Name | pyhdf JSON |
Version |
0.11.4
JSON |
| download |
home_page | |
Summary | Python interface to the NCSA HDF4 library |
upload_time | 2024-03-14 11:45:24 |
maintainer | |
docs_url | None |
author | |
requires_python | |
license | MIT License |
keywords |
hdf4
netcdf
numpy
python
pyhdf
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
[![Tests](https://github.com/fhs/pyhdf/actions/workflows/tests.yml/badge.svg)](https://github.com/fhs/pyhdf/actions/workflows/tests.yml)
[![Pypi build](https://github.com/fhs/pyhdf/actions/workflows/package.yml/badge.svg)](https://github.com/fhs/pyhdf/actions/workflows/package.yml)
[![Anaconda-Server Badge](https://anaconda.org/conda-forge/pyhdf/badges/version.svg)](https://anaconda.org/conda-forge/pyhdf)
# 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](http://pysclint.sourceforge.net/pyhdf/) and
[project](https://sourceforge.net/projects/pysclint/) are out-of-date.
The original author of pyhdf have abandoned the project and it is
currently maintained in [github](https://github.com/fhs/pyhdf).
Version 0.9.x was called
[python-hdf4](https://pypi.org/project/python-hdf4/)
in PyPI because at that time we didn't have
[access](https://github.com/pypa/warehouse/issues/5157) to the
[pyhdf package](https://pypi.org/project/pyhdf/) in PyPI. For version
0.10.0 and onward, please install `pyhdf` instead of `python-hdf4`.
## Installation
See [pyhdf installation instructions](http://fhs.github.io/pyhdf/install.html)
or [doc/install.rst](doc/install.rst).
## Documentation
See [pyhdf documentation](http://fhs.github.io/pyhdf/).
Additional documentation on the HDF4 format can be found in the
[HDF4 Support Page](https://portal.hdfgroup.org/display/HDF4/HDF4).
## Examples
Example python programs using the pyhdf package
can be found inside the [examples/](examples/) subdirectory.
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