如何将一个数组列表(size=1000)拆分为多个相同大小(=10)的数组列表?
ArrayList<Integer> results;
如何将一个数组列表(size=1000)拆分为多个相同大小(=10)的数组列表?
ArrayList<Integer> results;
当前回答
使用StreamEx库,您可以使用StreamEx。ofSubLists(List<T> source, int length)方法:
返回一个新的StreamEx,它由给定源列表的不重叠子列表组成,具有指定的长度(最后一个子列表可能更短)。
// Assuming you don't actually care that the lists are of type ArrayList
List<List<Integer>> sublists = StreamEx.ofSubLists(result, 10).toList();
// If you actually want them to be of type ArrayList, per your question
List<List<Integer>> sublists = StreamEx.ofSubLists(result, 10).toCollection(ArrayList::new);
其他回答
如果你不想导入apache Commons库,试试下面这段简单的代码:
final static int MAX_ELEMENT = 20;
public static void main(final String[] args) {
final List<String> list = new ArrayList<String>();
for (int i = 1; i <= 161; i++) {
list.add(String.valueOf(i));
System.out.print("," + String.valueOf(i));
}
System.out.println("");
System.out.println("### >>> ");
final List<List<String>> result = splitList(list, MAX_ELEMENT);
for (final List<String> entry : result) {
System.out.println("------------------------");
for (final String elm : entry) {
System.out.println(elm);
}
System.out.println("------------------------");
}
}
private static List<List<String>> splitList(final List<String> list, final int maxElement) {
final List<List<String>> result = new ArrayList<List<String>>();
final int div = list.size() / maxElement;
System.out.println(div);
for (int i = 0; i <= div; i++) {
final int startIndex = i * maxElement;
if (startIndex >= list.size()) {
return result;
}
final int endIndex = (i + 1) * maxElement;
if (endIndex < list.size()) {
result.add(list.subList(startIndex, endIndex));
} else {
result.add(list.subList(startIndex, list.size()));
}
}
return result;
}
我猜你遇到的问题是命名100个数组列表并填充它们。您可以创建一个数组列表数组,并使用循环填充每个数组列表。
最简单(也是最愚蠢的)的方法是这样的:
ArrayList results = new ArrayList(1000);
// populate results here
for (int i = 0; i < 1000; i++) {
results.add(i);
}
ArrayList[] resultGroups = new ArrayList[100];
// initialize all your small ArrayList groups
for (int i = 0; i < 100; i++) {
resultGroups[i] = new ArrayList();
}
// put your results into those arrays
for (int i = 0; i < 1000; i++) {
resultGroups[i/10].add(results.get(i));
}
Java8流,一个表达式,没有其他库:
List<String> input = ...
int partitionSize = ...
Collection<List<String>> partitionedList = IntStream.range(0, input.size())
.boxed()
.collect(Collectors.groupingBy(partition -> (partition / partitionSize), Collectors.mapping(elementIndex -> input.get(elementIndex), Collectors.toList())))
.values();
测试:
List<String> input = Arrays.asList("a", "b", "c", "d", "e", "f", "g", "h" ,"i");
partitionSize = 1 - > [[a], [b], [c], [d], [e], [f], [g], [h],[我]] partitionSize = 2 - > [[a, b], c, d, e, f, g, h,[我]] partitionSize = 3 - > [a, b, c, d, e, f, g, h,我]] partitionSize = 7 - > [[a, b, c, d, e, f, g], [h,我]] partitionSize = 100 -> [[a, b, c, d, e, f, g, h, i]]
这对我很有用
/**
* Returns List of the List argument passed to this function with size = chunkSize
*
* @param largeList input list to be portioned
* @param chunkSize maximum size of each partition
* @param <T> Generic type of the List
* @return A list of Lists which is portioned from the original list
*/
public static <T> List<List<T>> chunkList(List<T> list, int chunkSize) {
if (chunkSize <= 0) {
throw new IllegalArgumentException("Invalid chunk size: " + chunkSize);
}
List<List<T>> chunkList = new ArrayList<>(list.size() / chunkSize);
for (int i = 0; i < list.size(); i += chunkSize) {
chunkList.add(list.subList(i, i + chunkSize >= list.size() ? list.size()-1 : i + chunkSize));
}
return chunkList;
}
例如:
List<Integer> stringList = new ArrayList<>();
stringList.add(0);
stringList.add(1);
stringList.add(2);
stringList.add(3);
stringList.add(4);
stringList.add(5);
stringList.add(6);
stringList.add(7);
stringList.add(8);
stringList.add(9);
List<List<Integer>> chunkList = getChunkList1(stringList, 2);
Apache Commons Collections 4在ListUtils类中有一个分区方法。下面是它的工作原理:
import org.apache.commons.collections4.ListUtils;
...
int targetSize = 100;
List<Integer> largeList = ...
List<List<Integer>> output = ListUtils.partition(largeList, targetSize);