📈Seaborn
A library based on Matplotlib for creating visualizations with a higher-level interface
Seaborn is a library for making statistical graphics in Python. It builds on top of matplotlib and integrates closely with pandas data structures.
Seaborn helps you explore and understand your data. Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots. Its dataset-oriented, declarative API lets you focus on what the different elements of your plots mean, rather than on the details of how to draw them.
Documentation
Online documentation is available at seaborn.pydata.org.
The docs include a tutorial, example gallery, API reference, and other useful information.
Dependencies
Seaborn supports Python 3.7+ and no longer supports Python 2.
Installation requires numpy, pandas, and matplotlib. Some functions will optionally use scipy and/or statsmodels if they are available.
Installation
The latest stable release (and required dependencies) can be installed from PyPI:
It is also possible to include the optional dependencies:
You may instead want to use the development version from Github:
Seaborn is also available from Anaconda and can be installed with conda:
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