将pyspark.sql.Rowtype数据转换为Json字符串，消除Azure Databricks NB中的值

我有下面的pysppark行类型数据:

indv_msg = [Row(cbm_json_output=Row(country_code='USA', date='06-10-2023', date_epoch='1696550400', id='USA-001535-1696550400', interfaceVersion='1.0.0', opmode_car_door=Row(health_category='GREEN', msg_id='1', num_yellow_preds_in_last_14_days=0, reason=None, reasonDetail=None), opmode_landing_door=Row(health_category='GREEN', msg_id='1', reason=None, reasonDetail=None), sensor=Row(component_type=None, health_category=None, landing_priority=None, msg_id='1', num_yellow_preds_in_last_14_days=None, reason=None, reasonDetail=None), unit_id='001535'))

在try 转换为json字符串时，它正在消除赋值字段，如"COUNTRY_CODE"、"DATE"、...

user_encode_data = json.dumps(indv_msg, indent=2)

结果: 消息源(_M)

 [
  [
    "USA",
    "06-10-2023",
    "1696550400",
    "USA-001535-1696550400",
    "1.0.0",
    [
      "GREEN",
      "1",
      0,
      null,
      null
    ],
    [
      "GREEN",
      "1",
      null,
      null
    ]
]

预期结果: 消息源(_M)

[
  [
    "country_code" : "USA",
    "date" : "06-10-2023",
    "date_epoch": 1696550400",
     ....
     ....
   ]
 ]