如何在Pandas数据帧中找到最大值的行和列的索引？

import pandas as pd

data = {'A': [1, 2, 3],
        'B': [4, 5, 6],
        'C': [7, 8, 9]}
df = pd.DataFrame(data)

max_value_index = df.stack().idxmax()
row_index, col_index = max_value_index[0], max_value_index[1]

print("最大值的行索引：", row_index)
print("最大值的列索引：", col_index)

import pandas as pd

data = {'A': [1, 2, 3],
        'B': [4, 5, 6],
        'C': [7, 8, 9]}
df = pd.DataFrame(data)

max_value_index = df.stack().idxmax()
row_index, col_index = max_value_index[0], max_value_index[1]

print("最大值的行索引：", row_index)
print("最大值的列索引：", col_index)