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]
}