public void ExecuteRecipe(Plot plt)
{
double[,] imageData = DataGen.SampleImageData();
var hm = plt.AddHeatmap(imageData, lockScales: false);
hm.XMin = -100;
hm.XMax = 100;
hm.YMin = -10;
hm.YMax = 10;
}
public void Render(Plot plt)
{
double[,] imageData = DataGen.SampleImageData();
//This could be applied more usefully to an image pertinent to the data
//For example a map of the world, if your data is about geographic phenomenon
Bitmap background = new Bitmap("Images/niceBackground.bmp");
plt.PlotHeatmap(imageData, transparencyThreshold: 20, backgroundImage: background);
}
public void ExecuteRecipe(Plot plt)
{
double[,] imageData = DataGen.SampleImageData();
var heatmap = plt.AddHeatmap(imageData);
heatmap.Update(imageData, min: 75, max: 125);
var cb = plt.AddColorbar(heatmap);
// configure the colorbar to display inequality operators at the edges
cb.MaxIsClipped = true;
cb.MinIsClipped = true;
}
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 static void PlotHeatmapImage(Plot plt, Colormap cmap)
{
double[,] intensities = DataGen.SampleImageData();
plt.Clear();
plt.PlotHeatmap(intensities, cmap);
}
public void ExecuteRecipe(Plot plt)
{
double[,] imageData = DataGen.SampleImageData();
plt.AddHeatmap(imageData);
}
public void Render(Plot plt)
{
double[,] imageData = DataGen.SampleImageData();
plt.PlotHeatmap(imageData);
}
