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74Echarts - 散点图(Exponential Regression)

杨林伟 发布时间:2019-04-30 16:55:50 ,浏览量:3

效果图

在这里插入图片描述

源代码



	
		
		ECharts
		
		
	

	
		
		
// 基于准备好的dom,初始化echarts实例 var myChart = echarts.init(document.getElementById('main')); var option; var data = [ [1, 4862.4], [2, 5294.7], [3, 5934.5], [4, 7171.0], [5, 8964.4], [6, 10202.2], [7, 11962.5], [8, 14928.3], [9, 16909.2], [10, 18547.9], [11, 21617.8], [12, 26638.1], [13, 34634.4], [14, 46759.4], [15, 58478.1], [16, 67884.6], [17, 74462.6], [18, 79395.7] ]; // See https://github.com/ecomfe/echarts-stat var myRegression = ecStat.regression('exponential', data); myRegression.points.sort(function(a, b) { return a[0] - b[0]; }); option = { title: { text: '1981 - 1998 gross domestic product GDP (trillion yuan)', subtext: 'By ecStat.regression', sublink: 'https://github.com/ecomfe/echarts-stat', left: 'center' }, tooltip: { trigger: 'axis', axisPointer: { type: 'cross' } }, xAxis: { type: 'value', splitLine: { lineStyle: { type: 'dashed' } }, splitNumber: 20 }, yAxis: { type: 'value', splitLine: { lineStyle: { type: 'dashed' } } }, series: [{ name: 'scatter', type: 'scatter', label: { emphasis: { show: true, position: 'left', textStyle: { color: 'blue', fontSize: 16 } } }, data: data }, { name: 'line', type: 'line', showSymbol: false, smooth: true, data: myRegression.points, markPoint: { itemStyle: { normal: { color: 'transparent' } }, label: { normal: { show: true, position: 'left', formatter: myRegression.expression, textStyle: { color: '#333', fontSize: 14 } } }, data: [{ coord: myRegression.points[myRegression.points.length - 1] }] } }] }; myChart.setOption(option);
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