Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.

Matplotlib 3.10.7 documentation # Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Install #

Examples # For an overview of the plotting methods we provide, see Plot types This page contains example plots. Click on any image to see the full image and source code. For longer …

Pyplot tutorial # An introduction to the pyplot interface. Please also see Quick start guide for an overview of how Matplotlib works and Matplotlib Application Interfaces (APIs) for an …

Figures and backends Introduction to figures Output backends Matplotlib Application Interfaces (APIs) Interacting with figures Interactive figures and asynchronous programming Event …

(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.pyplot.plot # matplotlib.pyplot.plot(*args, scalex=True, scaley=True, data=None, **kwargs) [source] # Plot y versus x as lines and/or markers. Call signatures:

Plot types # Overview of many common plotting commands provided by Matplotlib. See the gallery for more examples and the tutorials page for longer examples.

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 …

List of named colors # This plots a list of the named colors supported by Matplotlib. For more information on colors in matplotlib see the Specifying colors tutorial; the matplotlib.colors API; …