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。。<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, ：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min.js是⽆效的。
⼆、配置地图
地图⼀：（采⽤了echarts2的相关配置）
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=EDGE">
<title>ECharts</title>
<!--<link rel="stylesheet" type="text/css" href="css/main.css"/>-->
<script src="/jquery-1.4.1.min.js"></script>
<script src="echarts.min.js"></script>
<script src="china.js"></script>
<style>#china-map {width:1000px; height: 1000px;margin: auto;}</style>
</head>
<body>
<div id="china-map"></div>
<script>
var myChart = echarts.ElementById('china-map'));
var option = {
title : {
text: '订单量',
subtext: '纯属虚构',
x:'center'
},
tooltip : {//提⽰框组件。
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。 },
legend: {
orient: 'horizontal',//图例的排列⽅向 x:'left',//图例的位置
data:['订单量']
},
visualMap: {//颜⾊的设置 dataRange
x: 'left',
y: 'center',
splitList: [
{start: 1500},
{start: 900, end: 1500},
{start: 310, end: 1000},
{start: 200, end: 300},
{start: 10, end: 200, label: '10 到 200（⾃定义label）'},
{start: 5, end: 5, label: '5（⾃定义特殊颜⾊）', color: 'black'},
{end: 10}
],
// min: 0,
/
/ max: 2500,
// calculable : true,//颜⾊呈条状
text:['⾼','低'],// ⽂本，默认为数值⽂本
color: ['#E0022B', '#E09107', '#A3E00B']
},
toolbox: {//⼯具栏
show: true,
orient : 'vertical',//⼯具栏 icon 的布局朝向
x: 'right',
y: 'center',
feature : {//各⼯具配置项。
mark : {show: true},
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。 restore : {show: true},//配置项还原。
saveAsImage : {show: true}//保存为图⽚。
}
},
roamController: {//控制地图的上下左右放⼤缩⼩图上没有显⽰
show: true,
x: 'right',
mapTypeControl: {
'china': true
}
},
series : [
{
name: '订单量',
type: 'map',
mapType: 'china',
roam: false,//是否开启⿏标缩放和平移漫游 itemStyle:{//地图区域的多边形图形样式
normal:{//是图形在默认状态下的样式
label:{
show:true,//是否显⽰标签
textStyle: {
color: "rgb(249, 249, 249)"
}
}
},
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
label:{show:true}
}
},
top:"3%",//组件距离容器的距离
data:[
{name: '北京',value: und(Math.random()*2000)},
{name: '天津',value: und(Math.random()*2000)},
{name: '上海',value: und(Math.random()*2000)},
{name: '重庆',value: und(Math.random()*2000)},
{name: '河北',value: 0},
{name: '河南',value: und(Math.random()*2000)},
{name: '云南',value: 5},
{name: '辽宁',value: 305},
{name: '⿊龙江',value: und(Math.random()*2000)},
{name: '湖南',value: 200},
{name: '安徽',value: und(Math.random()*2000)},
{name: '⼭东',value: und(Math.random()*2000)},
{name: '新疆',value: und(Math.random()*2000)},
{name: '江苏',value: und(Math.random()*2000)},
{name: '浙江',value: und(Math.random()*2000)},
{name: '江西',value: und(Math.random()*2000)},
{name: '湖北',value: und(Math.random()*2000)},
{name: '⼴西',value: und(Math.random()*2000)},
{name: '⽢肃',value: und(Math.random()*2000)},
{name: '⼭西',value: und(Math.random()*2000)},
{name: '内蒙古',value: und(Math.random()*2000)},
{name: '陕西',value: und(Math.random()*2000)},
{name: '吉林',value: und(Math.random()*2000)},
{name: '福建',value: und(Math.random()*2000)},
{name: '贵州',value: und(Math.random()*2000)},
{name: '⼴东',value: und(Math.random()*2000)},
{name: '青海',value: und(Math.random()*2000)},
{name: '西藏',value: und(Math.random()*2000)},
{name: '四川',value: und(Math.random()*2000)},
{name: '宁夏',value: und(Math.random()*2000)},
{name: '海南',value: und(Math.random()*2000)},
{name: '台湾',value: und(Math.random()*2000)},
{name: '⾹港',value: und(Math.random()*2000)},
{name: '澳门',value: und(Math.random()*2000)}
]
}
]
};
myChart.setOption(option);
<('mouseover', function (params) {
var dataIndex = params.dataIndex;
console.log(params);
});
</script>
</body>
</html>
View Code
效果图：
地图⼆：（采⽤了echarts4的相关配置）
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=EDGE">
<title>ECharts</title>
<!--<link rel="stylesheet" type="text/css" href="css/main.css"/>-->
<script src="/jquery-1.4.1.min.js"></script>
<script src="echarts.min.js"></script>
<script src="china.js"></script>
<style>#china-map {width:1000px; height: 1000px;margin: auto;}</style> </head>
<body>
<div id="china-map"></div>
<script>
var myChart = echarts.ElementById('china-map'));
var geoCoordMap = {
"海门":[121.15,31.89],
"鄂尔多斯":[109.781327,39.608266],
"招远":[120.38,37.35],
"⾈⼭":[122.207216,29.985295],
"齐齐哈尔":[123.97,47.33],
"盐城":[120.13,33.38],
"⾚峰":[118.87,42.28],
"青岛":[120.33,36.07],
"乳⼭":[121.52,36.89],
"⾦昌":[102.188043,38.520089],
"泉州":[118.58,24.93],
"莱西":[120.53,36.86],
"⽇照":[119.46,35.42],
"胶南":[119.97,35.88],
"南通":[121.05,32.08],
"拉萨":[91.11,29.97],
"云浮":[112.02,22.93],
"梅州":[116.1,24.55],
"⽂登":[122.05,37.2],
"上海":[121.48,31.22],
"攀枝花":[101.718637,26.582347],
"威海":[122.1,37.5],
"承德":[117.93,40.97],
"厦门":[118.1,24.46],
"汕尾":[115.375279,22.786211],
"潮州":[116.63,23.68],
"丹东":[124.37,40.13],
"太仓":[121.1,31.45],
"曲靖":[103.79,25.51],
"烟台":[121.39,37.52],
"福州":[119.3,26.08],
"⽡房店":[121.979603,39.627114],
"阳泉":[113.57,37.85],
"莱州":[119.942327,37.177017], "湖州":[120.1,30.86],
"汕头":[116.69,23.39],
"昆⼭":[120.95,31.39],
"宁波":[121.56,29.86],
"湛江":[110.359377,21.270708], "揭阳":[116.35,23.55],
"荣成":[122.41,37.16],
"连云港":[119.16,34.59],
"葫芦岛":[120.836932,40.711052], "常熟":[120.74,31.64],
"东莞":[113.75,23.04],
"河源":[114.68,23.73],
"淮安":[119.15,33.5],
"泰州":[119.9,32.49],
"南宁":[108.33,22.84],
"营⼝":[122.18,40.65],
"惠州":[114.4,23.09],
"江阴":[120.26,31.91],
"蓬莱":[120.75,37.8],
"韶关":[113.62,24.84],
"嘉峪关":[98.289152,39.77313], "⼴州":[113.23,23.16],
"延安":[109.47,36.6],
"太原":[112.53,37.87],
"清远":[113.01,23.7],
"中⼭":[113.38,22.52],
"昆明":[102.73,25.04],
"寿光":[118.73,36.86],
"盘锦":[122.070714,41.119997], "长治":[113.08,36.18],
"深圳":[114.07,22.62],
"珠海":[113.52,22.3],
"宿迁":[118.3,33.96],
"咸阳":[108.72,34.36],
"铜川":[109.11,35.09],
"平度":[119.97,36.77],
"佛⼭":[113.11,23.05],
"海⼝":[110.35,20.02],
"江门":[113.06,22.61],
"章丘":[117.53,36.72],
"肇庆":[112.44,23.05],
"⼤连":[121.62,38.92],
"临汾":[111.5,36.08],
"吴江":[120.63,31.16],
"⽯嘴⼭":[106.39,39.04],
"沈阳":[123.38,41.8],
"苏州":[120.62,31.32],
"茂名":[110.88,21.68],
"嘉兴":[120.76,30.77],
"长春":[125.35,43.88],
"胶州":[120.03336,36.264622],
"银川":[106.27,38.47],
"张家港":[120.555821,31.875428], "三门峡":[111.19,34.76],
"锦州":[121.15,41.13],
"南昌":[115.89,28.68],
"柳州":[109.4,24.33],
"三亚":[109.511909,18.252847], "⾃贡":[104.778442,29.33903],
"吉林":[126.57,43.87],
"阳江":[111.95,21.85],
"泸州":[105.39,28.91],
"西宁":[101.74,36.56],
"宜宾":[104.56,29.77],
"呼和浩特":[111.65,40.82],
"成都":[104.06,30.67],
"⼤同":[113.3,40.12],
"镇江":[119.44,32.2],
"桂林":[110.28,25.29],
"张家界":[110.479191,29.117096], "宜兴":[119.82,31.36],
"北海":[109.12,21.49],
"西安":[108.95,34.27],
"⾦坛":[119.56,31.74],
"东营":[118.49,37.46],
"牡丹江":[129.58,44.6],
"遵义":[106.9,27.7],
"绍兴":[120.58,30.01],
"台州":[121.420757,28.656386],
"南京":[118.78,32.04],
"滨州":[118.03,37.36],
"贵阳":[106.71,26.57],
"⽆锡":[120.29,31.59],
"本溪":[123.73,41.3],
"克拉玛依":[84.77,45.59],
"渭南":[109.5,34.52],
"马鞍⼭":[118.48,31.56],
"宝鸡":[107.15,34.38],
"焦作":[113.21,35.24],
"句容":[119.16,31.95],
"北京":[116.46,39.92],
"徐州":[117.2,34.26],
"衡⽔":[115.72,37.72],
"包头":[110,40.58],
"绵阳":[104.73,31.48],
"乌鲁⽊齐":[87.68,43.77],
"枣庄":[117.57,34.86],
"杭州":[120.19,30.26],
"淄博":[118.05,36.78],
"鞍⼭":[122.85,41.12],
"溧阳":[119.48,31.43],
"库尔勒":[86.06,41.68],
"安阳":[114.35,36.1],
"开封":[114.35,34.79],
"济南":[117,36.65],
"德阳":[104.37,31.13],
"温州":[120.65,28.01],
"九江":[115.97,29.71],
"邯郸":[114.47,36.6],
"临安":[119.72,30.23],
"兰州":[103.73,36.03],
"沧州":[116.83,38.33],
"临沂":[118.35,35.05],
"南充":[106.110698,30.837793],
"天津":[117.2,39.13],
"富阳":[119.95,30.07],
"泰安":[117.13,36.18],
"诸暨":[120.23,29.71],
"郑州":[113.65,34.76],
"哈尔滨":[126.63,45.75],
"聊城":[115.97,36.45],
"芜湖":[118.38,31.33],
"唐⼭":[118.02,39.63],
"平顶⼭":[113.29,33.75],
"邢台":[114.48,37.05],
"德州":[116.29,37.45],
"济宁":[116.59,35.38],
"荆州":[112.239741,30.335165],
"宜昌":[111.3,30.7],
"义乌":[120.06,29.32],
"丽⽔":[119.92,28.45],
"洛阳":[112.44,34.7],
"秦皇岛":[119.57,39.95],
"株洲":[113.16,27.83],
"⽯家庄":[114.48,38.03],
"莱芜":[117.67,36.19],
"常德":[111.69,29.05],
"保定":[115.48,38.85],
"湘潭":[112.91,27.87],
"⾦华":[119.64,29.12],
"岳阳":[113.09,29.37],
"长沙":[113,28.21],
"衢州":[118.88,28.97],
"廊坊":[116.7,39.53],
"菏泽":[115.480656,35.23375],
"合肥":[117.27,31.86],
"武汉":[114.31,30.52],
"⼤庆":[125.03,46.58]
};
var convertData = function (data) {
var res = [];
for (var i = 0; i < data.length; i++) {
var geoCoord = geoCoordMap[data[i].name];
if (geoCoord) {
res.at(data[i].value)); }
}
