Echarts通过dataset数据集实现创建单轴散点图

目录

• dataset创建单轴散点图
• 配置项
• 效果图

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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