public override XyData GetRandomPoints(int count)
{
if (_xyData == null)
{
_xyData = base.GetRandomPoints(count);
return(_xyData);
}
IList <double> xData = (IList <double>)_xyData.XData;
IList <double> yData = (IList <double>)_xyData.YData;
for (int i = 0; i < xData.Count; i++)
{
xData[i] = xData[i] + _random.NextDouble() - 0.5;
yData[i] = yData[i] + _random.NextDouble() - 0.5;
}
return(_xyData);
}
public XyData GetRandomLinesSeries(int count)
{
var doubleSeries = new XyData();
doubleSeries.XData = new List <double>();
doubleSeries.YData = new List <double>();
// 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++)
{
var next = Next();
((IList <double>)doubleSeries.XData).Add(next.X);
((IList <double>)doubleSeries.YData).Add(next.Y);
}
return(doubleSeries);
}
public override XyData GetRandomPoints(int count)
{
if (_xyData == null)
{
_xyData = base.GetRandomPoints(count);
}
var xData = (IList <double>)_xyData.XData;
var yData = (IList <double>)_xyData.YData;
for (int i = 0; i < xData.Count; i++)
{
double v1 = _random.NextDouble(), v2 = _random.NextDouble();
xData[i] = MapX(v1, v2);
yData[i] = MapY(v1, v2);
}
return(_xyData);
}
