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[ascl:2012.015] seaborn: Statistical data visualization

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.

Code site:
https://github.com/mwaskom/seaborn https://seaborn.pydata.org/ https://doi.org/10.5281/zenodo.592845
Used in:
https://ui.adsabs.harvard.edu/abs/2019ApJ...883L..42F https://ui.adsabs.harvard.edu/abs/2020arXiv200811724S
Bibcode:
2020ascl.soft12015W
Preferred citation method:

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


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ascl:2012.015
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