pandas.CategoricalIndex.sym_diff¶
- CategoricalIndex.sym_diff(other, result_name=None)¶
Compute the sorted symmetric difference of two Index objects.
Parameters: other : Index or array-like
result_name : str
Returns: sym_diff : Index
Notes
sym_diff contains elements that appear in either idx1 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.sym_diff(idx2) Int64Index([1, 5], dtype='int64')
You can also use the ^ operator:
>>> idx1 ^ idx2 Int64Index([1, 5], dtype='int64')