Basic

Concepction

概念

解释

类(Class)

用来描述具有相同的属性和方法的对象的集合。它定义了该集合中每个对象所共有的属性和方法。对象是类的实例

类变量

类变量在整个实例化的对象中是公用的。类变量定义在类中且在函数体之外。类变量通常不作为实例变量使用

数据成员

类变量或者实例变量, 用于处理类及其实例对象的相关的数据

方法重写

如果从父类继承的方法不能满足子类的需求，可以对其进行改写，这个过程叫方法的覆盖（override），也称为方法的重写

局部变量

定义在方法中的变量，只作用于当前实例的类

实例变量

在类的声明中，属性是用变量来表示的。这种变量就称为实例变量，是在类声明的内部但是在类的其他成员方法之外声明的

继承

即一个派生类（derived class）继承基类（base class）的字段和方法。继承也允许把一个派生类的对象作为一个基类对象对待。例如，有这样一个设计：一个Dog类型的对象派生自Animal类，这是模拟"是一个（is-a）"关系（例图，Dog是一个Animal）

实例化

创建一个类的实例，类的具体对象

方法

类中定义的函数

对象

通过类定义的数据结构实例。对象包括两个数据成员（类变量和实例变量）和方法

定义一个类

class Car:
    def __init__(self, color, model, year):

        self.color = color
        self.model = model
        self.year = year

Create object

my_car = Car("yellow", "beetle", 1967)

查看一下my_car的属性

print(f" My {my_car.color} car {my_car.model} is made in {my_car.year}")
# My yellow car beetle is made in 1967

Add attribute

my_car.wheels = 5
print(f"Wheels: {my_car.wheels}")
# Wheels: 5

dir(my_car)

Out:
['__class__',
 '__delattr__',
 '__dict__',
 '__dir__',
 '__doc__',
 '__eq__',
 '__format__',
 '__ge__',
 '__getattribute__',
 '__gt__',
 '__hash__',
 '__init__',
 '__init_subclass__',
 '__le__',
 '__lt__',
 '__module__',
 '__ne__',
 '__new__',
 '__reduce__',
 '__reduce_ex__',
 '__repr__',
 '__setattr__',
 '__sizeof__',
 '__str__',
 '__subclasshook__',
 '__weakref__',
 'color',
 'model',
 'wheels',     <====已经添加成功啦
 'year']

Class variable

在Python中，我们在类外声明一个类变量，下面让我们修改一下Car类：

class Car:
    wheels = 0
    def __init__(self, color, model, year):
        self.color = color
        self.model = model
        self.year = year

这样的话，我们在调用wheels这个变量时，可以通过实例，或者直接调用Car.wheels：

my_car = Car("yellow", "beetle", 1967)
print(f"My car is {my_car.color}")
print(f"It has {Car.wheels} wheels")
print(f"It has {my_car.wheels} wheels")

Out:
My car is yellow
It has 0 wheels
It has 0 wheels

这里需要注意一下，如果想要通过my_car.wheels =xxx来修改wheels的值，不会真正修改类变量wheels的值，我们来看一个具体的例子：

my_car = Car("yellow", "Beetle", "1966")
my_other_car = Car("red", "corvette", "1999")

print(f"My car is {my_car.color}")
print(f"It has {my_car.wheels} wheels")


print(f"My other car is {my_other_car.color}")
print(f"It has {my_other_car.wheels} wheels")

Out：
My car is yellow
It has 0 wheels
My other car is red
It has 0 wheels

我们首先创建两个实例my_car 和my_other_car ，默认的wheels=0，下面我们首先直接通过Car这个类来修改类变量的值：

# Change the class variable value

Car.wheels = 4

print(f"My car has {my_car.wheels} wheels")
print(f"My other car has {my_other_car.wheels} wheels")

Out：
My car has 4 wheels
My other car has 4 wheels

可以看到这样修改的话，Car类拥有的所有实例中的wheels值会被全部修改，如果我们通过my_other_car 来修改呢？

# Change the instance variable value for my_car

my_car.wheels = 5
print(f"My car has {my_car.wheels} wheels")
print(f"My other car has {my_other_car.wheels} wheels")

Out:
My car has 5 wheels
My other car has 4 wheels

现在大家可以发现区别了，仅仅是修改了my_car中wheels的值，对类本身不会造成影响在Python中的所有属性都是public，可能有c++和java的同学觉得神奇，其实python最初规定了一种特殊的命名方式来区分public还是private，那就是下划线_

Private & Public attribute

class Car:
    wheels = 0
    def __init__(self, color, model, year):
        self.color = color
        self.model = model
        self.year = year
        self._cupholders = 6

my_car = Car("yellow", "Beetle", "1969")
print(f"It was built in {my_car.year}")

Out：
It was built in 1969

这里Car类中的杯托 _cupholders就是“私有“属性，为什么我这里加上了引号，是因为Python只是名义上规定这种写法，但是在实际访问上没啥卵用，依然可以直接用._cupholders来访问：

my_car.year = 1966
print(f"It was built in {my_car.year}")
print(f"It has {my_car._cupholders} cupholders.")

Out:
It was built in 1966
It has 6 cupholders.

后来Python决定使用双下划线__来替换单下划线，这样可以最大程度避免“意外访问“，然而还是没有卵用，再来展示一下新方案：

class Car:
    wheels = 0
    def __init__(self, color, model, year):
        self.color = color
        self.model = model
        self.year = year
        self.__cupholders = 6

其实某种程度上，这回效果还是很明显的，如果我们还像刚才一样尝试调用my_car.cupholders 会报错：

my_car = Car("yellow", "Beetle", "1969")
print(f"It was built in {my_car.year}")
print(f"It has {my_car.__cupholders} cupholders.")


Out:
It was built in 1969

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-108-1efe56f0c054> in <module>
 1 my_car = Car("yellow", "Beetle", "1969")
 2 print(f"It was built in {my_car.year}")
----> 3  print(f"It has {my_car.__cupholders} cupholders.")

AttributeError: 'Car' object has no attribute '__cupholders'

这个错误很有意思，为什么会说cupholders这个变量不存在呢 ? 因为当Python看到__ 时，会自动在cupholders前面补上一个下划线_和所属类名，也就是说，这里我们尝试用my_car.__cupholders 来调用时，Python默认的正确写法是 my_car._Car__cupholders，现在再试一下：

print(f"It has {my_car._Car__cupholders} cupholders")
Out: It has 6 cupholders

依然没拦住。。。。不过我个人认为这种规定公有私有变量的方式也是好处多多，这里就仁者见仁，智者见智了~

Manage access

就像刚刚提到的，Python所有的东西都是公有的，我们可以随意的新增，修改，甚至删除变量：

my_car = Car("yellow", "beetle", 1969)
print(f"My car was built in {my_car.year}")

my_car.year = 2003
print(f"It was built in {my_car.year}")

del my_car.year
print(f"It was built in {my_car.year}")

Out：
My car was built in 1969
It was built in 2003

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-110-46914b0bae82> in <module>
 6 
 7 del my_car.year
----> 8  print(f"It was built in {my_car.year}")

AttributeError: 'Car' object has no attribute 'year'

那我们如何才能控制属性的访问权限呢？Python给出的答案是装饰器 @property，这个类似于Java中的setter和getter，现在我们试试：

class Car:
    def __init__(self, color, model, year):
        self.color = color
        self.model = model
        self.year = year
        self._voltage = 12

    @property
    def voltage(self):
        return self._voltage

    @voltage.setter
    def voltage(self, volts):
        print("Warning: this can cause problems!")
        self._voltage = volts

    @voltage.deleter
    def voltage(self):
        print("Warning: the radio will stop working!")
        del self._voltage

我们新增了voltage（电压）这个属性，并用property来控制外部的访问权限，这里我们定义了三个方法，利用setter方法可以改变voltage的值，利用getter方法来访问，利用deleter方法实现删除，接下来让我们新建实例来看看propert是如何工作的：

my_car = Car("yellow", "beetle", 1969)
print(f"My car uses {my_car.voltage} volts")

my_car.voltage = 6
print(f"My car now uses {my_car.voltage} volts")

del my_car.voltage

Out:
My car uses 12 volts
Warning: this can cause problems!
My car now uses 6 volts
Warning: the radio will stop working!

可以发现，我们这里直接使用.voltage 而不是._voltage，这样就告诉python去使用property装饰的方法，我们可以通过使用@.setter and @.deleter 使属性变为read-only（只读），从而保护voltage不会被随意修改和删除

slots

 class Celebrity:
     # 限定 Celebrity对象只能绑定name, age,domain属性,加速
    __slots__ = ['name','age',"domain"]
    # Class Attribute
    species = 'human'
    
    # Initializer / Instance Attributes
    def __init__(self, name, age, domain):
        self.name = name
        self.age = age
        self.domain = domain

这里注意我们用slots绑定了三个属性给Celebrity，这就是slots的作用：

如果我们需要限定自定义类型的对象只能绑定某些属性，可以通过在类中定义__slots__变量来进行限定。需要注意的是__slots__的限定只对当前类的对象生效，对子类并不起任何作用。
加速

现在可以做个实验，首先我们把slots绑定的domian属性去掉：

class Celebrity:
    
    # Class Attribute
    species = 'human'
    __slots__ = ['name', 'age']
    # Initializer / Instance Attributes
    def __init__(self, name, age,domain):
        self.name = name
        self.age = age
        self.domain = domain
        
female_leader = Celebrity("Miss Dong",65,"electrical appliance")

# Access the instance attributes
print("{} is {}.".format(
    female_leader.name, female_leader.age))

Out:AttributeError: 'Celebrity' object has no attribute 'domain'

会发现报错了，即便我们在init方法中有domain属性，但是由于slots中没有，所以Celebrity类下创建的对象都不能有domain,接下来让我们简单回顾一下如何调用类变量：

female_leader = Celebrity("Miss Dong", 65,"electrical appliance")
male_leader = Celebrity("Jack Ma", 55,"internet")

# Access the instance attributes
print("{} is {} and {} is {}.".format(
    female_leader.name, female_leader.age, male_leader.name, male_leader.age))

# Is male_leader a human?
if male_leader.species == "human":
    print("{0} is a {1}!".format(male_leader.name, male_leader.species))  

Out:
Miss Dong is 65 and Jack Ma is 55.
Jack Ma is a human!

*args

其实args应该和kargs一起来说，但是今天先重点看一下它在对象中的应用，我们现在给Celebrity类新建3个对象，并且我们想知道年龄最大的是谁？

这种情况下*args很好用：

a = Celebrity("Miss Dong",65,"electrical appliance")
b = Celebrity("Jack Ma", 55,"internet")
c = Celebrity("Lei Jun", 50,"mobile")

def get_oldest(*args):
    return max(args)

print("The big brother is {} years old.".format(get_oldest(a.age, b.age, c.age)))

Out:
The big brother is 65 years old.

Inheritance

首先，我们在Celebrity类中新增两个方法:

description:对生成的大佬简单描述
speak: 大佬发言

完成后的结果如下：

class Celebrity:
     

    __slots__ = ['name', 'age',"domain"]
    species = 'human'

    def __init__(self, name, age, domain):
        self.name = name
        self.age = age
        self.domain = domain
        
     # instance method
    def description(self):
        return "{} is {} years old, working in the {} industry".format(self.name, self.age,self.domain)

    # instance method
    def speak(self, sound):
        return "{} says {}".format(self.name, sound)

现在新建两个类InternetBoss，MobileBoss，全部继承于 Celebrity类：

    # Child class (inherits from Dog() class)
    class InternetBoss(Celebrity):
        pass

    # Child class (inherits from Dog() class)
    class MobileBoss(Celebrity):
        pass

如果我们什么都不做，会自动继承父类的 description和speak方法，我们做个实验，新建li作为InternetBoss的对象：

li = InternetBoss("Robbin",50,"advertisement")

调用description和speak方法：

li.description()
li.speak("What's your problem ?")

Out:
Robbin is 50 years old, working in the advertisement industry
Robbin says: What's your problem ?

lei = MobileBoss("leijun", 50,"mobile")
lei.speak("Are you ok ?")

Out:
leijun says: Are you ok ?

Polymorphisn & Override

class InternetBoss(Celebrity):
    def description(self):
        print("I'm Internet Boss !")
         
class MobileBoss(Celebrity):
    def description(self):
        print("I'm Mobile phone Boss !")
            
            
li = InternetBoss("Robbin",50,"advertisement")
lei = MobileBoss("leijun", 50,"mobile")

li.description()
lei.description()

Out:
I'm Internet Boss !
I'm Mobile phone Boss !

isinstance() & issubclass()

Python 有两个判断继承的函数：

isinstance() 用于检查实例类型
issubclass() 用于检查类继承

class Celebrity:
    __slots__ = ['name', 'age',"domain"]
    species = 'human'

    def __init__(self, name, age, domain):
        self.name = name
        self.age = age
        self.domain = domain
        
    def description(self):
        print( "{} is {} years old, working in the {} industry".format(self.name, self.age,self.domain))

    def speak(self, sound):
        print("{} says: {}".format(self.name, sound))
        
        
        
class InternetBoss(Celebrity):
    def description(self):
        print("I'm Internet Boss !")
         
class MobileBoss(Celebrity):
    def description(self):
        print("I'm Mobile phone Boss !")
        
mingzhu = Celebrity("Miss Dong",65,"electrical appliance")
ma= InternetBoss("Pony", 48,"internet")
lei = MobileBoss("leijun", 50,"mobile")    

# 现在使用issubclass（）判断InternetBoss和MobileBoss是否继承自Celebrity：

issubclass(InternetBoss,Celebrity) 
# True
issubclass(MobileBoss,Celebrity) 
# True

#使用isinstance（）查看mingzhu到底是谁的实例：
isinstance(mingzhu,Celebrity)
# True

isinstance(mingzhu,InternetBoss)
# False

isinstance(mingzhu,MobileBoss)
# False

#同理查看ma到底是哪个类的实例：
isinstance(ma,Celebrity)
# True

isinstance(ma,InternetBoss)
# True

isinstance(ma,MobileBoss)
# False

Sub class overwrite init

刚才提到了，如果子类没有写构造函数init（），会自动继承父类的init，但我们通常需要子类有不同的初始函数，这样我们就需要自己复写一下，这里以InternetBoss为例：

class InternetBoss(Celebrity):
    def __init__(self,name, age, domain,hometown):
        super().__init__(name, age, domain)
        self.hometown = hometown
        
    
    def description(self):
        print("I'm Internet Boss !")
        
    def __repr__(self):
        return f"This is {self.name} speaking !"

Example

import random
class BingoCage:
    __slots__ = ("_items")
    def __init__(self, items):
        self._items = list(items) 
        random.shuffle(self._items) 

    def pick(self): 
        try:
            return self._items.pop()
        except IndexError:
            raise LookupError('pick from empty BingoCage') 
    def __call__(self): 
        return self.pick()
        
        

bingo= BingoCage(range(20))
bingo()  # 10

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