如何在 Pandas DataFrame 中使用 inside / in 运算符？ [重复]

Question

我想从 CSV 文件中选择数据。

虽然我可以得到哪一列的数据

"House" == 1 (any single number) 

如下，我不知道如何从哪里获取数据

"House" in [1, 2, 3, 4, 6, 7, 8, 9, 10, 13, 17, 18, 20, 21, 23, 26, 28, 30, 34, 46, 57, 58, 61, 86, 89, 102, 121, 156].

df = pd.read_csv('../../data/training_dataset_500.csv')
df[df['House']==1]

Answer 1

使用

Series.isin()

方法检查系列值是否在值列表中。就你而言 -

df[df['House'].isin([1, 2, 3, 4, 6, 7, 8, 9, 10, 13, 17, 18, 20, 21, 23, 26, 28, 30, 34, 46, 57, 58, 61, 86, 89, 102, 121, 156])]

示例-

In [77]: df
Out[77]:
   A  B
0  1  5
1  2  6
2  3  7
3  4  8

In [78]: df[df['A'].isin([1,2])]
Out[78]:
   A  B
0  1  5
1  2  6