Python groupby和join文本列

我有一个csv文件，其标题为

text | business\u id

我想将所有与一个业务相关的文本分组

我使用了

review\u data=review\u data.groupby（['business\u id']）['text'].apply（“.join）

查看数据的

如下所示：

                                                   text  \
0     mr hoagi institut walk doe seem like throwback...   
1     excel food superb custom servic miss mario mac...   
2     yes place littl date open weekend staff alway ... 

         business_id  
0     5UmKMjUEUNdYWqANhGckJw  
1     5UmKMjUEUNdYWqANhGckJw  
2     5UmKMjUEUNdYWqANhGckJw

我得到了这个错误：
TypeError:sequence项131:预期的字符串，找到了float

这些是第130到132行：

130 use order fair often  past 2 year food get progress wors everi time order  doesnt help owner alway regist rude everi time  final decid im done  dont think feel let inconveni order food restaur  let alon one food isnt even good also insid dirti heck  deliv food bmw cant buy scrub brush  found golden dragon collier squar 100 time better|SQ0j7bgSTazkVQlF5AnqyQ
131 popular denni|wqu7ILomIOPSduRwoWp4AQ
132 want smth quick late night would say denni|wqu7ILomIOPSduRwoWp4AQ

我认为您需要使用before
groupby
过滤数据：

print review_data
          text             business_id
0    mr hoagi   5UmKMjUEUNdYWqANhGckJw
1  excel food   5UmKMjUEUNdYWqANhGckJw
2          NaN  5UmKMjUEUNdYWqANhGckJw
3   yes place   5UmKMjUEUNdYWqANhGckJw


review_data = review_data[review_data['text'].notnull()]
print review_data
          text             business_id
0    mr hoagi   5UmKMjUEUNdYWqANhGckJw
1  excel food   5UmKMjUEUNdYWqANhGckJw
3   yes place   5UmKMjUEUNdYWqANhGckJw

review_data=review_data.groupby(['business_id'])['text'].apply("".join)
print review_data
business_id
5UmKMjUEUNdYWqANhGckJw    mr hoagi excel food yes place 
Name: text, dtype: object

review\u data=review\u data.groupby（['business\u id']）['text'].apply（“.join）
有效吗？看起来你在连接索引编号，这就是你想要的。但我在读一些行时仍然会出错：TypeError:sequence item 131:expected string，float found这意味着您缺少数据，您必须发布复制此错误和代码的示例数据