Graphics & Figures

Read Chapter 9, Plotting and Visualization of Python for Data Analysis by Wes McKinney, for a great introduction to the kinds of plots you can make, and a basic subset of plotting commands. It’s a great place to start.

Python has several libraries that can be used for generating graphics. The most popular ones are matplotlib and seaborn.

Matplotlib is more or less a copy of MATLAB’s plotting capabilities, so if you are familiar with MATLAB, you will feel at home with matplotlib.

Seaborn is a high-level interface for drawing attractive and informative statistical graphics. It’s a little bit like ggplot2 in R. It’s great for plotting data that’s in a tabular format.