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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
- Matplotlib documentation — Matplotlib 3. 10. 8 documentation
Matplotlib 3 10 8 documentation # Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations Install #
- Examples — Matplotlib 3. 10. 8 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
- Tutorials — Matplotlib 3. 10. 8 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. 8 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
- Installation — Matplotlib 3. 10. 8 documentation
Matplotlib is part of major Python distributions: Anaconda ActiveState ActivePython WinPython Linux package manager # If you are using the Python version that comes with your Linux distribution, you can install Matplotlib via your package manager, e g : Debian Ubuntu: sudo apt-get install python3-matplotlib Fedora: sudo dnf install python3
- Quick start guide — Matplotlib 3. 10. 8 documentation
Quick start guide # This tutorial covers some basic usage patterns and best practices to help you get started with Matplotlib
- matplotlib. pyplot. plot — Matplotlib 3. 10. 8 documentation
If the color is the only part of the format string, you can additionally use any matplotlib colors spec, e g full names ('green') or hex strings ('#008000') Examples using matplotlib pyplot plot #
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