如何根据熊猫数据框中的字符串选择和子集行？

Question

我的数据集如下所示。我正在尝试对我的 pandas 数据框进行子集化，以便仅选择所有 3 个人的响应。例如，在下面的数据框中，所有 3 个人的回答都是“我喜欢吃”和“你有美好的一天”。因此，只有那些应该被子集化。我不确定如何在Pandas 数据框中实现这一点。

注意：我是 Python 新手，请用你的代码解释一下。

数据帧示例

import pandas as pd
data = {'Person':['1', '1','1','2','2','2','2','3','3'],'Response':['I like to eat','You have nice day','My name is ','I like to eat','You have nice day','My name is','This is it','I like to eat','You have nice day'],
      }
df = pd.DataFrame(data)
print (df)

输出：

  Person           Response
0      1      I like to eat
1      1  You have nice day
2      1        My name is 
3      2      I like to eat
4      2  You have nice day
5      2         My name is
6      2         This is it
7      3      I like to eat
8      3  You have nice day

Answer 1

IIUC 我正在使用transform 和nunique

yourdf=df[df.groupby('Response').Person.transform('nunique')==df.Person.nunique()]
yourdf
Out[463]: 
  Person           Response
0      1      I like to eat
1      1  You have nice day
3      2      I like to eat
4      2  You have nice day
7      3      I like to eat
8      3  You have nice day

---

方法二

df.groupby('Response').filter(lambda x : pd.Series(df['Person'].unique()).isin(x['Person']).all())
Out[467]: 
  Person           Response
0      1      I like to eat
1      1  You have nice day
3      2      I like to eat
4      2  You have nice day
7      3      I like to eat
8      3  You have nice day