最好的方法是什么?很难说，HashSet方法看起来很快， 但是(取决于数据)使用排序算法(CountSort ?) 可以快得多。

using System;
using System.Collections.Generic;
using System.Linq;
class Program
{
    static void Main()
    {
        Random r = new Random(0); int[] a, b = new int[1000000];
        for (int i = b.Length - 1; i >= 0; i--) b[i] = r.Next(b.Length);
        a = new int[b.Length]; Array.Copy(b, a, b.Length);
        a = dedup0(a); Console.WriteLine(a.Length);
        a = new int[b.Length]; Array.Copy(b, a, b.Length);
        var w = System.Diagnostics.Stopwatch.StartNew();
        a = dedup0(a); Console.WriteLine(w.Elapsed); Console.Read();
    }

    static int[] dedup0(int[] a)  // 48 ms  
    {
        return new HashSet<int>(a).ToArray();
    }

    static int[] dedup1(int[] a)  // 68 ms
    {
        Array.Sort(a); int i = 0, j = 1, k = a.Length; if (k < 2) return a;
        while (j < k) if (a[i] == a[j]) j++; else a[++i] = a[j++];
        Array.Resize(ref a, i + 1); return a;
    }

    static int[] dedup2(int[] a)  //  8 ms
    {
        var b = new byte[a.Length]; int c = 0;
        for (int i = 0; i < a.Length; i++) 
            if (b[a[i]] == 0) { b[a[i]] = 1; c++; }
        a = new int[c];
        for (int j = 0, i = 0; i < b.Length; i++) if (b[i] > 0) a[j++] = i;
        return a;
    }
}

几乎没有分支。怎么做?调试模式，步进(F11)与一个小数组:{1,3,1,1,0}

    static int[] dedupf(int[] a)  //  4 ms
    {
        if (a.Length < 2) return a;
        var b = new byte[a.Length]; int c = 0, bi, ai, i, j;
        for (i = 0; i < a.Length; i++)
        { ai = a[i]; bi = 1 ^ b[ai]; b[ai] |= (byte)bi; c += bi; }
        a = new int[c]; i = 0; while (b[i] == 0) i++; a[0] = i++;
        for (j = 0; i < b.Length; i++) a[j += bi = b[i]] += bi * i; return a;
    }

有两个嵌套循环的解决方案可能需要一些时间， 特别是对于较大的数组。

    static int[] dedup(int[] a)
    {
        int i, j, k = a.Length - 1;
        for (i = 0; i < k; i++)
            for (j = i + 1; j <= k; j++) if (a[i] == a[j]) a[j--] = a[k--];
        Array.Resize(ref a, k + 1); return a;
    }

最好的方法是什么?很难说，HashSet方法看起来很快， 但是(取决于数据)使用排序算法(CountSort ?) 可以快得多。

using System;
using System.Collections.Generic;
using System.Linq;
class Program
{
    static void Main()
    {
        Random r = new Random(0); int[] a, b = new int[1000000];
        for (int i = b.Length - 1; i >= 0; i--) b[i] = r.Next(b.Length);
        a = new int[b.Length]; Array.Copy(b, a, b.Length);
        a = dedup0(a); Console.WriteLine(a.Length);
        a = new int[b.Length]; Array.Copy(b, a, b.Length);
        var w = System.Diagnostics.Stopwatch.StartNew();
        a = dedup0(a); Console.WriteLine(w.Elapsed); Console.Read();
    }

    static int[] dedup0(int[] a)  // 48 ms  
    {
        return new HashSet<int>(a).ToArray();
    }

    static int[] dedup1(int[] a)  // 68 ms
    {
        Array.Sort(a); int i = 0, j = 1, k = a.Length; if (k < 2) return a;
        while (j < k) if (a[i] == a[j]) j++; else a[++i] = a[j++];
        Array.Resize(ref a, i + 1); return a;
    }

    static int[] dedup2(int[] a)  //  8 ms
    {
        var b = new byte[a.Length]; int c = 0;
        for (int i = 0; i < a.Length; i++) 
            if (b[a[i]] == 0) { b[a[i]] = 1; c++; }
        a = new int[c];
        for (int j = 0, i = 0; i < b.Length; i++) if (b[i] > 0) a[j++] = i;
        return a;
    }
}

几乎没有分支。怎么做?调试模式，步进(F11)与一个小数组:{1,3,1,1,0}

    static int[] dedupf(int[] a)  //  4 ms
    {
        if (a.Length < 2) return a;
        var b = new byte[a.Length]; int c = 0, bi, ai, i, j;
        for (i = 0; i < a.Length; i++)
        { ai = a[i]; bi = 1 ^ b[ai]; b[ai] |= (byte)bi; c += bi; }
        a = new int[c]; i = 0; while (b[i] == 0) i++; a[0] = i++;
        for (j = 0; i < b.Length; i++) a[j += bi = b[i]] += bi * i; return a;
    }

有两个嵌套循环的解决方案可能需要一些时间， 特别是对于较大的数组。

    static int[] dedup(int[] a)
    {
        int i, j, k = a.Length - 1;
        for (i = 0; i < k; i++)
            for (j = i + 1; j <= k; j++) if (a[i] == a[j]) a[j--] = a[k--];
        Array.Resize(ref a, k + 1); return a;
    }

下面经过测试和工作的代码将从数组中删除重复项。你必须包括系统。集合名称空间。

string[] sArray = {"a", "b", "b", "c", "c", "d", "e", "f", "f"};
var sList = new ArrayList();

for (int i = 0; i < sArray.Length; i++) {
    if (sList.Contains(sArray[i]) == false) {
        sList.Add(sArray[i]);
    }
}

var sNew = sList.ToArray();

for (int i = 0; i < sNew.Length; i++) {
    Console.Write(sNew[i]);
}

如果你愿意，你可以把它打包成一个函数。

所以我在做一个面试时，得到了同样的问题来分类和区分

static void Sort()
    {
        try
        {
            int[] number = new int[Convert.ToInt32(Console.ReadLine())];
            for (int i = 0; i < number.Length; i++)
            {
                number[i] = Convert.ToInt32(Console.ReadLine());
            }
            Array.Sort(number);
            int[] num = number.Distinct().ToArray();
            for (int i = 0; i < num.Length; i++)
            {
                Console.WriteLine(num[i]);
            }
        }
        catch (Exception ex)
        {
            Console.WriteLine(ex);
        }
        Console.Read();
    }

protected void Page_Load(object sender, EventArgs e)
{
    string a = "a;b;c;d;e;v";
    string[] b = a.Split(';');
    string[] c = b.Distinct().ToArray();

    if (b.Length != c.Length)
    {
        for (int i = 0; i < b.Length; i++)
        {
            try
            {
                if (b[i].ToString() != c[i].ToString())
                {
                    Response.Write("Found duplicate " + b[i].ToString());
                    return;
                }
            }
            catch (Exception ex)
            {
                Response.Write("Found duplicate " + b[i].ToString());
                return;
            }
        }              
    }
    else
    {
        Response.Write("No duplicate ");
    }
}

泛型扩展方法:

public static IEnumerable<TSource> Distinct<TSource>(this IEnumerable<TSource> source, IEqualityComparer<TSource> comparer)
{
    if (source == null)
        throw new ArgumentNullException(nameof(source));

    HashSet<TSource> set = new HashSet<TSource>(comparer);
    foreach (TSource item in source)
    {
        if (set.Add(item))
        {
            yield return item;
        }
    }
}