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AI Features

Controlling Figure Aesthetics

Explore how to improve your statistical data visualizations by mastering figure aesthetics with Seaborn. Learn to apply different styles, remove axes spines, adjust figure size and aspect ratio, and scale plot elements for clearer, more effective communication.

Figure aesthetics are a key aspect of data presentation, report writing, and storytelling. This aspect is often overlooked, which can reduce the effectiveness of the analysis. Consistent attention to figure aesthetics improves clarity and communication.

Although we’ve seen how to control figure aesthetics in seaborn in the previous lessons, let’s now go over it with more detail.

C++
import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset('tips')
print(tips.head())

Seaborn figure styles

The set_style() method

We ...