Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.
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- Make interactive figures that can zoom, pan, update.
- Customize visual style and layout.
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- Embed in JupyterLab and Graphical User Interfaces.
- Use a rich array of third-party packages built on Matplotlib.
News
February 17, 2022
Matplotlib is hiring!We are happy to post the 3-year Research Software Engineer position funded by the NASA ROSES-OSTFL 2020 grant. See Vintage Coleman Lantern 236 Sunrise of the Night & Original Meta and submit an application via TypeForm.
December 11, 2021
Matplotlib 3.5.1 ReleasedSeptember 15, 2021
Matplotlib selected for NASA ROSES fundingSeptember 9, 2021
Matplotlib awarded a CZI EOSS Cycle 4 grantResources
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.
Short questions may be posted on the gitter channel.
Check out the Matplotlib tag on stackoverflow.
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 Toolsseaborn
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 visualizationCartopy
Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.
CartopyDNA Features Viewer
DNA Features Viewer is a Python library to visualize DNA features, e.g. from GenBank or Gff files, or Biopython SeqRecords.
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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.
plotnineWCSAxes
WCSAxes is a framework for making plots of Astronomical data in Matplotlib.
WCSAxesSupport Matplotlib
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Contribute
Matplotlib is a community project maintained for and by its users
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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!
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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