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": "1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,17,9,2,3,3,2,1,4,7,9,29,30,42,32,25,48,33,41,33,38,36,29,28,33,23,15,20,43,18,19,12,13,7,5,7,2,3,1,2,1,0,0,0,2,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1",
"stdev": "3325.93"
}
},
"idx": 1
}, {
"data": {
"boxplot": {
"q1": "49032.00",
"q3": "65280.00",
"median": "55040.00",
"mean": "59582.43",
"lower": "24660.00",
"upper": "89652.00"
},
"stdplot": {
"xaxis": "804,2410,4016,5622,7228,8835,10441,12047,13653,15259,16866,18472,20078,21684,23290,24897,26503,28109,29715,31321,32928,34534,36140,37746,39352,40959,42565,44171,45777,47383,48990,50596,52202,53808,55414,57021,58627,60233,61839,63445,65052,66658,68264,69870,71476,73083,74689,76295,77901,79507,81114,82720,84326,85932,87538,89145,90751,92357,93963,95569,97176,98782,100388,101994,103600,105207,106813,108419,110025,111631,113238,114844,116450,118056,119662,121269,122875,124481,126087,127693,129300,130906,132512,134118,135724,137331,138937,140543,142149,143755,145362,146968,148574,150180,151786,153393,154999,156605,158211,159817",
"mean": "59582.43",
"lower": "-20382.83",
"upper": "139547.69",
"yaxis": "3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0,1,0,5,3,5,5,2,5,2,3,4,3,0,4,1,0,1,0,1,0,1,1,0,0,2,0,0,1,0,2,0,1,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1",
"stdev": "26655.09"
}
},
"idx": 6
}, {
"data": {
"boxplot": {
"q1": "14130.00",
"q3": "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": "914,2740,4567,6394,8221,10047,11874,13701,15528,17355,19181,21008,22835,24662,26488,28315,30142,31969,33796,35622,37449,39276,41103,42929,44756,46583,48410,50237,52063,53890,55717,57544,59370,61197,63024,64851,66678,68504,70331,72158,73985,75811,77638,79465,81292,83119,84945,86772,88599,90426,92253,94079,95906,97733,99560,101386,103213,105040,106867,108694,110520,112347,114174,116001,117827,119654,121481,123308,125135,126961,128788,130615,132442,134268,136095,137922,139749,141576,143402,145229,147056,148883,150709,152536,154363,156190,158017,159843,161670,163497,165324,167150,168977,170804,172631,174458,176284,178111,179938,181765",
"mean": "72367.75",
"lower": "2215.91",
"upper": "142519.60",
"yaxis": "4,0,0,2,0,0,1,0,1,0,0,3,0,0,0,1,2,0,0,0,1,1,1,3,5,4,8,13,16,14,9,15,10,13,9,16,10,12,14,16,10,9,10,12,12,14,7,4,3,9,8,9,8,8,3,2,3,4,5,5,4,3,2,1,2,1,1,0,1,2,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1",
"stdev": "23383.95"
}
},
"idx": 4
}, {
"data": {
"boxplot": {
"q1": "3429920.00",
"q3": "3429920.00",
"median": "3429920.00",
"mean": "3429920.00",
"lower": "3429920.00",
"upper": "3429920.00"
},
"stdplot": {
"xaxis": "3429920",
"mean": "3429920.00",
"lower": "3429920.00",
"upper": "3429920.00",
"yaxis": "1",
"stdev": "0.00"
}
},
"idx": 8
}, {
"data": {
"boxplot": {
"q1": "306932.00",
"q3": "630336.00",
"median": "396162.00",
"mean": "450303.46",
"lower": "-178174.00",
"upper": "1115442.00"
},
"stdplot": {
"xaxis": "5763,17287,28812,40337,51862,63387,74912,86437,97962,109487,121012,132537,144062,155587,167112,178636,190161,201686,213211,224736,236261,247786,259311,270836,282361,293886,305411,316936,328461,339985,351510,363035,374560,386085,397610,409135,420660,432185,443710,455235,466760,478285,489810,501334,512859,524384,535909,547434,558959,570484,582009,593534,605059,616584,628109,639634,651159,662684,674208,685733,697258,708783,720308,731833,743358,754883,766408,777933,789458,800983,812508,824033,835557,847082,858607,870132,881657,893182,904707,916232,927757,939282,950807,962332,973857,985382,996906,1008431,1019956,1031481,1043006,1054531,1066056,1077581,1089106,1100631,1112156,1123681,1135206,1146731",
"mean": "450303.46",
"lower": "-320409.39",
"upper": "1221016.31",
"yaxis": "2,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,2,1,1,3,2,0,1,2,0,2,0,1,0,0,0,2,1,0,1,0,1,0,1,0,0,0,0,0,0,1,1,1,1,0,0,1,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1",
"stdev": "256904.28"
}
},
"idx": 7
}, {
"data": {
"boxplot": {
"q1": "25633.00",
"q3": "38221.00",
"median": "31039.00",
"mean": "31347.89",
"lower": "6751.00",
"upper": "57103.00"
},
"stdplot": {
"xaxis": "687,2059,3432,4805,6178,7551,8923,10296,11669,13042,14415,15787,17160,18533,19906,21279,22651,24024,25397,26770,28143,29515,30888,32261,33634,35007,36379,37752,39125,40498,41871,43243,44616,45989,47362,48735,50107,51480,52853,54226,55599,56971,58344,59717,61090,62463,63835,65208,66581,67954,69327,70699,72072,73445,74818,76191,77563,78936,80309,81682,83055,84427,85800,87173,88546,89919,91291,92664,94037,95410,96783,98155,99528,100901,102274,103647,105019,106392,107765,109138,110511,111883,113256,114629,116002,117375,118747,120120,121493,122866,124239,125611,126984,128357,129730,131103,132475,133848,135221,136594",
"mean": "31347.89",
"lower": "-2573.71",
"upper": "65269.49",
"yaxis": "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>本文参与 腾讯云自媒体分享计划，分享自作者个人站点/博客。
原始发表：2019-04-15 ，如有侵权请联系 cloudcommunity@tencent.com 删除
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