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Statistical data visualization using matplotlib

Home Page: http://seaborn.pydata.org

License: BSD 3-Clause "New" or "Revised" License

Makefile 0.05% Python 99.95%

seaborn's Introduction

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.

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 3.4+

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+https://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

seaborn's People

Contributors

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Watchers

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