python-h5py-doc – documentation for h5py¶
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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 documentation.
Distribution |
Base version |
Our version |
Architectures |
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Debian GNU/Linux 10.0 (buster) |
2.8.0-3 |
2.9.0-6~nd2~nd100+1 |
i386, amd64, sparc, armel, ppc64el |
Debian GNU/Linux 11.0 (bullseye) |
2.10.0-9 |
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Debian GNU/Linux 12.0 (bookworm) |
3.7.0-8 |
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Debian GNU/Linux 9.0 (stretch) |
2.7.0-1 |
2.7.1-2~nd90+1 |
i386, amd64, sparc, armel |
Debian testing (trixie) |
3.11.0-5 |
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Debian unstable (sid) |
3.11.0-8 |
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Ubuntu 16.04 “Xenial Xerus” (xenial) |
2.6.0-1 |
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Ubuntu 18.04 “Bionic Beaver” (bionic) |
2.7.1-2 |
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Ubuntu 20.04 “Focal Fossa” (focal) |
2.10.0-2build2 |
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Ubuntu 22.04 “Jammy Jellyfish” (jammy) |
3.6.0-2build1 |
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Ubuntu 24.04 “Noble Numbat” (noble) |
3.10.0-1ubuntu3 |