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seaborn

Definition
AI-generated

seaborn is a Python visualization library built on Matplotlib with high-level functions for statistical graphics—distributions, heatmaps, and facet grids—using tidy tables (often pandas).

Topics
Programming
URL
https://seaborn.pydata.org/
Related
Matplotlib Python

Why it matters in GWAS

Exploratory figures for phenotypes, annotation covariates, and simple summaries beside genome-wide plots are quick to prototype in notebooks; seaborn reduces boilerplate compared to raw Matplotlib for common statistical chart types.

Example usage

"We used seaborn violin plots to compare PRS distributions by ancestry group before sensitivity analyses."

Matplotlib Python
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Waskom ML. (2021). seaborn: statistical data visualization. J Open Source Softw.
← scPerturb Segmental duplication →

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