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

TestProject.zip

0.01MB

▶ 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
    }
}