Matplotlib: Visualization with Python¶
+Matplotlib is a comprehensive library for creating static, animated, +and interactive visualizations in Python.
+ +
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+ 
+ 
+ Matplotlib makes easy things easy and hard things possible.
+Create
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- Develop publication quality plots with just a few lines of code +
- Use interactive figures that can zoom, pan, update... +
Customize
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- Take full control of line styles, font properties, axes properties... +
- Export and embed to a number of file formats and interactive environments +
Extend
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- Explore tailored functionality provided by +third party packages +
- Learn more about Matplotlib through the many +external learning resources +
Documentation¶
+To get started, read the + User's Guide.
+Trying to learn how to do a particular kind of plot? Check out the +examples gallery or the list of plotting commands.
+Join our community!¶
+Matplotlib is a welcoming, inclusive project, and we follow the Python +Software Foundation Code of Conduct in everything we do.
+Get help
+
+ Join our community at discourse.matplotlib.org + to get help, discuss contributing & development, and share your work.
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+ If you have questions, be sure to check the FAQ, + the API docs. The full text + search is a good way to discover the docs including the many examples.
+
+ Check out the Matplotlib tag on stackoverflow.
+
+ Short questions may be posted on the gitter channel.
++
News
+
+ To keep up to date with what's going on in Matplotlib, see the + what's new page or browse the + source code. Anything that could + require changes to your existing code is logged in the + API changes file.
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+ -
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- Tweet us at @matplotlib! +
- See cool plots on @matplotart Instagram! +
- Check out our Blog! +
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Development
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+ Matplotlib is hosted on GitHub.
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- File bugs and feature requests on the issue tracker. +
- Pull requests are always welcome. +
It is a good idea to ping us on Discourse as well.
+
+ Mailing lists
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- matplotlib-users for usage questions +
- matplotlib-devel for development +
- matplotlib-announce for project announcements +
Toolkits¶
+Matplotlib ships with several add-on toolkits,
+including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis
+helpers in axisartist.
Third party packages¶
+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).
+Citing Matplotlib¶
+Matplotlib is the brainchild of John Hunter (1968-2012), who, along with its +many contributors, have put an immeasurable amount of time and effort into +producing a piece of software utilized by thousands of scientists worldwide.
+If Matplotlib contributes to a project that leads to a scientific publication, +please acknowledge this work by citing the project. A ready-made citation +entry is available.
+Open source¶
+ +
+Matplotlib is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit +charity in the United States. NumFOCUS provides Matplotlib with +fiscal, legal, and administrative support to help ensure the health +and sustainability of the project. Visit numfocus.org for more +information.
+Donations to Matplotlib are managed by NumFOCUS. For donors in the +United States, your gift is tax-deductible to the extent provided by +law. As with any donation, you should consult with your tax adviser +about your particular tax situation.
+Please consider donating to the Matplotlib project through +the NumFOCUS organization or to the John Hunter Technology Fellowship.
+The Matplotlib license is based on the Python Software +Foundation (PSF) license.
+There is an active developer community and a long list of people who have made +significant contributions.
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