Bokeh plots don't show up in Jupyter Notebook


Running a Jupyter notebook that uses bokeh for data visualization will execute with no errors, however, the plots will not be displayed.



There is an incompatibility between the current version of bokeh provided by Canopy/EDM (0.12.9) and the current versions of the IPython/Jupyter/notebook ecosystem provided by Canopy/EDM. This issue persists even if bokeh is updated to 0.12.14 (the most recent version available via pip)



The quick method of addressing this issue is to downgrade bokeh to 0.12.5. The combination of bokeh 0.12.5 and the current versions of the IPython/Jupyter/notebook ecosystem provided by Canopy/EDM work correctly.

Note: For those users working with bokeh and Jupyter notebooks, it may be beneficial to use a separate python environment for your bokeh work. This will better help to avoid problems with Canopy/EDM updating your version of bokeh back to an incompatible version whenever you want to update a set of packages.


Canopy/EDM users can easily create a separate python environment with the specific older bokeh version as follows:

Note: All of the following commands should be entered from a Canopy terminal (Tools menu => Canopy Terminal or Canopy Command Prompt) for Canopy users

First create a separate env for your bokeh projects:

edm environments create env_name --version python_version

# for example to create a python 2.7 env called my_bokeh_env:

edm environments create my_bokeh_env --version 2.7


Next, install bokeh with the specific version number, along with the Jupyter and any other packages you may need

edm shell -e my_bokeh_env
edm install bokeh==0.12.5 jupyter numpy pandas etc.....


Now you should be able to run your Jupyter notebooks from this python environment as follows:

edm shell -e my_bokeh_env
jupyter notebook my_notebook.ipynb




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