散点图:散点图可以帮助我们推断出变量间的相关性。
实现步骤:
(1)Echarts最基本的代码结构:
引入js文件,DOM容器,初始化对象,设置option
(2)x轴数据和y轴的数据:二维数组
数组1:[[身高1,体重1],[身高2,体重2],[身高3,体重3]...]
(3)图表类型:
在series下设置type:scatter
xAxis和yAxis的type都要设置为value
(5)调整:
将坐标轴都设置为脱离0值比例,scale
<div id="main" style="width: 600px;height:400px;"></div> <script type="text/javascript"> // 将data这个数组中的身高体重取出来,变成一个二维数组 var data = [{ ‘gender‘: "fenale", "height": 162.3, "weight": 51.9 }, { ‘gender‘: "fenale", "height": 156.9, "weight": 55.9 }, { ‘gender‘: "fenale", "height": 167.9, "weight": 65 }, { ‘gender‘: "fenale", "height": 162.3, "weight": 51.9 }, { ‘gender‘: "fenale", "height": 182.5, "weight": 61.9 }, { ‘gender‘: "fenale", "height": 187, "weight": 75 }, { ‘gender‘: "fenale", "height": 178.5, "weight": 63 }, { ‘gender‘: "fenale", "height": 184, "weight": 59 }, { ‘gender‘: "fenale", "height": 176, "weight": 52 }, { ‘gender‘: "fenale", "height": 164, "weight": 50 }, ] var axisData = [] for (var i = 0; i < data.length; i++) { var height = data[i].height var weight = data[i].weight var newArr = [height, weight] axisData.push(newArr) } var myChart = echarts.init(document.getElementById(‘main‘)); var option = { xAxis: { type: ‘value‘, scale: true // 摆脱0值比例 }, yAxis: { type: ‘value‘, scale: true // 摆脱0值比例 }, series: [{ type: ‘scatter‘, // 散点图 data: axisData // 数据就是刚才的那个二维数组 }] }; // 步骤5:将配置项设置给echarts实例对象 myChart.setOption(option);
原文:https://www.cnblogs.com/hwy6/p/14191712.html