public DoubleSeries GetDampedSinewave(int pad, double amplitude, double phase, double dampingFactor, int pointCount, int freq = 10)
{
var doubleSeries = new DoubleSeries();
for (int i = 0; i < pad; i++)
{
double time = 10 * i / (double)pointCount;
doubleSeries.Add(new XYPoint()
{
X = time
});
}
for (int i = pad, j = 0; i < pointCount; i++, j++)
{
var xyPoint = new XYPoint();
double time = 10 * i / (double)pointCount;
double wn = 2 * Math.PI / (pointCount / (double)freq);
xyPoint.X = time;
xyPoint.Y = amplitude * Math.Sin(j * wn + phase);
doubleSeries.Add(xyPoint);
amplitude *= (1.0 - dampingFactor);
}
return(doubleSeries);
}
public DoubleSeries GetClusteredPoints(double xCentre, double yCentre, double deviation, int count)
{
var doubleSeries = new DoubleSeries();
for (int i = 0; i < count; i++)
{
double x = GetGaussianRandomNumber(xCentre, deviation);
double y = GetGaussianRandomNumber(yCentre, deviation);
doubleSeries.Add(new XYPoint()
{
X = x, Y = y
});
}
return(doubleSeries);
}
public DoubleSeries GetStraightLine(double gradient, double yIntercept, int pointCount)
{
var doubleSeries = new DoubleSeries(pointCount);
for (int i = 0; i <= pointCount; i++)
{
double x = i + 1;
double y = gradient * x + yIntercept;
doubleSeries.Add(new XYPoint()
{
X = x, Y = y
});
}
return(doubleSeries);
}
public DoubleSeries GetRandomDoubleSeries(int pointCount)
{
var doubleSeries = new DoubleSeries();
double amplitude = _random.NextDouble() + 0.5;
double freq = Math.PI * (_random.NextDouble() + 0.5) * 10;
double offset = _random.NextDouble() - 0.5;
for (int i = 0; i < pointCount; i++)
{
doubleSeries.Add(new XYPoint()
{
X = i, Y = offset + amplitude * Math.Sin(freq * i)
});
}
return(doubleSeries);
}
public DoubleSeries GetLissajousCurve(double alpha, double beta, double delta, int count = 200)
{
// From http://en.wikipedia.org/wiki/Lissajous_curve
// x = Asin(at + d), y = Bsin(bt)
var doubleSeries = new DoubleSeries(count);
for (int i = 0; i < count; i++)
{
double x = Math.Sin(alpha * i * 0.1 + delta);
double y = Math.Sin(beta * i * 0.1);
doubleSeries.Add(new XYPoint()
{
X = x, Y = y
});
}
return(doubleSeries);
}
public DoubleSeries GetExponentialCurve(double power, int pointCount)
{
var doubleSeries = new DoubleSeries(pointCount);
double x = 0.00001;
const double fudgeFactor = 1.4;
for (int i = 0; i < pointCount; i++)
{
x *= fudgeFactor;
double y = Math.Pow((double)i + 1, power);
doubleSeries.Add(new XYPoint()
{
X = x, Y = y
});
}
return(doubleSeries);
}
public DoubleSeries GetRandomWalkSeries(int count)
{
var doubleSeries = new DoubleSeries(count);
// Generate a slightly positive biased random walk
// y[i] = y[i-1] + random,
// where random is in the range -0.5, +0.5
for (int i = 0; i < count; i++)
{
double next = _last + (_random.NextDouble() - 0.5 + _bias);
_last = next;
doubleSeries.Add(new XYPoint()
{
X = _i++, Y = next
});
}
return(doubleSeries);
}
public DoubleSeries GenerateSpiral(double xCentre, double yCentre, double maxRadius, int count)
{
var doubleSeries = new DoubleSeries();
double radius = 0;
double x, y;
double deltaRadius = maxRadius / count;
for (int i = 0; i < count; i++)
{
double sinX = Math.Sin(2 * Math.PI * i * 0.05);
double cosX = Math.Cos(2 * Math.PI * i * 0.05);
x = xCentre + radius * sinX;
y = yCentre + radius * cosX;
doubleSeries.Add(new XYPoint()
{
X = x, Y = y
});
radius += deltaRadius;
}
return(doubleSeries);
}
public DoubleSeries GetButterflyCurve(int count = 2000)
{
// From http://en.wikipedia.org/wiki/Butterfly_curve_%28transcendental%29
// x = sin(t) * (e^cos(t) - 2cos(4t) - sin^5(t/12))
// y = cos(t) * (e^cos(t) - 2cos(4t) - sin^5(t/12))
var temp = 0.01;
var doubleSeries = new DoubleSeries(count);
for (int i = 0; i < count; i++)
{
var t = i * temp;
double multiplier = Math.Pow(Math.E, Math.Cos(t)) - 2 * Math.Cos(4 * t) - Math.Pow(Math.Sin(t / 12), 5);
double x = Math.Sin(t) * multiplier;
double y = Math.Cos(t) * multiplier;
doubleSeries.Add(new XYPoint {
X = x, Y = y
});
}
return(doubleSeries);
}
public DoubleSeries GenerateEEG(int count, ref double startPhase, double phaseStep)
{
var doubleSeries = new DoubleSeries();
var rand = new Random((int)DateTime.Now.Ticks);
for (int i = 0; i < count; i++)
{
var xyPoint = new XYPoint();
var time = i / (double)count;
xyPoint.X = time;
//double mod = 0.2 * Math.Sin(startPhase);
xyPoint.Y = //mod * Math.Sin(startPhase / 4.9) +
0.05 * (rand.NextDouble() - 0.5) +
1.0;
doubleSeries.Add(xyPoint);
startPhase += phaseStep;
}
return(doubleSeries);
}
public DoubleSeries GetSquirlyWave()
{
var doubleSeries = new DoubleSeries();
var rand = new Random((int)DateTime.Now.Ticks);
const int COUNT = 1000;
for (int i = 0; i < COUNT; i++)
{
var xyPoint = new XYPoint();
var time = i / (double)COUNT;
xyPoint.X = time;
xyPoint.Y = time * Math.Sin(2 * Math.PI * i / (double)COUNT) +
0.2 * Math.Sin(2 * Math.PI * i / (COUNT / 7.9)) +
0.05 * (rand.NextDouble() - 0.5) +
1.0;
doubleSeries.Add(xyPoint);
}
return(doubleSeries);
}
public DoubleSeries GetFourierSeriesZoomed(double amplitude, double phaseShift, double xStart, double xEnd, int count = 5000)
{
var data = GetFourierSeries(amplitude, phaseShift, count);
int index0 = 0;
int index1 = 0;
for (int i = 0; i < count; i++)
{
if (data.XData[i] > xStart && index0 == 0)
{
index0 = i;
}
if (data.XData[i] > xEnd && index1 == 0)
{
index1 = i;
break;
}
}
var result = new DoubleSeries();
var xData = data.XData.Skip(index0).Take(index1 - index0).ToArray();
var yData = data.YData.Skip(index0).Take(index1 - index0).ToArray();
for (int i = 0; i < xData.Length; i++)
{
result.Add(new XYPoint()
{
X = xData[i], Y = yData[i]
});
}
return(result);
}
public DoubleSeries GetFourierSeries(double amplitude, double phaseShift, int count = 5000)
{
var doubleSeries = new DoubleSeries();
for (int i = 0; i < count; i++)
{
var xyPoint = new XYPoint();
double time = 10 * i / (double)count;
double wn = 2 * Math.PI / (count / 10);
xyPoint.X = time;
xyPoint.Y = Math.PI * amplitude *
(Math.Sin(i * wn + phaseShift) +
0.33 * Math.Sin(i * 3 * wn + phaseShift) +
0.20 * Math.Sin(i * 5 * wn + phaseShift) +
0.14 * Math.Sin(i * 7 * wn + phaseShift) +
0.11 * Math.Sin(i * 9 * wn + phaseShift) +
0.09 * Math.Sin(i * 11 * wn + phaseShift));
doubleSeries.Add(xyPoint);
}
return(doubleSeries);
}
public DoubleSeries GetAcousticChannel(int channelNumber)
{
if (channelNumber > 7)
{
throw new InvalidOperationException("Only channels 0-7 allowed");
}
if (_acousticPlotData.Count != 0)
{
return(_acousticPlotData[channelNumber]);
}
// e.g. resource format: Abt.Controls.SciChart.Example.Resources.EURUSD_Daily.csv
var csvResource = string.Format("{0}.{1}", ResourceDirectory, "AcousticPlots.csv");
var ch0 = new DoubleSeries(100000);
var ch1 = new DoubleSeries(100000);
var ch2 = new DoubleSeries(100000);
var ch3 = new DoubleSeries(100000);
var ch4 = new DoubleSeries(100000);
var ch5 = new DoubleSeries(100000);
var ch6 = new DoubleSeries(100000);
var ch7 = new DoubleSeries(100000);
var assembly = typeof(DataManager).Assembly;
using (var stream = assembly.GetManifestResourceStream(csvResource))
using (var streamReader = new StreamReader(stream))
{
string line = streamReader.ReadLine();
line = streamReader.ReadLine();
while (line != null)
{
// Line Format:
// Date, Open, High, Low, Close, Volume
// 2007.07.02 03:30, 1.35310, 1.35310, 1.35280, 1.35310, 12
var tokens = line.Split(',');
double x = double.Parse(tokens[0], NumberFormatInfo.InvariantInfo);
double y0 = double.Parse(tokens[1], NumberFormatInfo.InvariantInfo);
double y1 = double.Parse(tokens[2], NumberFormatInfo.InvariantInfo);
double y2 = double.Parse(tokens[3], NumberFormatInfo.InvariantInfo);
double y3 = double.Parse(tokens[4], NumberFormatInfo.InvariantInfo);
double y4 = double.Parse(tokens[5], NumberFormatInfo.InvariantInfo);
double y5 = double.Parse(tokens[6], NumberFormatInfo.InvariantInfo);
double y6 = double.Parse(tokens[7], NumberFormatInfo.InvariantInfo);
double y7 = double.Parse(tokens[8], NumberFormatInfo.InvariantInfo);
ch0.Add(new XYPoint()
{
X = x, Y = y0
});
ch1.Add(new XYPoint()
{
X = x, Y = y1
});
ch2.Add(new XYPoint()
{
X = x, Y = y2
});
ch3.Add(new XYPoint()
{
X = x, Y = y3
});
ch4.Add(new XYPoint()
{
X = x, Y = y4
});
ch5.Add(new XYPoint()
{
X = x, Y = y5
});
ch6.Add(new XYPoint()
{
X = x, Y = y6
});
ch7.Add(new XYPoint()
{
X = x, Y = y7
});
line = streamReader.ReadLine();
}
}
_acousticPlotData.AddRange(new[] { ch0, ch1, ch2, ch3, ch4, ch5, ch6, ch7 });
return(_acousticPlotData[channelNumber]);
}