python3-h5py – general-purpose Python interface to hdf5 (Python 3)

HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data.

From a Python programmer’s perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called “groups”, and accessed using the tradional POSIX /path/to/resource syntax.

H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name.

This package provides the modules for Python 3.

Package availability chart

Distribution

Base version

Our version

Architectures

Debian GNU/Linux 10.0 (buster)

2.8.0-3

2.9.0-6~nd2~nd100+1

i386, amd64

Debian GNU/Linux 11.0 (bullseye)

2.10.0-9

Debian GNU/Linux 12.0 (bookworm)

3.7.0-8

Debian GNU/Linux 9.0 (stretch)

2.7.0-1

2.7.1-2~nd90+1

i386, amd64

Debian testing (trixie)

3.10.0-1

Debian unstable (sid)

3.10.0-1

Ubuntu 16.04 “Xenial Xerus” (xenial)

2.6.0-1

Ubuntu 18.04 “Bionic Beaver” (bionic)

2.7.1-2

Ubuntu 20.04 “Focal Fossa” (focal)

2.10.0-2build2

Ubuntu 22.04 “Jammy Jellyfish” (jammy)

3.6.0-2build1

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