迭代字典并提取值 [英] Iteration over the dictionary and extracting values

问题描述

我有如下字典(result_dict).

I have a dictionary (result_dict) as follows.

{'11333216@N05': {'person': {'can_buy_pro': 0,
   'description': {'_content': ''},
   'has_stats': '1',
   'iconfarm': 3,
   'iconserver': '2214',
   'id': '11333216@N05',
   'ispro': 0,
   'location': {'_content': ''},
   'mbox_sha1sum': {'_content': '8eb2e248cbad94e2b4a5aae75eb653c7e061a90c'},
   'mobileurl': {'_content': 'https://m.flickr.com/photostream.gne?id=11327876'},
   'nsid': '11333216@N05',
   'path_alias': 'kishansamarasinghe',
   'photos': {'count': {'_content': 442},
    'firstdate': {'_content': '1193073180'},
    'firstdatetaken': {'_content': '2000-01-01 00:49:17'}},
   'photosurl': {'_content': 'https://www.flickr.com/photos/kishansamarasinghe/'},
   'profileurl': {'_content': 'https://www.flickr.com/people/kishansamarasinghe/'},
   'realname': {'_content': 'Kishan Samarasinghe'},
   'timezone': {'label': 'Sri Jayawardenepura',
    'offset': '+06:00',
    'timezone_id': 'Asia/Colombo'},
   'username': {'_content': 'Three Sixty Five Degrees'}},
  'stat': 'ok'},
 '117692977@N08': {'person': {'can_buy_pro': 0,
   'description': {'_content': ''},
   'has_stats': '0',
   'iconfarm': 1,
   'iconserver': '404',
   'id': '117692977@N08',
   'ispro': 0,
   'location': {'_content': 'Almere, The Nederlands'},
   'mobileurl': {'_content': 'https://m.flickr.com/photostream.gne?id=117600164'},
   'nsid': '117692977@N08',
   'path_alias': 'meijsvo',
   'photos': {'count': {'_content': 3237},
    'firstdate': {'_content': '1392469161'},
    'firstdatetaken': {'_content': '2013-06-23 14:39:30'}},
   'photosurl': {'_content': 'https://www.flickr.com/photos/meijsvo/'},
   'profileurl': {'_content': 'https://www.flickr.com/people/meijsvo/'},
   'realname': {'_content': 'Markéta Eijsvogelová'},
   'timezone': {'label': 'Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna',
    'offset': '+01:00',
    'timezone_id': 'Europe/Amsterdam'},
   'username': {'_content': 'meijsvo'}},
  'stat': 'ok'},
 '21539776@N02': {'person': {'can_buy_pro': 0,
   'description': {'_content': ''},
   'has_stats': '1',
   'iconfarm': 0,
   'iconserver': '0',

其中包含150多个用户名(e.g. 11333216@N05).我想为每个用户提取'mobileurl'并创建一个包含username和mobileurl列的数据框.我无法找到一种方法来迭代每个用户并提取其mobileurl，因为无法建立索引.但是，我已经按如下方式提取了其中一个用户的mobileurl.

This contains more than 150 usernames (e.g. 11333216@N05) . I want to extract 'mobileurl' for each user and create a dataframe containing username and mobileurl columns. I couldn't find a way to iterate each user and extract his mobileurl as indexing is impossible. However, I have extract the mobileurl for one of the users as follows.

result_dict['76617062@N08']["person"]["mobileurl"]['_content']

'https://m.flickr.com/photostream.gne?id=76524249'

如果有人可以提供帮助，将不胜感激，因为我对python有点陌生.

Would be grateful if someone can help, as I'm a bit new to python.

推荐答案

遍历字典的键列表(在本例中为用户名)，然后使用每个键访问每个顶级字典，然后从中潜入所有其他字典层以查找所需的确切数据.您示例中的mobileurl.

Iterate through the dictionarys list of keys which in this case are the usernames, then use each one to access each top level dict and from there dive through all the other layers to find the exact data you need. The mobileurl in your example.

一旦有了这两个变量，就将它们添加到数据框中.

Once you have these 2 variables, add them to your dataframe.

# Iterate through list of users
for user in result_dict.keys():

    # use each username to find the mobileurl you need within
    mobileurl = result_dict[user]["person"]["mobileurl"]["_content"]

    # Add the variables 'user' and 'mobileurl' to dataframe as you see fit

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