private void UpdateTextBoxesFromAxes()
{
tbX1.Text = Math.Round(plt.Axis()[0], 4).ToString();
tbX2.Text = Math.Round(plt.Axis()[1], 4).ToString();
tbY1.Text = Math.Round(plt.Axis()[2], 4).ToString();
tbY2.Text = Math.Round(plt.Axis()[3], 4).ToString();
}
public void Render(Plot plt)
{
// generate random data to plot
Random rand = new Random(0);
int pointCount = 10;
double[] xs = DataGen.Consecutive(pointCount);
double[] ys1 = DataGen.RandomNormal(rand, pointCount, 20, 5);
double[] ys2 = DataGen.RandomNormal(rand, pointCount, 20, 5);
double[] err1 = DataGen.RandomNormal(rand, pointCount, 5, 2);
double[] err2 = DataGen.RandomNormal(rand, pointCount, 5, 2);
// add both bar plots with a careful widths and offsets
plt.PlotBar(xs, ys1, err1, "data A", barWidth: .3, xOffset: -.2);
plt.PlotBar(xs, ys2, err2, "data B", barWidth: .3, xOffset: .2);
// customize the plot to make it look nicer
plt.Axis(y1: 0);
plt.Grid(enableVertical: false, lineStyle: LineStyle.Dot);
plt.Axis(y1: 0);
plt.Legend(location: legendLocation.upperRight);
// apply custom axis tick labels
string[] labels = { "one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "ten" };
plt.XTicks(xs, labels);
}
public void Render(Plot plt)
{
// generate random data to plot
Random rand = new Random(0);
int pointCount = 10;
double[] Xs = new double[pointCount];
double[] dataA = new double[pointCount];
double[] errorA = new double[pointCount];
double[] dataB = new double[pointCount];
double[] errorB = new double[pointCount];
for (int i = 0; i < pointCount; i++)
{
Xs[i] = i * 10;
dataA[i] = rand.NextDouble() * 100;
dataB[i] = rand.NextDouble() * 100;
errorA[i] = rand.NextDouble() * 10;
errorB[i] = rand.NextDouble() * 10;
}
// add both bar plots with a careful widths and offsets
plt.PlotBar(Xs, dataA, errorY: errorA, label: "data A", barWidth: 3.2, xOffset: -2);
plt.PlotBar(Xs, dataB, errorY: errorB, label: "data B", barWidth: 3.2, xOffset: 2);
// customize the plot to make it look nicer
plt.Grid(false);
plt.Axis(null, null, 0, null);
plt.Legend();
// apply custom axis tick labels
string[] labels = { "one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "ten" };
plt.XTicks(Xs, labels);
}
public void Render(Plot plt)
{
// generate random data to plot
Random rand = new Random(0);
int pointCount = 10;
double[] Xs = new double[pointCount];
double[] dataA = new double[pointCount];
double[] errorA = new double[pointCount];
for (int i = 0; i < pointCount; i++)
{
Xs[i] = i * 10;
dataA[i] = rand.NextDouble() * 100;
errorA[i] = rand.NextDouble() * 10;
}
// make the bar plot
plt.PlotBar(Xs, dataA, errorY: errorA);
// customize the plot to make it look nicer
plt.Axis(null, null, 0, null);
plt.Grid(false);
// apply custom axis tick labels
string[] labels = { "one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "ten" };
plt.XTicks(Xs, labels);
}
public void Render(Plot plt)
{
// create some sample data
double[] xs = { 0 };
double[] valuesA = { 0x40000000 };
double[] valuesB = { 0x40100000 };
double[] valuesC = { 0xA0000000 };
// to simulate stacking B on A, shift B up by A
double[] valuesB2 = new double[valuesB.Length];
double[] valuesC2 = new double[valuesC.Length];
for (int i = 0; i < valuesB.Length; i++)
{
valuesB2[i] = valuesA[i] + valuesB[i];
valuesC2[i] = valuesC[i] + valuesB2[i];
}
// plot the bar charts in reverse order (highest first)
plt.PlotBar(xs, valuesC2, label: "Process C");
plt.PlotBar(xs, valuesB2, label: "Process B");
plt.PlotBar(xs, valuesA, label: "Process A");
// configure ticks for base 16 Y-axis
plt.Ticks(baseY: 16, prefixY: "0x");
plt.Axis(-1, 1, 0, 0x1A0000000);
// further customize the plot
plt.Ticks(displayTicksX: false, displayTicksY: true);
plt.Title("Memory Consumption");
plt.YLabel("Memory (Bytes)");
plt.Legend();
}
public void ReturnPlot(List <DateTime> timestampOfMeasures, List <double> lastMeasures, string name, double minimumValueToBeShownOnPlot, double maximumValueToBeShownOnPlot)
{
var plot = new Plot(300, 150);
int pointCount = 20;
List <double> dates = new List <double>();
List <double> ys = new List <double>();
var start = timestampOfMeasures[0];
for (int i = pointCount - lastMeasures.Count; i >= 0; i--)
{
ys.Add(0);
dates.Add(start.AddSeconds(-i * delayProvider.DelayInSeconds - 1).ToOADate());
}
List <double> convertedTimestamps = new List <double>();
List <double> timestampsOfMeasuresConvertedToADate = timestampsConverter.ConvertTimestamps(timestampOfMeasures);
convertedTimestamps.AddRange(timestampsOfMeasuresConvertedToADate);
ys.AddRange(lastMeasures);
dates.AddRange(convertedTimestamps);
plot.PlotScatter(dates.ToArray(), ys.ToArray());
plot.Ticks(dateTimeX: true);
plot.YLabel(name);
plot.Axis(y1: minimumValueToBeShownOnPlot, y2: maximumValueToBeShownOnPlot);
plot.SaveFig(@$ "..\Assets\{name}.png");
void PlotHistogram()
{
double[] values = { 0, 20, 25, 28, 39, 59 };
var his = new ScottPlot.Statistics.Histogram(values, min: 0, max: 70);
double barWidth = his.binSize * 1.2;
plt.PlotBar(his.bins, his.countsFracCurve, barWidth: barWidth, outlineWidth: 0);
plt.PlotScatter(his.bins, his.countsFracCurve, markerSize: 0, lineWidth: 2, color: Color.Black);
plt.Axis(null, null, 0, null);
}
public void InitSortedPeaksPlot(Plot sortedPeaksPlot)
{
sortedPeaksPlot.Frame(false);
sortedPeaksPlot.Style(Style.Blue2);
sortedPeaksPlot.Title("Sorted Section Strain Peaks");
sortedPeaksPlot.YLabel("Aim Strain");
sortedPeaksPlot.XLabel("Rank");
sortedPeaksPlot.Axis(x1: -0.5, x2: PEAKS_TO_DISPLAY + 0.5, y1: 0, y2: 100);
sortedPeaksPlot.Ticks(displayTicksXminor: false);
sortedPeaksPlot.Grid(xSpacing: 1);
}
public void Render(Plot plt)
{
// generate random data to plot
Random rand = new Random(0);
int pointCount = 10;
double[] xs = DataGen.Consecutive(pointCount);
double[] ys = DataGen.RandomNormal(rand, pointCount, 20, 5);
// let's round the values to simplify display
ys = Tools.Round(ys, 1);
// add both bar plot
plt.PlotBar(xs, ys, showValues: true);
// customize the plot to make it look nicer
plt.Axis(y1: 0);
plt.Grid(enableVertical: false, lineStyle: LineStyle.Dot);
plt.Axis(y1: 0);
plt.Legend();
}
private void BtnSave_Click(object sender, EventArgs e)
{
var settings = plt.GetSettings();
// vertical axis
plt.YLabel(tbYlabel.Text);
plt.Ticks(displayTicksYminor: cbYminor.Checked, dateTimeY: cbYdateTime.Checked);
double y1, y2;
double.TryParse(tbY1.Text, out y1);
double.TryParse(tbY2.Text, out y2);
plt.Axis(y1: y1, y2: y2);
// horizontal axis
plt.XLabel(tbXlabel.Text);
plt.Ticks(displayTicksXminor: cbXminor.Checked, dateTimeX: cbXdateTime.Checked);
double x1, x2;
double.TryParse(tbX1.Text, out x1);
double.TryParse(tbX2.Text, out x2);
plt.Axis(x1: x1, x2: x2);
// tick display options
plt.Ticks(useOffsetNotation: cbTicksOffset.Checked, useMultiplierNotation: cbTicksMult.Checked);
// image quality
//plt.AntiAlias(figure: rbQualityHigh.Checked, data: rbQualityHigh.Checked);
//plt.mouseTracker.lowQualityWhileInteracting = cbQualityLowWhileDragging.Checked;
// misc
plt.Grid(enable: cbGrid.Checked);
plt.Legend(enableLegend: cbLegend.Checked);
if (cbStyle.Text != "")
{
Style newStyle = (Style)Enum.Parse(typeof(Style), cbStyle.Text);
plt.Style(newStyle);
}
Close();
}
public void Render(Plot plt)
{
int pointCount = 51;
double[] x = DataGen.Consecutive(pointCount);
double[] sin = DataGen.Sin(pointCount);
double[] cos = DataGen.Cos(pointCount);
plt.PlotScatter(x, sin);
plt.PlotScatter(x, cos);
plt.Axis(-10, 60, -3, 3);
}
public void Render(Plot plt)
{
Random rand = new Random(0);
double[] values = DataGen.RandomNormal(rand, pointCount: 1000, mean: 50, stdDev: 20);
var hist = new Statistics.Histogram(values, min: 0, max: 100);
plt.PlotBar(hist.bins, hist.countsFrac);
plt.PlotScatter(hist.bins, hist.countsFracCurve, markerSize: 0, lineWidth: 2, color: Color.Black);
plt.Title("Normal Random Data");
plt.YLabel("Frequency (fraction)");
plt.XLabel("Value (units)");
plt.Axis(null, null, 0, null);
}
public DifficultyGraph(Input input, BeatmapData beatmap)
{
this.beatmap = beatmap;
var difficultyCalculator = new DifficultyCalculator(input.BeatmapId, input.Gamemode, input.ModNumber);
difficulty = difficultyCalculator.Calculate();
double maxDifficulty = (double)beatmap.DifficultyRating > difficulty.StrainPeakTotal.Max() ? (double)beatmap.DifficultyRating : difficulty.StrainPeakTotal.Max();
var webClient = new WebClient();
Image background = null;
Graphics graphic = null;
try
{
byte[] backgroundBytes = webClient.DownloadData($"https://assets.ppy.sh/beatmaps/{beatmap.BeatmapSetId}/covers/cover.jpg");
var backgroundStream = new MemoryStream(backgroundBytes);
background = Image.FromStream(backgroundStream);
graphic = Graphics.FromImage(background);
}
catch (Exception e) { }
double[] dataX = CreateXRange();
var plt = new Plot(900, 250);
plt.Axis(0, beatmap.TotalLength, 0, maxDifficulty + 0.5);
plt.PlotScatter(dataX, difficulty.StrainPeakTotal, markerSize: 0, label: "Strain", lineWidth: 3, color: Color.DodgerBlue);
plt.PlotScatter(dataX, difficulty.StrainPeakAim, markerShape: MarkerShape.none, label: "Aim", lineWidth: 1, color: Color.MediumAquamarine, lineStyle: LineStyle.Solid);
plt.PlotScatter(dataX, difficulty.StrainPeakSpeed, markerShape: MarkerShape.none, label: "Speed", lineWidth: 1, color: Color.Firebrick);
plt.Title($"{beatmap.Artist} - {beatmap.Title} [{beatmap.Version}]", fontSize: 24);
plt.Ticks(displayTicksXminor: false, displayTicksYminor: false, fontSize: 16);
plt.PlotHLine((double)beatmap.DifficultyRating, lineWidth: 1, label: "SR", color: Color.Gold);
plt.Legend(location: legendLocation.upperLeft, fontSize: 10, fixedLineWidth: true, bold: true);
plt.Style(figBg: Color.FromArgb(150, 35, 39, 42), dataBg: Color.FromArgb(150, 35, 39, 42), tick: Color.White, title: Color.White, label: Color.White);
plt.Layout(xLabelHeight: 5, yLabelWidth: -10);
if (graphic != null && background != null)
{
graphic.DrawImage(plt.GetBitmap(), new Point(0, 0));
Graph = background;
}
else
{
Graph = plt.GetBitmap();
}
//background.Save("output.png", ImageFormat.Png);
}
public void Render(Plot plt)
{
Random rand = new Random(0);
double[] values = DataGen.RandomNormal(rand, pointCount: 1000, mean: 50, stdDev: 20);
var hist = new ScottPlot.Statistics.Histogram(values, min: 0, max: 100);
double barWidth = hist.binSize * 1.2; // slightly over-side to reduce anti-alias rendering artifacts
plt.PlotBar(hist.bins, hist.countsFrac, barWidth: barWidth, outlineWidth: 0);
plt.PlotScatter(hist.bins, hist.countsFracCurve, markerSize: 0, lineWidth: 2, color: Color.Black);
plt.Title("Normal Random Data");
plt.YLabel("Frequency (fraction)");
plt.XLabel("Value (units)");
plt.Axis(null, null, 0, null);
plt.Grid(lineStyle: LineStyle.Dot);
}
public void Render(Plot plt)
{
// create sample data for two datasets
Random rand = new Random(0);
double[] values1 = DataGen.RandomNormal(rand, pointCount: 1000, mean: 50, stdDev: 20);
double[] values2 = DataGen.RandomNormal(rand, pointCount: 1000, mean: 45, stdDev: 25);
var hist1 = new ScottPlot.Statistics.Histogram(values1, min: 0, max: 100);
var hist2 = new ScottPlot.Statistics.Histogram(values2, min: 0, max: 100);
// display datasets as step plots
plt.Title("Cumulative Probability Histogram");
plt.YLabel("Probability (fraction)");
plt.XLabel("Value (units)");
plt.PlotStep(hist1.bins, hist1.cumulativeFrac, lineWidth: 1.5, label: "sample A");
plt.PlotStep(hist2.bins, hist2.cumulativeFrac, lineWidth: 1.5, label: "sample B");
plt.Legend();
plt.Axis(null, null, 0, 1);
}
/// <inheritdoc />
public string GenerateAsImage(IEnumerable <QuestionResult> questionResults)
{
var path = Path.Combine(_workFolderPath, GenerateName() + @".png");
var plot = new Plot(Width, High);
var startPoint = (double)MinPointX;
foreach (var questionResult in questionResults)
{
var endPoint = startPoint + questionResult.Quota * (MaxPointX - MinPointX);
plot.PlotVSpan(startPoint, endPoint, label: SplitTooLongLabel(questionResult.Question));
startPoint = endPoint;
}
plot.XLabel(@"Доля неверных ответов.", fontSize: 4 * FontSize);
plot.Axis(MinPointX, MaxPointX, MinPointY, MaxPointY);
plot.Legend(fontSize: FontSize);
plot.SaveFig(path);
return(path);
}
public void Render(Plot plt)
{
// generate random data to plot
Random rand = new Random(0);
int pointCount = 5;
double[] xs = DataGen.Consecutive(pointCount);
double[] ys = DataGen.RandomNormal(rand, pointCount, 20, 5);
double[] yError = DataGen.RandomNormal(rand, pointCount, 3, 2);
// make the bar plot
plt.PlotBar(xs, ys, yError, horizontal: true);
// customize the plot to make it look nicer
plt.Axis(x1: 0);
plt.Grid(enableHorizontal: false, lineStyle: LineStyle.Dot);
// apply custom axis tick labels
string[] labels = { "one", "two", "three", "four", "five" };
plt.YTicks(xs, labels);
}
public void Render(Plot plt)
{
// generate random data to plot
Random rand = new Random(0);
int pointCount = 10;
double[] xs = DataGen.Consecutive(pointCount);
double[] ys = DataGen.RandomNormal(rand, pointCount, 20, 5);
double[] yError = DataGen.RandomNormal(rand, pointCount, 5, 2);
// make the bar plot
plt.PlotBar(xs, ys, yError);
// customize the plot to make it look nicer
plt.Axis(y1: 0);
plt.Grid(enableVertical: false, lineStyle: LineStyle.Dot);
// apply custom axis tick labels
string[] labels = { "one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "ten" };
plt.XTicks(xs, labels);
}
public void Render(Plot plt)
{
int pointCount = 20;
double[] xs = new double[pointCount];
double[] ys = new double[pointCount];
double[] yErr = new double[pointCount];
Random rand = new Random(0);
for (int i = 0; i < pointCount; i++)
{
xs[i] = i;
ys[i] = .5 + rand.NextDouble();
yErr[i] = rand.NextDouble() * .3 + .05;
}
plt.Title("Bar Plot With Error Bars");
plt.PlotBar(xs, ys, barWidth: .5, errorY: yErr, errorCapSize: 2);
plt.Grid(enableVertical: false);
plt.Axis(null, null, 0, null);
}
public Stream GetHistoryPlot(ValorantAccount account)
{
if (account.RankInfos.Count == 0)
{
return(null);
}
var plt = new Plot(600, 400);
plt.Style(ColorTranslator.FromHtml("#111111"), ColorTranslator.FromHtml("#111111"),
ColorTranslator.FromHtml("#22F9F9F9"), ColorTranslator.FromHtml("#FF4654"),
ColorTranslator.FromHtml("#FF4654"), ColorTranslator.FromHtml("#F9F9F9"));
var values = account.RankInfos.OrderBy(r => r.DateTime)
.Select(info => (double)info.RankInt * 100 + info.Progress).ToArray();
var minValue = (double)((int)values.Min() / 100 - 1) * 100;
var maxValue = (double)((int)values.Max() / 100 + 1) * 100;
var dates = account.RankInfos.OrderBy(r => r.DateTime).Select(r => r.DateTime.ToOADate()).ToArray();
plt.PlotScatter(dates, values, ColorTranslator.FromHtml("#FF4654"));
plt.Legend();
plt.Axis(y1: minValue, y2: maxValue);
plt.Title(account.DisplayName);
plt.XLabel("Date");
plt.YLabel("Rank");
var positions = _rank_map.Select((s, i) => (double)i * 100).ToArray();
plt.YTicks(positions, _rank_map);
plt.Ticks(dateTimeX: true);
var stream = new MemoryStream();
plt.GetBitmap().Save(stream, ImageFormat.Png);
stream.Seek(0, SeekOrigin.Begin);
return(stream);
}
public void Render(Plot plt)
{
// create some sample data to represent test scores
Random rand = new Random(0);
double[] scoresA = DataGen.RandomNormal(rand, 35, 72, 7);
double[] scoresB = DataGen.RandomNormal(rand, 42, 57, 10);
double[] scoresC = DataGen.RandomNormal(rand, 23, 79, 5);
// create a unique PopulationSeries for each set of scores
var seriesA = new Statistics.PopulationSeries(new Statistics.Population[] { new Statistics.Population(scoresA) }, "Class A");
var seriesB = new Statistics.PopulationSeries(new Statistics.Population[] { new Statistics.Population(scoresB) }, "Class B");
var seriesC = new Statistics.PopulationSeries(new Statistics.Population[] { new Statistics.Population(scoresC) }, "Class C");
// create a MultiSeries from all the individual series
var multiSeries = new Statistics.PopulationMultiSeries(new Statistics.PopulationSeries[] { seriesA, seriesB, seriesC });
// save the plottable and modify its properties to customize display style
var popPlot = plt.PlotPopulations(multiSeries);
popPlot.displayDistributionCurve = true;
popPlot.distributionCurveLineStyle = LineStyle.Dash;
popPlot.scatterOutlineColor = System.Drawing.Color.Transparent;
popPlot.displayItems = Plottable.PopulationPlot.DisplayItems.ScatterAndBox;
popPlot.boxStyle = Plottable.PopulationPlot.BoxStyle.BarMeanStDev;
plt.Axis(y1: 0);
// colors are managed at the population series level:
foreach (var popSeries in popPlot.popMultiSeries.multiSeries)
{
popSeries.color = Tools.GetRandomColor(rand);
}
// improve the style of the plot
plt.Title($"Test Scores by Class");
plt.YLabel("Score");
plt.Legend(location: Alignment.LowerLeft);
plt.Ticks(displayTicksX: false);
plt.Grid(lineStyle: LineStyle.Dot, enableVertical: false);
}
public void UpdateAimStrainMeter(Plot aimStrainMeter, List <double> denseAimStrainTimes, List <double> denseAimStrainValues, List <double> aimStrainPeakTimes, List <double> aimStrainPeaks, int gameTime)
{
double strain = Math.Round(CalculateCurrentStrain(denseAimStrainTimes, denseAimStrainValues, gameTime));
// Show aim strain peak
double sectionStart = (gameTime / 400) * 400;
var indicesInsideSection = Enumerable.Range(0, denseAimStrainTimes.Count - 1)
.Where(i => denseAimStrainTimes[i] >= sectionStart)
.Where(i => denseAimStrainTimes[i] <= gameTime);
double currentStrainPeak = 0;
foreach (int i in indicesInsideSection)
{
currentStrainPeak = Math.Max(denseAimStrainValues[i], currentStrainPeak);
}
aimStrainMeter.PlotBar(
new double[] { 0 },
new double[] { currentStrainPeak },
fillColor: Color.FromArgb(40, 189, 147, 249),
outlineWidth: 0
);
aimStrainMeter.PlotText(
Math.Round(currentStrainPeak).ToString(),
0, currentStrainPeak + 20,
color: Color.FromArgb(230, 230, 230),
alignment: TextAlignment.middleCenter,
fontSize: 15
);
aimStrainMeter.PlotBar(
new double[] { 0 },
new double[] { strain },
fillColor: Color.FromArgb(255, 85, 85),
outlineWidth: 0
);
aimStrainMeter.Ticks(displayTicksX: false);
aimStrainMeter.Grid(enableVertical: false);
aimStrainMeter.Axis(y1: 0, y2: denseAimStrainValues.Max() + 50);
aimStrainMeter.Frame(false);
}
/// <inheritdoc />
public string GenerateAsImage(IEnumerable <UserResult> userResults)
{
var path = Path.Combine(_workFolderPath, GenerateName() + @".png");
var plot = new Plot(Width, High);
if (userResults.Any())
{
var minimum = userResults.Min(result => result.Result.Keys.Min());
var maximum = userResults.Max(result => result.Result.Keys.Max());
foreach (var result in userResults)
{
plot.PlotScatter(
ConvertDateToDouble(result.Result.Keys, minimum, maximum).ToArray(),
result.Result.Values.Select(item => (double)item).ToArray(),
label: result.User,
markerSize: 10);
SetLabels(
plot,
result.Result.Keys,
result.Result.Values.Select(item => (double)item), minimum,
maximum);
}
plot.XLabel(
(maximum - minimum).TotalHours <= 24
? @"Время прохождения теста."
: @"Дата прохождения теста.",
fontSize: 4 * FontSize);
}
plot.YLabel(@"Доля верных ответов.", fontSize: 4 * FontSize);
plot.Axis(MinPointX, MaxPointX, MinPointY, MaxPointY);
plot.Legend(fontSize: 2 * FontSize);
plot.SaveFig(path);
return(path);
}
public static Mat MakeHistogram(Mat mat)
{
double[] array;
unsafe
{
var span = new ReadOnlySpan <byte>(mat.Data.ToPointer(), (int)mat.Total() * mat.Channels());
array = new double[span.Length];
for (int i = 0; i < span.Length; i++)
{
array[i] = span[i];
}
}
var plt = new Plot(640, 480);
var hist = new ScottPlot.Statistics.Histogram(array, min: 0, max: 255, binSize: 1);
plt.PlotBar(hist.bins, hist.counts, barWidth: hist.binSize, outlineWidth: 0);
plt.Axis(null, null, 0, null);
plt.Grid(lineStyle: LineStyle.Dot);
var bitmap = plt.GetBitmap();
return(bitmap.ToMat());
}
public void Render(Plot plt)
{
// create some sample data
double[] xs = { 1, 2, 3, 4, 5, 6, 7 };
double[] valuesA = { 1, 2, 3, 2, 1, 2, 1 };
double[] valuesB = { 3, 3, 2, 1, 3, 2, 1 };
// to simulate stacking B on A, shift B up by A
double[] valuesB2 = new double[valuesB.Length];
for (int i = 0; i < valuesB.Length; i++)
{
valuesB2[i] = valuesA[i] + valuesB[i];
}
// plot the bar charts in reverse order (highest first)
plt.PlotBar(xs, valuesB2, label: "Series B");
plt.PlotBar(xs, valuesA, label: "Series A");
// improve the styling
plt.Legend(location: legendLocation.upperRight);
plt.Axis(y1: 0, y2: 7);
plt.Title("Stacked Bar Charts");
}
private void PopualteGuiFromPlot()
{
// vertical axis
tbYlabel.Text = plt.GetSettings().yLabel.text;
tbY2.Text = Math.Round(plt.Axis()[3], 4).ToString();
tbY1.Text = Math.Round(plt.Axis()[2], 4).ToString();
cbYminor.Checked = plt.GetSettings().ticks.displayYminor;
cbYdateTime.Checked = plt.GetSettings().ticks.y.dateFormat;
// horizontal axis
tbXlabel.Text = plt.GetSettings().xLabel.text;
tbX2.Text = Math.Round(plt.Axis()[1], 4).ToString();
tbX1.Text = Math.Round(plt.Axis()[0], 4).ToString();
cbXminor.Checked = plt.GetSettings().ticks.displayXminor;
cbXdateTime.Checked = plt.GetSettings().ticks.x.dateFormat;
// tick display options
cbTicksOffset.Checked = plt.GetSettings().ticks.useOffsetNotation;
cbTicksMult.Checked = plt.GetSettings().ticks.useMultiplierNotation;
cbGrid.Checked = plt.GetSettings().grid.enableHorizontal;
// legend
cbLegend.Checked = (plt.GetSettings().legend.location == legendLocation.none) ? false : true;
// image quality
rbQualityLow.Checked = !plt.GetSettings().misc.antiAliasData;
rbQualityHigh.Checked = plt.GetSettings().misc.antiAliasData;
//cbQualityLowWhileDragging.Checked = plt.mouseTracker.lowQualityWhileInteracting;
// list of plottables
lbPlotObjects.Items.Clear();
foreach (var plotObject in plt.GetPlottables())
{
lbPlotObjects.Items.Add(plotObject);
}
// list of color styles
cbStyle.Items.AddRange(Enum.GetNames(typeof(Style)));
}
public void Render(Plot plt)
{
GenericPlots.SinAndCos(plt);
plt.Axis(-10, 60, -3, 3);
}
public void Render(Plot plt)
{
Random rand = new Random(0);
plt.PlotErrorBars(
xs: DataGen.Random(rand, 10, 10),
ys: DataGen.Random(rand, 10, 10),
xPositiveError: DataGen.Random(rand, 10),
xNegativeError: DataGen.Random(rand, 10),
yPositiveError: DataGen.Random(rand, 10),
yNegativeError: DataGen.Random(rand, 10),
label: "error bars"
);
var func = new Func <double, double?>((x) => Math.Sin(x) * Math.Sin(10 * x) + 3);
plt.PlotFunction(func, label: "function", lineWidth: 2);
var func2 = new Func <double, double?>((x) => Math.Sin(x) * Math.Sin(10 * x) + 5);
plt.PlotFunction(func2, label: null); // null labels will not appear in legend
plt.PlotHLine(7.75, label: "horizontal line", lineStyle: LineStyle.Dot);
plt.PlotVLine(7.75, label: "vertical line", lineStyle: LineStyle.Dash);
plt.PlotHSpan(1.5, 2.5, label: "horizontal span");
plt.PlotVSpan(1.5, 2.5, label: "vertical span");
plt.PlotOHLC(new OHLC[] {
new OHLC(5, 6, 4, 5.5, 1),
new OHLC(6, 7.5, 3.5, 4.75, 1.5),
new OHLC(5.5, 6, 3, 4.5, 2)
});
plt.PlotCandlestick(new OHLC[] {
new OHLC(5, 6, 4, 5.5, 3),
new OHLC(6, 7.5, 3.5, 4.75, 3.5),
new OHLC(5.5, 6, 3, 4.5, 4)
});
plt.PlotScatter(
xs: new double[] { 5, 5.5, 6, 7, 7, 6 },
ys: new double[] { 7, 8, 7, 9, 7, 8 },
lineStyle: LineStyle.Dash,
lineWidth: 2,
markerShape: MarkerShape.openCircle,
markerSize: 10,
label: "Scatter Plot"
);
plt.PlotSignal(
ys: DataGen.RandomNormal(rand, 10),
sampleRate: 5,
xOffset: 3,
yOffset: 8,
label: "Signal Plot"
);
plt.PlotText("ScottPlot", 6, 6, rotation: 25, fontSize: 14, bold: true);
plt.PlotPoint(1, 9, label: "point");
plt.PlotArrow(8, 8, 8.5, 8.5, label: "arrow");
plt.Axis(0, 13, -1, 11);
plt.Legend();
plt.Grid(false);
}
public void PlotSortedPeaks(Plot sortedPeaksPlot, List <double> aimStrainPeakTimes, List <double> aimStrainPeaks, double gameTime)
{
// Mark 7 (50%), 22 (90%), and 28 (95%)
sortedPeaksPlot.PlotVLine(7.5, color: Color.FromArgb(255, 121, 198), lineStyle: LineStyle.Dot);
sortedPeaksPlot.PlotVLine(22.5, color: Color.FromArgb(255, 121, 198), lineStyle: LineStyle.Dot);
sortedPeaksPlot.PlotVLine(28.5, color: Color.FromArgb(255, 121, 198), lineStyle: LineStyle.Dot);
// get all aim strains before gameTime, limit view to only the first PEAKS_TO_DISPLAY peaks
var sortedPeaks = Enumerable.Zip(aimStrainPeakTimes, aimStrainPeaks, (time, value) => (time, value))
.Where(peak => peak.time < gameTime)
.OrderBy(peak => peak.value)
.Reverse();
var allRanks = Enumerable.Range(0, sortedPeaks.Count()).Select(x => (double)x).ToArray();
var rankedPeaks = sortedPeaks.Zip(allRanks, (p, rank) => (rank, p.time, p.value))
.Where(p => p.rank <= PEAKS_TO_DISPLAY);
var limitedRanks = rankedPeaks.Select(p => p.rank).ToArray();
// Plot old peaks
var oldPeaks = rankedPeaks.Where(p => gameTime > p.time + OLD_THRESHOLD);
if (oldPeaks.Count() > 0)
{
sortedPeaksPlot.PlotBar(
oldPeaks.Select(p => p.rank).ToArray(),
oldPeaks.Select(p => Math.Round(p.value)).ToArray(),
barWidth: 0.95,
fillColor: Color.FromArgb(70, 189, 147, 249),
outlineWidth: 0
);
}
// Plot recent peaks
var newPeaks = rankedPeaks.Where(p => gameTime <= p.time + OLD_THRESHOLD);
foreach ((double rank, double time, double value) in newPeaks)
{
var progress = (gameTime - time) / OLD_THRESHOLD;
int transparency = (int)(255 - progress * (255 - 70));
sortedPeaksPlot.PlotBar(
new double[] { rank },
new double[] { Math.Round(value) },
barWidth: 0.95,
fillColor: Color.FromArgb(transparency, 189, 147, 249),
outlineWidth: 0
);
}
LastSortedPeaksPlotContainedNewPeaks = newPeaks.Count() > 0;
// Plot weighted peaks
var weightedPeaks = rankedPeaks
.Select(p => p.value * Math.Pow(0.90, p.rank))
.Select(x => Math.Round(x))
.ToArray();
if (weightedPeaks.Length > 0)
{
sortedPeaksPlot.PlotBar(
limitedRanks,
weightedPeaks,
barWidth: 0.95,
fillColor: Color.FromArgb(70, 189, 147, 249),
outlineWidth: 0
);
}
//sortedPeaksPlot.AxisAuto(xExpandOnly: true, yExpandOnly: true);
sortedPeaksPlot.Axis(x1: -0.5, x2: PEAKS_TO_DISPLAY + 0.5, y1: 0, y2: aimStrainPeaks.Max());
}