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# Tutorials

This page contains more in-depth guides for using Matplotlib. It is broken up into beginner, intermediate, and advanced sections, as well as sections covering specific topics.

For shorter examples, see our examples page. You can also find external resources and a FAQ in our user guide.

# Introductory

These tutorials cover the basics of creating visualizations with Matplotlib, as well as some best-practices in using the package effectively.

Sample plots in Matplotlib

Customizing matplotlib

Image tutorial

Usage Guide

Pyplot tutorial

The Lifecycle of a Plot

# Intermediate

These tutorials cover some of the more complicated classes and functions in Matplotlib. They can be useful for particular custom and complex visualizations.

Legend guide

Artist tutorial

Customizing Location of Subplot Using GridSpec

Tight Layout guide

# Advanced

These tutorials cover advanced topics for experienced Matplotlib users and developers.

Path effects guide

Path Tutorial

Transformations Tutorial

# Colors

Matplotlib has support for visualizing information with a wide array of colors and colormaps. These tutorials cover the basics of how these colormaps look, how you can create your own, and how you can customize colormaps for your use case.

For even more information see the examples page.

Specifying Colors

Customized Colorbars Tutorial

Colormap Normalization

Colormaps in Matplotlib

# Text

matplotlib has extensive text support, including support for mathematical expressions, truetype support for raster and vector outputs, newline separated text with arbitrary rotations, and unicode support. These tutorials cover the basics of working with text in Matplotlib.

Writing mathematical expressions

Annotations

Typesetting With XeLaTeX/LuaLaTeX

Text rendering With LaTeX

Text introduction

Text properties and layout

# Toolkits

These tutorials cover toolkits designed to extend the functionality of Matplotlib in order to accomplish specific goals.

Overview of axes_grid1 toolkit

The mplot3d Toolkit

Overview of axisartist toolkit

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