v0.8.3

What's Changed

• Fix reordering of dataarray dimensions inside dataset by @eendebakpt in #289

New Contributors

• @eendebakpt made their first contribution in #289

Full Changelog: v0.8.2...v0.8.3

v0.8.2

Major performance improvements (yet again!) Thanks to @max-sixty for prompting these.

What's Changed

• Properly dispatch to numbagg when we can by @dcherian in #282
• Actually optimize out multiple "nanlen" by @dcherian in #283
• Set order='F' when raveling group_idx after broadcast by @dcherian in #286

Full Changelog: v0.8.1...v0.8.2

v0.8.1

Fix packaging of v0.8.0

See v0.8.0 release notes for all changes

v0.8.0

What's Changed

Major performance improvements!!!

1. Support numbagg throughengine="numbagg" for many common nan-skipping reductions in #72. Using numbagg appears to be a major speedup (2x-3x in general, 6X for nanmean). Special thanks to @max-sixty for major work on numbagg's grouped aggregations! Here are timings for reducing a 2D array along the last axis with ordered group labels.

   func	engine
   nansum	flox	70.3±0.2ms
   	numpy	122±0.2ms
   	numbagg	18.4±0.04ms
   nanmean	flox	144±0.4ms
   	numpy	196±0.5ms
   	numbagg	23.7±0.2ms
   nanmax	flox	93.4±0.8ms
   	numpy	953±2ms
   	numbagg	20.3±0.2ms
   count	flox	59.8±1ms
   	numpy	114±0.2ms
   	numbagg	29.3±0.1ms

2. Support engine=None in #266. This will

   • Use numbagg if available
   • If not, use flox if the group labels are sorted
   • Fallback to numpy otherwise.
     Thanks to @mathause for kicking off this work.

3. Significant speed to detecting "cohorts" of groups in #272

Other Major Changes

1. Test and support for python 3.12 (note numba does not support 3.12 yet)
2. Bump minimum numpy version to 1.22.
3. New Aggregations : Support quantile, median, mode with method="blockwise". by @dcherian in #269
4. Add multidimensional bins demo notebook by @dcherian in #203 . This is useful for prediction/forecasting problems.

Minor Changes

• Delete resample_reduce by @dcherian in #246
• Fix test failure on i386 by @avalentino in #248
• typing fixes by @Illviljan in #235, #253
• replace the deprecated provision-with-micromamba with setup-micromamba by @keewis in #258
• compatibility with numpy>=2.0 by @keewis in #257
• convert datetime: micro-optimizations by @mathause in #261

New Contributors

• @keewis made their first contribution in #258
• @mathause made their first contribution in #261

Full Changelog: v0.7.2...v0.8.0

v0.7.2

New reductions: nanfirst, nanlast, nanargmax, nanargmin .

Please test before using in production

What's Changed

• Support nanfirst, nanlast with simple combine algo by @dcherian in #240
• Enable nanargmax, nanargmin by @dcherian in #171

Full Changelog: v0.7.1...v0.7.2

v0.7.1

What's Changed

Bugfix!

• Check method only for dask reductions. by @dcherian in #241

Full Changelog: v0.7.0...v0.7.1

v0.7.0

What's Changed

Optimizations and performance improvements.

• Always factorize early by @dcherian in #234
• Handle min_count=0 by @dcherian in #238
• Optimize broadcasting by @dcherian in #230

Full Changelog: v0.6.10...v0.7.0

v0.6.10

Small performance improvement.

What's Changed

• Always reindex=True for all numpy inputs by @dcherian in #228

Full Changelog: v0.6.9...v0.6.10

v0.6.9

What's Changed

• add expected groups benchmark by @Illviljan in #218
• Use np.digitize instead of pd.cut by @Illviljan in #217
• Don't use deprecated distutils module. by @sebastic in #221
• Make sure to pass through range indexes by @dcherian in #225
• Add more type hints by @Illviljan in #219
• Micro-optimize: Use ._indexes instead of xindexes. by @dcherian in #226
• Small cleanup in factorize by @dcherian in #220

New Contributors

• @sebastic made their first contribution in #221

Full Changelog: v0.6.8...v0.6.9

v0.6.8

What's Changed

Mostly bugfixes and a small doc improvement

• Recognize grouping by IntervalIndex as binning by @dcherian in #205
• docs: Add introduction to flox by @dcherian in #206
• Propagate multi-indexes properly by @TomNicholas in #216

New Contributors

• @TomNicholas made their first contribution in #216

Full Changelog: v0.6.7...v0.6.8