C# Online Compiler | .NET Fiddle

<no name> by Anonymous

using System;
using System.Linq;
using MathNet.Numerics.LinearAlgebra;

public static class Extensions {
	public static Matrix<double> UniqueSorted(this Matrix<double> x, int sortByColumn = 0, bool desc = false) {
		var uq = x.EnumerateRows().Distinct();
		if (desc)
			return Matrix<double>.Build.DenseOfRows(uq.OrderByDescending(row => row[sortByColumn]));
		else
			return Matrix<double>.Build.DenseOfRows(uq.OrderBy(row => row[sortByColumn]));
    }
	
	public static Matrix<double> Unique(this Matrix<double> x) {
		return Matrix<double>.Build.DenseOfRows(x.EnumerateRows().Distinct());
	}
	
	public static Matrix<double> SortRows(this Matrix<double> x, int sortByColumn = 0, bool desc = false) {
		if (desc)
			return Matrix<double>.Build.DenseOfRows(x.EnumerateRows().OrderByDescending(row => row[sortByColumn]));
		else
			return Matrix<double>.Build.DenseOfRows(x.EnumerateRows().OrderBy(row => row[sortByColumn]));
	}
	
	public static void Print(this Matrix<double> x) {
		for (int i = 0; i < x.RowCount; i++)
		{
			for (int j = 0; j < x.ColumnCount; j++)
			{
				Console.Write(x[i, j]);
				Console.Write("\t");
			}

			Console.Write("\n");
		} 
	}
}

public class Program
{
	public static void Main(string[] args)
	{
		System.Random random = new System.Random();
		Matrix<double> x = Matrix<double>.Build.Dense(10, 3);
		for (int i = 0; i < x.RowCount; i++)
		{
			double r = random.NextDouble();
			x[i, 0] = r;
			if (i <= 4) 
				x[9-i, 0] = r;
			for (int j = 1; j < x.ColumnCount; j++) {
				x[i, j] = random.NextDouble();
			}
		}
				
		Console.WriteLine("X:");
		x.Print();
		

		var y = x.SortRows(0);
		Console.WriteLine("\nSorted by column 0:");
		y.Print();
		
		var z = x.SortRows(0, true);
		Console.WriteLine("\nSorted by column 0, descending:");
		z.Print();
			
		var a = x + 0;
		for (int i = 0; i < 4; i++) {
			a.SetRow(9 - i, x.Row(i));
		}
		Console.WriteLine("\nMatrix with duplicates:");
		a.Print();
		
		var b = a.Unique();
		Console.WriteLine("\nRemoved duplicates:");
		b.Print();
		
		var c = a.UniqueSorted(0);
		Console.WriteLine("\nRemoved duplicates & sorted:");
		c.Print();
			
	}
}

​x
 
using System;
using System.Linq;
using MathNet.Numerics.LinearAlgebra;
​
public static class Extensions {
    public static Matrix<double> UniqueSorted(this Matrix<double> x, int sortByColumn = 0, bool desc = false) {
        var uq = x.EnumerateRows().Distinct();
        if (desc)
            return Matrix<double>.Build.DenseOfRows(uq.OrderByDescending(row => row[sortByColumn]));
        else
            return Matrix<double>.Build.DenseOfRows(uq.OrderBy(row => row[sortByColumn]));
    }
    
    public static Matrix<double> Unique(this Matrix<double> x) {
        return Matrix<double>.Build.DenseOfRows(x.EnumerateRows().Distinct());
    }
    
    public static Matrix<double> SortRows(this Matrix<double> x, int sortByColumn = 0, bool desc = false) {
        if (desc)
            return Matrix<double>.Build.DenseOfRows(x.EnumerateRows().OrderByDescending(row => row[sortByColumn]));
        else
            return Matrix<double>.Build.DenseOfRows(x.EnumerateRows().OrderBy(row => row[sortByColumn]));
    }
    
    public static void Print(this Matrix<double> x) {
        for (int i = 0; i < x.RowCount; i++)
        {
            for (int j = 0; j < x.ColumnCount; j++)
            {
                Console.Write(x[i, j]);
                Console.Write("\t");
            }
​
            Console.Write("\n");
        } 
    }
}
​
public class Program
{
    public static void Main(string[] args)
    {
        System.Random random = new System.Random();
        Matrix<double> x = Matrix<double>.Build.Dense(10, 3);
        for (int i = 0; i < x.RowCount; i++)
        {
            double r = random.NextDouble();
            x[i, 0] = r;
            if (i <= 4) 
                x[9-i, 0] = r;
            for (int j = 1; j < x.ColumnCount; j++) {
                x[i, j] = random.NextDouble();
            }
        }
                
        Console.WriteLine("X:");
        x.Print();
        
​
        var y = x.SortRows(0);
        Console.WriteLine("\nSorted by column 0:");
        y.Print();
        
        var z = x.SortRows(0, true);
        Console.WriteLine("\nSorted by column 0, descending:");
        z.Print();
            
        var a = x + 0;
        for (int i = 0; i < 4; i++) {
            a.SetRow(9 - i, x.Row(i));
        }
        Console.WriteLine("\nMatrix with duplicates:");
        a.Print();
        
        var b = a.Unique();
        Console.WriteLine("\nRemoved duplicates:");
        b.Print();
        
        var c = a.UniqueSorted(0);
        Console.WriteLine("\nRemoved duplicates & sorted:");
        c.Print();
            
    }
}

X:
0.8266216513346175    0.759428142486302    0.7250110339610205
0.4282131173501973    0.9581804012185645    0.76274043212642
0.167430009136185    0.9949305490175625    0.10798912290116203
0.7909492565325184    0.77885195370389    0.949964415656919
0.7811539241798523    0.5439699530993279    0.5602778341955643
0.2099206716887867    0.5492814819139474    0.5314392470287121
0.7506900025781426    0.4789843668398025    0.3159808769888962
0.841547305488361    0.4594467453306669    0.41238487835188953
0.8148526583385781    0.48487642669057796    0.6460091006953906
0.2615050406196576    0.9568428711090832    0.7277846020613844

Sorted by column 0:
0.167430009136185    0.9949305490175625    0.10798912290116203
0.2099206716887867    0.5492814819139474    0.5314392470287121
0.2615050406196576    0.9568428711090832    0.7277846020613844
0.4282131173501973    0.9581804012185645    0.76274043212642
0.7506900025781426    0.4789843668398025    0.3159808769888962
0.7811539241798523    0.5439699530993279    0.5602778341955643
0.7909492565325184    0.77885195370389    0.949964415656919
0.8148526583385781    0.48487642669057796    0.6460091006953906
0.8266216513346175    0.759428142486302    0.7250110339610205
0.841547305488361    0.4594467453306669    0.41238487835188953

Sorted by column 0, descending:
0.841547305488361    0.4594467453306669    0.41238487835188953
0.8266216513346175    0.759428142486302    0.7250110339610205
0.8148526583385781    0.48487642669057796    0.6460091006953906
0.7909492565325184    0.77885195370389    0.949964415656919
0.7811539241798523    0.5439699530993279    0.5602778341955643
0.7506900025781426    0.4789843668398025    0.3159808769888962
0.4282131173501973    0.9581804012185645    0.76274043212642
0.2615050406196576    0.9568428711090832    0.7277846020613844
0.2099206716887867    0.5492814819139474    0.5314392470287121
0.167430009136185    0.9949305490175625    0.10798912290116203

Matrix with duplicates:
0.8266216513346175    0.759428142486302    0.7250110339610205
0.4282131173501973    0.9581804012185645    0.76274043212642
0.167430009136185    0.9949305490175625    0.10798912290116203
0.7909492565325184    0.77885195370389    0.949964415656919
0.7811539241798523    0.5439699530993279    0.5602778341955643
0.2099206716887867    0.5492814819139474    0.5314392470287121
0.7909492565325184    0.77885195370389    0.949964415656919
0.167430009136185    0.9949305490175625    0.10798912290116203
0.4282131173501973    0.9581804012185645    0.76274043212642
0.8266216513346175    0.759428142486302    0.7250110339610205

Removed duplicates:
0.8266216513346175    0.759428142486302    0.7250110339610205
0.4282131173501973    0.9581804012185645    0.76274043212642
0.167430009136185    0.9949305490175625    0.10798912290116203
0.7909492565325184    0.77885195370389    0.949964415656919
0.7811539241798523    0.5439699530993279    0.5602778341955643
0.2099206716887867    0.5492814819139474    0.5314392470287121

Removed duplicates & sorted:
0.167430009136185    0.9949305490175625    0.10798912290116203
0.2099206716887867    0.5492814819139474    0.5314392470287121
0.4282131173501973    0.9581804012185645    0.76274043212642
0.7811539241798523    0.5439699530993279    0.5602778341955643
0.7909492565325184    0.77885195370389    0.949964415656919
0.8266216513346175    0.759428142486302    0.7250110339610205

Cached Result
Last Run:	4:31:02 pm
Compile:	0.235s
Execute:	0.08s
Memory:	6.77Mb
CPU:	0.315s

View IL Code