# pandas.Index.symmetric_difference

`Index.``symmetric_difference`(other, result_name=None)

  Compute the symmetric difference of two Index objects. It’s sorted if sorting is possible.

  Parameters: | other : Index or array-like result_name : str
  Returns: | symmetric_difference : Index

  Notes

  `symmetric_difference` contains elements that appear in either `idx1` or `idx2` but not both. Equivalent to the Index created by `idx1.difference(idx2) | idx2.difference(idx1)` with duplicates dropped.

  Examples

      >>> idx1 = Index([1, 2, 3, 4])
      >>> idx2 = Index([2, 3, 4, 5])
      >>> idx1.symmetric_difference(idx2)
      Int64Index([1, 5], dtype='int64')

  You can also use the `^` operator:

      >>> idx1 ^ idx2
      Int64Index([1, 5], dtype='int64')

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