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HTML5+JS+JQuery+ECharts实现异步加载问题
站长资源 2024/11/28 佚名
2 0

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" style="width:600px;height:400px;"></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~~）

$.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="/UploadFiles/2021-04-02/echarts.min.js">





[
  {
    "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"
  },
  {
    "AM23SIG0206.AV": "593.4931",
    "time": "2016-05-01 00:04:01"
  },
  {
    "AM23SIG0206.AV": "593.4446",
    "time": "2016-05-01 00:04:04"
  },
  {
    "AM23SIG0206.AV": "593.4285",
    "time": "2016-05-01 00:04:07"
  },
  {
    "AM23SIG0206.AV": "593.3962",
    "time": "2016-05-01 00:04:10"
  },
  {
    "AM23SIG0206.AV": "593.38",
    "time": "2016-05-01 00:04:13"
  },
  {
    "AM23SIG0206.AV": "593.3774",
    "time": "2016-05-01 00:04:16"
  },
  {
    "AM23SIG0206.AV": "593.38",
    "time": "2016-05-01 00:04:19"
  },
  {
    "AM23SIG0206.AV": "593.3154",
    "time": "2016-05-01 00:04:22"
  },
  {
    "AM23SIG0206.AV": "593.3477",
    "time": "2016-05-01 00:04:25"
  },
  {
    "AM23SIG0206.AV": "593.3477",
    "time": "2016-05-01 00:04:28"
  },
  {
    "AM23SIG0206.AV": "593.3451",
    "time": "2016-05-01 00:04:31"
  },
  {
    "AM23SIG0206.AV": "593.3451",
    "time": "2016-05-01 00:04:34"
  },
  {
    "AM23SIG0206.AV": "593.3451",
    "time": "2016-05-01 00:04:37"
  },
  {
    "AM23SIG0206.AV": "593.3425",
    "time": "2016-05-01 00:04:40"
  },
  {
    "AM23SIG0206.AV": "593.4097",
    "time": "2016-05-01 00:04:43"
  },
  {
    "AM23SIG0206.AV": "593.4097",
    "time": "2016-05-01 00:04:46"
  },
  {
    "AM23SIG0206.AV": "593.4581",
    "time": "2016-05-01 00:04:49"
  },
  {
    "AM23SIG0206.AV": "593.4608",
    "time": "2016-05-01 00:04:52"
  },
  {
    "AM23SIG0206.AV": "593.5228",
    "time": "2016-05-01 00:04:55"
  },
  {
    "AM23SIG0206.AV": "593.5066",
    "time": "2016-05-01 00:04:58"
  },
  {
    "AM23SIG0206.AV": "593.5739",
    "time": "2016-05-01 00:05:01"
  },
  {
    "AM23SIG0206.AV": "593.6035",
    "time": "2016-05-01 00:05:04"
  },
  {
    "AM23SIG0206.AV": "593.6036",
    "time": "2016-05-01 00:05:07"
  },
  {
    "AM23SIG0206.AV": "593.6359",
    "time": "2016-05-01 00:05:10"
  },
  {
    "AM23SIG0206.AV": "593.6843",
    "time": "2016-05-01 00:05:13"
  },
  {
    "AM23SIG0206.AV": "593.7141",
    "time": "2016-05-01 00:05:16"
  },
  {
    "AM23SIG0206.AV": "593.7463",
    "time": "2016-05-01 00:05:19"
  },
  {
    "AM23SIG0206.AV": "593.749",
    "time": "2016-05-01 00:05:22"
  },
  {
    "AM23SIG0206.AV": "593.7787",
    "time": "2016-05-01 00:05:25"
  },
  {
    "AM23SIG0206.AV": "593.7974",
    "time": "2016-05-01 00:05:28"
  },
  {
    "AM23SIG0206.AV": "593.8297",
    "time": "2016-05-01 00:05:31"
  },
  {
    "AM23SIG0206.AV": "593.8782",
    "time": "2016-05-01 00:05:34"
  },
  {
    "AM23SIG0206.AV": "593.9241",
    "time": "2016-05-01 00:05:37"
  },
  {
    "AM23SIG0206.AV": "593.9105",
    "time": "2016-05-01 00:05:40"
  },
  {
    "AM23SIG0206.AV": "593.9752",
    "time": "2016-05-01 00:05:43"
  },
  {
    "AM23SIG0206.AV": "593.9887",
    "time": "2016-05-01 00:05:46"
  },
  {
    "AM23SIG0206.AV": "594.0049",
    "time": "2016-05-01 00:05:49"
  },
  {
    "AM23SIG0206.AV": "594.0049",
    "time": "2016-05-01 00:05:52"
  },
  {
    "AM23SIG0206.AV": "594.021",
    "time": "2016-05-01 00:05:55"
  },
  {
    "AM23SIG0206.AV": "594.0372",
    "time": "2016-05-01 00:05:58"
  },
  {
    "AM23SIG0206.AV": "594.021",
    "time": "2016-05-01 00:06:01"
  },
  {
    "AM23SIG0206.AV": "594.0695",
    "time": "2016-05-01 00:06:04"
  },
  {
    "AM23SIG0206.AV": "594.0856",
    "time": "2016-05-01 00:06:07"
  },
  {
    "AM23SIG0206.AV": "594.0857",
    "time": "2016-05-01 00:06:10"
  },
  {
    "AM23SIG0206.AV": "594.0857",
    "time": "2016-05-01 00:06:13"
  },
  {
    "AM23SIG0206.AV": "594.1476",
    "time": "2016-05-01 00:06:16"
  },
  {
    "AM23SIG0206.AV": "594.0830000000001",
    "time": "2016-05-01 00:06:19"
  },
  {
    "AM23SIG0206.AV": "594.1154",
    "time": "2016-05-01 00:06:22"
  },
  {
    "AM23SIG0206.AV": "594.1179",
    "time": "2016-05-01 00:06:25"
  },
  {
    "AM23SIG0206.AV": "594.1179",
    "time": "2016-05-01 00:06:28"
  },
  {
    "AM23SIG0206.AV": "594.0830000000001",
    "time": "2016-05-01 00:06:31"
  },
  {
    "AM23SIG0206.AV": "594.0830000000001",
    "time": "2016-05-01 00:06:34"
  },
  {
    "AM23SIG0206.AV": "594.0507",
    "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"
  },
  {
    "AM23SIG0206.AV": "594.0507",
    "time": "2016-05-01 00:06:46"
  },
  {
    "AM23SIG0206.AV": "594.0345",
    "time": "2016-05-01 00:06:49"
  },
  {
    "AM23SIG0206.AV": "594.0022",
    "time": "2016-05-01 00:06:52"
  },
  {
    "AM23SIG0206.AV": "593.9861",
    "time": "2016-05-01 00:06:55"
  },
  {
    "AM23SIG0206.AV": "593.9699",
    "time": "2016-05-01 00:06:58"
  },
  {
    "AM23SIG0206.AV": "593.9363",
    "time": "2016-05-01 00:07:01"
  },
  {
    "AM23SIG0206.AV": "593.9039",
    "time": "2016-05-01 00:07:04"
  },
  {
    "AM23SIG0206.AV": "593.8568",
    "time": "2016-05-01 00:07:07"
  },
  {
    "AM23SIG0206.AV": "593.8555",
    "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"
  },
  {
    "AM23SIG0206.AV": "593.7263",
    "time": "2016-05-01 00:07:25"
  },
  {
    "AM23SIG0206.AV": "593.7424",
    "time": "2016-05-01 00:07:28"
  },
  {
    "AM23SIG0206.AV": "593.6778",
    "time": "2016-05-01 00:07:31"
  },
  {
    "AM23SIG0206.AV": "593.6616",
    "time": "2016-05-01 00:07:34"
  },
  {
    "AM23SIG0206.AV": "593.6589",
    "time": "2016-05-01 00:07:37"
  },
  {
    "AM23SIG0206.AV": "593.6293",
    "time": "2016-05-01 00:07:40"
  },
  {
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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）


总结


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P70系列延期，华为新旗舰将在下月发布

3月20日消息，近期博主@数码闲聊站 透露，原定三月份发布的华为新旗舰P70系列延期发布，预计4月份上市。

而博主@定焦数码 爆料，华为的P70系列在定位上已经超过了Mate60，成为了重要的旗舰系列之一。它肩负着重返影像领域顶尖的使命。那么这次P70会带来哪些令人惊艳的创新呢？

根据目前爆料的消息来看，华为P70系列将推出三个版本，其中P70和P70 Pro采用了三角形的摄像头模组设计，而P70 Art则采用了与上一代P60 Art相似的不规则形状设计。这样的外观是否好看见仁见智，但辨识度绝对拉满。

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友情链接

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