pandas.core.frame.DataFrame出现以下格式。如何从中获取每个字段并写入csv文件？ csv的标头位于dataframe（'uuid'，'name'等）的数据中
df1=
total data
0 14 {'id': '489', 'uuid': 'cddcf03f-fff2-4f38-830e...
1 14 {'id': '4662', 'uuid': '2fef9a5f-2a81-48ea-807...
2 14 {'id': '4745', 'uuid': '1b478538-cf21-4c59-ba4...
3 14 {'id': '3585', 'uuid': '3209a1ce-8960-4426-81b...
4 14 {'id': '1956', 'uuid': 'bfd6b735-9ce4-45a8-bb6...
5 14 {'id': '4132', 'uuid': '06cdd721-9eb4-41e8-9fa...
6 14 {'id': '12335', 'uuid': '7e01a60f-6a39-4da0-a6...
7 14 {'id': '13161', 'uuid': '67bfbab0-8269-4d07-83...
8 14 {'id': '2510', 'uuid': '1d0fc6f8-a4c7-4d53-be2...
9 14 {'id': '4404', 'uuid': '04e5ff20-bbc9-4ee6-8a5...
10 14 {'id': '117', 'uuid': '4922ad75-b5ce-4c4e-81bd...
11 14 {'id': '1281', 'uuid': 'a0c34d30-bce1-4962-bd8...
12 14 {'id': '3115', 'uuid': '23c310cf-510b-481c-bae...
13 14 {'id': '4698', 'uuid': '3a4063a3-2d91-4d10-bb4...
type(df1)=pandas.core.frame.DataFrame
data=df1['data']
type(data)=pandas.core.series.Series
答案 0 :(得分：0)
df = df.join(pd.DataFrame(df.pop('data').values.tolist()))
print (df)
total id uuid
0 14 489 cddcf03f-fff2-4f38-830e
1 14 4662 2fef9a5f-2a81-48ea-807
2 14 4745 1b478538-cf21-4c59-ba4
3 14 3585 3209a1ce-8960-4426-81b
4 14 1956 bfd6b735-9ce4-45a8-bb6
5 14 4132 06cdd721-9eb4-41e8-9fa
6 14 12335 7e01a60f-6a39-4da0-a6
7 14 13161 67bfbab0-8269-4d07-83
8 14 2510 1d0fc6f8-a4c7-4d53-be2
9 14 4404 04e5ff20-bbc9-4ee6-8a5
10 14 117 4922ad75-b5ce-4c4e-81bd
11 14 1281 a0c34d30-bce1-4962-bd8
12 14 3115 23c310cf-510b-481c-bae
13 14 4698 3a4063a3-2d91-4d10-bb4
如果performance不重要的解决方案：
df = df.join(df.pop('data').apply(pd.Series))