The following commit has been merged in the master branch:
commit ad6f98f7a6660cf3babc02e63257abcc9ebb7ec8
Author: Andreas Tille <[email protected]>
Date: Thu Jun 19 10:56:43 2014 +0200
Drop extra information of just accepted package; Note: Please always use
'Pkg-Description' and *not* 'Description' for extra package information
diff --git a/tasks/viewing b/tasks/viewing
index 0dbdb13..2258531 100644
--- a/tasks/viewing
+++ b/tasks/viewing
@@ -137,27 +137,3 @@ Depends: veusz
Depends: ctioga2
Depends: python-seaborn
-Homepage: https://github.com/mwaskom/seaborn
-WNPP: 742573
-Responsible: NeuroDebian <[email protected]>
-Description: statistical visualization library
- 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
--
Debian Science Blend
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