Revision: 7111
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7111&view=rev
Author:   jdh2358
Date:     2009-05-17 14:54:57 +0000 (Sun, 17 May 2009)

Log Message:
-----------
Merged revisions 7106-7109 via svnmerge from 
https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/branches/v0_98_5_maint

........
  r7106 | jdh2358 | 2009-05-17 09:11:35 -0500 (Sun, 17 May 2009) | 1 line
  
  tagging changelog for release
........
  r7107 | jdh2358 | 2009-05-17 09:13:14 -0500 (Sun, 17 May 2009) | 1 line
  
  removed some deprecation warnings from mlab
........
  r7108 | jdh2358 | 2009-05-17 09:22:31 -0500 (Sun, 17 May 2009) | 1 line
  
  tag changelog for release
........
  r7109 | jdh2358 | 2009-05-17 09:51:09 -0500 (Sun, 17 May 2009) | 1 line
  
  updated url in release doc
........

Modified Paths:
--------------
    trunk/matplotlib/CHANGELOG
    trunk/matplotlib/doc/devel/release_guide.rst
    trunk/matplotlib/lib/matplotlib/mlab.py

Property Changed:
----------------
    trunk/matplotlib/


Property changes on: trunk/matplotlib
___________________________________________________________________
Modified: svnmerge-integrated
   - /branches/v0_91_maint:1-6428 /branches/v0_98_5_maint:1-7082
   + /branches/v0_91_maint:1-6428 /branches/v0_98_5_maint:1-7110

Modified: trunk/matplotlib/CHANGELOG
===================================================================
--- trunk/matplotlib/CHANGELOG  2009-05-17 14:52:47 UTC (rev 7110)
+++ trunk/matplotlib/CHANGELOG  2009-05-17 14:54:57 UTC (rev 7111)
@@ -1,10 +1,12 @@
 ======================================================================
-2009-05-13 An optional offset and bbox support in restore_bbox. 
+2008-05-17 Release 0.98.5.3 at r7107 from the branch - JDH
+
+2009-05-13 An optional offset and bbox support in restore_bbox.
            Add animation_blit_gtk2.py. -JJL
 
-2009-05-13 psfrag in backend_ps now uses baseline-alignment 
+2009-05-13 psfrag in backend_ps now uses baseline-alignment
            when preview.sty is used ((default is
-           bottom-alignment). Also, a small api imporvement 
+           bottom-alignment). Also, a small api imporvement
            in OffsetBox-JJL
 
 2009-05-13 When the x-coordinate of a line is monotonically

Modified: trunk/matplotlib/doc/devel/release_guide.rst
===================================================================
--- trunk/matplotlib/doc/devel/release_guide.rst        2009-05-17 14:52:47 UTC 
(rev 7110)
+++ trunk/matplotlib/doc/devel/release_guide.rst        2009-05-17 14:54:57 UTC 
(rev 7111)
@@ -120,7 +120,7 @@
     sftp> put matplotlib-0.98.2.tar.gz
     Uploading matplotlib-0.98.2.tar.gz to 
/incoming/j/jd/jdh2358/uploads/matplotlib-0.98.2.tar.gz
 
-* go https://sourceforge.net/project/admin/?group_id=80706 and do a
+* go https://sourceforge.net/project/admin/editpackages.php?group_id=80706 and 
do a
   file release.  Click on the "Admin" tab to log in as an admin, and
   then the "File Releases" tab.  Go to the bottom and click "add
   release" and enter the package name but not the version number in

Modified: trunk/matplotlib/lib/matplotlib/mlab.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/mlab.py     2009-05-17 14:52:47 UTC (rev 
7110)
+++ trunk/matplotlib/lib/matplotlib/mlab.py     2009-05-17 14:54:57 UTC (rev 
7111)
@@ -275,11 +275,6 @@
         pad_to = NFFT
 
     if scale_by_freq is None:
-        warnings.warn("psd, csd, and specgram have changed to scale their "
-            "densities by the sampling frequency for better MatLab "
-            "compatibility. You can pass scale_by_freq=False to disable "
-            "this behavior.  Also, one-sided densities are scaled by a "
-            "factor of 2.")
         scale_by_freq = True
 
     # For real x, ignore the negative frequencies unless told otherwise
@@ -1884,8 +1879,6 @@
     much faster.
     """
     if typecode is not None:
-        warnings.warn("Use dtype kwarg instead of typecode",
-                       DeprecationWarning)
         dtype = typecode
     iden = np.zeros((n,)*rank, dtype)
     for i in range(n):


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