datashader 0.15.0

Version 0.15.0

on Python PyPI

This release provides significant improvements for inspection reductions by adding new first_n, last_n, max_n and min_n reductions, and providing Dask and CUDA support for all existing and new inspection reductions including where. It also provides support for Numba 0.57, NumPy 1.24 and Python 3.11, and drops support for Python 3.7.

Thanks to first-time contributors @danigm and @Jap8nted, and also regulars @hoxbro, @philippjfr and @ianthomas23.

Enhancements:

• Inspection reductions:

  • Reduction append functions return index not boolean (#1180)
  • first_n, last_n, max_n and min_n reductions (#1184)
  • Add cuda argument to _build_combine (#1194)
  • Support max_n and min_n reductions on GPU (#1196)
  • Use fast cuda mutex available in numba 0.57 (#1212)
  • Dask support for first, last, first_n and last_n reductions (#1214)
  • Wrap use of cuda mutex in where reductions (#1217)
  • Cuda and cuda-with-dask support for inspection reductions (#1219)

• x and y range attributes on returned aggregations (#1198)

• Make datashader.composite imports lazy for faster import time (#1222)

• Improvements to CI:

  • Cancel concurrent test workflows (#1208)

• Improvements to documentation:

  • Inspection reduction documentation (#1186, #1190)
  • Upgrade to latest nbsite and pydata-sphinx-theme (#1221)
  • Use geodatasets in example data

Bug fixes:

• Fix conversion from cupy in categorical rescale_discrete_levels (#1179)
• Validate canvas width, height (#1183)
• Support antialiasing in pipeline API (#1213)

Compatibility:

• NumPy 1.24 compatibility (#1176, #1185, #1218)

• Numba 0.57 compatibility (#1205)