我try 了许多方法来获得单个的多个多
在将单独的字典列表转换为数据帧时，会创建多个单独的数据帧
以下是单独词典列表data row_data输出的示例:
[{'case_id': 22, 'case_subject': 'followup'}, {'case_id': 22, 'case_subject': 'rma'}, {'case_id': 22, 'case_subject': 'ticket'}, {'case_id': 22, 'case_subject': '61555'}][{'case_id': 26, 'case_subject': 'c'}, {'case_id': 26, 'case_subject': 'ge'},{'case_id':26,'case_subject': 'app'}, {'case_id': 26, 'case_subject': 'logs'},{'case_id':26, 'case_subject': 'request'}][{'case_id': 30, 'case_subject': 'refund'}, {'case_id': 30, 'case_subject': 'request'}, {'case_id': 30, 'case_subject': 'return'},{'case_id': 30, 'case_subject': 'refund'}, {'case_id': 30, 'case_subject': 'pending'}, {'case_id': 30, 'case_subject': 'partial'}, {'case_id': 30, 'case_subject': 'payment'}][{'case_id': 34, 'case_subject': 'unable'}, {'case_id': 34, 'case_subject': 'control'},{'case_id': 34, 'case_subject': 'devices'}, {'case_id': 34, 'case_subject': 'via'}, {'case_id': 34, 'case_subject': 'mfg'}, {'case_id': 34, 'case_subject': 'configured'}, {'case_id': 34, 'case_subject': 'devices'}][{'case_id': 38, 'case_subject': 'trouble'}, {'case_id': 38, 'case_subject': 'connecting'}, {'case_id': 38, 'case_subject': 'alexa'}]
之后我试着用重复的字数转换数据帧，hre是代码
df = pd.DataFrame(rows_data)
out = df.assign(case_subject =df['case_subject'].str.split())\
.explode('case_subject').value_counts()\
.rename('Case_Subject_Split_Count').reset_index()
print(out)
在那之后，我得到了如下输出:
case_id case_subject Case_Subject_Split_Count
0 22 61555 1
1 22 followup 1
2 22 rma 1
3 22 ticket 1
case_id case_subject Case_Subject_Split_Count
0 26 app 1
1 26 c 1
2 26 ge 1
3 26 logs 1
4 26 request 1
case_id case_subject Case_Subject_Split_Count
0 30 refund 2
1 30 partial 1
2 30 payment 1
3 30 pending 1
4 30 request 1
5 30 return 1
case_id case_subject Case_Subject_Split_Count
0 34 devices 2
1 34 configured 1
2 34 control 1
3 34 mfg 1
4 34 unable 1
5 34 via 1
case_id case_subject Case_Subject_Split_Count
0 38 alexa 1
1 38 connecting 1
2 38 trouble 1
但我需要一个数据帧，而不是像上面那样分开的数据帧
我想要下面这样的输出
case_id case_subject Case_Subject_Split_Count
22 61555 1
22 followup 1
22 rma 1
22 ticket 1
26 app 1
26 c 1
26 ge 1
26 logs 1
26 request 1
30 refund 2
30 partial 1
30 payment 1
30 pending 1
30 request 1
30 return 1
34 devices 2
34 configured 1
34 control 1
34 mfg 1
34 unable 1
34 via 1
38 alexa 1
38 connecting 1
38 trouble 1
有人能帮我解决这个问题吗？
回答前请仔细阅读问题，谢谢.