散点图
作者:互联网
散点图
散点图可以帮助我们推断出变量之间的相关性
散点图的type是scatter
1> ECharts 最基本的代码结构
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Document</title> <script src="./lib/echarts.min.js"></script> </head> <body> <div id="box" style="width: 600px; height: 400px;"></div> <script> var box=echarts.init(document.getElementById("box")) var option={} box.setOption(option) </script> </body> </html>
2>准备 x 轴和 y 轴的数据(此时模拟的数据较少)
var data = [ { "gender": "female", "height": 161.2, "weight": 50 }, {"gender": "female", "height": 167.5, "weight": 59 }, { "gender": "female","height": 159.5, "weight": 49 }, { "gender": "female", "height": 157,"weight": 63 }, { "gender": "female", "height": 155.8, "weight": 55 }, {"gender": "female", "height": 170, "weight": 59 }, { "gender": "female", "height": 160.2, "weight": 5 }, {"gender": "female", "height": 168.5, "weight": 54 }, { "gender": "female","height": 169.5, "weight": 59 }, { "gender": "female", "height": 157,"weight": 64 }, { "gender": "female", "height": 159.8, "weight": 65 }, {"gender": "female", "height": 162, "weight": 58 } ] var axisData = [] for (var i = 0; i < data.length; i++) { var height = data[i].height; var weight = data[i].weight; var itemArr = [height, weight]; axisData.push(itemArr); }
axisData 就是一个二维数组,数组中的每一个元素还是一个数组,最内层数组中有两个元素,一个代表身高,一个代表体重
3> 准备配置项
xAxis 和 yAxis 的 type 都要设置为 value
在 series 下设置 type:scatter
var option={ xAxis:{ type:'value' }, yAxis:{ type:'value' }, series:[ { type:'scatter', data:axisData } ] }
4>调整配置项, 脱离0值比例
var option={ xAxis:{ type:'value', scale:true }, yAxis:{ type:'value', scale:true }, series:[ { type:'scatter', data:axisData } ] }
标签:weight,gender,散点图,height,female,var,type 来源: https://www.cnblogs.com/keyeking/p/15515362.html