Beginner’s Guide

Release:1.5.0+1060.ge817d39 Date:January 05, 2016

• Pyplot tutorial
  • Controlling line properties
  • Working with multiple figures and axes
  • Working with text
  • Logarithmic and other nonlinear axis
• Customizing plots with style sheets
  • Defining your own style
  • Composing styles
  • Temporary styling
• Interactive navigation
  • Navigation Keyboard Shortcuts
• Working with text
  • Text introduction
  • Basic text commands
  • Text properties and layout
  • Writing mathematical expressions
  • Typesetting With XeLaTeX/LuaLaTeX
  • Text rendering With LaTeX
  • Annotating text
• Image tutorial
  • Startup commands
  • Importing image data into Numpy arrays
  • Plotting numpy arrays as images
• Legend guide
  • Controlling the legend entries
  • Creating artists specifically for adding to the legend (aka. Proxy artists)
  • Legend location
  • Multiple legends on the same Axes
  • Legend Handlers
  • Known examples of using legend
• Annotating Axes
  • Annotating with Text with Box
  • Annotating with Arrow
  • Placing Artist at the anchored location of the Axes
  • Using Complex Coordinate with Annotation
  • Using ConnectorPatch
  • Zoom effect between Axes
  • Define Custom BoxStyle
• Screenshots
  • Simple Plot
  • Subplot demo
  • Histograms
  • Path demo
  • mplot3d
  • Streamplot
  • Ellipses
  • Bar charts
  • Pie charts
  • Table demo
  • Scatter demo
  • Slider demo
  • Fill demo
  • Date demo
  • Financial charts
  • Basemap demo
  • Log plots
  • Polar plots
  • Legends
  • Mathtext_examples
  • Native TeX rendering
  • EEG demo
  • XKCD-style sketch plots
• Choosing Colormaps
  • Overview
  • Classes of colormaps
  • Lightness of matplotlib colormaps
  • Grayscale conversion
  • Color vision deficiencies
  • References
• Colormap Normaliztions
  • Logarithmic
  • Symetric logarithmic
  • Power-law
  • Discrete bounds
  • Custom normalization: Two linear ranges