Thread: SF.net SVN: matplotlib:[8932] trunk/matplotlib (Page 35)

Revision: 8932
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8932&view=rev
Author:   weathergod
Date:     2011-01-21 21:50:16 +0000 (Fri, 21 Jan 2011)

Log Message:
-----------
Merged revisions 8931 via svnmerge from 
https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/branches/v1_0_maint

........
  r8931 | weathergod | 2011-01-21 15:42:45 -0600 (Fri, 21 Jan 2011) | 3 lines
  
  Fixes colors normalization with 'under' colors in LinearSegmentedColormap (values between -1 and 0 were being made positive due to an int cast).
  Thanks to Eoghan Harrington for discovering and supplying the patch!
........

Modified Paths:
--------------
    trunk/matplotlib/lib/matplotlib/colors.py

Property Changed:
----------------
    trunk/matplotlib/
    trunk/matplotlib/doc/pyplots/README
    trunk/matplotlib/doc/sphinxext/gen_gallery.py
    trunk/matplotlib/doc/sphinxext/gen_rst.py
    trunk/matplotlib/examples/misc/multiprocess.py
    trunk/matplotlib/examples/mplot3d/contour3d_demo.py
    trunk/matplotlib/examples/mplot3d/contourf3d_demo.py
    trunk/matplotlib/examples/mplot3d/polys3d_demo.py
    trunk/matplotlib/examples/mplot3d/scatter3d_demo.py
    trunk/matplotlib/examples/mplot3d/surface3d_demo.py
    trunk/matplotlib/examples/mplot3d/wire3d_demo.py
    trunk/matplotlib/lib/matplotlib/sphinxext/mathmpl.py
    trunk/matplotlib/lib/matplotlib/sphinxext/only_directives.py
    trunk/matplotlib/lib/matplotlib/sphinxext/plot_directive.py
    trunk/matplotlib/lib/matplotlib/tests/baseline_images/test_spines/spines_axes_positions.png


Property changes on: trunk/matplotlib
___________________________________________________________________
Modified: svnmerge-integrated
   - /branches/mathtex:1-7263 /branches/v0_91_maint:1-6428 /branches/v0_98_5_maint:1-7253 /branches/v1_0_maint:1-8926 /trunk/matplotlib:1-7315
   + /trunk/matplotlib:1-7315 /branches/mathtex:1-7263 /branches/v0_98_5_maint:1-7253 /branches/v0_91_maint:1-6428 /branches/v1_0_maint:1-8926,8931
Modified: svn:mergeinfo
   - /branches/v0_91_maint:5753-5771
/branches/v0_98_5_maint:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
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Property changes on: trunk/matplotlib/doc/pyplots/README
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_98_5_maint/doc/pyplots/README:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
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Property changes on: trunk/matplotlib/doc/sphinxext/gen_gallery.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/doc/_templates/gen_gallery.py:5753-5771
/branches/v0_98_5_maint/doc/sphinxext/gen_gallery.py:6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
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Property changes on: trunk/matplotlib/doc/sphinxext/gen_rst.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/doc/examples/gen_rst.py:5753-5771
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Property changes on: trunk/matplotlib/examples/misc/multiprocess.py
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Modified: svn:mergeinfo
   - /branches/v0_91_maint/examples/misc/log.py:5753-5771
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Property changes on: trunk/matplotlib/examples/mplot3d/contour3d_demo.py
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Property changes on: trunk/matplotlib/examples/mplot3d/contourf3d_demo.py
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Property changes on: trunk/matplotlib/examples/mplot3d/polys3d_demo.py
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Property changes on: trunk/matplotlib/examples/mplot3d/scatter3d_demo.py
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Property changes on: trunk/matplotlib/examples/mplot3d/surface3d_demo.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/examples/mplot3d/surface.py:5753-5771
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[truncated message content]

Revision: 8934
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8934&view=rev
Author:   weathergod
Date:     2011-01-22 16:40:21 +0000 (Sat, 22 Jan 2011)

Log Message:
-----------
Merged revisions 8933 via svnmerge from 
https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/branches/v1_0_maint

........
  r8933 | weathergod | 2011-01-22 10:35:26 -0600 (Sat, 22 Jan 2011) | 3 lines
  
  Fixing problem where reversed colormaps of LinearSegmentedColormaps were not initialized properly.
  Thanks to LittleBigBrain for reporting and Friedrich Romstedt for making the original patch.
........

Modified Paths:
--------------
    trunk/matplotlib/lib/matplotlib/cm.py

Property Changed:
----------------
    trunk/matplotlib/
    trunk/matplotlib/doc/pyplots/README
    trunk/matplotlib/doc/sphinxext/gen_gallery.py
    trunk/matplotlib/doc/sphinxext/gen_rst.py
    trunk/matplotlib/examples/misc/multiprocess.py
    trunk/matplotlib/examples/mplot3d/contour3d_demo.py
    trunk/matplotlib/examples/mplot3d/contourf3d_demo.py
    trunk/matplotlib/examples/mplot3d/polys3d_demo.py
    trunk/matplotlib/examples/mplot3d/scatter3d_demo.py
    trunk/matplotlib/examples/mplot3d/surface3d_demo.py
    trunk/matplotlib/examples/mplot3d/wire3d_demo.py
    trunk/matplotlib/lib/matplotlib/sphinxext/mathmpl.py
    trunk/matplotlib/lib/matplotlib/sphinxext/only_directives.py
    trunk/matplotlib/lib/matplotlib/sphinxext/plot_directive.py
    trunk/matplotlib/lib/matplotlib/tests/baseline_images/test_spines/spines_axes_positions.png


Property changes on: trunk/matplotlib
___________________________________________________________________
Modified: svnmerge-integrated
   - /trunk/matplotlib:1-7315 /branches/mathtex:1-7263 /branches/v0_98_5_maint:1-7253 /branches/v0_91_maint:1-6428 /branches/v1_0_maint:1-8926,8931
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/doc/pyplots/README
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_98_5_maint/doc/pyplots/README:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
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Property changes on: trunk/matplotlib/doc/sphinxext/gen_gallery.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/doc/_templates/gen_gallery.py:5753-5771
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Property changes on: trunk/matplotlib/doc/sphinxext/gen_rst.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/doc/examples/gen_rst.py:5753-5771
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Property changes on: trunk/matplotlib/examples/misc/multiprocess.py
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Property changes on: trunk/matplotlib/examples/mplot3d/contour3d_demo.py
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Property changes on: trunk/matplotlib/examples/mplot3d/contourf3d_demo.py
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Property changes on: trunk/matplotlib/examples/mplot3d/polys3d_demo.py
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Property changes on: trunk/matplotlib/examples/mplot3d/scatter3d_demo.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/examples/mplot3d/surface3d_demo.py
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Modified: svn:mergeinfo
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/branches/v1_0_maint/examples/mplot3d/surface3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8...
 
[truncated message content]

Revision: 8942
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8942&view=rev
Author:   mdboom
Date:     2011-02-01 16:26:25 +0000 (Tue, 01 Feb 2011)

Log Message:
-----------
Merged revisions 8939 via svnmerge from 
https://matplotlib.svn.sf.net/svnroot/matplotlib/branches/v1_0_maint

........
  r8939 | mdboom | 2011-02-01 11:02:54 -0500 (Tue, 01 Feb 2011) | 1 line
  
  [3167200] Use from PIL import Image
........

Modified Paths:
--------------
    trunk/matplotlib/examples/pylab_examples/image_demo3.py
    trunk/matplotlib/examples/pylab_examples/to_numeric.py
    trunk/matplotlib/examples/user_interfaces/histogram_demo_canvasagg.py
    trunk/matplotlib/lib/matplotlib/backend_bases.py
    trunk/matplotlib/lib/matplotlib/image.py

Property Changed:
----------------
    trunk/matplotlib/
    trunk/matplotlib/doc/pyplots/README
    trunk/matplotlib/doc/sphinxext/gen_gallery.py
    trunk/matplotlib/doc/sphinxext/gen_rst.py
    trunk/matplotlib/examples/misc/multiprocess.py
    trunk/matplotlib/examples/mplot3d/contour3d_demo.py
    trunk/matplotlib/examples/mplot3d/contourf3d_demo.py
    trunk/matplotlib/examples/mplot3d/polys3d_demo.py
    trunk/matplotlib/examples/mplot3d/scatter3d_demo.py
    trunk/matplotlib/examples/mplot3d/surface3d_demo.py
    trunk/matplotlib/examples/mplot3d/wire3d_demo.py
    trunk/matplotlib/lib/matplotlib/sphinxext/mathmpl.py
    trunk/matplotlib/lib/matplotlib/sphinxext/only_directives.py
    trunk/matplotlib/lib/matplotlib/sphinxext/plot_directive.py
    trunk/matplotlib/lib/matplotlib/tests/baseline_images/test_spines/spines_axes_positions.png


Property changes on: trunk/matplotlib
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Modified: svnmerge-integrated
   - /trunk/matplotlib:1-7315 /branches/mathtex:1-7263 /branches/v0_91_maint:1-6428 /branches/v0_98_5_maint:1-7253 /branches/v1_0_maint:1-8926,8931,8933
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/doc/pyplots/README
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Modified: svn:mergeinfo
   - /branches/v0_98_5_maint/doc/pyplots/README:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
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Property changes on: trunk/matplotlib/doc/sphinxext/gen_gallery.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/doc/_templates/gen_gallery.py:5753-5771
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Property changes on: trunk/matplotlib/examples/misc/multiprocess.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/examples/mplot3d/contour3d_demo.py
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Property changes on: trunk/matplotlib/examples/mplot3d/contourf3d_demo.py
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   + /branches/v0_91_maint/examples/mplot3d/contourf.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/contourf.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/contourf3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/examples/mplot3d/contourf3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939


Property changes on: trunk/matplotlib/examples/mplot3d/polys3d_demo.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/examples/mplot3d/polys.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/polys.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/polys3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/examples/mplot3d/polys3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933
   + /branches/v0_91_maint/examples/mplot3d/polys.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/polys.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/polys3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/examples/mplot3d/polys3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939


Property changes on: trunk/matplotlib/examples/mplot3d/scatter3d_demo.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/examples/mplot3d/scatter.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/scatter.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/scatter3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/examples/mplot3d/scatter3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933
   + /branches/v0_91_maint/examples/mplot3d/scatter.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/scatter.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/scatter3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/examples/mplot3d/scatter3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939


Property changes on: trunk/matplotlib/examples/mplot3d/surface3d_demo.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/examples/mplot3d/surface.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/surface.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/surface3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991...
 
[truncated message content]

Revision: 8945
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8945&view=rev
Author:   efiring
Date:     2011-02-04 19:18:57 +0000 (Fri, 04 Feb 2011)

Log Message:
-----------
Image generation no longer generates double-precision rgba; patch by C. Gohlke

Image generation via color mapping was using doubles for rgba,
after which the _image module was converting rgba to uint8;
this patch saves time and memory by using the existing ability
of the colormap to generate uint8 directly.

Modified Paths:
--------------
    trunk/matplotlib/CHANGELOG
    trunk/matplotlib/lib/matplotlib/image.py

Modified: trunk/matplotlib/CHANGELOG
===================================================================
--- trunk/matplotlib/CHANGELOG	2011-02-01 17:57:23 UTC (rev 8944)
+++ trunk/matplotlib/CHANGELOG	2011-02-04 19:18:57 UTC (rev 8945)
@@ -1,3 +1,7 @@
+2011-02-04 Changed imshow to use rgba as uint8 from start to
+           finish, instead of going through an intermediate
+           step as double precision; thanks to Christoph Gohlke. - EF
+
 2011-01-13 Added zdir and offset arguments to contourf3d to
            bring contourf3d in feature parity with contour3d. - BVR
 
@@ -8,7 +12,7 @@
 2011-01-03 Turn off tick labeling on interior subplots for
            pyplots.subplots when sharex/sharey is True. - JDH
 
-2010-12-29 Implment axes_divider.HBox and VBox. -JJL
+2010-12-29 Implement axes_divider.HBox and VBox. -JJL
 
 
 2010-11-22 Fixed error with Hammer projection. - BVR

Modified: trunk/matplotlib/lib/matplotlib/image.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/image.py	2011-02-01 17:57:23 UTC (rev 8944)
+++ trunk/matplotlib/lib/matplotlib/image.py	2011-02-04 19:18:57 UTC (rev 8945)
@@ -138,7 +138,7 @@
     def _get_unsampled_image(self, A, image_extents, viewlim):
         """
         convert numpy array A with given extents ([x1, x2, y1, y2] in
-        data coordinate) into the Image, given the vielim (should be a
+        data coordinate) into the Image, given the viewlim (should be a
         bbox instance).  Image will be clipped if the extents is
         significantly larger than the viewlim.
         """
@@ -193,17 +193,17 @@
             self._oldyslice = yslice
 
         if self._imcache is None:
-            if self._A.dtype == np.uint8 and len(self._A.shape) == 3:
+            if self._A.dtype == np.uint8 and self._A.ndim == 3:
                 im = _image.frombyte(self._A[yslice,xslice,:], 0)
                 im.is_grayscale = False
             else:
                 if self._rgbacache is None:
-                    x = self.to_rgba(self._A, self._alpha)
+                    x = self.to_rgba(self._A, self._alpha, bytes=True)
                     self._rgbacache = x
                 else:
                     x = self._rgbacache
-                im = _image.fromarray(x[yslice,xslice], 0)
-                if len(self._A.shape) == 2:
+                im = _image.frombyte(x[yslice,xslice,:], 0)
+                if self._A.ndim == 2:
                     im.is_grayscale = self.cmap.is_gray()
                 else:
                     im.is_grayscale = False


This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.

Revision: 8946
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8946&view=rev
Author:   efiring
Date:     2011-02-05 20:56:02 +0000 (Sat, 05 Feb 2011)

Log Message:
-----------
speed up Normalize, LogNorm, colormapping; modified patch by C. Gohlke

Modified Paths:
--------------
    trunk/matplotlib/CHANGELOG
    trunk/matplotlib/examples/pylab_examples/image_slices_viewer.py
    trunk/matplotlib/lib/matplotlib/colors.py

Modified: trunk/matplotlib/CHANGELOG
===================================================================
--- trunk/matplotlib/CHANGELOG	2011-02-04 19:18:57 UTC (rev 8945)
+++ trunk/matplotlib/CHANGELOG	2011-02-05 20:56:02 UTC (rev 8946)
@@ -1,3 +1,8 @@
+2011-02-05 Speed up Normalize and LogNorm by using in-place
+           operations and by using float32 for float32 inputs
+           and for ints of 2 bytes or shorter; based on
+           patch by Christoph Gohlke. - EF
+
 2011-02-04 Changed imshow to use rgba as uint8 from start to
            finish, instead of going through an intermediate
            step as double precision; thanks to Christoph Gohlke. - EF

Modified: trunk/matplotlib/examples/pylab_examples/image_slices_viewer.py
===================================================================
--- trunk/matplotlib/examples/pylab_examples/image_slices_viewer.py	2011-02-04 19:18:57 UTC (rev 8945)
+++ trunk/matplotlib/examples/pylab_examples/image_slices_viewer.py	2011-02-05 20:56:02 UTC (rev 8946)
@@ -1,5 +1,5 @@
 import numpy
-from pylab import figure, show
+from matplotlib.pyplot import figure, show
 
 
 
@@ -7,7 +7,7 @@
 class IndexTracker:
     def __init__(self, ax, X):
         self.ax = ax
-        ax.set_title('use scroll wheen to navigate images')
+        ax.set_title('use scroll wheel to navigate images')
 
         self.X = X
         rows,cols,self.slices = X.shape
@@ -28,7 +28,7 @@
 
     def update(self):
         self.im.set_data(self.X[:,:,self.ind])
-        ax.set_ylabel('slice %s'%self.ind)        
+        ax.set_ylabel('slice %s'%self.ind)
         self.im.axes.figure.canvas.draw()
 
 

Modified: trunk/matplotlib/lib/matplotlib/colors.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/colors.py	2011-02-04 19:18:57 UTC (rev 8945)
+++ trunk/matplotlib/lib/matplotlib/colors.py	2011-02-05 20:56:02 UTC (rev 8946)
@@ -509,20 +509,22 @@
             xa = np.array([X])
         else:
             vtype = 'array'
-            # force a copy here -- the ma.array and filled functions
-            # do force a cop of the data by default - JDH
-            xma = ma.array(X, copy=True)
-            xa = xma.filled(0)
-            mask_bad = ma.getmask(xma)
+            xma = ma.array(X, copy=False)
+            mask_bad = xma.mask
+            xa = xma.data.copy()   # Copy here to avoid side effects.
+            del xma
+            # masked values are substituted below; no need to fill them here
+
         if xa.dtype.char in np.typecodes['Float']:
             np.putmask(xa, xa==1.0, 0.9999999) #Treat 1.0 as slightly less than 1.
             # The following clip is fast, and prevents possible
             # conversion of large positive values to negative integers.
 
+            xa *= self.N
             if NP_CLIP_OUT:
-                np.clip(xa * self.N, -1, self.N, out=xa)
+                np.clip(xa, -1, self.N, out=xa)
             else:
-                xa = np.clip(xa * self.N, -1, self.N)
+                xa = np.clip(xa, -1, self.N)
 
             # ensure that all 'under' values will still have negative
             # value after casting to int
@@ -532,8 +534,11 @@
         # otherwise the under-range values get converted to over-range.
         np.putmask(xa, xa>self.N-1, self._i_over)
         np.putmask(xa, xa<0, self._i_under)
-        if mask_bad is not None and mask_bad.shape == xa.shape:
-            np.putmask(xa, mask_bad, self._i_bad)
+        if mask_bad is not None:
+            if mask_bad.shape == xa.shape:
+                np.putmask(xa, mask_bad, self._i_bad)
+            elif mask_bad:
+                xa.fill(self._i_bad)
         if bytes:
             lut = (self._lut * 255).astype(np.uint8)
         else:
@@ -797,32 +802,60 @@
         self.vmax = vmax
         self.clip = clip
 
+    @staticmethod
+    def process_value(value):
+        """
+        Homogenize the input *value* for easy and efficient normalization.
+
+        *value* can be a scalar or sequence.
+
+        Returns *result*, *is_scalar*, where *result* is a
+        masked array matching *value*.  Float dtypes are preserved;
+        integer types with two bytes or smaller are converted to
+        np.float32, and larger types are converted to np.float.
+        Preserving float32 when possible, and using in-place operations,
+        can greatly improve speed for large arrays.
+
+        Experimental; we may want to add an option to force the
+        use of float32.
+        """
+        if cbook.iterable(value):
+            is_scalar = False
+            result = ma.asarray(value)
+            if result.dtype.kind == 'f':
+                if isinstance(value, np.ndarray):
+                    result = result.copy()
+            elif result.dtype.itemsize > 2:
+                result = result.astype(np.float)
+            else:
+                result = result.astype(np.float32)
+        else:
+            is_scalar = True
+            result = ma.array([value]).astype(np.float)
+        return result, is_scalar
+
     def __call__(self, value, clip=None):
         if clip is None:
             clip = self.clip
 
-        if cbook.iterable(value):
-            vtype = 'array'
-            val = ma.asarray(value).astype(np.float)
-        else:
-            vtype = 'scalar'
-            val = ma.array([value]).astype(np.float)
+        result, is_scalar = self.process_value(value)
 
-        self.autoscale_None(val)
+        self.autoscale_None(result)
         vmin, vmax = self.vmin, self.vmax
         if vmin > vmax:
             raise ValueError("minvalue must be less than or equal to maxvalue")
-        elif vmin==vmax:
-            result = 0.0 * val
+        elif vmin == vmax:
+            result.fill(0)   # Or should it be all masked?  Or 0.5?
         else:
             vmin = float(vmin)
             vmax = float(vmax)
             if clip:
-                mask = ma.getmask(val)
-                val = ma.array(np.clip(val.filled(vmax), vmin, vmax),
-                                mask=mask)
-            result = (val-vmin) / (vmax-vmin)
-        if vtype == 'scalar':
+                mask = ma.getmask(result)
+                result = ma.array(np.clip(result.filled(vmax), vmin, vmax),
+                                  mask=mask)
+            result -= vmin
+            result /= vmax - vmin
+        if is_scalar:
             result = result[0]
         return result
 
@@ -847,8 +880,10 @@
 
     def autoscale_None(self, A):
         ' autoscale only None-valued vmin or vmax'
-        if self.vmin is None: self.vmin = ma.min(A)
-        if self.vmax is None: self.vmax = ma.max(A)
+        if self.vmin is None:
+            self.vmin = ma.min(A)
+        if self.vmax is None:
+            self.vmax = ma.max(A)
 
     def scaled(self):
         'return true if vmin and vmax set'
@@ -862,30 +897,29 @@
         if clip is None:
             clip = self.clip
 
-        if cbook.iterable(value):
-            vtype = 'array'
-            val = ma.asarray(value).astype(np.float)
-        else:
-            vtype = 'scalar'
-            val = ma.array([value]).astype(np.float)
+        result, is_scalar = self.process_value(value)
 
-        val = ma.masked_less_equal(val, 0, copy=False)
+        result = ma.masked_less_equal(result, 0, copy=False)
 
-        self.autoscale_None(val)
+        self.autoscale_None(result)
         vmin, vmax = self.vmin, self.vmax
         if vmin > vmax:
             raise ValueError("minvalue must be less than or equal to maxvalue")
         elif vmin<=0:
             raise ValueError("values must all be positive")
         elif vmin==vmax:
-            result = 0.0 * val
+            result.fill(0)
         else:
             if clip:
-                mask = ma.getmask(val)
-                val = ma.array(np.clip(val.filled(vmax), vmin, vmax),
+                mask = ma.getmask(result)
+                val = ma.array(np.clip(result.filled(vmax), vmin, vmax),
                                 mask=mask)
-            result = (ma.log(val)-np.log(vmin))/(np.log(vmax)-np.log(vmin))
-        if vtype == 'scalar':
+            #result = (ma.log(result)-np.log(vmin))/(np.log(vmax)-np.log(vmin))
+            # in-place equivalent of above can be much faster
+            np.ma.log(result, result)
+            result -= np.log(vmin)
+            result /= (np.log(vmax) - np.log(vmin))
+        if is_scalar:
             result = result[0]
         return result
 


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Revision: 8947
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8947&view=rev
Author:   efiring
Date:     2011-02-05 21:57:21 +0000 (Sat, 05 Feb 2011)

Log Message:
-----------
cbook.report_memory: add Windows support via "tasklist"

Modified Paths:
--------------
    trunk/matplotlib/CHANGELOG
    trunk/matplotlib/lib/matplotlib/cbook.py

Modified: trunk/matplotlib/CHANGELOG
===================================================================
--- trunk/matplotlib/CHANGELOG	2011-02-05 20:56:02 UTC (rev 8946)
+++ trunk/matplotlib/CHANGELOG	2011-02-05 21:57:21 UTC (rev 8947)
@@ -1,3 +1,6 @@
+2011-02-05 Add cbook memory monitoring for Windows, using
+           tasklist. - EF
+
 2011-02-05 Speed up Normalize and LogNorm by using in-place
            operations and by using float32 for float32 inputs
            and for ints of 2 bytes or shorter; based on

Modified: trunk/matplotlib/lib/matplotlib/cbook.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/cbook.py	2011-02-05 20:56:02 UTC (rev 8946)
+++ trunk/matplotlib/lib/matplotlib/cbook.py	2011-02-05 21:57:21 UTC (rev 8947)
@@ -1233,7 +1233,7 @@
 
 def report_memory(i=0):  # argument may go away
     'return the memory consumed by process'
-    from subprocess import Popen, PIPE
+    from subprocess import Popen, PIPE, check_output
     pid = os.getpid()
     if sys.platform=='sunos5':
         a2 = Popen('ps -p %d -o osz' % pid, shell=True,
@@ -1247,7 +1247,12 @@
         a2 = Popen('ps -p %d -o rss,vsz' % pid, shell=True,
             stdout=PIPE).stdout.readlines()
         mem = int(a2[1].split()[0])
-
+    elif sys.platform.startswith('win'):
+        a2 = check_output(["tasklist", "/nh", "/fi", "pid eq %d" % pid])
+        mem = int(a2.strip().split()[-2].replace(',',''))
+    else:
+        raise NotImplementedError(
+                "We don't have a memory monitor for %s" % sys.platform)
     return mem
 
 _safezip_msg = 'In safezip, len(args[0])=%d but len(args[%d])=%d'


This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.

Revision: 8948
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8948&view=rev
Author:   efiring
Date:     2011-02-06 00:43:54 +0000 (Sun, 06 Feb 2011)

Log Message:
-----------
image: more conversion to use rgba bytes, other minor cleanup

Modified Paths:
--------------
    trunk/matplotlib/examples/pylab_examples/toggle_images.py
    trunk/matplotlib/lib/matplotlib/image.py

Modified: trunk/matplotlib/examples/pylab_examples/toggle_images.py
===================================================================
--- trunk/matplotlib/examples/pylab_examples/toggle_images.py	2011-02-05 21:57:21 UTC (rev 8947)
+++ trunk/matplotlib/examples/pylab_examples/toggle_images.py	2011-02-06 00:43:54 UTC (rev 8948)
@@ -5,7 +5,7 @@
 them to the same axes with hold "on".  Then, toggle the visible property of
 them using keypress event handling
 
-If you want two images with sifferent shapes to be plotted with the same
+If you want two images with different shapes to be plotted with the same
 extent, they must have the same "extent" property
 
 As usual, we'll define some random images for demo.  Real data is much more

Modified: trunk/matplotlib/lib/matplotlib/image.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/image.py	2011-02-05 21:57:21 UTC (rev 8947)
+++ trunk/matplotlib/lib/matplotlib/image.py	2011-02-06 00:43:54 UTC (rev 8948)
@@ -654,7 +654,8 @@
     def __init__(self, ax, **kwargs):
         """
         kwargs are identical to those for AxesImage, except
-        that 'interpolation' defaults to 'nearest'
+        that 'interpolation' defaults to 'nearest', and 'bilinear'
+        is the only alternative.
         """
         interp = kwargs.pop('interpolation', 'nearest')
         AxesImage.__init__(self, ax,
@@ -712,7 +713,7 @@
             A.shape = A.shape[0:2]
         if len(A.shape) == 2:
             if A.dtype != np.uint8:
-                A = (self.cmap(self.norm(A))*255).astype(np.uint8)
+                A = self.to_rgba(A, alpha=self._alpha, bytes=True)
                 self.is_grayscale = self.cmap.is_gray()
             else:
                 A = np.repeat(A[:,:,np.newaxis], 4, 2)
@@ -956,7 +957,7 @@
         if self._A is None:
             raise RuntimeError('You must first set the image array')
 
-        x = self.to_rgba(self._A, self._alpha)
+        x = self.to_rgba(self._A, self._alpha, bytes=True)
         self.magnification = magnification
         # if magnification is not one, we need to resize
         ismag = magnification!=1
@@ -965,7 +966,7 @@
             isoutput = 0
         else:
             isoutput = 1
-        im = _image.fromarray(x, isoutput)
+        im = _image.frombyte(x, isoutput)
         fc = self.figure.get_facecolor()
         im.set_bg( *mcolors.colorConverter.to_rgba(fc, 0) )
         im.is_grayscale = (self.cmap.name == "gray" and
@@ -1078,11 +1079,11 @@
                 im.is_grayscale = False
             else:
                 if self._rgbacache is None:
-                    x = self.to_rgba(self._A, self._alpha)
+                    x = self.to_rgba(self._A, self._alpha, bytes=True)
                     self._rgbacache = x
                 else:
                     x = self._rgbacache
-                im = _image.fromarray(x, 0)
+                im = _image.frombyte(x, 0)
                 if len(self._A.shape) == 2:
                     im.is_grayscale = self.cmap.is_gray()
                 else:


This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.

Revision: 8954
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8954&view=rev
Author:   efiring
Date:     2011-02-06 17:53:33 +0000 (Sun, 06 Feb 2011)

Log Message:
-----------
Merged revisions 8953 via svnmerge from 
https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/branches/v1_0_maint

........
  r8953 | efiring | 2011-02-06 07:49:43 -1000 (Sun, 06 Feb 2011) | 2 lines
  
  bug: xlim, ylim with no arguments should not affect autoscaling
........

Modified Paths:
--------------
    trunk/matplotlib/lib/matplotlib/pyplot.py

Property Changed:
----------------
    trunk/matplotlib/
    trunk/matplotlib/doc/pyplots/README
    trunk/matplotlib/doc/sphinxext/gen_gallery.py
    trunk/matplotlib/doc/sphinxext/gen_rst.py
    trunk/matplotlib/examples/misc/multiprocess.py
    trunk/matplotlib/examples/mplot3d/contour3d_demo.py
    trunk/matplotlib/examples/mplot3d/contourf3d_demo.py
    trunk/matplotlib/examples/mplot3d/polys3d_demo.py
    trunk/matplotlib/examples/mplot3d/scatter3d_demo.py
    trunk/matplotlib/examples/mplot3d/surface3d_demo.py
    trunk/matplotlib/examples/mplot3d/wire3d_demo.py
    trunk/matplotlib/lib/matplotlib/sphinxext/mathmpl.py
    trunk/matplotlib/lib/matplotlib/sphinxext/only_directives.py
    trunk/matplotlib/lib/matplotlib/sphinxext/plot_directive.py
    trunk/matplotlib/lib/matplotlib/tests/baseline_images/test_spines/spines_axes_positions.png


Property changes on: trunk/matplotlib
___________________________________________________________________
Modified: svnmerge-integrated
   - /branches/mathtex:1-7263 /branches/v0_91_maint:1-6428 /branches/v0_98_5_maint:1-7253 /branches/v1_0_maint:1-8940 /trunk/matplotlib:1-7315
   + /branches/mathtex:1-7263 /branches/v0_91_maint:1-6428 /branches/v0_98_5_maint:1-7253 /branches/v1_0_maint:1-8953 /trunk/matplotlib:1-7315
Modified: svn:mergeinfo
   - /branches/v0_91_maint:5753-5771
/branches/v0_98_5_maint:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
/branches/v0_99_maint:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939
   + /branches/v0_91_maint:5753-5771
/branches/v0_98_5_maint:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
/branches/v0_99_maint:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939,8953


Property changes on: trunk/matplotlib/doc/pyplots/README
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_98_5_maint/doc/pyplots/README:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
/branches/v0_99_maint/doc/pyplots/README:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/doc/pyplots/README:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939
   + /branches/v0_98_5_maint/doc/pyplots/README:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
/branches/v0_99_maint/doc/pyplots/README:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/doc/pyplots/README:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939,8953


Property changes on: trunk/matplotlib/doc/sphinxext/gen_gallery.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/doc/_templates/gen_gallery.py:5753-5771
/branches/v0_98_5_maint/doc/sphinxext/gen_gallery.py:6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
/branches/v0_99_maint/doc/sphinxext/gen_gallery.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
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Property changes on: trunk/matplotlib/doc/sphinxext/gen_rst.py
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Property changes on: trunk/matplotlib/examples/misc/multiprocess.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/examples/mplot3d/contour3d_demo.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/examples/mplot3d/contourf3d_demo.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/examples/mplot3d/polys3d_demo.py
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Modified: svn:mergeinfo
   - /branches/v0_91_maint/examples/mplot3d/polys.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/polys.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
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/branches/v1_0_maint/examples/mplot3d/polys3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939
   + /branches/v0_91_maint/examples/mplot3d/polys.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/polys.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
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Property changes on: trunk/matplotlib/examples/mplot3d/scatter3d_demo.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/examples/mplot3d/scatter.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/scatter.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/scatter3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/examples/mplot3d/scatter3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939
   + /branches/v0_91_maint/examples/mplot3d/scatter.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/scatter.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/scatter3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
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Property changes on: trunk/matplotlib/examples/mplot3d/surface3d_demo.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/examples/mplot3d/surface.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/surface.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/surface3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/examples/mplot3d/surface3d_demo.py:8521,8524-854...
 
[truncated message content]

Revision: 8956
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8956&view=rev
Author:   jouni
Date:     2011-02-07 16:51:04 +0000 (Mon, 07 Feb 2011)

Log Message:
-----------
Quick workaround for dviread bug #3175113

Modified Paths:
--------------
    trunk/matplotlib/CHANGELOG
    trunk/matplotlib/lib/matplotlib/dviread.py

Property Changed:
----------------
    trunk/matplotlib/
    trunk/matplotlib/doc/pyplots/README
    trunk/matplotlib/doc/sphinxext/gen_gallery.py
    trunk/matplotlib/doc/sphinxext/gen_rst.py
    trunk/matplotlib/examples/misc/multiprocess.py
    trunk/matplotlib/examples/mplot3d/contour3d_demo.py
    trunk/matplotlib/examples/mplot3d/contourf3d_demo.py
    trunk/matplotlib/examples/mplot3d/polys3d_demo.py
    trunk/matplotlib/examples/mplot3d/scatter3d_demo.py
    trunk/matplotlib/examples/mplot3d/surface3d_demo.py
    trunk/matplotlib/examples/mplot3d/wire3d_demo.py
    trunk/matplotlib/lib/matplotlib/sphinxext/mathmpl.py
    trunk/matplotlib/lib/matplotlib/sphinxext/only_directives.py
    trunk/matplotlib/lib/matplotlib/sphinxext/plot_directive.py
    trunk/matplotlib/lib/matplotlib/tests/baseline_images/test_spines/spines_axes_positions.png


Property changes on: trunk/matplotlib
___________________________________________________________________
Modified: svnmerge-integrated
   - /branches/mathtex:1-7263 /branches/v0_91_maint:1-6428 /branches/v0_98_5_maint:1-7253 /branches/v1_0_maint:1-8953 /trunk/matplotlib:1-7315
   + /trunk/matplotlib:1-7315 /branches/mathtex:1-7263 /branches/v0_91_maint:1-6428 /branches/v0_98_5_maint:1-7253 /branches/v1_0_maint:1-8955
Modified: svn:mergeinfo
   - /branches/v0_91_maint:5753-5771
/branches/v0_98_5_maint:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
/branches/v0_99_maint:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939,8953
   + /branches/v0_91_maint:5753-5771
/branches/v0_98_5_maint:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
/branches/v0_99_maint:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939,8953,8955

Modified: trunk/matplotlib/CHANGELOG
===================================================================
--- trunk/matplotlib/CHANGELOG	2011-02-07 16:42:17 UTC (rev 8955)
+++ trunk/matplotlib/CHANGELOG	2011-02-07 16:51:04 UTC (rev 8956)
@@ -1,3 +1,5 @@
+2011-02-07 Quick workaround for dviread bug #3175113 - JKS
+
 2011-02-05 Add cbook memory monitoring for Windows, using
            tasklist. - EF
 


Property changes on: trunk/matplotlib/doc/pyplots/README
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_98_5_maint/doc/pyplots/README:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
/branches/v0_99_maint/doc/pyplots/README:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
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Property changes on: trunk/matplotlib/doc/sphinxext/gen_gallery.py
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Property changes on: trunk/matplotlib/doc/sphinxext/gen_rst.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/examples/misc/multiprocess.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/examples/mplot3d/contour3d_demo.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/examples/mplot3d/contourf3d_demo.py
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Modified: svn:mergeinfo
   - /branches/v0_91_maint/examples/mplot3d/contourf.py:5753-5771
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/branches/v0_99_maint/examples/mplot3d/contourf3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/examples/mplot3d/contourf3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939,8953
   + /branches/v0_91_maint/examples/mplot3d/contourf.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/contourf.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/contourf3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/examples/mplot3d/contourf3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939,8953,8955


Property changes on: trunk/matplotlib/examples/mplot3d/polys3d_demo.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/examples/mplot3d/polys.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/polys.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/polys3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/examples/mplot3d/polys3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939,8953
   + /branches/v0_91_maint/examples/mplot3d/polys.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/polys.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/polys3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/examples/mplot3d/polys3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939,8953,8955


Property changes on: trunk/matplotlib/examples/mplot3d/scatter3d_demo.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/examples/mplot3d/scatter.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/scatter.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/scatter3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/examples/mplot3d/scatter3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939,8953
   + /branches/v0_91_maint/examples/mplot3d/scatter.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/scatter.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/scatter3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/examples/mplot3d/scatter3d_demo.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770,8772,8774,8776,8778,8780,8785,8788,8790,8794,8798-8799,8808,8815,8830,8835,8841-8842,8844-8846,8870-8899,8902-8906,8908,8911,8920,8926,8931,8933,8939,8953,8955


Property changes on: trunk/matplotlib/examples/mplot3d/surface3d_demo.py
___________________________________________________________________
Modified: svn:mergeinfo
   - /branches/v0_91_maint/examples/mplot3d/surface.py:5753-5771
/branches/v0_98_5_maint/examples/mplot3d/surface.py:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080
/branches/v0_99_maint/examples/mplot3d/surface3d_demo.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,...
 
[truncated message content]

Revision: 8988
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8988&view=rev
Author:   weathergod
Date:     2011-02-18 19:28:29 +0000 (Fri, 18 Feb 2011)

Log Message:
-----------
scatter() now supports empty arrays as input (i.e., scatter([], []) is now valid).
Enabling this required fixes in both scatter() and in collections.py.
Collections now support empty versions of themselves more correctly due to these fixes.

Modified Paths:
--------------
    trunk/matplotlib/CHANGELOG
    trunk/matplotlib/lib/matplotlib/axes.py
    trunk/matplotlib/lib/matplotlib/collections.py

Modified: trunk/matplotlib/CHANGELOG
===================================================================
--- trunk/matplotlib/CHANGELOG	2011-02-17 16:44:28 UTC (rev 8987)
+++ trunk/matplotlib/CHANGELOG	2011-02-18 19:28:29 UTC (rev 8988)
@@ -1,3 +1,6 @@
+2011-02-18 scatter([], []) is now valid.  Also fixed issues
+           with empty collections - BVR
+
 2011-02-07 Quick workaround for dviread bug #3175113 - JKS
 
 2011-02-05 Add cbook memory monitoring for Windows, using

Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py	2011-02-17 16:44:28 UTC (rev 8987)
+++ trunk/matplotlib/lib/matplotlib/axes.py	2011-02-18 19:28:29 UTC (rev 8988)
@@ -5832,24 +5832,17 @@
             else:
                 collection.autoscale_None()
 
-        temp_x = x
-        temp_y = y
-
-        minx = np.amin(temp_x)
-        maxx = np.amax(temp_x)
-        miny = np.amin(temp_y)
-        maxy = np.amax(temp_y)
-
-        w = maxx-minx
-        h = maxy-miny
-
         # the pad is a little hack to deal with the fact that we don't
         # want to transform all the symbols whose scales are in points
         # to data coords to get the exact bounding box for efficiency
         # reasons.  It can be done right if this is deemed important
-        padx, pady = 0.05*w, 0.05*h
-        corners = (minx-padx, miny-pady), (maxx+padx, maxy+pady)
-        self.update_datalim( corners)
+        # Also, only bother with this padding if there is anything to draw.
+        if self._xmargin < 0.05 and x.size > 0 :
+            self.set_xmargin(0.05)
+
+        if self._ymargin < 0.05 and x.size > 0 :
+            self.set_ymargin(0.05)
+
         self.autoscale_view()
 
         # add the collection last

Modified: trunk/matplotlib/lib/matplotlib/collections.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/collections.py	2011-02-17 16:44:28 UTC (rev 8987)
+++ trunk/matplotlib/lib/matplotlib/collections.py	2011-02-18 19:28:29 UTC (rev 8988)
@@ -59,6 +59,8 @@
     scalar mappable will be made to set the face colors.
     """
     _offsets = np.array([], np.float_)
+    # _offsets must be a Nx2 array!
+    _offsets.shape = (0, 2)
     _transOffset = transforms.IdentityTransform()
     _transforms = []
 
@@ -95,10 +97,11 @@
 
         self._uniform_offsets = None
         self._offsets = np.array([], np.float_)
+        # Force _offsets to be Nx2
+        self._offsets.shape = (0, 2)
         if offsets is not None:
             offsets = np.asarray(offsets)
-            if len(offsets.shape) == 1:
-                offsets = offsets[np.newaxis,:]  # Make it Nx2.
+            offsets.shape = (-1, 2)             # Make it Nx2
             if transOffset is not None:
                 self._offsets = offsets
                 self._transOffset = transOffset
@@ -148,13 +151,17 @@
         transOffset = self._transOffset
         offsets = self._offsets
         paths = self.get_paths()
+
+
         if not transform.is_affine:
             paths = [transform.transform_path_non_affine(p) for p in paths]
             transform = transform.get_affine()
         if not transOffset.is_affine:
             offsets = transOffset.transform_non_affine(offsets)
             transOffset = transOffset.get_affine()
+
         offsets = np.asarray(offsets, np.float_)
+        offsets.shape = (-1, 2)                     # Make it Nx2
 
         result = mpath.get_path_collection_extents(
             transform.frozen(), paths, self.get_transforms(),
@@ -176,6 +183,7 @@
         offsets = self._offsets
         paths = self.get_paths()
 
+
         if self.have_units():
             paths = []
             for path in self.get_paths():
@@ -184,17 +192,19 @@
                 xs = self.convert_xunits(xs)
                 ys = self.convert_yunits(ys)
                 paths.append(mpath.Path(zip(xs, ys), path.codes))
-            if len(self._offsets):
-                xs = self.convert_xunits(self._offsets[:,0])
-                ys = self.convert_yunits(self._offsets[:,1])
+
+            if offsets.size > 0:
+                xs = self.convert_xunits(offsets[:,0])
+                ys = self.convert_yunits(offsets[:,1])
                 offsets = zip(xs, ys)
 
         offsets = np.asarray(offsets, np.float_)
+        offsets.shape = (-1, 2)             # Make it Nx2
 
         if not transform.is_affine:
             paths = [transform.transform_path_non_affine(path) for path in paths]
             transform = transform.get_affine()
-        if not transOffset.is_affine:
+        if not transOffset.is_affine :
             offsets = transOffset.transform_non_affine(offsets)
             transOffset = transOffset.get_affine()
 
@@ -258,8 +268,7 @@
         ACCEPTS: float or sequence of floats
         """
         offsets = np.asarray(offsets, np.float_)
-        if len(offsets.shape) == 1:
-            offsets = offsets[np.newaxis,:]  # Make it Nx2.
+        offsets.shape = (-1, 2)             # Make it Nx2
         #This decision is based on how they are initialized above
         if self._uniform_offsets is None:
             self._offsets = offsets
@@ -1221,6 +1230,7 @@
                 offsets = zip(xs, ys)
 
         offsets = np.asarray(offsets, np.float_)
+        offsets.shape = (-1, 2)                 # Make it Nx2
 
         self.update_scalarmappable()
 


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