Numpy mask based on if a value is in some other list

Accepted answer is right but currently numpy's docs recommend using isin function instead of in1d

Use numpy.in1d():

In [6]: np.in1d(a, [14, 16, 18])
Out[6]: array([False, False, False,  True, False,  True, False], dtype=bool)