如果我有一个这样的数据框：
id s scene
1 a kitchen: 0.297, living: 0.515, degree: A
2 b kitchen: 0.401, study: 0.005, degree: A
3 c study: 0.913, degree: B
4 d living: 0.515, degree: B
5 e others: 0.1, degree: C
如何通过Pandas获取新的数据框。
到目前为止，我已经尝试过df[['id', 's', 'kitchen', 'living', 'study', 'others', 'degree']] = df['scene'].str.split(',', expand=True)：
id s kitchen living study others degree
1 a 0.297 0.515 0 0 A
2 b 0.401 0 0.005 0 A
3 c 0 0 0.913 0 B
4 d 0 0.515 0 0 B
5 e 0 0 0 0.1 C
答案 0 :(得分：2)
您可以
In [763]: dff = pd.DataFrame(
dict(y.split(': ') for y in x.split(', ')) for x in df.scene).fillna(0)
In [764]: dff
Out[764]:
degree kitchen living others study
0 A 0.297 0.515 0 0
1 A 0.401 0 0 0.005
2 B 0 0 0 0.913
3 B 0 0.515 0 0
4 C 0 0 0.1 0
然后join
In [766]: df.join(dff)
Out[766]:
id s scene degree kitchen living \
0 1 a kitchen: 0.297, living: 0.515, degree: A A 0.297 0.515
1 2 b kitchen: 0.401, study: 0.005, degree: A A 0.401 0
2 3 c study: 0.913, degree: B B 0 0
3 4 d living: 0.515, degree: B B 0 0.515
4 5 e others: 0.1, degree: C C 0 0
others study
0 0 0
1 0 0.005
2 0 0.913
3 0 0
4 0.1 0