CategoricalIndex.symmetric_difference()

pandas.CategoricalIndex.symmetric_difference

CategoricalIndex.symmetric_difference(other, result_name=None) [source]

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')

© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.CategoricalIndex.symmetric_difference.html

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