Bokeh

Clone or download the repo

First get local copies of the tutorial notebooks:

$ git clone https://github.com/bokeh/bokeh-notebooks.git

This tutorial has been tested on:

Other combinations may work also.

The quickest, easiest way to install is to use Anaconda (or Miniconda):

Anaconda should come with all the dependencies included, but you may need to update your versions.

Use the command line to create an environment and install the packages:

$ conda env create
$ source activate bokeh-notebooks

NOTE: Run this in the tutorial directory where environment.yml file is.

Once you've got a base install, you can install the remaining dependencies with:

conda install phantomjs pillow selenium

Bokeh has a sample data download that gives us some data to build demo visualizations. To get it run the following command at your command line:

$ bokeh sampledata

or run the following from within a Python interpreter:

import bokeh.sampledata
bokeh.sampledata.download()

Some optional sections require the additional packages Flask, Datashader, and Holoviews. These can be installed with:

$ conda install -c pyviz datashader holoviews flask

From this folder run jupyter notebook, and open the [00 - Introduction and Setup.ipynb](00 - Introduction and Setup.ipynb) notebook.

$ jupyter notebook

Name		Name	Last commit message	Last commit date
parent directory ..
assets		assets
.gitignore		.gitignore
00 - Introduction and Setup.ipynb		00 - Introduction and Setup.ipynb
01 - Basic Plotting.ipynb		01 - Basic Plotting.ipynb
02 - Styling and Theming.ipynb		02 - Styling and Theming.ipynb
03 - Data Sources and Transformations.ipynb		03 - Data Sources and Transformations.ipynb
04 - Adding Annotations.ipynb		04 - Adding Annotations.ipynb
05 - Presentation Layouts.ipynb		05 - Presentation Layouts.ipynb
06 - Linking and Interactions.ipynb		06 - Linking and Interactions.ipynb
07 - Bar and Categorical Data Plots.ipynb		07 - Bar and Categorical Data Plots.ipynb
08 - Graph and Network Plots.ipynb		08 - Graph and Network Plots.ipynb
09 - Geographic Plots.ipynb		09 - Geographic Plots.ipynb
10 - Exporting and Embedding.ipynb		10 - Exporting and Embedding.ipynb
11 - Running Bokeh Applications.ipynb		11 - Running Bokeh Applications.ipynb
A1 - Models and Primitives.ipynb		A1 - Models and Primitives.ipynb
A2 - Visualizing Big Data with Datashader.ipynb		A2 - Visualizing Big Data with Datashader.ipynb
A3 - High-Level Charting with Holoviews.ipynb		A3 - High-Level Charting with Holoviews.ipynb
A4 - Additional Resources.ipynb		A4 - Additional Resources.ipynb
README.md		README.md
environment.yml		environment.yml