Hi, On Fri, Jul 20, 2012 at 6:42 PM, yogesh karpate <yogeshkarp...@gmail.com>wrote:
> I think since its a joint histogram, you need to have equal no. of data > points and bins > in both x and y. Makes sense that number of elements of data points (x, y) is equal. Perhaps the documentation like http://docs.scipy.org/doc/numpy-1.6.0/reference/generated/numpy.histogram2d.html could make this aspect more clearer. Especially confused is the requirement that *x* : array_like, shape(N,) and *y* : array_like, shape(M,), may indicate that N!= M could be a feasible case. A slightly better way would just state that x and y must be one dimensional and they must be equal length. My 2 cents, -eat > > > 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 > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
