From: Dirk Z. <dir...@go...> - 2007-09-26 17:04:01
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Dear matplotlib group, for the represenation of 2d measurement data I use the contourplot function from matplotlib. Some points in this map are not measurabel, therefore I get a non numerical value (nan) output. >From this data I want to generate a map and a histogram plot. This works fine, as long as I use regular matrix/array data structure without any voids. My questions are: (1) How can I make use of plotting data with NAN values as contour and asigns such values eg as black points? (2) How can I use the matplotlib hist() function with this data, that also include such missing data points? Maybe there is an easy workaround for this. Thanks a lot for your support, Dirk (python2.51/matplotlib-0.90.1, win32) my code: ... import matplotlib ... my2dData=[[1,2,3,4,5.0 ,NaN,7,8,9,10],[10,9,8,7,6,5,4,3,2,1]] ... figure(1) imshow(my2dData) pylab.show() .. |