Echarts使用一：在地图上将特定城市显示高亮
最近项目要使用echarts进行数据可视化。主要用到中国和各省市地图，第一次用也是遇到了很多问题，在这里记录一下，方便以后回顾。
首先将第一个需求说一下，就是根据传入的一条数据在地图上将两个城市连线并显示高亮。在介绍代码之前先说一下echarts的一个大致流程。以地图为例：
1，标签里面一般会将要使用到的js文件引入进来，这里的js文件可以是在线的，比如说下面例子中所使用的链接；也可以是本地的，也就是把echarts官网提供的文件下载下来，把本机文件存储路径写上也是可以的，目的就是把地图要使用到的数据导入进来。
2，进入body之后会为地图生成一个div，用于放置所生成的地图。就是下面这句话：
var myChart = echarts.init(document.getElementById("main"));3，为要生成的地图配置参数，这里也是最重要的部分，要按照自己的需求生成想要的地图就要定制自己的option，这部分就要自己去深入了解了。
4，把参数传入之前定义的myChart变量，把地图显示出来。
myChart.setOption(option);
恩，一个最简的流程就是这样，我这个demo本来是要连接数据库查询数据的，但是这里为了简单就定义一个数据然后循环读取。
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>echarts使用一</title>
<link rel="stylesheet" href="../css/main.css" type="text/css"/>
<!-- 引入 echarts.js -->
<script type="text/javascript" src="http://echarts.baidu.com/gallery/vendors/echarts/echarts-all-3.js"></script>
<script type="text/javascript" src="http://echarts.baidu.com/gallery/vendors/echarts/extension/dataTool.min.js"></script>
<script type="text/javascript" src="http://echarts.baidu.com/gallery/vendors/echarts/map/js/china.js"></script>
<script type="text/javascript" src="http://echarts.baidu.com/gallery/vendors/echarts/map/js/world.js"></script>
<script type="text/javascript" src="http://api.map.baidu.com/api?v=2.0&ak=ZUONbpqGBsYGXNIYHicvbAbM"></script>
<script type="text/javascript" src="http://echarts.baidu.com/gallery/vendors/echarts/extension/bmap.min.js"></script>
</head>
<body>
<!-- 为ECharts准备一个具备大小（宽高）的Dom -->
<div id="main" style="width: 600px;height:400px;"></div>
<script type="text/javascript">
// 基于准备好的dom，初始化echarts实例
var myChart = echarts.init(document.getElementById("main"));
var data = [
{name: "广州", value: "北京"}
];
//这里记录每个城市的坐标信息（不全）
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],
"即墨":[120.45,36.38],
"抚顺":[123.97,41.97],
"玉溪":[102.52,24.35],
"张家口":[114.87,40.82],
"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],
"扬州":[119.42,32.39],
"常州":[119.95,31.79],
"潍坊":[119.1,36.62],
"重庆":[106.54,29.59],
"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]
};
//根据data得到每个data中城市的坐标
var convertData = function (data) {
var res = [];
for (var i = 0; i < data.length; i++) {
var fromCoord = geoCoordMap[data[i].name];//获取城市的坐标 source
var toCoord = geoCoordMap[data[i].value];//获取城市的坐标 destination
if (fromCoord && toCoord) {
res.push({
fromName: data[i].name,
toName: data[i].value,
coords: [fromCoord, toCoord]
});
}
}
return res;
};
//根据data得到放射光标效果图。如果起始城市没有值的话，就只显示目的城市
var convertData1 = function (data) {
var res = [];
for (var i = 0; i < data.length; i++) {
var geoCoord = geoCoordMap[data[i].name];
var geoCoord1 = geoCoordMap[data[i].value];
if (geoCoord)
{
res.push({
name: data[i].name,
value: geoCoord.concat(data[i].value)
});
}
if(geoCoord1)
{
res.push({
name: data[i].value,
value: geoCoord1.concat(data[i].name)
})
}
}
return res;
};
//设置一些可选的参数
option = {
//设置背景颜色
backgroundColor: "#f3f3f3",
//设置图片标题、子标题、文本颜色等等
title: {
text: "echarts使用1",
subtext: "made by 刘冲",
left: "center",
textStyle: {
color: "#000"
}
},
tooltip : {
trigger: "item"
},
geo: {
map: "china",
label: {
emphasis: {
show: true
}
},
//是否可以点击鼠标、滚轮缩放
roam: true,
},
//series就是要绘制的地图的主体。是一个数组，也就是说可以有多个数据进行绘制。这里有两个，一个是两个城市的连线，一个是对两个城市进行高亮显示。其中的type是很重要的参数，主要有饼图、条形图、线、地图等等。具体的可以去参考官网上的配置手册。
series :
[
{
name: "rode",
type: "lines",
coordinateSystem: "geo",
data: convertData(data),
effect: {
show: true,
period: 6,
trailLength: 0,
},
lineStyle: {
normal: {
color: "#389BB7",
width: 1,
opacity: 0.4,
curveness: 0.2
}
}
},
{
name: "city",
type: "effectScatter",
coordinateSystem: "geo",
rippleEffect: {
brushType: "stroke"
},
label: {
normal: {
show: true,
position: "right",
formatter: "{b}"
}
},
symbolSize: 8,
itemStyle: {
normal: {
color: "#389BB7"
}
},
data: convertData1(data)
},
]
};
// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
//定义数据
var dataArray=new Array();
dataArray[0]=[{name:"上海",value:"广州"}];
dataArray[1]=[{name:"上海",value:"北京"}];
dataArray[2]=[{value:"深圳"}];
dataArray[3]=[{name:"上海",value:"天津"}];
dataArray[4]=[{name:"上海",value:"唐山"}];
var globalIndex=0;
//一直要执行的函数
function nocease(){
//随机取1-5
data=dataArray[globalIndex%5];
globalIndex++;
var option = myChart.getOption();
if(data[0].name)
{
option.series[0].data = convertData(data);
option.series[1].data = convertData1(data);
}
else{
option.series[0].data = null;
option.series[1].data = convertData1(data);
}
myChart.setOption(option);
}
setInterval("nocease()","2000");
</script>
</body>
</html>好了，代码介绍完毕，那就看一下效果图，
恩，还是挺好看的吧。
声明：该文观点仅代表作者本人，牛骨文系教育信息发布平台，牛骨文仅提供信息存储空间服务。
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