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Mathematical functions

# numpy.not_equal

`numpy.``not_equal`(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'not_equal'>

  Return (x1 != x2) element-wise.

  Parameters: | x1, x2 : array_like Input arrays. 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: | 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)