echarts展示箱型图&正态分布曲线
效果图：
直接上代码吧：
<!DOCTYPE HTML> <html> <head> <style type="text/css"> #main { height: 500px; border: 1px red solid; width: 100%; } #main1 { height: 500px; border: 1px red solid; width: 100%; } #main2 { height: 500px; border: 1px red solid; width: 100%; } #box1 { border: 1px #E8E8E8 solid; overflow: hidden; float: left; width: 99%; } #box2 { border: 1px #E8E8E8 solid; overflow: hidden; float: right; width: 49%; } #box4 { border: 1px #E8E8E8 solid; height: 550px; } .child { height: 330px; width: 49%; border: 1px #778899 solid; float: left; } .child1 { height: 330px; width: 49%; border: 1px #778899 solid; float: right; } .top { width: 99%; text-align: center; margin-top: 20px; float: left; } .mid { border: 1px black solid; float: left; margin-top: 10px; width: 100%; } </style> <script src="https://cdn.bootcss.com/jquery/1.12.0/jquery.min.js"></script> <script src="https://cdn.bootcss.com/echarts/3.0.2/echarts.min.js"></script> <script type="text/javascript"> function fun(x, u, a) { return (1 / Math.sqrt(2 * Math.PI) * a) * Math.exp(-1 * ((x - u) * (x - u)) / (2 * a * a)); } function addParam(arr, target) { //是否是等于 var flag = false; var target = parseFloat(target); //最小 if (target < parseFloat(arr[0])) { arr.unshift(target.toString()); return arr; } //最大 if (target > parseFloat(arr[arr.length - 1])) { arr.push(target.toString()); return arr; } //中间 for (var i = 0; i < arr.length; i++) { if (parseFloat(arr[i]) > target) { if (arr[i - 1] == target) flag = true; break; } } if (flag) { return arr; } else { arr.splice(i, 0, target.toString()); return arr; } } function getTop(arr) { var maxIndex = 0; for (var i = 0; i < arr.length; i++) { maxIndex = parseFloat(arr[i]) > parseFloat(arr[maxIndex]) ? i : maxIndex; } return parseFloat(arr[maxIndex]); } function getParam(low, mean, up, top) { var res = {}; res['low'] = low; res['mean'] = mean; res['up'] = up; res['top'] = top; return res; } $(function() { var myChart1 = echarts.init(document.getElementById('box1')); // debugger var datas = [{ "data": { "boxplot": { "q1": "5043.00", "q3": "9296.00", "median": "7063.00", "mean": "7248.59", "lower": "-1336.50", "upper": "15675.50" }, "stdplot": { "xaxis": "-6486,-6103,-5720,-5337,-4954,-4571,-4188,-3805,-3422,-3039,-2656,-2273,-1890,-1507,-1124,-741,-358,25,408,791,1174,1557,1940,2323,2706,3090,3473,3856,4239,4622,5005,5388,5771,6154,6537,6920,7303,7686,8069,8452,8835,9218,9601,9984,10367,10750,11133,11516,11899,12282,12666,13049,13432,13815,14198,14581,14964,15347,15730,16113,16496,16879,17262,17645,18028,18411,18794,19177,19560,19943,20326,20709,21092,21475,21858,22242,22625,23008,23391,23774,24157,24540,24923,25306,25689,26072,26455,26838,27221,27604,27987,28370,28753,29136,29519,29902,30285,30668,31051,31434", "mean": "7248.59", "lower": "-2729.19", "upper": "17226.37", "yaxis": 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"19868.00", "median": "16686.00", "mean": "17212.80", "lower": "5523.00", "upper": "28475.00" }, "stdplot": { "xaxis": "351,1051,1751,2452,3152,3852,4553,5253,5953,6654,7354,8054,8755,9455,10155,10856,11556,12256,12957,13657,14358,15058,15758,16459,17159,17859,18560,19260,19960,20661,21361,22061,22762,23462,24162,24863,25563,26263,26964,27664,28365,29065,29765,30466,31166,31866,32567,33267,33967,34668,35368,36068,36769,37469,38169,38870,39570,40270,40971,41671,42372,43072,43772,44473,45173,45873,46574,47274,47974,48675,49375,50075,50776,51476,52176,52877,53577,54277,54978,55678,56379,57079,57779,58480,59180,59880,60581,61281,61981,62682,63382,64082,64783,65483,66183,66884,67584,68284,68985,69685", "mean": "17212.80", "lower": "-1088.38", "upper": "35513.99", "yaxis": "7,1,0,1,1,1,1,1,0,1,1,1,1,3,4,7,16,24,30,20,35,33,33,28,38,21,27,23,27,20,19,12,13,6,6,7,5,2,1,2,2,0,0,0,2,0,1,1,1,0,2,0,1,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1", "stdev": "6100.40" } }, "idx": 3 }, { "data": { "boxplot": { "q1": "122899.00", "q3": "193020.00", "median": "144330.00", "mean": "158987.64", "lower": "17717.50", "upper": "298201.50" }, "stdplot": { "xaxis": "11657,14573,17490,20406,23323,26240,29156,32073,34989,37906,40823,43739,46656,49573,52489,55406,58322,61239,64156,67072,69989,72906,75822,78739,81655,84572,87489,90405,93322,96238,99155,102072,104988,107905,110822,113738,116655,119571,122488,125405,128321,131238,134155,137071,139988,142904,145821,148738,151654,154571,157488,160404,163321,166237,169154,172071,174987,177904,180820,183737,186654,189570,192487,195404,198320,201237,204153,207070,209987,212903,215820,218737,221653,224570,227486,230403,233320,236236,239153,242069,244986,247903,250819,253736,256653,259569,262486,265402,268319,271236,274152,277069,279986,282902,285819,288735,291652,294569,297485,300402", "mean": "158987.64", "lower": "6189.34", "upper": "311785.94", "yaxis": "1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,2,0,2,1,1,1,0,2,5,4,4,9,6,5,6,5,6,4,4,6,4,4,3,3,3,2,0,2,3,2,2,0,2,2,2,1,3,2,1,1,2,2,1,1,2,1,0,1,2,2,0,3,2,0,1,0,1,0,0,0,1,1,0,1,0,1,2,0,0,2,0,0,0,1", "stdev": "50932.77" } }, "idx": 5 }, { "data": { "boxplot": { "q1": "97340.00", "q3": "97340.00", "median": "97340.00", "mean": "97340.00", "lower": "97340.00", "upper": "97340.00" }, "stdplot": { "xaxis": "97340", "mean": "97340.00", "lower": "97340.00", "upper": "97340.00", "yaxis": "1", "stdev": "0.00" } }, "idx": 9 }, { "data": { "boxplot": { "q1": "57222.00", "q3": "86283.00", "median": "70943.00", "mean": "72367.75", "lower": "13630.50", "upper": "129874.50" }, "stdplot": { "xaxis": 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"11,1,4,2,2,3,2,1,2,3,1,2,2,7,8,9,28,26,28,38,30,27,35,23,25,28,21,23,21,20,20,13,14,17,8,2,7,4,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1", "stdev": "11307.20" } }, "idx": 2 }, { "data": { "boxplot": { "q1": "1072.00", "q3": "61673.00", "median": "22848.00", "mean": "149013.77", "lower": "-89829.50", "upper": "152574.50" }, "stdplot": { "xaxis": "-4748361,-3093483,-1438605,216273,1871151,3526029,5180908,6835785,8490663,10145541,11800419,13455297,15110175,16765054,18419931,20074809,21729688,23384565,25039443,26694321,28349199,30004077,31658955,33313833,34968711,36623589,38278467,39933346,41588223,43243101,44897979,46552857,48207735,49862614,51517491,53172369,54827247,56482125,58137003,59791881,61446759,63101637,64756515,66411393,68066271,69721149,71376027,73030905,74685783,76340661,77995539,79650417,81305295,82960173,84615051,86269930,87924807,89579685,91234563,92889441,94544319,96199197,97854075,99508953,101163831,102818709,104473587,106128466,107783343,109438221,111093099,112747977,114402855,116057733,117712611,119367489,121022367,122677245,124332123,125987001,127641880,129296757,130951635,132606513,134261391,135916269,137571147,139226025,140880903,142535781,144190659,145845537,147500415,149155293,150810171,152465049,154119927,155774805,157429683,159084561", "mean": "149013.77", "lower": "-3277437.09", "upper": "3575464.62", "yaxis": "1,3,4,33557,1143,79,19,8,4,2,2,5,3,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1", "stdev": "1142150.28" } }, "idx": 0 }]; for (var i = 0; i < datas.length; i++) { $("#box1").append("<div class='mid'></div>") $("#box1").append("<div class='top' id='" + "top" + i + "'><h2>簇_" + datas[i].idx + "</h2></div>") $("#box1").append("<div class='child' id='" + "child" + i + "'></div>") var myChart = echarts.init(document.getElementById("child" + i)); var testData = []; var data = []; data.push(datas[i].data.boxplot.lower); data.push(datas[i].data.boxplot.q1); data.push(datas[i].data.boxplot.median); data.push(datas[i].data.boxplot.q3); data.push(datas[i].data.boxplot.upper); testData.push(data); var xdata = [datas[i].idx]; var option = { title: [{ text: 'upper: Q3 + 1.5 * IRQ \nlower: Q1 - 1.5 * IRQ', borderColor: '#999', borderWidth: 1, textStyle: { fontSize: 14 }, left: '10%', top: '85%' }], tooltip: { trigger: 'item', //触发类型,数据项图形触发，主要在散点图，饼图等无类目轴的图表中使用。 axisPointer: { //指示器类型。 type: 'shadow' } }, grid: { //直角坐标系网格。 //show: true,//default: false left: '15%', right: '15%', bottom: '23%', //borderWidth: 1, //borderColor: '#000', }, xAxis: { //X轴 type: 'category', //'category' 类目轴，适用于离散的类目数据，为该类型时必须通过 data 设置类目数据。 //data: data.axisData, data: xdata, boundaryGap: true, //类目轴中 boundaryGap 可以配置为 true 和 false。默认为 true，这时候刻度只是作为分隔线，标签和数据点都会在两个刻度之间的带(band)中间。 nameGap: 30, //坐标轴名称与轴线之间的距离。 splitArea: { //坐标轴在 grid 区域中的分隔区域，默认不显示。 //show: true, //是否显示分隔区域 //interval: 'auto', //坐标轴分隔区域的显示间隔，在类目轴中有效 }, axisLabel: { //坐标轴刻度标签的相关设置。 //formatter: 'expr {value}', // 使用字符串模板，模板变量为刻度默认标签 {value} show: true, //是否显示刻度标签。 //interval: 'auto', //坐标轴刻度标签的显示间隔，在类目轴中有效。 color: 'black', }, splitLine: { //坐标轴在 grid 区域中的分隔线。 show: true, //是否显示分隔线。默认数值轴显示，类目轴不显示。 lineStyle: { //分隔线样式 type: 'dashed', //分隔线线的类型。 }, }, axisLine: { //坐标轴轴线相关设置。 show: true, //是否显示坐标轴轴线。 //onZero:false,//X 轴或者 Y 轴的轴线是否在另一个轴的 0 刻度上，只有在另一个轴为数值轴且包含 0 刻度时有效。 //symbol:'arrow', //轴线两边的箭头, 默认不显示箭头，即 'none' lineStyle: { //轴线样式 width: 2, color: 'black', //opacity: 1, //图形透明度。支持从 0 到 1 的数字，为 0 时不绘制该图形。 }, }, axisTick: { //坐标轴刻度相关设置。 show: true, //是否显示坐标轴刻度。 //alignWithLabel: true,//类目轴中在 boundaryGap 为 true 的时候有效，可以保证刻度线和标签对齐,default: false } }, yAxis: { //y轴 type: 'value', splitArea: { //坐标轴在 grid 区域中的分隔区域，默认不显示。 //show: true }, axisLabel: { //坐标轴刻度标签的相关设置。 //formatter: 'expr {value}', // 使用字符串模板，模板变量为刻度默认标签 {value} show: true, //是否显示刻度标签。 //interval: 'auto', //坐标轴刻度标签的显示间隔，在类目轴中有效。 color: 'black', }, splitLine: { show: true, lineStyle: { type: 'dashed' }, }, axisLine: { show: true, //是否显示坐标轴轴线。 //onZero:false,//X 轴或者 Y 轴的轴线是否在另一个轴的 0 刻度上，只有在另一个轴为数值轴且包含 0 刻度时有效。 //symbol:'arrow', //轴线两边的箭头 lineStyle: { width: 2, color: 'black', }, }, }, series: [{ name: 'boxplot', //箱形图 type: 'boxplot', //legendHoverLink: true, //是否启用图例 hover 时的联动高亮。 //hoverAnimation: false, //是否开启 hover 在 box 上的动画效果。 itemStyle: { //盒须图样式。 //color: '#fff', //boxplot图形的颜色。 默认从全局调色盘 option.color 获取颜色 borderColor: 'blue', //boxplot图形的描边颜色。支持的颜色格式同 color，不支持回调函数。 }, data: testData, tooltip: { //注意：series.tooltip 仅在 tooltip.trigger 为 'item' 时有效。 formatter: function(param) { return [ '簇名: ' + param.name, '上边缘: ' + param.data[5], '上四分位数: ' + param.data[4], '中位数: ' + param.data[3], '下四分位数: ' + param.data[2], '下边缘: ' + param.data[1] ].join('<br/>') } } }] }; myChart.setOption(option); $("#box1").append("<div class='child1' id='" + "child1" + i + "'></div>") var myChart = echarts.init(document.getElementById("child1" + i)); var yArr = []; var xArr = []; //debugger 0.04,0.13,0.35,0.7,0.35,0.13,0.04 var mean = parseFloat(datas[i].data.stdplot.mean); var stdev = parseFloat(datas[i].data.stdplot.stdev); var x = datas[i].data.stdplot.xaxis.split(','); var y = datas[i].data.stdplot.yaxis.split(',') var low = mean - 3 * stdev; var up = mean + 3 * stdev; x = addParam(x, low.toFixed(0).toString()); x = addParam(x, mean.toFixed(0).toString()); x = addParam(x, up.toFixed(0).toString()); //var top = getTop(y); var top = (1 / Math.sqrt(2 * Math.PI) * stdev); var mar = getParam(low.toFixed(0).toString(), mean.toFixed(0).toString(), up.toFixed(0).toString(), top); //y.push(parseInt(top)) //var myParam = [low.toFixed(0).toString(),mean.toFixed(0).toString(),up.toFixed(0).toString()]; //debugger //var mar = {'t':'6920'} //debugger for (var j = 0; j < x.length; j++) { var res = fun(x[j], mean, stdev).toFixed(2); yArr.push(res); } // debugger var colors = ['#7CCD7C', '#d14a61', '#675bba']; var option = { color: colors, tooltip: { trigger: 'axis', axisPointer: { type: 'cross' } }, grid: { right: '20%' }, toolbox: { feature: { dataView: { show: true, readOnly: false }, restore: { show: true }, saveAsImage: { show: true } } }, legend: { data: ['原数据频率', '正态分布'] }, xAxis: [{ type: 'category', axisTick: { alignWithLabel: true }, data: x }], yAxis: [{ type: 'value', name: '频率', position: 'right', axisLine: { lineStyle: { color: colors[1] } }, axisLabel: { formatter: '{value}' } }, { type: 'value', position: 'left', axisLine: { lineStyle: { color: colors[0] } }, axisLabel: { formatter: '{value}' } } ], series: [{ name: '原数据频率', type: 'bar', yAxisIndex: 1, data: y }, { name: '正态分布', type: 'line', smooth: true, yAxisIndex: 0, data: yArr }, { name: '平行于y轴的趋势线', type: 'line', //data:[0], markLine: { itemStyle: { //盒须图样式。 color: '#000', //boxplot图形的颜色。 默认从全局调色盘 option.color 获取颜色 //borderColor: 'blue', //boxplot图形的描边颜色。支持的颜色格式同 color，不支持回调函数。 // type: 'solid', normal: { lineStyle: { width: 2, type: 'solid', //'dotted'虚线 'solid'实线 }, label: { show: true, position: 'end', color: 'black', formatter: function(params) { str = "-3μ"; return str }, } } }, name: 'aa', //symbol:'none',//去掉箭头 data: [ [{ coord: [mar.low, 0] }, { coord: [mar.low, mar.top] } //如何获取grid上侧最大值，目前是写死的 ] ] } }, { name: '平行于y轴的趋势线', type: 'line', //data:[0], markLine: { itemStyle: { //盒须图样式。 color: '#000', //boxplot图形的颜色。 默认从全局调色盘 option.color 获取颜色 //borderColor: 'blue', //boxplot图形的描边颜色。支持的颜色格式同 color，不支持回调函数。 // type: 'solid', normal: { lineStyle: { width: 2, type: 'solid', //'dotted'虚线 'solid'实线 }, label: { show: true, position: 'end', color: 'black', formatter: function(params) { str = "MEAN"; return str }, } } }, name: 'bb', // symbol:'none',//去掉箭头 data: [ [{ coord: [mar.mean, 0] }, { coord: [mar.mean, mar.top] } //如何获取grid上侧最大值，目前是写死的 ] ] } }, { name: '平行于y轴的趋势线', type: 'line', //data:[0], markLine: { itemStyle: { //盒须图样式。 color: '#000', //boxplot图形的颜色。 默认从全局调色盘 option.color 获取颜色 //borderColor: 'blue', //boxplot图形的描边颜色。支持的颜色格式同 color，不支持回调函数。 // type: 'solid', normal: { lineStyle: { width: 2, type: 'solid', //'dotted'虚线 'solid'实线 }, label: { show: true, position: 'end', color: 'black', formatter: function(params) { str = "3μ"; return str }, } } }, name: 'cc', yAxisIndex: 0, // symbol:'none',//去掉箭头 data: [ [{ coord: [mar.up, 0] }, { coord: [mar.up, mar.top] } //如何获取grid上侧最大值，目前是写死的 ] ] } }, ] }; myChart.setOption(option); } }); </script> </head> <body> <div> <div id="box1"></div> </div> </body> </html>
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