Using 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 and Axes
  • More reading

• 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
  • Axis autoscaling
  • 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
  • Runtime rc settings
  • Using style sheets
  • The matplotlibrc file

• Colors
  • Specifying colors
  • Customized Colorbars Tutorial
  • Creating Colormaps in Matplotlib
  • Colormap normalization
  • Choosing Colormaps in Matplotlib

• Text
  • Text in Matplotlib
  • Text properties and layout
  • Default Font
  • 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