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Author
Last Commit
Feb. 22, 2019
Created
Jun. 18, 2012

seaborn: statistical data visualization


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Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.

Documentation

Online documentation is available at seaborn.pydata.org.

The docs include a tutorial, example gallery, API reference, and other useful information.

Dependencies

Seaborn supports Python 2.7 and 3.5+.

Installation requires numpy, scipy, pandas, and matplotlib. Some functions will optionally use statsmodels if it is installed.

Installation

The latest stable release (and older versions) can be installed from PyPI:

pip install seaborn

You may instead want to use the development version from Github:

pip install git+https://github.com/mwaskom/seaborn.git#egg=seaborn

Testing

To test seaborn, run make test in the source directory.

This will exercise both the unit tests and docstring examples (using pytest).

Development

Seaborn development takes place on Github: https://github.com/mwaskom/seaborn

Please submit any reproducible bugs you encounter to the issue tracker.

Latest Releases
v0.9.0 (July 2018)
 Jul. 16 2018
v0.8.1 (September 2017)
 Sep. 3 2017
v0.8.0 (July 2017)
 Jul. 8 2017
v0.7.1 (June 2016)
 Jun. 4 2016
v0.7.0 (January 2016)
 Jan. 24 2016