Changelog for python2-datashader-0.6.9-lp151.2.1.noarch.rpm :

* Wed Feb 13 2019 Todd R - Update to version 0.6.9 + New features:
* Replaced outdated 536-line Bokeh dashboard.py with 71-line Panel+HoloViews dashboard.ipynb (#676)
* Allow aggregating xarray objects (in addition to Pandas and Dask DataFrames) (#675)
* Create WMTS tiles from Datashader data (#636)
* Added various geographic utility functions (ndvi, slope, aspect, hillshade, mean, bump map, Perlin noise) (#661)
* Made OpenSky data public (#691) + Bugfixes and compatibility:
* Fix array bounds error on line glyph (#683)
* Fixed the span argument to tf.shade (#680)
* Fixed composite.add (for use in spreading) to clip colors rather than overflow (#689)
* Fixed gerrymandering shape file (#688)
* Updated to match Bokeh (#656), Dask (#681, #667), Pandas/Numpy (#697)- Remove upstream included python-datashader-dask-api-change-fix.patch
* Thu Nov 22 2018 Enno Gotthold - Added patch to fix broken test_dask tests.
* python-datashader-dask-api-change-fix.patch Upstream URL: https://github.com/pyviz/datashader/pull/667
* Fri Oct 26 2018 Todd R - Update to version 0.6.8 + New features:
* Added Strange Attractors example (#632)
* Major speedup: optimized dask datashape detection (#634) + Bugfixes and compatibility:
* Silenced inappropriate warnings (#631)
* Fixed various other bugs, including #644
* Added handling for zero data and zero range (#612, #648)- Switch to pypi sources
* Mon Aug 13 2018 toddrme2178AATTgmail.com- Fix dependencies.
* Fri Jul 20 2018 mceplAATTsuse.com- Rebuilt with the new numba
* Thu Jul 19 2018 mceplAATTsuse.com- Update to 0.6.7: - Supports dask >= 0.18. - InteractiveImage is now deprecated; please use the Datashader support in HoloViews instead. - Updated installation and example instructions to use new datashader command. - Ensured transparent (not black) image is returned when there is no data to plot (thanks to Nick Xie) - Simplified getting-started example (thanks to David Jones)
* Thu Jun 07 2018 jengelhAATTinai.de- Fix some grammar issues.
* Thu May 03 2018 toddrme2178AATTgmail.com- Use %license tag
* Thu Mar 01 2018 toddrme2178AATTgmail.com- Update to 0.6.5 + New features: - Trimesh support: Rendering of irregular triangular meshes using Canvas.trimesh() (see user guide) (#525,#552) - Added a new website at datashader.org, with new Getting Started pages and an extensive User Guide, with about 50% new material not previously in example notebooks. Built entirely from Jupyter notebooks, which can be run in the examples/ directory. Website is now complete except for sections on points (see the nyc_taxi example in the meantime). - Canvas.raster() now accepts xarray Dataset types, not just DataArrays, with the specific DataArray selectable from the Dataset using the column= argument of a supplied aggregation function. - tf.Images() now displays anything with an HTML representation, to allow laying out Pandas dataframes alongside datashader output. + Bugfixes and compatibility: - Changed Raster API to match other glyph types: > Now accepts a reduction function via an agg= argument like Canvas.line(), Canvas.points(), etc. The previous downsample_method is still accepted for this release, but is now deprecated. > upsample_method is now interpolate, accepting linear=True or linear=False; the previous spelling is now deprecated. > The layer= argument previously accepted a 1-based integer index, which was confusing given the standard Python 0-based indexing elsewhere. Changed to accept an xarray coordinate, which can be a 1-based index if that\'s what is defined on the array, but also works with arbitrary floating-point coordinates (e.g. for a depth parameter in an image stack). > Now auto-ranges in x and y when not given explicit ranges, instead of raising an error. - Fixed various bugs, including one generating incorrect output in Canvas.raster(agg=\'mode\')
* Fri Oct 20 2017 toddrme2178AATTgmail.com- initial version