In the first part of this book, you will learn the basics of creating a Matplotlib plot:
- Chapter 1, Hello Plotting World!, covers the basic constituents of a Matplotlib figure, as well as the latest features of Matplotlib version 2
- Chapter 2, Figure Aesthetics, explains how to in customize the style of components in a Matplotlib figure
- Chapter 3, Figure Layout and Annotations, explains how to add annotations and subplots, which allow more comprehensive representation of the data
Once we have a solid foundation of the basics of Matplotlib, in part two of this book, you will learn how to mix and match different techniques to create increasingly complex visualizations:
- Chapter 4, Visualizing Online Data, teaches you how to design intuitive infographics for effective storytelling through the use of real-world datasets.
- Chapter 5, Visualizing Multivariate Data, gives you an overview of the plot types that are suitable for visualizing datasets with multiple features or dimensions.
- Chapter 6, Adding Interactivity and Animating Plots, shows you that Matplotlib is not limited to creating static plots. You will learn how to create interactive charts and animations.
Finally, in part three of this book, you will learn some practical considerations and data analysis routines that are relevant to scientific plotting:
- Chapter 7, A Practical Guide to Scientific Plotting, explains that data visualization is an art that's closely coupled with statistics. As a data scientist, you will learn how to create visualizations that are not only understandable by yourself, but legible to your target audiences.
- Chapter 8, Exploratory Data Analytics and Infographics, guides you through more advanced topics in geographical infographics and exploratory data analytics.
