Metadata-Version: 2.1
Name: seaborn
Version: 0.12.0b3
Summary: seaborn: statistical data visualization
Home-page: https://seaborn.pydata.org
Download-URL: https://github.com/mwaskom/seaborn/
Author: Michael Waskom
Author-email: mwaskom@gmail.com
Maintainer: Michael Waskom
Maintainer-email: mwaskom@gmail.com
License: BSD (3-clause)
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: BSD License
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Multimedia :: Graphics
Classifier: Operating System :: OS Independent
Classifier: Framework :: Matplotlib
Requires-Python: >=3.7
Provides-Extra: all
License-File: LICENSE


Seaborn is a library for making statistical graphics in Python. It is built on
top of `matplotlib <https://matplotlib.org/>`_ and closely integrated with
`pandas <https://pandas.pydata.org/>`_ data structures.

Here is some of the functionality that seaborn offers:

- A dataset-oriented API for examining relationships between multiple variables
- Flexible data aggregation with automatic estimation and plotting of error bars
- Multiple options for visualizing univariate or bivariate distributions
- Estimation and plotting of linear regression models to reveal trends
- Tools for building figures with multidimensional views onto complex dataset structure
- Concise control over matplotlib figure styling with several built-in themes
- Tools for choosing color palettes that faithfully reveal patterns in your data

Seaborn aims to make visualization a central part of exploring and understanding
data. Its dataset-oriented plotting functions operate on dataframes and arrays
containing whole datasets and internally perform the necessary semantic mapping
and statistical aggregation to produce informative plots.



