How can I create advanced pairplots using Seaborn?

How can I create advanced pairplots using Seaborn?

You can create advanced pairplots in Seaborn by using the pairplot() function with additional parameters like hue, kind, and markers. Would you like an example?

Yes, please provide an example with a dataset.

Sure! Here's an example using the Iris dataset:

import seaborn as sns
import matplotlib.pyplot as plt

df = sns.load_dataset('iris')
sns.pairplot(df, hue='species', kind='scatter', markers=['o', 's', 'D'])
plt.show()

This will create a pairplot colored by species with different markers.

What if I want to customize the aesthetics?

You can customize aesthetics using the palette, height, and aspect parameters. For example:

sns.pairplot(df, hue='species', palette='coolwarm', height=2.5, aspect=1.2)

This changes the color palette and the size of the plots.

Can I add regression lines to the plots?

Yes, you can add regression lines by setting the kind parameter to 'reg'. Here's how:

sns.pairplot(df, hue='species', kind='reg')

This will overlay regression lines on the scatter plots.