Axes and subplots

Matplotlib Axes are the gateway to creating your data visualizations. Once an Axes is placed on a figure there are many methods that can be used to add data to the Axes. An Axes typically has a pair of Axis Artists that define the data coordinate system, and include methods to add annotations like x- and y-labels, titles, and legends.

(Source code, 2x.png, png)

• Introduction to Axes (or Subplots)
  • Creating Axes
  • Axes plotting methods
  • Axes labelling and annotation
  • Axes limits, scales, and ticking
  • Axes layout

• Arranging multiple Axes in a Figure
• Placing colorbars
• Axis autoscaling

• Axis scales
  • loglog and semilogx/y
  • Other built-in scales
  • Optional arguments for scales
  • Arbitrary function scales
  • What is a "scale"?
• Axis ticks
  • Manual location and formats
  • Locators and Formatters
  • Styling ticks (tick parameters)
• Plotting dates and strings
  • Date conversion
  • String conversion: categorical plots
  • Determine converter, formatter, and locator on an axis
  • More about "unit" support
• Legends
  • 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
• Subplot mosaic
  • String short-hand
  • Axes spanning multiple rows/columns
  • Controlling mosaic creation
  • Controlling subplot creation
  • Nested list input

• Constrained layout guide
• Tight layout guide (mildly discouraged)