首先，最好的教程在这里：eCchart

eChart所需JS：

echarts.min.js

china.js

echarts.js

echart示例

页面代码如下：

一、图表

  1. <!DOCTYPE html>
  2. <html>
  3.  <head>
  4.   <title>详情</title>
  5.   <t:base type="jquery,easyui,tools,DatePicker"></t:base>
  6.   <style type="text/css">
  7.     #lightCattle{
  8.         position: absolute;
  9.         top: 390px;
  10.     }
  11.   </style>
  12.   <script type="text/javascript" src="echarts.min.js"></script>
  13.  
  14.  </head>
  15.  <body style="overflow-y: auto; overflow-x: hidden;width: 100%">
  16.         <div id="lightCattle">
  17.             时间选择：<t:dictSelect id="date" field="date" type="list"  typeGroupCode="dateSelect" defaultVal="1" hasLabel="false"  title="日期选择" ></t:dictSelect>
  18.             &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
  19.             指标选择：<t:dictSelect id="dex" field="dex" type="list"  typeGroupCode="dexSelect" defaultVal="weight" hasLabel="false"  title="指标选择" ></t:dictSelect>
  20.             &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
  21.             <a class="easyui-linkbutton l-btn" onclick="doSearch()" href="#"><span class="l-btn-text icon-search l-btn-icon-left">查询</span></a>
  22.             <br><br>
  23.             <div id="main" style="width: 1500px;height:300px; position: absolute;"></div>
  24.         </div>
  25.         <br>
  26.   <script type="text/javascript">
  27.     $(document).ready(function(){
  28.         lightCattleSearch();
  29.     });
  30.     function doSearch(){
  31.         $.messager.progress({
  32.             title: '提示',
  33.             msg: '数据加载中，请稍后......',
  34.             text: '',
  35.             interval:'500'
  36.         });
  37.         var clientNcode = $("#clientNcode").val();
  38.         var date = $("#date").val();
  39.         var dex = $("#dex").val();
  40.  
  41.         var url = "ClientManageController.do?doSearch";
  42.         $.ajax({
  43.             type:"POST",
  44.             url:url,
  45.             data:{
  46.                 clientNcode:clientNcode,
  47.                 date:date,
  48.                 dex:dex
  49.             },
  50.             success:function(data){
  51.                 //data是一个map
  52.                 $.messager.progress('close');
  53.                 var result = jQuery.parseJSON(data);//也可以这么写：JSON.parse(data);
  54.                 tubiao(result.str,result.dexSelect);
  55.             }
  56.         });
  57.     }
  58.  
  59.     function tubiao(data,name){
  60.         var datas = new Array();
  61.         //data = [["2000-06-05",116],["2000-06-06",129],["2000-06-07",135],["2000-06-08",86],["2000-06-09",73],["2000-06-10",85],["2000-06-11",73],["2000-06-12",68],["2000-06-13",92],["2000-06-14",130],["2000-06-15",245],["2000-06-16",139],["2000-06-17",115],["2000-06-18",111],["2000-06-19",309],["2000-06-20",206],["2000-06-21",137],["2000-06-22",128],["2000-06-23",85],["2000-06-24",94],["2000-06-25",71],["2000-06-26",106],["2000-06-27",84],["2000-06-28",93],["2000-06-29",85],["2000-06-30",73],["2000-07-01",83],["2000-07-02",125],["2000-07-03",107],["2000-07-04",82],["2000-07-05",44],["2000-07-06",72],["2000-07-07",106],["2000-07-08",107],["2000-07-09",66],["2000-07-10",91],["2000-07-11",92],["2000-07-12",113],["2000-07-13",107],["2000-07-14",131],["2000-07-15",111],["2000-07-16",64],["2000-07-17",69],["2000-07-18",88],["2000-07-19",77],["2000-07-20",83],["2000-07-21",111],["2000-07-22",57],["2000-07-23",55],["2000-07-24",60]];
  62.         //data = JSON.parse(data);
  63.         var myobj=eval(data);
  64.         for(var i=0;i<myobj.length;i++){
  65.             var arry = new Array();
  66.             arry[0]=myobj[i][0];
  67.             arry[1]=myobj[i][1];
  68.             datas[i]=arry;
  69.         } 
  70.  
  71.         var dateList = datas.map(function (item) {
  72.             return item[0];
  73.         });
  74.         var valueList = datas.map(function (item) {
  75.             return item[1];
  76.         });
  77.  
  78.         var  option = {
  79.  
  80.             // Make gradient line here
  81.             visualMap: [{
  82.                 show: false,
  83.                 type: 'continuous',
  84.                 seriesIndex: 0,
  85.                 min: 0,
  86.                 max: 400
  87.             }],
  88.  
  89.             title: [{
  90.                 top:'0%',
  91.                 left: 'center',
  92.                 text: name
  93.             }],
  94.             tooltip: {
  95.                 trigger: 'axis'
  96.             },
  97.             xAxis: [{
  98.                 data: dateList
  99.             }],
  100.             yAxis: [{
  101.  
  102.                 splitLine: {show: true},
  103.  
  104.             }],
  105.             grid: [{
  106.                 top: '90%',
  107.                 bottom: '87%'
  108.             }],
  109.             series: [{
  110.                 type: 'line',
  111.                 smooth: true,
  112.                 showSymbol: false,
  113.                 show:true,
  114.                 data: valueList
  115.             }]
  116.         };
  117.         // 基于准备好的dom，初始化echarts实例
  118.         var myChart = echarts.init(document.getElementById('main'));
  119.         myChart.setOption(option);
  120.     }
  121.   </script>
  122.  </body>

java后台返回的map数据代码：

  1. {dexSelect=周数据, str=[["2017-11-16 07:22:13",74.35],["2017-11-17 07:23:45",75.55],["2017-11-18 07:21:55",76.15],["2017-11-19 07:36:18",74.7],["2017-11-20 07:33:35",74.1]]}

出来的页面效果如下图：

二、地图：

(1)html:

  1. <div id="right"  style="width:50%;height:100%;float: right;"></div>

(2)javascript:

引入js

  1. <script type="text/javascript" src="../echart/echarts.min.js"></script>
  2. <script type="text/javascript" src="../echart/echarts.js"></script>
  3. <script type="text/javascript" src="../echart/china.js"></script>

页面js

  1. //利用eChart绘制网页地图
  2. var myChart;
  3. city();
  4. function city() {var data = [
  5.         {name: '海门', value: 9},
  6.         {name: '鄂尔多斯', value: 12},
  7.         {name: '招远', value: 12},
  8.         {name: '舟山', value: 12},
  9.         {name: '齐齐哈尔', value: 14},
  10.         {name: '盐城', value: 15},
  11.         {name: '赤峰', value: 16},
  12.         {name: '青岛', value: 18},
  13.         {name: '乳山', value: 18},
  14.         {name: '金昌', value: 19},
  15.         {name: '泉州', value: 21},
  16.         {name: '南通', value: 23},
  17.         {name: '拉萨', value: 24},
  18.         {name: '云浮', value: 24},
  19.         {name: '上海', value: 25},
  20.         {name: '攀枝花', value: 25},
  21.         {name: '承德', value: 25},
  22.         {name: '汕尾', value: 26},
  23.         {name: '丹东', value: 27},
  24.         {name: '瓦房店', value: 30},
  25.         {name: '延安', value: 38},
  26.         {name: '咸阳', value: 43},
  27.         {name: '南昌', value: 54},
  28.         {name: '柳州', value: 54},
  29.         {name: '三亚', value: 54},
  30.         {name: '泸州', value: 57},
  31.         {name: '克拉玛依', value: 72}
  32.     ];
  33.  
  34.     var geoCoordMap = {
  35.        '海门':[121.15,31.89],
  36.        '鄂尔多斯':[109.781327,39.608266],
  37.        '招远':[120.38,37.35],
  38.        '舟山':[122.207216,29.985295],
  39.        '齐齐哈尔':[123.97,47.33],
  40.        '盐城':[120.13,33.38],
  41.        '赤峰':[118.87,42.28],
  42.        '青岛':[120.33,36.07],
  43.        '乳山':[121.52,36.89],
  44.        '金昌':[102.188043,38.520089],
  45.        '泉州':[118.58,24.93],
  46.        '莱西':[120.53,36.86],
  47.        '日照':[119.46,35.42],
  48.        '胶南':[119.97,35.88],
  49.        '南通':[121.05,32.08],
  50.        '拉萨':[91.11,29.97],
  51.        '云浮':[112.02,22.93],
  52.        '梅州':[116.1,24.55],
  53.        '文登':[122.05,37.2],
  54.        '上海':[121.48,31.22],
  55.        '攀枝花':[101.718637,26.582347],
  56.        '威海':[122.1,37.5],
  57.        '承德':[117.93,40.97],
  58.        '厦门':[118.1,24.46],
  59.        '汕尾':[115.375279,22.786211],
  60.        '潮州':[116.63,23.68],
  61.        '丹东':[124.37,40.13],
  62.        '太仓':[121.1,31.45],
  63.        '曲靖':[103.79,25.51],
  64.        '烟台':[121.39,37.52],
  65.        '福州':[119.3,26.08],
  66.        '瓦房店':[121.979603,39.627114],
  67.        '即墨':[120.45,36.38],
  68.        '抚顺':[123.97,41.97],
  69.        '玉溪':[102.52,24.35],
  70.        '张家口':[114.87,40.82],
  71.        '阳泉':[113.57,37.85],
  72.        '莱州':[119.942327,37.177017],
  73.        '湖州':[120.1,30.86],
  74.        '汕头':[116.69,23.39],
  75.        '昆山':[120.95,31.39],
  76.        '宁波':[121.56,29.86],
  77.        '湛江':[110.359377,21.270708],
  78.        '揭阳':[116.35,23.55],
  79.        '荣成':[122.41,37.16],
  80.        '连云港':[119.16,34.59],
  81.        '葫芦岛':[120.836932,40.711052],
  82.        '常熟':[120.74,31.64],
  83.        '东莞':[113.75,23.04],
  84.        '河源':[114.68,23.73],
  85.        '淮安':[119.15,33.5],
  86.        '泰州':[119.9,32.49],
  87.        '南宁':[108.33,22.84],
  88.        '营口':[122.18,40.65],
  89.        '惠州':[114.4,23.09],
  90.        '江阴':[120.26,31.91],
  91.        '蓬莱':[120.75,37.8],
  92.        '韶关':[113.62,24.84],
  93.        '嘉峪关':[98.289152,39.77313],
  94.        '广州':[113.23,23.16],
  95.        '延安':[109.47,36.6],
  96.        '太原':[112.53,37.87],
  97.        '清远':[113.01,23.7],
  98.        '中山':[113.38,22.52],
  99.        '昆明':[102.73,25.04],
  100.        '寿光':[118.73,36.86],
  101.        '盘锦':[122.070714,41.119997],
  102.        '长治':[113.08,36.18],
  103.        '深圳':[114.07,22.62],
  104.        '珠海':[113.52,22.3],
  105.        '宿迁':[118.3,33.96],
  106.        '咸阳':[108.72,34.36],
  107.        '铜川':[109.11,35.09],
  108.        '平度':[119.97,36.77],
  109.        '佛山':[113.11,23.05],
  110.        '海口':[110.35,20.02],
  111.        '江门':[113.06,22.61],
  112.        '章丘':[117.53,36.72],
  113.        '肇庆':[112.44,23.05],
  114.        '大连':[121.62,38.92],
  115.        '临汾':[111.5,36.08],
  116.        '吴江':[120.63,31.16],
  117.        '石嘴山':[106.39,39.04],
  118.        '沈阳':[123.38,41.8],
  119.        '苏州':[120.62,31.32],
  120.        '茂名':[110.88,21.68],
  121.        '嘉兴':[120.76,30.77],
  122.        '长春':[125.35,43.88],
  123.        '胶州':[120.03336,36.264622],
  124.        '银川':[106.27,38.47],
  125.        '张家港':[120.555821,31.875428],
  126.        '三门峡':[111.19,34.76],
  127.        '锦州':[121.15,41.13],
  128.        '南昌':[115.89,28.68],
  129.        '柳州':[109.4,24.33],
  130.        '三亚':[109.511909,18.252847],
  131.        '自贡':[104.778442,29.33903],
  132.        '吉林':[126.57,43.87],
  133.        '阳江':[111.95,21.85],
  134.        '泸州':[105.39,28.91],
  135.        '西宁':[101.74,36.56],
  136.        '宜宾':[104.56,29.77],
  137.        '呼和浩特':[111.65,40.82],
  138.        '成都':[104.06,30.67],
  139.        '大同':[113.3,40.12],
  140.        '镇江':[119.44,32.2],
  141.        '桂林':[110.28,25.29],
  142.        '张家界':[110.479191,29.117096],
  143.        '宜兴':[119.82,31.36],
  144.        '北海':[109.12,21.49],
  145.        '西安':[108.95,34.27],
  146.        '金坛':[119.56,31.74],
  147.        '东营':[118.49,37.46],
  148.        '牡丹江':[129.58,44.6],
  149.        '遵义':[106.9,27.7],
  150.        '绍兴':[120.58,30.01],
  151.        '扬州':[119.42,32.39],
  152.        '常州':[119.95,31.79],
  153.        '潍坊':[119.1,36.62],
  154.        '重庆':[106.54,29.59],
  155.        '台州':[121.420757,28.656386],
  156.        '南京':[118.78,32.04],
  157.        '滨州':[118.03,37.36],
  158.        '贵阳':[106.71,26.57],
  159.        '无锡':[120.29,31.59],
  160.        '本溪':[123.73,41.3],
  161.        '克拉玛依':[84.77,45.59],
  162.        '渭南':[109.5,34.52],
  163.        '马鞍山':[118.48,31.56],
  164.        '宝鸡':[107.15,34.38],
  165.        '焦作':[113.21,35.24],
  166.        '句容':[119.16,31.95],
  167.        '北京':[116.46,39.92],
  168.        '徐州':[117.2,34.26],
  169.        '衡水':[115.72,37.72],
  170.        '包头':[110,40.58],
  171.        '绵阳':[104.73,31.48],
  172.        '乌鲁木齐':[87.68,43.77],
  173.        '枣庄':[117.57,34.86],
  174.        '杭州':[120.19,30.26],
  175.        '淄博':[118.05,36.78],
  176.        '鞍山':[122.85,41.12],
  177.        '溧阳':[119.48,31.43],
  178.        '库尔勒':[86.06,41.68],
  179.        '安阳':[114.35,36.1],
  180.        '开封':[114.35,34.79],
  181.        '济南':[117,36.65],
  182.        '德阳':[104.37,31.13],
  183.        '温州':[120.65,28.01],
  184.        '九江':[115.97,29.71],
  185.        '邯郸':[114.47,36.6],
  186.        '临安':[119.72,30.23],
  187.        '兰州':[103.73,36.03],
  188.        '沧州':[116.83,38.33],
  189.        '临沂':[118.35,35.05],
  190.        '南充':[106.110698,30.837793],
  191.        '天津':[117.2,39.13],
  192.        '富阳':[119.95,30.07],
  193.        '泰安':[117.13,36.18],
  194.        '诸暨':[120.23,29.71],
  195.        '郑州':[113.65,34.76],
  196.        '哈尔滨':[126.63,45.75],
  197.        '聊城':[115.97,36.45],
  198.        '芜湖':[118.38,31.33],
  199.        '唐山':[118.02,39.63],
  200.        '平顶山':[113.29,33.75],
  201.        '邢台':[114.48,37.05],
  202.        '德州':[116.29,37.45],
  203.        '济宁':[116.59,35.38],
  204.        '荆州':[112.239741,30.335165],
  205.        '宜昌':[111.3,30.7],
  206.        '义乌':[120.06,29.32],
  207.        '丽水':[119.92,28.45],
  208.        '洛阳':[112.44,34.7],
  209.        '秦皇岛':[119.57,39.95],
  210.        '株洲':[113.16,27.83],
  211.        '石家庄':[114.48,38.03],
  212.        '莱芜':[117.67,36.19],
  213.        '常德':[111.69,29.05],
  214.        '保定':[115.48,38.85],
  215.        '湘潭':[112.91,27.87],
  216.        '金华':[119.64,29.12],
  217.        '岳阳':[113.09,29.37],
  218.        '长沙':[113,28.21],
  219.        '衢州':[118.88,28.97],
  220.        '廊坊':[116.7,39.53],
  221.        '菏泽':[115.480656,35.23375],
  222.        '合肥':[117.27,31.86],
  223.        '武汉':[114.31,30.52],
  224.        '大庆':[125.03,46.58]
  225.     };
  226.  
  227.     function convertData(data) {
  228.        var res = [];
  229.        for (var i = 0; i < data.length; i++) {
  230.            var geoCoord = geoCoordMap[data[i].name];
  231.            if (geoCoord) {
  232.                res.push({
  233.                    name: data[i].name,
  234.                    value: geoCoord.concat(data[i].value)
  235.                });
  236.            }
  237.        }
  238.        return res;
  239.     };
  240.  
  241.     function randomValue() {
  242.         return Math.round(Math.random()*1000);
  243.     }
  244.  
  245.     //var imgPath = 'image://https://images2018.cnblogs.com/blog/993337/201804/993337-20180403155453880-1214885401.jpg';
  246.     var imgPath = '';
  247.  
  248.     option = {
  249.         tooltip: {},
  250.         visualMap: {
  251.             min: 0,
  252.             max: 1500,
  253.             left: 'left',
  254.             top: 'bottom',
  255.             text: ['最大值','最小值'],
  256.             seriesIndex: [1],
  257.             inRange: {
  258.                 color: ['#e0ffff', '#006edd']
  259.             },
  260.             calculable : true
  261.         },
  262.         geo: {
  263.             map: 'china',
  264.             roam: false,
  265.             label: {
  266.                 normal: {
  267.                     show: true,
  268.                     textStyle: {
  269.                         color: 'rgba(0,0,0,0.4)'
  270.                     }
  271.                 }
  272.             },
  273.             itemStyle: {
  274.                 normal:{
  275.                     borderColor: 'rgba(0, 0, 0, 0.2)'
  276.                 },
  277.                 emphasis:{
  278.                     areaColor: null,
  279.                     shadowOffsetX: 0,
  280.                     shadowOffsetY: 0,
  281.                     shadowBlur: 20,
  282.                     borderWidth: 0,
  283.                     shadowColor: 'rgba(0, 0, 0, 0.5)'
  284.                 }
  285.             }
  286.         },
  287.         series : [
  288.            {
  289.                type: 'scatter',
  290.                coordinateSystem: 'geo',
  291.                data: convertData(data),
  292.                symbolSize: 14,
  293.                symbol: imgPath,
  294.                symbolRotate: 35,
  295.                label: {
  296.                    normal: {
  297.                        formatter: '{b}',
  298.                        position: 'right',
  299.                        show: false
  300.                    },
  301.                    emphasis: {
  302.                        show: true
  303.                    }
  304.                },
  305.                itemStyle: {
  306.                    normal: {
  307.                         color: '#F06C00'
  308.                    }
  309.                }
  310.             },
  311.             {
  312.                 name: '好友地区统计',
  313.                 type: 'map',
  314.                 geoIndex: 0,
  315.                 // tooltip: {show: false},
  316.                 data:[
  317.                     {name: '北京', value: randomValue()},
  318.                     {name: '天津', value: randomValue()},
  319.                     {name: '上海', value: randomValue()},
  320.                     {name: '重庆', value: randomValue()},
  321.                     {name: '河北', value: randomValue()},
  322.                     {name: '河南', value: randomValue()},
  323.                     {name: '云南', value: randomValue()},
  324.                     {name: '辽宁', value: randomValue()},
  325.                     {name: '黑龙江', value: randomValue()},
  326.                     {name: '湖南', value: randomValue()},
  327.                     {name: '安徽', value: randomValue()},
  328.                     {name: '山东', value: randomValue()},
  329.                     {name: '新疆', value: randomValue()},
  330.                     {name: '江苏', value: randomValue()},
  331.                     {name: '浙江', value: randomValue()},
  332.                     {name: '江西', value: randomValue()},
  333.                     {name: '湖北', value: randomValue()},
  334.                     {name: '广西', value: randomValue()},
  335.                     {name: '甘肃', value: randomValue()},
  336.                     {name: '山西', value: randomValue()},
  337.                     {name: '内蒙古', value: randomValue()},
  338.                     {name: '陕西', value: randomValue()},
  339.                     {name: '吉林', value: randomValue()},
  340.                     {name: '福建', value: randomValue()},
  341.                     {name: '贵州', value: randomValue()},
  342.                     {name: '广东', value: randomValue()},
  343.                     {name: '青海', value: randomValue()},
  344.                     {name: '西藏', value: randomValue()},
  345.                     {name: '四川', value: randomValue()},
  346.                     {name: '宁夏', value: randomValue()},
  347.                     {name: '海南', value: randomValue()},
  348.                     {name: '台湾', value: randomValue()},
  349.                     {name: '香港', value: randomValue()},
  350.                     {name: '澳门', value: randomValue()}
  351.                 ]
  352.             }
  353.         ]
  354.     }
  355.  
  356.     myChart = echarts.init(document.getElementById('right'));
  357.     myChart.setOption(option);
  358. }

效果如下：

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