如何將列表值插入 Python 中的字典？

Question

如何在字典中的與會者列表中插入多個 emailAddress 字段？ 我有兩個列表地址，名字。 我想遍歷這些列表來生成這個字典。 FE

addresses = ["test@test.test", "nana@nana.nana"]
names = ["test", "nana"] 

結果應該是這樣的：

{
    "subject": "Let's go for lunch",
    "body": {
        "contentType": "HTML",
        "content": "Does mid month work for you?"
    },
    "start": {
        "dateTime": "2020-02-10T12:00:00",
        "timeZone": "Pacific Standard Time"
    },
    "end": {
        "dateTime": "2020-02-10T14:00:00",
        "timeZone": "Pacific Standard Time"
    },
    "location": {
        "displayName": "Harry's Bar"
    },
    "attendees": [
        {
            "emailAddress": {
                "address": "test@test.test",
                "name": "test"
            },
            "type": "required"
        },
        {
            "emailAddress": {
                "address": "nana@nana.nana",
                "name": "nana"
            },
            "type": "required"
        }
    ],
    "isOnlineMeeting": true,
    "onlineMeetingProvider": "teamsForBusiness"
}

我試圖遍歷每個列表並創建一個字符串：

for a in addresses:
    for n in names:
        attendees_body +='{"emailAddress": {"address": "%s", "name": "%s"}, "type": "required"},' % (a,n)

然后我嘗試將此字符串添加到字典中，並使用 json.dumps(dictionary) 格式化 json 文件（我需要）。 但后來我得到了看起來像這樣的結果

{"subject": "subjectas", "start": {"dateTime": "2020-02-10T12:00:00", "timeZone": "Pacific Standard Time"}, "end": {"dateTime": "2020-02-10T14:00:00", "timeZone": "Pacific Standard Time"}, "location": {"displayName": "Harry's Bar"}, "attendees": ["{'emailAddress': {'address': 'sasi@sasi.xui', 'name': 'zdarovenko'}, 'type': 'required'},{'emailAddress': {'address': 'sasi@sasi.xui', 'name': 'kurwenko'}, 'type': 'required'},{'emailAddress': {'address': 'nana@sasi.xui', 'name': 'zdarovenko'}, 'type': 'required'},{'emailAddress': {'address': 'nana@sasi.xui', 'name': 'kurwenko'}, 'type': 'required'},"], "isOnlineMeeting": true, "onlineMeetingProvider": "teamsForBusiness"}

有些值在 "" 中，有些在 ''..

Answer 1

目前還不清楚你在問什么，但本質上我認為這是一個兩部分的問題：

1. 一起遍歷兩個不同的列表
2. 將這些列表中的項目插入具有現有列表的現有 Python 字典

假設這是正確的，那么您可以簡單地使用字典列表中的 append 方法。 您需要用於從兩個列表中獲取聚合數據的 function 使用zip解析，該 zip 采用可迭代對象（在本例中為列表），然后將它們聚合到一個元組中。

我應該說這里不需要 json，我只是用它而不是 pprint 來獲得很好的格式。

    import json
    from collections import defaultdict
    
    addresses = ["test@test.test", "nana@nana.nana"]
    names = ["test", "nana"]
    
    my_dictionary = {
        "subject": "Let's go for lunch",
        "body": {
            "contentType": "HTML",
            "content": "Does mid month work for you?"
        },
        "start": {
            "dateTime": "2020-02-10T12:00:00",
            "timeZone": "Pacific Standard Time"
        },
        "end": {
            "dateTime": "2020-02-10T14:00:00",
            "timeZone": "Pacific Standard Time"
        },
        "location": {
            "displayName": "Harry's Bar"
        },
        "attendees": [
    
        ],
        "isOnlineMeeting": True,
        "onlineMeetingProvider": "teamsForBusiness"
    }
    
    for a, n in zip(addresses, names):
        contact = {
                    "emailAddress":
                        {
                            "address": a,
                            "name": n
                        },
                    "type": "required"
                  }
        my_dictionary['attendees'].append(contact)
    
    print(json.dumps(my_dictionary, indent=4, default=str))

這將產生以下結果：

 {
        "subject": "Let's go for lunch",
        "body": {
            "contentType": "HTML",
            "content": "Does mid month work for you?"
        },
        "start": {
            "dateTime": "2020-02-10T12:00:00",
            "timeZone": "Pacific Standard Time"
        },
        "end": {
            "dateTime": "2020-02-10T14:00:00",
            "timeZone": "Pacific Standard Time"
        },
        "location": {
            "displayName": "Harry's Bar"
        },
        "attendees": [
            {
                "emailAddress": {
                    "address": "test@test.test",
                    "name": "test"
                },
                "type": "required"
            },
            {
                "emailAddress": {
                    "address": "nana@nana.nana",
                    "name": "nana"
                },
                "type": "required"
            }
        ],
        "isOnlineMeeting": true,
        "onlineMeetingProvider": "teamsForBusiness"
    }