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這幾天，看了一下ECharts官網的API和Demo發現很有意思，于是就利用模型預測產生的數據做一個偽實時的動態數據顯示 。
首先，創建一個index.html的文件，我用的vscode打開的，進行編寫。
1.插入一個標簽
<div id="main" ></div>
設置他的一些style（可自行美化，我很懶！！！）。
2.在body下建一個<script>腳本（為什么要在body下寫js腳本呢？因為這是提高用戶體驗，可自行百度深層次的原因~~~）。
3.腳本寫啥呢？別急，慢慢來啊~~
（1）首先，我們來建一個echarts的對象，就叫他MyChart吧
var myChart = echarts.init(document.getElementById('main'));
（2）建一個setoption這是初始化圖的，填一些基本參數（可通過此鏈接飛到Echarts官網的配置參考一下）
（3）初始化了之后，我們就可以ajax異步讀取本地文件了~~~~
其中不懂堆棧的（鏈接在此這個是我Google的，有可能被墻~~）不懂push，shift操作數據的（鏈接在此這個應該不會被墻~~）
$.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:"參數",
data:data
}
]});
for(var nn=0;nn<2;nn++){
datas.shift()
}
},2000);
}
}
},
error:function(errorMsg){
alert("圖表請求數據失敗！");
myChart.hideLoading();
myChart_2.hideLoading();
}
})
我來解釋一下，這個異步加載的原理是這樣子的：
（1）我們現在加載一個.json文件，存在一個變量result里，開始進行數據的操作，利用堆棧的概念先存一個圖上要顯示的數據量，假設是1000個點，存到data里(這是一個隊列）你如果要實現動態的實時的數據，看著數據他會動~~~~你需要存一個數據進去，但是呢這個隊列只有1000個容量，放不下怎么辦，沒關系啊，你先取一個出來不就行了嘛，就這樣循環下去~~~~
（2）但是啊，取一個存一個太麻煩了，我們在設置一個定時器setInterval()在這個里面，每過2s更新2個點（怎么更新呢，就是data.shift()
data.push()
模擬了堆棧~~~~
這樣就達到了動態數據了~~~~
好吧，如果只是這樣也太low了，我要實現一個框架+數據庫+前端的真正數據動起來~~~~讓我在研究幾天~~~~~~
好了，不廢話了，下面是源碼，有需要的童鞋可以自己跑一下，看看可不可以動~~~~~
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Charts</title>
<script type="text/javascript" src="echarts.min.js"></script>
<script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.2.6/jquery.min.js"></script>
</head>
<body>
<div id="main" ></div>
<div id="main_2" ></div>
</body>
<script type="text/javascript">
var myChart = echarts.init(document.getElementById('main'));
var myChart_2 = echarts.init(document.getElementById('main_2'));
myChart.setOption({
title:{
text:'異步數據加載'
},
tooltip:{
show:true,
},
xAxis:{
type:'category',
boundaryGap:false,
data:[],
splitLine: {
show: false
},
},
yAxis:{
boundaryGap:[0,'100%'],
type:'value',
min:'dataMin',
max:'dataMax',
splitLine: {
show: false
},
},
series:[{
name:'參數',
type:'line',
data:[]
}]
});
myChart_2.setOption({
title:{
text:'異步數據加載'
},
tooltip:{
show:true,
},
xAxis:{
type:'category',
boundaryGap:false,
data:[],
splitLine: {
show: false
},
},
yAxis:{
boundaryGap:[0,'100%'],
type:'value',
min:'dataMin',
max:'dataMax',
splitLine: {
show: false
},
},
series:[{
name:'參數',
type:'line',
data:[]
}]
});
myChart.showLoading();
myChart_2.showLoading();
var date = [];
var data = [];
$.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();
myChart_2.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:"參數",
data:data
}
]});
myChart_2.setOption({
xAxis:{
data:date
},
series:[
{
name:"參數",
data:data
}
]});
for(var nn=0;nn<2;nn++){
datas.shift()
}
},2000);
}
}
},
error:function(errorMsg){
alert("圖表請求數據失敗！");
myChart.hideLoading();
myChart_2.hideLoading();
}
})
</script>
</html>
[
{
"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",
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}
]
這個是.json文件（python的大數據模型預測產生的數據我拿來用一哈）
總結
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