Seaborn
Seaborn
https://github.com/mwaskom/seaborn
statistical visualization library
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 - 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
This is the Python 2 version of the package.
Licensing
License
Verified by
Verified on
Notes
License
Verified by
Debian: Yaroslav Halchenko <debian@onerussian.com>
Verified on
19 February 2015
Notes
License: bsd-3
License
Verified by
Debian: Yaroslav Halchenko <debian@onerussian.com>
Verified on
19 February 2015
Notes
License: expat
Leaders and contributors
| Contact(s) | Role |
|---|---|
| Michael Waskom | contact |
Resources and communication
| Audience | Resource type | URI |
|---|---|---|
| Debian (Ref) | https://tracker.debian.org/pkg/seaborn | |
| Python (Ref) | https://pypi.org/project/seaborn |
Software prerequisites
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