- 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
- 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
- Matplotlib 3. 10. 3 documentation
Cheatsheets Matplotlib 3 10 3 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 For more detailed instructions, see the installation guide Learn # How to use Matplotlib? Quick start
- 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
- 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
- Using Matplotlib — Matplotlib 3. 10. 3 documentation
Customizing Matplotlib with style sheets and rcParams Runtime rc settings Using style sheets The matplotlibrc file
- Quick start guide — Matplotlib 3. 10. 3 documentation
Matplotlib graphs your data on Figure s (e g , windows, Jupyter widgets, etc ), each of which can contain one or more Axes, an area where points can be specified in terms of x-y coordinates (or theta-r in a polar plot, x-y-z in a 3D plot, etc )
- Installation — Matplotlib 3. 10. 3 documentation
One convenient way to install Matplotlib with other useful Python software is to use the Anaconda Python scientific software collection, which includes Python itself and a wide range of libraries; if you need a library that is not available from the collection, you can install it yourself using standard methods such as pip
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