v0.11.1

What's Changed

• Improve publishing to pypi by @ml31415 in #87
• Reduce skipped tests by @ml31415 in #89

Full Changelog: v0.11.0...v0.11.1

v0.11.0

What's Changed

• Adding py3.12 by @ml31415 in #83
• Routine maintenance by @ml31415 in #86

Full Changelog: v0.10.2...v0.11.0

v0.10.2

• Bugfix for numpy implementations nancumsum

v0.10.1

• Moved project config into pyproject.toml
• weave implementation removed
• python2 legacy removed

v0.9.22

• Automatic pypi deployment fixed

v0.9.21

Performance improvements

What's Changed

• Fix versioneer configuration. by @sebastic in #71
• Fix pytest failure without numba. by @sebastic in #72
• Move to micromamba by @dcherian in #76
• Use faster group_idx creation when axis == -1 by @dcherian in #77
• Some optimizations for numpy aggregations by @dcherian in #78

New Contributors

• @sebastic made their first contribution in #71

Full Changelog: v0.9.20...v0.9.21

Bugfix release

Fixes some issues for argmin and argmax

v0.9.16

Fix custom callable reductions. (#59)

v0.9.10

• Fixes an issue for non-default fill_values for mean/std/var.

v0.9.8.4

This version comes with a couple of new functions for the numba implementation of aggregate:

• argmin
• argmax
• cumsum
• cumprod
• cummin
• cummax

The numba implementation now also handles jitting of arbitrary reduce functions, though the speed is not that impressive as it might sound.

sort was modified and sped up, so that it produces a groupwise sorted array in the same size of the input, and not an array of arrays anymore. This should be the more useful mode of operation.