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# numpy.not_equal

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

  Return (x1 != x2) element-wise.

  Parameters : | x1, x2 : array_like Input arrays. out : ndarray, optional A placeholder the same shape as x1 to store the result. See `doc.ufuncs` (Section “Output arguments”) for more details.
  Returns : | not_equal : ndarray bool, scalar bool For each element in x1, x2, return True if x1 is not equal to x2 and False otherwise.

  See also

  `equal`, `greater`, `greater_equal`, `less`, `less_equal`

  Examples

      >>> np.not_equal([1.,2.], [1., 3.])
      array([False,  True], dtype=bool)
      >>> np.not_equal([1, 2], [[1, 3],[1, 4]])
      array([[False,  True],
             [False,  True]], dtype=bool)