Pakiet: python3-seaborn (0.12.2-1)

[ Pakiet źródłowy: seaborn  ]

statistical visualization library for Python3

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 3 version of the package.

Inne pakiety związane z python3-seaborn

• dep: python3

  interactive high-level object-oriented language (default python3 version)

• dep: python3-matplotlib

  Python based plotting system in a style similar to Matlab (Python 3)

• dep: python3-numpy

  Fast array facility to the Python 3 language

• dep: python3-pandas

  data structures for "relational" or "labeled" data

• dep: python3-scipy

  Narzędzia naukowe dla Pythona 3

• dep: python3-typing-extensions

  Backported and Experimental Type Hints for Python

  lub python3 (>> 3.8)

  interactive high-level object-oriented language (default python3 version)

• rec: python3-bs4

  error-tolerant HTML parser for Python 3

• rec: python3-patsy

  statistical models in Python using symbolic formulas

• rec: python3-tk

  Tkinter - Writing Tk applications with Python 3.x

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