h5py · PyPI

Read and write HDF5 files from Python

These details have been verified by PyPI

Maintainers

matthew.brett scopatz takowl Thomas.Caswell

These details have not been verified by PyPI

Project links

Project description

The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, datasets and groups using established Python and NumPy concepts.

A strong emphasis on automatic conversion between Python (Numpy) datatypes and data structures and their HDF5 equivalents vastly simplifies the process of reading and writing data from Python.

Supports HDF5 versions 1.8.4 and higher. On Windows, HDF5 is included with the installer.

Project details

These details have been verified by PyPI

Maintainers

matthew.brett scopatz takowl Thomas.Caswell

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

3.12.1

Sep 26, 2024

3.12.0 yanked

Sep 25, 2024

Reason this release was yanked:

Prevalent import errors on Windows

3.11.0

Apr 10, 2024

3.10.0

Oct 9, 2023

3.9.0

Jun 20, 2023

3.8.0

Jan 23, 2023

3.7.0

May 24, 2022

3.6.0

Nov 16, 2021

3.5.0

Oct 20, 2021

This version

3.4.0

Aug 23, 2021

3.3.0

Jun 22, 2021

3.2.1

Mar 5, 2021

3.2.0

Mar 3, 2021

3.1.0

Nov 6, 2020

3.0.0

Oct 30, 2020

3.0.0rc1 pre-release

Oct 10, 2020

2.10.0

Sep 6, 2019

2.9.0

Dec 20, 2018

2.9.0rc1 pre-release

Dec 8, 2018

2.8.0

Jun 5, 2018

2.8.0rc1 pre-release

Mar 9, 2018

2.7.1

Sep 1, 2017

2.7.0

Mar 19, 2017

2.7.0rc2 pre-release

Jan 4, 2017

2.6.0

Apr 8, 2016

2.5.0

Apr 8, 2015

2.4.0

Jan 5, 2015

2.4.0b1 pre-release

Nov 3, 2014

2.3.1

Jun 22, 2014

2.3.0

Apr 22, 2014

2.3.0b1 pre-release

Mar 14, 2014

2.2.1

Dec 9, 2013

2.2.0

Sep 4, 2013

2.1.1

Jan 7, 2013

2.0.0

Jun 20, 2011

1.3.0

Mar 16, 2010

1.2.1

Sep 19, 2009

1.2.0

Jun 22, 2009

1.1.0

Feb 8, 2009

1.0.0

Dec 2, 2008

1.3.0.dev-r634 pre-release

Mar 16, 2010

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

h5py-3.4.0.tar.gz (371.1 kB view hashes)

Uploaded Aug 23, 2021 Source

Built Distributions

h5py-3.4.0-cp39-cp39-win_amd64.whl (2.8 MB view hashes)

Uploaded Aug 23, 2021 CPython 3.9 Windows x86-64

h5py-3.4.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (4.5 MB view hashes)

Uploaded Aug 23, 2021 CPython 3.9 manylinux: glibc 2.12+ x86-64

h5py-3.4.0-cp39-cp39-macosx_10_9_x86_64.whl (3.0 MB view hashes)

Uploaded Aug 23, 2021 CPython 3.9 macOS 10.9+ x86-64

h5py-3.4.0-cp38-cp38-win_amd64.whl (2.8 MB view hashes)

Uploaded Aug 23, 2021 CPython 3.8 Windows x86-64

h5py-3.4.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (4.5 MB view hashes)

Uploaded Aug 23, 2021 CPython 3.8 manylinux: glibc 2.12+ x86-64

h5py-3.4.0-cp38-cp38-macosx_10_9_x86_64.whl (2.9 MB view hashes)

Uploaded Aug 23, 2021 CPython 3.8 macOS 10.9+ x86-64

h5py-3.4.0-cp37-cp37m-win_amd64.whl (2.7 MB view hashes)

Uploaded Aug 23, 2021 CPython 3.7m Windows x86-64

h5py-3.4.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (4.1 MB view hashes)

Uploaded Aug 23, 2021 CPython 3.7m manylinux: glibc 2.12+ x86-64

h5py-3.4.0-cp37-cp37m-macosx_10_9_x86_64.whl (2.9 MB view hashes)

Uploaded Aug 23, 2021 CPython 3.7m macOS 10.9+ x86-64

Hashes for h5py-3.4.0.tar.gz

Hashes for h5py-3.4.0.tar.gz
Algorithm	Hash digest
SHA256	`ee1c683d91ab010d5e85cb61e8f9e7ee0d8eab545bf3dd50a9618f1d0e8f615e`
MD5	`272fcc0666306d74078ce8a27b384706`
BLAKE2b-256	`7bc5d71a944e0637a0db5a0f779c6b757253149fec439a5cafd5fc87e277658b`

Hashes for h5py-3.4.0-cp39-cp39-win_amd64.whl

Hashes for h5py-3.4.0-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`1edf33e722d47c6eb3878d51173b23dd848939f006f41b498bafceff87fb4cbd`
MD5	`bebdd4ae36a9e55cbc8414e0bfc79b05`
BLAKE2b-256	`e6b1a8d32e76e77d087432a7132e3b57bff43a49e13865862b0611abff506f8f`

Hashes for h5py-3.4.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for h5py-3.4.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`bb4ce46095e3b16c872aaf62adad33f40039fecae04674eb62c035386affcb91`
MD5	`0b8e9d776489ecb2d235cc881f64a4f0`
BLAKE2b-256	`1dd7da7d19951a37022d14b64040da46623efc861ba081906bcf90ca2243b97e`

Hashes for h5py-3.4.0-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for h5py-3.4.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`8745e5159830d7975a9cf38690455f22601509cda04de29b7e88b3fbdc747611`
MD5	`459ce200f6b7e57b5fca982e79263d07`
BLAKE2b-256	`be1f67c3f2cc0a29c9bfc5ad71004a60d01ff1e4c4c44bd026eabaf07340e5c9`

Hashes for h5py-3.4.0-cp38-cp38-win_amd64.whl

Hashes for h5py-3.4.0-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`8e809149f95d9a3a33b1279bfbf894c78635a5497e8d5ac37420fa5ec0cf4f29`
MD5	`8fa7a2bb4cd2b7dbce18238d1898ef08`
BLAKE2b-256	`03858a7322966f425ed844f5b53107dfd683b7316da42de78e642d0f6ecf2fb3`

Hashes for h5py-3.4.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for h5py-3.4.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`46917f20021dde02865572a5fd2bb620945f7b7cd268bdc8e3f5720c32b38140`
MD5	`beb34fd115fb4658e4b8e8ecd793fe70`
BLAKE2b-256	`739c476f18bb550d65b1d8e860d3b6c6351ca7949f3893b579329ef9d152281d`

Hashes for h5py-3.4.0-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for h5py-3.4.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`0b0f002f5f341afe7d3d7e15198e80d9021da24a4d182d88068d79bfc91fba86`
MD5	`bcc27736d0bf1aa5aca966b5e47c14ac`
BLAKE2b-256	`6027761d9e5d0871b70accb9cbb0c4923068cf01cfdd41937be274e96d7b29b6`

Hashes for h5py-3.4.0-cp37-cp37m-win_amd64.whl

Hashes for h5py-3.4.0-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`be2a545f09074546f73305e0db6d36aaf1fb6ea2fcf1add2ce306b9c7f78e55a`
MD5	`007faa0b901cd417684a0ef550230139`
BLAKE2b-256	`6256d3a7ec3c8fc7af435dd32e94191cbe6404c762f000c4ceaa5cc76be65e82`

Hashes for h5py-3.4.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for h5py-3.4.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`708ddff49af12c01d77e0f9782bb1a0364d96459ec0d1f85d90baea6d203764b`
MD5	`8d07edbb6f861b30b327445b138fdd52`
BLAKE2b-256	`eb49117a797099da86e38d65a3aeea837849752b71ae18e39462b9f41ffbc07f`

Hashes for h5py-3.4.0-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for h5py-3.4.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`aa511bd05a9174c3008becdc93bd5785e254d34a6ab5f0425e6b2fbbc88afa6d`
MD5	`beee6cfdd95ad35ab24bae8dab36b0b9`
BLAKE2b-256	`2fe32d33d00976de1265899e30d91c2d7eeec32942c579bfa410ccd517f293a6`