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  * Plot types
  * User guide
  * Tutorials
  * Examples
  * Reference
  * Contribute
  * Releases

  * Gitter
  * Discourse
  * GitHub
  * Twitter

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#

Sept 15, 2023

Successful GSOC 2023

Thanks to Ratnabali Dutta's successful completion of GSOC, we have a
number of Mathtext improvements.

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?

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 Cartopy DNA Features Viewer plotnine WCS Axes

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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