将groupby追加到嵌套字典

from collections import defaultdict

# 原始数据
data = [
    {'name': 'Alice', 'age': 25, 'gender': 'Female'},
    {'name': 'Bob', 'age': 30, 'gender': 'Male'},
    {'name': 'Charlie', 'age': 35, 'gender': 'Male'},
    {'name': 'Alice', 'age': 40, 'gender': 'Female'},
    {'name': 'Bob', 'age': 45, 'gender': 'Male'}
]

# 创建嵌套字典
nested_dict = defaultdict(lambda: defaultdict(list))

# 将数据按照name进行分组
for item in data:
    nested_dict[item['name']]['age'].append(item['age'])
    nested_dict[item['name']]['gender'].append(item['gender'])

# 打印结果
for name, info in nested_dict.items():
    print(f"Name: {name}")
    print(f"Age: {info['age']}")
    print(f"Gender: {info['gender']}")
    print()

Name: Alice
Age: [25, 40]
Gender: ['Female', 'Female']

Name: Bob
Age: [30, 45]
Gender: ['Male', 'Male']

Name: Charlie
Age: [35]
Gender: ['Male']