public void ExecuteRecipe(Plot plt)
{
plt.Palette = ScottPlot.Palette.ColorblindFriendly;
// generate random data
System.Random rand = new(12345);
var xs = ScottPlot.DataGen.RandomWalk(rand, 20);
var ys = ScottPlot.DataGen.RandomWalk(rand, 20);
plt.AddScatter(xs, ys, lineStyle: ScottPlot.LineStyle.Dash, markerSize: 10, label: "original");
// interpolate the same data in different ways
(double[] bzX, double[] bzY) = ScottPlot.Statistics.Interpolation.Bezier.InterpolateXY(xs, ys, .005);
(double[] crX, double[] crY) = ScottPlot.Statistics.Interpolation.CatmullRom.InterpolateXY(xs, ys, 15);
(double[] chX, double[] chY) = ScottPlot.Statistics.Interpolation.Chaikin.InterpolateXY(xs, ys, 4);
(double[] cbX, double[] cbY) = ScottPlot.Statistics.Interpolation.Cubic.InterpolateXY(xs, ys, 200);
// display the different curves as line plots
plt.AddScatterLines(bzX, bzY, lineWidth: 2, label: $"Bezier");
plt.AddScatterLines(crX, crY, lineWidth: 2, label: $"Catmull-Rom");
plt.AddScatterLines(chX, chY, lineWidth: 2, label: $"Chaikin");
plt.AddScatterLines(cbX, cbY, lineWidth: 2, label: $"Cubic");
// style the plot
plt.Legend();
plt.Frameless();
plt.Grid(false);
plt.XAxis2.Label("Spline Interpolation", size: 28, bold: true);
}
public void ExecuteRecipe(Plot plt)
{
OHLC[] ohlcs = DataGen.RandomStockPrices(null, 100);
var candlePlot = plt.AddCandlesticks(ohlcs);
var bol = candlePlot.GetBollingerBands(20);
plt.AddScatterLines(bol.xs, bol.sma, Color.Blue);
plt.AddScatterLines(bol.xs, bol.lower, Color.Blue, lineStyle: LineStyle.Dash);
plt.AddScatterLines(bol.xs, bol.upper, Color.Blue, lineStyle: LineStyle.Dash);
}
public void ExecuteRecipe(Plot plt)
{
// male and female heights are based on https://ourworldindata.org/human-height
Random rand = new(0);
double[] heightsMale = ScottPlot.DataGen.RandomNormal(rand, pointCount: 2345, mean: 178.4, stdDev: 7.6);
double[] heightsFemale = ScottPlot.DataGen.RandomNormal(rand, pointCount: 1234, mean: 164.7, stdDev: 7.1);
// calculate histograms for male and female datasets
(double[] probMale, double[] binEdges) = ScottPlot.Statistics.Common.Histogram(heightsMale, min: 140, max: 210, binSize: 1, density: true);
(double[] probFemale, _) = ScottPlot.Statistics.Common.Histogram(heightsFemale, min: 140, max: 210, binSize: 1, density: true);
double[] leftEdges = binEdges.Take(binEdges.Length - 1).ToArray();
// convert probabilities to percents
probMale = probMale.Select(x => x * 100).ToArray();
probFemale = probFemale.Select(x => x * 100).ToArray();
// plot histograms
var barMale = plt.AddBar(values: probMale, positions: leftEdges);
barMale.BarWidth = 1;
barMale.FillColor = Color.FromArgb(50, Color.Blue);
barMale.BorderLineWidth = 0;
var barFemale = plt.AddBar(values: probFemale, positions: leftEdges);
barFemale.BarWidth = 1;
barFemale.FillColor = Color.FromArgb(50, Color.Red);
barFemale.BorderLineWidth = 0;
// plot probability function curves
double[] pdfMale = ScottPlot.Statistics.Common.ProbabilityDensity(heightsMale, binEdges, percent: true);
plt.AddScatterLines(
xs: binEdges,
ys: pdfMale,
color: Color.FromArgb(150, Color.Blue),
lineWidth: 3,
label: $"Male (n={heightsMale.Length:N0})");
double[] pdfFemale = ScottPlot.Statistics.Common.ProbabilityDensity(heightsFemale, binEdges, percent: true);
plt.AddScatterLines(
xs: binEdges,
ys: pdfFemale,
color: Color.FromArgb(150, Color.Red),
lineWidth: 3,
label: $"Female (n={heightsFemale.Length:N0})");
// customize styling
plt.Title("Human Height by Sex");
plt.YLabel("Probability (%)");
plt.XLabel("Height (cm)");
plt.Legend(location: ScottPlot.Alignment.UpperLeft);
plt.SetAxisLimits(yMin: 0);
}
public void ExecuteRecipe(Plot plt)
{
OHLC[] ohlcs = DataGen.RandomStockPrices(null, 75);
var candlePlot = plt.AddCandlesticks(ohlcs);
var sma8 = candlePlot.GetSMA(8);
plt.AddScatterLines(sma8.xs, sma8.ys, Color.Blue, 2);
var sma20 = candlePlot.GetSMA(20);
plt.AddScatterLines(sma20.xs, sma20.ys, Color.Navy, 2);
}
public void ExecuteRecipe(Plot plt)
{
// add some random candles
OHLC[] prices = DataGen.RandomStockPrices(null, 100, TimeSpan.FromMinutes(5));
double[] xs = prices.Select(x => x.DateTime.ToOADate()).ToArray();
var candlePlot = plt.AddCandlesticks(prices);
candlePlot.YAxisIndex = 1;
plt.XAxis.DateTimeFormat(true);
// add SMA indicators for 8 and 20 days
var sma8 = candlePlot.GetSMA(8);
var sma20 = candlePlot.GetSMA(20);
var sma8plot = plt.AddScatterLines(sma8.xs, sma8.ys, Color.Cyan, 2, label: "8 day SMA");
var sma20plot = plt.AddScatterLines(sma20.xs, sma20.ys, Color.Yellow, 2, label: "20 day SMA");
sma8plot.YAxisIndex = 1;
sma20plot.YAxisIndex = 1;
// customize candle styling
candlePlot.ColorDown = ColorTranslator.FromHtml("#00FF00");
candlePlot.ColorUp = ColorTranslator.FromHtml("#FF0000");
// customize figure styling
plt.Layout(padding: 12);
plt.Style(figureBackground: Color.Black, dataBackground: Color.Black);
plt.Frameless();
plt.XAxis.TickLabelStyle(color: Color.White);
plt.XAxis.TickMarkColor(ColorTranslator.FromHtml("#333333"));
plt.XAxis.MajorGrid(color: ColorTranslator.FromHtml("#333333"));
// hide the left axis and show a right axis
plt.YAxis.Ticks(false);
plt.YAxis.Grid(false);
plt.YAxis2.Ticks(true);
plt.YAxis2.Grid(true);
plt.YAxis2.TickLabelStyle(color: ColorTranslator.FromHtml("#00FF00"));
plt.YAxis2.TickMarkColor(ColorTranslator.FromHtml("#333333"));
plt.YAxis2.MajorGrid(color: ColorTranslator.FromHtml("#333333"));
// customize the legend style
var legend = plt.Legend();
legend.FillColor = Color.Transparent;
legend.OutlineColor = Color.Transparent;
legend.Font.Color = Color.White;
legend.Font.Bold = true;
}
public void ExecuteRecipe(Plot plt)
{
// generate sample heights are based on https://ourworldindata.org/human-height
Random rand = new(0);
double[] heights = ScottPlot.DataGen.RandomNormal(rand, pointCount: 1234, mean: 178.4, stdDev: 7.6);
// create a histogram
var hist = new ScottPlot.Statistics.Histogram(heights, min: 140, max: 220, binSize: 1);
// display histogram probabability as a bar plot
var bar = plt.AddBar(values: hist.countsFrac, positions: hist.bins);
bar.FillColor = ColorTranslator.FromHtml("#9bc3eb");
bar.BorderColor = ColorTranslator.FromHtml("#82add9");
bar.BarWidth = hist.binSize;
// display histogram distribution curve as a line plot
plt.AddScatterLines(
xs: hist.bins,
ys: hist.probability,
color: Color.Black,
lineWidth: 2,
lineStyle: LineStyle.Dash);
// customize the plot style
plt.Title("Adult Male Height");
plt.YAxis.Label("Probability");
plt.XAxis.Label("Height (cm)");
plt.SetAxisLimits(yMin: 0);
}
public void ExecuteRecipe(Plot plt)
{
double[] xs = DataGen.Consecutive(51);
double[] ys = DataGen.Sin(51);
plt.AddScatterLines(xs, ys, Color.Red, 3);
}
public void ExecuteRecipe(Plot plt)
{
// generate sample heights are based on https://ourworldindata.org/human-height
Random rand = new(0);
double[] values = ScottPlot.DataGen.RandomNormal(rand, pointCount: 1234, mean: 178.4, stdDev: 7.6);
// create a histogram
(double[] probabilities, double[] binEdges) = ScottPlot.Statistics.Common.Histogram(values, min: 140, max: 220, binSize: 1, density: true);
double[] leftEdges = binEdges.Take(binEdges.Length - 1).ToArray();
// display histogram probabability as a bar plot
var bar = plt.AddBar(values: probabilities, positions: leftEdges);
bar.BarWidth = 1;
bar.FillColor = ColorTranslator.FromHtml("#9bc3eb");
bar.BorderColor = ColorTranslator.FromHtml("#82add9");
// display histogram distribution curve as a line plot
double[] densities = ScottPlot.Statistics.Common.ProbabilityDensity(values, binEdges);
plt.AddScatterLines(
xs: binEdges,
ys: densities,
color: Color.Black,
lineWidth: 2,
lineStyle: LineStyle.Dash);
// customize the plot style
plt.Title("Adult Male Height");
plt.YAxis.Label("Probability");
plt.XAxis.Label("Height (cm)");
plt.SetAxisLimits(yMin: 0);
}
public void ExecuteRecipe(Plot plt)
{
// male and female heights are based on https://ourworldindata.org/human-height
Random rand = new(0);
double[] heightsMale = ScottPlot.DataGen.RandomNormal(rand, pointCount: 2345, mean: 178.4, stdDev: 7.6);
double[] heightsFemale = ScottPlot.DataGen.RandomNormal(rand, pointCount: 1234, mean: 164.7, stdDev: 7.1);
// calculate histograms for male and female datasets
var histMale = new ScottPlot.Statistics.Histogram(heightsMale, min: 140, max: 210, binSize: 1);
var histFemale = new ScottPlot.Statistics.Histogram(heightsFemale, min: 140, max: 210, binSize: 1);
// plot histograms
var barMale = plt.AddBar(values: histMale.countsFrac, positions: histMale.bins);
barMale.BarWidth = histMale.binSize;
barMale.FillColor = Color.FromArgb(50, Color.Blue);
barMale.BorderLineWidth = 0;
var barFemale = plt.AddBar(values: histFemale.countsFrac, positions: histFemale.bins);
barFemale.BarWidth = histFemale.binSize;
barFemale.FillColor = Color.FromArgb(50, Color.Red);
barFemale.BorderLineWidth = 0;
// plot probability function curves
plt.AddScatterLines(
xs: histMale.bins,
ys: histMale.probability,
color: Color.FromArgb(150, Color.Blue),
lineWidth: 3,
label: $"Male (n={heightsMale.Length:N0})");
plt.AddScatterLines(
xs: histFemale.bins,
ys: histFemale.probability,
color: Color.FromArgb(150, Color.Red),
lineWidth: 3,
label: $"Female (n={heightsFemale.Length:N0})");
// customize styling
plt.Title("Human Height by Sex");
plt.YLabel("Probability");
plt.XLabel("Height (cm)");
plt.Legend(location: ScottPlot.Alignment.UpperLeft);
plt.SetAxisLimits(yMin: 0);
}
public void ExecuteRecipe(Plot plt)
{
// generate sample heights are based on https://ourworldindata.org/human-height
Random rand = new(0);
double[] values = ScottPlot.DataGen.RandomNormal(rand, pointCount: 1234, mean: 178.4, stdDev: 7.6);
// create a histogram
(double[] counts, double[] binEdges) = ScottPlot.Statistics.Common.Histogram(values, min: 140, max: 220, binSize: 1);
double[] leftEdges = binEdges.Take(binEdges.Length - 1).ToArray();
// display histogram probabability as a bar plot
var bar = plt.AddBar(values: counts, positions: leftEdges);
bar.FillColor = ColorTranslator.FromHtml("#9bc3eb");
bar.BorderLineWidth = 0;
// display histogram distribution curve as a line plot on a secondary Y axis
double[] smoothEdges = ScottPlot.DataGen.Range(start: binEdges.First(), stop: binEdges.Last(), step: 0.1, includeStop: true);
double[] smoothDensities = ScottPlot.Statistics.Common.ProbabilityDensity(values, smoothEdges, percent: true);
var probPlot = plt.AddScatterLines(
xs: smoothEdges,
ys: smoothDensities,
lineWidth: 2,
label: "probability");
probPlot.YAxisIndex = 1;
plt.YAxis2.Ticks(true);
// display vertical lines at points of interest
var stats = new ScottPlot.Statistics.BasicStats(values);
plt.AddVerticalLine(stats.Mean, Color.Black, 2, LineStyle.Solid, "mean");
plt.AddVerticalLine(stats.Mean - stats.StDev, Color.Black, 2, LineStyle.Dash, "1 SD");
plt.AddVerticalLine(stats.Mean + stats.StDev, Color.Black, 2, LineStyle.Dash);
plt.AddVerticalLine(stats.Mean - stats.StDev * 2, Color.Black, 2, LineStyle.Dot, "2 SD");
plt.AddVerticalLine(stats.Mean + stats.StDev * 2, Color.Black, 2, LineStyle.Dot);
plt.AddVerticalLine(stats.Min, Color.Gray, 1, LineStyle.Dash, "min/max");
plt.AddVerticalLine(stats.Max, Color.Gray, 1, LineStyle.Dash);
plt.Legend(location: Alignment.UpperRight);
// customize the plot style
plt.Title("Adult Male Height");
plt.YAxis.Label("Count (#)");
plt.YAxis2.Label("Probability (%)");
plt.XAxis.Label("Height (cm)");
plt.SetAxisLimits(yMin: 0);
plt.SetAxisLimits(yMin: 0, yAxisIndex: 1);
}
public void ExecuteRecipe(Plot plt)
{
plt.Palette = ScottPlot.Drawing.Palette.Frost;
for (int i = 0; i < plt.Palette.Count(); i++)
{
double[] xs = DataGen.Consecutive(100);
double[] ys = DataGen.Sin(100, phase: -i * .5 / plt.Palette.Count());
plt.AddScatterLines(xs, ys, lineWidth: 3);
}
plt.Title($"{plt.Palette}");
plt.AxisAutoX(0);
}
public void ExecuteRecipe(Plot plt)
{
plt.Palette = ScottPlot.Palette.PolarNight;
for (int i = 0; i < plt.Palette.Count(); i++)
{
double[] xs = DataGen.Consecutive(100);
double[] ys = DataGen.Sin(100, phase: -i * .5 / plt.Palette.Count());
plt.AddScatterLines(xs, ys, lineWidth: 3);
}
plt.Title($"{plt.Palette}");
plt.AxisAuto(0, 0.1);
plt.Style(ScottPlot.Style.Blue2);
}
public void ExecuteRecipe(Plot plt)
{
// custom colors generated using "i want hue" http://medialab.github.io/iwanthue/
string[] customColors = { "#019d9f", "#7d3091", "#57e075", "#e5b5fa", "#009118" };
// create a custom palette and set it in the plot module
plt.Palette = new ScottPlot.Drawing.Palette(customColors);
for (int i = 0; i < plt.Palette.Count(); i++)
{
double[] xs = DataGen.Consecutive(100);
double[] ys = DataGen.Sin(100, phase: -i * .5 / plt.Palette.Count());
plt.AddScatterLines(xs, ys, lineWidth: 3);
}
plt.Title($"{plt.Palette}");
plt.AxisAutoX(0);
}
public void ExecuteRecipe(Plot plt)
{
plt.Palette = ScottPlot.Drawing.Palette.OneHalfDark;
for (int i = 0; i < plt.Palette.Count(); i++)
{
double[] xs = DataGen.Consecutive(100);
double[] ys = DataGen.Sin(100, phase: -i * .5 / plt.Palette.Count());
plt.AddScatterLines(xs, ys, lineWidth: 3);
}
plt.Title($"{plt.Palette}");
plt.AxisAutoX(0);
plt.Style(ScottPlot.Style.Gray1);
var bnColor = System.Drawing.ColorTranslator.FromHtml("#2e3440");
plt.Style(figureBackground: bnColor, dataBackground: bnColor);
}