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  • 【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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