seaborn

seaborn: statistical data visualization

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Project description

Seaborn is a library for making statistical graphics in Python. It is built on top of matplotlib and closely integrated with pandas data structures.

Here is some of the functionality that seaborn offers:

A dataset-oriented API for examining relationships between multiple variables
Flexible data aggregation with automatic estimation and plotting of error bars
Multiple options for visualizing univariate or bivariate distributions
Estimation and plotting of linear regression models to reveal trends
Tools for building figures with multidimensional views onto complex dataset structure
Concise control over matplotlib figure styling with several built-in themes
Tools for choosing color palettes that faithfully reveal patterns in your data

Seaborn aims to make visualization a central part of exploring and understanding data. Its dataset-oriented plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots.

Project details

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Release history Release notifications | RSS feed

0.13.2

Jan 25, 2024

0.13.1

Dec 31, 2023

0.13.0

Sep 29, 2023

0.13.0rc0 pre-release

Sep 26, 2023

0.12.2

Dec 30, 2022

0.12.1

Oct 18, 2022

0.12.0

Sep 6, 2022

0.12.0rc0 pre-release

Aug 14, 2022

0.12.0b3 pre-release

Aug 4, 2022

0.12.0b2 pre-release

Jul 14, 2022

This version

0.12.0b1 pre-release

Jun 27, 2022

0.12.0b0 pre-release

Jun 27, 2022

0.11.2

Aug 16, 2021

0.11.2rc0 pre-release

Aug 8, 2021

0.11.1

Dec 20, 2020

0.11.0

Sep 8, 2020

0.11.0rc0 pre-release

Sep 2, 2020

0.10.1

Apr 26, 2020

0.10.0

Jan 24, 2020

0.10.0rc0 pre-release

Jan 22, 2020

0.9.1

Jan 24, 2020

0.9.1rc0 pre-release

Jan 22, 2020

0.9.0

Jul 16, 2018

0.8.1

Sep 3, 2017

0.8

Jul 8, 2017

0.7.1

Jun 5, 2016

0.7.0

Jan 25, 2016

0.6.0

Jun 29, 2015

0.5.1

Nov 22, 2014

0.5.0

Nov 14, 2014

0.4.0

Sep 3, 2014

0.3.1

Apr 21, 2014

0.3

Mar 23, 2014

0.2.1

Jan 15, 2014

0.2.0

Dec 23, 2013

0.1

Oct 28, 2013

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