Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels.
Some of the features that seaborn offers are
Several built-in themes that improve on the default matplotlib aesthetics
Tools for choosing color palettes to make beautiful plots that reveal patterns in your data
Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data
Tools that fit and visualize linear regression models for different kinds of independent and dependent variables
Functions that visualize matrices of data and use clustering algorithms to discover structure in those matrices
A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate
High-level abstractions for structuring grids of plots that let you easily build complex visualizations
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Release files for seaborn 0.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| seaborn-0.5.1.tar.gz | 104.4 kB | Details |
Release files / seaborn-0.5.1.tar.gz
| Download URL | seaborn-0.5.1.tar.gz |
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| Size | 104.4 kB |
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