想想这个例子:

class MyClass:
    def func(self, name):
        self.name = name

我知道self引用MyClass的特定实例。但是为什么func必须显式地包含self作为参数呢?为什么我们需要在方法的代码中使用self ?其他一些语言将其隐式化,或者使用特殊的语法。


有关设计决策的语言无关性考虑,请参见强制显式使用this/self指针的好处是什么?

要关闭OP省略方法的self形参并获得TypeError的调试问题,请使用TypeError: method()接受1个位置参数,但给出了2个。如果OP省略了self。在方法体中得到一个NameError,考虑如何在类中调用函数?


当前回答

Self的作用类似于当前对象名或类的实例。

# Self explanation.


 class classname(object):

    def __init__(self,name):

        self.name=name
        # Self is acting as a replacement of object name.
        #self.name=object1.name

   def display(self):
      print("Name of the person is :",self.name)
      print("object name:",object1.name)


 object1=classname("Bucky")
 object2=classname("ford")

 object1.display()
 object2.display()

###### Output 
Name of the person is : Bucky
object name: Bucky
Name of the person is : ford
object name: Bucky

其他回答

它是对类实例对象的显式引用。

The reason you need to use self. is because Python does not use special syntax to refer to instance attributes. Python decided to do methods in a way that makes the instance to which the method belongs be passed automatically, but not received automatically: the first parameter of methods is the instance the method is called on. That makes methods entirely the same as functions, and leaves the actual name to use up to you (although self is the convention, and people will generally frown at you when you use something else.) self is not special to the code, it's just another object.

Python could have done something else to distinguish normal names from attributes -- special syntax like Ruby has, or requiring declarations like C++ and Java do, or perhaps something yet more different -- but it didn't. Python's all for making things explicit, making it obvious what's what, and although it doesn't do it entirely everywhere, it does do it for instance attributes. That's why assigning to an instance attribute needs to know what instance to assign to, and that's why it needs self..

让我们看一个简单的向量类:

class Vector:
    def __init__(self, x, y):
        self.x = x
        self.y = y

我们需要一个计算长度的方法。如果我们想在类中定义它会是什么样子呢?

    def length(self):
        return math.sqrt(self.x ** 2 + self.y ** 2)

当我们将它定义为全局方法/函数时,它应该是什么样子?

def length_global(vector):
    return math.sqrt(vector.x ** 2 + vector.y ** 2)

所以整个结构保持不变。我怎样才能利用这个呢?假设我们还没有为Vector类编写length方法,我们可以这样做:

Vector.length_new = length_global
v = Vector(3, 4)
print(v.length_new()) # 5.0

这是因为length_global的第一个参数可以重用为length_new中的self参数。如果没有显式的自我,这是不可能的。


另一种理解显式self需求的方法是查看Python在哪里添加了一些语法糖。当你记住的时候,基本上,一个电话就像

v_instance.length()

在内部转化为

Vector.length(v_instance)

很容易看出自我在哪里。实际上你不用在Python中编写实例方法;你所写的是类方法,它必须以一个实例作为第一个参数。因此,必须显式地将实例参数放置在某个位置。

它的使用类似于Java中this关键字的使用,即给出对当前对象的引用。

看看下面的例子,它清楚地解释了self的目的

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用于/需要用于区分实例。

来源:python中的self变量解释- Pythontips