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Make HistogramExamples deterministic #1584

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Jonarw merged 1 commit into from
May 31, 2020
Merged

Make HistogramExamples deterministic #1584

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12 changes: 6 additions & 6 deletions Source/Examples/ExampleLibrary/Series/HistogramSeriesExamples.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -124,7 +124,7 @@ public static PlotModel CreateExponentialDistribution(double mean = 1, int n = 1

var binningOptions = new BinningOptions(BinningOutlierMode.CountOutliers, BinningIntervalType.InclusiveLowerBound, BinningExtremeValueMode.ExcludeExtremeValues);
var binBreaks = HistogramHelpers.CreateUniformBins(0, 5, 15);
chs.Items.AddRange(HistogramHelpers.Collect(SampleExps(rnd, 1.0, n), binBreaks, binningOptions));
chs.Items.AddRange(HistogramHelpers.Collect(SampleExps(rnd, mean, n), binBreaks, binningOptions));
chs.StrokeThickness = 1;
model.Series.Add(chs);

Expand All @@ -137,12 +137,12 @@ public static PlotModel CreateExponentialDistributionCustomBins(double mean = 1,
model.Axes.Add(new LinearAxis { Position = AxisPosition.Left, Title = "Frequency" });
model.Axes.Add(new LinearAxis { Position = AxisPosition.Bottom, Title = "x" });

Random rnd = new Random();
Random rnd = new Random(1);

HistogramSeries chs = new HistogramSeries();

var binningOptions = new BinningOptions(BinningOutlierMode.CountOutliers, BinningIntervalType.InclusiveLowerBound, BinningExtremeValueMode.ExcludeExtremeValues);
chs.Items.AddRange(HistogramHelpers.Collect(SampleExps(rnd, 1.0, n), new double[] { 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.75, 1.0, 2.0, 3.0, 4.0, 5.0 }, binningOptions));
chs.Items.AddRange(HistogramHelpers.Collect(SampleExps(rnd, mean, n), new double[] { 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.75, 1.0, 2.0, 3.0, 4.0, 5.0 }, binningOptions));
chs.StrokeThickness = 1;
chs.FillColor = OxyColors.Purple;
model.Series.Add(chs);
Expand All @@ -156,7 +156,7 @@ public static PlotModel CreateNormalDistribution(double mean = 0, double std = 1
model.Axes.Add(new LinearAxis { Position = AxisPosition.Left, Title = "Frequency" });
model.Axes.Add(new LinearAxis { Position = AxisPosition.Bottom, Title = "x" });

Random rnd = new Random();
Random rnd = new Random(1);

HistogramSeries chs = new HistogramSeries();
var binningOptions = new BinningOptions(BinningOutlierMode.CountOutliers, BinningIntervalType.InclusiveLowerBound, BinningExtremeValueMode.ExcludeExtremeValues);
Expand Down Expand Up @@ -248,9 +248,9 @@ private static IEnumerable<double> SampleNormal(Random rnd, double mean, double
private static double SampleNormal(Random rnd, double mean, double std)
{
// http://en.wikipedia.org/wiki/Box%E2%80%93Muller_transform
var u1 = rnd.NextDouble();
var u1 = 1.0 - rnd.NextDouble();
var u2 = rnd.NextDouble();
return Math.Sqrt(-2 * Math.Log(u1)) * Math.Cos(2 * Math.PI * u2);
return Math.Sqrt(-2 * Math.Log(u1)) * Math.Cos(2 * Math.PI * u2) * std + mean;
}

private static IEnumerable<double> SampleUniform(Random rnd, double min, double max, int count)
Expand Down