I have a question about histogram2d. Say I do something like: import numpy from numpy import random import pylab
x=random.rand(1000)-0.5 y=random.rand(1000)*10-5 xbins=numpy.linspace(-10,10,100) ybins=numpy.linspace(-10,10,100) h,x,y=numpy.histogram2d(x,y,bins=[xbins,ybins]) pylab.imshow(h,interpolation='nearest') pylab.show() The output is attached. I think I would have expected the transpose of what numpy histogram2d returned, so the tight x distribution appears along the x axis in the image. Maybe I am thinking about this incorrectly, or there is a convention I am unfamiliar with. If the behavior is correct, could the docstring include a comment explaining the orientation of the histogram array? Thanks, Darren -- Darren S. Dale, Ph.D. Staff Scientist Cornell High Energy Synchrotron Source Cornell University 275 Wilson Lab Rt. 366 & Pine Tree Road Ithaca, NY 14853 [EMAIL PROTECTED] office: (607) 255-3819 fax: (607) 255-9001 http://www.chess.cornell.edu
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