On Tue, Apr 4, 2017 at 9:14 AM, Mads Ipsen <mads.ip...@gmail.com> wrote:
> Hi > > If I have an n x m array of bools, is there a handy way for me to perform > a 'bitwise_and' or 'bitwise_or' along an axis, for example all the rows or > all the columns? For example > > a = > [[1,0,0,0], > [0,0,1,0], > [0,0,0,0]] (0 and 1 meaning True and False) > > a.bitwise_or(axis=0) > > giving > > [1,0,1,0] > I think what you want is equivalent to np.all(a, axis=0) for bitwise_and and np.any(a, axis=0) for bitwise_or. You can also use the more verbose np.bitwise_and.reduce(a, axis=0) and np.bitwise_or.reduce(a, axis=0). Jaime > > Best regards, > > Mads > > > > > -- > +---------------------------------------------------------------------+ > | Mads Ipsen | > +----------------------------------+----------------------------------+ > | Overgaden Oven Vandet 106, 4.tv | phone: +45-29716388 | > | DK-1415 København K | email: mads.ip...@gmail.com | > | Denmark | map : https://goo.gl/maps/oQ6y6 | > +----------------------------------+----------------------------------+ > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion > -- (\__/) ( O.o) ( > <) Este es Conejo. Copia a Conejo en tu firma y ayúdale en sus planes de dominación mundial.
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