[Blends-commit] [SCM] science branch, master, updated. b896861569f937056ddba605442a8b27aa3be23f

[Andreas Tille]

The following commit has been merged in the master branch:
commit ad6f98f7a6660cf3babc02e63257abcc9ebb7ec8
Author: Andreas Tille <tille at debian.org>
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 <team at neuro.debian.net>
-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

-- 
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