Statistical data visualization using matplotlib
Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.
Online documentation is available at seaborn.pydata.org.
Seaborn supports Python 3.6+ and no longer supports Python 2.
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 seaborn requires installing additional packages listed in
To test the code, run
make testin the source directory. This will exercise both the unit tests and docstring examples (using pytest) and generate a coverate report.
The doctests require a network connection (unless all example datasets are cached), but the unit tests can be run offline with
Code style is enforced with
flake8using the settings in the
make lintto check.
Seaborn development takes place on Github: https://github.com/mwaskom/seaborn
Please submit bugs that you encounter to the issue tracker with a reproducible example demonstrating the problem. Questions about usage are more at home on StackOverflow, where there is a seaborn tag.