我想groupby dataframe列值的基础上ID和我有以下内容：

data = {
  "ID": ["1", "1", "2"],
  "start": [5, 6, 30],
  "end": [10,20,50],
  "label": ["age", "gender", "history"]
}

df = pd.DataFrame(data)

我寻找的结果是这样的：

Dict = {{'ID': 1, 'Labels': [[5,10,'age'], [6,20,"gender"]]}, {'ID': 2, 'Labels': [[30,50,'history']]} }

我尝试了多种方法，它们都需要非常长的时间，有没有办法优化这个代码？

inner_dict = {}
inner_list = []
middle_list = []
labels_dict= []
for idx in df.index:

     ID = df['ID'][idx]
     for ddx in df.index:
          if (df['ID'][ddx] == ID):
               inner_list = [df['start'][ddx], df['end'][ddx],df['Label'][ddx]]
               middle_list.append(inner_list)
          else : 
               inner_dict = ({'ID': ID, 'Label': middle_list})
               # print (inner_dict)
               # inner_dict = ({'Label': inner_list})
               labels_dict.append(inner_dict)