Question

When doing boolean array comparison, is there any advantage / convention to using & in place of * or | in place of +? Are these always equivalent?

(if these are in the documentation, a link would probably be an acceptable answer, but my naive search for ‘numpy ampersand’ and ‘numpy elementwise boolean comparison’ didn’t yield anything relevant)

Answer 1

In numpy & and | are equivalent to np.bitwise_and and np.bitwise_or. You can also use ^ for np.bitwise_xor. This is all documented in the Arithmetic and comparison operations section of the ndarray docs. There are also ufuncs for np.logical_and, np.logical_or and np.logical_xor.

If your arrays are all of dtype bool there shouldn’t be any difference. I personally lean towards & and |, even though if you are not strict about the bool dtype it can get you in troubles like this:

In [30]: np.array(2) & np.array(1)
Out[30]: 0