pandas.IndexSlice#

pandas.IndexSlice=<pandas.core.indexing._IndexSlice object>#

Create an object to more easily perform multi-index slicing.

See also

MultiIndex.remove_unused_levels

New MultiIndex with no unused levels.

Notes

See Defined Levels for further info on slicing a MultiIndex.

Examples

>>> midx = pd.MultiIndex.from_product([['A0','A1'], ['B0','B1','B2','B3']])
>>> columns = ['foo', 'bar']
>>> dfmi = pd.DataFrame(np.arange(16).reshape((len(midx), len(columns))),
...  index=midx, columns=columns)

Using the default slice command:

>>> dfmi.loc[(slice(None), slice('B0', 'B1')), :]
 foo bar
 A0 B0 0 1
 B1 2 3
 A1 B0 8 9
 B1 10 11

Using the IndexSlice class for a more intuitive command:

>>> idx = pd.IndexSlice
>>> dfmi.loc[idx[:, 'B0':'B1'], :]
 foo bar
 A0 B0 0 1
 B1 2 3
 A1 B0 8 9
 B1 10 11