clear worksheets output

Author: zmaalick

notebooks/worksheet1.ipynb

@@ -57,7 +57,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -107,7 +107,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -684,7 +684,6 @@
   }
  ],
  "metadata": {
-  "instance_type": "ml.t3.medium",
   "kernelspec": {
    "display_name": "Python [conda env:pyprecis-environment] (arn:aws:sagemaker:eu-west-2:198477955030:image-version/abtraining/1)",
    "language": "python",

notebooks/worksheet2.ipynb

@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -141,21 +141,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'lat' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-3-ecda39f860d9>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;31m# Note that the Aphrodite data are on a regular grid (unlike the  model data) so real latitudes and longitudes are\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;31m# used to define the region around KL (more on this in section 2.6)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mobs_cube_KL\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mobs_cube\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mintersection\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlatitude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlat\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlongitude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlon\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;31m# save the constrained cube to directory\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'lat' is not defined"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# load APHRODITE data\n",
     "obs_cube   = iris.load_cube(APHRODIR + '/aphro.mon.1961_1990.nc')\n",
@@ -188,18 +176,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Pole Latitude: 75.0\n",
-      "Pole Longitude: 289.0\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# Load the HadCM3Q0 (cahpa) model cube data as need grid information from it\n",
     "infile = os.path.join(DATADIR, 'cahpa.mon.1961_1990.pr.rr.nc')\n",
@@ -220,18 +199,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Rotated Longitudes: -7.92, -6.98\n",
-      "Rotated Latitudes: -12.12, -11.41\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "lon=np.array([101.25, 102.15])\n",
     "lat=np.array([2.74, 3.48])\n",
@@ -249,35 +219,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "OSError",
-     "evalue": "One or more of the files specified did not exist:\n    * \"/home/sagemaker-user/PyPRECIS/notebooks/data/cahpa.mon.1961_1990.pr.rr.mmday-1.nc\" didn't match any files",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-6-32f825d0a64b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      8\u001b[0m     \u001b[0;31m# Load the baseline precipitation data using the KL_constraint - the command below\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m     \u001b[0;31m# loads the data into a cube constrained by the area chosen\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0miris\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_cube\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minfile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m     \u001b[0;31m# All grid cells whose longitudes and latitudes lie within the limits shown will be selected.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m     data_KL = data.intersection(grid_longitude=rotated_lons,\n",
-      "\u001b[0;32m/opt/conda/envs/pyprecis-environment/lib/python3.6/site-packages/iris/__init__.py\u001b[0m in \u001b[0;36mload_cube\u001b[0;34m(uris, constraint, callback)\u001b[0m\n\u001b[1;32m    385\u001b[0m         \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'only a single constraint is allowed'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    386\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 387\u001b[0;31m     \u001b[0mcubes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_load_collection\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muris\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconstraints\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallback\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcubes\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[0m\u001b[1;32m    388\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    389\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/conda/envs/pyprecis-environment/lib/python3.6/site-packages/iris/__init__.py\u001b[0m in \u001b[0;36m_load_collection\u001b[0;34m(uris, constraints, callback)\u001b[0m\n\u001b[1;32m    323\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    324\u001b[0m         \u001b[0mcubes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_generate_cubes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muris\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallback\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconstraints\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 325\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0miris\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcube\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_CubeFilterCollection\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_cubes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcubes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconstraints\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    326\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mEOFError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    327\u001b[0m         raise iris.exceptions.TranslationError(\n",
-      "\u001b[0;32m/opt/conda/envs/pyprecis-environment/lib/python3.6/site-packages/iris/cube.py\u001b[0m in \u001b[0;36mfrom_cubes\u001b[0;34m(cubes, constraints)\u001b[0m\n\u001b[1;32m    155\u001b[0m         \u001b[0mpairs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0m_CubeFilter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconstraint\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mconstraint\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mconstraints\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    156\u001b[0m         \u001b[0mcollection\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_CubeFilterCollection\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpairs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 157\u001b[0;31m         \u001b[0;32mfor\u001b[0m \u001b[0mcube\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcubes\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    158\u001b[0m             \u001b[0mcollection\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_cube\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcube\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    159\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mcollection\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/conda/envs/pyprecis-environment/lib/python3.6/site-packages/iris/__init__.py\u001b[0m in \u001b[0;36m_generate_cubes\u001b[0;34m(uris, callback, constraints)\u001b[0m\n\u001b[1;32m    310\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mscheme\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'file'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    311\u001b[0m             \u001b[0mpart_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mgroups\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 312\u001b[0;31m             \u001b[0;32mfor\u001b[0m \u001b[0mcube\u001b[0m \u001b[0;32min\u001b[0m \u001b[0miris\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_files\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpart_names\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallback\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconstraints\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[0m\u001b[1;32m    313\u001b[0m                 \u001b[0;32myield\u001b[0m \u001b[0mcube\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    314\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mscheme\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'http'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'https'\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[0;32m/opt/conda/envs/pyprecis-environment/lib/python3.6/site-packages/iris/io/__init__.py\u001b[0m in \u001b[0;36mload_files\u001b[0;34m(filenames, callback, constraints)\u001b[0m\n\u001b[1;32m    191\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    192\u001b[0m     \"\"\"\n\u001b[0;32m--> 193\u001b[0;31m     \u001b[0mall_file_paths\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mexpand_filespecs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilenames\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    194\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    195\u001b[0m     \u001b[0;31m# Create default dict mapping iris format handler to its associated filenames\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/conda/envs/pyprecis-environment/lib/python3.6/site-packages/iris/io/__init__.py\u001b[0m in \u001b[0;36mexpand_filespecs\u001b[0;34m(file_specs)\u001b[0m\n\u001b[1;32m    174\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    175\u001b[0m                 \u001b[0mmsg\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;34m'\\n    * \"{}\" didn\\'t match any files'\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpattern\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 176\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mIOError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    177\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    178\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mfname\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mfnames\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mall_expanded\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mfname\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfnames\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mOSError\u001b[0m: One or more of the files specified did not exist:\n    * \"/home/sagemaker-user/PyPRECIS/notebooks/data/cahpa.mon.1961_1990.pr.rr.mmday-1.nc\" didn't match any files"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# Constrain the cube area over Kuala Lumpur (KL).\n",
     "# PRECIS uses a rotated grid, so the co-ordinates required are different to real world coordinates.\n",
     "\n",
     "for jobid in ['cahpa', 'cahpb']:\n",
     "    # Directory name where data are read from and stored to\n",
     "    infile = os.path.join(DATADIR, jobid + '.mon.1961_1990.pr.rr.mmday-1.nc')\n",
-    "    \n",
+    "    print(infile)\n",
     "    # Load the baseline precipitation data using the KL_constraint - the command below\n",
     "    # loads the data into a cube constrained by the area chosen\n",
     "    data = iris.load_cube(infile)\n",
@@ -1052,7 +1004,6 @@
   }
  ],
  "metadata": {
-  "instance_type": "ml.t3.medium",
   "kernelspec": {
    "display_name": "Python [conda env:pyprecis-environment] (arn:aws:sagemaker:eu-west-2:198477955030:image-version/abtraining/1)",
    "language": "python",