On Sat, May 24, 2008 at 9:28 PM, Keith Goodman <[EMAIL PROTECTED]> wrote: > I think it's interesting how python and numpy bools behave differently. > >>> x = np.array([True, True], dtype=bool) >>> x[0] + x[1] > True >>> x[0] & x[1] > True >>> >>> x = [True, True] >>> x[0] + x[1] > 2 >>> x[0] & x[1] > True
The difference arises straightforwardly from the principle that numpy tries not to upcast when you do an operation on two arrays of the same dtype; True+True==True is of somewhat more use than True+True==False. Python bools are just ints subclasses to give a nice string representation. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
