Python interface to the NCSA HDF4 library

These details have been verified by PyPI

Maintainers

dhoese fhs Gosselin_A teoliphant

These details have not been verified by PyPI

Project links

Homepage

Development Status
- 5 - Production/Stable
Intended Audience
- Developers
- Science/Research
License
- OSI Approved
Operating System
- MacOS
- Microsoft :: Windows
- POSIX
- Unix
Programming Language
- C
- Python
- Python :: 3
Topic
- Scientific/Engineering
- Software Development

Project description

pyhdf

pyhdf is a python wrapper around the NCSA HDF version 4 library. The SD (Scientific Dataset), VS (Vdata) and V (Vgroup) API's are currently implemented. NetCDF files can also be read and modified. It supports both Python 2 and Python 3.

Note: The sourceforge pyhdf website and project are out-of-date. The original author of pyhdf have abandoned the project and it is currently maintained in github.

Version 0.9.x was called python-hdf4 in PyPI because at that time we didn't have access to the pyhdf package in PyPI. For version 0.10.0 and onward, please install pyhdf instead of python-hdf4.

Installation

See pyhdf installation instructions or doc/install.rst.

Documentation

See pyhdf documentation.

Additional documentation on the HDF4 format can be found in the HDF4 Support Page.

Examples

Example python programs using the pyhdf package can be found inside the examples/ subdirectory.

Project details

These details have been verified by PyPI

Maintainers

dhoese fhs Gosselin_A teoliphant

These details have not been verified by PyPI

Project links

Homepage

Development Status
- 5 - Production/Stable
Intended Audience
- Developers
- Science/Research
License
- OSI Approved
Operating System
- MacOS
- Microsoft :: Windows
- POSIX
- Unix
Programming Language
- C
- Python
- Python :: 3
Topic
- Scientific/Engineering
- Software Development

Release history Release notifications | RSS feed

0.11.4

Mar 14, 2024

This version

0.11.3

Jun 25, 2023

0.11.2

Jun 25, 2023

0.11.1

Jun 24, 2023

0.11.0

Jun 24, 2023

0.10.5

May 9, 2022

0.10.4

May 3, 2022

0.10.3

May 19, 2021

0.10.2

Dec 5, 2019

0.10.1

Mar 18, 2019

0.10.0

Mar 10, 2019

0.8.3

Oct 3, 2008

0.8.2

Aug 27, 2008

0.7-3

Jul 20, 2005

0.7-2

Jul 20, 2005

0.7-1

Dec 17, 2003

0.6-1

Dec 3, 2003

0.5-2

Aug 3, 2003

0.5-1

Aug 1, 2003

Download files

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

Source Distribution

pyhdf-0.11.3.tar.gz (146.6 kB view hashes)

Uploaded Jun 25, 2023 Source

Built Distributions

pyhdf-0.11.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (533.6 kB view hashes)

Uploaded Jun 25, 2023 PyPy manylinux: glibc 2.17+ x86-64

pyhdf-0.11.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (621.7 kB view hashes)

Uploaded Jun 25, 2023 PyPy macOS 10.9+ x86-64

pyhdf-0.11.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (533.4 kB view hashes)

Uploaded Jun 25, 2023 PyPy manylinux: glibc 2.17+ x86-64

pyhdf-0.11.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (621.9 kB view hashes)

Uploaded Jun 25, 2023 PyPy macOS 10.9+ x86-64

pyhdf-0.11.3-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (538.8 kB view hashes)

Uploaded Jun 25, 2023 PyPy manylinux: glibc 2.17+ x86-64

pyhdf-0.11.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (621.6 kB view hashes)

Uploaded Jun 25, 2023 PyPy macOS 10.9+ x86-64

pyhdf-0.11.3-cp311-cp311-win_amd64.whl (186.7 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.11 Windows x86-64

pyhdf-0.11.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (780.7 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.11 manylinux: glibc 2.17+ x86-64

pyhdf-0.11.3-cp311-cp311-macosx_10_9_x86_64.whl (629.2 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.11 macOS 10.9+ x86-64

pyhdf-0.11.3-cp310-cp310-win_amd64.whl (186.7 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.10 Windows x86-64

pyhdf-0.11.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (771.4 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.10 manylinux: glibc 2.17+ x86-64

pyhdf-0.11.3-cp310-cp310-macosx_10_9_x86_64.whl (629.1 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.10 macOS 10.9+ x86-64

pyhdf-0.11.3-cp39-cp39-win_amd64.whl (186.7 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.9 Windows x86-64

pyhdf-0.11.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (771.2 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.9 manylinux: glibc 2.17+ x86-64

pyhdf-0.11.3-cp39-cp39-macosx_10_9_x86_64.whl (629.1 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.9 macOS 10.9+ x86-64

pyhdf-0.11.3-cp38-cp38-win_amd64.whl (186.7 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.8 Windows x86-64

pyhdf-0.11.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (764.4 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.8 manylinux: glibc 2.17+ x86-64

pyhdf-0.11.3-cp38-cp38-macosx_10_9_x86_64.whl (629.4 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.8 macOS 10.9+ x86-64

pyhdf-0.11.3-cp37-cp37m-win_amd64.whl (185.8 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.7m Windows x86-64

pyhdf-0.11.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (762.0 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.7m manylinux: glibc 2.17+ x86-64

pyhdf-0.11.3-cp37-cp37m-macosx_10_9_x86_64.whl (629.0 kB view hashes)

Uploaded Jun 25, 2023 CPython 3.7m macOS 10.9+ x86-64

Hashes for pyhdf-0.11.3.tar.gz

Hashes for pyhdf-0.11.3.tar.gz
Algorithm	Hash digest
SHA256	`c3a3bbfbd22c6c97a62b4149f746461b9816d93dd08ce1c9315bd642625426a3`
MD5	`60f8d360ccc1c2fbc02741cd664bc098`
BLAKE2b-256	`c14421674103011f221e073478597c9d21e02cda5353ee52a98cbf188b0ef163`

Hashes for pyhdf-0.11.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyhdf-0.11.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`d8064d2a9736e92cd32a3280d15c2e5f40b9e438f38b28acc8cda588499c16fe`
MD5	`28cac96802d2c5844ea112f6be5a75b2`
BLAKE2b-256	`2dbed5a1b20493e7385507d546aa3ce0cad241f06adaaf6f03c1129b313c0340`

Hashes for pyhdf-0.11.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl

Hashes for pyhdf-0.11.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`cf2c70e38452ec8ab5a389fcf000eccdc25a70a706a1baf23e3f24a8e6d3f536`
MD5	`a19e42d337986702caaad663820ef076`
BLAKE2b-256	`ab7464865489aeb3f6db037dd91966fd077a401da47dae5078c2fcb79f3dd214`

Hashes for pyhdf-0.11.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyhdf-0.11.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`ae24090255c126d855d4576aad30095a8c5992e614c895e7676fcaf22ead88f4`
MD5	`59639dc321575424b6132adc29522635`
BLAKE2b-256	`0e319615ccfbbfb6baaf907d3c9827628859b6129d352037b7592c38faa7ae3f`

Hashes for pyhdf-0.11.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl

Hashes for pyhdf-0.11.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`fb15dda6dcd435008288ea9ca7549cb9b06728b314b19fa6c6e6c141a355028c`
MD5	`8b7e070738488cda7d52ca94eb2b83d4`
BLAKE2b-256	`720645bf35ce8f91990bde5fd448d48f6ef83ff83de33d080ff211466bca74ae`

Hashes for pyhdf-0.11.3-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyhdf-0.11.3-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`9b16a9b726c20b50b3686693abaf617101ca96e347616914ee5bd21d4ee112bc`
MD5	`0b4b7464ddf95c1c635115a09f55f0f1`
BLAKE2b-256	`42fc0dc0e00da24195e0640f0dd97b738ebf277d41886f4f9d6205ff9223f7ed`

Hashes for pyhdf-0.11.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl

Hashes for pyhdf-0.11.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`211d9be02406a2b2fc371b84160c7e2986bfb16c9c95ebfd5b95be98f8940c3f`
MD5	`2ab8200253d2e86fb48a70412a14eb80`
BLAKE2b-256	`419cbb199022ac8af4b0045bf3db5b12c584be51d6b5ac41fdcf2f78099fb280`

Hashes for pyhdf-0.11.3-cp311-cp311-win_amd64.whl

Hashes for pyhdf-0.11.3-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`73a2933736d4a48158e2023e7b871089b966111745ca1de0e08fa29f4be7be1b`
MD5	`35a57e854adb415c66484150154a7adb`
BLAKE2b-256	`49b51ec26870323ecda9626d76d66a42b982cda8941d4fcd546299207003d979`

Hashes for pyhdf-0.11.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyhdf-0.11.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`902ea09fb08154d7df98b3b476097c6213c353d657b40a8f9ce70b872ac0825c`
MD5	`6f8f5dada2bd87bb106d6b67140b367c`
BLAKE2b-256	`ba5dd154442f6ab89ba033d7aa550f94e8ab24fcc5ba692cd8e027e0c5a2b8a0`

Hashes for pyhdf-0.11.3-cp311-cp311-macosx_10_9_x86_64.whl

Hashes for pyhdf-0.11.3-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`056eb4b7820f56846d5dd99583cefcea723024237ebcfa2a463e51e7b4c6736f`
MD5	`74c8d513d4655023b26b7ab51cac6a51`
BLAKE2b-256	`d445d5638c122518e52c566f9acf82f6d9d6202c8262b51fae0957a056e686e7`

Hashes for pyhdf-0.11.3-cp310-cp310-win_amd64.whl

Hashes for pyhdf-0.11.3-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`70c9e500ba6665ff60841309b1b42dd3d91f48634f00a64f2ae305248ac342ea`
MD5	`e9aa3ed771e13a9837620426a776adc2`
BLAKE2b-256	`9d0a9e41296ad10ff2c19d408b5055a92b1bd1ff9dc1e10d483431f7c4a4c8b3`

Hashes for pyhdf-0.11.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyhdf-0.11.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`52fa1639afe75c39a005f12bf83b0ff3b15e0ee1ccaf9c1c245fe8fe5ad2e6e9`
MD5	`8f3305690befb25f639568f4063ebf8c`
BLAKE2b-256	`1fe42fa06774ead42c0ed9c242c20d3db2f174f69b76fd004232b66fdd870eab`

Hashes for pyhdf-0.11.3-cp310-cp310-macosx_10_9_x86_64.whl

Hashes for pyhdf-0.11.3-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`024a198b00fb18150cd5d53780eaa2d158ce1c5cc8630a10b92fe482621f1d3c`
MD5	`61b40fdebce9800a8e35962e96ce7fda`
BLAKE2b-256	`6b084b941453ce6944cc2c5c46e49ac8d4190a3a53c641b1499c89ecfbcbfe23`

Hashes for pyhdf-0.11.3-cp39-cp39-win_amd64.whl

Hashes for pyhdf-0.11.3-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`293edca14446f2733b0269da56d05790e70d5aef4e45bc8fd7aab80dcfe21141`
MD5	`09ca40dfea664d12fd1b28b12ae05c9a`
BLAKE2b-256	`4d1fe62e061b6d5182190e26050719feaab03d3e0a29e14a6e47d0273ddae089`

Hashes for pyhdf-0.11.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyhdf-0.11.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`3151bfd668e4c0b253c4b8f999f165b526d9db93d9db5c5b6f23860da28a204b`
MD5	`c984d9eadbe6b28dfd364ccef2a8675f`
BLAKE2b-256	`382c991a90c1c4e706d80afa701691aa937a58680e32dbec2a1525a13efbb51d`

Hashes for pyhdf-0.11.3-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for pyhdf-0.11.3-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`7cf4c6eb37fe6e0f81870fef73c93690895d44f3b7715e4b7fcc2f45b7f2fee3`
MD5	`ab803bd6b1639832659c7160ebc8e367`
BLAKE2b-256	`9b1018082072897e4c22d13323e7e6608f829e580968b2aae656f5c5e0377a3a`

Hashes for pyhdf-0.11.3-cp38-cp38-win_amd64.whl

Hashes for pyhdf-0.11.3-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`cc2b134bef3cfa9305a39b59f8ebc6a0e79d757837b882a4821594c48d77e13b`
MD5	`bfc02f6f3a7a182f7b16ed71d81ce4bc`
BLAKE2b-256	`80bd0c230e3b5531850deb8b5479071e51adcb9cc6c0d2cab1006ec6fa4a7014`

Hashes for pyhdf-0.11.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyhdf-0.11.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`63bdfb763b3bb7d40bf8e45bc13e69ef1874524644debac2b69b595fadc8451b`
MD5	`4ece430fb879f301a14dd830eb615edb`
BLAKE2b-256	`7d7a55238afa9f307264a10bb5e10e30c68df8b70d3fab55c9252a998de9b5d9`

Hashes for pyhdf-0.11.3-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for pyhdf-0.11.3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`7dfdaa168b0bafe7bed95cb080d162e73c7166ef260edcde2e7fa247ce3cf3b7`
MD5	`04ae42d50109664409d6d0e365f4268c`
BLAKE2b-256	`6caf58be2fd2153cdb0bfc66465961b650647d502a8efe00f3943b1328249cd8`

Hashes for pyhdf-0.11.3-cp37-cp37m-win_amd64.whl

Hashes for pyhdf-0.11.3-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`51001d8513894d7db56663b8c006bb419137c2e9a596e4c67d4b30e1beed15a3`
MD5	`40d682b5d4e34e915bf2e780593d0cdd`
BLAKE2b-256	`2ea1ed0f5bc5d5ca12a9820716ca02a9221f4163efe6c92f6a095ebbe224b241`

Hashes for pyhdf-0.11.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pyhdf-0.11.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`be461c019ed877aad8fb86c9a2f4fdf8ed3ea3c75e707a23afc6127d24a94f06`
MD5	`ac6fadad0b0f0fddc4590aa695e2a4a4`
BLAKE2b-256	`6c9d01235a96a70e625cfb93e8cf723e3e6eb58f6b9b4c7909aae52c063ed55a`

Hashes for pyhdf-0.11.3-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for pyhdf-0.11.3-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`2b5060c4287fbd43a9a955b85e537f223fc0a1f8847386209c4a1ac37e481d84`
MD5	`29bfa85b837a0dadb6923a601f60fcab`
BLAKE2b-256	`c6448c30664f68655044cfeb3b8fd92dab7ed28b35f0bfbd7b097becad97372d`