hexo中的画图工具-Echarts

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百度开源的一款前端绘图库, ECharts 提供了常规的折线图、柱状图、散点图、饼图、K线图，用于统计的盒形图，用于地理数据可视化的地图、热力图、线图，用于关系数据可视化的关系图、treemap、旭日图，多维数据可视化的平行坐标，还有用于 BI 的漏斗图，仪表盘，并且支持图与图之间的混搭。

1 安装

  • 在所用主题目录下layout\_partial中的head.ejs里加入：

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    <script src="https://cdn.bootcss.com/echarts/4.1.0-release/echarts.min.js"></script>

    hexo-tag-echarts 插件版本比较老，有些新的特性不支持。需要手动修改ECharts版本

  • 安装hexo-tag-echarts插件

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    npm install hexo-tag-echarts --save

2 使用示例

2.1 折线图

2.1.1 简单的折线图

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{% echarts %}
{
    xAxis: {
        type: 'category',
        data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
    },
    yAxis: {
        type: 'value'
    },
    series: [{
        data: [820, 932, 901, 934, 1290, 1330, 1320],
        type: 'line'
    }]
}
{% endecharts %}

2.1.2 圆滑曲线

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{% echarts %}
{
    xAxis: {
        type: 'category',
        data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
    },
    yAxis: {
        type: 'value'
    },
    series: [{
        data: [820, 932, 901, 934, 1290, 1330, 1320],
        type: 'line',
        smooth: true
    }]
}
{% endecharts %}

2.1.3 折线堆叠

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{% echarts %}
{
    title: {
        text: '折线图堆叠'
    },
    tooltip: {
        trigger: 'axis'
    },
    legend: {
        data:['邮件营销','联盟广告','视频广告','直接访问','搜索引擎'],
        top: '10%'
    },
    grid: {
        left: '3%',
        right: '4%',
        bottom: '3%',
        top: '20%',
        containLabel: true
    },
    toolbox: {      // 右上角工具条 
        feature: {
            saveAsImage: {}    // 下载图片
        }
    },
    xAxis: {
        type: 'category',
        boundaryGap: false,
        data: ['周一','周二','周三','周四','周五','周六','周日']
    },
    yAxis: {
        type: 'value'
    },
    series: [
        {
            name:'邮件营销',
            type:'line',
            stack: '总量',      // 数据堆叠，配置相同的stack值后，后值会在前值上相加
            label: {            // 在折线上展示数据
                normal: {       
                    show: true,
                    position: 'top'
                }
            },
            data:[120, 132, 101, 134, 90, 230, 210]
        },
        {
            name:'联盟广告',
            type:'line',
            stack: '总量',
            label: {            // 在折线上展示数据
                emphasis: {     // 鼠标放上去时展示数据
                    show: true,
                    position: 'top'
                }
            },
            data:[220, 182, 191, 234, 290, 330, 310]
        },
        {
            name:'视频广告',
            type:'line',
            stack: '总量',
            areaStyle: {normal: {}},        // 折线下方填色
            data:[150, 232, 201, 154, 190, 330, 410]
        },
        {
            name:'直接访问',
            type:'line',
            stack: '总量',
            data:[320, 332, 301, 334, 390, 330, 320]
        },
        {
            name:'搜索引擎',
            type:'line',
            stack: '总量',
            label: {
                normal: {
                    show: true,
                    position: 'top'
                }
            },
            areaStyle: {normal: {}},
            data:[820, 932, 901, 934, 1290, 1330, 1320]
        }
    ]
}
{% endecharts %}

2.1.4 平均值 最高值 最低值

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{% echarts %}
{
    title: {
        text: '未来一周气温变化',
        subtext: '纯属虚构'
    },
    tooltip: {
        trigger: 'axis'
    },
    legend: {
        data:['最高气温','最低气温']
    },
    toolbox: {
        show: true,
        feature: {
            dataZoom: {
                yAxisIndex: 'none'
            },
            dataView: {readOnly: false},
            magicType: {type: ['line', 'bar']},
            restore: {},
            saveAsImage: {}
        }
    },
    xAxis:  {
        type: 'category',
        boundaryGap: false,
        data: ['周一','周二','周三','周四','周五','周六','周日']
    },
    yAxis: {
        type: 'value',
        axisLabel: {
            formatter: '{value} °C'
        }
    },
    series: [
        {
            name:'最高气温',
            type:'line',
            data:[11, 11, 15, 13, 12, 13, 10],
            markPoint: {
                data: [
                    {type: 'max', name: '最大值'},
                    {type: 'min', name: '最小值'}
                ]
            },
            markLine: {
                data: [
                    {type: 'average', name: '平均值'}
                ]
            }
        },
        {
            name:'最低气温',
            type:'line',
            data:[1, -2, 2, 5, 3, 2, 0],
            markPoint: {
                data: [
                    {name: '周最低', value: -2, xAxis: 1, yAxis: -1.5}
                ]
            },
            markLine: {
                data: [
                    {type: 'average', name: '平均值'},
                    [{
                        symbol: 'none',
                        x: '90%',
                        yAxis: 'max'
                    }, {
                        symbol: 'circle',
                        label: {
                            normal: {
                                position: 'start',
                                formatter: '最大值'
                            }
                        },
                        type: 'max',
                        name: '最高点'
                    }]
                ]
            }
        }
    ]
}
{% endecharts %}

2.1.5 区域亮度

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{% echarts %}
{
    title: {
        text: '一天用电量分布',
        subtext: '纯属虚构'
    },
    tooltip: {
        trigger: 'axis',
        axisPointer: {
            type: 'cross'
        }
    },
    toolbox: {
        show: true,
        feature: {
            saveAsImage: {}
        }
    },
    xAxis:  {
        type: 'category',
        boundaryGap: false,
        data: ['00:00', '01:15', '02:30', '03:45', '05:00', '06:15', '07:30', '08:45', '10:00', '11:15', '12:30', '13:45', '15:00', '16:15', '17:30', '18:45', '20:00', '21:15', '22:30', '23:45']
    },
    yAxis: {
        type: 'value',
        axisLabel: {
            formatter: '{value} W'
        },
        axisPointer: {
            snap: true
        }
    },
    visualMap: {
        show: false,
        dimension: 0,
        pieces: [{
            lte: 6,
            color: 'green'
        }, {
            gt: 6,
            lte: 8,
            color: 'red'
        }, {
            gt: 8,
            lte: 14,
            color: 'green'
        }, {
            gt: 14,
            lte: 17,
            color: 'red'
        }, {
            gt: 17,
            color: 'green'
        }]
    },
    series: [
        {
            name:'用电量',
            type:'line',
            smooth: true,
            data: [300, 280, 250, 260, 270, 300, 550, 500, 400, 390, 380, 390, 400, 500, 600, 750, 800, 700, 600, 400],
            markArea: {
                data: [ [{
                    name: '早高峰',
                    xAxis: '07:30'
                }, {
                    xAxis: '10:00'
                }], [{
                    name: '晚高峰',
                    xAxis: '17:30'
                }, {
                    xAxis: '21:15'
                }] ]
            }
        }
    ]
}
{% endecharts %}

2.2 柱状图

2.2.1 简单柱状图

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{% echarts %}
{
    xAxis: {
        type: 'category',
        data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
    },
    yAxis: {
        type: 'value'
    },
    series: [{
        label: {
            normal: {
                show: true,
                position: 'insideTop'
            }
        },
        data: [120, 200, 150, 80, 70, 110, 130],
        type: 'bar'
    }]
}
{% endecharts %}

2.2.2 组合柱状图

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{% echarts %}
{
    tooltip : {
        trigger: 'axis',
        axisPointer : {            // 坐标轴指示器，坐标轴触发有效
            type : 'shadow'        // 默认为直线，可选为：'line' | 'shadow'
        }
    },
    legend: {
        data:['直接访问','邮件营销','联盟广告','视频广告','搜索引擎','百度','谷歌','必应','其他']
    },
    grid: {
        left: '3%',
        right: '4%',
        bottom: '3%',
        containLabel: true
    },
    xAxis : [
        {
            type : 'category',
            data : ['周一','周二','周三','周四','周五','周六','周日']
        }
    ],
    yAxis : [
        {
            type : 'value'
        }
    ],
    series : [
        {
            name:'直接访问',
            type:'bar',
            data:[320, 332, 301, 334, 390, 330, 320]
        },
        {
            name:'邮件营销',
            type:'bar',
            stack: '广告',
            data:[120, 132, 101, 134, 90, 230, 210]
        },
        {
            name:'联盟广告',
            type:'bar',
            stack: '广告',
            data:[220, 182, 191, 234, 290, 330, 310]
        },
        {
            name:'视频广告',
            type:'bar',
            stack: '广告',
            data:[150, 232, 201, 154, 190, 330, 410]
        },
        {
            name:'搜索引擎',
            type:'bar',
            data:[862, 1018, 964, 1026, 1679, 1600, 1570],
            markLine : {
                lineStyle: {
                    normal: {
                        type: 'dashed'
                    }
                },
                data : [
                    [{type : 'min'}, {type : 'max'}]
                ]
            }
        },
        {
            name:'百度',
            type:'bar',
            barWidth : 5,
            stack: '搜索引擎',
            data:[620, 732, 701, 734, 1090, 1130, 1120]
        },
        {
            name:'谷歌',
            type:'bar',
            stack: '搜索引擎',
            data:[120, 132, 101, 134, 290, 230, 220]
        },
        {
            name:'必应',
            type:'bar',
            stack: '搜索引擎',
            data:[60, 72, 71, 74, 190, 130, 110]
        },
        {
            name:'其他',
            type:'bar',
            stack: '搜索引擎',
            data:[62, 82, 91, 84, 109, 110, 120]
        }
    ]
}
{% endecharts %}

2.2.3 横向柱状图

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{% echarts %}
{
    title: {
        text: '世界人口总量',
        subtext: '数据来自网络'
    },
    tooltip: {
        trigger: 'axis',
        axisPointer: {
            type: 'shadow'
        }
    },
    legend: {
        data: ['2011年', '2012年']
    },
    grid: {
        left: '3%',
        right: '4%',
        bottom: '3%',
        containLabel: true
    },
    xAxis: {
        type: 'value',
        boundaryGap: [0, 0.01]
    },
    yAxis: {
        type: 'category',
        data: ['巴西','印尼','美国','印度','中国','世界人口(万)']
    },
    series: [
        {
            name: '2011年',
            type: 'bar',
            data: [18203, 23489, 29034, 104970, 131744, 630230]
        },
        {
            name: '2012年',
            type: 'bar',
            data: [19325, 23438, 31000, 121594, 134141, 681807]
        }
    ]
}
{% endecharts %}

2.2.4 柱状横向堆叠

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{% echarts %}
{
    tooltip : {
        trigger: 'axis',
        axisPointer : {            // 坐标轴指示器，坐标轴触发有效
            type : 'shadow'        // 默认为直线，可选为：'line' | 'shadow'
        }
    },
    legend: {
        data: ['直接访问', '邮件营销','联盟广告','视频广告','搜索引擎']
    },
    grid: {
        left: '3%',
        right: '4%',
        bottom: '3%',
        containLabel: true
    },
    xAxis:  {
        type: 'value'
    },
    yAxis: {
        type: 'category',
        data: ['周一','周二','周三','周四','周五','周六','周日']
    },
    series: [
        {
            name: '直接访问',
            type: 'bar',
            stack: '总量',
            label: {
                normal: {
                    show: true,
                    position: 'insideRight'
                }
            },
            data: [320, 302, 301, 334, 390, 330, 320]
        },
        {
            name: '邮件营销',
            type: 'bar',
            stack: '总量',
            label: {
                normal: {
                    show: true,
                    position: 'insideRight'
                }
            },
            data: [120, 132, 101, 134, 90, 230, 210]
        },
        {
            name: '联盟广告',
            type: 'bar',
            stack: '总量',
            label: {
                normal: {
                    show: true,
                    position: 'insideRight'
                }
            },
            data: [220, 182, 191, 234, 290, 330, 310]
        },
        {
            name: '视频广告',
            type: 'bar',
            stack: '总量',
            label: {
                normal: {
                    show: true,
                    position: 'insideRight'
                }
            },
            data: [150, 212, 201, 154, 190, 330, 410]
        },
        {
            name: '搜索引擎',
            type: 'bar',
            stack: '总量',
            label: {
                normal: {
                    show: true,
                    position: 'insideRight'
                }
            },
            data: [820, 832, 901, 934, 1290, 1330, 1320]
        }
    ]
}
{% endecharts %}

2.2.5 最高值 最低值 标签

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{% echarts %}
{
    title : {
        text: '某地区蒸发量和降水量',
        subtext: '纯属虚构'
    },
    tooltip : {
        trigger: 'axis'
    },
    legend: {
        data:['蒸发量','降水量']
    },
    toolbox: {
        show : true,
        feature : {
            dataView : {show: true, readOnly: false},
            magicType : {show: true, type: ['line', 'bar']},
            restore : {show: true},
            saveAsImage : {show: true}
        }
    },
    calculable : true,
    xAxis : [
        {
            type : 'category',
            data : ['1月','2月','3月','4月','5月','6月','7月','8月','9月','10月','11月','12月']
        }
    ],
    yAxis : [
        {
            type : 'value'
        }
    ],
    series : [
        {
            name:'蒸发量',
            type:'bar',
            data:[2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3],
            markPoint : {
                data : [
                    {type : 'max', name: '最大值'},
                    {type : 'min', name: '最小值'}
                ]
            },
            markLine : {
                data : [
                    {type : 'average', name: '平均值'}
                ]
            }
        },
        {
            name:'降水量',
            type:'bar',
            data:[2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3],
            markPoint : {
                data : [
                    {name : '年最高', value : 182.2, xAxis: 7, yAxis: 183},
                    {name : '年最低', value : 2.3, xAxis: 11, yAxis: 3}
                ]
            },
            markLine : {
                data : [
                    {type : 'average', name : '平均值'}
                ]
            }
        }
    ]
}
{% endecharts %}

2.2.6 带折线

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{% echarts %}
{
    tooltip: {
        trigger: 'axis',
        axisPointer: {
            type: 'cross',
            crossStyle: {
                color: '#999'
            }
        }
    },
    toolbox: {
        feature: {
            dataView: {show: true, readOnly: false},
            magicType: {show: true, type: ['line', 'bar']},
            restore: {show: true},
            saveAsImage: {show: true}
        }
    },
    legend: {
        data:['蒸发量','降水量','平均温度']
    },
    xAxis: [
        {
            type: 'category',
            data: ['1月','2月','3月','4月','5月','6月','7月','8月','9月','10月','11月','12月'],
            axisPointer: {
                type: 'shadow'
            }
        }
    ],
    yAxis: [
        {
            type: 'value',
            name: '水量',
            min: 0,
            max: 250,
            interval: 50,
            axisLabel: {
                formatter: '{value} ml'
            }
        },
        {
            type: 'value',
            name: '温度',
            min: 0,
            max: 25,
            interval: 5,
            axisLabel: {
                formatter: '{value} °C'
            }
        }
    ],
    series: [
        {
            name:'蒸发量',
            type:'bar',
            data:[2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]
        },
        {
            name:'降水量',
            type:'bar',
            data:[2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]
        },
        {
            name:'平均温度',
            type:'line',
            yAxisIndex: 1,
            data:[2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2]
        }
    ]
}
{% endecharts %}

2.3 饼图

2.3.1 简单饼图

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{% echarts %}
{
    title : {
        text: '某站点用户访问来源',
        subtext: '纯属虚构',
        x:'center'
    },
    tooltip : {
        trigger: 'item',
        formatter: "{a} <br/>{b} : {c} ({d}%)"
    },
    legend: {
        orient: 'vertical',
        left: 'left',
        data: ['直接访问','邮件营销','联盟广告','视频广告','搜索引擎']
    },
    series : [
        {
            name: '访问来源',
            type: 'pie',
            radius : '55%',
            center: ['50%', '60%'],
            data:[
                {value:335, name:'直接访问'},
                {value:310, name:'邮件营销'},
                {value:234, name:'联盟广告'},
                {value:135, name:'视频广告'},
                {value:1548, name:'搜索引擎'}
            ],
            itemStyle: {
                emphasis: {
                    shadowBlur: 10,
                    shadowOffsetX: 0,
                    shadowColor: 'rgba(0, 0, 0, 0.5)'
                }
            }
        }
    ]
}
{% endecharts %}

2.3.2 自定义饼图

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{% echarts %}
{
    backgroundColor: '#2c343c',

    title: {
        text: 'Customized Pie',
        left: 'center',
        top: 20,
        textStyle: {
            color: '#ccc'
        }
    },

    tooltip : {
        trigger: 'item',
        formatter: "{a} <br/>{b} : {c} ({d}%)"
    },

    visualMap: {
        show: false,
        min: 80,
        max: 600,
        inRange: {
            colorLightness: [0, 1]
        }
    },
    series : [
        {
            name:'访问来源',
            type:'pie',
            radius : '55%',
            center: ['50%', '50%'],
            data:[
                {value:335, name:'直接访问'},
                {value:310, name:'邮件营销'},
                {value:274, name:'联盟广告'},
                {value:235, name:'视频广告'},
                {value:400, name:'搜索引擎'}
            ].sort(function (a, b) { return a.value - b.value; }),
            roseType: 'radius',
            label: {
                normal: {
                    textStyle: {
                        color: 'rgba(255, 255, 255, 0.3)'
                    }
                }
            },
            labelLine: {
                normal: {
                    lineStyle: {
                        color: 'rgba(255, 255, 255, 0.3)'
                    },
                    smooth: 0.2,
                    length: 10,
                    length2: 20
                }
            },
            itemStyle: {
                normal: {
                    color: '#c23531',
                    shadowBlur: 200,
                    shadowColor: 'rgba(0, 0, 0, 0.5)'
                }
            },

            animationType: 'scale',
            animationEasing: 'elasticOut',
            animationDelay: function (idx) {
                return Math.random() * 200;
            }
        }
    ]
}
{% endecharts %}

2.3.3 饼图嵌套

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{% echarts %}
{
    tooltip: {
        trigger: 'item',
        formatter: "{a} <br/>{b}: {c} ({d}%)"
    },
    legend: {
        orient: 'vertical',
        x: 'left',
        data:['直达','营销广告','搜索引擎','邮件营销','联盟广告','视频广告','百度','谷歌','必应','其他']
    },
    series: [
        {
            name:'访问来源',
            type:'pie',
            selectedMode: 'single',
            radius: [0, '30%'],

            label: {
                normal: {
                    position: 'inner'
                }
            },
            labelLine: {
                normal: {
                    show: false
                }
            },
            data:[
                {value:335, name:'直达', selected:true},
                {value:679, name:'营销广告'},
                {value:1548, name:'搜索引擎'}
            ]
        },
        {
            name:'访问来源',
            type:'pie',
            radius: ['40%', '55%'],
            label: {
                normal: {
                    formatter: '{a|{a}}{abg|}\n{hr|}\n  {b|{b}：}{c}  {per|{d}%}  ',
                    backgroundColor: '#eee',
                    borderColor: '#aaa',
                    borderWidth: 1,
                    borderRadius: 4,
                    // shadowBlur:3,
                    // shadowOffsetX: 2,
                    // shadowOffsetY: 2,
                    // shadowColor: '#999',
                    // padding: [0, 7],
                    rich: {
                        a: {
                            color: '#999',
                            lineHeight: 22,
                            align: 'center'
                        },
                        // abg: {
                        //     backgroundColor: '#333',
                        //     width: '100%',
                        //     align: 'right',
                        //     height: 22,
                        //     borderRadius: [4, 4, 0, 0]
                        // },
                        hr: {
                            borderColor: '#aaa',
                            width: '100%',
                            borderWidth: 0.5,
                            height: 0
                        },
                        b: {
                            fontSize: 16,
                            lineHeight: 33
                        },
                        per: {
                            color: '#eee',
                            backgroundColor: '#334455',
                            padding: [2, 4],
                            borderRadius: 2
                        }
                    }
                }
            },
            data:[
                {value:335, name:'直达'},
                {value:310, name:'邮件营销'},
                {value:234, name:'联盟广告'},
                {value:135, name:'视频广告'},
                {value:1048, name:'百度'},
                {value:251, name:'谷歌'},
                {value:147, name:'必应'},
                {value:102, name:'其他'}
            ]
        }
    ]
}
{% endecharts %}

2.4 散点图

2.4.1 简单的散点图

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{% echarts %}
{
    xAxis: {},
    yAxis: {},
    series: [{
        symbolSize: 20,
        data: [
            [10.0, 8.04],
            [8.0, 6.95],
            [13.0, 7.58],
            [9.0, 8.81],
            [11.0, 8.33],
            [14.0, 9.96],
            [6.0, 7.24],
            [4.0, 4.26],
            [12.0, 10.84],
            [7.0, 4.82],
            [5.0, 5.68]
        ],
        type: 'scatter'
    }]
}
{% endecharts %}

2.5 雷达图

2.5.1 基础雷达图

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{% echarts %}
{
    title: {
        text: '基础雷达图'
    },
    tooltip: {},
    legend: {
        data: ['预算分配（Allocated Budget）', '实际开销（Actual Spending）']
    },
    radar: {
        // shape: 'circle',
        name: {
            textStyle: {
                color: '#fff',
                backgroundColor: '#999',
                borderRadius: 3,
                padding: [3, 5]
           }
        },
        indicator: [
           { name: '销售（sales）', max: 6500},
           { name: '管理（Administration）', max: 16000},
           { name: '信息技术（Information Techology）', max: 30000},
           { name: '客服（Customer Support）', max: 38000},
           { name: '研发（Development）', max: 52000},
           { name: '市场（Marketing）', max: 25000}
        ]
    },
    series: [{
        name: '预算 vs 开销（Budget vs spending）',
        type: 'radar',
        // areaStyle: {normal: {}},
        data : [
            {
                value : [4300, 10000, 28000, 35000, 50000, 19000],
                name : '预算分配（Allocated Budget）'
            },
             {
                value : [5000, 14000, 28000, 31000, 42000, 21000],
                name : '实际开销（Actual Spending）'
            }
        ]
    }]
}
{% endecharts %}

2.5.2 多雷达图

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{% echarts %}
{
    title: {
        text: '多雷达图'
    },
    tooltip: {
        trigger: 'axis'
    },
    legend: {
        x: 'center',
        data:['某软件','某主食手机','某水果手机','降水量','蒸发量']
    },
    radar: [
        {
            indicator: [
                {text: '品牌', max: 100},
                {text: '内容', max: 100},
                {text: '可用性', max: 100},
                {text: '功能', max: 100}
            ],
            center: ['25%','40%'],
            radius: 80
        },
        {
            indicator: [
                {text: '外观', max: 100},
                {text: '拍照', max: 100},
                {text: '系统', max: 100},
                {text: '性能', max: 100},
                {text: '屏幕', max: 100}
            ],
            radius: 80,
            center: ['50%','60%'],
        },
        {
            indicator: (function (){
                var res = [];
                for (var i = 1; i <= 12; i++) {
                    res.push({text:i+'月',max:100});
                }
                return res;
            })(),
            center: ['75%','40%'],
            radius: 80
        }
    ],
    series: [
        {
            type: 'radar',
             tooltip: {
                trigger: 'item'
            },
            itemStyle: {normal: {areaStyle: {type: 'default'}}},
            data: [
                {
                    value: [60,73,85,40],
                    name: '某软件'
                }
            ]
        },
        {
            type: 'radar',
            radarIndex: 1,
            data: [
                {
                    value: [85, 90, 90, 95, 95],
                    name: '某主食手机'
                },
                {
                    value: [95, 80, 95, 90, 93],
                    name: '某水果手机'
                }
            ]
        },
        {
            type: 'radar',
            radarIndex: 2,
            itemStyle: {normal: {areaStyle: {type: 'default'}}},
            data: [
                {
                    name: '降水量',
                    value: [2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 75.6, 82.2, 48.7, 18.8, 6.0, 2.3],
                },
                {
                    name:'蒸发量',
                    value:[2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 35.6, 62.2, 32.6, 20.0, 6.4, 3.3]
                }
            ]
        }
    ]
}
{% endecharts %}

2.6 漏斗图

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{% echarts %}
{
    title: {
        text: '漏斗图',
        subtext: '纯属虚构'
    },
    tooltip: {
        trigger: 'item',
        formatter: "{a} <br/>{b} : {c}%"
    },
    toolbox: {
        feature: {
            dataView: {readOnly: false},
            restore: {},
            saveAsImage: {}
        }
    },
    legend: {
        data: ['展现','点击','访问','咨询','订单']
    },
    calculable: true,
    series: [
        {
            name:'漏斗图',
            type:'funnel',
            left: '10%',
            top: 60,
            //x2: 80,
            bottom: 60,
            width: '400',
            // height: {totalHeight} - y - y2,
            min: 0,
            max: 100,
            minSize: '0%',
            maxSize: '100%',
            sort: 'descending',
            gap: 2,
            label: {
                show: true,
                position: 'inside'
            },
            labelLine: {
                length: 10,
                lineStyle: {
                    width: 1,
                    type: 'solid'
                }
            },
            itemStyle: {
                borderColor: '#fff',
                borderWidth: 1
            },
            emphasis: {
                label: {
                    fontSize: 20
                }
            },
            data: [
                {value: 60, name: '访问'},
                {value: 40, name: '咨询'},
                {value: 20, name: '订单'},
                {value: 80, name: '点击'},
                {value: 100, name: '展现'}
            ]
        }
    ]
}
{% endecharts %}

2.7 关系图

2.8 树图