Cited by 7,310Computational Physics and Python ApplicationsData Visualization and AnalyticsData Analysis with R

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seaborn: statistical data visualization

Open access

Waskom, Michael·2021·Journal of Open Source Software

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Abstract

seaborn is a library for making statistical graphics in Python.It provides a high-level interface to matplotlib and integrates closely with pandas data structures.Functions in the seaborn library expose a declarative, dataset-oriented API that makes it easy to translate questions about data into graphics that can answer them.When given a dataset and a specification of the plot to make, seaborn automatically maps the data values to visual attributes such as color, size, or style, internally computes statistical transformations, and decorates the plot with informative axis labels and a legend.Many seaborn functions can generate figures with multiple panels that elicit comparisons between conditional subsets of data or across different pairings of variables in a dataset.seaborn is designed to be useful throughout the lifecycle of a scientific project.By producing complete graphics from a single function call with minimal arguments, seaborn facilitates rapid prototyping and exploratory data analysis.And by offering extensive options for customization, along with exposing the underlying matplotlib objects, it can be used to create polished, publication-quality figures.

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Wickham, Hadley, ggplot2: Elegant Graphics for Data Analysis, New York, Springer-Verlag, 2016, 978-3-319-24277-4, https://ggplot2.tidyverse.org

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Authors: Waskom, M.
Affiliations: New York University (US)
Corresponding author: Waskom, Michael
ORCID: Waskom, Michael
Venue: Journal of Open Source Software
Publisher: The Open Journal
Published: 2021-04-06
Volume: 6
Issue: 60
Pages: 3021
ISSN: 2475-9066 (ISSN-L)
DOI: 10.21105/joss.03021
OpenAlex: W3128261063
Cited by: 7,310
References: 6
Citations by year: 2026: 1498 · 2025: 1881 · 2024: 1517 · 2023: 1172 · 2022: 805 · 2021: 380
FWCI: 349.32
Type: journal article
Language: en
Open access: diamond
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
creativecommons.org/licenses/by/4.0/ (am)
creativecommons.org/licenses/by/4.0/ (tdm)
Locations: The Journal of Open Source Software (publishedVersion, cc-by)
Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
Astrophysics Source Code Library
Zenodo (CERN European Organization for Nuclear Research) (other-oa)
Funders: National Science Foundation (0801700)
Simons Foundation (527794)
Simons Society of Fellows
Topics: Physical Sciences › Computer Science › Software › Computational Physics and Python Applications
Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Data Visualization and Analytics
Physical Sciences › Mathematics › Statistics and Probability › Data Analysis with R
Keywords: seaborn, statistical graphics, Python library, exploratory data analysis, data visualization, publication-quality figures

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