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Install

Install this package:

emerge -a dev-python/h5py

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

autounmask dev-python/h5py

Or alternatively:

emerge --autounmask-write -a dev-python/h5py

Package Information

Description:

HDF5 for Python (h5py) is a general-purpose simple Python interface to the Hierarchical Data Format library, version 5. Existing Python and Numpy concepts are used for the interface. Almost all HDF5 features are available from Python, including things like compound datatypes (as used with Numpy recarray types), HDF5 attributes, hyperslab and point-based I/O, and more recent features in HDF 1.8 like resizable datasets and recursive iteration over entire files.

Homepage:

https://www.h5py.org/ https://github.com/h5py/h5py/ https://pypi.org/project/h5py/

License:

BSD

Versions

Metadata

Description

• HDF5 for Python (h5py) is a general-purpose simple Python interface to the Hierarchical Data Format library, version 5. Existing Python and Numpy concepts are used for the interface. Almost all HDF5 features are available from Python, including things like compound datatypes (as used with Numpy recarray types), HDF5 attributes, hyperslab and point-based I/O, and more recent features in HDF 1.8 like resizable datasets and recursive iteration over entire files.

Maintainers

• Python (python@gentoo.org) - Type: project
• Gentoo Science Project (sci@gentoo.org) - Type: project

Upstream

• Remote IDs:
  • github: h5py/h5py
  • google-code: h5py
  • pypi: h5py

<pkgmetadata>
	<maintainer type="project">
		<email>python@gentoo.org</email>
		<name>Python</name>
	</maintainer>
	<maintainer type="project">
		<email>sci@gentoo.org</email>
		<name>Gentoo Science Project</name>
	</maintainer>
	<longdescription lang="en">
  HDF5 for Python (h5py) is a general-purpose simple Python interface to the
  Hierarchical Data Format library, version 5. Existing Python and
  Numpy concepts are used for the interface. Almost all HDF5 features
  are available from Python, including things like compound datatypes
  (as used with Numpy recarray types), HDF5 attributes, hyperslab and
  point-based I/O, and more recent features in HDF 1.8 like resizable
  datasets and recursive iteration over entire files.
  </longdescription>
	<upstream>
		<remote-id type="github">h5py/h5py</remote-id>
		<remote-id type="google-code">h5py</remote-id>
		<remote-id type="pypi">h5py</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Warning] USE flag 'examples' in ebuild 3.16.0 is not documented in metadata.xml
• [Warning] USE flag 'examples' in ebuild 3.15.1 is not documented in metadata.xml
• [Error] Missing md5-cache for ebuild h5py-3.16.0
• [Error] Missing md5-cache for ebuild h5py-3.15.1

USE Flags

Manage flags for this package: euse -i <flag> -p dev-python/h5py | euse -E <flag> -p dev-python/h5py | euse -D <flag> -p dev-python/h5py

Manifest