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- 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
- Matplotlib 3. 10. 3 documentation
For more detailed instructions, see the installation guide Learn # How to use Matplotlib?
- Pyplot tutorial — Matplotlib 3. 10. 3 documentation
Please also see Quick start guide for an overview of how Matplotlib works and Matplotlib Application Interfaces (APIs) for an explanation of the trade-offs between the supported user APIs
- Getting started — Matplotlib 3. 10. 3 documentation
(Source code, 2x png, png) If a plot does not show up please check Troubleshooting Where to go next # Check out Plot types to get an overview of the types of plots you can create with Matplotlib Learn Matplotlib from the ground up in the Quick-start guide
- Tutorials — Matplotlib 3. 10. 3 documentation
Tutorials # This page contains a few tutorials for using Matplotlib For the old tutorials, see below For shorter examples, see our examples page You can also find external resources and a FAQ in our user guide
- Quick start guide — Matplotlib 3. 10. 3 documentation
Matplotlib can handle plotting arrays of dates and arrays of strings, as well as floating point numbers These get special locators and formatters as appropriate
- Examples — Matplotlib 3. 10. 3 documentation
Currently Matplotlib supports PyQt PySide, PyGObject, Tkinter, and wxPython When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab pyplot procedural interface, so take a look at the examples api directory for some example code working with the API
- Installation — Matplotlib 3. 10. 3 documentation
If you would like to contribute to Matplotlib or otherwise need to install the latest development code, please follow the instructions in Setting up Matplotlib for development
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