CitingĪ paper describing seaborn has been published in the Journal of Open Source Software. Note that the main anaconda repository lags PyPI in adding new releases, but conda-forge ( -c conda-forge) typically updates quickly. Seaborn can also be installed with conda: conda install seaborn It is also possible to include optional statistical dependencies: pip install seaborn ![]() The latest stable release (and required dependencies) can be installed from PyPI: pip install seaborn Some advanced statistical functionality requires scipy and/or statsmodels. Installation requires numpy, pandas, and matplotlib. ![]() To build the documentation locally, please refer to doc/README.md. The docs include a tutorial, example gallery, API reference, FAQ, and other useful information. It provides a high-level interface for drawing attractive statistical graphics. Seaborn is a Python visualization library based on matplotlib.
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