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Revision: 7570 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7570&view=rev Author: mdboom Date: 2009年08月25日 20:06:13 +0000 (2009年8月25日) Log Message: ----------- Merged revisions 7569 via svnmerge from https://matplotlib.svn.sf.net/svnroot/matplotlib/branches/v0_99_maint ........ r7569 | mdboom | 2009年08月25日 16:04:34 -0400 (2009年8月25日) | 2 lines Fix cohere_pairs docstring so it builds with new versions of Sphinx ........ Modified Paths: -------------- trunk/matplotlib/lib/matplotlib/mlab.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 Property changes on: trunk/matplotlib ___________________________________________________________________ Modified: svnmerge-integrated - /branches/mathtex:1-7263 /branches/v0_98_5_maint:1-7253 /branches/v0_99_maint:1-7567 + /branches/mathtex:1-7263 /branches/v0_98_5_maint:1-7253 /branches/v0_99_maint:1-7569 Modified: svn:mergeinfo - 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/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:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567 + /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:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569 Property changes on: trunk/matplotlib/examples/mplot3d/wire3d_demo.py ___________________________________________________________________ Modified: svn:mergeinfo - /branches/v0_91_maint/examples/mplot3d/wire.py:5753-5771 /branches/v0_98_5_maint/examples/mplot3d/wire.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/wire3d_demo.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567 + /branches/v0_91_maint/examples/mplot3d/wire.py:5753-5771 /branches/v0_98_5_maint/examples/mplot3d/wire.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/wire3d_demo.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569 Modified: trunk/matplotlib/lib/matplotlib/mlab.py =================================================================== --- trunk/matplotlib/lib/matplotlib/mlab.py 2009年08月25日 20:04:34 UTC (rev 7569) +++ trunk/matplotlib/lib/matplotlib/mlab.py 2009年08月25日 20:06:13 UTC (rev 7570) @@ -497,77 +497,80 @@ returnPxx=False): u""" - Cxy, Phase, freqs = cohere_pairs( X, ij, ...) + Call signature:: - Compute the coherence and phase for all pairs ij, in X. + Cxy, Phase, freqs = cohere_pairs( X, ij, ...) - Parameters - ---------- - X: array - a numSamples*numCols array + Compute the coherence and phase for all pairs *ij*, in *X*. - ij: list of tuples - Each tuple is a pair of indexes into the columns of X for which you want to - compute coherence. For example, if X has 64 columns, and you want to - compute all nonredundant pairs, define ij as + *X* is a *numSamples* * *numCols* array + *ij* is a list of tuples. Each tuple is a pair of indexes into + the columns of X for which you want to compute coherence. For + example, if *X* has 64 columns, and you want to compute all + nonredundant pairs, define *ij* as:: + ij = [] for i in range(64): for j in range(i+1,64): ij.append( (i,j) ) - preferSpeedOverMemory: optional, bool + *preferSpeedOverMemory* is an optional bool. Defaults to true. If + False, limits the caching by only making one, rather than two, + complex cache arrays. This is useful if memory becomes critical. + Even when *preferSpeedOverMemory* is False, :func:`cohere_pairs` + will still give significant performace gains over calling + :func:`cohere` for each pair, and will use subtantially less + memory than if *preferSpeedOverMemory* is True. In my tests with + a 43000,64 array over all nonredundant pairs, + *preferSpeedOverMemory* = True delivered a 33% performance boost + on a 1.7GHZ Athlon with 512MB RAM compared with + *preferSpeedOverMemory* = False. But both solutions were more + than 10x faster than naively crunching all possible pairs through + :func:`cohere`. - Defaults to true. If false, limits the caching by only making one, rather - than two, complex cache arrays. This is useful if memory becomes critical. - Even when preferSpeedOverMemory is false, cohere_pairs will still give - significant performace gains over calling cohere for each pair, and will - use subtantially less memory than if preferSpeedOverMemory is true. In my - tests with a 43000,64 array over all nonredundant pairs, - preferSpeedOverMemory=1 delivered a 33% performace boost on a 1.7GHZ Athlon - with 512MB RAM compared with preferSpeedOverMemory=0. But both solutions - were more than 10x faster than naievly crunching all possible pairs through - cohere. - - Returns - ------- + Returns:: - (Cxy, Phase, freqs), where: - - Cxy: dictionary of (i,j) tuples -> coherence vector for that - pair. Ie, Cxy[(i,j) = cohere(X[:,i], X[:,j]). Number of - dictionary keys is len(ij) + (Cxy, Phase, freqs) - Phase: dictionary of phases of the cross spectral density at - each frequency for each pair. keys are (i,j). + where: - freqs: vector of frequencies, equal in length to either the - coherence or phase vectors for any i,j key. + - *Cxy*: dictionary of (*i*, *j*) tuples -> coherence vector for + that pair. I.e., ``Cxy[(i,j) = cohere(X[:,i], X[:,j])``. + Number of dictionary keys is ``len(ij)``. - Eg, to make a coherence Bode plot: + - *Phase*: dictionary of phases of the cross spectral density at + each frequency for each pair. Keys are (*i*, *j*). + - *freqs*: vector of frequencies, equal in length to either the + coherence or phase vectors for any (*i*, *j*) key. + + Eg., to make a coherence Bode plot:: + subplot(211) plot( freqs, Cxy[(12,19)]) subplot(212) plot( freqs, Phase[(12,19)]) - For a large number of pairs, cohere_pairs can be much more - efficient than just calling cohere for each pair, because it - caches most of the intensive computations. If N is the number of - pairs, this function is O(N) for most of the heavy lifting, - whereas calling cohere for each pair is O(N^2). However, because - of the caching, it is also more memory intensive, making 2 - additional complex arrays with approximately the same number of - elements as X. + For a large number of pairs, :func:`cohere_pairs` can be much more + efficient than just calling :func:`cohere` for each pair, because + it caches most of the intensive computations. If :math:`N` is the + number of pairs, this function is :math:`O(N)` for most of the + heavy lifting, whereas calling cohere for each pair is + :math:`O(N^2)`. However, because of the caching, it is also more + memory intensive, making 2 additional complex arrays with + approximately the same number of elements as *X*. - See test/cohere_pairs_test.py in the src tree for an example - script that shows that this cohere_pairs and cohere give the same - results for a given pair. + See :file:`test/cohere_pairs_test.py` in the src tree for an + example script that shows that this :func:`cohere_pairs` and + :func:`cohere` give the same results for a given pair. - See also - -------- - :func: psd - """ + .. sealso:: + + :func:`psd` + For information about the methods used to compute + :math:`P_{xy}`, :math:`P_{xx}` and :math:`P_{yy}`. + """ numRows, numCols = X.shape # zero pad if X is too short Property changes on: trunk/matplotlib/lib/matplotlib/sphinxext/mathmpl.py ___________________________________________________________________ Modified: svn:mergeinfo - /branches/v0_91_maint/doc/sphinxext/mathmpl.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/mathmpl.py: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/lib/matplotlib/sphinxext/mathmpl.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567 + /branches/v0_91_maint/doc/sphinxext/mathmpl.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/mathmpl.py: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/lib/matplotlib/sphinxext/mathmpl.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569 Property changes on: trunk/matplotlib/lib/matplotlib/sphinxext/only_directives.py ___________________________________________________________________ Modified: svn:mergeinfo - /branches/v0_91_maint/doc/sphinxext/only_directives.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/only_directives.py: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/lib/matplotlib/sphinxext/only_directives.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567 + /branches/v0_91_maint/doc/sphinxext/only_directives.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/only_directives.py: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/lib/matplotlib/sphinxext/only_directives.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569 Property changes on: trunk/matplotlib/lib/matplotlib/sphinxext/plot_directive.py ___________________________________________________________________ Modified: svn:mergeinfo - /branches/v0_91_maint/doc/sphinxext/plot_directive.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/plot_directive.py:6920-6925,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245 /branches/v0_99_maint/lib/matplotlib/sphinxext/plot_directive.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567 + /branches/v0_91_maint/doc/sphinxext/plot_directive.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/plot_directive.py:6920-6925,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245 /branches/v0_99_maint/lib/matplotlib/sphinxext/plot_directive.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569 This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
Revision: 7569 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7569&view=rev Author: mdboom Date: 2009年08月25日 20:04:34 +0000 (2009年8月25日) Log Message: ----------- Fix cohere_pairs docstring so it builds with new versions of Sphinx Modified Paths: -------------- branches/v0_99_maint/lib/matplotlib/mlab.py Modified: branches/v0_99_maint/lib/matplotlib/mlab.py =================================================================== --- branches/v0_99_maint/lib/matplotlib/mlab.py 2009年08月25日 15:32:13 UTC (rev 7568) +++ branches/v0_99_maint/lib/matplotlib/mlab.py 2009年08月25日 20:04:34 UTC (rev 7569) @@ -501,77 +501,80 @@ returnPxx=False): u""" - Cxy, Phase, freqs = cohere_pairs( X, ij, ...) + Call signature:: - Compute the coherence and phase for all pairs ij, in X. + Cxy, Phase, freqs = cohere_pairs( X, ij, ...) - Parameters - ---------- - X: array - a numSamples*numCols array + Compute the coherence and phase for all pairs *ij*, in *X*. - ij: list of tuples - Each tuple is a pair of indexes into the columns of X for which you want to - compute coherence. For example, if X has 64 columns, and you want to - compute all nonredundant pairs, define ij as + *X* is a *numSamples* * *numCols* array + *ij* is a list of tuples. Each tuple is a pair of indexes into + the columns of X for which you want to compute coherence. For + example, if *X* has 64 columns, and you want to compute all + nonredundant pairs, define *ij* as:: + ij = [] for i in range(64): for j in range(i+1,64): ij.append( (i,j) ) - preferSpeedOverMemory: optional, bool + *preferSpeedOverMemory* is an optional bool. Defaults to true. If + False, limits the caching by only making one, rather than two, + complex cache arrays. This is useful if memory becomes critical. + Even when *preferSpeedOverMemory* is False, :func:`cohere_pairs` + will still give significant performace gains over calling + :func:`cohere` for each pair, and will use subtantially less + memory than if *preferSpeedOverMemory* is True. In my tests with + a 43000,64 array over all nonredundant pairs, + *preferSpeedOverMemory* = True delivered a 33% performance boost + on a 1.7GHZ Athlon with 512MB RAM compared with + *preferSpeedOverMemory* = False. But both solutions were more + than 10x faster than naively crunching all possible pairs through + :func:`cohere`. - Defaults to true. If false, limits the caching by only making one, rather - than two, complex cache arrays. This is useful if memory becomes critical. - Even when preferSpeedOverMemory is false, cohere_pairs will still give - significant performace gains over calling cohere for each pair, and will - use subtantially less memory than if preferSpeedOverMemory is true. In my - tests with a 43000,64 array over all nonredundant pairs, - preferSpeedOverMemory=1 delivered a 33% performace boost on a 1.7GHZ Athlon - with 512MB RAM compared with preferSpeedOverMemory=0. But both solutions - were more than 10x faster than naievly crunching all possible pairs through - cohere. - - Returns - ------- + Returns:: - (Cxy, Phase, freqs), where: - - Cxy: dictionary of (i,j) tuples -> coherence vector for that - pair. Ie, Cxy[(i,j) = cohere(X[:,i], X[:,j]). Number of - dictionary keys is len(ij) + (Cxy, Phase, freqs) - Phase: dictionary of phases of the cross spectral density at - each frequency for each pair. keys are (i,j). + where: - freqs: vector of frequencies, equal in length to either the - coherence or phase vectors for any i,j key. + - *Cxy*: dictionary of (*i*, *j*) tuples -> coherence vector for + that pair. I.e., ``Cxy[(i,j) = cohere(X[:,i], X[:,j])``. + Number of dictionary keys is ``len(ij)``. - Eg, to make a coherence Bode plot: + - *Phase*: dictionary of phases of the cross spectral density at + each frequency for each pair. Keys are (*i*, *j*). + - *freqs*: vector of frequencies, equal in length to either the + coherence or phase vectors for any (*i*, *j*) key. + + Eg., to make a coherence Bode plot:: + subplot(211) plot( freqs, Cxy[(12,19)]) subplot(212) plot( freqs, Phase[(12,19)]) - For a large number of pairs, cohere_pairs can be much more - efficient than just calling cohere for each pair, because it - caches most of the intensive computations. If N is the number of - pairs, this function is O(N) for most of the heavy lifting, - whereas calling cohere for each pair is O(N^2). However, because - of the caching, it is also more memory intensive, making 2 - additional complex arrays with approximately the same number of - elements as X. + For a large number of pairs, :func:`cohere_pairs` can be much more + efficient than just calling :func:`cohere` for each pair, because + it caches most of the intensive computations. If :math:`N` is the + number of pairs, this function is :math:`O(N)` for most of the + heavy lifting, whereas calling cohere for each pair is + :math:`O(N^2)`. However, because of the caching, it is also more + memory intensive, making 2 additional complex arrays with + approximately the same number of elements as *X*. - See test/cohere_pairs_test.py in the src tree for an example - script that shows that this cohere_pairs and cohere give the same - results for a given pair. + See :file:`test/cohere_pairs_test.py` in the src tree for an + example script that shows that this :func:`cohere_pairs` and + :func:`cohere` give the same results for a given pair. - See also - -------- - :func: psd - """ + .. sealso:: + + :func:`psd` + For information about the methods used to compute + :math:`P_{xy}`, :math:`P_{xx}` and :math:`P_{yy}`. + """ numRows, numCols = X.shape # zero pad if X is too short This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
md...@us... wrote: > Revision: 7567 > http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7567&view=rev > Author: mdboom > Date: 2009年08月25日 15:31:10 +0000 (2009年8月25日) > > Log Message: > ----------- > Support Line2D objects without associated Axes objects. > > Modified Paths: > -------------- > branches/v0_99_maint/lib/matplotlib/lines.py > > Modified: branches/v0_99_maint/lib/matplotlib/lines.py > =================================================================== > --- branches/v0_99_maint/lib/matplotlib/lines.py 2009年08月25日 11:54:24 UTC (rev 7566) > +++ branches/v0_99_maint/lib/matplotlib/lines.py 2009年08月25日 15:31:10 UTC (rev 7567) > @@ -459,7 +459,7 @@ > self._y = self._xy[:, 1] # just a view > > self._subslice = False > - if len(x) > 100 and self._is_sorted(x): > + if self.axes and len(x) > 100 and self._is_sorted(x): > self._subslice = True > if hasattr(self, '_path'): > interpolation_steps = self._path._interpolation_steps > @@ -496,7 +496,7 @@ > def draw(self, renderer): > if self._invalid: > self.recache() > - if self._subslice: > + if self._subslice and self.axes: > # Need to handle monotonically decreasing case also... > x0, x1 = self.axes.get_xbound() > i0, = self._x.searchsorted([x0], 'left') Mike, I'm curious--why are both changes needed? Shouldn't the setting of self._subslice in the first chunk be enough? If not, it suggests that there are more general design problems here. Can a line object have an associated axes when it is created (or when data are fed to it) and then lose that axes attribute by the time draw() is called? If so, then it seems like the second chunk is the right one to keep, and the first one is useless. Eric
Revision: 7568 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7568&view=rev Author: mdboom Date: 2009年08月25日 15:32:13 +0000 (2009年8月25日) Log Message: ----------- Merged revisions 7567 via svnmerge from https://matplotlib.svn.sf.net/svnroot/matplotlib/branches/v0_99_maint ........ r7567 | mdboom | 2009年08月25日 11:31:10 -0400 (2009年8月25日) | 2 lines Support Line2D objects without associated Axes objects. ........ Modified Paths: -------------- trunk/matplotlib/lib/matplotlib/lines.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 Property changes on: trunk/matplotlib ___________________________________________________________________ Modified: svnmerge-integrated - /branches/mathtex:1-7263 /branches/v0_98_5_maint:1-7253 /branches/v0_99_maint:1-7541 + /branches/mathtex:1-7263 /branches/v0_98_5_maint:1-7253 /branches/v0_99_maint:1-7567 Modified: svn:mergeinfo - 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/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:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523 + /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:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567 Property changes on: trunk/matplotlib/examples/mplot3d/wire3d_demo.py ___________________________________________________________________ Modified: svn:mergeinfo - /branches/v0_91_maint/examples/mplot3d/wire.py:5753-5771 /branches/v0_98_5_maint/examples/mplot3d/wire.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/wire3d_demo.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523 + /branches/v0_91_maint/examples/mplot3d/wire.py:5753-5771 /branches/v0_98_5_maint/examples/mplot3d/wire.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/wire3d_demo.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567 Modified: trunk/matplotlib/lib/matplotlib/lines.py =================================================================== --- trunk/matplotlib/lib/matplotlib/lines.py 2009年08月25日 15:31:10 UTC (rev 7567) +++ trunk/matplotlib/lib/matplotlib/lines.py 2009年08月25日 15:32:13 UTC (rev 7568) @@ -453,7 +453,7 @@ self._y = self._xy[:, 1] # just a view self._subslice = False - if len(x) > 100 and self._is_sorted(x): + if self.axes and len(x) > 100 and self._is_sorted(x): self._subslice = True if hasattr(self, '_path'): interpolation_steps = self._path._interpolation_steps @@ -490,7 +490,7 @@ def draw(self, renderer): if self._invalid: self.recache() - if self._subslice: + if self._subslice and self.axes: # Need to handle monotonically decreasing case also... x0, x1 = self.axes.get_xbound() i0, = self._x.searchsorted([x0], 'left') Property changes on: trunk/matplotlib/lib/matplotlib/sphinxext/mathmpl.py ___________________________________________________________________ Modified: svn:mergeinfo - /branches/v0_91_maint/doc/sphinxext/mathmpl.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/mathmpl.py: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/lib/matplotlib/sphinxext/mathmpl.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523 + /branches/v0_91_maint/doc/sphinxext/mathmpl.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/mathmpl.py: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/lib/matplotlib/sphinxext/mathmpl.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567 Property changes on: trunk/matplotlib/lib/matplotlib/sphinxext/only_directives.py ___________________________________________________________________ Modified: svn:mergeinfo - /branches/v0_91_maint/doc/sphinxext/only_directives.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/only_directives.py: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/lib/matplotlib/sphinxext/only_directives.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523 + /branches/v0_91_maint/doc/sphinxext/only_directives.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/only_directives.py: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/lib/matplotlib/sphinxext/only_directives.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567 Property changes on: trunk/matplotlib/lib/matplotlib/sphinxext/plot_directive.py ___________________________________________________________________ Modified: svn:mergeinfo - /branches/v0_91_maint/doc/sphinxext/plot_directive.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/plot_directive.py:6920-6925,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245 /branches/v0_99_maint/lib/matplotlib/sphinxext/plot_directive.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523 + /branches/v0_91_maint/doc/sphinxext/plot_directive.py:5753-5771 /branches/v0_98_5_maint/lib/matplotlib/sphinxext/plot_directive.py:6920-6925,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245 /branches/v0_99_maint/lib/matplotlib/sphinxext/plot_directive.py:7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567 This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
Revision: 7567 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7567&view=rev Author: mdboom Date: 2009年08月25日 15:31:10 +0000 (2009年8月25日) Log Message: ----------- Support Line2D objects without associated Axes objects. Modified Paths: -------------- branches/v0_99_maint/lib/matplotlib/lines.py Modified: branches/v0_99_maint/lib/matplotlib/lines.py =================================================================== --- branches/v0_99_maint/lib/matplotlib/lines.py 2009年08月25日 11:54:24 UTC (rev 7566) +++ branches/v0_99_maint/lib/matplotlib/lines.py 2009年08月25日 15:31:10 UTC (rev 7567) @@ -459,7 +459,7 @@ self._y = self._xy[:, 1] # just a view self._subslice = False - if len(x) > 100 and self._is_sorted(x): + if self.axes and len(x) > 100 and self._is_sorted(x): self._subslice = True if hasattr(self, '_path'): interpolation_steps = self._path._interpolation_steps @@ -496,7 +496,7 @@ def draw(self, renderer): if self._invalid: self.recache() - if self._subslice: + if self._subslice and self.axes: # Need to handle monotonically decreasing case also... x0, x1 = self.axes.get_xbound() i0, = self._x.searchsorted([x0], 'left') This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
Revision: 7566 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7566&view=rev Author: jswhit Date: 2009年08月25日 11:54:24 +0000 (2009年8月25日) Log Message: ----------- add lonmin, lonmax instance vars Modified Paths: -------------- trunk/toolkits/basemap/lib/mpl_toolkits/basemap/__init__.py Modified: trunk/toolkits/basemap/lib/mpl_toolkits/basemap/__init__.py =================================================================== --- trunk/toolkits/basemap/lib/mpl_toolkits/basemap/__init__.py 2009年08月25日 02:15:45 UTC (rev 7565) +++ trunk/toolkits/basemap/lib/mpl_toolkits/basemap/__init__.py 2009年08月25日 11:54:24 UTC (rev 7566) @@ -737,13 +737,19 @@ if projection in _cylproj: self.latmin = self.llcrnrlat self.latmax = self.urcrnrlat + self.lonmin = self.llcrnrlon + self.lonmax = self.urcrnrlon elif projection in ['ortho','geos'] + _pseudocyl: self.latmin = -90. self.latmax = 90. + self.lonmin = self.llcrnrlon + self.lonmax = self.urcrnrlon else: - lons, lats = self.makegrid(101,101) + lons, lats = self.makegrid(1001,1001) self.latmin = lats.min() self.latmax = lats.max() + self.lonmin = lons.min() + self.lonmax = lons.max() # if ax == None, pyplot.gca may be used. self.ax = ax This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
Revision: 7565 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7565&view=rev Author: jswhit Date: 2009年08月25日 02:15:45 +0000 (2009年8月25日) Log Message: ----------- change default color Modified Paths: -------------- trunk/toolkits/basemap/examples/daynight.py Modified: trunk/toolkits/basemap/examples/daynight.py =================================================================== --- trunk/toolkits/basemap/examples/daynight.py 2009年08月25日 00:42:54 UTC (rev 7564) +++ trunk/toolkits/basemap/examples/daynight.py 2009年08月25日 02:15:45 UTC (rev 7565) @@ -64,7 +64,7 @@ return lons2,lats2,daynight class Basemap2(Basemap): - def nightshade(self,date,color="0.5",nlons=1441,alpha=0.5,zorder=None): + def nightshade(self,date,color="k",nlons=1441,alpha=0.5,zorder=None): # create grid of day=0, night=1 # 1441 means use a 0.25 degree grid. lons,lats,daynight = daynightgrid(date,nlons) This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
Revision: 7564 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7564&view=rev Author: jswhit Date: 2009年08月25日 00:42:54 +0000 (2009年8月25日) Log Message: ----------- fix errors introduced by previous commit Modified Paths: -------------- trunk/toolkits/basemap/examples/daynight.py Modified: trunk/toolkits/basemap/examples/daynight.py =================================================================== --- trunk/toolkits/basemap/examples/daynight.py 2009年08月24日 23:32:07 UTC (rev 7563) +++ trunk/toolkits/basemap/examples/daynight.py 2009年08月25日 00:42:54 UTC (rev 7564) @@ -20,7 +20,7 @@ jday = netcdftime.JulianDayFromDate(date) jd = np.floor(jday) # truncate to integer. # utc hour. - ut = d.hour + d.minute/60. + d.second/3600. + ut = date.hour + date.minute/60. + date.second/3600. # calculate number of centuries from J2000 t = (jd + (ut/24.) - 2451545.0) / 36525. # mean longitude corrected for aberration @@ -94,6 +94,7 @@ # shade the night areas gray, with alpha transparency so the # map shows through. # use current time in UTC. -CS=map.nightshade(datetime.utcnow()) -plt.title('Day/Night Map for %s (UTC)' %d ) +date = datetime.utcnow() +CS=map.nightshade(date) +plt.title('Day/Night Map for %s (UTC)' % date) plt.show() This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.