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Install this package:

emerge -a dev-python/fast-histogram

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

autounmask dev-python/fast-histogram

Or alternatively:

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

Package Information

Description:

The fast-histogram mini-package aims to provide simple and fast histogram functions for regular bins that don't compromise on performance. It doesn't do anything complicated - it just implements a simple histogram algorithm in C and keeps it simple. The aim is to have functions that are fast but also robust and reliable. The result is a 1D histogram function here that is 7-15x faster than numpy.histogram, and a 2D histogram function that is 20-25x faster than numpy.histogram2d.

Homepage:

https://github.com/astrofrog/fast-histogram

License:

BSD-2

Versions

Metadata

Description

• The fast-histogram mini-package aims to provide simple and fast histogram functions for regular bins that don't compromise on performance. It doesn't do anything complicated - it just implements a simple histogram algorithm in C and keeps it simple. The aim is to have functions that are fast but also robust and reliable. The result is a 1D histogram function here that is 7-15x faster than numpy.histogram, and a 2D histogram function that is 20-25x faster than numpy.histogram2d.

Maintainers

• Astro Benzene (universebenzene@sina.com) - Type: person

Upstream

• Remote IDs:
  • pypi: fast-histogram
  • github: astrofrog/fast-histogram

<pkgmetadata>
	<maintainer type="person">
		<email>universebenzene@sina.com</email>
		<name>Astro Benzene</name>
	</maintainer>
	<longdescription lang="en">
		The fast-histogram mini-package aims to provide simple and fast histogram functions for
		regular bins that don't compromise on performance. It doesn't do anything complicated -
		it just implements a simple histogram algorithm in C and keeps it simple. The aim is to
		have functions that are fast but also robust and reliable. The result is a 1D histogram
		function here that is 7-15x faster than numpy.histogram, and a 2D histogram function
		that is 20-25x faster than numpy.histogram2d.
	</longdescription>
	<upstream>
		<remote-id type="pypi">fast-histogram</remote-id>
		<remote-id type="github">astrofrog/fast-histogram</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Warning] USE flag 'examples' in ebuild 0.14 is not documented in metadata.xml
• [Error] Missing md5-cache for ebuild fast-histogram-0.14

USE Flags

Manage flags for this package: euse -i <flag> -p dev-python/fast-histogram | euse -E <flag> -p dev-python/fast-histogram | euse -D <flag> -p dev-python/fast-histogram

Manifest