POPULATION CHART Archives

[C#/WINFORM/SCOTTPLOT] PopulationPlot 클래스 : 고급 모집단 스타일 사용하기

■ PopulationPlot 클래스에서 고급 모집단 스타일을 사용하는 방법을 보여준다. ▶ MainForm.cs


using System;
using System.Drawing;
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[] valueArray1 = DataGen.RandomNormal(random, 350, 72, 7 );
            double[] valueArray2 = DataGen.RandomNormal(random, 420, 57, 10);
            double[] valueArray3 = DataGen.RandomNormal(random, 230, 79, 5 );

            Population[] populationArray1 = new Population[] { new Population(valueArray1) };
            Population[] populationArray2 = new Population[] { new Population(valueArray2) };
            Population[] populationArray3 = new Population[] { new Population(valueArray3) };

            PopulationSeries populationSeries1 = new PopulationSeries(populationArray1, "클래스 1");
            PopulationSeries populationSeries2 = new PopulationSeries(populationArray2, "클래스 2");
            PopulationSeries populationSeries3 = new PopulationSeries(populationArray3, "클래스 3");

            PopulationSeries[] populationSeriesArray = new PopulationSeries[]
            {
                populationSeries1,
                populationSeries2,
                populationSeries3
            };

            PopulationMultiSeries populationMultiSeries = new PopulationMultiSeries(populationSeriesArray);

            PopulationPlot populationPlot = plot.AddPopulations(populationMultiSeries);

            populationPlot.DistributionCurve          = true;
            populationPlot.DistributionCurveLineStyle = LineStyle.Dash;
            populationPlot.ScatterOutlineColor        = Color.Transparent;
            populationPlot.DataFormat                 = PopulationPlot.DisplayItems.ScatterAndBox;
            populationPlot.DataBoxStyle               = PopulationPlot.BoxStyle.BarMeanStDev;

            foreach(PopulationSeries populationSeries in populationPlot.MultiSeries.multiSeries)
            {
                populationSeries.color = Tools.GetRandomColor(random);
            }

            plot.Legend(location : Alignment.LowerLeft);

            plot.XAxis.Ticks(false);
            plot.XAxis.Grid(false);

            plot.YAxis.MajorGrid(lineStyle: LineStyle.Dot);

            plot.SetAxisLimits(yMin: 0);

            this.formsPlot.Reset(plot);

            this.formsPlot.Refresh();
        }

        #endregion
    }
}

using System;

using System.Drawing;

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[] valueArray1 = DataGen.RandomNormal(random, 350, 72, 7 );

double[] valueArray2 = DataGen.RandomNormal(random, 420, 57, 10);

double[] valueArray3 = DataGen.RandomNormal(random, 230, 79, 5 );

Population[] populationArray1 = new Population[] { new Population(valueArray1) };

Population[] populationArray2 = new Population[] { new Population(valueArray2) };

Population[] populationArray3 = new Population[] { new Population(valueArray3) };

PopulationSeries populationSeries1 = new PopulationSeries(populationArray1, "클래스 1");

PopulationSeries populationSeries2 = new PopulationSeries(populationArray2, "클래스 2");

PopulationSeries populationSeries3 = new PopulationSeries(populationArray3, "클래스 3");

PopulationSeries[] populationSeriesArray = new PopulationSeries[]

{

populationSeries1,

populationSeries2,

populationSeries3

};

PopulationMultiSeries populationMultiSeries = new PopulationMultiSeries(populationSeriesArray);

PopulationPlot populationPlot = plot.AddPopulations(populationMultiSeries);

populationPlot.DistributionCurve = true;

populationPlot.DistributionCurveLineStyle = LineStyle.Dash;

populationPlot.ScatterOutlineColor = Color.Transparent;

populationPlot.DataFormat = PopulationPlot.DisplayItems.ScatterAndBox;

populationPlot.DataBoxStyle = PopulationPlot.BoxStyle.BarMeanStDev;

foreach(PopulationSeries populationSeries in populationPlot.MultiSeries.multiSeries)

{

populationSeries.color = Tools.GetRandomColor(random);

}

plot.Legend(location : Alignment.LowerLeft);

plot.XAxis.Ticks(false);

plot.XAxis.Grid(false);

plot.YAxis.MajorGrid(lineStyle: LineStyle.Dot);

plot.SetAxisLimits(yMin: 0);

this.formsPlot.Reset(plot);

this.formsPlot.Refresh();

}

#endregion

}

TestProject.zip

[C#/WINFORM/SCOTTPLOT] Plot 클래스 : AddPopulations 메소드를 사용해 복수 시리즈 모집단 차트 그리기

■ Plot 클래스의 AddPopulations 메소드를 사용해 복수 시리즈 모집단 차트를 그리는 방법을 보여준다. ▶ MainForm.cs


using System;
using System.Windows.Forms;

using ScottPlot;
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[] valueArray1A = DataGen.RandomNormal(random, 350, 85, 5);
            double[] valueArray1B = DataGen.RandomNormal(random, 350, 84, 3);
            double[] valueArray1C = DataGen.RandomNormal(random, 350, 80, 5);
            double[] valueArray1D = DataGen.RandomNormal(random, 350, 91, 2);

            double[] valueArray2A = DataGen.RandomNormal(random, 420, 87, 5);
            double[] valueArray2B = DataGen.RandomNormal(random, 420, 88, 3);
            double[] valueArray2C = DataGen.RandomNormal(random, 420, 90, 5);
            double[] valueArray2D = DataGen.RandomNormal(random, 420, 93, 2);

            double[] valueArray3A = DataGen.RandomNormal(random, 230, 82, 5);
            double[] valueArray3B = DataGen.RandomNormal(random, 230, 84, 3);
            double[] valueArray3C = DataGen.RandomNormal(random, 230, 85, 5);
            double[] valueArray3D = DataGen.RandomNormal(random, 230, 90, 2);

            Population[] populationArray1 = new Population[]
            {
                new Population(valueArray1A),
                new Population(valueArray1B),
                new Population(valueArray1C),
                new Population(valueArray1D)
            };

            Population[] populationArray2 = new Population[]
            {
                new Population(valueArray2A),
                new Population(valueArray2B),
                new Population(valueArray2C),
                new Population(valueArray2D)
            };

            Population[] populationArray3 = new Population[]
            {
                new Population(valueArray3A),
                new Population(valueArray3B),
                new Population(valueArray3C),
                new Population(valueArray3D)
            };

            PopulationSeries populationSeries1 = new PopulationSeries(populationArray1, "클래스 1");
            PopulationSeries populationSeries2 = new PopulationSeries(populationArray2, "클래스 2");
            PopulationSeries populationSeries3 = new PopulationSeries(populationArray3, "클래스 3");

            PopulationSeries[] populationSeriesArray = new PopulationSeries[]
            {
                populationSeries1,
                populationSeries2,
                populationSeries3
            };

            PopulationMultiSeries populationMultiSeries = new PopulationMultiSeries(populationSeriesArray);

            plot.AddPopulations(populationMultiSeries);

            string[] groupNames = new string[] { "1월", "2월", "3월", "4월" };

            plot.XTicks(groupNames);

            plot.XAxis.Grid(false);

            plot.Legend();

            this.formsPlot.Reset(plot);

            this.formsPlot.Refresh();
        }

        #endregion
    }
}

100

101

using System;

using System.Windows.Forms;

using ScottPlot;

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[] valueArray1A = DataGen.RandomNormal(random, 350, 85, 5);

double[] valueArray1B = DataGen.RandomNormal(random, 350, 84, 3);

double[] valueArray1C = DataGen.RandomNormal(random, 350, 80, 5);

double[] valueArray1D = DataGen.RandomNormal(random, 350, 91, 2);

double[] valueArray2A = DataGen.RandomNormal(random, 420, 87, 5);

double[] valueArray2B = DataGen.RandomNormal(random, 420, 88, 3);

double[] valueArray2C = DataGen.RandomNormal(random, 420, 90, 5);

double[] valueArray2D = DataGen.RandomNormal(random, 420, 93, 2);

double[] valueArray3A = DataGen.RandomNormal(random, 230, 82, 5);

double[] valueArray3B = DataGen.RandomNormal(random, 230, 84, 3);

double[] valueArray3C = DataGen.RandomNormal(random, 230, 85, 5);

double[] valueArray3D = DataGen.RandomNormal(random, 230, 90, 2);

Population[] populationArray1 = new Population[]

{

new Population(valueArray1A),

new Population(valueArray1B),

new Population(valueArray1C),

new Population(valueArray1D)

};

Population[] populationArray2 = new Population[]

{

new Population(valueArray2A),

new Population(valueArray2B),

new Population(valueArray2C),

new Population(valueArray2D)

};

Population[] populationArray3 = new Population[]

{

new Population(valueArray3A),

new Population(valueArray3B),

new Population(valueArray3C),

new Population(valueArray3D)

};

PopulationSeries populationSeries1 = new PopulationSeries(populationArray1, "클래스 1");

PopulationSeries populationSeries2 = new PopulationSeries(populationArray2, "클래스 2");

PopulationSeries populationSeries3 = new PopulationSeries(populationArray3, "클래스 3");

PopulationSeries[] populationSeriesArray = new PopulationSeries[]

{

populationSeries1,

populationSeries2,

populationSeries3

};

PopulationMultiSeries populationMultiSeries = new PopulationMultiSeries(populationSeriesArray);

plot.AddPopulations(populationMultiSeries);

string[] groupNames = new string[] { "1월", "2월", "3월", "4월" };

plot.XTicks(groupNames);

plot.XAxis.Grid(false);

plot.Legend();

this.formsPlot.Reset(plot);

this.formsPlot.Refresh();

}

#endregion

}

TestProject.zip

[C#/WINFORM/SCOTTPLOT] PopulationPlot 클래스 : DataFormat/DataBoxStyle 속성을 사용해 막대 위에서 데이터 포인트 그리기

■ PopulationPlot 클래스의 DataFormat/DataBoxStyle 속성을 사용해 막대 위에서 데이터 포인트를 그리는 방법을 보여준다. ▶ MainForm.cs


using System;
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[] valueArray1 = DataGen.RandomNormal(random, 350, 85, 5);
            double[] valueArray2 = DataGen.RandomNormal(random, 420, 87, 3);
            double[] valueArray3 = DataGen.RandomNormal(random, 230, 92, 3);

            Population population1 = new Population(valueArray1);
            Population population2 = new Population(valueArray2);
            Population population3 = new Population(valueArray3);

            Population[] poulationArray      = new Population[] { population1, population2, population3 };
            string[]     populationNameArray = { "그룹 1", "그룹 2", "그룹 3" };

            PopulationPlot populationPlot = plot.AddPopulations(poulationArray);

            populationPlot.DistributionCurve = false;
            populationPlot.DataFormat        = PopulationPlot.DisplayItems.ScatterOnBox;
            populationPlot.DataBoxStyle      = PopulationPlot.BoxStyle.BarMeanStDev;

            plot.XAxis.Grid(false);

            plot.XTicks(populationNameArray);

            this.formsPlot.Reset(plot);

            this.formsPlot.Refresh();
        }

        #endregion
    }
}

using System;

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[] valueArray1 = DataGen.RandomNormal(random, 350, 85, 5);

double[] valueArray2 = DataGen.RandomNormal(random, 420, 87, 3);

double[] valueArray3 = DataGen.RandomNormal(random, 230, 92, 3);

Population population1 = new Population(valueArray1);

Population population2 = new Population(valueArray2);

Population population3 = new Population(valueArray3);

Population[] poulationArray = new Population[] { population1, population2, population3 };

string[] populationNameArray = { "그룹 1", "그룹 2", "그룹 3" };

PopulationPlot populationPlot = plot.AddPopulations(poulationArray);

populationPlot.DistributionCurve = false;

populationPlot.DataFormat = PopulationPlot.DisplayItems.ScatterOnBox;

populationPlot.DataBoxStyle = PopulationPlot.BoxStyle.BarMeanStDev;

plot.XAxis.Grid(false);

plot.XTicks(populationNameArray);

this.formsPlot.Reset(plot);

this.formsPlot.Refresh();

}

#endregion

}

TestProject.zip

[C#/WINFORM/SCOTTPLOT] Plot 클래스 : AddPopulations 메소드를 사용해 복수 모집단 차트 그리기

■ Plot 클래스의 AddPopulations 메소드를 사용해 복수 모집단 차트를 그리는 방법을 보여준다. ▶ MainForm.cs


using System;
using System.Windows.Forms;

using ScottPlot;
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[] valueArray1 = DataGen.RandomNormal(random, 350, 85, 5);
            double[] valueArray2 = DataGen.RandomNormal(random, 420, 87, 3);
            double[] valueArray3 = DataGen.RandomNormal(random, 230, 92, 3);

            Population population1 = new Population(valueArray1);
            Population population2 = new Population(valueArray2);
            Population population3 = new Population(valueArray3);

            Population[] poulationArray      = new Population[] { population1, population2, population3 };
            string[]     populationNameArray = { "그룹 1", "그룹 2", "그룹 3" };

            plot.AddPopulations(poulationArray);

            plot.XAxis.Grid(false);

            plot.XTicks(populationNameArray);

            this.formsPlot.Reset(plot);

            this.formsPlot.Refresh();
        }

        #endregion
    }
}

using System;

using System.Windows.Forms;

using ScottPlot;

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[] valueArray1 = DataGen.RandomNormal(random, 350, 85, 5);

double[] valueArray2 = DataGen.RandomNormal(random, 420, 87, 3);

double[] valueArray3 = DataGen.RandomNormal(random, 230, 92, 3);

Population population1 = new Population(valueArray1);

Population population2 = new Population(valueArray2);

Population population3 = new Population(valueArray3);

Population[] poulationArray = new Population[] { population1, population2, population3 };

string[] populationNameArray = { "그룹 1", "그룹 2", "그룹 3" };

plot.AddPopulations(poulationArray);

plot.XAxis.Grid(false);

plot.XTicks(populationNameArray);

this.formsPlot.Reset(plot);

this.formsPlot.Refresh();

}

#endregion

}

TestProject.zip

[C#/WINFORM/SCOTTPLOT] Plot 클래스 : AddPopulation 메소드를 사용해 모집단 차트 그리기

■ Plot 클래스의 AddPopulation 메소드를 사용해 모집단 차트를 그리는 방법을 보여준다. ▶ MainForm.cs


using System;
using System.Windows.Forms;

using ScottPlot;
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[] scoreArray = DataGen.RandomNormal(random, 350, 85, 5);

            Population population = new Population(scoreArray);

            plot.Title($"평균 : {population.mean} +/- {population.stdErr}");

            plot.AddPopulation(population);

            plot.XAxis.Ticks(true);
            plot.XAxis.Grid(false);

            this.formsPlot.Reset(plot);

            this.formsPlot.Refresh();
        }

        #endregion
    }
}

using System;

using System.Windows.Forms;

using ScottPlot;

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[] scoreArray = DataGen.RandomNormal(random, 350, 85, 5);

Population population = new Population(scoreArray);

plot.Title($"평균 : {population.mean} +/- {population.stdErr}");

plot.AddPopulation(population);

plot.XAxis.Ticks(true);

plot.XAxis.Grid(false);

this.formsPlot.Reset(plot);

this.formsPlot.Refresh();

}

#endregion

}

TestProject.zip