\n", - " calling_r_example-checkpoint.ipynb\n", - " calling_ruby_example-checkpoint.ipynb\n", - " pycon13_ipython-checkpoint.ipynb\n", - "./data/\n", - " CapeTown_2009_Temperatures.csv\n", - " READEME.md\n", - "./output/\n", - " .DS_Store\n", - " pycon13_ipython.html\n", - " pycon13_ipython.slides.html\n", - " pycon13_ipython_complete.pdf\n", - " pycon13_ipython_pdf.pdf\n", - "./static/\n", - " .DS_Store\n", - " custom.css\n", - " frontpage.docx\n", - " frontpage.pdf\n", - " ip.png\n", - " ip2.png\n", - " matplotlibrc.json\n", - " python-vs-java.jpg\n", - " scistack.png" - ] - } - ], - "prompt_number": 11 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Running shell commands\n", - "I now use ipython as my default shell scripting language. lets put the contents of the current directory into a list. by using the `!` before a command indicates that you want to run a system command.\n", - "\n" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "filelist = !ls #read the current directory into variable\n", - "for x,i in enumerate(filelist):\n", - " print '#',x, '--->', i" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "# 0 ---> README.md\n", - "# 1 ---> builddocs.ipy\n", - "# 2 ---> calling_r_example.ipynb\n", - "# 3 ---> calling_ruby_example.ipynb\n", - "# 4 ---> data\n", - "# 5 ---> output\n", - "# 6 ---> pycon13_ipython.ipynb\n", - "# 7 ---> static\n" - ] - } - ], - "prompt_number": 20 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Embedding Images\n", - "\n", - "[Image](http://askrahul.com/blog/from-funny-moments-to-emails-to-sms/python-vs-java/) released under [CC BY-NC-ND 2.5 IN)](http://creativecommons.org/licenses/by-nc-nd/2.5/in/) by [Rhul Singh](http://askrahul.com/blog/about-rahul-singhs-blog/)" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.display import Image\n", - "Image('static/python-vs-java.jpg')" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "jpeg": 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Q2cQU9kQL+pBNed/tUjb+xz4++Zv+QYf4j/fSvYkHNeP/ALVn/JnHxA/7Bh/9GJWFV3TY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\nfwfpXq46V5B8K7j+1fj58aNd3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- "metadata": {}, - "output_type": "pyout", - "prompt_number": 21, - "text": [ - "" - ] - } - ], - "prompt_number": 21 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Adding YouYube videos\n", - "\n", - "I am making the video small as it does not embed into the final output pdf." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.display import YouTubeVideo\n", - "YouTubeVideo('iwVvqwLDsJo', width=200, height=200)" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "html": [ - "\n", - " \n", - " " - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 22, - "text": [ - "" - ] - } - ], - "prompt_number": 22 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Plotting with Matplotlib\n", - "matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from matplotlib.pylab import xkcd\n", - "#xkcd()\n", - "CustomPlot()\n", - "from numpy import *\n", - "\n", - "#generate some data\n", - "n = array([0,1,2,3,4,5])\n", - "xx = np.linspace(-0.75, 1., 100)\n", - "x = linspace(0, 5, 10)\n", - "y = x ** 2\n", - "\n", - "fig, axes = plt.subplots(1, 4, figsize=(12,3))\n", - "\n", - "axes[0].scatter(xx, xx + 0.25*randn(len(xx)))\n", - "axes[0].set_title('scatter')\n", - "axes[1].step(n, n**2, lw=2)\n", - "axes[1].set_title('step')\n", - "axes[2].bar(n, n**2, align=\"center\", width=0.5, alpha=0.5)\n", - "axes[2].set_title('bar')\n", - "axes[3].fill_between(x, x**2, x**3, color=\"green\", alpha=0.5);\n", - "axes[3].set_title('fill')\n", - "\n", - "for i in range(4):\n", - " axes[i].set_xlabel('x')\n", - "axes[0].set_ylabel('y')\n", - "show()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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EEKIBmjx5MkFBQURGRpbvu3TpEoMGDaJDhw5ERUWRlZVV/tqCBQto37494eHh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\ndJc6L3fiLudUarRdl9Ro10xqtF2Hu1x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Og6Oqsz2Af29v6eyEkHQ2JGwhCyGLQIBHhuRh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\nOSl0/omRa0Lm1ZUrVxASEoIXXngBqampeOmll2C1WnmN8TAl5a07aN7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- "text": [ - "" - ] - } - ], - "prompt_number": 23 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Combined plots" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "CustomPlot()\n", - "font_size = 20\n", - "figsize(11.5, 6) \n", - "fig, ax = plt.subplots()\n", - "\n", - "ax.plot(xx, xx**2, xx, xx**3)\n", - "ax.set_title(r\"Combined Plot $y=x^2$ vs. $y=x^3$\", fontsize = font_size)\n", - "ax.set_xlabel(r'$x$', fontsize = font_size)\n", - "ax.set_ylabel(r'$y$', fontsize = font_size)\n", - "fig.tight_layout()\n", - "# inset\n", - "inset_ax = fig.add_axes([0.29, 0.45, 0.35, 0.35]) # X, Y, width, height\n", - "inset_ax.plot(xx, xx**2, xx, xx**3)\n", - "inset_ax.set_title(r'zoom $x=0$',fontsize=font_size)\n", - "# set axis range\n", - "inset_ax.set_xlim(-.2, .2)\n", - "inset_ax.set_ylim(-.005, .01)\n", - "# set axis tick locations\n", - "inset_ax.set_yticks([0, 0.005, 0.01])\n", - "inset_ax.set_xticks([-0.1,0,.1]);\n", - "show()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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isRh9+/ZFq1ateKnpTRwdHXHixAmsXLkS9+/fR25uLjIzM3Ho0CHe8iCEEKIe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\nr5/i4uIkSaFQSHPnz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- "text": [ - "" - ] - } - ], - "prompt_number": 24 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Adding text to a plot" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "CustomPlot()\n", - "figsize(11.5, 6) \n", - "font_size = 20\n", - "fig, ax = plt.subplots()\n", - "ax.plot(xx, xx**2, xx, xx**3)\n", - "ax.set_xlabel(r'$x$', fontsize = font_size)\n", - "ax.set_ylabel(r'$y$', fontsize = font_size)\n", - "ax.set_title(r\"Adding Text $y=x^2$ vs. $y=x^3$\", fontsize = font_size)\n", - "ax.text(0.15, 0.2, r\"$y=x^2$\", fontsize=font_size, color=\"blue\")\n", - "ax.text(0.65, 0.1, r\"$y=x^3$\", fontsize=font_size, color=\"green\");" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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LFy6gffv2ZfYL7t27N2JjYxETE/PEV1+s6a+BoeRPZLT02qITkc6MGTNGKBQKsWbNmn98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- "text": [ - "" - ] - } - ], - "prompt_number": 25 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## xkcd style plotting\n", - "[matplolib v1.3](http://matplotlib.org/xkcd/examples/showcase/xkcd.html) now includes a setting to make plots resemple xkcd styles." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from matplotlib import pyplot as plt\n", - "import numpy as np\n", - "\n", - "plt.xkcd()\n", - "\n", - "fig = plt.figure()\n", - "ax = fig.add_subplot(1, 1, 1)\n", - "ax.spines['right'].set_color('none')\n", - "ax.spines['top'].set_color('none')\n", - "plt.xticks([])\n", - "plt.yticks([])\n", - "ax.set_ylim([-30, 10])\n", - "\n", - "data = np.ones(100)\n", - "data[70:] -= np.arange(30)\n", - "\n", - "plt.annotate(\n", - " 'THE DAY I REALIZED\\nI COULD COOK BACON\\nWHENEVER I WANTED',\n", - " xy=(70, 1), arrowprops=dict(arrowstyle='->'), xytext=(15, -10))\n", - "\n", - "plt.plot(data)\n", - "\n", - "plt.xlabel('time')\n", - "plt.ylabel('my overall health')\n", - "\n", - "fig = plt.figure()\n", - "ax = fig.add_subplot(1, 1, 1)\n", - "ax.bar([-0.125, 1.0-0.125], [0, 100], 0.25)\n", - "ax.spines['right'].set_color('none')\n", - "ax.spines['top'].set_color('none')\n", - "ax.xaxis.set_ticks_position('bottom')\n", - "ax.set_xticks([0, 1])\n", - "ax.set_xlim([-0.5, 1.5])\n", - "ax.set_ylim([0, 110])\n", - "ax.set_xticklabels(['CONFIRMED BY\\nEXPERIMENT', 'REFUTED BY\\nEXPERIMENT'])\n", - "plt.yticks([])\n", - "\n", - "plt.title(\"CLAIMS OF SUPERNATURAL POWERS\")\n", - "\n", - "plt.show()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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mzcumd29YsgRmzHAwcaJPhpcSh0yddYjKyspi4MCBnHXWWT9rgVQaN5FISE9B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vJm9ceumlrsdiWZY9fMM5TlYFYalDByzLkiVLlsiDDz7YYdxkKhVA1tfXZ3ye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\ndNqRnp6OPn364N69exCJRHB2dsbixYvh7+9fp1FVWVkJiUR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- "text": [ - "" - ] - } - ], - "prompt_number": 26 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Symbolic math using SymPy\n", - "\n", - "SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries.\n" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from sympy import *\n", - "init_printing(use_latex=True)\n", - "x = Symbol('x')\n", - "y = Symbol('y')\n", - "series(exp(x), x, 1, 5)" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "latex": [ - "$$e + e x + \\frac{1}{2} e x^{2} + \\frac{1}{6} e x^{3} + \\frac{1}{24} e x^{4} + \\mathcal{O}\\left(x^{5}\\right)$$" - ], - "metadata": {}, - "output_type": "pyout", - "png": "iVBORw0KGgoAAAANSUhEUgAAATkAAAAfCAYAAACcY7puAAAABHNCSVQICAgIfAhkiAAAB6JJREFU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\nampqampqampqSvF//lWFTKLgGsQAAAAASUVORK5CYII=\n", - "prompt_number": 27, - "text": [ - " 2 3 4 \n", - " \u212f\u22c5x \u212f\u22c5x \u212f\u22c5x \u239b 5\u239e\n", - "\u212f + \u212f\u22c5x + \u2500\u2500\u2500\u2500 + \u2500\u2500\u2500\u2500 + \u2500\u2500\u2500\u2500 + O\u239dx \u23a0\n", - " 2 6 24 " - ] - } - ], - "prompt_number": 27 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "eq = ((x+y)**2 * (x+1))\n", - "eq" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "latex": [ - "$$\\left(x + 1\\right) \\left(x + y\\right)^{2}$$" - ], - "metadata": {}, - "output_type": "pyout", - "png": "iVBORw0KGgoAAAANSUhEUgAAAHQAAAAbCAYAAACtOKuoAAAABHNCSVQICAgIfAhkiAAAA+lJREFU\naIHt2VuMXVMcx/HPFB3tVDGhhKQmbcQUbV2CtHVJJur+oCF9cXso8eDBQzuJB4IgaRQPivDkuFQ9\nkHghkUikWsUDDy5N3QcPKq1bSBn3h//ZOfvs2Xtmn2P2nGHONzmZs9b677XWf//X+a3/WkOX/xU9\nnZ5Al7Y4CytxKFbhLrzW0Rl1aZt52Jgqr8V+HNuZ6XT5tyzDX1hcL8/H3yKwXf6D9AjJTbbLk0RA\nTx3voSEcXO28WmYu3s2p78UlUzyX6cRTuD8pzMoxGEI/fp2qGZXgDGzD0py2UbF/zMSgrsPX2FBk\nMA9bK57EMhxY0nYJXkQNbwppKeI5HD5Oe9Wq04pfZZhIeS4TASX8GsgzurNuWCW1osFLPDdeQC/F\nHQVtQ7iyjTFboaY9v8bjBvlBPU8E8+j653KsyOtgFw6Y5EllqakmoAdht7Fn66lQHaoJKGOVZxF+\nEu8i/ZlPs0QsFXr8Z6bD03FtvX4A1+NGHCb2rtvx6eT60Ba/Yw9Oxnup+mFsybHvpF8DWC+CswXP\npNpuwhqcXy8/jps11OczHFJmkKvxaKZuER7WSJ5q+EjcUqwS56H1JZ1IqKnmF0o4f02mLk91Ou3X\nI5gtApXN3N/Cs6lykfLkks5yj8SPmfYNuEU4CH34HjvxJR4QjkwXvhN7SkKR6nTSr7OxA7/hIrGQ\nEvpwmsjoE9LKMyHpgPbij0z7JqHXCSvwSv37V+LFfFtmoCliVLNPy/Fxjl0n/foEzwtZv0DzdrBS\nbIPZe9nPcUqZztN76D4szOko4YT6JF4t0zGeEC80y0KcKVZolnV4u2T/efRrXvF5qkNn/dpT/7sW\nP+OllN05Ig67Ms9nlaeQdEBHcPE4tkP1ye5M1S1WnDhcV1BfExv8SIn5tcoCkTQk5KlOlk75daFY\nRKOpunOx3dhcIas8haSNXheH44Q5uFfjdma12MD3p54dLjPIFHIi3kiV9xl72TBd/DoOH6bKveKO\nNu/fYP34pkyn6YD+gg+EBBEH2mFx+TuI4zWvpluF/EwVyS3P3IL2QbwjkoiEERyVsZsufn0hApWw\nUfi4Lcc2qzylWY7N9e9HiGPAJrGi+4Sjj9VtVrczgNbS+wV4Ge9rHKD3Cqm6KmO7WVwVppljbFI0\nHfwiFtMOPFSfx3b8IF9ad4vjS1vcI6SrKmom/0ZlCe4uaHtBQ3WqpKZ9v2aJZOnJnLZBzRcPLdMj\nZKeqi+wHlczYSjIbtyk+eKdVp0pa8Wur5guFNSIxyyoM+coz46ladVplr8YiO0bsj9kthPGVZ0ZT\nteq0yhUiCboPT4vsNstEytOlS5cuXbp0mUT+AUnR4eM/KSdDAAAAAElFTkSuQmCC\n", - "prompt_number": 28, - "text": [ - " 2\n", - "(x + 1)\u22c5(x + y) " - ] - } - ], - "prompt_number": 28 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "expand(eq)" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "latex": [ - "$$x^{3} + 2 x^{2} y + x^{2} + x y^{2} + 2 x y + y^{2}$$" - ], - "metadata": {}, - "output_type": "pyout", - "png": "iVBORw0KGgoAAAANSUhEUgAAAQ0AAAAbCAYAAABm6to6AAAABHNCSVQICAgIfAhkiAAABP5JREFU\neJztnFuIV0Ucxz+7SFtpGQW1uJTrpQw0w0u26XYh8kWCksyHAiOMQgwKrKduDxotXR8qIbpN96AL\nEaUSkdpLGBVUEBiVFD3YBaIIKSPr4Xf+dDz+d3d+czlzTv/5gOyZmXN+8/v+ZpwzM2d2IZPJZBT0\nOT53ATATGAAuAgzwbhiXknAusByYDqwANgPvJ/XIj6wn40OUeP8MXFNcXwkcAI7zNZqIacBYKb0W\n0TOUxh1vsp6MD9HivQCYWlyvAf6ivYPGQuAQMKdIHw/8gwSrjWQ9GR9qifeLwG0hDdZMHzId6yzV\n5iNBWpTMIz+ynowPUeO9GLgFeBw4NoRBBcuA14HtwOfAk4Sbrj4HPBDIVhPIevyJ2d+aTpR4Xw98\njKyF6mAx8A5wQpGehmzS/AgMe9peD9yL+wZx08h6/InZ35pOsHiPAD8As4r0mcj0ZY2HzYXAFMt7\n3wbmVvIWFT687OHDpUiQAI6mng6h0a0lpJ6YftqSSk+s/haSGO0T9P/DUuA95HMrwCrgIEcGVoNR\nOPU78B1wciX/F+SrjgsXIgEaLP5dDpznaEuDIc7gFFqPIe1bNaWeGP0tNIaw7TNhvF1Gp4+Ap4Ab\nkV3WUWRU+srXU0v2AWfw39ebDn/i9gVnNvAWRy6vpjvYagJZT1hC97emM2m8q4PGEmAd8Dcycl0H\n3ICs54aAu4CvgedLzzwU0mMLRpDG2l/KmwGcAuyq3GurR9P4w8AmJLgvIF+POmwEVgOXKOxpiKEn\nBrZ+DmMXy5R6YvS3YdL1IZu6reM9G3gU6C/SBvgSORm2AplVbPJ0eDwMftOrMaShlpfyYunZChwF\n3AR8Vinbg26da7DX3Zb20fgZMpYaDGn7W2jdBns9QeveyuEjzCuFEYBTgfuBkzQGFRjcG3Eusu7c\nUsmPoWcUuKq43g68Wiqbihxy26CwZ9A1dhvax9bP0LHUYEjX32LoNtjpCV73rEr6e+BujQEPDG6N\nOAB8CDzYpSyGnsGiziHkTbO6VLYS2VGfr7BnsNfdlvax9TN0LDUY0vW3GLoNdnqC1F3e09hXup5X\nGN5p4YiGZ4Czu+SfhhygOdilbD1yDqRKH/A0sAO4s0t5DD2dde1a5G2zrVR2PrKb/kWX50Lobkv7\n2PrpGksNTexvPrp99USN+QZkd7h80nPOOPeGwKAf+bcAd1Ty1o1zb2g9O4A3Knm7kFODGgxub7w2\ntA/Y+RkqlhoM6ftbSN0GnR6vujubNscgJ7/OKtIrkU2SA6X7blU4FZtrkY2lzZX80eJnbD0zgb2l\n9AByXj/Wr2u3pX1c/Kw7li7E6G8pdXvV3VmerEJEfYJshpwO/Fq673ZkatQELgbuQ0bL8qffKcia\nDOLr+RY4sZQeQ07N7fawORFtaR8XP+uOpZZY/S2lbq+6O4PGbmSKswQ5az+C7AY/hqyT3gQ+COKu\nP68h372v7lLW2dGOredm4AngEeRtshTpJJ962JyItrSPi591x1JLrP6WUnfTY26Fob2//NOPbDA9\n6/CsoR26DfX46RNLDYZmxd1Xt8Fdj7ru/slvqYXfgD9SO2HJSxx+KOYyZKp3j4OttuiO5WfIWGpI\nHffQujV6UsW8p/kJeLi4ngF8Q/epa2ZyejWWKXV71/1/+TsLdXIFcA6yHzSINMCeCZ/IjEevxjKl\n7l6NeSaTyWQymUwmk8lkMpke518QvOZokU+z1gAAAABJRU5ErkJggg==\n", - 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"\n", - "Cape_Weather = DataFrame( read_csv('data/CapeTown_2009_Temperatures.csv' ))\n", - "Cape_Weather.head()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "html": [ - "
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highlowradiation
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" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 32, - "text": [ - " high low radiation\n", - "0 25 16 29.0\n", - "1 23 15 25.7\n", - "2 25 15 21.5\n", - "3 26 16 15.2\n", - "4 26 17 10.8" - ] - } - ], - "prompt_number": 32 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "CustomPlot()\n", - "figsize(11.5, 6)\n", - "font_size = 20\n", - "title('Cape Town temparature(2009)',fontsize = font_size)\n", - "xlabel('Day number',fontsize = font_size)\n", - "ylabel(r'Temperature [$^\\circ C$] ',fontsize = font_size)\n", - "Cape_Weather.high.plot()\n", - "Cape_Weather.low.plot()\n", - "show()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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2DLVr19YJZaAktVJ5ZqwzDONFzMwPNEueuTTxl6KNKT9t27bFV199BQC48847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XVdZONBn54aTRRlGkQvMAxDtuMGettFMAwDe2eCIfcGCZ84uVfe/8xRRsepXlzA9yEuNtR7KuMV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2E0FK1OLOsHZyGWBW0dfXEFQIvvbKz4RUmSao2fbSyYcOGZFVLUBYqiIOes3gC04hEsvV6t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\nP/wwps/07NkTNpstxkZr165FTk4Oe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- "text": [ - "Figure(920x480)" - ] - } - ], - "prompt_number": 33 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "CustomPlot()\n", - "figsize(11.5, 6)\n", - "font_size = 20\n", - "title( 'Mean solar radiation(horisontal plane)', fontsize=font_size)\n", - "xlabel('Month Number', fontsize = font_size)\n", - "ylabel(r'$MJ / day / m^2$',fontsize = font_size)\n", - "Cape_Weather.radiation.plot()\n", - "show()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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88gsLDw9nzZs3l3wKyFOmFYVWrVqxoKCg25ZbuHCh7Fxq1arFvvjiCyktnWuq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2AAAg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\ny6pfvXoVFy5c8HQxi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- "text": [ - "Figure(920x480)" - ] - } - ], - "prompt_number": 34 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# lets look at a proxy for heating degree and cooling degree days\n", - "level = 25\n", - "print Cape_Weather[ Cape_Weather['high'] > level ].count()\n", - "print Cape_Weather[ Cape_Weather['high'] <= level ].count()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "high 59\n", - "low 59\n", - "radiation 5\n", - "dtype: int64\n", - "high 306\n", - "low 306\n", - "radiation 7\n", - "dtype: int64\n" - ] - } - ], - "prompt_number": 35 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Basic descriptive statistics\n", - "print Cape_Weather['high'].describe()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "count 365.000000\n", - "mean 21.545205\n", - "std 4.764943\n", - "min 12.000000\n", - "25% 18.000000\n", - "50% 21.000000\n", - "75% 25.000000\n", - "max 36.000000\n", - "dtype: float64\n" - ] - } - ], - "prompt_number": 36 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "CustomPlot()\n", - "figsize(11.5, 6)\n", - "font_size = 20\n", - "title('Cape Town temperature distribution', fontsize=font_size)\n", - "ylabel('Day count',fontsize = font_size)\n", - "xlabel(r'Temperature [$^\\circ C $] ',fontsize = font_size)\n", - "Cape_Weather['high'].hist(bins=6)\n", - "show()" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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VulpbWateGbcNva2ir6GsFbrKWiEwdOUvY5lLSkr05WeJiCg6Qgg9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\njiY9evQguVz+l+vB2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- "text": [ - "Figure(920x480)" - ] - } - ], - "prompt_number": 37 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Typesetting\n", - "\n", - "### Latex\n", - "Latex is rendered using the mathjax javascript library " - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.display import Math\n", - "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "latex": [ - "$$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$$" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 38, - "text": [ - "" - ] - } - ], - "prompt_number": 38 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.display import Latex\n", - "Latex(r\"\"\"\\begin{eqnarray}\n", - "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n", - "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n", - "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n", - "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n", - "\\end{eqnarray}\"\"\")" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "outputs": [ - { - "latex": [ - "\\begin{eqnarray}\n", - "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n", - "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n", - "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n", - "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n", - "\\end{eqnarray}" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 39, - "text": [ - "" - ] - } - ], - "prompt_number": 39 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Using the Python Debugger - pdb\n" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%pdb on" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "Automatic pdb calling has been turned ON\n" - ] - } - ], - "prompt_number": 40 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "foo = 1\n", - "bar = 'a'\n", - "print foo+bar" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "ename": "TypeError", - "evalue": "unsupported operand type(s) for +: 'int' and 'str'", - "output_type": "pyerr", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mfoo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mbar\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'a'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0mfoo\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'int' and 'str'" - ] - }, - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "> \u001b[0;32m\u001b[0m(3)\u001b[0;36m\u001b[0;34m()\u001b[0m\n", - "\u001b[0;32m 1 \u001b[0;31m\u001b[0mfoo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0m\u001b[0;32m 2 \u001b[0;31m\u001b[0mbar\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'a'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0m\u001b[0;32m----> 3 \u001b[0;31m\u001b[0;32mprint\u001b[0m \u001b[0mfoo\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0m\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "stream": "stdout", - "text": [ - "ipdb> q\n" - ] - } - ], - "prompt_number": 41 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Loading Code Snippets" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%load http://pastebin.com/raw.php?i=mGiV1FwY" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [], - "prompt_number": 1 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "CustomPlot()\n", - "font_size = 20\n", - "figsize(11.5, 6)\n", - "\n", - "t = arange(0.0, 2.0, 0.01)\n", - "s = sin(2*pi*t)\n", - "plot(t, s)\n", - "\n", - "xlabel(r'time $(s)$', fontsize=font_size)\n", - "ylabel('voltage $(mV)$', fontsize=font_size)\n", - "title('Voltage', fontsize=font_size)\n", - "grid(True)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": 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b3wTj+CPlY/IcZOyyjD9tLcXeiiYYQjX4w+IhSI/2/caVMUmR+N8FjhXoL4/V4b2CMz6P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- "text": [ - "" - ] - } - ], - "prompt_number": 5 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## It's in a browser, can it do Javascript?\n", - "\n", - "[source](http://jakevdp.github.io/blog/2013/06/01/ipython-notebook-javascript-python-communication/)" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from IPython.display import HTML\n", - "\n", - "input_form = \"\"\"\n", - "
\n", - "Variable Name:
\n", - "Variable Value:
\n", - "\n", - "
\n", - "\"\"\"\n", - "\n", - "javascript = \"\"\"\n", - "\n", - "\"\"\"\n", - "\n", - "\n", - "HTML(input_form + javascript)" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "html": [ - "\n", - "
\n", - "Variable Name:
\n", - "Variable Value:
\n", - "\n", - "
\n", - "\n", - "\n" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 6, - "text": [ - "" - ] - } - ], - "prompt_number": 6 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "qwerty\n" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 7, - "text": [ - "'foo'" - ] - } - ], - "prompt_number": 7 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Saving a Gist\n", - "It is possible to save spesific lines of code to a GitHub gist. This is achieved with the `pastebin` magic as demonstrated below." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%pastebin \"cell one\" 0-10" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 8, - "text": [ - "u'https://gist.github.com/6651917'" - ] - } - ], - "prompt_number": 8 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Connect to this kernel remotely\n", - "Using the `%connect_info` magic you can obtain the connection info to connect to this workbook from another ipython console or qtconsole using :\n", - "\n", - " ipython qtconsole --existing" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%connect_info" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "{\n", - " \"stdin_port\": 55291, \n", - " \"ip\": \"127.0.0.1\", \n", - " \"control_port\": 55292, \n", - " \"hb_port\": 55293, \n", - " \"signature_scheme\": \"hmac-sha256\", \n", - " \"key\": \"dcc990e7-2eeb-4c41-8099-a25cf2308be4\", \n", - " \"shell_port\": 55289, \n", - " \"transport\": \"tcp\", \n", - " \"iopub_port\": 55290\n", - "}\n", - "\n", - "Paste the above JSON into a file, and connect with:\n", - " $> ipython --existing \n", - "or, if you are local, you can connect with just:\n", - " $> ipython --existing kernel-5db61520-8ecd-492b-9afb-5c8e65985a19.json \n", - "or even just:\n", - " $> ipython --existing \n", - "if this is the most recent IPython session you have started.\n" - ] - } - ], - "prompt_number": 9 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Publishing your Work\n", - "Newly added in the 1.0 release of IPython is the nbconvert tool, which allows you to convert an `.ipynb` notebook document file into various static formats.\n", - "\n", - "Currently, nbconvert is provided as a command line tool, run as a script using IPython. A direct export capability from within the IPython Notebook web app is planned.\n", - "\n", - "The command-line syntax to run the nbconvert script is: [MORE OPTIONS](http://ipython.org/ipython-doc/rel-1.0.0/interactive/nbconvert.html)\n", - "\n", - " ipython nbconvert --to FORMAT notebook.ipynb\n", - "\n", - "This page is converted and published to the following formats using this tool:\n", - "\n", - "* HTML\n", - "\n", - "* PDF (the PDF is created using `wkhtml2pdf` that takes the html file as an input)\n", - "\n", - "* LATEX\n", - "\n", - "* `Reveal.js` slideshow\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Building(exporting) from within the notebook\n", - "You can even call the build script from the notebook. The script will convert this page to an html and slide file. It will also compile to PDF and stitch a front page to it. Some of the last text in the building process wont appear as this notebook is being updated as it is being compile. Maybe not the best idea but saved a lot of time..." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "!ipython builddocs.ipy;\n", - "print \"Done\"" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## File links to exported content\n", - "The links below can be used to verify the output from the convertion process. This saved me a lot of time as I could just click below and have a look at the files without exiting the notebook." - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "FileLinks('output/')" - ], - "language": "python", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "outputs": [ - { - "html": [ - "output/
\n", - "  .DS_Store
\n", - "  pycon13_ipython.html
\n", - "  pycon13_ipython.slides.html
\n", - "  pycon13_ipython_complete.pdf
\n", - "  pycon13_ipython_pdf.pdf
" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 12, - "text": [ - "output/\n", - " .DS_Store\n", - " pycon13_ipython.html\n", - " pycon13_ipython.slides.html\n", - " pycon13_ipython_complete.pdf\n", - " pycon13_ipython_pdf.pdf" - ] - } - ], - "prompt_number": 12 - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Links to some interesting notebooks\n", - "The following notebooks showcase multiple aspects of IPython, from its basic\n", - "use to more advanced scenarios. They introduce you to the use of the Notebook\n", - "and also cover aspects of IPython that are available in other clients, such as\n", - "the cell magics for multi-language integration or our extended display\n", - "protocol.\n", - "\n", - "For beginners, we recommend that you start with the 5-part series that\n", - "introduces the system, and later read others as the topics interest you.\n", - "\n", - "Once you are familiar with the notebook system, we encourage you to visit our\n", - "[gallery](https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks)\n", - "where you will find many more examples that cover areas from basic Python\n", - "programming to advanced topics in scientific computing.\n", - "\n", - "* [Animations Using clear_output](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Animations%20Using%20clear_output.ipynb)\n", - "* [Cell Magics](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Cell%20Magics.ipynb)\n", - "* [Custom Display Logic](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Custom%20Display%20Logic.ipynb)\n", - "* [Cython Magics](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Cython%20Magics.ipynb)\n", - "* [Data Publication API](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Data%20Publication%20API.ipynb)\n", - "* [Frontend-Kernel Model](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Frontend-Kernel%20Model.ipynb)\n", - "* [Octave Magic](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Octave%20Magic.ipynb)\n", - "* [Part 1 - Running Code](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Part%201%20-%20Running%20Code.ipynb)\n", - "* [Part 2 - Basic Output](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Part%202%20-%20Basic%20Output.ipynb)\n", - "* [Part 3 - Pylab and Matplotlib](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Part%203%20-%20Pylab%20and%20Matplotlib.ipynb)\n", - "* [Part 4 - Markdown Cells](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Part%204%20-%20Markdown%20Cells.ipynb)\n", - "* [Part 5 - Rich Display System](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Part%205%20-%20Rich%20Display%20System.ipynb)\n", - "* [Progress Bars](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Progress%20Bars.ipynb)\n", - "* [R Magics](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/R%20Magics.ipynb)\n", - "* [Script Magics](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Script%20Magics.ipynb)\n", - "* [SymPy Examples](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/SymPy%20Examples.ipynb)\n", - "* [Trapezoid Rule](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Trapezoid%20Rule.ipynb)\n", - "* [Typesetting Math Using MathJax](http://nbviewer.ipython.org/url/github.com/ipython/ipython/raw/master/examples/notebooks/Typesetting%20Math%20Using%20MathJax.ipynb)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Sources / References \n", - "Since this talk focussed on the life cycle of the analysis to publication many of the code examples were taken from their respective websites. If I have not given credit at any point please let me know and I will make sure that the work is updated\n", - "\n", - "1. [SciPy](http://www.scipy.org/)\n", - "\n", - "2. Fernando P\u00e9rez, Brian E. Granger, IPython: A System for Interactive Scientific Computing, omputing in Science and Engineering, vol. 9, no. 3, pp. 21-29, May/June 2007, doi:10.1109/MCSE.2007.53. URL: http://ipython.org3\n", - "\n", - "3. [Hunter, J. D.Matplotlib: A 2D graphics environment](http://matplotlib.org/)\n", - "\n", - "4. [Sympy]()\n", - "\n", - "5. [Bayesian Methods for Hackers, the use of the custom css and also the custom matplotlib skin](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter1_Introduction/Chapter1_Introduction.ipynb)\n", - "\n", - "6. [Custom Stylesheets](http://python.6.x6.nabble.com/Style-Rules-for-Notebook-td4985853.html) and [here](http://zulko.wordpress.com/2013/04/14/customize-your-ipython-notebook-with-css/)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Embedding the final presentation into the notebook! \n", - "The build script generates a slideshow version of this notebook and saves it in the output directory. You can also use normal HTML in a cell and using the `iframe` tag the slideshow was embedded to a cell below. Since this document has not been build yet...we are editing it now, the slideshow below is linked to the previous saved version of this notebook. So if we did not make to many changes it should be pretty close to being the same thing." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "fragment" - } - }, - "source": [ - "" - ] - } - ], - "metadata": {} - } - ] -} \ No newline at end of file diff --git a/src/static/frontpage.docx b/src/static/frontpage.docx deleted file mode 100644 index 8e46ce4..0000000 Binary files a/src/static/frontpage.docx and /dev/null differ diff --git a/src/static/frontpage.pdf b/src/static/frontpage.pdf deleted file mode 100644 index bc3075c..0000000 Binary files a/src/static/frontpage.pdf and /dev/null differ diff --git a/src/static/ip.png b/src/static/ip.png deleted file mode 100644 index e9bdce3..0000000 Binary files a/src/static/ip.png and /dev/null differ diff --git a/src/static/ip2.png b/src/static/ip2.png deleted file mode 100644 index eb5ef2b..0000000 Binary files a/src/static/ip2.png and /dev/null differ diff --git a/src/static/python-vs-java.jpg b/src/static/python-vs-java.jpg deleted file mode 100644 index 330b5da..0000000 Binary files a/src/static/python-vs-java.jpg and /dev/null differ diff --git a/src/static/scistack.png b/src/static/scistack.png deleted file mode 100644 index 35e05b5..0000000 Binary files a/src/static/scistack.png and /dev/null differ diff --git a/src/static/custom.css b/styles/custyle.css similarity index 100% rename from src/static/custom.css rename to styles/custyle.css diff --git a/src/static/matplotlibrc.json b/styles/matplotlibrc.json similarity index 100% rename from src/static/matplotlibrc.json rename to styles/matplotlibrc.json diff --git a/styles/matstyle.css b/styles/matstyle.css new file mode 100644 index 0000000..53218f5 --- /dev/null +++ b/styles/matstyle.css @@ -0,0 +1,141 @@ + + + + + + + \ No newline at end of file diff --git a/talktools.py b/talktools.py new file mode 100644 index 0000000..dce0542 --- /dev/null +++ b/talktools.py @@ -0,0 +1,91 @@ +""" + Simple tools to style an IPython Notebook. + Author: htapia@lania.edu.mx (modified from Fernando Perez ) +""" + +#----------------------------------------------------------------------------- +# Imports +#----------------------------------------------------------------------------- + +# stdlib +import os + +# Third party +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +# %matplotlib inline + +# From IPython +from IPython.display import (HTML, Image, display, YouTubeVideo, Math, + Audio, clear_output, FileLinks) + +from IPython.core.pylabtools import figsize + +#----------------------------------------------------------------------------- +# Functions and classes +#----------------------------------------------------------------------------- + +def prefix(url): + prefix = '' if url.startswith('http') else 'http://' + return prefix + url + + +def simple_link(url, name=None): + name = url if name is None else name + url = prefix(url) + return '%s' % (url, name) + + +def html_link(url, name=None): + return HTML(simple_link(url, name)) + + +# Utility functions +def website(url, name='auto', width=800, height=450): + html = [] + name = url if name == 'auto' else name + if name: + html.extend(['
', + simple_link(url, name), + '
'] ) + + html.append('' % + (prefix(url), width, height)) + return HTML('\n'.join(html)) + + +def nbviewer(url, name=None, width=800, height=450): + return website('nbviewer.ipython.org/url/' + url, name, width, height) + + +def Video(fname): + from IPython.display import HTML, display + video = open(fname, "rb").read() + video_encoded = video.encode("base64") + video_tag = ''''''.format(video_encoded) + return HTML(data=video_tag) + + +def plot_audio(fname): + from scipy.io import wavfile + rate, x = wavfile.read(fname) + fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 4)) + ax1.plot(x); ax1.set_title('Raw audio signal') + ax2.specgram(x); ax2.set_title('Spectrogram'); + plt.show() + +#loads a customer marplotlib configuration file +def CustomPlot(): + import json + import matplotlib + from IPython.core.pylabtools import figsize + s = json.load( open("../styles/matplotlibrc.json") ) + matplotlib.rcParams.update(s) + figsize(18, 6) +#----------------------------------------------------------------------------- +# Load and publish CSS +#----------------------------------------------------------------------------- +if __name__ == '__main__': + display(HTML(open("../styles/matstyle.css", "r").read()))