// [Example("DateTime Minimum bug")]
public static PlotModel Example1()
{
var tmp = new PlotModel("Test");
tmp.Axes.Add(new LinearAxis(AxisPosition.Left) { MajorGridlineStyle = LineStyle.Solid, MinorGridlineStyle = LineStyle.Dot, TickStyle = TickStyle.Outside });
DateTime dt = new DateTime(2010, 1, 1);
tmp.Axes.Add(new DateTimeAxis(dt, dt.AddDays(1), AxisPosition.Bottom, null, null, DateTimeIntervalType.Hours)
{
MajorGridlineStyle = LineStyle.Solid,
Angle = 90,
StringFormat = "HH:mm",
MajorStep = 1.0 / 24 / 2, // 1/24 = 1 hour, 1/24/2 = 30 minutes
IsZoomEnabled = true,
MaximumPadding = 0,
MinimumPadding = 0,
TickStyle = TickStyle.None
});
var ls = new LineSeries("Line1") { DataFieldX = "X", DataFieldY = "Y" };
List<Item> ii = new List<Item>();
for (int i = 0; i < 24; i++)
ii.Add(new Item { X = dt.AddHours(i), Y = i * i });
ls.ItemsSource = ii;
tmp.Series.Add(ls);
return tmp;
}
public MainViewModel()
{
Model = new PlotModel();
var profile = new Profile(Gender.Male, 80);
var start = DateTime.Now.AddHours(-5);
var drinks = new List<DrinkEntry> {
new DrinkEntry(DrinkType.Beer, start.AddMinutes(5), 330.0, 4.6),
new DrinkEntry(DrinkType.Beer, start.AddMinutes(25), 330.0, 4.6),
new DrinkEntry(DrinkType.Beer, start.AddMinutes(50), 330.0, 4.6),
new DrinkEntry(DrinkType.Beer, start.AddMinutes(75), 330.0, 4.6),
new DrinkEntry(DrinkType.Spirits, start.AddMinutes(90), 40.0, 40.0)
};
var result = Library.Promillekoll.calculateAlcoholLevelOverTime(profile, ListModule.OfSeq(drinks));
var series = new LineSeries("Alcohol Level");
foreach (var entry in result)
{
var minutesSinceFirstDrink = entry.Item1.Subtract(start).TotalMinutes;
series.Points.Add(new DataPoint(minutesSinceFirstDrink, entry.Item2));
}
Model.Series.Add(series);
}
public MainWindow(List<double> trainErrors, List<double> cvErrors) : this()
{
_model = new PlotModel("ANN errors") { LegendSymbolLength = 24 };
var s1 = new LineSeries("train error")
{
Color = OxyColors.SkyBlue,
MarkerType = MarkerType.Circle,
MarkerSize = 6,
MarkerStroke = OxyColors.White,
MarkerFill = OxyColors.SkyBlue,
MarkerStrokeThickness = 1.5
};
for (int i = 0; i < trainErrors.Count; i++)
s1.Points.Add(new DataPoint(i * 10000, trainErrors[i]));
_model.Series.Add(s1);
var s2 = new LineSeries("cv error")
{
Color = OxyColors.Teal,
MarkerType = MarkerType.Diamond,
MarkerSize = 6,
MarkerStroke = OxyColors.White,
MarkerFill = OxyColors.Teal,
MarkerStrokeThickness = 1.5
};
for (int i = 0; i < cvErrors.Count; i++)
s2.Points.Add(new DataPoint(i * 10000, cvErrors[i]));
_model.Series.Add(s2);
this.DataContext = _model;
}
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();
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("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 LineSeries10()
{
var model = new PlotModel("LineSeries, 100k points, ItemsSource, List<IDataPoint>");
var s1 = new LineSeries();
var points = new List<IDataPoint>();
AddPoints(points, 100000);
s1.ItemsSource = points;
model.Series.Add(s1);
return model;
}
public MainWindow()
{
InitializeComponent();
var ls = new OxyPlot.LineSeries();
for (int i = 0; i < 10; i++)
{
ls.Points.Add(new DataPoint(i, -i));
}
this.AddChild(ls);
//panel = this.GetTemplateChild("panel") as StackPanel;
}
public void OnDtwChanged()
{
var dtwPath = Dtw.GetPath();
var xLength = Dtw.XLength;
var yLength = Dtw.YLength;
var cost = Dtw.GetCost();
var costNormalized = Dtw.GetCost() / Math.Sqrt(xLength * xLength + yLength * yLength);
var plotModel = new PlotModel(String.Format("Dtw norm by length: {0:0.00}, total: {1:0.00}", costNormalized, cost));
for (int variableIndex = 0; variableIndex < Dtw.SeriesVariables.Length; variableIndex++)
{
var variableA = Dtw.SeriesVariables[variableIndex];
var variableASeries = variableA.GetPreprocessedXSeries();
var variableB = Dtw.SeriesVariables[variableIndex];
var variableBSeries = variableB.GetPreprocessedYSeries();
var axisTitleAndKey = String.Format("Value ({0})", variableA.VariableName);
plotModel.Axes.Add(new LinearAxis(AxisPosition.Left, axisTitleAndKey) { Key = axisTitleAndKey, PositionTier = variableIndex });
var plotSeriesA = new LineSeries(variableA.VariableName) { YAxisKey = axisTitleAndKey };
for (int i = 0; i < xLength; i++)
plotSeriesA.Points.Add(new DataPoint(i, variableASeries[i]));
var plotSeriesB = new LineSeries(variableB.VariableName) { YAxisKey = axisTitleAndKey };
for (int i = 0; i < yLength; i++)
plotSeriesB.Points.Add(new DataPoint(i, variableBSeries[i]));
var plotSeriesPath = new LineSeries("Dtw")
{
YAxisKey = axisTitleAndKey,
StrokeThickness = 0.5,
Color = OxyColors.DimGray,
};
for (int i = 0; i < dtwPath.Length; i++)
{
plotSeriesPath.Points.Add(new DataPoint(dtwPath[i].Item1, variableASeries[dtwPath[i].Item1]));
plotSeriesPath.Points.Add(new DataPoint(dtwPath[i].Item2, variableBSeries[dtwPath[i].Item2]));
plotSeriesPath.Points.Add(new DataPoint(double.NaN, double.NaN));
}
plotModel.Series.Add(plotSeriesA);
plotModel.Series.Add(plotSeriesB);
plotModel.Series.Add(plotSeriesPath);
}
plotModel.Axes.Add(new LinearAxis(AxisPosition.Bottom, "Index"));
Plot.Model = plotModel;
}
public static PlotModel FilteringInvalidPoints()
{
var plot = new PlotModel("Filtering invalid points");
plot.Axes.Add(new LinearAxis(AxisPosition.Bottom, "X-axis"));
plot.Axes.Add(new LinearAxis(AxisPosition.Left, "Y-axis"));
var lsNaN = new LineSeries("NaN");
lsNaN.Points.Add(new DataPoint(double.NaN, double.NaN));
lsNaN.Points.Add(new DataPoint(1, 0));
lsNaN.Points.Add(new DataPoint(2, 10));
lsNaN.Points.Add(new DataPoint(double.NaN, 20));
lsNaN.Points.Add(new DataPoint(3, 10));
lsNaN.Points.Add(new DataPoint(4, 0));
lsNaN.Points.Add(new DataPoint(4.5, double.NaN));
lsNaN.Points.Add(new DataPoint(5, 0));
lsNaN.Points.Add(new DataPoint(6, 10));
lsNaN.Points.Add(new DataPoint(double.NaN, double.NaN));
lsNaN.Points.Add(new DataPoint(7, 0));
lsNaN.Points.Add(new DataPoint(double.NaN, double.NaN));
plot.Series.Add(lsNaN);
var lsPosInf = new LineSeries("PositiveInfinity");
lsPosInf.Points.Add(new DataPoint(double.PositiveInfinity, double.PositiveInfinity));
lsPosInf.Points.Add(new DataPoint(1, 1));
lsPosInf.Points.Add(new DataPoint(2, 11));
lsPosInf.Points.Add(new DataPoint(double.PositiveInfinity, 20));
lsPosInf.Points.Add(new DataPoint(3, 11));
lsPosInf.Points.Add(new DataPoint(4, 1));
lsPosInf.Points.Add(new DataPoint(4.5, double.PositiveInfinity));
lsPosInf.Points.Add(new DataPoint(5, 1));
lsPosInf.Points.Add(new DataPoint(6, 11));
lsPosInf.Points.Add(new DataPoint(double.PositiveInfinity, double.PositiveInfinity));
lsPosInf.Points.Add(new DataPoint(7, 1));
lsPosInf.Points.Add(new DataPoint(double.PositiveInfinity, double.PositiveInfinity));
plot.Series.Add(lsPosInf);
var lsNegInf = new LineSeries("NegativeInfinity");
lsNegInf.Points.Add(new DataPoint(double.NegativeInfinity, double.NegativeInfinity));
lsNegInf.Points.Add(new DataPoint(1, 2));
lsNegInf.Points.Add(new DataPoint(2, 12));
lsNegInf.Points.Add(new DataPoint(double.NegativeInfinity, 20));
lsNegInf.Points.Add(new DataPoint(3, 12));
lsNegInf.Points.Add(new DataPoint(4, 2));
lsNegInf.Points.Add(new DataPoint(4.5, double.NegativeInfinity));
lsNegInf.Points.Add(new DataPoint(5, 2));
lsNegInf.Points.Add(new DataPoint(6, 12));
lsNegInf.Points.Add(new DataPoint(double.NegativeInfinity, double.NegativeInfinity));
lsNegInf.Points.Add(new DataPoint(7, 2));
lsNegInf.Points.Add(new DataPoint(double.NegativeInfinity, double.NegativeInfinity));
plot.Series.Add(lsNegInf);
return plot;
}
public static PlotModel MouseEvents()
{
var model = new PlotModel("Mouse events", "Left click and drag");
var yaxis = new LinearAxis(AxisPosition.Left, -1, 1);
var xaxis = new LinearAxis(AxisPosition.Bottom, -1, 1);
model.Axes.Add(yaxis);
model.Axes.Add(xaxis);
LineSeries s1 = null;
// Subscribe to the mouse down event on the line series
model.MouseDown += (s, e) =>
{
// only handle the left mouse button (right button can still be used to pan)
if (e.ChangedButton == OxyMouseButton.Left)
{
// Add a line series
s1 = new LineSeries("LineSeries" + (model.Series.Count + 1))
{
// Color = OxyColors.SkyBlue,
MarkerType = MarkerType.None,
StrokeThickness = 2
};
s1.Points.Add(Axis.InverseTransform(e.Position, xaxis, yaxis));
model.Series.Add(s1);
model.RefreshPlot(false);
e.Handled = true;
}
};
model.MouseMove += (s, e) =>
{
if (s1 != null)
{
s1.Points.Add(Axis.InverseTransform(e.Position, xaxis, yaxis));
model.RefreshPlot(false);
e.Handled = true;
}
};
model.MouseUp += (s, e) =>
{
if (s1 != null)
{
s1 = null;
e.Handled = true;
}
};
return model;
}
public static PlotModel LineSeries1Round()
{
var model = new PlotModel("LineSeries, 100k points, round line joins");
#if !SILVERLIGHT && !MONO
var watch = new Stopwatch();
model.Updating += (sender, args) => watch.Restart();
model.Updated += (sender, args) => Debug.WriteLine("Updated in " + watch.ElapsedMilliseconds + " ms");
#endif
var s1 = new LineSeries() { LineJoin = OxyPenLineJoin.Round };
AddPoints(s1.Points, 100000);
model.Series.Add(s1);
return model;
}
public void OnDtwChanged()
{
var dtwPath = Dtw.GetPath();
var xLength = Dtw.XLength;
var yLength = Dtw.YLength;
var seriesAMultivariate = Dtw.SeriesVariables.Select(x => x.GetPreprocessedXSeries()).ToArray();
var seriesBMultivariate = Dtw.SeriesVariables.Select(x => x.GetPreprocessedYSeries()).ToArray();
var cost = Dtw.GetCost();
var plotModel = new PlotModel(String.Format("Dtw ({0:0.00})", cost));
for (int variableIndex = 0; variableIndex < seriesAMultivariate.Length; variableIndex++)
{
var axisTitleAndKey = String.Format("Value (var {0})", variableIndex + 1);
plotModel.Axes.Add(new LinearAxis(AxisPosition.Left, axisTitleAndKey) { Key = axisTitleAndKey, PositionTier = variableIndex} );
var seriesAVariable = seriesAMultivariate[variableIndex];
var seriesBVariable = seriesBMultivariate[variableIndex];
var plotSeriesA = new LineSeries("Series A") { YAxisKey = axisTitleAndKey };
for (int i = 0; i < xLength; i++)
plotSeriesA.Points.Add(new DataPoint(i, seriesAVariable[i]));
var plotSeriesB = new LineSeries("Series B") { YAxisKey = axisTitleAndKey };
for (int i = 0; i < yLength; i++)
plotSeriesB.Points.Add(new DataPoint(i, seriesBVariable[i]));
var plotSeriesPath = new LineSeries("Dtw")
{
YAxisKey = axisTitleAndKey,
StrokeThickness = 0.5,
Color = OxyColors.DimGray,
};
for (int i = 0; i < dtwPath.Length; i++)
{
plotSeriesPath.Points.Add(new DataPoint(dtwPath[i].Item1, seriesAVariable[dtwPath[i].Item1]));
plotSeriesPath.Points.Add(new DataPoint(dtwPath[i].Item2, seriesBVariable[dtwPath[i].Item2]));
plotSeriesPath.Points.Add(new DataPoint(double.NaN, double.NaN));
}
plotModel.Series.Add(plotSeriesA);
plotModel.Series.Add(plotSeriesB);
plotModel.Series.Add(plotSeriesPath);
}
plotModel.Axes.Add(new LinearAxis(AxisPosition.Bottom, "Index"));
Plot.Model = plotModel;
}
private void WindowLoaded(object sender, RoutedEventArgs e)
{
var temp = new PlotModel();
var rs = new LineSeries();
rs.StrokeThickness = 1;
var fuelData = File.ReadAllLines(@"Data/Fuel.txt").Select(double.Parse).ToList();
for (int i = 0; i < fuelData.Count; i++) rs.Points.Add(new DataPoint(i, fuelData[i]));
temp.Series.Add(rs);
var f = new Matrix(new[,] {{1.0, 1}, {0, 1}});
var b = new Matrix(new[,] {{0.0}, {0}});
var u = new Matrix(new[,] {{0.0}, {0}});
var r = Matrix.CreateVector(10);
var q = new Matrix(new[,] {{0.01, 0.4}, {0.1, 0.02}});
var h = new Matrix(new[,] {{1.0 , 0}});
var kalman = new KalmanFilter(f, b, u, q, h, r); // задаем F, H, Q и R
kalman.SetState(Matrix.CreateVector(fuelData[0], 0), new Matrix(new[,] {{10.0, 0}, {0 , 10.0}})); // задаем начальные State и Covariance
var filtered = new List<double>();
var rashod = new List<double>();
foreach (var d in fuelData)
{
try
{
kalman.Correct(new Matrix(new[,] {{d}}));
filtered.Add(kalman.State[0, 0]);
rashod.Add(kalman.State[1, 0]);
}
catch(Exception ex)
{
MessageBox.Show(ex.Message);
}
}
var fs = new LineSeries();
for (int i = 0; i < filtered.Count; i++) fs.Points.Add(new DataPoint(i, filtered[i]));
temp.Series.Add(fs);
var ras = new LineSeries();
for (int i = 0; i < filtered.Count; i++) ras.Points.Add(new DataPoint(i, rashod[i]));
temp.Series.Add(ras);
temp.Axes.Add(new LinearAxis(AxisPosition.Left, 0, 4200));
temp.Axes.Add(new LinearAxis(AxisPosition.Bottom));
Plot.Model = temp;
}
public MainWindow()
{
InitializeComponent();
InitializeBackgroundWorker();
_worker.RunWorkerAsync();
DataContext = new MainViewModel();
model = new PlotModel("SNMP Trap Collector", "Voltage Chart");
model.Padding = new OxyThickness(-20, 0, 20, 0);
voltageLine = new LineSeries("Voltage") { MarkerType = MarkerType.Square };
model.Series.Add(voltageLine);
model.Axes.Add(new LinearAxis(AxisPosition.Left, -1, 4, "Voltage"));
model.Axes.Add(new LinearAxis(AxisPosition.Bottom, "Timestamp"));
MainViewModel mwm = new MainViewModel();
mwm.Model = model;
DataContext = mwm;
}
public static PlotModel NoInterpolation()
{
var model = new PlotModel("No tracker interpolation", "Used for discrete values or scatter plots.") { LegendSymbolLength = 30 };
var s1 = new LineSeries("Series 1")
{
CanTrackerInterpolatePoints = false,
Color = OxyColors.SkyBlue,
MarkerType = MarkerType.Circle,
MarkerSize = 6,
MarkerStroke = OxyColors.White,
MarkerFill = OxyColors.SkyBlue,
MarkerStrokeThickness = 1.5
};
for (int i = 0; i < 63; i++)
s1.Points.Add(new DataPoint((int)(Math.Sqrt(i) * Math.Cos(i * 0.1)), (int)(Math.Sqrt(i) * Math.Sin(i * 0.1))));
model.Series.Add(s1);
return model;
}
public static PlotModel OneSeries()
{
var model = new PlotModel("LineSeries") { LegendSymbolLength = 24 };
var s1 = new LineSeries("Series 1")
{
Color = OxyColors.SkyBlue,
MarkerType = MarkerType.Circle,
MarkerSize = 6,
MarkerStroke = OxyColors.White,
MarkerFill = OxyColors.SkyBlue,
MarkerStrokeThickness = 1.5
};
s1.Points.Add(new DataPoint(0, 10));
s1.Points.Add(new DataPoint(10, 40));
s1.Points.Add(new DataPoint(40, 20));
s1.Points.Add(new DataPoint(60, 30));
model.Series.Add(s1);
return model;
}
public static PlotModel AmdahlsLaw()
{
var model = new PlotModel("Amdahl's law") { LegendTitle = "Parallel portion" };
// http://en.wikipedia.org/wiki/Amdahl's_law
Func<double, int, double> maxSpeedup = (p, n) => 1.0 / ((1.0 - p) + (double)p / n);
Func<double, LineSeries> createSpeedupCurve = p =>
{
// todo: tracker does not work when smoothing = true (too few points interpolated on the left end of the curve)
var ls = new LineSeries(p.ToString("P0")) { Smooth = false };
for (int n = 1; n <= 65536; n *= 2) ls.Points.Add(new DataPoint(n, maxSpeedup(p, n)));
return ls;
};
model.Axes.Add(new LogarithmicAxis(AxisPosition.Bottom, "Number of processors") { Base = 2, MajorGridlineStyle = LineStyle.Solid, TickStyle = TickStyle.None });
model.Axes.Add(new LinearAxis(AxisPosition.Left, 0, 20, 2, 2, "Speedup") { StringFormat = "F2", MajorGridlineStyle = LineStyle.Solid, TickStyle = TickStyle.None });
model.Series.Add(createSpeedupCurve(0.5));
model.Series.Add(createSpeedupCurve(0.75));
model.Series.Add(createSpeedupCurve(0.9));
model.Series.Add(createSpeedupCurve(0.95));
return model;
}
//private bool error = false;
public MainWindow()
{
InitializeComponent();
this._backgroundWorker = new BackgroundWorker();
this._backgroundWorker.DoWork += new DoWorkEventHandler(backgroundWorker_DoWork);
this._backgroundWorker.ProgressChanged += new ProgressChangedEventHandler(backgroundWorker_ProgressChanged);
this._backgroundWorker.RunWorkerCompleted += new RunWorkerCompletedEventHandler(backgroundWorker_WorkerCompleted);
this._backgroundWorker.WorkerReportsProgress = true;
this._backgroundWorker.RunWorkerAsync();
this.pModel = new PlotModel("RL-ARM", "SNMP TRAP");
this.pModel.Padding = new OxyThickness(-20, 5, 30, 20);
var axisx = new LinearAxis(AxisPosition.Bottom, "Timestamp");
this.pModel.Axes.Add(axisx);
var axisy = new LinearAxis(AxisPosition.Left, "Voltage") { Minimum = 0, Maximum = 3.3 };
this.pModel.Axes.Add(axisy);
this.lsVoltage = new LineSeries("Voltage") { MarkerType = MarkerType.Circle };
this.pModel.Series.Add(lsVoltage);
MainViewModel mvm = new MainViewModel();
mvm.Model = this.pModel;
DataContext = mvm;
}
public static PlotModel TwoLineSeries()
{
var model = new PlotModel("Two LineSeries") { LegendSymbolLength = 24 };
model.Axes.Add(new LinearAxis(AxisPosition.Left, -1, 71, "Y-Axis"));
model.Axes.Add(new LinearAxis(AxisPosition.Bottom, -1, 61, "X-Axis"));
var s1 = new LineSeries("Series 1")
{
Color = OxyColors.SkyBlue,
MarkerType = MarkerType.Circle,
MarkerSize = 6,
MarkerStroke = OxyColors.White,
MarkerFill = OxyColors.SkyBlue,
MarkerStrokeThickness = 1.5
};
s1.Points.Add(new DataPoint(0, 10));
s1.Points.Add(new DataPoint(10, 40));
s1.Points.Add(new DataPoint(40, 20));
s1.Points.Add(new DataPoint(60, 30));
model.Series.Add(s1);
var s2 = new LineSeries("Series 2")
{
Color = OxyColors.Teal,
MarkerType = MarkerType.Diamond,
MarkerSize = 6,
MarkerStroke = OxyColors.White,
MarkerFill = OxyColors.Teal,
MarkerStrokeThickness = 1.5
};
s2.Points.Add(new DataPoint(0, 4));
s2.Points.Add(new DataPoint(10, 32));
s2.Points.Add(new DataPoint(40, 14));
s2.Points.Add(new DataPoint(60, 20));
model.Series.Add(s2);
return model;
}
public static PlotModel LineSeriesandAreaSeries()
{
var plotModel1 = new PlotModel("LineSeries and AreaSeries");
var linearAxis1 = new LinearAxis(AxisPosition.Bottom);
plotModel1.Axes.Add(linearAxis1);
var linearAxis2 = new LinearAxis();
plotModel1.Axes.Add(linearAxis2);
var areaSeries1 = new AreaSeries
{
Fill = OxyColors.LightBlue,
DataFieldX2 = "Time",
DataFieldY2 = "Minimum",
Color = OxyColors.Red,
StrokeThickness = 0,
MarkerFill = OxyColors.Transparent,
DataFieldX = "Time",
DataFieldY = "Maximum"
};
areaSeries1.Points2.Add(new DataPoint(0, -5.04135905692417));
areaSeries1.Points2.Add(new DataPoint(2.5, -4.91731850813018));
areaSeries1.Points2.Add(new DataPoint(5, -4.45266314658926));
areaSeries1.Points2.Add(new DataPoint(7.5, -3.87303874542613));
areaSeries1.Points2.Add(new DataPoint(10, -3.00101110255393));
areaSeries1.Points2.Add(new DataPoint(12.5, -2.17980725503518));
areaSeries1.Points2.Add(new DataPoint(15, -1.67332229254456));
areaSeries1.Points2.Add(new DataPoint(17.5, -1.10537158549082));
areaSeries1.Points2.Add(new DataPoint(20, -0.6145459544447));
areaSeries1.Points2.Add(new DataPoint(22.5, 0.120028106039404));
areaSeries1.Points2.Add(new DataPoint(25, 1.06357270435597));
areaSeries1.Points2.Add(new DataPoint(27.5, 1.87301405606466));
areaSeries1.Points2.Add(new DataPoint(30, 2.57569854952195));
areaSeries1.Points2.Add(new DataPoint(32.5, 3.59165537664278));
areaSeries1.Points2.Add(new DataPoint(35, 4.87991958133872));
areaSeries1.Points2.Add(new DataPoint(37.5, 6.36214537958714));
areaSeries1.Points2.Add(new DataPoint(40, 7.62564585126268));
areaSeries1.Points2.Add(new DataPoint(42.5, 8.69606320261772));
areaSeries1.Points2.Add(new DataPoint(45, 10.0118704438265));
areaSeries1.Points2.Add(new DataPoint(47.5, 11.0434480519236));
areaSeries1.Points2.Add(new DataPoint(50, 11.9794171576758));
areaSeries1.Points2.Add(new DataPoint(52.5, 12.9591851832621));
areaSeries1.Points2.Add(new DataPoint(55, 14.172107889304));
areaSeries1.Points2.Add(new DataPoint(57.5, 15.5520057698488));
areaSeries1.Points2.Add(new DataPoint(60, 17.2274942386092));
areaSeries1.Points2.Add(new DataPoint(62.5, 18.6983982186757));
areaSeries1.Points2.Add(new DataPoint(65, 20.4560332001448));
areaSeries1.Points2.Add(new DataPoint(67.5, 22.4867327382261));
areaSeries1.Points2.Add(new DataPoint(70, 24.5319674302041));
areaSeries1.Points2.Add(new DataPoint(72.5, 26.600547815813));
areaSeries1.Points2.Add(new DataPoint(75, 28.5210891459701));
areaSeries1.Points2.Add(new DataPoint(77.5, 30.6793080755413));
areaSeries1.Points2.Add(new DataPoint(80, 33.0546651200646));
areaSeries1.Points2.Add(new DataPoint(82.5, 35.3256065179713));
areaSeries1.Points2.Add(new DataPoint(85, 37.6336074839968));
areaSeries1.Points2.Add(new DataPoint(87.5, 40.2012266359763));
areaSeries1.Points2.Add(new DataPoint(90, 42.8923555399256));
areaSeries1.Points2.Add(new DataPoint(92.5, 45.8665211907432));
areaSeries1.Points2.Add(new DataPoint(95, 48.8200195945427));
areaSeries1.Points2.Add(new DataPoint(97.5, 51.8304284402311));
areaSeries1.Points2.Add(new DataPoint(100, 54.6969868542147));
areaSeries1.Points2.Add(new DataPoint(102.5, 57.7047292990632));
areaSeries1.Points2.Add(new DataPoint(105, 60.4216644602929));
areaSeries1.Points2.Add(new DataPoint(107.5, 62.926258762519));
areaSeries1.Points2.Add(new DataPoint(110, 65.1829734629407));
areaSeries1.Points2.Add(new DataPoint(112.5, 67.2365592083133));
areaSeries1.Points2.Add(new DataPoint(115, 69.5713628691022));
areaSeries1.Points2.Add(new DataPoint(117.5, 71.7267046705944));
areaSeries1.Points2.Add(new DataPoint(120, 73.633463102781));
areaSeries1.Points2.Add(new DataPoint(122.5, 75.4660150158061));
areaSeries1.Points2.Add(new DataPoint(125, 77.5669292504745));
areaSeries1.Points2.Add(new DataPoint(127.5, 79.564218544664));
areaSeries1.Points2.Add(new DataPoint(130, 81.8631309028078));
areaSeries1.Points2.Add(new DataPoint(132.5, 83.9698189969034));
areaSeries1.Points2.Add(new DataPoint(135, 86.3847886532009));
areaSeries1.Points2.Add(new DataPoint(137.5, 88.5559348267764));
areaSeries1.Points2.Add(new DataPoint(140, 91.0455050418365));
areaSeries1.Points2.Add(new DataPoint(142.5, 93.6964157585504));
areaSeries1.Points2.Add(new DataPoint(145, 96.284336864941));
areaSeries1.Points2.Add(new DataPoint(147.5, 98.7508602689723));
areaSeries1.Points2.Add(new DataPoint(150, 100.904510594255));
areaSeries1.Points2.Add(new DataPoint(152.5, 103.266136681506));
areaSeries1.Points2.Add(new DataPoint(155, 105.780951269521));
areaSeries1.Points2.Add(new DataPoint(157.5, 108.032859257065));
areaSeries1.Points2.Add(new DataPoint(160, 110.035478448093));
areaSeries1.Points2.Add(new DataPoint(162.5, 112.10655731615));
areaSeries1.Points2.Add(new DataPoint(165, 114.37480786097));
areaSeries1.Points2.Add(new DataPoint(167.5, 116.403992550869));
areaSeries1.Points2.Add(new DataPoint(170, 118.61663988727));
areaSeries1.Points2.Add(new DataPoint(172.5, 120.538730287384));
areaSeries1.Points2.Add(new DataPoint(175, 122.515721057177));
areaSeries1.Points2.Add(new DataPoint(177.5, 124.474386629124));
areaSeries1.Points2.Add(new DataPoint(180, 126.448283293214));
areaSeries1.Points2.Add(new DataPoint(182.5, 128.373811322299));
areaSeries1.Points2.Add(new DataPoint(185, 130.33627914667));
areaSeries1.Points2.Add(new DataPoint(187.5, 132.487933658477));
areaSeries1.Points2.Add(new DataPoint(190, 134.716989778456));
areaSeries1.Points2.Add(new DataPoint(192.5, 136.817287595392));
areaSeries1.Points2.Add(new DataPoint(195, 139.216488664698));
areaSeries1.Points2.Add(new DataPoint(197.5, 141.50803227574));
areaSeries1.Points2.Add(new DataPoint(200, 143.539586683614));
areaSeries1.Points2.Add(new DataPoint(202.5, 145.535911545221));
areaSeries1.Points2.Add(new DataPoint(205, 147.516964978686));
areaSeries1.Points2.Add(new DataPoint(207.5, 149.592416731684));
areaSeries1.Points2.Add(new DataPoint(210, 151.600983566512));
areaSeries1.Points2.Add(new DataPoint(212.5, 153.498210993362));
areaSeries1.Points2.Add(new DataPoint(215, 155.512606828247));
areaSeries1.Points2.Add(new DataPoint(217.5, 157.426564302774));
areaSeries1.Points2.Add(new DataPoint(220, 159.364474964172));
areaSeries1.Points2.Add(new DataPoint(222.5, 161.152806492128));
areaSeries1.Points2.Add(new DataPoint(225, 162.679069434562));
areaSeries1.Points2.Add(new DataPoint(227.5, 163.893622036741));
areaSeries1.Points2.Add(new DataPoint(230, 165.475827621238));
areaSeries1.Points2.Add(new DataPoint(232.5, 167.303960444734));
areaSeries1.Points2.Add(new DataPoint(235, 169.259393394952));
areaSeries1.Points2.Add(new DataPoint(237.5, 171.265193646758));
areaSeries1.Points2.Add(new DataPoint(240, 173.074304345192));
areaSeries1.Points2.Add(new DataPoint(242.5, 174.975492766814));
areaSeries1.Points2.Add(new DataPoint(245, 176.684088218484));
areaSeries1.Points2.Add(new DataPoint(247.5, 178.406887247603));
areaSeries1.Points.Add(new DataPoint(0, 5.0184649433561));
areaSeries1.Points.Add(new DataPoint(2.5, 5.27685959268215));
areaSeries1.Points.Add(new DataPoint(5, 5.81437064628786));
areaSeries1.Points.Add(new DataPoint(7.5, 6.51022475040994));
areaSeries1.Points.Add(new DataPoint(10, 7.49921246878766));
areaSeries1.Points.Add(new DataPoint(12.5, 8.41941631823751));
areaSeries1.Points.Add(new DataPoint(15, 9.09826907222079));
areaSeries1.Points.Add(new DataPoint(17.5, 9.89500750098145));
areaSeries1.Points.Add(new DataPoint(20, 10.6633345249404));
areaSeries1.Points.Add(new DataPoint(22.5, 11.6249613445368));
areaSeries1.Points.Add(new DataPoint(25, 12.8816391467497));
areaSeries1.Points.Add(new DataPoint(27.5, 13.9665185705603));
areaSeries1.Points.Add(new DataPoint(30, 14.8501816818724));
areaSeries1.Points.Add(new DataPoint(32.5, 16.0683128022441));
areaSeries1.Points.Add(new DataPoint(35, 17.5378799723172));
areaSeries1.Points.Add(new DataPoint(37.5, 19.1262752954039));
areaSeries1.Points.Add(new DataPoint(40, 20.4103953650735));
areaSeries1.Points.Add(new DataPoint(42.5, 21.5430627723891));
areaSeries1.Points.Add(new DataPoint(45, 22.9105459463366));
areaSeries1.Points.Add(new DataPoint(47.5, 23.9802361888719));
areaSeries1.Points.Add(new DataPoint(50, 24.8659461235003));
areaSeries1.Points.Add(new DataPoint(52.5, 25.7303194442439));
areaSeries1.Points.Add(new DataPoint(55, 26.7688545912359));
areaSeries1.Points.Add(new DataPoint(57.5, 28.0545112571933));
areaSeries1.Points.Add(new DataPoint(60, 29.7036634266394));
areaSeries1.Points.Add(new DataPoint(62.5, 31.2273634344467));
areaSeries1.Points.Add(new DataPoint(65, 33.1038196356519));
areaSeries1.Points.Add(new DataPoint(67.5, 35.2639893610328));
areaSeries1.Points.Add(new DataPoint(70, 37.434293559489));
areaSeries1.Points.Add(new DataPoint(72.5, 39.7109359368267));
areaSeries1.Points.Add(new DataPoint(75, 41.7573881676222));
areaSeries1.Points.Add(new DataPoint(77.5, 44.0460374479862));
areaSeries1.Points.Add(new DataPoint(80, 46.5098714746581));
areaSeries1.Points.Add(new DataPoint(82.5, 48.7754012129155));
areaSeries1.Points.Add(new DataPoint(85, 51.1619816926597));
areaSeries1.Points.Add(new DataPoint(87.5, 53.9036778414639));
areaSeries1.Points.Add(new DataPoint(90, 56.7448825012636));
areaSeries1.Points.Add(new DataPoint(92.5, 59.9294987878434));
areaSeries1.Points.Add(new DataPoint(95, 63.0148831289797));
areaSeries1.Points.Add(new DataPoint(97.5, 66.0721745989622));
areaSeries1.Points.Add(new DataPoint(100, 68.8980036274521));
areaSeries1.Points.Add(new DataPoint(102.5, 71.7719322611447));
areaSeries1.Points.Add(new DataPoint(105, 74.4206055336728));
areaSeries1.Points.Add(new DataPoint(107.5, 76.816198386632));
areaSeries1.Points.Add(new DataPoint(110, 79.0040432726983));
areaSeries1.Points.Add(new DataPoint(112.5, 80.9617606926066));
areaSeries1.Points.Add(new DataPoint(115, 83.1345574620341));
areaSeries1.Points.Add(new DataPoint(117.5, 85.0701022046479));
areaSeries1.Points.Add(new DataPoint(120, 86.8557530286516));
areaSeries1.Points.Add(new DataPoint(122.5, 88.5673387745243));
areaSeries1.Points.Add(new DataPoint(125, 90.6003321543338));
areaSeries1.Points.Add(new DataPoint(127.5, 92.439864576254));
areaSeries1.Points.Add(new DataPoint(130, 94.5383744861178));
areaSeries1.Points.Add(new DataPoint(132.5, 96.4600166864507));
areaSeries1.Points.Add(new DataPoint(135, 98.6091052949006));
areaSeries1.Points.Add(new DataPoint(137.5, 100.496459351478));
areaSeries1.Points.Add(new DataPoint(140, 102.705767030085));
areaSeries1.Points.Add(new DataPoint(142.5, 105.009994476992));
areaSeries1.Points.Add(new DataPoint(145, 107.31287026052));
areaSeries1.Points.Add(new DataPoint(147.5, 109.584842542272));
areaSeries1.Points.Add(new DataPoint(150, 111.641435600837));
areaSeries1.Points.Add(new DataPoint(152.5, 113.988459973544));
areaSeries1.Points.Add(new DataPoint(155, 116.50349048027));
areaSeries1.Points.Add(new DataPoint(157.5, 118.753612704274));
areaSeries1.Points.Add(new DataPoint(160, 120.801728924085));
areaSeries1.Points.Add(new DataPoint(162.5, 122.902486914165));
areaSeries1.Points.Add(new DataPoint(165, 125.104391935796));
areaSeries1.Points.Add(new DataPoint(167.5, 127.06056966547));
areaSeries1.Points.Add(new DataPoint(170, 129.217086578495));
areaSeries1.Points.Add(new DataPoint(172.5, 131.151968896274));
areaSeries1.Points.Add(new DataPoint(175, 133.159906275133));
areaSeries1.Points.Add(new DataPoint(177.5, 135.065263957561));
areaSeries1.Points.Add(new DataPoint(180, 137.041870026822));
areaSeries1.Points.Add(new DataPoint(182.5, 138.937477489811));
areaSeries1.Points.Add(new DataPoint(185, 140.776914926282));
areaSeries1.Points.Add(new DataPoint(187.5, 142.786975776398));
areaSeries1.Points.Add(new DataPoint(190, 144.862762377347));
areaSeries1.Points.Add(new DataPoint(192.5, 146.89654967049));
areaSeries1.Points.Add(new DataPoint(195, 149.204343821204));
areaSeries1.Points.Add(new DataPoint(197.5, 151.369748673527));
areaSeries1.Points.Add(new DataPoint(200, 153.324438580137));
areaSeries1.Points.Add(new DataPoint(202.5, 155.173148715344));
areaSeries1.Points.Add(new DataPoint(205, 157.0501827528));
areaSeries1.Points.Add(new DataPoint(207.5, 159.109122278359));
areaSeries1.Points.Add(new DataPoint(210, 161.044446932778));
areaSeries1.Points.Add(new DataPoint(212.5, 162.942364031841));
areaSeries1.Points.Add(new DataPoint(215, 164.966769883021));
areaSeries1.Points.Add(new DataPoint(217.5, 166.89711806788));
areaSeries1.Points.Add(new DataPoint(220, 168.906874949069));
areaSeries1.Points.Add(new DataPoint(222.5, 170.85692034995));
areaSeries1.Points.Add(new DataPoint(225, 172.602125010408));
areaSeries1.Points.Add(new DataPoint(227.5, 173.964258466598));
areaSeries1.Points.Add(new DataPoint(230, 175.629908385654));
areaSeries1.Points.Add(new DataPoint(232.5, 177.495778359378));
areaSeries1.Points.Add(new DataPoint(235, 179.432933300749));
areaSeries1.Points.Add(new DataPoint(237.5, 181.400180771342));
areaSeries1.Points.Add(new DataPoint(240, 183.232300309899));
areaSeries1.Points.Add(new DataPoint(242.5, 185.225502661441));
areaSeries1.Points.Add(new DataPoint(245, 186.979590140413));
areaSeries1.Points.Add(new DataPoint(247.5, 188.816640077725));
areaSeries1.Title = "Maximum/Minimum";
plotModel1.Series.Add(areaSeries1);
var lineSeries1 = new LineSeries
{
Color = OxyColors.Blue,
MarkerFill = OxyColors.Transparent,
DataFieldX = "Time",
DataFieldY = "Value"
};
lineSeries1.Points.Add(new DataPoint(0, -0.011447056784037));
lineSeries1.Points.Add(new DataPoint(2.5, 0.179770542275985));
lineSeries1.Points.Add(new DataPoint(5, 0.6808537498493));
lineSeries1.Points.Add(new DataPoint(7.5, 1.31859300249191));
lineSeries1.Points.Add(new DataPoint(10, 2.24910068311687));
lineSeries1.Points.Add(new DataPoint(12.5, 3.11980453160117));
lineSeries1.Points.Add(new DataPoint(15, 3.71247338983811));
lineSeries1.Points.Add(new DataPoint(17.5, 4.39481795774531));
lineSeries1.Points.Add(new DataPoint(20, 5.02439428524784));
lineSeries1.Points.Add(new DataPoint(22.5, 5.87249472528812));
lineSeries1.Points.Add(new DataPoint(25, 6.97260592555283));
lineSeries1.Points.Add(new DataPoint(27.5, 7.91976631331247));
lineSeries1.Points.Add(new DataPoint(30, 8.71294011569719));
lineSeries1.Points.Add(new DataPoint(32.5, 9.82998408944345));
lineSeries1.Points.Add(new DataPoint(35, 11.208899776828));
lineSeries1.Points.Add(new DataPoint(37.5, 12.7442103374955));
lineSeries1.Points.Add(new DataPoint(40, 14.0180206081681));
lineSeries1.Points.Add(new DataPoint(42.5, 15.1195629875034));
lineSeries1.Points.Add(new DataPoint(45, 16.4612081950815));
lineSeries1.Points.Add(new DataPoint(47.5, 17.5118421203978));
lineSeries1.Points.Add(new DataPoint(50, 18.4226816405881));
lineSeries1.Points.Add(new DataPoint(52.5, 19.344752313753));
lineSeries1.Points.Add(new DataPoint(55, 20.47048124027));
lineSeries1.Points.Add(new DataPoint(57.5, 21.8032585135211));
lineSeries1.Points.Add(new DataPoint(60, 23.4655788326243));
lineSeries1.Points.Add(new DataPoint(62.5, 24.9628808265612));
lineSeries1.Points.Add(new DataPoint(65, 26.7799264178984));
lineSeries1.Points.Add(new DataPoint(67.5, 28.8753610496295));
lineSeries1.Points.Add(new DataPoint(70, 30.9831304948466));
lineSeries1.Points.Add(new DataPoint(72.5, 33.1557418763199));
lineSeries1.Points.Add(new DataPoint(75, 35.1392386567962));
lineSeries1.Points.Add(new DataPoint(77.5, 37.3626727617638));
lineSeries1.Points.Add(new DataPoint(80, 39.7822682973613));
lineSeries1.Points.Add(new DataPoint(82.5, 42.0505038654434));
lineSeries1.Points.Add(new DataPoint(85, 44.3977945883283));
lineSeries1.Points.Add(new DataPoint(87.5, 47.0524522387201));
lineSeries1.Points.Add(new DataPoint(90, 49.8186190205946));
lineSeries1.Points.Add(new DataPoint(92.5, 52.8980099892933));
lineSeries1.Points.Add(new DataPoint(95, 55.9174513617612));
lineSeries1.Points.Add(new DataPoint(97.5, 58.9513015195966));
lineSeries1.Points.Add(new DataPoint(100, 61.7974952408334));
lineSeries1.Points.Add(new DataPoint(102.5, 64.738330780104));
lineSeries1.Points.Add(new DataPoint(105, 67.4211349969828));
lineSeries1.Points.Add(new DataPoint(107.5, 69.8712285745755));
lineSeries1.Points.Add(new DataPoint(110, 72.0935083678195));
lineSeries1.Points.Add(new DataPoint(112.5, 74.0991599504599));
lineSeries1.Points.Add(new DataPoint(115, 76.3529601655682));
lineSeries1.Points.Add(new DataPoint(117.5, 78.3984034376212));
lineSeries1.Points.Add(new DataPoint(120, 80.2446080657163));
lineSeries1.Points.Add(new DataPoint(122.5, 82.0166768951652));
lineSeries1.Points.Add(new DataPoint(125, 84.0836307024042));
lineSeries1.Points.Add(new DataPoint(127.5, 86.002041560459));
lineSeries1.Points.Add(new DataPoint(130, 88.2007526944628));
lineSeries1.Points.Add(new DataPoint(132.5, 90.2149178416771));
lineSeries1.Points.Add(new DataPoint(135, 92.4969469740507));
lineSeries1.Points.Add(new DataPoint(137.5, 94.5261970891274));
lineSeries1.Points.Add(new DataPoint(140, 96.875636035961));
lineSeries1.Points.Add(new DataPoint(142.5, 99.3532051177711));
lineSeries1.Points.Add(new DataPoint(145, 101.798603562731));
lineSeries1.Points.Add(new DataPoint(147.5, 104.167851405622));
lineSeries1.Points.Add(new DataPoint(150, 106.272973097546));
lineSeries1.Points.Add(new DataPoint(152.5, 108.627298327525));
lineSeries1.Points.Add(new DataPoint(155, 111.142220874895));
lineSeries1.Points.Add(new DataPoint(157.5, 113.39323598067));
lineSeries1.Points.Add(new DataPoint(160, 115.418603686089));
lineSeries1.Points.Add(new DataPoint(162.5, 117.504522115157));
lineSeries1.Points.Add(new DataPoint(165, 119.739599898383));
lineSeries1.Points.Add(new DataPoint(167.5, 121.732281108169));
lineSeries1.Points.Add(new DataPoint(170, 123.916863232882));
lineSeries1.Points.Add(new DataPoint(172.5, 125.845349591829));
lineSeries1.Points.Add(new DataPoint(175, 127.837813666155));
lineSeries1.Points.Add(new DataPoint(177.5, 129.769825293343));
lineSeries1.Points.Add(new DataPoint(180, 131.745076660018));
lineSeries1.Points.Add(new DataPoint(182.5, 133.655644406055));
lineSeries1.Points.Add(new DataPoint(185, 135.556597036476));
lineSeries1.Points.Add(new DataPoint(187.5, 137.637454717438));
lineSeries1.Points.Add(new DataPoint(190, 139.789876077902));
lineSeries1.Points.Add(new DataPoint(192.5, 141.856918632941));
lineSeries1.Points.Add(new DataPoint(195, 144.210416242951));
lineSeries1.Points.Add(new DataPoint(197.5, 146.438890474634));
lineSeries1.Points.Add(new DataPoint(200, 148.432012631876));
lineSeries1.Points.Add(new DataPoint(202.5, 150.354530130282));
lineSeries1.Points.Add(new DataPoint(205, 152.283573865743));
lineSeries1.Points.Add(new DataPoint(207.5, 154.350769505022));
lineSeries1.Points.Add(new DataPoint(210, 156.322715249645));
lineSeries1.Points.Add(new DataPoint(212.5, 158.220287512602));
lineSeries1.Points.Add(new DataPoint(215, 160.239688355634));
lineSeries1.Points.Add(new DataPoint(217.5, 162.161841185327));
lineSeries1.Points.Add(new DataPoint(220, 164.135674956621));
lineSeries1.Points.Add(new DataPoint(222.5, 166.004863421039));
lineSeries1.Points.Add(new DataPoint(225, 167.640597222485));
lineSeries1.Points.Add(new DataPoint(227.5, 168.928940251669));
lineSeries1.Points.Add(new DataPoint(230, 170.552868003446));
lineSeries1.Points.Add(new DataPoint(232.5, 172.399869402056));
lineSeries1.Points.Add(new DataPoint(235, 174.346163347851));
lineSeries1.Points.Add(new DataPoint(237.5, 176.33268720905));
lineSeries1.Points.Add(new DataPoint(240, 178.153302327545));
lineSeries1.Points.Add(new DataPoint(242.5, 180.100497714128));
lineSeries1.Points.Add(new DataPoint(245, 181.831839179449));
lineSeries1.Points.Add(new DataPoint(247.5, 183.611763662664));
lineSeries1.Title = "Average";
plotModel1.Series.Add(lineSeries1);
return plotModel1;
}
public static PlotModel FilteringInvalidPointsLog()
{
var plot = new PlotModel("Filtering invalid points on logarithmic axes");
plot.Axes.Add(new LogarithmicAxis(AxisPosition.Bottom, "X-axis"));
plot.Axes.Add(new LogarithmicAxis(AxisPosition.Left, "Y-axis"));
var ls = new LineSeries();
ls.Points.Add(new DataPoint(double.NaN, double.NaN));
ls.Points.Add(new DataPoint(1, 1));
ls.Points.Add(new DataPoint(10, 10));
ls.Points.Add(new DataPoint(0, 20));
ls.Points.Add(new DataPoint(100, 2));
ls.Points.Add(new DataPoint(1000, 12));
ls.Points.Add(new DataPoint(4.5, 0));
ls.Points.Add(new DataPoint(10000, 4));
ls.Points.Add(new DataPoint(100000, 14));
ls.Points.Add(new DataPoint(double.NaN, double.NaN));
ls.Points.Add(new DataPoint(1000000, 5));
ls.Points.Add(new DataPoint(double.NaN, double.NaN));
plot.Series.Add(ls);
return plot;
}
public static PlotModel SmoothLine()
{
var model = new PlotModel("Smooth Line") { LegendSymbolLength = 24 };
var s1 = new LineSeries("Series 1")
{
Color = OxyColors.Purple,
MarkerType = MarkerType.Circle,
MarkerSize = 4,
MarkerStroke = OxyColors.White,
MarkerFill = OxyColors.Purple,
MarkerStrokeThickness = 1.0,
Smooth = true
};
s1.Points.Add(new DataPoint(0, 10));
s1.Points.Add(new DataPoint(10, 5));
s1.Points.Add(new DataPoint(20, 1));
s1.Points.Add(new DataPoint(30, 20));
model.Series.Add(s1);
s1 = new LineSeries("Series 2 - tracker")
{
Color = OxyColors.OrangeRed,
MarkerType = MarkerType.Diamond,
MarkerSize = 4,
MarkerStroke = OxyColors.WhiteSmoke,
MarkerFill = OxyColors.OrangeRed,
MarkerStrokeThickness = 1.0,
Smooth = true
};
s1.Points.Add(new DataPoint(0, 15));
s1.Points.Add(new DataPoint(3, 23));
s1.Points.Add(new DataPoint(9, 30));
s1.Points.Add(new DataPoint(20, 12));
s1.Points.Add(new DataPoint(30, 10));
model.Series.Add(s1);
s1.CanTrackerInterpolatePoints = true;
return model;
}
public static PlotModel FilteringPointsOutsideRange()
{
var plot = new PlotModel("Filtering points outside (-1,1)");
plot.Axes.Add(new LinearAxis(AxisPosition.Bottom, "X-axis") { FilterMinValue=-1, FilterMaxValue=1});
plot.Axes.Add(new LinearAxis(AxisPosition.Left, "Y-axis") { FilterMinValue = -1, FilterMaxValue = 1 });
var ls = new LineSeries();
for (double i = 0; i < 200;i+=0.01)
ls.Points.Add(new DataPoint(0.01*i*Math.Sin(i), 0.01*i*Math.Cos(i)));
plot.Series.Add(ls);
return plot;
}
private void bw_ProgressChanged(object sender, ProgressChangedEventArgs e)
{
#region avg requests sent
var ls = new LineSeries("tmp");
if (lineoxysum.ItemsSource == null)
ls.Points = new List<IDataPoint>();
else
{
foreach (DataPoint point in lineoxysum.ItemsSource)
{
ls.Points.Add(new DataPoint(point.X, point.Y));
}
}
int pointcount = ls.Points.Count;
double nextpoint = pointcount > 0 ? ls.Points.Max(p => p.X) + 1 : 1;
if (pointcount == 100)
ls.Points.RemoveAt(0);
ls.Points.Add(new DataPoint(nextpoint, e.ProgressPercentage));
lineoxysum.ItemsSource = ls.Points;
labelMax.Content = ls.Points.Count > 0 ? ls.Points.Max(p => Math.Abs(p.Y)).ToString("F2") : "0";
lbCurrReqValue.Content = ls.Points.Last().Y.ToString("F2");
#endregion
#region Avg home response time
double avg = 0;
if (requestTotal > 0)
avg = (((double)totalTimeHome / (((double)requestTotal) / 2d)) / 1000d);
ls = new LineSeries("tmp");
if (lineoxyavgH.ItemsSource == null)
ls.Points = new List<IDataPoint>();
else
{
foreach (DataPoint point in lineoxyavgH.ItemsSource)
{
ls.Points.Add(new DataPoint(point.X, point.Y));
}
}
pointcount = ls.Points.Count;
nextpoint = pointcount > 0 ? ls.Points.Max(p => p.X) + 1 : 1;
if (pointcount == 100)
ls.Points.RemoveAt(0);
ls.Points.Add(new DataPoint(nextpoint, avg));
lineoxyavgH.ItemsSource = ls.Points;
lbAvgHomeTimeValue.Content = avg.ToString("F2");
#endregion
#region Avg search response time
lbCurrReqValue.Content = ls.Points.Last().Y.ToString("F2");
avg = 0;
if (requestTotal > 0)
avg = (((double)totalTimeSearch / (((double)requestTotal)/2d)) / 1000d);
ls = new LineSeries("tmp");
if (lineoxyavgS.ItemsSource == null)
ls.Points = new List<IDataPoint>();
else
{
foreach (DataPoint point in lineoxyavgS.ItemsSource)
{
ls.Points.Add(new DataPoint(point.X, point.Y));
}
}
pointcount = ls.Points.Count;
nextpoint = pointcount > 0 ? ls.Points.Max(p => p.X) + 1 : 1;
if (pointcount == 100)
ls.Points.RemoveAt(0);
ls.Points.Add(new DataPoint(nextpoint, avg));
lineoxyavgS.ItemsSource = ls.Points;
#endregion
#region Requests sent to home
/*
* Line series sent to home
* */
ls = new LineSeries("tmp");
ls.Title = "Requests sent";
ls.Color = OxyColors.DarkMagenta;
if (lineoxyhome.ItemsSource == null)
ls.Points = new List<IDataPoint>();
else
{
foreach (DataPoint point in lineoxyhome.ItemsSource)
{
ls.Points.Add(new DataPoint(point.X, point.Y));
}
}
pointcount = ls.Points.Count;
nextpoint = pointcount > 0 ? ls.Points.Max(p => p.X) + 1 : 1;
if (pointcount == 100)
ls.Points.RemoveAt(0);
ls.Points.Add(new DataPoint(nextpoint, requestsSentToSearch));
lineoxyhome.ItemsSource = ls.Points;
lbNbRequestsSentValue.Content = requestsSentToSearch;
#endregion
#region Requests received from home
/*
* Line series received from home
* */
ls = new LineSeries("tmp");
ls.Title = "Requests received from home";
ls.Color = OxyColors.AliceBlue;
if (lineoxyreceivehome.ItemsSource == null)
ls.Points = new List<IDataPoint>();
else
{
foreach (DataPoint point in lineoxyreceivehome.ItemsSource)
{
ls.Points.Add(new DataPoint(point.X, point.Y));
}
}
pointcount = ls.Points.Count;
nextpoint = pointcount > 0 ? ls.Points.Max(p => p.X) + 1 : 1;
if (pointcount == 100)
ls.Points.RemoveAt(0);
ls.Points.Add(new DataPoint(nextpoint, requestsReceivedFromHome));
lineoxyreceivehome.ItemsSource = ls.Points;
lbNbResponseFromHomeValue.Content = requestsReceivedFromHome;
#endregion
#region Requests received from home
/*
* Line series received from search
* */
ls = new LineSeries("tmp");
if (lineoxyreceivesearch.ItemsSource == null)
ls.Points = new List<IDataPoint>();
else
{
foreach (DataPoint point in lineoxyreceivesearch.ItemsSource)
{
ls.Points.Add(new DataPoint(point.X, point.Y));
}
}
pointcount = ls.Points.Count;
nextpoint = pointcount > 0 ? ls.Points.Max(p => p.X) + 1 : 1;
if (pointcount == 100)
ls.Points.RemoveAt(0);
ls.Points.Add(new DataPoint(nextpoint, requestsReceivedFromSearch));
lineoxyreceivesearch.ItemsSource = ls.Points;
lbNbResponseFromSearchValue.Content = requestsReceivedFromSearch;
#endregion
MasterPlot.RefreshPlot(true);
PlotRequestsSent.RefreshPlot(true);
labelFailed.Content = requestFailed;
lbTiemoutRequestValue.Content = requestTimeout;
}
public static PlotModel RectangleAnnotationsHorizontals()
{
var model = new PlotModel("RectangleAnnotation - horizontal bands");
model.Axes.Add(new LinearAxis(AxisPosition.Bottom, 0, 10));
model.Axes.Add(new LinearAxis(AxisPosition.Left, 87, 97) { MajorStep = 1, MinorStep = 1 });
model.Annotations.Add(new RectangleAnnotation { MinimumY = 89.5, MaximumY = 90.8, Text = "Invalid", Fill = OxyColors.Red.ChangeAlpha(99) });
model.Annotations.Add(new RectangleAnnotation { MinimumY = 90.8, MaximumY = 92.1, Fill = OxyColors.Orange.ChangeAlpha(99) });
model.Annotations.Add(new RectangleAnnotation { MinimumY = 92.1, MaximumY = 94.6, Fill = OxyColors.Yellow.ChangeAlpha(99) });
model.Annotations.Add(new RectangleAnnotation { MinimumY = 94.6, MaximumY = 96, Text = "Ok", Fill = OxyColors.Green.ChangeAlpha(99) });
LineSeries series1;
model.Series.Add(series1 = new LineSeries { Color = OxyColors.Black, StrokeThickness = 6.0, LineJoin = OxyPenLineJoin.Round });
series1.Points.Add(new DataPoint(0.5, 90.7));
series1.Points.Add(new DataPoint(1.5, 91.2));
series1.Points.Add(new DataPoint(2.5, 91));
series1.Points.Add(new DataPoint(3.5, 89.5));
series1.Points.Add(new DataPoint(4.5, 92.5));
series1.Points.Add(new DataPoint(5.5, 93.1));
series1.Points.Add(new DataPoint(6.5, 94.5));
series1.Points.Add(new DataPoint(7.5, 95.5));
series1.Points.Add(new DataPoint(8.5, 95.7));
series1.Points.Add(new DataPoint(9.5, 96.0));
return model;
}
public static PlotModel ComplexSmoothLine()
{
var model = new PlotModel("Complex Smooth Lines");
var s1 = new LineSeries("Series 1") { Smooth = true };
s1.Points.Add(new DataPoint(-0.03, 22695655));
s1.Points.Add(new DataPoint(-0.02, 34005991));
s1.Points.Add(new DataPoint(-0.01, 40209650));
s1.Points.Add(new DataPoint(0, 41306630));
s1.Points.Add(new DataPoint(0.01, 37296932));
s1.Points.Add(new DataPoint(0.02, 28180557));
s1.Points.Add(new DataPoint(0.03, 13957503));
model.Series.Add(s1);
return model;
}
private static PlotModel CreateModel(string title, int n = 20)
{
var model = new PlotModel(title);
for (int i = 1; i <= n; i++)
{
var s = new LineSeries("Series " + i);
model.Series.Add(s);
for (double x = 0; x < 2 * Math.PI; x += 0.1)
s.Points.Add(new DataPoint(x, Math.Sin(x * i) / (i + 1) + i));
}
return model;
}
public void OnDataChanged()
{
if(DrawCost && DrawDistance)
throw new Exception("Only one of the values can be drawn at once, 'cost' or 'distance'.");
double[][] matrixValues = null;
if(DrawCost)
matrixValues = Dtw.GetCostMatrix();
if (DrawDistance)
matrixValues = Dtw.GetDistanceMatrix();
var dtwPath = Dtw.GetPath();
var xLength = Dtw.XLength;
var yLength = Dtw.YLength;
var cost = Dtw.GetCost();
var costNormalized = Dtw.GetCost() / Math.Sqrt(xLength * xLength + yLength * yLength);
var plotModel = new PlotModel(String.Format("Dtw norm by length: {0:0.00}, total: {1:0.00}", costNormalized, cost))
{
LegendTextColor = DrawCost || DrawDistance ? OxyColors.White : OxyColors.Black,
};
if (matrixValues != null)
{
var maxMatrixValue = 0.0;
for (int i = 0; i < xLength; i++)
for (int j = 0; j < yLength; j++)
maxMatrixValue = Math.Max(maxMatrixValue, Double.IsPositiveInfinity(matrixValues[i][j]) ? 0 : matrixValues[i][j]);
for (int i = 0; i < xLength; i++)
for (int j = 0; j < yLength; j++)
{
var value = matrixValues[i][j];
var isValuePositiveInfinity = Double.IsPositiveInfinity(value);
var intensityBytes = isValuePositiveInfinity ? new byte[] { 0, 0, 0 } : GetFauxColourRgbIntensity(value, 0, maxMatrixValue);
//var intensityByte = (byte)(255 - Math.Floor(255 * intensity));
plotModel.Annotations.Add(new PolygonAnnotation
{
Points =
new[]
{
new DataPoint(i - 0.5, j - 0.5), new DataPoint(i + 0.5, j - 0.5),
new DataPoint(i + 0.5, j + 0.5), new DataPoint(i - 0.5, j + 0.5),
},
StrokeThickness = 0,
Selectable = false,
Layer = AnnotationLayer.BelowAxes,
Fill = OxyColor.FromArgb(255, intensityBytes[0], intensityBytes[1], intensityBytes[2]),
});
}
for (int i = 0; i < 30; i++)
{
var intensityBytes = GetFauxColourRgbIntensity(i, 0, 29);
plotModel.Annotations.Add(new RectangleAnnotation
{
MinimumX = -39,
MaximumX = -25,
MinimumY = -i - 6,
MaximumY = -i - 5,
Selectable = false,
Fill = OxyColor.FromArgb(255, intensityBytes[0], intensityBytes[1], intensityBytes[2])
});
}
plotModel.Annotations.Add(new TextAnnotation
{
Position = new DataPoint(-24, -5),
HorizontalAlignment = HorizontalTextAlign.Left,
VerticalAlignment = VerticalTextAlign.Middle,
StrokeThickness = 0,
Text = "0"
});
plotModel.Annotations.Add(new TextAnnotation
{
Position = new DataPoint(-24, -34),
HorizontalAlignment = HorizontalTextAlign.Left,
VerticalAlignment = VerticalTextAlign.Middle,
StrokeThickness = 0,
Text = String.Format("{0:0.00}", maxMatrixValue),
});
}
var matrixPathSeries = new LineSeries("Path")
{
StrokeThickness = 1,
Color = OxyColors.Red,
};
for (int i = 0; i < dtwPath.Length; i++)
matrixPathSeries.Points.Add(new DataPoint(dtwPath[i].Item1, dtwPath[i].Item2));
plotModel.Series.Add(matrixPathSeries);
var seriesMatrixScale = (xLength + yLength) * 0.05;
for (int variableIndex = 0; variableIndex < Dtw.SeriesVariables.Length; variableIndex++)
{
var variableA = Dtw.SeriesVariables[variableIndex];
var variableASeries = variableA.OriginalXSeries;
var variableB = Dtw.SeriesVariables[variableIndex];
var variableBSeries = variableB.OriginalYSeries;
var minSeriesA = variableASeries.Min();
var maxSeriesA = variableASeries.Max();
var normalizedSeriesA = variableASeries.Select(x => (x - minSeriesA) / (maxSeriesA - minSeriesA)).ToList();
var matrixSeriesA = new LineSeries(variableA.VariableName);
for (int i = 0; i < normalizedSeriesA.Count; i++)
matrixSeriesA.Points.Add(new DataPoint(i, (-1 + normalizedSeriesA[i]) * seriesMatrixScale - 1 - seriesMatrixScale * (variableIndex + 1)));
plotModel.Series.Add(matrixSeriesA);
var minSeriesB = variableBSeries.Min();
var maxSeriesB = variableBSeries.Max();
var normalizedSeriesB = variableBSeries.Select(x => (x - minSeriesB) / (maxSeriesB - minSeriesB)).ToList();
var matrixSeriesB = new LineSeries(variableB.VariableName);
for (int i = 0; i < normalizedSeriesB.Count; i++)
matrixSeriesB.Points.Add(new DataPoint( -normalizedSeriesB[i] * seriesMatrixScale - 1 - seriesMatrixScale * (variableIndex + 1), i));
plotModel.Series.Add(matrixSeriesB);
}
plotModel.Axes.Add(new LinearAxis(AxisPosition.Bottom, " Series A") { Maximum = Math.Max(xLength, yLength), PositionAtZeroCrossing = true});
plotModel.Axes.Add(new LinearAxis(AxisPosition.Left, " Series B") { Maximum = Math.Max(xLength, yLength), PositionAtZeroCrossing = true });
MatrixPlot.Model = plotModel;
}
public static PlotModel InvisibleLineSeries()
{
var model = new PlotModel("Invisible LineSeries");
var s1 = new LineSeries("Series 1");
s1.Points.Add(new DataPoint(0, 10));
s1.Points.Add(new DataPoint(10, 40));
var s2 = new LineSeries("Series 2") { IsVisible = false };
s2.Points.Add(new DataPoint(40, 20));
s2.Points.Add(new DataPoint(60, 30));
model.Series.Add(s1);
model.Series.Add(s2);
return model;
}
public static PlotModel DateTimeaxisPlotModel()
{
var start = new DateTime(2010, 01, 01);
var end = new DateTime(2015, 01, 01);
double increment = 3600 * 24 * 14;
// Create a random data collection
var r = new Random();
var data = new Collection<DateValue>();
var date = start;
while (date <= end)
{
data.Add(new DateValue { Date = date, Value = r.NextDouble() });
date = date.AddSeconds(increment);
}
var plotModel1 = new PlotModel("DateTime axis");
var dateTimeAxis1 = new DateTimeAxis
{
CalendarWeekRule = CalendarWeekRule.FirstFourDayWeek,
FirstDayOfWeek = DayOfWeek.Monday,
Position = AxisPosition.Bottom
};
plotModel1.Axes.Add(dateTimeAxis1);
var linearAxis1 = new LinearAxis();
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 = "Date",
DataFieldY = "Value",
ItemsSource = data
};
plotModel1.Series.Add(lineSeries1);
return plotModel1;
}
public Form1()
{
InitializeComponent();
button2_Disconnect.Enabled = false;
checkBox2MedianChart.Checked = true;
textBox1Delay.Text = "1000"; //microcontroller default sampling interval 1000 ms
PlotVariables.linearAxisX.Title = "Sample number";
PlotVariables.linearAxisX.Position = AxisPosition.Bottom;
PlotVariables.linearAxisX.MajorGridlineColor = OxyColor.FromArgb(40, 0, 0, 139);
PlotVariables.linearAxisX.MajorGridlineStyle = LineStyle.Solid;
PlotVariables.linearAxisX.MinorGridlineColor = OxyColor.FromArgb(20, 0, 0, 139);
PlotVariables.linearAxisX.MinorGridlineStyle = LineStyle.Solid;
PlotVariables.linearAxisX.Maximum = 40;
PlotVariables.linearAxisX.Minimum = 0;
//PlotVariables.linearAxisX.IsZoomEnabled = false;
//PlotVariables.linearAxisX.IsPanEnabled = false;
PlotVariables.pm.Axes.Add(PlotVariables.linearAxisX);
PlotVariables.linearAxisXTop.Title = "Time";
PlotVariables.linearAxisXTop.Position = AxisPosition.Top;
PlotVariables.linearAxisXTop.MajorGridlineColor = OxyColor.FromArgb(40, 255, 0, 139);
PlotVariables.linearAxisXTop.MajorGridlineStyle = LineStyle.Solid;
PlotVariables.linearAxisXTop.MinorGridlineColor = OxyColor.FromArgb(20, 255, 0, 139);
PlotVariables.linearAxisXTop.MinorGridlineStyle = LineStyle.Solid;
PlotVariables.linearAxisXTop.Maximum = 40;
PlotVariables.linearAxisXTop.Minimum = 0;
PlotVariables.pm.Axes.Add(PlotVariables.linearAxisXTop);
PlotVariables.linearAxisY.Title = "Temperature [°C]";
PlotVariables.linearAxisY.Position = AxisPosition.Left;
PlotVariables.linearAxisY.MajorGridlineColor = OxyColor.FromArgb(40, 0, 0, 139);
PlotVariables.linearAxisY.MajorGridlineStyle = LineStyle.Solid;
PlotVariables.linearAxisY.MinorGridlineColor = OxyColor.FromArgb(20, 0, 0, 139);
PlotVariables.linearAxisY.MinorGridlineStyle = LineStyle.Solid;
PlotVariables.linearAxisY.Maximum = 35;
PlotVariables.linearAxisY.Minimum = 15;
//PlotVariables.linearAxisY.IsZoomEnabled = false;
//PlotVariables.linearAxisY.IsPanEnabled = false;
PlotVariables.pm.Axes.Add(PlotVariables.linearAxisY);
PlotVariables.areaSeries1.DataFieldX2 = "Sample number";
PlotVariables.areaSeries1.DataFieldY2 = "3*Standard deviation-Current temperature";
PlotVariables.areaSeries1.Fill = OxyColors.LightBlue;
PlotVariables.areaSeries1.Color = OxyColors.Red;
PlotVariables.areaSeries1.StrokeThickness = 0;
PlotVariables.areaSeries1.DataFieldX = "Sample number";
PlotVariables.areaSeries1.DataFieldY = "3*Standard deviation+Current temperature";
PlotVariables.areaSeries1.Title = "± 3*\u03C3 area"; //http://www.fileformat.info/info/unicode/char/03c3/index.htm
PlotVariables.pm.Series.Add(PlotVariables.areaSeries1);
//temperature
this.lineSeries1 = new LineSeries();
this.lineSeries1.Color = OxyColor.FromArgb(255, 78, 154, 6);
this.lineSeries1.MarkerFill = OxyColor.FromArgb(255, 255, 255, 255);
this.lineSeries1.MarkerStroke = OxyColors.ForestGreen;
this.lineSeries1.MarkerStrokeThickness = 2;
this.lineSeries1.MarkerType = MarkerType.Square;
this.lineSeries1.MarkerSize = 2;
this.lineSeries1.StrokeThickness = 2;
this.lineSeries1.DataFieldX = "Sample";
this.lineSeries1.DataFieldY = "Value";
this.lineSeries1.Title = "Current temperature";
PlotVariables.pm.Series.Add(this.lineSeries1);
//mean
this.lineSeries2Mean = new LineSeries();
this.lineSeries2Mean.Color = OxyColor.FromArgb(255, 255, 0, 0);
this.lineSeries2Mean.MarkerFill = OxyColor.FromArgb(255, 255, 255, 255);
this.lineSeries2Mean.MarkerStroke = OxyColors.ForestGreen;
this.lineSeries2Mean.MarkerStrokeThickness = 2;
this.lineSeries2Mean.MarkerType = MarkerType.None;
this.lineSeries2Mean.MarkerSize = 1;
this.lineSeries2Mean.StrokeThickness = 1;
this.lineSeries2Mean.DataFieldX = "Sample";
this.lineSeries2Mean.DataFieldY = "Value";
this.lineSeries2Mean.Title = "Mean temperature";
PlotVariables.pm.Series.Add(this.lineSeries2Mean);
//median
this.lineSeries3Median = new LineSeries();
this.lineSeries3Median.Color = OxyColor.FromArgb(255, 0, 0, 255);
this.lineSeries3Median.MarkerFill = OxyColor.FromArgb(255, 255, 255, 255);
this.lineSeries3Median.MarkerStroke = OxyColors.ForestGreen;
this.lineSeries3Median.MarkerStrokeThickness = 2;
this.lineSeries3Median.MarkerType = MarkerType.None;
this.lineSeries3Median.MarkerSize = 1;
this.lineSeries3Median.StrokeThickness = 1;
this.lineSeries3Median.DataFieldX = "Sample";
this.lineSeries3Median.DataFieldY = "Value";
this.lineSeries3Median.Title = "Median temperature";
PlotVariables.pm.Series.Add(this.lineSeries3Median);
plot1.Model = PlotVariables.pm;
}
public static PlotModel LineLegendPositionAtEnd()
{
// http://www.perceptualedge.com/example2.php
var model = new PlotModel("Average (Mean) monthly temperatures in 2003") { PlotMargins = new OxyThickness(60, 4, 60, 40), PlotAreaBorderThickness = 0, IsLegendVisible = false };
var phoenix = new LineSeries("Phoenix") { LineLegendPosition = LineLegendPosition.End };
var raleigh = new LineSeries("Raleigh") { LineLegendPosition = LineLegendPosition.End };
var minneapolis = new LineSeries("Minneapolis") { LineLegendPosition = LineLegendPosition.End };
var phoenixTemps = new[] { 52.1, 55.1, 59.7, 67.7, 76.3, 84.6, 91.2, 89.1, 83.8, 72.2, 59.8, 52.5 };
var raleighTemps = new[] { 40.5, 42.2, 49.2, 59.5, 67.4, 74.4, 77.5, 76.5, 70.6, 60.2, 50.0, 41.2 };
var minneapolisTemps = new[] { 12.2, 16.5, 28.3, 45.1, 57.1, 66.9, 71.9, 70.2, 60.0, 50.0, 32.4, 18.6 };
for (int i = 0; i < 12; i++)
{
phoenix.Points.Add(new DataPoint(i, phoenixTemps[i]));
raleigh.Points.Add(new DataPoint(i, raleighTemps[i]));
minneapolis.Points.Add(new DataPoint(i, minneapolisTemps[i]));
}
model.Series.Add(phoenix);
model.Series.Add(raleigh);
model.Series.Add(minneapolis);
model.Axes.Add(new CategoryAxis(null, "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec") { AxislineStyle = LineStyle.Solid });
model.Axes.Add(new LinearAxis(AxisPosition.Left, "Fahrenheit") { AxislineStyle = LineStyle.Solid });
return model;
}
