Skip to main content

Python package for definition, reading, and visualisation of finite-difference fields.

Project description

discretisedfield

Marijan Beg1,2, Martin Lang1, Ryan A. Pepper1, Thomas Kluyver1,2, 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 Build status
Releases PyPI version
Anaconda-Server Badge
Coverage codecov
Documentation Documentation Status
YouTube YouTube
Binder Binder
Platforms Platforms
Downloads Downloads
License License
DOI DOI

About

discretisedfield is a Python package, integrated with Jupyter, providing:

  • definition of finite-difference regions, meshes, lines, and fields,

  • analysis of finite-difference fields,

  • visualisation using matplotlib and k3d, and

  • manipulation of different file types (OVF, VTK, and HDF5).

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:

  • Sergii Mamedov (@sergii-mamedov), European XFEL, Germany
  • Natalie Downing (@gamdow), University of Southampton, United Kingdom
  • Min RK (@minrk), Simula Research Laboratory, Norway
  • Rebecca Carey (@rlc2v07), University of Southampton, United Kingdom

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, M. Lang, R. A. Pepper, T. Kluyver, and H. Fangohr. discretisedfield: Python package for the analysis and visualisation of finite-difference fields. DOI: 10.5281/zenodo.3539461 (2020).

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

discretisedfield-0.8.14.tar.gz (1.9 MB view details)

Uploaded Source

Built Distribution

discretisedfield-0.8.14-py3-none-any.whl (1.9 MB view details)

Uploaded Python 3

File details

Details for the file discretisedfield-0.8.14.tar.gz.

File metadata

  • Download URL: discretisedfield-0.8.14.tar.gz
  • Upload date:
  • Size: 1.9 MB
  • 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/4.55.0 CPython/3.8.5

File hashes

Hashes for discretisedfield-0.8.14.tar.gz
Algorithm Hash digest
SHA256 ed5692df8395d0a1a635b02115c48d30cf4dfc88674500cd399eeb517aaa535e
MD5 4984d245ae3beef6bb240bec94f661d4
BLAKE2b-256 9b3e8f8f44a6d91db59c1f1dffb5effd0ce50b53c69e20a993ea71eeeed7cfb3

See more details on using hashes here.

File details

Details for the file discretisedfield-0.8.14-py3-none-any.whl.

File metadata

  • Download URL: discretisedfield-0.8.14-py3-none-any.whl
  • Upload date:
  • Size: 1.9 MB
  • 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/4.55.0 CPython/3.8.5

File hashes

Hashes for discretisedfield-0.8.14-py3-none-any.whl
Algorithm Hash digest
SHA256 43e7f727651319fd76caaa97da377c6c00746654cc9e618720b918247e1560e7
MD5 41640c5b76040209e9fb158eca7b05ab
BLAKE2b-256 ae90121efa6553ce7195cc959b90e35d6e6f6ff5925e7f8ff19ce4010034cf37

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