Hi, On Tue, Mar 29, 2011 at 5:13 PM, Éric Depagne <e...@depagne.org> wrote:
> > FWIW, have you considered to use > > > http://docs.scipy.org/doc/numpy/reference/generated/numpy.histogramdd.html# > > numpy.histogramdd > > > > Regards, > > eat > > > I tried, but I get a > /usr/lib/pymodules/python2.6/numpy/lib/function_base.pyc in > histogramdd(sample, bins, range, normed, weights) > 370 # Reshape is used so that overlarge arrays > > 371 # will raise an error. > > --> 372 hist = zeros(nbin, float).reshape(-1) > 373 > 374 # Compute the sample indices in the flattened histogram matrix. > > > ValueError: sequence too large; must be smaller than 32 > > so I suspect my array is too big for histogramdd > So it seems that you give your array directly to histogramdd (asking a 4000D histogram!). Surely that's not what you are trying to achieve. Can you elaborate more on your objectives? Perhaps some code (slow but working) to demonstrate the point. Regards, eat > > Éric. > -- > Un clavier azerty en vaut deux > ---------------------------------------------------------- > Éric Depagne e...@depagne.org > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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