真正的 JSON 嵌套字典使用 Python / pandas 获取字典答案

【问题标题】：Real JSON nested dictionaries Get dict with Python / pandas真正的 JSON 嵌套字典使用 Python / pandas 获取字典
【发布时间】：2021-08-31 15:16:10
【问题描述】：

我陷入了一个肮脏的嵌套 json。任何人都可以找到在“extra_data”>“additional_value”中规范化 de dic 的方法？
或者只是从里面取出一列new_value整数：sudor：

{"old_value":9500,"new_value":8800,"currency":"ARS","type":"payment_amount"}

{
    "data": [
        {
            "object_id": "23843009595880561",
            "event_time": "2019-08-08T13:38:44+0000",
            "extra_data": '{"old_value":"BID_CAP","new_value":"BID_CAP","additional_value": {"old_value":9500,"new_value":8800,"currency":"ARS","type":"payment_amount"}, "adset_minimum_return_on_ad_spend":{"old_value":null,"new_value":null},"type":"bid_type"}',
            "object_name": "LK 17 - 50 - Eventos PX - 1%",
        },
        # ....
    ]
}

【问题讨论】：

也许使用模块json 来转换它——比如json.loads( item["data"][0]["extra_data"] )。如果您有更多元素，请使用它for-loop

标签： python json pandas dictionary nested

【解决方案1】：

只需使用模块json 转换即可。

items = {
    "data": [
        {
            "object_id": "23843009595880561",
            "event_time": "2019-08-08T13:38:44+0000",
            "extra_data": '{"old_value":"BID_CAP","new_value":"BID_CAP","additional_value": {"old_value":9500,"new_value":8800,"currency":"ARS","type":"payment_amount"}, "adset_minimum_return_on_ad_spend":{"old_value":null,"new_value":null},"type":"bid_type"}',
            "object_name": "LK 17 - 50 - Eventos PX - 1%",
        },
    ]
}

import json

converted = json.loads(items['data'][0]["extra_data"])

print(converted["additional_value"])

您也可以使用for-loop 转换所有"extra_data"

items = {
    "data": [
        {
            "object_id": "23843009595880561",
            "event_time": "2019-08-08T13:38:44+0000",
            "extra_data": '{"old_value":"BID_CAP","new_value":"BID_CAP","additional_value": {"old_value":9500,"new_value":8800,"currency":"ARS","type":"payment_amount"}, "adset_minimum_return_on_ad_spend":{"old_value":null,"new_value":null},"type":"bid_type"}',
            "object_name": "LK 17 - 50 - Eventos PX - 1%",
        },
        {
            "object_id": "23843009595880561",
            "event_time": "2019-08-08T13:38:44+0000",
            "extra_data": '{"old_value":"BID_CAP","new_value":"BID_CAP","additional_value": {"old_value":9500,"new_value":8800,"currency":"ARS","type":"payment_amount"}, "adset_minimum_return_on_ad_spend":{"old_value":null,"new_value":null},"type":"bid_type"}',
            "object_name": "LK 17 - 50 - Eventos PX - 1%",
        },
    ]
}

import json

# convert all "extra_data"

for element in items["data"]:
    element["extra_data"] = json.loads( element["extra_data"] )
    
# display all "extra_data"

for element in items["data"]:
    print(element["extra_data"]["additional_value"])

【讨论】：

【解决方案2】：

您可以轻松地将 extra_data（看起来像一串 JSON）“重新水化”回 Python 字典：

import json

my_data = {
    "data": [
        {
            "object_id": "23843009595880561",
            "event_time": "2019-08-08T13:38:44+0000",
            "extra_data": '{"old_value":"BID_CAP","new_value":"BID_CAP","additional_value": {"old_value":9500,"new_value":8800,"currency":"ARS","type":"payment_amount"}, "adset_minimum_return_on_ad_spend":{"old_value":null,"new_value":null},"type":"bid_type"}',
            "object_name": "LK 17 - 50 - Eventos PX - 1%",
        },
        # ....
    ]
}

for object in my_data["data"]:
    object["extra_data"] = json.loads(object["extra_data"])

print(json.dumps(object, indent=2))

这个输出（只是为了让我们可以看到我们正在使用什么）

{
  "data": [
    {
      "object_id": "23843009595880561",
      "event_time": "2019-08-08T13:38:44+0000",
      "extra_data": {
        "old_value": "BID_CAP",
        "new_value": "BID_CAP",
        "additional_value": {
          "old_value": 9500,
          "new_value": 8800,
          "currency": "ARS",
          "type": "payment_amount"
        },
        "adset_minimum_return_on_ad_spend": {
          "old_value": null,
          "new_value": null
        },
        "type": "bid_type"
      },
      "object_name": "LK 17 - 50 - Eventos PX - 1%"
    }
  ]
}

所以现在您可以遍历这些对象（在您的示例中只有一个，但重点是）：

for object in my_data["data"]:
    object["extra_data"] = json.loads(object["extra_data"])
    print(object["extra_data"]["additional_value"])

打印出来

{'old_value': 9500, 'new_value': 8800, 'currency': 'ARS', 'type': 'payment_amount'}

【讨论】：