collections模块里的：namedtuple

from collections import namedtuple# 定义一个namedtuple类型User，并包含name，sex和age属性。User = namedtuple('User', ['name', 'sex', 'age'])# 创建一个User对象user = User(name='kongxx', sex='male', age=21)# 也可以通过一个list来创建一个User对象，这里注意需要使用"_make"方法user = User._make(['kongxx', 'male', 21])print user# User(name='user1', sex='male', age=21)# 获取用户的属性print user.nameprint user.sexprint user.age# 修改对象属性，注意要使用"_replace"方法user = user._replace(age=22)print user# User(name='user1', sex='male', age=21)# 将User对象转换成字典，注意要使用"_asdict"print user._asdict()# OrderedDict([('name', 'kongxx'), ('sex', 'male'), ('age', 22)])

Namedtuples对于将字段名称分配给csv或sqlite3模块返回的结果元组特别有用：

EmployeeRecord = namedtuple('EmployeeRecord', 'name, age, title, department, paygrade')import csvfor emp in map(EmployeeRecord._make, csv.reader(open("employees.csv", "rb"))):    print(emp.name, emp.title)import sqlite3conn = sqlite3.connect('/companydata')cursor = conn.cursor()cursor.execute('SELECT name, age, title, department, paygrade FROM employees')for emp in map(EmployeeRecord._make, cursor.fetchall()):    print(emp.name, emp.title)

详细参考:https://docs.python.org/3/library/collections.html#collections.namedtuple