2019-08-07 点击地图下钻效果

深圳.gif

<template>
    <div>
        <div id="box"></div>
<!--        <v-distpicker  @selected="onSelected"></v-distpicker>-->

    </div>
</template>
<script>
    import echarts from 'echarts'
    import "../../static/province/guangdong";
    import VDistpicker from 'v-distpicker'

    // export default {
    //     components: { VDistpicker }
    // }


    // import 'echarts/map/js/china'  ///   npm 安装后必须这样引入
    require('../../static/province/china'); //引入china.js地图文件
    require('../../static/province/world'); //引入china.js地图文件
    require('echarts/extension/bmap/bmap');  ///   如果不引入 那么会 报错:api.coord is not a function"
    // import "../../static/province/henan";
    // import "../../node_modules/echarts/map/js/province/henan";
    // import "../../node_modules/echarts/map/js/province/neimenggu";

    import data1 from  "../../static/json/a"; //  引入的json文件
    import neimenggu from  "../../static/json/b"; //  引入的json文件
    import ckd from  "../../static/json/shenzhen"; //  引入的json文件
    import ckds from  "../../static/json/longgang"; //  引入的json文件




    // import 'echarts/map/js/china'  ///   npm 安装后必须这样引入
    // import '../../node_modules/echarts/map/js/world.js' // 引入世界地图数据
    // import '../../node_modules/echarts/map/js/china.js'   // 引入中国地图数据
    // import '../assets/world'  ///   npm 安装后必须这样引入

    import BMap from 'BMap'
    // echarts/extension/bmap/bmap'
    // import  "echarts/extension/bmap"
    // import  "echarts/extension/bmap/bmap"


    export default {
        data() {
            return {
                myChart: null,
                text: null,
                mapList: ["呼和浩特市","包头市","乌海市","赤峰市",
                    "通辽市","鄂尔多斯市","呼伦贝尔市","巴彦淖尔市",
                    "乌兰察布市","兴安盟","锡林郭勒盟","阿拉善盟"],


            }
        },
        methods: {
            onSelected(options) {
                console.log(options);

            },
            show() {
                var data = [
                    {name: '海门', value: 9},
                    {name: '鄂尔多斯', value: 12},
                    {name: '招远', value: 12},
                    {name: '舟山', value: 12},
                    {name: '齐齐哈尔', value: 14},
                    {name: '盐城', value: 15},
                    {name: '赤峰', value: 16},
                    {name: '青岛', value: 18},
                    {name: '乳山', value: 18},
                    {name: '金昌', value: 19},
                    {name: '泉州', value: 21},
                    {name: '莱西', value: 21},
                    {name: '日照', value: 21},
                    {name: '胶南', value: 22},
                    {name: '南通', value: 23},
                    {name: '拉萨', value: 24},
                    {name: '云浮', value: 24},
                    {name: '梅州', value: 25},
                    {name: '文登', value: 25},
                    {name: '上海', value: 25},
                    {name: '攀枝花', value: 25},
                    {name: '威海', value: 25},
                    {name: '承德', value: 25},
                    {name: '厦门', value: 26},
                    {name: '汕尾', value: 26},
                    {name: '潮州', value: 26},
                    {name: '丹东', value: 27},
                    {name: '太仓', value: 27},
                    {name: '曲靖', value: 27},
                    {name: '烟台', value: 28},
                    {name: '福州', value: 29},
                    {name: '瓦房店', value: 30},
                    {name: '即墨', value: 30},
                    {name: '抚顺', value: 31},
                    {name: '玉溪', value: 31},
                    {name: '张家口', value: 31},
                    {name: '阳泉', value: 31},
                    {name: '莱州', value: 32},
                    {name: '湖州', value: 32},
                    {name: '汕头', value: 32},
                    {name: '昆山', value: 33},
                    {name: '宁波', value: 33},
                    {name: '湛江', value: 33},
                    {name: '揭阳', value: 34},
                    {name: '荣成', value: 34},
                    {name: '连云港', value: 35},
                    {name: '葫芦岛', value: 35},
                    {name: '常熟', value: 36},
                    {name: '东莞', value: 36},
                    {name: '河源', value: 36},
                    {name: '淮安', value: 36},
                    {name: '泰州', value: 36},
                    {name: '南宁', value: 37},
                    {name: '营口', value: 37},
                    {name: '惠州', value: 37},
                    {name: '江阴', value: 37},
                    {name: '蓬莱', value: 37},
                    {name: '韶关', value: 38},
                    {name: '嘉峪关', value: 38},
                    {name: '广州', value: 38},
                    {name: '延安', value: 38},
                    {name: '太原', value: 39},
                    {name: '清远', value: 39},
                    {name: '中山', value: 39},
                    {name: '昆明', value: 39},
                    {name: '寿光', value: 40},
                    {name: '盘锦', value: 40},
                    {name: '长治', value: 41},
                    {name: '深圳', value: 41},
                    {name: '珠海', value: 42},
                    {name: '宿迁', value: 43},
                    {name: '咸阳', value: 43},
                    {name: '铜川', value: 44},
                    {name: '平度', value: 44},
                    {name: '佛山', value: 44},
                    {name: '海口', value: 44},
                    {name: '江门', value: 45},
                    {name: '章丘', value: 45},
                    {name: '肇庆', value: 46},
                    {name: '大连', value: 47},
                    {name: '临汾', value: 47},
                    {name: '吴江', value: 47},
                    {name: '石嘴山', value: 49},
                    {name: '沈阳', value: 50},
                    {name: '苏州', value: 50},
                    {name: '茂名', value: 50},
                    {name: '嘉兴', value: 51},
                    {name: '长春', value: 51},
                    {name: '胶州', value: 52},
                    {name: '银川', value: 52},
                    {name: '张家港', value: 52},
                    {name: '三门峡', value: 53},
                    {name: '锦州', value: 54},
                    {name: '南昌', value: 54},
                    {name: '柳州', value: 54},
                    {name: '三亚', value: 54},
                    {name: '自贡', value: 56},
                    {name: '吉林', value: 56},
                    {name: '阳江', value: 57},
                    {name: '泸州', value: 57},
                    {name: '西宁', value: 57},
                    {name: '宜宾', value: 58},
                    {name: '呼和浩特', value: 58},
                    {name: '成都', value: 58},
                    {name: '大同', value: 58},
                    {name: '镇江', value: 59},
                    {name: '桂林', value: 59},
                    {name: '张家界', value: 59},
                    {name: '宜兴', value: 59},
                    {name: '北海', value: 60},
                    {name: '西安', value: 61},
                    {name: '金坛', value: 62},
                    {name: '东营', value: 62},
                    {name: '牡丹江', value: 63},
                    {name: '遵义', value: 63},
                    {name: '绍兴', value: 63},
                    {name: '扬州', value: 64},
                    {name: '常州', value: 64},
                    {name: '潍坊', value: 65},
                    {name: '重庆', value: 66},
                    {name: '台州', value: 67},
                    {name: '南京', value: 67},
                    {name: '滨州', value: 70},
                    {name: '贵阳', value: 71},
                    {name: '无锡', value: 71},
                    {name: '本溪', value: 71},
                    {name: '克拉玛依', value: 72},
                    {name: '渭南', value: 72},
                    {name: '马鞍山', value: 72},
                    {name: '宝鸡', value: 72},
                    {name: '焦作', value: 75},
                    {name: '句容', value: 75},
                    {name: '北京', value: 79},
                    {name: '徐州', value: 79},
                    {name: '衡水', value: 80},
                    {name: '包头', value: 80},
                    {name: '绵阳', value: 80},
                    {name: '乌鲁木齐', value: 84},
                    {name: '枣庄', value: 84},
                    {name: '杭州', value: 84},
                    {name: '淄博', value: 85},
                    {name: '鞍山', value: 86},
                    {name: '溧阳', value: 86},
                    {name: '库尔勒', value: 86},
                    {name: '安阳', value: 90},
                    {name: '开封', value: 90},
                    {name: '济南', value: 92},
                    {name: '德阳', value: 93},
                    {name: '温州', value: 95},
                    {name: '九江', value: 96},
                    {name: '邯郸', value: 98},
                    {name: '临安', value: 99},
                    {name: '兰州', value: 99},
                    {name: '沧州', value: 100},
                    {name: '临沂', value: 103},
                    {name: '南充', value: 104},
                    {name: '天津', value: 105},
                    {name: '富阳', value: 106},
                    {name: '泰安', value: 112},
                    {name: '诸暨', value: 112},
                    {name: '郑州', value: 113},
                    {name: '哈尔滨', value: 114},
                    {name: '聊城', value: 116},
                    {name: '芜湖', value: 117},
                    {name: '唐山', value: 119},
                    {name: '平顶山', value: 119},
                    {name: '邢台', value: 119},
                    {name: '德州', value: 120},
                    {name: '济宁', value: 120},
                    {name: '荆州', value: 127},
                    {name: '宜昌', value: 130},
                    {name: '义乌', value: 132},
                    {name: '丽水', value: 133},
                    {name: '洛阳', value: 134},
                    {name: '秦皇岛', value: 136},
                    {name: '株洲', value: 143},
                    {name: '石家庄', value: 147},
                    {name: '莱芜', value: 148},
                    {name: '常德', value: 152},
                    {name: '保定', value: 153},
                    {name: '湘潭', value: 154},
                    {name: '金华', value: 157},
                    {name: '岳阳', value: 169},
                    {name: '长沙', value: 175},
                    {name: '衢州', value: 177},
                    {name: '廊坊', value: 193},
                    {name: '菏泽', value: 194},
                    {name: '合肥', value: 229},
                    {name: '武汉', value: 273},
                    {name: '大庆', value: 279}
                ];
                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 convertData = function (data) {
                    var res = [];
                    for (var i = 0; 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 = {
                    title: {
                        text: '全国主要城市空气质量 - 百度地图',
                        subtext: 'data from PM25.in',
                        sublink: 'http://www.pm25.in',
                        left: 'center'
                    },
                    tooltip: {
                        trigger: 'item'
                    },
                    bmap: {
                        center: [104.114129, 37.550339],
                        zoom: 5,
                        roam: true,
                        mapStyle: {
                            styleJson: [{
                                'featureType': 'water',
                                'elementType': 'all',
                                'stylers': {
                                    'color': '#d1d1d1'
                                }
                            }, {
                                'featureType': 'land',
                                'elementType': 'all',
                                'stylers': {
                                    'color': '#f3f3f3'
                                }
                            }, {
                                'featureType': 'railway',
                                'elementType': 'all',
                                'stylers': {
                                    'visibility': 'off'
                                }
                            }, {
                                'featureType': 'highway',
                                'elementType': 'all',
                                'stylers': {
                                    'color': '#fdfdfd'
                                }
                            }, {
                                'featureType': 'highway',
                                'elementType': 'labels',
                                'stylers': {
                                    'visibility': 'off'
                                }
                            }, {
                                'featureType': 'arterial',
                                'elementType': 'geometry',
                                'stylers': {
                                    'color': '#fefefe'
                                }
                            }, {
                                'featureType': 'arterial',
                                'elementType': 'geometry.fill',
                                'stylers': {
                                    'color': '#fefefe'
                                }
                            }, {
                                'featureType': 'poi',
                                'elementType': 'all',
                                'stylers': {
                                    'visibility': 'off'
                                }
                            }, {
                                'featureType': 'green',
                                'elementType': 'all',
                                'stylers': {
                                    'visibility': 'off'
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                                'featureType': 'subway',
                                'elementType': 'all',
                                'stylers': {
                                    'visibility': 'off'
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                            }, {
                                'featureType': 'manmade',
                                'elementType': 'all',
                                'stylers': {
                                    'color': '#d1d1d1'
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                                'featureType': 'local',
                                'elementType': 'all',
                                'stylers': {
                                    'color': '#d1d1d1'
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                                'featureType': 'arterial',
                                'elementType': 'labels',
                                'stylers': {
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                                'elementType': 'all',
                                'stylers': {
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                                'elementType': 'all',
                                'stylers': {
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                                'featureType': 'label',
                                'elementType': 'labels.text.fill',
                                'stylers': {
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                            }]
                        }
                    },
                    series: [
                        {
                            name: 'pm2.5',
                            type: 'scatter',
                            coordinateSystem: 'bmap',
                            data: convertData(data),
                            symbolSize: function (val) {
                                return val[2] / 10;
                            },
                            label: {
                                normal: {
                                    formatter: '{b}',
                                    position: 'right',
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                            name: 'Top 5',
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                                return val[2] / 10;
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                                    formatter: '{b}',
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                                    shadowColor: '#333'
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                this.myChart.setOption(option);
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            qiu() {

                var data = [
                    {name: '海门', value: 9},
                    {name: '鄂尔多斯', value: 12},
                    {name: '招远', value: 12},
                    {name: '舟山', value: 12},
                    {name: '齐齐哈尔', value: 14},
                    {name: '盐城', value: 15},
                    {name: '赤峰', value: 16},
                    {name: '青岛', value: 18},
                    {name: '乳山', value: 18},
                    {name: '金昌', value: 19},
                    {name: '泉州', value: 21},
                    {name: '莱西', value: 21},
                    {name: '日照', value: 21},
                    {name: '胶南', value: 22},
                    {name: '南通', value: 23},
                    {name: '拉萨', value: 24},
                    {name: '云浮', value: 24},
                    {name: '梅州', value: 25},
                    {name: '文登', value: 25},
                    {name: '上海', value: 25},
                    {name: '攀枝花', value: 25},
                    {name: '威海', value: 25},
                    {name: '承德', value: 25},
                    {name: '厦门', value: 26},
                    {name: '汕尾', value: 26},
                    {name: '潮州', value: 26},
                    {name: '丹东', value: 27},
                    {name: '太仓', value: 27},
                    {name: '曲靖', value: 27},
                    {name: '烟台', value: 28},
                    {name: '福州', value: 29},
                    {name: '瓦房店', value: 30},
                    {name: '即墨', value: 30},
                    {name: '抚顺', value: 31},
                    {name: '玉溪', value: 31},
                    {name: '张家口', value: 31},
                    {name: '阳泉', value: 31},
                    {name: '莱州', value: 32},
                    {name: '湖州', value: 32},
                    {name: '汕头', value: 32},
                    {name: '昆山', value: 33},
                    {name: '宁波', value: 33},
                    {name: '湛江', value: 33},
                    {name: '揭阳', value: 34},
                    {name: '荣成', value: 34},
                    {name: '连云港', value: 35},
                    {name: '葫芦岛', value: 35},
                    {name: '常熟', value: 36},
                    {name: '东莞', value: 36},
                    {name: '河源', value: 36},
                    {name: '淮安', value: 36},
                    {name: '泰州', value: 36},
                    {name: '南宁', value: 37},
                    {name: '营口', value: 37},
                    {name: '惠州', value: 37},
                    {name: '江阴', value: 37},
                    {name: '蓬莱', value: 37},
                    {name: '韶关', value: 38},
                    {name: '嘉峪关', value: 38},
                    {name: '广州', value: 38},
                    {name: '延安', value: 38},
                    {name: '太原', value: 39},
                    {name: '清远', value: 39},
                    {name: '中山', value: 39},
                    {name: '昆明', value: 39},
                    {name: '寿光', value: 40},
                    {name: '盘锦', value: 40},
                    {name: '长治', value: 41},
                    {name: '深圳', value: 41},
                    {name: '珠海', value: 42},
                    {name: '宿迁', value: 43},
                    {name: '咸阳', value: 43},
                    {name: '铜川', value: 44},
                    {name: '平度', value: 44},
                    {name: '佛山', value: 44},
                    {name: '海口', value: 44},
                    {name: '江门', value: 45},
                    {name: '章丘', value: 45},
                    {name: '肇庆', value: 46},
                    {name: '大连', value: 47},
                    {name: '临汾', value: 47},
                    {name: '吴江', value: 47},
                    {name: '石嘴山', value: 49},
                    {name: '沈阳', value: 50},
                    {name: '苏州', value: 50},
                    {name: '茂名', value: 50},
                    {name: '嘉兴', value: 51},
                    {name: '长春', value: 51},
                    {name: '胶州', value: 52},
                    {name: '银川', value: 52},
                    {name: '张家港', value: 52},
                    {name: '三门峡', value: 53},
                    {name: '锦州', value: 54},
                    {name: '南昌', value: 54},
                    {name: '柳州', value: 54},
                    {name: '三亚', value: 54},
                    {name: '自贡', value: 56},
                    {name: '吉林', value: 56},
                    {name: '阳江', value: 57},
                    {name: '泸州', value: 57},
                    {name: '西宁', value: 57},
                    {name: '宜宾', value: 58},
                    {name: '呼和浩特', value: 58},
                    {name: '成都', value: 58},
                    {name: '大同', value: 58},
                    {name: '镇江', value: 59},
                    {name: '桂林', value: 59},
                    {name: '张家界', value: 59},
                    {name: '宜兴', value: 59},
                    {name: '北海', value: 60},
                    {name: '西安', value: 61},
                    {name: '金坛', value: 62},
                    {name: '东营', value: 62},
                    {name: '牡丹江', value: 63},
                    {name: '遵义', value: 63},
                    {name: '绍兴', value: 63},
                    {name: '扬州', value: 64},
                    {name: '常州', value: 64},
                    {name: '潍坊', value: 65},
                    {name: '重庆', value: 66},
                    {name: '台州', value: 67},
                    {name: '南京', value: 67},
                    {name: '滨州', value: 70},
                    {name: '贵阳', value: 71},
                    {name: '无锡', value: 71},
                    {name: '本溪', value: 71},
                    {name: '克拉玛依', value: 72},
                    {name: '渭南', value: 72},
                    {name: '马鞍山', value: 72},
                    {name: '宝鸡', value: 72},
                    {name: '焦作', value: 75},
                    {name: '句容', value: 75},
                    {name: '北京', value: 79},
                    {name: '徐州', value: 79},
                    {name: '衡水', value: 80},
                    {name: '包头', value: 80},
                    {name: '绵阳', value: 80},
                    {name: '乌鲁木齐', value: 84},
                    {name: '枣庄', value: 84},
                    {name: '杭州', value: 84},
                    {name: '淄博', value: 85},
                    {name: '鞍山', value: 86},
                    {name: '溧阳', value: 86},
                    {name: '库尔勒', value: 86},
                    {name: '安阳', value: 90},
                    {name: '开封', value: 90},
                    {name: '济南', value: 92},
                    {name: '德阳', value: 93},
                    {name: '温州', value: 95},
                    {name: '九江', value: 96},
                    {name: '邯郸', value: 98},
                    {name: '临安', value: 99},
                    {name: '兰州', value: 99},
                    {name: '沧州', value: 100},
                    {name: '临沂', value: 103},
                    {name: '南充', value: 104},
                    {name: '天津', value: 105},
                    {name: '富阳', value: 106},
                    {name: '泰安', value: 112},
                    {name: '诸暨', value: 112},
                    {name: '郑州', value: 113},
                    {name: '哈尔滨', value: 114},
                    {name: '聊城', value: 116},
                    {name: '芜湖', value: 117},
                    {name: '唐山', value: 119},
                    {name: '平顶山', value: 119},
                    {name: '邢台', value: 119},
                    {name: '德州', value: 120},
                    {name: '济宁', value: 120},
                    {name: '荆州', value: 127},
                    {name: '宜昌', value: 130},
                    {name: '义乌', value: 132},
                    {name: '丽水', value: 133},
                    {name: '洛阳', value: 134},
                    {name: '秦皇岛', value: 136},
                    {name: '株洲', value: 143},
                    {name: '石家庄', value: 147},
                    {name: '莱芜', value: 148},
                    {name: '常德', value: 152},
                    {name: '保定', value: 153},
                    {name: '湘潭', value: 154},
                    {name: '金华', value: 157},
                    {name: '岳阳', value: 169},
                    {name: '长沙', value: 175},
                    {name: '衢州', value: 177},
                    {name: '廊坊', value: 193},
                    {name: '菏泽', value: 194},
                    {name: '合肥', value: 229},
                    {name: '武汉', value: 273},
                    {name: '大庆', value: 279}
                ];

                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],
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                    '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 convertData = function (data) {
                    var res = [];
                    for (var i = 0; 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;
                };

                function renderItem(params, api) {
                    var coords = [
                        [116.7, 39.53],
                        [103.73, 36.03],
                        [112.91, 27.87],
                        [120.65, 28.01],
                        [119.57, 39.95]
                    ];
                    var points = [];
                    for (var i = 0; i < coords.length; i++) {
                        points.push(api.coord(coords[i]));
                    }
                    var color = api.visual('color');

                    return {
                        type: 'polygon',
                        shape: {
                            points: echarts.graphic.clipPointsByRect(points, {
                                x: params.coordSys.x,
                                y: params.coordSys.y,
                                width: params.coordSys.width,
                                height: params.coordSys.height
                            })
                        },
                        style: api.style({
                            fill: color,
                            stroke: echarts.color.lift(color)
                        })
                    };
                }

                var option = {
                    // backgroundColor: '#404a59',
                    title: {
                        text: '全国主要城市空气质量',
                        subtext: 'data from PM25.in',
                        sublink: 'http://www.pm25.in',
                        left: 'center',
                        textStyle: {
                            color: '#fff'
                        }
                    },
                    tooltip: {
                        trigger: 'item'
                    },
                    bmap: {
                        center: [104.114129, 37.550339],
                        zoom: 5,
                        roam: true,
                        mapStyle: {
                            styleJson: [
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                    '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.push({
                                name: data[i].name,
                                value: geoCoord.concat(data[i].value)
                            });
                        }
                    }
                    return res;
                };

                var option = {
                    title: {
                        text: '全国主要城市空气质量 - 百度地图',
                        subtext: 'data from PM25.in',
                        sublink: 'http://www.pm25.in',
                        left: 'center'
                    },
                    tooltip: {
                        trigger: 'item'
                    },
                    bmap: {
                        center: [104.114129, 37.550339],
                        zoom: 5,
                        roam: true,
                        mapStyle: {
                            styleJson: [{
                                'featureType': 'water',
                                'elementType': 'all',
                                'stylers': {
                                    'color': '#d1d1d1'
                                }
                            }, {
                                'featureType': 'land',
                                'elementType': 'all',
                                'stylers': {
                                    'color': '#f3f3f3'
                                }
                            }, {
                                'featureType': 'railway',
                                'elementType': 'all',
                                'stylers': {
                                    'visibility': 'off'
                                }
                            }, {
                                'featureType': 'highway',
                                'elementType': 'all',
                                'stylers': {
                                    'color': '#fdfdfd'
                                }
                            }, {
                                'featureType': 'highway',
                                'elementType': 'labels',
                                'stylers': {
                                    'visibility': 'off'
                                }
                            }, {
                                'featureType': 'arterial',
                                'elementType': 'geometry',
                                'stylers': {
                                    'color': '#fefefe'
                                }
                            }, {
                                'featureType': 'arterial',
                                'elementType': 'geometry.fill',
                                'stylers': {
                                    'color': '#fefefe'
                                }
                            }, {
                                'featureType': 'poi',
                                'elementType': 'all',
                                'stylers': {
                                    'visibility': 'off'
                                }
                            }, {
                                'featureType': 'green',
                                'elementType': 'all',
                                'stylers': {
                                    'visibility': 'off'
                                }
                            }, {
                                'featureType': 'subway',
                                'elementType': 'all',
                                'stylers': {
                                    'visibility': 'off'
                                }
                            }, {
                                'featureType': 'manmade',
                                'elementType': 'all',
                                'stylers': {
                                    'color': '#d1d1d1'
                                }
                            }, {
                                'featureType': 'local',
                                'elementType': 'all',
                                'stylers': {
                                    'color': '#d1d1d1'
                                }
                            }, {
                                'featureType': 'arterial',
                                'elementType': 'labels',
                                'stylers': {
                                    'visibility': 'off'
                                }
                            }, {
                                'featureType': 'boundary',
                                'elementType': 'all',
                                'stylers': {
                                    'color': '#fefefe'
                                }
                            }, {
                                'featureType': 'building',
                                'elementType': 'all',
                                'stylers': {
                                    'color': '#d1d1d1'
                                }
                            }, {
                                'featureType': 'label',
                                'elementType': 'labels.text.fill',
                                'stylers': {
                                    'color': '#999999'
                                }
                            }]
                        }
                    },
                    series: [
                        {
                            name: 'pm2.5',
                            type: 'scatter',
                            coordinateSystem: 'bmap',
                            data: convertData(data),
                            symbolSize: function (val) {
                                return val[2] / 10;
                            },
                            label: {
                                normal: {
                                    formatter: '{b}',
                                    position: 'right',
                                    show: false
                                },
                                emphasis: {
                                    show: true
                                }
                            },
                            itemStyle: {
                                normal: {
                                    color: 'purple'
                                }
                            }
                        },
                        {
                            name: 'Top 5',
                            type: 'effectScatter',
                            coordinateSystem: 'bmap',
                            data: convertData(data.sort(function (a, b) {
                                return b.value - a.value;
                            }).slice(0, 6)),
                            symbolSize: function (val) {
                                return val[2] / 10;
                            },
                            showEffectOn: 'render',
                            rippleEffect: {
                                brushType: 'stroke'
                            },
                            hoverAnimation: true,
                            label: {
                                normal: {
                                    formatter: '{b}',
                                    position: 'right',
                                    show: true
                                }
                            },
                            itemStyle: {
                                normal: {
                                    color: 'purple',
                                    shadowBlur: 10,
                                    shadowColor: '#333'
                                }
                            },
                            zlevel: 1
                        }
                    ]
                };
                this.myChart = echarts.init(document.getElementById("box"));
                this.myChart.setOption(option);

            }, //  全国空气质量
            henan() {
                this.text = data1;

                echarts.registerMap('henan', data1 );//hennanJson名称取自henan.js里的var  henanJson变量名


                var chart = echarts.init(document.getElementById('box'));
                chart.setOption({
                    series: [{
                        type: 'map',
                        map: 'henan'
                    }]
                });

            },
            neimenggu() {
                let that = this;
                let chart = that.$echarts.init(document.getElementById("box"));
                let name = "广东";
                let option = {
                    geo: {
                        map: name,
                        label: {
                            normal: {
                                show: true,
                                textStyle: {
                                    color: '#fff',
                                    fontSize: 20
                                }
                            },
                            emphasis: {
                                textStyle: {
                                    color: '#fff'
                                }
                            }
                        },
                        itemStyle: {
                            normal: {
                                borderColor: 'rgba(147, 235, 248, 1)',
                                borderWidth: 1,
                                areaColor: {//背景色
                                    type: 'radial',
                                    x: 0.5,
                                    y: 0.5,
                                    r: 0.8,
                                    colorStops: [{
                                        offset: 0,
                                        color: 'rgba(4, 129, 181, 0.2)' // 0% 处的颜色
                                    }, {
                                        offset: 1,
                                        color: 'rgba(4, 129, 181, 0.4)' // 100% 处的颜色
                                    }],
                                    globalCoord: false // 缺省为 false
                                },
                                shadowColor: 'rgba(128, 217, 248, 1)',
                                shadowOffsetX: -2,
                                shadowOffsetY: 2,
                                shadowBlur: 10
                            },
                            emphasis: {
                                areaColor: '#389BB7',
                                borderWidth: 0
                            }
                        },
                    },
                    series: [
                        {
                            type: 'effectScatter',
                            coordinateSystem: 'geo',
                        }
                    ]
                }
                // that.$echarts.registerMap(name,neimenggu);//这句是由于返回的时候点击某个按钮,又执行了这个方法,但是地图不能加载,所以我注册了一下,用的json 数据,可写可不写
                chart.setOption(option);//注意这句要放在registerMap后面,要不然地图就变成了双击才能下钻!!!!md,找了好久原因

                var ccc = ccc;
                chart.on('click', function(params){

                    console.log(params);
                    //如果数组没有代表到了区县,跳出循环
                    // if(that.mapList.indexOf(params.name) < 0){
                    //     return
                    // }
                    //根据点击的市,加载不同json

                    let mapJson;
                    switch(params.name){
                        case '"额济纳旗"':
                            mapJson = ccc;
                            break;
                        case '包头市':
                            mapJson = baotoushi;
                            break;
                        case '乌海市':
                            mapJson = wuhaishi;
                            break;
                        case '赤峰市':
                            mapJson = chifengshi;
                            break;
                        case '通辽市':
                            mapJson = tongliaoshi;
                            break;
                        case '鄂尔多斯市':
                            mapJson = eerduosishi;
                            break;
                        case '呼伦贝尔市':
                            mapJson = hulunbeiershi;
                            break;
                        case '巴彦淖尔市':
                            mapJson = bayannaoershi;
                            break;
                        case '乌兰察布市':
                            mapJson = wulanchabushi;
                            break;
                        case '兴安盟':
                            mapJson = xinganmeng;
                            break;
                        case '锡林郭勒盟':
                            mapJson = xilinguolemeng;
                            break;
                        case '阿拉善盟':
                            mapJson = alashanmeng;
                            break;
                    }
                    //下面的name需要为“内蒙古”,而不是具体点击的市
                    console.log(name+"----"+ccc);
                    that.$echarts.registerMap(name,ckd);

                    chart.setOption(option);
                    chart.on('click', function(params){

                        console.log(params);
                        //如果数组没有代表到了区县,跳出循环
                        // if(that.mapList.indexOf(params.name) < 0){
                        //     return
                        // }
                        //根据点击的市,加载不同json

                        let mapJson;
                        switch(params.name){
                            case '"额济纳旗"':
                                mapJson = ccc;
                                break;
                            case '包头市':
                                mapJson = baotoushi;
                                break;
                            case '乌海市':
                                mapJson = wuhaishi;
                                break;
                            case '赤峰市':
                                mapJson = chifengshi;
                                break;
                            case '通辽市':
                                mapJson = tongliaoshi;
                                break;
                            case '鄂尔多斯市':
                                mapJson = eerduosishi;
                                break;
                            case '呼伦贝尔市':
                                mapJson = hulunbeiershi;
                                break;
                            case '巴彦淖尔市':
                                mapJson = bayannaoershi;
                                break;
                            case '乌兰察布市':
                                mapJson = wulanchabushi;
                                break;
                            case '兴安盟':
                                mapJson = xinganmeng;
                                break;
                            case '锡林郭勒盟':
                                mapJson = xilinguolemeng;
                                break;
                            case '阿拉善盟':
                                mapJson = alashanmeng;
                                break;
                        }
                        //下面的name需要为“内蒙古”,而不是具体点击的市
                        console.log(name+"----"+ccc);
                        that.$echarts.registerMap(name,ckds);
                        chart.setOption(option);
                    })
            })
            }

        },
        mounted() {
            // var map = new BMap.Map("box");
            //创建坐标点
            // var point = new BMap.Point(116.404,39.915);
            // //初始化实例,传入坐标点并设置地图级别
            // map.centerAndZoom(point,15);
            // map.enableScrollWheelZoom(true);


            // this.show();  涟漪效果
            // this.qiu();
            // bmap效果
            // this.air();
            // this.henan();
            this.neimenggu();

        },

    }
</script>
<style scoped>
    #box {
        width: 100%;
        height: 900px;
        border: 1px solid #333;
    }

</style>

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