public static PlotModel ConstantBaselineItemsSource()
{
var plotModel1 = new PlotModel { Title = "AreaSeries with constant baseline", Subtitle = "ItemsSource and DataField2 not set, ConstantY2 = -20" };
var areaSeries1 = new AreaSeries();
var points = new[] { new DataPoint(0, 50), new DataPoint(10, 140), new DataPoint(20, 60) };
areaSeries1.ItemsSource = points;
areaSeries1.DataFieldX = "X";
areaSeries1.DataFieldY = "Y";
areaSeries1.ConstantY2 = -20;
plotModel1.Series.Add(areaSeries1);
return plotModel1;
}
private void UpdateChromatogramPlot()
{
var chroSeries = new AreaSeries();
chroSeries.Color = Colors.ColorBrewer8ClassSet2(255).Last();
for (int i = 0; i < ChromatogramData.PositionsArray[0].Length; i++)
{
chroSeries.Points.Add(new DataPoint(ChromatogramData.PositionsArray[0][i], ChromatogramData.IntensitiesArray[0][i]));
}
chromatogram.Series.Clear();
chromatogram.Series.Add(chroSeries);
double max = (from i in ChromatogramData.IntensitiesArray[0] select i).Max() * 1.5;
if (max <= 0)
{
max = 1000;
}
(chromatogram.Annotations[0] as LineAnnotation).X = RawData.RetentionTimeFromScanNumber(Convert.ToInt32(scanNumber.Text));
chromatogram.Axes[y].AbsoluteMaximum = max;
chromatogram.Axes[y].Maximum = chromatogram.Axes[y].AbsoluteMaximum;
chromatogram.InvalidatePlot(true);
}
private void GenerateSeries(string seriesType)
{
CategoricalAxis horizontalAxis = new CategoricalAxis();
LinearAxis verticalAxis = new LinearAxis();
verticalAxis.AxisType = AxisType.Second;
for (int i = 0; i < 2; i++)
{
CartesianSeries series;
if (seriesType == "Area")
{
series = new AreaSeries();
}
else
{
series = new LineSeries();
}
series.PointSize = new SizeF(5, 5);
series.HorizontalAxis = horizontalAxis;
series.VerticalAxis = verticalAxis;
series.BorderWidth = 2;
series.CategoryMember = "Month";
series.ValueMember = "Revenue";
series.DataSource = i == 0 ? collection1 : collection2;
series.ShowLabels = showLabels;
series.CombineMode = selectedCombineMode;
this.radChartView1.Series.Add(series);
}
}
private List <Series> DrawSelectedMember(TS_part selectedPart, TS_contour selectedContour, TS_reinforcement selectedReinforcement)
{
OxyColor selectedColor = OxyColors.Magenta;
List <Series> listaSerii = new List <Series>();
if (selectedPart != null)
{
TS_contour contour = selectedPart.Contour as TS_contour;
LineSeries seria_part = new LineSeries();
seria_part.Color = selectedColor;
seria_part.StrokeThickness = 2 * generalThickness;
seria_part.LineStyle = LineStyle.Dash;
foreach (var side in contour.Sides)
{
DataPoint point1 = new DataPoint(side.StartPoint.X, side.StartPoint.Y);
seria_part.Points.Add(point1);
DataPoint point2 = new DataPoint(side.EndPoint.X, side.EndPoint.Y);
seria_part.Points.Add(point2);
}
listaSerii.Add(seria_part);
}
if (selectedContour != null)
{
AreaSeries seria_cont = new AreaSeries();
seria_cont.Color = selectedColor;
seria_cont.StrokeThickness = 2 * generalThickness;
foreach (var side in selectedContour.Sides)
{
DataPoint point1 = new DataPoint(side.StartPoint.X, side.StartPoint.Y);
seria_cont.Points.Add(point1);
DataPoint point2 = new DataPoint(side.EndPoint.X, side.EndPoint.Y);
seria_cont.Points.Add(point2);
}
listaSerii.Add(seria_cont);
}
// to poniżej na pewno do poprawy
if (selectedReinforcement != null)
{
TS_reinforcement reo = selectedReinforcement;
ScatterSeries seria_reo = new ScatterSeries();
seria_reo.MarkerFill = selectedColor;
seria_reo.MarkerType = MarkerType.Circle;
foreach (var bar in reo.Bars)
{
ScatterPoint point = new ScatterPoint(bar.Coordinates.X, bar.Coordinates.Y);
point.Size = bar.Diameter * 100;
seria_reo.Points.Add(point);
}
listaSerii.Add(seria_reo);
}
return(listaSerii);
}
private RadCartesianChartView createChart(){
//Create the Chart View
RadCartesianChartView chart = new RadCartesianChartView(this.Activity);
LinearAxis verticalAxis = new LinearAxis();
//The values in the linear axis will not have values after the decimal point.
verticalAxis.LabelFormat= "%.0f";
CategoricalAxis horizontalAxis = new CategoricalAxis();
chart.VerticalAxis = verticalAxis;
chart.HorizontalAxis = horizontalAxis;
for (int i = 0; i < 3; i++) {
//Create the bar series and attach axes and value bindings.
AreaSeries areaSeries = new AreaSeries();
//We want to stack the different area series.
areaSeries.CombineMode = ChartSeriesCombineMode.Stack;
areaSeries.ValueBinding = new ValueBinding();
areaSeries.CategoryBinding = new CategoryBinding();
//Bind series to data
areaSeries.Data = this.getData();
//Add series to chart
chart.Series.Add(areaSeries);
}
ChartTrackBallBehavior tbBehavior = new ChartTrackBallBehavior(this.Activity);
tbBehavior.ShowIntersectionPoints = true;
chart.Behaviors.Add(tbBehavior);
return chart;
}
private void InitializePlot()
{
plotmodel = new PlotModel();
plotmodel.PlotAreaBorderThickness = new OxyThickness(0);
series = new AreaSeries {
MarkerType = MarkerType.None
};
series.StrokeThickness = 6.0;
series.LineStyle = LineStyle.Solid;
series.Color = OxyColors.DodgerBlue;
series.InterpolationAlgorithm = InterpolationAlgorithms.CanonicalSpline;
series.Fill = OxyColor.FromArgb(255, 240, 245, 255);
series.Color2 = OxyColors.Red;
plotmodel.Series.Add(series);
plotview.Model = plotmodel;
plotview.Model.InvalidatePlot(true);
foreach (var axis in plotview.Model.Axes)
{
axis.AxislineStyle = LineStyle.None;
axis.TickStyle = TickStyle.None;
axis.MajorStep = 1.0;
axis.Font = "Calibri";
axis.TextColor = OxyColors.DarkGray;
}
//plotview.Model.Axes[1].MajorStep = 5;
//plotview.Model.Axes[1].Minimum = 10;
//plotview.Model.Axes[1].Maximum = 30;
}
private RadCartesianChartView createChart()
{
//Create the Chart View
RadCartesianChartView chart = new RadCartesianChartView(this.Activity);
LinearAxis verticalAxis = new LinearAxis();
//The values in the linear axis will not have values after the decimal point.
verticalAxis.LabelFormat = "%.0f";
CategoricalAxis horizontalAxis = new CategoricalAxis();
chart.VerticalAxis = verticalAxis;
chart.HorizontalAxis = horizontalAxis;
for (int i = 0; i < 3; i++)
{
//Create the area series and attach axes and value bindings.
AreaSeries areaSeries = new AreaSeries();
//We want to stack the different area series.
areaSeries.CombineMode = ChartSeriesCombineMode.Stack;
areaSeries.ValueBinding = new ValueBinding();
areaSeries.CategoryBinding = new CategoryBinding();
//Bind series to data
areaSeries.Data = this.getData();
//Add series to chart
chart.Series.Add(areaSeries);
}
return(chart);
}
//return a functionserie for integral
public AreaSeries GetFunctionSerieIntegral(double lowerbound, double upperbound, ref double Result)
{
AreaSeries serie = new AreaSeries();
decimal result = 0;
double n = 20000, x1 = 0, x2 = 0;
double delta;
if (lowerbound <= upperbound)
{
x1 = lowerbound;
x2 = upperbound;
}
else
{
x1 = upperbound;
x2 = lowerbound;
}
delta = (x2 - x1) / n;
for (double x = x1; x <= x2; x += delta)
{
result += RootFunc.Calculate((decimal)x) * (decimal)delta;
DataPoint data = new DataPoint(x, (double)RootFunc.Calculate((decimal)x));
serie.Points.Add(data);
}
Result = (double)result;
return(serie);
}
private RadCartesianChartView createChart()
{
//Create the Chart View
RadCartesianChartView chart = new RadCartesianChartView(this.Activity);
//Create the area series and attach axes and value bindings.
AreaSeries areaSeries = new AreaSeries();
areaSeries.ValueBinding = new ValueBinding();
areaSeries.CategoryBinding = new CategoryBinding();
LinearAxis verticalAxis = new LinearAxis();
//The values in the linear axis will not have values after the decimal point.
verticalAxis.LabelFormat = "%.0f";
CategoricalAxis horizontalAxis = new CategoricalAxis();
areaSeries.VerticalAxis = verticalAxis;
areaSeries.HorizontalAxis = horizontalAxis;
//Bind series to data
areaSeries.Data = this.getData();
//Add series to chart
chart.Series.Add(areaSeries);
return(chart);
}
public void RebuildChartsPanel()
{
_plantAreaChartsPanel.Children.Clear();
foreach (MeasurableParameter measurableParameter in _measurableParameters)
{
if (measurableParameter != null)
{
Chart chart = new Chart
{
HorizontalAlignment = HorizontalAlignment.Left,
Width = 1100,
Height = 225,
BorderBrush = Brushes.Black,
Background = (LinearGradientBrush) MainWindow.ResourceDictionary["ChartBackground"],
Title = measurableParameter.MeasurableType,
};
AreaSeries areaSeries = new AreaSeries
{
IndependentValueBinding = new Binding("Key"),
DependentValueBinding = new Binding("Value"),
Title = measurableParameter.MeasurableType,
};
chart.Series.Add(areaSeries);
_plantAreaChartsPanel.Children.Add(chart);
}
}
DockPanel chartDescriptorPanel = CreateChartDescriptorPanel();
_plantAreaChartsPanel.Children.Add(chartDescriptorPanel);
}
public static IEnumerable <AreaSeries> StackLineSeries(
IList <LineSeries> series)
{
double[] total = new double[series[0].Points.Count];
for (int s = 0; s < series.Count; s++)
{
LineSeries lineSeries = series[s];
AreaSeries areaSeries = new AreaSeries()
{
Title = lineSeries.Title,
Color = lineSeries.Color,
};
for (int p = 0; p < lineSeries.Points.Count; p++)
{
double x = lineSeries.Points[p].X;
double y = lineSeries.Points[p].Y;
areaSeries.Points.Add(new DataPoint(x, total[p]));
total[p] += y;
areaSeries.Points2.Add(new DataPoint(x, total[p]));
}
yield return(areaSeries);
}
}
public void InitializeSpendingGraph()
{
var configConnectionString = ConfigurationManager.ConnectionStrings["mongodb"].ConnectionString;
var client = new MongoClient(configConnectionString);
var database = client.GetDatabase("projectdb");
var projectCollection = database.GetCollection <Project>("projectdbcollection");
var projectCollectionQueryable = projectCollection.AsQueryable();
var projectCollectionList = projectCollectionQueryable.ToList();
var project = projectCollectionList.First();
var areaSeries = new AreaSeries();
foreach (var category in project.Categories)
{
areaSeries.DataPoints.Add(new CategoricalDataPoint((double)category.Amount, category.CategoryName));
}
//areaSeries.DataPoints.Add(new CategoricalDataPoint(13, "Jan"));
//areaSeries.DataPoints.Add(new CategoricalDataPoint(20, "Apr"));
//areaSeries.DataPoints.Add(new CategoricalDataPoint(15, "Jul"));
//areaSeries.DataPoints.Add(new CategoricalDataPoint(16, "Oct"));
radChartViewSpendingGraph.Series.Add(areaSeries);
}
private async Task <PlotModel> GetInsulinModel(NightView nv)
{
var model = new PlotModel();
model.Axes.Add(new DateTimeAxis {
Position = AxisPosition.Bottom,
Minimum = DateTimeAxis.ToDouble(Start.LocalDateTime),
Maximum = DateTimeAxis.ToDouble(End.LocalDateTime)
});
model.Axes.Add(new LinearAxis {
Position = AxisPosition.Left,
Minimum = 0,
Maximum = 10
});
var basalSeries = new AreaSeries {
Title = "Basal rate", InterpolationAlgorithm = new PreviousValueInterpolationAlgorithm()
};
await foreach (var tv in nv.BasalRates(Start, End))
{
basalSeries.Points.Add(new DataPoint(DateTimeAxis.ToDouble(tv.Time.LocalDateTime), (double)tv.Value));
}
model.Series.Add(basalSeries);
return(model);
}
private void CreateSeriesPoints(ISparqlQueryResult result)
{
AreaSeries series = CreateSeries("Facts x 1000", OxyColor.Parse("#119eda"));
int d = 0;
int n = 0;
double y0 = 0;
double y1 = 0;
foreach (BindingSet binding in result.GetBindings())
{
DateTime x = DateTime.Parse(binding["time"].ToString());
double y = Convert.ToInt32(binding["facts"]);
if (n == 0)
{
y0 = y;
}
if (d != x.DayOfYear)
{
d = x.DayOfYear;
n++;
}
y1 = y;
series.Points.Add(DateTimeAxis.CreateDataPoint(x, y / 1000));
}
AverageDelta = n > 0 ? (y1 - y0) / n : 0;
Model.Series.Add(series);
}
public ScalarProgressionControl()
{
InitializeComponent();
m_Chart = chartControl1.Charts[0];
m_Line = (AreaSeries)m_Chart.Series[0];
m_Line.XValues.Clear();
m_Line.Values.Clear();
m_Line.UseXValues = true;
m_Line.Values.ValueFormatting.Format = ValueFormat.CustomNumber;
m_Line.Values.ValueFormatting.CustomFormat = "0.00";
m_Line.XValues.ValueFormatting.Format = ValueFormat.CustomNumber;
m_Line.XValues.ValueFormatting.CustomFormat = "0.00";
mChartGradientStartColor = Color.Red;
mChartGradientEndColor = Color.Yellow;
m_Line.AreaFillEffect.BeginColor = mChartGradientStartColor;
m_Line.AreaFillEffect.EndColor = mChartGradientEndColor;
m_Line.DataLabels.Mode = DataLabelsMode.None;
mMinX = 0;
mMaxX = 100;
mMinY = -100;
mMaxY = 100;
mDefaultValue0 = mMinY;
mDefaultValue1 = mMaxY;
setAxisMinMax(mMinX, mMaxX, mMinY, mMaxY);
enableLoopControl(LoopControl);
}
public void AreaSeries()
{
var s1 = new OxyPlot.Series.AreaSeries();
var s2 = new AreaSeries();
OxyAssert.PropertiesAreEqual(s1, s2);
}
public void DrawArea(
string title,
IEnumerable x1,
IEnumerable y1,
IEnumerable x2,
IEnumerable y2,
Models.Graph.Axis.AxisType xAxisType,
Models.Graph.Axis.AxisType yAxisType,
Color colour,
bool showOnLegend)
{
AreaSeries series = new AreaSeries();
series.Color = OxyColor.FromArgb(colour.A, colour.R, colour.G, colour.B);
series.Fill = OxyColor.FromArgb(colour.A, colour.R, colour.G, colour.B);
List <DataPoint> points = this.PopulateDataPointSeries(x1, y1, xAxisType, yAxisType);
List <DataPoint> points2 = this.PopulateDataPointSeries(x2, y2, xAxisType, yAxisType);
if (points != null && points2 != null)
{
foreach (DataPoint point in points)
{
series.Points.Add(point);
}
foreach (DataPoint point in points2)
{
series.Points2.Add(point);
}
}
series.CanTrackerInterpolatePoints = false;
this.plot1.Model.Series.Add(series);
}
public static PlotModel AreaSeries()
{
var model = new PlotModel {
Title = "AreaSeries"
};
model.Axes.Add(new LinearAxis()
{
Title = "Day", Position = AxisPosition.Bottom
});
model.Axes.Add(new LinearAxis()
{
Title = "Output", Position = AxisPosition.Left
});
var areaSeries = new AreaSeries()
{
Color2 = OxyColors.Transparent
};
var r = new Random(1);
var dailyOutput = 10;
for (int i = 0; i <= 100; i++)
{
areaSeries.Points.Add(new DataPoint(i, dailyOutput));
//areaSeries.Points2.Add(new DataPoint(i, 0));
dailyOutput = Math.Max(0, dailyOutput + r.Next(-2, 3));
}
model.Series.Add(areaSeries);
return(model);
}
private AreaSeries createPercentileAreaSeries(SemanticHistogramDatum datum)
{
AreaSeries series = new AreaSeries();
if (datum == this.EnergyHistogramDatumFirst)
{
series.Title = "A：" + datum.SemanticLink.Semantics;
}
else
{
series.Title = "B：" + datum.SemanticLink.Semantics;
}
double sumValue = datum.HistogramData.Sum(v => v.Value);
series.Points.Add(new DataPoint(datum.MinLevel - datum.ClassWidth, 0));
foreach (LevelAndValue item in datum.HistogramData)
{
series.Points.Add(new DataPoint(item.Level, item.Value * 100 / sumValue));
}
series.Points.Add(new DataPoint(datum.MaxLevel + datum.ClassWidth, 0));
return(series);
}
public static PlotModel DefaultAnnotationLayer()
{
var plotModel1 = new PlotModel {
Title = "Annotations should be drawn on top by default", Subtitle = "The line annotation should be on top!"
};
var areaSeries1 = new AreaSeries();
areaSeries1.Points.Add(new DataPoint(0, 50));
areaSeries1.Points.Add(new DataPoint(10, 40));
areaSeries1.Points.Add(new DataPoint(20, 60));
areaSeries1.Points2.Add(new DataPoint(0, 60));
areaSeries1.Points2.Add(new DataPoint(5, 80));
areaSeries1.Points2.Add(new DataPoint(20, 70));
areaSeries1.Color = OxyColors.Red;
areaSeries1.Color2 = OxyColors.Blue;
areaSeries1.Fill = OxyColors.Yellow;
plotModel1.Series.Add(areaSeries1);
var lineAnnotation = new LineAnnotation
{
Type = LineAnnotationType.Vertical,
Layer = AnnotationLayer.AboveSeries,
X = 6
};
plotModel1.Annotations.Add(lineAnnotation);
return(plotModel1);
}
private static PlotModel CreateKochSnowflake(int n, bool areaSeries = false)
{
var data = new[]
{
new DataPoint(-1, 0),
new DataPoint(1, 0),
new DataPoint(0, Math.Sqrt(3)), new DataPoint(-1, 0)
};
for (int i = 0; i < n; i++)
{
data = Fractalise(data, KochDetail);
}
var model = new PlotModel {
Title = "Koch Snowflake", PlotType = PlotType.Cartesian
};
if (areaSeries)
{
var s = new AreaSeries {
ItemsSource = data, LineJoin = OxyPenLineJoin.Bevel, Fill = OxyColors.LightGray
};
model.Series.Add(s);
}
else
{
var ls = new LineSeries {
ItemsSource = data, LineJoin = OxyPenLineJoin.Bevel
};
model.Series.Add(ls);
}
return(model);
}
public void ConvertSeriesItems_ChartAreaDataWithRandomPointData_ConvertsAllPointsToAreaSeries()
{
// Setup
var converter = new ChartAreaDataConverter();
var areaSeries = new AreaSeries();
var random = new Random(21);
int randomCount = random.Next(5, 10);
var points = new Collection <Point2D>();
for (var i = 0; i < randomCount; i++)
{
points.Add(new Point2D(random.NextDouble(), random.NextDouble()));
}
var areaData = new ChartAreaData("test data")
{
Points = points.ToArray()
};
// Call
converter.ConvertSeriesData(areaData, areaSeries);
// Assert
DataPoint[] expectedPoints = points.Select(t => new DataPoint(t.X, t.Y)).ToArray();
CollectionAssert.AreEqual(expectedPoints, areaSeries.Points);
CollectionAssert.AreEqual(new Collection <DataPoint>
{
expectedPoints.First()
}, areaSeries.Points2);
}
private void CreateSeriesPoints(ISparqlQueryResult result)
{
AreaSeries series = CreateSeries("Size / MB", OxyColors.Orange);
int d = 0;
int n = 0;
double y0 = 0;
double y1 = 0;
foreach (BindingSet binding in result.GetBindings())
{
DateTime x = DateTime.Parse(binding["time"].ToString());
double y = Convert.ToDouble(binding["size"]);
if (n == 0)
{
y0 = y;
}
if (d != x.DayOfYear)
{
d = x.DayOfYear;
n++;
}
y1 = y;
series.Points.Add(DateTimeAxis.CreateDataPoint(x, ToMegaByte(y, 2)));
}
AverageDelta = n > 0 ? ToKiloByte((y0 - y1) / n, 2) : 0;
Model.Series.Add(series);
}
private RadCartesianChartView createChart(){
//Create the Chart View
RadCartesianChartView chart = new RadCartesianChartView(this.Activity);
//Create the area series and attach axes and value bindings.
AreaSeries areaSeries = new AreaSeries();
areaSeries.ValueBinding = new ValueBinding();
areaSeries.CategoryBinding = new CategoryBinding();
LinearAxis verticalAxis = new LinearAxis();
//The values in the linear axis will not have values after the decimal point.
verticalAxis.LabelFormat = "%.0f";
CategoricalAxis horizontalAxis = new CategoricalAxis();
horizontalAxis.LabelInterval = 10;
horizontalAxis.LabelFitMode = AxisLabelFitMode.MultiLine;
areaSeries.VerticalAxis = verticalAxis;
areaSeries.HorizontalAxis = horizontalAxis;
//Bind series to data
areaSeries.Data = this.getData();
//Add series to chart
chart.Series.Add(areaSeries);
ChartPanAndZoomBehavior pzBehavior = new ChartPanAndZoomBehavior();
pzBehavior.PanMode = ChartPanZoomMode.Both;
pzBehavior.ZoomMode = ChartPanZoomMode.Both;
chart.Behaviors.Add(pzBehavior);
return chart;
}
public MemberPlotModel(Member member, string color, DamagePlotMode mode)
{
Member = member;
Series = new AreaSeries();
ChangeMode(mode);
ChangeColor(color);
}
/// <summary>
/// Initialize the object.
/// </summary>
public PlotData()
{
// Store the Profile data
ProfileData = null;
// Create a Bottom Track series
BottomTrackData = null;
}
public static IPlotModel GetPlotModel(MeasurementHistory historyData, SensorClass sensorClass, string sensorName)
{
var graphDataPoints = new List <GraphData>();
foreach (var item in historyData.Values.OrderBy(i => i.Timestamp))
{
graphDataPoints.Add(new GraphData()
{
Y = double.Parse(item.Value, CultureInfo.InvariantCulture),
X = item.Timestamp
});
}
var theme = (ColorThemeEnum)Preferences.Get(ColorTheme.ColorThemePreferenceName, 0);
var plotModel = new ViewResolvingPlotModel()
{
Title = $"{sensorName} ({historyData.Unit})"
};
var ls = new AreaSeries()
{
DataFieldX = "X", DataFieldY = "Y", ItemsSource = graphDataPoints
};
plotModel.Series.Add(ls);
// If values are all same, use custom min/max values to show graph
var minValue = GetMinimumValue(graphDataPoints, sensorClass);
var maxValue = GetMaximumValue(graphDataPoints, sensorClass);
if (minValue == maxValue)
{
minValue = minValue - 5;
maxValue = maxValue + 5;
}
plotModel.Axes.Add(GetLinearAxis(theme, AxisPosition.Left, minValue, maxValue, GetMajorStep(minValue, maxValue, sensorClass)));
plotModel.Axes.Add(GetLinearAxis(theme, AxisPosition.Right, minValue, maxValue, GetMajorStep(minValue, maxValue, sensorClass)));
plotModel.Axes.Add(GetDateTimeAxis(theme));
switch (theme)
{
default:
case ColorThemeEnum.Gray:
plotModel.TitleColor = OxyColors.WhiteSmoke;
plotModel.PlotAreaBorderColor = OxyColors.DimGray;
((LineSeries)plotModel.Series[0]).Color = OxyColor.Parse("#FF9FA8DA");
break;
case ColorThemeEnum.Light:
plotModel.TitleColor = OxyColors.Black;
plotModel.PlotAreaBorderColor = OxyColors.Black;
((LineSeries)plotModel.Series[0]).Color = OxyColor.Parse("#FF3F51B5");
break;
}
return(plotModel);
}
public override void InitialValues()
{
AreaSeries series = (AreaSeries)DefaultControlToTest;
TestAsync(
series,
() => Assert.IsNull(series.Geometry),
() => Assert.IsNotNull(series.PathStyle));
}
private AreaSeries createPercentSeries(SemanticGraph semanticGraph)
{
AreaSeries series = new AreaSeries();
series.Title = semanticGraph.SemanticLink.Semantics;
series.MouseDown += (s, e) =>
{
if (e.ChangedButton == OxyMouseButton.Left)
{
if (SelectedSemanticLinks.Count > 0)
{
var dialog = new MainPageCompareDialog
{
Message = { Text = semanticGraph.SemanticLink.Semantics },
TripDirection = this.TripDirection,
SelectedSemanticLinks = this.SelectedSemanticLinks.ToList(),
SemanticLink = semanticGraph.SemanticLink,
ViewModel = this
};
DialogHost.Show(dialog, "RootDialog");
}
else
{
var dialog = new MainPageShowDetailDialog
{
Message = { Text = semanticGraph.SemanticLink.Semantics },
TripDirection = this.TripDirection,
SemanticLink = semanticGraph.SemanticLink,
ViewModel = this
};
DialogHost.Show(dialog, "RootDialog");
}
}
};
SemanticHistogramDatum datum = this.TimeHistogramData
.Where(v => v.SemanticLink.SemanticLinkId == semanticGraph.SemanticLink.SemanticLinkId)
.ElementAt(0);
series.Points.Add(new DataPoint(datum.MinLevel - datum.ClassWidth, 0));
foreach (LevelAndValue item in datum.HistogramData)
{
series.Points.Add(new DataPoint(item.Level, item.Value * 100 / datum.HistogramData.Sum(v => v.Value)));
}
series.Points.Add(new DataPoint(datum.MaxLevel + datum.ClassWidth, 0));
AreaSeriesList.Add(series);
semanticGraph.Series = series;
return(series);
}
private void CalculateResourceChartPlotModel()
{
lock (m_Lock)
{
IList <ResourceSeriesDto> resourceSeriesSet = ResourceSeriesSet;
PlotModel plotModel = null;
if (resourceSeriesSet != null &&
resourceSeriesSet.Any())
{
plotModel = new PlotModel();
plotModel.Axes.Add(BuildResourceChartXAxis());
plotModel.Axes.Add(BuildResourceChartYAxis());
plotModel.LegendPlacement = LegendPlacement.Outside;
plotModel.LegendPosition = LegendPosition.RightMiddle;
var total = new List <int>();
m_DateTimeCalculator.UseBusinessDays(UseBusinessDays);
foreach (ResourceSeriesDto series in resourceSeriesSet)
{
if (series != null)
{
var areaSeries = new AreaSeries
{
Smooth = false,
StrokeThickness = 0.0,
Title = series.Title,
Color = OxyColor.FromArgb(
series.ColorFormatDto.A,
series.ColorFormatDto.R,
series.ColorFormatDto.G,
series.ColorFormatDto.B)
};
for (int i = 0; i < series.Values.Count; i++)
{
int j = series.Values[i];
if (i >= total.Count)
{
total.Add(0);
}
areaSeries.Points.Add(
new DataPoint(ChartHelper.CalculateChartTimeXValue(i, ShowDates, ProjectStart, m_DateTimeCalculator),
total[i]));
total[i] += j;
areaSeries.Points2.Add(
new DataPoint(ChartHelper.CalculateChartTimeXValue(i, ShowDates, ProjectStart, m_DateTimeCalculator),
total[i]));
}
plotModel.Series.Add(areaSeries);
}
}
}
ResourceChartPlotModel = plotModel;
}
RaiseCanExecuteChangedAllCommands();
}
public static PlotModel ConstantBaseline()
{
var plotModel1 = new PlotModel { Title = "AreaSeries with constant baseline", Subtitle = "Empty Points2, ConstantY2 = 0 (default)" };
var areaSeries1 = new AreaSeries();
areaSeries1.Points.Add(new DataPoint(0, 50));
areaSeries1.Points.Add(new DataPoint(10, 140));
areaSeries1.Points.Add(new DataPoint(20, 60));
plotModel1.Series.Add(areaSeries1);
return plotModel1;
}
private static AreaSeries CreateExampleSeries2()
{
var areaSeries1 = new AreaSeries();
areaSeries1.Points.Add(new DataPoint(0, 50));
areaSeries1.Points.Add(new DataPoint(10, 140));
areaSeries1.Points.Add(new DataPoint(20, 60));
areaSeries1.Points2.Add(new DataPoint(0, 60));
areaSeries1.Points2.Add(new DataPoint(5, 80));
areaSeries1.Points2.Add(new DataPoint(20, 70));
return areaSeries1;
}
/// <summary>
/// Add Bottom Track line series. This will be a line to mark the bottom.
/// </summary>
private void PlotBtSeries(AreaSeries series)
{
// Lock the plot for an update
lock (Plot.SyncRoot)
{
Plot.Series.Add(series);
}
// Then refresh the plot
Plot.InvalidatePlot(true);
}
/// <summary>
/// Draws the path.
/// </summary>
/// <param name="series">The series.</param>
/// <param name="brush">The brush.</param>
/// <param name="strokeThickness">The stroke thickness.</param>
protected override void DrawPath(SeriesBase series, Brush brush, double strokeThickness)
{
if (series is AreaSeries)
{
AreaSeries areaSeries = series as AreaSeries;
PartsCanvas.Children.Clear();
foreach (SeriesPartBase part in areaSeries.Parts)
{
PartsCanvas.Children.Add(part.CreatePart());
}
}
}
private static AreaSeries CreateExampleAreaSeries()
{
var areaSeries1 = new AreaSeries();
areaSeries1.Points.Add(new DataPoint(0, 50));
areaSeries1.Points.Add(new DataPoint(10, 40));
areaSeries1.Points.Add(new DataPoint(20, 60));
areaSeries1.Points2.Add(new DataPoint(0, 60));
areaSeries1.Points2.Add(new DataPoint(5, 80));
areaSeries1.Points2.Add(new DataPoint(20, 70));
return(areaSeries1);
}
private void AddSeries(int id)
{
AreaSeries areaSeries = new AreaSeries();
areaSeries.PointsSource = ViewModel.Data[id];
areaSeries.XPath = "Time";
areaSeries.YPath = "Value";
areaSeries.Stroke = new SolidColorBrush((Color)ColorConverter.ConvertFromString("#FF117DBB"));
areaSeries.Fill = new SolidColorBrush((Color)ColorConverter.ConvertFromString("#11117DBB"));
areaSeries.StrokeThickness = 1.0;
Chart.Series.Add(areaSeries);
}
public static PlotModel CrossingLines()
{
var plotModel1 = new PlotModel { Title = "AreaSeries with crossing lines" };
var areaSeries1 = new AreaSeries();
areaSeries1.Points.Add(new DataPoint(0, 50));
areaSeries1.Points.Add(new DataPoint(10, 140));
areaSeries1.Points.Add(new DataPoint(20, 60));
areaSeries1.Points2.Add(new DataPoint(0, 60));
areaSeries1.Points2.Add(new DataPoint(5, 80));
areaSeries1.Points2.Add(new DataPoint(20, 70));
plotModel1.Series.Add(areaSeries1);
return plotModel1;
}
public static PlotModel AreaSeries_CanTrackerInterpolatePointsTrue()
{
var plotModel1 = new PlotModel { Title = "AreaSeries with CanTrackerInterpolatePoints=true" };
var areaSeries1 = new AreaSeries { CanTrackerInterpolatePoints = true };
areaSeries1.Points.Add(new DataPoint(0, 50));
areaSeries1.Points.Add(new DataPoint(10, 40));
areaSeries1.Points.Add(new DataPoint(20, 60));
areaSeries1.Points2.Add(new DataPoint(0, 60));
areaSeries1.Points2.Add(new DataPoint(5, 80));
areaSeries1.Points2.Add(new DataPoint(20, 70));
plotModel1.Series.Add(areaSeries1);
return plotModel1;
}
public override View GetSampleContent(Context context)
{
var chart = new SfChart(context);;
chart.SetBackgroundColor(Color.White);
chart.PrimaryAxis = new CategoryAxis {PlotOffset = 20};
chart.SecondaryAxis = new NumericalAxis();
var areaSeries = new AreaSeries
{
StrokeWidth = 5,
Color = MainPage.ConvertHexaToColor(0x90FEBE17),
Alpha = 0.5f,
StrokeColor = MainPage.ConvertHexaToColor(0xFFFEBE17),
DataSource = MainPage.GetAreaData(),
};
chart.Series.Add(areaSeries);
return chart;
}
private RadCartesianChartView createChart() {
//Create the Chart View
RadCartesianChartView chart = new RadCartesianChartView(this.Activity);
LinearAxis verticalAxis = new LinearAxis();
//The values in the linear axis will not have values after the decimal point.
verticalAxis.LabelFormat = "%.0f";
CategoricalAxis horizontalAxis = new CategoricalAxis();
chart.VerticalAxis = verticalAxis;
chart.HorizontalAxis = horizontalAxis;
for (int i = 0; i < 3; i++) {
//Create the bar series and attach axes and value bindings.
AreaSeries areaSeries = new AreaSeries();
//We want to stack the different area series.
areaSeries.CombineMode = ChartSeriesCombineMode.Stack;
areaSeries.ValueBinding = new ValueBinding();
areaSeries.CategoryBinding = new CategoryBinding();
//Bind series to data
areaSeries.Data = this.getData();
//Add series to chart
chart.Series.Add(areaSeries);
}
ChartPalette defaultPaletteClone = new ChartPalette(chart.Palette);
// We acquire the palette entry containing the settings for the third series in the chart setup.
PaletteEntry areaSeriesEntry = defaultPaletteClone.GetEntry(ChartPalette.AreaFamily, 2);
//We set the fill color of the third series to be cyan.
areaSeriesEntry.Fill = Color.Cyan;
//We reset the chart palette by applying the new one.
chart.Palette = defaultPaletteClone;
return chart;
}
public static PlotModel FilteringInvalidPointsAreaSeries()
{
var plot = new PlotModel { Title = "Filtering NaN points in an AreaSeries" };
plot.Axes.Add(new LinearAxis { Position = AxisPosition.Bottom });
plot.Axes.Add(new LinearAxis { Position = AxisPosition.Left });
var as1 = new AreaSeries();
as1.Points.Add(new DataPoint(1, 0));
as1.Points.Add(new DataPoint(2, 10));
as1.Points.Add(new DataPoint(3, 10));
as1.Points.Add(new DataPoint(4, 0));
as1.Points.Add(new DataPoint(5, 0));
as1.Points.Add(new DataPoint(6, 7));
as1.Points.Add(new DataPoint(7, 7));
as1.Points.Add(new DataPoint(double.NaN, double.NaN));
as1.Points.Add(new DataPoint(double.NaN, double.NaN));
as1.Points.Add(new DataPoint(8, 0));
as1.Points.Add(new DataPoint(9, 0));
as1.Points.Add(new DataPoint(double.NaN, double.NaN));
as1.Points2.Add(new DataPoint(1, 10));
as1.Points2.Add(new DataPoint(2, 110));
as1.Points2.Add(new DataPoint(3, 110));
as1.Points2.Add(new DataPoint(4, 10));
as1.Points2.Add(new DataPoint(5, 10));
as1.Points2.Add(new DataPoint(6, 17));
as1.Points2.Add(new DataPoint(7, 17));
as1.Points2.Add(new DataPoint(double.NaN, double.NaN));
as1.Points2.Add(new DataPoint(double.NaN, double.NaN));
as1.Points2.Add(new DataPoint(8, 10));
as1.Points2.Add(new DataPoint(9, 10));
as1.Points2.Add(new DataPoint(double.NaN, double.NaN));
plot.Series.Add(as1);
return plot;
}
private RadCartesianChartView createChart(){
//Create the Chart View
RadCartesianChartView chart = new RadCartesianChartView(this.Activity);
//Create the area series and attach axes and value bindings.
AreaSeries areaSeries = new AreaSeries();
areaSeries.ValueBinding = new ValueBinding();
areaSeries.CategoryBinding = new CategoryBinding();
LinearAxis verticalAxis = new LinearAxis();
//The values in the linear axis will not have values after the decimal point.
verticalAxis.LabelFormat = "%.0f";
CategoricalAxis horizontalAxis = new CategoricalAxis();
areaSeries.VerticalAxis = verticalAxis;
areaSeries.HorizontalAxis = horizontalAxis;
//Bind series to data
areaSeries.Data = this.getData();
//Add series to chart
chart.Series.Add(areaSeries);
return chart;
}
public async void UpdateChart(bool isSelectedChanged = false)
{
if (!IsSelected)
{
if (ForecastContainer != null)
{
ForecastContainer.Height = 0;
}
_animationPlayed = false;
return;
}
if (!_initialized)
{
FindName(nameof(ForecastContainer));
ForecastContainer.Height = 0;
ValueAxis.Minimum = 0;
ValueAxis.Maximum = 100;
ValueAxis.Interval = 10;
SelectionComboBox.ItemsSource = ComboBoxValues;
SelectionComboBox.SelectedItem = ComboBoxValues[0];
SelectionComboBox.SelectionChanged += (sender, args) => UpdateChart();
ForecastContainer.Loaded += (sender, args) =>
{
if (!_containerDesiredHeight.HasValue)
{
_containerDesiredHeight = ForecastChart.DesiredSize.Height +
SelectionComboBox.DesiredSize.Height;
if (isSelectedChanged)
{
BeginSlideOutAnimation();
}
}
};
}
BeginSlideOutAnimation();
var vm = ServiceLocator.Current.GetInstance<MainViewModel>();
if (!vm.InternetAvailable)
{
return;
}
var parkingLot = DataContext as ParkingLot;
if (parkingLot != null && parkingLot.HasForecast)
{
if (_initialized)
{
ForecastChart.Series.Clear();
}
var timeSpanSelection = SelectionComboBox.SelectedItem as ParkingLotForecastTimespanSelection;
var timeSpan = timeSpanSelection?.TimeSpan;
if (timeSpan.HasValue)
{
ForecastChart.Opacity = 0.2;
LoadingProgressRing.Visibility = Visibility.Visible;
await Task.Factory.StartNew(async () =>
{
var api = ServiceLocator.Current.GetInstance<IParkenDdClient>();
var mainVm = ServiceLocator.Current.GetInstance<MainViewModel>();
var now = DateTime.Now;
var startDate = _cachedForecastEndDate?.AddMinutes(30) ?? now;
var endDate = now.Add(timeSpan.Value);
if (endDate > startDate)
{
Forecast forecast;
try
{
forecast = await
api.GetForecastAsync(mainVm.SelectedCity.Id, parkingLot.Id, startDate, endDate);
}
catch (ApiException e)
{
ServiceLocator.Current.GetInstance<ExceptionService>().HandleApiExceptionForForecastData(e, mainVm.SelectedCity, parkingLot);
return;
}
_cachedForecast.AddRange(forecast.Data.Select(
item => new ParkingLotForecastDataPoint(item.Value, item.Key)));
if (_cachedForecastEndDate.HasValue)
{
if (_cachedForecastEndDate.Value < endDate)
{
_cachedForecastEndDate = endDate;
}
}
else
{
_cachedForecastEndDate = endDate;
}
}
var points = _cachedForecast.Where(x => x.Time >= now && x.Time <= now.Add(timeSpan.Value));
DispatcherHelper.CheckBeginInvokeOnUI(() =>
{
var series = new AreaSeries
{
ItemsSource = points,
IndependentValuePath = "Time",
DependentValuePath = "Value",
Style = Application.Current.Resources["ParkingLotForecastChartAreaSeriesStyle"] as Style
};
ForecastChart.Series.Add(series);
ForecastChart.Opacity = 1;
LoadingProgressRing.Visibility = Visibility.Collapsed;
});
if (!_initialized)
{
ServiceLocator.Current.GetInstance<TrackingService>()?
.TrackForecastRangeEvent(parkingLot, timeSpanSelection?.Mode);
}
_initialized = true;
});
}
}
}
private AreaSeries ToAreaSeries(IEnumerable<KeyValuePair<double, double>> points, double integralValue)
{
var result = new AreaSeries
{
Title = integralValue.ToString(),
};
var p = points.ToList();
result.Points.Add(new DataPoint(p[0].Key,0));
for (int i = 0; i < p.Count-1; i++)
{
result.Points.Add(new DataPoint(p[i].Key, p[i].Value));
result.Points.Add(new DataPoint(p[i + 1].Key, p[i].Value));
}
result.Points.Add(new DataPoint(p[p.Count-1].Key,0));
result.Points.Add(new DataPoint(p[0].Key, 0));
return result;
}
public void AreaSeries()
{
var s1 = new OxyPlot.Series.AreaSeries();
var s2 = new AreaSeries();
OxyAssert.PropertiesAreEqual(s1, s2);
}
private AreaSeries createAreaSeries(SemanticHistogramDatum datum)
{
AreaSeries series = new AreaSeries();
if (datum == this.EnergyHistogramDatumFirst)
series.Title = "A：" + datum.SemanticLink.Semantics;
else
series.Title = "B：" + datum.SemanticLink.Semantics;
series.Points.Add(new DataPoint(datum.MinLevel - datum.ClassWidth, 0));
foreach (LevelAndValue item in datum.HistogramData)
{
series.Points.Add(new DataPoint(item.Level, item.Value));
}
series.Points.Add(new DataPoint(datum.MaxLevel + datum.ClassWidth, 0));
return series;
}
public void DrawArea(
string title,
IEnumerable x1,
IEnumerable y1,
IEnumerable x2,
IEnumerable y2,
Models.Graph.Axis.AxisType xAxisType,
Models.Graph.Axis.AxisType yAxisType,
Color colour,
bool showOnLegend)
{
AreaSeries series = new AreaSeries();
series.Color = ConverterExtensions.ToOxyColor(colour);
series.Fill = ConverterExtensions.ToOxyColor(colour);
List<DataPoint> points = this.PopulateDataPointSeries(x1, y1, xAxisType, yAxisType);
List<DataPoint> points2 = this.PopulateDataPointSeries(x2, y2, xAxisType, yAxisType);
if (points != null && points2 != null)
{
foreach (DataPoint point in points)
{
series.Points.Add(point);
}
foreach (DataPoint point in points2)
{
series.Points2.Add(point);
}
}
series.CanTrackerInterpolatePoints = false;
this.plot1.Model.Series.Add(series);
}
private void updateChart()
{
var instance = SelectedDistribution.Instance;
var plot = SelectedDistribution.Measures.CreatePDF();
var colorTrue = OxyColor.FromRgb(250, 0, 0);
var colorFalse = OxyColor.FromRgb(200, 200, 200);
if (Double.IsNaN(RightValue))
return;
if (instance is UnivariateDiscreteDistribution)
{
ValueStep = 1;
string comparison = Comparisons[selectedIndex];
var x = SelectedDistribution.Measures.XAxis;
var y = SelectedDistribution.Measures.YAxis;
var series = plot.Series[0] as ColumnSeries;
if (comparison == EqualTo)
{
int index = Array.IndexOf(x, (int)RightValue);
if (index >= 0)
series.Items[index].Color = (index >= 0) ? colorTrue : colorFalse;
}
else
{
switch (comparison)
{
case LessThan:
for (int i = 0; i < x.Length; i++)
series.Items[i].Color = (x[i] <= RightValue) ? colorTrue : colorFalse;
break;
case GreaterThan:
for (int i = 0; i < x.Length; i++)
series.Items[i].Color = (x[i] > RightValue) ? colorTrue : colorFalse;
break;
case Between:
for (int i = 0; i < x.Length; i++)
series.Items[i].Color = (x[i] > LeftValue && x[i] <= RightValue) ? colorTrue : colorFalse;
break;
case Outside:
for (int i = 0; i < x.Length; i++)
series.Items[i].Color = (x[i] <= LeftValue || x[i] > RightValue) ? colorTrue : colorFalse;
break;
default:
break;
}
}
}
else
{
ValueStep = SelectedDistribution.Measures.Range.Length / 100.0;
string comparison = Comparisons[selectedIndex];
var x = SelectedDistribution.Measures.XAxis;
var y = SelectedDistribution.Measures.YAxis;
if (comparison == EqualTo)
{
var area = new LineSeries();
area.XAxisKey = "xAxis";
area.YAxisKey = "yAxis";
area.MarkerType = MarkerType.Circle;
area.MarkerSize = 10;
area.Points.Add(new DataPoint(RightValue, Probability));
plot.Series.Add(area);
}
else
{
var left = new AreaSeries();
left.XAxisKey = "xAxis";
left.YAxisKey = "yAxis";
left.Fill = colorTrue;
left.Smooth = true;
var right = new AreaSeries();
right.XAxisKey = "xAxis";
right.YAxisKey = "yAxis";
right.Fill = colorTrue;
right.Smooth = true;
switch (comparison)
{
case LessThan:
for (int i = 0; i < x.Length; i++)
if (x[i] <= RightValue)
left.Points.Add(new DataPoint(x[i], y[i]));
break;
case GreaterThan:
for (int i = 0; i < x.Length; i++)
if (x[i] > RightValue)
left.Points.Add(new DataPoint(x[i], y[i]));
break;
case Between:
for (int i = 0; i < x.Length; i++)
if (x[i] >= LeftValue && x[i] < RightValue)
left.Points.Add(new DataPoint(x[i], y[i]));
break;
case Outside:
for (int i = 0; i < x.Length; i++)
{
if (x[i] <= LeftValue)
left.Points.Add(new DataPoint(x[i], y[i]));
if (x[i] >= RightValue)
right.Points.Add(new DataPoint(x[i], y[i]));
}
break;
default:
break;
}
foreach (var point in left.Points)
left.Points2.Add(new DataPoint(point.X, 0));
foreach (var point in right.Points)
right.Points2.Add(new DataPoint(point.X, 0));
if (left.Points.Count > 0)
plot.Series.Add(left);
if (right.Points.Count > 0)
plot.Series.Add(right);
}
}
this.DensityFunction = plot;
}
/// <summary>
/// Function that plots a <see cref="Measurement"/> to the <see cref="MeasurementsPlotModel"/>.
/// </summary>
/// <param name="measurement"><see cref="Measurement"/> to be plotted.</param>
public void PlotMeasurement(Measurement measurement)
{
if (SelectedDataBindingInterval > 0 && measurement.EnergyCalLinear > SelectedDataBindingInterval)
{ MessageBox.Show("Selected data binding interval is smaller than the actual channel spacing!", "Error"); SelectedDataBindingInterval = 0; return; }
OfflineUpdateTimer.Stop();
var MeassuredPlot = new AreaSeries
{
Tag = measurement,
StrokeThickness = 2,
MarkerSize = 3,
Color = LineColors[measurement.MeasurementID % LineColors.Count],
CanTrackerInterpolatePoints = false,
Title = GetMeasurementTitle(measurement),
Smooth = false,
};
var SimulatedPlot = new AreaSeries
{
Tag = measurement,
StrokeThickness = 2,
MarkerSize = 3,
Color = LineColors[measurement.MeasurementID % LineColors.Count],
CanTrackerInterpolatePoints = false,
Title = GetMeasurementTitle(measurement) + " (Sim.)",
Smooth = false,
};
float[] spectrumX = measurement.SpectrumXCal;
int[] spectrumY = measurement.SpectrumY;
int[] spectrumYCalculated = measurement.SpectrumYSimulated;
if (spectrumYCalculated == null || ShowSimulatedSpectra == false)
{
spectrumYCalculated = new int[measurement.NumOfChannels];
}
// Remove "Counts<CutOffCounts" data points from start/end of the spectra
int BorderOffset = 200;
double CutOffCounts = spectrumY.Max() * CutOffCountsPercent / 100;
if (CutOffCounts == 0) CutOffCounts = 1;
int rightBorderIndex = spectrumY.Count();
while (spectrumY[rightBorderIndex - 1] < CutOffCounts && rightBorderIndex > 2) rightBorderIndex--;
int leftBorderIndex = 0;
while (spectrumY[leftBorderIndex] < CutOffCounts && leftBorderIndex < spectrumY.Count() - 2) leftBorderIndex++;
if (rightBorderIndex < 5) rightBorderIndex = spectrumY.Count();
if (leftBorderIndex > spectrumY.Count() - 5) leftBorderIndex = 0;
if (rightBorderIndex + BorderOffset < spectrumY.Count()) rightBorderIndex += BorderOffset; else rightBorderIndex = spectrumY.Count();
if (leftBorderIndex - BorderOffset > 0) leftBorderIndex -= BorderOffset; else leftBorderIndex = 0;
// Add points to plot
switch (SelectedDataBindingInterval)
{
case 0: // Average undistinguishable points in spectrumX/spectrumY
{
var XAxis = MeasurementsPlotModel.Axes.FirstOrDefault(x => x.Position == AxisPosition.Bottom);
int XPlotWidth = (int)(XAxis.ScreenMax.X - XAxis.ScreenMin.X);
int XDataWidth = rightBorderIndex - leftBorderIndex;
int AverageCount = (int)Math.Floor((double)XDataWidth / XPlotWidth / 2);
if (AverageCount == 0) AverageCount = 1;
int Count = 0;
int newY = 0;
int newYCalculated = 0;
for (int i = leftBorderIndex; i < rightBorderIndex; i++)
{
newY += spectrumY[i];
newYCalculated = +spectrumYCalculated[i];
if (Count < AverageCount - 1)
{
Count++;
}
else
{
if (newY == 0) newY = 1;
if (newYCalculated == 0) newYCalculated = 1;
MeassuredPlot.Points.Add(new DataPoint(spectrumX[i], (double)newY / AverageCount));
MeassuredPlot.Points2.Add(new DataPoint(spectrumX[i], (float)0.0001));
SimulatedPlot.Points.Add(new DataPoint(spectrumX[i], (double)newYCalculated / AverageCount));
SimulatedPlot.Points2.Add(new DataPoint(spectrumX[i], (float)0.0001));
Count = 0;
newY = 0;
newYCalculated = 0;
}
}
break;
}
default: // Bind points inside SelectedDataBinding intervall
{
float x, y = 0, yCalculated = 0;
float intervalStart = SelectedDataBindingInterval * ((int)(spectrumX[leftBorderIndex] / SelectedDataBindingInterval) + (float)0.5); ;
int numOfPoints = 0;
for (int i = leftBorderIndex; i < rightBorderIndex; i++)
{
if (spectrumX[i] - intervalStart > SelectedDataBindingInterval)
{
x = intervalStart + (float)SelectedDataBindingInterval / 2;
if (y == 0) y = (float)0.0001;
if (yCalculated == 0) yCalculated = (float)0.0001;
MeassuredPlot.Points.Add(new DataPoint(x, y / numOfPoints * (SelectedDataBindingInterval / measurement.EnergyCalLinear)));
MeassuredPlot.Points2.Add(new DataPoint(x, (float)0.0001));
SimulatedPlot.Points.Add(new DataPoint(x, yCalculated / numOfPoints * (SelectedDataBindingInterval / measurement.EnergyCalLinear)));
SimulatedPlot.Points2.Add(new DataPoint(x, (float)0.0001));
y = 0;
yCalculated = 0;
numOfPoints = 0;
intervalStart += SelectedDataBindingInterval;
}
y += spectrumY[i];
yCalculated += spectrumYCalculated[i];
numOfPoints++;
}
break;
}
}
MeasurementsPlotModel.Series.Add(MeassuredPlot);
if (measurement.SpectrumYSimulated != null && ShowSimulatedSpectra == true)
MeasurementsPlotModel.Series.Add(SimulatedPlot);
MeasurementsPlotModel.InvalidatePlot(true);
// Check if measurement is running on another computer -> update measurement periodically
if (measurement.Runs == true && MyGlobals.CanMeasure == false)
{
OfflineUpdateTimer = new Timer(MyGlobals.OfflineUpdateWorkerInterval);
OfflineUpdateTimer.Elapsed += delegate { OfflineUpdateWorker(measurement.MeasurementID); };
OfflineUpdateTimer.Start();
}
// Update TimePlotModel
var lineSeries = (LineSeries)TimePlotModel.Series.FirstOrDefault();
if (lineSeries.Points.Count() != MyGlobals.Charge_CountsOverTime.Count() && MyGlobals.Charge_CountsOverTime.Count() >= 2)
{
lineSeries.Points.Clear();
foreach (var temp in MyGlobals.Charge_CountsOverTime)
{
if (temp.Value > 0)
{
lineSeries.Points.Add(new DataPoint(DateTimeAxis.ToDouble(temp.Time), temp.Value));
}
}
TimePlotModel.Axes.FirstOrDefault(x => x.Position == AxisPosition.Left).Minimum = 0.7 * MyGlobals.Charge_CountsOverTime.Where(x => x.Value > 0).Min(x => x.Value);
TimePlotModel.Axes.FirstOrDefault(x => x.Position == AxisPosition.Left).Maximum = 1.3 * MyGlobals.Charge_CountsOverTime.Max(x => x.Value);
TimePlotModel.InvalidatePlot(true);
}
}
private void UpdateDataSet(DataSet ds)
{
foreach (var rls in model.Series.OfType<LineSeries>().ToList())
{
//Todo rls.Tag is null sometimes and throwing null pointer exception fix it
if (!DataSets.Any(k=>k.Id.ToString() == rls.Tag.ToString()))
{
model.Series.Remove(rls);
}
}
if (ds.SparkLine || SparkLine)
{
SparkLine = true;
model.IsLegendVisible = false;
model.TitlePadding = 0;
model.TitleFontSize = 0;
model.SubtitleFontSize = 0;
model.Title = "";
model.Subtitle = "";
model.Padding = new OxyThickness(0);
model.PlotMargins = new OxyThickness(0);
model.PlotAreaBorderThickness = 0;
model.Axes.Clear();
model.Axes.Add(new InvisibleAxis() { Position = AxisPosition.Left, IsAxisVisible = false });
if (ds.DData != null)
model.Axes.Add(new InvisibleAxis() { Position = AxisPosition.Bottom, IsAxisVisible = false });
else
model.Axes.Add(new InvisibleDateAxis() { Position = AxisPosition.Bottom, IsAxisVisible = false });
if (ds.SparkLineAmount > 2)
{
if (ds.DData != null)
ds.ReducedData = mf.CalculateReduction(ds.DData, ds.SparkLineAmount);
else
{
var r = (from n in ds.Data select new KeyValuePair<double, double>(DateTimeAxis.ToDouble(n.Key), n.Value)).ToSortedDictionary(k => k.Key, k => k.Value);
ds.ReducedData = mf.CalculateReduction(r, ds.SparkLineAmount);
}
ds.FunctionOperation = FunctionOperations.auto;
}
else if (ds.SparkLinePercentage > 0)
{
if (ds.DData != null)
ds.ReducedData = mf.CalculateReduction(ds.DData, ds.SparkLinePercentage);
else
{
var r = (from n in ds.Data select new KeyValuePair<double, double>(DateTimeAxis.ToDouble(n.Key), n.Value)).ToSortedDictionary(k => k.Key, k => k.Value);
ds.ReducedData = mf.CalculateReduction(r, ds.SparkLinePercentage);
}
ds.FunctionOperation = FunctionOperations.auto;
}
foreach (var ax in model.Axes)
{
ax.IsPanEnabled = false;
ax.IsZoomEnabled = false;
}
//foreach (var ax in model.Axes)
// ax.IsAxisVisible = false;
}
else SparkLine = false;
if (model.Series.Count(k => ((Guid)k.Tag) == ds.Id) > 1)
foreach (var r in model.Series.Where(k => ((Guid)k.Tag) == ds.Id).ToList())
{
model.Series.Remove(r);
}
var ls = model.Series.FirstOrDefault(k => k.Tag.ToString() == ds.Id.ToString()) as LineSeries;
if (ls==null)
ls = new LineSeries(){Tag = ds.Id};
ls.Smooth = ds.Smooth;
ls.YAxisKey = (ds.RightAxis) ? "Right" : "Left";
if (ls.YAxisKey == "Right")
{
var ra = model.Axes.FirstOrDefault(k => k.Key == "Right");
if (ra == null)
{
var linearAxis2 = new LinearAxis();
linearAxis2.Position = AxisPosition.Right;
linearAxis2.Key = "Right";
linearAxis2.Title = ds.Unit != null ? ds.Unit : "Value";
model.Axes.Add(linearAxis2);
}
}
if (ls != null)
{
var res = GetDataSet(ds);
if (res.Count == 1)
{
ls.Points.Clear();
foreach (var a in res.First())
{
ls.Points.Add(new DataPoint(a.Key, a.Value));
}
var ap = model.Series.OfType<AreaSeries>().FirstOrDefault(k => k.Tag.ToString() == ds.Id.ToString());
if (ap != null)
{
model.Series.Remove(ap);
}
}
else if (ds.FunctionOperation == FunctionOperations.auto)
{
var ap = model.Series.OfType<AreaSeries>().FirstOrDefault(k => k.Tag.ToString() == ds.Id.ToString());
if (ap == null)
{
ap = new AreaSeries() { Tag = ds.Id };
model.Series.Add(ap);
}
ap.Fill = OxyColor.FromAColor((byte)96,OxyColors.LightBlue);
ap.Color = OxyColors.Black;
ap.Points.Clear();
ap.Points2.Clear();
foreach (var a in res.Last())
{
ap.Points.Add(new DataPoint(a.Key, a.Value));
}
foreach (var a in res.First())
{
ap.Points2.Add(new DataPoint(a.Key, a.Value));
}
foreach (var a in res[1])
{
ls.Points.Add(new DataPoint(a.Key, a.Value));
}
}
else
{
foreach (var r in model.Series.Where(k => ((Guid)k.Tag) == ds.Id).ToList())
{
model.Series.Remove(r);
}
var l = new List<SortedDictionary<DateTime, double>>();
int colidx = 0;
foreach (var lineseries in res)
{
var lss = new LineSeries();
var ll = new SortedDictionary<DateTime, double>();
ds.Color = AvailableColors[colidx];
colidx++;
lss.YAxisKey = (ds.RightAxis) ? "Right" : "Left";
lss.Smooth = ds.Smooth;
lss.Color = OxyColor.FromArgb(ds.Color.A, ds.Color.R, ds.Color.G, ds.Color.B);
lss.MarkerFill = OxyColor.FromArgb(255, 78, 154, 6);
lss.Tag = ds.Id;
foreach (var a in lineseries)
{
lss.Points.Add(new DataPoint(a.Key, a.Value));
ll.Add(DateTimeAxis.ToDateTime(a.Key), a.Value);
}
model.Series.Add(lss);
l.Add(ll);
}
}
model.RefreshPlot(true);
}
}
private static PlotModel CreateKochSnowflake(int n, bool areaSeries = false)
{
var data = new[]
{
new DataPoint(-1, 0),
new DataPoint(1, 0),
new DataPoint(0, Math.Sqrt(3)), new DataPoint(-1, 0) };
for (int i = 0; i < n; i++)
data = Fractalise(data, KochDetail);
var model = new PlotModel("Koch Snowflake") { PlotType = PlotType.Cartesian };
if (areaSeries)
{
var s = new AreaSeries { ItemsSource = data, LineJoin = OxyPenLineJoin.Bevel, Fill=OxyColors.LightGray };
model.Series.Add(s);
}
else
{
var ls = new LineSeries { ItemsSource = data, LineJoin = OxyPenLineJoin.Bevel };
model.Series.Add(ls);
}
return model;
}
/// <summary>
/// Function that plots all selected <see cref="Measurement"/>s over their channel number.
/// </summary>
public void PlotMeasurements()
{
foreach (Measurement measurement in selectedMeasurements)
{
var areaSeries = new AreaSeries
{
Tag = measurement.MeasurementID,
StrokeThickness = 2,
MarkerSize = 3,
Color = LineColors[measurement.MeasurementID % LineColors.Count],
CanTrackerInterpolatePoints = false,
Title = string.Format("SpectrumID {0}", measurement.MeasurementID),
Smooth = false,
};
int[] spectrumY = measurement.SpectrumY;
for (int i = 0; i < spectrumY.Count(); i++)
{
areaSeries.Points.Add(new DataPoint(i, spectrumY[i]));
areaSeries.Points2.Add(new DataPoint(i, 0));
}
SelectedMeasurementsPlot.Series.Add(areaSeries);
}
SelectedMeasurementsPlot.InvalidatePlot(true);
}
public static PlotModel LineSeriesandAreaSeries()
{
var plotModel1 = new PlotModel("LineSeries and AreaSeries");
var linearAxis1 = new LinearAxis(AxisPosition.Bottom);
plotModel1.Axes.Add(linearAxis1);
var linearAxis2 = new LinearAxis();
plotModel1.Axes.Add(linearAxis2);
var areaSeries1 = new AreaSeries
{
Fill = OxyColors.LightBlue,
DataFieldX2 = "Time",
DataFieldY2 = "Minimum",
Color = OxyColors.Red,
StrokeThickness = 0,
MarkerFill = OxyColors.Transparent,
DataFieldX = "Time",
DataFieldY = "Maximum"
};
areaSeries1.Points2.Add(new DataPoint(0, -5.04135905692417));
areaSeries1.Points2.Add(new DataPoint(2.5, -4.91731850813018));
areaSeries1.Points2.Add(new DataPoint(5, -4.45266314658926));
areaSeries1.Points2.Add(new DataPoint(7.5, -3.87303874542613));
areaSeries1.Points2.Add(new DataPoint(10, -3.00101110255393));
areaSeries1.Points2.Add(new DataPoint(12.5, -2.17980725503518));
areaSeries1.Points2.Add(new DataPoint(15, -1.67332229254456));
areaSeries1.Points2.Add(new DataPoint(17.5, -1.10537158549082));
areaSeries1.Points2.Add(new DataPoint(20, -0.6145459544447));
areaSeries1.Points2.Add(new DataPoint(22.5, 0.120028106039404));
areaSeries1.Points2.Add(new DataPoint(25, 1.06357270435597));
areaSeries1.Points2.Add(new DataPoint(27.5, 1.87301405606466));
areaSeries1.Points2.Add(new DataPoint(30, 2.57569854952195));
areaSeries1.Points2.Add(new DataPoint(32.5, 3.59165537664278));
areaSeries1.Points2.Add(new DataPoint(35, 4.87991958133872));
areaSeries1.Points2.Add(new DataPoint(37.5, 6.36214537958714));
areaSeries1.Points2.Add(new DataPoint(40, 7.62564585126268));
areaSeries1.Points2.Add(new DataPoint(42.5, 8.69606320261772));
areaSeries1.Points2.Add(new DataPoint(45, 10.0118704438265));
areaSeries1.Points2.Add(new DataPoint(47.5, 11.0434480519236));
areaSeries1.Points2.Add(new DataPoint(50, 11.9794171576758));
areaSeries1.Points2.Add(new DataPoint(52.5, 12.9591851832621));
areaSeries1.Points2.Add(new DataPoint(55, 14.172107889304));
areaSeries1.Points2.Add(new DataPoint(57.5, 15.5520057698488));
areaSeries1.Points2.Add(new DataPoint(60, 17.2274942386092));
areaSeries1.Points2.Add(new DataPoint(62.5, 18.6983982186757));
areaSeries1.Points2.Add(new DataPoint(65, 20.4560332001448));
areaSeries1.Points2.Add(new DataPoint(67.5, 22.4867327382261));
areaSeries1.Points2.Add(new DataPoint(70, 24.5319674302041));
areaSeries1.Points2.Add(new DataPoint(72.5, 26.600547815813));
areaSeries1.Points2.Add(new DataPoint(75, 28.5210891459701));
areaSeries1.Points2.Add(new DataPoint(77.5, 30.6793080755413));
areaSeries1.Points2.Add(new DataPoint(80, 33.0546651200646));
areaSeries1.Points2.Add(new DataPoint(82.5, 35.3256065179713));
areaSeries1.Points2.Add(new DataPoint(85, 37.6336074839968));
areaSeries1.Points2.Add(new DataPoint(87.5, 40.2012266359763));
areaSeries1.Points2.Add(new DataPoint(90, 42.8923555399256));
areaSeries1.Points2.Add(new DataPoint(92.5, 45.8665211907432));
areaSeries1.Points2.Add(new DataPoint(95, 48.8200195945427));
areaSeries1.Points2.Add(new DataPoint(97.5, 51.8304284402311));
areaSeries1.Points2.Add(new DataPoint(100, 54.6969868542147));
areaSeries1.Points2.Add(new DataPoint(102.5, 57.7047292990632));
areaSeries1.Points2.Add(new DataPoint(105, 60.4216644602929));
areaSeries1.Points2.Add(new DataPoint(107.5, 62.926258762519));
areaSeries1.Points2.Add(new DataPoint(110, 65.1829734629407));
areaSeries1.Points2.Add(new DataPoint(112.5, 67.2365592083133));
areaSeries1.Points2.Add(new DataPoint(115, 69.5713628691022));
areaSeries1.Points2.Add(new DataPoint(117.5, 71.7267046705944));
areaSeries1.Points2.Add(new DataPoint(120, 73.633463102781));
areaSeries1.Points2.Add(new DataPoint(122.5, 75.4660150158061));
areaSeries1.Points2.Add(new DataPoint(125, 77.5669292504745));
areaSeries1.Points2.Add(new DataPoint(127.5, 79.564218544664));
areaSeries1.Points2.Add(new DataPoint(130, 81.8631309028078));
areaSeries1.Points2.Add(new DataPoint(132.5, 83.9698189969034));
areaSeries1.Points2.Add(new DataPoint(135, 86.3847886532009));
areaSeries1.Points2.Add(new DataPoint(137.5, 88.5559348267764));
areaSeries1.Points2.Add(new DataPoint(140, 91.0455050418365));
areaSeries1.Points2.Add(new DataPoint(142.5, 93.6964157585504));
areaSeries1.Points2.Add(new DataPoint(145, 96.284336864941));
areaSeries1.Points2.Add(new DataPoint(147.5, 98.7508602689723));
areaSeries1.Points2.Add(new DataPoint(150, 100.904510594255));
areaSeries1.Points2.Add(new DataPoint(152.5, 103.266136681506));
areaSeries1.Points2.Add(new DataPoint(155, 105.780951269521));
areaSeries1.Points2.Add(new DataPoint(157.5, 108.032859257065));
areaSeries1.Points2.Add(new DataPoint(160, 110.035478448093));
areaSeries1.Points2.Add(new DataPoint(162.5, 112.10655731615));
areaSeries1.Points2.Add(new DataPoint(165, 114.37480786097));
areaSeries1.Points2.Add(new DataPoint(167.5, 116.403992550869));
areaSeries1.Points2.Add(new DataPoint(170, 118.61663988727));
areaSeries1.Points2.Add(new DataPoint(172.5, 120.538730287384));
areaSeries1.Points2.Add(new DataPoint(175, 122.515721057177));
areaSeries1.Points2.Add(new DataPoint(177.5, 124.474386629124));
areaSeries1.Points2.Add(new DataPoint(180, 126.448283293214));
areaSeries1.Points2.Add(new DataPoint(182.5, 128.373811322299));
areaSeries1.Points2.Add(new DataPoint(185, 130.33627914667));
areaSeries1.Points2.Add(new DataPoint(187.5, 132.487933658477));
areaSeries1.Points2.Add(new DataPoint(190, 134.716989778456));
areaSeries1.Points2.Add(new DataPoint(192.5, 136.817287595392));
areaSeries1.Points2.Add(new DataPoint(195, 139.216488664698));
areaSeries1.Points2.Add(new DataPoint(197.5, 141.50803227574));
areaSeries1.Points2.Add(new DataPoint(200, 143.539586683614));
areaSeries1.Points2.Add(new DataPoint(202.5, 145.535911545221));
areaSeries1.Points2.Add(new DataPoint(205, 147.516964978686));
areaSeries1.Points2.Add(new DataPoint(207.5, 149.592416731684));
areaSeries1.Points2.Add(new DataPoint(210, 151.600983566512));
areaSeries1.Points2.Add(new DataPoint(212.5, 153.498210993362));
areaSeries1.Points2.Add(new DataPoint(215, 155.512606828247));
areaSeries1.Points2.Add(new DataPoint(217.5, 157.426564302774));
areaSeries1.Points2.Add(new DataPoint(220, 159.364474964172));
areaSeries1.Points2.Add(new DataPoint(222.5, 161.152806492128));
areaSeries1.Points2.Add(new DataPoint(225, 162.679069434562));
areaSeries1.Points2.Add(new DataPoint(227.5, 163.893622036741));
areaSeries1.Points2.Add(new DataPoint(230, 165.475827621238));
areaSeries1.Points2.Add(new DataPoint(232.5, 167.303960444734));
areaSeries1.Points2.Add(new DataPoint(235, 169.259393394952));
areaSeries1.Points2.Add(new DataPoint(237.5, 171.265193646758));
areaSeries1.Points2.Add(new DataPoint(240, 173.074304345192));
areaSeries1.Points2.Add(new DataPoint(242.5, 174.975492766814));
areaSeries1.Points2.Add(new DataPoint(245, 176.684088218484));
areaSeries1.Points2.Add(new DataPoint(247.5, 178.406887247603));
areaSeries1.Points.Add(new DataPoint(0, 5.0184649433561));
areaSeries1.Points.Add(new DataPoint(2.5, 5.27685959268215));
areaSeries1.Points.Add(new DataPoint(5, 5.81437064628786));
areaSeries1.Points.Add(new DataPoint(7.5, 6.51022475040994));
areaSeries1.Points.Add(new DataPoint(10, 7.49921246878766));
areaSeries1.Points.Add(new DataPoint(12.5, 8.41941631823751));
areaSeries1.Points.Add(new DataPoint(15, 9.09826907222079));
areaSeries1.Points.Add(new DataPoint(17.5, 9.89500750098145));
areaSeries1.Points.Add(new DataPoint(20, 10.6633345249404));
areaSeries1.Points.Add(new DataPoint(22.5, 11.6249613445368));
areaSeries1.Points.Add(new DataPoint(25, 12.8816391467497));
areaSeries1.Points.Add(new DataPoint(27.5, 13.9665185705603));
areaSeries1.Points.Add(new DataPoint(30, 14.8501816818724));
areaSeries1.Points.Add(new DataPoint(32.5, 16.0683128022441));
areaSeries1.Points.Add(new DataPoint(35, 17.5378799723172));
areaSeries1.Points.Add(new DataPoint(37.5, 19.1262752954039));
areaSeries1.Points.Add(new DataPoint(40, 20.4103953650735));
areaSeries1.Points.Add(new DataPoint(42.5, 21.5430627723891));
areaSeries1.Points.Add(new DataPoint(45, 22.9105459463366));
areaSeries1.Points.Add(new DataPoint(47.5, 23.9802361888719));
areaSeries1.Points.Add(new DataPoint(50, 24.8659461235003));
areaSeries1.Points.Add(new DataPoint(52.5, 25.7303194442439));
areaSeries1.Points.Add(new DataPoint(55, 26.7688545912359));
areaSeries1.Points.Add(new DataPoint(57.5, 28.0545112571933));
areaSeries1.Points.Add(new DataPoint(60, 29.7036634266394));
areaSeries1.Points.Add(new DataPoint(62.5, 31.2273634344467));
areaSeries1.Points.Add(new DataPoint(65, 33.1038196356519));
areaSeries1.Points.Add(new DataPoint(67.5, 35.2639893610328));
areaSeries1.Points.Add(new DataPoint(70, 37.434293559489));
areaSeries1.Points.Add(new DataPoint(72.5, 39.7109359368267));
areaSeries1.Points.Add(new DataPoint(75, 41.7573881676222));
areaSeries1.Points.Add(new DataPoint(77.5, 44.0460374479862));
areaSeries1.Points.Add(new DataPoint(80, 46.5098714746581));
areaSeries1.Points.Add(new DataPoint(82.5, 48.7754012129155));
areaSeries1.Points.Add(new DataPoint(85, 51.1619816926597));
areaSeries1.Points.Add(new DataPoint(87.5, 53.9036778414639));
areaSeries1.Points.Add(new DataPoint(90, 56.7448825012636));
areaSeries1.Points.Add(new DataPoint(92.5, 59.9294987878434));
areaSeries1.Points.Add(new DataPoint(95, 63.0148831289797));
areaSeries1.Points.Add(new DataPoint(97.5, 66.0721745989622));
areaSeries1.Points.Add(new DataPoint(100, 68.8980036274521));
areaSeries1.Points.Add(new DataPoint(102.5, 71.7719322611447));
areaSeries1.Points.Add(new DataPoint(105, 74.4206055336728));
areaSeries1.Points.Add(new DataPoint(107.5, 76.816198386632));
areaSeries1.Points.Add(new DataPoint(110, 79.0040432726983));
areaSeries1.Points.Add(new DataPoint(112.5, 80.9617606926066));
areaSeries1.Points.Add(new DataPoint(115, 83.1345574620341));
areaSeries1.Points.Add(new DataPoint(117.5, 85.0701022046479));
areaSeries1.Points.Add(new DataPoint(120, 86.8557530286516));
areaSeries1.Points.Add(new DataPoint(122.5, 88.5673387745243));
areaSeries1.Points.Add(new DataPoint(125, 90.6003321543338));
areaSeries1.Points.Add(new DataPoint(127.5, 92.439864576254));
areaSeries1.Points.Add(new DataPoint(130, 94.5383744861178));
areaSeries1.Points.Add(new DataPoint(132.5, 96.4600166864507));
areaSeries1.Points.Add(new DataPoint(135, 98.6091052949006));
areaSeries1.Points.Add(new DataPoint(137.5, 100.496459351478));
areaSeries1.Points.Add(new DataPoint(140, 102.705767030085));
areaSeries1.Points.Add(new DataPoint(142.5, 105.009994476992));
areaSeries1.Points.Add(new DataPoint(145, 107.31287026052));
areaSeries1.Points.Add(new DataPoint(147.5, 109.584842542272));
areaSeries1.Points.Add(new DataPoint(150, 111.641435600837));
areaSeries1.Points.Add(new DataPoint(152.5, 113.988459973544));
areaSeries1.Points.Add(new DataPoint(155, 116.50349048027));
areaSeries1.Points.Add(new DataPoint(157.5, 118.753612704274));
areaSeries1.Points.Add(new DataPoint(160, 120.801728924085));
areaSeries1.Points.Add(new DataPoint(162.5, 122.902486914165));
areaSeries1.Points.Add(new DataPoint(165, 125.104391935796));
areaSeries1.Points.Add(new DataPoint(167.5, 127.06056966547));
areaSeries1.Points.Add(new DataPoint(170, 129.217086578495));
areaSeries1.Points.Add(new DataPoint(172.5, 131.151968896274));
areaSeries1.Points.Add(new DataPoint(175, 133.159906275133));
areaSeries1.Points.Add(new DataPoint(177.5, 135.065263957561));
areaSeries1.Points.Add(new DataPoint(180, 137.041870026822));
areaSeries1.Points.Add(new DataPoint(182.5, 138.937477489811));
areaSeries1.Points.Add(new DataPoint(185, 140.776914926282));
areaSeries1.Points.Add(new DataPoint(187.5, 142.786975776398));
areaSeries1.Points.Add(new DataPoint(190, 144.862762377347));
areaSeries1.Points.Add(new DataPoint(192.5, 146.89654967049));
areaSeries1.Points.Add(new DataPoint(195, 149.204343821204));
areaSeries1.Points.Add(new DataPoint(197.5, 151.369748673527));
areaSeries1.Points.Add(new DataPoint(200, 153.324438580137));
areaSeries1.Points.Add(new DataPoint(202.5, 155.173148715344));
areaSeries1.Points.Add(new DataPoint(205, 157.0501827528));
areaSeries1.Points.Add(new DataPoint(207.5, 159.109122278359));
areaSeries1.Points.Add(new DataPoint(210, 161.044446932778));
areaSeries1.Points.Add(new DataPoint(212.5, 162.942364031841));
areaSeries1.Points.Add(new DataPoint(215, 164.966769883021));
areaSeries1.Points.Add(new DataPoint(217.5, 166.89711806788));
areaSeries1.Points.Add(new DataPoint(220, 168.906874949069));
areaSeries1.Points.Add(new DataPoint(222.5, 170.85692034995));
areaSeries1.Points.Add(new DataPoint(225, 172.602125010408));
areaSeries1.Points.Add(new DataPoint(227.5, 173.964258466598));
areaSeries1.Points.Add(new DataPoint(230, 175.629908385654));
areaSeries1.Points.Add(new DataPoint(232.5, 177.495778359378));
areaSeries1.Points.Add(new DataPoint(235, 179.432933300749));
areaSeries1.Points.Add(new DataPoint(237.5, 181.400180771342));
areaSeries1.Points.Add(new DataPoint(240, 183.232300309899));
areaSeries1.Points.Add(new DataPoint(242.5, 185.225502661441));
areaSeries1.Points.Add(new DataPoint(245, 186.979590140413));
areaSeries1.Points.Add(new DataPoint(247.5, 188.816640077725));
areaSeries1.Title = "Maximum/Minimum";
plotModel1.Series.Add(areaSeries1);
var lineSeries1 = new LineSeries
{
Color = OxyColors.Blue,
MarkerFill = OxyColors.Transparent,
DataFieldX = "Time",
DataFieldY = "Value"
};
lineSeries1.Points.Add(new DataPoint(0, -0.011447056784037));
lineSeries1.Points.Add(new DataPoint(2.5, 0.179770542275985));
lineSeries1.Points.Add(new DataPoint(5, 0.6808537498493));
lineSeries1.Points.Add(new DataPoint(7.5, 1.31859300249191));
lineSeries1.Points.Add(new DataPoint(10, 2.24910068311687));
lineSeries1.Points.Add(new DataPoint(12.5, 3.11980453160117));
lineSeries1.Points.Add(new DataPoint(15, 3.71247338983811));
lineSeries1.Points.Add(new DataPoint(17.5, 4.39481795774531));
lineSeries1.Points.Add(new DataPoint(20, 5.02439428524784));
lineSeries1.Points.Add(new DataPoint(22.5, 5.87249472528812));
lineSeries1.Points.Add(new DataPoint(25, 6.97260592555283));
lineSeries1.Points.Add(new DataPoint(27.5, 7.91976631331247));
lineSeries1.Points.Add(new DataPoint(30, 8.71294011569719));
lineSeries1.Points.Add(new DataPoint(32.5, 9.82998408944345));
lineSeries1.Points.Add(new DataPoint(35, 11.208899776828));
lineSeries1.Points.Add(new DataPoint(37.5, 12.7442103374955));
lineSeries1.Points.Add(new DataPoint(40, 14.0180206081681));
lineSeries1.Points.Add(new DataPoint(42.5, 15.1195629875034));
lineSeries1.Points.Add(new DataPoint(45, 16.4612081950815));
lineSeries1.Points.Add(new DataPoint(47.5, 17.5118421203978));
lineSeries1.Points.Add(new DataPoint(50, 18.4226816405881));
lineSeries1.Points.Add(new DataPoint(52.5, 19.344752313753));
lineSeries1.Points.Add(new DataPoint(55, 20.47048124027));
lineSeries1.Points.Add(new DataPoint(57.5, 21.8032585135211));
lineSeries1.Points.Add(new DataPoint(60, 23.4655788326243));
lineSeries1.Points.Add(new DataPoint(62.5, 24.9628808265612));
lineSeries1.Points.Add(new DataPoint(65, 26.7799264178984));
lineSeries1.Points.Add(new DataPoint(67.5, 28.8753610496295));
lineSeries1.Points.Add(new DataPoint(70, 30.9831304948466));
lineSeries1.Points.Add(new DataPoint(72.5, 33.1557418763199));
lineSeries1.Points.Add(new DataPoint(75, 35.1392386567962));
lineSeries1.Points.Add(new DataPoint(77.5, 37.3626727617638));
lineSeries1.Points.Add(new DataPoint(80, 39.7822682973613));
lineSeries1.Points.Add(new DataPoint(82.5, 42.0505038654434));
lineSeries1.Points.Add(new DataPoint(85, 44.3977945883283));
lineSeries1.Points.Add(new DataPoint(87.5, 47.0524522387201));
lineSeries1.Points.Add(new DataPoint(90, 49.8186190205946));
lineSeries1.Points.Add(new DataPoint(92.5, 52.8980099892933));
lineSeries1.Points.Add(new DataPoint(95, 55.9174513617612));
lineSeries1.Points.Add(new DataPoint(97.5, 58.9513015195966));
lineSeries1.Points.Add(new DataPoint(100, 61.7974952408334));
lineSeries1.Points.Add(new DataPoint(102.5, 64.738330780104));
lineSeries1.Points.Add(new DataPoint(105, 67.4211349969828));
lineSeries1.Points.Add(new DataPoint(107.5, 69.8712285745755));
lineSeries1.Points.Add(new DataPoint(110, 72.0935083678195));
lineSeries1.Points.Add(new DataPoint(112.5, 74.0991599504599));
lineSeries1.Points.Add(new DataPoint(115, 76.3529601655682));
lineSeries1.Points.Add(new DataPoint(117.5, 78.3984034376212));
lineSeries1.Points.Add(new DataPoint(120, 80.2446080657163));
lineSeries1.Points.Add(new DataPoint(122.5, 82.0166768951652));
lineSeries1.Points.Add(new DataPoint(125, 84.0836307024042));
lineSeries1.Points.Add(new DataPoint(127.5, 86.002041560459));
lineSeries1.Points.Add(new DataPoint(130, 88.2007526944628));
lineSeries1.Points.Add(new DataPoint(132.5, 90.2149178416771));
lineSeries1.Points.Add(new DataPoint(135, 92.4969469740507));
lineSeries1.Points.Add(new DataPoint(137.5, 94.5261970891274));
lineSeries1.Points.Add(new DataPoint(140, 96.875636035961));
lineSeries1.Points.Add(new DataPoint(142.5, 99.3532051177711));
lineSeries1.Points.Add(new DataPoint(145, 101.798603562731));
lineSeries1.Points.Add(new DataPoint(147.5, 104.167851405622));
lineSeries1.Points.Add(new DataPoint(150, 106.272973097546));
lineSeries1.Points.Add(new DataPoint(152.5, 108.627298327525));
lineSeries1.Points.Add(new DataPoint(155, 111.142220874895));
lineSeries1.Points.Add(new DataPoint(157.5, 113.39323598067));
lineSeries1.Points.Add(new DataPoint(160, 115.418603686089));
lineSeries1.Points.Add(new DataPoint(162.5, 117.504522115157));
lineSeries1.Points.Add(new DataPoint(165, 119.739599898383));
lineSeries1.Points.Add(new DataPoint(167.5, 121.732281108169));
lineSeries1.Points.Add(new DataPoint(170, 123.916863232882));
lineSeries1.Points.Add(new DataPoint(172.5, 125.845349591829));
lineSeries1.Points.Add(new DataPoint(175, 127.837813666155));
lineSeries1.Points.Add(new DataPoint(177.5, 129.769825293343));
lineSeries1.Points.Add(new DataPoint(180, 131.745076660018));
lineSeries1.Points.Add(new DataPoint(182.5, 133.655644406055));
lineSeries1.Points.Add(new DataPoint(185, 135.556597036476));
lineSeries1.Points.Add(new DataPoint(187.5, 137.637454717438));
lineSeries1.Points.Add(new DataPoint(190, 139.789876077902));
lineSeries1.Points.Add(new DataPoint(192.5, 141.856918632941));
lineSeries1.Points.Add(new DataPoint(195, 144.210416242951));
lineSeries1.Points.Add(new DataPoint(197.5, 146.438890474634));
lineSeries1.Points.Add(new DataPoint(200, 148.432012631876));
lineSeries1.Points.Add(new DataPoint(202.5, 150.354530130282));
lineSeries1.Points.Add(new DataPoint(205, 152.283573865743));
lineSeries1.Points.Add(new DataPoint(207.5, 154.350769505022));
lineSeries1.Points.Add(new DataPoint(210, 156.322715249645));
lineSeries1.Points.Add(new DataPoint(212.5, 158.220287512602));
lineSeries1.Points.Add(new DataPoint(215, 160.239688355634));
lineSeries1.Points.Add(new DataPoint(217.5, 162.161841185327));
lineSeries1.Points.Add(new DataPoint(220, 164.135674956621));
lineSeries1.Points.Add(new DataPoint(222.5, 166.004863421039));
lineSeries1.Points.Add(new DataPoint(225, 167.640597222485));
lineSeries1.Points.Add(new DataPoint(227.5, 168.928940251669));
lineSeries1.Points.Add(new DataPoint(230, 170.552868003446));
lineSeries1.Points.Add(new DataPoint(232.5, 172.399869402056));
lineSeries1.Points.Add(new DataPoint(235, 174.346163347851));
lineSeries1.Points.Add(new DataPoint(237.5, 176.33268720905));
lineSeries1.Points.Add(new DataPoint(240, 178.153302327545));
lineSeries1.Points.Add(new DataPoint(242.5, 180.100497714128));
lineSeries1.Points.Add(new DataPoint(245, 181.831839179449));
lineSeries1.Points.Add(new DataPoint(247.5, 183.611763662664));
lineSeries1.Title = "Average";
plotModel1.Series.Add(lineSeries1);
return plotModel1;
}
public static PlotModel SunriseandsunsetinOslo()
{
int year = DateTime.Now.Year;
// Convert UTC time to Western European Time (WET)
Func<DateTime, DateTime> utcToLocalTime = utc => utc.AddHours(IsDaylightSaving(utc) ? 2 : 1);
var sunData = CreateSunData(year, 59.91, 10.75, utcToLocalTime);
var plotModel1 = new PlotModel { Title = "Sunrise and sunset in Oslo", Subtitle = "UTC time" };
var dateTimeAxis1 = new DateTimeAxis
{
CalendarWeekRule = CalendarWeekRule.FirstFourDayWeek,
FirstDayOfWeek = DayOfWeek.Monday,
IntervalType = DateTimeIntervalType.Months,
MajorGridlineStyle = LineStyle.Solid,
Position = AxisPosition.Bottom,
StringFormat = "MMM"
};
plotModel1.Axes.Add(dateTimeAxis1);
var timeSpanAxis1 = new TimeSpanAxis { MajorGridlineStyle = LineStyle.Solid, Maximum = 86400, Minimum = 0, StringFormat = "h:mm" };
plotModel1.Axes.Add(timeSpanAxis1);
var areaSeries1 = new AreaSeries
{
ItemsSource = sunData,
DataFieldX = "Day",
DataFieldY = "Sunrise",
DataFieldX2 = "Day",
DataFieldY2 = "Sunset",
Fill = OxyColor.FromArgb(128, 255, 255, 0),
Color = OxyColors.Black
};
plotModel1.Series.Add(areaSeries1);
return plotModel1;
}
bool ProcessSeriesData(ref List<object> listOfSeries, string chartType, string seriesDataString, ref string failOverMessage)
{
bool parsed = false;
bool isSingleSeries = false;
List<ColumnSeries> columnSeriesList = new List<ColumnSeries>();
string[] seriesDataStringArray = seriesDataString.Split(new string[] { Statics.SeparateLineSeries }, StringSplitOptions.RemoveEmptyEntries);
if (seriesDataStringArray.Length < 1)
{
isSingleSeries = true;
}
foreach (string lineSeriesItemString in seriesDataStringArray)
{
object series;
switch (chartType.ToUpper().Replace(" ",""))
{
case Statics.Area:
series = new AreaSeries();
((AreaSeries)series).IndependentValuePath = "Key";
((AreaSeries)series).DependentValuePath = "Value";
break;
case Statics.Bar:
series = new ColumnSeries();
((ColumnSeries)series).IndependentValuePath = "Key";
((ColumnSeries)series).DependentValuePath = "Value";
break;
case Statics.Bubble:
series = new BubbleSeries();
((BubbleSeries)series).IndependentValuePath = "Key";
((BubbleSeries)series).DependentValuePath = "Value";
break;
case Statics.RotatedBar:
series = new BarSeries();
((BarSeries)series).IndependentValuePath = "Key";
((BarSeries)series).DependentValuePath = "Value";
break;
case Statics.Histogram:
series = new ColumnSeries();
((ColumnSeries)series).IndependentValuePath = "Key";
((ColumnSeries)series).DependentValuePath = "Value";
break;
case Statics.Line:
series = new LineSeries();
((LineSeries)series).IndependentValuePath = "Key";
((LineSeries)series).DependentValuePath = "Value";
break;
case Statics.Pie:
series = new PieSeries();
((PieSeries)series).IndependentValuePath = "Key";
((PieSeries)series).DependentValuePath = "Value";
break;
case Statics.Scatter:
series = new ScatterSeries();
((ScatterSeries)series).IndependentValuePath = "Key";
((ScatterSeries)series).DependentValuePath = "Value";
break;
case Statics.Stacked:
//series = new StackedBarSeries();
//((StackedBarSeries)series).IndependentValuePath = "Key";
//((StackedBarSeries)series).DependentValuePath = "Value";
case Statics.TreeMap:
default:
failOverMessage = "The specified graph type supplied in the input parameters (initParams) could not be parsed.";
return false;
}
string[] titleSplit = lineSeriesItemString.Split(new string[] { Statics.LineSeriesTitle }, StringSplitOptions.None);
if (titleSplit.Length == 3)
{
switch (chartType.ToUpper().Replace(" ", ""))
{
case Statics.Area:
((AreaSeries)series).Title = titleSplit[1];
break;
case Statics.Bar:
((ColumnSeries)series).Title = titleSplit[1];
break;
case Statics.Bubble:
((BubbleSeries)series).Title = titleSplit[1];
break;
case Statics.RotatedBar:
((BarSeries)series).Title = titleSplit[1];
break;
case Statics.Histogram:
((ColumnSeries)series).Title = titleSplit[1];
break;
case Statics.Line:
((LineSeries)series).Title = titleSplit[1];
break;
case Statics.Pie:
((PieSeries)series).Title = titleSplit[1];
break;
case Statics.Scatter:
((ScatterSeries)series).Title = titleSplit[1];
break;
case Statics.Stacked:
case Statics.TreeMap:
default:
break;
}
}
Dictionary<object, object> pointList = new Dictionary<object, object>();
string[] dataSplit = lineSeriesItemString.Split(new string[] { Statics.LineSeriesDataString }, StringSplitOptions.None);
object independentValue = string.Empty;
object dependentValue = 0.0;
if (dataSplit.Length == 3)
{
string dataString = dataSplit[1];
string[] dataPairStringArray = dataString.Split(new string[] { Statics.SeparateDataPoints }, StringSplitOptions.None);
foreach (string pair in dataPairStringArray)
{
if (pair.Length > 0)
{
string[] set = pair.Split(new string[] { Statics.SeparateIndDepValues }, StringSplitOptions.None);
try
{
if (set.Length == 2)
{
Double doubleCandidate;
DateTime dateTimeCandidate;
// < independent >
if (Double.TryParse(set[0], out doubleCandidate))
{
independentValue = doubleCandidate;
if (_minIndependentValueIsValid)
{
if ((double)independentValue < (double)_minIndependentValue)
{
_minIndependentValue = independentValue;
}
}
else
{
_minIndependentValue = independentValue;
_minIndependentValueIsValid = true;
}
if (_maxIndependentValueIsValid)
{
if ((double)independentValue > (double)_maxIndependentValue)
{
_maxIndependentValue = independentValue;
}
}
else
{
_maxIndependentValue = independentValue;
_maxIndependentValueIsValid = true;
}
}
else if (DateTime.TryParse(set[0], out dateTimeCandidate))
{
independentValue = dateTimeCandidate;
if (_minIndependentValueIsValid)
{
if ((DateTime)independentValue < (DateTime)_minIndependentValue)
{
_minIndependentValue = independentValue;
}
}
else
{
_minIndependentValue = independentValue;
_minIndependentValueIsValid = true;
}
if (_maxIndependentValueIsValid)
{
if ((DateTime)independentValue > (DateTime)_maxIndependentValue)
{
_maxIndependentValue = independentValue;
}
}
else
{
_maxIndependentValue = independentValue;
_maxIndependentValueIsValid = true;
}
}
else
{
independentValue = set[0].ToString();
}
// < dependent >
if (Double.TryParse(set[1], out doubleCandidate))
{
dependentValue = doubleCandidate;
}
else if (DateTime.TryParse(set[1], out dateTimeCandidate))
{
dependentValue = dateTimeCandidate;
}
else
{
dependentValue = set[1].ToString();
}
pointList.Add(independentValue, dependentValue);
}
}
catch
{
return false;
}
}
}
}
else
{
failOverMessage = string.Format("Parse fail with '{0}'", lineSeriesItemString);
return false;
}
AddItemSourceToSeries(chartType, series, pointList);
if (isSingleSeries)
{
AddAxesToSeries(chartType, series, independentValue);
}
else
{
//((ColumnSeries)series).IndependentAxis = new LinearAxis
//{
// Title = _independentLabel,
// Orientation = AxisOrientation.X,
// Minimum = (double)_minIndependentValue,
// Maximum = (double)_maxIndependentValue
//};
}
listOfSeries.Add(series);
parsed = true;
}
return parsed;
}
private AreaSeries createCalculatedAreaSeries(SemanticHistogramDatum datum, int numberOfTrip)
{
AreaSeries series = new AreaSeries();
if (datum == this.EnergyHistogramDatumFirst)
series.Title = "A：" + datum.SemanticLink.Semantics;
else
series.Title = "B：" + datum.SemanticLink.Semantics;
double sumValue = datum.HistogramData.Sum(v => v.Value);
series.Points.Add(new DataPoint(datum.MinLevel - datum.ClassWidth, 0));
foreach (LevelAndValue item in datum.HistogramData)
{
series.Points.Add(new DataPoint(item.Level, item.Value * numberOfTrip));
}
series.Points.Add(new DataPoint(datum.MaxLevel + datum.ClassWidth, 0));
return series;
}
public static PlotModel DefaultAnnotationLayer()
{
var plotModel1 = new PlotModel { Title = "Annotations should be drawn on top by default", Subtitle = "The line annotation should be on top!" };
var areaSeries1 = new AreaSeries();
areaSeries1.Points.Add(new DataPoint(0, 50));
areaSeries1.Points.Add(new DataPoint(10, 40));
areaSeries1.Points.Add(new DataPoint(20, 60));
areaSeries1.Points2.Add(new DataPoint(0, 60));
areaSeries1.Points2.Add(new DataPoint(5, 80));
areaSeries1.Points2.Add(new DataPoint(20, 70));
areaSeries1.Color = OxyColors.Red;
areaSeries1.Color2 = OxyColors.Blue;
areaSeries1.Fill = OxyColors.Yellow;
plotModel1.Series.Add(areaSeries1);
var lineAnnotation = new LineAnnotation
{
Type = LineAnnotationType.Vertical,
Layer = AnnotationLayer.AboveSeries,
X = 6
};
plotModel1.Annotations.Add(lineAnnotation);
return plotModel1;
}
void Setup(View itemView)
{
CurrencyPairLabel = itemView.FindViewById<TextView>(Resource.Id.SpotTileCurrencyPairTextView);
BidButton = itemView.FindViewById<PriceButton>(Resource.Id.SpotTileBidPriceButton);
AskButton = itemView.FindViewById<PriceButton>(Resource.Id.SpotTileAskPriceButton);
SpreadLabel = itemView.FindViewById<TextView>(Resource.Id.SpotTileSpreadTextView);
UpArrow = itemView.FindViewById<DirectionArrow>(Resource.Id.SpotTileUpArrow);
DownArrow = itemView.FindViewById<DirectionArrow>(Resource.Id.SpotTileDownArrow);
DealtCurrencyLabel = itemView.FindViewById<TextView>(Resource.Id.SpotTileDealtCurrencyTextView);
NotionalTextBox = itemView.FindViewById<EditText>(Resource.Id.SpotTileNotionalEditText);
SpotDateLabel = itemView.FindViewById<TextView>(Resource.Id.SpotTileSpotDateTextView);
Content = itemView.FindViewById<LinearLayout>(Resource.Id.SpotTileContent);
CardView = itemView.FindViewById<CardView>(Resource.Id.CardView);
ViewAnimator = itemView.FindViewById<ViewAnimator>(Resource.Id.ViewAnimator);
PlotView = itemView.FindViewById<PlotView>(Resource.Id.plotView);
PriceNotAvailableOverlay = itemView.FindViewById<LinearLayout>(Resource.Id.PriceNotAvailableOverlay);
CardView.PreventCornerOverlap = false;
CardView.Radius = 5;
NotionalTextBox.EditorAction += (sender, args) =>
{
if (args.ActionId == ImeAction.Done)
{
NotionalTextBox.ClearFocus();
HideKeyboard(NotionalTextBox);
}
};
_plotModel = new PlotModel
{
PlotAreaBorderThickness = new OxyThickness(0),
PlotAreaBorderColor = OxyColor.FromRgb(46, 59, 75)
};
_plotModel.Axes.Add(new LinearAxis { Position = AxisPosition.Left, IsAxisVisible = false, MaximumPadding = 0, MinimumPadding = 0, IsPanEnabled = false, IsZoomEnabled = false });
_plotModel.Axes.Add(new LinearAxis { Position = AxisPosition.Bottom, IsAxisVisible = false, MaximumPadding = 0, MinimumPadding = 0, IsPanEnabled = false, IsZoomEnabled = false });
_areaSeries = new AreaSeries {LineStyle = LineStyle.Solid, Color = OxyColor.FromRgb(46, 59, 75)};
_plotModel.Series.Add(_areaSeries);
_plotModel.Background = OxyColor.FromRgb(33, 42, 53);
PlotView.Model = _plotModel;
PlotView.OverScrollMode = OverScrollMode.Never;
PlotView.ScrollBarSize = 0;
PlotView.HorizontalScrollBarEnabled = false;
PlotView.VerticalScrollBarEnabled = false;
}
public static PlotModel SunriseandsunsetinOslo()
{
int year = DateTime.Now.Year;
#if PCL
var sunData = CreateSunData(year, 59.91, 10.75);
#else
var sunData = CreateSunData(year, 59.91, 10.75, TimeZoneInfo.FindSystemTimeZoneById("W. Europe Standard Time"));
#endif
var plotModel1 = new PlotModel("Sunrise and sunset in Oslo", "UTC time");
var dateTimeAxis1 = new DateTimeAxis
{
CalendarWeekRule = CalendarWeekRule.FirstFourDayWeek,
FirstDayOfWeek = DayOfWeek.Monday,
IntervalType = DateTimeIntervalType.Months,
MajorGridlineStyle = LineStyle.Solid,
Position = AxisPosition.Bottom,
StringFormat = "MMM"
};
plotModel1.Axes.Add(dateTimeAxis1);
var timeSpanAxis1 = new TimeSpanAxis { MajorGridlineStyle = LineStyle.Solid, Maximum = 86400, Minimum = 0, StringFormat = "h:mm" };
plotModel1.Axes.Add(timeSpanAxis1);
var areaSeries1 = new AreaSeries
{
ItemsSource = sunData,
DataFieldX = "Day",
DataFieldY = "Sunrise",
DataFieldX2 = "Day",
DataFieldY2 = "Sunset",
Fill = OxyColor.FromArgb(128, 255, 255, 0),
Color = OxyColors.Black
};
plotModel1.Series.Add(areaSeries1);
return plotModel1;
}
private void BindChartData()
{
try
{
if (Session["LegendA"] != null)
{
// lblLegend.Text = "Cashflow for " + Session["LegendA"].ToString();
// Session.Remove("Legend");
}
if (Session["LegendB"] != null)
{
//if (lblLegend.Text.Length == 0)
// lblLegend.Text = "Cashflow for " + Session["LegendB"].ToString();
//else
// lblLegend.Text = lblLegend.Text + "And " + Session["LegendB"].ToString();
}
if (Session["LegendC"] != null)
{
//if (lblLegend.Text.Length == 0)
// lblLegend.Text = "Cashflow for " + Session["LegendC"].ToString();
//else
// lblLegend.Text = lblLegend.Text + "And " + Session["LegendC"].ToString();
}
DataTable dt = new DataTable();
dt.Columns.Add("ID");
dt.Columns.Add("EndDate");
dt.Columns.Add("Notation");
if (Session["LegendA"] != null)
{
dt = GetCompactChartData(Session["LegendA"].ToString());
if (dt != null && dt.Rows.Count > 0)
{
// RadHtmlChart1.HttpHandlerUrl = ResolveUrl("ChartImage.axd");
AreaSeries chartLoanA = new AreaSeries();
chartLoanA.Name = Session["LegendA"].ToString();
object maxDate = dt.Compute("MAX(EndDate)", null);
// chartLoanA.PlotArea.XAxis.MaxValue = Convert.ToDouble(Convert.ToDateTime(maxDate).ToOADate());
for (int i = 0; i < dt.Rows.Count; i++)
{
var dr = (dt.Rows[i]).ItemArray;
SeriesItem item = new SeriesItem();
if (dr[1] != null && dr[2] != null)
{
CategorySeriesItem seriesItem = new CategorySeriesItem();
//item.ActiveRegion.Tooltip = "On Date" + Convert.ToDateTime(dr[1]) + "Fraction Value is" + Convert.ToDouble(dr[2]);
AxisItem axisItem = new AxisItem();
DateTime date = Convert.ToDateTime(dr[1]);
item.XValue = date.Ticks;
//axisItem.LabelText =
//RadHtmlChart1.PlotArea.XAxis.LabelsAppearance.RotationAngle = 60;
string month = date.Date.Month.ToString();
if (month.Length == 1)
{
month = "0" + month;
}
string str = month + date.Date.Year.ToString();
RadHtmlChart1.PlotArea.XAxis.Items.Add(str);
item.YValue = Convert.ToDecimal(dr[2].ToString());
//chartLoanA.Items.Add(item);
seriesItem.Y = Convert.ToDecimal(dr[2].ToString());
chartLoanA.SeriesItems.Add(seriesItem);
}
}
chartLoanA.LabelsAppearance.Visible = false;
chartLoanA.LineAppearance.LineStyle = ExtendedLineStyle.Step;
RadHtmlChart1.PlotArea.Series.Add(chartLoanA);
}
}
if (Session["LegendB"] != null)
{
dt = GetCompactChartData(Session["LegendB"].ToString());
if (dt != null && dt.Rows.Count > 0)
{
AreaSeries chartLoanB = new AreaSeries();
chartLoanB.Name = Session["LegendB"].ToString();
for (int i = 0; i < dt.Rows.Count; i++)
{
var dr = (dt.Rows[i]).ItemArray;
SeriesItem item = new SeriesItem();
if (dr[1] != null && dr[2] != null)
{
CategorySeriesItem seriesItem = new CategorySeriesItem();
DateTime date = Convert.ToDateTime(dr[1]);
//item.XValue = date.ToOADate();
//item.YValue = Convert.ToDouble(dr[2]);
item.YValue = Convert.ToDecimal(dr[2].ToString());
//chartLoanA.Items.Add(item);
string month = date.Date.Month.ToString();
if (month.Length == 1)
{
month = "0" + month;
}
string str = month + date.Date.Year.ToString();
RadHtmlChart1.PlotArea.XAxis.Items.Add(str);
seriesItem.Y = Convert.ToDecimal(dr[2].ToString());
chartLoanB.SeriesItems.Add(seriesItem);
}
}
chartLoanB.LabelsAppearance.Visible = false;
chartLoanB.LineAppearance.LineStyle = ExtendedLineStyle.Step;
RadHtmlChart1.PlotArea.Series.Add(chartLoanB);
}
}
if (Session["LegendC"] != null)
{
dt = GetCompactChartData(Session["LegendC"].ToString());
if (dt != null && dt.Rows.Count > 0)
{
AreaSeries chartLoanC = new AreaSeries();
chartLoanC.Name = Session["LegendC"].ToString();
for (int i = 0; i < dt.Rows.Count; i++)
{
var dr = (dt.Rows[i]).ItemArray;
SeriesItem item = new SeriesItem();
if (dr[1] != null && dr[2] != null)
{
CategorySeriesItem seriesItem = new CategorySeriesItem();
DateTime date = Convert.ToDateTime(dr[1]);
//item.XValue = date.ToOADate();
//item.YValue = Convert.ToDouble(dr[2]);
item.YValue = Convert.ToDecimal(dr[2].ToString());
//chartLoanA.Items.Add(item);
string month = date.Date.Month.ToString();
if (month.Length == 1)
{
month = "0" + month;
}
string str = month + date.Date.Year.ToString();
RadHtmlChart1.PlotArea.XAxis.Items.Add(str);
seriesItem.Y = Convert.ToDecimal(dr[2].ToString());
chartLoanC.SeriesItems.Add(seriesItem);
}
}
chartLoanC.LabelsAppearance.Visible = false;
chartLoanC.LineAppearance.LineStyle = ExtendedLineStyle.Step;
RadHtmlChart1.PlotArea.Series.Add(chartLoanC);
}
}
}
//RadHtmlChart1.DataSource = GetData();
//RadHtmlChart1.DataBind();
// tempCalculatedList = null;
catch (Exception)
{
}
}
