是否有任何方法可以将List<SomeObject>分离为SomeObject的几个单独的列表,使用项目索引作为每个分割的分隔符?

让我举个例子:

我有一个List<SomeObject>,我需要一个List<List<SomeObject>>或List<SomeObject>[],这样每个结果列表将包含一组原始列表的3个项目(依次)。

eg.:

原始列表:[a, g, e, w, p, s, q, f, x, y, i, m, c] 结果列表:[a、g e], [w、p, s], [q, f, x]、[y,我,m], [c]

我还需要结果列表的大小是这个函数的参数。


当前回答

下面是我几个月前写的一个列表拆分例程:

public static List<List<T>> Chunk<T>(
    List<T> theList,
    int chunkSize
)
{
    List<List<T>> result = theList
        .Select((x, i) => new {
            data = x,
            indexgroup = i / chunkSize
        })
        .GroupBy(x => x.indexgroup, x => x.data)
        .Select(g => new List<T>(g))
        .ToList();

    return result;
}

其他回答

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。

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;
        }

只是说说我的意见。如果你想要“桶”列表(从左到右可视化),你可以做以下事情:

 public static List<List<T>> Buckets<T>(this List<T> source, int numberOfBuckets)
    {
        List<List<T>> result = new List<List<T>>();
        for (int i = 0; i < numberOfBuckets; i++)
        {
            result.Add(new List<T>());
        }

        int count = 0;
        while (count < source.Count())
        {
            var mod = count % numberOfBuckets;
            result[mod].Add(source[count]);
            count++;
        }
        return result;
    }

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();

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;
        }
    }