bokeh-resources 0.4

Jupyter extension to serve bokeh resources (js and css files).

bokeh-resources

Bokeh (https://bokeh.org/) Python plotting library has two main modes for serving static content: CDN and inline.

• 'cdn' (=content distribution network) mode needs internet connection every time you open the notebook

• 'inline' mode increases the size of ipynb files by 6Mb

bokeh-resources is a jupyter extension that makes jupyter serve bokeh files locally.

It keeps the size of ipynb files small and works offline as well.

Installation:

Install the nbextensions if you haven't already:

pip install jupyter_contrib_nbextensions && jupyter contrib nbextensions install

Then either

pip install bokeh-resources
python -m bokeh_resources.install

Or

git clone https://github.com/axil/bokeh-resources
cd bokeh_resources/bokeh_resources
python install.py

This will install the extension to jupyter and to create the symlink (see 'Updating' below)

After this the package itself can be safely uninstalled (pip uninstall bokeh-resources).

To uninstall the extension run

jupyter nbextensions uninstall bokeh_resources

Usage:

In bokehlab:

%bokehlab local

In bokeh:

from bokeh.io import output_notebook
from bokeh.resources import Resources
output_notebook(Resources('server', root_url='/nbextensions/bokeh_resources'))

Updating:

Serving is performed through a symbolic link (or a directory junction on Windows).

This means that it is resilient to bokeh updates.

(= the extension does not need to be updated when bokeh is updated to the next version).

The extension needs to be updated when switching to a different python version. Use argument -f/--force to force overwriting of the symlink to the uptodate bokeh resources directory witin the current python version:

python -m bokeh_resources.install -f