如何按顺序获取pandas数据帧中最高、次高等数字的索引和列？

import pandas as pd

data = {'A': [10, 20, 30, 40, 50],
        'B': [15, 25, 35, 45, 55],
        'C': [12, 22, 32, 42, 52]}
df = pd.DataFrame(data)

max_index = df.idxmax().tolist()
max_column = df.columns.get_loc(df.idxmax().values[0])

n = 2  # 获取次高数字
n_index = df.stack().nlargest(n).index.tolist()
n_column = df.columns.get_loc(n_index[0][1])

import pandas as pd

data = {'A': [10, 20, 30, 40, 50],
        'B': [15, 25, 35, 45, 55],
        'C': [12, 22, 32, 42, 52]}
df = pd.DataFrame(data)

max_index = df.idxmax().tolist()
max_column = df.columns.get_loc(df.idxmax().values[0])

n = 2  # 获取次高数字
n_index = df.stack().nlargest(n).index.tolist()
n_column = df.columns.get_loc(n_index[0][1])

print("最高数字的索引和列：")
print("索引：", max_index)
print("列：", max_column)

print("次高数字的索引和列：")
print("索引：", n_index)
print("列：", n_column)