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ECharts 多季度连续显示到一个图中。

news 2025/7/22 11:24:16

效果图

请添加图片描述

二.相关option

以下option可以复制到 echarts的编辑器进行查看修改

const site = 'test1';
const site2 = 'test2';const qtrlyOption = function (data: any, titleText: string): any {//获取最大值 。最大最小值的目的是：使左右里边的所有bar使用同一个指标let yAxisMax = 0;let yAxisMin = 0;//根据数据整理并获取最大和最小值let dataValue = [] as any;(data?.series?.[site]?.[0]?.data || []).forEach((item: any[]) => {dataValue.push(...item);});(data?.series?.[site2]?.[0]?.data || []).forEach((item: any[]) => {dataValue.push(...item);});dataValue = dataValue.map((li: number | null | undefined) => li || 0);yAxisMax = Math.max(...dataValue);const decimalPlaces =(yAxisMax + '').indexOf('.') > 0? (yAxisMax + '').replace(/^.*[.]/g, '').length: 0;yAxisMax = yAxisMax * 1.1; //根据最大值进行10%的变大（显示出来的柱状不会顶到最上面）yAxisMax =decimalPlaces == 0? parseInt(yAxisMax + ''): +yAxisMax.toFixed(decimalPlaces);  yAxisMin = Math.min(...dataValue);  //得出和最大值一致的小数位//当前显示四个季度。根据显示季度个数，来计算subtitle,grid,对应的布局const qtrlyCount = 4 as number;//左侧预留位置尽可能的显示完整左侧坐标数值const leftPercent = 8 as number;//右侧预留位置尽可能的显示完整右侧坐标数值const rightPercent = 3.5 as number;//储存左右两侧开始的位置const left = new Array(qtrlyCount).fill('') as any[];const right = new Array(qtrlyCount).fill('') as any[];/*** 储存最下方季度[2023Q2,2023Q3,2023Q4,2024Q1]的显示文字位置*/const title = [] as any[];/*** 布局右qtrlyCount=4 块图形区域组成，因此每个距离画布左右侧的位置需要计算出来*/const grid = [] as any[];/*** x坐标轴。坐标轴为qtrlyCount*2个，前4个是下方的坐标轴。后4个是为了显示头上的坐标线*/const xAxis = [] as any[];/*** y坐标轴。坐标轴为qtrlyCount*2个，前4个是左侧的坐标轴，为了显示bar。后4个是右侧坐标轴，为了显示line的百分值*/const yAxis = [] as any[];/*** 组装数据 ，数据需要进行指定xAxisIndex下标, yAxisIndex下标。而xAxisIndex,yAxisIndex的下标又对于指定的gridIndex下标，可以对于到指定的图区域*/const series = [] as any[];/*** 计算位置*/for (let i = 0; i < qtrlyCount; i++) {const _leftPoint =((100 - leftPercent - rightPercent) / qtrlyCount) * i + leftPercent;left[i] = _leftPoint;const _rightPoint =((100 - leftPercent - rightPercent) / qtrlyCount) * i + rightPercent;right[qtrlyCount - 1 - i] = _rightPoint; }for (let i = 0; i < qtrlyCount; i++) {/*** title*/title[i] = {left: left[i] + left[1] * 0.4 + '%',subtext: data.quarters[i],bottom: 0};/*** grid*/grid[i] = {left:  left[i] + '%', right: right[i] + '%',bottom: 50,top: 80,gridIndex: i};xAxis[i] = {gridIndex: i,type: 'category',data: data.xAxis[i]};xAxis[i + qtrlyCount] = {gridIndex: i,type: 'category',data: data.xAxis[i],axisTick: {show: false},axisLine: {onZero: false},axisLabel: { show: false }};//用来实现双坐标轴，当前bar用最左坐标轴，line用最右侧坐标轴yAxis[i] = {gridIndex: i,type: 'value',dataType: 'bar', // 标记一下类型，表示后面数据如果是bar则需要对应到对应的yAxisIndex。实际配置中无此参数。axisLabel: { show: i == 0 }, //第一个坐标轴显示数字，后面的不显示axisLine: { show: true },splitLine: { show: true },max: () => yAxisMax,min: () => yAxisMin};//用来实现双坐标轴，当前bar用最左坐标轴，line用最右侧坐标轴yAxis[i + qtrlyCount] = {gridIndex: i,type: 'value',dataType: 'line', // 标记一下类型，表示后面数据如果是line则需要对应到对应的yAxisIndex。实际配置中无此参数。axisLabel: { show: i == qtrlyCount - 1 }, //最后一个坐标轴显示数字，后面的不显示axisLine: { show: true },splitLine: { show: false },max: () => {return 100;}};//为最左侧和最右侧坐标显示单位或类型if (i == 0) {yAxis[i] = {...yAxis[i],name: 'QTY' //添加单位};}if (i == qtrlyCount - 1) {yAxis[i + qtrlyCount] = {...yAxis[i + qtrlyCount],name: '%'};}series.push({name: data.series?.[site][0].name,data: data.series?.[site][0].data[i],type: 'bar',xAxisIndex: i,yAxisIndex: i,color: 'blue'});series.push({name: data.series?.[site2][0].name,data: data.series?.[site2][0].data[i],type: 'bar',xAxisIndex: i,yAxisIndex: i,color: 'red'});series.push({name: data.series?.[site][1].name,data: data.series?.[site][1].data[i],type: 'line',xAxisIndex: i,yAxisIndex: i + qtrlyCount,color: 'green'});series.push({name: data.series?.[site2][1].name,data: data.series?.[site2][1].data[i],type: 'line',xAxisIndex: i,yAxisIndex: i + qtrlyCount,color: 'orange'});}title.push({ left: 'center', top: 0, text: titleText });return {toolbox: {show: true,feature: {dataZoom: {yAxisIndex: 'none',title: {zoom: '区域缩放',back: '区域缩放还原'}},saveAsImage: {title: '保存为图片'}}},legend: {show: true,top: 40,data: data.legend},title,tooltip: { trigger: 'axis' },xAxis,yAxis,grid,series};
};
const data = {quarters: ['2023Q2', '2023Q3', '2023Q4', '2024Q1'],xAxis: [['2023M04', '2023M05', '2023M06'],['2023M07', '2023M08', '2023M09'],['2023M10', '2023M11', '2023M12'],['2024M01', '2024M02', '2024M03']],legend: ['CamIn (Test1)','CamIn (Test2)','Final Yield (Test1)','Final Yield (Test2)'],series: {test1: [{factory: 'Test1hou',name: 'CamIn (Test1)',type: 'bar',data: [[5323451, 32411232, 14323414],[15133835, 25333835, 3432342],[37233835, 1513835, 17913835],[4317244, 3245234, 12334234]]},{factory: 'Test1hou',name: 'Final Yield (Test1)',type: 'line',data: [[12, 32,43],[32, 34, 64],[73, 65, 96.30],[96.90,76, 72]]}],test2: [{factory: 'Penang',name: 'CamIn (Test2)',type: 'bar',data: [[5323321, 3241132, 34334314],[12133335, 12543835, 3432342],[12234435, 2513835, 4213835],[4317244, 1245234, 42334234]]},{factory: 'Penang',name: 'Final Yield (Test2)',type: 'line',data: [[52, 52,83],[42, 74, 94],[83, 75, 69],[90,86, 72]]}]}
} as any;option = qtrlyOption(data, '这一个季度的测试数据');