h5py
Simple Python interface to HDF5 files
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 ↗homepage ↗homepage ↗ github: h5py/h5py google-code: h5py pypi: h5py
Available in
| Overlay | Newest | Ebuilds | Last activity | |
|---|---|---|---|---|
| gentoo gitweb ↗ | 3.16.0 | 1 | 14 h | details › |
Versions & arches
Use flags of 3.16.0
- examples Install examples, usually source code
- test Enable dependencies and/or preparations necessary to run tests (usually controlled by FEATURES=test but can be toggled independently)
- doc Add extra documentation (API, Javadoc, etc). It is recommended to enable per package instead of globally
- debug Enable extra debug codepaths, like asserts and extra output. If you want to get meaningful backtraces see https://wiki.gentoo.org/wiki/Project:Quality_Assurance/Backtraces
- verify-provenance Verify provenance of PyPI distfiles (verifies that the artifact comes from upstream source repository)
3 expansion flags (python targets, ABIs, cpu flags…)
- python_targets_python3_12
- python_targets_python3_13
- python_targets_python3_14
Runtime dependencies of 3.16.0
show 11 lines
python_targets_python3_12?
(
)
python_targets_python3_13?
(
)
python_targets_python3_14?
(
)