Read and write HDF5 files from Python

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for matthew.brett from gravatar.com matthew.brett Avatar for scopatz from gravatar.com scopatz Avatar for takowl from gravatar.com takowl Avatar for Thomas.Caswell from gravatar.com Thomas.Caswell

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for matthew.brett from gravatar.com matthew.brett Avatar for scopatz from gravatar.com scopatz Avatar for takowl from gravatar.com takowl Avatar for Thomas.Caswell from gravatar.com Thomas.Caswell

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

3.15.1

3.15.0

3.14.0

3.13.0

3.12.1

3.12.0 yanked

Reason this release was yanked:

Prevalent import errors on Windows

3.11.0

3.10.0

3.9.0

3.8.0

3.7.0

3.6.0

This version

3.5.0

3.4.0

3.3.0

3.2.1

3.2.0

3.1.0

3.0.0

3.0.0rc1 pre-release

2.10.0

2.9.0

2.9.0rc1 pre-release

2.8.0

2.8.0rc1 pre-release

2.7.1

2.7.0

2.7.0rc2 pre-release

2.6.0

2.5.0

2.4.0

2.4.0b1 pre-release

2.3.1

2.3.0

2.3.0b1 pre-release

2.2.1

2.2.0

2.1.1

2.0.0

1.3.0

1.2.1

1.2.0

1.1.0

1.0.0

1.3.0.dev-r634 pre-release

Download files

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

Source Distribution

h5py-3.5.0.tar.gz (384.6 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

h5py-3.5.0-cp39-cp39-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.9Windows x86-64

h5py-3.5.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.12+ x86-64

h5py-3.5.0-cp39-cp39-macosx_10_9_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

h5py-3.5.0-cp38-cp38-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.8Windows x86-64

h5py-3.5.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

h5py-3.5.0-cp38-cp38-macosx_10_9_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

h5py-3.5.0-cp37-cp37m-win_amd64.whl (2.7 MB view details)

Uploaded CPython 3.7mWindows x86-64

h5py-3.5.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

h5py-3.5.0-cp37-cp37m-macosx_10_9_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

File details

Details for the file h5py-3.5.0.tar.gz.

File metadata

  • Download URL: h5py-3.5.0.tar.gz
  • Upload date:
  • Size: 384.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

File hashes

Hashes for h5py-3.5.0.tar.gz
Algorithm Hash digest
SHA256 77c7be4001ac7d3ed80477de5b6942501d782de1bbe4886597bdfec2a7ab821f
MD5 c1c8b43974335190d7b1a556fdcc4439
BLAKE2b-256 56c79410b3802f456c702f6e0ccebf82e628f42a30921f61a232e26e424d95d4

See more details on using hashes here.

File details

Details for the file h5py-3.5.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: h5py-3.5.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

File hashes

Hashes for h5py-3.5.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 cdff848353e2d20d5f66535957595c79932851f51e496623a96186d02ba0cf30
MD5 71df9dd941a394ae2cddfbd579170e72
BLAKE2b-256 747d1f038841781275906ae115eed4a8c3eab710925b90460e4c0400920d53c6

See more details on using hashes here.

File details

Details for the file h5py-3.5.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

  • Download URL: h5py-3.5.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: CPython 3.9, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

File hashes

Hashes for h5py-3.5.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f75d7bdaba8d3537490b0f53adcd043991ada3597f88e772969172c45145a8f6
MD5 cdc54ec1d8ccc8d8592fd6c719c5eb03
BLAKE2b-256 c3b9f7ac9ef329bbbbf76a2c4f33ca530498463731cef0b8a4d0921266a83a0f

See more details on using hashes here.

File details

Details for the file h5py-3.5.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: h5py-3.5.0-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

File hashes

Hashes for h5py-3.5.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 320f5810e058dcea73529dc98ae42263d34004bcc9209d7bf44eac5136716c3f
MD5 42fe744cec678276deda314619b6f987
BLAKE2b-256 c48bc9f42ab89959ea28d00bee4114d191a93fdf7c9c78a16a3ebec6cac663ac

See more details on using hashes here.

File details

Details for the file h5py-3.5.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: h5py-3.5.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

File hashes

Hashes for h5py-3.5.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 834a53178fc558c9832081fd18bc22f6f2585edcc06c802adfa4afb07ff884b4
MD5 d238c65806d57c2216c80b269feede27
BLAKE2b-256 d15214d592123eee586ba2bbbcd9288fea74d8dbc8125210cb32e206ff51db5f

See more details on using hashes here.

File details

Details for the file h5py-3.5.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

  • Download URL: h5py-3.5.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

File hashes

Hashes for h5py-3.5.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d15e1556ff9591b3f3d8c7b3b66085f3867e5500528663bf11c499ab71c9c6b6
MD5 ca9a3ec83328ff1132c966e3d175cb72
BLAKE2b-256 a66ddce483780741aad113d4510b63a78ba965d0629a7c8ac925b49f1d268241

See more details on using hashes here.

File details

Details for the file h5py-3.5.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: h5py-3.5.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

File hashes

Hashes for h5py-3.5.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 40fe8572511c317ec7598271b5dce9c25957cc373af733e53ea246bbf0244958
MD5 c1bcf4177990bcbae399cda678bdfbee
BLAKE2b-256 ff949d903de529a44153942a0abc22aabf686019a7b1456c1abf978a19faf26d

See more details on using hashes here.

File details

Details for the file h5py-3.5.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: h5py-3.5.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

File hashes

Hashes for h5py-3.5.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 fc763e707aa631fdc200878c7b5c13ea5b5d1f9772696871dcd6f0f5932fcd35
MD5 76d6eacf858c56c986fd926d236c9599
BLAKE2b-256 8e7405ca6b7cdcf9b9582d5811aa4071649a2353e3f6d90624a2411bd65bea55

See more details on using hashes here.

File details

Details for the file h5py-3.5.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

  • Download URL: h5py-3.5.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
  • Upload date:
  • Size: 4.1 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

File hashes

Hashes for h5py-3.5.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c99329ebe346a73bd13bf3fc3d54ee9421f6ee00de6ea085c64a856a9acee7b3
MD5 7794a01778b9f30cf222a220e36d0a5a
BLAKE2b-256 7eafca7a9c8bb11b202d7c1a712237343d0b8c5ef3a2d9ba124fa67061b605d3

See more details on using hashes here.

File details

Details for the file h5py-3.5.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: h5py-3.5.0-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 2.9 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.7

File hashes

Hashes for h5py-3.5.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3f9518c37a8b9cd067927a8cbc6fe96846d5d28c32e10baf49c8a1d012c9b0a6
MD5 0b5e083d1082b910b7533dd59b3e2ca5
BLAKE2b-256 5c797d0dedff2e74e69431e0fbbce7da3c808a42dec134b96887a5f92f09b8a9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page