--- title: Class localeTitle: 类 --- ## 类 类提供了将数据和功能捆绑在一起的方法。 创建新类会创建一种新类型的对象,从而允许创建该类型的新实例。 每个类实例都可以附加属性以维护其状态。 类实例还可以具有用于修改其状态的方法(由其类定义)。 与其他编程语言相比,Python的类机制添加的类最少 新的语法和语义。它是C ++中的类机制的混合体。 Python类提供面向对象编程的所有标准功能: 类继承机制允许多个基类, 派生类可以覆盖其基类或类的任何方法, 并且方法可以调用具有相同名称的基类的方法。 对象可以包含任意数量和种类的数据。 与模块一样,类也参与Python的动态特性: 它们是在运行时创建的,可以在创建后进一步修改。 #### 类定义语法: 最简单的类定义形式如下所示: ```python class ClassName: ... ... ... ``` #### Class Objects: Class objects support two kinds of operations: attribute references and instantiation. Attribute references use the standard syntax used for all attribute references in Python: `obj.name`. Valid attribute names are all the names that were in the class's namespace when the class object was created. So, if the class definition looked like this: ``` 蟒蛇 class MyClass: “”一个简单的示例类“”“ 我= 12345 ``` def f(self): return 'hello world' ``` ``` Then `MyClass.i` and `MyClass.f` are valid attribute references, returning an integer and a function object, respectively. Class attributes can also be assigned to, so you can change the value of `MyClass.i` by assignment. `__doc__` is also a valid attribute, returning the docstring belonging to the class: `"A simple example class"`. Class instantiation uses function notation. Just pretend that the class object is a parameterless function that returns a new instance of the class. For example (assuming the above class): ``` 蟒蛇 x = MyClass() ``` Creates a new instance of the class and assigns this object to the local variable x. The instantiation operation (“calling” a class object) creates an empty object. Many classes like to create objects with instances customized to a specific initial state. Therefore a class may define a special method named __init__(), like this: ``` 蟒蛇 def **init** (self): self.data = \[\] ``` When a class defines an `__init__()` method, class instantiation automatically invokes `__init__()` for the newly-created class instance. So in this example, a new, initialized instance can be obtained by: ``` 蟒蛇 x = MyClass() ``` Of course, the `__init__()` method may have arguments for greater flexibility. In that case, arguments given to the class instantiation operator are passed on to `__init__()`. For example, ``` 蟒蛇 类复杂: def **init** (self,realpart,imagpart): self.r = realpart self.i = imagpart ... x =复数(3.0,-4.5) > > > xr,xi (3.0,-4.5) \`\`\`