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# numpy.logical_not

`numpy.``logical_not`(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'logical_not'>

  Compute the truth value of NOT x element-wise.

  Parameters: | x : array_like Logical NOT is applied to the elements of x. out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see the ufunc docs.
  Returns: | y : bool or ndarray of bool Boolean result with the same shape as x of the NOT operation on elements of x.

  See also

  `logical_and`, `logical_or`, `logical_xor`

  Examples

      >>> np.logical_not(3)
      False
      >>> np.logical_not([True, False, 0, 1])
      array([False,  True,  True, False], dtype=bool)

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