2023.4.2

Release using GitHub actions

(no changes to the Python package)

2023.4.1

What's Changed

• Make metadata for boost histograms more lightweight by @lgray in #63

Full Changelog: 2023.4.0...2023.4.1

2023.4.0

New:

• feat: support float weight argument by @douglasdavis in #69
• docs: add release docs by @douglasdavis in #70

Misc

• pre-commit autoupdates

Full Changelog: 2023.2.0...2023.4.0

2023.2.0

New

• Support for weights= and sample= when filling with dask-awkward arrays (#57)
• Make split_every configurable (aggregation of partitioned histograms to a single histogram) (#58)

Fixes

• Make sure empty histograms can be tokenized (85dd2a6)

Other

• Some pre-commit/CI updates

2023.1.4

• Remove hard dependency on pandas (by removing use of function from dask.dataframe) (#50, #51)

2023.1.3

• Make fill calls with dask-awkward input compatible with awkward typetracers (this allows future dask-awkward optimizations to work with dask-histogram layers) (#48)
• Run dask-awkward optimizations if the awkward key exists in dask.config (#49)
• Some pre-commit updates

2023.1.2

• Fix circular import (#46)

2023.1.1

New feautures

• Add dask.sizeof support (#43)
• Add support for adding dask_histogram.boost.Histogram objects (#44)

2023.1.0

• Refactored dask_histogram.boost.Histogram class to behave like a proper Dask collection. (#37)
• Improve boost-histogram like functionality (#38)
• Rename name attribute on dask_histogram.boost.Histogram class to dask_name so that hist.Hist attribute can be used (#42)
• CI updates (#41)
• Pre-commit updates (#34, #39)

2022.12.0

• Fixes and import error from dask_awkward
• Use ruff over flake8
• Pre-commit updates
• CI updates