stackoverflow 真是寶庫, 眾多高手分享經驗及解答,讓問題能得到公開透明且大家可以討論的回答,現在的同學真幸福,碰到疑問一定要到這裡查查!
先說結論 養成一個好習慣,任何的class 宣告時,且習慣性的加入 def __init__(self,name1,name2,....):,讓它變成class宣告時的"起手式"
這邊代表宣告時會自動執行的函式
如上面的簡單範例1,在起手式添加了一個name屬性
所以在創造實體時,都必須要給這個屬性一個參數
才能成功創造實體
self代表类的实例,而非类。
实例来说明
class Test:
def prt(self):
print(self)
print(self.__class__)
t = Test()
t.prt()
执行结果如下
<__main__.Test object at 0x000000000284E080>
<class '__main__.Test'>
从上面的例子中可以很明显的看出,self代表的是类的实例。而self.__class__则指向类。
self不必非写成self
有很多童鞋是先学习别的语言然后学习Python的,所以总觉得self怪怪的,想写成this,可以吗?
当然可以,还是把上面的代码改写一下。
class Test:
def prt(this):
print(this)
print(this.__class__)
t = Test()
t.prt()
改成this后,运行结果完全一样。
当然,最好还是尊重约定俗成的习惯,使用self。
self可以不写吗
在Python的解释器内部,当我们调用t.prt()时,实际上Python解释成Test.prt(t),也就是说把self替换成类的实例。
有兴趣的童鞋可以把上面的t.prt()一行改写一下,运行后的实际结果完全相同。
实际上已经部分说明了self在定义时不可以省略,如果非要试一下,那么请看下面:
class Test:
def prt():
print(self)
t = Test()
t.prt()
运行时提醒错误如下:prt在定义时没有参数,但是我们运行时强行传了一个参数。
由于上面解释过了t.prt()等同于Test.prt(t),所以程序提醒我们多传了一个参数t。
Traceback (most recent call last):
File "h.py", line 6, in <module>
t.prt()
TypeError: prt() takes 0 positional arguments but 1 was given
当然,如果我们的定义和调用时均不传类实例是可以的,这就是类方法。
class Test:
def prt():
print(__class__)
Test.prt()
运行结果如下
<class '__main__.Test'>
在继承时,传入的是哪个实例,就是那个传入的实例,而不是指定义了self的类的实例。
先看代码
class Parent:
def pprt(self):
print(self)
class Child(Parent):
def cprt(self):
print(self)
c = Child()
c.cprt()
c.pprt()
p = Parent()
p.pprt()
运行结果如下
<__main__.Child object at 0x0000000002A47080>
<__main__.Child object at 0x0000000002A47080>
<__main__.Parent object at 0x0000000002A47240>
解释:
运行c.cprt()时应该没有理解问题,指的是Child类的实例。
但是在运行c.pprt()时,等同于Child.pprt(c),所以self指的依然是Child类的实例,由于self中没有定义pprt()方法,所以沿着继承树往上找,发现在父类Parent中定义了pprt()方法,所以就会成功调用。
在描述符类中,self指的是描述符类的实例
不太容易理解,先看实例:
class Desc:
def __get__(self, ins, cls):
print('self in Desc: %s ' % self )
print(self, ins, cls)
class Test:
x = Desc()
def prt(self):
print('self in Test: %s' % self)
t = Test()
t.prt()
t.x
运行结果如下:
self in Test: <__main__.Test object at 0x0000000002A570B8>
self in Desc: <__main__.Desc object at 0x000000000283E208>
<__main__.Desc object at 0x000000000283E208> <__main__.Test object at 0x0000000002A570B8> <class '__main__.Test'>
大部分童鞋开始有疑问了,为什么在Desc类中定义的self不是应该是调用它的实例t吗?怎么变成了Desc类的实例了呢?
注意:此处需要睁大眼睛看清楚了,这里调用的是t.x,也就是说是Test类的实例t的属性x,由于实例t中并没有定义属性x,所以找到了类属性x,而该属性是描述符属性,为Desc类的实例而已,所以此处并没有顶用Test的任何方法。
那么我们如果直接通过类来调用属性x也可以得到相同的结果。
下面是把t.x改为Test.x运行的结果。
self in Test: <__main__.Test object at 0x00000000022570B8>
self in Desc: <__main__.Desc object at 0x000000000223E208>
<__main__.Desc object at 0x000000000223E208> None <class '__main__.Test'>
When objects are instantiated, the object itself is passed into the self parameter.
Because of this, the object’s data is bound to the object. Below is an example of how you might like to visualize what each object’s data might look. Notice how ‘self’ is replaced with the objects name. I'm not saying this example diagram below is wholly accurate but it hopefully with serve a purpose in visualizing the use of self.
The Object is passed into the self parameter so that the object can keep hold of its own data.
Although this may not be wholly accurate, think of the process of instantiating an object like this: When an object is made it uses the class as a template for its own data and methods. Without passing it's own name into the self parameter, the attributes and methods in the class would remain as a general template and would not be referenced to (belong to) the object. So by passing the object's name into the self parameter it means that if 100 objects are instantiated from the one class, they can all keep track of their own data and methods.
ClassA
which contains a method methodA
defined as:def methodA(self, arg1, arg2):
# do something
and ObjectA
is an instance of this class.
Now when ObjectA.methodA(arg1, arg2)
is called, python internally converts it for you as:
ClassA.methodA(ObjectA, arg1, arg2)
The self
variable refers to the object itself.
class A:
foo = []
a, b = A(), A()
a.foo.append(5)
b.foo
ans: [5]
class A:
def __init__(self):
self.foo = []
a, b = A(), A()
a.foo.append(5)
b.foo
ans: []
Take a look at the following example, which clearly explains the purpose of self
class Restaurant(object):
bankrupt = False
def open_branch(self):
if not self.bankrupt:
print("branch opened")
#create instance1
>>> x = Restaurant()
>>> x.bankrupt
False
#create instance2
>>> y = Restaurant()
>>> y.bankrupt = True
>>> y.bankrupt
True
>>> x.bankrupt
False
self
is used/needed to distinguish between instances.
The 'self' is a reference to the class instance
class foo:
def bar(self):
print "hi"
Now we can create an instance of foo and call the method on it, the self parameter is added by Python in this case:
f = foo()
f.bar()
But it can be passed in as well if the method call isn't in the context of an instance of the class, the code below does the same thing
f = foo()
foo.bar(f)
Interestingly the variable name 'self' is just a convention. The below definition will work exactly the same.. Having said that it is very strong convention which should be followed always, but it does say something about flexible nature of the language
class foo:
def bar(s):
print "hi"
What does self do? What is it meant to be? Is it mandatory?
The first argument of every class method, including init, is always a reference to the current instance of the class. By convention, this argument is always named self.In the init method, self refers to the newly created object; in other class methods, it refers to the instance whose method was called.
Python doesn't force you on using "self". You can give it any name you want. But remember that the first argument in a method definition is a reference to the object.Python adds the self argument to the list for you; you do not need to include it when you call the methods. if you didn't provide self in init method then you will get an error
TypeError: __init___() takes no arguments (1 given)
In this code:
class A(object):
def __init__(self):
self.x = 'Hello'
def method_a(self, foo):
print self.x + ' ' + foo
... the self
variable represents the instance of the object itself. Most object-oriented languages pass this as a hidden parameter to the methods defined on an object; Python does not. You have to declare it explicitly. When you create an instance of the A
class and call its methods, it will be passed automatically, as in ...
a = A() # We do not pass any argument to the __init__ method
a.method_a('Sailor!') # We only pass a single argument
The __init__
method is roughly what represents a constructor in Python. When you call A()
Python creates an object for you, and passes it as the first parameter to the __init__
method. Any additional parameters (e.g., A(24, 'Hello')
) will also get passed as arguments--in this case causing an exception to be raised, since the constructor isn't expecting them.