目录
前言
近期的app项目中想加一个功能，展示全国各地的某一数据统计情况，想来想去，用echarts做地图数据可视化直观且美观。于是就去研究了如何使用，其实在移动端使用echarts地图踩的bug挺多的，总结如下。
方案一：echarts+百度地图
获取百度地图AK
1、获取SHA1：Android平台云端打包 - 公共测试证书
HBuilderX云端打包选择“公共测试证书”时，用于测试的SHA1值为：97:C8:41:01:B9:14:1C:13:0D:D7:5D:74:28:A2:92:25:18:C3:6D:CD
2、获取PackageName：
但是，一顿操作下来，尽管申请好了ak，会发现。。。
咱也不知道为啥，App服务就被禁用了，在网上搜了好半天，也没摸清为啥。但是好在知道如何解决——重新申请一个浏览器端的。。。别问我为啥，测试过了，能用！！！
申请浏览器端ak需要注意Referer白名单的填写。
安装echarts和引入百度地图api
1、安装echarts
npm install echarts --save
需要注意，这里通过 npm 安装了 ECharts 和 zrender 两个包。
2、去官网上找合适的图表：
这里我们用到的案例是：全国主要城市空气质量 - 百度地图
通过上文，我们已经得到了百度地图的ak，但是如果你直接通过script标签引入，可能会出现一些问题。
<script type="text/javascript" src="http://api.map.baidu.com/api?v=3.0&ak=秘钥"></script>
出现报错的原因是：百度的api还没完全引入或者加载完成，就已经开始进行地图初始化了。
在网上学习了一篇优化方案：uniapp在App端百度地图使用记录
整体思路：通过uniapp中的renderjs动态创建script标签，将标签动态添加到页面中，从而实现百度地图API的引入。
uniapp-renderjs：在视图层操作dom，运行 for web 的 js库，大幅降低逻辑层和视图层的通讯损耗，提供高性能视图交互能力，只支持app-vue和web。
<script module="bmap" lang="renderjs">
...
mounted() {
// 在组件挂载后初始化百度地图
this.initBaiDuMap();
},
methods: {
// 动态创建Script标签并加载脚本
createScript(url) {
return new Promise((resolve, reject) => {
var script = document.createElement('script');
script.type = 'text/javascript';
script.src = url;
script.onload = () => {
resolve();
};
script.onerror = () => {
reject();
};
document.head.appendChild(script);
});
},
// 初始化百度地图
initBaiDuMap() {
const ak = '你申请的百度AK';
// 检查window对象中是否存在BMap对象
if (typeof window.BMap == 'function') {
// 如果BMap对象已存在，直接初始化地图
this.initMap();
} else {
// 如果BMap对象不存在，定义init回调函数，等待脚本加载完成后调用
window.init = () => this.initMap();
// 动态加载百度地图API脚本
this.createScript(`http://api.map.baidu.com/api?v=3.0&ak=${
ak}&callback=init`);
}
},
// 实际初始化地图的方法
initMap() {
// 在这里执行百度地图的初始化操作
...
}
}
...
<scrpit>
完整使用代码
<template>
<div>
<div id="main" style="width: 800px; height: 800px"></div>
</div>
</template>
<script module="bmap" lang="renderjs">
require("echarts/extension/bmap/bmap");
export default {
mounted() {
this.initBaiDuMap()
},
methods: {
createScript(url) {
return new Promise((resolve, reject) => {
var script = document.createElement('script')
script.type = "text/javascript"
script.src = url
script.onload = () => {
resolve()
}
script.onerror = () => {
reject()
}
document.head.appendChild(script)
})
},
initBaiDuMap() {
const ak = '7******i'
if (typeof window.BMap == 'function') {
this.initMap()
} else {
window.init = () => this.initMap()
this.createScript(`http://api.map.baidu.com/api?v=3.0ak=${
ak}&callback=init`)
}
},
async initMap() {
var echarts = require("echarts");
var chartDom = document.getElementById("main");
var myChart = echarts.init(chartDom);
var option;
const 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
},
];
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],
};
const 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;
};
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;
},
encode: {
value: 2,
},
label: {
formatter: "{b}",
position: "right",
show: false,
},
emphasis: {
label: {
show: true,
},
},
},
{
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;
},
encode: {
value: 2,
},
showEffectOn: "render",
rippleEffect: {
brushType: "stroke",
},
label: {
formatter: "{b}",
position: "right",
show: true,
},
itemStyle: {
shadowBlur: 10,
shadowColor: "#333",
},
emphasis: {
scale: true,
},
zlevel: 1,
},
],
};
option && myChart.setOption(option);
}
}
};
</script>
<style>
</style>
效果展示：
方案二：echarts地图和柱状图变形动画
实现思路
方案一应用了之后，发现我们的项目似乎更适合这种区域分布状的，更能直观地展示数据。故而，方案二使用的参考示例：地图柱状图变形动画
先来说说，为什么要使用randerjs
对于UNI APP端的开发而言，由于上并没有document，所以我们不能进行相关的DOM操作，同时有关DOM渲染的第三方库(echart、openlayer等)也无法有效的使用，因此官方推出了renderjs方案，来解决上述问题。
renderjs解读
需要注意的是安装echarts之后，里面有中国全国分布地图的信息。
完整使用代码
<template>
<div>
<div id="main" style="width: 400px; height: 600px"></div>
</div>
</template>
<script module="bmap" lang="renderjs">
import 'echarts/map/js/china'; // 引入插件自带地图js-中国地图数据
import {
chartData
} from '@/utils/map.js' //各省份分布高校数量
require("echarts/extension/bmap/bmap");
export default {
mounted() {
this.initMap()
},
methods: {
async initMap() {
var echarts = require("echarts");
var chartDom = document.getElementById("main");
var myChart = echarts.init(chartDom);
var option;
chartData.sort(function(a, b) {
return a.value - b.value;
});
const mapOption = {
title: {
text: "全国各地分布高校数量",
subtext: 'data from China Education Online',
sublink: 'https://www.gaokao.cn/school/search',
left: 'center',
textStyle: {
color: '#fff'
}
},
tooltip: {
formatter: function(e) {
var name = e.name ? e.name : '获取中';
var value = e.value ? e.value : '暂无数据'
return name + "：" + value;
}
},
visualMap: {
min: 0,
max: 180,
left: '20%',
bottom: 20,
text: ['高', '低'],
calculable: true,
textStyle: {
color: '#fff'
},
inRange: {
color: ['#C6FFDD', '#FBD786', '#f74649', 'rgb(194,53,49)']
}
},
geo: {
map: 'china',
roam: false,
zoom: 1.1,
label: {
emphasis: {
show: false
}
},
itemStyle: {
borderColor: 'transparent',
areaColor: 'transparent'
}
},
series: [{
type: 'map',
map: 'china',
zoom: 1.1,
itemStyle: {
borderWidth: 1,
borderColor: 'rgba(255,255,255,.3)',
emphasis: {
borderColor: '#ee9ca7',
shadowColor: '#ffdde1',
shadowBlur: 15,
label: {
color: '#000000'
},
areaColor: {
x: 0,
y: 0,
x2: 0,
y2: 1,
colorStops: [{
offset: 0,
color: '#fff9a1'
}, {
offset: 1,
color: '#f2f27f'
}],
},
}
},
data: chartData
}]
};
const barOption = {
xAxis: {
type: 'value'
},
yAxis: {
type: 'category',
axisLabel: {
rotate: 30
},
data: chartData.map(function(item) {
return item.name;
})
},
animationDurationUpdate: 1000,
series: {
type: 'bar',
id: 'population',
data: chartData.map(function(item) {
return item.value;
}),
universalTransition: true
}
}
let currentOption = mapOption;
myChart.setOption(mapOption);
setInterval(function() {
currentOption = currentOption === mapOption ? barOption : mapOption;
myChart.setOption(currentOption, true);
}, 10000);
option && myChart.setOption(option);
},
}
};
</script>
<style>
</style>
效果展示
【本来这里是一个中国地图，但是违规了。。。类似于下图】
方案三：中国地图和各省市地图下钻
实现思路
1、实现思路：
展示一个完整的中国地图，点击某个省市，会实现地图切换，展示该省市完整的地图。（两个页面，一个页面展示中国地图，一个页面展示某省份的地图）2、耗时点：
上文我们提到过，在uni-app的app和h5端渲染echarts图层，需要基于renderjs来编写代码。因而，就出现了最让人头大的问题：页面传参
先说一下我用过的几种方法：
a. 路由传参： 测了好久，一直以为是参数取错了，最后才发现是参数根本没传过来，在网上搜了好久也没有相关的解答，后来想到可能是randerjs渲染的问题，就去仔细看了官方文档，果不其然——APP 端可以使用 dom、bom API，不可直接访问逻辑层数据，不可以使用 uni 相关接口（如：uni.request）。
b. vuex传参： mapMutations和mapActions在APP端renderjs内使用，还会报错：
TypeError: Cannot read property ‘dispatch’ of undefined. UNIAPP renderjs vuex共享复杂对象，APP端navigateTo后获取不到前一个页面对数据的更新，H5正常
c. BroadcastChannel通信： 在vuex后附的文章评论区中看到了一条建议使用BroadcastChannel通信，我还特意去研究了一下BroadcastChannel，按照MDN的要求去写，很遗憾应用失败，无法进行通信。可能是我研究得不够透彻，在网上找了找，也没有在uniapp中使用BroadcastChannel的相关文章，uniapp的官网上也没搜到说需要安装相关的包。
d. renderjs传值： 这个逻辑是什么呢，我大概看懂了一点，就是在randerjs上可以通过ownerVm.callMethod('逻辑层的方法名', 参数) 来触发逻辑层中的方法，而且也逻辑层也能通过监测数据的变化动态改变randerjs去渲染视图。那么基于这种方法，就可以使用路由传参和vuex传值了。
页面1：
<template>
<div>
<div @click="echarts.emitData" id="main" style="width: 350px; height: 500px;margin: 0 auto;"></div>
</div>
</template>
<script>
import {
mapMutations
} from 'vuex';
export default {
methods: {
...mapMutations(['saveProvinceJson', 'saveProvinceName']),
//逻辑层的方法
receiveRenderData(val) {
//vuex传参
this.saveProvinceJson(val.pename)
this.saveProvinceName(val.pname)
//路由传参
// uni.navigateTo({
// url: '/subpkg/message_notification/provinceData?pname=' + val.pname + '&pename=' + val.pename
// })
}
}
}
</script>
<script module="echarts" lang="renderjs">
import 'echarts/map/js/china'; // 引入插件自带地图js-中国地图数据
import {
chartData
} from '@/utils/map.js'
require("echarts/extension/bmap/bmap");
export default {
data() {
return {
pname: '',
pename: ''
}
},
mounted() {
this.initMap()
},
methods: {
async initMap() {
var echarts = require("echarts");
var chartDom = document.getElementById("main");
var myChart = echarts.init(chartDom);
var option;
....
//这里需要注意myChart方法内部的this指向问题
let that = this
myChart.on("click", function(params) {
if (!params.data.ename) {
alert('暂无' + params.name + '地图数据');
return;
}
//可以通过 this.$ownerInstance 获取当前组件的 ComponentDescriptor 实例，那么也就能借此来向外传递参数了。
that.$ownerInstance.$vm.pname = params.name
that.$ownerInstance.$vm.pename = params.data.ename
});
option && myChart.setOption(option);
},
// 调用逻辑层的方法
emitData(e, ownerVm) {
ownerVm.callMethod('receiveRenderData', {
pname: this.pname,
pename: this.pename
})
}
}
};
</script>
<style>
</style>
页面二：
<template>
<div>
<div :provinceJson="provinceJson" :change:provinceJson="echarts.receiveMsg" id="main"
style="width: 350px; height: 500px;margin: 0 auto;"></div>
</div>
</template>
<script>
export default {
data() {
return {
provinceJson: ''
};
},
//获取路由传递过来的参数
// onLoad(query) {
// console.log(222);
// console.log(query.pname);
// this.provinceJson = query.pename
// this.provinceName = query.pname
// },
mounted() {
this.changeMsg()
},
methods: {
// 监测数据发生变化时，触发renderjs
changeMsg() {
this.provinceJson = this.$store.state.map.provinceJson
},
}
}
</script>
<script module="echarts" lang="renderjs">
import 'echarts/map/js/province/anhui'; // 引入插件自带地图js-中国地图数据
import {
anhuiData
} from '@/utils/map.js'
require("echarts/extension/bmap/bmap");
export default {
data() {
return {
provinceJson: "",
provinceName: ""
}
},
methods: {
// 接收逻辑层传递过来的数据
receiveMsg(newValue, oldValue, ownerVm, vm) {
console.log('newValue', newValue)
console.log('oldValue', oldValue)
console.log('ownerVm', ownerVm)
console.log('vm', vm)
this.provinceJson = ownerVm.$vm.provinceJson
this.provinceName = ownerVm.$vm.provinceName
},
}
};
</script>
<style>
</style>
e. localStorage.setItem数据存本地： 这是目前测试过，最简单好用的，而且只是存个’henan’、'河南’的字段，也不用考虑太多问题。
完整使用代码
页面1：
<template>
<div>
<div id="main" style="width: 350px; height: 500px;margin: 0 auto;"></div>
</div>
</template>
<script module="echarts" lang="renderjs">
import 'echarts/map/js/china'; // 引入插件自带地图js-中国地图数据
import {
chartData
} from '@/utils/map.js'
require("echarts/extension/bmap/bmap");
export default {
mounted() {
this.initMap()
},
methods: {
async initMap() {
var echarts = require("echarts");
var chartDom = document.getElementById("main");
var myChart = echarts.init(chartDom);
var option;
chartData.sort(function(a, b) {
return a.value - b.value;
});
const mapOption = {
nodeClick: 'link',
title: {
text: '全国各地分布高校数量',
subtext: 'data from China Education Online',
left: 'center',
textStyle: {
color: '#000'
}
},
tooltip: {
formatter: function(e) {
var name = e.name ? e.name : '获取中';
var value = e.value ? e.value : '暂无数据'
return name + "：" + value;
}
},
visualMap: {
min: 0,
max: 180,
left: '20%',
bottom: 20,
text: ['高', '低'],
calculable: true,
textStyle: {
color: '#fff'
},
inRange: {
color: ['#C6FFDD', '#FBD786', '#f74649', 'rgb(194,53,49)']
}
},
geo: {
map: 'china',
roam: false,
zoom: 1.1,
label: {
emphasis: {
show: false
}
},
itemStyle: {
borderColor: 'transparent',
areaColor: 'transparent'
}
},
series: [{
type: 'map',
map: 'china',
zoom: 1.1,
itemStyle: {
borderWidth: 1,
borderColor: 'rgba(255,255,255,.3)',
emphasis: {
borderColor: '#ee9ca7',
shadowColor: '#ffdde1',
shadowBlur: 15,
label: {
color: '#000000'
},
areaColor: {
x: 0,
y: 0,
x2: 0,
y2: 1,
colorStops: [{
offset: 0,
color: '#fff9a1'
}, {
offset: 1,
color: '#f2f27f'
}],
},
}
},
data: chartData
}]
};
const barOption = {
title: {
text: "全国各地分布高校数量",
subtext: 'data from China Education Online',
left: 'center',
textStyle: {
color: '#000'
}
},
xAxis: {
type: 'value'
},
yAxis: {
type: 'category',
axisLabel: {
rotate: 30
},
data: chartData.map(function(item) {
return item.name;
})
},
tooltip: {
formatter: function(e) {
var name = e.name ? e.name : '获取中';
var value = e.value ? e.value : '暂无数据'
return name + "：" + value;
}
},
animationDurationUpdate: 1000,
series: {
type: 'bar',
id: 'population',
data: chartData.map(function(item) {
return item.value;
}),
universalTransition: true
}
}
let currentOption = mapOption;
myChart.setOption(mapOption);
myChart.on("click", function(params) {
if (!params.data.ename) {
alert('暂无' + params.name + '地图数据');
return;
}
localStorage.setItem("provinceJson", params.data.ename)
localStorage.setItem("provinceName", params.name)
uni.navigateTo({
url: '/subpkg/message_notification/provinceData'
})
});
setInterval(function() {
currentOption = currentOption === mapOption ? barOption : mapOption;
myChart.setOption(currentOption, true);
}, 10000);
option && myChart.setOption(option);
},
}
};
</script>
<style>
</style>
页面2：
<template>
<div>
<div id="main" style="width: 350px; height: 500px;margin: 0 auto;"></div>
</div>
</template>
<script module="echarts" lang="renderjs">
import {
anhuiData
} from '@/utils/map.js'
require("echarts/extension/bmap/bmap");
export default {
data() {
return {
provinceJson: localStorage.getItem('provinceJson') || '',
provinceName: localStorage.getItem('provinceName') || ''
}
},
mounted() {
this.addJs()
this.initMap()
},
methods: {
async addJs() {
if (this.provinceJson) {
await require('echarts/map/js/province/' + this.provinceJson)
}
},
async initMap() {
console.log(this.provinceJson, this.provinceName);
var echarts = require("echarts");
var chartDom = document.getElementById("main");
var myChart = echarts.init(chartDom);
var option;
anhuiData.sort(function(a, b) {
return a.value - b.value;
});
const mapOption = {
title: {
text: this.provinceName + '各地分布高校数量',
subtext: 'data from China Education Online',
left: 'center',
textStyle: {
color: '#000'
}
},
tooltip: {
formatter: function(e) {
var name = e.name ? e.name : '获取中';
var value = e.value ? e.value : '暂无数据'
return name + "：" + value;
}
},
visualMap: {
min: 0,
max: 10,
left: 'left',
bottom: 20,
text: ['高', '低'],
calculable: true,
textStyle: {
color: '#fff'
},
inRange: {
color: ['#C6FFDD', '#FBD786', '#f74649', 'rgb(194,53,49)']
}
},
geo: {
map: this.provinceName,
roam: false,
zoom: 1.1,
label: {
emphasis: {
show: false
}
},
itemStyle: {
borderColor: 'transparent',
areaColor: 'transparent'
}
},
series: [{
top: 100,
type: 'map',
map: this.provinceName,
zoom: 1.1,
itemStyle: {
borderWidth: 1,
borderColor: 'rgba(255,255,255,.3)',
emphasis: {
borderColor: '#ee9ca7',
shadowColor: '#ffdde1',
shadowBlur: 15,
label: {
color: '#000000'
},
areaColor: {
x: 0,
y: 0,
x2: 0,
y2: 1,
colorStops: [{
offset: 0,
color: '#fff9a1'
}, {
offset: 1,
color: '#f2f27f'
}],
},
}
},
data: anhuiData
}]
};
const barOption = {
title: {
text: "全国各地分布高校数量",
subtext: 'data from China Education Online',
left: 'center',
textStyle: {
color: '#000'
}
},
xAxis: {
type: 'value'
},
yAxis: {
type: 'category',
axisLabel: {
rotate: 30
},
data: anhuiData.map(function(item) {
return item.name;
})
},
tooltip: {
formatter: function(e) {
var name = e.name ? e.name : '获取中';
var value = e.value ? e.value : '暂无数据'
return name + "：" + value;
}
},
animationDurationUpdate: 1000,
series: {
type: 'bar',
id: 'population',
data: anhuiData.map(function(item) {
return item.value;
}),
universalTransition: true
}
}
let currentOption = mapOption;
myChart.setOption(mapOption);
// setInterval(function() {
// currentOption = currentOption === mapOption ? barOption : mapOption;
// myChart.setOption(currentOption, true);
// }, 10000);
option && myChart.setOption(option);
},
}
};
</script>
<style>
</style>
OK，至此，初步应用成功。
如有误，请指正！
