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);
我在NevillepolynomialInterpolation()中传递XPoints作为第一个参数,它是我的图表的XValues数组.和Ypoints作为我的图表的YValues数组.
我传递newValue作为XValue获取插值.
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.
解决方法
我设法创建了一个简短的示例,所以让我知道我粘贴在下面的代码是否适合你.
我并不习惯MathDotNet库,但是XML文档已经足够了,所以学习曲线并不像其他许多.NET库那样陡峭.
否则你仍然可以去图书馆网站查看他们的文档,除了几个我不确定涵盖插值的例子之外,你可能会发现通过阅读XML文档得到的相同的东西.您还可以检查github以及您要处理的插值的实现.
当然,如果你坚持这里描述的算法,你也可以尝试从头开始实现：http://en.wikipedia.org/wiki/Neville%27s_algorithm
无论如何,我认为你想利用MathDotNet库来执行Neville多项式插值,并在同一图表区域上显示原始和插值数据.
关于其他信息可以在这里找到(仍然不要指望那么多)：
> MS图表：
> http://www.4guysfromrolla.com/articles/072209-1.aspx
> https://code.msdn.microsoft.com/Samples-Environments-for-b01e9c61
> https://msdn.microsoft.com/en-us/library/system.windows.forms.datavisualization.charting.chart(v=vs.110).aspx
> MathDotNet：http://numerics.mathdotnet.com/Regression.html
关于MS Chart,它就像处理任何其他Winforms控件一样,只需检查文档,如果有一些棘手的问题指出对你来说有什么困难,我会尽力为你说清楚.
到目前为止,并且完全诚实,我正在努力解决你不理解的问题,它是MS Chart,MathDotNet,两者兼而有之？哪一个对你有问题？
无论如何,没有什么真正的花哨,只是将你的X和Y点传递给MathDotNet库(只要Xs和Ys的底层实现正在实现IEnumerable< T>就像数组T []一样好).
然后库正在为你做所有的数学运算,你只需要使用插值的插值(…)方法(你必须理解插值这里的插值是一种插值引擎).
我假设在你的代码片段中：XPoints和YPoints都是IEnumerable< T>集合(因为你提到它们是数组),其中T是Double,Single或任何适合你的.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,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,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<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;
}
}
}
}
随意提出更多相关问题.