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:
0.20376542838857725    0.25694519678516525    0.9616262660452365
0.8331187327789047    0.696541091428264    0.011879865062057404
0.00808937130396703    0.2951862198325421    0.778403103448776
0.22909017014820054    0.8179438298680883    0.2239133246215277
0.7623635461194298    0.8314827871768693    0.5413589856941073
0.22815042074898173    0.9388483133879201    0.21724371286904964
0.28865924061886206    0.8039139359124917    0.5416705293566758
0.9022709228799444    0.20403086269258375    0.922893383483019
0.27518697092345445    0.6348663847295027    0.6104699076136949
0.002290446177476424    0.8690362150299387    0.7430464108864658

Sorted by column 0:
0.002290446177476424    0.8690362150299387    0.7430464108864658
0.00808937130396703    0.2951862198325421    0.778403103448776
0.20376542838857725    0.25694519678516525    0.9616262660452365
0.22815042074898173    0.9388483133879201    0.21724371286904964
0.22909017014820054    0.8179438298680883    0.2239133246215277
0.27518697092345445    0.6348663847295027    0.6104699076136949
0.28865924061886206    0.8039139359124917    0.5416705293566758
0.7623635461194298    0.8314827871768693    0.5413589856941073
0.8331187327789047    0.696541091428264    0.011879865062057404
0.9022709228799444    0.20403086269258375    0.922893383483019

Sorted by column 0, descending:
0.9022709228799444    0.20403086269258375    0.922893383483019
0.8331187327789047    0.696541091428264    0.011879865062057404
0.7623635461194298    0.8314827871768693    0.5413589856941073
0.28865924061886206    0.8039139359124917    0.5416705293566758
0.27518697092345445    0.6348663847295027    0.6104699076136949
0.22909017014820054    0.8179438298680883    0.2239133246215277
0.22815042074898173    0.9388483133879201    0.21724371286904964
0.20376542838857725    0.25694519678516525    0.9616262660452365
0.00808937130396703    0.2951862198325421    0.778403103448776
0.002290446177476424    0.8690362150299387    0.7430464108864658

Matrix with duplicates:
0.20376542838857725    0.25694519678516525    0.9616262660452365
0.8331187327789047    0.696541091428264    0.011879865062057404
0.00808937130396703    0.2951862198325421    0.778403103448776
0.22909017014820054    0.8179438298680883    0.2239133246215277
0.7623635461194298    0.8314827871768693    0.5413589856941073
0.22815042074898173    0.9388483133879201    0.21724371286904964
0.22909017014820054    0.8179438298680883    0.2239133246215277
0.00808937130396703    0.2951862198325421    0.778403103448776
0.8331187327789047    0.696541091428264    0.011879865062057404
0.20376542838857725    0.25694519678516525    0.9616262660452365

Removed duplicates:
0.20376542838857725    0.25694519678516525    0.9616262660452365
0.8331187327789047    0.696541091428264    0.011879865062057404
0.00808937130396703    0.2951862198325421    0.778403103448776
0.22909017014820054    0.8179438298680883    0.2239133246215277
0.7623635461194298    0.8314827871768693    0.5413589856941073
0.22815042074898173    0.9388483133879201    0.21724371286904964

Removed duplicates & sorted:
0.00808937130396703    0.2951862198325421    0.778403103448776
0.20376542838857725    0.25694519678516525    0.9616262660452365
0.22815042074898173    0.9388483133879201    0.21724371286904964
0.22909017014820054    0.8179438298680883    0.2239133246215277
0.7623635461194298    0.8314827871768693    0.5413589856941073
0.8331187327789047    0.696541091428264    0.011879865062057404

Cached Result
Last Run:	1:51:56 am
Compile:	0.197s
Execute:	0.08s
Memory:	6.47Mb
CPU:	0.277s

View IL Code