将Json嵌套到具有特定格式的Pandas DataFrame

将Json嵌套到具有特定格式的Pandas DataFrame

如果您将整个json作为字典（或列表）加载（例如使用）

json.load

，则可以使用

json_normalize

：

In [11]: d = {"response": {"body": {"contact": {"email": "mr@abc.com", "mobile_number": "0123456789"}, "personal": {"last_name": "Muster", "gender": "m", "first_name": "Max", "dob": "1985-12-23", "family_status": "single", "title": "Dr."}, "customer": {"verified": "true", "customer_id": "1234567"}}, "token": "dsfgf", "version": "1.1"}}In [12]: df = pd.json_normalize(d)In [13]: df.columns = df.columns.map(lambda x: x.split(".")[-1])In [14]: dfOut[14]:        email mobile_number customer_id verified         dob family_status first_name gender last_name title  token version0  mr@abc.com    0123456789     1234567     true  1985-12-23        single        Max      m    Muster   Dr.  dsfgf     1.1