July 2020
Beginner to intermediate
536 pages
8h 47m
English
Overview
In this chapter, we will see how Seaborn differs from Matplotlib and construct effective plots leveraging the advantages of Seaborn. Specifically, you will use Seaborn to plot bivariate distributions, heatmaps, pairwise relationships, and so on. This chapter also teaches you how to use FacetGrid for visualizing plots for multiple variables separately. By the end of this chapter, you will be able to explain the advantages Seaborn has compared to Matplotlib and design visually appealing and insightful plots efficiently.
In the previous chapter, we took an in-depth look at Matplotlib, one of the most popular plotting libraries for Python. Various plot types were covered, and ...