[C#/WINFORM/SCOTTPLOT] SignalPlot 클래스 : DensityColors/Color 속성을 사용해 밀도별 색상 표시하기

■ SignalPlot 클래스의 DensityColors/Color 속성을 사용해 밀도별 색상을 표시하는 방법을 보여준다.

▶ MainForm.cs


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

using ScottPlot;
using ScottPlot.Plottable;

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 rand = new Random(0);

            int pointCount = 100000;

            double[] signal1 = DataGen.Sin(pointCount, 3);
            double[] noise = DataGen.RandomNormal(rand, pointCount, 0, 5);
            double[] data = new double[pointCount];

            for(int i = 0; i < data.Length; i++)
            {
                data[i] = signal1[i] + noise[i];
            }

            SignalPlot signalPlot1 = plot.AddSignal(data);

            signalPlot1.OffsetY = -40;
            signalPlot1.Color   = Color.Red;

            string[] colorCodeArray = { "#440154", "#39568C", "#1F968B", "#73D055" };
            Color[]  colorArray     = colorCodeArray.Select(x => ColorTranslator.FromHtml(x)).ToArray();

            SignalPlot signalPlot2 = plot.AddSignal(data);

            signalPlot2.DensityColors = colorArray;
            signalPlot2.Color         = colorArray[0];

            plot.Title("밀도별 색상 대 단일 색상");

            plot.AxisAuto(0, 0.1);

            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;

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 rand = new Random(0);

int pointCount = 100000;

double[] signal1 = DataGen.Sin(pointCount, 3);

double[] noise = DataGen.RandomNormal(rand, pointCount, 0, 5);

double[] data = new double[pointCount];

for(int i = 0; i < data.Length; i++)

{

data[i] = signal1[i] + noise[i];

}

SignalPlot signalPlot1 = plot.AddSignal(data);

signalPlot1.OffsetY = -40;

signalPlot1.Color = Color.Red;

string[] colorCodeArray = { "#440154", "#39568C", "#1F968B", "#73D055" };

Color[] colorArray = colorCodeArray.Select(x => ColorTranslator.FromHtml(x)).ToArray();

SignalPlot signalPlot2 = plot.AddSignal(data);

signalPlot2.DensityColors = colorArray;

signalPlot2.Color = colorArray[0];

plot.Title("밀도별 색상 대 단일 색상");

plot.AxisAuto(0, 0.1);

this.formsPlot.Reset(plot);

this.formsPlot.Refresh();

}

#endregion

}

TestProject.zip