vue+echarts实现中国地图流动效果(步骤详解)
这篇文章主要介绍了vue+echarts实现中国地图流动效果(步骤详解),本文给大家介绍的非常详细,对大家的学习或工作具有一定的参考借鉴价值,需要的朋友可以参考下
@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
1 2 | import echarts from 'echarts/lib/echarts' ; import '@/map/china.js' ; |
写一个echarts容器 绑定ref
1 2 3 | <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)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 | <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
1 2 | this .myEchart = echarts.init( this .$refs.myEchart); this .myEchart.setOption(option); |
到此这篇关于vue+echarts实现中国地图流动效果的文章就介绍到这了