如何根据组对数据框的行进行配对？

Question

我有一个大数据。一列文本和一列id。

column        id
hello world    1
dinner         1
father         1
hi             1
work/related   2
summer         2

我想将具有相同 ID 且相互跟随的单词配对

输出：

 new column        
hello world ,dinner   
dinner ,father         
father, hi  
work/related , summer

Answer 1

使用 str.cat 连接一组中的每 2 个连续行。

 df=df.assign(newcolumn=df.groupby('id')['column'].apply(lambda x: x.str.cat(x.shift(-1),sep=','))).dropna()



     column    id         newcolumn
0    helloworld   1    helloworld,dinner
1        dinner   1        dinner,father
2        father   1            father,hi
4  work/related   2  work/related,summer

如何根据组对数据框的行进行配对？

how to pair rows of a data frame with respect of a group?

pandas

dataframe

group-by

pairing