public void ExecuteRecipe(Plot plt)
{
Random rand = new Random(0);
int pointCount = 1_000_000;
double[] sine = DataGen.Sin(pointCount, 3);
double[] noise = DataGen.RandomNormal(rand, pointCount, 0, 0.5);
double[] ys = sine.Zip(noise, (s, n) => s + n).ToArray();
double[] xs = new double[pointCount];
double currentX = 0;
for (int i = 0; i < pointCount; i++)
{
if ((i % 100000) < 10)
{
currentX += 10;
}
else
{
currentX += 0.0001;
}
xs[i] = currentX;
}
plt.AddSignalXY(xs, ys);
}
public void ExecuteRecipe(Plot plt)
{
(double[] xs, double[] ys) = DataGen.RandomWalk2D(new Random(0), 5_000);
var sig = plt.AddSignalXY(xs, ys);
sig.OffsetX = 10_000;
sig.OffsetY = 100;
}
public void ExecuteRecipe(Plot plt)
{
(double[] xs, double[] ys) = DataGen.RandomWalk2D(new Random(0), 5_000);
var sigxy = plt.AddSignalXY(xs, ys);
sigxy.FillBelow();
plt.Margins(x: 0);
}
public void ExecuteRecipe(Plot plt)
{
(double[] xs, double[] ys) = DataGen.RandomWalk2D(new Random(0), 5_000);
var sigxy = plt.AddSignalXY(xs, ys);
sigxy.StepDisplay = true;
sigxy.MarkerSize = 0;
plt.SetAxisLimits(110, 140, 17.5, 27.5);
}
public void ExecuteRecipe(Plot plt)
{
var rand = new Random(0);
double[] ys = DataGen.RandomWalk(rand, 200);
double[] xs = DataGen.Consecutive(200);
var sig = plt.AddSignalXY(xs, ys);
sig.MarkerShape = MarkerShape.filledTriangleUp;
sig.MarkerSize = 10;
plt.SetAxisLimits(100, 120, 10, 15);
}
public void ExecuteRecipe(Plot plt)
{
var rand = new Random(0);
int pointCount = 1_000_000;
double[] sine = DataGen.Sin(pointCount, 3);
double[] noise = DataGen.RandomNormal(rand, pointCount, 0, 0.5);
double[] ys = sine.Zip(noise, (s, n) => s + n).ToArray();
double[] xs = Enumerable.Range(0, pointCount)
.Select(x => (double)x)
.Select(x => x > 500_000 ? x + 1_000_000 : x)
.Select(x => x > 200_000 ? x + 100_000 : x)
.ToArray();
plt.AddSignalXY(xs, ys);
}
public void ExecuteRecipe(Plot plt)
{
// generate random, unevenly-spaced data
Random rand = new Random(0);
int pointCount = 100_000;
double[] ys = new double[pointCount];
double[] xs = new double[pointCount];
for (int i = 1; i < ys.Length; i++)
{
ys[i] = ys[i - 1] + rand.NextDouble() - .5;
xs[i] = xs[i - 1] + rand.NextDouble();
}
plt.AddSignalXY(xs, ys);
}
public void ExecuteRecipe(Plot plt)
{
Random rand = new(0);
int pointCount = 5_000;
double[] sine = DataGen.Sin(pointCount, 3);
double[] noise = DataGen.RandomNormal(rand, pointCount, 0, 0.5);
double[] ys = sine.Zip(noise, (s, n) => s + n).ToArray();
double[] xs = new double[pointCount];
double x = 0;
for (int i = 0; i < pointCount; i++)
{
bool lowDensityPoint = (i % 1_000) < 10;
x += lowDensityPoint ? 10 : .05;
xs[i] = x;
}
plt.AddSignalXY(xs, ys);
}
public void ExecuteRecipe(Plot plt)
{
(double[] xs, double[] ys) = DataGen.RandomWalk2D(new Random(0), 5_000);
plt.AddSignalXY(xs, ys);
}
