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Statistical data visualization using matplotlib
Python Makefile

Merge pull request #696 from clarkfitzg/teardown

Use teardown methods to abstract matplotlib housekeeping in tests
latest commit 3a3390cb62
@mwaskom authored

README.md

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 here. It includes a high-level tutorial, detailed API documentation, and other useful info.

There are docs for the development version here. These should more or less correspond with the github master branch, but they're not built automatically and thus may fall out of sync at times.

Examples

The documentation has an example gallery with short scripts showing how to use different parts of the package.

Citing

Seaborn can be cited using a DOI provided through Zenodo: DOI

Dependencies

  • Python 2.7 or 3.3+

Mandatory

Recommended

Installation

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

Testing

Build Status

To test seaborn, run make test in the source directory. This will run the unit-test and doctest suite (using nose).

Development

https://github.com/mwaskom/seaborn

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

License

Released under a BSD (3-clause) license

Celebrity Endorsements

"Those are nice plots" -Hadley Wickham

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