Introduction to Data Visualization in Python

• Plotting multiple graphs

  • Plotting multiple graphs
    
  • Strategies
    
  • Graphs on common axes
    
  • Using axes()
    
  • The axes() command
    
  • Using subplot()
    
  • Using subplot()
    
  • The subplot() command
    

• Customizing axes

  • Customizing axes
    
  • Controlling axis extents
    
  • GDP over time
    
  • Using xlim()
    
  • Using xlim() and ylim()
    
  • Using axis()
    
  • Other axis() options
    
  • Using axis('equal')
    
  • Using axis('equal')
    

• Legends, annotations, and styles

  • Legends
    
  • Using legend()
    
  • Legend locations
    
  • Plot annotations
    
  • Using annotate() for text
    
  • Options for annotate()
    
  • Using annotate() for arrows
    
  • Using annotate() for arrows
    
  • Working with plot styles
    
  • ggplot style
    
  • fivethirtyeight style