如何为pandas数据帧中多索引中的列选择最大值？

import pandas as pd

data = {'A': [1, 2, 3, 4, 5],
        'B': [6, 7, 8, 9, 10],
        'C': [11, 12, 13, 14, 15]}
index = pd.MultiIndex.from_tuples([('Group1', 'Subgroup1'), ('Group1', 'Subgroup2'), ('Group2', 'Subgroup1'), ('Group2', 'Subgroup2'), ('Group3', 'Subgroup1')])
df = pd.DataFrame(data, index=index)

max_cols = df.groupby(level=0).idxmax()

result = df.loc[max_cols]

import pandas as pd

data = {'A': [1, 2, 3, 4, 5],
        'B': [6, 7, 8, 9, 10],
        'C': [11, 12, 13, 14, 15]}
index = pd.MultiIndex.from_tuples([('Group1', 'Subgroup1'), ('Group1', 'Subgroup2'), ('Group2', 'Subgroup1'), ('Group2', 'Subgroup2'), ('Group3', 'Subgroup1')])
df = pd.DataFrame(data, index=index)

max_cols = df.groupby(level=0).idxmax()
result = df.loc[max_cols]

print(result)