1、ECharts之常见配置、仪表盘(基础、镂空且导入外来图片)、环状数据(单环多数据、单环单数据、多环多数据、饼图)、折线图(不等距、双折线、上下左右分区、心电图渐变、图片右侧空白再出图片)、地图(中国、世界、经纬度)、树状图(从左到右)、拓扑图、10年经济指标、其他与问题(4800行)

附、本页关键词搜索
  A、legend-图例、鼠标悬浮-提示框
  B、覆盖原图,视觉映射组件,视觉映射组件分区,设置维度
  C、新增图形,折线图上下分区显示不同颜色,折线图左右分区显示不同颜色
  D、标记点、标记线、标记区
  E、zoom,骤变
一、常见配置
1、series
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>series</title>
      <script type="text/javascript" src="https://cdn.bootcdn.net/ajax/libs/echarts/5.3.3/echarts.js"></script>
    </head>
    <body>
      <div id="totalFlowRate" style="height:350px;width:900px"></div>
    </body>
  </html>
  <script type="text/javascript">
    var totalFlowRate = echarts.init(document.getElementById('totalFlowRate'));
    option = {
      legend: {
        show: true,
        right: 'center',
        icon: "circle",
        itemGap: 20,
        textStyle: {
          fontWeight: "bold",
          fontSize: 14,
          rich: { //定义样式或者内容
            one: {
              color:'red',
            },
          },
        },
        orient: "horizontal", //vertical
        formatter: function (name) {
          return `{one|${name}}`;
        },
      },
      tooltip: {// 鼠标悬浮-提示框
        trigger: "axis", //按组显示,默认按个显示
        textStyle: {
          fontSize: 10
        },
        formatter: function (params) {//按组显示,params是数组;按个显示,params是对象
          var result = params[0].name + '<br>' 
          params.forEach(function (item) {
            if (item.seriesType === 'bar') {
              result += item.marker + ' ' + item.seriesName + ':' + item.value + ' 分钟 <br>'
            }
          })
          return result
        },
      },
      xAxis: {
        type: 'category',
        data: ['2015', '2016', '2017', '2018', '2019', '2020', '2021'],
      },
      yAxis: {
        type: "value",
        name: "单位:分钟",
        axisLabel:{
          fontSize:10,
        },
      },
      series: [{
        type: 'bar',
        name: "name1",
        emphasis: { //本数据单独高亮
          focus: "series",
        },
        data: [10, 20, 11, 51, 31, 11, 51],
      }, {
        type: 'bar', 
        name: "name2",
        data: [30, 60, 10, 11, 41, 71, 21],
      }, {
        type: 'bar', 
        name: "name3",
        data: [40, 4, 51, 51, 21, 41, 21],
      }]
    };
    totalFlowRate.setOption(option);
  </script>
2、dataset
  <!DOCTYPE html>
  <html lang="en">
  <head>
    <meta charset="UTF-8">
    <title>dataset</title>
    <script type="text/javascript" src="https://cdn.bootcdn.net/ajax/libs/echarts/5.3.3/echarts.js"></script>
  </head>
  <body>
  <div id="totalFlowRate" style="height:350px;width:900px"></div>
  </body>
  </html>
  <script type="text/javascript">
    var totalFlowRate = echarts.init(document.getElementById('totalFlowRate'));
    option = {
      legend: {},// 图例
      tooltip: {},// 鼠标悬浮-提示框
      dataset: {
        dimensions: ['组名', 'name1', 'name2', 'name3'],//每组都包含“1个组名key”和“多个组项key”
        source: [
          ['2015', 43.3, 85.8, 93.7],//每组都包含“1个组名value”和“多个组项value”
          ['2016', 83.1, 73.4, 55.1],
          ['2017', 86.4, 65.2, 82.5],
          ['2018', 72.4, 53.9, 39.1],
          ['2019', 72.4, 53.9, 39.1],
        ],/* 
        source: [
          {'组名': 2015, 'name1': 43.3, 'name2': 85.8, 'name3': 93.7},
          {'组名': 2016, 'name1': 83.1, 'name2': 73.4, 'name3': 55.1},
          {'组名': 2017, 'name1': 86.4, 'name2': 65.2, 'name3': 82.5},
        ] */
      },
      xAxis: { type: 'category' },
      yAxis: {},
      series: [{ type: 'bar' }, { type: 'bar' }, { type: 'bar' }]
    };
    totalFlowRate.setOption(option);
  </script>
3、双y轴(含标记点、标记线,以品牌车为例)
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>品牌车</title>
      <style></style>
      <script src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
    </head>
    <body>
        <div id="carBrandChartAvgRun" style="width:1000px;height:500px;"></div>
    </body>
  </html>
  <script type="text/javascript">
    var myCarBrandAvgRunChart = echarts.init(
      document.getElementById("carBrandChartAvgRun")
    );
    var optionCarBrandAvgRun = {
      title: {
        text: "各品牌车辆运营平均情况",
        top: "top",
        left: "40%",
      },
      tooltip: {// 鼠标悬浮-提示框
        trigger: "axis",
        axisPointer: {
          type: "cross",
        },
      },
      legend: {// 图例
        x: "center",
        y: "bottom",
        data: ["里程(公里)", "时间(小时)"],
      },
      calculable: true,
      grid: {
        left: "3%",
        right: "4%",
        top: "7%",
        bottom: "15%",
        containLabel: true,
      },
      xAxis: [
        {
          axisLabel: {
            show: true,
            rotate: -45,
            textStyle: {
              fontFamily: "微软雅黑",
              fontSize: 12,
            },
          },
          type: "category",
          name: "品牌",
          data: [
            "雷萨起重机",
            "雷萨泵送",
            "欧辉",
            "奥铃",
            "欧马可",
            "时代",
            "欧曼",
          ],
        },
      ],
      yAxis: [
        {
          type: "value",
          name: "里程(公里)",
        },
        {
          type: "value",
          name: "时间(小时)",
        },
      ],
      series: [
        {
          name: "里程(公里)",
          type: "bar",
          yAxisIndex: 0 /*坐标系左侧y轴*/,
          data: [69, 1152, 668, 1414, 2437, 1675, 3154],
          itemStyle: {
            normal: {
              color: "green",
            },
          },
          markPoint: {//标记点
            data: [
              { yAxis: 69, xAxis: "雷萨起重机" },
              { yAxis: 1152, xAxis: "雷萨泵送" },
              { yAxis: 668, xAxis: "欧辉" },
              { yAxis: 1414, xAxis: "奥铃" },
              { yAxis: 2437, xAxis: "欧马可" },
              { yAxis: 1675, xAxis: "时代" },
              { yAxis: 3154, xAxis: "欧曼" },
            ],
          } /*,
          markLine: { //标记线
            data: [
              {yAxis: 69},
              {yAxis: 1152},
              {yAxis: 668},
              {yAxis: 1414},
              {yAxis: 2437},
              {yAxis: 1675},
              {yAxis: 3154}
            ]
          }*/,
        },
        {
          name: "时间(小时)",
          type: "line",
          yAxisIndex: 1 /*坐标系右侧y轴*/,
          data: [131, 41, 111, 51, 71, 171, 71],
          label: {
            normal: {
              color: "black",
              show: false,
            },
          },
          itemStyle: {
            normal: {
              color: "blue",
            },
          },
          lineStyle: {
            normal: {
              color: "yellow",
            },
          },
          markPoint: { //标记点
            data: [
              { yAxis: 131, xAxis: "雷萨起重机" },
              { yAxis: 41, xAxis: "雷萨泵送" },
              { yAxis: 111, xAxis: "欧辉" },
              { yAxis: 51, xAxis: "奥铃" },
              { yAxis: 71, xAxis: "欧马可" },
              { yAxis: 171, xAxis: "时代" },
              { yAxis: 71, xAxis: "欧曼" },
            ],
          } /*,
          markLine: { //标记线
            data: [
              {yAxis: 131},
              {yAxis: 41},
              {yAxis: 111},
              {yAxis: 51},
              {yAxis: 71},
              {yAxis: 171},
              {yAxis: 71}
            ]
          }*/,
        },
      ],
    };
    myCarBrandAvgRunChart.setOption(optionCarBrandAvgRun);
  </script>

二、仪表盘
1、基本使用
  <!DOCTYPE html>
  <html lang="en">
    <head>
        <meta charset="UTF-8">
        <title>Echarts仪表盘效果</title>
        <script type="text/javascript" src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
    </head>
    <body>
        <div id="totalFlowRate" style="height:506px;width:1006px"></div>
    </body>
  </html>
  <script type="text/javascript">
    var totalFlowRate = echarts.init(document.getElementById("totalFlowRate"));
    var option = {
      tooltip: {// 鼠标悬浮-提示框
        formatter: "{a} <br/>{b} : {c}%",
      },
      series: [
        {
          name: "业务指标",
          type: "gauge", //环形进度表
          detail: { formatter: "{value}%" },
          splitNumber: 10 /*默认值为10*/,
          axisLine: {
            //仪表盘轴线样式,轴线指的就是那个圆圈
            lineStyle: {
              color: [
                /*指针的颜色默认和它指向的区域颜色是一样的*/
                [0, ""] /*圆圈0%处为黑色*/,
                [0.2, "gray"] /*圆圈0%-20%之间为灰色*/,
                [0.4, "blue"] /*圆圈20%-40%之间为蓝色*/,
                [0.6, "green"] /*圆圈40%-60%之间为绿色*/,
                [0.8, "brown"] /*圆圈60%-80%之间为棕色*/,
                [1, "red"] /*圆圈80%-100%之间为红色*/,
              ],
              width: 30 /*默认值为30*/,
            },
          },
          data: [{ value: 70, name: "完成率" }],
        },
      ],
    };
    totalFlowRate.setOption(option);
  </script>
2、镂空且导入外来图片
  镂空效果实现思路:三图叠加
   (1)仪表盘,画出仪表盘;
   (2)饼图一,从仪表盘左界开始,顺时针用绿色填充仪表盘整个显示区,用透明填充仪表盘下方空白;
   (3)饼图二,从仪表盘右界开始,逆时针用白色填充仪表盘部分显示区(这个计算过程较为复杂),用透明填充整个圆环的其它部分;
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>Echarts仪表盘</title>
      <script type="text/javascript" src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
    </head>
    <body>
      <div id="totalFlowRate" style="height:500px;width:500px"></div>
    </body>
  </html>
  <script type="text/javascript">
    var totalFlowRate = echarts.init(document.getElementById("totalFlowRate"));
    var option = {
      series: [
        {
          type: "gauge", //环形进度表
          radius: "80%",
          min: 0,
          max: 100,
          detail: {
            formatter: "{value}℃",
            color: "#000",
            fontWeight: "bold",
          },
          title: {
            offsetCenter: [0, "80%"],
          },
          splitNumber: 10 /*默认值为10*/,
          axisLabel: {
            formatter: "{value}",
            color: "#888",
            distance: -65 /*当取负值时,刻度值在圆圈外;当取正值时,刻度值在圆圈内;*/,
            fontSize: 15,
          },
          axisLine: {
            //仪表盘轴线样式,轴线指的就是那个圆圈
            lineStyle: {
              color: [
                /*指针的颜色默认和它指向的区域颜色是一样的*/
                [0, ""] /*圆圈0%处为黑色*/,
                [0.2, "gray"] /*圆圈0%-20%之间为灰色*/,
                [0.4, "blue"] /*圆圈20%-40%之间为蓝色*/,
                [0.6, "green"] /*圆圈40%-60%之间为绿色*/,
                [0.8, "brown"] /*圆圈60%-80%之间为棕色*/,
                [1, "red"] /*圆圈80%-100%之间为红色*/,
              ],
              width: 0 /*圆圈的宽度,默认值为30。为了不干扰三图叠加效果的实现,在这里把圆圈的宽度设为0;正常情况下,此处不应该为0;*/,
            },
          },
          splitLine: {
            show: false,
          },
          axisTick: {
            show: false,
            length: 5,
          },
          data: [
            {
              value: 88,
              name: "CPU温度",
            },
          ],
        },
        {
          type: "pie", //饼图
          radius: ["70%", "80%"],
          startAngle: 225 /*这是仪表盘绿色左侧所在角度。绿色顺时针铺满整个圆周的75/100,剩下的透明*/,
          color: ["green", "transparent"], //从225度开始,顺时针,整个圆周的[75/100为"绿色",25/100为"透明"],可以把 'transparent'换成'blue',来看它的影响范围
          hoverAnimation: false,
          clockwise: true /*饼图的扇区为顺时针排布。默认为顺时针true*/,
          label: {
            normal: {
              show: false,
              position: "center",
            },
          },
          data: [
            {
              value: 75 / 100,
            },
            {
              value: 25 / 100,
            },
          ],
        },
        {
          type: "pie", //饼图
          radius: ["71%", "79%"],
          startAngle: 317 /*这是仪表盘白色右侧所在角度。顺时针铺满整个圆周的(266/360)*((100-88)/100),剩下的透明*/,
          color: ["white", "transparent"], //从317度开始,逆时针,整个圆周的[(266/360)*((100-88)/100)为"白色",1-(266/360)*((100-88)/100)为"透明"],可以把 'transparent'换成'black',来看它的影响范围
          hoverAnimation: false,
          clockwise: false /*饼图的扇区为逆时针排布。默认为顺时针true*/,
          itemStyle: {
            /*鼠标放在仪表盘上方可填充区域时,不会闪烁*/
            normal: {
              borderColor: "transparent" /*本层用71%-79%的白色覆盖在下层70%-80%绿色上,下层的绿色轮廓露出*/,
              borderWidth: 10,
            },
          },
          data: [
            {
              value: (266 / 360) * ((100 - 88) / 100),
            },
            {
              value: 1 - (266 / 360) * ((100 - 88) / 100),
            },
          ],
        },
      ],
      graphic: {
        $action: "replace", // 5 === 5 ? 'remove' : 'replace',
        type: "image",
        id: "logo",
        left: "center",
        top: 130,
        bounding: "raw",
        style: {
          image: "https://shadow.elemecdn.com/app/element/hamburger.9cf7b091-55e9-11e9-a976-7f4d0b07eef6.png",
          width: 152,
          height: 96,
          opacity: 0.8,
        },
      },
    };
    totalFlowRate.setOption(option);
  </script>

三、环状数据(含饼图)
1、单环多数据
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>Echarts环状图效果</title>
      <script type="text/javascript" src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
    </head>
    <body>
      <div id="totalFlowRate" style="height:700px;width:950px"></div>
    </body>
  </html>
  <script type="text/javascript">
    var totalFlowRate = echarts.init(document.getElementById('totalFlowRate'));
    var totalFlowRateOption = {
      title: {
        text: "流量来源",
        top: "top",
        left: "40%"
      },
      tooltip: { // 鼠标悬浮-提示框
        trigger: 'item',
        formatter: "{a} <br/>{b}: {c} ({d}%)"
      },
      legend: { // 图例
        orient: 'vertical',
        x: 'left',
        data: ['直接访问', '邮件营销', '联盟广告', '视频广告', '搜索引擎']
      },
      series: [{
        name: '访问来源',
        type: 'pie',
        radius: ['20%', '30%'],
        itemStyle: {
          normal: {
            borderColor: '#fff',
            borderWidth: 2,
            label: {
              show: true,
              position: 'outer',
              fontSize: 15,
              formatter: "{d}%\n{b}",
              align: 'right'
            },
            labelLine: {
              length: 60,
              length2: 60,
              lineStyle: {
                width: 2,
                type: 'solid'
              }
            }
          }
        },
        data: [{
            value: 335,
            name: '直接访问'
          },
          {
            value: 310,
            name: '邮件营销'
          },
          {
            value: 234,
            name: '联盟广告'
          },
          {
            value: 135,
            name: '视频广告'
          },
          {
            value: 1548,
            name: '搜索引擎'
          }
        ]
      }]
    };
    totalFlowRate.setOption(totalFlowRateOption);
  </script>
2、单环单数据
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>Echarts环状图效果</title>
      <script type="text/javascript" src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
    </head>
    <body>
        <div id="totalFlowRate" style="height:106px;width:106px"></div>
    </body>
  </html>
  <script type="text/javascript">
    var totalFlowRate = echarts.init(document.getElementById('totalFlowRate'));
    var labelTop = {
      normal: {
        color: 'green',
        label: {
          show: true,
          color: 'blue',
          position: 'center',
          formatter: '{c}\n{b}'
        },
        labelLine: {
          show: false
        }
      }
    };
    var labelBottom = {
      normal: {
        color: 'red',
        label: {
          show: false
        },
        labelLine: {
          show: false
        }
      }
    };
    var option = {
      animation: false,
      /*
      本来itemStyle在此处统一设置,但因本实例的两个itemStyle风格不一致,所以只能在series[0].data里分别设置
      */
      series: [{
        type: 'pie',
        startAngle: 270,
        center: ['50%', '50%'],
        radius: [40, 50],
        data: [{
            name: 'GoogleMaps',
            value: 150,
            itemStyle: labelTop
          },
          {
            name: 'other',
            value: 50,
            itemStyle: labelBottom
          }
        ]
      }]
    };
    totalFlowRate.setOption(option);
  </script>
3、多环多数据
  var totalFlowRate = echarts.init(document.getElementById('totalFlowRate'));
  var labelFromatter = {
    normal: {
      label: {
        formatter: function(params) {
          return 100 - params.value + '%'
        },
        textStyle: {
          baseline: 'top'
        }
      }
    },
  };
  var labelTop = {
    normal: {
      label: {
        show: true,
        position: 'center',
        formatter: '{b}',
        textStyle: {
          baseline: 'bottom'
        }
      },
      labelLine: {
        show: false
      }
    }
  };
  var labelBottom = {
    normal: {
      color: '#ccc',
      label: {
        show: true,
        position: 'center'
      },
      labelLine: {
        show: false
      }
    },
    emphasis: {
      color: 'rgba(0,0,0,0)'
    }
  };
  var radius = [40, 55];
  option = {
    legend: { // 图例
      x: 'left',
      y: 'top',
      data: [
        'GoogleMaps', 'Facebook'
      ]
    },
    series: [{
        type: 'pie',
        center: ['10%', '30%'],
        radius: radius,
        x: '0%', // for funnel
        itemStyle: labelFromatter,
        data: [{
            name: 'other',
            value: 46,
            itemStyle: labelBottom
          },
          {
            name: 'GoogleMaps',
            value: 54,
            itemStyle: labelTop
          }
        ]
      },
      {
        type: 'pie',
        center: ['30%', '30%'],
        radius: radius,
        x: '20%', // for funnel
        itemStyle: labelFromatter,
        data: [{
            name: 'other',
            value: 56,
            itemStyle: labelBottom
          },
          {
            name: 'Facebook',
            value: 44,
            itemStyle: labelTop
          }
        ]
      }
    ]
  };
  totalFlowRate.setOption(option);
4、饼图效果
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>饼图效果</title>
      <script type="text/javascript" src="https://cdn.bootcss.com/jquery/1.9.1/jquery.js"></script>
      <script type="text/javascript" src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
    </head>
    <body>
      <div style="position: relative;height:302px;width:402px;display: inline-block;margin-right: 100px;">
        <div style="position: absolute;left:0;height:300px;width:400px;border:1px solid gray" id="deviceFlowRatio"></div>
        <div style="position: absolute;right:5px;top:5px;z-index: 2">
          <select id="select" style="display: inline-block;font-size: 20px;padding: 5px;border:1px solid gray;">
            <option style="font-size: 20px;" value="最近一小时">最近一小时</option>
            <option style="font-size: 20px;" value="最近一天">最近一天</option>
            <option style="font-size: 20px;" value="最近一周">最近一周</option>
          </select>
        </div>
      </div>
    </body>
  </html>
  <script type="text/javascript">
    var deviceFlowRatioArray = [50, 13, 12, 25];
    var deviceFlowRatio = echarts.init(document.getElementById('deviceFlowRatio'));
    var deviceFlowRatioOption = {
      title: {
        text: '设备流量占比',
        x: '10%'
      },
      legend: { // 图例
        orient: 'vertical',
        itemGap: 20,
        x: '70%',
        y: '40%',
        data: ['DCS', 'PLC', 'SCAD', '其它'],
        formatter: function(name) {
          var deviceFlowRatioArrayTotal = 0;
          var deviceFlowRatioArrayValue = 0;
          for (var i = 0; i < deviceFlowRatioArray.length; i++) {
            deviceFlowRatioArrayTotal += deviceFlowRatioArray[i];
          }
          switch (name) {
            case "DCS":
              deviceFlowRatioArrayValue = deviceFlowRatioArray[0] / deviceFlowRatioArrayTotal * 100 + "%";
              break;
            case "PLC":
              deviceFlowRatioArrayValue = deviceFlowRatioArray[1] / deviceFlowRatioArrayTotal * 100 + "%";
              break;
            case "SCAD":
              deviceFlowRatioArrayValue = deviceFlowRatioArray[2] / deviceFlowRatioArrayTotal * 100 + "%";
              break;
            case "其它":
              deviceFlowRatioArrayValue = deviceFlowRatioArray[3] / deviceFlowRatioArrayTotal * 100 + "%";
              break;
          }
          return name + "   " + deviceFlowRatioArrayValue;
        }
      },
      series: [{
        type: 'pie',
        radius: '70%',
        center: ['35%', '50%'],
        itemStyle: {
          normal: {
            label: {
              show: false
            },
            labelLine: {
              show: false
            }
          }
        },
        data: [{
            value: deviceFlowRatioArray[0],
            name: 'DCS'
          },
          {
            value: deviceFlowRatioArray[1],
            name: 'PLC'
          },
          {
            value: deviceFlowRatioArray[2],
            name: 'SCAD'
          },
          {
            value: deviceFlowRatioArray[3],
            name: '其它'
          }
        ]
      }],
      color: ['#ca8622', '#bda29a', '#6e7074', '#546570', '#c4ccd3']
    };
    deviceFlowRatio.setOption(deviceFlowRatioOption);
    var beforeTime = 0;
    $("#select")
      .click(function() {
        if (beforeTime == 0) {
          beforeTime = 1;
          return false;
        } else {
          beforeTime = 0;
          console.log("此处写逻辑");
        }
      });
  </script>
  
四、折线图
附、visualMap
  来源,https://echarts.apache.org/zh/option.html#visualMap
 (1)是视觉映射组件,用于进行『视觉编码』,也就是将数据映射到视觉元素(视觉通道)
 (2)组件可以定义多个,从而可以同时对数据中的多个维度进行视觉映射,visualMap数组的1项就是1个组件
 (3)每个组件可以定义为分段型(visualMapPiecewise)或连续型(visualMapContinuous),通过type来区分
1、不等距折线图
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="utf-8">
      <title>不等距</title>
      <script src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
    </head>
    <body>
      <div id="main" style="height:400px"></div>
    </body>
  </html>
  <script type="text/javascript">
    function addZero(number) {
      return number.toString()[1] ? number : "0" + number;
    }
    var myChart = echarts.init(document.getElementById("main"));
    var index = 1;
    var option = {
      legend: {// 图例
        data: ["随机数值"],
      },
      xAxis: [
        {
          axisLabel: {
            formatter: function (params) {
              var date = new Date(params);
              var time = addZero(date.getHours()) + ":00";
              if (time === "00:00" && index === 2) {
                time = "24:00";
              }
              if (time === "00:00" && index === 1) {
                index = 2;
              }
              return time;
            },
          },
          type: "time",
          min: new Date(2017, 9, 1, 0, 0, 0),
          max: new Date(2017, 9, 2, 0, 0, 0),
          splitNumber: 16 /*X轴上包含原点在内的值的个数,当该值不能使“显示范围”在X轴“整数等分”时,该值不起作用*/,
        },
      ],
      yAxis: [
        {
          type: "value",
          min: 0,
          max: 11,
        },
      ],
      series: [
        {
          name: "随机数值",
          type: "line",
          data: (function () {
            var timeAndData = [];
            for (var i = 0; i < 24; i++) {
              var timeDate = new Date(
                2017,
                9,
                1,
                i,
                (Math.random() * 60).toFixed(0),
                0
              );
              var randomNum = (Math.random() * 10).toFixed(2);
              timeAndData.push([timeDate, randomNum]);
            }
            return timeAndData;
          })(),
        },
      ],
    };
    myChart.setOption(option);
  </script>
2、双折线
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>双折线与上下tooltip颜色一致</title>
      <script type="text/javascript" src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
    </head>
    <body>
      <div id="totalFlowRate" style="height:700px;"></div>
    </body>
  </html>
  <script type="text/javascript">
    var totalFlowRate = echarts.init(document.getElementById("totalFlowRate"));
    var arr = [
      '20240412130900', '20240412131000', '20240412131100', '20240412131200','20240412131300', '20240412131400',
      '20240412131500', '20240412131600','20240412131700', '20240412131800', '20240412131900', '20240412132000',
      '20240412132100', '20240412132200', '20240412132300', '20240412132400','20240412132500', '20240412132600', 
      '20240412132700', '20240412132800','20240412132900', '20240412133000', '20240412133100', '20240412133200',
      '20240412133300', '20240412133400', '20240412133500', '20240412133600','20240412133700', '20240412133800', 
      '20240412133900', '20240412134000','20240412134100', '20240412134200', '20240412134300', '20240412134400',
      '20240412134500', '20240412134600', '20240412134700', '20240412134800','20240412134900', '20240412135000', 
      '20240412135100', '20240412135200','20240412135300', '20240412135400', '20240412135500', '20240412135600',
      '20240412135700', '20240412135800', '20240412135900', '20240412140000','20240412140100', '20240412140200', 
      '20240412140300', '20240412140400','20240412140500', '20240412140600', '20240412140700', '20240412140800',
      '20240412140900', '20240412141000', '20240412141100', '20240412141200','20240412141300', '20240412141400', 
      '20240412141500', '20240412141600','20240412141700', '20240412141800', '20240412141900', '20240412142000',
      '20240412142100', '20240412142200', '20240412142300', '20240412142400','20240412142500', '20240412142600', 
      '20240412142700', '20240412142800','20240412142900', '20240412143000', '20240412143100', '20240412143200',
      '20240412143300', '20240412143400', '20240412143500', '20240412143600','20240412143700', '20240412143800', 
      '20240412143900', '20240412144000','20240412144100', '20240412144200', '20240412144300', '20240412144400',
      '20240412144500', '20240412144600', '20240412144700', '20240412144800',
    ];
    var lineData = [];
    for(var i=0;i<100;i++){
      var data = {
        plays: (Math.random() * 100).toFixed(0),
        logTime: arr[i],
        attemp: (Math.random() * 100).toFixed(0),
      }
      lineData.push(data)
    }
    var dates = [];
    var values = [];
    var plays = [];
    lineData.forEach((item) => {
      dates.push(item.logTime);
      plays.push(item.plays);
      values.push(item.attemp);
    });
    var option = {
      tooltip: {// 鼠标悬浮-提示框
        trigger: "axis",
        axisPointer: {
          animation: false,
        },
        formatter: function (param) {
          var temp;
          if(param[0].axisIndex == 1){
            temp = param[0];
            param[0] = param[1];
            param[1] = temp
          }
          return [
            param[0].name.substring(0, 4)+'-'+param[0].name.substring(4, 6)+'-'+param[0].name.substring(6, 8)+'  '+ 
            param[0].name.substring(8, 10)+':'+param[0].name.substring(10, 12)+':'+param[0].name.substring(12, 14) + '<br/>',
            param[0].marker,
            param[0].seriesName +'  ',
            param[0].value + '<br/>'+ '<br/>',
            param[1].name.substring(0, 4)+'-'+param[1].name.substring(4, 6)+'-'+param[1].name.substring(6, 8)+'  '+ 
            param[1].name.substring(8, 10)+':'+param[1].name.substring(10, 12)+':'+param[1].name.substring(12, 14) + '<br/>',
            param[1].marker,
            param[1].seriesName +'  ',
            param[1].value + '<br/>',
          ].join('');
        }
      },
      toolbox: {
        feature: {
          dataZoom: { //数据区域缩放
            yAxisIndex: "none",
          },
          restore: {},
          saveAsImage: {},
        },
      },
      axisPointer: {
        link: { xAxisIndex: "all" },
      },
      dataZoom: [
        { 
          type: 'slider', //通过-拖动图外滑动块-伸缩(默认值slider)
          //以下,本项独有
          top: 40, //滑块整体位置
          show: true, //是否显示滑块(默认值true)
          xAxisIndex: [0, 1], //对第1、2个X轴有效
          // 以下配置覆盖第2项的相同配置
          start: 2, //滑块开始位置
          end: 90, //滑块结束位置
          realtime: true, //开启实时更新(默认值true)
          labelFormatter: function (value) {
            return dates[value].substring(8, 10) + ":" + dates[value].substring(10, 12);
          },
        },
        {
          type: "inside", //通过-滚动图内鼠标滚轮-伸缩
          xAxisIndex: [0, 1], //对第1、2个X轴有效
        },
      ],
      grid: [
        {
          left: 100,
          right: 50,
          height: "15%",
          top: "100",
        },
        {
          left: 100,
          right: 50,
          top: "55%",
          height: "35%",
        },
      ],
      xAxis: [
        {
          type: "category",
          boundaryGap: false,
          axisLine: { onZero: true },
          data: dates,
          axisLabel: {
            rotate: -45,
            interval: 10,//x轴标签间隔
            formatter: (item) => {
              return (
                item.substring(8, 10) + ":" + item.substring(10, 12)
              );
            },
          },
        },
        {
          gridIndex: 1,
          type: "category",
          boundaryGap: false,
          axisLine: { onZero: true },
          data: dates,
          axisLabel: {
            rotate: -45,
            interval: 10,
            formatter: (item) => {
              return (
                item.substring(8, 10) + ":" + item.substring(10, 12)
              );
            },
          },
        },
      ],
      yAxis: [
        {
          type: "value",
          name: "plays",
          nameLocation: "middle",
          splitNumber: 3,
          nameGap: 80,
          nameRotate: 90,
        },
        {
          gridIndex: 1,
          name: "attemp",
          nameLocation: "middle",
          type: "value",
          nameGap: 80,
          name: "attemp",
        },
      ],
      series: [
        {
          name: "plays",
          type: "line",
          symbolSize: 0,
          hoverAnimation: false,
          data: plays,
        },
        {
          name: "attemp",
          type: "line",
          xAxisIndex: 1,
          yAxisIndex: 1,
          symbolSize: 0,
          hoverAnimation: false,
          data: values,
        },
      ],
    };
    totalFlowRate.setOption(option);
  </script>
3、折线图上下分区显示不同颜色(区别于渐变)
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>上下分区设置不同颜色</title>
      <script src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
    </head>
    <body>
      <div id="totalFlowRate" style="height:600px;width:1900px;"></div>
    </body>
  </html>
  <script type="text/javascript">
    const myChart = echarts.init(document.getElementById('totalFlowRate'));
    const data = [
      ["2000-06-05", 116], ["2000-06-06", 129], ["2000-06-07", 135], ["2000-06-08", 86], ["2000-06-09", 273], 
      ["2000-06-10", 85], ["2000-06-11", 3], ["2000-06-12", 338], ["2000-06-13", 92], ["2000-06-14", 130], 
      ["2000-06-15", 245], ["2000-06-16", 139], ["2000-06-17", 115], ["2000-06-18", 111], ["2000-06-19", 339], 
      ["2000-06-20", 206], ["2000-06-21", 7], ["2000-06-22", 128], ["2000-06-23", 85], ["2000-06-24", 194],
      ["2000-06-25", 71], ["2000-06-26", 106], ["2000-06-27", 84], ["2000-06-28", 293], ["2000-06-29", 185], 
      ["2000-06-30", 73], ["2000-07-01", 83], ["2000-07-02", 125], ["2000-07-03", 107], ["2000-07-04", 82], 
      ["2000-07-05", 44], ["2000-07-06", 2], ["2000-07-07", 106], ["2000-07-08", 107], ["2000-07-09", 266], 
      ["2000-07-10", 91], ["2000-07-11", 92], ["2000-07-12", 113], ["2000-07-13", 107], ["2000-07-14", 131], 
      ["2000-07-15", 111], ["2000-07-16", 164], ["2000-07-17", 209], ["2000-07-18", 8], ["2000-07-19", 177], 
      ["2000-07-20", 83], ["2000-07-21", 111], ["2000-07-22", 57], ["2000-07-23", 255], ["2000-07-24", 330]
    ];
    const dateList = data.map(function (item) {
      return item[0];
    });
    const valueList = data.map(function (item) {
      return item[1];
    });
    const option = { 
      visualMap: [//视觉映射组件;覆盖原图
        {
          type: 'piecewise',
          min: 0,
          max: 350,
          pieces: [//视觉映射组件分区,折线图上下分区显示不同颜色
            { min : 110 , max : 210 , color : 'green' },
            { min : 0 , max : 110 , color : 'red' },
          ],
          outOfRange: {
            color: "blue"
          },
          top: 10,//图例位置
          right: 10,
        }
      ],
      title: [
        {
          left: 'center',
          text: '上下分区设置不同颜色'
        },
      ],
      tooltip: {
        trigger: 'axis'
      },
      xAxis: [
        {
          data: dateList,
          gridIndex: 0
        }
      ],
      yAxis: [
        {
          gridIndex: 0
        }
      ],
      grid: [
        {
          bottom: '10%'
        },
      ],
      series: [
        {
          type: 'line',
          showSymbol: false,//是否显示数据圆点
          data: valueList,
          markLine : { //标记线
            silent: false, //图形是否不响应和触发鼠标事件,默认为false,即响应和触发鼠标事件
            lineStyle: {
              color: '#333'
            },
            symbol: 'none', //是否显示箭头
            //symbol: ['arrow', 'none'], 
            data: [
              {
                type: 'average', 
                name: '平均值', 
              },
              {
                yAxis: 110
              },
              {
                yAxis: 210
              },
            ]
          },
        },
      ]
    };
    myChart.setOption(option)
  </script>
4、折线图左右分区显示不同颜色(区别于渐变)
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>左右分区显示不同颜色</title>
      <script src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
    </head>
    <body>
      <div id="totalFlowRate" style="height:600px;width:1900px;"></div>
    </body>
  </html>
  <script type="text/javascript">
    const myChart = echarts.init(document.getElementById('totalFlowRate'));
    const option = {
      tooltip: {
        trigger: 'axis',
        axisPointer: {
          type: 'cross'
        }
      },
      xAxis: {
        type: 'category',
        boundaryGap: false,
        data: [
          '00:00', '01:15', '02:30', '03:45', '05:00', '06:15', '07:30', '08:45', '10:00', '11:15', 
          '12:30', '13:45', '15:00', '16:15', '17:30', '18:45', '20:00', '21:15', '22:30', '23:45'
        ]
      },
      yAxis: {
        type: 'value',
        axisLabel: {
          formatter: '{value} W'
        },
        axisPointer: {
          snap: true
        }
      },
      visualMap: { //视觉映射组件;覆盖原图
        show: false,
        dimension: 0, //设置维度,
        //0,用pieces的颜色(如果起始位置不能覆盖整个坐标轴,那么折线就显示不全),
        //1,用界外颜色(如果数组的最后1项有最大值,那么就没有界外颜色,折线就不显示),
        //其它,用默认颜色(红色)
        pieces: [//视觉映射组件分区,折线图左右分区显示不同颜色
          {
            gt: 0,//x轴第0个单位开始
            lte: 5,//x轴第5个单位结束
            color: 'green'
          },
          {
            gt: 5,
            lte: 10,
            color: 'blue'
          },
          {
            gt: 10,
            lte: 15,
            color: 'gray'
          },
          {
            gt: 15,
            color: 'yellow'
          }
        ]
      },
      series: [
        {
          name: '用电量',
          type: 'line',
          // smooth: true,
          data: [
            300, 280, 250, 260, 270, 300, 550, 500, 400, 390, 
            380, 390, 400, 500, 600, 750, 800, 700, 600, 400
          ],
          markArea: { //标记区
            itemStyle: {
              color: 'black'
            },
            data: [
              [
                {
                  name: '第一区',
                  xAxis: '07:30'
                },
                {
                  xAxis: '10:00'
                }
              ],
              [
                {
                  name: '第二区',
                  xAxis: '17:30'
                },
                {
                  xAxis: '20:00'
                }
              ]
            ]
          }
        },
      ]
    };
    myChart.setOption(option)
  </script>
5、折线图渐变-心电图
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>Echarts实现心电图效果</title>
      <script src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
    </head>
    <body>
      <div id="totalFlowRate" style="height:300px;"></div>
    </body>
  </html>
  <script type="text/javascript">
    var totalFlowRate = echarts.init(document.getElementById('totalFlowRate'));
    var xAxisData = [];
    var yAxisData = [];
    for (var i = 1000; i > 0; i--) {
      xAxisData.push(i + "秒前");
    }
    for (i = 1; i < 1001; i++) {
      yAxisData.push(Math.round(Math.random() * 1000));
    }
    yAxisData.push(Math.round(Math.random() * 1000));
    yAxisData.shift();
    var totalFlowRateOption = {
      backgroundColor: 'gray', //背景颜色
      animation: false,
      title: {
        text: '总流量(kbps)',
        /*left:"110px"*/
      },
      tooltip: { // 鼠标悬浮-提示框
        trigger: 'axis',
        axisPointer: {
          type: 'cross'
        }
      },
      grid: {
        left: 50 /*"50px"*/ ,
        right: 15 /*"15px"*/
      },
      legend: { // 图例
        data: ['当前流量'],
        textStyle: {
          color: "#66b3ff"
        } /*图例(legend)说明文字的颜色*/
      },
      xAxis: {
        boundaryGap: false,
        data: xAxisData,
        splitLine: {
          show: true
        } /*网格线*/
      },
      yAxis: {
        boundaryGap: false,
        splitLine: {
          show: true
        } /*网格线*/
      },
      series: {
        itemStyle: {
          normal: {
            lineStyle: {
              color: '#92c2ff' /*折线的颜色*/
            },
            color: "#66b3ff" /*悬停图例的颜色,不是图例说明文字的颜色*/
          }
        },
        areaStyle: {
          normal: {
            color: new echarts.graphic.LinearGradient( // 轮廓填充色-渐变
              0, 0, 0, 1,
              [{
                  offset: 0,
                  color: '#66b3ff'
                },
                /* {offset: 0.5, color: '#c4e1ff'},*/
                {
                  offset: 1,
                  color: '#ecf5ff'
                }
              ]
            )
          }
        },
        symbol: "none",
        /*去掉小圆点,默认值为"emptyCircle",即空心圆环*/
        name: '当前流量',
        type: 'line',
        data: yAxisData,
        /*smooth:true//显示为平滑的曲线*/
      }
    };
    totalFlowRate.setOption(totalFlowRateOption);
    totalFlowRate.getZr()
      .on('mousemove', function(params) {
        var pointInPixel = [params.offsetX, params.offsetY];
        if (totalFlowRate.containPixel('grid', pointInPixel)) {
          totalFlowRateOption.backgroundColor = '#F6F8FC';
          totalFlowRate.setOption(totalFlowRateOption);
        }
      });
    totalFlowRate.getZr()
      .on('mouseout', function(params) {
        var pointInPixel = [params.offsetX, params.offsetY];
        if (!totalFlowRate.containPixel('grid', pointInPixel)) {
          totalFlowRateOption.backgroundColor = '#ffffff';
          totalFlowRate.setOption(totalFlowRateOption);
        }
      });
    setInterval(function() {
      yAxisData.push(Math.round(Math.random() * 1000));
      yAxisData.shift();
      totalFlowRate.setOption(totalFlowRateOption);
    }, 100);  
  </script>
6、折线图-图片右侧空白再出图片
  <!DOCTYPE html>
  <html lang="en" ng-app="myModel">
    <head>
      <meta charset="UTF-8">
      <title>图片右侧空白再出图片</title>
      <script src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
      <script src="https://cdn.bootcss.com/jquery/1.9.1/jquery.js"></script>
      <script src="https://cdn.bootcss.com/angular.js/1.6.2/angular.js"></script>
    </head>
    <body>
      <div ng-controller="firstCtrl">
        <div style="width:100%;display:flex;">
          <div style="width:50%;display:flex;flex-direction:column;" id="left"></div>
          <div style="width:50%;display:flex;flex-direction:column;" id="right"></div>
        </div>
      </div> 
    </body> 
  </html>
  <script> 
    var app = angular.module("myModel", []);
    app.controller("firstCtrl", function ($scope, $compile, $rootScope) {
      var array = [0, 0, 0, 0];
      angular.element("#left").empty();
      for (var j = 0; j < array.length; j++) {
        angular
          .element("#left")
          .append(
            $compile(
              angular.element(
                '<div id="left' + j + '" style="width:100%;height:200px;"> <div>'
              )
            )(angular.extend($rootScope.$new()))
          );
        eval(
          "var totalFlowRate" +
            j +
            '= echarts.init(document.getElementById("left' +
            j +
            '"))'
        );
      }
      var xAxisData = [];
      var yAxisData = [];
      for (var i = 100; i > 0; i--) {
        xAxisData.push(i + "秒前");
      }
      for (i = 1; i < 101; i++) {
        yAxisData.push(Math.round(Math.random() * 1000));
      }
      yAxisData.push(Math.round(Math.random() * 1000));
      yAxisData.shift();
      var fullOption = {
        backgroundColor: "#ffffff",
        animation: false,
        title: {
          bottom: "150px",
          text: "",
          textStyle: {
            fontWeight: "lighter",
            fontSize: "14px",
          },
        },
        tooltip: {// 鼠标悬浮-提示框
          trigger: "axis",
          axisPointer: {
            type: "cross",
          },
        },
        grid: {
          left: 50,
          right: 15,
        },
        legend: {// 图例
          /*  
          data: ['当前流量'],
          textStyle: { color: '#66b3ff' } */
          /*图例(legend)说明文字的颜色
          */
        },
        xAxis: {
          boundaryGap: false,
          data: xAxisData,
          splitLine: { show: true } /*网格线*/,
        },
        yAxis: {
          boundaryGap: false,
          splitLine: { show: true } /*网格线*/,
        },
        series: {
          itemStyle: {
            normal: {
              lineStyle: {
                color: "#92c2ff" /*折线的颜色*/,
              },
              color: "#66b3ff" /*悬停图例的颜色,不是图例说明文字的颜色*/,
            },
          },
          areaStyle: {
            normal: {
              //color: 'red',// 轮廓填充色-普通,
              color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [// 轮廓填充色-渐变
                { offset: 0, color: "#66b3ff" },
                {offset: 0.5, color: '#c4e1ff'},
                { offset: 1, color: "#ecf5ff" },
              ]),
            },
          },
          symbol: "none", /* 去掉小圆点;默认值为"emptyCircle",即空心圆环;设为"circle",是实心圆点 */
          name: "当前流量",
          type: "line",
          data: yAxisData /*,
          smooth:true//显示为平滑的曲线*/,
        },
      };
      //无节流,无bug
      var title = [
        "总流量(kbps)1",
        "总流量(kbps)2",
        "总流量(kbps)3",
        "总流量(kbps)4",
        "总流量(kbps)5",
      ];
      for (var jj = 0; jj < array.length; jj++) {
        eval("var fullOption" + jj + "=angular.copy(fullOption)");
        eval("fullOption" + jj + ".title.text = title[jj]");
        eval("totalFlowRate" + jj).setOption(eval("fullOption" + jj));
        eval("totalFlowRate" + jj)
          .getZr()
          .on("mousemove", function () {
            var index = this.painterRoot.id.replace("left", "");
            eval("fullOption" + index).backgroundColor = "#F6F8FC";
            eval("totalFlowRate" + index).setOption(eval("fullOption" + index));
            angular.element("#right").empty();
            for (var j = 10; j < array.length + 11; j++) {
              angular
                .element("#right")
                .append(
                  $compile(
                    angular.element(
                      '<div id="right' +
                        j +
                        '" style="width:100%;height:200px;"> <div>'
                    )
                  )(angular.extend($rootScope.$new()))
                );
              eval(
                "var totalFlowRate" +
                  j +
                  '= echarts.init(document.getElementById("right' +
                  j +
                  '"))'
              );
            }
            //此处向后台发送请求:开始
            $scope.sendserver = function () {
              for (var jj = 10; jj < array.length + 11; jj++) {
                eval("var fullOption" + jj + "=angular.copy(fullOption)");
                eval("fullOption" + jj).title.text = title[jj - 10];
                eval("fullOption" + jj).backgroundColor = "#F6F8FC";
                eval("totalFlowRate" + jj).setOption(eval("fullOption" + jj));
              }
            };
            $scope.sendserver();
            //此处向后台发送请求:结束
          });
        eval("totalFlowRate" + jj)
          .getZr()
          .on("mouseout", function () {
            var index = this.painterRoot.id.replace("left", "");
            eval("fullOption" + index).backgroundColor = "#ffffff";
            eval("totalFlowRate" + index).setOption(eval("fullOption" + index));
            angular.element("#right").empty();
          });
      }
    });
  </script>

五、地图
1、中国地图
  /* 
  import chinaGeo from "@/vendor/china.js";
  echarts.registerMap("china", chinaGeo);
  */
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>dataset</title>
      <script type="text/javascript" src="https://cdn.bootcdn.net/ajax/libs/echarts/5.3.3/echarts.js"></script>
      <script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts/map/js/china.js"></script>
    </head>
    <body>
      <div id="totalFlowRate" style="height: 900px; width: 1200px; border: 1px solid green"></div>
    </body>
  </html>
  <script>
    var totalFlowRate = echarts.init(document.getElementById('totalFlowRate'));
    var data = [
      { "name": "广东", "value": 66020 }, { "name": "江苏", "value": 45092 },
      { "name": "山东", "value": 41886 }, { "name": "河南", "value": 36905 },
      { "name": "浙江", "value": 32555 }, { "name": "北京", "value": 31695 },
      { "name": "湖北", "value": 26450 }, { "name": "河北", "value": 25558 },
      { "name": "四川", "value": 24219 }, { "name": "安徽", "value": 22135 },
      { "name": "辽宁", "value": 22035 }, { "name": "福建", "value": 21811 },
      { "name": "广西", "value": 21746 }, { "name": "陕西", "value": 19572 },
      { "name": "上海", "value": 19350 }, { "name": "湖南", "value": 18000 },
      { "name": "山西", "value": 17009 }, { "name": "江西", "value": 15811 },
      { "name": "中国", "value": 14430 }, { "name": "黑龙江", "value": 13306 },
      { "name": "云南", "value": 12345 }, { "name": "内蒙古", "value": 11544 }, 
      { "name": "吉林", "value": 11469 }, { "name": "甘肃", "value": 10881 },   
      { "name": "天津", "value": 10877 }, { "name": "重庆", "value": 10819 },   
      { "name": "贵州", "value": 9758 }, { "name": "海南", "value": 8025 },   
      { "name": "新疆", "value": 5934 }, { "name": "青海", "value": 2309 },
      { "name": "宁夏", "value": 2292 }, { "name": "西藏", "value": 1112 },
      { "name": "香港", "value": 363 }, { "name": "台湾", "value": 168 },   
      { "name": "澳门", "value": 164 }
    ];
    var option = {
      textStyle: {
        fontFamily: "NOTDEF",
      },
      tooltip: {// 鼠标悬浮-提示框
        textStyle: {
          fontSize: 12,
        },
        triggerOn: "mousemove",
        formatter: function (e, t, n) {
          return e.seriesName + "<br />" + e.name + ":" + e.value;
        },
      },
      visualMap: {//视觉映射组件;覆盖原图,左边的色带
        show: true,
        min: 0,
        max: data[0].value||200,
        left: 26,
        bottom: 30,
        itemWidth: 50,
        itemHeight: 350,
        showLabel: !0,
        text: ["高", "低"],
        inRange: {
          color: [ "#95c98a","#facc16",'#fe784b'],
        },
      },
      geo: {
        map: "china",
        top: 100, //组件离容器上方的距离
        itemStyle: {
          normal: {
            borderWidth: 1,
            shadowBlur: 10,
            shadowOffsetX: 7,
            shadowOffsetY: 6,
            shadowColor: "rgba(0, 0, 0, 0.3)",
            borderColor: "rgba(0, 0, 0, 0.4)",
          },
          emphasis: {
            areaColor: "#f2d5ad", //鼠标放上去的颜色
            shadowOffsetX: 0,
            shadowOffsetY: 0,
            borderWidth: 0,
          },
        },
      },
      series: [
        {
          name: "浏览量",
          type: "map",
          geoIndex: 0,
          data: data,
        },
      ],
    };
    totalFlowRate.setOption(option); 
  </script>
2、世界地图
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>dataset</title>
      <script src="https://cdn.jsdelivr.net/npm/echarts/dist/echarts.min.js"></script>
      <script src="https://cdn.jsdelivr.net/npm/echarts/map/js/world.js"></script>
    </head>
    <body>
      <div>引用来源,百度搜“echarts世界地图”</div>
      <div>配置来源,https://article.juejin.cn/post/7133496446518558734</div>
      <div id="main" style="width: 1800px; height: 900px; border: 1px solid green;"></div>
    </body>
  </html>
  <script>
    var myChart = echarts.init(document.getElementById('main'));
    var nameMap = {
      Afghanistan: '阿富汗',
      Aland: '奥兰群岛',
      Albania: '阿尔巴尼亚',
      Algeria: '阿尔及利亚',
      Angola: '安哥拉',
      'Antigua and Barb.': '安提瓜和巴布达',
      Argentina: '阿根廷',
      Armenia: '亚美尼亚',
      Australia: '澳大利亚',
      Austria: '奥地利',
      Azerbaijan: '阿塞拜疆',
      Bahamas: '巴哈马',
      Bangladesh: '孟加拉国',
      Barbados: '巴巴多斯',
      Belarus: '白俄罗斯',
      Belgium: '比利时',
      Belize: '伯利兹',
      Benin: '贝宁',
      Bermuda: '百慕大',
      Bhutan: '不丹',
      Bolivia: '玻利维亚',
      'Bosnia and Herz.': '波黑',
      'Bosnia and Herzegovina': '波斯尼亚和黑塞哥维那',
      Botswana: '博茨瓦纳',
      Brazil: '巴西',
      Brunei: '文莱',
      Bulgaria: '保加利亚',
      'Burkina Faso': '布基纳法索',
      Burundi: '布隆迪',
      Cambodia: '柬埔寨',
      Cameroon: '喀麦隆',
      Canada: '加拿大',
      'Cape Verde': '佛得角共和国',
      'Cayman Is.': '开曼群岛',
      'Central African Rep.': '中非',
      'Central African Republic': '中非共和国',
      Chad: '乍得',
      Chile: '智利',
      China: '中国',
      Colombia: '哥伦比亚',
      Comoros: '科摩罗',
      Congo: '刚果',
      'Costa Rica': '哥斯达黎加',
      Croatia: '克罗地亚',
      Cuba: '古巴',
      Cyprus: '塞浦路斯',
      'Czech Rep.': '捷克',
      'Czech Republic': '捷克共和国',
      'Dem.Rep.Korea': '朝鲜',
      'Democratic Republic of the Congo': '刚果民主共和国',
      Denmark: '丹麦',
      Djibouti: '吉布提',
      Dominica: '多米尼克',
      'Dominican Rep.': '多米尼加',
      'Dominican Republic': '多明尼加共和国',
      'East Timor': '东帝汶',
      Ecuador: '厄瓜多尔',
      Egypt: '埃及',
      'El Salvador': '萨尔瓦多',
      'Eq. Guinea': '赤道几内亚',
      Eritrea: '厄立特里亚',
      Estonia: '爱沙尼亚',
      Ethiopia: '埃塞俄比亚',
      'Faeroe Is.': '法罗群岛',
      'Falkland Is.': '福克兰群岛',
      'Falkland Islands': '福克兰群岛',
      Fiji: '斐济',
      Finland: '芬兰',
      'Fr. S. Antarctic Lands': '法属南半球和南极陆地',
      France: '法国',
      'French Guiana': '法属圭亚那',
      'French Southern and Antarctic Lands': '法属南半球和南极领地',
      Gabon: '加蓬',
      Gambia: '冈比亚',
      Georgia: '格鲁吉亚',
      Germany: '德国',
      Ghana: '加纳',
      Greece: '希腊',
      Greenland: '格陵兰',
      Grenada: '格林纳达',
      Guatemala: '危地马拉',
      Guinea: '几内亚',
      'Guinea Bissau': '几内亚比绍',
      'Guinea-Bissau': '几内亚比绍',
      Guyana: '圭亚那',
      Haiti: '海地',
      Honduras: '洪都拉斯',
      Hungary: '匈牙利',
      Iceland: '冰岛',
      India: '印度',
      Indonesia: '印度尼西亚',
      Iran: '伊朗',
      Iraq: '伊拉克',
      Ireland: '爱尔兰',
      'IsIe of Man': '马恩岛',
      Israel: '以色列',
      Italy: '意大利',
      'Ivory Coast': '象牙海岸',
      Jamaica: '牙买加',
      Japan: '日本',
      Jersey: '泽西',
      Jordan: '约旦',
      Kazakhstan: '哈萨克斯坦',
      Kenya: '肯尼亚',
      Korea: '韩国',
      Kosovo: '科索沃',
      Kuwait: '科威特',
      Kyrgyzstan: '吉尔吉斯斯坦',
      'Lao PDR': '老挝',
      Laos: '老挝',
      Latvia: '拉脱维亚',
      Lebanon: '黎巴嫩',
      Lesotho: '莱索托',
      Liberia: '利比里亚',
      Libya: '利比亚',
      Lithuania: '立陶宛',
      Luxembourg: '卢森堡',
      Macedonia: '马其顿',
      Madagascar: '马达加斯加',
      Malawi: '马拉维',
      Malaysia: '马来西亚',
      Mali: '马里',
      Malta: '马耳他共和国',
      Mauritania: '毛里塔尼亚',
      Mauritius: '毛里求斯',
      Mexico: '墨西哥',
      Moldova: '摩尔多瓦',
      Mongolia: '蒙古',
      Montenegro: '黑山',
      Montserrat: '蒙塞拉特',
      Morocco: '摩洛哥',
      Mozambique: '莫桑比克',
      Myanmar: '缅甸',
      'N. Cyprus': '北塞浦路斯',
      Namibia: '纳米比亚',
      Nepal: '尼泊尔',
      Netherlands: '荷兰',
      'New Caledonia': '新喀里多尼亚',
      'New Zealand': '新西兰',
      Nicaragua: '尼加拉瓜',
      Niger: '尼日尔',
      Nigeria: '尼日利亚',
      'North Korea': '北朝鲜',
      'Northern Cyprus': '北塞浦路斯',
      Norway: '挪威',
      Oman: '阿曼',
      Pakistan: '巴基斯坦',
      Palestine: '巴勒斯坦',
      Panama: '巴拿马',
      'Papua New Guinea': '巴布亚新几内亚',
      Paraguay: '巴拉圭',
      Peru: '秘鲁',
      Philippines: '菲律宾',
      Poland: '波兰',
      Portugal: '葡萄牙',
      'Puerto Rico': '波多黎各',
      Qatar: '卡塔尔',
      'Republic of Serbia': '塞尔维亚',
      'Republic of the Congo': '刚果共和国',
      Romania: '罗马尼亚',
      Russia: '俄罗斯',
      Rwanda: '卢旺达',
      'Saint Lucia': '圣卢西亚',
      Samoa: '萨摩亚',
      'Saudi Arabia': '沙特阿拉伯',
      Senegal: '塞内加尔',
      Serbia: '塞尔维亚',
      'Sierra Leone': '塞拉利昂',
      Singapore: '新加坡',
      Slovakia: '斯洛伐克',
      Slovenia: '斯洛文尼亚',
      'Solomon Is.': '所罗门群岛',
      'Solomon Islands': '所罗门群岛',
      Somalia: '索马里',
      Somaliland: '索马里兰',
      'South Africa': '南非',
      'South Sudan': '南苏丹',
      Spain: '西班牙',
      'Sri Lanka': '斯里兰卡',
      'St. Vin. and Gren.': '圣文森特和格林纳丁斯',
      Sudan: '苏丹',
      Suriname: '苏里南',
      Swaziland: '斯威士兰',
      Sweden: '瑞典',
      Switzerland: '瑞士',
      Syria: '叙利亚',
      Tajikistan: '塔吉克斯坦',
      Tanzania: '坦桑尼亚',
      Thailand: '泰国',
      'The Bahamas': '巴哈马',
      'Timor-Leste': '东帝汶',
      Togo: '多哥',
      'Trinidad and Tobago': '特里尼达和多巴哥',
      Tunisia: '突尼斯',
      Turkey: '土耳其',
      Turkmenistan: '土库曼斯坦',
      'Turks and Caicos Is.': '特克斯和凯科斯群岛',
      'U.S. Virgin Is.': '美国原始岛屿',
      Uganda: '乌干达',
      Ukraine: '乌克兰',
      'United Arab Emirates': '阿联酋',
      'United Kingdom': '英国',
      'United Republic of Tanzania': '坦桑尼亚',
      'United States': '美国',
      Uruguay: '乌拉圭',
      Uzbekistan: '乌兹别克斯坦',
      Vanuatu: '瓦努阿图',
      Venezuela: '委内瑞拉',
      Vietnam: '越南',
      'W. Sahara': '西撒哈拉',
      'West Bank': '西岸',
      'Western Sahara': '西撒哈拉',
      Yemen: '也门',
      Zambia: '赞比亚',
      Zimbabwe: '津巴布韦'
    };
    /* 
      const sortedKeys = Object.keys(nameMap).sort((a, b) => a.localeCompare(b));
      const sortedObj = sortedKeys.reduce((sortedObj, key) => {
        sortedObj[key] = nameMap[key];
        return sortedObj;
      }, {});
      console.log(sortedObj);
    */
    var option = {
      tooltip: {// 鼠标悬浮-提示框
        trigger: "item",
        borderColor: "#666", //区域边框颜色
        formatter: function (params) {
          if (params.name) {
            return (
              params.name +
              " : " +
              (isNaN(params.value) ? 0 : parseInt(params.value))
            );
          }
        },
      },
      visualMap: {//视觉映射组件;覆盖原图
        min: 0, //最小值
        max: 1000, //最大值
        orient: "horizontal", //图例排列方向
        // orient: "vertical", //图例模式
        left: 26,
        bottom: 20,
        showLabel: true, //显示图例文本
        precision: 0, //数据展示无小数点
        itemWidth: 12, //图例宽度
        itemHeight: 12, //图例高度
        textGap: 10, //图例间距
        inverse: false, //数据反向展示
        hoverLink: true, //鼠标悬浮
        inRange: {
          //选中图例后背景半透明
          color: ["rgba(3,4,5,0.4)"],
          symbol: "rect", //更改图元样式
        },
        pieces: [//视觉映射组件分区
          {
            gt: 1001,
            label: ">1000",
            color: "#004bbc",
          },
          {
            gte: 500,
            lte: 1000,
            label: "500-1000",
            color: "red",
          },
          {
            gte: 100,
            lte: 499,
            label: "100-499",
            color: "black",
          },
          {
            gte: 10,
            lte: 99,
            label: "10-99",
            color: "#73c1ff",
          },
          {
            gte: 1,
            lte: 9,
            label: "1-9",
            color: "green",
          },
          {
            lte: 0,
            label: "0",
            color: "#d2ecf1",
          },
        ],
        textStyle: {
          color: "#fff",
          fontSize: 14, //图元字体大小
          fontWeight: 500,
        },
      },
      series: [
        {
          name: "World Population (2010)",
          type: "map",
          mapType: "world",
          zoom: 1.2, //地图大小
          roam: false, //禁止拖拽
          itemStyle: {
            normal: {
              areaColor: "#d2ecf1", //地图默认颜色
              borderWidth: 0.5, //边框宽度
              textStyle: {
                color: "#fff", //默认文字颜色
              },
              borderColor: "#000", //地图边框颜色
            },
            emphasis: {
              areaColor: "#4306fe", //动态背景颜色
            },
          },
          select: {
            //地图选中颜色
            itemStyle: {
              areaColor: "#4306fe",
            },
          },
          label: {
            normal: {
              //静态的时候展示样式
              show: false, //是否显示地图名称
              textStyle: {
                color: "#000", //颜色
                fontSize: 14, //文字大小
                fontFamily: "Arial",
              },
            },
            emphasis: {
              //动态展示的样式
              color: "#fff",
            },
          },
          data: [
            { name: "萨摩亚", value: 297 },
            { name: "乌克兰", value: 195 },
            { name: "越南", value: 315 },
            { name: "新西兰", value: 844 },
            { name: "墨西哥", value: 403 },
            { name: "美国", value: 263 },
            { name: "巴拿马", value: 268 },
            { name: "澳大利亚", value: 5 },
          ],
          nameMap: nameMap,
        },
      ],
    };
    myChart.setOption(option);
    window.addEventListener("resize", function () {
      myChart.resize();
    });
    myChart.setOption(option);
  </script>
3、地图-经纬度
  很多场合都用到百度地图,这里是笔者把自己老家县政府的位置(经纬度)和老家住宅的位置(经纬度)在百度地图上标出来。
  <html>
  <head>
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
    <meta name="viewport" content="initial-scale=1.0, user-scalable=no" />
    <title>固始县政府</title>
    <style type="text/css">
        body, html,#onlymap{width: 100%;height: 100%; margin:0;font-family:"微软雅黑";}
    </style>
    <script type="text/javascript" src="http://api.map.baidu.com/api?v=2.0&ak=vvNvGRSQV4QdtGZaoKDB04yW5mFBrFSX"></script>  
  </head>
  <body>
  <div id="onlymap"></div>
  </body>
  </html>
  <script type="text/javascript">
    //整体设置
    var map = new BMap.Map("onlymap");
    map.centerAndZoom(new BMap.Point(115.6608, 31.7575), 10);
    map.enableScrollWheelZoom();
    //笔者所在县=>固始县县政府位置
    var countyGovernmentPoint = new BMap.Point(115.6608, 32.1749);
    var countyGovernmentmarker = new BMap.Marker(countyGovernmentPoint);
    map.addOverlay(countyGovernmentmarker);
    var countyGovernmentPosition = countyGovernmentmarker.getPosition();
    var countyGovernmentPositionLng=countyGovernmentPosition.lng;
    var countyGovernmentPositionLat=countyGovernmentPosition.lat;
    var countyGovernmentLabel = new BMap.Label("笔者所在县=>固始县县政府位置:<br/>东经"+countyGovernmentPositionLng+"度,北纬"+countyGovernmentPositionLat+"度",{offset:new BMap.Size(-105,37)});
    countyGovernmentmarker.setLabel(countyGovernmentLabel);
    var circle = new BMap.Circle(countyGovernmentPoint,500,{strokeColor:"red", strokeWeight:5, strokeOpacity:0.5});    
    map.addOverlay(circle);
    //笔者老家住宅=>位置
    var myFamilypoint = new BMap.Point(115.7097, 31.9053);
    var myFamilymarker = new BMap.Marker(myFamilypoint);
    map.addOverlay(myFamilymarker);
    var myFamilyPosition = myFamilymarker.getPosition();
    var myFamilyPositionLng=myFamilyPosition.lng;
    var myFamilyPositionLat=myFamilyPosition.lat;
    var myFamilyLabel = new BMap.Label("笔者老家住宅=>位置:<br/>东经"+myFamilyPositionLng+"度,北纬"+myFamilyPositionLat+"度",{offset:new BMap.Size(-75,28)});
    myFamilymarker.setLabel(myFamilyLabel);
    //左上角添加默认缩放平移控件
    var topLeftNavigation = new BMap.NavigationControl();
    map.addControl(topLeftNavigation);
  </script>

六、树状图(从左到右)
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>树状图(从左到右)</title>
      <script type="text/javascript" src="https://cdn.bootcdn.net/ajax/libs/echarts/5.3.3/echarts.js"></script>
    </head>
    <body>
      <div id="totalFlowRate" style="height:506px;width:1006px"></div>
    </body>
  </html>
  <script type="text/javascript">
    //数据来源,https://echarts.apache.org/examples/data/asset/data/flare.json
    var data = {
      "name": "flare",
      "children": [
        {
        "name": "analytics",
        "children": [
          {
          "name": "cluster",
          "children": [
            {"name": "AgglomerativeCluster", "value": 3938},
            {"name": "CommunityStructure", "value": 3812},
            {"name": "HierarchicalCluster", "value": 6714},
            {"name": "MergeEdge", "value": 743}
          ]
          },
          {
          "name": "graph",
          "children": [
            {"name": "BetweennessCentrality", "value": 3534},
            {"name": "LinkDistance", "value": 5731},
            {"name": "MaxFlowMinCut", "value": 7840},
            {"name": "ShortestPaths", "value": 5914},
            {"name": "SpanningTree", "value": 3416}
          ]
          },
          {
          "name": "optimization",
          "children": [
            {"name": "AspectRatioBanker", "value": 7074}
          ]
          }
        ]
        },
        {
        "name": "animate",
        "children": [
          {"name": "Easing", "value": 17010},
          {"name": "FunctionSequence", "value": 5842},
          {
          "name": "interpolate",
          "children": [
            {"name": "ArrayInterpolator", "value": 1983},
            {"name": "ColorInterpolator", "value": 2047},
            {"name": "DateInterpolator", "value": 1375},
            {"name": "Interpolator", "value": 8746},
            {"name": "RectangleInterpolator", "value": 2042}
          ]
          },
          {"name": "ISchedulable", "value": 1041},
          {"name": "Parallel", "value": 5176},
          {"name": "Pause", "value": 449},
          {"name": "Scheduler", "value": 5593},
          {"name": "Sequence", "value": 5534}
        ]
        },
        {
        "name": "data",
        "children": [
          {
          "name": "converters",
          "children": [
            {"name": "Converters", "value": 721},
            {"name": "DelimitedTextConverter", "value": 4294},
            {"name": "GraphMLConverter", "value": 9800},
            {"name": "IDataConverter", "value": 1314},
            {"name": "JSONConverter", "value": 2220}
          ]
          },
          {"name": "DataField", "value": 1759},
          {"name": "DataSchema", "value": 2165},
          {"name": "DataSet", "value": 586},
          {"name": "DataSource", "value": 3331},
          {"name": "DataTable", "value": 772},
          {"name": "DataUtil", "value": 3322}
        ]
        },
        {
        "name": "display",
        "children": [
          {"name": "DirtySprite", "value": 8833},
          {"name": "LineSprite", "value": 1732},
          {"name": "RectSprite", "value": 3623},
          {"name": "TextSprite", "value": 10066}
        ]
        },
        {
        "name": "flex",
        "children": [
          {"name": "FlareVis", "value": 4116}
        ]
        },
        {
        "name": "physics",
        "children": [
          {"name": "DragForce", "value": 1082},
          {"name": "GravityForce", "value": 1336},
          {"name": "IForce", "value": 319},
          {"name": "NBodyForce", "value": 10498},
          {"name": "Particle", "value": 2822},
          {"name": "Simulation", "value": 9983},
        ]
        },
        {
        "name": "query",
        "children": [
          {"name": "AggregateExpression", "value": 1616},
          {"name": "And", "value": 1027},
          {"name": "Arithmetic", "value": 3891},
          {"name": "Average", "value": 891},
          {"name": "BinaryExpression", "value": 2893},
          {
          "name": "methods",
          "children": [
            {"name": "add", "value": 593},
            {"name": "and", "value": 330},
            {"name": "average", "value": 287},
            {"name": "count", "value": 277},
            {"name": "distinct", "value": 292},
          ]
          },
          {"name": "Minimum", "value": 843},
          {"name": "Not", "value": 1554},
          {"name": "Or", "value": 970},
          {"name": "Query", "value": 13896},
          {"name": "Range", "value": 1594}
        ]
        },
        {
        "name": "scale",
        "children": [
          {"name": "IScaleMap", "value": 2105},
          {"name": "LinearScale", "value": 1316},
          {"name": "LogScale", "value": 3151},
          {"name": "OrdinalScale", "value": 3770},
          {"name": "QuantileScale", "value": 2435},
        ]
        },
        {
        "name": "util",
        "children": [
          {"name": "Arrays", "value": 8258},
          {"name": "Colors", "value": 10001},
          {"name": "Dates", "value": 8217},
          {"name": "Displays", "value": 12555},
          {"name": "Filter", "value": 2324},
          {"name": "Geometry", "value": 10993},
          {
          "name": "heap",
          "children": [
            {"name": "FibonacciHeap", "value": 9354},
            {"name": "HeapNode", "value": 1233}
          ]
          },
          {"name": "IEvaluable", "value": 335},
          {"name": "IPredicate", "value": 383},
          {"name": "IValueProxy", "value": 874},
          {
          "name": "math",
          "children": [
            {"name": "DenseMatrix", "value": 3165},
            {"name": "IMatrix", "value": 2815},
            {"name": "SparseMatrix", "value": 3366}
          ]
          },
          {"name": "Maths", "value": 17705},
          {"name": "Orientation", "value": 1486},
          {
          "name": "palette",
          "children": [
            {"name": "ColorPalette", "value": 6367},
            {"name": "Palette", "value": 1229},
            {"name": "ShapePalette", "value": 2059},
            {"name": "SizePalette", "value": 2291}
          ]
          },
          {"name": "Property", "value": 5559},
          {"name": "Shapes", "value": 19118},
          {"name": "Sort", "value": 6887},
          {"name": "Stats", "value": 6557},
          {"name": "Strings", "value": 22026}
        ]
        },
        {
        "name": "vis",
        "children": [
          {
          "name": "axis",
          "children": [
            {"name": "Axes", "value": 1302},
            {"name": "Axis", "value": 24593},
            {"name": "AxisGridLine", "value": 652},
            {"name": "AxisLabel", "value": 636},
            {"name": "CartesianAxes", "value": 6703}
          ]
          },
          {
          "name": "controls",
          "children": [
            {"name": "AnchorControl", "value": 2138},
            {"name": "ClickControl", "value": 3824},
            {"name": "Control", "value": 1353},
            {"name": "ControlList", "value": 4665},
            {"name": "DragControl", "value": 2649},
          ]
          },
          {
          "name": "data",
          "children": [
            {"name": "Data", "value": 20544},
            {"name": "DataList", "value": 19788},
            {"name": "DataSprite", "value": 10349},
            {"name": "EdgeSprite", "value": 3301},
            {"name": "NodeSprite", "value": 19382},
            {
            "name": "render",
            "children": [
              {"name": "ArrowType", "value": 698},
              {"name": "EdgeRenderer", "value": 5569},
              {"name": "IRenderer", "value": 353},
              {"name": "ShapeRenderer", "value": 2247}
            ]
            },
            {"name": "ScaleBinding", "value": 11275},
            {"name": "Tree", "value": 7147},
            {"name": "TreeBuilder", "value": 9930}
          ]
          },
          {
          "name": "events",
          "children": [
            {"name": "DataEvent", "value": 2313},
            {"name": "SelectionEvent", "value": 1880},
            {"name": "TooltipEvent", "value": 1701},
            {"name": "VisualizationEvent", "value": 1117}
          ]
          },
          {
          "name": "legend",
          "children": [
            {"name": "Legend", "value": 20859},
            {"name": "LegendItem", "value": 4614},
            {"name": "LegendRange", "value": 10530}
          ]
          },
          {
          "name": "operator",
          "children": [
            {
            "name": "distortion",
            "children": [
              {"name": "BifocalDistortion", "value": 4461},
              {"name": "Distortion", "value": 6314},
              {"name": "FisheyeDistortion", "value": 3444}
            ]
            },
            {
            "name": "encoder",
            "children": [
              {"name": "ColorEncoder", "value": 3179},
              {"name": "Encoder", "value": 4060},
              {"name": "PropertyEncoder", "value": 4138},
              {"name": "ShapeEncoder", "value": 1690},
              {"name": "SizeEncoder", "value": 1830}
            ]
            },
            {
            "name": "filter",
            "children": [
              {"name": "FisheyeTreeFilter", "value": 5219},
              {"name": "GraphDistanceFilter", "value": 3165},
              {"name": "VisibilityFilter", "value": 3509}
            ]
            },
            {"name": "IOperator", "value": 1286},
            {
            "name": "label",
            "children": [
              {"name": "Labeler", "value": 9956},
              {"name": "RadialLabeler", "value": 3899},
              {"name": "StackedAreaLabeler", "value": 3202}
            ]
            },
            {
            "name": "layout",
            "children": [
              {"name": "AxisLayout", "value": 6725},
              {"name": "BundledEdgeRouter", "value": 3727},
              {"name": "CircleLayout", "value": 9317},
              {"name": "CirclePackingLayout", "value": 12003},
              {"name": "DendrogramLayout", "value": 4853},
              {"name": "ForceDirectedLayout", "value": 8411},
              {"name": "IcicleTreeLayout", "value": 4864},
              {"name": "IndentedTreeLayout", "value": 3174},
              {"name": "Layout", "value": 7881},
              {"name": "NodeLinkTreeLayout", "value": 12870},
              {"name": "PieLayout", "value": 2728}
            ]
            },
            {"name": "Operator", "value": 2490},
            {"name": "OperatorList", "value": 5248},
            {"name": "OperatorSequence", "value": 4190},
            {"name": "OperatorSwitch", "value": 2581},
            {"name": "SortOperator", "value": 2023}
          ]
          },
          {"name": "Visualization", "value": 16540}
        ]
        }
      ]
    };
    data.children.forEach(function (datum, index) {
      index % 2 === 0 && (datum.collapsed = true);
    });
    var totalFlowRate = echarts.init(document.getElementById("totalFlowRate"));
    var option = {
      tooltip: {// 鼠标悬浮-提示框
        trigger: 'item',
        triggerOn: 'mousemove'
      },
      series: [
        {
          type: 'tree',
          data: [data],
          top: '1%',
          left: '7%',
          bottom: '1%',
          right: '20%',
          symbolSize: 7,
          label: {
            position: 'left',
            verticalAlign: 'middle',
            align: 'right',
            fontSize: 9
          },
          leaves: {
            label: {
              position: 'right',
              verticalAlign: 'middle',
              align: 'left'
            }
          },
          emphasis: {
            focus: 'descendant'
          },
          expandAndCollapse: true,
          animationDuration: 550,
          animationDurationUpdate: 750
        }
      ]
    };
    totalFlowRate.setOption(option);
  </script>

七、拓扑图
  <!DOCTYPE html>
  <html lang='en'>
  <head>
    <meta charset='UTF-8'>
    <title></title>
    <script src='https://cdn.bootcss.com/echarts/3.7.1/echarts.js'></script>
  </head>
  <body>
    <div style='height:100px;'> 
      <div>需求:在Echarts中,图例的说明文字分左右两段,左段左对齐,右段右对齐</div>
      <div>实现:</div>
      <div>在HTML中,黑体、楷体、宋体,这3种字体严格遵守“汉字占2个字符宽、字母占1个字符宽”,其它的字体不行</div>
      <div>通过计算,找出说明文字最长的项,然后计算其它各项与这项的差值,并用相应的多个汉字空格和一个英文空格插入说明文字中间</div> 
      <div>例如formatter函数里用name+\u3000+\u3000+\u3000+\u0020+percent</div> 
      <div>type: 'graph',与之进行如下兄弟配置可以有相应的效果</div> 
      <div>原文链接:https://blog.csdn.net/weixin_42402763/article/details/91977109</div> 
      <div>roam: true,是否开启鼠标缩放和平移漫游,默认都不开启。为true都开启,为'scale'只开启缩放,为'move'只开启平移 </div>
      <div>nodeScaleRatio:0.6,鼠标漫游缩放时节点的相应缩放比例,当设为0时节点不随着鼠标的缩放而缩放</div>
    </div>
    <div id='myEchartsId' style='height:900px;'></div>
  </body>
  </html>
  <script type='text/javascript'>
    var myEcharts = echarts.init(document.getElementById('myEchartsId'));
    myEcharts.hideLoading();
    var graph = makeData();
    var categories = [];
    for (var i = 0; i < 9; i++) {
      categories[i] = {
        name: '类目' + i
      };
    }
    graph.nodes.forEach(function (node) {
      node.itemStyle = null;
      node.value = node.symbolSize;
      node.symbolSize /= 1.5;
      node.label = {
        normal: {
          show: node.symbolSize > 10
        }
      };
      //node.category = node.attributes.modularity_class; 
    });
    myEchartsOption = {
      title: {
        text: 'Les Miserables',
        subtext: 'Circular layout',
        top: 'bottom',
        left: 'right'
      },
      tooltip: {},// 鼠标悬浮-提示框
      legend: [{// 图例
        textStyle: {
          color: 'red',
          fontStyle: 'normal',
          fontFamily: '宋体'
        },
        // selectedMode: 'single',
        data: categories.map(function (a) {
          return a.name;
        })
      }],
      animationDurationUpdate: 1500,
      animationEasingUpdate: 'quinticInOut',
      series: [
        {
          name: 'Les Miserables',
          type: 'graph',
          layout: 'circular',
          circular: {
            rotateLabel: true
          },
          data: graph.nodes,
          links: graph.links,
          categories: categories,
          roam: true,
          label: {
            normal: {
              position: 'right',
              formatter: '{b}'
            }
          },
          lineStyle: {
            normal: {
              color: 'source',
              curveness: 0.3
            }
          }
        }
      ]
    };
    myEcharts.setOption(myEchartsOption);
    myEcharts.on('click',function(event){
      console.log(event)
    })
    function makeData() {
      var nodes = [
        {
          attributes: { modularity_class: 0 },
          category: 0,
          id: "0",
          itemStyle: null,
          label: { normal: { show: true } },
          name: "Myriel",
          symbolSize: 19.12381,
          value: 28.685715,
          x: -266.82776,
          y: 299.6904
        },
        {
          attributes: { modularity_class: 0 },
          category: 0,
          id: "1",
          itemStyle: null,
          label: { normal: { show: false } },
          name: "Napoleon",
          symbolSize: 2.6666666666666665,
          value: 4,
          x: -418.08344,
          y: 446.8853
        },
        {
          attributes: { modularity_class: 1 },
          category: 1,
          id: "2",
          itemStyle: null,
          label: { normal: { show: false } },
          name: "MlleBaptistine",
          symbolSize: 6.323809333333333,
          value: 9.485714,
          x: -212.76357,
          y: 245.29176
        },
        {
          attributes: { modularity_class: 1 },
          category: 1,
          id: "3",
          itemStyle: null,
          label: { normal: { show: false } },
          name: "MmeMagloire",
          symbolSize: 6.323809333333333,
          value: 9.485714,
          x: -242.82404,
          y: 235.26283
        },
        {
          attributes: { modularity_class: 0 },
          category: 0,
          id: "4",
          itemStyle: null,
          label: { normal: { show: false } },
          name: "CountessDeLo",
          symbolSize: 2.6666666666666665,
          value: 4,
          x: -379.30386,
          y: 429.06424
        },
        {
          attributes: { modularity_class: 0 },
          category: 0,
          id: "5",
          itemStyle: null,
          label: { normal: { show: false } },
          name: "Geborand",
          symbolSize: 2.6666666666666665,
          value: 4,
          x: -417.26337,
          y: 406.03506
        },
        {
          attributes: { modularity_class: 0 },
          category: 0,
          id: "6",
          itemStyle: null,
          label: { normal: { show: false } },
          name: "Champtercier",
          symbolSize: 2.6666666666666665,
          value: 4,
          x: -332.6012,
          y: 485.16974
        },
        {
          attributes: { modularity_class: 0 },
          category: 0,
          id: "7",
          itemStyle: null,
          label: { normal: { show: false } },
          name: "Cravatte",
          symbolSize: 2.6666666666666665,
          value: 4,
          x: -382.69568,
          y: 475.09113
        },
        {
          attributes: { modularity_class: 0 },
          category: 0,
          id: "8",
          itemStyle: null,
          label: { normal: { show: false } },
          name: "Count",
          symbolSize: 2.6666666666666665,
          value: 4,
          x: -320.384,
          y: 387.17325
        },
        {
          attributes: { modularity_class: 0 },
          category: 0,
          id: "9",
          itemStyle: null,
          label: { normal: { show: false } },
          name: "OldMan",
          symbolSize: 2.6666666666666665,
          value: 4,
          x: -344.39832,
          y: 451.16772
        },
        {
          attributes: { modularity_class: 1 },
          category: 1,
          id: "10",
          itemStyle: null,
          label: { normal: { show: false } },
          name: "Labarre",
          symbolSize: 2.6666666666666665,
          value: 4,
          x: -89.34107,
          y: 234.56128
        },
        {
          attributes: { modularity_class: 1 },
          category: 1,
          id: "11",
          itemStyle: null,
          label: { normal: { show: true } },
          name: "Valjean",
          symbolSize: 66.66666666666667,
          value: 100,
          x: -87.93029,
          y: -6.8120565
        },
        {
          attributes: { modularity_class: 1 },
          category: 1,
          id: "12",
          itemStyle: null,
          label: { normal: { show: false } },
          name: "Marguerite",
          symbolSize: 4.495239333333333,
          value: 6.742859,
          x: -339.77908,
          y: -184.69139
        },
        {
          attributes: { modularity_class: 1 },
          category: 1,
          id: "13",
          itemStyle: null,
          label: { normal: { show: false } },
          name: "MmeDeR",
          symbolSize: 2.6666666666666665,
          value: 4,
          x: -194.31313,
          y: 178.55301
        },
        {
          attributes: { modularity_class: 1 },
          category: 1,
          id: "14",
          itemStyle: null,
          label: { normal: { show: false } },
          name: "Isabeau",
          symbolSize: 2.6666666666666665,
          value: 4,
          x: -158.05168,
          y: 201.99768
        },
        {
          attributes: { modularity_class: 1 },
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      ];
      return {
        nodes: nodes,
        links: links
      }
    }
  </script>

八、10年经济指标
1、10年经济指标(无局部放大)  
  <!DOCTYPE html>
  <html lang="en">
    <head>
      <meta charset="UTF-8">
      <title>Title</title>
      <script src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
    </head>
    <body>
      <div id="carBrandChartAvgRun" style="width:1000px;height:500px;"></div>
    </body>
  </html>
  <script type="text/javascript">
    var myCarBrandAvgRunChart = echarts.init(document.getElementById('carBrandChartAvgRun'));
    var dataMap = {};
    function dataFormatter(obj) {
      var pList = ['北京','天津','河北','山西','内蒙古','辽宁','吉林','黑龙江','上海','江苏','浙江','安徽','福建','江西','山东','河南','湖北','湖南','广东','广西','海南','重庆','四川','贵州','云南','西藏','陕西','甘肃','青海','宁夏','新疆'];
      var temp;
      for (var year = 2002; year <= 2011; year++) {
          var max = 0;
          var sum = 0;
          temp = obj[year];
          for (var i = 0, l = temp.length; i < l; i++) {
              max = Math.max(max, temp[i]);
              sum += temp[i];
              obj[year][i] = {
                  name : pList[i],
                  value : temp[i]
              }
          }
          obj[year + 'max'] = Math.floor(max / 100) * 100;
          obj[year + 'sum'] = sum;
      }
      return obj;
    }
    dataMap.dataGDP = dataFormatter({
      //max : 60000,
      2011:[16251.93,11307.28,24515.76,11237.55,14359.88,22226.7,10568.83,12582,19195.69,49110.27,32318.85,15300.65,17560.18,11702.82,45361.85,26931.03,19632.26,19669.56,53210.28,11720.87,2522.66,10011.37,21026.68,5701.84,8893.12,605.83,12512.3,5020.37,1670.44,2102.21,6610.05],
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      2005:[840.2,147.4,213.47,135.07,72.52,232.85,83.63,35.03,675.12,492.4,686.32,127.05,186.12,69.55,448.36,181.74,127.32,162.37,661.81,91.93,13.16,185.18,262.26,73.67,130.5,7.57,127.58,44.73,20.36,32.25,80.34],
      2004:[713.79,136.97,209.1,110.29,55.89,188.04,77.17,32.2,612.45,440.5,523.49,94.1,171,65.1,343.37,170.82,118.85,118.64,602.68,74,11.56,162.38,236.5,60.3,118.4,5.4,90.1,42.99,19,27.92,70.3],
      2003:[635.56,112.79,199.87,118.48,55.89,145.38,73.15,32.2,517.97,392.11,451.54,87.45,150.09,64.31,329.71,165.11,107.31,99.35,534.28,61.59,10.68,147.04,206.24,48.01,105.48,4.74,77.87,42.31,17.98,24.8,64.92],
      2002:[561.91,76.86,179.6,124.1,48.39,137.18,75.45,31.6,485.25,368.86,347.53,81.85,138.28,76.51,310.07,158.77,96.95,92.43,454.65,35.86,10.08,134.52,183.13,41.45,102.39,2.81,67.3,42.08,16.75,21.45,52.18]
    });
    option = {
      baseOption: {
        timeline: {
          // y: 0,
          axisType: 'category',
          // realtime: false,
          // loop: false,
          autoPlay: true,
          // currentIndex: 2,
          playInterval: 1000,
          // controlStyle: {
          //     position: 'left'
          // },
          data: [
            '2002-01-01', '2003-01-01', '2004-01-01',
            {
              value: '2005-01-01',
              tooltip: { // 鼠标悬浮-提示框
                formatter: '{b} GDP达到一个高度'
              },
              symbol: 'diamond',
              symbolSize: 16
            },
            '2006-01-01', '2007-01-01', '2008-01-01', '2009-01-01', '2010-01-01',
            {
              value: '2011-01-01',
              tooltip: { // 鼠标悬浮-提示框
                formatter: function(params) {
                  return params.name + 'GDP达到又一个高度';
                }
              },
              symbol: 'diamond',
              symbolSize: 18
            },
          ],
          label: {
            formatter: function(s) {
              return (new Date(s))
                .getFullYear();
            }
          }
        },
        title: {
          subtext: '数据来自国家统计局'
        },
        tooltip: {}, // 鼠标悬浮-提示框
        legend: { // 图例
          x: 'right',
          data: ['第一产业', '第二产业', '第三产业'],
          selected: {
            'GDP': false,
            '金融': false,
            '房地产': false
          }
        },
        calculable: true,
        grid: {
          top: 80,
          bottom: 100
        },
        xAxis: [{
          'type': 'category',
          'axisLabel': {
            'interval': 0
          },
          'data': [
            '北京', '\n天津', '河北', '\n山西', '内蒙古', '\n辽宁', '吉林', '\n黑龙江',
            '上海', '\n江苏', '浙江', '\n安徽', '福建', '\n江西', '山东', '\n河南',
            '湖北', '\n湖南', '广东', '\n广西', '海南', '\n重庆', '四川', '\n贵州',
            '云南', '\n西藏', '陕西', '\n甘肃', '青海', '\n宁夏', '新疆'
          ],
          splitLine: {
            show: false
          }
        }],
        yAxis: [{
          type: 'value',
          name: 'GDP(亿元)',
          // max: 53500
          max: 30000
        }],
        series: [{
            name: 'GDP',
            type: 'bar'
          },
          {
            name: '金融',
            type: 'bar'
          },
          {
            name: '房地产',
            type: 'bar'
          },
          {
            name: '第一产业',
            type: 'bar'
          },
          {
            name: '第二产业',
            type: 'bar'
          },
          {
            name: '第三产业',
            type: 'bar'
          },
          {
            name: 'GDP占比',
            type: 'pie',
            center: ['75%', '35%'],
            radius: '28%'
          }
        ]
      },
      options: [{
          title: {
            text: '2002全国宏观经济指标'
          },
          series: [{
              data: dataMap.dataGDP['2002']
            },
            {
              data: dataMap.dataFinancial['2002']
            },
            {
              data: dataMap.dataEstate['2002']
            },
            {
              data: dataMap.dataPI['2002']
            },
            {
              data: dataMap.dataSI['2002']
            },
            {
              data: dataMap.dataTI['2002']
            },
            {
              data: [{
                  name: '第一产业',
                  value: dataMap.dataPI['2002sum']
                },
                {
                  name: '第二产业',
                  value: dataMap.dataSI['2002sum']
                },
                {
                  name: '第三产业',
                  value: dataMap.dataTI['2002sum']
                }
              ]
            }
          ]
        },
        {
          title: {
            text: '2003全国宏观经济指标'
          },
          series: [{
              data: dataMap.dataGDP['2003']
            },
            {
              data: dataMap.dataFinancial['2003']
            },
            {
              data: dataMap.dataEstate['2003']
            },
            {
              data: dataMap.dataPI['2003']
            },
            {
              data: dataMap.dataSI['2003']
            },
            {
              data: dataMap.dataTI['2003']
            },
            {
              data: [{
                  name: '第一产业',
                  value: dataMap.dataPI['2003sum']
                },
                {
                  name: '第二产业',
                  value: dataMap.dataSI['2003sum']
                },
                {
                  name: '第三产业',
                  value: dataMap.dataTI['2003sum']
                }
              ]
            }
          ]
        },
        {
          title: {
            text: '2004全国宏观经济指标'
          },
          series: [{
              data: dataMap.dataGDP['2004']
            },
            {
              data: dataMap.dataFinancial['2004']
            },
            {
              data: dataMap.dataEstate['2004']
            },
            {
              data: dataMap.dataPI['2004']
            },
            {
              data: dataMap.dataSI['2004']
            },
            {
              data: dataMap.dataTI['2004']
            },
            {
              data: [{
                  name: '第一产业',
                  value: dataMap.dataPI['2004sum']
                },
                {
                  name: '第二产业',
                  value: dataMap.dataSI['2004sum']
                },
                {
                  name: '第三产业',
                  value: dataMap.dataTI['2004sum']
                }
              ]
            }
          ]
        },
        {
          title: {
            text: '2005全国宏观经济指标'
          },
          series: [{
              data: dataMap.dataGDP['2005']
            },
            {
              data: dataMap.dataFinancial['2005']
            },
            {
              data: dataMap.dataEstate['2005']
            },
            {
              data: dataMap.dataPI['2005']
            },
            {
              data: dataMap.dataSI['2005']
            },
            {
              data: dataMap.dataTI['2005']
            },
            {
              data: [{
                  name: '第一产业',
                  value: dataMap.dataPI['2005sum']
                },
                {
                  name: '第二产业',
                  value: dataMap.dataSI['2005sum']
                },
                {
                  name: '第三产业',
                  value: dataMap.dataTI['2005sum']
                }
              ]
            }
          ]
        },
        {
          title: {
            text: '2006全国宏观经济指标'
          },
          series: [{
              data: dataMap.dataGDP['2006']
            },
            {
              data: dataMap.dataFinancial['2006']
            },
            {
              data: dataMap.dataEstate['2006']
            },
            {
              data: dataMap.dataPI['2006']
            },
            {
              data: dataMap.dataSI['2006']
            },
            {
              data: dataMap.dataTI['2006']
            },
            {
              data: [{
                  name: '第一产业',
                  value: dataMap.dataPI['2006sum']
                },
                {
                  name: '第二产业',
                  value: dataMap.dataSI['2006sum']
                },
                {
                  name: '第三产业',
                  value: dataMap.dataTI['2006sum']
                }
              ]
            }
          ]
        },
        {
          title: {
            text: '2007全国宏观经济指标'
          },
          series: [{
              data: dataMap.dataGDP['2007']
            },
            {
              data: dataMap.dataFinancial['2007']
            },
            {
              data: dataMap.dataEstate['2007']
            },
            {
              data: dataMap.dataPI['2007']
            },
            {
              data: dataMap.dataSI['2007']
            },
            {
              data: dataMap.dataTI['2007']
            },
            {
              data: [{
                  name: '第一产业',
                  value: dataMap.dataPI['2007sum']
                },
                {
                  name: '第二产业',
                  value: dataMap.dataSI['2007sum']
                },
                {
                  name: '第三产业',
                  value: dataMap.dataTI['2007sum']
                }
              ]
            }
          ]
        },
        {
          title: {
            text: '2008全国宏观经济指标'
          },
          series: [{
              data: dataMap.dataGDP['2008']
            },
            {
              data: dataMap.dataFinancial['2008']
            },
            {
              data: dataMap.dataEstate['2008']
            },
            {
              data: dataMap.dataPI['2008']
            },
            {
              data: dataMap.dataSI['2008']
            },
            {
              data: dataMap.dataTI['2008']
            },
            {
              data: [{
                  name: '第一产业',
                  value: dataMap.dataPI['2008sum']
                },
                {
                  name: '第二产业',
                  value: dataMap.dataSI['2008sum']
                },
                {
                  name: '第三产业',
                  value: dataMap.dataTI['2008sum']
                }
              ]
            }
          ]
        },
        {
          title: {
            text: '2009全国宏观经济指标'
          },
          series: [{
              data: dataMap.dataGDP['2009']
            },
            {
              data: dataMap.dataFinancial['2009']
            },
            {
              data: dataMap.dataEstate['2009']
            },
            {
              data: dataMap.dataPI['2009']
            },
            {
              data: dataMap.dataSI['2009']
            },
            {
              data: dataMap.dataTI['2009']
            },
            {
              data: [{
                  name: '第一产业',
                  value: dataMap.dataPI['2009sum']
                },
                {
                  name: '第二产业',
                  value: dataMap.dataSI['2009sum']
                },
                {
                  name: '第三产业',
                  value: dataMap.dataTI['2009sum']
                }
              ]
            }
          ]
        },
        {
          title: {
            text: '2010全国宏观经济指标'
          },
          series: [{
              data: dataMap.dataGDP['2010']
            },
            {
              data: dataMap.dataFinancial['2010']
            },
            {
              data: dataMap.dataEstate['2010']
            },
            {
              data: dataMap.dataPI['2010']
            },
            {
              data: dataMap.dataSI['2010']
            },
            {
              data: dataMap.dataTI['2010']
            },
            {
              data: [{
                  name: '第一产业',
                  value: dataMap.dataPI['2010sum']
                },
                {
                  name: '第二产业',
                  value: dataMap.dataSI['2010sum']
                },
                {
                  name: '第三产业',
                  value: dataMap.dataTI['2010sum']
                }
              ]
            }
          ]
        },
        {
          title: {
            text: '2011全国宏观经济指标'
          },
          series: [{
              data: dataMap.dataGDP['2011']
            },
            {
              data: dataMap.dataFinancial['2011']
            },
            {
              data: dataMap.dataEstate['2011']
            },
            {
              data: dataMap.dataPI['2011']
            },
            {
              data: dataMap.dataSI['2011']
            },
            {
              data: dataMap.dataTI['2011']
            },
            {
              data: [{
                  name: '第一产业',
                  value: dataMap.dataPI['2011sum']
                },
                {
                  name: '第二产业',
                  value: dataMap.dataSI['2011sum']
                },
                {
                  name: '第三产业',
                  value: dataMap.dataTI['2011sum']
                }
              ]
            }
          ]
        }
      ]
    };
    myCarBrandAvgRunChart.setOption(option);  
  </script>
2、10年经济指标(有局部放大)
  <!DOCTYPE html>
  <html lang="en">
  <head>
    <meta charset="UTF-8">
    <title>Echarts实现局部放大效果</title>
    <script src="https://cdn.bootcss.com/echarts/3.7.1/echarts.js"></script>
  </head>
  <body>
    <div id="totalFlowRate" style="height:800px;"></div>
  </body>
  </html>
  <script type="text/javascript">
    function splitData(rawData) {
      var categoryData = [];
      var values = [];
      var volumns = [];
      for (var i = 0; i < rawData.length; i++) {
        categoryData.push(rawData[i].splice(0, 1)[0]);
        values.push(rawData[i]);
        volumns.push(rawData[i][4]);
      }
      return {
        categoryData: categoryData,
        values: values,
        volumns: volumns
      };
    }
    function calculateMA(dayCount, data) {
      var result = [];
      for (var i = 0, len = data.values.length; i < len; i++) {
        if (i < dayCount) {
          result.push('-');
          continue;
        }
        var sum = 0;
        for (var j = 0; j < dayCount; j++) {
          sum += data.values[i - j][1];
        }
        result.push(+(sum / dayCount)
          .toFixed(3));
      }
      return result;
    }
    var rawData = getData();
    var totalFlowRate = echarts.init(document.getElementById('totalFlowRate'));
    var data = splitData(rawData);
    var totalFlowRateOption = {
      backgroundColor: '#eee',
      animation: false,
      legend: { // 图例
        bottom: 10,
        left: 'center',
        data: ['Dow-Jones index', 'MA5', 'MA10', 'MA20', 'MA30']
      },
      tooltip: { // 鼠标悬浮-提示框
        trigger: 'axis',
        axisPointer: {
          type: 'cross'
        },
        backgroundColor: 'rgba(245, 245, 245, 0.8)',
        borderWidth: 1,
        borderColor: '#ccc',
        padding: 10,
        textStyle: {
          color: '#000'
        },
        position: function(pos, params, el, elRect, size) {
          var obj = {
            top: 10
          };
          obj[['left', 'right'][+(pos[0] < size.viewSize[0] / 2)]] = 30;
          return obj;
        },
        extraCssText: 'width: 170px'
      },
      axisPointer: {
        link: {
          xAxisIndex: 'all'
        },
        label: {
          backgroundColor: '#777'
        }
      },
      toolbox: {
        feature: {
          dataZoom: { //数据区域缩放
            yAxisIndex: false
          },
          brush: {
            type: ['lineX', 'clear']
          }
        }
      },
      brush: {
        xAxisIndex: 'all',
        brushLink: 'all',
        outOfBrush: {
          colorAlpha: 0.1
        }
      },
      grid: [{
          left: '10%',
          right: '8%',
          height: '50%'
        },
        {
          left: '10%',
          right: '8%',
          bottom: '20%',
          height: '15%'
        }
      ],
      xAxis: [{
          type: 'category',
          data: data.categoryData,
          scale: true,
          boundaryGap: false,
          axisLine: {
            onZero: false
          },
          splitLine: {
            show: false
          },
          splitNumber: 20,
          min: 'dataMin',
          max: 'dataMax',
          axisPointer: {
            z: 100
          }
        },
        {
          type: 'category',
          gridIndex: 1,
          data: data.categoryData,
          scale: true,
          boundaryGap: false,
          axisLine: {
            onZero: false
          },
          axisTick: {
            show: false
          },
          splitLine: {
            show: false
          },
          axisLabel: {
            show: false
          },
          splitNumber: 20,
          min: 'dataMin',
          max: 'dataMax',
          axisPointer: {
            label: {
              formatter: function(params) {
                var seriesValue = (params.seriesData[0] || {})
                  .value;
                return params.value +
                  (seriesValue != null ?
                    '\n' + echarts.format.addCommas(seriesValue) :
                    ''
                  );
              }
            }
          }
        }
      ],
      yAxis: [{
          scale: true,
          splitArea: {
            show: true
          }
        },
        {
          scale: true,
          gridIndex: 1,
          splitNumber: 2,
          axisLabel: {
            show: false
          },
          axisLine: {
            show: false
          },
          axisTick: {
            show: false
          },
          splitLine: {
            show: false
          }
        }
      ],
      dataZoom: [{
          type: 'inside',
          xAxisIndex: [0, 1],
          start: 98,
          end: 100
        },
        {
          type: 'slider',
          xAxisIndex: [0, 1],
          start: 98,
          end: 100,
          //以下,本项独有
          top: '85%',
          show: true,
        }
      ],
      series: [{
          name: 'Dow-Jones index',
          type: 'candlestick',
          data: data.values,
          itemStyle: {
            normal: {
              color: '#06B800',
              color0: '#FA0000',
              borderColor: null,
              borderColor0: null
            }
          },
          tooltip: { // 鼠标悬浮-提示框
            formatter: function(param) {
              param = param[0];
              return [
                'Date: ' + param.name + '<hr size=1 style="margin: 3px 0">',
                'Open: ' + param.data[0] + '<br/>',
                'Close: ' + param.data[1] + '<br/>',
                'Lowest: ' + param.data[2] + '<br/>',
                'Highest: ' + param.data[3] + '<br/>'
              ].join('');
            }
          }
        },
        {
          name: 'MA5',
          type: 'line',
          data: calculateMA(5, data),
          smooth: true,
          lineStyle: {
            normal: {
              opacity: 0.5
            }
          }
        },
        {
          name: 'MA10',
          type: 'line',
          data: calculateMA(10, data),
          smooth: true,
          lineStyle: {
            normal: {
              opacity: 0.5
            }
          }
        },
        {
          name: 'MA20',
          type: 'line',
          data: calculateMA(20, data),
          smooth: true,
          lineStyle: {
            normal: {
              opacity: 0.5
            }
          }
        },
        {
          name: 'MA30',
          type: 'line',
          data: calculateMA(30, data),
          smooth: true,
          lineStyle: {
            normal: {
              opacity: 0.5
            }
          }
        },
        {
          name: 'Volumn',
          type: 'bar',
          xAxisIndex: 1,
          yAxisIndex: 1,
          data: data.volumns
        }
      ]
    };
    totalFlowRate.setOption(totalFlowRateOption, true);   
    function getData() {
      return 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,["2016-04-05",17718.03,17603.32,17579.56,17718.03,115230000],["2016-04-06",17605.45,17716.05,17542.54,17723.55,99410000],["2016-04-07",17687.28,17541.96,17484.23,17687.28,90120000],["2016-04-08",17555.39,17576.96,17528.16,17694.51,79990000],["2016-04-11",17586.48,17556.41,17555.9,17731.63,107100000],["2016-04-12",17571.34,17721.25,17553.57,17744.43,81020000],["2016-04-13",17741.66,17908.28,17741.66,17918.35,91710000],["2016-04-14",17912.25,17926.43,17885.44,17962.14,84510000],["2016-04-15",17925.95,17897.46,17867.41,17937.65,118160000],["2016-04-18",17890.2,18004.16,17848.22,18009.53,89390000],["2016-04-19",18012.1,18053.6,17984.43,18103.46,89820000],["2016-04-20",18059.49,18096.27,18031.21,18167.63,100210000],["2016-04-21",18092.84,17982.52,17963.89,18107.29,102720000],["2016-04-22",17985.05,18003.75,17909.89,18026.85,134120000],["2016-04-25",17990.94,17977.24,17855.55,17990.94,83770000],["2016-04-26",17987.38,17990.32,17934.17,18043.77,92570000],["2016-04-27",17996.14,18041.55,17920.26,18084.66,109090000],["2016-04-28",18023.88,17830.76,17796.55,18035.73,100920000],["2016-04-29",17813.09,17773.64,17651.98,17814.83,136670000],["2016-05-02",17783.78,17891.16,17773.71,17912.35,80100000],["2016-05-03",17870.75,17750.91,17670.88,17870.75,97060000],["2016-05-04",17735.02,17651.26,17609.01,17738.06,95020000],["2016-05-05",17664.48,17660.71,17615.82,17736.11,81530000],["2016-05-06",17650.3,17740.63,17580.38,17744.54,80020000],["2016-05-09",17743.85,17705.91,17668.38,17783.16,85590000],["2016-05-10",17726.66,17928.35,17726.66,17934.61,75790000],["2016-05-11",17919.03,17711.12,17711.05,17919.03,87390000],["2016-05-12",17711.12,17720.5,17625.38,17798.19,88560000],["2016-05-13",17711.12,17535.32,17512.48,17734.74,86640000],["2016-05-16",17531.76,17710.71,17531.76,17755.8,88440000],["2016-05-17",17701.46,17529.98,17469.92,17701.46,103260000],["2016-05-18",17501.28,17526.62,17418.21,17636.22,79120000],["2016-05-19",17514.16,17435.4,17331.07,17514.16,95530000],["2016-05-20",17437.32,17500.94,17437.32,17571.75,111990000],["2016-05-23",17507.04,17492.93,17480.05,17550.7,87790000],["2016-05-24",17525.19,17706.05,17525.19,17742.59,86480000],["2016-05-25",17735.09,17851.51,17735.09,17891.71,79180000],["2016-05-26",17859.52,17828.29,17803.82,17888.66,68940000],["2016-05-27",17826.85,17873.22,17824.73,17873.22,73190000],["2016-05-31",17891.5,17787.2,17724.03,17899.24,147390000],["2016-06-01",17754.55,17789.67,17664.79,17809.18,78530000],["2016-06-02",17789.05,17838.56,17703.55,17838.56,75560000],["2016-06-03",17799.8,17807.06,17689.68,17833.17,82270000],["2016-06-06",17825.69,17920.33,17822.81,17949.68,71870000],["2016-06-07",17936.22,17938.28,17936.22,18003.23,78750000],["2016-06-08",17931.91,18005.05,17931.91,18016,71260000],["2016-06-09",17969.98,17985.19,17915.88,18005.22,69690000],["2016-06-10",17938.82,17865.34,17812.34,17938.82,90540000],["2016-06-13",17830.5,17732.48,17731.35,17893.28,101690000],["2016-06-14",17710.77,17674.82,17595.79,17733.92,93740000],["2016-06-15",17703.65,17640.17,17629.01,17762.96,94130000],["2016-06-16",17602.23,17733.1,17471.29,17754.91,91950000],["2016-06-17",17733.44,17675.16,17602.78,17733.44,248680000],["2016-06-20",17736.87,17804.87,17736.87,17946.36,99380000],["2016-06-21",17827.33,17829.73,17799.8,17877.84,85130000],["2016-06-22",17832.67,17780.83,17770.36,17920.16,89440000]];
    }
  </script>

九、其他与问题
1、Echarts与Ppchart的关系
  (1)Ppchart,是服务器端的图表生成工具,依赖于PHP GD库来生成图表 
  (2)Echarts,是客户端的可视化工具,使用JavaScript实现的开源可视化库
  (3)也可以在PHP中集成Echarts进行数据可视化,步骤为
    A、在 PHP 页面中嵌入 HTML 和 JavaScript 代码
    B、在 HTML 中引入 Echarts 的 JavaScript 文件
    C、使用 PHP 生成数据,并在 JavaScript 中使用这些数据来配置 Echarts 图表
    D、示例.php文件,不可预览,来源百度搜索“ppchart与Echarts关系”
      <!DOCTYPE html>
      <html>
      <head>
        <meta charset="utf-8">
        <title>ECharts</title>
        <!-- 引入 ECharts 文件 -->
        <script src="https://cdn.bootcdn.net/ajax/libs/echarts/5.3.2/echarts.min.js"></script>
      </head>
      <body>
        <!-- 为 ECharts 准备一个具备大小(宽高)的 DOM 容器 -->
        <div id="main" style="width: 600px;height:400px;"></div>
        <script type="text/javascript">
          // 基于准备好的容器初始化 echarts 实例
          var myChart = echarts.init(document.getElementById('main'));
          // 指定图表的配置项和数据
          var option = {
              title: {
                  text: 'ECharts 示例'
              },
              tooltip: {},// 鼠标悬浮-提示框
              legend: {// 图例
                  data:['销量']
              },
              xAxis: {
                  data: <?php echo json_encode($xAxisData); ?>
              },
              yAxis: {},
              series: [{
                  name: '销量',
                  type: 'bar',
                  data: <?php echo json_encode($seriesData); ?>
              }]
          };
          // 使用刚指定的配置项和数据显示图表。
          myChart.setOption(option);
        </script>
      </body>
      </html>
2、水球图(水波图)实现,案例来源,data-open-porject
  <template>
    <div :id="uid"></div>
  </template>
  <script setup>
    import { nextTick, onMounted} from "vue";
    import { v4 as uuidV1 } from "uuid";
    import * as echarts from "echarts";
    import "echarts-liquidfill"
    const uid = ref(uuidV1());
    const props = defineProps({
      data: {
        type: Object,
        default: () => {},
      },
    });
    onMounted(() => {
      nextTick(() => {
        init()
      }) 
    });
    function init() {
      let Chart = echarts.init(document.getElementById(uid.value));
      var option = {
        series: [
          {
            type: "liquidFill",
            data: [0.6, 0.55, 0.4,],
            radius: '140%',
            label: {
              fontSize:18,
            }
          },
        ],
      };
      Chart.setOption(option);
    }
  </script>
3、部分问题原因与解决
  (1)echarts的tooltip偏移到下一项
    A、原因
      @media screen and (min-width: 1900px) {
        body{
          zoom:1.15;
        }
      }
    B、解决
      注掉上面代码
  (2)两个问题的共同解决方案
    A、问题1
      现象:页面刷新、父组件数据传给子组件后,子组件里面的eCharts图片不出现
      原因:父组件的异步数据传入前,子组件的onMounted就触发了,传入后,子组件的onUpdated也没触发,这些导致init函数没有绘制和更新图像
    B、问题2
      现象:父组件数据变化、传给子组件后,子组件里面的eCharts图片不改变
      原因:父组件的异步数据传入前,子组件的onUpdated就触发了,传入后,子组件的onUpdated也没触发,这些导致init函数没有更新图像
    C、共同原因:父组件的生命周期先开始,子组件的生命周期先结束
    D、共同方案:在setInterval时,在子组件的watch里,监听的props对象有改变时,触发init函数,更新(而不重绘)图像,页面不会闪烁
    E、淘汰方案:
      方案:<OperatePanelWater :data="activeUser" :key="Math.random()"></OperatePanelWater> 
      缺点:在setInterval时,不管props有没有改变,:key="Math.random()",都会让子组件的onMounted的init函数重绘图像,页面闪烁
  

  

posted @ 2019-06-03 11:07  WEB前端工程师_钱成  阅读(4866)  评论(0编辑  收藏  举报