protected virtual void UpdateChartTrades <T>(List <T> newTrades, int newTradesCount, int tradesChartDisplayCount, ref ChartValues <T> tradesChart)
{
if (newTrades == null)
{
throw new ArgumentNullException(nameof(newTrades));
}
if (tradesChart == null)
{
throw new ArgumentNullException(nameof(tradesChart));
}
var tradesChartCount = tradesChart.Count;
if (tradesChartCount >= tradesChartDisplayCount)
{
// For each additional new trade remove the oldest then add the new trade
for (int i = 0; i < newTradesCount; i++)
{
tradesChart.RemoveAt(0);
tradesChart.Add(newTrades[i]);
}
}
else
{
// Get the difference between the number of trades the chart can take and the number it currently holds.
var chartDisplayTopUpTradesCount = tradesChartDisplayCount - tradesChartCount;
if (newTradesCount > chartDisplayTopUpTradesCount)
{
// There are more new trades than the chart can take.
if (chartDisplayTopUpTradesCount > 0)
{
// The top up trades can simply be added to the chart as it will take it to the total the chart can hold
var chartDisplayTopUpTrades = newTrades.Take(chartDisplayTopUpTradesCount).ToList();
tradesChart.AddRange(chartDisplayTopUpTrades);
}
for (int i = chartDisplayTopUpTradesCount; i < newTradesCount; i++)
{
// For each additional new trade remove the oldest then add the new trade
tradesChart.RemoveAt(0);
tradesChart.Add(newTrades[i]);
}
}
else
{
// Simply add new trades to current list as it wont be more than the total the chart can take.
tradesChart.AddRange(newTrades);
}
}
}
void sb_Completed(object sender, EventArgs e)
{
Console.WriteLine("Storyboard completed.\nLiczba punktow: {0}", licznik_punktow_animacji);
for (int i = licznik_punktow_animacji - 1; i < ARRAY_SIZE; i++)
{
valuesX[i] = 0;
valuesY[i] = 0;
valuesZ[i] = 0;
}
cvX.AddRange(valuesX);
cvY.AddRange(valuesY);
cvZ.AddRange(valuesZ);
}
private void btnstart_Click(object sender, RoutedEventArgs e)
{
ChartValues <double> chartDatas1 = new ChartValues <double>();
ChartValues <double> chartDatas2 = new ChartValues <double>();
var rnd = new Random();
var datas1 = Enumerable.Range(0, 100).Select(x => ( double )(x + rnd.Next(10)));
var datas2 = Enumerable.Range(0, 100).Select(x => ( double )(x / 2 + rnd.Next(5)));
chartDatas1.AddRange(datas1);
chartDatas2.AddRange(datas2);
LineSeries temp1 = new LineSeries();
LineSeries temp2 = new LineSeries();
temp1.Values = chartDatas1;
temp2.Values = chartDatas2;
temp1.DataLabels = false;
temp1.PointGeometrySize = 0;
temp1.Fill = Brushes.Transparent;
src.Add(temp1);
src.Add(temp2);
chartmain.Series = src;
// 1 : SeriesCollection
// 2 : |_ Line Sereis , Column Sereis ...
// 3: |_ Chart Data
}
private void printData()
{
cartesianChart1.AxisX.Clear();
cartesianChart1.AxisX.Add(new LiveCharts.Wpf.Axis
{
Title = "Time",
Labels = dataPreparation.dataToPrint.Keys.Select(x => x.ToShortTimeString()).ToList(),
});
cartesianChart1.Series.Clear();
var chart = new ChartValues <double>();
double[] doubleArray = new double[dataPreparation.dataToPrint.Values.Count];
dataPreparation.dataToPrint.Values.ToArray().CopyTo(doubleArray, 0);
chart.AddRange(doubleArray);
SeriesCollection series = new SeriesCollection();
series.Add(new LineSeries()
{
Title = "Value",
Values = chart,
AllowDrop = true,
PointGeometry = null
});
cartesianChart1.Hoverable = false;
cartesianChart1.DisableAnimations = true;
//cartesianChart1.DataTooltip = null;
cartesianChart1.Series = series;
}
public void AddNewSeries(IEnumerable <double> datas, IEnumerable <double> labels, string title)
{
ChartValues <double[]> chartDatas = new ChartValues <double[]>();
this.Dispatcher.BeginInvoke((Action)(() => chtLiveLine.LegendLocation = LegendLocation.Right));
var dts = datas.ToArray();
var lbls = labels.ToArray();
//dts [ 0 ] = dts [ 2 ];
//dts [ 1 ] = dts [ 2 ];
//
//ChartValues<double[]> chartDatas = new ChartValues<double[]>();
//chartDatas.AddRange(
// Enumerable.Range( 0 , datas.Count() )
// .Where( ( _ , i ) => i % 10 == 0 )
// .Select( x => new double [ 2 ] { lbls [ x ] , dts [ x ] } )
// );
var fixeddata = ClearNoise(datas.ToArray());
chartDatas.AddRange(
Range(0, fixeddata.Length)
.Where(i => i % 10 == 0)
.Select(i => new double [2] {
lbls [i], fixeddata[i]
}));
this.Dispatcher.BeginInvoke(( Action )(() => {
SeriesColl.Add(CreateSeries(chartDatas));
this.Dispatcher.BeginInvoke(( Action )(() => chtLiveLine.Series = SeriesColl));
}));
}
public void AddNewSeries(IEnumerable <double> datas, IEnumerable <double> labels)
{
chtLiveLine.LegendLocation = LegendLocation.None;
//ChartDatas.Clear();
var dts = datas.ToArray();
var lbls = labels.ToArray();
dts [0] = dts [2];
dts [1] = dts [2];
ChartValues <double[]> chartDatas = new ChartValues <double[]>();
chartDatas.AddRange(
Range(0, datas.Count())
.Where((_, i) => i % 10 == 0)
.Select(x => new double [2] {
lbls [x], dts [x]
})
);
this.Dispatcher.BeginInvoke(( Action )(() =>
{
SeriesColl.Add(CreateSeries(chartDatas));
foreach (var item in SeriesColl)
{
SeriesColl.Add(item);
}
this.Dispatcher.BeginInvoke(( Action )(() => chtLiveLine.Series = SeriesColl));
}));
}
private async Task <ChartValues <DateTimePoint> > GetData()
{
string _api_function = api_function.Text;
string _api_stock_symbol = api_stock_symbol.Text;
string _api_output_size = api_output_size.Text;
string urlParameters = string.Format("query?function={0}&symbol={1}&outputsize={2}&apikey=WPR105SZICA1KKXP", _api_function, _api_stock_symbol, _api_output_size);
Dictionary <string, Dictionary <string, string> > price = await GetData_API.RunAsync(client, urlParameters);
int size = price.Count;
var array = new DateTimePoint[size];
var values = new ChartValues <DateTimePoint>();
int i = 0;
foreach (KeyValuePair <string, Dictionary <string, string> > entry in price)
{
DateTime datetime = DateTime.Parse(entry.Key);
Double price_close = Convert.ToDouble(entry.Value["4. close"]);
array[i] = new DateTimePoint(datetime, price_close);
i += 1;
}
Array.Reverse(array);
values.AddRange(array);
return(values);
}
private void AddToLShapeChart(ComparisonRecordInfoWrapper wrappedComparisonInfo)
{
double startTime = FirstSeconds;
double endTime = _maxRecordingTime - LastSeconds;
var frametimeTimeWindow = wrappedComparisonInfo.WrappedRecordInfo.Session.GetFrametimeTimeWindow(startTime, endTime, ERemoveOutlierMethod.None);
var lShapeQuantiles = _frametimeAnalyzer.GetLShapeQuantiles();
double action(double q) => _frametimeStatisticProvider.GetPQuantileSequence(frametimeTimeWindow, q / 100);
var quantiles = lShapeQuantiles.Select(q => new ObservablePoint(q, action(q)));
var quantileValues = new ChartValues <ObservablePoint>();
quantileValues.AddRange(quantiles);
Application.Current.Dispatcher.BeginInvoke(new Action(() =>
{
ComparisonLShapeCollection.Add(
new LineSeries
{
Values = quantileValues,
Stroke = wrappedComparisonInfo.Color,
Fill = Brushes.Transparent,
StrokeThickness = 1,
LineSmoothness = 1,
PointGeometrySize = 10,
PointGeometry = DefaultGeometries.Triangle,
});
}));
}
private void AddHeatChartFromFile(Panel heatpanel, IntensityData idata)
{
LiveCharts.WinForms.CartesianChart heatchart;
heatchart = new LiveCharts.WinForms.CartesianChart();
heatchart.Size = new Size(heatSizeX, heatSizeY);
heatchart.Anchor = (AnchorStyles.Left | AnchorStyles.Right);
heatchart.Left = 0;
heatchart.Top = 50;
heatchart.DisableAnimations = true;
heatchart.Hoverable = false;
heatchart.DataTooltip = null;
ChartValues <HeatPoint> values = new ChartValues <HeatPoint>();
List <HeatPoint> buffer = new List <HeatPoint>();
for (int i = 0; i < idata.intensityData.Count(); i++)
{
Backend.Model.AggregatedData agregateddata = idata.intensityData[i];
for (int j = 0; j < agregateddata.aggregatedData.Count(); j++)
{
buffer.Add(new HeatPoint(j, i, agregateddata.aggregatedData[j]));
}
}
values.AddRange(buffer);
HeatSeries hs = new HeatSeries {
Values = values,
GradientStopCollection = gradient
};
allPanelsIntensityData.Add(new Tuple <Panel, IntensityData, HeatSeries>(heatpanel, idata, hs));
heatchart.Series.Add(hs);
heatpanel.Controls.Add(heatchart);
}
public void SetSignal(int n, DiscreteSignal Signal)
{
if (Signal == null)
{
seriesReal[n] = null;
seriesImaginary[n] = null;
return;
}
ChartValues <ObservablePoint> valuesReal = new ChartValues <ObservablePoint>();
ChartValues <ObservablePoint> valuesImaginary = new ChartValues <ObservablePoint>();
valuesReal.AddRange(
Signal.Values.Select(
tuple => new ObservablePoint {
X = tuple.X.Real, Y = tuple.Y.Real
}
)
);
valuesImaginary.AddRange(
Signal.Values.Select(
tuple => new ObservablePoint {
X = tuple.X.Real, Y = tuple.Y.Imaginary
}
)
);
seriesReal[n] = CreateSeries(n, Signal, valuesReal);
seriesImaginary[n] = CreateSeries(n, Signal, valuesImaginary);
}
public void SetSignal(int n, DiscreteSignal Signal)
{
if (Signal == null)
{
series[n] = null;
return;
}
ChartValues <ObservablePoint> values = new ChartValues <ObservablePoint>();
var aggregated = AggregateHistogram(Signal.Values);
values.AddRange(
aggregated.Select(
tuple => new ObservablePoint {
X = tuple.Item1, Y = (double)tuple.Item2
}
)
);
series[n] = new ColumnSeries
{
Title = Signal.Name,
Values = values,
MaxColumnWidth = 5.0,
Fill = ChartColors.List[n]
};
}
private void UpdateGameScoreDataSource()
{
var actualScores = _scores
.Select(s => s.ActualScore);
actualDragonPercentageLabel.Text = CalculateScorePercentageString(_dragonText, actualScores);
actualTigerPercentageLabel.Text = CalculateScorePercentageString(_tigerText, actualScores);
var betScores = _scores
.Select(s => s.BetScore);
betDragonPercentageLabel.Text = CalculateScorePercentageString(_dragonText, betScores);
betTigerPercentageLabel.Text = CalculateScorePercentageString(_tigerText, betScores);
var betResults = _scores;
var gameResults = betResults.Select((r, i) =>
{
if (string.IsNullOrEmpty(_scores[i].BetScore))
{
return(r.WinRate);
}
var betResults1 = betResults.Take(i + 1).Where(r1 => !string.IsNullOrEmpty(r1.BetScore))
.Select(r1 =>
{
r1.Result = r1.ActualScore == r1.BetScore ? _winText : _loseText;
return(r1);
});
return(r.WinRate = (int)(betResults1.Where(r1 => r1.Result == _winText).Count() / (float)betResults1.Count() * 100));
}).ToList();
_chartValues.Clear();
_chartValues.AddRange(gameResults.Select(r => r ?? double.NaN));
}
/// <summary>
/// Converts any collection to chart values
/// </summary>
/// <typeparam name="T">type to convert</typeparam>
/// <param name="values">values to convert</param>
/// <returns>a new ChartValues instance containing the passed collection</returns>
public static ChartValues <T> AsChartValues <T>(this IEnumerable <T> values)
{
var l = new ChartValues <T>();
l.AddRange(values);
return(l);
}
public MainWindow()
{
InitializeComponent();
var series = new LineSeries()
{
Title = "Barometric Pressure"
};
var data = LoadData();
var values = new ChartValues <WeatherDataRecord>();
values.AddRange(data);
series.Values = values;
var wdrXY = Mappers.Xy <WeatherDataRecord>();
wdrXY.X(wdr => wdr.Timestamp.Ticks);
wdrXY.Y(wdr => (double)wdr.BarometricPressure);
MySeriesCollection = new SeriesCollection(wdrXY)
{
series
};
DataContext = this;
Coefficient.Content = Utils.GetCoeffectient(data, new DateTime(2013, 01, 01));
}
private void SetFpsThresholdChart(IList <double> frametimes)
{
if (frametimes == null || !frametimes.Any())
{
return;
}
var thresholdCounts = _frametimeStatisticProvider.GetFpsThresholdCounts(frametimes, ThresholdToggleButtonIsChecked);
var thresholdCountValues = new ChartValues <double>();
thresholdCountValues.AddRange(thresholdCounts.Select(val => (double)val / frametimes.Count));
Application.Current.Dispatcher.Invoke(new Action(() =>
{
FPSThresholdCollection = new SeriesCollection
{
new ColumnSeries
{
Values = thresholdCountValues,
Fill = new SolidColorBrush(Color.FromRgb(34, 151, 243)),
DataLabels = true,
LabelPoint = p => (frametimes.Count * p.Y).ToString(),
MaxColumnWidth = 40
}
};
}));
}
public BasicColumn()
{
InitializeComponent();
SeriesCollection = new SeriesCollection
{
};
txt = logParser.ReadLog("D:/2019-04-16.log");
txt = logParser.FindWorkSections(txt);
points = logParser.GetPoints(txt);
currentPoints.AddRange(points[0]);
SeriesCollection.Add(new ColumnSeries
{
Title = "Opens",
Values = currentPoints
});
currentPoints = new ChartValues <int>();
currentPoints.AddRange(points[1]);
SeriesCollection.Add(new ColumnSeries
{
Title = "Closes",
Values = currentPoints
});
MakeLabels();
DataContext = this;
}
private void calculate_button_Click(object sender, RoutedEventArgs e)
{
double time_max = Double.Parse(time_sim_box.Text);
List <double> data = chamber_air.Simulate_time(time_max, Isotope.Radionuclide.Ra_226);
List <double> time_base = new List <double>();
double tics = 0;
while (tics < time_max)
{
time_base.Add(tics);
tics += chamber_air.Get_timetic();
}
ChartValues <double> radon_data = new ChartValues <double>();
radon_data.AddRange(data);
calculator_chart.Series.Clear();
calculator_chart.Series.Add(new LineSeries
{
Values = radon_data,
});
calculator_chart.AxisX.Clear();
calculator_chart.AxisX.Add(new Axis
{
MaxValue = time_max
});
}
private void loadPurchaseAndIncomeChart()
{
var purchaseChartValue = new ChartValues <decimal>();
var IncomeChartValue = new ChartValues <decimal>();
var BillAmountChartValue = new ChartValues <decimal>();
purchaseChartValue.AddRange(StatisticDataList.OrderBy(x => x.Statistic.ID).Select(x => x.Statistic.Price_purchase_total).ToList());
IncomeChartValue.AddRange(StatisticDataList.OrderBy(x => x.Statistic.ID).Select(x => x.Statistic.Income).ToList());
BillAmountChartValue.AddRange(StatisticDataList.OrderBy(x => x.Statistic.ID).Select(x => x.Statistic.Total_tax_included).ToList());
PurchaseAndIncomeSeriesCollection = new SeriesCollection
{
new LineSeries
{
Title = "Sale",
Values = BillAmountChartValue
},
new LineSeries
{
Title = "Purchase",
Values = purchaseChartValue
},
new LineSeries
{
Title = "Income",
Values = IncomeChartValue
}
};
PurchaseAndIncomeLabels = StatisticDataList.OrderBy(x => x.Statistic.ID).Select(x => x.Statistic.Bill_datetime.ToString("MMMM")).ToArray();
//Labels = new[] { "Jan", "Feb", "Mar", "Apr", "May" };
}
public void PrepareChart(IEnumerable <Product> list, string name)
{
MinPrice = list.Select(x => x.Price.GetDecimal()).Min().ToString();
MaxPrice = list.Select(x => x.Price.GetDecimal()).Max().ToString();
CalculateChangePercent(list);
InitializeComponent();
var lineSeries = new LineSeries();
lineSeries.Title = name;
var chartValues = new ChartValues <decimal>();
chartValues.AddRange(list.Select(x => x.Price.GetDecimal().Value));
lineSeries.Values = chartValues;
SeriesCollection = new SeriesCollection();
SeriesCollection.Add(lineSeries);
Labels = list.Select(x => x.CheckDate.ToShortDateString()).ToArray();
YFormatter = value => value.ToString("C");
OnPropertyChanged(nameof(SeriesCollection));
OnPropertyChanged(nameof(Labels));
OnPropertyChanged(nameof(YFormatter));
OnPropertyChanged(nameof(MaxPrice));
OnPropertyChanged(nameof(MinPrice));
}
private void AddToLShapeChart(ComparisonRecordInfoWrapper wrappedComparisonInfo)
{
double startTime = FirstSeconds;
double endTime = LastSeconds;
var frametimeTimeWindow = wrappedComparisonInfo.WrappedRecordInfo.Session.GetFrametimeTimeWindow(startTime, endTime, _appConfiguration, ERemoveOutlierMethod.None);
var lShapeQuantiles = _frametimeAnalyzer.GetLShapeQuantiles();
double action(double q) => _frametimeStatisticProvider.GetPQuantileSequence(frametimeTimeWindow, q / 100);
var quantiles = lShapeQuantiles.Select(q => new ObservablePoint(q, action(q)));
var quantileValues = new ChartValues <ObservablePoint>();
quantileValues.AddRange(quantiles);
ComparisonLShapeCollection.Add(
new LineSeries
{
Id = wrappedComparisonInfo.WrappedRecordInfo.FileRecordInfo.Id,
Values = quantileValues,
Stroke = wrappedComparisonInfo.IsHideModeSelected ? Brushes.Transparent : wrappedComparisonInfo.Color,
Fill = Brushes.Transparent,
StrokeThickness = 1,
LineSmoothness = 1,
PointGeometrySize = 5,
PointGeometry = DefaultGeometries.Square,
PointForeground = wrappedComparisonInfo.IsHideModeSelected ? Brushes.Transparent : wrappedComparisonInfo.Color,
LabelPoint = chartPoint => string.Format(CultureInfo.InvariantCulture, "{0:0.##}", chartPoint.Y, "ms")
});
}
private void ConvertData(ObservableCollection <ContinentPollution> continentPollutions)
{
List <double> tempPollution = new List <double>();
List <string> tempYears = new List <string>();
for (int i = 0; i < continentPollutions.Count; i++)
{
tempPollution.Add(continentPollutions[i].Pollution);
tempYears.Add(continentPollutions[i].Year.ToString());
}
var tempP = new ChartValues <double>();
tempP.AddRange(tempPollution);
SeriesCollection sc = new SeriesCollection
{
new LineSeries
{
Title = "Pollution",
Values = tempP
}
};
Labels = tempYears.ToArray();
ContinentPollutionData = sc;
}
public void AddToPlotdB(IEnumerable <double> x, IEnumerable <double> y, string title, int index)
{
//modifying the series collection will animate and update the chart
ChartValues <ObservablePoint> nove = new ChartValues <ObservablePoint>();
ObservablePoint[] points = new ObservablePoint[x.Count()];
for (var i = 0; i < x.Count(); ++i)
{
points[i] = new ObservablePoint {
X = x.ElementAt(i), Y = 20 * Math.Log10(y.ElementAt(i))
};
}
nove.AddRange(points);
if (SeriesCollection.Count < index + 1)
{
SeriesCollection.Add(new LineSeries());
}
SeriesCollection.CurrentSeriesIndex = index;
if (index == 0 && SeriesCollection.Count > 1)
{
SeriesCollection.RemoveAt(1);
}
SeriesCollection[index] = (new LineSeries
{
Title = title,
Values = nove.AsGearedValues().WithQuality(Quality.Medium),
LineSmoothness = 0, //0: straight lines, 1: really smooth lines
//PointGeometry = Geometry.Parse("m 25 70.36218 20 -28 -20 22 -8 -6 z"),
PointGeometry = DefaultGeometries.Circle,
PointGeometrySize = 1,
Fill = Brushes.Transparent
});
}
public void DrawChart(ref ToolStripMenuItem btn, IEnumerable <double> dataSet)
{
chartValues.Clear();
if (btn.Checked && dataSet.Count() != 0)
{
chartValues.AddRange(dataSet.Reverse().Take(360).Reverse());
}
}
private static ChartValues <ObservablePoint> GetFunctionResult(IFuzzyFunction func)
{
var result = new ChartValues <ObservablePoint>();
var points = FuzzyFunctionToChartValuesConvertor.GetValues(func);
result.AddRange(points);
return(result);
}
private void Read3()
{
// double x = 1528.5;
// double y = 6.55733501913825e-46;
float x;
float y;
List <(ushort x, ushort y)> ulist = new List <(ushort x, ushort y)>();
List <(float x, float y)> fllist = new List <(float x, float y)>();
var list = ChartValues.ToList();
while (IsReading)
{
Thread.Sleep(500);
ushort[] b = ModbusCommand.command.Operation(Getter.channel_spectral_ch1);
ulist.Add((b[0], b[1]));
x = ((float)b[0]) / 1000 + 1520;
y = Utility.GetSingle(0, b[1]);
fllist.Add((x, y));
MeasureModel m = new MeasureModel
{
ValueX = (double)x,
ValueY = (double)y
};
list.Add(m);
try
{
list = list.OrderBy(t => t.ValueX).ToList();
ChartValues.Clear();
ChartValues.AddRange(list);
}
catch (Exception e)
{
var t = e;
}
// ChartValues = v1;
//ChartValues.Add(new MeasureModel
//{
// ValueX = x,
// ValueY = y
// // DateTime = now,
// // Value = _trend
//});
// SetAxisLimits(now);
// if (ChartValues.Count > 100) ChartValues.RemoveAt(0);
}
//var x1 = fllist.Select(b => b.x);
//var y1 = fllist.Select(b => b.y);
//float maxx = x1.Max();
//float minx = x1.Min();
//float maxy = y1.Max();
//float miny = y1.Min();
}
private void createChart2()
{
var today = DateTime.Today;
var month = new DateTime(today.Year, today.Month, 1);
var lastMonth = month.AddMonths(-4);
var invoices = new double[4];
var receipts = new double[4];
var expenses = new double[4];
Labels2 = new string[4];
for (var i = 0; i < 4; i++)
{
receipts[i] = ReceiptViewModel.getTotalReceiptsMonthYear(lastMonth.Month, lastMonth.Year) + InvoiceViewModel.getPaidInvoicesbyMonthYear(lastMonth.Month, lastMonth.Year);;
invoices[i] = InvoiceViewModel.getTotalSalesMonthYear(lastMonth.Month, lastMonth.Year);
expenses[i] = ExpensesViewModel.getTotalExpensesMonthYear(lastMonth.Month, lastMonth.Year);
Labels2[i] = lastMonth.Month.ToString();
lastMonth = lastMonth.AddMonths(1);
}
var totalReceipt = new ChartValues <double>();
totalReceipt.AddRange(receipts);
var total = new ChartValues <double>();
total.AddRange(invoices);
var totalExpenses = new ChartValues <double>();
totalExpenses.AddRange(expenses);
SeriesCollection2 = new SeriesCollection
{
new ColumnSeries
{
Title = "Sales",
Values = total
},
new ColumnSeries
{
Title = "Receipts",
Values = totalReceipt
},
new ColumnSeries
{
Title = "Expenses",
Values = totalExpenses
}
};
Formatter = value => value.ToString("N");
DataContext = this;
}
//private string[] lab;
private void Update()
{
double[] stock = InfoArticulos.valoresStock;
IEnumerable <double> m = stock;
Values.AddRange(m);
Lab.AddRange(InfoArticulos.valoresFecha);
Chart.Update(true);
//DataContext = this;
//lab = InfoArticulos.valoresFecha;
}
private void SetFpsThresholdChart(IList <double> frametimes)
{
if (frametimes == null || !frametimes.Any())
{
return;
}
var thresholdCounts = _frametimeStatisticProvider.GetFpsThresholdCounts(frametimes, ThresholdToggleButtonIsChecked);
var thresholdCountValues = new ChartValues <double>();
thresholdCountValues.AddRange(thresholdCounts.Select(val => (double)val / frametimes.Count));
var thresholdTimes = _frametimeStatisticProvider.GetFpsThresholdTimes(frametimes, ThresholdToggleButtonIsChecked);
var thresholdTimesValues = new ChartValues <double>();
thresholdTimesValues.AddRange(thresholdTimes.Select(val => val / frametimes.Sum()));
Application.Current.Dispatcher.Invoke(new Action(() =>
{
if (!ShowThresholdTimes)
{
YAxisLabel = "Frames";
FPSThresholdCollection = new SeriesCollection
{
new ColumnSeries
{
Values = thresholdCountValues,
Fill = new SolidColorBrush(Color.FromRgb(34, 151, 243)),
DataLabels = true,
LabelPoint = p => ThresholdPercentageButtonIsChecked ? (frametimes.Count * p.Y).ToString() :
(100 * p.Y).ToString("N1", CultureInfo.InvariantCulture) + "%",
MaxColumnWidth = 40
}
};
}
else
{
YAxisLabel = "Time";
FPSThresholdCollection = new SeriesCollection
{
new ColumnSeries
{
Values = thresholdTimesValues,
Fill = new SolidColorBrush(Color.FromRgb(34, 151, 243)),
DataLabels = true,
LabelPoint = p => ThresholdPercentageButtonIsChecked ? ((frametimes.Sum() * p.Y) * 1E-03).ToString("N1", CultureInfo.InvariantCulture) + "s" :
(100 * p.Y).ToString("N1", CultureInfo.InvariantCulture) + "%",
MaxColumnWidth = 40
}
};
}
}));
}
public double expcalkawielomian(double a, double b, double[] poly, int v)
{
var vals = new ChartValues <ObservablePoint>();
//ofstream plik;
//string filename("nodes" + std::to_string(v));
//plik.open(filename);
double result = 0, x = 0, fx = 0;
double h = (b - a) / v;
for (int i = 0; i <= v; i++)
{
x = a + i * h;
fx = exphorner(x, poly);
vals.Add(new ObservablePoint(x, fx));
points.Add(new ObservablePoint(x, fx));
//plik << x << " " << fx << endl;
if (i == 0 || i == v)
{
result += fx;
}
else if (i % 2 != 0)
{
result += 4 * fx;
}
else
{
result += 2 * fx;
}
}
result *= (h / 3);
nodesPoints.AddRange(vals);
var pointsToAdd = nodesPoints.GroupBy(y => y.X).Where(c => c.Count() == 1).Select(z => z.First()).OrderBy(w => w.X).ToList();
values.Add(new ChartValues <ObservablePoint>(pointsToAdd));
//plik.close();
return(result);
/*double simp = 0, blad = 0, s = 0, x = 0;
* double h = (b - a) / v;
* for (int i = 1; i <= v; i++)
* {
* x = a + i * h;
* blad += exphorner(x - (h / 2), poly);
* if (i < v)
* {
* s += (exphorner(x, poly));
* }
* }
* return (h / 6)*(exphorner(a, poly) + exphorner(b, poly) + 2 * s + 4 * blad);*/
}
private async void AddButton_Click(object sender, EventArgs e)
{
addButton.Enabled = false;
var data = await Task <List <XY> > .Factory.StartNew(() => Crypto.CompareNWithTotient(_size, _size, 100, false));
var newMax = data.Max(p => p.NDouble) > ChartValues.Max(p => p.NDouble);
ChartValues.AddRange(data);
CalculateRegression();
addButton.Enabled = true;
}
public void MyAction()
{
try
{
#region Update TxtOutput
string txtSalida = string.Empty;
string txtEntrada = String.Copy(TxtInput);
string salto = "\n";
txtEntrada.Replace(salto, "");
double[] data = TxtInput.Split(';').Select(n => Convert.ToDouble(n)).ToArray();
txtSalida += "Minimum: " + data.Minimum();
txtSalida += salto + "Maximum: " + data.Maximum();
txtSalida += salto + "Count: " + data.Count();
txtSalida += salto + "Mean: " + data.Mean();
txtSalida += salto + "Median: " + data.Median();
txtSalida += salto + "Variance: " + data.Variance();
txtSalida += salto + "StandardDeviation: " + data.StandardDeviation();
txtSalida += salto + "MaximumAbsolute: " + data.MaximumAbsolute();
txtSalida += salto + "MinimumAbsolute: " + data.MinimumAbsolute();
TxtOutput = txtSalida;
#endregion
#region Update Chart Line
ChartValues<double> cv = new ChartValues<double>();
cv.AddRange(data);
var lineSerie = new LineSeries
{
Title = "Values",
Values = cv,
};
//Bug Series.clear()
while (series.Count > 0)
{
series.RemoveAt(series.Count - 1);
}
series.Add(lineSerie);
#endregion
}
catch (Exception ex)
{
MessageBox.Show("Error: " + ex.Message);
}
}
