1、ECharts之仪表盘、仪表盘镂空且导入外来图片、品牌车、不等距折线图、图片右侧空白再出图片、心电图、单环多数据、单环单数据、多环多数据、饼图效果、双折线、经纬度、树状图(从左到右)、拓扑图、10年经济指标、配置与问题(3650行)

一、仪表盘
<!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: {
      formatter: "{a} <br/>{b} : {c}%",
    },
    series: [
      {
        name: "业务指标",
        type: "gauge",
        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>

二、仪表盘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",
        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",
        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",
        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、品牌车
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>Title</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>
<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: {
      trigger: "axis",
      axisPointer: {
        type: "cross",
      },
    },
    legend: {
      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)" /*和图例legend关联*/,
        type: "bar",
        yAxisIndex: 0 /*坐标系左侧y轴*/,
        data: [69, 1152, 668, 1414, 2437, 1675, 3154],
        itemStyle: {
          normal: {
            color: "green",
          },
        },
        markPoint: {
          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: {
          data: [{yAxis: 69},
          {yAxis: 1152},
          {yAxis: 668},
          {yAxis: 1414},
          {yAxis: 2437},
          {yAxis: 1675},
          {yAxis: 3154}
          ]
          }*/,
      },
      {
        name: "时间(小时)" /*和图例legend关联*/,
        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: {
          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: {
          data: [{yAxis: 131},
          {yAxis: 41},
          {yAxis: 111},
          {yAxis: 51},
          {yAxis: 71},
          {yAxis: 171},
          {yAxis: 71}
          ]
          }*/,
      },
    ],
  };
  myCarBrandAvgRunChart.setOption(optionCarBrandAvgRun);

</script>
</body>
</html>

四、不等距折线图
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="utf-8">
  <title>不等距折线图</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: {
      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>
 
五、图片右侧空白再出图片
<!DOCTYPE html>
<html lang="en" ng-app="myModel">
<head>
  <meta charset="UTF-8">
  <title>select</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: {
        trigger: "axis",
        axisPointer: {
          type: "cross",
        },
      },
      grid: {
        left: 50,
        right: 15,
      },
      legend: {
        /*  
        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: {areaStyle: {type: 'default'}}},*/
        itemStyle: {
          normal: {
            lineStyle: {
              color: "#92c2ff" /*折线的颜色*/,
            },
            color: "#66b3ff" /*图例(legend)的颜色,不是图例说明文字的颜色*/,
          },
        },
        areaStyle: {
          normal: {
            color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
              { offset: 0, color: "#66b3ff" },
              { 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*/,
      },
    };
    //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>

六、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: '#ffffff',
      animation:false,
      title: {
          text: '总流量(kbps)'/*,
          left:"110px"*/
      },
      tooltip: {
          trigger: 'axis',
          axisPointer: {
              type: 'cross'
          }
      },
      grid: {
          left: 50/*"50px"*/,
          right: 15/*"15px"*/
      },
      legend: {
          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: {areaStyle: {type: 'default'}}},*/
        itemStyle : {
          normal : {
            lineStyle:{
              color:'#92c2ff'/*折线的颜色*/
            },
            color:"#66b3ff"/*图例(legend)的颜色,不是图例说明文字的颜色*/
          }
        },
        areaStyle: {normal: {
          color: new echarts.graphic.LinearGradient(
            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>

七、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: {
            trigger: 'item',
            formatter: "{a} <br/>{b}: {c} ({d}%)"
        },
        legend: {
            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>

八、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>

九、多环多数据
<!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:350px;width:900px"></div>
</body>
</html>
<script type="text/javascript">
    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: {
            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);
</script>

十、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: {
            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>

十一、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: {
			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: {
					yAxisIndex: "none",
				},
				restore: {},
				saveAsImage: {},
			},
		},
		axisPointer: {
			link: { xAxisIndex: "all" },
		},
		dataZoom: [
			{
				top: "40",
				show: true,
				realtime: true,
				start: 0,
				end: 100,
				xAxisIndex: [0, 1],
                labelFormatter: function (value) {
                   return dates[value].substring(8, 10) +
                          ":" +
                          dates[value].substring(10, 12);
                },
			},
			{
				type: "inside",//用户可以在坐标系上通过鼠标拖拽、鼠标滚轮、手指滑动(触屏上)来缩放或漫游坐标系
				realtime: true,
				start: 30,
				end: 70,
				xAxisIndex: [0, 1],
			},
		],
		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>

十二、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>

十三、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: {
        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>

十四、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: {},
    legend: [{
      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 = [
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        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
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      {
        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
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      {
        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
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      {
        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
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        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
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      {
        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
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        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
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      {
        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
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      {
        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 },
        category: 1,
        id: "15",
        itemStyle: null,
        label: { normal: { show: false } },
        name: "Gervais",
        symbolSize: 2.6666666666666665,
        value: 4,
        x: -127.701546,
        y: 242.55057
      },
      {
        attributes: { modularity_class: 2 },
        category: 2,
        id: "16",
        itemStyle: null,
        label: { normal: { show: true } },
        name: "Tholomyes",
        symbolSize: 17.295237333333333,
        value: 25.942856,
        x: -385.2226,
        y: -393.5572
      },
      {
        attributes: { modularity_class: 2 },
        category: 2,
        id: "17",
        itemStyle: null,
        label: { normal: { show: true } },
        name: "Listolier",
        symbolSize: 13.638097333333334,
        value: 20.457146,
        x: -516.55884,
        y: -393.98975
      },
      {
        attributes: { modularity_class: 2 },
        category: 2,
        id: "18",
        itemStyle: null,
        label: { normal: { show: true } },
        name: "Fameuil",
        symbolSize: 13.638097333333334,
        value: 20.457146,
        x: -464.79382,
        y: -493.57944
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      {
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        category: 2,
        id: "19",
        itemStyle: null,
        label: { normal: { show: true } },
        name: "Blacheville",
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        value: 20.457146,
        x: -515.1624,
        y: -456.9891
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      {
        attributes: { modularity_class: 2 },
        category: 2,
        id: "20",
        itemStyle: null,
        label: { normal: { show: true } },
        name: "Favourite",
        symbolSize: 13.638097333333334,
        value: 20.457146,
        x: -408.12122,
        y: -464.5048
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      {
        attributes: { modularity_class: 2 },
        category: 2,
        id: "21",
        itemStyle: null,
        label: { normal: { show: true } },
        name: "Dahlia",
        symbolSize: 13.638097333333334,
        value: 20.457146,
        x: -456.44113,
        y: -425.13303
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        attributes: { modularity_class: 2 },
        category: 2,
        id: "22",
        itemStyle: null,
        label: { normal: { show: true } },
        name: "Zephine",
        symbolSize: 13.638097333333334,
        value: 20.457146,
        x: -459.1107,
        y: -362.5133
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      {
        attributes: { modularity_class: 2 },
        category: 2,
        id: "23",
        itemStyle: null,
        label: { normal: { show: true } },
        name: "Fantine",
        symbolSize: 28.266666666666666,
        value: 42.4,
        x: -313.42786,
        y: -289.44803
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        itemStyle: null,
        label: { normal: { show: true } },
        name: "MmeThenardier",
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        x: 4.6313396,
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        label: { normal: { show: true } },
        name: "Thenardier",
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        x: 82.80825,
        y: -203.1144
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        category: 6,
        id: "26",
        itemStyle: null,
        label: { normal: { show: true } },
        name: "Cosette",
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        x: 78.64646,
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        attributes: { modularity_class: 7 },
        category: 7,
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        itemStyle: null,
        label: { normal: { show: true } },
        name: "Javert",
        symbolSize: 31.923806666666668,
        value: 47.88571,
        x: -81.46074,
        y: -204.20204
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      {
        attributes: { modularity_class: 4 },
        category: 4,
        id: "28",
        itemStyle: null,
        label: { normal: { show: false } },
        name: "Fauchelevent",
        symbolSize: 8.152382000000001,
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        x: -225.73984,
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        itemStyle: null,
        label: { normal: { show: true } },
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        symbolSize: 15.466666666666667,
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        x: -385.6842,
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        itemStyle: null,
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        itemStyle: null,
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        name: "Scaufflaire",
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        itemStyle: null,
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    return {
      nodes: nodes,
      links: links
    }
  }
</script>

十五、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>
<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;
    }

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        //max : 60000,
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        2010:[14113.58,9224.46,20394.26,9200.86,11672,18457.27,8667.58,10368.6,17165.98,41425.48,27722.31,12359.33,14737.12,9451.26,39169.92,23092.36,15967.61,16037.96,46013.06,9569.85,2064.5,7925.58,17185.48,4602.16,7224.18,507.46,10123.48,4120.75,1350.43,1689.65,5437.47],
        2009:[12153.03,7521.85,17235.48,7358.31,9740.25,15212.49,7278.75,8587,15046.45,34457.3,22990.35,10062.82,12236.53,7655.18,33896.65,19480.46,12961.1,13059.69,39482.56,7759.16,1654.21,6530.01,14151.28,3912.68,6169.75,441.36,8169.8,3387.56,1081.27,1353.31,4277.05],
        2008:[11115,6719.01,16011.97,7315.4,8496.2,13668.58,6426.1,8314.37,14069.87,30981.98,21462.69,8851.66,10823.01,6971.05,30933.28,18018.53,11328.92,11555,36796.71,7021,1503.06,5793.66,12601.23,3561.56,5692.12,394.85,7314.58,3166.82,1018.62,1203.92,4183.21],
        2007:[9846.81,5252.76,13607.32,6024.45,6423.18,11164.3,5284.69,7104,12494.01,26018.48,18753.73,7360.92,9248.53,5800.25,25776.91,15012.46,9333.4,9439.6,31777.01,5823.41,1254.17,4676.13,10562.39,2884.11,4772.52,341.43,5757.29,2703.98,797.35,919.11,3523.16],
        2006:[8117.78,4462.74,11467.6,4878.61,4944.25,9304.52,4275.12,6211.8,10572.24,21742.05,15718.47,6112.5,7583.85,4820.53,21900.19,12362.79,7617.47,7688.67,26587.76,4746.16,1065.67,3907.23,8690.24,2338.98,3988.14,290.76,4743.61,2277.35,648.5,725.9,3045.26],
        2005:[6969.52,3905.64,10012.11,4230.53,3905.03,8047.26,3620.27,5513.7,9247.66,18598.69,13417.68,5350.17,6554.69,4056.76,18366.87,10587.42,6590.19,6596.1,22557.37,3984.1,918.75,3467.72,7385.1,2005.42,3462.73,248.8,3933.72,1933.98,543.32,612.61,2604.19],
        2004:[6033.21,3110.97,8477.63,3571.37,3041.07,6672,3122.01,4750.6,8072.83,15003.6,11648.7,4759.3,5763.35,3456.7,15021.84,8553.79,5633.24,5641.94,18864.62,3433.5,819.66,3034.58,6379.63,1677.8,3081.91,220.34,3175.58,1688.49,466.1,537.11,2209.09],
        2003:[5007.21,2578.03,6921.29,2855.23,2388.38,6002.54,2662.08,4057.4,6694.23,12442.87,9705.02,3923.11,4983.67,2807.41,12078.15,6867.7,4757.45,4659.99,15844.64,2821.11,713.96,2555.72,5333.09,1426.34,2556.02,185.09,2587.72,1399.83,390.2,445.36,1886.35],
        2002:[4315,2150.76,6018.28,2324.8,1940.94,5458.22,2348.54,3637.2,5741.03,10606.85,8003.67,3519.72,4467.55,2450.48,10275.5,6035.48,4212.82,4151.54,13502.42,2523.73,642.73,2232.86,4725.01,1243.43,2312.82,162.04,2253.39,1232.03,340.65,377.16,1612.6]
    });

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        //max : 4000,
        2011:[136.27,159.72,2905.73,641.42,1306.3,1915.57,1277.44,1701.5,124.94,3064.78,1583.04,2015.31,1612.24,1391.07,3973.85,3512.24,2569.3,2768.03,2665.2,2047.23,659.23,844.52,2983.51,726.22,1411.01,74.47,1220.9,678.75,155.08,184.14,1139.03],
        2010:[124.36,145.58,2562.81,554.48,1095.28,1631.08,1050.15,1302.9,114.15,2540.1,1360.56,1729.02,1363.67,1206.98,3588.28,3258.09,2147,2325.5,2286.98,1675.06,539.83,685.38,2482.89,625.03,1108.38,68.72,988.45,599.28,134.92,159.29,1078.63],
        2009:[118.29,128.85,2207.34,477.59,929.6,1414.9,980.57,1154.33,113.82,2261.86,1163.08,1495.45,1182.74,1098.66,3226.64,2769.05,1795.9,1969.69,2010.27,1458.49,462.19,606.8,2240.61,550.27,1067.6,63.88,789.64,497.05,107.4,127.25,759.74],
        2008:[112.83,122.58,2034.59,313.58,907.95,1302.02,916.72,1088.94,111.8,2100.11,1095.96,1418.09,1158.17,1060.38,3002.65,2658.78,1780,1892.4,1973.05,1453.75,436.04,575.4,2216.15,539.19,1020.56,60.62,753.72,462.27,105.57,118.94,691.07],
        2007:[101.26,110.19,1804.72,311.97,762.1,1133.42,783.8,915.38,101.84,1816.31,986.02,1200.18,1002.11,905.77,2509.14,2217.66,1378,1626.48,1695.57,1241.35,361.07,482.39,2032,446.38,837.35,54.89,592.63,387.55,83.41,97.89,628.72],
        2006:[88.8,103.35,1461.81,276.77,634.94,939.43,672.76,750.14,93.81,1545.05,925.1,1011.03,865.98,786.14,2138.9,1916.74,1140.41,1272.2,1532.17,1032.47,323.48,386.38,1595.48,382.06,724.4,50.9,484.81,334,67.55,79.54,527.8],
        2005:[88.68,112.38,1400,262.42,589.56,882.41,625.61,684.6,90.26,1461.51,892.83,966.5,827.36,727.37,1963.51,1892.01,1082.13,1100.65,1428.27,912.5,300.75,463.4,1481.14,368.94,661.69,48.04,435.77,308.06,65.34,72.07,509.99],
        2004:[87.36,105.28,1370.43,276.3,522.8,798.43,568.69,605.79,83.45,1367.58,814.1,950.5,786.84,664.5,1778.45,1649.29,1020.09,1022.45,1248.59,817.88,278.76,428.05,1379.93,334.5,607.75,44.3,387.88,286.78,60.7,65.33,461.26],
        2003:[84.11,89.91,1064.05,215.19,420.1,615.8,488.23,504.8,81.02,1162.45,717.85,749.4,692.94,560,1480.67,1198.7,798.35,886.47,1072.91,658.78,244.29,339.06,1128.61,298.69,494.6,40.7,302.66,237.91,48.47,55.63,412.9],
        2002:[82.44,84.21,956.84,197.8,374.69,590.2,446.17,474.2,79.68,1110.44,685.2,783.66,664.78,535.98,1390,1288.36,707,847.25,1015.08,601.99,222.89,317.87,1047.95,281.1,463.44,39.75,282.21,215.51,47.31,52.95,305]
    });

    dataMap.dataSI = dataFormatter({
        //max : 26600,
        2011:[3752.48,5928.32,13126.86,6635.26,8037.69,12152.15,5611.48,5962.41,7927.89,25203.28,16555.58,8309.38,9069.2,6390.55,24017.11,15427.08,9815.94,9361.99,26447.38,5675.32,714.5,5543.04,11029.13,2194.33,3780.32,208.79,6935.59,2377.83,975.18,1056.15,3225.9],
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                // },
                data: [
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                        symbol: 'diamond',
                        symbolSize: 16
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                }
            },
            title: {
                subtext: '数据来自国家统计局'
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                data: ['第一产业', '第二产业', '第三产业'],
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                        {name: '第三产业', value: dataMap.dataTI['2006sum']}
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            {
                title : {text: '2007全国宏观经济指标'},
                series : [
                    {data: dataMap.dataGDP['2007']},
                    {data: dataMap.dataFinancial['2007']},
                    {data: dataMap.dataEstate['2007']},
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                        {name: '第三产业', value: dataMap.dataTI['2007sum']}
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                ]
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            },
            {
                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>
</body>
</html>
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">
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        var values = [];
        var volumns = [];
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            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: {
            bottom: 10,
            left: 'center',
            data: ['Dow-Jones index', 'MA5', 'MA10', 'MA20', 'MA30']
        },
        tooltip: {
            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'
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        },
        toolbox: {
            feature: {
                dataZoom: {
                    yAxisIndex: false
                },
                brush: {
                    type: ['lineX', 'clear']
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        brush: {
            xAxisIndex: 'all',
            brushLink: 'all',
            outOfBrush: {
                colorAlpha: 0.1
            }
        },
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            {
                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
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            {
                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;
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        yAxis: [
            {
                scale: true,
                splitArea: {
                    show: true
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            {
                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
            },
            {
                show: true,
                xAxisIndex: [0, 1],
                type: 'slider',
                top: '85%',
                start: 98,
                end: 100
            }
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            {
                name: 'Dow-Jones index',
                type: 'candlestick',
                data: data.values,
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                        color: '#06B800',
                        color0: '#FA0000',
                        borderColor: null,
                        borderColor0: null
                    }
                },
                tooltip: {
                    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
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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>

十六、配置与问题
1、部分配置说明
  (1)series
    series: [
      {
        type: 'pie',
        data: [
          { name:'GoogleMaps', value:150,itemStyle : labelTop },
          { name:'other', value:50, itemStyle : labelBottom }//一个name对应一个值
        ]
      }
    ]
    series: [
      {
        type: 'bar',
        name: '超高危资产',//组项name,一个name对应多个值
        data: [150,50],//y值
      }
    ]
  (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: {},
          tooltip: {},
          dataset: {
            source: [//x轴组,组项name、y值;
              ['X轴组', 'name1', 'name2', 'name3'],
              ['2015', 43.3, 85.8, 93.7],
              ['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],
            ]
          },
          xAxis: { type: 'category' },
          yAxis: {},
          series: [{ type: 'bar' }, { type: 'bar' }, { type: 'bar' }]
        };
        totalFlowRate.setOption(option);
    </script>
2、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

十七、其他
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: {},
                  legend: {
                      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>

  

posted @ 2019-06-03 11:07  WEB前端工程师_钱成  阅读(4679)  评论(0编辑  收藏  举报