public void Test_Heatmap_AutoScaling()
{
// https://github.com/ScottPlot/ScottPlot/issues/1485
double[,] intensities = new double[100, 100];
for (int i = 0; i < 100; i++)
{
for (int j = 0; j < 100; j++)
{
intensities[i, j] = (Math.Sin(i * .2) + Math.Cos(j * .2)) * 100;
}
}
var plt = new ScottPlot.Plot(500, 400);
var hmap = plt.AddHeatmap(intensities, ScottPlot.Drawing.Colormap.Viridis, lockScales: false);
hmap.Interpolation = InterpolationMode.Bicubic;
var cbar = plt.AddColorbar(hmap);
double[] tickPositions = ScottPlot.DataGen.Range(-150, 150, 50, true);
string[] tickLabels = tickPositions.Select(x => x.ToString()).ToArray();
cbar.SetTicks(tickPositions, tickLabels, -200, 200);
plt.Margins(0, 0);
TestTools.SaveFig(plt);
}
public void Test_Heatmap_Interpolation()
{
// see discussion in https://github.com/ScottPlot/ScottPlot/issues/1003
// Interpolation doesn't seem to work on Linux or MacOS in Azure Pipelines
if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows) == false)
{
return;
}
Random rand = new(0);
double[,] data = ScottPlot.DataGen.Random2D(rand, 4, 5);
var plt = new ScottPlot.Plot(300, 300);
var hm = plt.AddHeatmap(data, lockScales: false);
plt.SetAxisLimits(0, data.GetLength(1), 0, data.GetLength(0));
TestTools.SaveFig(plt, "default");
string hash1 = ScottPlot.Tools.BitmapHash(plt.Render());
hm.Smooth = true;
TestTools.SaveFig(plt, "smooth");
string hash2 = ScottPlot.Tools.BitmapHash(plt.Render());
Assert.AreNotEqual(hash1, hash2);
}
public void Test_Heatmap_ManualScaling()
{
// The goal is to span the whole colormap only over values 0-200
// even though the original data has many values outside this range.
// https://github.com/ScottPlot/ScottPlot/issues/1485
double[,] intensities = new double[100, 100];
for (int i = 0; i < 100; i++)
{
for (int j = 0; j < 100; j++)
{
intensities[i, j] = (Math.Sin(i * .2) + Math.Cos(j * .2)) * 100;
}
}
var plt = new ScottPlot.Plot(500, 400);
var cmap = ScottPlot.Drawing.Colormap.Viridis;
var hmap = plt.AddHeatmap(intensities, cmap, lockScales: false);
hmap.Interpolation = InterpolationMode.Bicubic;
hmap.ScaleMin = 0;
hmap.Update(intensities, cmap, min: 0, max: 200); // intentionally cut-off data
Console.WriteLine(hmap.ScaleMin);
double[] tickPositions = ScottPlot.DataGen.Range(0, 200, 25, true);
string[] tickLabels = tickPositions.Select(x => x.ToString()).ToArray();
var cbar = plt.AddColorbar(hmap);
cbar.SetTicks(tickPositions, tickLabels, 0, 200);
plt.Margins(0, 0);
TestTools.SaveFig(plt);
}
