给类绑定属性和方法
#绑定属性
>>> class Student(object):
... pass
...
>>> #绑定属性
...
>>> Student.classname='student class'
>>> s = Student()
>>> s.classname
'student class'
>>> s2 = Student()
>>> s2.classname
'student class'
>>> s2.myownattr=100
>>> print s2.myownattr
100
>>> print s.myownattr
Traceback (most recent call last):
File "", line 1, in
AttributeError: 'Student' object has no attribute 'myownattr'
绑定方法
#给类实例绑定方法
>>> class Student(object):
... pass
...
>>> def set_age(self, age):
... self.age = age
>>> s = Student()
>>> from types import MethodType
>>> s.set_age = MethodType(set_age, s, Student) # 给实例绑定一个方法,其他实例不共享
>>> print s.age
10
#给类绑定方法
>>> Student.set_age = MethodType(set_age, None, Student)
>>> s2 = Student()
>>> s2.set_age(100)
>>> print s2.age
100
通过slots变量,来限制该class能添加的属性;
class Student(object):
__slots__ = ('name', 'age') # 用tuple定义允许绑定的属性名称
slots定义的属性仅对当前类起作用,对继承的子类是不起作用的
@property
Python内置的@property装饰器就是负责把一个方法变成属性调用的.
#!/usr/bin/env python
# _*_ encoding: utf-8 _*_
import datetime
class Studen(object):
@property
def birth(self):
return self._birth
@birth.setter
def birth(self, value):
if value <= 0:
raise ValueError('value must much than 0!')
self._birth = value
@property
def age(self): #age只读
return datetime.datetime.now().year - self._birth
if __name__ == '__main__':
s1 = Studen()
#s1.birth = -2013 #valueError
s1.birth = 2013
print s1.birth
print s1.age
输出:
2013
5
多重继承
#示例
class Dog(Mammal, Runnable):
pass
多重继承时,可同时继承多个类,获取其中的属性及方法,Python中将此种方法称为mixin模式
__xxx__
slots :用于限制类成员
len() : 作用于len函数
str() : 作用于print函数
repr(): 同str(),为调试服务
iter():迭代对象,for循环会不断调用next()方法,拿到循环下一个值,直到StopIteration异常时退出循环;
class Fib(object):
def __init__(self):
self.a, self.b = 0, 1 # 初始化两个计数器a,b
def __iter__(self):
return self # 实例本身就是迭代对象,故返回自己
def next(self):
self.a, self.b = self.b, self.a + self.b # 计算下一个值
if self.a > 100000: # 退出循环的条件
raise StopIteration();
return self.a # 返回下一个值
调用:
>>> for n in Fib():
... print n
...
1
1
2
getitem() : 通过下标访问及切片
class Fib(object):
def __getitem__(self, n):
if isinstance(n, int):
a, b = 1, 1
for x in range(n):
a, b = b, a + b
return a
if isinstance(n, slice):
start = n.start
stop = n.stop
a, b = 1, 1
L = []
for x in range(stop):
if x >= start:
L.append(a)
a, b = b, a + b
return L
setitem()如getitem类似,功能相反
getattr当调用类的方法或属性时,如果不存在,就会报错。
class Student(object):
def __init__(self):
self.name = 'Michael'
s=Student()
print s.name # ok
print s.score # exception
#new demo
class Student(object):
def __init__(self):
self.name = 'Michael'
def __getattr__(self, attr):
if attr=='score':
return 99
#当调用不存在的属性时,比如score,Python解释器会试图调用__getattr__(self, 'score')来尝试获得属性,这样,我们就有机会返回score的值
call 直接对实例进行调用
class Student(object):
def __init__(self, name):
self.name = name
def __call__(self):
print('My name is %s.' % self.name)
>>> s = Student('Michael')
>>> s()
My name is Michael.