### Navigation

- index
- modules |
- modules |
- next |
- previous |
- NumPy v1.7 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Logic functions »

# numpy.logical_or

`numpy.``logical_or`(x1, x2[, out]) = <ufunc 'logical_or'>

  Compute the truth value of x1 OR x2 elementwise.

  Parameters : | x1, x2 : array_like Logical OR 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 OR operation on elements of x1 and x2.

  See also

  `logical_and`, `logical_not`, `logical_xor`, `bitwise_or`

  Examples

      >>> np.logical_or(True, False)
      True
      >>> np.logical_or([True, False], [False, False])
      array([ True, False], dtype=bool)

      >>> x = np.arange(5)
      >>> np.logical_or(x < 1, x > 3)
      array([ True, False, False, False,  True], dtype=bool)

### Navigation

- index
- modules |
- modules |
- next |
- previous |
- NumPy v1.7 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Logic functions »