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pandas.Series.reorder_levels — pandas 2.3.1 documentation

Series.reorder_levels(order)[source]#

Rearrange index levels using input order.

May not drop or duplicate levels.

Parameters:

orderlist of int representing new level order

Reference level by number or key.

Returns:

type of caller (new object)

Examples

>>> arrays = [np.array(["dog", "dog", "cat", "cat", "bird", "bird"]),
...           np.array(["white", "black", "white", "black", "white", "black"])]
>>> s = pd.Series([1, 2, 3, 3, 5, 2], index=arrays)
>>> s
dog   white    1
      black    2
cat   white    3
      black    3
bird  white    5
      black    2
dtype: int64
>>> s.reorder_levels([1, 0])
white  dog     1
black  dog     2
white  cat     3
black  cat     3
white  bird    5
black  bird    2
dtype: int64

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