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Python基础之数字化大屏_data() { const option1 = { title: { text: "周销售额趋势"

作者：小蓝xlanll | 2024-06-10 05:22:59

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data() { const option1 = { title: { text: "周销售额趋势" }, xaxis: {

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.       ]
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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);

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>

备注

本文主要是记录学习，抛砖引玉。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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