pandas.Index.symmetric_difference — pandas 0.18.1 documentation (original) (raw)
Index.symmetric_difference(other, result_name=None)¶
Compute the sorted symmetric difference of two Index objects.
| Parameters: | other : Index or array-like result_name : str |
|---|---|
| Returns: | symmetric_difference : Index |
Notes
symmetric_difference contains elements that appear in eitheridx1 or idx2 but not both. Equivalent to the Index created by(idx1 - idx2) + (idx2 - idx1) with duplicates dropped.
The sorting of a result containing NaN values is not guaranteed across Python versions. See GitHub issue #6444.
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')