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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 ........ svn path=/trunk/matplotlib/; revision=7111
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CHANGELOG

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======================================================================
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2009-05-13 An optional offset and bbox support in restore_bbox.
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2008-05-17 Release 0.98.5.3 at r7107 from the branch - JDH
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2009-05-13 An optional offset and bbox support in restore_bbox.
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Add animation_blit_gtk2.py. -JJL
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2009-05-13 psfrag in backend_ps now uses baseline-alignment
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2009-05-13 psfrag in backend_ps now uses baseline-alignment
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when preview.sty is used ((default is
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bottom-alignment). Also, a small api imporvement
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bottom-alignment). Also, a small api imporvement
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in OffsetBox-JJL
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2009-05-13 When the x-coordinate of a line is monotonically

doc/devel/release_guide.rst

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sftp> put matplotlib-0.98.2.tar.gz
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Uploading matplotlib-0.98.2.tar.gz to /incoming/j/jd/jdh2358/uploads/matplotlib-0.98.2.tar.gz
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* go https://sourceforge.net/project/admin/?group_id=80706 and do a
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* go https://sourceforge.net/project/admin/editpackages.php?group_id=80706 and do a
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file release. Click on the "Admin" tab to log in as an admin, and
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then the "File Releases" tab. Go to the bottom and click "add
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release" and enter the package name but not the version number in

lib/matplotlib/mlab.py

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pad_to = NFFT
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if scale_by_freq is None:
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warnings.warn("psd, csd, and specgram have changed to scale their "
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"densities by the sampling frequency for better MatLab "
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"compatibility. You can pass scale_by_freq=False to disable "
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"this behavior. Also, one-sided densities are scaled by a "
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"factor of 2.")
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scale_by_freq = True
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# For real x, ignore the negative frequencies unless told otherwise
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much faster.
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"""
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if typecode is not None:
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warnings.warn("Use dtype kwarg instead of typecode",
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DeprecationWarning)
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dtype = typecode
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iden = np.zeros((n,)*rank, dtype)
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for i in range(n):

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