Package: python-seaborn (0.9.0-1)

[ Source: seaborn  ]

statistical visualization library for Python

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.

Other Packages Related to python-seaborn

• dep: python

  대화형 고급 객체 지향 언어 (파이선2 버젼)

• dep: python-matplotlib

  Python based plotting system in a style similar to Matlab

• dep: python-numpy

  수치 파이썬은 파이썬 언어로 빠르게 배열 기능 추가

• dep: python-pandas

  data structures for "relational" or "labeled" data

• dep: python-scipy

  scientific tools for Python

• dep: python-tk

  Tkinter - Writing Tk applications with Python2

• rec: python-bs4

  파이썬을 위한 에러 내성 HTML 파서

• rec: python-patsy

  statistical models in Python using symbolic formulas

• rec: python-statsmodels

  Python module for the estimation of statistical models

Download python-seaborn

Download for all available architectures

Architecture	Package Size	Installed Size	Files
all	154.5 kB	958.0 kB	[list of files]