
Seaborn
zLanqing/codex-claude-academic-skills/scientific-toolkit-skill/references/scientific-skills/seabornby zLanqing7ed6377f0efb6a38951b48ef03b19d996e454b1fBSD-3-Clause licenseListed Oct 9, 2026Updated Oct 9, 2026
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.
- 7ed6377f0efb6a38951b48ef03b19d996e454b1fCurrentcommit 7ed6377Published Oct 9, 2026
Source and attribution
Source:zLanqing/codex-claude-academic-skillsinscientific-toolkit-skill/references/scientific-skills/seabornat commit7ed6377
License: BSD-3-Clause license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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