这几天，看了一下echarts官网的api和demo发现很有意思，于是就利用模型预测产生的数据做一个伪实时的动态数据显示 。本文主要介绍了html5+js+jquery+echarts实现异步加载问题,需要的朋友可以参考下，希望能帮助到大家。
首先，创建一个index.html的文件，我用的vscode打开的，进行编写。
1.插入一个标签
<p id="main" style="width:600px;height:400px;"></p>
设置他的一些style（可自行美化，我很懒！！！）。
2.在body下建一个<script>脚本（为什么要在body下写js脚本呢？因为这是提高用户体验，可自行百度深层次的原因~~~）。
立即学习“前端免费学习笔记（深入）”；
3.脚本写啥呢？别急，慢慢来啊~~
（1）首先，我们来建一个echarts的对象，就叫他MyChart吧
var myChart = echarts.init(document.getElementById('main'));（2）建一个setoption这是初始化图的，填一些基本参数（可通过此链接飞到Echarts官网的配置参考一下）
（3）初始化了之后，我们就可以ajax异步读取本地文件了~~~~
其中不懂堆栈的（链接在此这个是我Google的，有可能被墙~~）不懂push，shift操作数据的（链接在此这个应该不会被墙~~）
$.ajax({
type:"get",
// async:true,
url:"test_data.json",
data:{},
dataType:"json",
success:function(result){
var datas=result
if(result){
var m=0;
for(var i=0;i<result.length;i++){
if(m<1000){
datas.shift();
date.push(result[i]["time"]);
data.push(result[i]["AM23SIG0206.AV"]);
m+=1;
}
else{
break;
}
myChart.hideLoading();
setInterval(function(){
for(var n=0;n<2;n++){
date.shift();
date.push(datas[n]["time"]);
data.shift();
data.push(datas[n]["AM23SIG0206.AV"]);
}
myChart.setOption({
xAxis:{
data:date
},
series:[
{
name:"参数",
data:data
}
]});
for(var nn=0;nn<2;nn++){
datas.shift()
}
},2000);
}
}
},
error:function(errorMsg){
alert("图表请求数据失败！");
myChart.hideLoading();
myChart_2.hideLoading();
}
})我来解释一下，这个异步加载的原理是这样子的：
（1）我们现在加载一个.json文件，存在一个变量result里，开始进行数据的操作，利用堆栈的概念先存一个图上要显示的数据量，假设是1000个点，存到data里(这是一个队列）你如果要实现动态的实时的数据，看着数据他会动~~~~你需要存一个数据进去，但是呢这个队列只有1000个容量，放不下怎么办，没关系啊，你先取一个出来不就行了嘛，就这样循环下去~~~~
（2）但是啊，取一个存一个太麻烦了，我们在设置一个定时器setInterval()在这个里面，每过2s更新2个点（怎么更新呢，就是data.shift()
data.push()
模拟了堆栈~~~~
这样就达到了动态数据了~~~~
好吧，如果只是这样也太low了，我要实现一个框架+数据库+前端的真正数据动起来~~~~让我在研究几天~~~~~~
好了，不废话了，下面是源码，有需要的童鞋可以自己跑一下，看看可不可以动~~~~~
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Charts</title>
<script type="text/javascript" src="echarts.min.js"></script>
<script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.2.6/jquery.min.js"></script>
</head>
<body>
<p id="main" style="width:600px;height:400px;"></p>
<p id="main_2" style="width:600px;height:400px;"></p>
</body>
<script type="text/javascript">
var myChart = echarts.init(document.getElementById('main'));
var myChart_2 = echarts.init(document.getElementById('main_2'));
myChart.setOption({
title:{
text:'异步数据加载'
},
tooltip:{
show:true,
},
xAxis:{
type:'category',
boundaryGap:false,
data:[],
splitLine: {
show: false
},
},
yAxis:{
boundaryGap:[0,'100%'],
type:'value',
min:'dataMin',
max:'dataMax',
splitLine: {
show: false
},
},
series:[{
name:'参数',
type:'line',
data:[]
}]
});
myChart_2.setOption({
title:{
text:'异步数据加载'
},
tooltip:{
show:true,
},
xAxis:{
type:'category',
boundaryGap:false,
data:[],
splitLine: {
show: false
},
},
yAxis:{
boundaryGap:[0,'100%'],
type:'value',
min:'dataMin',
max:'dataMax',
splitLine: {
show: false
},
},
series:[{
name:'参数',
type:'line',
data:[]
}]
});
myChart.showLoading();
myChart_2.showLoading();
var date = [];
var data = [];
$.ajax({
type:"get",
// async:true,
url:"test_data.json",
data:{},
dataType:"json",
success:function(result){
var datas=result
if(result){
var m=0;
for(var i=0;i<result.length;i++){
if(m<1000){
datas.shift();
date.push(result[i]["time"]);
data.push(result[i]["AM23SIG0206.AV"]);
m+=1;
}
else{
break;
}
myChart.hideLoading();
myChart_2.hideLoading();
setInterval(function(){
for(var n=0;n<2;n++){
date.shift();
date.push(datas[n]["time"]);
data.shift();
data.push(datas[n]["AM23SIG0206.AV"]);
}
myChart.setOption({
xAxis:{
data:date
},
series:[
{
name:"参数",
data:data
}
]});
myChart_2.setOption({
xAxis:{
data:date
},
series:[
{
name:"参数",
data:data
}
]});
for(var nn=0;nn<2;nn++){
datas.shift()
}
},2000);
}
}
},
error:function(errorMsg){
alert("图表请求数据失败！");
myChart.hideLoading();
myChart_2.hideLoading();
}
})
</script>
</html>[
{
"AM23SIG0206.AV": "594.4071",
"time": "2016-05-01 00:00:01"
},
{
"AM23SIG0206.AV": "594.4207",
"time": "2016-05-01 00:00:04"
},
{
"AM23SIG0206.AV": "594.3883",
"time": "2016-05-01 00:00:07"
},
{
"AM23SIG0206.AV": "594.3586",
"time": "2016-05-01 00:00:10"
},
{
"AM23SIG0206.AV": "594.3883",
"time": "2016-05-01 00:00:13"
},
{
"AM23SIG0206.AV": "594.3398",
"time": "2016-05-01 00:00:16"
},
{
"AM23SIG0206.AV": "594.3398",
"time": "2016-05-01 00:00:19"
},
{
"AM23SIG0206.AV": "594.3075",
"time": "2016-05-01 00:00:22"
},
{
"AM23SIG0206.AV": "594.3076",
"time": "2016-05-01 00:00:25"
},
{
"AM23SIG0206.AV": "594.2753",
"time": "2016-05-01 00:00:28"
},
{
"AM23SIG0206.AV": "594.2753",
"time": "2016-05-01 00:00:31"
},
{
"AM23SIG0206.AV": "594.2429",
"time": "2016-05-01 00:00:34"
},
{
"AM23SIG0206.AV": "594.2753",
"time": "2016-05-01 00:00:37"
},
{
"AM23SIG0206.AV": "594.2429",
"time": "2016-05-01 00:00:40"
},
{
"AM23SIG0206.AV": "594.2565",
"time": "2016-05-01 00:00:43"
},
{
"AM23SIG0206.AV": "594.3075",
"time": "2016-05-01 00:00:46"
},
{
"AM23SIG0206.AV": "594.2726",
"time": "2016-05-01 00:00:49"
},
{
"AM23SIG0206.AV": "594.2752",
"time": "2016-05-01 00:00:52"
},
{
"AM23SIG0206.AV": "594.2914",
"time": "2016-05-01 00:00:55"
},
{
"AM23SIG0206.AV": "594.2726",
"time": "2016-05-01 00:00:58"
},
{
"AM23SIG0206.AV": "594.3075",
"time": "2016-05-01 00:01:01"
},
{
"AM23SIG0206.AV": "594.3075",
"time": "2016-05-01 00:01:04"
},
{
"AM23SIG0206.AV": "594.2752",
"time": "2016-05-01 00:01:07"
},
{
"AM23SIG0206.AV": "594.259",
"time": "2016-05-01 00:01:10"
},
{
"AM23SIG0206.AV": "594.2752",
"time": "2016-05-01 00:01:13"
},
{
"AM23SIG0206.AV": "594.2403",
"time": "2016-05-01 00:01:16"
},
{
"AM23SIG0206.AV": "594.2402",
"time": "2016-05-01 00:01:19"
},
{
"AM23SIG0206.AV": "594.1918",
"time": "2016-05-01 00:01:22"
},
{
"AM23SIG0206.AV": "594.2241",
"time": "2016-05-01 00:01:25"
},
{
"AM23SIG0206.AV": "594.1918",
"time": "2016-05-01 00:01:28"
},
{
"AM23SIG0206.AV": "594.1595",
"time": "2016-05-01 00:01:31"
},
{
"AM23SIG0206.AV": "594.0975",
"time": "2016-05-01 00:01:34"
},
{
"AM23SIG0206.AV": "594.1272",
"time": "2016-05-01 00:01:37"
},
{
"AM23SIG0206.AV": "594.111",
"time": "2016-05-01 00:01:40"
},
{
"AM23SIG0206.AV": "594.1136",
"time": "2016-05-01 00:01:43"
},
{
"AM23SIG0206.AV": "594.0787",
"time": "2016-05-01 00:01:46"
},
{
"AM23SIG0206.AV": "594.0813",
"time": "2016-05-01 00:01:49"
},
{
"AM23SIG0206.AV": "594.0464",
"time": "2016-05-01 00:01:52"
},
{
"AM23SIG0206.AV": "594.014",
"time": "2016-05-01 00:01:55"
},
{
"AM23SIG0206.AV": "594.014",
"time": "2016-05-01 00:01:58"
},
{
"AM23SIG0206.AV": "594.0328",
"time": "2016-05-01 00:02:01"
},
{
"AM23SIG0206.AV": "594.049",
"time": "2016-05-01 00:02:04"
},
{
"AM23SIG0206.AV": "594.0464",
"time": "2016-05-01 00:02:07"
},
{
"AM23SIG0206.AV": "594.0464",
"time": "2016-05-01 00:02:10"
},
{
"AM23SIG0206.AV": "594.0464",
"time": "2016-05-01 00:02:13"
},
{
"AM23SIG0206.AV": "594.0787",
"time": "2016-05-01 00:02:16"
},
{
"AM23SIG0206.AV": "594.049",
"time": "2016-05-01 00:02:19"
},
{
"AM23SIG0206.AV": "594.0625",
"time": "2016-05-01 00:02:22"
},
{
"AM23SIG0206.AV": "594.0948",
"time": "2016-05-01 00:02:25"
},
{
"AM23SIG0206.AV": "594.0774",
"time": "2016-05-01 00:02:28"
},
{
"AM23SIG0206.AV": "594.0464",
"time": "2016-05-01 00:02:31"
},
{
"AM23SIG0206.AV": "594.0948",
"time": "2016-05-01 00:02:34"
},
{
"AM23SIG0206.AV": "594.0625",
"time": "2016-05-01 00:02:37"
},
{
"AM23SIG0206.AV": "594.0625",
"time": "2016-05-01 00:02:40"
},
{
"AM23SIG0206.AV": "594.0625",
"time": "2016-05-01 00:02:43"
},
{
"AM23SIG0206.AV": "594.0787",
"time": "2016-05-01 00:02:46"
},
{
"AM23SIG0206.AV": "594.045",
"time": "2016-05-01 00:02:49"
},
{
"AM23SIG0206.AV": "594.0127",
"time": "2016-05-01 00:02:52"
},
{
"AM23SIG0206.AV": "594.0464",
"time": "2016-05-01 00:02:55"
},
{
"AM23SIG0206.AV": "594.014",
"time": "2016-05-01 00:02:58"
},
{
"AM23SIG0206.AV": "594.0464",
"time": "2016-05-01 00:03:01"
},
{
"AM23SIG0206.AV": "593.9818",
"time": "2016-05-01 00:03:04"
},
{
"AM23SIG0206.AV": "593.9495",
"time": "2016-05-01 00:03:07"
},
{
"AM23SIG0206.AV": "593.9481",
"time": "2016-05-01 00:03:10"
},
{
"AM23SIG0206.AV": "593.8997",
"time": "2016-05-01 00:03:13"
},
{
"AM23SIG0206.AV": "593.8997",
"time": "2016-05-01 00:03:16"
},
{
"AM23SIG0206.AV": "593.8673",
"time": "2016-05-01 00:03:19"
},
{
"AM23SIG0206.AV": "593.835",
"time": "2016-05-01 00:03:22"
},
{
"AM23SIG0206.AV": "593.8027",
"time": "2016-05-01 00:03:25"
},
{
"AM23SIG0206.AV": "593.7704",
"time": "2016-05-01 00:03:28"
},
{
"AM23SIG0206.AV": "593.7704",
"time": "2016-05-01 00:03:31"
},
{
"AM23SIG0206.AV": "593.7193",
"time": "2016-05-01 00:03:34"
},
{
"AM23SIG0206.AV": "593.7193",
"time": "2016-05-01 00:03:37"
},
{
"AM23SIG0206.AV": "593.6735",
"time": "2016-05-01 00:03:40"
},
{
"AM23SIG0206.AV": "593.625",
"time": "2016-05-01 00:03:43"
},
{
"AM23SIG0206.AV": "593.6062",
"time": "2016-05-01 00:03:46"
},
{
"AM23SIG0206.AV": "593.6062",
"time": "2016-05-01 00:03:49"
},
{
"AM23SIG0206.AV": "593.5442",
"time": "2016-05-01 00:03:52"
},
{
"AM23SIG0206.AV": "593.528",
"time": "2016-05-01 00:03:55"
},
{
"AM23SIG0206.AV": "593.4931",
"time": "2016-05-01 00:03:58"
},
{
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"time": "2016-05-01 00:04:01"
},
{
"AM23SIG0206.AV": "593.4446",
"time": "2016-05-01 00:04:04"
},
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"AM23SIG0206.AV": "593.4285",
"time": "2016-05-01 00:04:07"
},
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"time": "2016-05-01 00:04:10"
},
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"time": "2016-05-01 00:04:13"
},
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"AM23SIG0206.AV": "593.3774",
"time": "2016-05-01 00:04:16"
},
{
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"time": "2016-05-01 00:04:19"
},
{
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"time": "2016-05-01 00:04:22"
},
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{
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"AM23SIG0206.AV": "594.0856",
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"time": "2016-05-01 00:06:16"
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{
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"time": "2016-05-01 00:06:19"
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"time": "2016-05-01 00:06:22"
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"time": "2016-05-01 00:06:25"
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"time": "2016-05-01 00:06:31"
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{
"AM23SIG0206.AV": "594.0830000000001",
"time": "2016-05-01 00:06:34"
},
{
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"time": "2016-05-01 00:06:37"
},
{
"AM23SIG0206.AV": "594.0830000000001",
"time": "2016-05-01 00:06:40"
},
{
"AM23SIG0206.AV": "594.0830000000001",
"time": "2016-05-01 00:06:43"
},
{
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"time": "2016-05-01 00:06:46"
},
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"time": "2016-05-01 00:06:49"
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{
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"time": "2016-05-01 00:06:52"
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"time": "2016-05-01 00:07:01"
},
{
"AM23SIG0206.AV": "593.9039",
"time": "2016-05-01 00:07:04"
},
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"AM23SIG0206.AV": "593.8568",
"time": "2016-05-01 00:07:07"
},
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"time": "2016-05-01 00:07:10"
},
{
"AM23SIG0206.AV": "593.8568",
"time": "2016-05-01 00:07:13"
},
{
"AM23SIG0206.AV": "593.8232",
"time": "2016-05-01 00:07:16"
},
{
"AM23SIG0206.AV": "593.776",
"time": "2016-05-01 00:07:19"
},
{
"AM23SIG0206.AV": "593.7747",
"time": "2016-05-01 00:07:22"
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{
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{
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{
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{
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{
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{
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{
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}
]这个是.json文件（python的大数据模型预测产生的数据我拿来用一哈）
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