- 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 documentation — Matplotlib 3. 10. 7 documentation
Cheatsheets Matplotlib 3 10 7 documentation # Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations Install # pip pip install matplotlib conda conda install -c conda-forge matplotlib pixi uv other Learn # How to use Matplotlib? Quick start guide User guide Tutorials Frequently Asked Questions What
- Examples — Matplotlib 3. 10. 7 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. 7 documentation
If you are using Python from https: www python org, Homebrew, or Macports, then you can use the standard pip installer to install Matplotlib binaries in the form of wheels
- Tutorials — Matplotlib 3. 10. 7 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
- Getting started — Matplotlib 3. 10. 7 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
- Plot types — Matplotlib 3. 10. 7 documentation
Plot types # Overview of many common plotting commands provided by Matplotlib See the gallery for more examples and the tutorials page for longer examples
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