Skip to main content

Reading and writing of data on regular grids in Python

Project description

Github Actions Build Status Coverage Status Documentation Zenodo DOI Anaconda

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

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.

Project details


Download files

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

Source Distribution

griddataformats-1.2.0.tar.gz (5.6 MB view details)

Uploaded Source

Built Distribution

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

griddataformats-1.2.0-py3-none-any.whl (5.6 MB view details)

Uploaded Python 3

File details

Details for the file griddataformats-1.2.0.tar.gz.

File metadata

  • Download URL: griddataformats-1.2.0.tar.gz
  • Upload date:
  • Size: 5.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for griddataformats-1.2.0.tar.gz
Algorithm Hash digest
SHA256 6aec0c1cebf4373b5f59adc8f35a79037ab2ed970cae8f0eb1924724884fc45d
MD5 84334c47a593fbf0c6df16f0104ef526
BLAKE2b-256 38fe88e45cab2503323dfa702c768114c3b5604f034c2ace14ac48e48461d68c

See more details on using hashes here.

Provenance

The following attestation bundles were made for griddataformats-1.2.0.tar.gz:

Publisher: deploy.yaml on MDAnalysis/GridDataFormats

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file griddataformats-1.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for griddataformats-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b42f0a823ce6f526c0052515047237b233748f2bdc38fc797fc37c7df81a8dd5
MD5 e97093dd2d641f1e6b9df38033bef51c
BLAKE2b-256 2c279768d918c86ad720ea805ce21cb7ae33ab77e8ca92486ff3c2af5dd5e60b

See more details on using hashes here.

Provenance

The following attestation bundles were made for griddataformats-1.2.0-py3-none-any.whl:

Publisher: deploy.yaml on MDAnalysis/GridDataFormats

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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