Python 使用json_normalize从多个级别获取元值

假设这是我的JSON：

ds = [{
        "name": "groupa",
        "subGroups": [{
            "subGroup": 1,
            "people": [{
                "firstname":"Tony",
            },
            {
                "firstname":"Brian"
            }
            ]
        }]
    },
    {
        "name": "groupb",
        "subGroups": [{
            "subGroup": 1,
            "people": [{
                "firstname":"Tony",
            },
            {
                "firstname":"Brian"
            }
            ]
        }]
    }
]

我通过以下操作创建数据帧：

df = json_normalize(ds, record_path =['subGroups', 'people'], meta=['name'])

这给了我：

    firstname   name
0   Tony    groupa
1   Brian   groupa
2   Tony    groupb
3   Brian   groupb

但是，我还想包括subGroup列

我尝试：

df = json_normalize(ds, record_path =['subGroups', 'people'], meta=['name', 'subGroup'])

但这给了：

KeyError: 'subGroup'

有什么想法吗？

试试这个

json_normalize(
   ds, 
   record_path=['subGroups', 'people'], 
   meta=[
           'name', 
           ['subGroups', 'subGroup']   # each meta field needs its own path
   ], 
   errors='ignore'
)

  firstname    name  subGroups.subGroup
0      Tony  groupa                   1
1     Brian  groupa                   1
2      Tony  groupb                   1
3     Brian  groupb                   1

df = json_normalize(ds, record_path =['subGroups', 'people'],meta['name'['subGroups', 'subGroup']])

它将“名称”列作为单独的列删除。