我将主要答案设置为IOC容器，以确定在哪里进行分割。(在阅读这篇文章的同时寻找答案，谁真的只想在3个项目上进行拆分?)

这种方法允许人们根据需要对任何类型的项目进行拆分。

public static List<List<T>> SplitOn<T>(List<T> main, Func<T, bool> splitOn)
{
    int groupIndex = 0;

    return main.Select( item => new 
                             { 
                               Group = (splitOn.Invoke(item) ? ++groupIndex : groupIndex), 
                               Value = item 
                             })
                .GroupBy( it2 => it2.Group)
                .Select(x => x.Select(v => v.Value).ToList())
                .ToList();
}

所以OP的代码是

var it = new List<string>()
                       { "a", "g", "e", "w", "p", "s", "q", "f", "x", "y", "i", "m", "c" };

int index = 0; 
var result = SplitOn(it, (itm) => (index++ % 3) == 0 );

我们发现David B的解决方案效果最好。但我们把它改成了一个更普遍的解决方案:

list.GroupBy(item => item.SomeProperty) 
   .Select(group => new List<T>(group)) 
   .ToArray();

这是一个老问题，但这是我最后得出的结论;它只枚举可枚举对象一次，但是为每个分区创建列表。当调用ToArray()时，它不会像某些实现那样遭受意外行为:

    public static IEnumerable<IEnumerable<T>> Partition<T>(IEnumerable<T> source, int chunkSize)
    {
        if (source == null)
        {
            throw new ArgumentNullException("source");
        }

        if (chunkSize < 1)
        {
            throw new ArgumentException("Invalid chunkSize: " + chunkSize);
        }

        using (IEnumerator<T> sourceEnumerator = source.GetEnumerator())
        {
            IList<T> currentChunk = new List<T>();
            while (sourceEnumerator.MoveNext())
            {
                currentChunk.Add(sourceEnumerator.Current);
                if (currentChunk.Count == chunkSize)
                {
                    yield return currentChunk;
                    currentChunk = new List<T>();
                }
            }

            if (currentChunk.Any())
            {
                yield return currentChunk;
            }
        }
    }

山姆·萨弗伦的做法是如此的做作。

public static IEnumerable<IEnumerable<T>> Batch<T>(this IEnumerable<T> source, int size)
{
    if (source == null) throw new ArgumentNullException(nameof(source));
    if (size <= 0) throw new ArgumentOutOfRangeException(nameof(size), "Size must be greater than zero.");

    return BatchImpl(source, size).TakeWhile(x => x.Any());
}

static IEnumerable<IEnumerable<T>> BatchImpl<T>(this IEnumerable<T> source, int size)
{
    var values = new List<T>();
    var group = 1;
    var disposed = false;
    var e = source.GetEnumerator();

    try
    {
        while (!disposed)
        {
            yield return GetBatch(e, values, group, size, () => { e.Dispose(); disposed = true; });
            group++;
        }
    }
    finally
    {
        if (!disposed)
            e.Dispose();
    }
}

static IEnumerable<T> GetBatch<T>(IEnumerator<T> e, List<T> values, int group, int size, Action dispose)
{
    var min = (group - 1) * size + 1;
    var max = group * size;
    var hasValue = false;

    while (values.Count < min && e.MoveNext())
    {
        values.Add(e.Current);
    }

    for (var i = min; i <= max; i++)
    {
        if (i <= values.Count)
        {
            hasValue = true;
        }
        else if (hasValue = e.MoveNext())
        {
            values.Add(e.Current);
        }
        else
        {
            dispose();
        }

        if (hasValue)
            yield return values[i - 1];
        else
            yield break;
    }
}

}

下面这个解是我能想到的最紧凑的解是O(n)

public static IEnumerable<T[]> Chunk<T>(IEnumerable<T> source, int chunksize)
{
    var list = source as IList<T> ?? source.ToList();
    for (int start = 0; start < list.Count; start += chunksize)
    {
        T[] chunk = new T[Math.Min(chunksize, list.Count - start)];
        for (int i = 0; i < chunk.Length; i++)
            chunk[i] = list[start + i];

        yield return chunk;
    }
}

我发现这个小片段做得很好。

public static IEnumerable<List<T>> Chunked<T>(this List<T> source, int chunkSize)
{
    var offset = 0;

    while (offset < source.Count)
    {
        yield return source.GetRange(offset, Math.Min(source.Count - offset, chunkSize));
        offset += chunkSize;
    }
}