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Seaborn

원문: seaborn

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.

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Seaborn Statistical Visualization Overview Seaborn is a Python visualization library for creating publication quality statistical graphics. Use this skill for dataset oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi panel figures with minimal code. Design Philosophy Seaborn follows these core principles: 1. Dataset oriented : Work directly with DataFrames and named variables rather than abstract coordinates 2. Semantic mapping : Automatically translate data values into visual properties (colors, sizes, styles) 3. Statistical awareness : Built in aggregation, error estimation, and confidence intervals 4. Aesthetic defaults : Publication ready theme

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