关于前端:echart表高亮中国城市

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很多时候咱们须要动静的获取、展现城市的数据,这时候须要高亮的显示城市。我看网上有很多都是高亮显示省份的实例,然而没有高亮显示城市的。先给大家看一下代码成果。

话不多说,间接上代码
`<!DOCTYPE html>
<html>
<head>

<meta charset="utf-8">
<title>city</title>
<!-- 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/map/js/china.js"></script>

</head>
<body>

<!-- 为 ECharts 筹备一个具备大小(宽高)的 Dom -->
<div id="main" style="width: 1000px;height:800px;"></div>
<script type="text/javascript">
    // 基于筹备好的 dom,初始化 echarts 实例
    var myChart = echarts.init(document.getElementById('main'));
    var data = [{name: '广州',},
        {name: '上海',},
        {name: '郑州',},
        {name: '武汉',},
        {name: '北京',}
    ];
    // 这里记录城市的坐标信息,不全,须要的能够本人百度城市坐标而后增加
    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]
    };
    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 = {
        // 设置背景色彩
        backgroundColor: '#f3f3f3',
        // 设置图片题目、子标题、文本色彩等等
        title: {
            text: 'echarts 高亮显示城市',
            left: 'center',
            textStyle: {color: '#000'}
        },
        tooltip : {
            trigger: 'item',
            formatter:function(params, ticket, callback){
                return params.data.name
                +'<br />'+'我的项目数量'+':'+params.data.value[0]+'个'
                +'<br />'+'总建筑面积'+':'+params.data.value[0]+'万㎡'
                +'<br />'+'总可售面积'+':'+params.data.value[1]+'万㎡'
                +'<br />'+'总用地面积'+':'+params.data.value[1]+'万㎡'
            }
        },
        geo: {
            map: 'china',
            label: {
                emphasis: {show: true}
            },
            // 是否能够点击鼠标、滚轮缩放
            roam: true,
        },
        series : [
            {
                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)
            },
        ]
    };
    // 应用刚指定的配置项和数据显示图表。myChart.setOption(option);

`

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