由于我实际上不需要该JSON的结尾,因此在弄平该JSON时遇到了问题,因此我有可能将其删除(在JSON进行扁平化之前或之后)。我想在Python中执行此操作,并尝试将json_normalized和Panda导出到CSV。
特殊的是,最后三项,TotalNumberOfMunicipalities,TotalCitizens,Aggregations,位于我希望在进行扁平化之后导出为CSV的部分之外。
JSON:
{
"Municipalities": [
{
"Name": "Stockholm",
"NumberOfCitizens": 974073,
"Id": "5203d2be-7cda-4caf-9fb5",
"Attributes": [],
"Location": {
"Lat": 59.33,
"Lon": 18.06
},
"PoliticalGovernance": 1
},
{
"Name": "Uppsala",
"NumerOfCitizens": 230767,
"Id": "d155e5f5-b94a-4d0e-ba80",
"Attributes": [],
"Location": {
"Lat": 59.86,
"Lon": 17.64
},
"PoliticalGovernance": 3
}
],
"TotalNumberOfMunicipalities": 33,
"TotalCitizens": 4000000,
"Aggregations": {}
}
答案 0 :(得分:2)
df = pd.json_normalize(d, 'Municipalities')
print (df)
Name NumberOfCitizens Id Attributes \
0 Stockholm 974073 5203d2be-7cda-4caf-9fb5 []
1 Uppsala 230767 d155e5f5-b94a-4d0e-ba80 []
PoliticalGovernance Location.Lat Location.Lon
0 1 59.33 18.06
1 3 59.86 17.64