[Numpy-discussion] histogram2d bug?

Emanuele Olivetti emanuele@relativita....
Thu Apr 19 08:23:24 CDT 2007


While using histogram2d on simple examples I got these errors:

import numpy
x = numpy.array([0,0])
y = numpy.array([0,1])
numpy.histogram2d(x,y,bins=[2,2])
-----------------------------------------------------------------
Warning: divide by zero encountered in log10
---------------------------------------------------------------------------
exceptions.OverflowError                             Traceback (most
recent call last)

/home/ele/<ipython console>

/usr/lib/python2.4/site-packages/numpy/lib/twodim_base.py in
histogram2d(x, y, bins, range, normed, weights)
    180     if N != 1 and N != 2:
    181         xedges = yedges = asarray(bins, float)
    182         bins = [xedges, yedges]
--> 183     hist, edges = histogramdd([x,y], bins, range, normed, weights)
    184     return hist, edges[0], edges[1]

/usr/lib/python2.4/site-packages/numpy/lib/function_base.py in
histogramdd(sample, bins, range, normed, weights)
    206         decimal = int(-log10(dedges[i].min())) +6
    207         # Find which points are on the rightmost edge.
--> 208         on_edge = where(around(sample[:,i], decimal) ==
around(edges[i][-1], decimal))[0]
    209         # Shift these points one bin to the left.
    210         Ncount[i][on_edge] -= 1

/usr/lib/python2.4/site-packages/numpy/core/fromnumeric.py in round_(a,
decimals, out)
    687     except AttributeError:
    688         return _wrapit(a, 'round', decimals, out)
--> 689     return round(decimals, out)
    690
    691 around = round_

OverflowError: long int too large to convert to int
-----------------

numpy.__version__
'1.0.3.dev3719'

Hope this report helps,

Emanuele



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