public string Figure_66_CPH()
{
string name = System.Reflection.MethodBase.GetCurrentMethod().Name.Replace("Figure_", "");
string fileName = System.IO.Path.GetFullPath($"{outputFolderName}/{name}.png");
Random rand = new Random(0);
double[] values1 = ScottPlot.DataGen.RandomNormal(rand, pointCount: 1000, mean: 50, stdDev: 20);
double[] values2 = ScottPlot.DataGen.RandomNormal(rand, pointCount: 1000, mean: 45, stdDev: 25);
var hist1 = new ScottPlot.Histogram(values1, min: 0, max: 100);
var hist2 = new ScottPlot.Histogram(values2, min: 0, max: 100);
var plt = new ScottPlot.Plot(width, height);
plt.Title("Cumulative Probability Histogram");
plt.YLabel("Probability (fraction)");
plt.XLabel("Value (units)");
plt.PlotStep(hist1.bins, hist1.cumulativeFrac, lineWidth: 1.5, label: "sample A");
plt.PlotStep(hist2.bins, hist2.cumulativeFrac, lineWidth: 1.5, label: "sample B");
plt.Legend();
plt.Axis(null, null, 0, 1);
plt.SaveFig(fileName);
Console.WriteLine($"Saved: {System.IO.Path.GetFileName(fileName)}");
return(name + ":" + ScottPlot.Tools.BitmapHash(plt.GetBitmap()));
}
public static void CreateHistogram(string methodName, double[] redrawTimes)
{
var hist = new ScottPlot.Histogram(redrawTimes);
var pltHist = new ScottPlot.Plot();
pltHist.Title(methodName.Replace("_", " ") + $" ({redrawTimes.Length} runs)");
pltHist.YLabel("count");
pltHist.XLabel("render time (ms)");
pltHist.PlotBar(hist.bins, hist.counts);
pltHist.SaveFig(methodName + "_benchmark.png");
}
private void PlotResults(double[] timesMsec)
{
double mean = timesMsec.Sum() / timesMsec.Length;
Array.Sort(timesMsec);
double median = timesMsec[(int)(timesMsec.Length / 2)];
var hist = new ScottPlot.Histogram(timesMsec);
scottPlotUC2.plt.Clear();
scottPlotUC2.plt.PlotBar(hist.bins, hist.counts);
scottPlotUC2.plt.PlotVLine(mean, lineWidth: 3, label: "mean");
scottPlotUC2.plt.PlotVLine(median, lineWidth: 3, label: "median", lineStyle: ScottPlot.LineStyle.Dot);
scottPlotUC2.plt.Legend();
scottPlotUC2.plt.AxisAuto();
scottPlotUC2.plt.Axis(y1: 0);
scottPlotUC2.plt.YLabel("Count");
scottPlotUC2.plt.XLabel("Render Time (ms)");
scottPlotUC2.plt.Title($"Median: {median} ms");
scottPlotUC2.Render();
}
public string Figure_65_Histogram()
{
string name = System.Reflection.MethodBase.GetCurrentMethod().Name.Replace("Figure_", "");
string fileName = System.IO.Path.GetFullPath($"{outputFolderName}/{name}.png");
Random rand = new Random(0);
double[] values1 = ScottPlot.DataGen.RandomNormal(rand, pointCount: 1000, mean: 50, stdDev: 20);
var hist1 = new ScottPlot.Histogram(values1, min: 0, max: 100);
var plt = new ScottPlot.Plot(width, height);
plt.Title("Histogram");
plt.YLabel("Count (#)");
plt.XLabel("Value (units)");
plt.PlotBar(hist1.bins, hist1.counts, barWidth: 1);
plt.Axis(null, null, 0, null);
plt.SaveFig(fileName);
Console.WriteLine($"Saved: {System.IO.Path.GetFileName(fileName)}");
return(name + ":" + ScottPlot.Tools.BitmapHash(plt.GetBitmap()));
}
private void PlotHistogram()
{
double?min = (double)nudMin.Value;
double?max = (double)nudMax.Value;
if (cbMinAuto.Checked)
{
min = null;
}
if (cbMaxAuto.Checked)
{
max = null;
}
double?binSize = (double)nudBinSize.Value;
double?binCount = (double)nudBinCount.Value;
if (cbBinSizeAuto.Checked)
{
binSize = null;
}
if (cbBinCountAuto.Checked)
{
binCount = null;
}
// ignore binCount if both binSize and binCount are given
if ((binSize != null) && (binCount != null))
{
binCount = null;
}
bool ignoreOutOfBounds = cbIgnoreOutOfBounds.Checked;
var hist = new ScottPlot.Histogram(values, min, max, binSize, binCount, ignoreOutOfBounds);
binSize = hist.bins[1] - hist.bins[0];
if (nudMin.Enabled == false)
{
nudMin.Value = (decimal)hist.bins[0];
}
if (nudMax.Enabled == false)
{
nudMax.Value = (decimal)(hist.bins[hist.bins.Length - 1] + binSize);
}
if (nudBinSize.Enabled == false)
{
nudBinSize.Value = (decimal)binSize;
}
if (nudBinCount.Enabled == false)
{
nudBinCount.Value = (decimal)hist.bins.Length;
}
lbBins.Items.Clear();
foreach (double bin in hist.bins)
{
lbBins.Items.Add(bin.ToString());
}
if (cbCount.Checked)
{
PlotHistogramCount(hist.bins, hist.counts);
}
else if (cbNorm.Checked)
{
PlotHistogramFrac(hist.bins, hist.countsFrac);
}
else if (cbCph.Checked)
{
PlotHistogramCumulative(hist.bins, hist.cumulativeFrac);
}
}
