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72Echarts - 散点图(Clustering Process)

杨林伟 发布时间:2019-04-30 16:52:51 ,浏览量:1

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 = [ [3.275154, 2.957587], [-3.344465, 2.603513], [0.355083, -3.376585], [1.852435, 3.547351], [-2.078973, 2.552013], [-0.993756, -0.884433], [2.682252, 4.007573], [-3.087776, 2.878713], [-1.565978, -1.256985], [2.441611, 0.444826], [-0.659487, 3.111284], [-0.459601, -2.618005], [2.17768, 2.387793], [-2.920969, 2.917485], [-0.028814, -4.168078], [3.625746, 2.119041], [-3.912363, 1.325108], [-0.551694, -2.814223], [2.855808, 3.483301], [-3.594448, 2.856651], [0.421993, -2.372646], [1.650821, 3.407572], [-2.082902, 3.384412], [-0.718809, -2.492514], [4.513623, 3.841029], [-4.822011, 4.607049], [-0.656297, -1.449872], [1.919901, 4.439368], [-3.287749, 3.918836], [-1.576936, -2.977622], [3.598143, 1.97597], [-3.977329, 4.900932], [-1.79108, -2.184517], [3.914654, 3.559303], [-1.910108, 4.166946], [-1.226597, -3.317889], [1.148946, 3.345138], [-2.113864, 3.548172], [0.845762, -3.589788], [2.629062, 3.535831], [-1.640717, 2.990517], [-1.881012, -2.485405], [4.606999, 3.510312], [-4.366462, 4.023316], [0.765015, -3.00127], [3.121904, 2.173988], [-4.025139, 4.65231], [-0.559558, -3.840539], [4.376754, 4.863579], [-1.874308, 4.032237], [-0.089337, -3.026809], [3.997787, 2.518662], [-3.082978, 2.884822], [0.845235, -3.454465], [1.327224, 3.358778], [-2.889949, 3.596178], [-0.966018, -2.839827], [2.960769, 3.079555], [-3.275518, 1.577068], [0.639276, -3.41284] ]; var clusterNumber = 6; // See https://github.com/ecomfe/echarts-stat var step = ecStat.clustering.hierarchicalKMeans(data, clusterNumber, true); var result; option = { timeline: { top: 'center', right: 35, height: 300, width: 10, inverse: true, playInterval: 2500, symbol: 'none', orient: 'vertical', axisType: 'category', autoPlay: true, label: { normal: { show: false } }, data: [] }, baseOption: { title: { text: 'Process of Clustering', subtext: 'By ecStat.hierarchicalKMeans', sublink: 'https://github.com/ecomfe/echarts-stat', left: 'center' }, xAxis: { type: 'value' }, yAxis: { type: 'value' }, series: [{ type: 'scatter' }] }, options: [] }; for(var i = 0; !(result = step.next()).isEnd; i++) { option.options.push(getOption(result, clusterNumber)); option.timeline.data.push(i + ''); } function getOption(result, k) { var clusterAssment = result.clusterAssment; var centroids = result.centroids; var ptsInCluster = result.pointsInCluster; var color = ['#c23531', '#2f4554', '#61a0a8', '#d48265', '#91c7ae', '#749f83', '#ca8622', '#bda29a', '#6e7074', '#546570', '#c4ccd3']; var series = []; for(i = 0; i < k; i++) { series.push({ name: 'scatter' + i, type: 'scatter', animation: false, data: ptsInCluster[i], markPoint: { symbolSize: 29, label: { normal: { show: false }, emphasis: { show: true, position: 'top', formatter: function(params) { return Math.round(params.data.coord[0] * 100) / 100 + ' ' + Math.round(params.data.coord[1] * 100) / 100 + ' '; }, textStyle: { color: '#000' } } }, itemStyle: { normal: { opacity: 0.7 } }, data: [{ coord: centroids[i] }] } }); } return { tooltip: { trigger: 'axis', axisPointer: { type: 'cross' } }, series: series, color: color }; } myChart.setOption(option);
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