seaborn

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Tool: SKILL.md [1/3] Description: --- name: seaborn description: "Statistical visualization.

Tool: SKILL.md [2/3] Description: Grids Seaborn provides grid objects for creating complex multi-panel figures: ### FacetGrid Create subplots based on categorical variables.

Tool: SKILL.md [3/3]

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Tool: references/examples.md [1/2] Description: # Seaborn Common Use Cases and Examples This document provides practical examples for common data visualization scenarios using seaborn.

Tool: references/examples.md [2/2]

Malicious tool definition detected

Tool: references/function_reference.md [1/4] Description: # Seaborn Function Reference This document provides a comprehensive reference for all major seaborn functions, organized by category.

Tool: references/function_reference.md [2/4] Description: showing individual observations along an axis.

Tool: references/function_reference.md [3/4] Description: bar plot with error bars showing statistical estimates.

Tool: references/function_reference.md [4/4] Description: `row_colors, col_colors` - Additional color annotations - `dendrogram_ratio` - Ratio of dendrogram to heatmap - `colors_ratio` - Ratio of color annotations to heatmap - `cbar_pos` - Colorbar position (tuple: x, y, width, height) - `tree_kws` - Parameters for dendrogram - `figsize` - Figure size **Example:** ```python sns.clustermap(data, method='average', metric='euclidean', z_score=0, cmap='viridis', row_colors=row_colors, col_colors=col

Malicious tool definition detected

Tool: references/objects_interface.md [1/3] Description: # Seaborn Objects Interface The `seaborn.objects` interface provides a modern, declarative API for building visualizations through composition.

Tool: references/objects_interface.md [2/3] Description: y='y').add(so.Line()) so.Plot(df, x='x', y='y', color='cat').add(so.Line(linewidth=2)) ``` ### Path Like Line but connects points in data order (not sorted by x). ```python so.Path(artist_kws=None, **kwargs) ``` Properties same as `Line`.

Tool: references/objects_interface.md [3/3] Description: "symlog", "logit", "pow10", or callable **Example:** ```python p.scale( x=so.Continuous().tick(every=10), y=so.Continuous(trans='log').tick(at=[1, 10, 100]), color=so.Continuous(values=(0, 1)), pointsize=(5, 20) # Shorthand for Continuous range ) ``` ### Nominal For categorical data.