seaborn: statistical data visualization

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.

Seaborn supports Python 3.6+ and no longer supports Python 2.

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

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

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
.idea		.idea
Plotting with categorical data.ipynb		Plotting with categorical data.ipynb
README.md		README.md
Visualizing linear relationships.ipynb		Visualizing linear relationships.ipynb
Visualizing statistical relationships.ipynb		Visualizing statistical relationships.ipynb
Visualizing the distribution of a dataset.ipynb		Visualizing the distribution of a dataset.ipynb