■ 누적 확률 히스토그램 차트를 만드는 방법을 보여준다.
▶ MainForm.cs
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using System; using System.Linq; using System.Windows.Forms; using ScottPlot; using ScottPlot.Statistics; namespace TestProject { /// <summary> /// 메인 폼 /// </summary> public partial class MainForm : Form { //////////////////////////////////////////////////////////////////////////////////////////////////// Constructor ////////////////////////////////////////////////////////////////////////////////////////// Public #region 생성자 - MainForm() /// <summary> /// 생성자 /// </summary> public MainForm() { InitializeComponent(); Plot plot = new Plot(800, 600); Random random = new Random(0); double[] valueArray1 = DataGen.RandomNormal(random, pointCount : 1000, mean : 50, stdDev : 20); double[] valueArray2 = DataGen.RandomNormal(random, pointCount : 1000, mean : 45, stdDev : 25); (double[] histogramArray1, double[] binEdgeArray) = Common.Histogram(valueArray1, min : 0, max : 100, binSize : 1, density : true); (double[] histogramArray2, _ ) = Common.Histogram(valueArray2, min : 0, max : 100, binSize : 1, density : true); double[] cphArray1 = Common.CumulativeSum(histogramArray1); double[] cphArray2 = Common.CumulativeSum(histogramArray2); double[] leftEdgeArray = binEdgeArray.Take(binEdgeArray.Length - 1).ToArray(); plot.AddScatterStep(xs : leftEdgeArray, ys : cphArray1, label : "샘플 A"); plot.AddScatterStep(xs : leftEdgeArray, ys : cphArray2, label : "샘플 B"); plot.Title("누적 확률 히스토그램"); plot.Legend(); plot.XAxis.Label("확률(분수)"); plot.YAxis.Label("값(단위)"); plot.SetAxisLimits(yMin : 0, yMax : 1); this.formsPlot.Reset(plot); this.formsPlot.Refresh(); } #endregion } } |
