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# pandas.DataFrame.reorder_levels

DataFrame.reorder_levels(order, axis=0)

  Rearrange index or column levels using input `order`.

  May not drop or duplicate levels.

  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

      DataFrame with indices or columns with reordered levels.

  See also

  `DataFrame.swaplevel`

    Swap levels i and j in a MultiIndex.

  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