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# numpy.logical_and

`numpy.``logical_and`(x1, x2[, out])

  Compute the truth value of x1 AND x2 elementwise.

  Parameters: | x1, x2 : array_like Logical AND is applied to the elements of x1 and x2. They have to be of the same shape.
  Returns: | y : {ndarray, bool} Boolean result with the same shape as x1 and x2 of the logical AND operation on elements of x1 and x2.

  See also

  `logical_or`, `logical_not`, `logical_xor`, `bitwise_and`

  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)

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