店铺分布echarts scatter配置项内容和展示

      const 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],
    // 省份

    '新疆': [86.61, 40.79],
    '西藏': [89.13, 30.66],
    '黑龙江': [128.34, 47.05],
    '吉林': [126.32, 43.38],
    '辽宁': [123.42, 41.29],
    '内蒙古': [112.17, 42.81],
    '北京': [116.40, 40.40],
    '宁夏': [106.27, 36.76],
    '山西': [111.95, 37.65],
    '河北': [115.21, 38.44],
    '天津': [117.04, 39.52],
    '青海': [97.07, 35.62],
    '甘肃': [103.82, 36.05],
    '山东': [118.01, 36.37],
    '陕西': [108.94, 34.46],
    '河南': [113.46, 34.25],
    '安徽': [117.28, 31.86],
    '江苏': [120.26, 32.54],
    '上海': [121.46, 31.28],
    '四川': [103.36, 30.65],
    '湖北': [112.29, 30.98],
    '浙江': [120.15, 29.28],
    '重庆': [107.51, 29.63],
    '湖南': [112.08, 27.79],
    '江西': [115.89, 27.97],
    '贵州': [106.91, 26.67],
    '福建': [118.31, 26.07],
    '云南': [101.71, 24.84],
    '台湾': [121.01, 23.54],
    '广西': [108.67, 23.68],
    '广东': [113.98, 22.82],
    '海南': [110.03, 19.33],
    '澳门': [113.54, 22.19],
    '香港': [114.17, 22.32],
};


// 点
const dataCity = [
  { name: '哈尔滨', value: 12 },
  { name: '北京', value: 12 },
  { name: '上海', value: 12 },
  { name: '深圳', value: 12 }
];


// 气泡数据
const toolTipData = [
    { name: "哈尔滨", value: [{ name: "店铺", value: 710 }, { name: "会员", value: 4531 }] },
    { name: "北京", value: [{ name: "店铺", value: 891 }, { name: "会员", value: 1764 }] },
    { name: "上海", value: [{ name: "店铺", value: 760 }, { name: "会员", value: 1560 }] },
    { name: "深圳", value: [{ name: "店铺", value: 270 }, { name: "会员", value: 1302 }] }
];

//气泡背景
const svgPath = "path://M2126.459005 0H73.326173a73.326173 73.326173 0 0 0-73.326173 73.326173v586.60938a73.326173 73.326173 0 0 0 73.326173 73.326173h735.828141L1099.892589 1024 1390.630863 733.261726H2126.459005a73.326173 73.326173 0 0 0 73.326172-73.326173V73.326173a73.326173 73.326173 0 0 0-73.326172-73.326173z";

option = {
    backgroundColor:'#030F35',
    tooltip: {
        trigger: 'item',
        formatter: function (params) {
            let toolTiphtml = params.name + '<br>';
            toolTiphtml += "<span style='display:inline-block;margin-right:5px;border-radius:10px;width:10px;height:10px;background-color:#00A9EC;'></span>";
            toolTiphtml += params.value[2].name + '：' + params.value[2].value + "<br>";
            toolTiphtml += "<span style='display:inline-block;margin-right:5px;border-radius:10px;width:10px;height:10px;background-color:#5855D6;'></span>";
            toolTiphtml += params.value[3].name + '：' + params.value[3].value + "<br>";
            return toolTiphtml;
        },
        show: false
    },
    geo: {
        map: 'china',
        roam: false,
        zoom: 1.2,
        label: {
            emphasis: {
                show: true,
                color: "#fff"
            }
        },
        itemStyle: {
            normal: {
                // 地图省份的背景色
                areaColor: "rgba(0, 169, 236, 0.8)",
                borderColor: "rgba(43, 196, 243, 1)",
                borderWidth: 1
            },
            emphasis: {
                areaColor: "#2B91B7"
            }
        },

    },
    series: [
      {

          //气泡
          type: 'scatter',
          coordinateSystem: 'geo',
          symbol: svgPath,
          symbolOffset: [0, '-50%'],
          symbolSize: function (val) {
              return 80;
          },
          label: {
              normal: {
                  show: true,
                  //formatter: '{b}',
                  formatter: function (params) {
                      let item = {};
                      let toolTiphtml = "\n";
                      for (let i = 2; i < 4; i++) {
                          item = params.value[i];
                          toolTiphtml += item.name + '：' + item.value + "\n\n";
                      }
                      return toolTiphtml;
                  },
                  textStyle: {
                      color: '#fff',
                      fontSize: 13,
                  }
              }
          },
          itemStyle: {
              normal: {
                  color: '#FF7C14', //标志颜色
              }
          },
          zlevel: 6,
          data: convertData(toolTipData),
      },
      {
          name: "城市",
          //圆点
          type: 'effectScatter',
          coordinateSystem: 'geo',
          symbolSize: 15,
          symbol: 'circle',
          label: {
              formatter: '{b}',
              position: 'right',
              show: true
          },
          itemStyle: {
              color: '#ffffff'
          },
          emphasis: {
              label: {
                  show: false
              }
          },
          data: convertData(dataCity),
      },

    ]
};


function convertData(data) {
    let res = [];
    for (let i = 0; i < data.length; i++) {
        const item = data[i];
        let geoCoord = geoCoordMap[item.name];
        if (geoCoord) {
            res.push({
                name: item.name,
                value: geoCoord.concat(item.value)
            });
        }
    }
    return res;
};