Build table from JSON in Python

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醉话见心 2020-12-20 06:50

I am trying to transform a JSON text into a standard data table using Python, however I have little experience with this and as I search for solutions online I find I am hav

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  •  隐瞒了意图╮
    2020-12-20 07:44

    pandas is almost always used when interacting with tables. And it can parse a dictionary

    In [0]: import pandas
    
    In [1]: from pandas.io.json import json_normalize
    
    In [2]: d = {'duration': 202.0,
       ...:  'session_info':
       ...:     {'activation_uuid': 'ab90d941-df9d-42c5-af81-069eb4f71515',
       ...:      'launch_uuid': '11101c41-2d79-42cc-bf6d-37be46802fc8'},
       ...:  'timestamp': '2019-01-18T11:11:26.135Z',
       ...:  'source_page_view_reference':
       ...:     {'page_uuid': '1bede017-7b77-461d-82ef-a6bbcfdae4d7',
       ...:      'page_id': '/group/More',
       ...:      'page_name': 'More',
       ...:      'view_uuid': '9580f3c5-1116-432a-83bc-9d0b5337f661',
       ...:      'page_type': 'Native'},
       ...:  'analytics_sdk':
       ...:     {'component_id': 'datasdk',
       ...:      'component_version': '1.0.52'},
       ...:  'treatment_id': 'mockTreat',
       ...:  'client_event_id': '2b3cd878-6932-410b-b1ad-bc40ae888fdc',
       ...:  'campaign_id': 'mockCamp'}
    
    In [4]: json_normalize(d)
    Out[4]:
      analytics_sdk.component_id analytics_sdk.component_version campaign_id                       client_event_id  duration  ... source_page_view_reference.page_type  source_page_view_reference.page_uuid  source_page_view_reference.view_uuid                 timestamp treatment_id
    0                    datasdk                          1.0.52    mockCamp  2b3cd878-6932-410b-b1ad-bc40ae888fdc     202.0  ...                               Native  1bede017-7b77-461d-82ef-a6bbcfdae4d7  9580f3c5-1116-432a-83bc-9d0b5337f661  2019-01-18T11:11:26.135Z    mockTreat
    
    [1 rows x 14 columns]
    

    To load JSON string into a dictionary, use json.loads

    Or use pandas.read_json

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