@vue+echarts实现中国地图流动效果
#话不多说看效果图
操作步骤:
执行命令:npm run echarts -s 并回车
看到这样的提示代表安装成功 PS:网络不好的情况建议用cnpm淘宝镜像(全局终端执行命令:npm i -g cnpm --registry=https://registry.npm.taobao.org)
下载china.js
链接: https://pan.baidu.com/s/1EODVh9tJNEbFebbrhKyd_Q 提取码: gjz4
引入
import echarts from 'echarts/lib/echarts'; import '@/map/china.js';
写一个echarts容器 绑定ref
<div class="wrapper"> <div class="map-container" style="width: 100%; height: 100%" ref="myEchart" ></div> </div>
配置option (有必要的注释都已标记)
<script> let echarts = require("echarts"); import "echarts/lib/component/markLine"; mounted(){ let data = [ { "name": "北京", "dataCount": [0, 1, 0, 0, 0, 0, 1], "id": "247" }, { "name": "天津", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "248" }, { "name": "河北", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "249" }, { "name": "山西", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "250" }, { "name": "内蒙古", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "251" }, { "name": "辽宁", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "252" }, { "name": "吉林", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "253" }, { "name": "黑龙江", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "254" }, { "name": "上海", "dataCount": [0, 1, 0, 0, 0, 0, 0], "id": "255" }, { "name": "江苏", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "256" }, { "name": "浙江", "dataCount": [0, 1, 0, 0, 0, 0, 0], "id": "257" }, { "name": "安徽", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "258" }, { "name": "福建", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "259" }, { "name": "江西", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "260" }, { "name": "山东", "dataCount": [14235, 820, 0, 35, 0, 0, 4], "id": "261" }, { "name": "河南", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "262" }, { "name": "湖北", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "263" }, { "name": "湖南", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "264" }, { "name": "广东", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "265" }, { "name": "广西", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "266" }, { "name": "海南", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "267" }, { "name": "重庆", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "268" }, { "name": "四川", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "269" }, { "name": "贵州", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "270" }, { "name": "云南", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "271" }, { "name": "西藏", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "272" }, { "name": "陕西", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "273" }, { "name": "甘肃", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "274" }, { "name": "青海", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "275" }, { "name": "宁夏", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "276" }, { "name": "新疆", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "277" }, { "name": "台湾", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "278" }, { "name": "香港", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "279" }, { "name": "澳门", "dataCount": [0, 0, 0, 0, 0, 0, 0], "id": "280" }] let chinaGeoCoordMap ={ '黑龙江': [127.9688, 45.368,1], '内蒙古': [110.3467, 41.4899,1], '吉林': [125.8154, 44.2584,1], '北京': [116.4551, 40.2539,2], '辽宁': [123.1238, 42.1216,1], '河北': [114.4995, 38.1006,1], '天津': [117.4219, 39.4189,1], '山西': [112.3352, 37.9413,1], '陕西': [109.1162, 34.2004,1], '甘肃': [103.5901, 36.3043,1], '宁夏': [106.3586, 38.1775,1], '青海': [101.4038, 36.8207,1], '新疆': [87.9236, 43.5883,1], '西藏': [91.11, 29.97,1], '四川': [103.9526, 30.7617,1], '重庆': [108.384366, 30.439702,1], '山东': [117.1582, 36.8701,1], '河南': [113.4668, 34.6234,1], '江苏': [118.8062, 31.9208,1], '安徽': [117.29, 32.0581,1], '湖北': [114.3896, 30.6628,1], '浙江': [119.5313, 29.8773,1], '福建': [119.4543, 25.9222,1], '江西': [116.0046, 28.6633,1], '湖南': [113.0823, 28.2568,1], '贵州': [106.6992, 26.7682,1], '云南': [102.9199, 25.4663,1], '广东': [113.12244, 23.009505,1], '广西': [108.479, 23.1152,1], '海南': [110.3893, 19.8516,1], '上海': [121.4648, 31.2891,1], '台湾': [120.991676054688, 24.7801149726563,1], '澳门': [113.33, 22.11,1], '香港': [114.15, 22.15,1] } for (let i=0;i<data.length;i++){ var da = chinaGeoCoordMap[data[i].name]; chinaGeoCoordMap[data[i].name]=[...da,...data[i].dataCount]; } let chinaDatas = [ [{ name: '北京', value: 2 }], [{ name: '黑龙江', value: 1 }], [{ name: '内蒙古', value: 1 }], [{ name: '吉林', value: 1 }], [{ name: '辽宁', value: 1 }], [{ name: '河北', value: 1 }], [{ name: '天津', value: 1 }], [{ name: '山西', value: 1 }], [{ name: '陕西', value: 1 }], [{ name: '甘肃', value: 1 }], [{ name: '宁夏', value: 1 }], [{ name: '青海', value: 1 }], [{ name: '新疆', value: 1 }], [{ name: '西藏', value: 1 }], [{ name: '四川', value: 1 }], [{ name: '重庆', value: 1 }], [{ name: '山东', value: 1 }], [{ name: '河南', value: 1 }], [{ name: '江苏', value: 1 }], [{ name: '安徽', value: 1 }], [{ name: '湖北', value: 1 }], [{ name: '浙江', value: 1 }], [{ name: '福建', value: 1 }], [{ name: '江西', value: 1 }], [{ name: '湖南', value: 1 }], [{ name: '贵州', value: 1 }], [{ name: '广东', value: 1 }], [{ name: '广西', value: 1 }], [{ name: '云南', value: 1 }], [{ name: '海南', value: 1 }], [{ name: '上海', value: 1 }], [{ name: '台湾', value: 1 }], [{ name: '澳门', value: 1 }], [{ name: '香港', value: 1 }] ] let convertData = function (data) { var res = []; for (var i = 0; i < data.length; i++) { var dataItem = data[i]; var fromCoord = [chinaGeoCoordMap[dataItem[0].name][0], chinaGeoCoordMap[dataItem[0].name][1]]; var toCoord = [117.1582, 36.8701]; if (fromCoord && toCoord) { res.push([{ coord: fromCoord, value: dataItem[0].value }, { coord: toCoord, }]); } } return res; }; let seriesA = [] seriesA.push( { type: 'lines', zlevel: 1, effect: { show: true, period: 4, //箭头指向速度,值越小速度越快 trailLength: 0.3, //特效尾迹长度[0,1]值越大,尾迹越长重 symbol: 'pin', //箭头图标 symbolSize: 8, //图标大小 color: '#2a6fd9' }, lineStyle: { normal: { color: '#003262', width: 1,//尾迹线条宽度 opacity: .9, //尾迹线条透明度 curveness: .3 //尾迹线条曲直度 } }, data: convertData(chinaDatas) }, { type: 'effectScatter', coordinateSystem: 'geo', zlevel: 2, rippleEffect: { // 涟漪特效 period: 2, // 动画时间,值越小速度越快 brushType: 'fill', // 波纹绘制方式 stroke, fill scale: 6, // 波纹圆环最大限制,值越大波纹越大 color: '#003262' // 涟漪的颜色,默认为散点的颜色。 }, label: { normal: { show: true, color: '#283c64', position: 'top', // 显示位置 offset: [0, 0], // 偏移设置 formatter: function (params) { // 圆环显示文字 return params.data.name }, fontSize: 13 }, emphasis: { show: false } }, symbol: 'circle', symbolSize: function (val) { return 1 + val[2] * 5 // 圆环大小 }, itemStyle: { color: "#2a6fd9", shadowBlur: 4, shadowColor: "#2a6fd9", }, data: chinaDatas.map(function (dataItem) { return { name: dataItem[0].name, value: chinaGeoCoordMap[dataItem[0].name], itemStyle: { color: "#2a6fd9", shadowBlur: 4, shadowColor: "#2a6fd9", } } }) }, //被攻击点 { type: 'scatter', coordinateSystem: 'geo', zlevel: 2, label: { normal: { show: false, position: 'right', color: 'red', formatter: '{b}', textStyle: { color: "red" } }, emphasis: { show: true, color: "red" } }, symbol: 'pin', symbolSize: 0, data: [{ name: '山东', value: chinaGeoCoordMap['山东'].concat([10]), }], } ); let option = { tooltip: { show: true, trigger: 'item', backgroundColor: '#2e65fd', borderColor: '#FFFFCC', showDelay: 0, hideDelay: 0, enterable: true, transitionDuration: 0, extraCssText: 'z-index:100', formatter: function (params, ticket, callback) { console.log(params) // 根据业务自己拓展要显示的内容 var res = '' var name = params.name var value1 = params.value[params.seriesIndex + 3] || 0 var value2 = params.value[params.seriesIndex + 4] || 0 var value3 = params.value[params.seriesIndex + 5] || 0 var value4 = params.value[params.seriesIndex + 6] || 0 var value5 = params.value[params.seriesIndex + 7] || 0 var value6 = params.value[params.seriesIndex + 8] || 0 var value7 = params.value[params.seriesIndex + 9] || 0 res = "<span style='color:#fff'>" + name + '</span>' + '<br/>' + '<i class="icon icon-xuesheng"></i> 学生:' + value1+ '<br/>' + '<i class="icon icon-laoshi_huaban"></i> 老师:'+value2+ '<br/>' + '<i class="icon icon-baoanxiehui"></i> 青企协:'+value3+ '<br/>' + '<i class="icon icon-rencaizhengce"></i> 青年企业家:'+value4+ '<br/>' + '<i class="icon icon-investmentinstitutions"></i> 十强产业:'+value5+ '<br/>' + '<i class="icon icon-caozuoyaoqingjiabin"></i> 峰会嘉宾:'+value6+ '<br/>' + '<i class="icon icon-rencai"></i> 高端人才:'+value7 return res } }, regions: [ //隐藏南海 { name: "南海诸岛", itemStyle: { normal: { borderColor: "red", borderWidth: 20, //设置外层边框 opacity: 0, // 为 0 时不绘制该图形 }, }, label: { show: false, // 隐藏文字 }, }, ], backgroundColor: "rgba(0, 0, 0, 0.1)", geo: { map: 'china', zoom: 1.2, label: { normal: { color: '#1e2d4c' }, emphasis: { show: false } }, roam: false, // 是否允许缩放 itemStyle: { normal: { //地图便框设置 borderColor: "#003262", borderWidth: 11, //设置外层边框 }, emphasis: { areaColor: "#003262", shadowColor: "#003262", }, }, itemStyle: { normal: { color: '', // 地图背景色 borderColor: '#5ea8ff', // 省市边界线00fcff 516a89 borderWidth: 1 }, emphasis: { color: '#81acff' // 悬浮背景 } } }, series: seriesA } } </script>
初始化echarts就可以了
this.myEchart = echarts.init(this.$refs.myEchart); this.myEchart.setOption(option);
免责声明:本站文章均来自网站采集或用户投稿,网站不提供任何软件下载或自行开发的软件!
如有用户或公司发现本站内容信息存在侵权行为,请邮件告知! 858582#qq.com
白云城资源网 Copyright www.dyhadc.com
暂无“vue+echarts实现中国地图流动效果(步骤详解)”评论...
更新日志
2024年12月27日
2024年12月27日
- 小骆驼-《草原狼2(蓝光CD)》[原抓WAV+CUE]
- 群星《欢迎来到我身边 电影原声专辑》[320K/MP3][105.02MB]
- 群星《欢迎来到我身边 电影原声专辑》[FLAC/分轨][480.9MB]
- 雷婷《梦里蓝天HQⅡ》 2023头版限量编号低速原抓[WAV+CUE][463M]
- 群星《2024好听新歌42》AI调整音效【WAV分轨】
- 王思雨-《思念陪着鸿雁飞》WAV
- 王思雨《喜马拉雅HQ》头版限量编号[WAV+CUE]
- 李健《无时无刻》[WAV+CUE][590M]
- 陈奕迅《酝酿》[WAV分轨][502M]
- 卓依婷《化蝶》2CD[WAV+CUE][1.1G]
- 群星《吉他王(黑胶CD)》[WAV+CUE]
- 齐秦《穿乐(穿越)》[WAV+CUE]
- 发烧珍品《数位CD音响测试-动向效果(九)》【WAV+CUE】
- 邝美云《邝美云精装歌集》[DSF][1.6G]
- 吕方《爱一回伤一回》[WAV+CUE][454M]