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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": "593.3451", "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": 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"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" }, { "AM23SIG0206.AV": "593.5944", "time": "2016-05-01 00:07:43" }, { "AM23SIG0206.AV": "593.6267", "time": "2016-05-01 00:07:46" }, { "AM23SIG0206.AV": "593.5944", "time": "2016-05-01 00:07:49" }, { "AM23SIG0206.AV": "593.5944", "time": "2016-05-01 00:07:52" }, { "AM23SIG0206.AV": "593.5944", "time": "2016-05-01 00:07:55" }, { "AM23SIG0206.AV": "593.5782", "time": "2016-05-01 00:07:58" }, { "AM23SIG0206.AV": "593.5647", "time": "2016-05-01 00:08:01" }, { "AM23SIG0206.AV": "593.562", "time": "2016-05-01 00:08:04" }, { "AM23SIG0206.AV": "593.5782", "time": "2016-05-01 00:08:07" }, { "AM23SIG0206.AV": "593.5298", "time": "2016-05-01 00:08:10" }, { "AM23SIG0206.AV": "593.5944", "time": "2016-05-01 00:08:13" }, { "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" }, { "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" }, { "AM23SIG0206.AV": "593.573", "time": "2016-05-01 00:09:19" }, { "AM23SIG0206.AV": "593.5083", "time": "2016-05-01 00:09:22" }, { "AM23SIG0206.AV": "593.4922", "time": "2016-05-01 00:09:25" }, { "AM23SIG0206.AV": "593.4786", "time": "2016-05-01 00:09:28" }, { "AM23SIG0206.AV": "593.4463", "time": "2016-05-01 00:09:31" }, { "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" }, { "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" }, { "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
以上所述是小编给大家介绍的HTML5+JS+JQuery+ECharts实现异步加载问题,希望对大家有所帮助,如果大家有任何问题欢迎给我留言,小编会及时回复大家的!
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