Skip to main content

Matplotlib aware interact functions

Project description

mpl_interactions

All Contributors

Supported Python versions Documentation StatusBinder (Warning: The interactions will be laggy when on binder)

Welcome!

mpl_interactions' library provides helpful ways to interact with Matplotlib plots. Full narrative documentation and example can be found on ReadtheDocs.

Installation

pip install mpl_interactions["jupyter"] # will install necessary deps for using in jupyter

# for use only outside of jupyter:
pip install mpl_interactions

If you use JupyterLab, make sure you follow the full instructions in the ipympl readme in particular installing jupyterlab-manager.

Contributing / feature requests / roadmap

I use the GitHub issues to keep track of ideas I have, so looking through those should serve as a roadmap of sorts. For the most part I add to the library when I create a function that is useful for the science I am doing. If you create something that seems useful a PR would be most welcome so we can share it easily with more people. I'm also open to feature requests if you have an idea.

Documentation

The fuller narrative documentation can be found on ReadTheDocs. You may also find it helpful to check out the examples directory.

Contributors ✨

Thanks goes to these wonderful people (emoji key):


Ian Hunt-Isaak

💻

Sam

📖

Jenny Coulter

📓

Sabina Haque

📖 📓 💻

John Russell

💻 📓 📖

Max Shinn

💻 📓

Kevin Dalton

📓

This project follows the all-contributors specification. Contributions of any kind welcome!

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

mpl_interactions-0.17.9.tar.gz (36.4 MB view details)

Uploaded Source

Built Distribution

mpl_interactions-0.17.9-py3-none-any.whl (43.1 kB view details)

Uploaded Python 3

File details

Details for the file mpl_interactions-0.17.9.tar.gz.

File metadata

  • Download URL: mpl_interactions-0.17.9.tar.gz
  • Upload date:
  • Size: 36.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for mpl_interactions-0.17.9.tar.gz
Algorithm Hash digest
SHA256 efa060eaf92163f686786788ade90d6b7a3b64dad73319d6dd38817f916211a5
MD5 f4f48f7ee1e0d7645d90228373677816
BLAKE2b-256 56c3ac1f861c8cdfec8b82f1802968146df59d3f4763addc4fa26ec9450d50e3

See more details on using hashes here.

File details

Details for the file mpl_interactions-0.17.9-py3-none-any.whl.

File metadata

  • Download URL: mpl_interactions-0.17.9-py3-none-any.whl
  • Upload date:
  • Size: 43.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for mpl_interactions-0.17.9-py3-none-any.whl
Algorithm Hash digest
SHA256 1f5f50bdce851a498f580ef587c0e4fe6a4356b6775b6702743893c4effbb473
MD5 fe999b15a3ea1ff4e20306eb984ad196
BLAKE2b-256 74500cbfe744515e881c7c525e2eec25c6b67870b43b4c01481a6c3caa17f986

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