/// <summary>
/// Calculates actual range
/// </summary>
/// <param name="axis">The axis.</param>
/// <param name="range">The range.</param>
/// <param name="logarithmicBase">The logarithmic base.</param>
/// <returns></returns>
internal static DoubleRange CalculateActualRange(ChartAxis axis, DoubleRange range, double logarithmicBase)
{
if (range.IsEmpty)
{
return(range);
}
double logStart = Math.Log(range.Start, logarithmicBase);
logStart = double.IsInfinity(logStart) || double.IsNaN(logStart) ? range.Start : logStart;
double logEnd = Math.Log(range.End, logarithmicBase);
logEnd = double.IsInfinity(logEnd) || double.IsNaN(logEnd) ? logarithmicBase : logEnd;
double mulS = ChartMath.Round(logStart, 1, false);
double mulE = ChartMath.Round(logEnd, 1, true);
range = new DoubleRange(mulS, mulE);
return(range);
}
/// <summary>
/// Creates the segments of HistogramSeries.
/// </summary>
public override void CreateSegments()
{
List <double> xValues = GetXValues();
int index = 0;
double x1, y1, y2;
float median;
double origin = ActualXAxis != null ? ActualXAxis.Origin : 0;
if (ActualXAxis != null && ActualXAxis.Origin == 0 && ActualYAxis is LogarithmicAxis &&
(ActualYAxis as LogarithmicAxis).Minimum != null)
{
origin = (double)(ActualYAxis as LogarithmicAxis).Minimum;
}
if (xValues != null)
{
Segments.Clear();
ClearUnUsedAdornments(Segments.Count);
ActualYValues.Clear();
List <Point> dataPoints = new List <Point>();
List <ChartSegment> segmentsCollection = new List <ChartSegment>();
for (int i = 0; i < DataCount; i++)
{
dataPoints.Add(new Point(xValues[i], yValues[i]));
}
Array.Sort(dataPoints.ToArray(), new PointsSortByXComparer());
double interval = HistogramInterval;
double start = 0;
if (dataPoints.Count > 0)
{
start = ChartMath.Round(dataPoints[0].X, interval, false);
}
int pointsCount;
double position = start;
int intervalsCount = 0;
List <Point> points = new List <Point>();
List <object> data = new List <object>();
HistogramSegment histogramSegment;
for (int i = 0, ci = dataPoints.Count; i < ci; i++)
{
Point cdpt = dataPoints[i];
while (cdpt.X > position + interval)
{
pointsCount = points.Count;
if (pointsCount > 0)
{
histogramSegment = new HistogramSegment(position, pointsCount, position + interval, 0, this);
histogramSegment.XData = index;
histogramSegment.YData = pointsCount;
histogramSegment.Data = data;
data = new List <object>();
segmentsCollection.Add(histogramSegment);
ActualYValues.Add(pointsCount);
points.Clear();
index++;
}
position += interval;
intervalsCount++;
}
points.Add(dataPoints[i]);
data.Add(ActualData[i]);
}
pointsCount = points.Count;
if (pointsCount > 0)
{
intervalsCount++;
histogramSegment = new HistogramSegment(position, pointsCount, position + interval, 0, this);
histogramSegment.XData = index;
histogramSegment.YData = pointsCount;
histogramSegment.Data = data;
data = new List <object>();
segmentsCollection.Add(histogramSegment);
ActualYValues.Add(pointsCount);
points.Clear();
}
median = (float)interval / 2;
if (AdornmentsInfo != null)
{
for (int i = 0; i < segmentsCollection.Count; i++)
{
x1 = (segmentsCollection[i] as HistogramSegment).XRange.Start;
y1 = (segmentsCollection[i] as HistogramSegment).YData;
y2 = origin;
if (this.AdornmentsInfo.AdornmentsPosition == AdornmentsPosition.Top)
{
AddColumnAdornments(
(segmentsCollection[i] as HistogramSegment).XData,
(segmentsCollection[i] as HistogramSegment).YData,
x1,
y1,
i,
median);
}
else if (this.AdornmentsInfo.AdornmentsPosition == AdornmentsPosition.Bottom)
{
AddColumnAdornments(
(segmentsCollection[i] as HistogramSegment).XData,
(segmentsCollection[i] as HistogramSegment).YData,
x1,
y2,
i,
median);
}
else
{
AddColumnAdornments(
(segmentsCollection[i] as HistogramSegment).XData,
(segmentsCollection[i] as HistogramSegment).YData,
x1,
y1 + (y2 - y1) / 2,
i,
median);
}
}
}
#region Normal Distribution
if (ShowNormalDistributionCurve)
{
double m, dev;
GetHistogramMeanAndDeviation(dataPoints, out m, out dev);
PointCollection distributionPoints = new PointCollection();
double min = start;
double max = start + intervalsCount * interval;
double del = (max - min) / (C_distributionPointsCount - 1);
for (int i = 0; i < C_distributionPointsCount; i++)
{
double tx = min + i * del;
double ty = NormalDistribution(tx, m, dev) * dataPoints.Count * interval;
distributionPoints.Add(new Point(tx, ty));
}
segmentsCollection.Add(new HistogramDistributionSegment(distributionPoints, this));
}
foreach (var item in segmentsCollection)
{
Segments.Add(item);
}
#endregion
}
}