Echarts通过dataset数据集实现创建单轴散点图


dataset创建单轴散点图

由于使用echarts作图时,我很喜欢用dataset作为数据源,但是官方案例中,又没有给出相关示例,于是,在翻阅官方文档相关案例之后,结合官方文档使用dataset的示例,成功使用dataset绘制单轴散点图!

配置项

//配置项const option = {    title:[],    dataset:[        {            //使用 dimensions:["week","hours","count"], 方式时,            //transform识别不到!                     source:[//原始数据集                ["week","hours","count"],                [0, 0, 5], [0, 1, 1], [0, 2, 0], [0, 3, 0],                 [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0],                 [0, 8, 0], [0, 9, 0], [0, 10, 0], [0, 11, 2],                 [0, 12, 4], [0, 13, 1], [0, 14, 1], [0, 15, 3],                 [0, 16, 4], [0, 17, 6], [0, 18, 4], [0, 19, 4],                 [0, 20, 3], [0, 21, 3], [0, 22, 2], [0, 23, 5],                 [1, 0, 7], [1, 1, 0], [1, 2, 0], [1, 3, 0],                 [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0],                 [1, 8, 0], [1, 9, 0], [1, 10, 5], [1, 11, 2],                 [1, 12, 2], [1, 13, 6], [1, 14, 9], [1, 15, 11],                 [1, 16, 6], [1, 17, 7], [1, 18, 8], [1, 19, 12],                 [1, 20, 5], [1, 21, 5], [1, 22, 7], [1, 23, 2],                 [2, 0, 1], [2, 1, 1], [2, 2, 0], [2, 3, 0],                 [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0],                 [2, 8, 0], [2, 9, 0], [2, 10, 3], [2, 11, 2],                 [2, 12, 1], [2, 13, 9], [2, 14, 8], [2, 15, 10],                 [2, 16, 6], [2, 17, 5], [2, 18, 5], [2, 19, 5],                 [2, 20, 7], [2, 21, 4], [2, 22, 2], [2, 23, 4],                 [3, 0, 7], [3, 1, 3], [3, 2, 0], [3, 3, 0],                 [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0],                 [3, 8, 1], [3, 9, 0], [3, 10, 5], [3, 11, 4],                 [3, 12, 7], [3, 13, 14], [3, 14, 13], [3, 15, 12],                 [3, 16, 9], [3, 17, 5], [3, 18, 5], [3, 19, 10],                 [3, 20, 6], [3, 21, 4], [3, 22, 4], [3, 23, 1],                 [4, 0, 1], [4, 1, 3], [4, 2, 0], [4, 3, 0],                 [4, 4, 0], [4, 5, 1], [4, 6, 0], [4, 7, 0],                 [4, 8, 0], [4, 9, 2], [4, 10, 4], [4, 11, 4],                 [4, 12, 2], [4, 13, 4], [4, 14, 4], [4, 15, 14],                 [4, 16, 12], [4, 17, 1], [4, 18, 8], [4, 19, 5],                 [4, 20, 3], [4, 21, 7], [4, 22, 3], [4, 23, 0],                 [5, 0, 2], [5, 1, 1], [5, 2, 0], [5, 3, 3],                 [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0],                 [5, 8, 2], [5, 9, 0], [5, 10, 4], [5, 11, 1],                 [5, 12, 5], [5, 13, 10], [5, 14, 5], [5, 15, 7],                 [5, 16, 11], [5, 17, 6], [5, 18, 0], [5, 19, 5],                 [5, 20, 3], [5, 21, 4], [5, 22, 2], [5, 23, 0],                 [6, 0, 1], [6, 1, 0], [6, 2, 0], [6, 3, 0],                 [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0],                 [6, 8, 0], [6, 9, 0], [6, 10, 1], [6, 11, 0],                 [6, 12, 2], [6, 13, 1], [6, 14, 3], [6, 15, 4],                 [6, 16, 0], [6, 17, 0], [6, 18, 0], [6, 19, 0],                 [6, 20, 1], [6, 21, 2], [6, 22, 2], [6, 23, 6]            ]        },    ],  tooltip: {    formatter:param=>{        return `            week:${week[param.value[0]]}            <br/>hour:${hours[param.value[1]]}            <br />count:${param.value[2]}        `    },        position: 'bottom'  },  singleAxis: [],//单轴配置  series: []}//24小时数组const hours = [    '12a', '1a', '2a', '3a', '4a', '5a', '6a',    '7a', '8a', '9a', '10a', '11a',    '12p', '1p', '2p', '3p', '4p', '5p',    '6p', '7p', '8p', '9p', '10p', '11p'];//星期数组const week = ['Saturday', 'Friday', 'Thursday',    'Wednesday', 'Tuesday', 'Monday', 'Sunday']for(let index = 0 ; index <7;index++){    option.title.push(        {            top: ((index + 0.5) * 100) / 7 + '%',//标题显示位置            text: week[index]//标题        }    )    //通过transform从dataset.source中获取目标数据    option.dataset.push(        {            transform: {                type: 'filter',//使用transform过滤器                //条件:week维度值=index的值                config: { dimension: 'week', value: index },            }        },    );    option.singleAxis.push(        {            left: 150,            boundaryGap: false,             //使用24小时数组为刻度            type: 'category',            data: hours,            top: (index * 100) / 7 + 5 + '%',            height: 100 / 7 - 10 + '%',            axisLabel: {                interval: 2,            }        }    );    option.series.push(        {            datasetIndex: index + 1,//使用对应转换好的数据源            singleAxisIndex: index,            coordinateSystem: 'singleAxis',            type: 'scatter',            encode: {                //数据的第2列和第三列为展示数据                //transform数据源["hour","count"]无法识别                single:[1,2]            },            symbolSize: function (dataItem) {                return dataItem[2] * 4;            }        }    )}

效果图

官方案例请移步:https://echarts.apache.org/examples/zh/editor.html?c=scatter-single-axis

官方案例效果图:

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