seaborn
Category: visualization-and-presentation · License: BSD-3-Clause license · Version: 1.3
Tags: statistical visualization, plotting, data visualization, Python
When to use it
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.Example requests
Ask your agent in plain language, for example:- “Can you make a pair plot of my iris dataframe colored by species?”
- “I have expression_counts.csv with columns sample_id, condition (control/treated/rescue), gene, log2_expr. I want to compare log2_expr across the three conditions for each gene, with individual points visible, and I keep getting a FutureWarning about ‘palette’ without ‘hue’ when I run sns.boxplot(x=‘condition’, y=‘log2_expr’, data=df, palette=‘Set2’). Fix it and show the distributions.”
- “I’ve got a table of 40 patient biomarkers and I want to see which ones move together and group similar ones, as a color-coded grid I can drop into a lab meeting slide. What should I do?”
Install
/plugin marketplace add KalarisLabs/research-agent-skills and install the whole visualization-and-presentation category with /plugin install visualization-and-presentation@research-agent-skills.