如何将特定数组/列表转换为 json 结构中的字典

原文标题 ：how to convert a particular array/list to a dictionary in a json structure

我有以下json：

[
   {
      "id": 1,
      "object_k_id": "",
      "object_type": "schema",
      "object_meta": [
         {
            "source_id": 0,
            "database": "rawdwh",
            "schema": "abc"
         }

      ],
      "description": "A schema of all customer data",
      "business_name": "",
      "business_logic": "",
      "owners": [
         "xyz@gmail.com"
      ],
      "stewards": [
         "xyz@gmail.com"
      ],
      "verified_use_cases": "",
      "classifications": [],
      "domains": ""
   }
]

如何仅删除 object_meta 的 [] 因为我希望它作为字典而不是包含字典的数组。通过执行以下操作，我从 Dataframe 获得了上述 json

def convert_to_json(item,df,final_columnnames,dict_meta):
    meta_obj = df.groupby(['id']).apply(lambda x: x[dict_meta.get(item)].to_dict('records')).reset_index().rename(columns={0:'object_meta'})
    meta_obj_json = pandas.merge(df,meta_obj,how='inner',on='id')
    result_json=meta_obj_json[final_columnnames].to_json(orient='records')
    #print(type(result_json))
    final_json=json.dumps(json.loads(result_json), indent=3, sort_keys=False)

上面的代码所做的是将特定的 Dataframe 转换为 json 格式，其中 object_meta 列是一个超结构，就像一个 dict 值的字典，但是 object_meta 又是 list 类型，但我希望它只是一个 dict dict如下图

{
      "id": 1,
      "object_k_id": "",
      "object_type": "schema",
      "object_meta": 
         {
            "source_id": 0,
            "database": "raw data",
            "schema": "abc"
         }

      ,
      "description": "A schema of all customer data",
      "business_name": "",
      "business_logic": "",
      "owners": [
         ""
      ],
      "stewards": [
         "xyz@gmail.com"
      ],
      "verified_use_cases": "",
      "classifications": [],
      "domains": ""
   }
]

请帮忙。

提前致谢