Python基础之数字化大屏

本文主要是介绍Python基础之数字化大屏，对大家解决编程问题具有一定的参考价值，需要的程序猿们随着小编来一起学习吧！

在公司内部或前台，有时需要展示数字化看板，展示公司的业务信息。看着别的公司展示的炫酷的数字化大屏，是否很羡慕？本文以Python+flask+jQuery+eCharts，简述如何开发数字化大屏进行数据展示，仅供学习分享使用，如有不足之处，还请指正。

涉及知识点

Python+flask开发web系统，实现数据传输。
jQuery通过ajax技术，实现数据的异步通信，局部刷新。
eCharts进行图表的展示（包括柱状图，折线图，地图等）。
html+css页面布局等技术。

示例效果图

在本例中，主要展示某公司的产品累计趋势，产品新增趋势，销售柱状图，地图等内容，包括数字，图表等方式，具体如下所示：

页面设计

为了数据展示，将数字化大屏页面分为8个部分（标题，时间，左1，左2，中1，中2，右1，右2）如下所示：

页面布局核心代码，如下所示：

 1 <!DOCTYPE html>
 2 <html lang="en">
 3 <head>
 4     <meta charset="UTF-8">
 5     <title>数字化大屏</title>
 6     <link rel="stylesheet" href="../static/css/main.css">
 7 </head>
 8 <body>
 9 <header class="head">
10     <div class="title">
11         <h1>某某公司数字化大屏</h1>
12     </div>
13     <div class="time"></div>
14 </header>
15 <aside class="left">
16     <div id="left1" class="left1">这里是左侧边栏1</div>
17     <div id="left2" class="left2">这里是左侧边栏2</div>
18 </aside>
19 <section class="center">
20     <div class="center1">
21         <div class="num">1123</div>
22         <div class="num">234</div>
23         <div class="num">1345</div>
24         <div class="num">456</div>
25         <div class="txt">累计生产</div>
26         <div class="txt">剩余生产</div>
27         <div class="txt">累计销售</div>
28         <div class="txt">累计返厂</div>
29     </div>
30     <div class="center2" id="center2"></div>
31 </section>
32 <aside class="right">
33     <div id="right1" class="right1">这里是右侧边栏1</div>
34     <div id="right2" class="right2">这里是右侧边栏2</div>
35 </aside>
36 </body>
37 </html>

核心代码

后台数据

在本例中，flask做为web开发框架，提供了一个轻量级的实现web服务的功能。另本为了演示，实现了部分功能，其他则为静态数据，如下所示：

 1 from flask import Flask
 2 from flask import request
 3 from flask import render_template
 4 from flask import jsonify
 5 import random
 6 
 7 app = Flask(__name__)
 8 
 9 
10 @app.route('/main')
11 def main():
12     return render_template('main.html')
13 
14 
15 @app.route('/get_c1_data', methods=['get', 'post'])
16 def get_c1_data():
17     """获取C1数据"""
18     total_confirmed = random.randint(0, 10000)  # 累计生产
19     remain_suspect = random.randint(0, 5000)  # 剩余生产
20     total_cure = random.randint(0, 10000)  # 累计销售
21     total_dead = random.randint(0, 200)  # 累计返厂
22     return jsonify({"total_confirmed": total_confirmed, "remain_suspect": remain_suspect, "total_cure": total_cure,
23                     "total_dead": total_dead})
24 
25 
26 if __name__ == '__main__':
27     app.run()

注意：jQuery进行ajax数据访问，返回的json格式的数据，所以引入flask中的jsonify模块，进行数据转换。

ajax访问

在本例中，为了实现局部刷新，采用ajax的方式进行访问，如下所示：

 1     <script type="text/javascript">
 2         function get_time() {
 3             var cur_time = new Date();
 4             var str_time = cur_time.getFullYear() + "年" + ((cur_time.getMonth() + 1) > 9 ? (cur_time.getMonth() + 1) : "0" + (cur_time.getMonth() + 1)) + "月" + (cur_time.getDate() > 9 ? cur_time.getDate() : "0" + cur_time.getDate()) + "日" + " " + (cur_time.getHours() > 9 ? cur_time.getHours() : "0" + cur_time.getHours()) + ":" + (cur_time.getMinutes() > 9 ? cur_time.getMinutes() : "0" + cur_time.getMinutes()) + ":" + (cur_time.getSeconds() > 9 ? cur_time.getSeconds() : "0" + cur_time.getSeconds());
 5             $(".time").text(str_time);
 6         }
 7 
 8         function get_c1_data() {
 9             $.ajax({
10                 url: "/get_c1_data",
11                 type: "post",
12                 success: function (data) {
13                     $(".num").eq(0).text(data.total_confirmed);
14                     $(".num").eq(1).text(data.remain_suspect);
15                     $(".num").eq(2).text(data.total_cure);
16                     $(".num").eq(3).text(data.total_dead);
17 
18                 },
19                 error: function () {
20 
21                 }
22             });
23         }
24 
25         $(document).ready(function () {
26             get_time();
27             get_c1_data();
28             setInterval(get_time, 1000);
29             setInterval(get_c1_data,1000);
30         });
31     </script>

图表展示

在本例中，展示了多种图表，且各自独立，为了方便起见，将各个模块的图表，单独保存在js文件中。

折线图（累计趋势图）

 1 var left1 = document.getElementById('left1');
 2 var ec_left1 = echarts.init(left1,'dark');
 3 var ec_left1_option;
 4 
 5 ec_left1_option = {
 6   title: {
 7     text: '某某产品累计趋势',
 8     left:'left'
 9   },
10   tooltip: {
11     trigger: 'axis'
12   },
13   legend: {
14     data: ['累计生产', '剩余生产', '累计销售', '累计返厂'],
15     left:'right'
16   },
17   grid: {
18     left: '3%',
19     right: '4%',
20     bottom: '3%',
21     containLabel: true
22   },
23   // toolbox: {
24   //   feature: {
25   //     saveAsImage: {}
26   //   }
27   // },
28   xAxis: {
29     type: 'category',
30     boundaryGap: false,
31     data: ['09-24', '09-25', '09-26', '09-27', '09-28', '09-29', '09-30']
32   },
33   yAxis: {
34     type: 'value'
35   },
36   series: [
37     {
38       name: '累计生产',
39       type: 'line',
40       //stack: 'Total',
41       data: [120, 132, 101, 134, 90, 230, 210]
42     },
43     {
44       name: '剩余生产',
45       type: 'line',
46       //stack: 'Total',
47       data: [220, 182, 191, 234, 290, 330, 310]
48     },
49     {
50       name: '累计销售',
51       type: 'line',
52       //stack: 'Total',
53       data: [150, 232, 201, 154, 190, 330, 410]
54     },
55     {
56       name: '累计返厂',
57       type: 'line',
58       //stack: 'Total',
59       data: [320, 332, 301, 334, 390, 330, 320]
60     }
61   ]
62 };
63 
64 ec_left1_option && ec_left1.setOption(ec_left1_option);

折线（新增趋势图）

 1 var left2 = document.getElementById('left2');
 2 var ec_left2 = echarts.init(left2,'dark');
 3 var ec_left2_option;
 4 
 5 ec_left2_option = {
 6   title: {
 7     text: '某某公司产品新增趋势',
 8     left:'left'
 9   },
10   tooltip: {
11     trigger: 'axis'
12   },
13   legend: {
14     data: ['每日数量', '每日累计'],
15     left:'right'
16   },
17   grid: {
18     left: '3%',
19     right: '4%',
20     bottom: '3%',
21     containLabel: true
22   },
23   // toolbox: {
24   //   feature: {
25   //     saveAsImage: {}
26   //   }
27   // },
28   xAxis: {
29     type: 'category',
30     boundaryGap: false,
31     data: ['09-24', '09-25', '09-26', '09-27', '09-28', '09-29', '09-30']
32   },
33   yAxis: {
34     type: 'value'
35   },
36   series: [
37     {
38       name: '每日数量',
39       type: 'line',
40       //stack: 'Total',
41       data: [120, 132, 101, 134, 90, 230, 210]
42     },
43     {
44       name: '每日累计',
45       type: 'line',
46       //stack: 'Total',
47       data: [320, 332, 301, 334, 390, 330, 320]
48     }
49   ]
50 };
51 
52 ec_left2_option && ec_left2.setOption(ec_left2_option);

柱状图

 1 var right1 = document.getElementById('right1');
 2 var ec_right1 = echarts.init(right1,'dark');
 3 var ec_right1_option;
 4 
 5 ec_right1_option = {
 6     title: {
 7     text: '非重点城市销售Top5',
 8     left:'center'
 9   },
10   xAxis: {
11     type: 'category',
12     data: ['广东', '河南', '江苏', '湖南', '河北', '沈阳', '吉林']
13   },
14   yAxis: {
15     type: 'value'
16   },
17   series: [
18     {
19       data: [120, 200, 150, 80, 70, 110, 130],
20       type: 'bar'
21     }
22   ]
23 };
24 
25 ec_right1_option && ec_right1.setOption(ec_right1_option);

圆盘转速图

  1 var right2 = document.getElementById('right2');
  2 var ec_right2 = echarts.init(right2,'dark');
  3 var ec_right2_option;
  4 
  5 ec_right2_option = {
  6   backgroundColor: '#333',
  7   // tooltip: {
  8   //   formatter: '{a} <br/>{b} : {c}%'
  9   // },
 10   // toolbox: {
 11   //   feature: {
 12   //     restore: {},
 13   //     saveAsImage: {}
 14   //   }
 15   // },
 16   series: [
 17     // left
 18     {
 19       name: 'gauge 0',
 20       type: 'gauge',
 21       min: -200,
 22       max: 250,
 23       startAngle: -30,
 24       endAngle: -315,
 25       splitNumber: 9,
 26       radius: '35%',
 27       center: ['21%', '55%'],
 28       axisLine: {
 29         lineStyle: {
 30           color: [[1, '#AE96A6']]
 31         }
 32       },
 33       splitLine: {
 34         show: false
 35       },
 36       axisTick: {
 37         show: false
 38       },
 39       axisLabel: {
 40         show: false
 41       },
 42       anchor: {},
 43       pointer: {
 44         show: false
 45       },
 46       detail: {
 47         show: false
 48       },
 49       title: {
 50         fontSize: 8,
 51         fontWeight: 800,
 52         fontFamily: 'Arial',
 53         color: '#fff',
 54         offsetCenter: [0, '-60%']
 55       },
 56       progress: {
 57         show: true,
 58         width: 3,
 59         itemStyle: {
 60           color: '#fff'
 61         }
 62       },
 63       data: [
 64         {
 65           value: 250,
 66           name: 'km/h'
 67         }
 68       ]
 69     },
 70     {
 71       name: 'gauge 1',
 72       type: 'gauge',
 73       min: 0,
 74       max: 250,
 75       startAngle: -140,
 76       endAngle: -305,
 77       splitNumber: 5,
 78       radius: '35%',
 79       center: ['21%', '55%'],
 80       axisLine: {
 81         lineStyle: {
 82           color: [[1, '#AE96A6']]
 83         }
 84       },
 85       splitLine: {
 86         distance: -7,
 87         length: 12,
 88         lineStyle: {
 89           color: '#fff',
 90           width: 4
 91         }
 92       },
 93       axisTick: {
 94         distance: -8,
 95         length: 8,
 96         lineStyle: {
 97           color: '#fff',
 98           width: 2
 99         }
100       },
101       axisLabel: {
102         distance: 14,
103         fontSize: 10,
104         fontWeight: 800,
105         fontFamily: 'Arial',
106         color: '#fff'
107       },
108       anchor: {},
109       pointer: {
110         icon: 'path://M-36.5,23.9L-41,4.4c-0.1-0.4-0.4-0.7-0.7-0.7c-0.5-0.1-1.1,0.2-1.2,0.7l-4.5,19.5c0,0.1,0,0.1,0,0.2v92.3c0,0.6,0.4,1,1,1h9c0.6,0,1-0.4,1-1V24.1C-36.5,24-36.5,23.9-36.5,23.9z M-39.5,114.6h-5v-85h5V114.6z',
111         width: 5,
112         length: '40%',
113         offsetCenter: [0, '-58%'],
114         itemStyle: {
115           color: '#f00',
116           shadowColor: 'rgba(255, 0, 0)',
117           shadowBlur: 5,
118           shadowOffsetY: 2
119         }
120       },
121       title: {
122         color: '#fff',
123         fontSize: 14,
124         fontWeight: 800,
125         fontFamily: 'Arial',
126         offsetCenter: [0, 0]
127       },
128       detail: {
129         show: false
130       },
131       data: [
132         {
133           value: 0,
134           name: '当前位置：\n \n 中科路'
135         }
136       ]
137     },
138     // middle
139     {
140       name: 'gauge 2',
141       type: 'gauge',
142       min: 0,
143       max: 8,
144       z: 10,
145       startAngle: 210,
146       endAngle: -30,
147       splitNumber: 8,
148       radius: '50%',
149       center: ['50%', '50%'],
150       axisLine: {
151         show: true,
152         lineStyle: {
153           width: 0,
154           color: [
155             [0.825, '#fff'],
156             [1, '#f00']
157           ]
158         }
159       },
160       splitLine: {
161         distance: 20,
162         length: 15,
163         lineStyle: {
164           color: 'auto',
165           width: 4,
166           shadowColor: 'rgba(255, 255, 255, 0.5)',
167           shadowBlur: 15,
168           shadowOffsetY: -10
169         }
170       },
171       axisTick: {
172         distance: 20,
173         length: 8,
174         lineStyle: {
175           color: 'auto',
176           width: 2,
177           shadowColor: 'rgba(255, 255, 255)',
178           shadowBlur: 10,
179           shadowOffsetY: -10
180         }
181       },
182       axisLabel: {
183         distance: 10,
184         fontSize: 15,
185         fontWeight: 800,
186         fontFamily: 'Arial',
187         color: '#fff'
188       },
189       anchor: {},
190       pointer: {
191         icon: 'path://M-36.5,23.9L-41,4.4c-0.1-0.4-0.4-0.7-0.7-0.7c-0.5-0.1-1.1,0.2-1.2,0.7l-4.5,19.5c0,0.1,0,0.1,0,0.2v92.3c0,0.6,0.4,1,1,1h9c0.6,0,1-0.4,1-1V24.1C-36.5,24-36.5,23.9-36.5,23.9z M-39.5,114.6h-5v-85h5V114.6z',
192         width: 10,
193         offsetCenter: [0, '-10%'],
194         length: '75%',
195         itemStyle: {
196           color: '#f00',
197           shadowColor: 'rgba(255, 0, 0)',
198           shadowBlur: 5,
199           shadowOffsetY: 3
200         }
201       },
202       title: {
203         color: '#fff',
204         fontSize: 12,
205         fontWeight: 800,
206         fontFamily: 'Arial',
207         offsetCenter: [0, '-30%']
208       },
209       data: [
210         {
211           value: 0.6,
212           name: '1/min x 1000'
213         }
214       ],
215       detail: {
216         show: false
217       }
218     },
219     {
220       name: 'gauge 3',
221       type: 'gauge',
222       min: 0,
223       max: 8,
224       z: 10,
225       splitNumber: 8,
226       radius: '50%',
227       axisLine: {
228         lineStyle: {
229           width: 14,
230           color: [[1, '#000']]
231         }
232       },
233       splitLine: {
234         show: false
235       },
236       axisTick: {
237         show: false
238       },
239       axisLabel: {
240         show: false
241       },
242       anchor: {},
243       pointer: {
244         show: false
245       },
246       title: {
247         show: false
248       },
249       detail: {
250         offsetCenter: ['25%', '50%'],
251         formatter: '{a|{value}}{b|km/h}',
252         rich: {
253           a: {
254             fontSize: 20,
255             fontWeight: 800,
256             fontFamily: 'Arial',
257             color: '#fff',
258             align: 'center',
259             padding: [0, 5, 0, 0]
260           },
261           b: {
262             fontSize: 14,
263             fontWeight: 800,
264             fontFamily: 'Arial',
265             color: '#fff',
266             padding: [0, 0, 20, 0]
267           }
268         }
269       },
270       // value is speed
271       data: [
272         {
273           value: 0,
274           name: ''
275         }
276       ]
277     },
278     //right
279     {
280       name: 'gauge 4',
281       type: 'gauge',
282       min: 0,
283       max: 8,
284       startAngle: 135,
285       endAngle: -150,
286       splitNumber: 8,
287       radius: '35%',
288       center: ['79%', '55%'],
289       axisLine: {
290         lineStyle: {
291           color: [[1, '#AE96A6']]
292         }
293       },
294       splitLine: {
295         show: false
296       },
297       axisTick: {
298         show: false
299       },
300       axisLabel: {
301         show: false
302       },
303       anchor: {},
304       pointer: {
305         show: false
306       },
307       title: {},
308       detail: {
309         offsetCenter: ['-15%', 0],
310         formatter: [
311           '{a|                  00:00}',
312           '{a|行驶时间       0:00}{b| h}',
313           '{a|行驶距离        0.0}{b| km}',
314           '{a|平均耗能        ---}{b| 1/100km}',
315           '{a|平均速度        ---}{b| km/h}'
316         ].join('\n'),
317         rich: {
318           a: {
319             fontSize: 10,
320             fontWeight: 800,
321             fontFamily: 'Arial',
322             lineHeight: 22,
323             color: '#fff',
324             align: 'left'
325           },
326           b: {
327             fontWeight: 600,
328             fontFamily: 'Arial',
329             lineHeight: 22,
330             color: '#fff',
331             align: 'left'
332           }
333         }
334       },
335       progress: {
336         show: true,
337         width: 3,
338         itemStyle: {
339           color: '#fff'
340         }
341       },
342       data: [
343         {
344           value: 250,
345           name: ''
346         }
347       ]
348     },
349     {
350       name: 'gauge 5',
351       type: 'gauge',
352       min: 0,
353       max: 1,
354       startAngle: 125,
355       endAngle: 55,
356       splitNumber: 2,
357       radius: '34%',
358       center: ['79%', '55.3%'],
359       axisLine: {
360         lineStyle: {
361           width: 9,
362           color: [
363             [0.15, '#f00'],
364             [1, 'rgba(255, 0, 0, 0)']
365           ]
366         }
367       },
368       splitLine: {
369         distance: -14,
370         length: 16,
371         lineStyle: {
372           color: '#fff',
373           width: 4
374         }
375       },
376       axisTick: {
377         distance: -14,
378         length: 10,
379         lineStyle: {
380           color: '#fff',
381           width: 2
382         }
383       },
384       axisLabel: {
385         distance: 12,
386         fontSize: 10,
387         fontWeight: 800,
388         fontFamily: 'Arial',
389         color: '#fff',
390         formatter: function (value) {
391           if (value === 0.5) {
392             return '2/4';
393           }
394           if (value === 1) {
395             return '4/4';
396           }
397           return value + '';
398         }
399       },
400       progress: {
401         show: true,
402         width: 5,
403         itemStyle: {
404           color: '#fff'
405         }
406       },
407       anchor: {
408         show: true,
409         itemStyle: {},
410         offsetCenter: ['-22%', '-57%'],
411         size: 18,
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517 
518 ec_right2_option && ec_right2.setOption(ec_right2_option);

View Code

中国地图

  1 // var echarts = require('echarts');
  2 const data = [
  3   { name: '海门', value: 9 },
  4   { name: '鄂尔多斯', value: 12 },
  5   { name: '招远', value: 12 },
  6   { name: '舟山', value: 12 },
  7   { name: '齐齐哈尔', value: 14 },
  8   { name: '盐城', value: 15 },
  9   { name: '赤峰', value: 16 },
 10   { name: '青岛', value: 18 },
 11   { name: '乳山', value: 18 },
 12   { name: '金昌', value: 19 },
 13   { name: '泉州', value: 21 },
 14   { name: '莱西', value: 21 },
 15   { name: '日照', value: 21 },
 16   { name: '胶南', value: 22 },
 17   { name: '南通', value: 23 },
 18   { name: '拉萨', value: 24 },
 19   { name: '云浮', value: 24 },
 20   { name: '梅州', value: 25 },
 21   { name: '文登', value: 25 },
 22   { name: '上海', value: 25 },
 23   { name: '攀枝花', value: 25 },
 24   { name: '威海', value: 25 },
 25   { name: '承德', value: 25 },
 26   { name: '厦门', value: 26 },
 27   { name: '汕尾', value: 26 },
 28   { name: '潮州', value: 26 },
 29   { name: '丹东', value: 27 },
 30   { name: '太仓', value: 27 },
 31   { name: '曲靖', value: 27 },
 32   { name: '烟台', value: 28 },
 33   { name: '福州', value: 29 },
 34   { name: '瓦房店', value: 30 },
 35   { name: '即墨', value: 30 },
 36   { name: '抚顺', value: 31 },
 37   { name: '玉溪', value: 31 },
 38   { name: '张家口', value: 31 },
 39   { name: '阳泉', value: 31 },
 40   { name: '莱州', value: 32 },
 41   { name: '湖州', value: 32 },
 42   { name: '汕头', value: 32 },
 43   { name: '昆山', value: 33 },
 44   { name: '宁波', value: 33 },
 45   { name: '湛江', value: 33 },
 46   { name: '揭阳', value: 34 },
 47   { name: '荣成', value: 34 },
 48   { name: '连云港', value: 35 },
 49   { name: '葫芦岛', value: 35 },
 50   { name: '常熟', value: 36 },
 51   { name: '东莞', value: 36 },
 52   { name: '河源', value: 36 },
 53   { name: '淮安', value: 36 },
 54   { name: '泰州', value: 36 },
 55   { name: '南宁', value: 37 },
 56   { name: '营口', value: 37 },
 57   { name: '惠州', value: 37 },
 58   { name: '江阴', value: 37 },
 59   { name: '蓬莱', value: 37 },
 60   { name: '韶关', value: 38 },
 61   { name: '嘉峪关', value: 38 },
 62   { name: '广州', value: 38 },
 63   { name: '延安', value: 38 },
 64   { name: '太原', value: 39 },
 65   { name: '清远', value: 39 },
 66   { name: '中山', value: 39 },
 67   { name: '昆明', value: 39 },
 68   { name: '寿光', value: 40 },
 69   { name: '盘锦', value: 40 },
 70   { name: '长治', value: 41 },
 71   { name: '深圳', value: 41 },
 72   { name: '珠海', value: 42 },
 73   { name: '宿迁', value: 43 },
 74   { name: '咸阳', value: 43 },
 75   { name: '铜川', value: 44 },
 76   { name: '平度', value: 44 },
 77   { name: '佛山', value: 44 },
 78   { name: '海口', value: 44 },
 79   { name: '江门', value: 45 },
 80   { name: '章丘', value: 45 },
 81   { name: '肇庆', value: 46 },
 82   { name: '大连', value: 47 },
 83   { name: '临汾', value: 47 },
 84   { name: '吴江', value: 47 },
 85   { name: '石嘴山', value: 49 },
 86   { name: '沈阳', value: 50 },
 87   { name: '苏州', value: 50 },
 88   { name: '茂名', value: 50 },
 89   { name: '嘉兴', value: 51 },
 90   { name: '长春', value: 51 },
 91   { name: '胶州', value: 52 },
 92   { name: '银川', value: 52 },
 93   { name: '张家港', value: 52 },
 94   { name: '三门峡', value: 53 },
 95   { name: '锦州', value: 54 },
 96   { name: '南昌', value: 54 },
 97   { name: '柳州', value: 54 },
 98   { name: '三亚', value: 54 },
 99   { name: '自贡', value: 56 },
100   { name: '吉林', value: 56 },
101   { name: '阳江', value: 57 },
102   { name: '泸州', value: 57 },
103   { name: '西宁', value: 57 },
104   { name: '宜宾', value: 58 },
105   { name: '呼和浩特', value: 58 },
106   { name: '成都', value: 58 },
107   { name: '大同', value: 58 },
108   { name: '镇江', value: 59 },
109   { name: '桂林', value: 59 },
110   { name: '张家界', value: 59 },
111   { name: '宜兴', value: 59 },
112   { name: '北海', value: 60 },
113   { name: '西安', value: 61 },
114   { name: '金坛', value: 62 },
115   { name: '东营', value: 62 },
116   { name: '牡丹江', value: 63 },
117   { name: '遵义', value: 63 },
118   { name: '绍兴', value: 63 },
119   { name: '扬州', value: 64 },
120   { name: '常州', value: 64 },
121   { name: '潍坊', value: 65 },
122   { name: '重庆', value: 66 },
123   { name: '台州', value: 67 },
124   { name: '南京', value: 67 },
125   { name: '滨州', value: 70 },
126   { name: '贵阳', value: 71 },
127   { name: '无锡', value: 71 },
128   { name: '本溪', value: 71 },
129   { name: '克拉玛依', value: 72 },
130   { name: '渭南', value: 72 },
131   { name: '马鞍山', value: 72 },
132   { name: '宝鸡', value: 72 },
133   { name: '焦作', value: 75 },
134   { name: '句容', value: 75 },
135   { name: '北京', value: 79 },
136   { name: '徐州', value: 79 },
137   { name: '衡水', value: 80 },
138   { name: '包头', value: 80 },
139   { name: '绵阳', value: 80 },
140   { name: '乌鲁木齐', value: 84 },
141   { name: '枣庄', value: 84 },
142   { name: '杭州', value: 84 },
143   { name: '淄博', value: 85 },
144   { name: '鞍山', value: 86 },
145   { name: '溧阳', value: 86 },
146   { name: '库尔勒', value: 86 },
147   { name: '安阳', value: 90 },
148   { name: '开封', value: 90 },
149   { name: '济南', value: 92 },
150   { name: '德阳', value: 93 },
151   { name: '温州', value: 95 },
152   { name: '九江', value: 96 },
153   { name: '邯郸', value: 98 },
154   { name: '临安', value: 99 },
155   { name: '兰州', value: 99 },
156   { name: '沧州', value: 100 },
157   { name: '临沂', value: 103 },
158   { name: '南充', value: 104 },
159   { name: '天津', value: 105 },
160   { name: '富阳', value: 106 },
161   { name: '泰安', value: 112 },
162   { name: '诸暨', value: 112 },
163   { name: '郑州', value: 113 },
164   { name: '哈尔滨', value: 114 },
165   { name: '聊城', value: 116 },
166   { name: '芜湖', value: 117 },
167   { name: '唐山', value: 119 },
168   { name: '平顶山', value: 119 },
169   { name: '邢台', value: 119 },
170   { name: '德州', value: 120 },
171   { name: '济宁', value: 120 },
172   { name: '荆州', value: 127 },
173   { name: '宜昌', value: 130 },
174   { name: '义乌', value: 132 },
175   { name: '丽水', value: 133 },
176   { name: '洛阳', value: 134 },
177   { name: '秦皇岛', value: 136 },
178   { name: '株洲', value: 143 },
179   { name: '石家庄', value: 147 },
180   { name: '莱芜', value: 148 },
181   { name: '常德', value: 152 },
182   { name: '保定', value: 153 },
183   { name: '湘潭', value: 154 },
184   { name: '金华', value: 157 },
185   { name: '岳阳', value: 169 },
186   { name: '长沙', value: 175 },
187   { name: '衢州', value: 177 },
188   { name: '廊坊', value: 193 },
189   { name: '菏泽', value: 194 },
190   { name: '合肥', value: 229 },
191   { name: '武汉', value: 273 },
192   { name: '大庆', value: 279 }
193 ];
194 const geoCoordMap = {
195   海门: [121.15, 31.89],
196   鄂尔多斯: [109.781327, 39.608266],
197   招远: [120.38, 37.35],
198   舟山: [122.207216, 29.985295],
199   齐齐哈尔: [123.97, 47.33],
200   盐城: [120.13, 33.38],
201   赤峰: [118.87, 42.28],
202   青岛: [120.33, 36.07],
203   乳山: [121.52, 36.89],
204   金昌: [102.188043, 38.520089],
205   泉州: [118.58, 24.93],
206   莱西: [120.53, 36.86],
207   日照: [119.46, 35.42],
208   胶南: [119.97, 35.88],
209   南通: [121.05, 32.08],
210   拉萨: [91.11, 29.97],
211   云浮: [112.02, 22.93],
212   梅州: [116.1, 24.55],
213   文登: [122.05, 37.2],
214   上海: [121.48, 31.22],
215   攀枝花: [101.718637, 26.582347],
216   威海: [122.1, 37.5],
217   承德: [117.93, 40.97],
218   厦门: [118.1, 24.46],
219   汕尾: [115.375279, 22.786211],
220   潮州: [116.63, 23.68],
221   丹东: [124.37, 40.13],
222   太仓: [121.1, 31.45],
223   曲靖: [103.79, 25.51],
224   烟台: [121.39, 37.52],
225   福州: [119.3, 26.08],
226   瓦房店: [121.979603, 39.627114],
227   即墨: [120.45, 36.38],
228   抚顺: [123.97, 41.97],
229   玉溪: [102.52, 24.35],
230   张家口: [114.87, 40.82],
231   阳泉: [113.57, 37.85],
232   莱州: [119.942327, 37.177017],
233   湖州: [120.1, 30.86],
234   汕头: [116.69, 23.39],
235   昆山: [120.95, 31.39],
236   宁波: [121.56, 29.86],
237   湛江: [110.359377, 21.270708],
238   揭阳: [116.35, 23.55],
239   荣成: [122.41, 37.16],
240   连云港: [119.16, 34.59],
241   葫芦岛: [120.836932, 40.711052],
242   常熟: [120.74, 31.64],
243   东莞: [113.75, 23.04],
244   河源: [114.68, 23.73],
245   淮安: [119.15, 33.5],
246   泰州: [119.9, 32.49],
247   南宁: [108.33, 22.84],
248   营口: [122.18, 40.65],
249   惠州: [114.4, 23.09],
250   江阴: [120.26, 31.91],
251   蓬莱: [120.75, 37.8],
252   韶关: [113.62, 24.84],
253   嘉峪关: [98.289152, 39.77313],
254   广州: [113.23, 23.16],
255   延安: [109.47, 36.6],
256   太原: [112.53, 37.87],
257   清远: [113.01, 23.7],
258   中山: [113.38, 22.52],
259   昆明: [102.73, 25.04],
260   寿光: [118.73, 36.86],
261   盘锦: [122.070714, 41.119997],
262   长治: [113.08, 36.18],
263   深圳: [114.07, 22.62],
264   珠海: [113.52, 22.3],
265   宿迁: [118.3, 33.96],
266   咸阳: [108.72, 34.36],
267   铜川: [109.11, 35.09],
268   平度: [119.97, 36.77],
269   佛山: [113.11, 23.05],
270   海口: [110.35, 20.02],
271   江门: [113.06, 22.61],
272   章丘: [117.53, 36.72],
273   肇庆: [112.44, 23.05],
274   大连: [121.62, 38.92],
275   临汾: [111.5, 36.08],
276   吴江: [120.63, 31.16],
277   石嘴山: [106.39, 39.04],
278   沈阳: [123.38, 41.8],
279   苏州: [120.62, 31.32],
280   茂名: [110.88, 21.68],
281   嘉兴: [120.76, 30.77],
282   长春: [125.35, 43.88],
283   胶州: [120.03336, 36.264622],
284   银川: [106.27, 38.47],
285   张家港: [120.555821, 31.875428],
286   三门峡: [111.19, 34.76],
287   锦州: [121.15, 41.13],
288   南昌: [115.89, 28.68],
289   柳州: [109.4, 24.33],
290   三亚: [109.511909, 18.252847],
291   自贡: [104.778442, 29.33903],
292   吉林: [126.57, 43.87],
293   阳江: [111.95, 21.85],
294   泸州: [105.39, 28.91],
295   西宁: [101.74, 36.56],
296   宜宾: [104.56, 29.77],
297   呼和浩特: [111.65, 40.82],
298   成都: [104.06, 30.67],
299   大同: [113.3, 40.12],
300   镇江: [119.44, 32.2],
301   桂林: [110.28, 25.29],
302   张家界: [110.479191, 29.117096],
303   宜兴: [119.82, 31.36],
304   北海: [109.12, 21.49],
305   西安: [108.95, 34.27],
306   金坛: [119.56, 31.74],
307   东营: [118.49, 37.46],
308   牡丹江: [129.58, 44.6],
309   遵义: [106.9, 27.7],
310   绍兴: [120.58, 30.01],
311   扬州: [119.42, 32.39],
312   常州: [119.95, 31.79],
313   潍坊: [119.1, 36.62],
314   重庆: [106.54, 29.59],
315   台州: [121.420757, 28.656386],
316   南京: [118.78, 32.04],
317   滨州: [118.03, 37.36],
318   贵阳: [106.71, 26.57],
319   无锡: [120.29, 31.59],
320   本溪: [123.73, 41.3],
321   克拉玛依: [84.77, 45.59],
322   渭南: [109.5, 34.52],
323   马鞍山: [118.48, 31.56],
324   宝鸡: [107.15, 34.38],
325   焦作: [113.21, 35.24],
326   句容: [119.16, 31.95],
327   北京: [116.46, 39.92],
328   徐州: [117.2, 34.26],
329   衡水: [115.72, 37.72],
330   包头: [110, 40.58],
331   绵阳: [104.73, 31.48],
332   乌鲁木齐: [87.68, 43.77],
333   枣庄: [117.57, 34.86],
334   杭州: [120.19, 30.26],
335   淄博: [118.05, 36.78],
336   鞍山: [122.85, 41.12],
337   溧阳: [119.48, 31.43],
338   库尔勒: [86.06, 41.68],
339   安阳: [114.35, 36.1],
340   开封: [114.35, 34.79],
341   济南: [117, 36.65],
342   德阳: [104.37, 31.13],
343   温州: [120.65, 28.01],
344   九江: [115.97, 29.71],
345   邯郸: [114.47, 36.6],
346   临安: [119.72, 30.23],
347   兰州: [103.73, 36.03],
348   沧州: [116.83, 38.33],
349   临沂: [118.35, 35.05],
350   南充: [106.110698, 30.837793],
351   天津: [117.2, 39.13],
352   富阳: [119.95, 30.07],
353   泰安: [117.13, 36.18],
354   诸暨: [120.23, 29.71],
355   郑州: [113.65, 34.76],
356   哈尔滨: [126.63, 45.75],
357   聊城: [115.97, 36.45],
358   芜湖: [118.38, 31.33],
359   唐山: [118.02, 39.63],
360   平顶山: [113.29, 33.75],
361   邢台: [114.48, 37.05],
362   德州: [116.29, 37.45],
363   济宁: [116.59, 35.38],
364   荆州: [112.239741, 30.335165],
365   宜昌: [111.3, 30.7],
366   义乌: [120.06, 29.32],
367   丽水: [119.92, 28.45],
368   洛阳: [112.44, 34.7],
369   秦皇岛: [119.57, 39.95],
370   株洲: [113.16, 27.83],
371   石家庄: [114.48, 38.03],
372   莱芜: [117.67, 36.19],
373   常德: [111.69, 29.05],
374   保定: [115.48, 38.85],
375   湘潭: [112.91, 27.87],
376   金华: [119.64, 29.12],
377   岳阳: [113.09, 29.37],
378   长沙: [113, 28.21],
379   衢州: [118.88, 28.97],
380   廊坊: [116.7, 39.53],
381   菏泽: [115.480656, 35.23375],
382   合肥: [117.27, 31.86],
383   武汉: [114.31, 30.52],
384   大庆: [125.03, 46.58]
385 };
386 const convertData = function (data) {
387   var res = [];
388   for (var i = 0; i < data.length; i++) {
389     var geoCoord = geoCoordMap[data[i].name];
390     if (geoCoord) {
391       res.push({
392         name: data[i].name,
393         value: geoCoord.concat(data[i].value)
394       });
395     }
396   }
397   return res;
398 };
399 const ec_center_option = {
400   // title: {
401   //   text: '全国主要城市空气质量 - 百度地图',
402   //   subtext: 'data from PM25.in',
403   //   sublink: 'http://www.pm25.in',
404   //   left: 'center'
405   // },
406   tooltip: {
407     trigger: 'item'
408   },
409   bmap: {
410     center: [104.114129, 37.550339],
411     zoom: 5,
412     roam: true,
413     mapStyle: {
414       styleJson: [
415         {
416           featureType: 'water',
417           elementType: 'all',
418           stylers: {
419             color: '#d1d1d1'
420           }
421         },
422         {
423           featureType: 'land',
424           elementType: 'all',
425           stylers: {
426             color: '#f3f3f3'
427           }
428         },
429         {
430           featureType: 'railway',
431           elementType: 'all',
432           stylers: {
433             visibility: 'off'
434           }
435         },
436         {
437           featureType: 'highway',
438           elementType: 'all',
439           stylers: {
440             color: '#fdfdfd'
441           }
442         },
443         {
444           featureType: 'highway',
445           elementType: 'labels',
446           stylers: {
447             visibility: 'on'
448           }
449         },
450         {
451           featureType: 'arterial',
452           elementType: 'geometry',
453           stylers: {
454             color: '#fefefe'
455           }
456         },
457         {
458           featureType: 'arterial',
459           elementType: 'geometry.fill',
460           stylers: {
461             color: '#fefefe'
462           }
463         },
464         {
465           featureType: 'poi',
466           elementType: 'all',
467           stylers: {
468             visibility: 'off'
469           }
470         },
471         {
472           featureType: 'green',
473           elementType: 'all',
474           stylers: {
475             visibility: 'off'
476           }
477         },
478         {
479           featureType: 'subway',
480           elementType: 'all',
481           stylers: {
482             visibility: 'off'
483           }
484         },
485         {
486           featureType: 'manmade',
487           elementType: 'all',
488           stylers: {
489             color: '#d1d1d1'
490           }
491         },
492         {
493           featureType: 'local',
494           elementType: 'all',
495           stylers: {
496             color: '#d1d1d1'
497           }
498         },
499         {
500           featureType: 'arterial',
501           elementType: 'labels',
502           stylers: {
503             visibility: 'off'
504           }
505         },
506         {
507           featureType: 'boundary',
508           elementType: 'all',
509           stylers: {
510             color: '#fefefe'
511           }
512         },
513         {
514           featureType: 'building',
515           elementType: 'all',
516           stylers: {
517             color: '#d1d1d1'
518           }
519         },
520         {
521           featureType: 'label',
522           elementType: 'labels.text.fill',
523           stylers: {
524             color: '#999999'
525           }
526         }
527       ]
528     }
529   },
530   series: [
531     {
532       name: 'pm2.5',
533       type: 'scatter',
534       coordinateSystem: 'bmap',
535       data: convertData(data),
536       symbolSize: function (val) {
537         return val[2] / 10;
538       },
539       encode: {
540         value: 2
541       },
542       label: {
543         formatter: '{b}',
544         position: 'right',
545         show: false
546       },
547       emphasis: {
548         label: {
549           show: true
550         }
551       }
552     },
553     {
554       name: 'Top 5',
555       type: 'effectScatter',
556       coordinateSystem: 'bmap',
557       data: convertData(
558           data
559               .sort(function (a, b) {
560                 return b.value - a.value;
561               })
562               .slice(0, 6)
563       ),
564       symbolSize: function (val) {
565         return val[2] / 10;
566       },
567       encode: {
568         value: 2
569       },
570       showEffectOn: 'render',
571       rippleEffect: {
572         brushType: 'stroke'
573       },
574       label: {
575         formatter: '{b}',
576         position: 'right',
577         show: true
578       },
579       itemStyle: {
580         shadowBlur: 10,
581         shadowColor: '#333'
582       },
583       emphasis: {
584         scale: true
585       },
586       zlevel: 1
587     }
588   ]
589 };
590 // 基于准备好的dom，初始化echarts实例
591 var ec_center = echarts.init(document.getElementById('center2'),'dark');
592 ec_center_option&&ec_center.setOption(ec_center_option);

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页面整体调用

 1 <!DOCTYPE html>
 2 <html lang="en">
 3 <head>
 4     <meta charset="UTF-8">
 5     <title>数字化大屏</title>
 6     <link rel="stylesheet" href="../static/css/main.css">
 7     <script src="../static/js/jquery-3.6.0.js"></script>
 8     <script src="../static/js/echarts.min.js"></script>
 9     <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@3.6.0/map/js/china.js"></script>
10     <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@3.6.0/map/js/world.js"></script>
11     <script src="../static/js/bmap.min.js"></script>
12     <script type="text/javascript" src="https://api.map.baidu.com/api?v=2.0&ak=你的ak"></script>
13     <script src="../static/js/dark.js"></script>
14     <script type="text/javascript">
15         function get_time() {
16             var cur_time = new Date();
17             var str_time = cur_time.getFullYear() + "年" + ((cur_time.getMonth() + 1) > 9 ? (cur_time.getMonth() + 1) : "0" + (cur_time.getMonth() + 1)) + "月" + (cur_time.getDate() > 9 ? cur_time.getDate() : "0" + cur_time.getDate()) + "日" + " " + (cur_time.getHours() > 9 ? cur_time.getHours() : "0" + cur_time.getHours()) + ":" + (cur_time.getMinutes() > 9 ? cur_time.getMinutes() : "0" + cur_time.getMinutes()) + ":" + (cur_time.getSeconds() > 9 ? cur_time.getSeconds() : "0" + cur_time.getSeconds());
18             $(".time").text(str_time);
19         }
20 
21         function get_c1_data() {
22             $.ajax({
23                 url: "/get_c1_data",
24                 type: "post",
25                 success: function (data) {
26                     $(".num").eq(0).text(data.total_confirmed);
27                     $(".num").eq(1).text(data.remain_suspect);
28                     $(".num").eq(2).text(data.total_cure);
29                     $(".num").eq(3).text(data.total_dead);
30 
31                 },
32                 error: function () {
33 
34                 }
35             });
36         }
37 
38         $(document).ready(function () {
39             get_time();
40             get_c1_data();
41             setInterval(get_time, 1000);
42             setInterval(get_c1_data,1000);
43         });
44     </script>
45 </head>
46 <body>
47 <header class="head">
48     <div class="title">
49         <h1>某某公司数字化大屏</h1>
50     </div>
51     <div class="time"></div>
52 </header>
53 <aside class="left">
54     <div id="left1" class="left1">这里是左侧边栏1</div>
55     <div id="left2" class="left2">这里是左侧边栏2</div>
56 </aside>
57 <section class="center">
58     <div class="center1">
59         <div class="num">1123</div>
60         <div class="num">234</div>
61         <div class="num">1345</div>
62         <div class="num">456</div>
63         <div class="txt">累计生产</div>
64         <div class="txt">剩余生产</div>
65         <div class="txt">累计销售</div>
66         <div class="txt">累计返厂</div>
67 
68     </div>
69     <div class="center2" id="center2"></div>
70 </section>
71 <aside class="right">
72     <div id="right1" class="right1">这里是右侧边栏1</div>
73     <div id="right2" class="right2">这里是右侧边栏2</div>
74 </aside>
75 <script src="../static/js/ec_center.js" type="text/javascript"></script>
76 <script src="../static/js/ec_left1.js" type="text/javascript"></script>
77 <script src="../static/js/ec_left2.js" type="text/javascript"></script>
78 <script src="../static/js/ec_right1.js" type="text/javascript"></script>
79 <script src="../static/js/ec_right2.js" type="text/javascript"></script>
80 </body>
81 </html>

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备注

本文主要是记录学习，抛转引玉。与大家一起进步。

城南【作者】曾巩【朝代】宋

雨过横塘水满堤，乱山高下路东西。
一番桃李花开尽，惟有青青草色齐。

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