Hi Ralf, I cloned numpy/master and played around a little.
when giving the bins explicitely, now histogram2d and histogramdd work as expected in all tests i tried. However, some of the cases with missing bin specification appear somewhat inconsistent. The first question is if creating arbitrary bins for empty data and empty bin specification is better than raising an Exception: Specifically: numpy.histogram2d([],[],bins=[0,0]) > (array([ 0., 0.]), array([ 0.]), array([ 0.])) numpy.histogram([],bins=0) > ValueError: zero-size array to minimum.reduce without identity so 1-d and 2-d behave not quite the same. also, these work (although with arbitrary bin edges): numpy.histogram2d([],[],bins=[1,1]) > (array([ 0., 0.]), array([ 0., 1.]), array([ 0., 1.])) numpy.histogram2d([],[],bins=[0,1]) > (array([ 0., 0.]), array([ 0.]), array([ 0., 1.])) while this raises an error: numpy.histogram([],bins=1) > ValueError: zero-size array to minimum.reduce without identity another thing with non-empty data: numpy.histogram([1],bins=1) > (array([1]), array([ 0.5, 1.5])) numpy.histogram([1],bins=0) > (array([], dtype=int64), array([ 0.5])) while numpy.histogram2d([1],[1],bins=A) > ValueError: zero-size array to minimum.reduce without identity (here A==[0,0] or A==[0,1] but not A==[1,1] which gives a result) Nils _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
