在vue-cli生成的项目中使用echarts和百度地图api实现飞机迁徙图，当然也可以实现其他效果。

1. 准备

• 项目安装echarts
  在已经生成的vue项目根目录npm install echarts -S

• 百度地图api平台申请百度地图ak

  地址

2. 开始

2.1 加入百度地图api

首先我们在public/inde.html head中引入百度地图api

  <script type="text/javascript" src="http://api.map.baidu.com/api?v=2.0&ak=你申请的ak"></script>

2.2 引入echarts及其他文件

在我们需要绘制迁徙图的组件引入以下文件

import echarts from "echarts";
require("echarts/extension/bmap/bmap");
require("echarts/map/js/china.js");

以下是完整代码：

<template>
  <div class="home">
    <div id="map-chart"></div>
  </div>
</template>
<script>
// @ is an alias to /src
// import BMap from "BMap";
import echarts from "echarts";
require("echarts/extension/bmap/bmap");
require("echarts/map/js/china.js");
export default {
  name: "Home",
  components: {},
  data() {
    return {
      chart: null,
      geoCoordMap: {
        上海: [121.4648, 31.2891],
        东莞: [113.8953, 22.901],
        东营: [118.7073, 37.5513],
        中山: [113.4229, 22.478],
        临汾: [111.4783, 36.1615],
        临沂: [118.3118, 35.2936],
        丹东: [124.541, 40.4242],
        丽水: [119.5642, 28.1854],
        乌鲁木齐: [87.9236, 43.5883],
        佛山: [112.8955, 23.1097],
        保定: [115.0488, 39.0948],
        兰州: [103.5901, 36.3043],
        包头: [110.3467, 41.4899],
        北京: [116.4551, 40.2539],
        北海: [109.314, 21.6211],
        南京: [118.8062, 31.9208],
        南宁: [108.479, 23.1152],
        南昌: [116.0046, 28.6633],
        南通: [121.1023, 32.1625],
        厦门: [118.1689, 24.6478],
        台州: [121.1353, 28.6688],
        合肥: [117.29, 32.0581],
        呼和浩特: [111.4124, 40.4901],
        咸阳: [108.4131, 34.8706],
        哈尔滨: [127.9688, 45.368],
        唐山: [118.4766, 39.6826],
        嘉兴: [120.9155, 30.6354],
        大同: [113.7854, 39.8035],
        大连: [122.2229, 39.4409],
        天津: [117.4219, 39.4189],
        太原: [112.3352, 37.9413],
        威海: [121.9482, 37.1393],
        宁波: [121.5967, 29.6466],
        宝鸡: [107.1826, 34.3433],
        宿迁: [118.5535, 33.7775],
        常州: [119.4543, 31.5582],
        广州: [113.5107, 23.2196],
        廊坊: [116.521, 39.0509],
        延安: [109.1052, 36.4252],
        张家口: [115.1477, 40.8527],
        徐州: [117.5208, 34.3268],
        德州: [116.6858, 37.2107],
        惠州: [114.6204, 23.1647],
        成都: [103.9526, 30.7617],
        扬州: [119.4653, 32.8162],
        承德: [117.5757, 41.4075],
        拉萨: [91.1865, 30.1465],
        无锡: [120.3442, 31.5527],
        日照: [119.2786, 35.5023],
        昆明: [102.9199, 25.4663],
        杭州: [119.5313, 29.8773],
        枣庄: [117.323, 34.8926],
        柳州: [109.3799, 24.9774],
        株洲: [113.5327, 27.0319],
        武汉: [114.3896, 30.6628],
        汕头: [117.1692, 23.3405],
        江门: [112.6318, 22.1484],
        沈阳: [123.1238, 42.1216],
        沧州: [116.8286, 38.2104],
        河源: [114.917, 23.9722],
        泉州: [118.3228, 25.1147],
        泰安: [117.0264, 36.0516],
        泰州: [120.0586, 32.5525],
        济南: [117.1582, 36.8701],
        济宁: [116.8286, 35.3375],
        海口: [110.3893, 19.8516],
        淄博: [118.0371, 36.6064],
        淮安: [118.927, 33.4039],
        深圳: [114.5435, 22.5439],
        清远: [112.9175, 24.3292],
        温州: [120.498, 27.8119],
        渭南: [109.7864, 35.0299],
        湖州: [119.8608, 30.7782],
        湘潭: [112.5439, 27.7075],
        滨州: [117.8174, 37.4963],
        潍坊: [119.0918, 36.524],
        烟台: [120.7397, 37.5128],
        玉溪: [101.9312, 23.8898],
        珠海: [113.7305, 22.1155],
        盐城: [120.2234, 33.5577],
        盘锦: [121.9482, 41.0449],
        石家庄: [114.4995, 38.1006],
        福州: [119.4543, 25.9222],
        秦皇岛: [119.2126, 40.0232],
        绍兴: [120.564, 29.7565],
        聊城: [115.9167, 36.4032],
        肇庆: [112.1265, 23.5822],
        舟山: [122.2559, 30.2234],
        苏州: [120.6519, 31.3989],
        莱芜: [117.6526, 36.2714],
        菏泽: [115.6201, 35.2057],
        营口: [122.4316, 40.4297],
        葫芦岛: [120.1575, 40.578],
        衡水: [115.8838, 37.7161],
        衢州: [118.6853, 28.8666],
        西宁: [101.4038, 36.8207],
        西安: [109.1162, 34.2004],
        贵阳: [106.6992, 26.7682],
        连云港: [119.1248, 34.552],
        邢台: [114.8071, 37.2821],
        邯郸: [114.4775, 36.535],
        郑州: [113.4668, 34.6234],
        鄂尔多斯: [108.9734, 39.2487],
        重庆: [107.7539, 30.1904],
        金华: [120.0037, 29.1028],
        铜川: [109.0393, 35.1947],
        银川: [106.3586, 38.1775],
        镇江: [119.4763, 31.9702],
        长春: [125.8154, 44.2584],
        长沙: [113.0823, 28.2568],
        长治: [112.8625, 36.4746],
        阳泉: [113.4778, 38.0951],
        青岛: [120.4651, 36.3373],
        韶关: [113.7964, 24.7028]
      }
    };
  },
  mounted() {
    this.initChart();
  },
  methods: {
    initChart() {
      const BJData = [
        [{ name: "北京" }, { name: "上海", value: 95 }],
        [{ name: "北京" }, { name: "广州", value: 90 }],
        [{ name: "北京" }, { name: "大连", value: 80 }],
        [{ name: "北京" }, { name: "南宁", value: 70 }],
        [{ name: "北京" }, { name: "南昌", value: 60 }],
        [{ name: "北京" }, { name: "拉萨", value: 50 }],
        [{ name: "北京" }, { name: "长春", value: 40 }],
        [{ name: "北京" }, { name: "包头", value: 30 }],
        [{ name: "北京" }, { name: "重庆", value: 20 }],
        [{ name: "北京" }, { name: "常州", value: 10 }]
      ];
      const SHData = [
        [{ name: "上海" }, { name: "包头", value: 95 }],
        [{ name: "上海" }, { name: "昆明", value: 90 }],
        [{ name: "上海" }, { name: "广州", value: 80 }],
        [{ name: "上海" }, { name: "郑州", value: 70 }],
        [{ name: "上海" }, { name: "长春", value: 60 }],
        [{ name: "上海" }, { name: "重庆", value: 50 }],
        [{ name: "上海" }, { name: "长沙", value: 40 }],
        [{ name: "上海" }, { name: "北京", value: 30 }],
        [{ name: "上海" }, { name: "丹东", value: 20 }],
        [{ name: "上海" }, { name: "大连", value: 10 }]
      ];
      const GZData = [
        [{ name: "广州" }, { name: "福州", value: 95 }],
        [{ name: "广州" }, { name: "太原", value: 90 }],
        [{ name: "广州" }, { name: "长春", value: 80 }],
        [{ name: "广州" }, { name: "重庆", value: 70 }],
        [{ name: "广州" }, { name: "西安", value: 60 }],
        [{ name: "广州" }, { name: "成都", value: 50 }],
        [{ name: "广州" }, { name: "常州", value: 40 }],
        [{ name: "广州" }, { name: "北京", value: 30 }],
        [{ name: "广州" }, { name: "北海", value: 20 }],
        [{ name: "广州" }, { name: "海口", value: 10 }]
      ];
      const color = ["#a6c84c", "#ffa022", "#46bee9"];
      const planePath =
        "path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z";
      const series = [];
      [
        ["北京", BJData],
        ["上海", SHData],
        ["广州", GZData]
      ].forEach((item, i) => {
        series.push(
          {
            name: item[0] + " Top10",
            type: "lines",
            zlevel: 1,
            effect: {
              show: true,
              period: 6,
              trailLength: 0.7,
              color: "#fff",
              symbolSize: 3
            },
            lineStyle: {
              normal: {
                color: color[i],
                width: 0,
                curveness: 0.2
              }
            },
            data: this.convertData(item[1])
          },
          {
            name: item[0] + " Top10",
            type: "lines",
            zlevel: 2,
            symbol: ["none", "arrow"],
            symbolSize: 10,
            effect: {
              show: true,
              period: 6,
              trailLength: 0,
              symbol: planePath,
              symbolSize: 15
            },
            lineStyle: {
              normal: {
                color: color[i],
                width: 1,
                opacity: 0.6,
                curveness: 0.2
              }
            },
            data: this.convertData(item[1])
          },
          {
            name: item[0] + " Top10",
            type: "effectScatter",
            coordinateSystem: "geo",
            zlevel: 2,
            rippleEffect: {
              brushType: "stroke"
            },
            label: {
              normal: {
                show: true,
                position: "right",
                formatter: "{b}"
              }
            },
            symbolSize: function(val) {
              return val[2] / 8;
            },
            itemStyle: {
              normal: {
                color: color[i]
              }
            },
            data: item[1].map(dataItem => {
              return {
                name: dataItem[1].name,
                value: this.geoCoordMap[dataItem[1].name].concat([
                  dataItem[1].value
                ])
              };
            })
          }
        );
      });
      const option = {
        backgroundColor: "#404a59",
        title: {
          text: "模拟迁徙",
          subtext: "数据纯属虚构",
          left: "center",
          textStyle: {
            color: "#fff"
          }
        },
        tooltip: {
          trigger: "item"
        },
        legend: {
          orient: "vertical",
          top: "bottom",
          left: "right",
          data: ["北京 Top10", "上海 Top10", "广州 Top10"],
          textStyle: {
            color: "#fff"
          },
          selectedMode: "single"
        },
        geo: {
          map: "china",
          label: {
            emphasis: {
              show: false
            }
          },
          roam: true,
          itemStyle: {
            normal: {
              areaColor: "#323c48",
              borderColor: "#404a59"
            },
            emphasis: {
              areaColor: "#2a333d"
            }
          }
        },
        series: series
      };
      this.chart = echarts.init(document.getElementById("map-chart"));
      this.chart.setOption(option);
    },
    convertData(data) {
      const res = [];
      for (let i = 0; i < data.length; i++) {
        const dataItem = data[i];
        const fromCoord = this.geoCoordMap[dataItem[0].name];
        const toCoord = this.geoCoordMap[dataItem[1].name];
        if (fromCoord && toCoord) {
          res.push({
            fromName: dataItem[0].name,
            toName: dataItem[1].name,
            coords: [fromCoord, toCoord]
          });
        }
      }
      return res;
    }
  }
};
</script>
<style scoped>
#map-chart {
  width: 100%;
  height: 1000px;
  margin: 0 auto;
}
</style>

2.3 效果图

3 重点

每条路线的都有起始点，type 为 lines，然后增加effect
属性增加运动效果，一个完整的迁徙线的配置如下：

{
    name: "北京 ,
    type: 'lines',
    zlevel: 1,
    effect: {
        show: true,
        period: 6,
        trailLength: 0.7,
        color: "#fff",
        symbolSize: 3
    },
    lineStyle: {
        normal: {
            color: "#a6c84c",
            width: 0,
            curveness: 0.2
        }
    },
    data: [
    {
        fromName: "北京"toName: "上海"coords:['起点坐标', '结束坐标'']},
        ...
    ]
}