private void UpdateAxisLimits(double t)
{
if (t <= 20)
{
XAxisMin = 0.0;
XAxisMax = 25.0;
}
else
{
XAxisMin = t - 20.0;
XAxisMax = t + 5.0;
}
// Where-clause here is needed to prevent Y-axis be influenced by NaN values.
// If only NaNs (for instance, after an entire training), do not update the YAxis.
var lowerTargetValues = LowerTargetValues.Where(mm => !double.IsNaN(mm.Moment));
if (lowerTargetValues.Any())
{
YAxisMin = lowerTargetValues.Min(v => v.Moment) - 10.0;
}
var upperTargetValues = UpperTargetValues.Where(mm => !double.IsNaN(mm.Moment));
if (upperTargetValues.Any())
{
YAxisMax = upperTargetValues.Max(v => v.Moment) + 10.0;
}
}
private void GraphUpdate(EventArgs e)
{
if (_lastGraphUpdate != null && DateTime.Now - _lastGraphUpdate < TimeSpan.FromSeconds(1))
{
return;
}
var eventArgs = (SerialPortEventArgs)e;
var moment = _model.DetermineMoment(eventArgs.Left, eventArgs.Right);
var t = (DateTime.Now - _t0).TotalSeconds;
MomentValues.Add(new MeasureModel(t, moment));
if (MomentValues.Count > 100)
{
MomentValues.RemoveAt(0);
}
_model.Training.GenerateTargetAt(t + 50.0, out double target, out double minTarget, out double maxTarget);
TargetValues.Add(new MeasureModel(t + 50.0, target));
UpperTargetValues.Add(new MeasureModel(t + 50.0, maxTarget));
LowerTargetValues.Add(new MeasureModel(t + 50.0, minTarget));
if (UpperTargetValues.Count > 100)
{
TargetValues.RemoveAt(0);
LowerTargetValues.RemoveAt(0);
UpperTargetValues.RemoveAt(0);
}
UpdateAxisLimits(t);
_lastGraphUpdate = DateTime.Now;
}
