private void DrawHeatMap()
{
int GridSize = m_Model.ResultSize;
m_ComparisonHeatmap.Clear();
m_ComparisonHeatmap.Add((scpl.IDrawable) new scpl.Grid()
{
HorizontalGridType = scpl.Grid.GridType.Fine,
VerticalGridType = scpl.Grid.GridType.Fine
});
double[,] data = new double[GridSize, GridSize];
string[,] cellLabels = new string[GridSize, GridSize];
for (int GeIndex1 = 0; GeIndex1 < GridSize; ++GeIndex1)
{
for (int GeIndex2 = 0; GeIndex2 < GridSize; ++GeIndex2)
{
data[GeIndex1, GeIndex2] = Convert.ToDouble(this.CalculateDifferences(m_Model.BestSoFar.Items[GeIndex1], m_Model.BestSoFar.Items[GeIndex2]));
cellLabels[GeIndex1, GeIndex2] = m_Model.BestSoFar.Items[GeIndex1].Alias + " vs " + m_Model.BestSoFar.Items[GeIndex2].Alias + " " + Convert.ToInt32(data[GeIndex1, GeIndex2]).ToString() + " differences";
}
}
m_ComparisonHeatmap.Add((scpl.IDrawable) new scpl.ImagePlot(data, cellLabels, 1.0, 1.0, 1.0, 1.0)
{
Gradient = (scpl.IGradient) new scpl.LinearGradient(Color.Yellow, Color.Blue)
});
m_ComparisonHeatmap.Refresh();
}
/// <summary>
/// Draws a graph for the current set of values.
/// </summary>
private void DrawGraph()
{
// clear existing plot.
plotCtrl_.Clear();
// update title.
if (mItem_ != null && mItem_.ItemName != null && mItem_.ItemName != "")
{
plotCtrl_.Title = mItem_.ItemName;
}
// get current set of values.
TsCHdaItemValueCollection values = GetValues();
if (values == null || (values.Count == 0 && (values.StartTime == DateTime.MinValue || values.EndTime == DateTime.MinValue)))
{
plotCtrl_.Add(new PointPlot(new ArrayAdapter(new double[] { 0, 100 }, new double[] { 0, 100 })));
plotCtrl_.XAxis1.Label = "No Data Available";
plotCtrl_.Refresh();
return;
}
// determine the best set of units.
double units = CalculateUnits(values);
// the first timestamp is the reference point for the plot.
DateTime startTime = (values.Count > 0)?values[0].Timestamp:values.StartTime;
// display empty set by plotting the time axis.
if (values.Count == 0)
{
// create array.
double[] xs = new double[2];
double[] ys = new double[2];
xs[0] = 0;
ys[0] = 0;
xs[1] = ((double)(((TimeSpan)(values.EndTime - startTime)).Ticks)) / units;
ys[1] = 100;
plotCtrl_.Add(new PointPlot(new ArrayAdapter(xs, ys)));
plotCtrl_.XAxis1.Label = CreateLabel(startTime, units);
plotCtrl_.Refresh();
return;
}
// create seperate plots for each quality of data.
int[] qualityMasks = new int[] { 0xC0, 0x40, 0x00 };
// create different icons for each type of data.
Marker[] markers = new Marker[]
{
new Marker(MarkerType.Circle, 4, new Pen(Color.Black)),
new Marker(MarkerType.Square, 4, new Pen(Color.Blue)),
new Marker(MarkerType.Cross1, 4, new Pen(Color.Red))
};
// add plots to control.
for (int ii = 0; ii < qualityMasks.Length; ii++)
{
ArrayAdapter adpater = CreateAdapter(values, qualityMasks[ii], startTime, units);
if (adpater != null)
{
if (adpater.Count < 40)
{
plotCtrl_.Add(new PointPlot(adpater, markers[ii]));
}
else
{
plotCtrl_.Add(new LinePlot(adpater));
}
}
}
// update the label.
plotCtrl_.XAxis1.Label = CreateLabel(startTime, units);
// display the data.
plotCtrl_.Refresh();
}