pandas 1.4.2

ParametersReturns
reorder_levels(self, order: 'Sequence[Axis]', axis: 'Axis' = 0) -> 'DataFrame'

Parameters

order : list 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

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

Examples

This example is valid syntax, but we were not able to check execution
>>> 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:

This example is valid syntax, but we were not able to check execution
>>> df.reorder_levels(["diet", "class"])
                                  species
diet      class
Omnivore  Mammals                  Humans
Carnivore Mammals                    Dogs
          Reptiles                 Snakes
See :

Local connectivity graph

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Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

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All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /pandas/core/frame.py#6870
type: <class 'function'>
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