How can I create complex visualizations using Seaborn?

How can I create complex visualizations using Seaborn?

You can create complex visualizations in Seaborn by combining different plots and using advanced features like facets and color palettes.

Can you show me an example of a facet grid with multiple plots?

Sure! You can use sns.FacetGrid() to create a grid of plots. For example:

import seaborn as sns
import matplotlib.pyplot as plt

g = sns.FacetGrid(tips, col='time')
g.map(sns.scatterplot, 'total_bill', 'tip')
plt.show()

What about customizing the aesthetics of the plots?

You can customize aesthetics using the set_style() and set_palette() functions. For example:

sns.set_style('whitegrid')
sns.set_palette('pastel')

How do I save my visualizations to a file?

You can save your visualizations using plt.savefig('filename.png') after creating your plot. Make sure to call it before plt.show().