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Install

Install this package:

emerge -a dev-python/dask-histogram

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask dev-python/dask-histogram

Or alternatively:

emerge --autounmask-write -a dev-python/dask-histogram

Package Information

Description:

Dask-histogram provides a new collection type for lazily constructing histogram objects. The API provided by boost-histogram is leveraged to calculate histograms on chunked/partitioned data from the core Dask Array and DataFrame collections.

Homepage:

https://github.com/dask-contrib/dask-histogram https://dask-histogram.readthedocs.io/

License:

BSD

Versions

Metadata

Description

• Dask-histogram provides a new collection type for lazily constructing histogram objects. The API provided by boost-histogram is leveraged to calculate histograms on chunked/partitioned data from the core Dask Array and DataFrame collections.

Maintainers

• Gentoo Science Project (sci@gentoo.org) - Type: project
• Alexander Puck Neuwirth (apn-pucky@gentoo.org) - Type: person

Upstream

• Remote IDs:
  • pypi: dask-histogram
  • github: dask-contirb/dask-histogram

<pkgmetadata>
	<maintainer type="project">
		<email>sci@gentoo.org</email>
		<name>Gentoo Science Project</name>
	</maintainer>
	<maintainer type="person">
		<email>apn-pucky@gentoo.org</email>
		<name>Alexander Puck Neuwirth</name>
	</maintainer>
	<longdescription lang="en">
Dask-histogram provides a new collection type for lazily constructing histogram objects. The API provided by boost-histogram is leveraged to calculate histograms on chunked/partitioned data from the core Dask Array and DataFrame collections.
	</longdescription>
	<upstream>
		<remote-id type="pypi">dask-histogram</remote-id>
		<remote-id type="github">dask-contirb/dask-histogram</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Error] Missing md5-cache for ebuild dask-histogram-2025.2.0

Manifest