Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.
Online documentation is available here.
The documentation has an example gallery with short scripts showing how to use different parts of the package. You can also check out the example notebooks:
Seaborn can be cited using a DOI provided through Zenodo:
- Python 2.7 or 3.3+
To install the released version, just do
pip install seaborn
You may instead want to use the development version from Github, by running
pip install git+git://github.com/mwaskom/seaborn.git#egg=seaborn
To test seaborn, run make test in the source directory. This will run the
unit-test suite (using nose). It will also execute the example notebooks and
compare the outputs of each cell to the data in the stored versions.
https://github.com/mwaskom/seaborn
Please submit any bugs you encounter to the Github issue tracker.
Released under a BSD (3-clause) license
"Those are nice plots" -Hadley Wickham