Hi David, In that case, I suggest histogram2d could be improved with a brief comment in the docstring to indicate how the output is formatted.
Cheers, Darren On Thursday 29 May 2008 8:21:58 pm David Huard wrote: > Hi Darren, > > If I remember correctly, the thinking under the current behavior is that it > preserves similarity of results with histogramdd, where the histogram is > oriented in the numpy order (columns, rows). I thought that making > histogram2d(x,y) return something different than histogramdd([x,y]) was > probably worst than satisfying the cartesian convention. > > Regards, > > David > > 2008/5/29 Darren Dale <[EMAIL PROTECTED]>: > > 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 > > > > _______________________________________________ > > Numpy-discussion mailing list > > Numpy-discussion@scipy.org > > http://projects.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
