How can I use advanced features in Seaborn's pairplot?
You can enhance Seaborn's pairplot by using features like hue, markers, and customizing the diagonal plots.
Can you show me how to add a hue to differentiate categories?
Sure! You can add the hue
parameter to your pairplot function. For example: sns.pairplot(data, hue='category_column')
.
What if I want to customize the markers for different categories?
You can use the markers
parameter in the pairplot function. For example: sns.pairplot(data, hue='category_column', markers=['o', 's', 'D'])
.
How do I change the style of the diagonal plots?
You can customize the diagonal plots by using the diag_kind
parameter. Options include 'hist' or 'kde'. For example: sns.pairplot(data, diag_kind='kde')
.
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