
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 …
Matplotlib documentation — Matplotlib 3.10.3 documentation
Matplotlib 3.10.3 documentation # Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Install #
Pyplot tutorial — Matplotlib 3.10.3 documentation
matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a …
Using Matplotlib — Matplotlib 3.10.3 documentation
Customizing Matplotlib with style sheets and rcParams Runtime rc settings Using style sheets The matplotlibrc file
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 …
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 …
Installation — Matplotlib 3.10.3 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 3.10.3 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 …
matplotlib.pyplot — Matplotlib 3.10.3 documentation
matplotlib.pyplot # matplotlib.pyplot is a state-based interface to matplotlib. It provides an implicit, MATLAB-like, way of plotting. It also opens figures on your screen, and acts as the figure GUI …
Matplotlib cheatsheets — Visualization with Python
Contribute # Issues, suggestions, or pull-requests gratefully accepted at matplotlib/cheatsheets