HTML5、JS、JQuery、ECharts异步加载

小云云

发布时间：2017-12-18 09:11:11

2105人浏览过

来源于php中文网

原创

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

设置他的一些style（可自行美化，我很懒！！！）。

2.在body下建一个

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~~~~

							
								
								
									jquery图片异步加载进度表条
									jquery图片异步加载进度表条
								
								下载 
							
						
（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~~~~~



  
  Charts
  
  


  
  


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    "AM23SIG0206.AV": "593.5782",
    "time": "2016-05-01 00:08:07"
  },
  {
    "AM23SIG0206.AV": "593.5298",
    "time": "2016-05-01 00:08:10"
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    "AM23SIG0206.AV": "593.5944",
    "time": "2016-05-01 00:08:13"
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    "AM23SIG0206.AV": "593.5621",
    "time": "2016-05-01 00:08:16"
  },
  {
    "AM23SIG0206.AV": "593.5621",
    "time": "2016-05-01 00:08:19"
  },
  {
    "AM23SIG0206.AV": "593.5944",
    "time": "2016-05-01 00:08:22"
  },
  {
    "AM23SIG0206.AV": "593.5944",
    "time": "2016-05-01 00:08:25"
  },
  {
    "AM23SIG0206.AV": "593.5917",
    "time": "2016-05-01 00:08:28"
  },
  {
    "AM23SIG0206.AV": "593.659",
    "time": "2016-05-01 00:08:31"
  },
  {
    "AM23SIG0206.AV": "593.6887",
    "time": "2016-05-01 00:08:34"
  },
  {
    "AM23SIG0206.AV": "593.6564",
    "time": "2016-05-01 00:08:37"
  },
  {
    "AM23SIG0206.AV": "593.6402",
    "time": "2016-05-01 00:08:40"
  },
  {
    "AM23SIG0206.AV": "593.6752",
    "time": "2016-05-01 00:08:43"
  },
  {
    "AM23SIG0206.AV": "593.6725",
    "time": "2016-05-01 00:08:46"
  },
  {
    "AM23SIG0206.AV": "593.6725",
    "time": "2016-05-01 00:08:49"
  },
  {
    "AM23SIG0206.AV": "593.6725",
    "time": "2016-05-01 00:08:52"
  },
  {
    "AM23SIG0206.AV": "593.7022",
    "time": "2016-05-01 00:08:55"
  },
  {
    "AM23SIG0206.AV": "593.6699",
    "time": "2016-05-01 00:08:58"
  },
  {
    "AM23SIG0206.AV": "593.6402",
    "time": "2016-05-01 00:09:01"
  },
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    "AM23SIG0206.AV": "593.6699",
    "time": "2016-05-01 00:09:04"
  },
  {
    "AM23SIG0206.AV": "593.6564",
    "time": "2016-05-01 00:09:07"
  },
  {
    "AM23SIG0206.AV": "593.6537",
    "time": "2016-05-01 00:09:10"
  },
  {
    "AM23SIG0206.AV": "593.5917",
    "time": "2016-05-01 00:09:13"
  },
  {
    "AM23SIG0206.AV": "593.5568",
    "time": "2016-05-01 00:09:16"
  },
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    "AM23SIG0206.AV": "593.573",
    "time": "2016-05-01 00:09:19"
  },
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    "AM23SIG0206.AV": "593.5083",
    "time": "2016-05-01 00:09:22"
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    "AM23SIG0206.AV": "593.4922",
    "time": "2016-05-01 00:09:25"
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    "time": "2016-05-01 00:09:31"
  },
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    "AM23SIG0206.AV": "593.4114",
    "time": "2016-05-01 00:09:34"
  },
  {
    "AM23SIG0206.AV": "593.3953",
    "time": "2016-05-01 00:09:37"
  },
  {
    "AM23SIG0206.AV": "593.3791",
    "time": "2016-05-01 00:09:40"
  },
  {
    "AM23SIG0206.AV": "593.3306",
    "time": "2016-05-01 00:09:43"
  },
  {
    "AM23SIG0206.AV": "593.3009",
    "time": "2016-05-01 00:09:46"
  },
  {
    "AM23SIG0206.AV": "593.2983",
    "time": "2016-05-01 00:09:49"
  },
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    "AM23SIG0206.AV": "593.266",
    "time": "2016-05-01 00:09:52"
  },
  {
    "AM23SIG0206.AV": "593.2499",
    "time": "2016-05-01 00:09:55"
  },
  {
    "AM23SIG0206.AV": "593.3145",
    "time": "2016-05-01 00:09:58"
  },
  {
    "AM23SIG0206.AV": "593.2821",
    "time": "2016-05-01 00:10:01"
  },
  {
    "AM23SIG0206.AV": "593.266",
    "time": "2016-05-01 00:10:04"
  },
  {
    "AM23SIG0206.AV": "593.2485",
    "time": "2016-05-01 00:10:07"
  },
  {
    "AM23SIG0206.AV": "593.2809",
    "time": "2016-05-01 00:10:10"
  },
  {
    "AM23SIG0206.AV": "593.2485",
    "time": "2016-05-01 00:10:13"
  },
  {
    "AM23SIG0206.AV": "593.2809",
    "time": "2016-05-01 00:10:16"
  },
  {
    "AM23SIG0206.AV": "593.2809",
    "time": "2016-05-01 00:10:19"
  },
  {
    "AM23SIG0206.AV": "593.2809",
    "time": "2016-05-01 00:10:22"
  },
  {
    "AM23SIG0206.AV": "593.297",
    "time": "2016-05-01 00:10:25"
  },
  {
    "AM23SIG0206.AV": "593.2646",
    "time": "2016-05-01 00:10:28"
  },
  {
    "AM23SIG0206.AV": "593.297",
    "time": "2016-05-01 00:10:31"
  },
  {
    "AM23SIG0206.AV": "593.297",
    "time": "2016-05-01 00:10:34"
  },
  {
    "AM23SIG0206.AV": "593.3293",
    "time": "2016-05-01 00:10:37"
  },
  {
    "AM23SIG0206.AV": "593.3131",
    "time": "2016-05-01 00:10:40"
  },
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    "AM23SIG0206.AV": "593.3293",
    "time": "2016-05-01 00:10:43"
  },
  {
    "AM23SIG0206.AV": "593.3293",
    "time": "2016-05-01 00:10:46"
  }
]
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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