public void ExecuteRecipe(Plot plt)
{
Random rand = new Random(0);
int[] xs = DataGen.RandomNormal(rand, 10000, 25, 10).Select(x => (int)x).ToArray();
int[] ys = DataGen.RandomNormal(rand, 10000, 25, 10).Select(y => (int)y).ToArray();
double[,] intensities = Tools.XYToIntensities(mode: IntensityMode.Gaussian,
xs: xs, ys: ys, width: 50, height: 50, sampleWidth: 4);
var hm = plt.AddHeatmap(intensities);
var cb = plt.AddColorbar(hm);
}
public void ExecuteRecipe(Plot plt)
{
double?[,] intensities =
{
{ 1, 7, 4, null },
{ 9, null, 2, 4 },
{ 1, 4, null, 8 },
{ null, 2, 4, null }
};
var hmc = plt.AddHeatmap(intensities);
var cb = plt.AddColorbar(hmc);
}
public void ExecuteRecipe(Plot plt)
{
double[,] intensities = new double[100, 100];
for (int x = 0; x < 100; x++)
{
for (int y = 0; y < 100; y++)
{
intensities[x, y] = (Math.Sin(x * .2) + Math.Cos(y * .2)) * 100;
}
}
var hm = plt.AddHeatmap(intensities, Drawing.Colormap.Turbo);
var cb = plt.AddColorbar(hm);
}
public void ExecuteRecipe(Plot plt)
{
double[,] imageData = DataGen.SampleImageData();
var hm = plt.AddHeatmap(imageData, lockScales: false);
hm.ClippingPoints = new Coordinate[]
{
new Coordinate(30, 15),
new Coordinate(55, 40),
new Coordinate(60, 45),
new Coordinate(80, 60),
new Coordinate(40, 95),
new Coordinate(15, 90),
new Coordinate(5, 50),
};
}
public void ExecuteRecipe(Plot plt)
{
double[,] intensities = new double[100, 100];
for (int x = 0; x < 100; x++)
{
for (int y = 0; y < 100; y++)
{
intensities[x, y] = (Math.Sin(x * .2) + Math.Cos(y * .2)) * 100;
}
}
var hm = plt.AddHeatmap(intensities);
hm.Update(intensities, min: 0, max: 200);
var cb = plt.AddColorbar(hm);
}
public void ExecuteRecipe(Plot plt)
{
int width = 100;
int height = 100;
double[,] intensities = new double[width, height];
for (int x = 0; x < width; x++)
{
for (int y = 0; y < height; y++)
{
intensities[x, y] = (Math.Sin(x * .2) + Math.Cos(y * .2)) * 100;
}
}
var hm = plt.AddHeatmap(intensities);
var cb = plt.AddColorbar(hm);
}
public void ExecuteRecipe(Plot plt)
{
double[,] intensities = new double[100, 100];
for (int x = 0; x < 100; x++)
{
for (int y = 0; y < 100; y++)
{
intensities[x, y] = (Math.Sin(x * .2) + Math.Cos(y * .2)) * 100;
}
}
// scale the colors between 0 and 200
var hm = plt.AddHeatmap(intensities);
hm.Update(intensities, min: 0, max: 200);
// add a colorbar with custom ticks
var cb = plt.AddColorbar(hm);
double[] tickPositions = ScottPlot.DataGen.Range(0, 200, 25, true);
string[] tickLabels = tickPositions.Select(x => x.ToString()).ToArray();
cb.SetTicks(tickPositions, tickLabels, min: 0, max: 200);
}
public void ExecuteRecipe(Plot plt)
{
double[,] imageData = DataGen.SampleImageData();
plt.AddHeatmap(imageData);
}
public static void PlotHeatmapImage(Plot plt, Colormap cmap)
{
double[,] intensities = DataGen.SampleImageData();
plt.Clear();
plt.AddHeatmap(intensities, cmap);
}