HTML5+JS+JQuery+ECharts实现异步加载问题

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。
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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
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    "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"
  },
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    "AM23SIG0206.AV": "593.6699",
    "time": "2016-05-01 00:08:58"
  },
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    "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"
  },
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    "AM23SIG0206.AV": "593.6564",
    "time": "2016-05-01 00:09:07"
  },
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    "time": "2016-05-01 00:09:10"
  },
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    "time": "2016-05-01 00:09:13"
  },
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    "AM23SIG0206.AV": "593.5568",
    "time": "2016-05-01 00:09:16"
  },
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    "time": "2016-05-01 00:09:19"
  },
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    "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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    "AM23SIG0206.AV": "593.4786",
    "time": "2016-05-01 00:09:28"
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    "AM23SIG0206.AV": "593.4463",
    "time": "2016-05-01 00:09:31"
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    "AM23SIG0206.AV": "593.4114",
    "time": "2016-05-01 00:09:34"
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    "AM23SIG0206.AV": "593.3953",
    "time": "2016-05-01 00:09:37"
  },
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    "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"
  },
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    "AM23SIG0206.AV": "593.2499",
    "time": "2016-05-01 00:09:55"
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    "AM23SIG0206.AV": "593.3145",
    "time": "2016-05-01 00:09:58"
  },
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    "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"
  },
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    "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"
  },
  {
    "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）
总结
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