Hi all, as for me I think the behavior of the func is not optimal

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from numpy import * max(array(2.), 0) array(2.0) max(array(-2.), 0) 0

So suppose usually I have x values > 0 and 1 time from 100000 - less than zero. Then sometimes I just get the error "int object has no attribute T" (provided I have code r = max(x,0).T, also, here could be other funcs - max(x,0).tolist(), max(x,0).sum() etc) the same bug if I have 0. (float) instead of 0. Maybe, the same should be fixed for numpy.min() :

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min(array(-2.), 0) array(-2.0) min(array(2.), 0) 0

Regards, D.