一个简单直观的实现:

public static List<PointF> RemoveDuplicates(List<PointF> listPoints)
{
    List<PointF> result = new List<PointF>();

    for (int i = 0; i < listPoints.Count; i++)
    {
        if (!result.Contains(listPoints[i]))
            result.Add(listPoints[i]);
        }

        return result;
    }

可能更简单的方法是确保没有将重复项添加到列表中。

if(items.IndexOf(new_item) < 0) 
    items.add(new_item)

所有的答案要么复制列表，要么创建一个新列表，要么使用慢函数，要么就是慢得令人痛苦。

据我所知，这是我所知道的最快和最便宜的方法(同时，还得到了一个非常有经验的实时物理优化程序员的支持)。

// Duplicates will be noticed after a sort O(nLogn)
list.Sort();

// Store the current and last items. Current item declaration is not really needed, and probably optimized by the compiler, but in case it's not...
int lastItem = -1;
int currItem = -1;

int size = list.Count;

// Store the index pointing to the last item we want to keep in the list
int last = size - 1;

// Travel the items from last to first O(n)
for (int i = last; i >= 0; --i)
{
    currItem = list[i];

    // If this item was the same as the previous one, we don't want it
    if (currItem == lastItem)
    {
        // Overwrite last in current place. It is a swap but we don't need the last
       list[i] = list[last];

        // Reduce the last index, we don't want that one anymore
        last--;
    }

    // A new item, we store it and continue
    else
        lastItem = currItem;
}

// We now have an unsorted list with the duplicates at the end.

// Remove the last items just once
list.RemoveRange(last + 1, size - last - 1);

// Sort again O(n logn)
list.Sort();

最终成本为:

nlogn + n + nlogn = n + 2nlogn = O(nlogn)非常漂亮。

关于RemoveRange注意事项: 由于我们不能设置列表的计数并避免使用Remove函数，我不知道这个操作的确切速度，但我猜这是最快的方法。

我喜欢使用这个命令:

List<Store> myStoreList = Service.GetStoreListbyProvince(provinceId)
                                                 .GroupBy(s => s.City)
                                                 .Select(grp => grp.FirstOrDefault())
                                                 .OrderBy(s => s.City)
                                                 .ToList();

我的列表中有这些字段:Id、StoreName、City、PostalCode 我想在一个有重复值的下拉列表中显示城市。 解决方案:按城市分组，然后选择列表中的第一个城市。

如果需要比较复杂的对象，则需要在Distinct()方法中传递一个compararer对象。

private void GetDistinctItemList(List<MyListItem> _listWithDuplicates)
{
    //It might be a good idea to create MyListItemComparer 
    //elsewhere and cache it for performance.
    List<MyListItem> _listWithoutDuplicates = _listWithDuplicates.Distinct(new MyListItemComparer()).ToList();
        
    //Choose the line below instead, if you have a situation where there is a chance to change the list while Distinct() is running.
    //ToArray() is used to solve "Collection was modified; enumeration operation may not execute" error.
    //List<MyListItem> _listWithoutDuplicates = _listWithDuplicates.ToArray().Distinct(new MyListItemComparer()).ToList();

    return _listWithoutDuplicates;
}

假设你有另外两个类，比如:

public class MyListItemComparer : IEqualityComparer<MyListItem>
{
    public bool Equals(MyListItem x, MyListItem y)
    {
        return x != null 
               && y != null 
               && x.A == y.A 
               && x.B.Equals(y.B); 
               && x.C.ToString().Equals(y.C.ToString());
    }

    public int GetHashCode(MyListItem codeh)
    {
        return codeh.GetHashCode();
    }
}

And:

public class MyListItem
{
    public int A { get; }
    public string B { get; }
    public MyEnum C { get; }

    public MyListItem(int a, string b, MyEnum c)
    {
        A = a;
        B = b;
        C = c;
    }
}

  public static void RemoveDuplicates<T>(IList<T> list )
  {
     if (list == null)
     {
        return;
     }
     int i = 1;
     while(i<list.Count)
     {
        int j = 0;
        bool remove = false;
        while (j < i && !remove)
        {
           if (list[i].Equals(list[j]))
           {
              remove = true;
           }
           j++;
        }
        if (remove)
        {
           list.RemoveAt(i);
        }
        else
        {
           i++;
        }
     }  
  }