如何在python中读取嵌套的json数据值？

Question

我正在尝试将嵌套的 json 文件读入 python 。它的格式如下 -

{

"13638": {

    "Advocate Name": "BRET ALLEN",

    "No. of Cases": "2",

    "WP 15699/2019": {

         "Case Category": "SERVICE",

         "District": "HYDERABAD",

         "Filing Date": "23/07/2019",

         "Registration Date": "24/07/2019",

         "Listing Date": "26/08/2019",

         "Case Status": "PENDING"
          },

    "CRLP 804/2019": {

         "Case Category": "-",
         "District": "HYDERABAD",
         "Filing Date": "12/02/2019",
         "Registration Date": "12/02/2019",
         "Listing Date": "21/06/2019",
         "Case Status": "PENDING"
         }

},

"231": 
   {

    "Advocate Name": "DAISY LEE",

    "No. of Cases": "28",

    "WP 1518/2019": {
         "Case Category": "NON-SERVICE",
         "District": "HYDERABAD",
         "Filing Date": "28/01/2019",
         "Registration Date": "28/01/2019",
         "Listing Date": "11/02/2019",
         "Case Status": "DISPOSEDClick here to see the Order"
          },
       "WP 2896/2019": {
         "Case Category": "NON-SERVICE",
         "District": "HYDERABAD",
         "Filing Date": "12/02/2019",
         "Registration Date": "13/02/2019",
         "Listing Date": "-",
         "Case Status": "PENDING"
         }
 }

}

我正在考虑上述数据中的 2 个键 - "13638" 和 "231" 。我想访问“案例状态”字段并将其转换为数据框。

预期输出：

---

|病例状态|

待处理

待处理

DISPOSED点击这里查看订单

待处理

Answer 1

你可以通过遍历字典来得到它。

case_status_list = []
for key, value in data.items():
    for nested_key, nested_value in value.items():
        try:
            status = nested_value.get("Case Status", None)
            case_status_list.append(status)
        except AttributeError as e:
            pass
print(case_status_list)

输出：

['PENDING', 'PENDING', 'DISPOSEDClick here to see the Order', 'PENDING']

要转换成dataframe，可以refer this question

L = ['Thanks You', 'Its fine no problem', 'Are you sure']

#create new df 
df = pd.DataFrame({'col':L})
print (df)

                   col
0           Thanks You
1  Its fine no problem
2         Are you sure