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  • Plot types
  • Examples
  • Tutorials
  • Reference
  • User guide
  • Develop
  • Release notes
  • Plot types
  • Examples
  • Tutorials
  • Reference
  • User guide
  • Develop
  • Release notes

Section Navigation

  • Introductory
    • Quick start guide
    • Pyplot tutorial
    • Image tutorial
    • The Lifecycle of a Plot
    • Customizing Matplotlib with style sheets and rcParams
  • Intermediate
    • Artist tutorial
    • Legend guide
    • Styling with cycler
    • Constrained Layout Guide
    • Tight Layout guide
    • Arranging multiple Axes in a Figure
    • Autoscaling
    • origin and extent in imshow
  • Advanced
    • Faster rendering by using blitting
    • Path Tutorial
    • Path effects guide
    • Transformations Tutorial
  • Colors
    • Specifying Colors
    • Customized Colorbars Tutorial
    • Creating Colormaps in Matplotlib
    • Colormap Normalization
    • Choosing Colormaps in Matplotlib
  • Provisional
    • Complex and semantic figure composition
  • Text
    • Text in Matplotlib Plots
    • Text properties and layout
    • Annotations
    • Writing mathematical expressions
    • Text rendering with XeLaTeX/LuaLaTeX via the pgf backend
    • Text rendering with LaTeX
  • Toolkits
    • Overview of mpl_toolkits.axes_grid1
    • Overview of axisartist toolkit
    • The mplot3d Toolkit

Toolkits#

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

Overview of :mod:`mpl_toolkits.axes_grid1`

Overview of mpl_toolkits.axes_grid1

Overview of :mod:`mpl_toolkits.axes_grid1`
Overview of axisartist toolkit

Overview of axisartist toolkit

Overview of axisartist toolkit
The mplot3d Toolkit

The mplot3d Toolkit

The mplot3d Toolkit

© Copyright 2002–2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 2012–2022 The Matplotlib development team.

Created using Sphinx 5.2.1.