protected Histogram ExtractHistogram(IEnumerable <LapTelemetryDto> loadedLaps, Func <TimedTelemetrySnapshot, double> extractFunc, [CanBeNull] IReadOnlyCollection <ITelemetryFilter> filters, double bandSize, string title)
{
TimedValue[] data = ExtractTimedValuesOfLoadedLaps(loadedLaps, extractFunc, filters).Where(x => x.ValueTime.TotalSeconds < 2).OrderBy(x => x.Value).ToArray();
if (data.Length == 0)
{
return(null);
}
double minBand = GetBandMiddleValue(data[0].Value, bandSize);
double maxBand = GetBandMiddleValue(data[data.Length - 1].Value, bandSize);
double totalSeconds = data.Sum(x => x.ValueTime.TotalSeconds);
List <IGrouping <double, TimedValue> > groupedByBand = data.GroupBy(x => GetBandMiddleValue(x.Value, bandSize)).ToList();
Histogram histogram = new Histogram()
{
BandSize = bandSize,
MajorTickSize = bandSize * 5,
Title = title,
Unit = YUnit,
DataPointsCount = data.Length,
};
for (double i = minBand; i <= maxBand; i += bandSize)
{
IGrouping <double, TimedValue> currentGrouping = groupedByBand.FirstOrDefault(x => Math.Abs(x.Key - i) < 0.0001);
double bandTime = currentGrouping?.Sum(x => x.ValueTime.TotalSeconds) ?? 0;
double percentage = bandTime / totalSeconds * 100;
HistogramBand currentBand = new HistogramBand(currentGrouping?.ToArray() ?? new TimedValue[0], i, percentage);
histogram.AddItem(currentBand);
}
return(histogram);
}
protected override Histogram ExtractHistogram(IEnumerable <LapTelemetryDto> loadedLaps, Func <TimedTelemetrySnapshot, double> extractFunc, [CanBeNull] IReadOnlyCollection <ITelemetryFilter> filters, double bandSize, string title)
{
TimedValue[] data = ExtractTimedValuesOfLoadedLaps(loadedLaps, extractFunc, filters).Where(x => x.ValueTime.TotalSeconds < 2).OrderBy(x => x.Value).ToArray();
if (data.Length == 0)
{
return(new Histogram());
}
double minBand = GetBandMiddleValue(data[0].Value, bandSize);
double maxBand = GetBandMiddleValue(data[data.Length - 1].Value, bandSize);
double totalSeconds = data.Sum(x => x.ValueTime.TotalSeconds);
List <IGrouping <double, TimedValue> > groupedByBand = data.GroupBy(x => GetBandMiddleValue(x.Value, bandSize)).ToList();
Histogram histogram = new Histogram()
{
BandSize = bandSize,
MajorTickSize = bandSize * 5,
Title = title,
Unit = YUnit,
DataPointsCount = data.Length,
};
HistogramBand slowBand = new HistogramBand(OxyColors.Green)
{
Title = "Slow"
};
HistogramBand fastBand = new HistogramBand(OxyColors.DarkRed)
{
Title = "Fast"
};
histogram.AddItem(slowBand);
histogram.AddItem(fastBand);
for (double i = minBand; i <= maxBand; i += bandSize)
{
IGrouping <double, TimedValue> currentGrouping = groupedByBand.FirstOrDefault(x => Math.Abs(x.Key - i) < 0.0001);
double bandTime = currentGrouping?.Sum(x => x.ValueTime.TotalSeconds) ?? 0;
double percentage = bandTime / totalSeconds * 100;
HistogramBar currentBar = new HistogramBar(currentGrouping?.ToArray() ?? new TimedValue[0], i, percentage);
if (ReboundTransition < i && i < BumpTransition)
{
slowBand.AddItem(currentBar);
}
else
{
fastBand.AddItem(currentBar);
}
}
histogram.UseCustomYRange = true;
histogram.MaximumY = histogram.Items.SelectMany(x => x.Items).Max(x => x.Percentage);
histogram.UseCustomXRange = true;
histogram.MaximumX = histogram.Items.SelectMany(x => x.Items).Max(x => x.Category);
histogram.MinimumX = histogram.Items.SelectMany(x => x.Items).Min(x => x.Category);
return(histogram);
}