Ubuntu
seaborn package

seaborn 0.12.2-1 source package in Ubuntu

Changelog

seaborn (0.12.2-1) unstable; urgency=medium

  * New upstream version 0.12.2 (Closes: #1028858)
  * Bump Standards-Version to 4.6.2 (no changes needed)

 -- Nilesh Patra <email address hidden>  Sat, 14 Jan 2023 23:31:48 +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
Mantic release universe misc
Lunar release universe misc

Builds

Lunar: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
seaborn_0.12.2-1.dsc 1.7 KiB 966b81c80363b25d22a491fbbcbafd296c0da20be955c5ed61654d1720e21c08
seaborn_0.12.2.orig.tar.gz 1.8 MiB e011570d491f0de235883549a60adcbe495915b883b718c31aa7e54b08e9c3f3
seaborn_0.12.2-1.debian.tar.xz 5.5 KiB ca478e648695d68d5d4851d386686985ed88e336c82e97cf7a0da7d0e694db91

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.