Python之路【第五篇续】:面向对象编程二

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类成员

一、字段

字段包括:普通字段和静态字段,他们在定义和使用中有所区别,而最本质的区别是内存中保存的位置不同

普通字段属于对象

静态字段属于

 

#!/usr/bin/env python
#-*- coding:utf-8 -*-

class Dbcontrl(object):
    action = 'contrl'
    def __init__(self,hostname,port,username,password,dbname,arg):
        self.hostname = hostname
        self.port = port
        self.username = username
        self.password = password
        self.dbname = dbname
        self.arg = arg
    def fetch(self):
      #连接数据库 hostname,prot,username,password,dbname
      #打开
      #操作
      #关闭
    def modify(self):
        #连接数据库 hostname,prot,username,password,dbname
        #打开
        #操作
        #关闭
    def remove(self):
        #连接数据库 hostname,prot,username,password,dbname
        #打开
        #操作
        #关闭
    def create(self):
        #连接数据库 hostname,prot,username,password,dbname
        #打开
        #操作
        #关闭

obj1 = Dbcontrl('1.1.1.1',80,'tianshuai','shuaige','testdb',[11,22,33,44,])
print obj1.dbname #普通字段的调用方法
Dbcontrl.action #静态字段的调用方法

由上述代码可以看出【普通字段需要通过对象来访问】【静态字段通过类访问】,在使用上可以看出普通字段和静态字段的归属是不同的。

静态字段属于类,且仅保留一份,普通字段保存在对象中!

二、方法

方法包含:普通方法、静态方法、类方法,他们在内存中都属于类,只是调用方式不同。

 

#!/usr/bin/env python
#-*- coding:utf-8 -*-

class Dbcontrl(object):
    action = 'contrl'
    def __init__(self,hostname,port,username,password,dbname,arg):
        self.hostname = hostname
        self.port = port
        self.username = username
        self.password = password
        self.dbname = dbname
        self.arg = arg
    def modify(self):
        pass
        #连接数据库 hostname,prot,username,password,dbname
        #打开
        #操作
        #关闭
    @staticmethod
    def tools_db():
        pass
        """ 定义静态方法 ,无默认参数"""
    @classmethod
    def class_func(cls):
        pass
        """ 定义类方法,至少有一个cls参数 """

obj1 = Dbcontrl('1.1.1.1',80,'tianshuai','shuaige','testdb',[11,22,33,44,])

obj1.modify()  #调用普通方法

Dbcontrl.tools_db() #调用静态方法

Dbcontrl.class_func() #调用类方法

 

 

 

普通方法:由对象调用;至少一个self参数;执行普通方法时,自动将调用该方法的对象赋值给self

比如:调用obj1.modify()  在调用的时候就相当于把对象赋值给方法:Dbcontrl.modify(obj1)  他的触发者是对象!

 

类方法:由调用; 至少一个cls参数;执行类方法时,自动将调用该方法的复制给cls

类方法的触发者是类,当类在触发的时候,把自己当作参数传给cls = class

类方法很少用!

 

静态方法:由调用;无默认参数;

其实你在类中使用静态方法:类+静态方法其实就等于一个函数!

触发者是类,常用于一个工具类,在调用的时候不需要实例化!举例来说有个工具类,如果是普通方法每次调用的都需要实例化,如果有非常非常多的人来调用难道每次都需要实例化吗?浪费内存空间,用静态方法那么你在调用的时候就不需要实例化他了!

三、属性

在python中属性的使用是非常少的,但是在其他的语言中属性用的非常多,因为在python中属性是后来才有的,他的功能目前还不是很强大!

但是他要告诉人们我也是支持属性的,所以才有了这个属性!

属性由方法变种而来,如果Python中没有属性,方法完全可以代替其功能。

 

属性存在意义是:访问属性时可以制造出和访问字段完全相同的假象

1、属性的基本使用

例子:摘自武老师的博客:

 

# ############### 定义 ###############
class Pager:
    
    def __init__(self, current_page):
        # 用户当前请求的页码(第一页、第二页...)
        self.current_page = current_page
        # 每页默认显示10条数据
        self.per_items = 10 


    @property
    def start(self):
        val = (self.current_page - 1) * self.per_items
        return val

    @property
    def end(self):
        val = self.current_page * self.per_items
        return val

# ############### 调用 ###############

p = Pager(1)
p.start 就是起始值,即:m
p.end   就是结束值,即:n

 

从上述可见,Python的属性的功能是:属性内部进行一系列的逻辑计算,最终将计算结果返回

2、属性的两种定义方式

属性的定义有两种方式:

装饰器 即:在方法上应用装饰器

静态字段 即:在类中定义值为property对象的静态字段

 

装饰器方式:在类的普通方法上应用@property装饰器

 

 

Python中的类有经典类和新式类,新式类的属性比经典类的属性丰富。( 如果类继object,那么该类是新式类 )

经典类 具有一种@property装饰器

# ############### 定义 ###############    
class Goods:

    @property
    def price(self):
        return "wupeiqi"
# ############### 调用 ###############
obj = Goods()
result = obj.price  # 自动执行 @property 修饰的 price 方法,并获取方法的返回值

新式类具有三种@property装饰器

 

# ############### 定义 ###############
class Goods(object):

    @property
    def price(self):
        print '@property'

    @price.setter
    def price(self, value):
        print '@price.setter'

    @price.deleter
    def price(self):
        print '@price.deleter'

# ############### 调用 ###############
obj = Goods()

obj.price          # 自动执行 @property 修饰的 price 方法,并获取方法的返回值

obj.price = 123    # 自动执行 @price.setter 修饰的 price 方法,并将  123 赋值给方法的参数

del obj.price      # 自动执行 @price.deleter 修饰的 price 方法

 

经典类中的属性只有一种访问方式,其对应被 @property 修饰的方法,新式类中的属性有三种访问方式,并分别对应了三个被@property、@方法名.setter、@方法名.deleter修饰的方法

静态字段方式创建值为property对象的静态字段当使用静态字段的方式创建属性时,经典类和新式类无区别

 

class Foo:

    def get_bar(self):
        return 'wupeiqi'

    BAR = property(get_bar)

obj = Foo()
reuslt = obj.BAR        # 自动调用get_bar方法,并获取方法的返回值
print reuslt

 

property的构造方法中有个四个参数

 

  • 第一个参数是方法名,调用 对象.属性 时自动触发执行方法
  • 第二个参数是方法名,调用 对象.属性 = XXX 时自动触发执行方法
  • 第三个参数是方法名,调用 del 对象.属性 时自动触发执行方法
  • 第四个参数是字符串,调用 对象.属性.__doc__ ,此参数是该属性的描述信息

 

class Foo:

    def get_bar(self):
        return 'wupeiqi'

    # *必须两个参数
    def set_bar(self, value): 
        return return 'set value' + value

    def del_bar(self):
        return 'wupeiqi'

    BAR = property(get_bar, set_bar, del_bar, 'description...')

obj = Foo()

obj.BAR              # 自动调用第一个参数中定义的方法:get_bar
obj.BAR = "alex"     # 自动调用第二个参数中定义的方法:set_bar方法,并将“alex”当作参数传入
del Foo.BAR          # 自动调用第三个参数中定义的方法:del_bar方法
obj.BAE.__doc__      # 自动获取第四个参数中设置的值:description...

所以,定义属性共有两种方式,分别是【装饰器】和【静态字段】,而【装饰器】方式针对经典类和新式类又有所不同。

类成员修饰符

类的所有成员在上一步骤中已经做了详细的介绍,对于每一个类的成员而言都有两种形式

公有

私有

从字面上就能看出来,公有是外面的、内部的、和继承的都可以访问。

私有:仅在内部可以访问!   私有成员命名时,前两个字符是下划线。(特殊成员除外,例如:__init__、__call__、__dict__等

class C:
 
    def __init__(self):
        self.name = '公有字段'
        self.__foo = "私有字段"

只要记住,私有成员是不能被外面访问的,仅能在内部访问,如果外面想访问私有的成员的可以通过间接的方式访问!

PS:如果想要强制访问私有字段,可以通过 【对象._类名__私有字段明 】访问(如:obj._C__foo),不建议强制访问私有成员。

 类的特殊成员

 1. __doc__  表示类的描述信息

class Foo:
    """ 描述类信息,这是用于看片的神奇 """

    def func(self):
        pass

print Foo.__doc__
#输出:类的描述信息

2. __module__ 和  __class__

__module__ 表示当前操作的对象在那个模块

__class__     表示当前操作的对象的类是什么

 

#!/usr/bin/env python
# -*- coding:utf-8 -*-

class C:

    def __init__(self):
        self.name = 'tianshuai'

 

from lib.aa import C

obj = C()
print obj.__module__  # 输出 lib.aa,即:输出模块
print obj.__class__      # 输出 lib.aa.C,即:输出类

3. __init__ 构造方法,通过类创建对象时,自动触发执行。

class Dbcontrl(object):
    action = 'contrl'
    def __init__(self,hostname,port,username,password,dbname,arg):
        self.hostname = hostname
        self.port = port
        self.username = username
        self.password = password
        self.dbname = dbname
        self.arg = arg

obj1 = Dbcontrl('1.1.1.1',80,'tianshuai','shuaige','testdb',[11,22,33,44,]) #实例化的时候,构造方法自动执行!

4. __del__  析构方法,当对象在内存中被释放时,自动触发执行,是程序自动执行的不需要人为参与

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):
        pass

5. __call__  对象或类后面加括号,触发执行。

PS: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):
        pass
    
    def __call__(self, *args, **kwargs):

        print '__call__'


obj = Foo() # 执行 __init__
obj()       # 执行 __call__

 

6. __dict__ 类或对象中的所有成员,把类中的成员以字典的形式打印出来

 

class Province:

    country = 'China'

    def __init__(self, name, count):
        self.name = name
        self.count = count

    def func(self, *args, **kwargs):
        print 'func'

# 获取类的成员,即:静态字段、方法、
print Province.__dict__
# 输出:{'country': 'China', '__module__': '__main__', 'func': <function func at 0x10be30f50>, '__init__': <function __init__ at 0x10be30ed8>, '__doc__': None}

obj1 = Province('HeBei',10000)
print obj1.__dict__
# 获取 对象obj1 的成员
# 输出:{'count': 10000, 'name': 'HeBei'}

obj2 = Province('HeNan', 3888)
print obj2.__dict__
# 获取 对象obj1 的成员
# 输出:{'count': 3888, 'name': 'HeNan'}

 

 7. __str__ 如果一个类中定义了__str__方法,那么在打印 对象 时,默认输出该方法的返回值。

 

class Foo:

    def __str__(self):
        return 'wupeiqilaoshi'


obj = Foo()
print obj
# 输出:wupeiqilaoshi

 

8、__getitem__、__setitem__、__delitem__ 用于索引操作,如字典。以上分别表示获取、设置、删除数据

#!/usr/bin/env python
# -*- coding:utf-8 -*-
 
class Foo(object):
 
    def __getitem__(self, key):
        print '__getitem__',key
 
    def __setitem__(self, key, value):
        print '__setitem__',key,value
 
    def __delitem__(self, key):
        print '__delitem__',key
 
 
obj = Foo()
 
result = obj['k1']      # 自动触发执行 __getitem__
obj['k2'] = 'wupeiqi'   # 自动触发执行 __setitem__
del obj['k1']           # 自动触发执行 __delitem__

9、__getslice__、__setslice__、__delslice__该三个方法用于分片操作,如:列表

#!/usr/bin/env python
# -*- coding:utf-8 -*-
 
class Foo(object):
 
    def __getslice__(self, i, j):
        print '__getslice__',i,j
 
    def __setslice__(self, i, j, sequence):
        print '__setslice__',i,j
 
    def __delslice__(self, i, j):
        print '__delslice__',i,j
 
obj = Foo()
 
obj[-1:1]                   # 自动触发执行 __getslice__
obj[0:1] = [11,22,33,44]    # 自动触发执行 __setslice__
del obj[0:2]                # 自动触发执行 __delslice__

10. __iter__ 用于迭代器,之所以列表、字典、元组可以进行for循环,是因为类型内部定义了 __iter__

#没有定义__iter__方法会报错!不能迭代
class Foo(object):
    pass


obj = Foo()

for i in obj:
    print i
    
# 报错:TypeError: 'Foo' object is not iterable



#定义了__iter__方法但是没有设置值也会报错
#!/usr/bin/env python
# -*- coding:utf-8 -*-

class Foo(object):
    
    def __iter__(self):
        pass

obj = Foo()

for i in obj:
    print i

# 报错:TypeError: iter() returned non-iterator of type 'NoneType'



#定义了__iter__方法并且定义了参数
#!/usr/bin/env python
# -*- coding:utf-8 -*-

class Foo(object):

    def __init__(self, sq):
        self.sq = sq

    def __iter__(self):
        return iter(self.sq)

obj = Foo([11,22,33,44])

for i in obj:
    print i


输出结果:
'''
11
22
33
44
'''

11、__new__ 和 __metaclass__

都知道python中一切实物都是对象,对象又是有类创建的!  那么类是什么?谁创建的类呢?

python中一切事物都是对象,那么类也是一个对象,既然他是一个对象,那么肯定也有一个创建他的类!!!!

class Foo(object):
 
    def __init__(self):
        pass
 
obj = Foo()   # obj是通过Foo类实例化的对象
print type(obj) # 输出:<class '__main__.Foo'>     表示,obj 对象由Foo类创建
print type(Foo) # 输出:<type 'type'>              表示,Foo类对象由 type 类创建

所以,obj对象是Foo类的一个实例Foo类对象是 type 类的一个实例,即:Foo类对象 是通过type类的构造方法创建。

普通方法创建

 

class Foo(object):
 
    def func(self):
        print 'hello wupeiqi'

 

特殊方式(type类的构造函数)

def func(self):
    print 'hello wupeiqi'
 
Foo = type('Foo',(object,), {'func': func})
#type第一个参数:类名
#type第二个参数:当前类的基类
#type第三个参数:类的成员

小总结:类是有type类实例化产生的

那么问题来了,类默认是由 type 类实例化产生,type类中如何实现的创建类?类又是如何创建对象?

类中有一个属性 __metaclass__,其用来表示该类由 谁 来实例化创建,所以,我们可以为 __metaclass__ 设置一个type类的派生类,从而查看 类 创建的过程。由 type 类实例化产生!

武老师画的这个图太NICE了!http://www.cnblogs.com/wupeiqi/p/4766801.html

上面的图需要了解__init__、__call__

 

部分内容摘自武老师的博客:http://www.cnblogs.com/wupeiqi/p/4766801.html

 

posted @ 2015-12-12 01:37  天帅  阅读(811)  评论(0编辑  收藏  举报