[seaborn] 06/06: Make short description distinct and upload to unstable

[Andreas Tille]

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tille pushed a commit to tag debian/0.8.0-1
in repository seaborn.

commit 0f160e7f8a83b212712ca0f1aa14d44e2fd467c9
Author: Andreas Tille <tille at debian.org>
Date:   Mon Jul 24 12:24:28 2017 +0200

    Make short description distinct and upload to unstable
---
 debian/changelog | 7 ++++---
 debian/control   | 4 ++--
 2 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/debian/changelog b/debian/changelog
index af00e7a..ef53c7c 100644
--- a/debian/changelog
+++ b/debian/changelog
@@ -1,13 +1,14 @@
-seaborn (0.7.1-3) UNRELEASED; urgency=medium
+seaborn (0.8.0-1) unstable; urgency=medium
 
   * Team upload.
-  * New upstream version (droped patches)
+  * New upstream version (dropped patches)
   * Add python*-pytest to Build-Depends
     Closes: #868616
   * cme fix dpkg-control
   * debhelper 10
+  * Make short description distinct
 
- -- Andreas Tille <tille at debian.org>  Mon, 24 Jul 2017 11:34:52 +0200
+ -- Andreas Tille <tille at debian.org>  Mon, 24 Jul 2017 12:10:14 +0200
 
 seaborn (0.7.1-2) unstable; urgency=medium
 
diff --git a/debian/control b/debian/control
index 17b12dc..782383f 100644
--- a/debian/control
+++ b/debian/control
@@ -47,7 +47,7 @@ Depends: ${misc:Depends},
 Recommends: python-statsmodels,
             python-patsy,
             python-bs4
-Description: statistical visualization library
+Description: statistical visualization library for Python
  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
@@ -81,7 +81,7 @@ Depends: ${misc:Depends},
          python3-matplotlib
 Recommends: python3-patsy,
             python3-bs4
-Description: statistical visualization library
+Description: 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

-- 
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