public static (string[] series, string[] seriesLNA) GenerateSeries(List <ReportEntry> reports, Noise noise, Style style)
{
if (!style.chartOutput)
{
return(null, null);
}
string[] seriesLNA = new string[reports.Count]; // can contain nulls if series are duplicates
paletteNo = (reports.Count - 1) % palette.Length; // because we scan palette backwards
for (int i = reports.Count - 1; i >= 0; i--) // add series backwards so that Red is in front
// generate LNA-dependent series
{
ReportEntry entry = reports[i];
bool noisePlottable = (noise != Noise.None) && entry.flow.HasStochasticVariance() && !entry.flow.HasNullVariance();
if (noisePlottable)
{
string reportName = (entry.asLabel != null) ? entry.asLabel : entry.flow.TopFormat(style.RestyleAsNumberFormat("G4"));
string seriesName = reportName + Gui.StringOfNoise(noise);
seriesLNA[i] = KChartHandler.ChartAddSeries(seriesName, entry.flow, palette[paletteNo % palette.Length], noise); // could be null
}
paletteNo--; if (paletteNo < 0)
{
paletteNo += palette.Length; // decrement out here to keep colors coordinated
}
}
string[] series = new string[reports.Count]; // can contain nulls if series are duplicates
paletteNo = (reports.Count - 1) % palette.Length; // because we scan palette backwards
for (int i = reports.Count - 1; i >= 0; i--) // add series backwards so that Red is in front
// generate deterministic series
{
ReportEntry entry = reports[i];
bool meanPlottable = (noise == Noise.None && entry.flow.HasDeterministicValue()) || ((noise != Noise.None) && entry.flow.HasStochasticMean());
bool noisePlottable = (noise != Noise.None) && entry.flow.HasStochasticVariance() && !entry.flow.HasNullVariance();
if (meanPlottable)
{
string reportName = (entry.asLabel != null) ? entry.asLabel : entry.flow.TopFormat(style.RestyleAsNumberFormat("G4"));
string seriesName = reportName + (noisePlottable ? Gui.StringOfNoise(Noise.None) : ""); // do postfix mu if there is no sigma plot for it
//string seriesName = reportName + ((noise == Noise.None) ? "" : Gui.StringOfNoise(Noise.None)); // previous version
series[i] = KChartHandler.ChartAddSeries(seriesName, entry.flow, palette[paletteNo % palette.Length], Noise.None); // could be null
}
paletteNo--; if (paletteNo < 0)
{
paletteNo += palette.Length; // decrement out here to keep colors coordinated
}
}
return(series, seriesLNA);
}