- 介绍:由于我司在项目中使用到了Echarts,所以我开了Echarts的相关栏目来分享在使用上的经验。这是本栏目的第一篇文章,需要Echarts相关基础,之后会介绍Echarts的基础,需要的朋友可以关注一下。废话不多说,先看看例子:
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先到阿里云的地理小工具获取对应的地图json数据并保存到本地,通过registerMap方法加载。地理小工具
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主要代码:
<template>
<!-- 中心地图 -->
<div ref="gemEchart" style="width: 100%; height: 100%" />
</template>
<script>
import * as echarts from 'echarts'
import quanZhouJSON from '@/utils/quanzhou.json' // 地图json
import * as echartsOption from '../echartsOption'
export default {
data: () => ({
myEcharts: null,
myData: []
}),
mounted() {
this.init()
// 适应屏幕大小
window.addEventListener('resize', () => {
if (this.myEcharts && this.myEcharts.resize) {
this.myEcharts.resize()
}
})
// 获取数据
this.getData()
},
methods: {
init() {
this.myEcharts = echarts.init(this.$refs['gemEchart'])
echarts.registerMap('泉州', quanZhouJSON)
const option = {
geo: {
map: '泉州',
label: {
show: true,
// 自定义label
formatter: (params) => {
const find = this.myData.find(
(item) => item.name === params.name
)
if (find) {
return `{name|${find.name}}\n{data|${find.value * 100}%}`
} else {
return `{name|${params.name}}`
}
},
// 富文本
rich: {
name: {
height: 24,
color: 'white',
padding: [-80, 0, 0, 0],
fontSize: 18
},
data: {
height: 24,
color: 'white',
padding: [-40, 0, 0, 0],
fontSize: 18
}
}
},
// 地图区域的样式设置
itemStyle: {
areaColor: 'gray' // 区域颜色
},
top: 10,
bottom: 10,
left: 20,
right: 20
},
series: [
{
type: 'map',
map: '泉州',
// 默认情况下,map series 会自己生成内部专用的 geo 组件。用 geoIndex 指定一个 geo 组件,
// 这样的话,map 和 其他 series(例如散点图)就可以共享一个 geo 组件了。
// 当设定了 geoIndex 后,series-map.map 属性,以及 series-map.itemStyle 等样式配置不再起作用,
// 而是采用 geo 中的相应属性。
geoIndex: 0,
data: []
},
// 用于地图中的图标
{
type: 'scatter',
coordinateSystem: 'geo',
data: echartsOption.icon,
symbol: echartsOption.img,
symbolSize: [50, 50],
symbolOffset: [0, 8]
}
],
visualMap: {
// 设置地图范围值显示的颜色
selectedMode: false, // 不能选择
hoverLink: false, // 取消鼠标移入效果
textStyle: {
color: '#fff'
},
align: 'left',
itemGap: 20,
pieces: [
{
gt: 0.9,
lte: 1,
label: '可靠性较高(90-100)',
color: '#7FB6FF'
},
{
gte: 0.8,
lte: 0.9,
label: '可靠性中等(80-90)',
color: '#5993FF'
},
{
lt: 0.8,
label: '可靠性较差(80以下)',
color: '#2458F1'
}
],
right: 20,
bottom: 20
}
}
this.myEcharts.setOption(option)
},
getData() {
this.myData = quanZhouJSON.features.map((item) => {
const {
name
} = item.properties
return {
name,
value: (Math.random()).toFixed(2) // 等数据接入
}
})
this.myEcharts.setOption({
series: [
{
type: 'map',
data: this.myData
}
]
})
}
}
}
</script>
- echartsOption:地图的相关配置
// 中间地图的一些配置
import quanZhouJSON from '@/utils/quanzhou.json'
// 获取图标的数据
export const icon = quanZhouJSON.features.map((item) => {
const {
name,
centroid
} = item.properties
return {
name,
value: centroid
}
})
// 图标 base64
export const img = `image://data:image/png;base64,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`