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using System;

using System.Collections.Generic;

using System.Linq;

using System.Text;

using System.Threading.Tasks;

using MatplotlibCS;

using MatplotlibCS.PlotItems;

namespace Examples.Plot2D

{

class ExampleSin : IExample

{

/// <summary>

/// Chart of sin

/// </summary>

public void Run(string pythonExePath, string dasPlotPyPath)

{

#region create test data

const int N = 100;

var X = new double[N];

var Y1 = new double[N];

var Y2 = new double[N];

var x = 0.0;

const double h = 2 * Math.PI / N;

var rnd = new Random();

for (var i = 0; i < N; i++)

{

var y = Math.Sin(x);

X[i] = x;

Y1[i] = y;

y = Math.Sin(2 * x);

Y2[i] = y + rnd.NextDouble() / 10.0;

x += h;

}

#endregion

#region create plot

// init engine with right paths

var matplotlibCs = new MatplotlibCS.MatplotlibCS(pythonExePath, dasPlotPyPath);

var figure = new Figure(1, 1)

{

FileName = "ExampleSin.png",

OnlySaveImage = true,

DPI = 150,

Subplots =

{

new Axes(1, "The X axis", "The Y axis")

{

Title = "Sin(x), Sin(2x), VLines, HLines, Annotations",

LegendBorder = false,

Grid = new Grid()

{

MinorAlpha = 0.2,

MajorAlpha = 1.0,

XMajorTicks = new[] {0.0, 7.6, 0.5, 1.75},

YMajorTicks = new[] {-1, 2.5, 0.25, 0.125},

XMinorTicks = new[] {0.0, 7.25, 0.25, 1.125},

YMinorTicks = new[] {-1, 2.5, 0.125, 1.025}

},

PlotItems =

{

new Line2D("Sin")

{

X = X.Cast<object>().ToList(),

Y = Y1.ToList(),

LineStyle = LineStyle.Dashed

},

new Line2D("Sin 2x")

{

X = X.Cast<object>().ToList(),

Y = Y2.ToList(),

LineStyle = LineStyle.Solid,

LineWidth = 0.5f,

Color = "r",

Markevery = 5,

MarkerSize = 10,

Marker = Marker.Circle,

ShowLegend = false

},

new Text("ant1", "Text annotation", 4.5, 0.76)

{

FontSize = 17

},

new Annotation("ant2","Arrow text annotation", 0.5, -0.7, 3, 0)

{

Color = "#44ff88",

ArrowStyle = ArrowStyle.Both,

LineWidth = 3,

},

new Vline("vert line", new object[] {3.0}, -1, 1),

new Hline("hrzt line", new[] {0.1, 0.25, 0.375}, 0, 5) {LineStyle = LineStyle.Dashed, Color = Color.Magenta}

}

}

}

};

var t = matplotlibCs.BuildFigure(figure);

t.Wait();

#endregion

}

}

}