正剧开始:
星历2016年02月19日 14:45:06, 银河系厄尔斯星球中华帝国江南行省。
[工程师阿伟]正在和[机器小伟]一起研究饼图。
[人叫板老师]照样用一份体育爱好调查开始了本次功法的指导。
小伟很轻松的给出了解答,并由此产生了饼图绘制的工具:
<span style="font-size:18px;">function myDraw() { var config = new PlotConfiguration(); config.init(); config.setPreference(); config.setSector(1,1,1,1); config.axis2D(0, 0, 180); var stat = new Statistic(); var data = [12,8,5,6,9]; var text = ['乒乓球', '足球', '跳绳', '踢毽', '其它']; pieChart(data, text); } </span>
<span style="font-size:18px;"> /** * @usage 扇形统计图 * @author mw * @date 2016年02月19日 星期五 12:33:05 * @param * @return * */ //扇形统计图 Pie chart this.pieChart = function(d, t) { var colorArray = ['red', 'orange', '#0088FF', 'green', 'cyan', 'blue', '#FF00FF', '#888888', 'black']; var colors = colorArray.length; var data = new Array(); data = d; var text = new Array(); text = t; var itemCount = data.length; var total = 0; for (var i = 0; i < itemCount; i++) { total += data[i]; } var percentArray = []; for (var i = 0; i < itemCount; i++) { percentArray.push(data[i]/total); } //document.write(percentArray); var r = 150; var sAngle = 0, eAngle = 0; var textX, textY; //在饼图右侧绘制图例 var sampX = 200, sampY = -150; for (var i = 0; i < itemCount; i++) { if (i == 0) { sAngle = 0; eAngle = 0; } eAngle -= Math.PI*2*percentArray[i]; plot.setFillStyle(colorArray[i%colors]); shape.fillRect(sampX, sampY, 50, 20); plot.beginPath() .moveTo(0, 0) .arc(0, 0, r, sAngle, eAngle, 1) .closePath() .fill(); if (percentArray[i] > 0.05) { textX = 0.6*r*Math.cos((sAngle+eAngle)/2); textY = 0.6*r*Math.sin((sAngle+eAngle)/2); } else { textX = 1.2*r*Math.cos((sAngle+eAngle)/2); textY = 1.2*r*Math.sin((sAngle+eAngle)/2)+20; } plot.setFillStyle('black') .fillText(text[i], textX-30, textY-10, 100) .fillText((percentArray[i]*100).toFixed(2)+'%', textX-30, textY+10, 100); plot.fillText(text[i], sampX+30, sampY+5, 100); sampY += 30; sAngle -= Math.PI*2*percentArray[i]; //document.write(sAngle, '-->', eAngle, '-->'); } }</span>
既然有了工具,就要好好地使用一番。
<span style="font-size:18px;">function myDraw() { var config = new PlotConfiguration(); config.init(); config.setPreference(); config.setSector(1,1,1,1); //config.axis2D(0, 0, 180); var stat = new Statistic(); var data = [87,3.3,4,5,0.7]; var text = ['水分', '蛋白质', '脂肪', '乳糖', '其它']; stat.pieChart(data, text); }</span>
<span style="font-size:18px;">>>> b = [87, 3.3,4,5,0.7]; >>> for i in range(len(b)): print(250*b[i]/100); 217.5 8.25 10.0 12.5 1.75 </span>
<span style="font-size:18px;">function myDraw() { var config = new PlotConfiguration(); config.init(); config.setPreference(); config.setSector(1,1,1,1); //config.axis2D(0, 0, 180); var stat = new Statistic(); var data = [25,20,15,15,25]; var text = ['杨树', '柳树', '松树', '槐树', '其它']; stat.pieChart(data, text); }</span>
<span style="font-size:18px;">//直方图 function myDraw() { var config = new PlotConfiguration(); config.init(); config.setPreference(); //config.setSector(1,1,1,1); //config.axis2D(0, 0, 180); var stat = new Statistic(); var data = [100,120,150,170,200]; var text = ['2007', '2008', '2009', '2010', '2011']; stat.init(data, '年份', '总量/棵', 1); stat.histogram(text, 0, 0); }</span>
<span style="font-size:18px;">//折线图 function myDraw() { var config = new PlotConfiguration(); config.init(); config.setPreference(); //config.setSector(1,1,1,1); //config.axis2D(0, 0, 180); var stat = new Statistic(); var data = [[100],[120],[150],[170],[200]]; var text = ['2007', '2008', '2009', '2010', '2011']; stat.init(data, '年份', '总量/棵', 1); stat.multiLineGraph(text, ['树木'], 0, 0); }</span>
<span style="font-size:18px;">function myDraw() { var config = new PlotConfiguration(); config.init(); config.setPreference(); config.setSector(1,1,1,1); //config.axis2D(0, 0, 180); var stat = new Statistic(); var data = [33.82,33.43,14.82,12.03,5.9]; var text = ['幼龄木', '中龄木', '近熟林', '成熟林', '过熟林']; stat.pieChart(data, text); }</span>
<span style="font-size:18px;">function myDraw() { var config = new PlotConfiguration(); config.init(); config.setPreference(); config.setSector(1,1,1,1); //config.axis2D(0, 0, 180); var stat = new Statistic(); var data = [30, 30,15,10,5,10]; var text = ['食品','房贷', '教育', '服装', '水电', '其他']; stat.pieChart(data, text); }</span>
<span style="font-size:18px;">//复式直方图 function myDraw() { var config = new PlotConfiguration(); config.init(); config.setPreference(); //config.setSector(1,1,1,1); //config.axis2D(0, 0, 180); var stat = new Statistic(); var data = [[6347.19,2335.77],[8650.03,4757.52],[10440.94,6911.90]]; var text = ['1990', '2000', '2010']; stat.init(data, '年份', '人口数/万', 2); //stat.multiHistogram(text, ['总长驻人口', '城镇长住人口'], 0, 0); stat.multiLineGraph(text, ['总长驻人口', '城镇长住人口'], 0, 0); } </span>
<span style="font-size:18px;">function myDraw() { var config = new PlotConfiguration(); config.init(); config.setPreference(); config.setSector(1,1,1,1); //config.axis2D(0, 0, 180); var stat = new Statistic(); var data = [15.7,32.6,16.6,13.5,21.6]; var text = ['城市', '草地', '林地', '耕地', '难利用']; stat.pieChart(data, text); } </span>
一口气画了这么多图,小伟觉得很满意。
本节到此结束,欲知后事如何,请看下回分解。