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 Ki Mobility Focus CR Manual Tilt-In-Space Reclining Wheelchair N 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.
News
November 15, 2021
Matplotlib 3.5.0 ReleasedHighlights include Christmas Wreath Storage Bag PE Woven Fabric Dustproof Round Red, post-colormaping resampling, and support for GTK4 and Qt6.
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September 15, 2021
Matplotlib selected for NASA ROSES fundingSeptember 9, 2021
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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.
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DNA Features Viewer is a Python library to visualize DNA features, e.g. from GenBank or Gff files, or Biopython SeqRecords.
DNA Features Viewerplotnine
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.
plotnineSupport Matplotlib
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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 gibraltar sg47 mlh perfect stamp cv
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