python - 拆分列以修改数据框

Question

我有一个数据框 df，其中有一列名为“属性”，如下所示

attributes
{"id":1,"firstname":"Joe","lastname":"Lee"}
{"id":12,"firstname":"Brian","lastname":"Li"}
{"id":2,"firstname":"Ron","lastname":"Stein"}

如何将此列拆分为不同的列，以便我的数据框现在看起来像 -

attributes                                     id    firstname  lastname
{"id":1,"firstname":"Joe","lastname":"Lee"}    1     Joe         Lee
{"id":12,"firstname":"Brian","lastname":"Li"}  12    Brian       Li
{"id":2,"firstname":"Ron","lastname":"Stein"}  2     Ron         Stein

我正在尝试访问每个值，如

df.attributes.id
df.attributes.firstname

可是我做不到!您的帮助将不胜感激。

Answer 1

你可以使用apply

In [98]: df.attributes.apply(pd.Series)
Out[98]:
  firstname  id lastname
0       Joe   1      Lee
1     Brian  12       Li
2       Ron   2    Stein

将结果加入原始 df

In [99]: df.join(df.attributes.apply(pd.Series))
Out[99]:
                                          attributes firstname  id lastname
0  {u'lastname': u'Lee', u'id': 1, u'firstname': ...       Joe   1      Lee
1  {u'lastname': u'Li', u'id': 12, u'firstname': ...     Brian  12       Li
2  {u'lastname': u'Stein', u'id': 2, u'firstname'...       Ron   2    Stein

In [100]: dff = df.join(df.attributes.apply(pd.Series))

访问名字

In [101]: dff.firstname
Out[101]:
0      Joe
1    Brian
2      Ron
Name: firstname, dtype: object