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：

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>数字化大屏</title>
    <link rel="stylesheet" href="../static/css/main.css">
</head>
<body>
<header class="head">
    <div class="title">
        <h1>某某公司数字化大屏</h1>
    </div>
    <div class="time"></div>
</header>
<aside class="left">
    <div id="left1" class="left1">这里是左侧边栏1</div>
    <div id="left2" class="left2">这里是左侧边栏2</div>
</aside>
<section class="center">
    <div class="center1">
        <div class="num">1123</div>
        <div class="num">234</div>
        <div class="num">1345</div>
        <div class="num">456</div>
        <div class="txt">累计生产</div>
        <div class="txt">剩余生产</div>
        <div class="txt">累计销售</div>
        <div class="txt">累计返厂</div>
    </div>
    <div class="center2" id="center2"></div>
</section>
<aside class="right">
    <div id="right1" class="right1">这里是右侧边栏1</div>
    <div id="right2" class="right2">这里是右侧边栏2</div>
</aside>
</body>
</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：

from flask import Flask
from flask import request
from flask import render_template
from flask import jsonify
import random

app = Flask(__name__)


@app.route('/main')
def main():
    return render_template('main.html')


@app.route('/get_c1_data', methods=['get', 'post'])
def get_c1_data():
    """获取C1数据"""
    total_confirmed = random.randint(0, 10000)  # 累计生产
    remain_suspect = random.randint(0, 5000)  # 剩余生产
    total_cure = random.randint(0, 10000)  # 累计销售
    total_dead = random.randint(0, 200)  # 累计返厂
    return jsonify({"total_confirmed": total_confirmed, "remain_suspect": remain_suspect, "total_cure": total_cure,
                    "total_dead": total_dead})


if __name__ == '__main__':
    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：

<script type="text/javascript">
        function get_time() {
            var cur_time = new Date();
            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());
            $(".time").text(str_time);
        }

        function get_c1_data() {
            $.ajax({
                url: "/get_c1_data",
                type: "post",
                success: function (data) {
                    $(".num").eq(0).text(data.total_confirmed);
                    $(".num").eq(1).text(data.remain_suspect);
                    $(".num").eq(2).text(data.total_cure);
                    $(".num").eq(3).text(data.total_dead);

                },
                error: function () {

                }
            });
        }

        $(document).ready(function () {
            get_time();
            get_c1_data();
            setInterval(get_time, 1000);
            setInterval(get_c1_data,1000);
        });
    </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）

var left1 = document.getElementById('left1');
var ec_left1 = echarts.init(left1,'dark');
var ec_left1_option;

ec_left1_option = {
  title: {
    text: '某某产品累计趋势',
    left:'left'
  },
  tooltip: {
    trigger: 'axis'
  },
  legend: {
    data: ['累计生产', '剩余生产', '累计销售', '累计返厂'],
    left:'right'
  },
  grid: {
    left: '3%',
    right: '4%',
    bottom: '3%',
    containLabel: true
  },
  // toolbox: {
  //   feature: {
  //     saveAsImage: {}
  //   }
  // },
  xAxis: {
    type: 'category',
    boundaryGap: false,
    data: ['09-24', '09-25', '09-26', '09-27', '09-28', '09-29', '09-30']
  },
  yAxis: {
    type: 'value'
  },
  series: [
    {
      name: '累计生产',
      type: 'line',
      //stack: 'Total',
      data: [120, 132, 101, 134, 90, 230, 210]
    },
    {
      name: '剩余生产',
      type: 'line',
      //stack: 'Total',
      data: [220, 182, 191, 234, 290, 330, 310]
    },
    {
      name: '累计销售',
      type: 'line',
      //stack: 'Total',
      data: [150, 232, 201, 154, 190, 330, 410]
    },
    {
      name: '累计返厂',
      type: 'line',
      //stack: 'Total',
      data: [320, 332, 301, 334, 390, 330, 320]
    }
  ]
};

ec_left1_option && ec_left1.setOption(ec_left1_option);

折线（新增趋势图）

var left2 = document.getElementById('left2');
var ec_left2 = echarts.init(left2,'dark');
var ec_left2_option;

ec_left2_option = {
  title: {
    text: '某某公司产品新增趋势',
    left:'left'
  },
  tooltip: {
    trigger: 'axis'
  },
  legend: {
    data: ['每日数量', '每日累计'],
    left:'right'
  },
  grid: {
    left: '3%',
    right: '4%',
    bottom: '3%',
    containLabel: true
  },
  // toolbox: {
  //   feature: {
  //     saveAsImage: {}
  //   }
  // },
  xAxis: {
    type: 'category',
    boundaryGap: false,
    data: ['09-24', '09-25', '09-26', '09-27', '09-28', '09-29', '09-30']
  },
  yAxis: {
    type: 'value'
  },
  series: [
    {
      name: '每日数量',
      type: 'line',
      //stack: 'Total',
      data: [120, 132, 101, 134, 90, 230, 210]
    },
    {
      name: '每日累计',
      type: 'line',
      //stack: 'Total',
      data: [320, 332, 301, 334, 390, 330, 320]
    }
  ]
};

ec_left2_option && ec_left2.setOption(ec_left2_option);

柱状图

var right1 = document.getElementById('right1');
var ec_right1 = echarts.init(right1,'dark');
var ec_right1_option;

ec_right1_option = {
    title: {
    text: '非重点城市销售Top5',
    left:'center'
  },
  xAxis: {
    type: 'category',
    data: ['广东', '河南', '江苏', '湖南', '河北', '沈阳', '吉林']
  },
  yAxis: {
    type: 'value'
  },
  series: [
    {
      data: [120, 200, 150, 80, 70, 110, 130],
      type: 'bar'
    }
  ]
};

ec_right1_option && ec_right1.setOption(ec_right1_option);

圆盘转速图

var right2 = document.getElementById('right2');
var ec_right2 = echarts.init(right2,'dark');
var ec_right2_option;

ec_right2_option = {
  backgroundColor: '#333',
  // tooltip: {
  //   formatter: '{a} <br/>{b} : {c}%'
  // },
  // toolbox: {
  //   feature: {
  //     restore: {},
  //     saveAsImage: {}
  //   }
  // },
  series: [
    // left
    {
      name: 'gauge 0',
      type: 'gauge',
      min: -200,
      max: 250,
      startAngle: -30,
      endAngle: -315,
      splitNumber: 9,
      radius: '35%',
      center: ['21%', '55%'],
      axisLine: {
        lineStyle: {
          color: [[1, '#AE96A6']]
        }
      },
      splitLine: {
        show: false
      },
      axisTick: {
        show: false
      },
      axisLabel: {
        show: false
      },
      anchor: {},
      pointer: {
        show: false
      },
      detail: {
        show: false
      },
      title: {
        fontSize: 8,
        fontWeight: 800,
        fontFamily: 'Arial',
        color: '#fff',
        offsetCenter: [0, '-60%']
      },
      progress: {
        show: true,
        width: 3,
        itemStyle: {
          color: '#fff'
        }
      },
      data: [
        {
          value: 250,
          name: 'km/h'
        }
      ]
    },
    {
      name: 'gauge 1',
      type: 'gauge',
      min: 0,
      max: 250,
      startAngle: -140,
      endAngle: -305,
      splitNumber: 5,
      radius: '35%',
      center: ['21%', '55%'],
      axisLine: {
        lineStyle: {
          color: [[1, '#AE96A6']]
        }
      },
      splitLine: {
        distance: -7,
        length: 12,
        lineStyle: {
          color: '#fff',
          width: 4
        }
      },
      axisTick: {
        distance: -8,
        length: 8,
        lineStyle: {
          color: '#fff',
          width: 2
        }
      },
      axisLabel: {
        distance: 14,
        fontSize: 10,
        fontWeight: 800,
        fontFamily: 'Arial',
        color: '#fff'
      },
      anchor: {},
      pointer: {
        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',
        width: 5,
        length: '40%',
        offsetCenter: [0, '-58%'],
        itemStyle: {
          color: '#f00',
          shadowColor: 'rgba(255, 0, 0)',
          shadowBlur: 5,
          shadowOffsetY: 2
        }
      },
      title: {
        color: '#fff',
        fontSize: 14,
        fontWeight: 800,
        fontFamily: 'Arial',
        offsetCenter: [0, 0]
      },
      detail: {
        show: false
      },
      data: [
        {
          value: 0,
          name: '当前位置：\n \n 中科路'
        }
      ]
    },
    // middle
    {
      name: 'gauge 2',
      type: 'gauge',
      min: 0,
      max: 8,
      z: 10,
      startAngle: 210,
      endAngle: -30,
      splitNumber: 8,
      radius: '50%',
      center: ['50%', '50%'],
      axisLine: {
        show: true,
        lineStyle: {
          width: 0,
          color: [
            [0.825, '#fff'],
            [1, '#f00']
          ]
        }
      },
      splitLine: {
        distance: 20,
        length: 15,
        lineStyle: {
          color: 'auto',
          width: 4,
          shadowColor: 'rgba(255, 255, 255, 0.5)',
          shadowBlur: 15,
          shadowOffsetY: -10
        }
      },
      axisTick: {
        distance: 20,
        length: 8,
        lineStyle: {
          color: 'auto',
          width: 2,
          shadowColor: 'rgba(255, 255, 255)',
          shadowBlur: 10,
          shadowOffsetY: -10
        }
      },
      axisLabel: {
        distance: 10,
        fontSize: 15,
        fontWeight: 800,
        fontFamily: 'Arial',
        color: '#fff'
      },
      anchor: {},
      pointer: {
        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',
        width: 10,
        offsetCenter: [0, '-10%'],
        length: '75%',
        itemStyle: {
          color: '#f00',
          shadowColor: 'rgba(255, 0, 0)',
          shadowBlur: 5,
          shadowOffsetY: 3
        }
      },
      title: {
        color: '#fff',
        fontSize: 12,
        fontWeight: 800,
        fontFamily: 'Arial',
        offsetCenter: [0, '-30%']
      },
      data: [
        {
          value: 0.6,
          name: '1/min x 1000'
        }
      ],
      detail: {
        show: false
      }
    },
    {
      name: 'gauge 3',
      type: 'gauge',
      min: 0,
      max: 8,
      z: 10,
      splitNumber: 8,
      radius: '50%',
      axisLine: {
        lineStyle: {
          width: 14,
          color: [[1, '#000']]
        }
      },
      splitLine: {
        show: false
      },
      axisTick: {
        show: false
      },
      axisLabel: {
        show: false
      },
      anchor: {},
      pointer: {
        show: false
      },
      title: {
        show: false
      },
      detail: {
        offsetCenter: ['25%', '50%'],
        formatter: '{a|{value}}{b|km/h}',
        rich: {
          a: {
            fontSize: 20,
            fontWeight: 800,
            fontFamily: 'Arial',
            color: '#fff',
            align: 'center',
            padding: [0, 5, 0, 0]
          },
          b: {
            fontSize: 14,
            fontWeight: 800,
            fontFamily: 'Arial',
            color: '#fff',
            padding: [0, 0, 20, 0]
          }
        }
      },
      // value is speed
      data: [
        {
          value: 0,
          name: ''
        }
      ]
    },
    //right
    {
      name: 'gauge 4',
      type: 'gauge',
      min: 0,
      max: 8,
      startAngle: 135,
      endAngle: -150,
      splitNumber: 8,
      radius: '35%',
      center: ['79%', '55%'],
      axisLine: {
        lineStyle: {
          color: [[1, '#AE96A6']]
        }
      },
      splitLine: {
        show: false
      },
      axisTick: {
        show: false
      },
      axisLabel: {
        show: false
      },
      anchor: {},
      pointer: {
        show: false
      },
      title: {},
      detail: {
        offsetCenter: ['-15%', 0],
        formatter: [
          '{a|                  00:00}',
          '{a|行驶时间       0:00}{b| h}',
          '{a|行驶距离        0.0}{b| km}',
          '{a|平均耗能        ---}{b| 1/100km}',
          '{a|平均速度        ---}{b| km/h}'
        ].join('\n'),
        rich: {
          a: {
            fontSize: 10,
            fontWeight: 800,
            fontFamily: 'Arial',
            lineHeight: 22,
            color: '#fff',
            align: 'left'
          },
          b: {
            fontWeight: 600,
            fontFamily: 'Arial',
            lineHeight: 22,
            color: '#fff',
            align: 'left'
          }
        }
      },
      progress: {
        show: true,
        width: 3,
        itemStyle: {
          color: '#fff'
        }
      },
      data: [
        {
          value: 250,
          name: ''
        }
      ]
    },
    {
      name: 'gauge 5',
      type: 'gauge',
      min: 0,
      max: 1,
      startAngle: 125,
      endAngle: 55,
      splitNumber: 2,
      radius: '34%',
      center: ['79%', '55.3%'],
      axisLine: {
        lineStyle: {
          width: 9,
          color: [
            [0.15, '#f00'],
            [1, 'rgba(255, 0, 0, 0)']
          ]
        }
      },
      splitLine: {
        distance: -14,
        length: 16,
        lineStyle: {
          color: '#fff',
          width: 4
        }
      },
      axisTick: {
        distance: -14,
        length: 10,
        lineStyle: {
          color: '#fff',
          width: 2
        }
      },
      axisLabel: {
        distance: 12,
        fontSize: 10,
        fontWeight: 800,
        fontFamily: 'Arial',
        color: '#fff',
        formatter: function (value) {
          if (value === 0.5) {
            return '2/4';
          }
          if (value === 1) {
            return '4/4';
          }
          return value + '';
        }
      },
      progress: {
        show: true,
        width: 5,
        itemStyle: {
          color: '#fff'
        }
      },
      anchor: {
        show: true,
        itemStyle: {},
        offsetCenter: ['-22%', '-57%'],
        size: 18,
        icon: 'path://M1.11979167,1.11111112 C1.11979167,0.497461393 1.61725306,0 2.23090279,0 L12.2309028,0 C12.8445525,1.43824153e-08 13.3420139,0.497461403 13.3420139,1.11111112 L13.3420139,10 L15.5642361,10 C16.7915356,10 17.7864583,10.9949228 17.7864583,12.2222222 L17.7864583,16.6666667 C17.7865523,17.28025 18.2839861,17.7776077 18.8975694,17.7776077 C19.5111527,17.7776077 20.0085866,17.28025 20.0086805,16.6666667 L20.0086805,8.88888888 L17.7864583,8.88888888 C17.1728086,8.88888888 16.6753472,8.3914275 16.6753472,7.77777779 L16.6753472,3.79333333 L15.6197917,2.73777777 C15.1859413,2.30392741 15.1859413,1.60051702 15.6197917,1.16666667 L15.6197917,1.16666667 C16.053642,0.732816318 16.7570524,0.732816318 17.1909028,1.16666667 L21.9053472,5.88111112 C22.1140468,6.08922811 22.2312072,6.37193273 22.2309028,6.66666667 L22.2309028,16.6666667 C22.2309028,18.5076158 20.7385186,20 18.8975695,20 C17.0566203,20 15.5642361,18.5076158 15.5642361,16.6666667 L15.5642361,12.2222222 L13.3420139,12.2222222 L13.3420139,17.7777778 L13.3420139,17.7777778 C13.9556636,17.7777778 14.453125,18.2752392 14.453125,18.8888889 L14.453125,18.8888889 C14.453125,19.5025386 13.9556636,20 13.3420139,20 L1.11979165,20 C0.506141934,20 0.00868054688,19.5025386 0.00868054687,18.8888889 L0.00868054687,18.8888889 C0.00868054688,18.2752392 0.506141934,17.7777778 1.11979165,17.7777778 L1.11979167,17.7777778 L1.11979167,1.11111112 Z M3.34201388,2.22222221 L3.34201388,8.88888888 L11.1197917,8.88888888 L11.1197917,2.22222221 L3.34201388,2.22222221 Z'
      },
      pointer: {
        show: false
      },
      title: {},
      detail: {
        offsetCenter: ['10%', '-56%'],
        formatter: '{a|831}{b| km}',
        rich: {
          a: {
            fontSize: 15,
            fontWeight: 800,
            fontFamily: 'Arial',
            color: '#fff'
          },
          b: {
            fontWeight: 600,
            fontFamily: 'Arial',
            color: '#fff'
          }
        }
      },
      data: [
        {
          value: 0.85,
          name: ''
        }
      ]
    },
    {
      name: 'gauge 6',
      type: 'gauge',
      min: -120,
      max: -60,
      startAngle: 230,
      endAngle: 310,
      clockwise: false,
      splitNumber: 2,
      radius: '35%',
      center: ['79%', '55%'],
      axisLine: {
        lineStyle: {
          color: [
            [1, '#AE96A6'],
            [1.1, '#f00']
          ]
        }
      },
      splitLine: {
        distance: -8,
        length: 12,
        lineStyle: {
          color: '#fff',
          width: 4
        }
      },
      axisTick: {
        splitNumber: 3,
        length: 8,
        distance: -8,
        lineStyle: {
          color: '#fff',
          width: 2
        }
      },
      axisLabel: {
        distance: 14,
        fontSize: 10,
        fontWeight: 800,
        fontFamily: 'Arial',
        color: '#fff',
        formatter: function (value) {
          return -value + '';
        }
      },
      anchor: {
        show: true,
        itemStyle: {},
        offsetCenter: [0, '55%'],
        size: 20,
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ec_right2_option && ec_right2.setOption(ec_right2_option);

中国地图

// var echarts = require('echarts');
const data = [
  { name: '海门', value: 9 },
  { name: '鄂尔多斯', value: 12 },
  { name: '招远', value: 12 },
  { name: '舟山', value: 12 },
  { name: '齐齐哈尔', value: 14 },
  { name: '盐城', value: 15 },
  { name: '赤峰', value: 16 },
  { name: '青岛', value: 18 },
  { name: '乳山', value: 18 },
  { name: '金昌', value: 19 },
  { name: '泉州', value: 21 },
  { name: '莱西', value: 21 },
  { name: '日照', value: 21 },
  { name: '胶南', value: 22 },
  { name: '南通', value: 23 },
  { name: '拉萨', value: 24 },
  { name: '云浮', value: 24 },
  { name: '梅州', value: 25 },
  { name: '文登', value: 25 },
  { name: '上海', value: 25 },
  { name: '攀枝花', value: 25 },
  { name: '威海', value: 25 },
  { name: '承德', value: 25 },
  { name: '厦门', value: 26 },
  { name: '汕尾', value: 26 },
  { name: '潮州', value: 26 },
  { name: '丹东', value: 27 },
  { name: '太仓', value: 27 },
  { name: '曲靖', value: 27 },
  { name: '烟台', value: 28 },
  { name: '福州', value: 29 },
  { name: '瓦房店', value: 30 },
  { name: '即墨', value: 30 },
  { name: '抚顺', value: 31 },
  { name: '玉溪', value: 31 },
  { name: '张家口', value: 31 },
  { name: '阳泉', value: 31 },
  { name: '莱州', value: 32 },
  { name: '湖州', value: 32 },
  { name: '汕头', value: 32 },
  { name: '昆山', value: 33 },
  { name: '宁波', value: 33 },
  { name: '湛江', value: 33 },
  { name: '揭阳', value: 34 },
  { name: '荣成', value: 34 },
  { name: '连云港', value: 35 },
  { name: '葫芦岛', value: 35 },
  { name: '常熟', value: 36 },
  { name: '东莞', value: 36 },
  { name: '河源', value: 36 },
  { name: '淮安', value: 36 },
  { name: '泰州', value: 36 },
  { name: '南宁', value: 37 },
  { name: '营口', value: 37 },
  { name: '惠州', value: 37 },
  { name: '江阴', value: 37 },
  { name: '蓬莱', value: 37 },
  { name: '韶关', value: 38 },
  { name: '嘉峪关', value: 38 },
  { name: '广州', value: 38 },
  { name: '延安', value: 38 },
  { name: '太原', value: 39 },
  { name: '清远', value: 39 },
  { name: '中山', value: 39 },
  { name: '昆明', value: 39 },
  { name: '寿光', value: 40 },
  { name: '盘锦', value: 40 },
  { name: '长治', value: 41 },
  { name: '深圳', value: 41 },
  { name: '珠海', value: 42 },
  { name: '宿迁', value: 43 },
  { name: '咸阳', value: 43 },
  { name: '铜川', value: 44 },
  { name: '平度', value: 44 },
  { name: '佛山', value: 44 },
  { name: '海口', value: 44 },
  { name: '江门', value: 45 },
  { name: '章丘', value: 45 },
  { name: '肇庆', value: 46 },
  { name: '大连', value: 47 },
  { name: '临汾', value: 47 },
  { name: '吴江', value: 47 },
  { name: '石嘴山', value: 49 },
  { name: '沈阳', value: 50 },
  { name: '苏州', value: 50 },
  { name: '茂名', value: 50 },
  { name: '嘉兴', value: 51 },
  { name: '长春', value: 51 },
  { name: '胶州', value: 52 },
  { name: '银川', value: 52 },
  { name: '张家港', value: 52 },
  { name: '三门峡', value: 53 },
  { name: '锦州', value: 54 },
  { name: '南昌', value: 54 },
  { name: '柳州', value: 54 },
  { name: '三亚', value: 54 },
  { name: '自贡', value: 56 },
  { name: '吉林', value: 56 },
  { name: '阳江', value: 57 },
  { name: '泸州', value: 57 },
  { name: '西宁', value: 57 },
  { name: '宜宾', value: 58 },
  { name: '呼和浩特', value: 58 },
  { name: '成都', value: 58 },
  { name: '大同', value: 58 },
  { name: '镇江', value: 59 },
  { name: '桂林', value: 59 },
  { name: '张家界', value: 59 },
  { name: '宜兴', value: 59 },
  { name: '北海', value: 60 },
  { name: '西安', value: 61 },
  { name: '金坛', value: 62 },
  { name: '东营', value: 62 },
  { name: '牡丹江', value: 63 },
  { name: '遵义', value: 63 },
  { name: '绍兴', value: 63 },
  { name: '扬州', value: 64 },
  { name: '常州', value: 64 },
  { name: '潍坊', value: 65 },
  { name: '重庆', value: 66 },
  { name: '台州', value: 67 },
  { name: '南京', value: 67 },
  { name: '滨州', value: 70 },
  { name: '贵阳', value: 71 },
  { name: '无锡', value: 71 },
  { name: '本溪', value: 71 },
  { name: '克拉玛依', value: 72 },
  { name: '渭南', value: 72 },
  { name: '马鞍山', value: 72 },
  { name: '宝鸡', value: 72 },
  { name: '焦作', value: 75 },
  { name: '句容', value: 75 },
  { name: '北京', value: 79 },
  { name: '徐州', value: 79 },
  { name: '衡水', value: 80 },
  { name: '包头', value: 80 },
  { name: '绵阳', value: 80 },
  { name: '乌鲁木齐', value: 84 },
  { name: '枣庄', value: 84 },
  { name: '杭州', value: 84 },
  { name: '淄博', value: 85 },
  { name: '鞍山', value: 86 },
  { name: '溧阳', value: 86 },
  { name: '库尔勒', value: 86 },
  { name: '安阳', value: 90 },
  { name: '开封', value: 90 },
  { name: '济南', value: 92 },
  { name: '德阳', value: 93 },
  { name: '温州', value: 95 },
  { name: '九江', value: 96 },
  { name: '邯郸', value: 98 },
  { name: '临安', value: 99 },
  { name: '兰州', value: 99 },
  { name: '沧州', value: 100 },
  { name: '临沂', value: 103 },
  { name: '南充', value: 104 },
  { name: '天津', value: 105 },
  { name: '富阳', value: 106 },
  { name: '泰安', value: 112 },
  { name: '诸暨', value: 112 },
  { name: '郑州', value: 113 },
  { name: '哈尔滨', value: 114 },
  { name: '聊城', value: 116 },
  { name: '芜湖', value: 117 },
  { name: '唐山', value: 119 },
  { name: '平顶山', value: 119 },
  { name: '邢台', value: 119 },
  { name: '德州', value: 120 },
  { name: '济宁', value: 120 },
  { name: '荆州', value: 127 },
  { name: '宜昌', value: 130 },
  { name: '义乌', value: 132 },
  { name: '丽水', value: 133 },
  { name: '洛阳', value: 134 },
  { name: '秦皇岛', value: 136 },
  { name: '株洲', value: 143 },
  { name: '石家庄', value: 147 },
  { name: '莱芜', value: 148 },
  { name: '常德', value: 152 },
  { name: '保定', value: 153 },
  { name: '湘潭', value: 154 },
  { name: '金华', value: 157 },
  { name: '岳阳', value: 169 },
  { name: '长沙', value: 175 },
  { name: '衢州', value: 177 },
  { name: '廊坊', value: 193 },
  { name: '菏泽', value: 194 },
  { name: '合肥', value: 229 },
  { name: '武汉', value: 273 },
  { name: '大庆', value: 279 }
];
const geoCoordMap = {
  海门: [121.15, 31.89],
  鄂尔多斯: [109.781327, 39.608266],
  招远: [120.38, 37.35],
  舟山: [122.207216, 29.985295],
  齐齐哈尔: [123.97, 47.33],
  盐城: [120.13, 33.38],
  赤峰: [118.87, 42.28],
  青岛: [120.33, 36.07],
  乳山: [121.52, 36.89],
  金昌: [102.188043, 38.520089],
  泉州: [118.58, 24.93],
  莱西: [120.53, 36.86],
  日照: [119.46, 35.42],
  胶南: [119.97, 35.88],
  南通: [121.05, 32.08],
  拉萨: [91.11, 29.97],
  云浮: [112.02, 22.93],
  梅州: [116.1, 24.55],
  文登: [122.05, 37.2],
  上海: [121.48, 31.22],
  攀枝花: [101.718637, 26.582347],
  威海: [122.1, 37.5],
  承德: [117.93, 40.97],
  厦门: [118.1, 24.46],
  汕尾: [115.375279, 22.786211],
  潮州: [116.63, 23.68],
  丹东: [124.37, 40.13],
  太仓: [121.1, 31.45],
  曲靖: [103.79, 25.51],
  烟台: [121.39, 37.52],
  福州: [119.3, 26.08],
  瓦房店: [121.979603, 39.627114],
  即墨: [120.45, 36.38],
  抚顺: [123.97, 41.97],
  玉溪: [102.52, 24.35],
  张家口: [114.87, 40.82],
  阳泉: [113.57, 37.85],
  莱州: [119.942327, 37.177017],
  湖州: [120.1, 30.86],
  汕头: [116.69, 23.39],
  昆山: [120.95, 31.39],
  宁波: [121.56, 29.86],
  湛江: [110.359377, 21.270708],
  揭阳: [116.35, 23.55],
  荣成: [122.41, 37.16],
  连云港: [119.16, 34.59],
  葫芦岛: [120.836932, 40.711052],
  常熟: [120.74, 31.64],
  东莞: [113.75, 23.04],
  河源: [114.68, 23.73],
  淮安: [119.15, 33.5],
  泰州: [119.9, 32.49],
  南宁: [108.33, 22.84],
  营口: [122.18, 40.65],
  惠州: [114.4, 23.09],
  江阴: [120.26, 31.91],
  蓬莱: [120.75, 37.8],
  韶关: [113.62, 24.84],
  嘉峪关: [98.289152, 39.77313],
  广州: [113.23, 23.16],
  延安: [109.47, 36.6],
  太原: [112.53, 37.87],
  清远: [113.01, 23.7],
  中山: [113.38, 22.52],
  昆明: [102.73, 25.04],
  寿光: [118.73, 36.86],
  盘锦: [122.070714, 41.119997],
  长治: [113.08, 36.18],
  深圳: [114.07, 22.62],
  珠海: [113.52, 22.3],
  宿迁: [118.3, 33.96],
  咸阳: [108.72, 34.36],
  铜川: [109.11, 35.09],
  平度: [119.97, 36.77],
  佛山: [113.11, 23.05],
  海口: [110.35, 20.02],
  江门: [113.06, 22.61],
  章丘: [117.53, 36.72],
  肇庆: [112.44, 23.05],
  大连: [121.62, 38.92],
  临汾: [111.5, 36.08],
  吴江: [120.63, 31.16],
  石嘴山: [106.39, 39.04],
  沈阳: [123.38, 41.8],
  苏州: [120.62, 31.32],
  茂名: [110.88, 21.68],
  嘉兴: [120.76, 30.77],
  长春: [125.35, 43.88],
  胶州: [120.03336, 36.264622],
  银川: [106.27, 38.47],
  张家港: [120.555821, 31.875428],
  三门峡: [111.19, 34.76],
  锦州: [121.15, 41.13],
  南昌: [115.89, 28.68],
  柳州: [109.4, 24.33],
  三亚: [109.511909, 18.252847],
  自贡: [104.778442, 29.33903],
  吉林: [126.57, 43.87],
  阳江: [111.95, 21.85],
  泸州: [105.39, 28.91],
  西宁: [101.74, 36.56],
  宜宾: [104.56, 29.77],
  呼和浩特: [111.65, 40.82],
  成都: [104.06, 30.67],
  大同: [113.3, 40.12],
  镇江: [119.44, 32.2],
  桂林: [110.28, 25.29],
  张家界: [110.479191, 29.117096],
  宜兴: [119.82, 31.36],
  北海: [109.12, 21.49],
  西安: [108.95, 34.27],
  金坛: [119.56, 31.74],
  东营: [118.49, 37.46],
  牡丹江: [129.58, 44.6],
  遵义: [106.9, 27.7],
  绍兴: [120.58, 30.01],
  扬州: [119.42, 32.39],
  常州: [119.95, 31.79],
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  滨州: [118.03, 37.36],
  贵阳: [106.71, 26.57],
  无锡: [120.29, 31.59],
  本溪: [123.73, 41.3],
  克拉玛依: [84.77, 45.59],
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  宝鸡: [107.15, 34.38],
  焦作: [113.21, 35.24],
  句容: [119.16, 31.95],
  北京: [116.46, 39.92],
  徐州: [117.2, 34.26],
  衡水: [115.72, 37.72],
  包头: [110, 40.58],
  绵阳: [104.73, 31.48],
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  鞍山: [122.85, 41.12],
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  开封: [114.35, 34.79],
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  温州: [120.65, 28.01],
  九江: [115.97, 29.71],
  邯郸: [114.47, 36.6],
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  兰州: [103.73, 36.03],
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  富阳: [119.95, 30.07],
  泰安: [117.13, 36.18],
  诸暨: [120.23, 29.71],
  郑州: [113.65, 34.76],
  哈尔滨: [126.63, 45.75],
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  邢台: [114.48, 37.05],
  德州: [116.29, 37.45],
  济宁: [116.59, 35.38],
  荆州: [112.239741, 30.335165],
  宜昌: [111.3, 30.7],
  义乌: [120.06, 29.32],
  丽水: [119.92, 28.45],
  洛阳: [112.44, 34.7],
  秦皇岛: [119.57, 39.95],
  株洲: [113.16, 27.83],
  石家庄: [114.48, 38.03],
  莱芜: [117.67, 36.19],
  常德: [111.69, 29.05],
  保定: [115.48, 38.85],
  湘潭: [112.91, 27.87],
  金华: [119.64, 29.12],
  岳阳: [113.09, 29.37],
  长沙: [113, 28.21],
  衢州: [118.88, 28.97],
  廊坊: [116.7, 39.53],
  菏泽: [115.480656, 35.23375],
  合肥: [117.27, 31.86],
  武汉: [114.31, 30.52],
  大庆: [125.03, 46.58]
};
const convertData = function (data) {
  var res = [];
  for (var i = 0; i < data.length; i++) {
    var geoCoord = geoCoordMap[data[i].name];
    if (geoCoord) {
      res.push({
        name: data[i].name,
        value: geoCoord.concat(data[i].value)
      });
    }
  }
  return res;
};
const ec_center_option = {
  // title: {
  //   text: '全国主要城市空气质量 - 百度地图',
  //   subtext: 'data from PM25.in',
  //   sublink: 'http://www.pm25.in',
  //   left: 'center'
  // },
  tooltip: {
    trigger: 'item'
  },
  bmap: {
    center: [104.114129, 37.550339],
    zoom: 5,
    roam: true,
    mapStyle: {
      styleJson: [
        {
          featureType: 'water',
          elementType: 'all',
          stylers: {
            color: '#d1d1d1'
          }
        },
        {
          featureType: 'land',
          elementType: 'all',
          stylers: {
            color: '#f3f3f3'
          }
        },
        {
          featureType: 'railway',
          elementType: 'all',
          stylers: {
            visibility: 'off'
          }
        },
        {
          featureType: 'highway',
          elementType: 'all',
          stylers: {
            color: '#fdfdfd'
          }
        },
        {
          featureType: 'highway',
          elementType: 'labels',
          stylers: {
            visibility: 'on'
          }
        },
        {
          featureType: 'arterial',
          elementType: 'geometry',
          stylers: {
            color: '#fefefe'
          }
        },
        {
          featureType: 'arterial',
          elementType: 'geometry.fill',
          stylers: {
            color: '#fefefe'
          }
        },
        {
          featureType: 'poi',
          elementType: 'all',
          stylers: {
            visibility: 'off'
          }
        },
        {
          featureType: 'green',
          elementType: 'all',
          stylers: {
            visibility: 'off'
          }
        },
        {
          featureType: 'subway',
          elementType: 'all',
          stylers: {
            visibility: 'off'
          }
        },
        {
          featureType: 'manmade',
          elementType: 'all',
          stylers: {
            color: '#d1d1d1'
          }
        },
        {
          featureType: 'local',
          elementType: 'all',
          stylers: {
            color: '#d1d1d1'
          }
        },
        {
          featureType: 'arterial',
          elementType: 'labels',
          stylers: {
            visibility: 'off'
          }
        },
        {
          featureType: 'boundary',
          elementType: 'all',
          stylers: {
            color: '#fefefe'
          }
        },
        {
          featureType: 'building',
          elementType: 'all',
          stylers: {
            color: '#d1d1d1'
          }
        },
        {
          featureType: 'label',
          elementType: 'labels.text.fill',
          stylers: {
            color: '#999999'
          }
        }
      ]
    }
  },
  series: [
    {
      name: 'pm2.5',
      type: 'scatter',
      coordinateSystem: 'bmap',
      data: convertData(data),
      symbolSize: function (val) {
        return val[2] / 10;
      },
      encode: {
        value: 2
      },
      label: {
        formatter: '{b}',
        position: 'right',
        show: false
      },
      emphasis: {
        label: {
          show: true
        }
      }
    },
    {
      name: 'Top 5',
      type: 'effectScatter',
      coordinateSystem: 'bmap',
      data: convertData(
          data
              .sort(function (a, b) {
                return b.value - a.value;
              })
              .slice(0, 6)
      ),
      symbolSize: function (val) {
        return val[2] / 10;
      },
      encode: {
        value: 2
      },
      showEffectOn: 'render',
      rippleEffect: {
        brushType: 'stroke'
      },
      label: {
        formatter: '{b}',
        position: 'right',
        show: true
      },
      itemStyle: {
        shadowBlur: 10,
        shadowColor: '#333'
      },
      emphasis: {
        scale: true
      },
      zlevel: 1
    }
  ]
};
// 基于准备好的dom，初始化echarts实例
var ec_center = echarts.init(document.getElementById('center2'),'dark');
ec_center_option&&ec_center.setOption(ec_center_option);

页面整体调用

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>数字化大屏</title>
    <link rel="stylesheet" href="../static/css/main.css">
    <script src="../static/js/jquery-3.6.0.js"></script>
    <script src="../static/js/echarts.min.js"></script>
    <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@3.6.0/map/js/china.js"></script>
    <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@3.6.0/map/js/world.js"></script>
    <script src="../static/js/bmap.min.js"></script>
    <script type="text/javascript" src="https://api.map.baidu.com/api?v=2.0&ak=你的ak"></script>
    <script src="../static/js/dark.js"></script>
    <script type="text/javascript">
        function get_time() {
            var cur_time = new Date();
            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());
            $(".time").text(str_time);
        }

        function get_c1_data() {
            $.ajax({
                url: "/get_c1_data",
                type: "post",
                success: function (data) {
                    $(".num").eq(0).text(data.total_confirmed);
                    $(".num").eq(1).text(data.remain_suspect);
                    $(".num").eq(2).text(data.total_cure);
                    $(".num").eq(3).text(data.total_dead);

                },
                error: function () {

                }
            });
        }

        $(document).ready(function () {
            get_time();
            get_c1_data();
            setInterval(get_time, 1000);
            setInterval(get_c1_data,1000);
        });
    </script>
</head>
<body>
<header class="head">
    <div class="title">
        <h1>某某公司数字化大屏</h1>
    </div>
    <div class="time"></div>
</header>
<aside class="left">
    <div id="left1" class="left1">这里是左侧边栏1</div>
    <div id="left2" class="left2">这里是左侧边栏2</div>
</aside>
<section class="center">
    <div class="center1">
        <div class="num">1123</div>
        <div class="num">234</div>
        <div class="num">1345</div>
        <div class="num">456</div>
        <div class="txt">累计生产</div>
        <div class="txt">剩余生产</div>
        <div class="txt">累计销售</div>
        <div class="txt">累计返厂</div>

    </div>
    <div class="center2" id="center2"></div>
</section>
<aside class="right">
    <div id="right1" class="right1">这里是右侧边栏1</div>
    <div id="right2" class="right2">这里是右侧边栏2</div>
</aside>
<script src="../static/js/ec_center.js" type="text/javascript"></script>
<script src="../static/js/ec_left1.js" type="text/javascript"></script>
<script src="../static/js/ec_left2.js" type="text/javascript"></script>
<script src="../static/js/ec_right1.js" type="text/javascript"></script>
<script src="../static/js/ec_right2.js" type="text/javascript"></script>
</body>
</html>

备注

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城南【作者】曾巩【朝代】宋

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一番桃李花开尽，惟有青青草色齐。

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