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继承是面向对象的重要特征之一,继承是两个类或者多个类之间的父子关系,子进程继承了父进程的所有公有实例变量和方法。继承实现了代码的重用。重用已经存在的数据和行为,减少代码的重新编写,python在类名后用一对圆括号表示继承关系, 括号中的类表示父类,如果父类定义了__init__方法,则子类必须显示地调用父类的__init__方法,如果子类需要扩展父类的行为,可以添加__init__方法的参数。
下面演示继承的实现
class Fruit:
def __init__(self, color):
self.color = color
print "fruit‘s color: %s" %self.color
def grow(self):
print "grow..."
class Apple(Fruit): #继承了父类
def __init__(self, color): #显示调用父类的__init__方法
Fruit.__init__(self, color)
print "apple‘s color: %s" % self.color
class Banana(Fruit): #继承了父类
def __init__(self, color): #显示调用父类的__init__方法
Fruit.__init__(self, color)
print "banana‘s color:%s" %s self.color
def grow(self): #覆盖了父类的grow方法
print "banana grow..."
if __name__ == "__main__":
apple = Apple("red")
apple.grow()
banana = Banana("yellow")
banana.grow()
输出结果:
fruit‘s color : red
apple‘s color : red
grow...
fruit‘s color : yellow
banana‘s color : yellow
banana grow...
抽象类的模拟
抽象类是对一类事物特征和行为的抽象,抽象类由抽象方法组成,python2.5没有提供抽象类的语法,抽象类的特征是不能被实例化,但是可以通过python的NotImplementedError类来模拟抽象类,NotImplementedError类继承自python运行时错误类RuntimeError。当对抽象类进行实例化时,将抛出异常。
模拟抽象类的实现
def abstract(): #定义了全局函数
raise NotImplimentedError(“abstract”):
class Fruit:
def __init__(self):
if self.__class__ is Fruit: #如果实例化的类是Fruit,则抛出异常
abstract()
print "Fruit..."
class Apple(Fruit):
def __init__(self):
Fruit.__init__(self)
print "Apple..."
if __name__ == "__main__":
apple = Apple() #输出: Fruit Apple
同样python也没有提供对接口的支持。接口是特殊的抽象类,接口没有数据成员,而是一组未实现的方法的集合。
---------------------------------------------------------------
只要涉及到面向对象,”类“是必须出现的一个代名词。
类和对象是面向对象编程的两个主要方面。类创建一个新类型,而对象是这个类的实例。
类的一些概念:
包括初始化方法__init__,可以理解为构造,self,理解为this,等等在前一篇文章中介绍过,现在就学习类的继承。
继承:
面向对象的编程带来的主要好处之一是代码的重用,实现这种重用的方法之一是通过继承机制。继承完全可以理解成类之间的类型和子类型关系。
需要注意的地方:继承语法 class 派生类名(基类名)://... 基类名写作括号里,基本类是在类定义的时候,在元组之中指明的。这与c#是有区别的。
何时使用继承:假如我需要定义几个类,而类与类之间有一些公共的属性和方法,这时我就可以把相同的属性和方法作为基类的成员,而特殊的方法及属性则在本类中定义,这样只需要继承基类这个动作,就可以访问到基类的属性和方法了,它提高了代码的可扩展性。
任何事情都有利有弊:继承的一个弱点就是,可能特殊的本类又有其他特殊的地方,又会定义一个类,其下也可能再定义类,这样就会造成继承的那条线越来越长,使用继承的话,任何一点小的变化也需要重新定义一个类,很容易引起类的爆炸式增长,产生一大堆有着细微不同的子类. 所以有个“多用组合少用继承”的原则,(我觉得两者一起使用才是最佳吧*^◎^*)
在python中继承中的一些特点:
1:在继承中基类的构造(__init__()方法)不会被自动调用,它需要在其派生类的构造中亲自专门调用。有别于C#
2:在调用基类的方法时,需要加上基类的类名前缀,且需要带上self参数变量。区别于在类中调用普通函数时并不需要带上self参数
3:Python总是首先查找对应类型的方法,如果它不能在派生类中找到对应的方法,它才开始到基类中逐个查找。(先在本类中查找调用的方法,找不到才去基类中找)。
如果在继承元组中列了一个以上的类,那么它就被称作“多重继承” 。
实例:定义一个模块,模块里定义了一个基类:
![技术分享](data:image/png;base64,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)
子类:
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)
输出:
![技术分享](data:image/png;base64,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)
假如在子类中不用__init__()初始化函数,那么子类会继承基类的属性,如:
![技术分享](data:image/png;base64,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)
输出:
![技术分享](data:image/png;base64,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)
python中的继承原则
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原文地址:http://www.cnblogs.com/micro-chen/p/4966586.html