public void AddDataToChart(string request, List<TimeSpan> runtimes, List<TimeSpan> aggregateRuntimes)
{
if (_individualRuntimeChart.Legends.FindByName(request) == null)
_individualRuntimeChart.Legends.Add(request);
_individualRuntimeChart.Series.Add(request);
_individualRuntimeChart.Series[_index].ChartType = SeriesChartType.Line;
var milliseconds = runtimes.Select(x => x.TotalMilliseconds).ToList();
var trialNum = 0;
var trials = milliseconds.Select(item => ++trialNum).ToList();
//_runtimes.Clear();
_runtimes.AddRange(runtimes);
_individualRuntimeChart.Series[_index].Points.DataBindXY(trials, "Runs", milliseconds, "Runtime (Milliseconds)");
_individualRuntimeChart.Legends[_index].LegendStyle = LegendStyle.Table;
_individualRuntimeChart.Legends[_index].TableStyle = LegendTableStyle.Tall;
_individualRuntimeChart.Legends[_index].Docking = Docking.Bottom;
_individualRuntimeChart.ChartAreas[0].AxisY.Minimum = aggregateRuntimes.Min().TotalMilliseconds;
_individualRuntimeChart.ChartAreas[0].AxisY.Maximum = aggregateRuntimes.Max().TotalMilliseconds;
_individualRuntimeChart.ChartAreas[0].AxisX.Minimum = trials.Min();
_individualRuntimeChart.ChartAreas[0].AxisX.Maximum = trials.Max();
_cumulativeRuntimeChart.Legends.Add(request);
_cumulativeRuntimeChart.Series.Add(request);
_cumulativeRuntimeChart.Series[_index].ChartType = SeriesChartType.Line;
var cumulativeMilliseconds = new List<double> { 0 };
cumulativeMilliseconds.AddRange(GetAggregate(runtimes).ToList());
trialNum = 0;
trials = cumulativeMilliseconds.Select(item => trialNum++).ToList();
_cumulativeRuntimeChart.Series[_index].Points.DataBindXY(trials, "Runs", cumulativeMilliseconds, "Runtime (Milliseconds)");
_cumulativeRuntimeChart.Legends[_index].LegendStyle = LegendStyle.Table;
_cumulativeRuntimeChart.Legends[_index].TableStyle = LegendTableStyle.Tall;
_cumulativeRuntimeChart.Legends[_index].Docking = Docking.Bottom;
_cumulativeRuntimeChart.ChartAreas[0].AxisY.Minimum = 0;
_cumulativeRuntimeChart.ChartAreas[0].AxisY.Maximum = cumulativeMilliseconds.Max();
_cumulativeRuntimeChart.ChartAreas[0].AxisX.Minimum = 0;
_cumulativeRuntimeChart.ChartAreas[0].AxisX.Maximum = trials.Max();
if (_runtimeDistributionChart.Series.Count == 0)
_runtimeDistributionChart.Series.Add("Distribution");
_runtimeDistributionChart.Series[0].ChartType = SeriesChartType.Column;
var ssvm = new StatSummaryViewModel("Distribution", _runtimes);
_runtimeDistributionChart.ChartAreas[0].AxisX.Minimum = ssvm.Mean - 3 * ssvm.StdDev;
_runtimeDistributionChart.ChartAreas[0].AxisX.Maximum = ssvm.Mean + 3 * ssvm.StdDev;
var xValues = new List<double>();
var yValues = new List<int>();
for (var x = _runtimeDistributionChart.ChartAreas[0].AxisX.Minimum + (0.3 * ssvm.StdDev);
x <= _runtimeDistributionChart.ChartAreas[0].AxisX.Maximum;
x += (0.3 * ssvm.StdDev))
{
xValues.Add(x);
yValues.Add(_runtimes.Count(y => y.TotalMilliseconds <= x && y.TotalMilliseconds > x - (0.3 * ssvm.StdDev)));
}
_runtimeDistributionChart.ChartAreas[0].AxisY.Minimum = 0;
_runtimeDistributionChart.ChartAreas[0].AxisY.Maximum = yValues.Max();
_runtimeDistributionChart.Series[0].Points.DataBindXY(xValues, "Runtime (Milliseconds)", yValues, "Frequency");
_index++;
}
public StatSummaryControl(StatSummaryViewModel viewModel)
{
InitializeComponent();
ViewModel = viewModel;
}