seaborn

name	seaborn
description	Seaborn statistical data visualization. Use for statistical plots.

Seaborn

Seaborn is a high-level wrapper around Matplotlib. It makes statistical plots (violins, heatmaps, pairs) easy.

When to Use

• Exploratory Data Analysis (EDA): Quickly understanding distributions.
• Statistical Relationships: "Show me the regression line with confidence intervals".
• Pandas Models: Works natively with DataFrames (long-form).

Core Concepts

Objects Interface (so)

New in v0.12+. A grammar-of-graphics style API (like ggplot2) : so.Plot(df, x="time", y="val").add(so.Line()).

Themes

sns.set_theme().

Best Practices (2025)

Do:

• Use the Objects Interface: For composable, complex plots.
• Use relplot, displot, catplot: The figure-level functions are more flexible than scatterplot.

Don't:

• Don't iterate: Seaborn handles "hue" and "col" (faceting) automatically.

References

• Seaborn Documentation