pandas.MultiIndex.swaplevel¶
-
MultiIndex.
swaplevel
(i=-2, j=-1)[source]¶ Swap level i with level j.
Calling this method does not change the ordering of the values.
Parameters: - i : int, str, default -2
First level of index to be swapped. Can pass level name as string. Type of parameters can be mixed.
- j : int, str, default -1
Second level of index to be swapped. Can pass level name as string. Type of parameters can be mixed.
Returns: - MultiIndex
A new MultiIndex
- .. versionchanged:: 0.18.1
The indexes
i
andj
are now optional, and default to the two innermost levels of the index.
See also
Series.swaplevel
- Swap levels i and j in a MultiIndex.
Dataframe.swaplevel
- Swap levels i and j in a MultiIndex on a particular axis.
Examples
>>> mi = pd.MultiIndex(levels=[['a', 'b'], ['bb', 'aa']], ... codes=[[0, 0, 1, 1], [0, 1, 0, 1]]) >>> mi MultiIndex(levels=[['a', 'b'], ['bb', 'aa']], codes=[[0, 0, 1, 1], [0, 1, 0, 1]]) >>> mi.swaplevel(0, 1) MultiIndex(levels=[['bb', 'aa'], ['a', 'b']], codes=[[0, 1, 0, 1], [0, 0, 1, 1]])