public void Test_PlottablePopulations_Series()
{
// This example will display age, grouped by location.
// This example has 1 series that contains 5 population objects.
// for this example we will simulate countries by creating random data
Random rand = new Random(0);
var ages = new Population[]
{
new Population(rand, 54, 53, 5), // africa
new Population(rand, 35, 72, 3), // americas
new Population(rand, 48, 72, 4), // asia
new Population(rand, 44, 78, 2), // europe
new Population(rand, 14, 81, 1), // oceania
};
var customPlottable = new PlottablePopulations(ages, color: System.Drawing.Color.CornflowerBlue);
// plot the multi-series
var plt = new ScottPlot.Plot();
plt.Add(customPlottable);
plt.XTicks(labels: new string[] { "Africas", "Americas", "Asia", "Europe", "Oceania" });
plt.Ticks(fontSize: 18);
// additional plot styling
plt.Title("Life Expectancy in 2007", fontSize: 26);
plt.YLabel("Age (years)", fontSize: 18);
plt.Legend(location: legendLocation.lowerRight);
plt.Grid(lineStyle: LineStyle.Dot, enableVertical: false);
TestTools.SaveFig(plt);
}
public void Test_PlottablePopulations_Population()
{
// This example will display a single population: mean age of every country in europe in 2007
// This example has 1 series that contains 1 population.
// for this example we will simulate countries by creating random data
Random rand = new Random(0);
var ages = new Population(rand, 44, 78, 2);
var customPlottable = new PlottablePopulations(ages);
// plot the multi-series
var plt = new ScottPlot.Plot(400, 300);
plt.Add(customPlottable);
plt.Ticks(displayTicksX: false);
// additional plot styling
plt.Title("Life Expectancy in European Countries in 2007");
plt.YLabel("Age (years)");
plt.Legend(location: legendLocation.lowerRight);
plt.Grid(lineStyle: LineStyle.Dot, enableVertical: false);
TestTools.SaveFig(plt);
}
public static void PlotMonthlyChange(List <MonthlyClosedDifference> series, string propertyName, string folderName, string fileName)
{
// get and convert specific property of a list of objects to array of doubles
PropertyInfo prop = typeof(MonthlyClosedDifference).GetProperty(propertyName);
double[] valSeries = series.Select(x => Convert.ToDouble(prop.GetValue(x))).ToArray();
// months to x values and labels
double[] x = DataGen.Consecutive(series.Count());
string[] labels = series.Select(x => x.Month).ToArray();
var plt = new ScottPlot.Plot(1000, 700);
plt.Title(propertyName, fontName: "Segoe UI Light", color: Color.Black);
plt.Ticks(dateTimeX: false, fontName: "Cascadia Mono");
plt.Grid(xSpacing: 1);
// apply custom axis tick labels
plt.XTicks(x, labels);
// create folder if not exists
System.IO.Directory.CreateDirectory(folderName);
plt.PlotBar(x, valSeries, fillColor: Color.Orange);
plt.SaveFig($"./{folderName}/{fileName}.png");
}
public static void PlotOHLC(List <StockHistoryDay> stockHistory, string folderName, string fileName)
{
List <ScottPlot.OHLC> valSeriesList = new List <ScottPlot.OHLC>();
foreach (StockHistoryDay stockHistoryDay in stockHistory)
{
ScottPlot.OHLC ohlc = new ScottPlot.OHLC(
stockHistoryDay.Open,
stockHistoryDay.High,
stockHistoryDay.Low,
stockHistoryDay.Close,
stockHistoryDay.Date
);
valSeriesList.Add(ohlc);
}
ScottPlot.OHLC[] valSeries = valSeriesList.ToArray();
var plt = new ScottPlot.Plot(1000, 700);
plt.Title("MSFT", fontName: "Segoe UI Light", color: Color.Black);
plt.Ticks(dateTimeX: true, fontName: "Cascadia Mono");
// grids at every 7 days
plt.Grid(xSpacing: 7, xSpacingDateTimeUnit: ScottPlot.Config.DateTimeUnit.Day);
plt.SetCulture(shortDatePattern: "M\\/dd");
// create folder if not exists
System.IO.Directory.CreateDirectory(folderName);
plt.PlotOHLC(valSeries);
plt.SaveFig($"./{folderName}/{fileName}.png");
}
static public void RunJolka(List <Solver <string> > backtracks, List <Solver <string> > backtrackfws, string heuristicB = "", string heuristicBF = "", string type = "")
{
var plt = new ScottPlot.Plot(1280, 720);
List <double> xlist = new List <double>();
List <double> yfwlist = new List <double>();
List <double> ylist = new List <double>();
foreach (var el in backtrackfws)
{
xlist.Add(el.solvedPuzzle.Puzzle.id);
if (type == "time")
{
yfwlist.Add(el.solvedPuzzle.elapsed.TotalMilliseconds);
}
else
{
yfwlist.Add(el.solvedPuzzle.Puzzle.steps);
}
}
foreach (var el in backtracks)
{
if (type == "time")
{
ylist.Add(el.solvedPuzzle.elapsed.TotalMilliseconds);
}
else
{
ylist.Add(el.solvedPuzzle.Puzzle.steps);
}
}
double[] xs = xlist.ToArray();
ylist.Insert(2, (double)1);
double[] dataB = Tools.Log10(ylist.ToArray());
double[] dataBF = Tools.Log10(yfwlist.ToArray());
plt.PlotBar(xs, dataB, label: "Backtrack w/ " + heuristicB, barWidth: .3, xOffset: -0.2, showValues: true);
plt.PlotBar(xs, dataBF, label: "Backtrack with forward w/ " + heuristicBF, barWidth: .3, xOffset: 0.2, showValues: true);
plt.Title(type + " over Jolka id");
plt.Ticks(useExponentialNotation: false, useMultiplierNotation: false, logScaleY: true);
plt.Axis(y1: 0);
plt.XTicks(new string[] { "0", "1", "2", "3", "4" });
if (type == "time")
{
plt.YLabel("Execution time [10 ^ y ms]");
}
else
{
plt.YLabel("Steps [10 ^ y]");
}
plt.XLabel("Jolka ID");
plt.Legend(location: legendLocation.upperRight);
plt.SaveFig(heuristicB + heuristicBF + type + "JolkaBvsBF" + ".png");
}
public void Test_LargePlot_DateTimeAxis()
{
Random rand = new Random(0);
double[] data = DataGen.RandomWalk(rand, 100_000);
DateTime firstDay = new DateTime(2020, 1, 1);
var plt = new ScottPlot.Plot(4000, 400);
plt.PlotSignal(data, sampleRate: 60 * 24, xOffset: firstDay.ToOADate());
plt.Ticks(dateTimeX: true);
TestTools.SaveFig(plt);
}
public void Test_Layout_RotatedTicksWithRoom()
{
var plt = new ScottPlot.Plot(400, 300);
plt.PlotSignal(DataGen.Sin(51), xOffset: 1e6);
plt.PlotSignal(DataGen.Cos(51), xOffset: 1e6);
// WARNING: this resets the layout, so you must call Layout() after this
plt.XLabel("horizontal axis label");
plt.Ticks(xTickRotation: 45);
plt.Layout(xScaleHeight: 50);
TestTools.SaveFig(plt);
}
public void Test_PolygonVsScatter_Alignment()
{
double[] xs = { 75, 250, 280, 100 };
double[] ys = { -100, -75, -200, -220 };
var plt = new ScottPlot.Plot(320, 240);
plt.PlotPolygon(xs, ys, fillColor: Color.LightGreen);
plt.PlotLine(xs[0], ys[0], xs[1], ys[1], Color.Blue);
plt.Grid(false);
plt.Frame(false);
plt.Ticks(false, false);
plt.Title("Line/Scatter");
TestTools.SaveFig(plt);
}
public void Test_ScaleBar_Simple()
{
var plt = new ScottPlot.Plot(400, 300);
plt.PlotSignal(DataGen.Sin(51));
plt.PlotSignal(DataGen.Cos(51, mult: 1.5));
plt.PlotScaleBar(5, .25, "5 ms", "250 pA");
plt.Grid(false);
plt.Frame(false);
plt.Ticks(false, false);
plt.AxisAuto(0);
plt.LayoutFrameless();
TestTools.SaveFig(plt);
}
public void Test_tickFormat_timecode()
{
var plt = new ScottPlot.Plot(800, 300);
// simulate 10 seconds of audio data
int pointsPerSecond = 44100;
Random rand = new Random(0);
double[] ys = DataGen.RandomWalk(rand, pointsPerSecond * 10);
// for DateTime compatibility, sample rate must be points/day
double pointsPerDay = 24.0 * 60 * 60 * pointsPerSecond;
plt.PlotSignal(ys, sampleRate: pointsPerDay);
plt.Ticks(dateTimeX: true, dateTimeFormatStringX: "HH:mm:ss:fff");
TestTools.SaveFig(plt);
}
private string MakeGraph(string[] labels, double[] values)
{
double[] xs = DataGen.Consecutive(labels.Count());
var plt = new ScottPlot.Plot(1920, 1080);
plt.PlotBar(xs, values);
// customize the plot to make it look nicer
plt.Grid(enableVertical: false, lineStyle: LineStyle.Dot);
plt.XTicks(xs, labels);
plt.Ticks(fontSize: 25, xTickRotation: 45);
plt.Layout(yScaleWidth: 80, titleHeight: 50, xLabelHeight: 200, y2LabelWidth: 20);
string path = "graph.png";
plt.SaveFig(path);
return path;
}
public void Test_PolygonVsSignal_AlignmentWithLargeValues()
{
double[] xs = { 1e6 + 75, 1e6 + 250, 1e6 + 280, 1e6 + 100 };
double[] ys = { 1e6 - 100, 1e6 - 75, 1e6 - 200, 1e6 - 220 };
var plt = new ScottPlot.Plot(320, 240);
plt.PlotPolygon(xs, ys, fillColor: Color.LightGreen);
plt.PlotSignal(
ys: new double[] { ys[0], ys[1] },
sampleRate: 1.0 / (xs[1] - xs[0]),
xOffset: xs[0],
color: Color.Blue,
markerSize: 0
);
plt.Grid(false);
plt.Frame(false);
plt.Ticks(false, false);
plt.Title("Large Value Signal");
TestTools.SaveFig(plt);
}
static public void RunSudoku(double[] difficulty, double[] dataB, double[] dataBF, string heuristicB = "", string heuristicBF = "", string type = "")
{
var plt = new ScottPlot.Plot(1280, 720);
int pointCount = dataB.Length;
plt.PlotBar(difficulty, dataB, label: "Backtrack w/ " + heuristicB, barWidth: .3, xOffset: -0.2);
plt.PlotBar(difficulty, dataBF, label: "Backtrack with forward w/ " + heuristicBF, barWidth: .3, xOffset: 0.2);
plt.Title("Average " + type + " over sudoku difficulty");
plt.Axis(y1: 0);
if (type == "time")
{
plt.YLabel("Execution time [ms]");
}
else
{
plt.YLabel("Steps");
}
plt.XLabel("Difficulty");
plt.Legend(location: legendLocation.upperRight);
plt.Ticks(useExponentialNotation: false, useMultiplierNotation: false);
plt.SaveFig(heuristicB + heuristicBF + type + "BvsBF" + ".png");
}
public static void SetStyle(Plot existingPlot, Style style)
{
switch (style)
{
case (Style.Black):
existingPlot.Style(
figBg: Color.Black,
dataBg: Color.Black,
grid: ColorTranslator.FromHtml("#2d2d2d"),
tick: ColorTranslator.FromHtml("#757575"),
label: ColorTranslator.FromHtml("#b9b9ba"),
title: ColorTranslator.FromHtml("#FFFFFF")
);
break;
case (Style.Blue1):
existingPlot.Style(
figBg: ColorTranslator.FromHtml("#07263b"),
dataBg: ColorTranslator.FromHtml("#0b3049"),
grid: ColorTranslator.FromHtml("#0e3d54"),
tick: ColorTranslator.FromHtml("#145665"),
label: ColorTranslator.FromHtml("#b5bec5"),
title: ColorTranslator.FromHtml("#d0dae2")
);
break;
case (Style.Blue2):
existingPlot.Style(
figBg: ColorTranslator.FromHtml("#1b2138"),
dataBg: ColorTranslator.FromHtml("#252c48"),
grid: ColorTranslator.FromHtml("#2c334e"),
tick: ColorTranslator.FromHtml("#bbbdc4"),
label: ColorTranslator.FromHtml("#bbbdc4"),
title: ColorTranslator.FromHtml("#d8dbe3")
);
break;
case (Style.Blue3):
existingPlot.Style(
figBg: ColorTranslator.FromHtml("#001021"),
dataBg: ColorTranslator.FromHtml("#021d38"),
grid: ColorTranslator.FromHtml("#273c51"),
tick: ColorTranslator.FromHtml("#d3d3d3"),
label: ColorTranslator.FromHtml("#d3d3d3"),
title: ColorTranslator.FromHtml("#FFFFFF")
);
break;
case (Style.Gray1):
existingPlot.Style(
figBg: ColorTranslator.FromHtml("#31363a"),
dataBg: ColorTranslator.FromHtml("#3a4149"),
grid: ColorTranslator.FromHtml("#444b52"),
tick: ColorTranslator.FromHtml("#757a80"),
label: ColorTranslator.FromHtml("#d6d7d8"),
title: ColorTranslator.FromHtml("#FFFFFF")
);
break;
case (Style.Gray2):
existingPlot.Style(
figBg: ColorTranslator.FromHtml("#131519"),
dataBg: ColorTranslator.FromHtml("#262626"),
grid: ColorTranslator.FromHtml("#2d2d2d"),
tick: ColorTranslator.FromHtml("#757575"),
label: ColorTranslator.FromHtml("#b9b9ba"),
title: ColorTranslator.FromHtml("#FFFFFF")
);
break;
case (Style.Light1):
existingPlot.Style(
figBg: ColorTranslator.FromHtml("#FFFFFF"),
dataBg: ColorTranslator.FromHtml("#FFFFFF"),
grid: ColorTranslator.FromHtml("#ededed "),
tick: ColorTranslator.FromHtml("#7f7f7f"),
label: ColorTranslator.FromHtml("#000000"),
title: ColorTranslator.FromHtml("#000000")
);
break;
case (Style.Light2):
existingPlot.Style(
figBg: ColorTranslator.FromHtml("#e4e6ec"),
dataBg: ColorTranslator.FromHtml("#f1f3f7"),
grid: ColorTranslator.FromHtml("#e5e7ea"),
tick: ColorTranslator.FromHtml("#77787b"),
label: ColorTranslator.FromHtml("#000000"),
title: ColorTranslator.FromHtml("#000000")
);
break;
case (Style.Control):
existingPlot.Style(
figBg: SystemColors.Control,
dataBg: Color.White,
grid: Color.LightGray,
tick: Color.Black,
label: Color.Black,
title: Color.Black
);
break;
case (Style.Seaborn):
existingPlot.Style(
figBg: Color.White,
dataBg: ColorTranslator.FromHtml("#eaeaf2"),
grid: Color.White,
tick: ColorTranslator.FromHtml("#AAAAAA"),
label: Color.Black,
title: Color.Black
);
existingPlot.Frame(false);
existingPlot.Ticks(displayTicksXminor: false, displayTicksYminor: false);
break;
default:
existingPlot.Style(
figBg: Color.White,
dataBg: Color.White,
grid: Color.LightGray,
tick: Color.Black,
label: Color.Black,
title: Color.Black
);
break;
}
}
public void Test_PlottablePopulations_MultiSeries()
{
// This example will display age, grouped by location, and by year.
// This example has 3 series (years), each of which has 5 population objects (locations).
// for this example we will simulate countries by creating random data
Random rand = new Random(0);
// start by collecting series data as Population[] arrays
var ages1957 = new Population[]
{
new Population(rand, 54, 42, 4), // africa
new Population(rand, 35, 56, 6), // americas
new Population(rand, 48, 47, 5), // asia
new Population(rand, 44, 66, 2), // europe
new Population(rand, 14, 70, 1), // oceania
};
var ages1987 = new Population[]
{
new Population(rand, 54, 52, 8), // africa
new Population(rand, 35, 70, 3), // americas
new Population(rand, 48, 66, 3), // asia
new Population(rand, 44, 75, 2), // europe
new Population(rand, 14, 75, 1), // oceania
};
var ages2007 = new Population[]
{
new Population(rand, 54, 53, 5), // africa
new Population(rand, 35, 72, 3), // americas
new Population(rand, 48, 72, 4), // asia
new Population(rand, 44, 78, 2), // europe
new Population(rand, 14, 81, 1), // oceania
};
// now create a PopulationSeries object for each series
string[] groupLabels = new string[] { "Africa", "Americas", "Asia", "Europe", "Oceania" };
var series1957 = new PopulationSeries(ages1957, "1957", color: System.Drawing.Color.Red);
var series1987 = new PopulationSeries(ages1987, "1987", color: System.Drawing.Color.Green);
var series2007 = new PopulationSeries(ages2007, "2007", color: System.Drawing.Color.Blue);
// now collect all the series into a MultiSeries
var multiSeries = new PopulationSeries[] { series1957, series1987, series2007 };
var plottableMultiSeries = new PopulationMultiSeries(multiSeries);
var customPlottable = new PlottablePopulations(plottableMultiSeries);
// plot the multi-series
var plt = new ScottPlot.Plot();
plt.Add(customPlottable);
plt.XTicks(labels: groupLabels);
plt.Ticks(fontSize: 18);
// additional plot styling
plt.Title("Life Expectancy", fontSize: 26);
plt.YLabel("Age (years)", fontSize: 18);
plt.Legend(location: legendLocation.lowerRight);
plt.Grid(lineStyle: LineStyle.Dot, enableVertical: false);
TestTools.SaveFig(plt);
}
public static string chart(string pair)
{
List <string> pena = new List <string>();
System.Net.WebClient wc1 = new System.Net.WebClient();
int sum_chart = 150;
double last_price = 0;
String link_Response = wc1.DownloadString("https://www.binance.com/api/v1/klines?symbol=" + pair + "&interval=15m&limit=" + sum_chart);
MatchCollection matchList = System.Text.RegularExpressions.Regex.Matches(link_Response, @"(\d+.\d+)|\d+\d+|\d");
pena = matchList.Cast <Match>().Select(match => match.Value).ToList();
System.Threading.Thread.CurrentThread.CurrentCulture = new System.Globalization.CultureInfo("en-US");
int count = 0;
int count_draw = 0;
//Оишбка в апи hbc в конце несколкьо нулей 0 0 0 0 0
//введен костыль-переменная
ScottPlot.OHLC[] ohlcs = new ScottPlot.OHLC[sum_chart];
var plt = new ScottPlot.Plot(800, 400);
for (int i = 0; i < sum_chart; i++)
{
double Open = Convert.ToDouble(pena[count_draw + 1]);
double High = Convert.ToDouble(pena[count_draw + 2]);
double Low = Convert.ToDouble(pena[count_draw + 3]);
double Close = Convert.ToDouble(pena[count_draw + 4]);
double Opentime = ((Convert.ToDouble(pena[count_draw])) / 1000) + (3600 * 3);
ohlcs[count] = new ScottPlot.OHLC(Open, High, Low, Close, ConvertFromUnixTimestamp(Opentime), 1);
count_draw = count_draw + 12;
count++;
last_price = Close;
}
plt.Title("15 Minute Chart");
plt.YLabel("Stock Price (" + pair + ")");
plt.Ticks(dateTimeX: true, dateTimeFormatStringX: "HH:mm:ss", numericFormatStringY: "n");
plt.PlotCandlestick(ohlcs);
plt.Style(tick: Color.White, label: Color.White, title: Color.White, dataBg: Color.FromArgb(255, 36, 43, 60), grid: Color.FromArgb(255, 36, 43, 60), figBg: Color.FromArgb(255, 36, 43, 60));
DateTime date1 = new DateTime();
date1 = DateTime.Now;
string name = "PlotTypes" + pair + "№" + date1.Ticks + ".png";
string name_file = name;
string label_name = Convert.ToString(last_price);
plt.PlotHLine(y: last_price, color: Color.Green, lineWidth: 0.5, label: label_name);
plt.Legend(backColor: Color.FromArgb(255, 36, 43, 60), location: legendLocation.upperCenter);
plt.SaveFig(name_file);
return(name_file);
}