The GridDataFormats package provides classes to unify reading and writing n-dimensional datasets. One can read grid data from files, make them available as a Grid object, and write out the data again.
Availability
The package is licensed under the LGPL, v3 (see files COPYING and COPYING.LESSER) and is available
from the Python Package Index under the name GridDataFormats
as a conda package from the conda-forge channel, conda-forge/griddataformats
in source from the GitHub repository https://github.com/MDAnalysis/GridDataFormats
Installation
Installing GridDataFormats with pip
Install with pip:
pip install gridDataFormats
Installing GridDataFormats with conda
Installing GridDataFormats from the conda-forge channel can be achieved by adding “conda-forge” to your channels with:
conda config --add channels conda-forge
Once the conda-forge channel has been enabled, GridDataFormats can be installed with:
conda install griddataformats
Documentation
For the latest docs see the GridDataFormats docs. (Multiple versions of the docs are also available at griddataformats.readthedocs.org.)
Contributing
Please use the issue tracker for bugs and questions.
GridDataFormats is open source and contributions are welcome. Please fork the repository and submit a pull request.
Release files for GridDataFormats 1.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| griddataformats-1.2.0.tar.gz | 5.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| griddataformats-1.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.2 MB
Release files / griddataformats-1.2.0.tar.gz
| Download URL | griddataformats-1.2.0.tar.gz |
|---|---|
| Size | 5.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / griddataformats-1.2.0-py3-none-any.whl
| Download URL | griddataformats-1.2.0-py3-none-any.whl |
|---|---|
| Size | 5.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 23, 2026.
Transparency log