Agent skill
seaborn
Seaborn statistical data visualization. Use for statistical plots.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/seaborn-g1joshi-agent-skills
SKILL.md
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 thanscatterplot.
Don't:
- Don't iterate: Seaborn handles "hue" and "col" (faceting) automatically.
References
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