[C#/WINFORM/SCOTTPLOT] 다중 히스토그램 차트 만들기

■ 다중 히스토그램 차트를 만드는 방법을 보여준다.

▶ MainForm.cs


using System;
using System.Drawing;
using System.Linq;
using System.Windows.Forms;

using ScottPlot;
using ScottPlot.Plottable;
using ScottPlot.Statistics;

namespace TestProject
{
    /// <summary>
    /// 메인 폼
    /// </summary>
    public partial class MainForm : Form
    {
        //////////////////////////////////////////////////////////////////////////////////////////////////// Constructor
        ////////////////////////////////////////////////////////////////////////////////////////// Public

        #region 생성자 - MainForm()

        /// <summary>
        /// 생성자
        /// </summary>
        public MainForm()
        {
            InitializeComponent();

            Plot plot = new Plot(800, 600);

            Random random = new Random(0);

            double[] maleHeightArray   = DataGen.RandomNormal(random, pointCount : 2345, mean : 178.4, stdDev : 7.6);
            double[] femaleHeightArray = DataGen.RandomNormal(random, pointCount : 1234, mean : 164.7, stdDev : 7.1);

            (double[] malePropabilityArray  , double[] binEdgeArray) = Common.Histogram(maleHeightArray  , min : 140, max : 210, binSize : 1, density : true);
            (double[] femalePropabilityArray, _                    ) = Common.Histogram(femaleHeightArray, min : 140, max : 210, binSize : 1, density : true);

            double[] leftEdgeArray = binEdgeArray.Take(binEdgeArray.Length - 1).ToArray();

            malePropabilityArray   = malePropabilityArray.Select(x => x * 100).ToArray();
            femalePropabilityArray = femalePropabilityArray.Select(x => x * 100).ToArray();

            BarPlot maleBarPlot = plot.AddBar(values : malePropabilityArray, positions : leftEdgeArray);

            maleBarPlot.BarWidth        = 1;
            maleBarPlot.BorderLineWidth = 0;
            maleBarPlot.FillColor       = Color.FromArgb(50, Color.Blue);

            BarPlot femaleBarPlot = plot.AddBar(values : femalePropabilityArray, positions : leftEdgeArray);

            femaleBarPlot.BarWidth        = 1;
            femaleBarPlot.BorderLineWidth = 0;
            femaleBarPlot.FillColor       = Color.FromArgb(50, Color.Red);

            double[] maleProbabilityDensityArray = Common.ProbabilityDensity(maleHeightArray, binEdgeArray, percent : true);

            plot.AddScatterLines
            (
                xs        : binEdgeArray,
                ys        : maleProbabilityDensityArray,
                color     : Color.FromArgb(150, Color.Blue),
                lineWidth : 3,
                label     : $"남성(n={maleHeightArray.Length:N0})"
            );

            double[] femaleProbabilityDensityArray = Common.ProbabilityDensity(femaleHeightArray, binEdgeArray, percent : true);

            plot.AddScatterLines
            (
                xs        : binEdgeArray,
                ys        : femaleProbabilityDensityArray,
                color     : Color.FromArgb(150, Color.Red),
                lineWidth : 3,
                label     : $"여성(n={femaleHeightArray.Length:N0})"
            );

            plot.Title("성별 인간 신장");
            plot.XLabel("신장(cm)");
            plot.YLabel("확률(%)");
            plot.Legend(location : Alignment.UpperLeft);
            plot.SetAxisLimits(yMin : 0);

            this.formsPlot.Reset(plot);

            this.formsPlot.Refresh();
        }

        #endregion
    }
}

using System;

using System.Drawing;

using System.Linq;

using System.Windows.Forms;

using ScottPlot;

using ScottPlot.Plottable;

using ScottPlot.Statistics;

namespace TestProject

{

/// <summary>

/// 메인 폼

/// </summary>

public partial class MainForm : Form

{

//////////////////////////////////////////////////////////////////////////////////////////////////// Constructor

////////////////////////////////////////////////////////////////////////////////////////// Public

#region 생성자 - MainForm()

/// <summary>

/// 생성자

/// </summary>

public MainForm()

{

InitializeComponent();

Plot plot = new Plot(800, 600);

Random random = new Random(0);

double[] maleHeightArray = DataGen.RandomNormal(random, pointCount : 2345, mean : 178.4, stdDev : 7.6);

double[] femaleHeightArray = DataGen.RandomNormal(random, pointCount : 1234, mean : 164.7, stdDev : 7.1);

(double[] malePropabilityArray , double[] binEdgeArray) = Common.Histogram(maleHeightArray , min : 140, max : 210, binSize : 1, density : true);

(double[] femalePropabilityArray, _ ) = Common.Histogram(femaleHeightArray, min : 140, max : 210, binSize : 1, density : true);

double[] leftEdgeArray = binEdgeArray.Take(binEdgeArray.Length - 1).ToArray();

malePropabilityArray = malePropabilityArray.Select(x => x * 100).ToArray();

femalePropabilityArray = femalePropabilityArray.Select(x => x * 100).ToArray();

BarPlot maleBarPlot = plot.AddBar(values : malePropabilityArray, positions : leftEdgeArray);

maleBarPlot.BarWidth = 1;

maleBarPlot.BorderLineWidth = 0;

maleBarPlot.FillColor = Color.FromArgb(50, Color.Blue);

BarPlot femaleBarPlot = plot.AddBar(values : femalePropabilityArray, positions : leftEdgeArray);

femaleBarPlot.BarWidth = 1;

femaleBarPlot.BorderLineWidth = 0;

femaleBarPlot.FillColor = Color.FromArgb(50, Color.Red);

double[] maleProbabilityDensityArray = Common.ProbabilityDensity(maleHeightArray, binEdgeArray, percent : true);

plot.AddScatterLines

(

xs : binEdgeArray,

ys : maleProbabilityDensityArray,

color : Color.FromArgb(150, Color.Blue),

lineWidth : 3,

label : $"남성(n={maleHeightArray.Length:N0})"

);

double[] femaleProbabilityDensityArray = Common.ProbabilityDensity(femaleHeightArray, binEdgeArray, percent : true);

plot.AddScatterLines

(

xs : binEdgeArray,

ys : femaleProbabilityDensityArray,

color : Color.FromArgb(150, Color.Red),

lineWidth : 3,

label : $"여성(n={femaleHeightArray.Length:N0})"

);

plot.Title("성별 인간 신장");

plot.XLabel("신장(cm)");

plot.YLabel("확률(%)");

plot.Legend(location : Alignment.UpperLeft);

plot.SetAxisLimits(yMin : 0);

this.formsPlot.Reset(plot);

this.formsPlot.Refresh();

}

#endregion

}

TestProject.zip