Merge pull request #2295 from plotly/pin_orca_docs

Pin orca docs

Author: nicolaskruchten

.circleci/create_conda_optional_env.sh

@@ -19,5 +19,5 @@ if [ ! -d $HOME/miniconda/envs/circle_optional ]; then
 requests nbformat six retrying psutil pandas decorator pytest mock nose poppler xarray scikit-image ipython jupyter ipykernel ipywidgets
 
     # Install orca into environment
-    $HOME/miniconda/bin/conda install --yes -n circle_optional -c plotly plotly-orca
+    $HOME/miniconda/bin/conda install --yes -n circle_optional -c plotly plotly-orca==1.2.1
 fi

doc/python/getting-started.md

@@ -199,7 +199,7 @@ installation of the plotly [orca](https://github.com/plotly/orca) command line u
 These dependencies can all be installed using conda:
 
 ```
-$ conda install -c plotly plotly-orca psutil requests
+$ conda install -c plotly plotly-orca==1.2.1 psutil requests
 ```
 
 Or, `psutil` and `requests` can be installed using pip...

doc/python/orca-management.md

@@ -164,7 +164,7 @@ Searched for executable 'orca' on the following path:
 
 If you haven't installed orca yet, you can do so using conda as follows:
 
-    $ conda install -c plotly plotly-orca
+    $ conda install -c plotly plotly-orca==1.2.1
 
 Alternatively, see other installation methods in the orca project README at
 https://github.com/plotly/orca.

doc/python/static-image-export.md

@@ -47,10 +47,10 @@ Static image generation requires the [orca](https://github.com/plotly/orca) comm
 ##### conda
 Using the [conda](https://conda.io/docs/) package manager, you can install these dependencies in a single command:
 ```
-$ conda install -c plotly plotly-orca psutil requests
+$ conda install -c plotly plotly-orca==1.2.1 psutil requests
 ```
 
-**Note:** Even if you do not want to use conda to manage your Python dependencies, it is still useful as a cross platform tool for managing native libraries and command-line utilities (e.g. git, wget, graphviz, boost, gcc, nodejs, cairo, etc.).  For this use-case, start with [Miniconda](https://conda.io/miniconda.html) (~60MB) and tell the installer to add itself to your system `PATH`.  Then run `conda install plotly-orca` and the orca executable will be available system wide.
+**Note:** Even if you do not want to use conda to manage your Python dependencies, it is still useful as a cross platform tool for managing native libraries and command-line utilities (e.g. git, wget, graphviz, boost, gcc, nodejs, cairo, etc.).  For this use-case, start with [Miniconda](https://conda.io/miniconda.html) (~60MB) and tell the installer to add itself to your system `PATH`.  Then run `conda install plotly-orca==1.2.1` and the orca executable will be available system wide.
 
 ##### npm + pip
 You can use the [npm](https://www.npmjs.com/get-npm) package manager to install `orca` (and its `electron` dependency), and then use pip to install `psutil`: