python - What is the difference between "|" and "or"? -


this question has answer here:

i using numpy : 

in [83]: names = np.array(['bob', 'joe', 'will', 'bob', 'will', 'joe', 'joe'])  in [93]: mask = (names == 'bob') | (names == 'will')

why can not use "or" instead of "|"?

why give me error when remove pretenses in in[93] ?

valueerror: truth value of array more 1 element ambiguous. use a.any() or a.all()

thanks in advance.

and python's logical-and operator.

| python's bitwise-or operator (not bitwise-and, question might suggest), numpy overrides in order make numpy element-wise-or.

numpy couldn't have overridden and nor or work element-wise, because and , or not overridable in python. therefor, bitwise operators overridden in numpy.


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