static void HistogramExample()
{
var rnd = new Random();
var plot = Plot.Linear("Frequency", "Joyness");
plot.Histogram(Uniform(rnd, 15, 5, 250, 3));
Snel.Show(plot, "A box plot");
}
static void BoxPlotExample()
{
var rnd = new Random();
var plot = BoxPlotting.PrepareBoxPlot(new[] { "OxySnel", "SloomPlot" }, "Package", "Joyness");
BoxPlotting.BoxPlot(plot, new[] { Uniform(rnd, 15, 5, 80, 3), Uniform(rnd, 10, 8, 50, 3) });
Snel.Show(plot, "A box plot").ContinueWith(t => t.Result.Model.ShowMenu = false);
}
static void QuickAndEasyExamples()
{
var rnd = new Random();
// generate random data
var xs = Enumerable.Range(0, 101).Select(i => (double)i).ToList();
var ys1 = xs.Select(x => x + x * rnd.NextDouble()).ToList();
var ys2 = xs.Select(x => x * 1.4 + x * rnd.NextDouble() * 0.2).ToList();
// time plot
var timePlot = Plot.Linear("Time", "Swans");
timePlot.Scatter(xs, ys1);
timePlot.Line(xs, ys2);
Snel.Show(timePlot, "Swans over time");
// sample plot
var samplePlot = Plot.Linear("Value", "Frequency");
samplePlot.Histogram(ys1);
Snel.Show(samplePlot, "Swans");
// matrix plot
var matrixPlot = Plot.Linear("Col", "Row");
matrixPlot.PlotModel.PlotType = PlotType.Cartesian;
foreach (var a in matrixPlot.PlotModel.Axes)
{
if (a is LinearAxis la)
{
la.MinimumMinorStep = la.MinimumMajorStep = 1;
}
}
matrixPlot.LinearColorAxis(null, OxyPalettes.Hot64);
matrixPlot.Matrix(Array2d(100, 100, (x, y) => Math.Sin(Math.Sqrt(x * x + y * y) / 10)), null);
Snel.Show(matrixPlot);
}