[Seaborn] implementation of combined charts and multi subgraphs

Introduce

seaborn It is very convenient to combine various charts , As used in the previous chapter row and col Parameters can quickly generate multiple charts based on data ;

This chapter mainly introduces the generation of combination charts according to our own personal needs , Here, the combination chart is divided into two forms ：

1. Many pictures ： Draw multiple coordinate systems on a canvas ;
2. Chart overlap ： Display multiple charts in one coordinate system ;

Many pictures

In the previous content, we talked about seaborn Chart level ,axes-level Charts can be added to matplotlib The complexity of figure Medium ,seaborn Medium axes-level Have added one ax Parameter is used to specify in figure Drawing location in ;

As in the following code , We go through plt.subplots() Create a 1 That's ok 2 Column figure, We can easily put seaborn Add the chart of ;

import matplotlib.pyplot as plt
import seaborn as sns
penguins = sns