Matplotlib 3.10.8 documentation # Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Install #

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

Using Matplotlib # Quick start guide A simple example Parts of a Figure Types of inputs to plotting functions Coding styles Styling Artists Labelling plots Axis scales and ticks Color mapped data …

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 explanation of the trade …

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 …

The explicit object-oriented API is recommended for complex plots, though pyplot is still usually used to create the figure and often the Axes in the figure. See pyplot.figure, pyplot.subplots, and …

API Reference # Matplotlib interfaces # Matplotlib has two interfaces. See Matplotlib Application Interfaces (APIs) for a more detailed description of both and their recommended use cases.

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 …

(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 …

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