如何在 Pandas DataFrame 中使用 inside/in 运算符? [英] How do I use within / in operator in a Pandas DataFrame?

问题描述

我想从我的 CSV 文件中选择数据.

I want to select data from my CSV file.

虽然我可以得到数据在哪一列

Though I can get a data in which column

"House" == 1 (any single number) 

如下，我不知道如何获取数据

as following, I don't know how to get the data where

"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]

推荐答案

使用 Series.isin() 方法来检查系列值是否在值列表中.在你的情况下 -

Use the Series.isin() method to check if a series value is in a list of values. In your case -

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

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