onenote响应字符串中的python文本解析

如何将这样的字符串解析为数据结构。我应该使用什么解析工具

u'{\r\n  "@odata.context":"https://www.onenote.com/api/v1.0/$metadata#me/notes/notebooks(\'0-AB87696357344A7E%212879\')/sections(parentNotebook(id,name,self),parentSectionGroup(id,name,self))","value":[\r\n    {\r\n      "id":"0-AB87696357344A7E!2881","self":"https://www.onenote.com/api/v1.0/me/notes/sections/0-AB87696357344A7E!2881","createdTime":"2017-05-18T01:14:32.977Z","name":"Untitled Section","createdBy":"Jason","createdByIdentity":{\r\n        "user":{\r\n          "id":"AB87696357344A7E","displayName":"Jason"\r\n        }\r\n      },"lastModifiedBy":"Jason","lastModifiedByIdentity":{\r\n        "user":{\r\n          "id":"AB87696357344A7E","displayName":"Jason"\r\n        }\r\n      },"lastModifiedTime":"2017-05-18T02:19:00.587Z","isDefault":false,"pagesUrl":"https://www.onenote.com/api/v1.0/me/notes/sections/0-AB87696357344A7E!2881/pages","parentNotebook@odata.context":"https://www.onenote.com/api/v1.0/$metadata#me/notes/notebooks(\'0-AB87696357344A7E%212879\')/sections(\'0-AB87696357344A7E%212881\')/parentNotebook(id,name,self)/$entity","parentNotebook":{\r\n        "id":"0-AB87696357344A7E!2879","name":"Companies and sectors","self":"https://www.onenote.com/api/v1.0/me/notes/notebooks/0-AB87696357344A7E!2879"\r\n      },"parentSectionGroup@odata.context":"https://www.onenote.com/api/v1.0/$metadata#me/notes/notebooks(\'0-AB87696357344A7E%212879\')/sections(\'0-AB87696357344A7E%212881\')/parentSectionGroup(id,name,self)/$entity","parentSectionGroup":null\r\n    }\r\n  ]\r\n}'

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正如SuperSaiyan在评论中提到的，这是一个JSON字符串。因此，可以使用json库轻松解析：

import json
json_data = json.loads(
    u'{\r\n  "@odata.context":"https://www.onenote.com/api/v1.0/$metadata#me/notes/notebooks(\'0-AB87696357344A7E%212879\')/sections(parentNotebook(id,name,self),parentSectionGroup(id,name,self))","value":[\r\n    {\r\n      "id":"0-AB87696357344A7E!2881","self":"https://www.onenote.com/api/v1.0/me/notes/sections/0-AB87696357344A7E!2881","createdTime":"2017-05-18T01:14:32.977Z","name":"Untitled Section","createdBy":"Jason","createdByIdentity":{\r\n        "user":{\r\n          "id":"AB87696357344A7E","displayName":"Jason"\r\n        }\r\n      },"lastModifiedBy":"Jason","lastModifiedByIdentity":{\r\n        "user":{\r\n          "id":"AB87696357344A7E","displayName":"Jason"\r\n        }\r\n      },"lastModifiedTime":"2017-05-18T02:19:00.587Z","isDefault":false,"pagesUrl":"https://www.onenote.com/api/v1.0/me/notes/sections/0-AB87696357344A7E!2881/pages","parentNotebook@odata.context":"https://www.onenote.com/api/v1.0/$metadata#me/notes/notebooks(\'0-AB87696357344A7E%212879\')/sections(\'0-AB87696357344A7E%212881\')/parentNotebook(id,name,self)/$entity","parentNotebook":{\r\n        "id":"0-AB87696357344A7E!2879","name":"Companies and sectors","self":"https://www.onenote.com/api/v1.0/me/notes/notebooks/0-AB87696357344A7E!2879"\r\n      },"parentSectionGroup@odata.context":"https://www.onenote.com/api/v1.0/$metadata#me/notes/notebooks(\'0-AB87696357344A7E%212879\')/sections(\'0-AB87696357344A7E%212881\')/parentSectionGroup(id,name,self)/$entity","parentSectionGroup":null\r\n    }\r\n  ]\r\n}'
)
print(type(json_data))
print(json_data['value'][0]['createdBy'])

结果：

<type 'dict'>
Jason

杰森
<代码>你认为什么是可读的？导入<代码> JSON<代码>模块。然后使用：
obj=json.loads（您的字符串）
。然后你可以说：
print（obj[“@odata.context]”）
@Stephen Rauch。什么是可读的？如果你试图阅读它，你会如何解析它？谢谢。之后我把它放进了一个数据框
obj=json.load（r.text）df=pd.DataFrame（obj.get（'value'，[]））
。在
df中非常可读