javascript继承--原型链的 继承

作者的话：原型链是JavaScript中相当重要的一个知识点，这里我使用了函数结构图，来帮助我更好的理解

 /*
 原型链继承方式：
     通过改变一个对象的原型对象的指向来继承另一个对象
     原理：
         我们知道，一个对象的实例会继承他的原型对象的所有属性和方法。所以说，如果，我们继承对象的原型对象，是被继承对象的原型对象的实例的话，那么，他不就继承了被继承对象的原型对象的所有属性和方法了么
 */
 //创建一个被继承对象，并给他两个属性
 function a(){
     this.name = "兔子只吃胡萝卜";
     this.age=12;
 }

 /*
     利用构造方法来创建继承对象
 */
 //创建一个继承对象，这里我们不给他设置任何属性
 function b(){
 }
 //我们让继承对象的原型对象得到被继承对象的实例
 b.prototype = new a();
 //我们为继承对象创建一个实例
 var b1 = new b();
 console.log(b1.name);//"兔子只吃胡萝卜"
 console.log(b1.age);//

 /*
     直接创建继承对象的实例
 */
 var c = {
 };
 c.__proto__ = new a();
 console.log(c.name);//"兔子只吃胡萝卜"
 console.log(c.age);//

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" 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原型链继承中，存在着缺陷，其中，最明显的缺陷就是在使用引用类型的时候，会导致原型对象中，引用的数据发生改变，从而影响了我们需要使用的数据