Seaborn: statistical data visualization
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.
There are docs for the development version here. These should more or less correspond with the github master branch, but they're not currently built automatically and thus may fall out of sync at times. Also, note that the API docs should always stay up to date, but the tutorials may lag behind.
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:
- 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.
Please submit any bugs you encounter to the Github issue tracker.
Released under a BSD (3-clause) license
"Those are nice plots" -Hadley Wickham