js中如何返回一个存放对象的数组?

时间:2021-08-10 04:01:55

我这边需要返回后台数据的形式是这样的

{[
{
"ItemId": "",
"SelectId":
},
{
"ItemId": "",
"SelectId":
},
{
"ItemId": "",
"SelectId":
},
{
"ItemId": "",
"SelectId":
},
{
"ItemId": "",
"SelectId":
}
]}

页面是通过循环去获取每一个对象中属性的值

 {
"ItemId": "",
"SelectId":
}

那么在js页面中,如何返回一个这样格式的数据呢?

[
{
"ItemId": "",
"SelectId":
},
{
"ItemId": "",
"SelectId":
},
{
"ItemId": "",
"SelectId":
}
]

首先在js中定义一个函数对象goods(item1,item2)

//定义函数 goods 返回所需的数据
function goods(item1,item2){
return {"ItemId":item1,"SelectId":item2};
}

然后定义一个数组对象Array

//定义一个数组对象,存放函数对象
var array = new Array();

下一步,追加函数对象值到数组中

//循环5次追加数据到数组中
for(var i=0;i<5;i++){
array.push(goods((i+1),(i+10)));
}

查看数组是否保存添加的数据

 //循环查看
for(var j=0;j<array.length;j++){
console.log(array[j]);
}

查看数组的结果

aaarticlea/png;base64,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" alt="" />

测试全部代码:

Html页面

<body>
<input type="button" value="测试数组" onClick="Test()" />
</body>

js页面

<script>
//定义js函数对象方法
function goods(item1,item2){
return {"ItemId":item1,"SelectId":item2};
}
function Test(){
//定义存放函数对象的数组
var array = new Array();
//循环5次追加数据到数组中
for(var i=0;i<5;i++){
array.push(goods((i+1),(i+10)));
}
//循环查看
for(var j=0;j<array.length;j++){
console.log(array[j]);
}
}
</script>

测试的结果(谷歌调试界面)

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" 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