python-seaborn - statistical visualization library

Distribution: Ubuntu 16.04 LTS (Xenial Xerus)
Repository: NeuroDebian Main i386
Package name: python-seaborn
Package version: 0.7.1
Package release: 2~nd16.04+1
Package architecture: all
Package type: deb
Installed size: 766 B
Download size: 125.29 KB
Official Mirror:
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.



    Source package: seaborn

    Install Howto

    1. Add the following line to /etc/apt/sources.list:
      deb xenial main contrib non-free
    2. Install GPG key of the repository:
      # sudo apt-key adv --recv-keys --keyserver 2649A5A9
    3. Update the package index:
      # sudo apt-get update
    4. Install python-seaborn deb package:
      # sudo apt-get install python-seaborn