From: <md...@us...> - 2009-08-25 20:06:25
|
Revision: 7570 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7570&view=rev Author: mdboom Date: 2009-08-25 20:06:13 +0000 (Tue, 25 Aug 2009) Log Message: ----------- Merged revisions 7569 via svnmerge from https://matplotlib.svn.sf.net/svnroot/matplotlib/branches/v0_99_maint ........ r7569 | mdboom | 2009-08-25 16:04:34 -0400 (Tue, 25 Aug 2009) | 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/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 2009-08-25 20:04:34 UTC (rev 7569) +++ trunk/matplotlib/lib/matplotlib/mlab.py 2009-08-25 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. |