python - Saleforce Simple Salesforce Python and Pandas - 如何将记录转换为数据框以放入表中

Question

我从 Salesforce API 中检索到了我需要的数据：

SELECT AccEmail__c,
     (select custid__c from Backends__r)
from Account 
where Id in (select account__c from Backend__c where custid__c LIKE '%CUST%')

这会返回一个 Ordered Dict 记录，例如：

Out[22]: {'records': [OrderedDict([('attributes',
            OrderedDict([('type', 'Account'),
                         ('url',
                          '/services/data/')])),
           ('AccEmail__c', 'email.com'),
           ('Backends__r',
            OrderedDict([('totalSize', 1),
                         ('done', True),
                         ('records',
                          [OrderedDict([('attributes',
                                         OrderedDict([('type',
                                                       'Backend__c'),
                                                      ('url',
                                                       '/services/data/')])),
                                        ('custid__c',
                                         'CUST209522')])])]))]),

然后我将其转换为数据框：

a_query= pd.DataFrame(sf.query_all("SELECT AccEmail__c, (select custid__c from Backends__r where custid__c LIKE '%CUST%') from Account where Id in (select account__c from Backend__c where custid__c LIKE '%CUST%')")['records']).drop(columns=['attributes'])

这会删除属性列，但在 Backends__r 中仍然存在所有其他属性。

如何删除它并且只有 AccEmail__c 和 custid__c 存储在表中？