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~~）
1 $.ajax({
2 type:"get",
3 // async:true,
4 url:"test_data.json",
5 data:{},
6 dataType:"json",
7 success:function(result){
8 var datas=result
9 if(result){
10
11 var m=0;
12 for(var i=0;i<result.length;i++){
13 if(m<1000){
14 datas.shift();
15 date.push(result[i]["time"]);
16 data.push(result[i]["AM23SIG0206.AV"]);
17 m+=1;
18 }
19 else{
20 break;
21
22 }
23 myChart.hideLoading();
24
25 setInterval(function(){
26 for(var n=0;n<2;n++){
27
28 date.shift();
29 date.push(datas[n]["time"]);
30 data.shift();
31 data.push(datas[n]["AM23SIG0206.AV"]);
32 }
33 myChart.setOption({
34 xAxis:{
35 data:date
36 },
37 series:[
38 {
39 name:"参数",
40 data:data
41 }
42 ]});
43
44 for(var nn=0;nn<2;nn++){
45 datas.shift()
46 }
47
48 },2000);
49
50
51
52 }
53 }
54 },
55 error:function(errorMsg){
56 alert("图表请求数据失败！");
57 myChart.hideLoading();
58 myChart_2.hideLoading();
59 }
60 })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~~~~~
1 <!DOCTYPE html>
2 <html lang="en">
3 <head>
4 <meta charset="UTF-8">
5 <title>Charts</title>
6 <script type="text/javascript" src="echarts.min.js"></script>
7 <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.2.6/jquery.min.js"></script>
8 </head>
9 <body>
10 <div id="main" style="width:600px;height:400px;"></div>
11 <div id="main_2" style="width:600px;height:400px;"></div>
12 </body>
13 <script type="text/javascript">
14 var myChart = echarts.init(document.getElementById('main'));
15 var myChart_2 = echarts.init(document.getElementById('main_2'));
16 myChart.setOption({
17 title:{
18 text:'异步数据加载'
19 },
20 tooltip:{
21 show:true,
22
23 },
24
25 xAxis:{
26 type:'category',
27 boundaryGap:false,
28 data:[],
29 splitLine: {
30 show: false
31 },
32 },
33 yAxis:{
34 boundaryGap:[0,'100%'],
35 type:'value',
36 min:'dataMin',
37 max:'dataMax',
38 splitLine: {
39 show: false
40 },
41
42 },
43 series:[{
44 name:'参数',
45 type:'line',
46 data:[]
47 }]
48 });
49 myChart_2.setOption({
50 title:{
51 text:'异步数据加载'
52 },
53 tooltip:{
54 show:true,
55
56 },
57
58 xAxis:{
59 type:'category',
60 boundaryGap:false,
61 data:[],
62 splitLine: {
63 show: false
64 },
65 },
66 yAxis:{
67 boundaryGap:[0,'100%'],
68 type:'value',
69 min:'dataMin',
70 max:'dataMax',
71 splitLine: {
72 show: false
73 },
74
75 },
76 series:[{
77 name:'参数',
78 type:'line',
79 data:[]
80 }]
81 });
82 myChart.showLoading();
83 myChart_2.showLoading();
84 var date = [];
85 var data = [];
86 $.ajax({
87 type:"get",
88 // async:true,
89 url:"test_data.json",
90 data:{},
91 dataType:"json",
92 success:function(result){
93 var datas=result
94 if(result){
95
96 var m=0;
97 for(var i=0;i<result.length;i++){
98 if(m<1000){
99 datas.shift();
100 date.push(result[i]["time"]);
101 data.push(result[i]["AM23SIG0206.AV"]);
102 m+=1;
103 }
104 else{
105 break;
106
107 }
108 myChart.hideLoading();
109 myChart_2.hideLoading();
110 setInterval(function(){
111 for(var n=0;n<2;n++){
112
113 date.shift();
114 date.push(datas[n]["time"]);
115 data.shift();
116 data.push(datas[n]["AM23SIG0206.AV"]);
117 }
118 myChart.setOption({
119 xAxis:{
120 data:date
121 },
122 series:[
123 {
124 name:"参数",
125 data:data
126 }
127 ]});
128 myChart_2.setOption({
129 xAxis:{
130 data:date
131 },
132 series:[
133 {
134 name:"参数",
135 data:data
136 }
137 ]});
138 for(var nn=0;nn<2;nn++){
139 datas.shift()
140 }
141
142 },2000);
143
144
145
146 }
147 }
148 },
149 error:function(errorMsg){
150 alert("图表请求数据失败！");
151 myChart.hideLoading();
152 myChart_2.hideLoading();
153 }
154 })
155 </script>
156 </html>
1 [
2 {
3 "AM23SIG0206.AV": "594.4071",
4 "time": "2016-05-01 00:00:01"
5 },
6 {
7 "AM23SIG0206.AV": "594.4207",
8 "time": "2016-05-01 00:00:04"
9 },
10 {
11 "AM23SIG0206.AV": "594.3883",
12 "time": "2016-05-01 00:00:07"
13 },
14 {
15 "AM23SIG0206.AV": "594.3586",
16 "time": "2016-05-01 00:00:10"
17 },
18 {
19 "AM23SIG0206.AV": "594.3883",
20 "time": "2016-05-01 00:00:13"
21 },
22 {
23 "AM23SIG0206.AV": "594.3398",
24 "time": "2016-05-01 00:00:16"
25 },
26 {
27 "AM23SIG0206.AV": "594.3398",
28 "time": "2016-05-01 00:00:19"
29 },
30 {
31 "AM23SIG0206.AV": "594.3075",
32 "time": "2016-05-01 00:00:22"
33 },
34 {
35 "AM23SIG0206.AV": "594.3076",
36 "time": "2016-05-01 00:00:25"
37 },
38 {
39 "AM23SIG0206.AV": "594.2753",
40 "time": "2016-05-01 00:00:28"
41 },
42 {
43 "AM23SIG0206.AV": "594.2753",
44 "time": "2016-05-01 00:00:31"
45 },
46 {
47 "AM23SIG0206.AV": "594.2429",
48 "time": "2016-05-01 00:00:34"
49 },
50 {
51 "AM23SIG0206.AV": "594.2753",
52 "time": "2016-05-01 00:00:37"
53 },
54 {
55 "AM23SIG0206.AV": "594.2429",
56 "time": "2016-05-01 00:00:40"
57 },
58 {
59 "AM23SIG0206.AV": "594.2565",
60 "time": "2016-05-01 00:00:43"
61 },
62 {
63 "AM23SIG0206.AV": "594.3075",
64 "time": "2016-05-01 00:00:46"
65 },
66 {
67 "AM23SIG0206.AV": "594.2726",
68 "time": "2016-05-01 00:00:49"
69 },
70 {
71 "AM23SIG0206.AV": "594.2752",
72 "time": "2016-05-01 00:00:52"
73 },
74 {
75 "AM23SIG0206.AV": "594.2914",
76 "time": "2016-05-01 00:00:55"
77 },
78 {
79 "AM23SIG0206.AV": "594.2726",
80 "time": "2016-05-01 00:00:58"
81 },
82 {
83 "AM23SIG0206.AV": "594.3075",
84 "time": "2016-05-01 00:01:01"
85 },
86 {
87 "AM23SIG0206.AV": "594.3075",
88 "time": "2016-05-01 00:01:04"
89 },
90 {
91 "AM23SIG0206.AV": "594.2752",
92 "time": "2016-05-01 00:01:07"
93 },
94 {
95 "AM23SIG0206.AV": "594.259",
96 "time": "2016-05-01 00:01:10"
97 },
98 {
99 "AM23SIG0206.AV": "594.2752",
100 "time": "2016-05-01 00:01:13"
101 },
102 {
103 "AM23SIG0206.AV": "594.2403",
104 "time": "2016-05-01 00:01:16"
105 },
106 {
107 "AM23SIG0206.AV": "594.2402",
108 "time": "2016-05-01 00:01:19"
109 },
110 {
111 "AM23SIG0206.AV": "594.1918",
112 "time": "2016-05-01 00:01:22"
113 },
114 {
115 "AM23SIG0206.AV": "594.2241",
116 "time": "2016-05-01 00:01:25"
117 },
118 {
119 "AM23SIG0206.AV": "594.1918",
120 "time": "2016-05-01 00:01:28"
121 },
122 {
123 "AM23SIG0206.AV": "594.1595",
124 "time": "2016-05-01 00:01:31"
125 },
126 {
127 "AM23SIG0206.AV": "594.0975",
128 "time": "2016-05-01 00:01:34"
129 },
130 {
131 "AM23SIG0206.AV": "594.1272",
132 "time": "2016-05-01 00:01:37"
133 },
134 {
135 "AM23SIG0206.AV": "594.111",
136 "time": "2016-05-01 00:01:40"
137 },
138 {
139 "AM23SIG0206.AV": "594.1136",
140 "time": "2016-05-01 00:01:43"
141 },
142 {
143 "AM23SIG0206.AV": "594.0787",
144 "time": "2016-05-01 00:01:46"
145 },
146 {
147 "AM23SIG0206.AV": "594.0813",
148 "time": "2016-05-01 00:01:49"
149 },
150 {
151 "AM23SIG0206.AV": "594.0464",
152 "time": "2016-05-01 00:01:52"
153 },
154 {
155 "AM23SIG0206.AV": "594.014",
156 "time": "2016-05-01 00:01:55"
157 },
158 {
159 "AM23SIG0206.AV": "594.014",
160 "time": "2016-05-01 00:01:58"
161 },
162 {
163 "AM23SIG0206.AV": "594.0328",
164 "time": "2016-05-01 00:02:01"
165 },
166 {
167 "AM23SIG0206.AV": "594.049",
168 "time": "2016-05-01 00:02:04"
169 },
170 {
171 "AM23SIG0206.AV": "594.0464",
172 "time": "2016-05-01 00:02:07"
173 },
174 {
175 "AM23SIG0206.AV": "594.0464",
176 "time": "2016-05-01 00:02:10"
177 },
178 {
179 "AM23SIG0206.AV": "594.0464",
180 "time": "2016-05-01 00:02:13"
181 },
182 {
183 "AM23SIG0206.AV": "594.0787",
184 "time": "2016-05-01 00:02:16"
185 },
186 {
187 "AM23SIG0206.AV": "594.049",
188 "time": "2016-05-01 00:02:19"
189 },
190 {
191 "AM23SIG0206.AV": "594.0625",
192 "time": "2016-05-01 00:02:22"
193 },
194 {
195 "AM23SIG0206.AV": "594.0948",
196 "time": "2016-05-01 00:02:25"
197 },
198 {
199 "AM23SIG0206.AV": "594.0774",
200 "time": "2016-05-01 00:02:28"
201 },
202 {
203 "AM23SIG0206.AV": "594.0464",
204 "time": "2016-05-01 00:02:31"
205 },
206 {
207 "AM23SIG0206.AV": "594.0948",
208 "time": "2016-05-01 00:02:34"
209 },
210 {
211 "AM23SIG0206.AV": "594.0625",
212 "time": "2016-05-01 00:02:37"
213 },
214 {
215 "AM23SIG0206.AV": "594.0625",
216 "time": "2016-05-01 00:02:40"
217 },
218 {
219 "AM23SIG0206.AV": "594.0625",
220 "time": "2016-05-01 00:02:43"
221 },
222 {
223 "AM23SIG0206.AV": "594.0787",
224 "time": "2016-05-01 00:02:46"
225 },
226 {
227 "AM23SIG0206.AV": "594.045",
228 "time": "2016-05-01 00:02:49"
229 },
230 {
231 "AM23SIG0206.AV": "594.0127",
232 "time": "2016-05-01 00:02:52"
233 },
234 {
235 "AM23SIG0206.AV": "594.0464",
236 "time": "2016-05-01 00:02:55"
237 },
238 {
239 "AM23SIG0206.AV": "594.014",
240 "time": "2016-05-01 00:02:58"
241 },
242 {
243 "AM23SIG0206.AV": "594.0464",
244 "time": "2016-05-01 00:03:01"
245 },
246 {
247 "AM23SIG0206.AV": "593.9818",
248 "time": "2016-05-01 00:03:04"
249 },
250 {
251 "AM23SIG0206.AV": "593.9495",
252 "time": "2016-05-01 00:03:07"
253 },
254 {
255 "AM23SIG0206.AV": "593.9481",
256 "time": "2016-05-01 00:03:10"
257 },
258 {
259 "AM23SIG0206.AV": "593.8997",
260 "time": "2016-05-01 00:03:13"
261 },
262 {
263 "AM23SIG0206.AV": "593.8997",
264 "time": "2016-05-01 00:03:16"
265 },
266 {
267 "AM23SIG0206.AV": "593.8673",
268 "time": "2016-05-01 00:03:19"
269 },
270 {
271 "AM23SIG0206.AV": "593.835",
272 "time": "2016-05-01 00:03:22"
273 },
274 {
275 "AM23SIG0206.AV": "593.8027",
276 "time": "2016-05-01 00:03:25"
277 },
278 {
279 "AM23SIG0206.AV": "593.7704",
280 "time": "2016-05-01 00:03:28"
281 },
282 {
283 "AM23SIG0206.AV": "593.7704",
284 "time": "2016-05-01 00:03:31"
285 },
286 {
287 "AM23SIG0206.AV": "593.7193",
288 "time": "2016-05-01 00:03:34"
289 },
290 {
291 "AM23SIG0206.AV": "593.7193",
292 "time": "2016-05-01 00:03:37"
293 },
294 {
295 "AM23SIG0206.AV": "593.6735",
296 "time": "2016-05-01 00:03:40"
297 },
298 {
299 "AM23SIG0206.AV": "593.625",
300 "time": "2016-05-01 00:03:43"
301 },
302 {
303 "AM23SIG0206.AV": "593.6062",
304 "time": "2016-05-01 00:03:46"
305 },
306 {
307 "AM23SIG0206.AV": "593.6062",
308 "time": "2016-05-01 00:03:49"
309 },
310 {
311 "AM23SIG0206.AV": "593.5442",
312 "time": "2016-05-01 00:03:52"
313 },
314 {
315 "AM23SIG0206.AV": "593.528",
316 "time": "2016-05-01 00:03:55"
317 },
318 {
319 "AM23SIG0206.AV": "593.4931",
320 "time": "2016-05-01 00:03:58"
321 },
322 {
323 "AM23SIG0206.AV": "593.4931",
324 "time": "2016-05-01 00:04:01"
325 },
326 {
327 "AM23SIG0206.AV": "593.4446",
328 "time": "2016-05-01 00:04:04"
329 },
330 {
331 "AM23SIG0206.AV": "593.4285",
332 "time": "2016-05-01 00:04:07"
333 },
334 {
335 "AM23SIG0206.AV": "593.3962",
336 "time": "2016-05-01 00:04:10"
337 },
338 {
339 "AM23SIG0206.AV": "593.38",
340 "time": "2016-05-01 00:04:13"
341 },
342 {
343 "AM23SIG0206.AV": "593.3774",
344 "time": "2016-05-01 00:04:16"
345 },
346 {
347 "AM23SIG0206.AV": "593.38",
348 "time": "2016-05-01 00:04:19"
349 },
350 {
351 "AM23SIG0206.AV": "593.3154",
352 "time": "2016-05-01 00:04:22"
353 },
354 {
355 "AM23SIG0206.AV": "593.3477",
356 "time": "2016-05-01 00:04:25"
357 },
358 {
359 "AM23SIG0206.AV": "593.3477",
360 "time": "2016-05-01 00:04:28"
361 },
362 {
363 "AM23SIG0206.AV": "593.3451",
364 "time": "2016-05-01 00:04:31"
365 },
366 {
367 "AM23SIG0206.AV": "593.3451",
368 "time": "2016-05-01 00:04:34"
369 },
370 {
371 "AM23SIG0206.AV": "593.3451",
372 "time": "2016-05-01 00:04:37"
373 },
374 {
375 "AM23SIG0206.AV": "593.3425",
376 "time": "2016-05-01 00:04:40"
377 },
378 {
379 "AM23SIG0206.AV": "593.4097",
380 "time": "2016-05-01 00:04:43"
381 },
382 {
383 "AM23SIG0206.AV": "593.4097",
384 "time": "2016-05-01 00:04:46"
385 },
386 {
387 "AM23SIG0206.AV": "593.4581",
388 "time": "2016-05-01 00:04:49"
389 },
390 {
391 "AM23SIG0206.AV": "593.4608",
392 "time": "2016-05-01 00:04:52"
393 },
394 {
395 "AM23SIG0206.AV": "593.5228",
396 "time": "2016-05-01 00:04:55"
397 },
398 {
399 "AM23SIG0206.AV": "593.5066",
400 "time": "2016-05-01 00:04:58"
401 },
402 {
403 "AM23SIG0206.AV": "593.5739",
404 "time": "2016-05-01 00:05:01"
405 },
406 {
407 "AM23SIG0206.AV": "593.6035",
408 "time": "2016-05-01 00:05:04"
409 },
410 {
411 "AM23SIG0206.AV": "593.6036",
412 "time": "2016-05-01 00:05:07"
413 },
414 {
415 "AM23SIG0206.AV": "593.6359",
416 "time": "2016-05-01 00:05:10"
417 },
418 {
419 "AM23SIG0206.AV": "593.6843",
420 "time": "2016-05-01 00:05:13"
421 },
422 {
423 "AM23SIG0206.AV": "593.7141",
424 "time": "2016-05-01 00:05:16"
425 },
426 {
427 "AM23SIG0206.AV": "593.7463",
428 "time": "2016-05-01 00:05:19"
429 },
430 {
431 "AM23SIG0206.AV": "593.749",
432 "time": "2016-05-01 00:05:22"
433 },
434 {
435 "AM23SIG0206.AV": "593.7787",
436 "time": "2016-05-01 00:05:25"
437 },
438 {
439 "AM23SIG0206.AV": "593.7974",
440 "time": "2016-05-01 00:05:28"
441 },
442 {
443 "AM23SIG0206.AV": "593.8297",
444 "time": "2016-05-01 00:05:31"
445 },
446 {
447 "AM23SIG0206.AV": "593.8782",
448 "time": "2016-05-01 00:05:34"
449 },
450 {
451 "AM23SIG0206.AV": "593.9241",
452 "time": "2016-05-01 00:05:37"
453 },
454 {
455 "AM23SIG0206.AV": "593.9105",
456 "time": "2016-05-01 00:05:40"
457 },
458 {
459 "AM23SIG0206.AV": "593.9752",
460 "time": "2016-05-01 00:05:43"
461 },
462 {
463 "AM23SIG0206.AV": "593.9887",
464 "time": "2016-05-01 00:05:46"
465 },
466 {
467 "AM23SIG0206.AV": "594.0049",
468 "time": "2016-05-01 00:05:49"
469 },
470 {
471 "AM23SIG0206.AV": "594.0049",
472 "time": "2016-05-01 00:05:52"
473 },
474 {
475 "AM23SIG0206.AV": "594.021",
476 "time": "2016-05-01 00:05:55"
477 },
478 {
479 "AM23SIG0206.AV": "594.0372",
480 "time": "2016-05-01 00:05:58"
481 },
482 {
483 "AM23SIG0206.AV": "594.021",
484 "time": "2016-05-01 00:06:01"
485 },
486 {
487 "AM23SIG0206.AV": "594.0695",
488 "time": "2016-05-01 00:06:04"
489 },
490 {
491 "AM23SIG0206.AV": "594.0856",
492 "time": "2016-05-01 00:06:07"
493 },
494 {
495 "AM23SIG0206.AV": "594.0857",
496 "time": "2016-05-01 00:06:10"
497 },
498 {
499 "AM23SIG0206.AV": "594.0857",
500 "time": "2016-05-01 00:06:13"
501 },
502 {
503 "AM23SIG0206.AV": "594.1476",
504 "time": "2016-05-01 00:06:16"
505 },
506 {
507 "AM23SIG0206.AV": "594.0830000000001",
508 "time": "2016-05-01 00:06:19"
509 },
510 {
511 "AM23SIG0206.AV": "594.1154",
512 "time": "2016-05-01 00:06:22"
513 },
514 {
515 "AM23SIG0206.AV": "594.1179",
516 "time": "2016-05-01 00:06:25"
517 },
518 {
519 "AM23SIG0206.AV": "594.1179",
520 "time": "2016-05-01 00:06:28"
521 },
522 {
523 "AM23SIG0206.AV": "594.0830000000001",
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852 "time": "2016-05-01 00:10:37"
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856 "time": "2016-05-01 00:10:40"
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859 "AM23SIG0206.AV": "593.3293",
860 "time": "2016-05-01 00:10:43"
861 },
862 {
863 "AM23SIG0206.AV": "593.3293",
864 "time": "2016-05-01 00:10:46"
865 }
866 ]View Code
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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