pandas.Series.reorder_levels#
- 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