GridDataFormats

Reading and writing of data on regular grids in Python

These details have not been verified by PyPI

Project links

Project description

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
the GitHub repository https://github.com/MDAnalysis/GridDataFormats

Installation

Install with pip:

pip install gridDataFormats

Documentation

For the release docs see the GridDataFormats docs. (The latest docs are also always 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

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

1.0.2

Oct 21, 2023

1.0.1

May 25, 2022

1.0.0 yanked

May 21, 2022

Reason this release was yanked:

incorrect Python dependency specification, use 1.0.1 instead

0.7.0

Feb 21, 2022

0.6.0

Oct 10, 2021

0.5.0

May 16, 2019

0.4.1

Apr 6, 2019

0.4.0

Jan 17, 2018

0.3.3

May 13, 2016

0.3.2

Dec 12, 2015

0.3.1

Dec 8, 2015

This version

0.3.0

Sep 23, 2015

0.2.5

Jun 30, 2015

0.2.4

Mar 3, 2014

0.2.3

Feb 9, 2014

0.2.2

Jan 28, 2011

Download files

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

Source Distribution

GridDataFormats-0.3.0.tar.gz (41.2 kB view details)

Uploaded Sep 23, 2015 Source

Built Distributions

GridDataFormats-0.3.0-py3.4.egg (61.8 kB view details)

Uploaded Sep 23, 2015 Source

GridDataFormats-0.3.0-py2.py3-none-any.whl (31.1 kB view details)

Uploaded Sep 23, 2015 Python 2 Python 3

GridDataFormats-0.3.0-py2.7.egg (60.6 kB view details)

Uploaded Sep 23, 2015 Source

File details

Details for the file GridDataFormats-0.3.0.tar.gz.

File metadata

Download URL: GridDataFormats-0.3.0.tar.gz
Upload date: Sep 23, 2015
Size: 41.2 kB
Tags: Source
Uploaded using Trusted Publishing? No

File hashes

Hashes for GridDataFormats-0.3.0.tar.gz
Algorithm	Hash digest
SHA256	`16935a4a3b58849a38c83eb41493f76c85ea2885781506d598871427f21daa0a`
MD5	`9a3a7a70ba729f3c24c9310ce777e055`
BLAKE2b-256	`4b8527cf1ee7b5c4837d85121e805f489d762a24e247c3da6d72075459f8106f`

See more details on using hashes here.

Provenance

File details

Details for the file GridDataFormats-0.3.0-py3.4.egg.

File metadata

Download URL: GridDataFormats-0.3.0-py3.4.egg
Upload date: Sep 23, 2015
Size: 61.8 kB
Tags: Source
Uploaded using Trusted Publishing? No

File hashes

Hashes for GridDataFormats-0.3.0-py3.4.egg
Algorithm	Hash digest
SHA256	`5590108a153fe6df19ab5534b883d79be4a600fa228b5896e50e29894450337b`
MD5	`ec9b79c25bf05597b245f30a297a03b1`
BLAKE2b-256	`2559bf7b6ac10555d3434c433b75b4ae65abec1a0293720ec9432128487fe7eb`

See more details on using hashes here.

Provenance

File details

Details for the file GridDataFormats-0.3.0-py2.py3-none-any.whl.

File metadata

Download URL: GridDataFormats-0.3.0-py2.py3-none-any.whl
Upload date: Sep 23, 2015
Size: 31.1 kB
Tags: Python 2, Python 3
Uploaded using Trusted Publishing? No

File hashes

Hashes for GridDataFormats-0.3.0-py2.py3-none-any.whl
Algorithm	Hash digest
SHA256	`dfabd26790dc6ecdce39f69d569fd4e04bb042cfe1c3e816d413d293f1359f9c`
MD5	`be236920020ee27e5e34aedd8f4f53f9`
BLAKE2b-256	`38444725450845f75185fb1e71619a4b566157ebf6d3cd689753128ec0937359`

See more details on using hashes here.

Provenance

File details

Details for the file GridDataFormats-0.3.0-py2.7.egg.

File metadata

Download URL: GridDataFormats-0.3.0-py2.7.egg
Upload date: Sep 23, 2015
Size: 60.6 kB
Tags: Source
Uploaded using Trusted Publishing? No

File hashes

Hashes for GridDataFormats-0.3.0-py2.7.egg
Algorithm	Hash digest
SHA256	`0171372211b9096242ebac9c50df3a1f5a8a66642c3e0935b963ea45ada3566e`
MD5	`f883b062cc8f08141a1705c0b40cd878`
BLAKE2b-256	`9bf0562c7c8447094b66fa25658bcd09be6c2050f7f942ef5a70b9c742accbe0`