Python 如何从dict和特定列中删除键？

这是我的密码。我想删除显示在输出中的键，仅仅是“值”等等，因为我按“日期”分组，所以我不想在列表中显示列。 谢谢

电流输出：

{
    "2001-04-10--2001-02-02": [
        "{'Date': '2001-04-10--2001-02-02', 'DptCity_DptCountry': 'Beijing_Japan', 'AuthorID': 'GGG', 'ArCity_ArCountry': 'Paris_France'}"
    ], 
    "2008-03-10--2001-02-02": [
        "{'Date': '2008-03-10--2001-02-02', 'DptCity_DptCountry': 'London_UK', 'AuthorID': 'BBB', 'ArCity_ArCountry': 'Lagos_Nigeria'}", 
        "{'Date': '2008-03-10--2001-02-02', 'DptCity_DptCountry': 'NewYork_US', 'AuthorID': 'DDD', 'ArCity_ArCountry': 'Nairobi_Kenya'}", 
        "{'Date': '2008-03-10--2001-02-02', 'DptCity_DptCountry': 'London_UK', 'AuthorID': 'EEE', 'ArCity_ArCountry': 'Paris_France'}", 
        "{'Date': '2008-03-10--2001-02-02', 'DptCity_DptCountry': 'NewYork_US', 'AuthorID': 'FFF', 'ArCity_ArCountry': 'Paris_France'}"
    ], 
    "2008-03-10--2001-04-02": [
        "{'Date': '2008-03-10--2001-04-02', 'DptCity_DptCountry': 'Beijing_Japan', 'AuthorID': 'CCC', 'ArCity_ArCountry': 'Paris_France'}"
    ], 
    "2008-03-12--2001-02-02": [
        "{'Date': '2008-03-12--2001-02-02', 'DptCity_DptCountry': 'NewYork_US', 'AuthorID': 'AAA', 'ArCity_ArCountry': 'Paris_France'}"
    ]
}

期望输出：

{
    "2001-04-10--2001-02-02": [
        "{'Beijing_Japan','GGG',  'Paris_France'}"
    ], 
    "2008-03-10--2001-02-02": [
        "{'London_UK', 'BBB','Lagos_Nigeria'}", 
        "{'NewYork_US','DDD','Nairobi_Kenya'}", 
        "{'London_UK','EEE','Paris_France'}", 
        "{'NewYork_US','FFF', 'ArCity_ArCountry': 'Paris_France'}"
    ], 
    "2008-03-10--2001-04-02": [
        "{'Beijing_Japan','CCC','Paris_France'}"
    ], 
    "2008-03-12--2001-02-02": [
        "{'NewYork_US','AAA','Paris_France'}"
    ]
}

尝试：

---

谢谢，先生，请问我怎样才能从列表中删除日期，因为我已经有了[日期范围]，我不希望它出现在航班上。感谢您可以在

.groupby（）

之前

df.drop（'date'，axis=1）

，因为您似乎根本不需要

列

。我只需要将它分组，并在屏幕上显示它是所需的输出，但不在正文中这是它带来的错误：请参阅文档中的警告：这只是一个警告，您可以尝试不使用

inplace=True

，请参阅更新。

{
    "2001-04-10--2001-02-02": [
        "{'Beijing_Japan','GGG',  'Paris_France'}"
    ], 
    "2008-03-10--2001-02-02": [
        "{'London_UK', 'BBB','Lagos_Nigeria'}", 
        "{'NewYork_US','DDD','Nairobi_Kenya'}", 
        "{'London_UK','EEE','Paris_France'}", 
        "{'NewYork_US','FFF', 'ArCity_ArCountry': 'Paris_France'}"
    ], 
    "2008-03-10--2001-04-02": [
        "{'Beijing_Japan','CCC','Paris_France'}"
    ], 
    "2008-03-12--2001-02-02": [
        "{'NewYork_US','AAA','Paris_France'}"
    ]
}

for date_range, flights in df.groupby('date'):
    flights_no_date = flights.drop('date', axis=1)
    json_dict[date_range]= map(list, flights_no_date.values)