`); Plot typesUser guideTutorialsExamplesReferenceContributeReleases GitterGitter DiscourseDiscourse GitHubGitHub TwitterTwitterPlot typesUser guideTutorialsExamplesReferenceContributeReleases GitterGitter DiscourseDiscourse GitHubGitHub TwitterTwitterSection NavigationQuick start guideFrequently Asked QuestionsFigures and backendsIntroduction to figuresOutput backendsMatplotlib Application Interfaces (APIs)Interacting with figuresInte..." />`); Plot typesUser guideTutorialsExamplesReferenceContributeReleases GitterGitter DiscourseDiscourse GitHubGitHub TwitterTwitterPlot typesUser guideTutorialsExamplesReferenceContributeReleases GitterGitter DiscourseDiscourse GitHubGitHub TwitterTwitterSection NavigationQuick start guideFrequently Asked QuestionsFigures and backendsIntroduction to figuresOutput backendsMatplotlib Application Interfaces (APIs)Interacting with figuresInte..." /> User Toolkits — Matplotlib 3.10.9 documentation
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Matplotlib 3.10.9 documentation - Home
  • Plot types
  • User guide
  • Tutorials
  • Examples
  • Reference
  • Contribute
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  • Gitter
  • Discourse
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  • Plot types
  • User guide
  • Tutorials
  • Examples
  • Reference
  • Contribute
  • Releases
  • Gitter
  • Discourse
  • GitHub
  • Twitter

Section Navigation

  • Quick start guide
  • Frequently Asked Questions
  • Figures and backends
    • Introduction to figures
    • Output backends
    • Matplotlib Application Interfaces (APIs)
    • Interacting with figures
    • Interactive figures and asynchronous programming
    • Event handling
    • Writing a backend -- the pyplot interface
  • Axes and subplots
    • Introduction to Axes (or Subplots)
    • Arranging multiple Axes in a Figure
    • Placing colorbars
    • Autoscaling axes
    • Axis scales
    • Axis ticks
    • Plotting dates and strings
    • Legends
    • Subplot mosaic
    • Constrained layout guide
    • Tight layout guide (mildly discouraged)
  • Artists
    • Introduction to Artists
    • Automated color cycle
    • Optimizing Artists for performance
    • Paths
    • Path effects guide
    • Understanding the extent keyword argument of imshow
    • Transformations Tutorial
  • Customizing Matplotlib with style sheets and rcParams
  • Colors
    • Specifying colors
    • Customized Colorbars Tutorial
    • Creating Colormaps in Matplotlib
    • Colormap normalization
    • Choosing Colormaps in Matplotlib
  • Text
    • Text in Matplotlib
    • Text properties and layout
    • Annotations
    • Fonts in Matplotlib
    • Writing mathematical expressions
    • Text rendering with XeLaTeX/LuaLaTeX via the pgf backend
    • Text rendering with LaTeX
  • Animations using Matplotlib
    • Animations using Matplotlib
    • Faster rendering by using blitting
  • User Toolkits
    • The axisartist toolkit
    • The axes_grid1 toolkit
    • The mplot3d toolkit
  • Getting started
  • Installation
    • Environment variables
    • Dependencies
  • Using Matplotlib
  • User Toolkits

User Toolkits#

Here you can find examples and explanations of how to use various toolkits available in Matplotlib.

  • The axisartist toolkit
  • The axes_grid1 toolkit
  • The mplot3d toolkit

© Copyright 2002–2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 2012–2026 The Matplotlib development team.

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