I think since its a joint histogram, you need to have equal no. of data points and bins in both x and y.
On Fri, Jul 20, 2012 at 5:11 PM, Andreas Hilboll <li...@hilboll.de> wrote: > Hi, > > I have a problem using histogram2d: > > from numpy import linspace, histogram2d > bins_x = linspace(-180., 180., 360) > bins_y = linspace(-90., 90., 180) > data_x = linspace(-179.96875, 179.96875, 5760) > data_y = linspace(-89.96875, 89.96875, 2880) > histogram2d(data_x, data_y, (bins_x, bins_y)) > > AttributeError: The dimension of bins must be equal to the dimension of > the sample x. > > I would expect histogram2d to return a 2d array of shape (360,180), which > is full of 256s. What am I missing here? > > Cheers, > Andreas. > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > -- Regards Yogesh Karpate
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