Book Image

Mastering Matplotlib 2.x

By : Benjamin Walter Keller
Book Image

Mastering Matplotlib 2.x

By: Benjamin Walter Keller

Overview of this book

In this book, you’ll get hands-on with customizing your data plots with the help of Matplotlib. You’ll start with customizing plots, making a handful of special-purpose plots, and building 3D plots. You’ll explore non-trivial layouts, Pylab customization, and more about tile configuration. You’ll be able to add text, put lines in plots, and also handle polygons, shapes, and annotations. Non-Cartesian and vector plots are exciting to construct, and you’ll explore them further in this book. You’ll delve into niche plots and visualize ordinal and tabular data. In this book, you’ll be exploring 3D plotting, one of the best features when it comes to 3D data visualization, along with Jupyter Notebook, widgets, and creating movies for enhanced data representation. Geospatial plotting will also be explored. Finally, you’ll learn how to create interactive plots with the help of Jupyter. Learn expert techniques for effective data visualization using Matplotlib 3 and Python with our latest offering -- Matplotlib 3.0 Cookbook
Table of Contents (7 chapters)

Special Purpose Plots

We have so far learned how to add lines, boxes, texts, different kinds of shapes, as well as arrows in descriptions with annotation. Special purpose plots defines how to draw on plots to provide the viewer with visual guides that point them toward the important features of data and a few special purpose kinds of plots for either plotting non-Cartesian data or very specific kinds of datasets.

In this chapter, we will learn about the following topics:

  • How to make non-Cartesian axes and plots
  • How to plot vector fields
  • How to show statistical information with box and violin plots
  • How to display ordinal and tabular data