我对Java比较陌生,经常发现需要对值进行Map<Key,Value>排序。
由于这些值不是唯一的,我发现自己将keySet转换为一个数组,并使用自定义比较器通过数组排序对该数组进行排序,该比较器根据与该键关联的值进行排序。
有没有更简单的方法?
我对Java比较陌生,经常发现需要对值进行Map<Key,Value>排序。
由于这些值不是唯一的,我发现自己将keySet转换为一个数组,并使用自定义比较器通过数组排序对该数组进行排序,该比较器根据与该键关联的值进行排序。
有没有更简单的方法?
当前回答
在TreeMap中,键按自然顺序排序。例如,如果您对数字进行排序,(注意4的排序)
{0=0, 10=10, 20=20, 30=30, 4=4, 50=50, 60=60, 70=70}
要解决这个问题,在Java8中,首先检查字符串长度,然后进行比较。
Map<String, String> sortedMap = new TreeMap<>Comparator.comparingInt(String::length)
.thenComparing(Function.identity()));
{0=0, 4=4, 10=10, 20=20, 30=30, 50=50, 60=60, 70=70}
其他回答
用Java中最简单的方式对任何Hashmap进行排序。我们不需要将其存储在树图、列表等中。
在这里,我将使用Java Streams:
让我们按其值(升序)对该地图进行排序
Map<String, Integer> mp= new HashMap<>();
mp.put("zebra", 1);
mp.put("blossom", 2);
mp.put("gemini", 3);
mp.put("opera", 7);
mp.put("adelaide", 10);
Map<String, Integer> resultMap= mp.entrySet().stream().sorted(Map.Entry.<String, Integer>comparingByValue()).collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue,(e1, e2) -> e1, LinkedHashMap::new));
现在,您可以通过多种方式打印排序后的resultMap,例如使用高级for循环或迭代器。
上面的映射也可以按值的降序排序
Map<String, Integer> resultMap= mp.entrySet().stream().sorted(Map.Entry.<String, Integer>comparingByValue().reversed()).collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue,(e1, e2) -> e1, LinkedHashMap::new));
现在让我们来看另一个场景,我们将“User”存储在地图中,并根据“User”的“name”按升序(词典)对其进行排序:
User u1= new User("hi", 135);
User u2= new User("bismuth", 900);
User u3= new User("alloy", 675);
User u4= new User("jupiter", 342);
User u5= new User("lily", 941);
Map<String, User> map2= new HashMap<>();
map2.put("zebra", u3);
map2.put("blossom", u5);
map2.put("gemini", u1);
map2.put("opera", u2);
map2.put("adelaide", u4);
Map<String, User> resultMap=
map2.entrySet().stream().sorted(Map.Entry.<String, User>comparingByValue( (User o1, User o2)-> o1.getName().compareTo(o2.getName()))).collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue,(e1, e2) -> e2, LinkedHashMap::new));
class User
{
String name;
int id;
public User(String name, int id) {
super();
this.name = name;
this.id = id;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public int getId() {
return id;
}
public void setId(int id) {
this.id = id;
}
@Override
public String toString() {
return "User [name=" + name + ", id=" + id + "]";
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
result = prime * result + id;
result = prime * result + ((name == null) ? 0 : name.hashCode());
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (getClass() != obj.getClass())
return false;
User other = (User) obj;
if (id != other.id)
return false;
if (name == null) {
if (other.name != null)
return false;
} else if (!name.equals(other.name))
return false;
return true;
}
}
对键进行排序需要Comparator为每个比较查找每个值。一个更具可扩展性的解决方案将直接使用entrySet,因为这样每次比较都会立即获得该值(尽管我没有用数字来支持)。
这是这样一件事的通用版本:
public static <K, V extends Comparable<? super V>> List<K> getKeysSortedByValue(Map<K, V> map) {
final int size = map.size();
final List<Map.Entry<K, V>> list = new ArrayList<Map.Entry<K, V>>(size);
list.addAll(map.entrySet());
final ValueComparator<V> cmp = new ValueComparator<V>();
Collections.sort(list, cmp);
final List<K> keys = new ArrayList<K>(size);
for (int i = 0; i < size; i++) {
keys.set(i, list.get(i).getKey());
}
return keys;
}
private static final class ValueComparator<V extends Comparable<? super V>>
implements Comparator<Map.Entry<?, V>> {
public int compare(Map.Entry<?, V> o1, Map.Entry<?, V> o2) {
return o1.getValue().compareTo(o2.getValue());
}
}
有一些方法可以减少上述解决方案的内存旋转。例如,创建的第一个ArrayList可以重新用作返回值;这将需要抑制一些泛型警告,但对于可重用的库代码来说,这可能是值得的。此外,Comparator不必在每次调用时重新分配。
这里有一个更有效但不太吸引人的版本:
public static <K, V extends Comparable<? super V>> List<K> getKeysSortedByValue2(Map<K, V> map) {
final int size = map.size();
final List reusedList = new ArrayList(size);
final List<Map.Entry<K, V>> meView = reusedList;
meView.addAll(map.entrySet());
Collections.sort(meView, SINGLE);
final List<K> keyView = reusedList;
for (int i = 0; i < size; i++) {
keyView.set(i, meView.get(i).getKey());
}
return keyView;
}
private static final Comparator SINGLE = new ValueComparator();
最后,如果您需要连续访问已排序的信息(而不是偶尔排序一次),可以使用额外的多重映射。如果你需要更多细节,请告诉我。。。
public class SortedMapExample {
public static void main(String[] args) {
Map<String, String> map = new HashMap<String, String>();
map.put("Cde", "C");
map.put("Abc", "A");
map.put("Cbc", "Z");
map.put("Dbc", "D");
map.put("Bcd", "B");
map.put("sfd", "Bqw");
map.put("DDD", "Bas");
map.put("BGG", "Basd");
System.out.println(sort(map, new Comparator<String>() {
@Override
public int compare(String o1, String o2) {
return o1.compareTo(o2);
}}));
}
@SuppressWarnings("unchecked")
public static <K, V> Map<K,V> sort(Map<K, V> in, Comparator<? super V> compare) {
Map<K, V> result = new LinkedHashMap<K, V>();
V[] array = (V[])in.values().toArray();
for(int i=0;i<array.length;i++)
{
}
Arrays.sort(array, compare);
for (V item : array) {
K key= (K) getKey(in, item);
result.put(key, item);
}
return result;
}
public static <K, V> Object getKey(Map<K, V> in,V value)
{
Set<K> key= in.keySet();
Iterator<K> keyIterator=key.iterator();
while (keyIterator.hasNext()) {
K valueObject = (K) keyIterator.next();
if(in.get(valueObject).equals(value))
{
return valueObject;
}
}
return null;
}
}
//请在这里尝试。我正在修改值排序的代码。
重要说明:
此代码可以以多种方式中断。如果您打算使用提供的代码,请务必阅读注释以了解其含义。例如,值不能再通过其键检索。(get始终返回null。)
这似乎比前面所有的都容易得多。按如下方式使用TreeMap:
public class Testing {
public static void main(String[] args) {
HashMap<String, Double> map = new HashMap<String, Double>();
ValueComparator bvc = new ValueComparator(map);
TreeMap<String, Double> sorted_map = new TreeMap<String, Double>(bvc);
map.put("A", 99.5);
map.put("B", 67.4);
map.put("C", 67.4);
map.put("D", 67.3);
System.out.println("unsorted map: " + map);
sorted_map.putAll(map);
System.out.println("results: " + sorted_map);
}
}
class ValueComparator implements Comparator<String> {
Map<String, Double> base;
public ValueComparator(Map<String, Double> base) {
this.base = base;
}
// Note: this comparator imposes orderings that are inconsistent with
// equals.
public int compare(String a, String b) {
if (base.get(a) >= base.get(b)) {
return -1;
} else {
return 1;
} // returning 0 would merge keys
}
}
输出:
unsorted map: {D=67.3, A=99.5, B=67.4, C=67.4}
results: {D=67.3, B=67.4, C=67.4, A=99.5}
当然,Stephen的解决方案真的很棒,但对于那些不会使用Guava的人来说:
这是我的解决方案,用于按值对地图进行排序。此解决方案处理两倍相同值等情况。。。
// If you want to sort a map by value, and if there can be twice the same value:
// here is your original map
Map<String,Integer> mapToSortByValue = new HashMap<String, Integer>();
mapToSortByValue.put("A", 3);
mapToSortByValue.put("B", 1);
mapToSortByValue.put("C", 3);
mapToSortByValue.put("D", 5);
mapToSortByValue.put("E", -1);
mapToSortByValue.put("F", 1000);
mapToSortByValue.put("G", 79);
mapToSortByValue.put("H", 15);
// Sort all the map entries by value
Set<Map.Entry<String,Integer>> set = new TreeSet<Map.Entry<String,Integer>>(
new Comparator<Map.Entry<String,Integer>>(){
@Override
public int compare(Map.Entry<String,Integer> obj1, Map.Entry<String,Integer> obj2) {
Integer val1 = obj1.getValue();
Integer val2 = obj2.getValue();
// DUPLICATE VALUE CASE
// If the values are equals, we can't return 0 because the 2 entries would be considered
// as equals and one of them would be deleted (because we use a set, no duplicate, remember!)
int compareValues = val1.compareTo(val2);
if ( compareValues == 0 ) {
String key1 = obj1.getKey();
String key2 = obj2.getKey();
int compareKeys = key1.compareTo(key2);
if ( compareKeys == 0 ) {
// what you return here will tell us if you keep REAL KEY-VALUE duplicates in your set
// if you want to, do whatever you want but do not return 0 (but don't break the comparator contract!)
return 0;
}
return compareKeys;
}
return compareValues;
}
}
);
set.addAll(mapToSortByValue.entrySet());
// OK NOW OUR SET IS SORTED COOL!!!!
// And there's nothing more to do: the entries are sorted by value!
for ( Map.Entry<String,Integer> entry : set ) {
System.out.println("Set entries: " + entry.getKey() + " -> " + entry.getValue());
}
// But if you add them to an hashmap
Map<String,Integer> myMap = new HashMap<String,Integer>();
// When iterating over the set the order is still good in the println...
for ( Map.Entry<String,Integer> entry : set ) {
System.out.println("Added to result map entries: " + entry.getKey() + " " + entry.getValue());
myMap.put(entry.getKey(), entry.getValue());
}
// But once they are in the hashmap, the order is not kept!
for ( Integer value : myMap.values() ) {
System.out.println("Result map values: " + value);
}
// Also this way doesn't work:
// Logic because the entryset is a hashset for hashmaps and not a treeset
// (and even if it was a treeset, it would be on the keys only)
for ( Map.Entry<String,Integer> entry : myMap.entrySet() ) {
System.out.println("Result map entries: " + entry.getKey() + " -> " + entry.getValue());
}
// CONCLUSION:
// If you want to iterate on a map ordered by value, you need to remember:
// 1) Maps are only sorted by keys, so you can't sort them directly by value
// 2) So you simply CAN'T return a map to a sortMapByValue function
// 3) You can't reverse the keys and the values because you have duplicate values
// This also means you can't neither use Guava/Commons bidirectionnal treemaps or stuff like that
// SOLUTIONS
// So you can:
// 1) only sort the values which is easy, but you loose the key/value link (since you have duplicate values)
// 2) sort the map entries, but don't forget to handle the duplicate value case (like i did)
// 3) if you really need to return a map, use a LinkedHashMap which keep the insertion order
执行官:http://www.ideone.com/dq3Lu
输出:
Set entries: E -> -1
Set entries: B -> 1
Set entries: A -> 3
Set entries: C -> 3
Set entries: D -> 5
Set entries: H -> 15
Set entries: G -> 79
Set entries: F -> 1000
Added to result map entries: E -1
Added to result map entries: B 1
Added to result map entries: A 3
Added to result map entries: C 3
Added to result map entries: D 5
Added to result map entries: H 15
Added to result map entries: G 79
Added to result map entries: F 1000
Result map values: 5
Result map values: -1
Result map values: 1000
Result map values: 79
Result map values: 3
Result map values: 1
Result map values: 3
Result map values: 15
Result map entries: D -> 5
Result map entries: E -> -1
Result map entries: F -> 1000
Result map entries: G -> 79
Result map entries: A -> 3
Result map entries: B -> 1
Result map entries: C -> 3
Result map entries: H -> 15
希望它能帮助一些人