Pandas:如何根据多列的条件将值替换为np.nan

import pandas as pd
import numpy as np

# 创建一个示例数据集
data = {'A': [1, 2, 3, 4, 5],
        'B': [2, 4, 6, 8, 10],
        'C': [3, 6, 9, 12, 15]}

df = pd.DataFrame(data)

# 根据多列的条件将值替换为np.nan
df.loc[(df['A'] > 2) & (df['B'] < 8), ['A', 'B', 'C']] = np.nan

print(df)

     A    B     C
0  1.0  2.0   3.0
1  2.0  4.0   6.0
2  NaN  NaN   NaN
3  NaN  NaN   NaN
4  5.0  10.0  15.0