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(requiresrasterioandscikit-image) - PR #169 Added legends notebook demonstrating
create_categorical_legendandcreate_ramp_legend - PR #162 Added notebook example for
datashader.bokeh_ext.HoverLayer - PR #152 Added
alphaarg totf.interpolate - PR #151 #150, etc. Small bugfixes
- PR #146 #145 #144 #143 Added streaming example
- Added
holddecorator to utils,summarize_aggregate_valueshelper 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