一、准备

1.  打开sublime，新建一个echarts文件夹，新建echarts.html文件

2.  在echarts.html文件中，为ECharts准备一个Dom（id是china-map的div）

　  

3.  引入echarts

  • 下载echarts.min.js文件。下载地址。<script>标签引入该文件。
  • 在线引入jquery，并在<script>标签中引入。
  • 下载china.js, 下载链接:提取码: u73w; <script>标签引入该文件。

　　　　有一个小坑，想使用china.js必须使用echarts.min.js（即：精简版）;  引入echarts.common.min.js是无效的。

　　　　　　　　　

二、配置地图

  • 地图一：（采用了echarts2的相关配置）
  1. <!DOCTYPE html>
  2. <html>
  3. <head>
  4.     <meta charset="UTF-8">
  5.     <meta http-equiv="X-UA-Compatible" content="IE=EDGE">
  6.     <title>ECharts</title>
  7.     <!--<link rel="stylesheet" type="text/css" href="css/main.css"/>-->
  8.     <script src="http://code.jquery.com/jquery-1.4.1.min.js"></script>
  9.     <script src="echarts.min.js"></script>
  10.     <script src="china.js"></script>
  11.     <style>#china-map {width:1000px; height: 1000px;margin: auto;}</style>
  12. </head>
  13. <body>
  14. <div id="china-map"></div>
  15. <script>
  16.     var myChart = echarts.init(document.getElementById('china-map'));
  17.     var option = {
  18.         title : {
  19.             text: '订单量',
  20.             subtext: '纯属虚构',
  21.             x:'center'
  22.         },
  23.         tooltip : {//提示框组件。
  24.             trigger: 'item'//数据项图形触发，主要在散点图，饼图等无类目轴的图表中使用。
  25.         },
  26.         legend: {
  27.             orient: 'horizontal',//图例的排列方向
  28.             x:'left',//图例的位置
  29.             data:['订单量']
  30.         },
  31.  
  32.         visualMap: {//颜色的设置  dataRange
  33.             x: 'left',
  34.             y: 'center',
  35.             splitList: [
  36.                 {start: 1500},
  37.                 {start: 900, end: 1500},
  38.                 {start: 310, end: 1000},
  39.                 {start: 200, end: 300},
  40.                 {start: 10, end: 200, label: '10 到 200（自定义label）'},
  41.                 {start: 5, end: 5, label: '5（自定义特殊颜色）', color: 'black'},
  42.                 {end: 10}
  43.             ],
  44. //            min: 0,
  45. //            max: 2500,
  46. //            calculable : true,//颜色呈条状
  47.             text:['高','低'],// 文本，默认为数值文本
  48.             color: ['#E0022B', '#E09107', '#A3E00B']
  49.         },
  50.         toolbox: {//工具栏
  51.             show: true,
  52.             orient : 'vertical',//工具栏 icon 的布局朝向
  53.             x: 'right',
  54.             y: 'center',
  55.             feature : {//各工具配置项。
  56.                 mark : {show: true},
  57.                 dataView : {show: true, readOnly: false},//数据视图工具，可以展现当前图表所用的数据，编辑后可以动态更新。
  58.                 restore : {show: true},//配置项还原。
  59.                 saveAsImage : {show: true}//保存为图片。
  60.             }
  61.         },
  62.         roamController: {//控制地图的上下左右放大缩小 图上没有显示
  63.             show: true,
  64.             x: 'right',
  65.             mapTypeControl: {
  66.                 'china': true
  67.             }
  68.         },
  69.         series : [
  70.             {
  71.                 name: '订单量',
  72.                 type: 'map',
  73.                 mapType: 'china',
  74.                 roam: false,//是否开启鼠标缩放和平移漫游
  75.                 itemStyle:{//地图区域的多边形 图形样式
  76.                     normal:{//是图形在默认状态下的样式
  77.                         label:{
  78.                             show:true,//是否显示标签
  79.                             textStyle: {
  80.                                 color: "rgb(249, 249, 249)"
  81.                             }
  82.                         }
  83.                     },
  84.                     emphasis:{//是图形在高亮状态下的样式,比如在鼠标悬浮或者图例联动高亮时
  85.                         label:{show:true}
  86.                     }
  87.                 },
  88.                 top:"3%",//组件距离容器的距离
  89.                 data:[
  90.                     {name: '北京',value: Math.round(Math.random()*2000)},
  91.                     {name: '天津',value: Math.round(Math.random()*2000)},
  92.                     {name: '上海',value: Math.round(Math.random()*2000)},
  93.                     {name: '重庆',value: Math.round(Math.random()*2000)},
  94.                     {name: '河北',value: 0},
  95.                     {name: '河南',value: Math.round(Math.random()*2000)},
  96.                     {name: '云南',value: 5},
  97.                     {name: '辽宁',value: 305},
  98.                     {name: '黑龙江',value: Math.round(Math.random()*2000)},
  99.                     {name: '湖南',value: 200},
  100.                     {name: '安徽',value: Math.round(Math.random()*2000)},
  101.                     {name: '山东',value: Math.round(Math.random()*2000)},
  102.                     {name: '新疆',value: Math.round(Math.random()*2000)},
  103.                     {name: '江苏',value: Math.round(Math.random()*2000)},
  104.                     {name: '浙江',value: Math.round(Math.random()*2000)},
  105.                     {name: '江西',value: Math.round(Math.random()*2000)},
  106.                     {name: '湖北',value: Math.round(Math.random()*2000)},
  107.                     {name: '广西',value: Math.round(Math.random()*2000)},
  108.                     {name: '甘肃',value: Math.round(Math.random()*2000)},
  109.                     {name: '山西',value: Math.round(Math.random()*2000)},
  110.                     {name: '内蒙古',value: Math.round(Math.random()*2000)},
  111.                     {name: '陕西',value: Math.round(Math.random()*2000)},
  112.                     {name: '吉林',value: Math.round(Math.random()*2000)},
  113.                     {name: '福建',value: Math.round(Math.random()*2000)},
  114.                     {name: '贵州',value: Math.round(Math.random()*2000)},
  115.                     {name: '广东',value: Math.round(Math.random()*2000)},
  116.                     {name: '青海',value: Math.round(Math.random()*2000)},
  117.                     {name: '西藏',value: Math.round(Math.random()*2000)},
  118.                     {name: '四川',value: Math.round(Math.random()*2000)},
  119.                     {name: '宁夏',value: Math.round(Math.random()*2000)},
  120.                     {name: '海南',value: Math.round(Math.random()*2000)},
  121.                     {name: '台湾',value: Math.round(Math.random()*2000)},
  122.                     {name: '香港',value: Math.round(Math.random()*2000)},
  123.                     {name: '澳门',value: Math.round(Math.random()*2000)}
  124.                 ]
  125.             }
  126.         ]
  127.     };
  128.     myChart.setOption(option);
  129.     myChart.on('mouseover', function (params) {
  130.         var dataIndex = params.dataIndex;
  131.         console.log(params);
  132.     });
  133. </script>
  134. </body>
  135. </html>

效果图：

　　

  • 地图二：（采用了echarts4的相关配置）
  1. <!DOCTYPE html>
  2. <html>
  3. <head>
  4.     <meta charset="UTF-8">
  5.     <meta http-equiv="X-UA-Compatible" content="IE=EDGE">
  6.     <title>ECharts</title>
  7.     <!--<link rel="stylesheet" type="text/css" href="css/main.css"/>-->
  8.     <script src="http://code.jquery.com/jquery-1.4.1.min.js"></script>
  9.     <script src="echarts.min.js"></script>
  10.     <script src="china.js"></script>
  11.     <style>#china-map {width:1000px; height: 1000px;margin: auto;}</style>
  12. </head>
  13. <body>
  14. <div id="china-map"></div>
  15. <script>
  16.  
  17.     var myChart = echarts.init(document.getElementById('china-map'));
  18.     var geoCoordMap = {
  19.         "海门":[121.15,31.89],
  20.         "鄂尔多斯":[109.781327,39.608266],
  21.         "招远":[120.38,37.35],
  22.         "舟山":[122.207216,29.985295],
  23.         "齐齐哈尔":[123.97,47.33],
  24.         "盐城":[120.13,33.38],
  25.         "赤峰":[118.87,42.28],
  26.         "青岛":[120.33,36.07],
  27.         "乳山":[121.52,36.89],
  28.         "金昌":[102.188043,38.520089],
  29.         "泉州":[118.58,24.93],
  30.         "莱西":[120.53,36.86],
  31.         "日照":[119.46,35.42],
  32.         "胶南":[119.97,35.88],
  33.         "南通":[121.05,32.08],
  34.         "拉萨":[91.11,29.97],
  35.         "云浮":[112.02,22.93],
  36.         "梅州":[116.1,24.55],
  37.         "文登":[122.05,37.2],
  38.         "上海":[121.48,31.22],
  39.         "攀枝花":[101.718637,26.582347],
  40.         "威海":[122.1,37.5],
  41.         "承德":[117.93,40.97],
  42.         "厦门":[118.1,24.46],
  43.         "汕尾":[115.375279,22.786211],
  44.         "潮州":[116.63,23.68],
  45.         "丹东":[124.37,40.13],
  46.         "太仓":[121.1,31.45],
  47.         "曲靖":[103.79,25.51],
  48.         "烟台":[121.39,37.52],
  49.         "福州":[119.3,26.08],
  50.         "瓦房店":[121.979603,39.627114],
  51.         "即墨":[120.45,36.38],
  52.         "抚顺":[123.97,41.97],
  53.         "玉溪":[102.52,24.35],
  54.         "张家口":[114.87,40.82],
  55.         "阳泉":[113.57,37.85],
  56.         "莱州":[119.942327,37.177017],
  57.         "湖州":[120.1,30.86],
  58.         "汕头":[116.69,23.39],
  59.         "昆山":[120.95,31.39],
  60.         "宁波":[121.56,29.86],
  61.         "湛江":[110.359377,21.270708],
  62.         "揭阳":[116.35,23.55],
  63.         "荣成":[122.41,37.16],
  64.         "连云港":[119.16,34.59],
  65.         "葫芦岛":[120.836932,40.711052],
  66.         "常熟":[120.74,31.64],
  67.         "东莞":[113.75,23.04],
  68.         "河源":[114.68,23.73],
  69.         "淮安":[119.15,33.5],
  70.         "泰州":[119.9,32.49],
  71.         "南宁":[108.33,22.84],
  72.         "营口":[122.18,40.65],
  73.         "惠州":[114.4,23.09],
  74.         "江阴":[120.26,31.91],
  75.         "蓬莱":[120.75,37.8],
  76.         "韶关":[113.62,24.84],
  77.         "嘉峪关":[98.289152,39.77313],
  78.         "广州":[113.23,23.16],
  79.         "延安":[109.47,36.6],
  80.         "太原":[112.53,37.87],
  81.         "清远":[113.01,23.7],
  82.         "中山":[113.38,22.52],
  83.         "昆明":[102.73,25.04],
  84.         "寿光":[118.73,36.86],
  85.         "盘锦":[122.070714,41.119997],
  86.         "长治":[113.08,36.18],
  87.         "深圳":[114.07,22.62],
  88.         "珠海":[113.52,22.3],
  89.         "宿迁":[118.3,33.96],
  90.         "咸阳":[108.72,34.36],
  91.         "铜川":[109.11,35.09],
  92.         "平度":[119.97,36.77],
  93.         "佛山":[113.11,23.05],
  94.         "海口":[110.35,20.02],
  95.         "江门":[113.06,22.61],
  96.         "章丘":[117.53,36.72],
  97.         "肇庆":[112.44,23.05],
  98.         "大连":[121.62,38.92],
  99.         "临汾":[111.5,36.08],
  100.         "吴江":[120.63,31.16],
  101.         "石嘴山":[106.39,39.04],
  102.         "沈阳":[123.38,41.8],
  103.         "苏州":[120.62,31.32],
  104.         "茂名":[110.88,21.68],
  105.         "嘉兴":[120.76,30.77],
  106.         "长春":[125.35,43.88],
  107.         "胶州":[120.03336,36.264622],
  108.         "银川":[106.27,38.47],
  109.         "张家港":[120.555821,31.875428],
  110.         "三门峡":[111.19,34.76],
  111.         "锦州":[121.15,41.13],
  112.         "南昌":[115.89,28.68],
  113.         "柳州":[109.4,24.33],
  114.         "三亚":[109.511909,18.252847],
  115.         "自贡":[104.778442,29.33903],
  116.         "吉林":[126.57,43.87],
  117.         "阳江":[111.95,21.85],
  118.         "泸州":[105.39,28.91],
  119.         "西宁":[101.74,36.56],
  120.         "宜宾":[104.56,29.77],
  121.         "呼和浩特":[111.65,40.82],
  122.         "成都":[104.06,30.67],
  123.         "大同":[113.3,40.12],
  124.         "镇江":[119.44,32.2],
  125.         "桂林":[110.28,25.29],
  126.         "张家界":[110.479191,29.117096],
  127.         "宜兴":[119.82,31.36],
  128.         "北海":[109.12,21.49],
  129.         "西安":[108.95,34.27],
  130.         "金坛":[119.56,31.74],
  131.         "东营":[118.49,37.46],
  132.         "牡丹江":[129.58,44.6],
  133.         "遵义":[106.9,27.7],
  134.         "绍兴":[120.58,30.01],
  135.         "扬州":[119.42,32.39],
  136.         "常州":[119.95,31.79],
  137.         "潍坊":[119.1,36.62],
  138.         "重庆":[106.54,29.59],
  139.         "台州":[121.420757,28.656386],
  140.         "南京":[118.78,32.04],
  141.         "滨州":[118.03,37.36],
  142.         "贵阳":[106.71,26.57],
  143.         "无锡":[120.29,31.59],
  144.         "本溪":[123.73,41.3],
  145.         "克拉玛依":[84.77,45.59],
  146.         "渭南":[109.5,34.52],
  147.         "马鞍山":[118.48,31.56],
  148.         "宝鸡":[107.15,34.38],
  149.         "焦作":[113.21,35.24],
  150.         "句容":[119.16,31.95],
  151.         "北京":[116.46,39.92],
  152.         "徐州":[117.2,34.26],
  153.         "衡水":[115.72,37.72],
  154.         "包头":[110,40.58],
  155.         "绵阳":[104.73,31.48],
  156.         "乌鲁木齐":[87.68,43.77],
  157.         "枣庄":[117.57,34.86],
  158.         "杭州":[120.19,30.26],
  159.         "淄博":[118.05,36.78],
  160.         "鞍山":[122.85,41.12],
  161.         "溧阳":[119.48,31.43],
  162.         "库尔勒":[86.06,41.68],
  163.         "安阳":[114.35,36.1],
  164.         "开封":[114.35,34.79],
  165.         "济南":[117,36.65],
  166.         "德阳":[104.37,31.13],
  167.         "温州":[120.65,28.01],
  168.         "九江":[115.97,29.71],
  169.         "邯郸":[114.47,36.6],
  170.         "临安":[119.72,30.23],
  171.         "兰州":[103.73,36.03],
  172.         "沧州":[116.83,38.33],
  173.         "临沂":[118.35,35.05],
  174.         "南充":[106.110698,30.837793],
  175.         "天津":[117.2,39.13],
  176.         "富阳":[119.95,30.07],
  177.         "泰安":[117.13,36.18],
  178.         "诸暨":[120.23,29.71],
  179.         "郑州":[113.65,34.76],
  180.         "哈尔滨":[126.63,45.75],
  181.         "聊城":[115.97,36.45],
  182.         "芜湖":[118.38,31.33],
  183.         "唐山":[118.02,39.63],
  184.         "平顶山":[113.29,33.75],
  185.         "邢台":[114.48,37.05],
  186.         "德州":[116.29,37.45],
  187.         "济宁":[116.59,35.38],
  188.         "荆州":[112.239741,30.335165],
  189.         "宜昌":[111.3,30.7],
  190.         "义乌":[120.06,29.32],
  191.         "丽水":[119.92,28.45],
  192.         "洛阳":[112.44,34.7],
  193.         "秦皇岛":[119.57,39.95],
  194.         "株洲":[113.16,27.83],
  195.         "石家庄":[114.48,38.03],
  196.         "莱芜":[117.67,36.19],
  197.         "常德":[111.69,29.05],
  198.         "保定":[115.48,38.85],
  199.         "湘潭":[112.91,27.87],
  200.         "金华":[119.64,29.12],
  201.         "岳阳":[113.09,29.37],
  202.         "长沙":[113,28.21],
  203.         "衢州":[118.88,28.97],
  204.         "廊坊":[116.7,39.53],
  205.         "菏泽":[115.480656,35.23375],
  206.         "合肥":[117.27,31.86],
  207.         "武汉":[114.31,30.52],
  208.         "大庆":[125.03,46.58]
  209.     };
  210.  
  211.     var convertData = function (data) {
  212.         var res = [];
  213.         for (var i = 0; i < data.length; i++) {
  214.             var geoCoord = geoCoordMap[data[i].name];
  215.             if (geoCoord) {
  216.                 res.push(geoCoord.concat(data[i].value));
  217.             }
  218.         }
  219.         return res;
  220.     };
  221.  
  222.     option = {
  223.         backgroundColor: '#041452',
  224.         title: {
  225.             text: '',
  226.             subtext: '',
  227.             left: 'center',
  228.             textStyle: {
  229.                 color: '#fff'
  230.             }
  231.         },
  232.         tooltip: {
  233.             trigger: 'item'
  234.         },
  235.         legend: {
  236.             orient: 'vertical',
  237.             top: 'bottom',
  238.             left: 'right',
  239.             data:[ ],
  240.             textStyle: {
  241.                 color: '#fff'
  242.             }
  243.         },
  244.         visualMap: {
  245.             color: ['#79fbd7'],
  246.             min: 0,
  247.             max: 300,
  248.             splitNumber: 5,
  249.             textStyle: {
  250.                 color: '#fff'
  251.             }
  252.         },
  253.         geo: {
  254.             map: 'china',
  255.             label: {
  256.                 emphasis: {
  257.                     show: false
  258.                 }
  259.             },
  260.             itemStyle: {
  261.                 normal: {
  262.                     areaColor: '#0b2364',
  263.                     borderColor: '#4385c7'
  264.                 },
  265.                 emphasis: {
  266.                     areaColor: '#414a58'
  267.                 }
  268.             }
  269.         },
  270.         series: [
  271.             {
  272.                 name: 'pm2.5',
  273.                 type: 'scatter',
  274.                 coordinateSystem: 'geo',
  275.                 data: convertData([
  276.                     {name: "海门", value: 9},
  277.                     {name: "鄂尔多斯", value: 12},
  278.                     {name: "招远", value: 12},
  279.                     {name: "舟山", value: 12},
  280.                     {name: "齐齐哈尔", value: 14},
  281.                     {name: "盐城", value: 15},
  282.                     {name: "赤峰", value: 16},
  283.                     {name: "青岛", value: 18},
  284.                     {name: "乳山", value: 18},
  285.                     {name: "金昌", value: 19},
  286.                     {name: "泉州", value: 21},
  287.                     {name: "莱西", value: 21},
  288.                     {name: "日照", value: 21},
  289.                     {name: "胶南", value: 22},
  290.                     {name: "南通", value: 23},
  291.                     {name: "拉萨", value: 24},
  292.                     {name: "云浮", value: 24},
  293.                     {name: "梅州", value: 25},
  294.                     {name: "文登", value: 25},
  295.                     {name: "上海", value: 25},
  296.                     {name: "攀枝花", value: 25},
  297.                     {name: "威海", value: 25},
  298.                     {name: "承德", value: 25},
  299.                     {name: "厦门", value: 26},
  300.                     {name: "汕尾", value: 26},
  301.                     {name: "潮州", value: 26},
  302.                     {name: "丹东", value: 27},
  303.                     {name: "太仓", value: 27},
  304.                     {name: "曲靖", value: 27},
  305.                     {name: "烟台", value: 28},
  306.                     {name: "福州", value: 29},
  307.                     {name: "瓦房店", value: 30},
  308.                     {name: "即墨", value: 30},
  309.                     {name: "抚顺", value: 31},
  310.                     {name: "玉溪", value: 31},
  311.                     {name: "张家口", value: 31},
  312.                     {name: "阳泉", value: 31},
  313.                     {name: "莱州", value: 32},
  314.                     {name: "湖州", value: 32},
  315.                     {name: "汕头", value: 32},
  316.                     {name: "昆山", value: 33},
  317.                     {name: "宁波", value: 33},
  318.                     {name: "湛江", value: 33},
  319.                     {name: "揭阳", value: 34},
  320.                     {name: "荣成", value: 34},
  321.                     {name: "连云港", value: 35},
  322.                     {name: "葫芦岛", value: 35},
  323.                     {name: "常熟", value: 36},
  324.                     {name: "东莞", value: 36},
  325.                     {name: "河源", value: 36},
  326.                     {name: "淮安", value: 36},
  327.                     {name: "泰州", value: 36},
  328.                     {name: "南宁", value: 37},
  329.                     {name: "营口", value: 37},
  330.                     {name: "惠州", value: 37},
  331.                     {name: "江阴", value: 37},
  332.                     {name: "蓬莱", value: 37},
  333.                     {name: "韶关", value: 38},
  334.                     {name: "嘉峪关", value: 38},
  335.                     {name: "广州", value: 38},
  336.                     {name: "延安", value: 38},
  337.                     {name: "太原", value: 39},
  338.                     {name: "清远", value: 39},
  339.                     {name: "中山", value: 39},
  340.                     {name: "昆明", value: 39},
  341.                     {name: "寿光", value: 40},
  342.                     {name: "盘锦", value: 40},
  343.                     {name: "长治", value: 41},
  344.                     {name: "深圳", value: 41},
  345.                     {name: "珠海", value: 42},
  346.                     {name: "宿迁", value: 43},
  347.                     {name: "咸阳", value: 43},
  348.                     {name: "铜川", value: 44},
  349.                     {name: "平度", value: 44},
  350.                     {name: "佛山", value: 44},
  351.                     {name: "海口", value: 44},
  352.                     {name: "江门", value: 45},
  353.                     {name: "章丘", value: 45},
  354.                     {name: "肇庆", value: 46},
  355.                     {name: "大连", value: 47},
  356.                     {name: "临汾", value: 47},
  357.                     {name: "吴江", value: 47},
  358.                     {name: "石嘴山", value: 49},
  359.                     {name: "沈阳", value: 50},
  360.                     {name: "苏州", value: 50},
  361.                     {name: "茂名", value: 50},
  362.                     {name: "嘉兴", value: 51},
  363.                     {name: "长春", value: 51},
  364.                     {name: "胶州", value: 52},
  365.                     {name: "银川", value: 52},
  366.                     {name: "张家港", value: 52},
  367.                     {name: "三门峡", value: 53},
  368.                     {name: "锦州", value: 54},
  369.                     {name: "南昌", value: 54},
  370.                     {name: "柳州", value: 54},
  371.                     {name: "三亚", value: 54},
  372.                     {name: "自贡", value: 56},
  373.                     {name: "吉林", value: 56},
  374.                     {name: "阳江", value: 57},
  375.                     {name: "泸州", value: 57},
  376.                     {name: "西宁", value: 57},
  377.                     {name: "宜宾", value: 58},
  378.                     {name: "呼和浩特", value: 58},
  379.                     {name: "成都", value: 58},
  380.                     {name: "大同", value: 58},
  381.                     {name: "镇江", value: 59},
  382.                     {name: "桂林", value: 59},
  383.                     {name: "张家界", value: 59},
  384.                     {name: "宜兴", value: 59},
  385.                     {name: "北海", value: 60},
  386.                     {name: "西安", value: 61},
  387.                     {name: "金坛", value: 62},
  388.                     {name: "东营", value: 62},
  389.                     {name: "牡丹江", value: 63},
  390.                     {name: "遵义", value: 63},
  391.                     {name: "绍兴", value: 63},
  392.                     {name: "扬州", value: 64},
  393.                     {name: "常州", value: 64},
  394.                     {name: "潍坊", value: 65},
  395.                     {name: "重庆", value: 66},
  396.                     {name: "台州", value: 67},
  397.                     {name: "南京", value: 67},
  398.                     {name: "滨州", value: 70},
  399.                     {name: "贵阳", value: 71},
  400.                     {name: "无锡", value: 71},
  401.                     {name: "本溪", value: 71},
  402.                     {name: "克拉玛依", value: 72},
  403.                     {name: "渭南", value: 72},
  404.                     {name: "马鞍山", value: 72},
  405.                     {name: "宝鸡", value: 72},
  406.                     {name: "焦作", value: 75},
  407.                     {name: "句容", value: 75},
  408.                     {name: "北京", value: 79},
  409.                     {name: "徐州", value: 79},
  410.                     {name: "衡水", value: 80},
  411.                     {name: "包头", value: 80},
  412.                     {name: "绵阳", value: 80},
  413.                     {name: "乌鲁木齐", value: 84},
  414.                     {name: "枣庄", value: 84},
  415.                     {name: "杭州", value: 84},
  416.                     {name: "淄博", value: 85},
  417.                     {name: "鞍山", value: 86},
  418.                     {name: "溧阳", value: 86},
  419.                     {name: "库尔勒", value: 86},
  420.                     {name: "安阳", value: 90},
  421.                     {name: "开封", value: 90},
  422.                     {name: "济南", value: 92},
  423.                     {name: "德阳", value: 93},
  424.                     {name: "温州", value: 95},
  425.                     {name: "九江", value: 96},
  426.                     {name: "邯郸", value: 98},
  427.                     {name: "临安", value: 99},
  428.                     {name: "兰州", value: 99},
  429.                     {name: "沧州", value: 100},
  430.                     {name: "临沂", value: 103},
  431.                     {name: "南充", value: 104},
  432.                     {name: "天津", value: 105},
  433.                     {name: "富阳", value: 106},
  434.                     {name: "泰安", value: 112},
  435.                     {name: "诸暨", value: 112},
  436.                     {name: "郑州", value: 113},
  437.                     {name: "哈尔滨", value: 114},
  438.                     {name: "聊城", value: 116},
  439.                     {name: "芜湖", value: 117},
  440.                     {name: "唐山", value: 119},
  441.                     {name: "平顶山", value: 119},
  442.                     {name: "邢台", value: 119},
  443.                     {name: "德州", value: 120},
  444.                     {name: "济宁", value: 120},
  445.                     {name: "荆州", value: 127},
  446.                     {name: "宜昌", value: 130},
  447.                     {name: "义乌", value: 132},
  448.                     {name: "丽水", value: 133},
  449.                     {name: "洛阳", value: 134},
  450.                     {name: "秦皇岛", value: 136},
  451.                     {name: "株洲", value: 143},
  452.                     {name: "石家庄", value: 147},
  453.                     {name: "莱芜", value: 148},
  454.                     {name: "常德", value: 152},
  455.                     {name: "保定", value: 153},
  456.                     {name: "湘潭", value: 154},
  457.                     {name: "金华", value: 157},
  458.                     {name: "岳阳", value: 169},
  459.                     {name: "长沙", value: 175},
  460.                     {name: "衢州", value: 177},
  461.                     {name: "廊坊", value: 193},
  462.                     {name: "菏泽", value: 194},
  463.                     {name: "合肥", value: 229},
  464.                     {name: "武汉", value: 273},
  465.                     {name: "大庆", value: 279}
  466.                 ]),
  467.                 symbolSize:8,
  468.                 label: {
  469.                     normal: {
  470.                         show: false
  471.                     },
  472.                     emphasis: {
  473.                         show: true
  474.                     }
  475.                 },
  476.                 itemStyle: {
  477.                     emphasis: {
  478.                         borderColor: '',
  479.                         borderWidth: 1
  480.                     }
  481.                 }
  482.             }
  483.         ]
  484.     }
  485.     myChart.setOption(option);
  486.  
  487. </script>
  488. </body>
  489. </html>

效果图：

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