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] Best regards, Mads -- +---------------------------------------------------------------------+ | Mads Ipsen | +----------------------------------+----------------------------------+ | Overgaden Oven Vandet 106, 4.tv | phone: +45-29716388 | | DK-1415 København K | email: mads.ipsen@gmail.com | | Denmark | map : https://goo.gl/maps/oQ6y6 | +----------------------------------+----------------------------------+
On Tue, Apr 4, 2017 at 9:14 AM, Mads Ipsen
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
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Thanks! On 04/04/2017 09:49 AM, Jaime Fernández del Río wrote:
On Tue, Apr 4, 2017 at 9:14 AM, Mads Ipsen
mailto:mads.ipsen@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
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participants (2)
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Jaime Fernández del Río
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Mads Ipsen