public void Execute(TestParameters testParameters, TimeSpan duration, Action <double> fpsResult)
{
// Setup
var dataset = new DataSeriesSet <double, double>();
_xyDataSeries = new XyDataSeries <double, double>();
dataset.Add(_xyDataSeries);
sciChart.DataSet = dataset;
this.scatterSeries.AntiAliasing = testParameters.AntiAliasing;
ResamplingMode resamplingMode; if (!Enum.TryParse(testParameters.SamplingMode.ToString(), out resamplingMode))
{
resamplingMode = ResamplingMode.None;
}
this.scatterSeries.ResamplingMode = resamplingMode;
_generator = testParameters.DataDistribution == DataDistribution.Uniform ? (RandomPointsGenerator) new BrownianMotionPointsGenerator(0, 100, -50, 50) : new CorrelatedDataPointsGenerator(0, 100, -50, 50);
sciChart.XAxis.VisibleRange = new DoubleRange(0, 100);
sciChart.YAxis.VisibleRange = new DoubleRange(-50, 50);
var initialData = _generator.GetRandomPoints(testParameters.PointCount);
_xyDataSeries.Append(initialData.XData, initialData.YData);
// Execute
_testRunner = new DispatcherTimerRunner(duration, () => OnAppendData(testParameters.PointCount), fpsResult);
sciChart.Rendered += _testRunner.OnSciChartRendered;
_testRunner.Run();
}
public void Execute(TestParameters testParameters, TimeSpan duration, Action <double> fpsResult)
{
// Setup
var dataset = new DataSeriesSet <double, double>();
_xyDataSeries = new XyDataSeries <double, double>()
{
FifoCapacity = testParameters.PointCount
};
dataset.Add(_xyDataSeries);
sciChart.DataSet = dataset;
this.lineSeries.AntiAliasing = testParameters.AntiAliasing;
ResamplingMode resamplingMode;
if (!Enum.TryParse(testParameters.SamplingMode.ToString(), out resamplingMode))
{
resamplingMode = ResamplingMode.MinMax;
}
this.lineSeries.ResamplingMode = resamplingMode;
_generator = new RandomLinesGenerator();
var initialData = _generator.GetRandomLinesSeries(testParameters.PointCount);
_xyDataSeries.Append(initialData.XData, initialData.YData);
// Execute
_testRunner = new DispatcherTimerRunner(duration, OnAppendData, fpsResult);
sciChart.Rendered += _testRunner.OnSciChartRendered;
_testRunner.Run();
}
public void Execute(TestParameters testParameters, TimeSpan duration, Action <double> fpsResult)
{
var testParams = testParameters as LineAppendTestParameters;
ResamplingMode rMode;
if (!Enum.TryParse(testParams.SamplingMode.ToString(), out rMode))
{
rMode = ResamplingMode.MinMax;
}
line0.AntiAliasing = testParameters.AntiAliasing;
line0.ResamplingMode = rMode;
line1.AntiAliasing = testParameters.AntiAliasing;
line1.ResamplingMode = rMode;
line2.AntiAliasing = testParameters.AntiAliasing;
line2.ResamplingMode = rMode;
var dataset = new DataSeriesSet <double, double>();
dataset.Add(_mainSeries);
dataset.Add(_maLowSeries);
dataset.Add(_maHighSeries);
sciChart.DataSet = dataset;
xBuffer = new double[testParams.IncrementPoints];
yBuffer = new double[testParams.IncrementPoints];
maLowBuffer = new double[testParams.IncrementPoints];
maHighBuffer = new double[testParams.IncrementPoints];
// Execute
//
// Prime the chart with initial points
using (sciChart.SuspendUpdates())
AppendData(testParams.PointCount, testParams.Noisyness);
// Start the test runner
_testRunner = new CompositionTestRunner(duration, () => OnAppendData(testParams.Noisyness), fpsResult);
sciChart.Rendered += _testRunner.OnSciChartRendered;
_testRunner.Run();
}
private static void OnDataSeriesDependencyPropertyChanged(DependencyObject d, DependencyPropertyChangedEventArgs e)
{
var sciChartSurface = d as SciChartSurface;
if (sciChartSurface == null)
{
return;
}
if (e.NewValue == null)
{
sciChartSurface.RenderableSeries.Clear();
return;
}
using (sciChartSurface.SuspendUpdates())
{
sciChartSurface.RenderableSeries.Clear();
var random = new Random();
var itr = (IEnumerable <IDataSeries>)e.NewValue;
var renderSeries = new List <IRenderableSeries>();
// 1.7.2 specific
var dataset = new DataSeriesSet <double, double>();
foreach (var dataSeries in itr)
{
if (dataSeries == null)
{
continue;
}
// 1.7.2 specific
dataset.Add(dataSeries);
var rgb = new byte[3];
random.NextBytes(rgb);
var renderableSeries = new FastLineRenderableSeries()
{
ResamplingMode = ResamplingMode.MinMax,
SeriesColor = Color.FromArgb(255, rgb[0], rgb[1], rgb[2]),
DataSeries = dataSeries,
};
renderSeries.Add(renderableSeries);
}
// 1.7.2 specific
sciChartSurface.DataSet = dataset;
sciChartSurface.RenderableSeries = new ObservableCollection <IRenderableSeries>(renderSeries);
}
}