public void ExecuteRecipe(Plot plt)
{
double[,] data2D = { { 1, 2, 3 },
{ 4, 5, 6 } };
var hm = plt.AddHeatmap(data2D);
var cb = plt.AddColorbar(hm);
}
public void ExecuteRecipe(Plot plt)
{
var cb = plt.AddColorbar();
cb.AddTick(0, "-123");
cb.AddTick(1, "+123");
cb.AddTick(.5, "0");
cb.AddTick(.25, "-61.5");
cb.AddTick(.75, "+61.5");
}
public void ExecuteRecipe(Plot plt)
{
double[,] data2D = { { 1, 2, 3 },
{ 4, 5, 6 } };
var hm = plt.AddHeatmap(data2D, lockScales: false);
var cb = plt.AddColorbar(hm);
plt.Margins(0, 0);
}
public void ExecuteRecipe(Plot plt)
{
plt.AddColorbar(Drawing.Colormap.Turbo);
// direct attention to the colorbar
var text = plt.AddText("Colorbar", 5, 0, 24, Color.Red);
text.Alignment = Alignment.MiddleRight;
plt.AddArrow(7, 0, 5, 0, color: Color.Red);
plt.SetAxisLimits(-10, 10, -10, 10);
}
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)
{
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)
{
var cb = plt.AddColorbar(Drawing.Colormap.Turbo);
cb.MinValue = -10;
cb.MaxValue = 10;
cb.MinIsClipped = true;
cb.MaxIsClipped = true;
// direct attention to the colorbar
var text = plt.AddText("Colorbar", 5, 0, 24, Color.Red);
text.Alignment = Alignment.MiddleRight;
plt.AddArrow(7, 0, 5, 0, color: Color.Red);
plt.SetAxisLimits(-10, 10, -10, 10);
}
public void ExecuteRecipe(Plot plt)
{
var cmap = ScottPlot.Drawing.Colormap.Viridis;
plt.AddColorbar(cmap);
Random rand = new(0);
for (int i = 0; i < 1000; i++)
{
double x = ScottPlot.DataGen.RandomNormalValue(rand, mean: 0, stdDev: .5);
double y = ScottPlot.DataGen.RandomNormalValue(rand, mean: 0, stdDev: .5);
double colorFraction = Math.Sqrt(x * x + y * y);
System.Drawing.Color c = ScottPlot.Drawing.Colormap.Viridis.GetColor(colorFraction);
plt.AddPoint(x, y, c);
}
}
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)
{
var cb = plt.AddColorbar(Drawing.Colormap.Turbo);
// Add manual ticks (disabling automatic ticks)
cb.AddTick(0, "-123");
cb.AddTick(1, "+123");
cb.AddTick(.5, "0");
cb.AddTick(.25, "-61.5");
cb.AddTick(.75, "+61.5");
// To re-enable automatic ticks call cb.AutomaticTicks(true)
// direct attention to the colorbar
var text = plt.AddText("Colorbar", 5, 0, 24, Color.Red);
text.Alignment = Alignment.MiddleRight;
plt.AddArrow(7, 0, 5, 0, color: Color.Red);
plt.SetAxisLimits(-10, 10, -10, 10);
}
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)
{
plt.AddColorbar();
}
public void ExecuteRecipe(Plot plt)
{
plt.AddColorbar(rightSide: false);
}
public void ExecuteRecipe(Plot plt)
{
plt.AddColorbar(Drawing.Colormap.Turbo);
}
