命令行  npm install echarts --save

在main.js文件中里引入

          import echarts from 'echarts'

          Vue.prototype.$echarts = echarts

import china from '.....'

  var Top10Chart = this.$echarts.init(document.getElementById('Top10Chart'));

        window.addEventListener("resize", function() {

        Top10Chart.resize();

    }); 

//自定义可能会显示的地区

    var data = [

        {name: '海门', value: },

        {name: '鄂尔多斯', value: },

        {name: '招远', value: },

        {name: '舟山', value: },

        {name: '齐齐哈尔', value: },

        {name: '盐城', value: },

        {name: '赤峰', value: },

        {name: '青岛', value: },

        {name: '乳山', value: },

        {name: '金昌', value: },

        {name: '泉州', value: },

        {name: '莱西', value: },

        {name: '日照', value: },

        {name: '胶南', value: },

        {name: '南通', value: },

        {name: '拉萨', value: },

        {name: '云浮', value: },

        {name: '梅州', value: },

        {name: '文登', value: },

        {name: '上海', value: },

        {name: '攀枝花', value: },

        {name: '威海', value: },

        {name: '承德', value: },

        {name: '厦门', value: },

        {name: '汕尾', value: },

        {name: '潮州', value: },

        {name: '丹东', value: },

        {name: '太仓', value: },

        {name: '曲靖', value: },

        {name: '烟台', value: },

        {name: '福州', value: },

        {name: '瓦房店', value: },

        {name: '即墨', value: },

        {name: '抚顺', value: },

        {name: '玉溪', value: },

        {name: '张家口', value: },

        {name: '阳泉', value: },

        {name: '莱州', value: },

        {name: '湖州', value: },

        {name: '汕头', value: },

        {name: '昆山', value: },

        {name: '宁波', value: },

        {name: '湛江', value: },

        {name: '揭阳', value: },

        {name: '荣成', value: },

        {name: '连云港', value: },

        {name: '葫芦岛', value: },

        {name: '常熟', value: },

        {name: '东莞', value: },

        {name: '河源', value: },

        {name: '淮安', value: },

        {name: '泰州', value: },

        {name: '南宁', value: },

        {name: '营口', value: },

        {name: '惠州', value: },

        {name: '江阴', value: },

        {name: '蓬莱', value: },

        {name: '韶关', value: },

        {name: '嘉峪关', value: },

        {name: '广州', value: },

        {name: '延安', value: },

        {name: '太原', value: },

        {name: '清远', value: },

        {name: '中山', value: },

        {name: '昆明', value: },

        {name: '寿光', value: },

        {name: '盘锦', value: },

        {name: '长治', value: },

        {name: '深圳', value: },

        {name: '珠海', value: },

        {name: '宿迁', value: },

        {name: '咸阳', value: },

        {name: '铜川', value: },

        {name: '平度', value: },

        {name: '佛山', value: },

        {name: '海口', value: },

        {name: '江门', value: },

        {name: '章丘', value: },

        {name: '肇庆', value: },

        {name: '大连', value: },

        {name: '临汾', value: },

        {name: '吴江', value: },

        {name: '石嘴山', value: },

        {name: '沈阳', value: },

        {name: '苏州', value: },

        {name: '茂名', value: },

        {name: '嘉兴', value: },

        {name: '长春', value: },

        {name: '胶州', value: },

        {name: '银川', value: },

        {name: '张家港', value: },

        {name: '三门峡', value: },

        {name: '锦州', value: },

        {name: '南昌', value: },

        {name: '柳州', value: },

        {name: '三亚', value: },

        {name: '自贡', value: },

        {name: '吉林', value: },

        {name: '阳江', value: },

        {name: '泸州', value: },

        {name: '西宁', value: },

        {name: '宜宾', value: },

        {name: '呼和浩特', value: },

        {name: '成都', value: },

        {name: '大同', value: },

        {name: '镇江', value: },

        {name: '桂林', value: },

        {name: '张家界', value: },

        {name: '宜兴', value: },

        {name: '北海', value: },

        {name: '西安', value: },

        {name: '金坛', value: },

        {name: '东营', value: },

        {name: '牡丹江', value: },

        {name: '遵义', value: },

        {name: '绍兴', value: },

        {name: '扬州', value: },

        {name: '常州', value: },

        {name: '潍坊', value: },

        {name: '重庆', value: },

        {name: '台州', value: },

        {name: '南京', value: },

        {name: '滨州', value: },

        {name: '贵阳', value: },

        {name: '无锡', value: },

        {name: '本溪', value:},

        {name: '克拉玛依', value: },

        {name: '渭南', value: },

        {name: '马鞍山', value: },

        {name: '宝鸡', value: },

        {name: '焦作', value: },

        {name: '句容', value: },

        {name: '北京', value: },

        {name: '徐州', value: },

        {name: '衡水', value: },

        {name: '包头', value: },

        {name: '绵阳', value: },

        {name: '乌鲁木齐', value: },

        {name: '枣庄', value: },

        {name: '杭州', value: },

        {name: '淄博', value: },

        {name: '鞍山', value: },

        {name: '溧阳', value: },

        {name: '库尔勒', value: },

        {name: '安阳', value: },

        {name: '开封', value: },

        {name: '济南', value: },

        {name: '德阳', value: },

        {name: '温州', value: },

        {name: '九江', value: },

        {name: '邯郸', value: },

        {name: '临安', value: },

        {name: '兰州', value: },

        {name: '沧州', value: },

        {name: '临沂', value: },

        {name: '南充', value: },

        {name: '天津', value: },

        {name: '富阳', value: },

        {name: '泰安', value: },

        {name: '诸暨', value: },

        {name: '郑州', value: },

        {name: '哈尔滨', value: },

        {name: '聊城', value: },

        {name: '芜湖', value: },

        {name: '唐山', value: },

        {name: '平顶山', value: },

        {name: '邢台', value: },

        {name: '德州', value: },

        {name: '济宁', value: },

        {name: '荆州', value: },

        {name: '宜昌', value: },

        {name: '义乌', value: },

        {name: '丽水', value: },

        {name: '洛阳', value: },

        {name: '秦皇岛', value: },

        {name: '株洲', value: },

        {name: '石家庄', value: },

        {name: '莱芜', value: },

        {name: '常德', value: },

        {name: '保定', value: },

        {name: '湘潭', value: },

        {name: '金华', value: },

        {name: '岳阳', value: },

        {name: '长沙', value: },

        {name: '衢州', value: },

        {name: '廊坊', value: },

        {name: '菏泽', value: },

        {name: '合肥', value: },

        {name: '武汉', value: },

        {name: '大庆', value: },

        {naem:'甘孜藏族自治州',value:},

        {name:'阿拉善盟',vaule:},

        {name:'阿坝藏族羌族自治州',value:},

        {name:'榆林',value:},

        {name:'楚雄彝族自治州',value:},

        {name:'六安',value:},

        {name:'黔南布依族苗族自治州',value:},

        {name:'昭通',value:}

    ];

//调接口，接收到需要显示的数据

    let areaArr = [];

    var sendData={areaName:'鹤峰县'};

    getPageVisitsInfoByAreaName(sendData).then(datas=>{        //发送本地请求

        if (datas.code=="N01") {

            let dataArr = datas.contents.slice(,);

            for(var i=;i<dataArr.length; i++){

                for(var j=;j<data.length;j++){

                    if(dataArr[i].city == data[j].name){

                        data[j].value = dataArr[i].num;

                    }

                }

            }

//可能会用到的地方的经纬度

            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':[,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':[,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':[,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],

    '甘孜藏族自治州':[101.97,30.05],

    '阿坝藏族羌族自治州':[103.60,32.63],

    '阿拉善盟':[105.67,38.83],

    '榆林':[110.50,38.83],

    '六安':[113.5,31.77],

    '黔南布依族苗族自治州':[107.52,26.27],

    '昭通':[103.72,27.33]

    };

//这都是以前官方文档里有的，当然现在官方文档都没了

            var convertData = function (data) {

                var res = [];

                for (var i = ; i < data.length; i++) {

                    var geoCoord = geoCoordMap[data[i].name];

                    if (geoCoord) {

                        res.push({

                            name: data[i].name,

                            value: geoCoord.concat(data[i].value)

                        });

                    }

                }

                return res;

            };

            var option = {

                tooltip : {

                    trigger: 'item',

//这是后来写的一个鼠标移上去的显示信息

                    formatter: function(p){//自定义提示信息

                        let dataCon = p.data;

                        var htmlStr ='<div>';

                        htmlStr += p.name + '<br/>';//x轴的名称

                        htmlStr += "访问量" + '：'+p.value[];

                        htmlStr += '</div>';

                        return htmlStr;

                    },

                },

                geo: {

                    map: 'china',

                    label: {

                        emphasis: {

                            show: false

                        }

                    },

                    roam: true,

                    itemStyle: {

                    normal: {

                    areaColor: 'rgba(48,56,69,0.8)',//地图默认的背景颜色

                    borderColor: '#a6c84c'//地图默认的边线颜色

                    },

                    emphasis: {

                    areaColor: '#a6c84c'//地图触发地区的背景颜色

                    }

                }

                },

                series : [

                    {

                    name: '访问量',

                    type: 'scatter',

                    coordinateSystem: 'geo',

                    data: convertData(data),

                    symbolSize: function (val) {

                        return val[] / ;

                    },

                    label: {

                        normal: {

                            formatter: '{b}',

                            position: 'right',

                            show: false

                        },

                        emphasis: {

                            show: true

                        }

                    },

                    itemStyle: {

                        normal: {

                            color: '#a6c84c'

                        }

                    }

                    },

                    {

                    name: '访问量 Top 10',

                    type: 'effectScatter',

                    coordinateSystem: 'geo',

                    data: convertData(

                            data.sort(

                                function (a, b) {

                                    return b.value - a.value;

                                }//这个是data的排序，b-a表示按降序

                            ).slice(, )

                        ),

                    symbolSize: function (val) {

                        return val[] / ;

                    },

                    showEffectOn: 'render',

                    rippleEffect: {

                        brushType: 'stroke'

                    },

                    hoverAnimation: true,

                    label: {

                        normal: {

                            formatter: '{b}',

                            position: 'right',

                            show: true

                        }

                    },

                    itemStyle: {

                        normal: {

                            color: '#a6c84c',

                            shadowBlur: ,

                            shadowColor: '#333'

                        }

                    },

                    zlevel:

                    }

                ]

            };

            Top10Chart.setOption(option);

        }

    }).catch(data=>{

             console.log('http error');

            })