pandas.CategoricalIndex.symmetric_difference¶
-
CategoricalIndex.
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
oridx2
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')