[聚合文章] H5+JS+JQuery+ECharts实现异步加载
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 。
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
<div id="main" ></div>
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~~~）。
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~~）
1 $.ajax({ 2 type:"get", 3 // async:true, 4 url:"test_data.json", 5 data:{}, 6 dataType:"json", 7 success:function(result){ 8 var datas=result 9 if(result){10 11 var m=0;12 for(var i=0;i<result.length;i++){ 13 if(m<1000){14 datas.shift(); 15 date.push(result[i]["time"]);16 data.push(result[i]["AM23SIG0206.AV"]);17 m+=1;18 }19 else{ 20 break;21 22 }23 myChart.hideLoading();24 25 setInterval(function(){26 for(var n=0;n<2;n++){27 28 date.shift();29 date.push(datas[n]["time"]);30 data.shift();31 data.push(datas[n]["AM23SIG0206.AV"]);32 } 33 myChart.setOption({34 xAxis:{35 data:date36 },37 series:[38 {39 name:"参数",40 data:data41 }42 ]});43 44 for(var nn=0;nn<2;nn++){45 datas.shift()46 }47 48 },2000);49 50 51 52 }53 }54 },55 error:function(errorMsg){56 alert("图表请求数据失败！");57 myChart.hideLoading();58 myChart_2.hideLoading();59 }60 })
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~~~~~
1 <!DOCTYPE html> 2 <html lang="en"> 3 <head> 4 <meta charset="UTF-8"> 5 <title>Charts</title> 6 <script type="text/javascript" src="echarts.min.js"></script> 7 <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.2.6/jquery.min.js"></script> 8 </head> 9 <body> 10 <div id="main" style="width:600px;height:400px;"></div> 11 <div id="main_2" style="width:600px;height:400px;"></div> 12 </body> 13 <script type="text/javascript"> 14 var myChart = echarts.init(document.getElementById('main')); 15 var myChart_2 = echarts.init(document.getElementById('main_2')); 16 myChart.setOption({ 17 title:{ 18 text:'异步数据加载' 19 }, 20 tooltip:{ 21 show:true, 22 23 }, 24 25 xAxis:{ 26 type:'category', 27 boundaryGap:false, 28 data:[], 29 splitLine: { 30 show: false 31 }, 32 }, 33 yAxis:{ 34 boundaryGap:[0,'100%'], 35 type:'value', 36 min:'dataMin', 37 max:'dataMax', 38 splitLine: { 39 show: false 40 }, 41 42 }, 43 series:[{ 44 name:'参数', 45 type:'line', 46 data:[] 47 }] 48 }); 49 myChart_2.setOption({ 50 title:{ 51 text:'异步数据加载' 52 }, 53 tooltip:{ 54 show:true, 55 56 }, 57 58 xAxis:{ 59 type:'category', 60 boundaryGap:false, 61 data:[], 62 splitLine: { 63 show: false 64 }, 65 }, 66 yAxis:{ 67 boundaryGap:[0,'100%'], 68 type:'value', 69 min:'dataMin', 70 max:'dataMax', 71 splitLine: { 72 show: false 73 }, 74 75 }, 76 series:[{ 77 name:'参数', 78 type:'line', 79 data:[] 80 }] 81 }); 82 myChart.showLoading(); 83 myChart_2.showLoading(); 84 var date = []; 85 var data = []; 86 $.ajax({ 87 type:"get", 88 // async:true, 89 url:"test_data.json", 90 data:{}, 91 dataType:"json", 92 success:function(result){ 93 var datas=result 94 if(result){ 95 96 var m=0; 97 for(var i=0;i<result.length;i++){ 98 if(m<1000){ 99 datas.shift(); 100 date.push(result[i]["time"]);101 data.push(result[i]["AM23SIG0206.AV"]);102 m+=1;103 }104 else{ 105 break;106 107 }108 myChart.hideLoading();109 myChart_2.hideLoading();110 setInterval(function(){111 for(var n=0;n<2;n++){112 113 date.shift();114 date.push(datas[n]["time"]);115 data.shift();116 data.push(datas[n]["AM23SIG0206.AV"]);117 } 118 myChart.setOption({119 xAxis:{120 data:date121 },122 series:[123 {124 name:"参数",125 data:data126 }127 ]});128 myChart_2.setOption({129 xAxis:{130 data:date131 },132 series:[133 {134 name:"参数",135 data:data136 }137 ]});138 for(var nn=0;nn<2;nn++){139 datas.shift()140 }141 142 },2000);143 144 145 146 }147 }148 },149 error:function(errorMsg){150 alert("图表请求数据失败！");151 myChart.hideLoading();152 myChart_2.hideLoading();153 }154 })155 </script>156 </html>
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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）
如果我写的东西对你有帮助，请点个赞呗，关注走一个呗~~~~
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