Multi-Plot Grids with Different Styles
Discover how to use Seaborn alongside Matplotlib's subplot functionality to create complex multi-plot grids. Learn to position and style different plot types such as scatter, histograms, KDE, and violin plots within a single figure to visualize diverse data relationships effectively.
We'll cover the following...
Overview
The seaborn library provides many functions for individual plots, such as scatter plots, KDE plots, hist plots, and so on. In addition, the faceting functionality is also available with plots such as relplot, displot, and more. However, our visualization may sometimes require a complex structure that may not be achieved using individual plot elements. For instance, let’s say we have to present the annual sales report of a firm. We’re interested in visualizing purchasing trends over time with a line plot and the ...