public void Render(Plot plt)
{
int pointCount = 51;
double[] x = DataGen.Consecutive(pointCount);
double[] sin = DataGen.Sin(pointCount);
double[] cos = DataGen.Cos(pointCount);
plt.PlotScatter(x, sin);
plt.PlotScatter(x, cos);
Bitmap image = DataGen.SampleImage();
plt.PlotBitmap(image, 5, 0.8);
plt.AddPoint(5, 0.8, color: Color.Green);
plt.PlotBitmap(image, 20, 0.3);
plt.AddPoint(20, 0.3, color: Color.Black, markerSize: 15);
plt.PlotBitmap(image, 30, 0, alignment: Alignment.MiddleCenter);
plt.AddPoint(30, 0, color: Color.Black, markerSize: 15);
plt.PlotBitmap(image, 30, -0.3, alignment: Alignment.UpperLeft);
plt.AddPoint(30, -0.3, color: Color.Black, markerSize: 15);
plt.PlotBitmap(image, 5, -.5, rotation: -30);
plt.AddPoint(5, -.5, color: Color.Blue, markerSize: 15);
plt.PlotBitmap(image, 15, -.6, frameSize: 3, frameColor: Color.Magenta);
}
public void ExecuteRecipe(Plot plt)
{
// display some sample data
plt.AddSignal(DataGen.Sin(51));
plt.AddSignal(DataGen.Cos(51));
// display an image with 3 different alignments
Bitmap monaLisa = DataGen.SampleImage();
var ip1 = new ScottPlot.Plottable.Image()
{
Bitmap = monaLisa, X = 10
};
var ip2 = new ScottPlot.Plottable.Image()
{
Bitmap = monaLisa, X = 25, Alignment = Alignment.MiddleCenter
};
var ip3 = new ScottPlot.Plottable.Image()
{
Bitmap = monaLisa, X = 40, Alignment = Alignment.LowerRight
};
plt.Add(ip1);
plt.Add(ip2);
plt.Add(ip3);
plt.AddPoint(ip1.X, ip1.Y, Color.Magenta, size: 20);
plt.AddPoint(ip2.X, ip2.Y, Color.Magenta, size: 20);
plt.AddPoint(ip3.X, ip3.Y, Color.Magenta, size: 20);
}
public void Render(Plot plt)
{
int pointCount = 51;
double[] x = DataGen.Consecutive(pointCount);
double[] sin = DataGen.Sin(pointCount);
double[] cos = DataGen.Cos(pointCount);
plt.PlotScatter(x, sin);
plt.PlotScatter(x, cos);
plt.AddPoint(25, 0.8, color: Color.Green);
plt.PlotText(" important point", 25, 0.8, color: Color.Green);
plt.AddPoint(30, 0.3, color: Color.Black, markerSize: 15);
plt.PlotText(" default alignment", 30, 0.3, fontSize: 16, bold: true, color: Color.Magenta);
plt.AddPoint(30, 0, color: Color.Black, markerSize: 15);
plt.PlotText("middle center", 30, 0, fontSize: 16, bold: true, color: Color.Magenta, alignment: Alignment.MiddleCenter);
plt.AddPoint(30, -0.3, color: Color.Black, markerSize: 15);
plt.PlotText("upper left", 30, -0.3, fontSize: 16, bold: true, color: Color.Magenta, alignment: Alignment.UpperLeft);
plt.AddPoint(5, -.5, color: Color.Blue, markerSize: 15);
plt.PlotText(" Rotated Text", 5, -.5, fontSize: 16, color: Color.Blue, bold: true, rotation: -30);
plt.PlotText("Framed Text", 15, -.6, fontSize: 16, color: Color.White, bold: true, frame: true, frameColor: Color.DarkRed);
}
public void ExecuteRecipe(Plot plt)
{
ScottPlot.Alignment[] alignments = (ScottPlot.Alignment[])Enum.GetValues(typeof(ScottPlot.Alignment));
for (int i = 0; i < alignments.Length; i++)
{
double frac = (double)i / alignments.Length;
double x = Math.Sin(frac * Math.PI * 2);
double y = Math.Cos(frac * Math.PI * 2);
var txt = plt.AddText(alignments[i].ToString(), x, y);
txt.Alignment = alignments[i];
txt.Font.Color = Color.Black;;
txt.BackgroundColor = Color.LightSteelBlue;
txt.BackgroundFill = true;
txt.Rotation = 5;
txt.BorderSize = 2;
txt.BorderColor = Color.Navy;
txt.DragEnabled = true;
plt.AddPoint(x, y, Color.Red, 10);
}
plt.Margins(.5, .2);
}
public void ExecuteRecipe(Plot plt)
{
plt.AddSignal(DataGen.Sin(51));
plt.AddSignal(DataGen.Cos(51));
Bitmap monaLisa = DataGen.SampleImage();
plt.AddImage(monaLisa, 10, .5, rotation: 30);
plt.AddPoint(10, .5, color: Color.Magenta, size: 20);
plt.AddImage(monaLisa, 25, 0, rotation: -30);
plt.AddPoint(25, 0, color: Color.Magenta, size: 20);
plt.AddImage(monaLisa, 45, 0, rotation: 30, anchor: Alignment.MiddleCenter);
plt.AddPoint(45, 0, color: Color.Magenta, size: 20);
}
public void ExecuteRecipe(Plot plt)
{
plt.AddSignal(DataGen.Sin(51));
plt.AddSignal(DataGen.Cos(51));
Bitmap monaLisa = DataGen.SampleImage();
plt.AddImage(monaLisa, 10, 0);
plt.AddPoint(10, 0, Color.Magenta, size: 20);
plt.AddImage(monaLisa, 25, 0, anchor: Alignment.MiddleCenter);
plt.AddPoint(25, 0, Color.Magenta, size: 20);
plt.AddImage(monaLisa, 40, 0, anchor: Alignment.LowerRight);
plt.AddPoint(40, 0, Color.Magenta, size: 20);
}
public void Render(Plot plt)
{
int pointCount = 51;
double[] x = DataGen.Consecutive(pointCount);
double[] sin = DataGen.Sin(pointCount);
double[] cos = DataGen.Cos(pointCount);
// draw something to make the plot interesting
plt.PlotScatter(x, sin);
plt.PlotScatter(x, cos);
// add a few points
plt.AddPoint(25, 0.8);
plt.AddPoint(30, 0.3, color: Color.Magenta, markerSize: 15);
}
public void ExecuteRecipe(Plot plt)
{
// display some sample data
plt.AddSignal(DataGen.Sin(51));
plt.AddSignal(DataGen.Cos(51));
Bitmap monaLisa = DataGen.SampleImage();
var img = plt.AddImage(monaLisa, 10, .5);
img.HeightInAxisUnits = 1;
img.WidthInAxisUnits = 30;
// 4 corners of the image remain fixed in coordinate space
plt.AddPoint(10, .5, color: Color.Magenta, size: 20);
plt.AddPoint(40, .5, color: Color.Green, size: 20);
plt.AddPoint(10, -.5, color: Color.Green, size: 20);
plt.AddPoint(40, -.5, color: Color.Green, size: 20);
}
void TakeWidthSurafce()
{
double w, have;
surface.FindSurfaceWidth(out w, out have);
double logsteps = Math.Log10(surface.nAddedParticles);
plotCurveW_t.AddPoint(logsteps, Math.Log10(w));
plotCurvehAve_t.AddPoint(logsteps, Math.Log10(have));
}
public void ExecuteRecipe(Plot plt)
{
plt.AddFunction(x => Math.Pow(x, 2), lineStyle: LineStyle.Dash);
plt.AddFunction(x => Math.Sqrt(x), lineStyle: LineStyle.Dash);
// mark a coordinate from the lower left
var point1 = plt.AddPoint(1, 1, size: 10, shape: MarkerShape.openCircle);
var hLine1 = plt.AddHorizontalLine(1, width: 2);
hLine1.Max = 1;
hLine1.Color = point1.Color;
var vLine1 = plt.AddVerticalLine(1, width: 2);
vLine1.Max = 1;
vLine1.Color = point1.Color;
// use finate upper and lower limits draw a cross on a point
var point2 = plt.AddPoint(4, 2, size: 10, shape: MarkerShape.openCircle);
var vLine2 = plt.AddVerticalLine(4, width: 2);
vLine2.Min = 1.5;
vLine2.Max = 2.5;
vLine2.Color = point2.Color;
var hLine2 = plt.AddHorizontalLine(2, width: 2);
hLine2.Min = 3.5;
hLine2.Max = 4.5;
hLine2.Color = point2.Color;
// mark a coordinate from the top right
var point3 = plt.AddPoint(2, 4, size: 10, shape: MarkerShape.openCircle);
var hLine3 = plt.AddHorizontalLine(4, width: 2);
hLine3.Min = 2;
hLine3.Color = point3.Color;
var vLine3 = plt.AddVerticalLine(2, width: 2);
vLine3.Min = 4;
vLine3.Color = point3.Color;
plt.SetAxisLimits(0, 5, 0, 5);
}
public void ExecuteRecipe(Plot plt)
{
int pointCount = 51;
double[] x = DataGen.Consecutive(pointCount);
double[] sin = DataGen.Sin(pointCount);
double[] cos = DataGen.Cos(pointCount);
plt.AddScatter(x, sin);
plt.AddScatter(x, cos);
plt.AddPoint(25, 0.8, color: Color.Green);
var t1 = plt.AddText(" Important Point (1)", 25, 0.8, 16, Color.Green);
plt.AddPoint(30, 0.3, color: Color.Black, size: 15);
var t2 = plt.AddText(" Default alignment (2)", 30, 0.3, 16);
plt.AddPoint(30, 0, color: Color.Black, size: 15);
var t3 = plt.AddText("Middle center (3)", 30, 0, 16);
t3.Alignment = Alignment.MiddleCenter;
plt.AddPoint(30, -0.3, color: Color.Black, size: 15);
var t4 = plt.AddText("Upper left (4)", 30, -0.3, 16);
t4.Alignment = Alignment.UpperLeft;
plt.AddPoint(5, -.5, color: Color.Blue, size: 15);
var t5 = plt.AddText(" Rotated Text (5)", 5, -.5, 16);
t5.Rotation = -30;
var t6 = plt.AddText(" Filled Background (6)", 15, -.6, 16);
t6.Color = Color.Red;
t6.FontBold = true;
t6.BackgroundFill = true;
t6.BackgroundColor = Color.LightBlue;
}
private static Plot CreateClusterizingPlot(Dictionary <PointF, List <PointF> > data)
{
Plot plot = new Plot();
foreach (KeyValuePair <PointF, List <PointF> > cluster in data)
{
Color color = plot.GetNextColor();
plot.AddPoint(cluster.Key.X, cluster.Key.Y, color, 25);
plot.AddScatterPoints(cluster.Value, color);
}
return(plot);
}
public void ExecuteRecipe(Plot plt)
{
// display some sample data
plt.AddSignal(DataGen.Sin(51));
plt.AddSignal(DataGen.Cos(51));
// place a rotated image on the plot
Bitmap monaLisa = DataGen.SampleImage();
var ip1 = new ScottPlot.Plottable.Image()
{
Bitmap = monaLisa, X = 10, Y = .5, Rotation = 30
};
plt.Add(ip1);
plt.AddPoint(ip1.X, ip1.Y, color: Color.Magenta, size: 20);
}
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 Render(Plot plt)
{
int pointCount = 100;
Random rand = new Random(0);
double[] xs = DataGen.Consecutive(pointCount, 0.1);
double[] ys = DataGen.NoisySin(rand, pointCount);
// optional arguments customize highlighted point color, shape, and size
var sph = plt.PlotScatterHighlight(xs, ys);
// you can clear previously-highlighted points
sph.HighlightPoint(4);
sph.HighlightClear();
// highlight the point nearest an X (or Y) position
plt.PlotVLine(8.123, lineStyle: LineStyle.Dash);
sph.HighlightPointNearestX(8.123);
// or highlight the point nearest another point in 2D space
plt.AddPoint(4.43, 1.48);
sph.HighlightPointNearest(4.43, 1.48);
}
public void ExecuteRecipe(Plot plt)
{
// add sample data
Color clearGray = Color.FromArgb(20, Color.Black);
plt.AddSignal(DataGen.Sin(51), color: clearGray);
plt.AddSignal(DataGen.Cos(51), color: clearGray);
// add a few points around the plot
plt.AddPoint(5, .5);
plt.AddPoint(31, 1);
plt.AddPoint(42, -.25);
// add points using optional arguments for customization
plt.AddPoint(7, .15, Color.Magenta, size: 20, shape: MarkerShape.openDiamond);
plt.AddPoint(23, -1, Color.Navy, size: 20, shape: MarkerShape.filledSquare);
plt.AddPoint(37, .3, Color.Red, size: 20, shape: MarkerShape.triUp);
}
public void Render(Plot plt)
{
Random rand = new Random(0);
plt.PlotErrorBars(
xs: DataGen.Random(rand, 10, 10),
ys: DataGen.Random(rand, 10, 10),
xPositiveError: DataGen.Random(rand, 10),
xNegativeError: DataGen.Random(rand, 10),
yPositiveError: DataGen.Random(rand, 10),
yNegativeError: DataGen.Random(rand, 10),
label: "error bars"
);
var func = new Func <double, double?>((x) => Math.Sin(x) * Math.Sin(10 * x) + 3);
plt.PlotFunction(func, label: "function", lineWidth: 2);
var func2 = new Func <double, double?>((x) => Math.Sin(x) * Math.Sin(10 * x) + 5);
plt.PlotFunction(func2, label: null); // null labels will not appear in legend
plt.PlotHLine(7.75, label: "horizontal line", lineStyle: LineStyle.Dot);
plt.PlotVLine(7.75, label: "vertical line", lineStyle: LineStyle.Dash);
plt.PlotHSpan(1.5, 2.5, label: "horizontal span");
plt.PlotVSpan(1.5, 2.5, label: "vertical span");
plt.PlotOHLC(new OHLC[] {
new OHLC(5, 6, 4, 5.5, 1),
new OHLC(6, 7.5, 3.5, 4.75, 1.5),
new OHLC(5.5, 6, 3, 4.5, 2)
});
plt.PlotCandlestick(new OHLC[] {
new OHLC(5, 6, 4, 5.5, 3),
new OHLC(6, 7.5, 3.5, 4.75, 3.5),
new OHLC(5.5, 6, 3, 4.5, 4)
});
plt.PlotScatter(
xs: new double[] { 5, 5.5, 6, 7, 7, 6 },
ys: new double[] { 7, 8, 7, 9, 7, 8 },
lineStyle: LineStyle.Dash,
lineWidth: 2,
markerShape: MarkerShape.openCircle,
markerSize: 10,
label: "Scatter Plot"
);
plt.PlotSignal(
ys: DataGen.RandomNormal(rand, 10),
sampleRate: 5,
xOffset: 3,
yOffset: 8,
label: "Signal Plot"
);
plt.PlotText("ScottPlot", 6, 6, rotation: 25, fontSize: 14, bold: true);
plt.AddPoint(1, 9, label: "point");
plt.PlotArrow(8, 8, 8.5, 8.5, label: "arrow");
plt.SetAxisLimits(0, 13, -1, 11);
plt.Legend();
plt.Grid(false);
}
public static void Main(string[] args)
{
Plot generatedDataPlot = new Plot();
Spawner spawner = new Spawner(STD_DEV);
List <PointF> allPoints = new List <PointF>();
for (int i = 0; i < CLUSTER_COUNT; ++i)
{
spawner.ResetCenter(MIN_CENTER_DISTANCE, MAX_CENTER_DISTANCE);
PointF[] points = spawner.Spawn(POINT_COUNT);
allPoints.AddRange(points);
Color color = generatedDataPlot.GetNextColor();
generatedDataPlot.AddScatterPoints(points, color, label: $"Points {i + 1}");
generatedDataPlot.AddPoint(spawner.Center.X, spawner.Center.Y, color, 25);
}
generatedDataPlot.Legend();
PlotForm generatedDataPlotForm = new PlotForm(generatedDataPlot, "source_data");
generatedDataPlotForm.ShowDialog();
Plot grayDataPlot = new Plot();
grayDataPlot.AddScatterPoints(allPoints.ToArray(), label: "Gray points");
grayDataPlot.Legend();
PlotForm grayDataPlotForm = new PlotForm(grayDataPlot, "gray_data");
grayDataPlotForm.ShowDialog();
KMeansClusterizer clusterizer = new KMeansClusterizer();
List <Dictionary <PointF, List <PointF> > > clusterizingHistory = clusterizer.Clusterize(allPoints, CLUSTER_COUNT);
PlotForm resultPlotForm = new PlotForm(CreateClusterizingPlot(clusterizingHistory.Last()), "crusterized");
resultPlotForm.ShowDialog();
PlotForm historyForm = new PlotForm(clusterizingHistory.Select(c => CreateClusterizingPlot(c)).ToList(), "history_");
historyForm.ShowDialog();
CentroidLinkage <DataPoint> linkage = new CentroidLinkage <DataPoint>(
new DissimilarityMetric(),
cluster => new DataPoint(
cluster.Average(p => p.X),
cluster.Average(p => p.Y)
)
);
AgglomerativeClusteringAlgorithm <DataPoint> algorithm = new AgglomerativeClusteringAlgorithm <DataPoint>(linkage);
HashSet <DataPoint> dataPoints = allPoints.Select(p => new DataPoint(p)).ToHashSet();
ClusteringResult <DataPoint> clusteringResult = algorithm.GetClustering(dataPoints);
ClusterSet <DataPoint> result = clusteringResult[clusteringResult.Count - 3];
Plot aglomeraPlot = new Plot();
foreach (Cluster <DataPoint> resultCluster in result)
{
Color color = aglomeraPlot.GetNextColor();
aglomeraPlot.AddScatterPoints(
resultCluster.Select(p => (double)p.X).ToArray(),
resultCluster.Select(p => (double)p.Y).ToArray(),
color
);
aglomeraPlot.AddPoint(
resultCluster.Select(p => p.X).Average(),
resultCluster.Select(p => p.Y).Average(),
color, 25
);
}
PlotForm aglomeraForm = new PlotForm(aglomeraPlot, "aglomera");
aglomeraForm.ShowDialog();
clusteringResult.SaveD3DendrogramFile(Environment.CurrentDirectory + "/dendro.json");
Console.ReadLine();
}