如何从数据集的复杂列中生成字典？

import pandas as pd

# 假设有一个包含复杂列的数据集
data = {
    'id': [1, 2, 3],
    'name': ['John', 'Alice', 'Bob'],
    'details': [
        {'age': 25, 'gender': 'male'},
        {'age': 30, 'gender': 'female'},
        {'age': 35, 'gender': 'male'}
    ]
}

df = pd.DataFrame(data)

# 创建一个空字典
dictionary = {}

# 遍历数据集的每一行
for index, row in df.iterrows():
    # 获取复杂列的值
    details = row['details']
    
    # 解析复杂列的结构并提取关键信息
    age = details['age']
    gender = details['gender']
    
    # 将关键信息作为字典的键，其他相关信息作为字典的值
    dictionary[age] = gender

# 打印生成的字典
print(dictionary)

{25: 'male', 30: 'female', 35: 'male'}