pandas.Series.reorder_levels — pandas 2.2.3 documentation (original) (raw)

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