I have two arrays and I want to plot the ratio of A/B when A>=B or B/A when A<B. I can create numpy masked arrays to find the result in these two instances, but I'm having trouble plotting them. Below I have a minimal example. I get a plot, but only from the second time I issue the pcolormesh command. Is there a way to combine the two arrays for plotting or to plot without overlapping?
Thanks, Jeremy import numpy import matplotlib.pyplot as pyplot N = 5 A = numpy.array(numpy.random.randint(0, 10, (N,N)), dtype='float64') B = numpy.array(numpy.random.randint(0, 10, (N,N)), dtype='float64') ab = numpy.ma.masked_array(A/B, mask=A>=B, fill_value=0.0) ba = numpy.ma.masked_array(B/A, mask=A<B) Figure = pyplot.figure() pyplot.pcolormesh(ab) pyplot.pcolormesh(ba) ------------------------------------------------------------------------------ Special Offer-- Download ArcSight Logger for FREE (a $49 USD value)! Finally, a world-class log management solution at an even better price-free! Download using promo code Free_Logger_4_Dev2Dev. Offer expires February 28th, so secure your free ArcSight Logger TODAY! http://p.sf.net/sfu/arcsight-sfd2d _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
