pandas dataframe

Question

我有一个像下面这样的Pandas DataFrame：

ID | Category | Description | Score
-----------------------------------
1  |    1     | Desc 1      | 20.0
2  |    1     | Desc 2      | 30.0
3  |    1     | Desc 3      | 30.0
4  |    2     | Desc 4      | 50.0
5  |    2     | Desc 5      | 50.0
6  |    3     | Desc 6      | 55.0

从这个DataFrame中，我必须得到以下格式的JSON输出：

{
"name": "Category",
"children":             
    [
        {
            "name": "1",
            "children": 
            [
                {
                "name": "ID: 1",
                "Description": "Desc 1",
                "Score": 20.0
                } 
                {
                "name": "ID: 2",
                "Description": "Desc 2",
                "Score": 30.0
                } 
                {
                "name": "ID: 3",
                "Description": "Desc 3",
                "Score": 30.0
                } 
            ]
        },
        {
            "name": "2",
            "children": 
            [
                {
                "name": "ID: 4",
                "Description": "Desc 4",
                "Score": 50.0
                } 
                {
                "name": "ID: 5",
                "Description": "Desc 5",
                "Score": 50.0
                } 
            ]
        }
        {
            "name": "3",
            "children": 
            [
                {
                "name": "ID: 6",
                "Description": "Desc 6",
                "Score": 55.0
                } 
            ]               
        }
    ]
}

＆＃34;名称＆＃34;和＃34;孩子＆＃34;应该如上所示出现（即使这些不作为DataFrame中的列出现） 我是新手，并不知道如何获得这个输出。我在这里搜索并经历了几个类似的帖子 我特意调查了以下帖子：Userdefined Json Format From Pandas DataFrame这与我想要的类似。这篇文章中提到的答案虽然不起作用。我无法弄清楚如何继续前进以获得我想要的输出 你能指导我如何实现这个目标吗？

Answer 1

谢谢@IanS
我从您的代码中获取了想法，并使用下面的代码片段来获取输出：

cList = []
groupDict = outputDF.groupby('Category').apply(lambda g: g.drop('Category', axis=1).to_dict(orient='records')).to_dict()
for key, value in groupDict.items():
    cList.append(dict(name=str(key)), children=value)
finalJSON = dict(name='Category', children=cList)
finalJSON = json.dumps(finalJSON)
print(finalJSON)