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GeezerVison is showing matplotlib.org — Matplotlib — Visualization with Python

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.

  • Create publication quality plots.
  • Make interactive figures that can zoom, pan, update.
  • Customize visual style and layout.
  • Export to many file formats.
  • Embed in JupyterLab and Graphical User Interfaces.
  • Use a rich array of third-party packages built on Matplotlib.
Try Matplotlib (on Binder)
  • computer desktop icon Getting Started
  • folder icon Examples
  • documentation book icon Reference
  • cheatsheet icon Cheat Sheets
  • matplotlib logo icon Documentation

News#

Jun 11, 2026
Matplotlib 3.11.0 Released

We thank the 246 authors for the 936 pull requests that comprise the 3.11.0 release.

Dec 13, 2024
Matplotlib 3.10.0 Released

We thank the 128 authors for the 337 pull requests that comprise the 3.10.0 release.

May 30, 2024
GSOC 2024: Bivariate Colormaps

A warm welcome to Trygve Magnus Ræder, who is working on bivariate colormapping.

May 16, 2024
Matplotlib 3.9.0 Released

We thank the 175 authors for the 450 pull requests that comprise the 3.9.0 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 on the forum and in chats.

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.

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

Cartopy

Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.

Cartopy

DNA Features Viewer

DNA Features Viewer is a Python library to visualize DNA features, e.g. from GenBank or Gff files, or Biopython SeqRecords.

DNA Features Viewer

plotnine

plotnine is an implementation of a grammar of graphics in Python. The grammar allows users to compose plots by explicitly mapping data to the visual objects that make up the plot.

plotnine

WCSAxes

WCSAxes is a framework for making plots of Astronomical data in Matplotlib.

WCSAxes

Support Matplotlib#

  • Contribute

    Matplotlib is a community project maintained for and by its users

    You can help by answering questions on discourse, reporting a bug or requesting a feature on GitHub, or improving the documentation and code!

    Join us on Discourse Join us on GitHub

  • Cite

    Matplotlib is the result of development efforts by John Hunter (1968–2012) and the project's many contributors.

    If Matplotlib contributes to a project that leads to a scientific publication, please acknowledge this work by citing the project!

    Ready made citation

  • Donate

    If you would like to support Matplotlib financially you can donate by sponsoring Matplotlib on GitHub or making a (USA) tax-deductible donation through NumFOCUS.

    Sponsor on GitHub Donate to Matplotlib
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