0.12.7 (Aug 2017)

Bokeh Version 0.12.7 is an incremental update that adds a few important features and fixes several bugs. Some of the highlights include:

  • Support graphs/trees/networks (#187) including configurable and extendable policies for highlighting and selection.
  • Filterable/Sliceable CDS views (#4070)
  • Pass HTTP request args to embedded sessions (#5992)
  • New Expression models for client-side computations, including Stack, for stacking CDS columns.
  • New module bokeh.transform with helper functions for simplifying DataSpec expressions, including jitter(), dodge(), factor_cmap(), etc.
  • Added hbar_stack() and vbar_stack() to greatly simplify creation of stacked bar charts.
  • Improvements for using Bokeh with Categorical data:
    • Support multi-level categories and hierarchical axes
    • Arbitrary limits on category names (e.g. no ':') have been lifted
    • Optional Pandas integration creates CDS from directly from GroupBy objects
    • Categorical Bar, Heatmap and Scatter plots easier to create with stable bokeh.plotting APIs
    • New User’s Guide chapter Handling Categorical Data
Many other small bugfixes and docs additions. For full details see the CHANGELOG.

Migration Guide

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. For more information see the project roadmap.

New Embed Functions for Bokeh Applications

Two new embed functions similar to autoload_server are added, that have simpler APIs and are more focused:

Additionally, with these new methods one may choose to not load the JS/CSS resource files by passing resources="none" as a parameter.

Deprecations Removed

The following previously deprecated modules or features have been removed:

  • bokeh.icons module
  • Legacy anchor and legend locations left_center and right_center
  • ImageRGBA.rows and ImageRGBA.cols properties
  • HBox and VBox in bokeh.layouts
  • validate keyword argument for bokeh.io.save

New Deprecations

bokeh.embed.autoload_server has been deprecated and replaced with the two simpler functions server_document() and server_session() described above.

bokeh.models.tools.tool_events has been deprecated. Users should instead use the SelectionGeometry event present on Plot or Figure.

DynamicImageRenderer and Plot.add_dyanamic_image have been deprecated. For GIS-related use-cases built on top of Bokeh, consider using GeoViews, or creating a Custom Extension.

ResizeTool is deprecated and also immediately is a NO-OP on the Python side. ResizeTool has been removed from BokehJS entirely.

BokehJS Widgets Bundle Split

The bokeh-widgets bundle was split into bokeh-widgets and bokeh-tables. This is to reduce the weight of the main widgets’ bundle. Bokeh includes bokeh-tables automatically when necessary, so this change should be transparent for most users. However, users of custom templates or other advanced embedding scenarios (including the use of components) may be affected. In short, if your application is responsible for loading Bokeh resources, then it should take care of loading the bokeh-tables as well.

TapTool Callback Calling Convention

The TapTool strayed from usual callback calling convention by passing a glyph data source as cb_obj. This has been rectified, and now the tool follows the usual convetion: the tool itself is passed as cb_obj and the data source is passed as part of the optional cb_data. Existing usage of OpenURL is unaffected by this change, but any CustomJS callbacks used with the tap tool will need to be updated to reflect this change.

DataTable Selection Highlighting Signal

The DataTable now responds to the signal source.change.emit(), instead of source.properties.selected.change.emit(), to visually highlight the rows in the DataTable that are part of the selection. If you have used source.properties.selected.change.emit() in CustomJS code, you will need to change it to source.change.emit().

The DataTable responds automatically to changes in its data source’s selected property. However, because of Bokeh’s change detection machinery, only a replacement of the selected property causes a change signal to be emitted, and not a partial update (e.g. source.selected['1d']['indices'] = [1, 2]). If you use a partial update in CustomJS code, you will need to emit the change signal yourself:

customjs = CustomJS(args=dict(source=source), code="""
    source['selected']['1d'].indices = [1, 2]

Refactoring of bokeh.server contents

The bokeh.server module was refactored in order to be easier to document and maintain, as well as simpler for user’s to use in more sophisticated use cases. These changes are not expected to impact standard usage of Bokeh in any way:

  • All protocol-related code was moved to a new module bokeh.protocol
  • The Server class was split into Server (no API changes) and a new BaseServer that can be used when explicit coordination of low level Tornado components is required.
  • Missing sections added to reference guide, and docsctring coverage greatly expanded.
  • Old cruft code to handle Tornado < 4.3 (which is no longer supported) was removed.