数据的双向绑定(ES6写法)
效果:
没有改变 input 框里面的值时aaarticlea/png;base64,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" alt="" />
将input 框里面的值清空时:aaarticlea/png;base64,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" alt="" />
重新给 input 框输入 豆豆 后aaarticlea/png;base64,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" alt="" />页面中 span 里绑定{{testData.name}}的值随着 input 框值的变化而变化.
在Vue.js中可以使用v-model
指令在表单元素上创建双向数据绑定。并且v-model
指令只能用于:<input>
、<select>
、<textarea>
这三种标签。
<template>
<div>
<div class="form-inline mg-top">
<div class="form-group">
<label class="control-label">姓名:</label>
<input type="text" v-model='testData.name' class="form-control">
<span class="control-span">姓名变为:{{testData.name}}</span>
</div>
</div>
</div>
</template> <script>
export default {
components: {
},
ready: function(){
},
methods: {
},
data() {
return {
testData:{
id:'',
name:'张三',
age:''
}
}
}
}
</script>
Vue.js的组件可以理解为预先定义好了行为的ViewModel类。一个组件可以预定义很多选项,但最核心的是以下几个:
- 模板(template):模板声明了数据和最终展现给用户的DOM之间的映射关系。
- 注册组件(components):注册之后即可在父组件模板中以自定义元素的形式调用一个子组件。
- 初始数据(data):一个组件的初始数据状态。对于可复用的组件来说,这通常是私有的状态。
- 接受的外部参数(props):组件之间通过参数来进行数据的传递和共享。参数默认是单向绑定(由上至下),但也可以显式地声明为双向绑定。
- 方法(methods):对数据的改动操作一般都在组件的方法内进行。可以通过v-on指令将用户输入事件和组件方法进行绑定。
- 生命周期钩子函数(lifecycle hooks):一个组件会触发多个生命周期钩子函数,比如created,attached,destroyed等等。在这些钩子函数中,我们可以封装一 些自定义的逻辑。和传统的MVC相比,可以理解为 Controller的逻辑被分散到了这些钩子函数中。
- 私有资源(assets):Vue.js当中将用户自定义的指令、过滤器、组件等统称为资源。由于全局注册资源容易导致命名冲突,一个组件可以声明自己的私有资源。私有资源只有该组件和它的子组件可以调用。
常用指令:
所谓 指令 ,其实本质就是在模板中出现的特殊标记,根据这些标记让框架知道需要对这里的 DOM 元素进行什么操作。
常用指令:
- v-if指令
- v-show指令
- v-else指令
- v-for指令
- v-bind指令
- v-on指令
v-if指令:
v-if
根据表达式的值的真假条件渲染元素。在切换时元素及它的数据绑定 / 组件被销毁并重建。如果元素是 <template>
,将提出它的内容作为条件块。
labelShowFlag是一个返回bool值的表达式,表达式可以是一个bool属性,也可以是一个返回bool的运算式。
aaarticlea/png;base64,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" alt="" />aaarticlea/png;base64,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" alt="" />
html:
<label class="control-label" v-if='labelShowFlag'>喵嘞个咪</label>
<label class="control-label" v-if="testData.name=='张三'" >张三</label>
js:
<script>
export default {
components: {
},
ready: function(){
},
methods: {
},
data() {
return {
labelShowFlag:true,
testData:{
id:'',
name:'张三',
age:''
}
}
}
}
</script>
v-show指令:
v-show
也是条件渲染指令,和v-if指令不同的是,使用v-show
指令的元素始终会被渲染到HTML,v-show
只是简单的切换元素的 CSS 属性 display
。
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*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" 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" alt="" />
html:
<label class="control-label" v-show='labelShowFlag'>喵嘞个咪</label>
<label class="control-label" v-show="testData.name=='张三'" >张三</label>
js:
<script>
export default {
components: {
},
ready: function(){
},
methods: {
},
data() {
return {
labelShowFlag:true,
testData:{
id:'',
name:'张三',
age:''
}
}
}
}
</script>
v-else指令:
可以用 v-else
指令给 v-if
或 v-show
添加一个 “else 块”,并且v-else
元素必须立即跟在 v-if
或 v-show
元素的后面——否则它不能被识别。
<label class="control-label" v-if='labelShowFlag'>喵嘞个咪</label>
<label class="control-label" v-if="testData.name=='张三'" >张三</label>
<label class="control-label" v-else>不是张三</label>
v-for指令:
可以使用 v-for
指令基于一个数组渲染一个列表。这个指令使用特殊的语法,形式为 item in items
,items
是数据数组,item
是当前数组元素的别名:
aaarticlea/png;base64,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" alt="" />
html:
<ul>
<li v-for="item in items">
{{ item.message }}
</li>
</ul>
js:
<script>
export default {
components: {
},
ready: function(){
},
methods: {
},
data() {
return {
labelShowFlag:true,
testData:{
id:'',
name:'张三',
age:''
},
items: [{
message: '豆豆'
}, {
message: '毛毛'
}],
}
}
}
</script>
v-bind指令:
v-bind
指令用于响应地更新 HTML 特性 形式如:v-bind:class
html:
<label class="control-label" v-bind:class="{'pink-label': labelShowFlag}" >我是粉色的</label>
<label class="control-label">默认</label>
v-on指令:
v-on 指令用于监听DOM事件 形式如:v-on:click 缩写为 @click;
html:
<input type="button" class="form-control btn btn-primary" value="提交" @click='saveFun'>
js:
<script>
export default {
components: {
},
ready: function(){
},
methods: {
saveFun:function(){
alert('提交');
}
},
data() {
return {
labelShowFlag:true,
testData:{
id:'',
name:'张三',
age:''
},
items: [{
message: '豆豆'
}, {
message: '毛毛'
}],
}
}
}
</script>