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Showing content from https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.reorder_levels.html below:

pandas.DataFrame.reorder_levels — pandas 2.3.1 documentation

DataFrame.reorder_levels(order, axis=0)[source]#

Rearrange index levels using input order. May not drop or duplicate levels.

Parameters:

orderlist of int or list of str

List representing new level order. Reference level by number (position) or by key (label).

axis{0 or ‘index’, 1 or ‘columns’}, default 0

Where to reorder levels.

Returns:

DataFrame

Examples

>>> data = {
...     "class": ["Mammals", "Mammals", "Reptiles"],
...     "diet": ["Omnivore", "Carnivore", "Carnivore"],
...     "species": ["Humans", "Dogs", "Snakes"],
... }
>>> df = pd.DataFrame(data, columns=["class", "diet", "species"])
>>> df = df.set_index(["class", "diet"])
>>> df
                                  species
class      diet
Mammals    Omnivore                Humans
           Carnivore                 Dogs
Reptiles   Carnivore               Snakes

Let’s reorder the levels of the index:

>>> df.reorder_levels(["diet", "class"])
                                  species
diet      class
Omnivore  Mammals                  Humans
Carnivore Mammals                    Dogs
          Reptiles                 Snakes

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