seaborn 0.11.1-1 source package in Ubuntu

Changelog

seaborn (0.11.1-1) unstable; urgency=medium

  * New upstream version 0.11.1
    (Closes: #980688)
  * Refresh patches
  * Add myself to uploaders
  * Declare compliance with policy 4.5.1
  * Bump debhelper-compat version to 13
  * Import warnings in test_axisgrid.py

 -- Nilesh Patra <email address hidden>  Thu, 21 Jan 2021 17:21:52 +0530

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Impish release universe misc
Hirsute release universe misc

Builds

Hirsute: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
seaborn_0.11.1-1.dsc 2.2 KiB e5c310b7f976206c6fd2e7ba918b30d31cd032c7af6cd992387f8b8e0a1987cd
seaborn_0.11.1.orig.tar.gz 1.6 MiB fbc6d02111c14ed3e7cb312b7fd594229e6cb4ed18768557302336a31e042bcf
seaborn_0.11.1-1.debian.tar.xz 5.6 KiB 297198e222ec6d2d8460a89ea807c3105e56028fc78764c6030d3f043106aea1

Available diffs

No changes file available.

Binary packages built by this source

python3-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.