• 【重点突破】—— Echarts图表的介绍和使用


    前言:百度Echarts是一个基于Canvas的纯Javascript图表库,提供直观、生动、可交互、可个性化定制的数据可视化图表。官网地址:http://echarts.baidu.com/index.html


     一、Echarts基础

    1. echarts->echartTheme.js

      export default {
          "color": [
              "#f9c700",
              "#ff5400",
              "#6699cc",
              "#9cb3c5",
              "#e0e6ec",
              "#666666",
              "#787464",
              "#cc7e63",
              "#724e58",
              "#4b565b"
          ],
          "backgroundColor": "#ffffff",
          "textStyle": {},
          "title": {
              "textStyle": {
                  "color": "#cccccc"
              },
              "subtextStyle": {
                  "color": "#cccccc"
              }
          },
          "line": {
              "itemStyle": {
                  "normal": {
                      "borderWidth": 1
                  }
              },
              "lineStyle": {
                  "normal": {
                      "width": 2
                  }
              },
              "symbolSize": "10",
              "symbol": "emptyCircle",
              "smooth": false
          },
          "pie": {
              "itemStyle": {
                  "normal": {
                      "borderWidth": 0,
                      "borderColor": "#ccc"
                  },
                  "emphasis": {
                      "borderWidth": 0,
                      "borderColor": "#ccc"
                  }
              }
          },
          "categoryAxis": {
              "axisLine": {
                  "show": true,
                  "lineStyle": {
                      "color": "#f1f3f5"
                  }
              },
              "axisTick": {
                  "show": true,
                  "lineStyle": {
                      "color": "#f1f3f5"
                  }
              },
              "axisLabel": {
                  "show": true,
                  "textStyle": {
                      "color": "#999999",
                      "fontSize": "14"
                  }
              },
              "splitLine": {
                  "show": true,
                  "lineStyle": {
                      "color": [
                          "#f1f3f5"
                      ]
                  }
              },
              "splitArea": {
                  "show": false,
                  "areaStyle": {
                      "color": [
                          "rgba(250,250,250,0.3)",
                          "rgba(200,200,200,0.3)"
                      ]
                  }
              }
          },
          "valueAxis": {
              "axisLine": {
                  "show": true,
                  "lineStyle": {
                      "color": "#f1f3f5"
                  }
              },
              "axisTick": {
                  "show": true,
                  "lineStyle": {
                      "color": "#f1f3f5"
                  }
              },
              "axisLabel": {
                  "show": true,
                  "textStyle": {
                      "color": "#999999",
                      "fontSize": "14"
                  }
              },
              "splitLine": {
                  "show": true,
                  "lineStyle": {
                      "color": [
                          "#f1f3f5"
                      ]
                  }
              },
              "splitArea": {
                  "show": false,
                  "areaStyle": {
                      "color": [
                          "rgba(250,250,250,0.3)",
                          "rgba(200,200,200,0.3)"
                      ]
                  }
              }
          },
          "toolbox": {
              "iconStyle": {
                  "normal": {
                      "borderColor": "#999999"
                  },
                  "emphasis": {
                      "borderColor": "#666666"
                  }
              }
          },
          "legend": {
              "textStyle": {
                  "color": "#333333"
              }
          },
          "tooltip": {
              "axisPointer": {
                  "lineStyle": {
                      "color": "#cccccc",
                      "width": 1
                  },
                  "crossStyle": {
                      "color": "#cccccc",
                      "width": 1
                  }
              }
          },
          "timeline": {
              "lineStyle": {
                  "color": "#293c55",
                  "width": 1
              },
              "itemStyle": {
                  "normal": {
                      "color": "#293c55",
                      "borderWidth": 1
                  },
                  "emphasis": {
                      "color": "#a9334c"
                  }
              },
              "controlStyle": {
                  "normal": {
                      "color": "#293c55",
                      "borderColor": "#293c55",
                      "borderWidth": 0.5
                  },
                  "emphasis": {
                      "color": "#293c55",
                      "borderColor": "#293c55",
                      "borderWidth": 0.5
                  }
              },
              "checkpointStyle": {
                  "color": "#e43c59",
                  "borderColor": "rgba(194,53,49,0.5)"
              },
              "label": {
                  "normal": {
                      "textStyle": {
                          "color": "#293c55"
                      }
                  },
                  "emphasis": {
                      "textStyle": {
                          "color": "#293c55"
                      }
                  }
              }
          },
          "markPoint": {
              "label": {
                  "normal": {
                      "textStyle": {
                          "color": "#ffffff"
                      }
                  },
                  "emphasis": {
                      "textStyle": {
                          "color": "#ffffff"
                      }
                  }
              }
          }
      }
    2. echarts->themeLight.js

      var colorPalette = [
          '#C1232B',
          '#27727B',
          '#FCCE10',
          '#E87C25',
          '#B5C334',
          '#FE8463',
          '#9BCA63',
          '#FAD860',
          '#F3A43B',
          '#60C0DD',
          '#D7504B',
          '#C6E579',
          '#F4E001',
          '#F0805A',
          '#26C0C0'
      ];
      export default {
      
          color: colorPalette,
      
          title: {
              textStyle: {
                  fontWeight: 'normal',
                  color: '#27727B'
              }
          },
      
          visualMap: {
              color: ['#C1232B', '#FCCE10']
          },
      
          toolbox: {
              iconStyle: {
                  normal: {
                      borderColor: colorPalette[0]
                  }
              }
          },
      
          tooltip: {
              backgroundColor: 'rgba(50,50,50,0.5)',
              axisPointer: {
                  type: 'line',
                  lineStyle: {
                      color: '#27727B',
                      type: 'dashed'
                  },
                  crossStyle: {
                      color: '#27727B'
                  },
                  shadowStyle: {
                      color: 'rgba(200,200,200,0.3)'
                  }
              }
          },
      
          dataZoom: {
              dataBackgroundColor: 'rgba(181,195,52,0.3)',
              fillerColor: 'rgba(181,195,52,0.2)',
              handleColor: '#27727B'
          },
      
          categoryAxis: {
              axisLine: {
                  lineStyle: {
                      color: '#27727B'
                  }
              },
              splitLine: {
                  show: false
              }
          },
      
          valueAxis: {
              axisLine: {
                  show: false
              },
              splitArea: {
                  show: false
              },
              splitLine: {
                  lineStyle: {
                      color: ['#ccc'],
                      type: 'dashed'
                  }
              }
          },
      
          timeline: {
              lineStyle: {
                  color: '#27727B'
              },
              controlStyle: {
                  normal: {
                      color: '#27727B',
                      borderColor: '#27727B'
                  }
              },
              symbol: 'emptyCircle',
              symbolSize: 3
          },
      
          line: {
              itemStyle: {
                  normal: {
                      borderWidth: 2,
                      borderColor: '#fff',
                      lineStyle: {
                           3
                      }
                  },
                  emphasis: {
                      borderWidth: 0
                  }
              },
              symbol: 'circle',
              symbolSize: 3.5
          },
      
          candlestick: {
              itemStyle: {
                  normal: {
                      color: '#C1232B',
                      color0: '#B5C334',
                      lineStyle: {
                           1,
                          color: '#C1232B',
                          color0: '#B5C334'
                      }
                  }
              }
          },
      
          graph: {
              color: colorPalette
          },
      
          map: {
              label: {
                  normal: {
                      textStyle: {
                          color: '#C1232B'
                      }
                  },
                  emphasis: {
                      textStyle: {
                          color: 'rgb(100,0,0)'
                      }
                  }
              },
              itemStyle: {
                  normal: {
                      areaColor: '#ddd',
                      borderColor: '#eee'
                  },
                  emphasis: {
                      areaColor: '#fe994e'
                  }
              }
          },
      
          gauge: {
              axisLine: {
                  lineStyle: {
                      color: [
                          [
                              0.2, '#B5C334'
                          ],
                          [
                              0.8, '#27727B'
                          ],
                          [1, '#C1232B']
                      ]
                  }
              },
              axisTick: {
                  splitNumber: 2,
                  length: 5,
                  lineStyle: {
                      color: '#fff'
                  }
              },
              axisLabel: {
                  textStyle: {
                      color: '#fff'
                  }
              },
              splitLine: {
                  length: '5%',
                  lineStyle: {
                      color: '#fff'
                  }
              },
              title: {
                  offsetCenter: [0, -20]
              }
          }
      }
    3. 引用主题
      //导入主题
      import echartTheme from './../echartTheme'
      import themeLight from './../themeLight'  
    4. componentWillMount()中注册主题
      componentWillMount(){
              echarts.registerTheme('Default', echartTheme);
              echarts.registerTheme('Light', themeLight);
      }
    5. ReactEcharts组件中使用主题

      <ReactEcharts theme="Default"/>
      <ReactEcharts theme="Light"/>  
    • React单页面应用中安装echarts、echarts-for-react(常用)

      npm install echarts echarts-for-react --save
      //或
      yarn add echarts echarts-for-react --save
    • 引用echarts

    1. 方法一:加载全部echarts包(少用)

      //加载全部echarts
      import echarts from 'echarts'
    2. 方法二:按需加载(常用)

      //按需加载
      import echarts from 'echarts/lib/echarts'
      //必需基础组件
      import 'echarts/lib/component/tooltip'
      import 'echarts/lib/component/title'
      import 'echarts/lib/component/legend'
      import 'echarts/lib/component/markPoint'
      //导入矩形图
      import 'echarts/lib/chart/bar' 
      
    • 引用并初始化ReactEcharts:组件化开发,避免通过new对象的形式实现

      import ReactEcharts from 'echarts-for-react'
      
      //render echarts options
      <ReactEcharts option={this.getOption()} theme="Default"/>
      

             

    二、柱形图功能实现

    • echarts->bar->index.js:对应路由/admin/charts/bar
    • 基本柱形图表

    1. 初始化ReactEcharts

      <Card title="基本柱形图表">
            <ReactEcharts option={this.getOption()} theme="Default" style={{height: 500}}/>
      </Card>
    2. getOption()渲染数据:series为核心整体数据源,type为'bar'

      getOption = () => {
              let option = {
                  title: {
                      text: '用户骑行订单'
                  },
                  tooltip: {//提示条
                      trigger: 'axis'
                  },
                  xAxis: {  //X轴
                      data: ['周一','周二','周三','周四','周五','周六','周日']
                  },
                  yAxis: {  //Y轴
                      type: 'value'
                  },
                  series: [ //整体数据源
                      {
                          name: '订单量',
                          type: 'bar',
                          data: [1000, 2000, 1500, 3000, 2000, 1200, 800]
                      }
                  ]
              }
              return option;
      }
      
    • 对比柱形图表

    1. 初始化ReactEcharts

      <Card title="对比柱形图表">
                <ReactEcharts option={this.getOption2()} theme="Default" style={{height: 500}}/> 
      </Card>
    2. getOption2()渲染数据

      getOption2 = () => {
              let option = {
                  title: {
                      text: '用户骑行订单'
                  },
                  legend: { //可过滤父标题
                      data: ['OFO','摩拜','小蓝']
                  },
                  tooltip: {
                      trigger: 'axis'
                  },
                  xAxis: {
                      data: ['周一','周二','周三','周四','周五','周六','周日']
                  },
                  yAxis: {
                      type: 'value'
                  },
                  series: [ //整体数据源
                      {
                          name: 'OFO',
                          type: 'bar',
                          data: [2000, 3000, 5500, 7000, 8000, 12000, 20000]
                      },
                      {
                          name: '摩拜',
                          type: 'bar',
                          data: [1500, 3000, 4500, 6000, 8000, 10000, 15000]
                      },
                      {
                          name: '小蓝',
                          type: 'bar',
                          data: [1000, 2500, 4000, 4500, 6000, 7000, 8000]
                      }
                  ]
              }
              return option;
      }
      

    三、饼形图功能实现

    • echarts->pie->index.js:对应路由/admin/charts/pie
    • 按需加载导入饼图
      //导入饼图
      import 'echarts/lib/chart/pie'
    • 饼形图表

    1. 初始化ReactEcharts

      <Card title="饼形图表">
            <ReactEcharts option={this.getOption()} theme="Light"/>
      </Card>
    2. getOption():关键在于option不同,type为'pie',data数组元素为对象

      getOption = () => {
              let option = {
                  title: {
                      text: '用户骑行订单',
                      x: 'center'  //水平方向居中
                  },
                  legend: {
                      orient: 'vertical', //垂直方向排列
                      right: 10,          //绝对定位位置
                      top: 20,
                      bottom: 20,
                      data: ['周一','周二','周三','周四','周五','周六','周日']
                  },
                  tooltip:{
                      trigger: 'item',
                      formatter: '{a}<br/>{b}:{c}({d}%)' //格式化提示项
                  },
                  series: [
                      {
                          name: '订单量',
                          type: 'pie',
                          data: [
                              {
                                  value: 1000,
                                  name: '周一'
                              },
                              {
                                  value: 1000,
                                  name: '周二'
                              },
                              {
                                  value: 2000,
                                  name: '周三'
                              },
                              {
                                  value: 1500,
                                  name: '周四'
                              },
                              {
                                  value: 3000,
                                  name: '周五'
                              },
                              {
                                  value: 2000,
                                  name: '周六'
                              },
                              {
                                  value: 1200,
                                  name: '周日'
                              }
                          ]
                      }
                  ]
              }
              return option;
      }
      
    • 环形图表

    1. 初始化ReactEcharts

       <Card title="环形图表">
                 <ReactEcharts option={this.getOption2()} theme="Light"/> 
      </Card>
    2. getOption2():radius属性设置内环外环大小

      getOption2 = () => {
              let option = {
                  title: {
                      text: '用户骑行订单',
                      x: 'center'  //水平方向居中
                  },
                  legend: {
                      orient: 'vertical', //垂直方向排列
                      right: 10,          //绝对定位位置
                      top: 20,
                      bottom: 20,
                      data: ['周一','周二','周三','周四','周五','周六','周日']
                  },
                  tooltip:{
                      trigger: 'item',
                      formatter: '{a}<br/>{b}:{c}({d}%)' //格式化提示项
                  },
                  series: [
                      {
                          name: '订单量',
                          type: 'pie',
                          radius: ['50%','80%'], //内环外环大小
                          // center: ['30%','60%'], //x轴y轴位置
                          data: [
                              {
                                  value: 1000,
                                  name: '周一'
                              },
                              {
                                  value: 1000,
                                  name: '周二'
                              },
                              {
                                  value: 2000,
                                  name: '周三'
                              },
                              {
                                  value: 1500,
                                  name: '周四'
                              },
                              {
                                  value: 3000,
                                  name: '周五'
                              },
                              {
                                  value: 2000,
                                  name: '周六'
                              },
                              {
                                  value: 1200,
                                  name: '周日'
                              }
                          ]
                      }
                  ]
              }
              return option;
      }
      
    • 南丁格尔图表:表格按数据大小排序、半径或区域随数据递增

    1. 初始化ReactEcharts

      <Card title="南丁格尔图表">
            <ReactEcharts option={this.getOption3()} theme="Light"/> 
      </Card>
    2. getOption3():roseType属性指定半径radius或区域area

      getOption3 = () => {
              let option = {
                  title: {
                      text: '用户骑行订单',
                      x: 'center'  //水平方向居中
                  },
                  legend: {
                      orient: 'vertical', //垂直方向排列
                      right: 10,          //绝对定位位置
                      top: 20,
                      bottom: 20,
                      data: ['周一','周二','周三','周四','周五','周六','周日']
                  },
                  tooltip:{
                      trigger: 'item',
                      formatter: '{a}<br/>{b}:{c}({d}%)' //格式化提示项
                  },
                  series: [
                      {
                          name: '订单量',
                          type: 'pie',
                          data: [
                              {
                                  value: 1000,
                                  name: '周一'
                              },
                              {
                                  value: 1000,
                                  name: '周二'
                              },
                              {
                                  value: 2000,
                                  name: '周三'
                              },
                              {
                                  value: 1500,
                                  name: '周四'
                              },
                              {
                                  value: 3000,
                                  name: '周五'
                              },
                              {
                                  value: 2000,
                                  name: '周六'
                              },
                              {
                                  value: 1200,
                                  name: '周日'
                              }
                          ].sort((a,b) => {  //数据排序
                              return a.value - b.value;
                          }),
                          roseType:'radius', //数据大、半径大        
                      }
                  ]
              }
              return option;
      }
      

    四、折线图功能实现

    • echarts->pie->index.js:对应路由/admin/charts/pie
    • 按需加载导入折线图
      //导入饼图
      import 'echarts/lib/chart/line'
    • 基本折线图表

    1. 初始化ReactEcharts

      <Card title="基本折线图">
                <ReactEcharts option={this.getOption()} theme="Default" style={{height: 500}}/>
      </Card>
    2. getOption():指定xAxis和yAxis的数据,series中通过data存储趋势点

      getOption = () => {
              let option = {
                  title: {
                      text: '用户骑行订单'
                  },
                  tooltip: {
                      trigger: 'axis'
                  },
                  xAxis: {
                      data: [
                          '周一','周二','周三','周四','周五','周六','周日'
                      ]
                  },
                  yAxis: {
                      type: 'value'
                  },
                  series: [
                      {
                          name: '订单量',
                          type: 'line',
                          data: [1000,2000,1500,3000,2000,1200,800] //趋势点
                      }
                  ]
              }
              return option;
      }
      
    • 对比折线图表

    1. 初始化ReactCharts

      <Card title="对比折线图">
               <ReactEcharts option={this.getOption2()} theme="Default" style={{height: 500}}/> 
      </Card>
    2. getOptions2():series整体数据源中多个数据对象对比

      getOption2 = () => {
              let option = {
                  title: {
                      text: '用户骑行订单'
                  },
                  tooltip: {
                      trigger: 'axis'
                  },
                  legend: {
                      data: ['OFO订单量','摩拜订单量']  
                  },
                  xAxis: {
                      data: [
                          '周一','周二','周三','周四','周五','周六','周日'
                      ]
                  },
                  yAxis: {
                      type: 'value'
                  },
                  series: [
                      {
                          name: 'OFO订单量',
                          type: 'line',
                          data: [1200,3000,4500,6000,8000,12000,20000] //趋势点
                      },
                      {
                          name: '摩拜订单量',
                          type: 'line',
                          data: [1000,2000,5500,6000,8000,10000,12000] //趋势点
                      }
                  ]
              }
              return option;
      }
      
    • 区域折线图表

    1. 初始化ReactEcharts

      <Card title="区域折线图">
              <ReactEcharts option={this.getOption3()} theme="Default" style={{height: 500}}/> 
      </Card>
    2. getOption3():boundaryGap属性指定坐标轴从0开始,areaStyle属性指定区域填充样式

      getOption3 = () => {
              let option = {
                  title: {
                      text: '用户骑行订单'
                  },
                  tooltip: {
                      trigger: 'axis'
                  },
                  xAxis: {
                      boundaryGap: false, //坐标轴从起点开始,true时在中间
                      data: ['周一','周二','周三','周四','周五','周六','周日']
                  },
                  yAxis: {
                      type: 'value'
                  },
                  series: [
                      {
                          name: '订单量',
                          type: 'line',
                          data: [1000,2000,1500,3000,2000,1200,800], //趋势点
                          areaStyle: {} //区域填充颜色
                      }
                  ]
              }
              return option;
      }

    注:转载请注明出处

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  • 原文地址:https://www.cnblogs.com/ljq66/p/10223002.html
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