Quick start guide # This tutorial covers some basic usage patterns and best practices to help you get started with 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 Working with multiple Figures …

Cheatsheets Matplotlib 3.10.8 documentation # Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Install # pip pip install matplotlib conda conda install -c …

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 …

(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 …

Please also see Quick start guide for an overview of how Matplotlib works and Matplotlib Application Interfaces (APIs) for an explanation of the trade-offs between the supported user APIs.

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 plots. …

Matplotlib interfaces # Matplotlib has two interfaces. See Matplotlib Application Interfaces (APIs) for a more detailed description of both and their recommended use cases. Axes interface (object-based, …

Usage Guide ¶ This tutorial covers some basic usage patterns and best practices to help you get started with Matplotlib.

This legend guide extends the legend docstring - please read it before proceeding with this guide. This guide makes use of some common terms, which are documented here for clarity: