旧代码，但这是我一直在使用的:

    public static IEnumerable<List<T>> InSetsOf<T>(this IEnumerable<T> source, int max)
    {
        var toReturn = new List<T>(max);
        foreach (var item in source)
        {
            toReturn.Add(item);
            if (toReturn.Count == max)
            {
                yield return toReturn;
                toReturn = new List<T>(max);
            }
        }
        if (toReturn.Any())
        {
            yield return toReturn;
        }
    }

对于任何对打包/维护解决方案感兴趣的人来说，MoreLINQ库提供了符合您所请求行为的批处理扩展方法:

IEnumerable<char> source = "Example string";
IEnumerable<IEnumerable<char>> chunksOfThreeChars = source.Batch(3);

批处理实现类似于Cameron MacFarland的答案，在返回之前添加了用于转换块/批处理的重载，并且性能相当好。

看看这个!我有一个序列计数器和日期的元素列表。每次序列重新启动时，我都想创建一个新列表。

例:消息列表。

 List<dynamic> messages = new List<dynamic>
        {
            new { FcntUp = 101, CommTimestamp = "2019-01-01 00:00:01" },
            new { FcntUp = 102, CommTimestamp = "2019-01-01 00:00:02" },
            new { FcntUp = 103, CommTimestamp = "2019-01-01 00:00:03" },

            //restart of sequence
            new { FcntUp = 1, CommTimestamp = "2019-01-01 00:00:04" },
            new { FcntUp = 2, CommTimestamp = "2019-01-01 00:00:05" },
            new { FcntUp = 3, CommTimestamp = "2019-01-01 00:00:06" },

            //restart of sequence
            new { FcntUp = 1, CommTimestamp = "2019-01-01 00:00:07" },
            new { FcntUp = 2, CommTimestamp = "2019-01-01 00:00:08" },
            new { FcntUp = 3, CommTimestamp = "2019-01-01 00:00:09" }
        };

我想在计数器重新启动时将列表拆分为单独的列表。代码如下:

var arraylist = new List<List<dynamic>>();

        List<dynamic> messages = new List<dynamic>
        {
            new { FcntUp = 101, CommTimestamp = "2019-01-01 00:00:01" },
            new { FcntUp = 102, CommTimestamp = "2019-01-01 00:00:02" },
            new { FcntUp = 103, CommTimestamp = "2019-01-01 00:00:03" },

            //restart of sequence
            new { FcntUp = 1, CommTimestamp = "2019-01-01 00:00:04" },
            new { FcntUp = 2, CommTimestamp = "2019-01-01 00:00:05" },
            new { FcntUp = 3, CommTimestamp = "2019-01-01 00:00:06" },

            //restart of sequence
            new { FcntUp = 1, CommTimestamp = "2019-01-01 00:00:07" },
            new { FcntUp = 2, CommTimestamp = "2019-01-01 00:00:08" },
            new { FcntUp = 3, CommTimestamp = "2019-01-01 00:00:09" }
        };

        //group by FcntUp and CommTimestamp
        var query = messages.GroupBy(x => new { x.FcntUp, x.CommTimestamp });

        //declare the current item
        dynamic currentItem = null;

        //declare the list of ranges
        List<dynamic> range = null;

        //loop through the sorted list
        foreach (var item in query)
        {
            //check if start of new range
            if (currentItem == null || item.Key.FcntUp < currentItem.Key.FcntUp)
            {
                //create a new list if the FcntUp starts on a new range
                range = new List<dynamic>();

                //add the list to the parent list
                arraylist.Add(range);
            }

            //add the item to the sublist
            range.Add(item);

            //set the current item
            currentItem = item;
        }

更新。net 6.0

. net 6.0为系统添加了一个新的原生Chunk方法。Linq命名空间:

public static System.Collections.Generic.IEnumerable<TSource[]> Chunk<TSource> (
   this System.Collections.Generic.IEnumerable<TSource> source, int size);

使用这种新方法，除了最后一个块外，每个块都是大小相同的。最后一个块将包含剩余的元素，大小可能较小。

这里有一个例子:

var list = Enumerable.Range(1, 100);
var chunkSize = 10;

foreach(var chunk in list.Chunk(chunkSize)) //Returns a chunk with the correct size. 
{
    Parallel.ForEach(chunk, (item) =>
    {
        //Do something Parallel here. 
        Console.WriteLine(item);
    });
}

你可能会想，为什么不使用Skip and Take呢?这是真的，我认为这更简洁，让事情更有可读性。

好吧，以下是我的看法:

完全懒惰:工作在无限枚举上 没有中间复制/缓冲 O(n)执行时间 当内部序列仅被部分消耗时也适用

public static IEnumerable<IEnumerable<T>> Chunks<T>(this IEnumerable<T> enumerable, int chunkSize) { if (chunkSize < 1) throw new ArgumentException("chunkSize must be positive"); using (var e = enumerable.GetEnumerator()) while (e.MoveNext()) { var remaining = chunkSize; // elements remaining in the current chunk var innerMoveNext = new Func<bool>(() => --remaining > 0 && e.MoveNext()); yield return e.GetChunk(innerMoveNext); while (innerMoveNext()) {/* discard elements skipped by inner iterator */} } } private static IEnumerable<T> GetChunk<T>(this IEnumerator<T> e, Func<bool> innerMoveNext) { do yield return e.Current; while (innerMoveNext()); } Example Usage var src = new [] {1, 2, 3, 4, 5, 6}; var c3 = src.Chunks(3); // {{1, 2, 3}, {4, 5, 6}}; var c4 = src.Chunks(4); // {{1, 2, 3, 4}, {5, 6}}; var sum = c3.Select(c => c.Sum()); // {6, 15} var count = c3.Count(); // 2 var take2 = c3.Select(c => c.Take(2)); // {{1, 2}, {4, 5}} Explanations The code works by nesting two yield based iterators. The outer iterator must keep track of how many elements have been effectively consumed by the inner (chunk) iterator. This is done by closing over remaining with innerMoveNext(). Unconsumed elements of a chunk are discarded before the next chunk is yielded by the outer iterator. This is necessary because otherwise you get inconsistent results, when the inner enumerables are not (completely) consumed (e.g. c3.Count() would return 6). Note: The answer has been updated to address the shortcomings pointed out by @aolszowka.

如果列表的类型为system.collections.generic，则可以使用“CopyTo”方法将数组中的元素复制到其他子数组中。您可以指定开始元素和要复制的元素数量。

你也可以对你的原始列表做3个克隆，并在每个列表上使用“RemoveRange”将列表缩小到你想要的大小。

或者只是创建一个helper方法来为您做这件事。