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0.12.2 (Sept 2016)

We’re pleased to announce the release of Bokeh 0.12.2! This minor update adds a few “small in footprint, but big in impact” features and several bug fixes including:

  • Client-side color mapping support for all glyphs
  • New color bar annotation
  • Support for loading external resources in custom models - Check out the new LaTeX example at: LaTeX
  • Hit-testing support for MultiLine glyphs
  • Improved hover tooltip default styling
  • Addition of the Brewer qualitative color palettes
  • Fix intermittent issues with BokehJS loading in Jupyter Notebooks
  • Split of the Bokeh JS API into a stand-alone bundle
  • Many small bug fixes

NOTE: the 0.12.x series is the last planned release series before a version 1.0 release. The focus of the 1.0 release will be implementing build automation to enforce API stability, and a very small number of high value features.

Migration Guide

Jupyter Notebook output changes

As part of the changes to ensure that the BokehJS client library has loaded before attempting to render plots in the notebook, a new notebook_handle argument was added to the bokeh.io.show method. When set to True (with output_notebook enabled), the show method will return a handle that can be used with push_notebook.

For users who rely on the notebook handles to update plots out of their render order, you’ll have to add notebook_handle=True to your show invocations like below:

from bokeh.plotting import figure
from bokeh.io import output_notebook, push_notebook, show
output_notebook()
plot = figure()
plot.circle([1,2,3], [4,6,5])
handle = show(plot, notebook_handle=True)
# Update the plot title in the earlier cell
plot.title = "New Title"
push_notebook(handle)

BokehJS API Changes

In order to shrink the size of the main BokehJS library and reduce pageload times, the Bokeh JS API has been separated into it’s own bokeh-api(.min).js bundle. For users requiring the JS API, it will be necessary to add the new resource to their HTML templates.