seaborn: Statistical data visualization

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Ada Coda
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seaborn: Statistical data visualization

Post by Ada Coda » Thu Dec 31, 2020 6:41 am

seaborn: Statistical data visualization

Abstract: Seaborn provides a high-level interface for drawing attractive statistical graphics. Written in Python, it builds on matplotlib and integrates closely with pandas data structures. Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots. Its dataset-oriented, declarative API allows the user to focus on what the different elements of the plots mean, rather than on the details of how to draw them.

Credit: Waskom, Michael; Botvinnik, Olga; Gelbart, Maoz; Ostblom, Joel; Hobson, Paul; Lukauskas, Saulius; Gemperline, David C; Augspurger, Tom; Halchenko, Yaroslav; Warmenhoven, Jordi; Cole, John B.; De Ruiter, Julian; Vanderplas, Jake; Hoyer, Stephan; Pye, Cameron; Miles, Alistair; Swain, Corban; Meyer, Kyle; Martin, Marcel; Bachant, Pete Quintero, Eric; Kunter, Gero; Villalba, Santi; Brian; Fitzgerald, Clark; Evans, C. G.; Williams, Mike Lee; O'Kane, Drew; Yarkoni, Tal; Brunner, Thomas

Site: https://doi.org/10.5281/zenodo.592845
https://ui.adsabs.harvard.edu/abs/2020arXiv200811724S

Bibcode: 2020ascl.soft12015W

Preferred citation method: Please see citation information here: https://seaborn.pydata.org/citing.html

ID: ascl:2012.015

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