
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
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 …
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 …
Using Matplotlib — Matplotlib 3.10.8 documentation
Figures and backends Introduction to figures Output backends Matplotlib Application Interfaces (APIs) Interacting with figures Interactive figures and asynchronous programming Event …
Plot types — Matplotlib 3.10.8 documentation
Plot types # Overview of many common plotting commands provided by Matplotlib. See the gallery for more examples and the tutorials page for longer examples.
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.
API Reference — Matplotlib 3.10.8 documentation
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.
Installation — Matplotlib 3.10.8 documentation
If this command results in Matplotlib being compiled from source and there's trouble with the compilation, you can add --prefer-binary to select the newest version of Matplotlib for which …
Customizing Matplotlib with style sheets and rcParams
Customizing Matplotlib with style sheets and rcParams # Tips for customizing the properties and default styles of Matplotlib. There are three ways to customize Matplotlib: Setting rcParams at …