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* [Plot types](https://matplotlib.org/stable/plot_types/index)
* [User guide](https://matplotlib.org/stable/users/index)
* [Tutorials](https://matplotlib.org/stable/tutorials/index)
* [Examples](https://matplotlib.org/stable/gallery/index)
* [Reference](https://matplotlib.org/stable/api/index)
* [Contribute](https://matplotlib.org/stable/devel/index)
* [Releases](https://matplotlib.org/stable/users/release_notes)
* [Gitter](https://gitter.im/matplotlib/matplotlib)
* [Discourse](https://discourse.matplotlib.org)
* [GitHub](https://github.com/matplotlib/matplotlib)
* [Twitter](https://twitter.com/matplotlib/)
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](https://ieeexplore.ieee.org/document/4160265/citations?tabFilter=papers).
* Make [interactive figures](https://mybinder.org/v2/gh/matplotlib/mpl-brochure-binder/main?labpath=MatplotlibExample.ipynb) that can zoom, pan, update.
* Customize [visual style](https://matplotlib.org/stable/gallery/style_sheets/style_sheets_reference.html) and [layout](https://matplotlib.org/stable/tutorials/provisional/mosaic.html).
* Export to [many file formats](https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure.savefig).
* Embed in [JupyterLab and Graphical User Interfaces](https://matplotlib.org/stable/gallery/#embedding-matplotlib-in-graphical-user-interfaces).
* Use a rich array of [third-party packages](https://matplotlib.org/mpl-third-party/) built on Matplotlib.
[Try Matplotlib (on Binder)](https://mybinder.org/v2/gh/matplotlib/mpl-brochure-binder/main?labpath=MatplotlibExample.ipynb)
[
step(x, y)
](https://matplotlib.org/stable/plot_types/basic/step.html)
* [Getting Started](https://matplotlib.org/stable/users/getting_started/)
* [Examples](https://matplotlib.org/stable/plot_types/index.html)
* [Reference](https://matplotlib.org/stable/index.html)
* [Cheat Sheets](https://matplotlib.org/cheatsheets/)
* [Documentation](https://matplotlib.org/stable/index.html)
### News[#](#news "Permalink to news section")
##### May 30, 2024
[GSOC 2024: Bivariate Colormaps](https://discourse.matplotlib.org/t/gsoc-2024-announcement/24469)
A warm welcome to Trygve Magnus Ræder, who is working on [bivariate colormapping](https://trygvrad.github.io/google-soc-bivariate-colormaps/).
##### May 16, 2024
[Matplotlib 3.9.0 Released](https://discourse.matplotlib.org/t/matplotlib-announce-ann-matplotlib-3-9-0/24444)
We thank the 175 authors for the 450 pull requests that comprise the 3.9.0 release.
[Older Announcements](https://discourse.matplotlib.org/c/announce/14)
### Resources[#](#resources "Permalink to resources section")
Be sure to check the [Users guide](https://matplotlib.org/stable/users/index.html) and the [API docs](https://matplotlib.org/stable/api/index.html). The full text [search](https://matplotlib.org/stable/search.html) is a good way to discover the docs including the many examples.
Join our community at [discourse.matplotlib.org](https://discourse.matplotlib.org) to get help, share your work, and discuss contributing & development.
Check out the Matplotlib tag on [StackOverflow](https://stackoverflow.com/questions/tagged/matplotlib).
Meet us at our monthly call for new contributors to the Matplotlib project. Subscribe to our [community calendar](https://scientific-python.org/calendars/) at Scientific Python to get access to all our community meetings.
Short questions related to contributing to Matplotlib may be posted on the [gitter](https://gitter.im/matplotlib/matplotlib) channel.
### Domain Specific Tools[#](#domain-specific-tools "Permalink to domain specific tools section")
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](https://matplotlib.org/mpl-third-party/)
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](https://seaborn.pydata.org/)
### Cartopy
Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.
[Cartopy](https://scitools.org.uk/cartopy/docs/latest/)
### 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](https://github.com/Edinburgh-Genome-Foundry/DnaFeaturesViewer)
### 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](https://plotnine.readthedocs.io/en/stable/)
### WCSAxes
WCSAxes is a framework for making plots of Astronomical data in Matplotlib.
[WCSAxes](https://docs.astropy.org/en/stable/visualization/wcsaxes/)
Support Matplotlib[#](#support "Permalink to support Matplotlib section")
-------------------------------------------------------------------------
* #### Contribute
Matplotlib is a community project maintained for and by its users
You can help by answering questions [on discourse](https://discourse.matplotlib.org), reporting a bug or requesting a feature [on GitHub](https://github.com/matplotlib/matplotlib/issues), or improving the [documentation and code](https://matplotlib.org/stable/devel/index.html)!
[Join us on Discourse](https://discourse.matplotlib.org) [Join us on GitHub](https://github.com/matplotlib/matplotlib)
* #### Cite
Matplotlib is the result of development efforts by John Hunter (1968–2012) and the project's [many contributors](https://matplotlib.org/stable/project/credits.html).
If Matplotlib contributes to a project that leads to a scientific publication, please acknowledge this work by citing the project!
[Ready made citation](https://matplotlib.org/stable/project/citing.html)
* #### Donate
If you would like to support Matplotlib financially you can donate by [sponsoring Matplotlib on GitHub](https://github.com/sponsors/matplotlib) or making a (USA) tax-deductible donation [through NumFOCUS](https://numfocus.org/donate-to-matplotlib).
[Sponsor on GitHub](https://github.com/sponsors/matplotlib) [Donate to Matplotlib](https://numfocus.org/donate-to-matplotlib)