mpvue——引入echarts图表

安装

mpvue-echarts的github地址

https://github.com/F-loat/mpvue-echarts

$ cnpm install mpvue-echarts
$ cnpm install echarts 

DEMO

复制粘贴后即可看到效果

<!--
 * @Author: wangyang
 * @LastEditors: wangyang
 * @Description: file content
 * @Date: -- ::
 * @LastEditTime: -- ::
 -->
<template>
  <div class="wrap">
    <mpvue-echarts :echarts="echarts" :onInit="ecBarInit" canvasId="bar" />
    <mpvue-echarts :echarts="echarts" :onInit="ecScatterInit" canvasId="scatter" />
  </div>
</template>

<script>
import * as echarts from 'echarts/dist/echarts.min'
import mpvueEcharts from 'mpvue-echarts'
let barChart, scatterChart
function getBarOption () {
  return {
    color: ['#37a2da', '#32c5e9', '#67e0e3'],
    tooltip: {
      trigger: 'axis',
      axisPointer: { // 坐标轴指示器，坐标轴触发有效
        type: 'line' // 默认为直线，可选为：'line' | 'shadow'
      }
    },
    legend: {
      data: ['热度', '正面', '负面']
    },
    grid: {
      left: ,
      right: ,
      bottom: ,
      top: ,
      containLabel: true
    },
    xAxis: [
      {
        type: 'value',
        axisLine: {
          lineStyle: {
            color: '#999'
          }
        },
        axisLabel: {
          color: '#666'
        }
      }
    ],
    yAxis: [
      {
        type: 'category',
        axisTick: { show: false },
        data: ['汽车之家', '今日头条', '百度贴吧', '一点资讯', '微信', '微博', '知乎'],
        axisLine: {
          lineStyle: {
            color: '#999'
          }
        },
        axisLabel: {
          color: '#666'
        }
      }
    ],
    series: [
      {
        name: '热度',
        type: 'bar',
        label: {
          normal: {
            show: true,
            position: 'inside'
          }
        },
        data: [, , , , , , ]
      },
      {
        name: '正面',
        type: 'bar',
        stack: '总量',
        label: {
          normal: {
            show: true
          }
        },
        data: [, , , , , , ]
      },
      {
        name: '负面',
        type: 'bar',
        stack: '总量',
        label: {
          normal: {
            show: true,
            position: 'left'
          }
        },
        data: [-, -, -, -, -, -, -]
      }
    ]
  }
}
function getScatterOption () {
  var data = []
  var data2 = []
  for (var i = ; i < ; i++) {
    data.push(
      [
        Math.round(Math.random() * ),
        Math.round(Math.random() * ),
        Math.round(Math.random() * )
      ]
    )
    data2.push(
      [
        Math.round(Math.random() * ),
        Math.round(Math.random() * ),
        Math.round(Math.random() * )
      ]
    )
  }
  var axisCommon = {
    axisLabel: {
      textStyle: {
        color: '#C8C8C8'
      }
    },
    axisTick: {
      lineStyle: {
        color: '#fff'
      }
    },
    axisLine: {
      lineStyle: {
        color: '#C8C8C8'
      }
    },
    splitLine: {
      lineStyle: {
        color: '#C8C8C8',
        type: 'solid'
      }
    }
  }
  return {
    color: ['#FF7070', '#60B6E3'],
    backgroundColor: '#eee',
    xAxis: axisCommon,
    yAxis: axisCommon,
    legend: {
      data: ['aaaa', 'bbbb']
    },
    visualMap: {
      show: false,
      max: ,
      inRange: {
        symbolSize: [, ]
      }
    },
    series: [{
      type: 'scatter',
      name: 'aaaa',
      data: data
    },
    {
      name: 'bbbb',
      type: 'scatter',
      data: data2
    }
    ],
    animationDelay: function (idx) {
      return idx *
    },
    animationEasing: 'elasticOut'
  }
}
export default {
  data () {
    return {
      echarts,
      ecBarInit: function (canvas, width, height) {
        barChart = echarts.init(canvas, null, {
          width: width,
          height: height
        })
        canvas.setChart(barChart)
        barChart.setOption(getBarOption())
        return barChart
      },
      ecScatterInit: function (canvas, width, height) {
        scatterChart = echarts.init(canvas, null, {
          width: width,
          height: height
        })
        canvas.setChart(scatterChart)
        scatterChart.setOption(getScatterOption())
        return scatterChart
      }
    }
  },
  components: {
    mpvueEcharts
  },
  onShareAppMessage () {}
}
</script>

<style scoped>
.wrap {
  width: %;
  height: 400px;
}
</style>

效果图

折线图

<template>
  <div class="container">
    <div class="wrap">
      <mpvue-echarts :echarts="echarts" :onInit="onInit" />
    </div>
  </div>
</template>

<script>
import * as echarts from 'echarts/dist/echarts.simple.min'
import mpvueEcharts from 'mpvue-echarts'
function initChart (canvas, width, height) {
  const chart = echarts.init(canvas, null, {
    width: width,
    height: height
  })
  canvas.setChart(chart)
  var option = {
    backgroundColor: '#fff',
    color: ['#37A2DA', '#67E0E3'],

    legend: {
      data: ['A', 'B']
    },
    grid: {
      containLabel: true
    },
    xAxis: {
      type: 'category',
      data: ['周一', '周二', '周三', '周四', '周五', '周六', '周日']
    },
    yAxis: {
      x: 'center',
      type: 'value',
      splitLine: {
        lineStyle: {
          type: 'dashed'
        }
      }
    },
    series: [{
      name: 'A',
      type: 'line',
      smooth: true,
      data: [18, 36, 65, 30, 78, 40, 33]
    }, {
      name: 'B',
      type: 'line',
      smooth: true,
      data: [12, 50, 51, 35, 70, 30, 20]
    }]
  }
  chart.setOption(option)
  return chart
}
export default {
  data () {
    return {
      echarts,
      onInit: initChart
    }
  },
  components: {
    mpvueEcharts
  },
  onShareAppMessage () {}
}
</script>

<style scoped>
.wrap {
  width: 100%;
  height: 300px;
}
</style>

mpvue中引入使用echarts就是这么简单且github的仓库中大部分的demo都可以直接修改使用比较方便吧,主要是之前使用过echarts所以更改起来也非常的舒服!