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Matplotlib: Visualization with Python

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.

Try Matplotlib (on Binder)

News#

May 30, 2023
Ratnabali Dutta chosen as GSOC contributor

Thanks to the Google Summer of Code (GSOC) program, Ratnabali Dutta joins us this summer to work on improving our mathematical typesetting module MathTex.

May 18, 2023
Eva Sibinga hired as GSOD Technical Writer

Thanks to funding from the Google Season of Docs (GSOD) program, Eva Sibinga will be joining us to work on cataloguing our gallery.

May 5, 2023
Fostering an Inclusive Culture: Call for Participation

How can we be better when it comes to diversity and inclusion?

Feburary 14, 2023
Matplotlib 3.7.0 Released We thank the 112 authors for the 427 pull requests that comprise the 3.7.0 release.
Older Announcements

Resources#

Be sure to check the Users guide and the API docs. The full text search is a good way to discover the docs including the many examples.

Join our community at discourse.matplotlib.org to get help, share your work, and discuss contributing & development.

Check out the Matplotlib tag on StackOverflow.

Meet us at our monthly call for new contributors to the Matplotlib project. Subscribe to our community calendar at Scientific Python to get access to all our community meetings.

Short questions related to contributing to Matplotlib may be posted on the gitter channel.

Domain Specific Tools#

A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).

More Domain-Specific Tools

seaborn

seaborn is a high level interface for drawing statistical graphics with Matplotlib. It aims to make visualization a central part of exploring and understanding complex datasets.

statistical data visualization

Support Matplotlib#