public StatisticalDataHistogram[] CreateHistogram(
StatisticalData[] data,
TimeFrame[] timeFrames,
int intervalsCount)
{
ThresholdMinMaxValue minMax = new MinMaxCalculator().Calculate(data);
return(HistogramCalculator.CreateBucketsAndHistogram(data, timeFrames, intervalsCount, minMax));
}
// Token: 0x060004D7 RID: 1239 RVA: 0x0001E864 File Offset: 0x0001CA64
public StatisticalDataHistogram[] CreateHistogramWithScaledInterval(StatisticalData[] data, TimeFrame[] timeFrames, int intervalsCount, Type dataType)
{
ThresholdMinMaxValue thresholdMinMaxValue = new MinMaxCalculator().Calculate(data);
if (dataType != null && dataType == typeof(int))
{
int num = (int)(thresholdMinMaxValue.Max - thresholdMinMaxValue.Min);
if (num == 0)
{
num = 1;
}
intervalsCount = Math.Min(num, intervalsCount);
}
return(HistogramCalculator.CreateBucketsAndHistogram(data, timeFrames, intervalsCount, thresholdMinMaxValue));
}
public StatisticalDataHistogram[] CreateHistogramWithScaledInterval(
StatisticalData[] data,
TimeFrame[] timeFrames,
int intervalsCount,
Type dataType)
{
ThresholdMinMaxValue minMax = new MinMaxCalculator().Calculate(data);
if (dataType != (Type)null && dataType == typeof(int))
{
int val1 = (int)(minMax.get_Max() - minMax.get_Min());
if (val1 == 0)
{
val1 = 1;
}
intervalsCount = Math.Min(val1, intervalsCount);
}
return(HistogramCalculator.CreateBucketsAndHistogram(data, timeFrames, intervalsCount, minMax));
}