https://github.com/NCAR/pynio

PyNIO is a multi-format data I/O package with a NetCDF-style interface
https://github.com/NCAR/pynio

Last synced: 2 months ago
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PyNIO is a multi-format data I/O package with a NetCDF-style interface

• Host: GitHub
• URL: https://github.com/NCAR/pynio
• Owner: NCAR
• License: apache-2.0
• Created: 2015-08-28T21:03:39.000Z (over 9 years ago)
• Default Branch: develop
• Last Pushed: 2024-02-26T18:09:26.000Z (11 months ago)
• Last Synced: 2024-08-03T15:05:19.241Z (6 months ago)
• Language: C
• Homepage: http://www.pyngl.ucar.edu/Nio.shtml
• Size: 12.8 MB
• Stars: 111
• Watchers: 27
• Forks: 37
• Open Issues: 41
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-atmos - PyNio - format data I/O package with a NetCDF-style interface (Data Processing/Anslysis)

README

        
# PyNIO

> [!WARNING]

> **PyNIO was placed in maintenance mode as of November of 2020.** You can find more details in the [full announcement here](https://geocat.ucar.edu/blog/2020/11/11/November-2020-update).

PyNIO ("pie-nee-oh") is a Python module that allows read and/or write access to a variety of scientific data formats popular in climate and weather:

 * NetCDF3 / NetCDF4

 * GRIB1 / GRIB2

 * HDF4 

 * HDF-EOS2

 * HDF-EOS5

 * Shapefile

PyNIO has a data model interface that is modeled on the [NetCDF](https://www.unidata.ucar.edu/software/netcdf/) data model.

PyNIO is developed by the [Computational and Information Systems Lab](https://www2.cisl.ucar.edu) at the [National Center for Atmospheric Research](https://ncar.ucar.edu) (NCAR).

NCAR is sponsored by the [National Science Foundation](https://www.nsf.gov). Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the National Science Foundation.

# Installation

PyNIO can be installed on Linux and MacOS systems via [conda](https://conda.io/docs/):

```

conda create --name pyn_env --channel conda-forge pynio

source activate pyn_env

```

# Documentation and support

PyNIO is currently documented as part of the [PyNGL website](http://www.pyngl.ucar.edu).

* [PyNIO documentation](http://www.pyngl.ucar.edu/Nio.shtml)

* [PyNGL gallery](http://www.pyngl.ucar.edu/Examples/gallery.shtml) (includes PyNIO examples)

* [Email list support](http://www.pyngl.ucar.edu/User_forum/)

* [Detailed download and installation instructions](http://www.pyngl.ucar.edu/Download/)

# Bug reports and feature requests

Use the GitHub [issue tracker](https://github.com/NCAR/pynio/issues) to submit a bug or request.