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This article is about how python uses plt.tight_layout (). The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

Plt.tight_layout ()

When drawing multiple graphs, it is common to see the labels of some subgraphs overlap on their adjacent subgraphs.

As follows:

Categorical = df.select\ _ dtypes ('category') .columnsplt.figure (figsize= (8,8)) for I, col in enumerate (categorical): ax= plt.subplot (2,2, iTun1) sns.countplot (data=df, x=col, ax=ax)

The variable names on the x-axis of the top two charts are cut out, and the y-axis label of the right chart overlaps the left subgraph. It is very convenient to use plt.tight_layout

Plt.figure (figsize= (8,8) for I, col in enumerate (categorical): ax= plt.subplot (2,2,1) sns.countplot (data=df, x=col, ax=ax) plt.tight\ _ layout ()

The major looks better.

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