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Minor bugfix release to support Bokeh 0.12:

• Fixed InteractiveImage zooming to work with Bokeh 0.12.
• Added more responsive event throttling for DynamicImage; throttle parameter no longer needed and is now deprecated
• Fixed datashader-download-data command
• Improved non-geo Taxi example
• Temporarily disabled dashboard legends; will re-enable in future release

The major feature of this release is support of raster data via Canvas.raster. To use this feature, you must install the optional dependencies via conda install rasterio scikit-image. rasterio relies on gdal, whose conda package has some known bugs, including a missing dependancy for conda install krb5. InteractiveImage in this release requires bokeh 0.11.1 or earlier, and will not work with bokeh 0.12.

• PR #160 #187 Improved example notebooks and dashboard
• PR #186 #184 #178 Add datashader-download-data cli command for grabbing example datasets
• PR #176 #177 Changed census example data to use HDF5 format (slower but more portable)
• PR #156 #173 #174 Added Landsat8 and race/ethnicity vs. elevation example notebooks
• PR #172 #159 #157 #149 Added support for images using Canvas.raster (requires rasterio and scikit-image)
• PR #169 Added legends notebook demonstrating create_categorical_legend and create_ramp_legend
• PR #162 Added notebook example for datashader.bokeh_ext.HoverLayer
• PR #152 Added alpha arg to tf.interpolate
• PR #151 #150, etc. Small bugfixes
• PR #146 #145 #144 #143 Added streaming example
• Added hold decorator to utils, summarize_aggregate_values helper function
• Added FAQ to docs

Backwards compatibility:

• Removed memoize_method
• Renamed datashader.callbacks --> datashader.bokeh_ext
• Renamed examples/plotting_problems.ipynb --> examples/plotting_pitfalls.ipynb

Initial public release

A major release with significant new functionality and some small backwards-incompatible changes.

New features:

• PR #124, census: New census notebook example, showing how to work with categorical data.
• PR #79, tseries, trajectory: Added line glyph and .any() reduction, used in new time series and trajectory notebook examples.
• PR #76, #77, #131, etc.: Updated all of the other notebooks in examples/, including nyc_taxi.
• PR #100, #125: Improved dashboard example: added categorical data support, census and osm datasets, legend and hover support, better performance, out of core option, and more
• PR #109, #111: Add full colormap support via a new cmap argument to interpolate and colorize; supports color ranges as lists, plus Bokeh palettes and matplotlib colormaps
• PR #98: Added set_background to make it easier to work with images having a different background color than the default white notebooks
• PR #119, #121: Added eq_hist option for how in interpolate, performing histogram equalization on the data to reveal structure at every intensity level
• PR #80, #83, #128: Greatly improved InteractiveImage performance and responsiveness
• PR #74, #123: Added operators for spreading pixels (to make individual datapoints visible, as circles, squares, or arbitrary mask shapes) and compositing (for simple and flexible composition of images)

Backwards compatibility:

• The low and high color options to interpolate and colorize are now deprecated and will be removed in the next release; use cmap=[low,high] instead.
• The transfer function merge has been removed to avoid confusion. stack and others can be used instead, depending on the use case.
• The default how for interpolate and colorize is now eq_hist, to reveal the structure automatically regardless of distribution.
• Pipeline now has a default dynspread step, to make isolated points visible when zooming in, and the default sizes have changed.