Skip to main content

Python package for manipulating tabular data.

Project description

ubermagtable

Marijan Beg1,2, Martin Lang1, Ryan A. Pepper1, Thomas Kluyver2, and Hans Fangohr1,2,3

1 Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom
2 European XFEL GmbH, Holzkoppel 4, 22869 Schenefeld, Germany
3 Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, 22761 Hamburg, Germany

Description Badge
Tests workflow
conda
Releases PyPI version
Anaconda-Server Badge
Coverage codecov
Documentation Documentation Status
YouTube YouTube
Binder Binder
Platforms Platforms
Downloads Downloads
License License
DOI DOI

About

ubermagtable is a Python package providing:

  • reading scalar data files (OOMMF .odt and mumax3 .txt),

  • merging multiple tables, and

  • visualisation of scalar table data.

It is available on Windows, MacOS, and Linux. It requires Python 3.8+.

Documentation

APIs and tutorials are available in the documentation. To access the documentation, use the badge in the table above.

Installation, testing, and upgrade

We recommend installation using conda package manager. Instructions can be found in the documentation.

Binder

This package can be used in the cloud via Binder. To access Binder, use the badge in the table above.

YouTube

YouTube video tutorials are available on the Ubermag channel.

Support

If you require support, have questions, want to report a bug, or want to suggest an improvement, please raise an issue in ubermag/help repository.

Contributions

All contributions are welcome, however small they are. If you would like to contribute, please fork the repository and create a pull request. If you are not sure how to contribute, please contact us by raising an issue in ubermag/help repository, and we are going to help you get started and assist you on the way.

Contributors:

License

Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the LICENSE file.

How to cite

  1. M. Beg, R. A. Pepper, and H. Fangohr. User interfaces for computational science: A domain specific language for OOMMF embedded in Python. AIP Advances 7, 56025 (2017).

  2. M. Beg, R. A. Pepper, M. Lang, T. Kluyver, and H. Fangohr. ubermagtable: Python package for manipulating tabular data. DOI: 10.5281/zenodo.3539492 (2021).

Acknowledgements

  • OpenDreamKit – Horizon 2020 European Research Infrastructure project (676541)

  • EPSRC Programme Grant on Skyrmionics (EP/N032128/1)

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

ubermagtable-0.5.tar.gz (165.4 kB view details)

Uploaded Source

Built Distribution

ubermagtable-0.5-py3-none-any.whl (180.4 kB view details)

Uploaded Python 3

File details

Details for the file ubermagtable-0.5.tar.gz.

File metadata

  • Download URL: ubermagtable-0.5.tar.gz
  • Upload date:
  • Size: 165.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0.post20201207 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.5

File hashes

Hashes for ubermagtable-0.5.tar.gz
Algorithm Hash digest
SHA256 a47dfd720f1ac43568a6530af61bda34dd6d8eb1af5b8fec559ed219eedd6643
MD5 321c0595d71d0c9477521025a5e8124f
BLAKE2b-256 bd09aefd90ae30365f29e301a71c68d8b160f037a7f2bc063b6764005fd3cd3e

See more details on using hashes here.

File details

Details for the file ubermagtable-0.5-py3-none-any.whl.

File metadata

  • Download URL: ubermagtable-0.5-py3-none-any.whl
  • Upload date:
  • Size: 180.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0.post20201207 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.5

File hashes

Hashes for ubermagtable-0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 60ab1b9da333248330445c178a5089b8045354f85917940f70c008a02ad2583c
MD5 9b50845918691b9c28adb26f767d2438
BLAKE2b-256 4b4183e82859caf74317892cd9112fe54acec31f45ee9f04c8570368708c6787

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page