Merge branch 'master' into dash-oil-and-gas

Author: christopherjeon

.DS_Store

@@ -102,7 +102,7 @@ jobs:
               echo $PLOTLY_GA_CODE > ~/dash-sample-apps/apps/"$APP"/assets/plotly_ga.js
               git add ~/dash-sample-apps/apps/"$APP"/assets/plotly_ga.js && git commit -m "Deployed commit: $CIRCLE_SHA1"
               git remote add $APP https://dash-gallery.plotly.host/GIT/$APP
-              git push $APP master --force
+              git push $APP master --force || echo "Deploy failed because there is no such app on Dash Gallery: $APP. Please use the web interface to create an app with this name. Continuing deployments..."
             done
       - run:
           name: Push to production

.circleci/config.yml

@@ -1,4 +1,7 @@
 vv/
 *.pyc
+*.DS_Store
 venv/
 .idea/
+.DS_Store
+.Rproj.user

.gitignore

@@ -11,7 +11,7 @@ want to run is `my_dash_app` and the app filename is `app.py`, you
 would need to run `python apps/my_dash_app/app.py` from the root
 of the repository.
 
-Each app has a requirements.txt, install the dependecies in a virtual 
+Each app has a requirements.txt, install the dependecies in a virtual
 environment.
 
 ## Contributing to the sample apps repo
@@ -117,9 +117,9 @@ branch. Once you have passed your code review, you can merge your PR.
 
 - **`Procfile`** gets run at root level for deployment
     - Make sure python working directory is at the app level
-    - Ex. `web: gunicorn --pythonpath apps/{DASH_APP_NAME} app:server` 
+    - Ex. `web: gunicorn --pythonpath apps/{DASH_APP_NAME} app:server`
 - **`requirements.txt`**
-    - Install project dependecies in a virtual environment 
+    - Install project dependecies in a virtual environment
 - **`runtime.txt`**
     - App python version
 
@@ -132,7 +132,7 @@ branch. Once you have passed your code review, you can merge your PR.
     │   ├── data/               # all data (csv, json, txt, etc)
     │   ├── app.py              # dash application entry point
     │   ├── Procfile            # used for heroku deployment (how to run app)
-    │   ├── requirements.txt    # project dependecies 
+    │   ├── requirements.txt    # project dependecies
     │   ├── runtime.txt         # used for heroku deployment (python version)
     │   └── ...                 
     └── ...
@@ -147,7 +147,7 @@ Img(src="./assets/logo.png") will fail at root level
 ```
 
 Tips
-
+ 
 -  Use [get_asset_url()](https://dash.plot.ly/dash-deployment-server/static-assets)
 -  Use [Pathlib](https://docs.python.org/3/library/pathlib.html) for more flexibility
 

README.md

@@ -0,0 +1,4 @@
+venv
+*.pyc
+.DS_Store
+.env

apps/dash-brain-viewer/.gitignore

@@ -0,0 +1 @@
+web: gunicorn --pythonpath apps/dash-brain-viewer app:server

apps/dash-brain-viewer/Procfile

@@ -0,0 +1,48 @@
+# Dash Brain Viewer
+
+## About this app
+
+
+This demo represents a brain model. The user is able to annotate the brain.
+
+
+Original repo: [plotly/dash-brain-surface-viewer](https://github.com/plotly/dash-brain-surface-viewer)
+
+
+## How to run this app
+
+(The following instructions apply to Posix/bash. Windows users should check
+[here](https://docs.python.org/3/library/venv.html).)
+
+First, clone this repository and open a terminal inside the root folder.
+
+Create and activate a new virtual environment (recommended) by running
+the following:
+
+```bash
+python3 -m venv myvenv
+source myvenv/bin/activate
+```
+
+Install the requirements:
+
+```bash
+pip install -r requirements.txt
+```
+Run the app:
+
+```bash
+python app.py
+```
+Open a browser at http://127.0.0.1:8050
+
+## Screenshots
+
+![brain.png](brain.png)
+
+### Credit
+
+- [ACE Lab](https://www.mcgill.ca/bic/research/ace-lab-evans) at McGill for the brain data and inspiration from their excellent brain [Surface Viewer](https://brainbrowser.cbrain.mcgill.ca/surface-viewer#ct)
+- [Julia Huntenburg](https://github.com/juhuntenburg) for figuring out how to [read MNI objects in Python](https://github.com/juhuntenburg/laminar_python/blob/master/io_mesh.py)
+- [E. Petrisor](https://github.com/empet) for her extensive [exploration in Python with Plotly.js meshes](https://plot.ly/~empet/14767/mesh3d-from-a-stl-file/)
+