Python-如何將json對象數組轉換為Dataframe？

Question

我是python的新手。 而且我需要一點幫助才能過濾我的JSON。

json = { 
    "selection":[ 
         {
          "person_id":105894,
          "position_id":1,
          "label":"Work",
          "description":"A description",
          "startDate":"2017-07-16T19:20:30+01:00",
          "stopDate":"2017-07-16T20:20:30+01:00"
          },
          {
         "person_id":945123,
         "position_id":null,
         "label":"Illness",
         "description":"A description",
         "startDate":"2017-07-17T19:20:30+01:00",
         "stopDate":"2017-07-17T20:20:30+01:00"
         }
       ]
     }

具體來說，我想做的就是將JSON（在上面）轉換為數據框，以便能夠在其上使用查詢方法，例如：

selected_person_id = 105894
query_person_id = json[(json['person_id'] == selected_person_id)]
or
json.query('person_id <= 105894')

列必須是：

cols = ['person_id', 'position_id', 'label', 'description', 'startDate', 'stopDate']

我該怎么做 ？

Answer 1

采用：

df = pd.DataFrame(json['selection'])
print (df)
     description    label  person_id  position_id                  startDate  \
0  A description     Work     105894          1.0  2017-07-16T19:20:30+01:00   
1  A description  Illness     945123          NaN  2017-07-17T19:20:30+01:00   

                    stopDate  
0  2017-07-16T20:20:30+01:00  
1  2017-07-17T20:20:30+01:00  

編輯：

import json

with open('file.json') as data_file:    
    json = json.load(data_file)

Answer 2

對於需要平整結構的更復雜的示例，請使用json_normalize：

>>> data = [{'state': 'Florida',
...          'shortname': 'FL',
...          'info': {
...               'governor': 'Rick Scott'
...          },
...          'counties': [{'name': 'Dade', 'population': 12345},
...                      {'name': 'Broward', 'population': 40000},
...                      {'name': 'Palm Beach', 'population': 60000}]},
...         {'state': 'Ohio',
...          'shortname': 'OH',
...          'info': {
...               'governor': 'John Kasich'
...          },
...          'counties': [{'name': 'Summit', 'population': 1234},
...                       {'name': 'Cuyahoga', 'population': 1337}]}]
>>> from pandas.io.json import json_normalize
>>> result = json_normalize(data, 'counties', ['state', 'shortname',
...                                           ['info', 'governor']])
>>> result
         name  population info.governor    state shortname
0        Dade       12345    Rick Scott  Florida        FL
1     Broward       40000    Rick Scott  Florida        FL
2  Palm Beach       60000    Rick Scott  Florida        FL
3      Summit        1234   John Kasich     Ohio        OH
4    Cuyahoga        1337   John Kasich     Ohio        OH