numpy.logical_and — NumPy v1.11 Manual (original) (raw)
numpy.logical_and(x1, _x2_[, _out_]) = <ufunc 'logical_and'>¶
Compute the truth value of x1 AND x2 element-wise.
| Parameters: | x1, x2 : array_like Input arrays. x1 and x2 must be of the same shape. |
|---|---|
| Returns: | y : ndarray or bool Boolean result with the same shape as x1 and x2 of the logical AND operation on corresponding elements of x1 and x2. |
Examples
np.logical_and(True, False) False np.logical_and([True, False], [False, False]) array([False, False], dtype=bool)
x = np.arange(5) np.logical_and(x>1, x<4) array([False, False, True, True, False], dtype=bool)