public void RefreshDisplay()
{
if (InputSimpleData.Count == 0) return;
Series NewSerie = new System.Windows.Forms.DataVisualization.Charting.Series(base.InputSimpleData.Name);
base.LabelAxisX = InputSimpleData[IdxDesc0].Name;
if (this.InputSimpleData.Count <= IdxDesc1) IdxDesc1 = this.InputSimpleData.Count - 1;
base.LabelAxisY = InputSimpleData[IdxDesc1].Name;
NewSerie.ChartType = SeriesChartType.Point;
double _MinY = double.MaxValue;
double _MinX = double.MaxValue;
double _MaxX = double.MinValue;
double _MaxY = double.MinValue;
double TmpMinX, TmpMinY, TmpMaxX, TmpMaxY;
double TMp;
double MinVolume = 0;
double MaxVolume = 0;
double MinColor = 0;
double MaxColor = 0;
if (this.IdxDescForMarkerSize >= 0)
{
MinVolume = this.InputSimpleData[this.IdxDescForMarkerSize].Min();
MaxVolume = this.InputSimpleData[this.IdxDescForMarkerSize].Max();
}
if (this.IdxDescForMarkerColor >= 0)
{
MinColor = this.InputSimpleData[this.IdxDescForMarkerColor].Min();
MaxColor = this.InputSimpleData[this.IdxDescForMarkerColor].Max();
}
cLUTProcess LUTProcess = new cLUTProcess(cGlobalInfo.GraphsLUT);
for (int j = 0; j < this.InputSimpleData[0].Count; j++)
{
DataPoint DP = new DataPoint();
TMp = this.InputSimpleData[IdxDesc0][j];
if (TMp < _MinX) _MinX = TMp;
else if (TMp > _MaxX) _MaxX = TMp;
DP.XValue = TMp;
double[] Value = new double[1];
TMp = this.InputSimpleData[IdxDesc1][j];
if (TMp < _MinY) _MinY = TMp;
else if (TMp > _MaxY) _MaxY = TMp;
Value[0] = TMp;
DP.YValues = Value;
if (this.IdxDescForMarkerSize < 0)
DP.MarkerSize = this.MarkerSize;
else
{
// DP.MarkerSize = this.MarkerSize * 2;
int MarkerArea = (int)((50 * (this.InputSimpleData[this.IdxDescForMarkerSize][j] - MinVolume)) / (MaxVolume - MinVolume));
DP.MarkerSize = MarkerArea + this.MarkerSize;
}
DP.MarkerStyle = MarkerStyle.Circle;
if (IsBorder)
{
DP.MarkerBorderColor = Color.Black;
DP.MarkerBorderWidth = 1;
}
int IdxColor = j % LUTProcess.GetNumberOfColors();
if (this.InputSimpleData.ListTags != null)
{
if (j >= this.InputSimpleData.ListTags.Count) continue;
DP.Tag = this.InputSimpleData.ListTags[j];
if (DP.Tag.GetType() == typeof(cWell))
{
if (IdxDescForMarkerColor == -1) DP.Color = Color.FromArgb(this.Opacity, ((cWell)(DP.Tag)).GetClassColor());
DP.ToolTip = ((cWell)(DP.Tag)).GetShortInfo() + Value[0];
}
if (DP.Tag.GetType() == typeof(cSingleBiologicalObject))
{
if (IdxDescForMarkerColor == -1) DP.Color = Color.FromArgb(this.Opacity, ((cSingleBiologicalObject)(DP.Tag)).GetColor());
DP.ToolTip = ((cSingleBiologicalObject)(DP.Tag)).GetAssociatedPhenotype().Name + "\nValue: (" + DP.XValue.ToString("N2") + ":" + DP.YValues[0].ToString("N2") + ")";
}
if (DP.Tag.GetType() == typeof(cDescriptorType))
{
if (IdxDescForMarkerColor == -1) DP.Color = Color.FromArgb(this.Opacity, LUTProcess.GetColor(IdxColor));//((cWell)(DP.Tag)).GetClassColor();
DP.ToolTip = ((cDescriptorType)(DP.Tag)).GetShortInfo() + Value[0];
DP.AxisLabel = ((cDescriptorType)(DP.Tag)).GetName();
base.CurrentChartArea.AxisX.Interval = 1;
}
if (DP.Tag.GetType() == typeof(cPlate))
{
// DP.Color = ((cWell)(DP.Tag)).GetClassColor();
if (IdxDescForMarkerColor == -1) DP.Color = Color.FromArgb(this.Opacity, LUTProcess.GetColor(IdxColor));
DP.ToolTip = ((cPlate)(DP.Tag)).GetName() + " : " + Value[0];
DP.AxisLabel = ((cPlate)(DP.Tag)).GetName();
base.CurrentChartArea.AxisX.Interval = 1;
}
if (DP.Tag.GetType() == typeof(string))
{
if (IdxDescForMarkerColor == -1) DP.Color = Color.FromArgb(this.Opacity, LUTProcess.GetColor(IdxColor)); ;
DP.ToolTip = (string)(DP.Tag);
}
}
if (IdxDescForMarkerColor != -1)
{
int MarkerColor = (int)(((LUTProcess.GetNumberOfColors() - 1) * (this.InputSimpleData[this.IdxDescForMarkerColor][j] - MinColor)) / (MaxColor - MinColor));
DP.Color = Color.FromArgb(this.Opacity, LUTProcess.GetColor(MarkerColor));
}
//if (this.InputSimpleData[0].ListTags != null)
//{
// if (j >= this.InputSimpleData[0].ListTags.Count) continue;
// DP.Tag = this.InputSimpleData[0].ListTags[j];
// if (DP.Tag.GetType() == typeof(cWell))
// {
// DP.Color = ((cWell)(DP.Tag)).GetClassColor();
// DP.ToolTip = ((cWell)(DP.Tag)).GetShortInfo() + Value[0];
// }
// if (DP.Tag.GetType() == typeof(cSingleBiologicalObject))
// {
// DP.Color = ((cSingleBiologicalObject)(DP.Tag)).GetColor();
// DP.ToolTip = ((cSingleBiologicalObject)(DP.Tag)).GetAssociatedPhenotype().Name + "\nValue: (" + DP.XValue.ToString("N2") + ":" + DP.YValues[0].ToString("N2") + ")";
// }
// if (DP.Tag.GetType() == typeof(cDescriptorsType))
// {
// // DP.Color = ((cWell)(DP.Tag)).GetClassColor();
// DP.ToolTip = ((cDescriptorsType)(DP.Tag)).GetShortInfo() + Value[0];
// DP.AxisLabel = ((cDescriptorsType)(DP.Tag)).GetName();
// base.CurrentChartArea.AxisX.Interval = 1;
// }
// if (DP.Tag.GetType() == typeof(cPlate))
// {
// // DP.Color = ((cWell)(DP.Tag)).GetClassColor();
// DP.ToolTip = ((cPlate)(DP.Tag)).Name + " : " + Value[0];
// DP.AxisLabel = ((cPlate)(DP.Tag)).Name;
// base.CurrentChartArea.AxisX.Interval = 1;
// }
//}
NewSerie.Points.Add(DP);
}
base.CurrentSeries.Clear();
base.CurrentSeries.Add(NewSerie);
base.Run();
if (_MinX == _MaxX) _MaxX = _MinX + 1;
if (_MinY == _MaxY) _MaxY = _MinY + 1;
base.ChartAreas[0].AxisX.Minimum = _MinX;
base.ChartAreas[0].AxisY.Minimum = _MinY;
base.ChartAreas[0].AxisX.Maximum = _MaxX;
base.ChartAreas[0].AxisY.Maximum = _MaxY;
if (IsDisplayTrendLine)
{
this.Series.Add("TrendLine");
this.Series["TrendLine"].ChartType = SeriesChartType.Line;
this.Series["TrendLine"].BorderWidth = 1;
this.Series["TrendLine"].Color = Color.Red;
string typeRegression = "Linear";//"Exponential";//
string forecasting = "1";
string error = "false";
string forecastingError = "false";
string parameters = typeRegression + ',' + forecasting + ',' + error + ',' + forecastingError;
this.Series[0].Sort(PointSortOrder.Ascending, "X");
this.DataManipulator.FinancialFormula(FinancialFormula.Forecasting, parameters, this.Series[0], this.Series["TrendLine"]);
}
base.CurrentTitle.Text = InputSimpleData.Name + " - " + base.LabelAxisX + " vs. " + base.LabelAxisY + " (" + this.InputSimpleData[0].Count + " points)";
}
void Refresh()
{
base.CurrentSeries.Clear();
double MaxY = 0;
FinalMin = InputSimpleData.Min();
FinalMax = InputSimpleData.Max();
for (int IdxSerie = 0; IdxSerie < InputSimpleData.Count; IdxSerie++)
{
Series NewSerie = new System.Windows.Forms.DataVisualization.Charting.Series(base.InputSimpleData[IdxSerie].Name);
cLUTProcess LUTProcess = new cLUTProcess(cGlobalInfo.GraphsLUT);
int IdxColor = IdxSerie % LUTProcess.GetNumberOfColors();
NewSerie.Color = LUTProcess.GetColor(IdxColor);
cHistogramBuilder HB = new cHistogramBuilder();
HB.SetInputData(new cExtendedTable(InputSimpleData[IdxSerie]));
HB.Min = FinalMin;
HB.Max = FinalMax;
if (this.BinNumber == -1)
HB.BinNumber = HB.Max - HB.Min +1 ;
else
HB.BinNumber = this.BinNumber;
HB.IsNormalized = this.IsHistoNormalized;
if (this.IsHistoNormalized)
{
base.LabelAxisY = "Normalized Frequency";
//base.CurrentChartArea.AxisY.Maximum = 1;
}
else
base.LabelAxisY = "Frequency";
HB.Run();
cExtendedTable CurrentHistogram = HB.GetOutPut();
double TmpMax = CurrentHistogram[1].Max();
if (TmpMax > MaxY) MaxY = TmpMax;
if (IsPoint)
NewSerie.ChartType = SeriesChartType.Point;
if (IsBar)
NewSerie.ChartType = SeriesChartType.Column;
if (IsLine)
NewSerie.ChartType = SeriesChartType.Line;
if (IsArea)
NewSerie.ChartType = SeriesChartType.Area;
if (IsSpline)
NewSerie.ChartType = SeriesChartType.Spline;
NewSerie.Tag = base.InputSimpleData[IdxSerie].Tag;
for (int j = 0; j < CurrentHistogram[0].Count; j++)
{
//this.chartForPoints.Series[0].Points[j].MarkerColor = Color.FromArgb(128, GlobalInfo.ListCellularPhenotypes[(int)MachineLearning.Classes[j]].ColourForDisplay);
DataPoint DP = new DataPoint();
double[] Value = new double[1];
Value[0] = CurrentHistogram[1][j];
DP.YValues = Value;
if (Value[0] == 0) continue;
DP.XValue = CurrentHistogram[0][j];
DP.Tag = base.InputSimpleData[IdxSerie].Tag;
// DP.MarkerSize = this.MarkerSize;
// DP.MarkerStyle = MarkerStyle.Circle;
if (IsBorder)
{
DP.MarkerBorderColor = Color.Black;
DP.MarkerBorderWidth = 1;
// DP.BorderColor = Color.Black;
// DP.BorderWidth = 1;
}
else
{
DP.BorderWidth = 0;
DP.MarkerBorderWidth = 0;
}
DP.Color = Color.FromArgb(this.Opacity, NewSerie.Color);
// DP.MarkerStyle = MarkerStyle.Circle;
// DP.MarkerSize = this.MarkerSize;
// }
DP.BorderWidth = 3;// this.LineWidth;
if (InputSimpleData[IdxSerie].Tag != null)
{
//if (j >= this.input[0].ListTags.Count) continue;
if (InputSimpleData[IdxSerie].Tag.GetType() == typeof(cWellClassType))
{
DP.Color = ((cWellClassType)(InputSimpleData[IdxSerie].Tag)).ColourForDisplay;
DP.ToolTip = ((cWellClassType)(InputSimpleData[IdxSerie].Tag)).Name + "\n";
}
//DP.Tag = this.input[0].ListTags[j];
//if (DP.Tag.GetType() == typeof(cWell))
//{
// DP.Color = ((cWell)(DP.Tag)).GetClassColor();
// DP.ToolTip = ((cWell)(DP.Tag)).GetShortInfo() + Value[0];
//}
//if (DP.Tag.GetType() == typeof(cDescriptorsType))
//{
// // DP.Color = ((cWell)(DP.Tag)).GetClassColor();
// DP.ToolTip = ((cDescriptorsType)(DP.Tag)).GetShortInfo() + Value[0];
// DP.AxisLabel = ((cDescriptorsType)(DP.Tag)).GetName();
// base.CurrentChartArea.AxisX.Interval = 1;
//}
//if (DP.Tag.GetType() == typeof(cPlate))
//{
// // DP.Color = ((cWell)(DP.Tag)).GetClassColor();
// DP.ToolTip = ((cPlate)(DP.Tag)).Name + " : " + Value[0];
// DP.AxisLabel = ((cPlate)(DP.Tag)).Name;
// base.CurrentChartArea.AxisX.Interval = 1;
//}
}
DP.ToolTip += NewSerie.Name +"\n" + DP.XValue.ToString("N2") + " : " + DP.YValues[0];
NewSerie.Points.Add(DP);
// if (Input[idxCol].ListTags != null)
//NewSerie.Points[IdxValue].Tag = Input[idxCol].ListTags[idxRow];
// if (this.IsDisplayValues) CurrentSeries.Points[IdxValue].Label = Value.ToString("N2");// string.Format("{0:0.###}", Math.Abs(Value));
//this.chartForPoints.Series[0].Points[j].MarkerBorderWidth = BorderSize;
}
base.CurrentSeries.Add(NewSerie);
}
base.CurrentChartArea.AxisY.Maximum = MaxY;
base.Update();
}
public void Run()
{
this.SliderForMarkerSize.trackBar.Value = this.MarkerSize;
this.SliderForMarkerSize.numericUpDown.Value = this.MarkerSize;
this.SliderForLineWidth.trackBar.Value = this.LineWidth;
this.SliderForLineWidth.numericUpDown.Value = this.LineWidth;
this.SliderForOpacity.numericUpDown.Maximum = this.SliderForOpacity.trackBar.Maximum = 255;
this.SliderForOpacity.trackBar.Value = this.Opacity;
this.SliderForOpacity.numericUpDown.Value = this.Opacity;
if ((InputSimpleData==null)||((X_AxisValues != null) && (X_AxisValues.Count != InputSimpleData[0].Count))) return;
if ((X_AxisValues != null) && (X_AxisValues.Min() <= 0) && (IsLogAxis)) return;
#region multiple readouts
if (ListCurves.Count > 0)
{
//for (int IdxSimpleReadoutCurve = 0; IdxSimpleReadoutCurve < input.Count; IdxSimpleReadoutCurve++)
foreach (cCurveForGraph item in ListCurves)
{
if (item == null) continue;
Series NewSerie = new System.Windows.Forms.DataVisualization.Charting.Series(item.Title);
//NewSerie.ChartType = SeriesChartType.ErrorBar;
NewSerie.ChartType = SeriesChartType.Point;
// NewSerie.ChartType = SeriesChartType.Point;
//NewSerie.ChartType = SeriesChartType.SplineRange;
NewSerie.ShadowOffset = 0;
//NewSerie.ShadowColor = Color.Transparent;
#region loop over the multireadouts curves
for (int j = 0; j < item.ListPtValues.Count; j++)
{
//this.chartForPoints.Series[0].Points[j].MarkerColor = Color.FromArgb(128, GlobalInfo.ListCellularPhenotypes[(int)MachineLearning.Classes[j]].ColourForDisplay);
cExtendedList ListValues = new cExtendedList();
for (int IdxValue = 1; IdxValue < item.ListPtValues[j].Count; IdxValue++)
{
ListValues.Add(item.ListPtValues[j][IdxValue]);
}
double[] Values = new double[2];
double Mean = ListValues.Mean();
double Std = ListValues.Std();
if (NewSerie.ChartType == SeriesChartType.ErrorBar)
{
Values = new double[3];
Values[0] = Mean;
Values[1] = Mean - Std;
Values[2] = Mean + Std;
DataPoint DP = new DataPoint();
DP.XValue = item.ListPtValues[j][0];
DP.YValues = Values;
DP.Color = Color.AliceBlue;
NewSerie.Points.Add(DP);
}
else if (NewSerie.ChartType == SeriesChartType.SplineRange)
{
Values[0] = Mean - Std;
Values[1] = Mean + Std;
DataPoint DP = new DataPoint();
DP.XValue = item.ListPtValues[j][0];
DP.YValues = Values;
DP.Color = Color.FromArgb(200, Color.Tomato);
// DP.MarkerSize = 10;
NewSerie.Points.Add(DP);
}
else
{
// Values = ListValues.ToArray();
for (int i = 0; i < ListValues.Count; i++)
{
DataPoint DP = new DataPoint();
DP.SetValueXY(item.ListPtValues[j][0], ListValues[i]);
DP.Color = Color.FromArgb(190, Color.Tomato);
DP.BorderColor = Color.Black;
DP.BorderWidth = 1;
DP.MarkerSize = 8;
DP.MarkerStyle = MarkerStyle.Circle;
NewSerie.Points.Add(DP);
}
}
// DP.Tag = DataSerie.Tag;
//// Value[0] = item.ListPtValues[j];
//for (int IdxValue = 1; IdxValue < item.ListPtValues[j].Count; IdxValue++)
//{
// ListValues.Add(item.ListPtValues[j][IdxValue]);
//}
//double[] Values = new double[2];
////Values[0] = ListValues.Mean();
//double Mean = ListValues.Mean();
//double Std = ListValues.Std();
//Values[0] = Mean - Std;
//Values[1] = Mean + Std;
//DP.YValues = Values;
//if (IsBorder)
//{
// DP.MarkerBorderColor = Color.Black;
// DP.MarkerBorderWidth = 1;
//}
//if ((ArraySeriesInfo != null) && (ArraySeriesInfo[IdxSimpleReadoutCurve] != null))
//{
// DP.Color = Color.FromArgb(this.Opacity, ArraySeriesInfo[IdxSimpleReadoutCurve].color);
// NewSerie.Tag = ArraySeriesInfo[IdxSimpleReadoutCurve];
// DP.MarkerStyle = ArraySeriesInfo[IdxSimpleReadoutCurve].markerStyle;
// DP.MarkerSize = this.MarkerSize;
//}
//else
// {
//DP.MarkerStyle = MarkerStyle.Diamond;
// DP.MarkerSize = 4;
// }
// DP.BorderWidth = 2;
//if (item.ListPtValues[0].ListTags != null)
//{
// if (j >= item.ListPtValues[0].ListTags.Count) continue;
// DP.Tag = item.ListPtValues[0].ListTags[j];
// if (DP.Tag.GetType() == typeof(cWell))
// {
// DP.Color = ((cWell)(DP.Tag)).GetClassColor();
// // DP.ToolTip = ((cWell)(DP.Tag)).GetShortInfo() + Value[0];
// }
// if (DP.Tag.GetType() == typeof(cDescriptorsType))
// {
// // DP.Color = ((cWell)(DP.Tag)).GetClassColor();
// // DP.ToolTip = ((cDescriptorsType)(DP.Tag)).GetShortInfo() + Value[0];
// DP.AxisLabel = ((cDescriptorsType)(DP.Tag)).GetName();
// base.CurrentChartArea.AxisX.Interval = 1;
// }
// if (DP.Tag.GetType() == typeof(cPlate))
// {
// // DP.Color = ((cWell)(DP.Tag)).GetClassColor();
// // DP.ToolTip = ((cPlate)(DP.Tag)).Name + " : " + Value[0];
// DP.AxisLabel = ((cPlate)(DP.Tag)).Name;
// base.CurrentChartArea.AxisX.Interval = 1;
// }
//}
//NewSerie.Points.Add(DP);
}
#endregion
base.CurrentSeries.Add(NewSerie);
}
}
if (base.ListInput != null)
{
foreach (cExtendedTable DataSerie in base.ListInput)
{
Series NewSerie = new System.Windows.Forms.DataVisualization.Charting.Series("ComplexD_ataTable"+DataSerie.Name);
NewSerie.Tag = DataSerie.Tag;
//NewSerie.ChartType = SeriesChartType.SplineRange;
NewSerie.ChartType = SeriesChartType.ErrorBar;
for (int IdxPt = 0; IdxPt < DataSerie.Count; IdxPt++)
{
DataPoint DP = new DataPoint();
DP.XValue = DataSerie[IdxPt][0];
cExtendedList ListValues = new cExtendedList();
for (int i = 1; i < DataSerie[IdxPt].Count; i++)
{
ListValues.Add(DataSerie[IdxPt][i]);
}
if (ListValues.Count == 0) continue;
double[] Values = new double[2];
double Mean = ListValues.Mean();
double Std = ListValues.Std();
if (ListValues.Count == 1)
Std = 0;
if (NewSerie.ChartType == SeriesChartType.ErrorBar)
{
Values = new double[3];
Values[0] = Mean;
Values[1] = Mean - Std;
Values[2] = Mean + Std;
}
else
{
Values[0] = Mean - Std;
Values[1] = Mean + Std;
}
DP.YValues = Values;
DP.Tag = DataSerie.Tag;
DP.ToolTip = "Mean: " + Mean + "\nStdev: " + Std;
if (DP.Tag.GetType() == typeof(cWellClassType))
{
DP.Color = Color.FromArgb(200, ((cWellClassType)(DP.Tag)).ColourForDisplay);
}
//if (DP.Tag.GetType() == typeof(cWell))
//{
// DP.Color = ((cWell)(DP.Tag)).GetClassColor();
//}
// DP.Color = Color.FromArgb(200, Color.Tomato);
NewSerie.Points.Add(DP);
}
base.CurrentSeries.Add(NewSerie);
}
}
#endregion
#region simple readout curves
if (InputSimpleData != null)
{
cLUTProcess LUTProcess = new cLUTProcess(cGlobalInfo.GraphsLUT);
for (int IdxSimpleReadoutCurve = 0; IdxSimpleReadoutCurve < InputSimpleData.Count; IdxSimpleReadoutCurve++)
{
Series NewSerie = new System.Windows.Forms.DataVisualization.Charting.Series(base.InputSimpleData[IdxSimpleReadoutCurve].Name);
NewSerie.Tag = base.InputSimpleData[IdxSimpleReadoutCurve].Tag;
if (ISPoint)
NewSerie.ChartType = SeriesChartType.Point;
if (ISFastPoint)
NewSerie.ChartType = SeriesChartType.FastPoint;
if (IsLine)
NewSerie.ChartType = SeriesChartType.Line;
if (IsBar)
NewSerie.ChartType = SeriesChartType.Column;
if ((ArraySeriesInfo != null) && (ArraySeriesInfo[IdxSimpleReadoutCurve] != null))
{
NewSerie.ChartType = SeriesChartType.Spline;
//NewSerie.ChartType = SeriesChartType.Line;
}
#region loop over the simple readout curves
for (int j = 0; j < this.InputSimpleData[IdxSimpleReadoutCurve].Count; j++)
{
//this.chartForPoints.Series[0].Points[j].MarkerColor = Color.FromArgb(128, GlobalInfo.ListCellularPhenotypes[(int)MachineLearning.Classes[j]].ColourForDisplay);
DataPoint DP = new DataPoint();
double[] Value = new double[1];
Value[0] = this.InputSimpleData[IdxSimpleReadoutCurve][j];
if (double.IsNaN(Value[0])) continue;
DP.YValues = Value;
if (X_AxisValues != null)
DP.XValue = X_AxisValues[j];
else
DP.XValue = j;
// DP.AxisLabel = this.InputSimpleData.ListRowNames[j].ToString();
if (IsBorder)
{
DP.MarkerBorderColor = Color.Black;
DP.MarkerBorderWidth = 0;// 1;
}
if ((ArraySeriesInfo != null) && (ArraySeriesInfo[IdxSimpleReadoutCurve] != null))
{
DP.Color = Color.FromArgb(this.Opacity, ArraySeriesInfo[IdxSimpleReadoutCurve].color);
NewSerie.Tag = ArraySeriesInfo[IdxSimpleReadoutCurve];
DP.MarkerStyle = ArraySeriesInfo[IdxSimpleReadoutCurve].markerStyle;
DP.MarkerSize = this.MarkerSize;
}
else
{
int IdxColor = IdxSimpleReadoutCurve % LUTProcess.GetNumberOfColors();
NewSerie.Color = LUTProcess.GetColor(IdxColor);
DP.Color = Color.FromArgb(this.Opacity, LUTProcess.GetColor(IdxColor));
DP.MarkerStyle = MarkerStyle.Circle;
DP.MarkerSize = this.MarkerSize;
}
DP.BorderWidth = this.LineWidth;
if (this.InputSimpleData[IdxSimpleReadoutCurve].ListTags != null)
{
if (j >= this.InputSimpleData[IdxSimpleReadoutCurve].ListTags.Count)
{
DP.Tag = this.InputSimpleData[IdxSimpleReadoutCurve];
NewSerie.Points.Add(DP);
continue;
}
DP.Tag = this.InputSimpleData[IdxSimpleReadoutCurve].ListTags[j];
if (DP.Tag.GetType() == typeof(string))
{
DP.ToolTip = (string)(DP.Tag);
}
if (DP.Tag.GetType() == typeof(cWellClassType))
{
DP.Color = ((cWellClassType)(DP.Tag)).ColourForDisplay;
DP.ToolTip = ((cWellClassType)(DP.Tag)).GetShortInfo() + Value[0];
// DP.AxisLabel = ((cWellClass)(DP.Tag)).Name;
base.CurrentChartArea.AxisX.Interval = 1;
if (this.InputSimpleData.ListRowNames != null)
DP.AxisLabel = this.InputSimpleData.ListRowNames[j];
}
if (DP.Tag.GetType() == typeof(cWell))
{
DP.Color = ((cWell)(DP.Tag)).GetClassColor();
DP.ToolTip = ((cWell)(DP.Tag)).GetShortInfo() + Value[0];
if ((this.InputSimpleData.ListRowNames != null) && (j < this.InputSimpleData.ListRowNames.Count))
DP.AxisLabel = this.InputSimpleData.ListRowNames[j];
}
if (DP.Tag.GetType() == typeof(cDescriptorType))
{
// DP.Color = ((cWell)(DP.Tag)).GetClassColor();
DP.ToolTip = ((cDescriptorType)(DP.Tag)).GetShortInfo() + Value[0];
DP.AxisLabel = ((cDescriptorType)(DP.Tag)).GetName();
base.CurrentChartArea.AxisX.Interval = 1;
}
if (DP.Tag.GetType() == typeof(cPlate))
{
// DP.Color = ((cWell)(DP.Tag)).GetClassColor();
DP.ToolTip = ((cPlate)(DP.Tag)).GetName() + " : " + Value[0];
DP.AxisLabel = ((cPlate)(DP.Tag)).GetName();
base.CurrentChartArea.AxisX.Interval = 1;
}
}
NewSerie.Points.Add(DP);
}
#endregion
base.CurrentSeries.Add(NewSerie);
}
}
#endregion
base.Run();
base.ChartAreas[0].AxisX.IsLogarithmic = IsLogAxis;
}
void Chart_CustomizeLegend(object sender, CustomizeLegendEventArgs e)
{
e.LegendItems.Clear();
int IdxSerie = 0;
foreach (var item in this.Series)
{
if (item.Name.Contains("ComplexD_ataTable")) continue;
if (item.Name == "TrendLine") continue;
//if (item.Tag != null)
//{
LegendItem newItem = new LegendItem();
newItem.ImageStyle = LegendImageStyle.Marker;
newItem.MarkerStyle = MarkerStyle.Square;
newItem.MarkerSize = 8;
newItem.ShadowColor = Color.Black;
newItem.ShadowOffset = 1;
if (item.Tag != null)
{
if (item.Tag.GetType() == typeof(cWellClassType))
newItem.MarkerBorderColor = newItem.MarkerColor = ((cWellClassType)(item.Tag)).ColourForDisplay;
else if (item.Tag.GetType() == typeof(cCellularPhenotype))
newItem.MarkerBorderColor = newItem.MarkerColor = ((cCellularPhenotype)(item.Tag)).ColourForDisplay;
else
newItem.MarkerBorderColor = newItem.MarkerColor= item.Color;
}
else
{
cLUTProcess LUTProcess = new cLUTProcess(cGlobalInfo.GraphsLUT);
int IdxColor = IdxSerie % LUTProcess.GetNumberOfColors();
newItem.MarkerBorderColor = newItem.MarkerColor = LUTProcess.GetColor(IdxColor);
}
newItem.Cells.Add(LegendCellType.SeriesSymbol, "", ContentAlignment.MiddleLeft);
newItem.Cells.Add(LegendCellType.Text, item.Name, ContentAlignment.MiddleLeft);
e.LegendItems.Add(newItem);
IdxSerie++;
//}
}
}
