如何根据另一个数值数组的值选择DataFrame索引值？

import pandas as pd
import numpy as np

data = {'A': [1, 2, 3, 4, 5],
        'B': [10, 20, 30, 40, 50]}
df = pd.DataFrame(data)

values = [2, 4]

mask = df['A'].isin(values)

result = df[mask]

import pandas as pd
import numpy as np

data = {'A': [1, 2, 3, 4, 5],
        'B': [10, 20, 30, 40, 50]}
df = pd.DataFrame(data)

values = [2, 4]

mask = df['A'].isin(values)
result = df[mask]

print(result)

   A   B
1  2  20
3  4  40