试试这段代码。希望它能帮助很多像我一样的C程序员学习Py。

#! /usr/bin/python2

class Person:

    '''Doc - Inside Class '''

    def __init__(self, name):
        '''Doc - __init__ Constructor'''
        self.n_name = name        

    def show(self, n1, n2):
        '''Doc - Inside Show'''
        print self.n_name
        print 'Sum = ', (n1 + n2)

    def __del__(self):
        print 'Destructor Deleting object - ', self.n_name

p=Person('Jay')
p.show(2, 3)
print p.__doc__
print p.__init__.__doc__
print p.show.__doc__

输出:

Jay

Sum = 5

博士-内部类

Doc - __init__构造函数

医生-内情秀

析构函数删除对象- Jay

简而言之:

正如它所暗示的那样，Self指的是它自己——调用方法的对象。也就是说，如果你有N个对象调用这个方法，那么self。a将引用N个对象中每个对象的变量的一个单独实例。假设每个对象有N个变量a的副本 __init__在其他OOP语言(如c++ /Java)中被称为构造函数。基本思想是，它是一个特殊的方法，当创建该类的对象时自动调用

__init__确实像一个构造函数。如果您希望任何类函数表现为非静态方法，则需要将“self”作为第一个参数传递给它们。self是类的实例变量。

只是这个问题的一个演示。

class MyClass:

    def __init__(self):
        print('__init__ is the constructor for a class')

    def __del__(self):
        print('__del__ is the destructor for a class')

    def __enter__(self):
        print('__enter__ is for context manager')
        return self

    def __exit__(self, exc_type, exc_value, traceback):
        print('__exit__ is for context manager')

    def greeting(self):
        print('hello python')


if __name__ == '__main__':
    with MyClass() as mycls:
        mycls.greeting()

$ python3 class.objects_instantiation.py
__init__ is the constructor for a class
__enter__ is for context manager
hello python
__exit__ is for context manager
__del__ is the destructor for a class

在这里，这个家伙写得很好，很简单:https://www.jeffknupp.com/blog/2014/06/18/improve-your-python-python-classes-and-object-oriented-programming/

阅读上面的链接作为参考:

self? So what's with that self parameter to all of the Customer methods? What is it? Why, it's the instance, of course! Put another way, a method like withdraw defines the instructions for withdrawing money from some abstract customer's account. Calling jeff.withdraw(100.0) puts those instructions to use on the jeff instance. So when we say def withdraw(self, amount):, we're saying, "here's how you withdraw money from a Customer object (which we'll call self) and a dollar figure (which we'll call amount). self is the instance of the Customer that withdraw is being called on. That's not me making analogies, either. jeff.withdraw(100.0) is just shorthand for Customer.withdraw(jeff, 100.0), which is perfectly valid (if not often seen) code. init self may make sense for other methods, but what about init? When we call init, we're in the process of creating an object, so how can there already be a self? Python allows us to extend the self pattern to when objects are constructed as well, even though it doesn't exactly fit. Just imagine that jeff = Customer('Jeff Knupp', 1000.0) is the same as calling jeff = Customer(jeff, 'Jeff Knupp', 1000.0); the jeff that's passed in is also made the result. This is why when we call init, we initialize objects by saying things like self.name = name. Remember, since self is the instance, this is equivalent to saying jeff.name = name, which is the same as jeff.name = 'Jeff Knupp. Similarly, self.balance = balance is the same as jeff.balance = 1000.0. After these two lines, we consider the Customer object "initialized" and ready for use. Be careful what you __init__ After init has finished, the caller can rightly assume that the object is ready to use. That is, after jeff = Customer('Jeff Knupp', 1000.0), we can start making deposit and withdraw calls on jeff; jeff is a fully-initialized object.

是的，你是对的，这些是oop结构。

__init__是类的构造函数。self形参引用对象的实例(在c++中就像这样)。

class Point:
    def __init__(self, x, y):
        self._x = x
        self._y = y

__init__方法在对象的内存被分配后被调用:

x = Point(1,2)

如果你想在对象中持久化这个值，在对象的方法中使用self参数是很重要的。例如，如果你像这样实现__init__方法:

class Point:
    def __init__(self, x, y):
        _x = x
        _y = y

您的x和y参数将存储在堆栈上的变量中，当init方法超出作用域时将被丢弃。将这些变量设置为self。_x和self。_y将这些变量设置为Point对象的成员(在对象的生命周期内都可以访问)。

注意:对这个回答中“构造者”一词的使用做了一些澄清。从技术上讲，在Python中，“构造函数”的职责被划分为两个方法。这些方法是__new__(负责分配内存)和__init__(如本文所述，负责初始化新创建的实例)。