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vue3封装echarts
1. 封装hooks传入dom元素返回echart实例
import * as echarts from 'echarts'
export default function (el: HTMLElement) {
// 初始化echart实例
const echartInstance = echarts.init(el)
// 设置选项
const setOptions = (options: echarts.EChartsOption) => {
echartInstance.setOption(options)
}
// echart重新渲染
const updateSize = () => {
echartInstance.resize()
}
// 浏览器窗口变化重新渲染，宽度设为非固定值可达到响应式效果
window.addEventListener('resize', () => {
echartInstance.resize()
})
return {
echartInstance,
setOptions,
updateSize
}
}
2. 编写基类组件渲染echart实例
由使用组件者通过props传递option，echarts宽高，并设置默认值。当组件挂载到页面时渲染echart到dom元素中。
<template>
<div class="base-echart">
<div ref="echartDivRef" :style="{ width: width, height: height }"></div>
</div>
</template>
<script lang="ts" setup>
import { ref, onMounted, defineProps, withDefaults, watchEffect } from 'vue'
import type{ EChartsOption } from 'echarts'
import useEchart from '../hooks/useEchart'
// 定义props
const props = withDefaults(
defineProps<{
options: EChartsOption
width?: string
height?: string
}>(),
{
width: '100%',
height: '360px'
}
)
const echartDivRef = ref<HTMLElement>()
onMounted(() => {
const { setOptions } = useEchart(echartDivRef.value!)
// option的data数据设为响应式，当data改变这里会重新设置option，即重新渲染
watchEffect(() => {
setOptions(props.options)
})
})
</script>
<style scoped></style>3.饼图的封装
引入基类组件，编写饼图组件，此组件需要调用者通过props传入数据进行渲染
<template>
<div class="pie-echart">
<base-echart :options="options"></base-echart>
</div>
</template>
<script setup lang="ts">
import { defineProps, computed } from 'vue'
import BaseEchart from '@/baseui/echart'
interface IDataType {
name: string
value: any
}
const props = defineProps<{
pieData: IDataType[]
}>()
const options = computed<echarts.EChartsOption>(() => {
return {
tooltip: {
trigger: 'item'
},
legend: {
orient: 'horizontal',
left: 'left'
},
series: [
{
name: '分类数据',
type: 'pie',
radius: '50%',
data: props.pieData,
emphasis: {
itemStyle: {
shadowBlur: 10,
shadowOffsetX: 0,
shadowColor: 'rgba(0, 0, 0, 0.5)'
}
}
}
]
}
})
</script>
<style scoped></style>4.饼图渲染
<template>
<div class="dashboard">
<pie-echart :pieData="categoryGoodsCount"></pie-echart>
</div>
</template>
<script lang="ts" setup>
import { ref } from 'vue'
import { useDashboardStore } from '@/stores/main/analysis/dashboard'
import { PieEchart } from '@/components/page-echarts'
// 获取数据
const categoryGoodsCount = ref(
[ { "name": "上衣", "value": 14 },
{ "name": "裤子", "value": 19 },
{ "name": "鞋子", "value": 19 },
{ "name": "厨具", "value": 18 },
{ "name": "家具", "value": 18 },
{ "name": "床上用品", "value": 19 },
{ "name": "女装", "value": 35 } ]
)
/*const categoryGoodsCount = computed(() => {
return store.categoryGoodsCount.map((item: any) => {
return { name: item.name, value: item.goodsCount }
})
})*/
</script>
<style scoped>
.content-row {
margin-top: 20px;
}
</style>
5.其他图的封装
折线图
<template>
<div class="line-echart">
<base-echart :options="options"></base-echart>
</div>
</template>
<script setup lang="ts">
import { computed, defineProps, withDefaults } from 'vue'
import BaseEchart from '@/baseui/echart'
const props = withDefaults(
defineProps<{
title?: string
xLabels: string[]
values: any[]
}>(),
{
title: ''
}
)
const options = computed<echarts.EChartsOption>(() => {
return {
title: {
text: props.title
},
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'cross',
label: {
backgroundColor: '#6a7985'
}
}
},
legend: {},
toolbox: {
feature: {
saveAsImage: {}
}
},
grid: {
left: '3%',
right: '4%',
bottom: '3%',
containLabel: true
},
xAxis: [
{
type: 'category',
boundaryGap: false,
data: props.xLabels
}
],
yAxis: [
{
type: 'value'
}
],
series: [
{
name: '分别销量',
type: 'line',
stack: '总量',
areaStyle: {},
emphasis: {
focus: 'series'
},
data: props.values
}
]
}
})
</script>
<style scoped></style>
数据：
{ "xLabels": [ "上衣", "裤子", "鞋子", "厨具", "家具", "床上用品", "女装" ], "values": [ 49749, 84754, 58283, 57354, 49002, 98579, 112268 ] }
柱状图
<template>
<div class="pie-echart">
<base-echart :options="options"></base-echart>
</div>
</template>
<script setup lang="ts">
import { defineProps, computed } from 'vue'
import BaseEchart from '@/baseui/echart'
interface IDataType {
name: string
value: any
}
const props = defineProps<{
pieData: IDataType[]
}>()
const options = computed<echarts.EChartsOption>(() => {
return {
tooltip: {
trigger: 'item'
},
legend: {
orient: 'horizontal',
left: 'left'
},
series: [
{
name: '分类数据',
type: 'pie',
radius: '50%',
data: props.pieData,
emphasis: {
itemStyle: {
shadowBlur: 10,
shadowOffsetX: 0,
shadowColor: 'rgba(0, 0, 0, 0.5)'
}
}
}
]
}
})
</script>
<style scoped></style>
数据
{ "xLabels": [ "上衣", "裤子", "鞋子", "厨具", "家具", "床上用品", "女装" ], "values": [ 6091, 4939, 19647, 13906, 15425, 7307, 19911 ] }
玫瑰图
<template>
<div class="rose-echart">
<base-echart :options="options"></base-echart>
</div>
</template>
<script setup lang="ts">
import { computed, defineProps } from 'vue'
import BaseEchart from '@/baseui/echart'
interface IDataType {
name: string
value: any
}
const props = defineProps<{
roseData: IDataType[]
}>()
const options = computed<echarts.EChartsOption>(() => {
return {
// legend: {
// top: 'bottom'
// },
toolbox: {
show: true,
feature: {
mark: { show: true },
dataView: { show: true, readOnly: false },
restore: { show: true },
saveAsImage: { show: true }
}
},
series: [
{
name: '类别数据',
type: 'pie',
radius: [10, 100],
center: ['50%', '50%'],
roseType: 'area',
itemStyle: {
borderRadius: 8
},
data: props.roseData
}
]
}
})
</script>
<style scoped></style>
数据
[ { "name": "上衣", "value": 14 }, { "name": "裤子", "value": 19 }, { "name": "鞋子", "value": 19 }, { "name": "厨具", "value": 18 }, { "name": "家具", "value": 18 }, { "name": "床上用品", "value": 19 }, { "name": "女装", "value": 35 } ]
6. 地图
修改1.中的hooks
地图数据:china.json
import * as echarts from 'echarts'
// 中国地图数据
+ import chinaMapData from '../data/china.json'
// 注册中国地图
+ echarts.registerMap('china', chinaMapData as unknown as any)封装地图
组件传入propsmapData：[ { "name": "上海", "value": 62239 }...]
<template>
<div class="bar-echart">
<base-echart :options="options"></base-echart>
</div>
</template>
<script setup lang="ts">
import { computed, defineProps, withDefaults } from 'vue'
import BaseEchart from '@/baseui/echart'
interface IDataType {
name: string
value: any
}
// 转换函数
import { convertData } from '../utils/convert-data'
const props = withDefaults(
defineProps<{
title?: string
mapData: IDataType[]
}>(),
{
title: ''
}
)
const options = computed<echarts.EChartsOption>(() => {
return {
backgroundColor: '#fff',
title: {
text: '全国销量统计',
left: 'center',
textStyle: {
color: '#fff'
}
},
tooltip: {
trigger: 'item',
formatter: function (params: any) {
return params.name + ' : ' + params.value[2]
}
},
visualMap: {
min: 0,
max: 60000,
left: 20,
bottom: 20,
calculable: true,
text: ['高', '低'],
inRange: {
color: ['rgb(70, 240, 252)', 'rgb(250, 220, 46)', 'rgb(245, 38, 186)']
},
textStyle: {
color: '#fff'
}
},
geo: {
map: 'china',
roam: 'scale',
emphasis: {
areaColor: '#f4cccc',
borderColor: 'rgb(9, 54, 95)',
itemStyle: {
areaColor: '#f4cccc'
}
}
},
series: [
{
name: '销量',
type: 'scatter',
coordinateSystem: 'geo',
// mapData数据为[{ "name": "上海", "value": 62239 }],需要用convertData转为
// [{name: "上海" value: [121.48, 31.22, 62239]}]，关联经纬度
data: convertData(props.mapData),
symbolSize: 12,
emphasis: {
itemStyle: {
borderColor: '#fff',
borderWidth: 1
}
}
},
{
type: 'map',
map: 'china',
geoIndex: 0,
aspectScale: 0.75,
tooltip: {
show: false
}
}
]
}
})
</script>
<style scoped></style>
数据: name：城市，value：销量
[ { "name": "上海", "value": 62239 }, { "name": "南京", "value": 55683 }, { "name": "郑州", "value": 53716 }, { "name": "广州", "value": 6364 }, { "name": "西安", "value": 64976 }, { "name": "长沙", "value": 4142 }, { "name": "昆明", "value": 9524 }, { "name": "武汉", "value": 28212 }, { "name": "重庆", "value": 60777 }, { "name": "沈阳", "value": 20900 }, { "name": "宁波", "value": 66584 }, { "name": "苏州", "value": 1136 }, { "name": "青岛", "value": 9021 }, { "name": "成都", "value": 23378 }, { "name": "北京", "value": 6107 }, { "name": "天津", "value": 5096 }, { "name": "深圳", "value": 12480 }, { "name": "杭州", "value": 19654 } ]
转换函数convertData
传入[{ "name": "上海", "value": 62239 }]转为[{name: "上海" value: [121.48, 31.22, 62239]}]，关联经纬度
import { coordinateData } from './coordinate-data'
export const convertData = function (data: any) {
const res = []
for (let i = 0; i < data.length; i++) {
const geoCoord = coordinateData[data[i].name]
if (geoCoord) {
res.push({
name: data[i].name,
value: geoCoord.concat(data[i].value)
})
}
}
console.log(res);
return res
}coordinate-data：城市数据
export const coordinateData: any = {
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]
}
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