MS图表中的插值实现

Nit*_*jay 7 c# mschart winforms

我需要在Windows应用程序中的Ms-Chart中实现插值和外推.

对于插值我使用的是"MathNet"库.但我仍然没有意识到这一点.

我试着实现插值如下.

using MathNet.Numerics.Interpolation.Algorithms;

NevillePolynomialInterpolation objIterpolate = new NevillePolynomialInterpolation(Xpoints, Ypoints);

    double NewYValue;
    NewYValue = Math.Abs(objIterpolate.Interpolate(newValue); 
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NevillePolynomialInterpolation()作为第一个参数传入XPoints,这是我的图表的XValues数组.和Ypoints作为我的图表的YValues数组.

newValue作为XValue 传递以获得插值.

任何人都可以建议,这是正确的方法还是建议实施插值的正确方法.

Eho*_*ret 1

我设法创建了一个简短的示例,因此请告诉我我在下面粘贴的代码是否适合您。

我不太习惯 MathDotNet 库,但是 XML 文档足够漂亮,因此学习曲线并不陡峭,只是众多其他库中的另一个 .NET 库。

否则,您仍然可以访问图书馆网站查看他们的文档,除了几个我不确定是否涵盖插值的示例之外,您可能会找到与阅读 XML 文档相同的内容。您还可以检查 github 并查看您要处理的插值的实现。

当然,如果您坚持此处描述的算法,您也可以尝试从头开始实现: http: //en.wikipedia.org/wiki/Neville%27s_algorithm

无论如何,我认为您想利用 MathDotNet 库来执行 Neville 多项式插值,并在同一图表区域上显示原始数据和插值数据。

关于其他信息,可以在这里找到一些(仍然不要期望那么多):

关于 MS Chart,它就像处理任何其他 Winforms 控件一样,只需检查文档,如果有什么棘手的地方,请指出什么对您来说很难,我会​​尽力为您解释清楚。

到目前为止,说实话,我对你不明白的事情感到有点挣扎,是 MS Chart、MathDotNet 还是两者?哪一个对您来说是个问题?

不管怎样,没有什么特别的,只是将你的 X 和 Y 点传递给 MathDotNet 库(只要 X 和 Y 的底层实现IEnumerable<T>像数组一样实现T[]就可以了)。

然后图书馆会为你做所有的数学计算,你只需要使用Interpolate(...)给定的插值方法(您必须了解,这里的插值意味着一种插值引擎)。

我假设在您的代码片段中:XPointsYPoints都是IEnumerable<T>集合(因为您提到它们是数组),其中T是 的类型DoubleSingle或者任何适合您的 .NET Number Primitive 类型。

// Copyright: Nothing At All License
using System;
using System.Collections.Generic;
using System.Collections.ObjectModel;
using System.Diagnostics;
using System.Drawing;
using System.Linq;
using System.Runtime.InteropServices;
using System.Threading.Tasks;
using System.Windows.Forms;
using System.Windows.Forms.DataVisualization.Charting;
using MathNet.Numerics.Random;

namespace HelpSO
{
    public static class Program
    {
        [STAThread]
        public static void Main(params String[] arguments)
        {
            Application.EnableVisualStyles();
            Application.SetCompatibleTextRenderingDefault(false);

            var mainForm = new MainForm();

            Application.Run(mainForm);
        }
    }

    /// <summary>
    /// Main Form.
    /// </summary>
    public class MainForm : Form
    {
        /// <summary>
        /// Initializes the chart and cosmetics, make-up, glamour, etc..
        /// </summary>
        /// <returns>The chart.</returns>
        private static Chart InitializeChart()
        {
            var chart = new Chart()
            {
                Dock = DockStyle.Fill,      
            };

            const String defaultChartAreaName = @"Default";
            const String defaultLegendName = @"Default";
            const String defaultTitleName = @"Default";

            var chartArea = chart.ChartAreas.Add(defaultChartAreaName);

            var labelFont = new Font(@"Tahoma", 8f);

            var axisX = chartArea.AxisX;
            var axisY = chartArea.AxisY;

            axisX.Title = @"X";
            axisY.Title = @"Y";

            axisX.LabelStyle.Format = axisX.LabelStyle.Format = "F4";

            axisX.TitleFont = axisY.TitleFont = labelFont;
            axisX.LabelStyle.Font = axisY.LabelStyle.Font = labelFont;

            axisX.TitleAlignment = axisY.TitleAlignment = StringAlignment.Far;
            axisX.MajorGrid.Enabled = axisY.MajorGrid.Enabled = true;
            axisX.MinorGrid.Enabled = axisY.MinorGrid.Enabled = true;
            axisX.MinorGrid.LineDashStyle = axisY.MinorGrid.LineDashStyle = ChartDashStyle.Dash;
            axisX.MinorGrid.LineColor = axisY.MinorGrid.LineColor = Color.Gainsboro;

            var legend = chart.Legends.Add(defaultLegendName);
            legend.TitleSeparator = LegendSeparatorStyle.ThickGradientLine;
            legend.BorderColor = Color.Black;
            legend.Title = "Legend";

            var title = chart.Titles.Add(defaultTitleName);
            title.Text = @"My Awesome interpolated data";
            title.Font = new Font(title.Font.FontFamily, 12f);

            MainForm.InitializeChartSeries(chart);

            return chart;
        }

        /// <summary>
        /// Initializes the chart series and related data (raw and interpolated).
        /// </summary>
        /// <param name="chart">Chart.</param>
        private static void InitializeChartSeries(Chart chart)
        {
            const String rawDataSeriesName = @"Raw Data";
            const String interpolatedDataSeriesName = @"Interpolated Data";

            var rawDataSeries = chart.Series.Add(rawDataSeriesName);
            var interpolatedDataSeriesSeries = chart.Series.Add(interpolatedDataSeriesName);

            rawDataSeries.ChartType = SeriesChartType.FastLine;
            interpolatedDataSeriesSeries.ChartType = SeriesChartType.Spline;

            rawDataSeries.BorderWidth = interpolatedDataSeriesSeries.BorderWidth = 2;

            var rawDataPoints = DataFactory.GenerateDummySine(10, 1, 0.25);
            var interpolatedDataPoints = DataFactory.Interpolate(rawDataPoints, 10);

            rawDataSeries.Points.DataBind(rawDataPoints, @"X", @"Y", String.Empty);
            interpolatedDataSeriesSeries.Points.DataBind(interpolatedDataPoints, @"X", @"Y", String.Empty);
        }

        /// <summary>
        /// Initializes a new instance of the <see cref="HelpSO.MainForm"/> class.
        /// </summary>
        public MainForm()
        {
            this.StartPosition = FormStartPosition.CenterScreen;

            var chart = MainForm.InitializeChart();

            this.Controls.Add(chart);
        }
    }

    /// <summary>
    /// Data Factory.
    /// </summary>
    public static class DataFactory
    {
        /// <summary>
        /// Generates a dummy sine.
        /// </summary>
        /// <returns>The dummy sine.</returns>
        /// <param name="count">Count.</param>
        /// <param name="amplitude">Amplitude.</param>
        /// <param name="noiseAmplitude">Noise amplitude.</param>
        public static IList<Point2D<Double, Double>> GenerateDummySine(UInt16 count, Double amplitude, Double noiseAmplitude)
        {
            if (count < 2)
            {
                throw new ArgumentOutOfRangeException(@"count");
            }
            else
            {
                var dummySinePoints = new List<Point2D<Double, Double>>();

                var random = new Random();

                var xStep = 1.0 / count;

                for (var x = 0.0; x < 1.0; x += xStep) 
                {
                    var y = amplitude * Math.Sin(2f * Math.PI * x) + random.NextDouble() * noiseAmplitude;

                    var dummySinePoint = new Point2D<Double, Double>(x, y);

                    dummySinePoints.Add(dummySinePoint);
                }

                return dummySinePoints;
            }
        }

        /// <summary>
        /// Interpolate the specified source.
        /// </summary>
        /// <param name="source">Source.</param>
        /// <param name="countRatio">Count ratio.</param>
        public static IList<Point2D<Double, Double>> Interpolate(IList<Point2D<Double, Double>> source, UInt16 countRatio)
        {
            if (countRatio == 0)
            {
                throw new ArgumentOutOfRangeException(@"countRatio");
            }
            else if (source.Count < 2)
            {
                throw new ArgumentOutOfRangeException(@"source");
            }
            else
            {

                var rawDataPointsX = source.Select(item => item.X);
                var rawDataPointsY = source.Select(item => item.Y);

                // Could be done within one loop only... so far I'm pretty busy will update that example later
                var xMin = rawDataPointsX.Min();
                var xMax = rawDataPointsX.Max();

                // Different Kinds of interpolation here... it's all up to you o pick up the one that's gonna match your own situation
                // var interpolation = MathNet.Numerics.Interpolation.NevillePolynomialInterpolation.Interpolate(rawDataPointsX, rawDataPointsY);
                var interpolation = MathNet.Numerics.Interpolation.CubicSpline.InterpolateNatural(rawDataPointsX, rawDataPointsY);

                var listCopy = source.ToList();

                var xStep = (xMax - xMin) / (source.Count * countRatio);

                for (var x = xMin; x <= xMax; x += xStep)
                {
                    var y = interpolation.Interpolate(x);

                    var point2D = new Point2D<Double, Double>(x, y);

                    listCopy.Add(point2D);
                }

                return listCopy;
            }
        }
    }

    // C# lacks, for ***now***, generic constraints for primitive "numbers"
    public struct Point2D<TX, TY>
        where TX : struct, IComparable, IFormattable, IConvertible, IComparable<TX>, IEquatable<TX>
        where TY : struct, IComparable, IFormattable, IConvertible, IComparable<TY>, IEquatable<TY>
    {
        public static Point2D<TX, TY> Empty = new Point2D<TX, TY>();

        public Point2D(TX x, TY y)
        {
            this._x = x;
            this._y = y;
        }

        // C# 6 I miss you here: sad
        private readonly TY _y;
        public TY Y
        {
            get
            {
                return this._y;
            }
        }

        // and there too :-(
        private readonly TX _x;
        public TX X
        {
            get
            {
                return this._x;
            }
        }
    }
}
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