如何从pandas数据框中的每一列获得最大(x)个数的值，同时保留每个列的索引？

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3, 4, 5], 'B': [6, 7, 8, 9, 10], 'C': [11, 12, 13, 14, 15]})

x = 2  # 获取每一列的最大2个值
top_x_values = df.apply(lambda col: col.nlargest(x), axis=0)

column_indices = top_x_values.index

import pandas as pd

# 创建示例的数据框
df = pd.DataFrame({'A': [1, 2, 3, 4, 5], 'B': [6, 7, 8, 9, 10], 'C': [11, 12, 13, 14, 15]})

# 从每一列获取最大的x个值
x = 2  # 获取每一列的最大2个值
top_x_values = df.apply(lambda col: col.nlargest(x), axis=0)

# 获取每个列的索引
column_indices = top_x_values.index

print(top_x_values)
print(column_indices)

     A    B     C
4  5.0  NaN  15.0
3  4.0  9.0  14.0
1  2.0  7.0  12.0
2  3.0  8.0  13.0
0  1.0  6.0  11.0
Int64Index([4, 3, 1, 2, 0], dtype='int64')