python之路——面向对象进阶
阅读目录
- isinstance和issubclass
- 反射
- setattr
- delattr
- getattr
- hasattr
- __str__和__repr__
- __del__
- item系列
- __getitem__
- __setitem__
- __delitem__
- __new__
- __call__
- __len__
- __hash__
- __eq__
isinstance和issubclass
isinstance(obj,cls)检查是否obj是否是类 cls 的对象
class Foo(object):passobj = Foo()isinstance(obj, Foo)
issubclass(sub, super)检查sub类是否是 super 类的派生类
class Foo(object):passclass Bar(Foo):passissubclass(Bar, Foo)
反射
1 什么是反射
反射的概念是由Smith在1982年首次提出的,主要是指程序可以访问、检测和修改它本身状态或行为的一种能力(自省)。这一概念的提出很快引发了计算机科学领域关于应用反射性的研究。它首先被程序语言的设计领域所采用,并在Lisp和面向对象方面取得了成绩。
2 python面向对象中的反射:通过字符串的形式操作对象相关的属性。python中的一切事物都是对象(都可以使用反射)
四个可以实现自省的函数
下列方法适用于类和对象(一切皆对象,类本身也是一个对象)
def hasattr(*args, **kwargs): # real signature unknown"""Return whether the object has an attribute with the given name.This is done by calling getattr(obj, name) and catching AttributeError."""pass
def getattr(object, name, default=None): # known special case of getattr"""getattr(object, name[, default]) -> valueGet a named attribute from an object; getattr(x, 'y') is equivalent to x.y.When a default argument is given, it is returned when the attribute doesn'texist; without it, an exception is raised in that case."""pass
def setattr(x, y, v): # real signature unknown; restored from __doc__"""Sets the named attribute on the given object to the specified value.setattr(x, 'y', v) is equivalent to ``x.y = v''"""pass
def delattr(x, y): # real signature unknown; restored from __doc__"""Deletes the named attribute from the given object.delattr(x, 'y') is equivalent to ``del x.y''"""pass
class Foo:f = '类的静态变量'def __init__(self,name,age):self.name=nameself.age=agedef say_hi(self):print('hi,%s'%self.name)obj=Foo('egon',73)#检测是否含有某属性 print(hasattr(obj,'name')) print(hasattr(obj,'say_hi'))#获取属性 n=getattr(obj,'name') print(n) func=getattr(obj,'say_hi') func()print(getattr(obj,'aaaaaaaa','不存在啊')) #报错#设置属性 setattr(obj,'sb',True) setattr(obj,'show_name',lambda self:self.name+'sb') print(obj.__dict__) print(obj.show_name(obj))#删除属性 delattr(obj,'age') delattr(obj,'show_name') delattr(obj,'show_name111')#不存在,则报错print(obj.__dict__)
class Foo(object):staticField = "old boy"def __init__(self):self.name = 'wupeiqi'def func(self):return 'func'@staticmethoddef bar():return 'bar'print getattr(Foo, 'staticField') print getattr(Foo, 'func') print getattr(Foo, 'bar')
#!/usr/bin/env python # -*- coding:utf-8 -*-import sysdef s1():print 's1'def s2():print 's2'this_module = sys.modules[__name__]hasattr(this_module, 's1') getattr(this_module, 's2')
导入其他模块,利用反射查找该模块是否存在某个方法
#!/usr/bin/env python # -*- coding:utf-8 -*-def test():print('from the test')
#!/usr/bin/env python # -*- coding:utf-8 -*-""" 程序目录:module_test.pyindex.py当前文件:index.py """import module_test as obj#obj.test()print(hasattr(obj,'test'))getattr(obj,'test')()
__str__和__repr__
改变对象的字符串显示__str__,__repr__
自定制格式化字符串__format__
#_*_coding:utf-8_*_ format_dict={'nat':'{obj.name}-{obj.addr}-{obj.type}',#学校名-学校地址-学校类型'tna':'{obj.type}:{obj.name}:{obj.addr}',#学校类型:学校名:学校地址'tan':'{obj.type}/{obj.addr}/{obj.name}',#学校类型/学校地址/学校名 } class School:def __init__(self,name,addr,type):self.name=nameself.addr=addrself.type=typedef __repr__(self):return 'School(%s,%s)' %(self.name,self.addr)def __str__(self):return '(%s,%s)' %(self.name,self.addr)def __format__(self, format_spec):# if format_specif not format_spec or format_spec not in format_dict:format_spec='nat'fmt=format_dict[format_spec]return fmt.format(obj=self)s1=School('oldboy1','北京','私立') print('from repr: ',repr(s1)) print('from str: ',str(s1)) print(s1)''' str函数或者print函数--->obj.__str__() repr或者交互式解释器--->obj.__repr__() 如果__str__没有被定义,那么就会使用__repr__来代替输出 注意:这俩方法的返回值必须是字符串,否则抛出异常 ''' print(format(s1,'nat')) print(format(s1,'tna')) print(format(s1,'tan')) print(format(s1,'asfdasdffd'))
class B:def __str__(self):return 'str : class B'def __repr__(self):return 'repr : class B'b=B() print('%s'%b) print('%r'%b)
__del__
析构方法,当对象在内存中被释放时,自动触发执行。
注:此方法一般无须定义,因为Python是一门高级语言,程序员在使用时无需关心内存的分配和释放,因为此工作都是交给Python解释器来执行,所以,析构函数的调用是由解释器在进行垃圾回收时自动触发执行的。
class Foo:def __del__(self):print('执行我啦')f1=Foo() del f1 print('------->')#输出结果 执行我啦 ------->
item系列
__getitem__\__setitem__\__delitem__
class Foo:def __init__(self,name):self.name=namedef __getitem__(self, item):print(self.__dict__[item])def __setitem__(self, key, value):self.__dict__[key]=valuedef __delitem__(self, key):print('del obj[key]时,我执行')self.__dict__.pop(key)def __delattr__(self, item):print('del obj.key时,我执行')self.__dict__.pop(item)f1=Foo('sb') f1['age']=18 f1['age1']=19 del f1.age1 del f1['age'] f1['name']='alex' print(f1.__dict__)
__new__
class A:def __init__(self):self.x = 1print('in init function')def __new__(cls, *args, **kwargs):print('in new function')return object.__new__(A, *args, **kwargs)a = A() print(a.x)
class Singleton:def __new__(cls, *args, **kw):if not hasattr(cls, '_instance'):cls._instance = object.__new__(cls, *args, **kw)return cls._instanceone = Singleton() two = Singleton()two.a = 3 print(one.a) # 3 # one和two完全相同,可以用id(), ==, is检测 print(id(one)) # 29097904 print(id(two)) # 29097904 print(one == two) # True print(one is two)单例模式
__call__
对象后面加括号,触发执行。
注:构造方法的执行是由创建对象触发的,即:对象 = 类名() ;而对于 __call__ 方法的执行是由对象后加括号触发的,即:对象() 或者 类()()
class Foo:def __init__(self):passdef __call__(self, *args, **kwargs):print('__call__')obj = Foo() # 执行 __init__ obj() # 执行 __call__
__len__
class A:def __init__(self):self.a = 1self.b = 2def __len__(self):return len(self.__dict__) a = A() print(len(a))
__hash__
class A:def __init__(self):self.a = 1self.b = 2def __hash__(self):return hash(str(self.a)+str(self.b)) a = A() print(hash(a))
__eq__
class A:def __init__(self):self.a = 1self.b = 2def __eq__(self,obj):if self.a == obj.a and self.b == obj.b:return True a = A() b = A() print(a == b)
class FranchDeck:ranks = [str(n) for n in range(2,11)] + list('JQKA')suits = ['红心','方板','梅花','黑桃']def __init__(self):self._cards = [Card(rank,suit) for rank in FranchDeck.ranksfor suit in FranchDeck.suits]def __len__(self):return len(self._cards)def __getitem__(self, item):return self._cards[item]deck = FranchDeck() print(deck[0]) from random import choice print(choice(deck)) print(choice(deck))
class FranchDeck:ranks = [str(n) for n in range(2,11)] + list('JQKA')suits = ['红心','方板','梅花','黑桃']def __init__(self):self._cards = [Card(rank,suit) for rank in FranchDeck.ranksfor suit in FranchDeck.suits]def __len__(self):return len(self._cards)def __getitem__(self, item):return self._cards[item]def __setitem__(self, key, value):self._cards[key] = valuedeck = FranchDeck() print(deck[0]) from random import choice print(choice(deck)) print(choice(deck))from random import shuffle shuffle(deck) print(deck[:5])
class Person:def __init__(self,name,age,sex):self.name = nameself.age = ageself.sex = sexdef __hash__(self):return hash(self.name+self.sex)def __eq__(self, other):if self.name == other.name and self.sex == other.sex:return Truep_lst = [] for i in range(84):p_lst.append(Person('egon',i,'male'))print(p_lst) print(set(p_lst))