public ViewChart(Group current)
{
this.model = new PlotModel("Postęp nauki dla "+current.Name);
LineSeries basicSerie = new LineSeries("Postęp nauki");
LinearAxis ax = new LinearAxis();
ax.Unit = "%";
ax.Title = "Poprawne odpowiedzi";
model.Axes.Add(ax);
SqlAccess sql = new SqlAccess();
basicSerie.Smooth = true;
List<double> list = sql.GetStatsForGroup(current);
int i = 1;
if(list.Count>0)
basicSerie.Points.Add(new DataPoint(0.0,0));
basicSerie.MarkerType = MarkerType.Circle;
basicSerie.MarkerSize = 3;
basicSerie.SelectionMode = SelectionMode.Single;
foreach (double d in list)
{
basicSerie.Points.Add(new DataPoint(i,d));
i++;
}
this.model.Series.Add(basicSerie);
}
public static PlotModel LineSerieswithcustomTrackerFormatString()
{
var plotModel1 = new PlotModel();
plotModel1.Subtitle = "TrackerFormatString = \"X={2:0.0} Y={4:0.0}\"";
plotModel1.Title = "LineSeries with custom TrackerFormatString";
var linearAxis1 = new LinearAxis();
linearAxis1.Position = AxisPosition.Bottom;
plotModel1.Axes.Add(linearAxis1);
var linearAxis2 = new LinearAxis();
plotModel1.Axes.Add(linearAxis2);
var lineSeries1 = new LineSeries();
lineSeries1.TrackerFormatString = "X={2:0.0} Y={4:0.0}";
lineSeries1.Points.Add(new DataPoint(0, 20));
lineSeries1.Points.Add(new DataPoint(10, 21));
lineSeries1.Points.Add(new DataPoint(20, 24));
lineSeries1.Points.Add(new DataPoint(30, 22));
lineSeries1.Points.Add(new DataPoint(40, 17));
lineSeries1.Points.Add(new DataPoint(50, 21));
lineSeries1.Points.Add(new DataPoint(60, 23));
lineSeries1.Points.Add(new DataPoint(70, 27));
lineSeries1.Points.Add(new DataPoint(80, 27));
lineSeries1.Points.Add(new DataPoint(90, 22));
lineSeries1.Points.Add(new DataPoint(100, 25));
plotModel1.Series.Add(lineSeries1);
return plotModel1;
}
public void AddLine(DataPoint[] data)
{
var lineSeries = new LineSeries();
lineSeries.ItemsSource = data;
Plot.Series.Add(lineSeries);
var x = data.Select(d => d.X);
_xAxis = new LinearAxis { Position = OxyPlot.Axes.AxisPosition.Bottom }; //, Minimum = x.Min(), Maximum = x.Max() };
Plot.Axes.Add(_xAxis);
}
private RadCartesianChartView createChart(){
RadCartesianChartView chart = new RadCartesianChartView(this.Activity);
CategoricalAxis horizontalAxis = new CategoricalAxis();
chart.HorizontalAxis = horizontalAxis;
LinearAxis vertical1 = new LinearAxis();
vertical1.LabelFormat = "%.0f";
LinearAxis vertical2 = new LinearAxis();
vertical2.LabelFormat = "%.0f";
BarSeries series1 = new BarSeries();
ArrayList data = this.getData();
series1.ValueBinding = new ValueBinding1();
series1.CategoryBinding = new CategoryBinding();
series1.VerticalAxis = vertical1;
series1.Data = data;
chart.Series.Add(series1);
LineSeries series2 = new LineSeries();
series2.ValueBinding = new ValueBinding2();
series2.CategoryBinding = new CategoryBinding();
series2.VerticalAxis = (vertical2);
vertical2.HorizontalLocation = AxisHorizontalLocation.Right;
series2.Data = data;
chart.Series.Add(series2);
return chart;
}
/// <summary>
/// Funkcja przygotowujaca układ współrzędnych, ustala skale osi, tytuły, legendę i kolorystykę układu
/// </summary>
/// <param name="xMax"></param>
/// <param name="yMax"></param>
/// <param name="titleX"></param>
/// <param name="titleY"></param>
public void SetUpLegend(double xMax, double yMax, string titleX, string titleY)
{
plotModel.LegendTitle = "Legenda";
plotModel.LegendOrientation = LegendOrientation.Horizontal;
plotModel.LegendPlacement = LegendPlacement.Outside;
plotModel.LegendPosition = LegendPosition.BottomRight;
plotModel.LegendBackground = OxyColor.FromAColor(200, OxyPlot.OxyColors.White);
plotModel.LegendBorder = OxyColors.Black;
var xAxis = new LinearAxis()
{
Position = AxisPosition.Bottom,
Title = titleX,
Minimum = 0,
Maximum = xMax
};
plotModel.Axes.Add(xAxis);
var yAxis = new LinearAxis()
{
Position = AxisPosition.Left,
Title = titleY,
Minimum = 0,
Maximum = yMax
};
plotModel.Axes.Add(yAxis);
}
public BarChartMono()
{
InitializeComponent();
plotView1.Dock = DockStyle.Fill;
plotView1.Model = new PlotModel();
chart = plotView1.Model;
chart.IsLegendVisible = false;
chart.Background = OxyColors.White;
XAxis = new CategoryAxis();
XAxis.MajorGridlineThickness = 0;
XAxis.Position = AxisPosition.Bottom;
YAxis = new LinearAxis();
YAxis.MajorGridlineThickness = 0;
YAxis.TextColor = OxyColors.Transparent;
YAxis.TickStyle = OxyPlot.Axes.TickStyle.None;
// Chart area.
//chartArea.AxisX.MajorGrid.LineWidth = 0;
//chartArea.AxisY.MajorGrid.LineWidth = 0;
//chartArea.AxisX.IsLabelAutoFit = true;
//chartArea.AxisX.Interval = 1;
//chartArea.AxisY.LabelStyle.Enabled = false;
//chartArea.AxisY.IsLabelAutoFit = true;
chart.Axes.Add(XAxis);
chart.Axes.Add(YAxis);
}
private RadCartesianChartView createChart(){
//Create the Chart View
RadCartesianChartView chart = new RadCartesianChartView(this.Activity);
//Create the bar series and attach axes and value bindings.
BarSeries barSeries = new BarSeries();
barSeries.ValueBinding = new ValueBinding();
barSeries.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.LabelFitMode = AxisLabelFitMode.MultiLine;
barSeries.VerticalAxis = verticalAxis;
barSeries.HorizontalAxis = horizontalAxis;
//Bind series to data
barSeries.Data = this.getData();
//Add series to chart
chart.Series.Add(barSeries);
ChartSelectionBehavior sb = new ChartSelectionBehavior();
sb.DataPointsSelectionMode = ChartSelectionMode.Single;
chart.Behaviors.Add(sb);
return chart;
}
public static PlotModel BarSeries()
{
var model = new PlotModel
{
Title = "BarSeries",
LegendPlacement = LegendPlacement.Outside,
LegendPosition = LegendPosition.BottomCenter,
LegendOrientation = LegendOrientation.Horizontal,
LegendBorderThickness = 0
};
var s1 = new BarSeries { Title = "Series 1", StrokeColor = OxyColors.Black, StrokeThickness = 1 };
s1.Items.Add(new BarItem { Value = 25 });
s1.Items.Add(new BarItem { Value = 137 });
s1.Items.Add(new BarItem { Value = 18 });
s1.Items.Add(new BarItem { Value = 40 });
var s2 = new BarSeries { Title = "Series 2", StrokeColor = OxyColors.Black, StrokeThickness = 1 };
s2.Items.Add(new BarItem { Value = 12 });
s2.Items.Add(new BarItem { Value = 14 });
s2.Items.Add(new BarItem { Value = 120 });
s2.Items.Add(new BarItem { Value = 26 });
var categoryAxis = new CategoryAxis { Position = AxisPosition.Left };
categoryAxis.Labels.Add("Category A");
categoryAxis.Labels.Add("Category B");
categoryAxis.Labels.Add("Category C");
categoryAxis.Labels.Add("Category D");
var valueAxis = new LinearAxis { Position = AxisPosition.Bottom, MinimumPadding = 0, MaximumPadding = 0.06, AbsoluteMinimum = 0 };
model.Series.Add(s1);
model.Series.Add(s2);
model.Axes.Add(categoryAxis);
model.Axes.Add(valueAxis);
return model;
}
public static PlotModel MinuteData_DateTimeAxis()
{
var pm = new PlotModel { Title = "Minute Data (DateTimeAxis)" };
var timeSpanAxis1 = new DateTimeAxis { Position = AxisPosition.Bottom, StringFormat = "hh:mm" };
pm.Axes.Add(timeSpanAxis1);
var linearAxis1 = new LinearAxis { Position = AxisPosition.Left };
pm.Axes.Add(linearAxis1);
var candleStickSeries = new CandleStickSeries
{
CandleWidth = 6,
Color = OxyColors.Black,
IncreasingFill = OxyColors.DarkGreen,
DecreasingFill = OxyColors.Red,
DataFieldX = "Time",
DataFieldHigh = "H",
DataFieldLow = "L",
DataFieldOpen = "O",
DataFieldClose = "C",
TrackerFormatString = "High: {2:0.00}\nLow: {3:0.00}\nOpen: {4:0.00}\nClose: {5:0.00}",
ItemsSource = lst
};
pm.Series.Add(candleStickSeries);
return pm;
}
private void setModel()
{
LinearAxis lineAxis1 = new LinearAxis();
LinearAxis lineAxis2 = new LinearAxis();
LinearAxis lineAxis3 = new LinearAxis();
LinearAxis lineAxis4 = new LinearAxis();
lineAxis1.Position = AxisPosition.Bottom;
lineAxis2.Position = AxisPosition.Left;
lineAxis3.Position = AxisPosition.Bottom;
lineAxis4.Position = AxisPosition.Left;
LogarithmicAxis logAxis1 = new LogarithmicAxis();
LogarithmicAxis logAxis2 = new LogarithmicAxis();
LogarithmicAxis logAxis3 = new LogarithmicAxis();
LogarithmicAxis logAxis4 = new LogarithmicAxis();
logAxis1.Position = AxisPosition.Bottom;
logAxis2.Position = AxisPosition.Left;
logAxis3.Position = AxisPosition.Bottom;
logAxis4.Position = AxisPosition.Left;
this.doublelogModel.MyModel.Axes.Add(logAxis1);
this.doublelogModel.MyModel.Axes.Add(logAxis2);
this.doublelineModel.MyModel.Axes.Add(lineAxis1);
this.doublelineModel.MyModel.Axes.Add(lineAxis2);
this.logxModel.MyModel.Axes.Add(logAxis3);
this.logxModel.MyModel.Axes.Add(lineAxis4);
this.logyModel.MyModel.Axes.Add(lineAxis3);
this.logyModel.MyModel.Axes.Add(logAxis4);
}
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 spline area series and attach axes and value bindings.
SplineAreaSeries areaSeries = new SplineAreaSeries();
//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;
}
public static PlotModel TimeSpanaxisPlotModel()
{
var start = new TimeSpan(0, 0, 0, 0);
var end = new TimeSpan(0, 24, 0, 0);
double increment = 3600;
// Create a random data collection
var r = new Random(7);
var data = new Collection<TimeValue>();
var current = start;
while (current <= end)
{
data.Add(new TimeValue { Time = current, Value = r.NextDouble() });
current = current.Add(new TimeSpan(0, 0, (int)increment));
}
var plotModel1 = new PlotModel { Title = "TimeSpan axis" };
var timeSpanAxis1 = new TimeSpanAxis { Position = AxisPosition.Bottom, StringFormat = "h:mm" };
plotModel1.Axes.Add(timeSpanAxis1);
var linearAxis1 = new LinearAxis { Position = AxisPosition.Left };
plotModel1.Axes.Add(linearAxis1);
var lineSeries1 = new LineSeries
{
Color = OxyColor.FromArgb(255, 78, 154, 6),
MarkerFill = OxyColor.FromArgb(255, 78, 154, 6),
MarkerStroke = OxyColors.ForestGreen,
MarkerType = MarkerType.Plus,
StrokeThickness = 1,
DataFieldX = "Time",
DataFieldY = "Value",
ItemsSource = data
};
plotModel1.Series.Add(lineSeries1);
return plotModel1;
}
public static PlotModel IntervalBarSeries()
{
var model = new PlotModel { Title = "IntervalBarSeries", LegendPlacement = LegendPlacement.Outside };
var s1 = new IntervalBarSeries { Title = "IntervalBarSeries 1" };
s1.Items.Add(new IntervalBarItem { Start = 6, End = 8 });
s1.Items.Add(new IntervalBarItem { Start = 4, End = 8 });
s1.Items.Add(new IntervalBarItem { Start = 5, End = 11 });
s1.Items.Add(new IntervalBarItem { Start = 4, End = 12 });
model.Series.Add(s1);
var s2 = new IntervalBarSeries { Title = "IntervalBarSeries 2" };
s2.Items.Add(new IntervalBarItem { Start = 8, End = 9 });
s2.Items.Add(new IntervalBarItem { Start = 8, End = 10 });
s2.Items.Add(new IntervalBarItem { Start = 11, End = 12 });
s2.Items.Add(new IntervalBarItem { Start = 12, End = 12.5 });
model.Series.Add(s2);
var categoryAxis = new CategoryAxis { Position = AxisPosition.Left };
categoryAxis.Labels.Add("Activity A");
categoryAxis.Labels.Add("Activity B");
categoryAxis.Labels.Add("Activity C");
categoryAxis.Labels.Add("Activity D");
var valueAxis = new LinearAxis { Position = AxisPosition.Bottom, MinimumPadding = 0.1, MaximumPadding = 0.1 };
model.Axes.Add(categoryAxis);
model.Axes.Add(valueAxis);
return model;
}
public GraphSalesRank()
{
model = new PlotModel();
model.Title = "SalesRank";
DateTimeAxis axisX = new DateTimeAxis();
axisX.Position = AxisPosition.Bottom;
axisX.Title = "Date";
model.Axes.Add(axisX);
LinearAxis axisY = new LinearAxis();
axisY.Position = AxisPosition.Left;
axisY.Minimum = 0;
axisY.Title = "SalesRank";
model.Axes.Add(axisY);
series = new LineSeries();
series.Title = string.Format("ASIN: {0}", this.Asin);
this.Asin = "0061670898";
model.Series.Add(series);
InitializeComponent();
oxyPlotView.Model = model;
}
public static PlotModel GridLinesBothDifferentColors()
{
var plotModel1 = new PlotModel
{
Title = "Major grid lines in front of minor",
Subtitle = "Minor grid lines should be below major grid lines"
};
var leftAxis = new LinearAxis
{
MajorGridlineStyle = LineStyle.Solid,
MajorGridlineColor = OxyColors.Black,
MajorGridlineThickness = 4,
MinorGridlineStyle = LineStyle.Solid,
MinorGridlineColor = OxyColors.LightBlue,
MinorGridlineThickness = 4,
};
plotModel1.Axes.Add(leftAxis);
var bottomAxis = new LinearAxis
{
Position = AxisPosition.Bottom,
MajorGridlineStyle = LineStyle.Solid,
MajorGridlineColor = OxyColors.Black,
MajorGridlineThickness = 4,
MinorGridlineStyle = LineStyle.Solid,
MinorGridlineColor = OxyColors.LightBlue,
MinorGridlineThickness = 4,
};
plotModel1.Axes.Add(bottomAxis);
return plotModel1;
}
public static Page GetMainPage()
{
var plotModel = new PlotModel
{
Title = "OxyPlot in Xamarin.Forms",
Subtitle = string.Format("OS: {0}, Idiom: {1}", Device.OS, Device.Idiom),
Background = OxyColors.LightYellow,
PlotAreaBackground = OxyColors.LightGray
};
var categoryAxis = new CategoryAxis { Position = AxisPosition.Bottom };
var valueAxis = new LinearAxis { Position = AxisPosition.Left, MinimumPadding = 0 };
plotModel.Axes.Add(categoryAxis);
plotModel.Axes.Add(valueAxis);
var series = new ColumnSeries();
series.Items.Add(new ColumnItem { Value = 3 });
series.Items.Add(new ColumnItem { Value = 14 });
series.Items.Add(new ColumnItem { Value = 11 });
series.Items.Add(new ColumnItem { Value = 12 });
series.Items.Add(new ColumnItem { Value = 7 });
plotModel.Series.Add(series);
return new ContentPage
{
Padding = new Thickness(0, 20, 0, 0),
Content = new PlotView
{
Model = plotModel,
VerticalOptions = LayoutOptions.Fill,
HorizontalOptions = LayoutOptions.Fill,
},
};
}
private RadCartesianChartView createChart()
{
//Create the Chart View
RadCartesianChartView chart = new RadCartesianChartView(this.Activity);
//Create the bar series and attach axes and value bindings.
BarSeries barSeries = new BarSeries();
barSeries.ValueBinding = new ValueBinding();
barSeries.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();
barSeries.VerticalAxis = verticalAxis;
barSeries.HorizontalAxis = horizontalAxis;
//Bind series to data
barSeries.Data = this.getData();
//Add series to chart
chart.Series.Add(barSeries);
CartesianPlotBandAnnotation annotation = new CartesianPlotBandAnnotation(verticalAxis, 6, 8);
chart.Annotations.Add(annotation);
annotation.FillColor = Color.Argb(150, 0, 148, 255);
annotation.StrokeColor = Color.Argb(150, 0, 74, 127);
annotation.StrokeColor = 4;
annotation.ZIndex = 1001;
return chart;
}
public PlotViewModel(LineMode mode, int dataPointsCount, Axis yAxis)
{
Mode = mode;
DataPointsCount = dataPointsCount;
_series = new Dictionary<string, LineSeries>();
_lastPointOfSeries = new Dictionary<string, DataPoint>();
LinearAxis xAxis = new LinearAxis();
xAxis.Position = AxisPosition.Bottom;
xAxis.Title = "Time";
yAxis.Position = AxisPosition.Left;
yAxis.Title = "Values";
var plot = new PlotModel
{
Title = Title,
TitleHorizontalAlignment = TitleHorizontalAlignment.CenteredWithinPlotArea,
LegendOrientation = LegendOrientation.Horizontal,
LegendPlacement = LegendPlacement.Outside,
LegendPosition = LegendPosition.TopCenter
};
plot.Axes.Add(xAxis);
plot.Axes.Add(yAxis);
Plot = plot;
}
public XicViewModel(IEnumerable<UMCLight> features, string name)
: base(name)
{
var intensityAxis = new LinearAxis
{
Position = AxisPosition.Left,
IsPanEnabled = false,
IsZoomEnabled = false,
AbsoluteMinimum = 0,
UseSuperExponentialFormat = true,
Title = "Intensity"
};
var scanAxis = new LinearAxis
{
Position = AxisPosition.Bottom,
IsZoomEnabled = true,
Title = "Scan"
};
Model.Axes.Add(scanAxis);
Model.Axes.Add(intensityAxis);
Model.MouseDown += Model_MouseDown;
Model.MouseMove += Model_MouseMove;
Model.MouseUp += Model_MouseUp;
PlotFeatures(features);
}
private PlotModel CreateModel(String title)
{
var plotModel1 = new PlotModel();
plotModel1.Title = title;
var linearAxis1 = new DateTimeAxis(AxisPosition.Bottom, _start, _start + TimeSpan.FromMinutes(1));
linearAxis1.MajorGridlineStyle = LineStyle.Solid;
linearAxis1.MinorGridlineStyle = LineStyle.Dot;
plotModel1.Axes.Add(linearAxis1);
var linearAxis2 = new LinearAxis(AxisPosition.Left, "Value");
linearAxis2.MajorGridlineStyle = LineStyle.Solid;
linearAxis2.MinorGridlineStyle = LineStyle.Dot;
plotModel1.Axes.Add(linearAxis2);
plotModel1.Series.Add(new LineSeries()
{
Title = "X",
Points = new List<IDataPoint>()
});
plotModel1.Series.Add(new LineSeries()
{
Title = "Y",
Points = new List<IDataPoint>()
});
plotModel1.Series.Add(new LineSeries()
{
Title = "Z",
Points = new List<IDataPoint>()
});
return plotModel1;
}
private RadCartesianChartView createChart(){
//Create the Chart View
RadCartesianChartView chart = new RadCartesianChartView(this.Activity);
//Create the scatter bubble series and attach axes and value bindings.
ScatterBubbleSeries scatterBubbleSeries = new ScatterBubbleSeries();
scatterBubbleSeries.BubbleScale = 1000;
scatterBubbleSeries.XValueBinding = new XValueBinding();
scatterBubbleSeries.YValueBinding = new YValueBinding();
scatterBubbleSeries.BubbleSizeBinding = new AreaValueBinding();
LinearAxis verticalAxis = new LinearAxis();
//The values in the linear axis will not have values after the decimal point.
verticalAxis.LabelFormat = "%.2f";
LinearAxis horizontalAxis = new LinearAxis();
horizontalAxis.LabelFormat = "%.2f";
scatterBubbleSeries.VerticalAxis = verticalAxis;
scatterBubbleSeries.HorizontalAxis = horizontalAxis;
//Bind series to data
scatterBubbleSeries.Data = this.getData();
//Add series to chart
chart.Series.Add(scatterBubbleSeries);
return chart;
}
private void MetroWindow_Loaded(object sender, RoutedEventArgs e)
{
if (Datos == null || Datos.Count() == 0)
{
return;
}
var plotModel1 = new PlotModel();
plotModel1.Title = "Idiomas";
var categoryAxis1 = new CategoryAxis();
categoryAxis1.Position = AxisPosition.Left;
plotModel1.Axes.Add(categoryAxis1);
var linearAxis1 = new LinearAxis();
linearAxis1.AxislineStyle = LineStyle.Solid;
linearAxis1.Position = AxisPosition.Bottom;
plotModel1.Axes.Add(linearAxis1);
var barSeries1 = new BarSeries();
foreach (var item in Datos)
{
categoryAxis1.ActualLabels.Add(item.Idioma);
barSeries1.Items.Add(new BarItem(item.Certeza));
}
plotModel1.Series.Add(barSeries1);
Grafica.Model = plotModel1;
}
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 MsFeatureSpectraViewModel(MSFeatureLight feature, IEnumerable<XYData> spectrum, string name)
: base(name)
{
MsmsDistanceLower = 1.5;
MsmsDistanceUpper = 1.5;
var mzAxis = new LinearAxis
{
Position = AxisPosition.Bottom,
IsZoomEnabled = true,
MinorStep = 1,
AbsoluteMinimum = 0
};
var intensityAxis = new LinearAxis
{
IsPanEnabled = false,
Position = AxisPosition.Left,
IsZoomEnabled = true,
Minimum = 0,
AbsoluteMinimum = 0,
UseSuperExponentialFormat = true
};
Model.Axes.Add(mzAxis);
Model.Axes.Add(intensityAxis);
m_mzAxis = mzAxis;
PlotSpectra(feature, spectrum);
}
private RadCartesianChartView createChart(){
//Create the Chart View
RadCartesianChartView chart = new RadCartesianChartView(this.Activity);
//Create the bar series and attach axes and value bindings.
BarSeries barSeries = new BarSeries();
barSeries.ValueBinding = new ValueBinding();
barSeries.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();
barSeries.VerticalAxis = verticalAxis;
barSeries.HorizontalAxis = horizontalAxis;
//Bind series to data
barSeries.Data = this.getData();
//Add series to chart
chart.Series.Add(barSeries);
CartesianGridLineAnnotation annotation = new CartesianGridLineAnnotation(verticalAxis, 3);
chart.Annotations.Add(annotation);
annotation.LabelHorizontalAlignment = HorizontalAlignment.Left;
annotation.StrokeColor = Color.Argb(255, 235, 100, 32);
annotation.StrokeWidth = 4;
annotation.ZIndex = 1001;
annotation.Label = "This is Grid Line annotation";
return chart;
}
public static Example LargeDataSetNarrow()
{
var pm = new PlotModel { Title = "Large Data Set (narrow window)" };
var timeSpanAxis1 = new DateTimeAxis { Position = AxisPosition.Bottom };
pm.Axes.Add(timeSpanAxis1);
var linearAxis1 = new LinearAxis { Position = AxisPosition.Left };
pm.Axes.Add(linearAxis1);
var n = 1000000;
var items = HighLowItemGenerator.MRProcess(n).ToArray();
var series = new CandleStickSeries
{
Color = OxyColors.Black,
IncreasingColor = OxyColors.DarkGreen,
DecreasingColor = OxyColors.Red,
TrackerFormatString =
"High: {2:0.00}\nLow: {3:0.00}\nOpen: {4:0.00}\nClose: {5:0.00}",
ItemsSource = items
};
timeSpanAxis1.Minimum = items[0].X;
timeSpanAxis1.Maximum = items[29].X;
linearAxis1.Minimum = items.Take(30).Select(x => x.Low).Min();
linearAxis1.Maximum = items.Take(30).Select(x => x.High).Max();
pm.Series.Add(series);
timeSpanAxis1.AxisChanged += (sender, e) => AdjustYExtent(series, timeSpanAxis1, linearAxis1);
var controller = new PlotController();
controller.UnbindAll();
controller.BindMouseDown(OxyMouseButton.Left, PlotCommands.PanAt);
return new Example(pm, controller);
}
public object Convert(object value, Type targetType, object parameter, System.Globalization.CultureInfo culture)
{
DailySeriesViewModel dailyVM = (DailySeriesViewModel)value;
LinearAxis axis = new LinearAxis();
axis.HorizontalLocation = AxisHorizontalLocation.Right;
BindingOperations.SetBinding(axis, LinearAxis.ElementBrushProperty, new Binding("DailyStroke") { Source = dailyVM });
return axis;
}
private static PlotModel CreatePlotModel(double min, double max)
{
var model = new PlotModel();
var verticalAxis = new LinearAxis { Position = AxisPosition.Left, Minimum = min, Maximum = max };
model.Axes.Add(verticalAxis);
model.Axes.Add(new LinearAxis { Position = AxisPosition.Bottom });
model.Series.Add(new FunctionSeries(x => Math.Sin(x * Math.PI * 4) * Math.Sin(x * Math.PI * 4) * Math.Sqrt(x) * max, 0, 1, 1000));
return model;
}
public static PlotModel MajorStepCategoryAxis()
{
var plotModel1 = new PlotModel { Title = "Major Step = 4, IsTickCentered = true" };
var catAxis = new CategoryAxis { IsTickCentered = true, MajorStep = 4 };
catAxis.Labels.AddRange(new[] { "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12" });
plotModel1.Axes.Add(catAxis);
var linearAxis = new LinearAxis { Position = AxisPosition.Left };
plotModel1.Axes.Add(linearAxis);
return plotModel1;
}
public static PlotModel StandardCategoryAxis()
{
var plotModel1 = new PlotModel { Title = "Standard" };
var catAxis = new CategoryAxis();
catAxis.Labels.AddRange(new[] { "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12" });
plotModel1.Axes.Add(catAxis);
var linearAxis = new LinearAxis { Position = AxisPosition.Left };
plotModel1.Axes.Add(linearAxis);
return plotModel1;
}
async Task OnLoadGraphCommand(int?Year)
{
try
{
IsBusy = true;
Model.InvalidatePlot(true);
var linearAxis1 = new LinearAxis();
linearAxis1.AbsoluteMinimum = 0;
linearAxis1.AbsoluteMaximum = 200;
var barSeries = new ColumnSeries
{
LabelPlacement = LabelPlacement.Inside,
LabelFormatString = "{0}",
};
int?year = Year == 0 || Year == null ? 0 : Year;
if (year == 0)
{
year = 0;
}
var userId = Preferences.Get(AuthorizeConstants.UserIdKey, null);
var data = await _reservationServices.GraphYearReservation(Convert.ToInt32(userId), (int)year, 1, 100);
if (data == null)
{
await Shell.Current.DisplayAlert("แจ้งเตือน!", "ไม่มีช้อมูลที่คุณเลือก", "ตกลง");
await Shell.Current.Navigation.PopAsync();
return;
}
int[] CountArrays = new int[13];
foreach (var item in data)
{
for (int i = 1; i <= 12; i++)
{
if (i == item.Months.Value)
{
CountArrays[item.Months.Value] = CountArrays[item.Months.Value] + 1;
}
else
{
CountArrays[item.Months.Value] = CountArrays[item.Months.Value] + 0;
}
}
}
String[] strNames = new String[] { "ม.ค", "ก.พ", "มี.ค", "เม.ย", "พ.ค", "มิ.ย",
"ก.ค", "ส.ค", "ก.ย", "ต.ค", "พ.ย", "ธ.ค" };
for (int i = 2; i <= 13; i++)
{
barSeries.Items.Add(new ColumnItem
{
Value = Convert.ToDouble(CountArrays[i - 1]),
Color = OxyColor.Parse("#f1c40f")
});
}
Model.Axes.Add(new CategoryAxis
{
Position = AxisPosition.Bottom,
Key = "Sample Data",
ItemsSource = strNames,
IsPanEnabled = false,
IsZoomEnabled = false,
Selectable = false,
});
Model.Axes.Add(linearAxis1);
Model.Series.Add(barSeries);
}
catch (Exception ex)
{
throw ex;
}
finally
{
IsBusy = false;
Model.InvalidatePlot(true);
}
}
private void bShowChart_Click(object sender, EventArgs e)
{
if (cDropDownMonth.Enabled == true)
{
radChartView1.Series.Clear();
radChartView1.Axes.Clear();
int monthInteger = Convert.ToInt32(cDropDownMonth.SelectedValue.ToString());
int year = Convert.ToInt32(numericUpDown1.Value);
OtherRepository repo = new OtherRepository();
List <DayReport> list = repo.getGroupByDay(year, monthInteger);
CartesianSeries series = new LineSeries();
CategoricalAxis horizontalAxis = new CategoricalAxis();
horizontalAxis.PlotMode = AxisPlotMode.OnTicksPadded;
LinearAxis verticalAxis = new LinearAxis();
verticalAxis.AxisType = AxisType.Second;
series.PointSize = new SizeF(5, 5);
series.HorizontalAxis = horizontalAxis;
series.VerticalAxis = verticalAxis;
series.BorderWidth = 3;
series.BorderColor = Color.SkyBlue;
series.CategoryMember = "Day";
series.ValueMember = "Income";
series.DataSource = list;
series.ShowLabels = true;
this.radChartView1.Series.Add(series);
}
else if (comboBox1.SelectedIndex == 1)
{
radChartView1.Series.Clear();
radChartView1.Axes.Clear();
int monthInteger = Convert.ToInt32(cDropDownMonth.SelectedValue.ToString());
int year = Convert.ToInt32(numericUpDown1.Value);
OtherRepository repo = new OtherRepository();
List <MonthReport> list = repo.getGroupByMonth(year);
CartesianSeries series = new LineSeries();
CategoricalAxis horizontalAxis = new CategoricalAxis();
horizontalAxis.PlotMode = AxisPlotMode.OnTicksPadded;
LinearAxis verticalAxis = new LinearAxis();
verticalAxis.AxisType = AxisType.Second;
series.PointSize = new SizeF(5, 5);
series.HorizontalAxis = horizontalAxis;
series.VerticalAxis = verticalAxis;
series.BorderWidth = 3;
series.BorderColor = Color.SkyBlue;
series.CategoryMember = "Month";
series.ValueMember = "Income";
series.DataSource = list;
series.ShowLabels = true;
this.radChartView1.Series.Add(series);
}
else
{
radChartView1.Series.Clear();
radChartView1.Axes.Clear();
int monthInteger = Convert.ToInt32(cDropDownMonth.SelectedValue.ToString());
int year = Convert.ToInt32(numericUpDown1.Value);
OtherRepository repo = new OtherRepository();
List <YearReport> list = repo.getGroupByYear();
CartesianSeries series = new LineSeries();
CategoricalAxis horizontalAxis = new CategoricalAxis();
horizontalAxis.PlotMode = AxisPlotMode.OnTicksPadded;
LinearAxis verticalAxis = new LinearAxis();
verticalAxis.AxisType = AxisType.Second;
series.PointSize = new SizeF(5, 5);
series.HorizontalAxis = horizontalAxis;
series.VerticalAxis = verticalAxis;
series.BorderWidth = 3;
series.BorderColor = Color.SkyBlue;
series.CategoryMember = "Year";
series.ValueMember = "Income";
series.DataSource = list;
series.ShowLabels = true;
this.radChartView1.Series.Add(series);
}
}
public static void Plot3SeriaKolumnowy(string xTitle, string yTitle, OxyColor color1, OxyColor color2,
OxyColor color3, int[,] histogramValues, string label1, string label2, string label3, PlotModel histogramModel,
bool chkR, bool chkG, bool chkB)
{
histogramModel.Series.Clear();
histogramModel.Axes.Clear();
var l = histogramValues.Length / 3;
var categoryAxisRGB = new CategoryAxis
{
GapWidth = 0,
IsAxisVisible = false,
IsZoomEnabled = false,
MinorStep = 1
};
var s1 = new ColumnSeries
{
Title = label1,
StrokeColor = color1,
FillColor = color1,
StrokeThickness = 1
};
for (int i = 0; i < l; i++)
{
int y_val = histogramValues[i, 0];
categoryAxisRGB.Labels.Add(i.ToString());
s1.Items.Add(new ColumnItem {
Value = y_val, Color = color1
});
}
var s2 = new ColumnSeries {
Title = label2, StrokeColor = color2, FillColor = color2, StrokeThickness = 1
};
for (int i = 0; i < l; i++)
{
int y_val = histogramValues[i, 1];
s2.Items.Add(new ColumnItem {
Value = y_val, Color = color2
});
}
var s3 = new ColumnSeries {
Title = label3, StrokeColor = color3, FillColor = color3, StrokeThickness = 1
};
for (int i = 0; i < l; i++)
{
int y_val = histogramValues[i, 2];
s3.Items.Add(new ColumnItem {
Value = y_val, Color = color3
});
}
var linearAxisRGB1 = new LinearAxis
{
Maximum = l,
Minimum = 0,
IsZoomEnabled = false,
Position = AxisPosition.Bottom,
Title = xTitle
};
var linearAxisRGB2 = new LinearAxis
{
AbsoluteMinimum = 0,
MinimumPadding = 0,
IsZoomEnabled = false,
Title = yTitle
};
histogramModel.Axes.Add(categoryAxisRGB);
histogramModel.Axes.Add(linearAxisRGB1);
histogramModel.Axes.Add(linearAxisRGB2);
if (chkR)
{
histogramModel.Series.Add(s1);
}
if (chkG)
{
histogramModel.Series.Add(s2);
}
if (chkB)
{
histogramModel.Series.Add(s3);
}
histogramModel.InvalidatePlot(true);
}
private PlotModel CreatePlotModelEnergyStack()
{
var model = new PlotModel();
var axisX = new CategoryAxis
{
ItemsSource = EnergyStackModelList,
LabelField = "Category",
Position = AxisPosition.Bottom
};
model.Axes.Add(axisX);
var axisY = new LinearAxis
{
Title = "Energy",
Unit = "kWh",
Position = AxisPosition.Left
};
model.Axes.Add(axisY);
foreach (var propertyInfo in typeof(EnergyStackModel).GetRuntimeProperties())
{
if (propertyInfo.Name == "Category")
{
continue;
}
var series = new ColumnSeries
{
ItemsSource = EnergyStackModelList,
ValueField = propertyInfo.Name,
IsStacked = true
};
if (propertyInfo.Name.Contains("Blank"))
{
series.FillColor = OxyColors.White;
}
else if (propertyInfo.Name.Contains("Defeat"))
{
series.FillColor = OxyColors.Black;
}
else if (propertyInfo.Name.Contains("Air"))
{
series.FillColor = OxyColors.Yellow;
}
else if (propertyInfo.Name.Contains("Rolling"))
{
series.FillColor = OxyColors.Orange;
}
else if (propertyInfo.Name.Contains("Regene"))
{
series.FillColor = OxyColors.DeepPink;
}
else if (propertyInfo.Name.Contains("ConvertLoss"))
{
series.FillColor = OxyColors.Red;
}
model.Series.Add(series);
}
return(model);
}
/// <summary>
/// Render x/y line chart.
/// </summary>
/// <param name="selectedChart"></param>
/// <returns>plot model</returns>
protected PlotModel RenderSimple(string selectedChart)
{
//===== get plot data
var chartData = PlotData[selectedChart];
string xLabel = chartData
.First() // first row is as good as any
.First().Key; // first column is x-axis
object xValue = chartData
.First() // first row is as good as any
.First().Value; // first column is x-axis
//===== initialize plot model
PlotModel plotModel = new PlotModel();
plotModel.Title = selectedChart;
plotModel.LegendPosition = LegendPosition.LeftTop;
plotModel.Axes.Clear();
Axis xAxis = xValue.GetType() == typeof(DateTime)
? new DateTimeAxis()
: new LinearAxis();
xAxis.Title = xLabel;
xAxis.Position = AxisPosition.Bottom;
xAxis.Key = "x";
var yAxis = new LinearAxis();
yAxis.Position = AxisPosition.Right;
yAxis.Key = "y";
plotModel.Axes.Add(xAxis);
plotModel.Axes.Add(yAxis);
//===== create series
Dictionary <string, LineSeries> allSeries = new Dictionary <string, LineSeries>();
foreach (var row in chartData)
{
xValue = row[xLabel];
foreach (var col in row)
{
if (col.Key == xLabel)
{
continue;
}
if (col.Value.GetType() != typeof(double) ||
double.IsInfinity((double)col.Value) || double.IsNaN((double)col.Value))
{
continue;
}
string yLabel = col.Key;
double yValue = (double)col.Value;
if (!allSeries.ContainsKey(yLabel))
{
var newSeries = new LineSeries();
newSeries.Title = yLabel;
newSeries.IsVisible = true;
newSeries.XAxisKey = "x";
newSeries.YAxisKey = "y";
allSeries[yLabel] = newSeries;
}
allSeries[yLabel].Points.Add(new DataPoint(
xValue.GetType() == typeof(DateTime) ? DateTimeAxis.ToDouble(xValue) : (double)xValue,
(double)yValue));
}
}
//===== add series to plot model
foreach (var series in allSeries)
{
plotModel.Series.Add(series.Value);
}
return(plotModel);
}
private PlotModel CreateBarChart(bool stacked, string title)
{
var model = new PlotModel
{
Title = title,
LegendPlacement = LegendPlacement.Outside,
LegendPosition = LegendPosition.BottomCenter,
LegendOrientation = LegendOrientation.Horizontal,
LegendBorderThickness = 0
};
var s1 = new BarSeries {
Title = "Cold Drink", IsStacked = stacked,
};
s1.Items.Add(new BarItem {
Value = 25
});
s1.Items.Add(new BarItem {
Value = 60
});
s1.Items.Add(new BarItem {
Value = 90
});
s1.Items.Add(new BarItem {
Value = 50
});
var s2 = new BarSeries {
Title = "Tea", IsStacked = stacked,
};
s2.Items.Add(new BarItem {
Value = 75
});
s2.Items.Add(new BarItem {
Value = 40
});
s2.Items.Add(new BarItem {
Value = 10
});
s2.Items.Add(new BarItem {
Value = 45
});
var categoryAxis = new CategoryAxis {
Position = AxisPosition.Left
};
categoryAxis.Labels.Add("Winter");
categoryAxis.Labels.Add("Spring");
categoryAxis.Labels.Add("Summer");
categoryAxis.Labels.Add("Autumn");
var valueAxis = new LinearAxis {
Position = AxisPosition.Bottom, MinimumPadding = 0, MaximumPadding = 0.06, AbsoluteMinimum = 0
};
model.Series.Add(s1);
model.Series.Add(s2);
model.Axes.Add(categoryAxis);
model.Axes.Add(valueAxis);
return(model);
}
public void init()
{
generador.CalcularBiorritmo(_livingDaysFirstDayMonth, BiorytmDays.biorritmo_fisico);
//Tabla.ItemsSource = null;
//Tabla.ItemsSource = generador.Puntos;
PlotModel model = new PlotModel();
LinearAxis ejeX = new LinearAxis();
ejeX.Minimum = double.Parse("1");
ejeX.Maximum = double.Parse("30");
ejeX.Position = AxisPosition.Bottom;
LinearAxis ejeY = new LinearAxis();
ejeY.Minimum = generador.Puntos.Min(p => p.Y);
ejeY.Maximum = generador.Puntos.Max(p => p.Y);
ejeY.Position = AxisPosition.Left;
model.Axes.Add(ejeX);
model.Axes.Add(ejeY);
model.Title = "Biorritmo";
LineSeries Fisico = new LineSeries();
foreach (var item in generador.Puntos)
{
Fisico.Points.Add(new DataPoint(item.X, item.Y));
}
Fisico.Title = "Fisico";
Fisico.Color = OxyColor.FromRgb(byte.Parse(r.Next(0, 255).ToString()), byte.Parse(r.Next(0, 255).ToString()), byte.Parse(r.Next(0, 255).ToString()));
generador.CalcularBiorritmo(_livingDaysFirstDayMonth, BiorytmDays.biorritmo_emocional);
LineSeries Emocional = new LineSeries();
foreach (var item in generador.Puntos)
{
Emocional.Points.Add(new DataPoint(item.X, item.Y));
}
Emocional.Title = "Emocional";
Emocional.Color = OxyColor.FromRgb(byte.Parse(r.Next(0, 255).ToString()), byte.Parse(r.Next(0, 255).ToString()), byte.Parse(r.Next(0, 255).ToString()));
generador.CalcularBiorritmo(_livingDaysFirstDayMonth, BiorytmDays.biorritmo_intelectual);
LineSeries Intelectual = new LineSeries();
foreach (var item in generador.Puntos)
{
Intelectual.Points.Add(new DataPoint(item.X, item.Y));
}
Intelectual.Title = "Intelectual";
Intelectual.Color = OxyColor.FromRgb(byte.Parse(r.Next(0, 255).ToString()), byte.Parse(r.Next(0, 255).ToString()), byte.Parse(r.Next(0, 255).ToString()));
generador.CalcularBiorritmo(_livingDaysFirstDayMonth, BiorytmDays.biorritmo_intuicional);
LineSeries Intuicional = new LineSeries();
foreach (var item in generador.Puntos)
{
Intuicional.Points.Add(new DataPoint(item.X, item.Y));
}
Intuicional.Title = "Intuicional";
Intuicional.Color = OxyColor.FromRgb(byte.Parse(r.Next(0, 255).ToString()), byte.Parse(r.Next(0, 255).ToString()), byte.Parse(r.Next(0, 255).ToString()));
LineSeries Cero = new LineSeries();
Cero.Points.Add(new DataPoint(0, 0));
Cero.Points.Add(new DataPoint(30, 0));
Cero.Color = OxyColor.FromRgb(0, 0, 0);
model.Series.Add(Fisico);
model.Series.Add(Emocional);
model.Series.Add(Intelectual);
model.Series.Add(Intuicional);
model.Series.Add(Cero);
asd.Model = model;
var fisic = DataCalc.CalculateBiorritm(Convert.ToInt32(_livingDays), BiorytmDays.biorritmo_fisico);
var emotional = DataCalc.CalculateBiorritm(Convert.ToInt32(_livingDays), BiorytmDays.biorritmo_emocional);
var intelectual = DataCalc.CalculateBiorritm(Convert.ToInt32(_livingDays), BiorytmDays.biorritmo_intelectual);
var intuitional = DataCalc.CalculateBiorritm(Convert.ToInt32(_livingDays), BiorytmDays.biorritmo_intuicional);
lblFisicBiorytm.Content = "Fisico: " + fisic[1];
lblEmotionalBiorytm.Content = "Emocional: " + emotional[1];
lblIntelectualBiorytm.Content = "Intelectual: " + intelectual[1];
lblIntuitionalBiorytm.Content = "Intuicional: " + intuitional[1];
if (AccidentAlgorytm.calculateCritics(fisic) == null)
{
lblFisicCritic.Content = "Fisico: OK...";
}
else
{
lblFisicCritic.Content = "Fisico: CRITICO";
lblFisicCritic.Foreground = new SolidColorBrush(Colors.Red);
}
if (AccidentAlgorytm.calculateCritics(emotional) == null)
{
lblEmotionalCritic.Content = "Emocional: OK...";
}
else
{
lblEmotionalCritic.Content = "Emocional: CRITICO";
lblEmotionalCritic.Foreground = new SolidColorBrush(Colors.Red);
}
if (AccidentAlgorytm.calculateCritics(intelectual) == null)
{
lblIntelectualCritic.Content = "Intelectual: OK...";
}
else
{
lblIntelectualCritic.Content = "Intelectual: CRITICO";
lblIntelectualCritic.Foreground = new SolidColorBrush(Colors.Red);
}
if (AccidentAlgorytm.calculateCritics(intuitional) == null)
{
lblIntuitionalCritic.Content = "Intuicional: OK...";
}
else
{
lblIntuitionalCritic.Content = "Intuicional: CRITICO";
lblIntuitionalCritic.Foreground = new SolidColorBrush(Colors.Red);
}
}
private void MakeBarCharts([JetBrains.Annotations.NotNull] ResultFileEntry rfe, [JetBrains.Annotations.NotNull] string plotName, [JetBrains.Annotations.NotNull] DirectoryInfo basisPath,
[JetBrains.Annotations.NotNull] Dictionary <string, List <TagEntry> > consumption)
{
Profiler.StartPart(Utili.GetCurrentMethodAndClass());
foreach (var pair in consumption)
{
var hasReferenceValue = pair.Value.Any(x => x.ReferenceValues.Count > 0);
if (!hasReferenceValue)
{
continue;
}
var plotModel1 = new PlotModel();
pair.Value.Sort((x, y) => x.Value.CompareTo(y.Value));
plotModel1.LegendBorderThickness = 0;
plotModel1.LegendOrientation = LegendOrientation.Horizontal;
plotModel1.LegendPlacement = LegendPlacement.Outside;
plotModel1.LegendPosition = LegendPosition.BottomCenter;
var labelFontSize = 12;
if (Config.MakePDFCharts)
{
plotModel1.DefaultFontSize = Parameters.PDFFontSize;
plotModel1.LegendFontSize = Parameters.PDFFontSize;
labelFontSize = 16;
}
plotModel1.LegendSymbolMargin = 20;
if (Parameters.ShowTitle)
{
plotModel1.Title = plotName;
}
var categoryAxis1 = new CategoryAxis
{
MinorStep = 1,
Minimum = -0.5
};
categoryAxis1.Labels.Add(ChartLocalizer.Get().GetTranslation("Simulated"));
var firstEntry = pair.Value[0];
var referenceCount = firstEntry.ReferenceHeaders.Count;
for (var i = 0; i < referenceCount; i++)
{
categoryAxis1.Labels.Add(ChartLocalizer.Get().GetTranslation(firstEntry.ReferenceHeaders[i]));
}
categoryAxis1.GapWidth = 1;
categoryAxis1.MaximumPadding = 0.02;
categoryAxis1.Position = AxisPosition.Left;
plotModel1.Axes.Add(categoryAxis1);
var sum1 = pair.Value.Select(x => x.Value).Sum();
var sums = new List <double>();
foreach (var entry in pair.Value)
{
for (var i = 0; i < entry.ReferenceValues.Count; i++)
{
if (sums.Count < i + 1)
{
sums.Add(0);
}
sums[i] += entry.ReferenceValues[i];
}
}
var sum2 = sums.Max();
var totalSum = Math.Max(sum1, sum2);
string s2 = rfe.LoadTypeInformation?.Name ?? "";
var linearAxis1 = new LinearAxis
{
AbsoluteMinimum = 0,
MaximumPadding = 0.02,
MinimumPadding = 0,
MajorStep = totalSum / 5,
MinorTickSize = 0,
Position = AxisPosition.Bottom,
Title = ChartLocalizer.Get().GetTranslation(s2) + " in " + rfe.LoadTypeInformation?.UnitOfSum +
string.Empty
};
plotModel1.Axes.Add(linearAxis1);
OxyPalette p;
if (pair.Value.Count > 1)
{
p = OxyPalettes.HueDistinct(pair.Value.Count);
}
else
{
p = OxyPalettes.Hue64;
}
var colSums = new Dictionary <int, double>
{
{ 0, 0 },
{ 1, 0 }
};
var count = 0;
foreach (var tagentry in pair.Value)
{
var columnSeries2 = new BarSeries
{
FillColor = p.Colors[count]
};
count++;
columnSeries2.IsStacked = true;
columnSeries2.StackGroup = "1";
columnSeries2.StrokeThickness = 1;
columnSeries2.StrokeColor = OxyColor.FromArgb(255, 255, 255, 255);
columnSeries2.StrokeThickness = 0.1;
columnSeries2.Title = ChartLocalizer.Get().GetTranslation(tagentry.TagName);
columnSeries2.LabelPlacement = LabelPlacement.Middle;
var coli = new BarItem(tagentry.Value);
columnSeries2.Items.Add(coli);
foreach (var referenceValue in tagentry.ReferenceValues)
{
var coli2 = new BarItem(referenceValue);
columnSeries2.Items.Add(coli2);
}
var col = 0;
if (tagentry.Value / sum1 > 0.2)
{
var d = tagentry.Value;
var valuetext = d.ToString("N0", CultureInfo.CurrentCulture) + " " + rfe.LoadTypeInformation?.UnitOfSum + " (" +
(d / sum1 * 100).ToString("N1", CultureInfo.CurrentCulture) + " %)";
SetRectangelAnnotation(col, colSums, plotModel1, valuetext, d, 0.25, 0.35, labelFontSize);
var shortendName = ChartLocalizer.Get().GetTranslation(tagentry.TagName).Trim();
if (shortendName.Length > 20)
{
shortendName = shortendName.Substring(0, 17) + "...";
}
SetRectangelAnnotation(col, colSums, plotModel1, shortendName, d, 0.35, 0.45, labelFontSize);
}
col++;
double refValue = 0;
if (tagentry.ReferenceValues.Count > 0)
{
refValue = tagentry.ReferenceValues[0];
}
if (refValue / sum2 > 0.15)
{
var valueText = refValue.ToString("N0", CultureInfo.CurrentCulture) + " " + rfe.LoadTypeInformation?.UnitOfSum +
" (" + (refValue / sum2 * 100).ToString("N1", CultureInfo.CurrentCulture) +
" %)";
SetRectangelAnnotation(col, colSums, plotModel1, valueText, refValue, 0.25, 0.35,
labelFontSize);
var labelText = ChartLocalizer.Get().GetTranslation(tagentry.TagName);
SetRectangelAnnotation(col, colSums, plotModel1, labelText, refValue, 0.35, 0.45,
labelFontSize);
}
colSums[0] += tagentry.Value;
if (tagentry.ReferenceValues.Count > 0)
{
colSums[1] += tagentry.ReferenceValues[0];
}
plotModel1.Series.Add(columnSeries2);
}
var fi = new FileInfo(rfe.FullFileName);
var modifiedName = fi.Name.Substring(0, fi.Name.Length - 3) + AutomationUtili.CleanFileName(pair.Key) +
".bars";
if (fi.DirectoryName == null)
{
throw new LPGException("File was not assigned to a directory");
}
var cleanedfullname = Path.Combine(fi.DirectoryName, modifiedName);
Save(plotModel1, plotName, cleanedfullname, basisPath, CalcOption.HouseholdContents);
}
Profiler.StopPart(Utili.GetCurrentMethodAndClass());
}
/// <summary>
/// Initializes a new instance of the <see cref="XicPlotViewModel"/> class.
/// </summary>
/// <param name="dialogService">Dialog service </param>
/// <param name="fragSeqVm">The view model for the fragmentation sequence (fragment ion generator)</param>
/// <param name="lcms">LCMS run data set for this XIC plot. </param>
/// <param name="title">Title of XIC plot </param>
/// <param name="xaxis">XAxis for XIC plot. </param>
/// <param name="showLegend">Should a legend be shown on the plot by default? </param>
/// <param name="vertAxes">Y axis position</param>
public XicPlotViewModel(IDialogService dialogService, IFragmentationSequenceViewModel fragSeqVm, ILcMsRun lcms, string title, LinearAxis xaxis, bool showLegend = true, AxisPosition vertAxes = AxisPosition.Left)
{
this.dialogService = dialogService;
FragmentationSequenceViewModel = fragSeqVm;
this.lcms = lcms;
this.showLegend = showLegend;
this.xaxis = xaxis;
pointsToSmooth = IcParameters.Instance.PointsToSmooth;
PlotTitle = title;
PlotModel = new SelectablePlotModel(xaxis, 1.05)
{
YAxis =
{
Title = "Intensity",
StringFormat = "0e0",
Position = vertAxes
}
};
ions = new LabeledIonViewModel[0];
RetentionTimeSelectedCommand = ReactiveCommand.Create(() =>
{
if (PlotModel.SelectedDataPoint is XicDataPoint dp)
{
SelectedScan = dp.ScanNum;
}
});
SaveAsImageCommand = ReactiveCommand.Create(SaveAsImage);
// When ShowLegend is updated, IsLegendVisible on the plot should be updated
this.WhenAnyValue(x => x.ShowLegend).Subscribe(v =>
{
PlotModel.IsLegendVisible = v;
PlotModel.InvalidatePlot(true);
});
// When area updates, plot title should update
this.WhenAnyValue(x => x.Area).Subscribe(area =>
{
var areaStr = string.Format(CultureInfo.InvariantCulture, "{0:0.##E0}", area);
PlotTitle = string.Format("{0} (Area: {1})", title, areaStr);
});
// Update area when x Axis is zoomed/panned
this.xaxis.AxisChanged += async(o, e) =>
{
Area = await GetCurrentAreaAsync();
};
// Update point marker when selected scan changes
this.WhenAnyValue(x => x.SelectedScan, x => x.IsPlotUpdating)
.Where(x => x.Item2)
.Throttle(TimeSpan.FromMilliseconds(50), RxApp.TaskpoolScheduler)
.Subscribe(x => PlotModel.SetPrimaryPointMarker(this.lcms.GetElutionTime(x.Item1)));
// When point markers are toggled, change the marker type on each series
this.WhenAnyValue(x => x.ShowPointMarkers)
.Select(showPointMarkers => showPointMarkers ? MarkerType.Circle : MarkerType.None)
.Subscribe(
markerType =>
{
foreach (var lineSeries in PlotModel.Series.OfType <LineSeries>())
{
lineSeries.MarkerType = markerType;
}
PlotModel.InvalidatePlot(true);
});
this.WhenAnyValue(
x => x.FragmentationSequenceViewModel.LabeledIonViewModels,
x => x.PointsToSmooth,
x => x.IsPlotUpdating)
.Where(x => x.Item3 && x.Item1 != null)
.SelectMany(async x => await GetXicDataPointsAsync(x.Item1, PointsToSmooth))
.Subscribe(xicPoints =>
{
ions = FragmentationSequenceViewModel.LabeledIonViewModels;
UpdatePlotModel(xicPoints);
});
// Update ions when relative intensity threshold changes.
IcParameters.Instance.WhenAnyValue(x => x.PrecursorRelativeIntensityThreshold).Subscribe(precRelInt =>
{
if (FragmentationSequenceViewModel is PrecursorSequenceIonViewModel precFragVm)
{
precFragVm.RelativeIntensityThreshold = precRelInt;
}
});
// Update plot when settings change
IcParameters.Instance.WhenAnyValue(x => x.ProductIonTolerancePpm)
.Where(_ => ions != null)
.Throttle(TimeSpan.FromMilliseconds(250), RxApp.TaskpoolScheduler)
.SelectMany(async x => await GetXicDataPointsAsync(ions, PointsToSmooth, false))
.Subscribe(UpdatePlotModel);
}
private void btnDrawGraph_Click(object sender, RoutedEventArgs e)
{
timerEmul.Stop();
if (IsEmul)
{
switch (cbSpeed.SelectedIndex)
{
case 0:
timerEmul.Interval = 1000 / 1.0;
break;
case 1:
timerEmul.Interval = 1000 / 2.0;
break;
case 2:
timerEmul.Interval = 1000 / 4.0;
break;
case 3:
timerEmul.Interval = 1000 / 8.0;
break;
case 4:
timerEmul.Interval = 1000 / 25.0;
break;
}
}
model = new PlotModel();
DateTimeAxis axisX = new DateTimeAxis()
{
Title = "Время",
Position = AxisPosition.Bottom,
StringFormat = "HH:mm:ss\ndd/MM/yy",
};
DateTime start = dtpStart.Value.Value;
DateTime finish = dtpFinish.Value.Value;
if (!IsEmul)
{
axisX.Minimum = start.ToOADate();
axisX.Maximum = finish.ToOADate();
}
axisX.MajorGridlineStyle = LineStyle.Solid;
axisX.MajorGridlineThickness = 1;
model.Axes.Add(axisX);
for (int i = 0; i < selectedParam.Count; i++)
{
LinearAxis axeY = new LinearAxis()
{
Title = selectedParam[i].Title + ", " + selectedParam[i].Unit,
Key = selectedParam[i].Title,
Position = AxisPosition.Left,
PositionTier = i,
};
if (i == 0)
{
axeY.AxisChanged += AxeY_AxisChanged;
axeY.MajorGridlineStyle = LineStyle.Solid;
axeY.MajorGridlineThickness = 1;
}
model.Axes.Add(axeY);
LineSeries series = new LineSeries()
{
Title = selectedParam[i].Title,
YAxisKey = selectedParam[i].Title
};
model.Series.Add(series);
int sample = Convert.ToInt32(cbSample.SelectionBoxItem);
if (!IsEmul)
{
for (int point = 0; point < selectedParam[i].Points.Count; point += sample)
{
if ((selectedParam[i].Points[point].X > start) && (selectedParam[i].Points[point].X < finish))
{
series.Points.Add(new DataPoint(DateTimeAxis.ToDouble(selectedParam[i].Points[point].X), selectedParam[i].Points[point].Y));
}
}
}
}
plotter.Model = model;
for (int i = 1; i < model.Axes.Count; i++)
{
if (model.Axes[i].ActualMaximum > Math.Abs(model.Axes[i].ActualMinimum))
{
model.Axes[i].Minimum = -1 * model.Axes[i].ActualMaximum;
selectedParam[i - 1].MinY = model.Axes[i].Minimum;
selectedParam[i - 1].MaxY = model.Axes[i].ActualMaximum;
}
else
{
model.Axes[i].Maximum = -1 * model.Axes[i].ActualMinimum;
selectedParam[i - 1].MinY = model.Axes[i].ActualMinimum;
selectedParam[i - 1].MaxY = model.Axes[i].Maximum;
}
}
if (IsEmul)
{
timerEmul.Start();
}
ContextMenu cm = new ContextMenu();
MenuItem reset = new MenuItem()
{
Header = "Масштаб по умолчанию"
};
reset.Click += Reset_Click;
cm.Items.Add(reset);
MenuItem setting = new MenuItem()
{
Header = "Настройки"
};
setting.Click += Setting_Click;
cm.Items.Add(setting);
MenuItem saveAsPic = new MenuItem()
{
Header = "Сохранить как картинку"
};
saveAsPic.Click += SaveAsPic_Click;
cm.Items.Add(saveAsPic);
MenuItem exportManyPic = new MenuItem()
{
Header = "Выгрузить несколько картинок"
};
exportManyPic.Click += ExportManyPic_Click;
cm.Items.Add(exportManyPic);
plotter.ContextMenu = cm;
InitGraphSetting();
}
public static PlotModel LineSeriesAndAreaSeries()
{
var plotModel1 = new PlotModel {
Title = "LineSeries and AreaSeries"
};
var linearAxis1 = new LinearAxis {
Position = 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);
}
private static PlotModel CreateSimpleModel(bool stacked, string title)
{
var model = new PlotModel
{
Title = title,
LegendPlacement = LegendPlacement.Outside,
LegendPosition = LegendPosition.BottomCenter,
LegendOrientation = LegendOrientation.Horizontal,
LegendBorderThickness = 0
};
var s1 = new TSeries {
Title = "Series 1", IsStacked = stacked, StrokeColor = OxyColors.Black, StrokeThickness = 1
};
s1.Items.Add(new TItem {
Value = 25
});
s1.Items.Add(new TItem {
Value = 137
});
s1.Items.Add(new TItem {
Value = 18
});
s1.Items.Add(new TItem {
Value = 40
});
var s2 = new TSeries {
Title = "Series 2", IsStacked = stacked, StrokeColor = OxyColors.Black, StrokeThickness = 1
};
s2.Items.Add(new TItem {
Value = 12
});
s2.Items.Add(new TItem {
Value = 14
});
s2.Items.Add(new TItem {
Value = 120
});
s2.Items.Add(new TItem {
Value = 26
});
var categoryAxis = new CategoryAxis {
Position = CategoryAxisPosition()
};
categoryAxis.Labels.Add("Category A");
categoryAxis.Labels.Add("Category B");
categoryAxis.Labels.Add("Category C");
categoryAxis.Labels.Add("Category D");
var valueAxis = new LinearAxis {
Position = ValueAxisPosition(), MinimumPadding = 0, MaximumPadding = 0.06, AbsoluteMinimum = 0
};
model.Series.Add(s1);
model.Series.Add(s2);
model.Axes.Add(categoryAxis);
model.Axes.Add(valueAxis);
return(model);
}
private void PrepareDiagram(out ColumnSeries accuracySeries, out ColumnSeries areaUnderCurveSeries, out ColumnSeries f1ScoreSeries, out ColumnSeries positiveRecallSeries)
{
var foreground = OxyColors.SteelBlue;
var plotModel = new PlotModel
{
Subtitle = "Model Comparison",
PlotAreaBorderThickness = new OxyThickness(1, 0, 0, 1),
PlotAreaBorderColor = foreground,
TextColor = foreground,
TitleColor = foreground,
SubtitleColor = foreground,
LegendPlacement = LegendPlacement.Outside,
LegendPosition = LegendPosition.TopCenter,
LegendOrientation = LegendOrientation.Horizontal
};
plotModel.Axes.Add(new CategoryAxis
{
Position = AxisPosition.Bottom,
Key = "ModelAxis",
ItemsSource = new[]
{
"Perceptron",
"Linear SVM",
"Logistic Regression",
"SDCA"
},
TextColor = foreground,
TicklineColor = foreground,
TitleColor = foreground
});
var linearAxis = new LinearAxis
{
Position = AxisPosition.Left,
TextColor = foreground,
TicklineColor = foreground,
TitleColor = foreground
};
plotModel.Axes.Add(linearAxis);
accuracySeries = new ColumnSeries
{
Title = "Accuracy",
LabelPlacement = LabelPlacement.Inside,
LabelFormatString = "{0:.00}",
FillColor = OxyColors.DarkOrange,
TextColor = OxyColors.Wheat
};
plotModel.Series.Add(accuracySeries);
areaUnderCurveSeries = new ColumnSeries
{
Title = "Area under ROC curve",
LabelPlacement = LabelPlacement.Inside,
LabelFormatString = "{0:.00}",
FillColor = OxyColors.Firebrick,
TextColor = OxyColors.Wheat
};
plotModel.Series.Add(areaUnderCurveSeries);
f1ScoreSeries = new ColumnSeries
{
Title = "F1 Score",
LabelPlacement = LabelPlacement.Inside,
LabelFormatString = "{0:.00}",
FillColor = OxyColors.MidnightBlue,
TextColor = OxyColors.Wheat
};
plotModel.Series.Add(f1ScoreSeries);
positiveRecallSeries = new ColumnSeries
{
Title = "Positive Recall",
LabelPlacement = LabelPlacement.Inside,
LabelFormatString = "{0:.00}",
FillColor = OxyColors.MediumSeaGreen,
TextColor = OxyColors.Wheat
};
plotModel.Series.Add(positiveRecallSeries);
Diagram.Model = plotModel;
}
/// <summary>
/// Creates the candle stick and volume series example.
/// </summary>
/// <returns>The candle stick and volume series example.</returns>
/// <param name="title">Title.</param>
/// <param name="style">Style.</param>
/// <param name="n">N.</param>
/// <param name="naturalY">If set to <c>true</c> natural y.</param>
/// <param name="naturalV">If set to <c>true</c> natural v.</param>
private static Example CreateCandleStickAndVolumeSeriesExample(
string title,
VolumeStyle style,
int n = 10000,
bool naturalY = false,
bool naturalV = false)
{
var pm = new PlotModel {
Title = title
};
var series = new CandleStickAndVolumeSeries
{
PositiveColor = OxyColors.DarkGreen,
NegativeColor = OxyColors.Red,
PositiveHollow = false,
NegativeHollow = false,
SeparatorColor = OxyColors.Gray,
SeparatorLineStyle = LineStyle.Dash,
VolumeStyle = style
};
// create bars
foreach (var bar in OhlcvItemGenerator.MRProcess(n))
{
series.Append(bar);
}
// create visible window
var Istart = n - 200;
var Iend = n - 120;
var Ymin = series.Items.Skip(Istart).Take(Iend - Istart + 1).Select(x => x.Low).Min();
var Ymax = series.Items.Skip(Istart).Take(Iend - Istart + 1).Select(x => x.High).Max();
var Xmin = series.Items[Istart].X;
var Xmax = series.Items[Iend].X;
// setup axes
var timeAxis = new DateTimeAxis
{
Position = AxisPosition.Bottom,
Minimum = Xmin,
Maximum = Xmax
};
var barAxis = new LinearAxis
{
Position = AxisPosition.Left,
Key = series.BarAxisKey,
StartPosition = 0.25,
EndPosition = 1.0,
Minimum = naturalY ? double.NaN : Ymin,
Maximum = naturalY ? double.NaN : Ymax
};
var volAxis = new LinearAxis
{
Position = AxisPosition.Left,
Key = series.VolumeAxisKey,
StartPosition = 0.0,
EndPosition = 0.22,
Minimum = naturalV ? double.NaN : 0,
Maximum = naturalV ? double.NaN : 5000
};
switch (style)
{
case VolumeStyle.None:
barAxis.Key = null;
barAxis.StartPosition = 0.0;
pm.Axes.Add(timeAxis);
pm.Axes.Add(barAxis);
break;
case VolumeStyle.Combined:
case VolumeStyle.Stacked:
pm.Axes.Add(timeAxis);
pm.Axes.Add(barAxis);
pm.Axes.Add(volAxis);
break;
case VolumeStyle.PositiveNegative:
volAxis.Minimum = naturalV ? double.NaN : -5000;
pm.Axes.Add(timeAxis);
pm.Axes.Add(barAxis);
pm.Axes.Add(volAxis);
break;
}
pm.Series.Add(series);
if (naturalY == false)
{
timeAxis.AxisChanged += (sender, e) => AdjustYExtent(series, timeAxis, barAxis);
}
var controller = new PlotController();
controller.UnbindAll();
controller.BindMouseDown(OxyMouseButton.Left, PlotCommands.PanAt);
return(new Example(pm, controller));
}
public void Draw()
{
this.plot.Clear();
Grid testGrid = new Grid();
testGrid.VerticalGridType = Grid.GridType.Coarse;
testGrid.HorizontalGridType = Grid.GridType.Coarse;
testGrid.MajorGridPen = new Pen(Color.LightGray, 1f);
this.plot.Add(testGrid);
xmax = ((long[])splits[winner]).Length / nsplits;
int tickstep = 1;
if (xmax <= 30)
{
tickstep = 1;
}
else
if (xmax > 30 && xmax <= 60)
{
tickstep = 2;
}
else
if (xmax > 60)
{
tickstep = 3;
}
LinearAxis lx1 = new LinearAxis();
/* if (tickstep > 1)
* lx1.NumberOfSmallTicks = 0;
* else
* lx1.NumberOfSmallTicks = nsplits -1;
*/
lx1.NumberOfSmallTicks = 0;
lx1.LargeTickStep = tickstep;
lx1.HideTickText = true;
lx1.WorldMin = 0;
lx1.WorldMax = xmax;
lx1.TicksCrossAxis = true;
this.plot.XAxis1 = lx1;
LinearAxis lx2 = new LinearAxis(this.plot.XAxis1);
lx2.Label = Settings.LapByLapGraphXAxisLabel;
lx2.NumberOfSmallTicks = 0;
lx2.LargeTickStep = tickstep;
lx2.WorldMin = 0;
lx2.WorldMax = xmax;
lx2.HideTickText = false;
lx2.LabelFont = Settings.commonFont;
this.plot.XAxis2 = lx2;
this.plot.XAxis1.LargeTickSize = 0;
LinearAxis ly1 = new LinearAxis();
ly1.Label = Settings.LapByLapGraphYAxisLabel;
ly1.NumberOfSmallTicks = 0;
ly1.Reversed = true;
ly1.LargeTickStep = 1;
ly1.WorldMin = 0.5f;
ly1.WorldMax = players.Count + 0.5f;
ly1.LabelFont = Settings.commonFont;
ly1.TicksCrossAxis = true;
this.plot.YAxis1 = ly1;
LinearAxis ly2 = new LinearAxis();
ly2.NumberOfSmallTicks = 0;
ly2.Reversed = true;
ly2.LargeTickStep = 1;
ly2.WorldMin = 0.5f;
ly2.WorldMax = players.Count + 0.5f;
ly2.LabelFont = Settings.commonFont;
ly2.TickTextNextToAxis = false;
ly2.Label = "";
ly2.TicksCrossAxis = true;
this.plot.YAxis2 = ly2;
this.plot.Title = Settings.LapByLapGraphTitle;
this.plot.TitleFont = Settings.titleFont;
Legend lg = new Legend();
lg.Font = Settings.commonFont;
lg.XOffset = 30;
lg.BorderStyle = Settings.legendBorderType;
this.plot.Legend = lg;
this.plot.PlotBackColor = Color.White;
this.plot.BackColor = Color.White;
// double minx = 0;
for (int i = 0; i < players.Count; ++i)
// for (int i=winner; i<= winner; ++i)
{
int[] positions = new int[((long[])splits[i]).Length];
double[] laps = new double[((long[])splits[i]).Length];
int splitN = 0;
int l = 0;
for (int split = 0; split < ((long[])splits[winner]).Length; ++split)
{
if (split < positions.Length)
{
double prop = 0;
for (int pr = 0; pr < splitN; ++pr)
{
prop += winner_avgsplitsproportions[pr + 1];
}
laps[split] = (double)l + prop;
}
int pos = 1;
for (int p = 0; p < players.Count; ++p)
{
if (p != i && ((long[])(splits[i])).Length > split && ((long[])(splits[p])).Length > split && ((long[])(splits[p]))[split] < ((long[])(splits[i]))[split])
{
++pos;
}
}
if (split < positions.Length)
{
positions[split] = pos;
}
++splitN;
if (splitN == nsplits)
{
splitN = 0;
++l;
}
}
LinePlot lp = new LinePlot();
// lp.DataSource = positions;
lp.AbscissaData = laps;
lp.OrdinateData = positions;
lp.Pen = new Pen(Colors.GetColor(i), 2.0f);
int start = i + 1;
int end = start;
if (positions.Length - 1 >= 0)
{
end = positions[positions.Length - 1];
}
if (Settings.LapByLapGraphDisplayPositions)
{
lp.Label = String.Format("{0:00}-{1:00} {2:g}", start, end, players[i].ToString());
}
else
{
lp.Label = String.Format("{0:g}", players[i].ToString());
}
this.plot.Add(lp);
this.plot.YAxis1.WorldMin = 0;
this.plot.YAxis2.WorldMin = 0;
/*
* Marker mk = new Marker();
* mk.Color = System.Drawing.Color.Red;
* // mk.Type = Marker.MarkerType.FlagUp;
* mk.Type = Marker.MarkerType.FlagUp;
* mk.Size = 15;
* int[] abs = {1,2,3,4,5,6,7,8,9,10};
* int[] ord = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };
* abs.Add
* PointPlot pp = new PointPlot(mk);
* pp.ShowInLegend = false;
* pp.AbscissaData = abs;
* pp.OrdinateData = ord;
* this.plot.Add(pp);
*/
this.plot.XAxis1.WorldMax = xmax;
this.plot.XAxis2.WorldMax = xmax;
}
this.plot.YAxis1.WorldMax = players.Count + 0.5f;
lx1.WorldMin = 0;
lx1.WorldMax = xmax;
lx2.WorldMin = 0;
lx2.WorldMax = xmax;
this.plot.Refresh();
}
/// <summary>
/// Adjusts the Y extent.
/// </summary>
/// <param name="series">Series.</param>
/// <param name="xaxis">Xaxis.</param>
/// <param name="yaxis">Yaxis.</param>
private static void AdjustYExtent(CandleStickAndVolumeSeries series, DateTimeAxis xaxis, LinearAxis yaxis)
{
var xmin = xaxis.ActualMinimum;
var xmax = xaxis.ActualMaximum;
var istart = series.FindByX(xmin);
var iend = series.FindByX(xmax, istart);
var ymin = double.MaxValue;
var ymax = double.MinValue;
for (int i = istart; i <= iend; i++)
{
var bar = series.Items[i];
ymin = Math.Min(ymin, bar.Low);
ymax = Math.Max(ymax, bar.High);
}
var extent = ymax - ymin;
var margin = extent * 0.10;
yaxis.Zoom(ymin - margin, ymax + margin);
}
async Task OnLoadGraphCommand(int?Month)
{
try
{
IsBusy = true;
Model.InvalidatePlot(true);
var linearAxis1 = new LinearAxis();
linearAxis1.AbsoluteMinimum = 0;
linearAxis1.AbsoluteMaximum = 50;
var barSeries = new ColumnSeries
{
LabelPlacement = LabelPlacement.Inside,
LabelFormatString = "{0}",
};
int?month = Month == 0 || Month == null ? 0 : Month;
if (month == 0)
{
month = 0;
}
var userId = Preferences.Get(AuthorizeConstants.UserIdKey, null);
var data = await _reservationServices.GraphMonthReservation(Convert.ToInt32(userId), (int)month, 1, 100);
if (data == null)
{
await Shell.Current.DisplayAlert("แจ้งเตือน!", "ไม่มีช้อมูลที่คุณเลือก", "ตกลง");
await Shell.Current.Navigation.PopAsync();
return;
}
int[] CountArrays = new int[32];
foreach (var item in data)
{
for (int i = 1; i <= 31; i++)
{
if (i == item.Days.Value)
{
CountArrays[item.Days.Value] = CountArrays[item.Days.Value] + 1;
}
else
{
CountArrays[item.Days.Value] = CountArrays[item.Days.Value] + 0;
}
}
}
var strings = Enumerable.Range(1, 31)
.Select(i => i.ToString()).ToArray();
for (int i = 2; i <= 32; i++)
{
barSeries.Items.Add(new ColumnItem
{
Value = Convert.ToDouble(CountArrays[i - 1]),
Color = OxyColor.FromRgb((byte)rnd.Next(256), (byte)rnd.Next(256), (byte)rnd.Next(256))
});
}
Model.Axes.Add(new CategoryAxis
{
Position = AxisPosition.Bottom,
Key = "Sample Data",
ItemsSource = strings,
IsPanEnabled = false,
IsZoomEnabled = false,
Selectable = false,
IntervalLength = 300,
});
Model.Axes.Add(linearAxis1);
Model.Series.Add(barSeries);
}
catch (Exception ex)
{
Debug.WriteLine(ex);
}
finally
{
IsBusy = false;
Model.InvalidatePlot(true);
}
}
/// <summary>
/// Initializes a new instance of the ErrorMapViewModel class.
/// </summary>
/// <param name="dialogService">
/// The dialog Service.
/// </param>
public ErrorMapViewModel(IDialogService dialogService)
{
this.dialogService = dialogService;
plotModel = new ViewResolvingPlotModel {
Title = "Error Map", PlotAreaBackground = OxyColors.DimGray
};
selectedPeakDataPoints = new IList <PeakDataPoint> [0];
minimumIonIntensity = 0;
ShouldCombineChargeStates = true;
TableShouldIncludeUnmatched = false;
// Init x axis
xAxis = new LinearAxis
{
Title = "Amino Acid",
Position = AxisPosition.Top,
AbsoluteMinimum = 0,
Minimum = 0,
MajorTickSize = 0,
MinorStep = 2,
Angle = -90,
MinorTickSize = 10,
MaximumPadding = 0,
FontSize = 10
};
plotModel.Axes.Add(xAxis);
// Init Y axis
yAxis = new LinearAxis
{
Title = "Ion Type",
Position = AxisPosition.Left,
AbsoluteMinimum = 0,
Minimum = 0,
MajorStep = 1.0,
MajorTickSize = 0,
MinorStep = 0.5,
MinorTickSize = 20,
MaximumPadding = 0,
FontSize = 10
};
plotModel.Axes.Add(yAxis);
// Init Color axis
var minColor = OxyColors.Navy;
var medColor = OxyColors.White;
var maxColor = OxyColors.DarkRed;
colorAxis = new LinearColorAxis
{
Title = "Error",
Position = AxisPosition.Right,
AxisDistance = -0.5,
AbsoluteMinimum = 0,
Palette = OxyPalette.Interpolate(1000, minColor, medColor, maxColor),
Minimum = -1 * IcParameters.Instance.ProductIonTolerancePpm.GetValue(),
Maximum = IcParameters.Instance.ProductIonTolerancePpm.GetValue(),
AbsoluteMaximum = IcParameters.Instance.ProductIonTolerancePpm.GetValue(),
LowColor = OxyColors.DimGray,
};
plotModel.Axes.Add(colorAxis);
this.WhenAnyValue(x => x.ShouldCombineChargeStates).Subscribe(_ => UpdateNow());
this.WhenAnyValue(x => x.TableShouldIncludeUnmatched).Subscribe(_ => UpdateNow());
// Save As Image Command requests a file path from the user and then saves the error map as an image
SaveAsImageCommand = ReactiveCommand.Create(SaveAsImageImpl);
SaveDataTableCommand = ReactiveCommand.Create(SaveDataTableImpl);
UpdateNowCommand = ReactiveCommand.Create(UpdateNow);
ZoomOutCommand = ReactiveCommand.Create(ZoomOutPlot);
}
public AnalysisViewModel()
{
this.plotModelGood = new PlotModel {
Title = "A"
}; //良かったこと
var xaxis = new CategoryAxis();
xaxis.Position = AxisPosition.Bottom;
xaxis.MajorGridlineStyle = LineStyle.Solid;
xaxis.MinorGridlineStyle = LineStyle.Dot;
xaxis.Labels.Add("10/06");
xaxis.Labels.Add("10/07");
xaxis.Labels.Add("10/08");
xaxis.Labels.Add("10/09");
xaxis.Labels.Add("10/10");
xaxis.Labels.Add("10/11");
xaxis.Labels.Add("10/12");
xaxis.FontSize = 8.0;
var yaxis = new LinearAxis();
yaxis.Position = AxisPosition.Left;
yaxis.MajorGridlineStyle = LineStyle.Dot;
yaxis.MinorGridlineStyle = LineStyle.Dot;
yaxis.FontSize = 8.0;
var columnSeriesGood = new ColumnSeries();
columnSeriesGood.Items.Add(new ColumnItem(5));
columnSeriesGood.Items.Add(new ColumnItem(8));
columnSeriesGood.Items.Add(new ColumnItem(2));
columnSeriesGood.Items.Add(new ColumnItem(12));
columnSeriesGood.Items.Add(new ColumnItem(4));
columnSeriesGood.Items.Add(new ColumnItem(1));
columnSeriesGood.Items.Add(new ColumnItem(9));
plotModelGood.Axes.Add(xaxis);
plotModelGood.Axes.Add(yaxis);
plotModelGood.Series.Add(columnSeriesGood);
plotModel = new PlotModel {
Title = "B"
}; //気分
var xaxisLine = new CategoryAxis();
xaxisLine.Position = AxisPosition.Bottom;
xaxisLine.MajorGridlineStyle = LineStyle.Solid;
xaxisLine.MinorGridlineStyle = LineStyle.Dot;
xaxisLine.Labels.Add("10/06");
xaxisLine.Labels.Add("10/07");
xaxisLine.Labels.Add("10/08");
xaxisLine.Labels.Add("10/09");
xaxisLine.Labels.Add("10/10");
xaxisLine.Labels.Add("10/11");
xaxisLine.Labels.Add("10/12");
xaxisLine.FontSize = 8.0;
var yaxisLine = new LinearAxis();
yaxisLine.Position = AxisPosition.Left;
yaxisLine.MajorGridlineStyle = LineStyle.Dot;
yaxisLine.MinorGridlineStyle = LineStyle.Dot;
yaxisLine.FontSize = 8.0;
plotModel.Axes.Add(xaxisLine);
plotModel.Axes.Add(yaxisLine);
plotModel.Series.Add(new LineSeries
{
Points =
{
new DataPoint(0, 2.5),
new DataPoint(1, 3.0),
new DataPoint(2, 4.8),
new DataPoint(3, 2.2),
new DataPoint(4, 3.4),
new DataPoint(5, 5.0),
new DataPoint(6, 1.2),
}
});
plotModelComposite = new PlotModel {
Title = "C"
}; // 複合
var xaxisComposite = new CategoryAxis();
xaxisComposite.Position = AxisPosition.Bottom;
xaxisComposite.MajorGridlineStyle = LineStyle.Solid;
xaxisComposite.MinorGridlineStyle = LineStyle.Dot;
xaxisComposite.Labels.Add("10/06");
xaxisComposite.Labels.Add("10/07");
xaxisComposite.Labels.Add("10/08");
xaxisComposite.Labels.Add("10/09");
xaxisComposite.Labels.Add("10/10");
xaxisComposite.Labels.Add("10/11");
xaxisComposite.Labels.Add("10/12");
xaxisComposite.FontSize = 8.0;
var yaxisComposite1 = new LinearAxis();
yaxisComposite1.Position = AxisPosition.Left;
yaxisComposite1.MajorGridlineStyle = LineStyle.None;
yaxisComposite1.MinorGridlineStyle = LineStyle.None;
yaxisComposite1.Key = "1";
yaxisComposite1.FontSize = 8.0;
var yaxisComposite2 = new LinearAxis();
yaxisComposite2.Position = AxisPosition.Right;
yaxisComposite2.Maximum = 5;
yaxisComposite2.Minimum = 0;
yaxisComposite2.MajorGridlineStyle = LineStyle.None;
yaxisComposite2.MinorGridlineStyle = LineStyle.None;
yaxisComposite2.Key = "2";
yaxisComposite2.FontSize = 8.0;
var columnSeriesComposite = new ColumnSeries();
columnSeriesComposite.Items.Add(new ColumnItem(5));
columnSeriesComposite.Items.Add(new ColumnItem(8));
columnSeriesComposite.Items.Add(new ColumnItem(2));
columnSeriesComposite.Items.Add(new ColumnItem(12));
columnSeriesComposite.Items.Add(new ColumnItem(4));
columnSeriesComposite.Items.Add(new ColumnItem(1));
columnSeriesComposite.Items.Add(new ColumnItem(9));
plotModelComposite.Axes.Add(xaxisComposite);
plotModelComposite.Axes.Add(yaxisComposite1);
plotModelComposite.Axes.Add(yaxisComposite2);
columnSeriesComposite.YAxisKey = "1";
plotModelComposite.Series.Add(columnSeriesComposite);
plotModelComposite.Series.Add(new LineSeries
{
Points =
{
new DataPoint(0, 2.5),
new DataPoint(1, 3.0),
new DataPoint(2, 4.8),
new DataPoint(3, 2.2),
new DataPoint(4, 3.4),
new DataPoint(5, 5.0),
new DataPoint(6, 1.2),
},
YAxisKey = "2"
});
}
public void Show(IBlockTimestampInterpolator blockTimestampInterpolator, string[] names, BlockGraphItem <int>[][] array)
{
Contract.Requires(names.Length == array.Length);
lock (_plotModel.SyncRoot)
{
ConfigureAxes(blockTimestampInterpolator, array);
_plotModel.Series.Clear();
const double GapSize = 0.05;
int AxisCount = names.Length;
double size = (1 - GapSize * (AxisCount - 1)) / AxisCount;
double start = 0;
for (int axisCounter = 0; axisCounter < names.Length; axisCounter++)
{
var data = array[axisCounter];
var yAxisKey = Guid.NewGuid().ToString();
var yAxis = new LinearAxis()
{
Position = AxisPosition.Left,
Key = yAxisKey,
StartPosition = start,
EndPosition = start + size,
Title = names[axisCounter]
};
start += size + GapSize;
_plotModel.Axes.Add(yAxis);
var series = new LineSeries()
{
CanTrackerInterpolatePoints = false,
YAxisKey = yAxisKey
};
_plotModel.Series.Add(series);
ref var lastPoint = ref data[0];
series.Points.Add(new DataPoint(
TimeSpanAxis.ToDouble(blockTimestampInterpolator.GetBlockTimestamp(lastPoint.BlockNumber)),
lastPoint.Data));
int maxVotes = lastPoint.Data;
for (int i = 1; i < data.Length; i++)
{
ref var currentPoint = ref data[i];
for (int point = lastPoint.BlockNumber + 1; point < currentPoint.BlockNumber; point++)
{
var xPoint = TimeSpanAxis.ToDouble(blockTimestampInterpolator.GetBlockTimestamp(point));
series.Points.Add(new DataPoint(xPoint, 0));
}
if (currentPoint.Data > maxVotes)
{
maxVotes = currentPoint.Data;
}
series.Points.Add(new DataPoint(TimeSpanAxis.ToDouble(blockTimestampInterpolator.GetBlockTimestamp(currentPoint.BlockNumber)), currentPoint.Data));
lastPoint = currentPoint;
}
yAxis.SetAxisMin(0);
yAxis.SetAxisMax(maxVotes);
}
public StrokeNumberSection(PlotStyle plotStyle, int strokeNumber, IDictionary <string, List <Models.Rally> > sets, Models.Match match, object p)
{
NumberPlots = new List <PlotModel>();
foreach (var set in sets.Keys)
{
if (sets[set].Count > 0)
{
var statistics = new TechniqueStatistics(match, p, sets[set], strokeNumber);
PlotModel plot = plotStyle.CreatePlot();
plot.Title = GetSetTitleString(set);
plot.TitleFontSize = 16;
plot.LegendOrientation = LegendOrientation.Horizontal;
plot.LegendPlacement = LegendPlacement.Outside;
plot.LegendPosition = LegendPosition.BottomCenter;
plot.PlotAreaBorderThickness = new OxyThickness(1, 0, 0, 1);
var categoryAxis = new CategoryAxis();
categoryAxis.Position = AxisPosition.Bottom;
categoryAxis.MinorStep = 1;
var linearAxis = new LinearAxis();
linearAxis.Position = AxisPosition.Left;
linearAxis.MinorStep = 1;
linearAxis.MajorStep = 4;
linearAxis.AbsoluteMinimum = 0;
linearAxis.MaximumPadding = 0.06;
linearAxis.MinimumPadding = 0;
var techniqueToSeries = new Dictionary <string, ColumnSeries>();
int index = 0;
foreach (var number in statistics.NumberToTechniqueCountDict.Keys)
{
var numberCount = 0;
foreach (var count in statistics.NumberToTechniqueCountDict[number].Values)
{
numberCount += count;
}
if (numberCount > 0)
{
categoryAxis.Labels.Add(string.Format("{0} ({1})", number, numberCount));
foreach (var technique in statistics.NumberToTechniqueCountDict[number].Keys)
{
var techniqueCount = statistics.NumberToTechniqueCountDict[number][technique];
if (techniqueCount > 0)
{
ColumnSeries series;
if (techniqueToSeries.ContainsKey(technique))
{
series = techniqueToSeries[technique];
}
else
{
series = GetNewSeries(technique);
techniqueToSeries[technique] = series;
}
series.Items.Add(new ColumnItem(techniqueCount, categoryIndex: index));
}
}
index++;
}
}
foreach (var series in techniqueToSeries.Values)
{
plot.Series.Add(series);
}
plot.Axes.Add(categoryAxis);
plot.Axes.Add(linearAxis);
NumberPlots.Add(plot);
Debug.WriteLine("{2} for stroke {0} of set {1} ready.", GetStrokeNumberString(strokeNumber), set, SectionName);
}
}
}
// [ref] ${OxyPlot_HOME}/NET45/Examples/ExampleBrowser/ExampleBrowser.exe.
static void runMarketTypes()
{
var plotModel = new PlotModel();
plotModel.Title = "Marker types";
var linearAxis1 = new LinearAxis();
linearAxis1.Position = AxisPosition.Bottom;
plotModel.Axes.Add(linearAxis1);
var linearAxis2 = new LinearAxis();
plotModel.Axes.Add(linearAxis2);
var lineSeries1 = new LineSeries();
lineSeries1.MarkerStroke = OxyColors.Black;
lineSeries1.MarkerType = MarkerType.Circle;
lineSeries1.Title = "Circle";
lineSeries1.Points.Add(new DataPoint(11.8621869598805, 1.4144100893356));
lineSeries1.Points.Add(new DataPoint(18.1636718735861, 3.34725344383496));
lineSeries1.Points.Add(new DataPoint(26.1161091961507, 5.10126935043431));
lineSeries1.Points.Add(new DataPoint(29.99451482482, 6.99704349646207));
lineSeries1.Points.Add(new DataPoint(41.9055463103138, 8.21414295500803));
lineSeries1.Points.Add(new DataPoint(48.6674896314123, 9.55912132400978));
lineSeries1.Points.Add(new DataPoint(56.0143694207139, 10.8773872386093));
lineSeries1.Points.Add(new DataPoint(67.4011132397694, 12.2735980540857));
lineSeries1.Points.Add(new DataPoint(74.2207925069243, 13.5990719658318));
lineSeries1.Points.Add(new DataPoint(78.4307891402537, 14.9570749639334));
plotModel.Series.Add(lineSeries1);
var lineSeries2 = new LineSeries();
lineSeries2.MarkerStroke = OxyColors.Black;
lineSeries2.MarkerType = MarkerType.Cross;
lineSeries2.Title = "Cross";
lineSeries2.Points.Add(new DataPoint(10.2551460425626, 1.12034707615168));
lineSeries2.Points.Add(new DataPoint(17.2749783542356, 2.66979351810636));
lineSeries2.Points.Add(new DataPoint(21.436097549012, 4.12809186853845));
lineSeries2.Points.Add(new DataPoint(30.78668166268, 5.20108992848596));
lineSeries2.Points.Add(new DataPoint(33.2050538869598, 6.637421580794));
lineSeries2.Points.Add(new DataPoint(45.0304378052384, 7.66540479830718));
lineSeries2.Points.Add(new DataPoint(56.7345610422709, 9.54063240976102));
lineSeries2.Points.Add(new DataPoint(66.1928816270981, 10.7854569441571));
lineSeries2.Points.Add(new DataPoint(74.2900140398601, 12.665478166037));
lineSeries2.Points.Add(new DataPoint(79.0780252865879, 13.7934278663217));
plotModel.Series.Add(lineSeries2);
var lineSeries3 = new LineSeries();
lineSeries3.MarkerStroke = OxyColors.Black;
lineSeries3.MarkerType = MarkerType.Diamond;
lineSeries3.Title = "Diamond";
lineSeries3.Points.Add(new DataPoint(8.23705901030314, 1.04818704773122));
lineSeries3.Points.Add(new DataPoint(15.3159614062477, 2.61679908755086));
lineSeries3.Points.Add(new DataPoint(26.0893045543178, 3.88729132986036));
lineSeries3.Points.Add(new DataPoint(30.3871664714008, 5.60047892089955));
lineSeries3.Points.Add(new DataPoint(42.2880761336014, 6.83121995620021));
lineSeries3.Points.Add(new DataPoint(45.5782417531955, 8.70534298555243));
lineSeries3.Points.Add(new DataPoint(53.6039859063942, 9.76094881480604));
lineSeries3.Points.Add(new DataPoint(63.170427156226, 11.6268204346424));
lineSeries3.Points.Add(new DataPoint(74.2946957379089, 13.5075224840583));
lineSeries3.Points.Add(new DataPoint(83.4620100881262, 14.6444678658827));
plotModel.Series.Add(lineSeries3);
var lineSeries4 = new LineSeries();
lineSeries4.MarkerStroke = OxyColors.Black;
lineSeries4.MarkerType = MarkerType.Plus;
lineSeries4.Title = "Plus";
lineSeries4.Points.Add(new DataPoint(2.18957495232559, 1.11484250291942));
lineSeries4.Points.Add(new DataPoint(12.7289441883233, 2.66961399916076));
lineSeries4.Points.Add(new DataPoint(17.0745548555043, 4.11782511375743));
lineSeries4.Points.Add(new DataPoint(22.8202153084894, 5.77728548123375));
lineSeries4.Points.Add(new DataPoint(30.5445538696575, 7.4711353287432));
lineSeries4.Points.Add(new DataPoint(40.409529611659, 9.07308203357881));
lineSeries4.Points.Add(new DataPoint(42.8762574823928, 10.166131996627));
lineSeries4.Points.Add(new DataPoint(52.219228453105, 11.9434595531521));
lineSeries4.Points.Add(new DataPoint(60.3437968186772, 13.8768307444997));
lineSeries4.Points.Add(new DataPoint(69.0649180901539, 15.8224504216679));
plotModel.Series.Add(lineSeries4);
var lineSeries5 = new LineSeries();
lineSeries5.MarkerStroke = OxyColors.Black;
lineSeries5.MarkerType = MarkerType.Square;
lineSeries5.Title = "Square";
lineSeries5.Points.Add(new DataPoint(4.28512158723787, 1.0218708203276));
lineSeries5.Points.Add(new DataPoint(7.11419252451239, 2.83296700745493));
lineSeries5.Points.Add(new DataPoint(12.1873434279986, 3.94138236993057));
lineSeries5.Points.Add(new DataPoint(18.4414314499318, 5.85618886438021));
lineSeries5.Points.Add(new DataPoint(21.6272663146384, 7.73614930302657));
lineSeries5.Points.Add(new DataPoint(26.9512430769164, 9.46516049488688));
lineSeries5.Points.Add(new DataPoint(30.584140945498, 10.6070162377353));
lineSeries5.Points.Add(new DataPoint(33.6740629960196, 12.1158796358462));
lineSeries5.Points.Add(new DataPoint(37.6165642373341, 14.0689983791993));
lineSeries5.Points.Add(new DataPoint(42.9570739683495, 15.4981215794096));
plotModel.Series.Add(lineSeries5);
var lineSeries6 = new LineSeries();
lineSeries6.MarkerStroke = OxyColors.Black;
lineSeries6.MarkerType = MarkerType.Star;
lineSeries6.Title = "Star";
lineSeries6.Points.Add(new DataPoint(10.9592619701099, 1.57032582423199));
lineSeries6.Points.Add(new DataPoint(14.3667993193338, 2.86656694294259));
lineSeries6.Points.Add(new DataPoint(20.8092339303387, 4.3936368000664));
lineSeries6.Points.Add(new DataPoint(31.0837363531272, 5.90316125233805));
lineSeries6.Points.Add(new DataPoint(36.2968236749511, 7.88247782079618));
lineSeries6.Points.Add(new DataPoint(40.8309715077425, 9.86153348761682));
lineSeries6.Points.Add(new DataPoint(44.9168707304247, 11.6326452454704));
lineSeries6.Points.Add(new DataPoint(56.0012029614305, 13.6297319203754));
lineSeries6.Points.Add(new DataPoint(58.3205570533502, 14.6725726568478));
lineSeries6.Points.Add(new DataPoint(62.7951211122773, 15.7987183610903));
plotModel.Series.Add(lineSeries6);
var lineSeries7 = new LineSeries();
lineSeries7.MarkerStroke = OxyColors.Black;
lineSeries7.MarkerType = MarkerType.Triangle;
lineSeries7.Title = "Triangle";
lineSeries7.Points.Add(new DataPoint(2.2280231240336, 1.45975955084886));
lineSeries7.Points.Add(new DataPoint(9.6367919340901, 3.15223296831932));
lineSeries7.Points.Add(new DataPoint(15.2513136469067, 4.20971935065916));
lineSeries7.Points.Add(new DataPoint(21.6378828266812, 6.11453639488413));
lineSeries7.Points.Add(new DataPoint(33.4784604066417, 7.33997009384445));
lineSeries7.Points.Add(new DataPoint(41.3092347305777, 8.99930818704856));
lineSeries7.Points.Add(new DataPoint(49.3024369130388, 10.2422971139859));
lineSeries7.Points.Add(new DataPoint(51.7993717146103, 11.9004834484777));
lineSeries7.Points.Add(new DataPoint(62.6105425686625, 13.6871494234945));
lineSeries7.Points.Add(new DataPoint(68.2790698289308, 15.4673946567194));
plotModel.Series.Add(lineSeries7);
//
#if false
String output_filename = "../data/visualization/oxyplot/lineseries_marker_type.png";
using (var stream = File.Create(output_filename))
{
System.Windows.Threading.Dispatcher.CurrentDispatcher.Invoke(
System.Windows.Threading.DispatcherPriority.Normal,
new Action(
delegate
{
OxyPlot.Wpf.PngExporter.Export(plotModel, stream, 600, 400, OxyColors.White); // run-time error.
}
)
);
}
#elif true
String output_filename = "../data/visualization/oxyplot/lineseries_marker_type.pdf";
using (var stream = File.Create(output_filename))
{
PdfExporter.Export(plotModel, stream, 600, 400);
}
#elif true
// Copy to clipboard.
using (var stream = new MemoryStream())
{
OxyPlot.Wpf.PngExporter.Export(plotModel, stream, 600, 400, OxyColors.White); // run-time error.
}
#endif
}
private PlotModel CreatePlotModelChorale()
{
var plotModel = new PlotModel
{
Subtitle = $"Semanantic Link: {SemanticLinkCurrent.SemanticLinkId}, Direction: {Direction}"
};
var colorAxis = new LinearColorAxis
{
HighColor = OxyColors.Gray,
LowColor = OxyColors.Black,
Position = AxisPosition.Right
};
plotModel.Axes.Add(colorAxis);
var xAxis = new LinearAxis
{
Title = "Transit Time",
Unit = "s",
Position = AxisPosition.Bottom
};
plotModel.Axes.Add(xAxis);
var yAxis = new LinearAxis
{
Title = "Lost Energy",
Unit = "kWh"
};
plotModel.Axes.Add(yAxis);
var heatMapSeries = new HeatMapSeries
{
LabelFormatString = "0",
X0 = ChoraleModel.MinTransitTime,
X1 = ChoraleModel.MaxTransitTime,
Y0 = ChoraleModel.MinLostEnegry,
Y1 = ChoraleModel.MaxLostEnergy,
LabelFontSize = 0.2,
Data = ChoraleModel.Data
};
plotModel.Series.Add(heatMapSeries);
var scatterSeries = new ScatterSeries
{
MarkerFill = OxyColors.Black,
MarkerType = MarkerType.Circle,
MarkerSize = 30
};
var lostEnergy = Calculator.LostEnergyList.Sum();
var transitTime = (int)(Calculator.PositionCollection.Last().Timestamp -
Calculator.PositionCollection.First().Timestamp).TotalSeconds;
scatterSeries.Points.Add(new ScatterPoint(transitTime, lostEnergy)
{
Value = 0
});
plotModel.Series.Add(scatterSeries);
return(plotModel);
}
/// <summary>
/// Background process for performing coherence analysis
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void BW_CoherenceAnalysisEDF(object sender, DoWorkEventArgs e)
{
#region Plot Series 1 in Time Domain
// Get Series 1
float sample_period_1;
LineSeries series_1 = GetSeriesFromSignalName(out sample_period_1,
CoherenceEDFSelectedSignal1,
Utils.EpochtoDateTime(CoherenceEDFStartRecord ?? 1, LoadedEDFFile),
Utils.EpochtoDateTime(CoherenceEDFStartRecord ?? 1, LoadedEDFFile) + Utils.EpochPeriodtoTimeSpan(CoherenceEDFDuration ?? 1)
);
// Plot Series 1
{
PlotModel temp_SignalPlot = new PlotModel();
DateTimeAxis xAxis = new DateTimeAxis();
xAxis.Key = "DateTime";
xAxis.Minimum = DateTimeAxis.ToDouble(Utils.EpochtoDateTime(CoherenceEDFStartRecord ?? 1, LoadedEDFFile));
xAxis.Maximum = DateTimeAxis.ToDouble(Utils.EpochtoDateTime(CoherenceEDFStartRecord ?? 1, LoadedEDFFile) + Utils.EpochPeriodtoTimeSpan(CoherenceEDFDuration ?? 1));
temp_SignalPlot.Axes.Add(xAxis);
LinearAxis yAxis = new LinearAxis();
yAxis.MajorGridlineStyle = LineStyle.Solid;
yAxis.MinorGridlineStyle = LineStyle.Dot;
yAxis.Title = CoherenceEDFSelectedSignal1 + " (Time)";
yAxis.Key = CoherenceEDFSelectedSignal1 + " (Time)";
if (CoherenceUseConstantAxis)
{
yAxis.Maximum = Utils.GetMaxSignalValue(CoherenceEDFSelectedSignal1, false, LoadedEDFFile, sm);
yAxis.Minimum = Utils.GetMinSignalValue(CoherenceEDFSelectedSignal1, false, LoadedEDFFile, sm);
}
temp_SignalPlot.Axes.Add(yAxis);
series_1.YAxisKey = CoherenceEDFSelectedSignal1 + " (Time)";
series_1.XAxisKey = "DateTime";
temp_SignalPlot.Series.Add(series_1);
CoherenceSignalPlot1 = temp_SignalPlot;
}
#endregion
#region Plot Series 2 in Time Domain
// Get Series 2
float sample_period_2;
LineSeries series_2 = GetSeriesFromSignalName(out sample_period_2,
CoherenceEDFSelectedSignal2,
Utils.EpochtoDateTime(CoherenceEDFStartRecord ?? 1, LoadedEDFFile),
Utils.EpochtoDateTime(CoherenceEDFStartRecord ?? 1, LoadedEDFFile) + Utils.EpochPeriodtoTimeSpan(CoherenceEDFDuration ?? 1)
);
// Plot Series 2
{
PlotModel temp_SignalPlot = new PlotModel();
DateTimeAxis xAxis = new DateTimeAxis();
xAxis.Key = "DateTime";
xAxis.Minimum = DateTimeAxis.ToDouble(Utils.EpochtoDateTime(CoherenceEDFStartRecord ?? 1, LoadedEDFFile));
xAxis.Maximum = DateTimeAxis.ToDouble(Utils.EpochtoDateTime(CoherenceEDFStartRecord ?? 1, LoadedEDFFile) + Utils.EpochPeriodtoTimeSpan(CoherenceEDFDuration ?? 1));
temp_SignalPlot.Axes.Add(xAxis);
LinearAxis yAxis = new LinearAxis();
yAxis.MajorGridlineStyle = LineStyle.Solid;
yAxis.MinorGridlineStyle = LineStyle.Dot;
yAxis.Title = CoherenceEDFSelectedSignal2 + " (Time)";
yAxis.Key = CoherenceEDFSelectedSignal2 + " (Time)";
if (CoherenceUseConstantAxis)
{
yAxis.Maximum = Utils.GetMaxSignalValue(CoherenceEDFSelectedSignal2, false, LoadedEDFFile, sm);
yAxis.Minimum = Utils.GetMinSignalValue(CoherenceEDFSelectedSignal2, false, LoadedEDFFile, sm);
}
temp_SignalPlot.Axes.Add(yAxis);
series_2.YAxisKey = CoherenceEDFSelectedSignal2 + " (Time)";
series_2.XAxisKey = "DateTime";
temp_SignalPlot.Series.Add(series_2);
CoherenceSignalPlot2 = temp_SignalPlot;
}
#endregion
#region Plot Coherence
// Calculate Coherence
LineSeries coh = new LineSeries();
{
List <float> values1;
List <float> values2;
if (sample_period_1 == sample_period_2)
{
values1 = series_1.Points.Select(temp => (float)temp.Y).ToList();
values2 = series_2.Points.Select(temp => (float)temp.Y).ToList();
}
else
{
if (sample_period_1 < sample_period_2) // Upsample signal 2
{
values1 = series_1.Points.Select(temp => (float)temp.Y).ToList();
values2 = series_2.Points.Select(temp => (float)temp.Y).ToList();
values2 = Utils.MATLAB_Resample(values2.ToArray(), sample_period_2 / sample_period_1);
}
else // Upsample signal 1
{
values1 = series_1.Points.Select(temp => (float)temp.Y).ToList();
values2 = series_2.Points.Select(temp => (float)temp.Y).ToList();
values1 = Utils.MATLAB_Resample(values1.ToArray(), sample_period_1 / sample_period_2);
}
}
coh = Utils.MATLAB_Coherence(values1.ToArray(), values2.ToArray());
coh.YAxisKey = "Coherence";
coh.XAxisKey = "Normalized Frequency";
}
// Plot Coherence
{
PlotModel temp_plot = new PlotModel();
temp_plot.Series.Add(coh);
LinearAxis yAxis = new LinearAxis();
yAxis.MajorGridlineStyle = LineStyle.Solid;
yAxis.MinorGridlineStyle = LineStyle.Dot;
yAxis.Title = "Coherence";
yAxis.Key = "Coherence";
yAxis.Maximum = 1.25;
yAxis.Minimum = 0;
temp_plot.Axes.Add(yAxis);
LinearAxis xAxis = new LinearAxis();
xAxis.Position = AxisPosition.Bottom;
xAxis.Title = "Normalized Frequency";
xAxis.Key = "Normalized Frequency";
temp_plot.Axes.Add(xAxis);
CoherencePlot = temp_plot;
}
#endregion
}
private static PlotModel CreateModelWithNegativeValues(bool stacked, string title)
{
var model = new PlotModel
{
Title = title,
LegendPlacement = LegendPlacement.Outside,
LegendPosition = LegendPosition.BottomCenter,
LegendOrientation = LegendOrientation.Horizontal,
LegendBorderThickness = 0
};
var s1 = new TSeries {
Title = "Series 1", IsStacked = stacked, StrokeColor = OxyColors.Black, StrokeThickness = 1
};
s1.Items.Add(new TItem {
Value = 25
});
s1.Items.Add(new TItem {
Value = 137
});
s1.Items.Add(new TItem {
Value = 18
});
s1.Items.Add(new TItem {
Value = 40
});
var s2 = new TSeries {
Title = "Series 2", IsStacked = stacked, StrokeColor = OxyColors.Black, StrokeThickness = 1
};
s2.Items.Add(new TItem {
Value = -12
});
s2.Items.Add(new TItem {
Value = -14
});
s2.Items.Add(new TItem {
Value = -120
});
s2.Items.Add(new TItem {
Value = -26
});
var s3 = new TSeries {
Title = "Series 3", IsStacked = stacked, StrokeColor = OxyColors.Black, StrokeThickness = 1
};
s3.Items.Add(new TItem {
Value = 21
});
s3.Items.Add(new TItem {
Value = 8
});
s3.Items.Add(new TItem {
Value = 48
});
s3.Items.Add(new TItem {
Value = 3
});
var s4 = new TSeries {
Title = "Series 4", IsStacked = stacked, StrokeColor = OxyColors.Black, StrokeThickness = 1
};
s4.Items.Add(new TItem {
Value = -8
});
s4.Items.Add(new TItem {
Value = -21
});
s4.Items.Add(new TItem {
Value = -3
});
s4.Items.Add(new TItem {
Value = -48
});
var categoryAxis = new CategoryAxis {
Position = CategoryAxisPosition()
};
categoryAxis.Labels.Add("Category A");
categoryAxis.Labels.Add("Category B");
categoryAxis.Labels.Add("Category C");
categoryAxis.Labels.Add("Category D");
var valueAxis = new LinearAxis
{
Position = ValueAxisPosition(),
MinimumPadding = 0.06,
MaximumPadding = 0.06,
ExtraGridlines = new[] { 0.0 },
ExtraGridlineStyle = LineStyle.Solid,
ExtraGridlineColor = OxyColors.Black,
ExtraGridlineThickness = 1
};
model.Series.Add(s1);
model.Series.Add(s2);
model.Series.Add(s3);
model.Series.Add(s4);
model.Axes.Add(categoryAxis);
model.Axes.Add(valueAxis);
return(model);
}
private PlotModel CreatePlotModel()
{
timeAxis.Position = AxisPosition.Bottom;
timeAxis.MajorGridlineStyle = LineStyle.Solid;
timeAxis.MajorGridlineThickness = 1;
timeAxis.MajorGridlineColor = OxyColor.FromRgb(192, 192, 192);
timeAxis.MinorGridlineStyle = LineStyle.Solid;
timeAxis.MinorGridlineThickness = 1;
timeAxis.MinorGridlineColor = OxyColor.FromRgb(232, 232, 232);
timeAxis.StartPosition = 1;
timeAxis.EndPosition = 0;
timeAxis.MinimumPadding = 0;
timeAxis.MaximumPadding = 0;
timeAxis.AbsoluteMinimum = 0;
timeAxis.Minimum = 0;
timeAxis.AbsoluteMaximum = 24 * 60 * 60;
timeAxis.Zoom(
settings.GetValue("plotPanel.MinTimeSpan", 0.0f),
settings.GetValue("plotPanel.MaxTimeSpan", 10.0f * 60));
timeAxis.StringFormat = "h:mm";
var units = new Dictionary <SensorType, string>();
units.Add(SensorType.Voltage, "V");
units.Add(SensorType.Clock, "MHz");
units.Add(SensorType.Temperature, "°C");
units.Add(SensorType.Load, "%");
units.Add(SensorType.Fan, "RPM");
units.Add(SensorType.Flow, "L/h");
units.Add(SensorType.Control, "%");
units.Add(SensorType.Level, "%");
units.Add(SensorType.Factor, "1");
units.Add(SensorType.Power, "W");
units.Add(SensorType.Data, "GB");
foreach (SensorType type in Enum.GetValues(typeof(SensorType)))
{
var axis = new LinearAxis();
axis.Position = AxisPosition.Left;
axis.MajorGridlineStyle = LineStyle.Solid;
axis.MajorGridlineThickness = 1;
axis.MajorGridlineColor = timeAxis.MajorGridlineColor;
axis.MinorGridlineStyle = LineStyle.Solid;
axis.MinorGridlineThickness = 1;
axis.MinorGridlineColor = timeAxis.MinorGridlineColor;
axis.AxislineStyle = LineStyle.Solid;
axis.Title = type.ToString();
axis.Key = type.ToString();
axis.Zoom(
settings.GetValue("plotPanel.Min" + axis.Key, float.NaN),
settings.GetValue("plotPanel.Max" + axis.Key, float.NaN));
if (units.ContainsKey(type))
{
axis.Unit = units[type];
}
axes.Add(type, axis);
}
var model = new PlotModel();
model.Axes.Add(timeAxis);
foreach (var axis in axes.Values)
{
model.Axes.Add(axis);
}
model.PlotMargins = new OxyThickness(0);
model.IsLegendVisible = false;
return(model);
}
private void InitCurrModel()
{
JsonData item = JsonMapper.ToObject(System.IO.File.ReadAllText("param_curr.json"));
DateTimeAxis xAxisCurr14 = new DateTimeAxis()
{
Position = AxisPosition.Bottom,
Title = Convert.ToString(item[0][0]["Title"]),
TitlePosition = Double.Parse(Convert.ToString(item[0][0]["TitlePosition"])),
StringFormat = Convert.ToString(item[0][0]["StringFormat"]),
IsZoomEnabled = Boolean.Parse(Convert.ToString(item[0][0]["IsZoomEnabled"])), //坐标轴缩放关闭
IsPanEnabled = Boolean.Parse(Convert.ToString(item[0][0]["IsPanEnabled"])), //图表缩放功能关闭
MajorGridlineStyle = LineStyle.Solid,
MinorGridlineStyle = LineStyle.Dot,
Minimum = DateTimeAxis.ToDouble(DateTime.Now),
Maximum = DateTimeAxis.ToDouble(DateTime.Now.AddMinutes(60)),
//IntervalLength = 60
};
LinearAxis yAxisCurr14 = new LinearAxis()
{
Position = AxisPosition.Left,
Title = Convert.ToString(item[0][1]["Title"]),
TitlePosition = Double.Parse(Convert.ToString(item[0][1]["TitlePosition"])),
IsZoomEnabled = Boolean.Parse(Convert.ToString(item[0][1]["IsZoomEnabled"])), //坐标轴缩放关闭
IsPanEnabled = Boolean.Parse(Convert.ToString(item[0][1]["IsPanEnabled"])), //图表缩放功能关闭
MajorGridlineStyle = LineStyle.Solid,
MinorGridlineStyle = LineStyle.Dot,
MajorStep = Double.Parse(Convert.ToString(item[0][1]["MajorStep"])),
Minimum = Double.Parse(Convert.ToString(item[0][1]["Minimum"])),
Maximum = Double.Parse(Convert.ToString(item[0][1]["Maximum"]))
};
curr14Model = new PlotModel()
{
Title = "+14V母线电流(mA)"
}; //线条
curr14Model.Axes.Add(xAxisCurr14);
curr14Model.Axes.Add(yAxisCurr14);
curr14Points = new List <DataPoint>();
DateTimeAxis xAxisCurr12P = new DateTimeAxis()
{
Position = AxisPosition.Bottom,
Title = Convert.ToString(item[0][2]["Title"]),
TitlePosition = Double.Parse(Convert.ToString(item[0][2]["TitlePosition"])),
StringFormat = Convert.ToString(item[0][2]["StringFormat"]),
IsZoomEnabled = Boolean.Parse(Convert.ToString(item[0][2]["IsZoomEnabled"])), //坐标轴缩放关闭
IsPanEnabled = Boolean.Parse(Convert.ToString(item[0][2]["IsPanEnabled"])), //图表缩放功能关闭
MajorGridlineStyle = LineStyle.Solid,
MinorGridlineStyle = LineStyle.Dot,
Minimum = DateTimeAxis.ToDouble(DateTime.Now),
Maximum = DateTimeAxis.ToDouble(DateTime.Now.AddMinutes(60)),
//IntervalLength = 60
};
LinearAxis yAxisCurr12P = new LinearAxis()
{
Position = AxisPosition.Left,
Title = Convert.ToString(item[0][3]["Title"]),
TitlePosition = Double.Parse(Convert.ToString(item[0][3]["TitlePosition"])),
IsZoomEnabled = Boolean.Parse(Convert.ToString(item[0][3]["IsZoomEnabled"])), //坐标轴缩放关闭
IsPanEnabled = Boolean.Parse(Convert.ToString(item[0][3]["IsPanEnabled"])), //图表缩放功能关闭
MajorGridlineStyle = LineStyle.Solid,
MinorGridlineStyle = LineStyle.Dot,
MajorStep = Double.Parse(Convert.ToString(item[0][3]["MajorStep"])),
Minimum = Double.Parse(Convert.ToString(item[0][3]["Minimum"])),
Maximum = Double.Parse(Convert.ToString(item[0][3]["Maximum"]))
};
curr12PModel = new PlotModel()
{
Title = "+12V供电电流(mA)"
}; //线条
curr12PModel.Axes.Add(xAxisCurr12P);
curr12PModel.Axes.Add(yAxisCurr12P);
curr12PPoints = new List <DataPoint>();
DateTimeAxis xAxisCurr12N = new DateTimeAxis()
{
Position = AxisPosition.Bottom,
Title = Convert.ToString(item[0][4]["Title"]),
TitlePosition = Double.Parse(Convert.ToString(item[0][4]["TitlePosition"])),
StringFormat = Convert.ToString(item[0][4]["StringFormat"]),
IsZoomEnabled = Boolean.Parse(Convert.ToString(item[0][4]["IsZoomEnabled"])), //坐标轴缩放关闭
IsPanEnabled = Boolean.Parse(Convert.ToString(item[0][4]["IsPanEnabled"])), //图表缩放功能关闭
MajorGridlineStyle = LineStyle.Solid,
MinorGridlineStyle = LineStyle.Dot,
Minimum = DateTimeAxis.ToDouble(DateTime.Now),
Maximum = DateTimeAxis.ToDouble(DateTime.Now.AddMinutes(60)),
//IntervalLength = 60
};
LinearAxis yAxisCurr12N = new LinearAxis()
{
Position = AxisPosition.Left,
Title = Convert.ToString(item[0][5]["Title"]),
TitlePosition = Double.Parse(Convert.ToString(item[0][5]["TitlePosition"])),
IsZoomEnabled = Boolean.Parse(Convert.ToString(item[0][5]["IsZoomEnabled"])), //坐标轴缩放关闭
IsPanEnabled = Boolean.Parse(Convert.ToString(item[0][5]["IsPanEnabled"])), //图表缩放功能关闭
MajorGridlineStyle = LineStyle.Solid,
MinorGridlineStyle = LineStyle.Dot,
MajorStep = Double.Parse(Convert.ToString(item[0][5]["MajorStep"])),
Minimum = Double.Parse(Convert.ToString(item[0][5]["Minimum"])),
Maximum = Double.Parse(Convert.ToString(item[0][5]["Maximum"]))
};
curr12NModel = new PlotModel()
{
Title = "-12V供电电流(mA)"
}; //线条
curr12NModel.Axes.Add(xAxisCurr12N);
curr12NModel.Axes.Add(yAxisCurr12N);
curr12NPoints = new List <DataPoint>();
DateTimeAxis xAxisCurr5 = new DateTimeAxis()
{
Position = AxisPosition.Bottom,
Title = Convert.ToString(item[0][6]["Title"]),
TitlePosition = Double.Parse(Convert.ToString(item[0][6]["TitlePosition"])),
StringFormat = Convert.ToString(item[0][6]["StringFormat"]),
IsZoomEnabled = Boolean.Parse(Convert.ToString(item[0][6]["IsZoomEnabled"])), //坐标轴缩放关闭
IsPanEnabled = Boolean.Parse(Convert.ToString(item[0][6]["IsPanEnabled"])), //图表缩放功能关闭
MajorGridlineStyle = LineStyle.Solid,
MinorGridlineStyle = LineStyle.Dot,
Minimum = DateTimeAxis.ToDouble(DateTime.Now),
Maximum = DateTimeAxis.ToDouble(DateTime.Now.AddMinutes(60)),
//IntervalLength = 60
};
LinearAxis yAxisCurr5 = new LinearAxis()
{
Position = AxisPosition.Left,
Title = Convert.ToString(item[0][7]["Title"]),
TitlePosition = Double.Parse(Convert.ToString(item[0][7]["TitlePosition"])),
IsZoomEnabled = Boolean.Parse(Convert.ToString(item[0][7]["IsZoomEnabled"])), //坐标轴缩放关闭
IsPanEnabled = Boolean.Parse(Convert.ToString(item[0][7]["IsPanEnabled"])), //图表缩放功能关闭
MajorGridlineStyle = LineStyle.Solid,
MinorGridlineStyle = LineStyle.Dot,
MajorStep = Double.Parse(Convert.ToString(item[0][7]["MajorStep"])),
Minimum = Double.Parse(Convert.ToString(item[0][7]["Minimum"])),
Maximum = Double.Parse(Convert.ToString(item[0][7]["Maximum"]))
};
curr5Model = new PlotModel()
{
Title = "+5V供电电流(mA)"
}; //线条
curr5Model.Axes.Add(xAxisCurr5);
curr5Model.Axes.Add(yAxisCurr5);
curr5Points = new List <DataPoint>();
}
private void Load()
{
#region TreningData
Model.Series.Add(new LineSeries()
{
Title = "Trening", MarkerSize = 11, MarkerType = MarkerType.Circle, LineStyle = LineStyle.None, MarkerFill = OxyColors.Red, ItemsSource = Controled
});
#endregion
var axisx = new LinearAxis()
{
Minimum = ax.X,
Maximum = ax.Y,
PositionAtZeroCrossing = true,
AxislineStyle = LineStyle.Solid,
};
var axisy = new LinearAxis()
{
Minimum = ay.X,
Maximum = ay.Y,
PositionAtZeroCrossing = true,
AxislineStyle = LineStyle.Solid,
Position = AxisPosition.Top
};
Model.Axes.Add(axisx);
Model.Axes.Add(axisy);
#region TestingData
List <DataPoint> Tested = new List <DataPoint>();
foreach (var item in TestingData)
{
Tested.Add(new DataPoint(item.X, item.Y));
}
Model.Series.Add(new LineSeries()
{
Title = "Tested", MarkerSize = 11, MarkerType = MarkerType.Square, LineStyle = LineStyle.None, MarkerFill = OxyColors.Blue, ItemsSource = Tested
});
#endregion
LineSeries Pos = new LineSeries()
{
Title = "1", MarkerSize = 8, MarkerType = MarkerType.Triangle, LineStyle = LineStyle.None, MarkerFill = OxyColors.GreenYellow, ItemsSource = Positive
};
LineSeries Neg = new LineSeries()
{
Title = "0", MarkerSize = 8, MarkerType = MarkerType.Diamond, LineStyle = LineStyle.None, MarkerFill = OxyColors.BlueViolet, ItemsSource = Negative
};
Model.Series.Add(Pos);
Model.Series.Add(Neg);
Model.Series.Add(new LineSeries());
model.InvalidatePlot(true);
Perceptron.Generate(TreningData, w);
UpdateLine();
Weight.Clear();
Weight.AddRange(Perceptron.GetWeight());
UpdateLine();
}
// [Example("All in one")]
public static PlotModel AllInOne()
{
var model = new PlotModel
{
Title = "All in one",
LegendPlacement = LegendPlacement.Outside,
LegendPosition = LegendPosition.BottomCenter,
LegendOrientation = LegendOrientation.Horizontal,
LegendBorderThickness = 0
};
var categoryAxis = new CategoryAxis {
Position = CategoryAxisPosition(), GapWidth = 0.01
};
categoryAxis.Labels.Add("Category A");
categoryAxis.Labels.Add("Category B");
categoryAxis.Labels.Add("Category C");
categoryAxis.Labels.Add("Category D");
var valueAxis = new LinearAxis
{
Position = ValueAxisPosition(),
MinimumPadding = 0.06,
MaximumPadding = 0.06,
ExtraGridlines = new[] { 0.0 },
ExtraGridlineStyle = LineStyle.Solid,
ExtraGridlineColor = OxyColors.Black,
ExtraGridlineThickness = 1
};
var categoryA = 0;
var categoryB = 1;
var categoryC = 2;
var categoryD = 3;
var s1 = new TSeries {
Title = "Series 1", IsStacked = true, StrokeColor = OxyColors.Black, StrokeThickness = 1, StackGroup = "3"
};
s1.Items.Add(new TItem {
Value = 25
});
s1.Items.Add(new TItem {
Value = 137
});
s1.Items.Add(new TItem {
Value = 18
});
s1.Items.Add(new TItem {
Value = 40
});
var s2 = new TSeries {
Title = "Series 2", IsStacked = true, StrokeColor = OxyColors.Black, StrokeThickness = 1, StackGroup = "3"
};
s2.Items.Add(new TItem {
Value = -12
});
s2.Items.Add(new TItem {
Value = -14
});
s2.Items.Add(new TItem {
Value = -120
});
s2.Items.Add(new TItem {
Value = -26
});
var s3 = new TSeries {
Title = "Series 3", IsStacked = true, StrokeColor = OxyColors.Black, StrokeThickness = 1, StackGroup = "5"
};
s3.Items.Add(new TItem {
Value = 21
});
s3.Items.Add(new TItem {
Value = 8
});
s3.Items.Add(new TItem {
Value = 48
});
s3.Items.Add(new TItem {
Value = 3
});
var s4 = new TSeries {
Title = "Series 4", IsStacked = true, StrokeColor = OxyColors.Black, StrokeThickness = 1, StackGroup = "5", LabelFormatString = "{0:0}", LabelPlacement = LabelPlacement.Middle
};
s4.Items.Add(new TItem {
Value = -8, CategoryIndex = categoryA
});
s4.Items.Add(new TItem {
Value = -8, CategoryIndex = categoryA
});
s4.Items.Add(new TItem {
Value = -8, CategoryIndex = categoryA
});
s4.Items.Add(new TItem {
Value = -21, CategoryIndex = categoryB
});
s4.Items.Add(new TItem {
Value = -3, CategoryIndex = categoryC
});
s4.Items.Add(new TItem {
Value = -48, CategoryIndex = categoryD
});
s4.Items.Add(new TItem {
Value = 8, CategoryIndex = categoryA
});
s4.Items.Add(new TItem {
Value = 21, CategoryIndex = categoryB
});
s4.Items.Add(new TItem {
Value = 3, CategoryIndex = categoryC
});
s4.Items.Add(new TItem {
Value = 48, CategoryIndex = categoryD
});
var s5 = new TSeries {
Title = "Series 5", IsStacked = false, StrokeColor = OxyColors.Black, StrokeThickness = 1
};
s5.Items.Add(new TItem {
Value = 17, CategoryIndex = categoryA
});
s5.Items.Add(new TItem {
Value = 179, CategoryIndex = categoryB
});
s5.Items.Add(new TItem {
Value = 45, CategoryIndex = categoryC
});
s5.Items.Add(new TItem {
Value = 65, CategoryIndex = categoryD
});
s5.Items.Add(new TItem {
Value = 97, CategoryIndex = categoryA
});
s5.Items.Add(new TItem {
Value = 21, CategoryIndex = categoryD
});
var s6 = new TSeries {
Title = "Series 6", IsStacked = false, StrokeColor = OxyColors.Black, StrokeThickness = 1, LabelFormatString = "{0:0}", LabelPlacement = LabelPlacement.Base
};
s6.Items.Add(new TItem {
Value = 7
});
s6.Items.Add(new TItem {
Value = 54
});
s6.Items.Add(new TItem {
Value = 68
});
s6.Items.Add(new TItem {
Value = 12
});
model.Series.Add(s1);
model.Series.Add(s2);
model.Series.Add(s3);
model.Series.Add(s4);
model.Series.Add(s5);
model.Series.Add(s6);
model.Axes.Add(categoryAxis);
model.Axes.Add(valueAxis);
return(model);
}
private void SetupGraphs()
{
double[] x = { 0, 0.5, 1, 1.5, 2, 2.5, 3, 4, 5, 6 };
try
{
pAboveGround.Model.Axes.Clear();
pAboveGround.Model.Series.Clear();
pBelowGround.Model.Axes.Clear();
pBelowGround.Model.Series.Clear();
pAboveGround.Model.Title = "Above Ground";
pAboveGround.Model.PlotAreaBorderColor = OxyColors.White;
pAboveGround.Model.LegendBorder = OxyColors.Transparent;
LinearAxis agxAxis = new LinearAxis();
agxAxis.Title = "Multiple of Tree Height";
agxAxis.AxislineStyle = LineStyle.Solid;
agxAxis.AxisDistance = 2;
agxAxis.Position = AxisPosition.Top;
LinearAxis agyAxis = new LinearAxis();
agyAxis.Title = "%";
agyAxis.AxislineStyle = LineStyle.Solid;
agyAxis.AxisDistance = 2;
Utility.LineSeriesWithTracker seriesShade = new Utility.LineSeriesWithTracker();
List <DataPoint> pointsShade = new List <DataPoint>();
DataRow rowShade = table.Rows[0];
DataColumn col = table.Columns[0];
double[] yShade = new double[table.Columns.Count - 1];
pAboveGround.Model.Axes.Add(agxAxis);
pAboveGround.Model.Axes.Add(agyAxis);
for (int i = 1; i < table.Columns.Count; i++)
{
if (rowShade[i].ToString() == "")
{
return;
}
yShade[i - 1] = Convert.ToDouble(rowShade[i]);
}
for (int i = 0; i < x.Length; i++)
{
pointsShade.Add(new DataPoint(x[i], yShade[i]));
}
seriesShade.Title = "Shade";
seriesShade.ItemsSource = pointsShade;
pAboveGround.Model.Series.Add(seriesShade);
}
//don't draw the series if the format is wrong
catch (FormatException)
{
pBelowGround.Model.Series.Clear();
}
/////////////// Below Ground
try
{
pBelowGround.Model.Title = "Below Ground";
pBelowGround.Model.PlotAreaBorderColor = OxyColors.White;
pBelowGround.Model.LegendBorder = OxyColors.Transparent;
LinearAxis bgxAxis = new LinearAxis();
LinearAxis bgyAxis = new LinearAxis();
List <Utility.LineSeriesWithTracker> seriesList = new List <Utility.LineSeriesWithTracker>();
bgyAxis.Position = AxisPosition.Left;
bgxAxis.Position = AxisPosition.Top;
bgyAxis.Title = "Depth (mm)";
bgxAxis.Title = "Root Length Density (cm/cm3)";
bgxAxis.Minimum = 0;
bgxAxis.MinorTickSize = 0;
bgxAxis.AxislineStyle = LineStyle.Solid;
bgxAxis.AxisDistance = 2;
pBelowGround.Model.Axes.Add(bgxAxis);
bgyAxis.StartPosition = 1;
bgyAxis.EndPosition = 0;
bgyAxis.MinorTickSize = 0;
bgyAxis.AxislineStyle = LineStyle.Solid;
pBelowGround.Model.Axes.Add(bgyAxis);
for (int i = 1; i < table.Columns.Count; i++)
{
Utility.LineSeriesWithTracker series = new Utility.LineSeriesWithTracker();
series.Title = table.Columns[i].ColumnName;
double[] data = new double[table.Rows.Count - 4];
for (int j = 4; j < table.Rows.Count; j++)
{
data[j - 4] = Convert.ToDouble(table.Rows[j].Field <string>(i));
}
List <DataPoint> points = new List <DataPoint>();
for (int j = 0; j < data.Length; j++)
{
points.Add(new DataPoint(data[j], SoilMidpoints[j]));
}
series.ItemsSource = points;
pBelowGround.Model.Series.Add(series);
}
}
//don't draw the series if the format is wrong
catch (FormatException)
{
pBelowGround.Model.Series.Clear();
}
finally
{
pAboveGround.InvalidatePlot(true);
pBelowGround.InvalidatePlot(true);
}
}