Hi, On Wed, Jul 25, 2012 at 1:09 AM, Giuseppe Amatulli < giuseppe.amatu...@gmail.com> wrote:
> Hi, > > would like to identify unique pairs of numbers in two arrays o in one > bi-dimensional array, and count the observation > > a_clean=array([4,4,5,4,4,4]) > b_clean=array([3,5,4,4,3,4]) > > and obtain > (4,3,2) > (4,5,1) > (5,4,1) > (4,4,2) > > I solved with tow loops but off course there will be a fast solution > Any idea? > what about using np.unique for one bi-dimensional array? > According the docs http://docs.scipy.org/doc/numpy/reference/generated/numpy.unique.html np.unique will flatten the input to 1D array. However, perhaps something like the following lines will help you: In []: lot= zip(a_clean, b_clean) In []: lot Out[]: [(4, 3), (4, 5), (5, 4), (4, 4), (4, 3), (4, 4)] In []: [[x, lot.count(x)] for x in set(lot)] Out[]: [[(4, 5), 1], [(5, 4), 1], [(4, 4), 2], [(4, 3), 2]] My 2 cents, -eat > > In bash I usually unique command > > thanks in advance > Giuseppe > > -- > Giuseppe Amatulli > Web: www.spatial-ecology.net > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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