On Mon, 2017-12-18 at 12:02 +0100, hanno_li...@gmx.net wrote: > Hi, > > is it possible, to apply a logical operation, such as AND or OR along > a particular axis of a numpy array? >
As mentioned, `np.any` and `np.all` work. However, what is more/also interesting to you is maybe that: `np.logical_or.reduce` works. All binary ufuncs (most elementwise functions such as addition, subtraction, multiplication, etc. support this `reduce` (and some other, please find out yourself ;)) methods. So that thing like `any`, `sum`, or `cumsum` are actually just thin wrappers around those. - Sebastian > > Let's say I have an (n,m) array and I want to AND along the first > axis, such that I get a (1,m) (or just (m,) dimensional array back. I > looked at the documentation for np.logical_and and friends but > couldn't find an axis keyword on the logical_xyz operations and > nothing else seemed to fit. > > Thanks, and best regards, > Hanno > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion
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