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
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;
}
}
其他回答
当你有两个相等的项目时,投票给最多的答案不起作用。TreeMap保留相等的值。
示例:未排序地图
key/value: D/67.3 key/value: A/99.5 key/value: B/67.4 key/value: C/67.5 key/value: E/99.5
后果
key/value: A/99.5 key/value: C/67.5 key/value: B/67.4 key/value: D/67.3
所以省略了E!!
对我来说,它可以很好地调整比较器,如果它等于,则不返回0,而是返回-1。
在示例中:
类ValueComparator实现Comparator{地图库;公共ValueComparator(地图库){this.base=基数;}public int compare(对象a,对象b){如果((双)base.get(a)<(双)base.get(b)){返回1;}否则如果((双)base.get(a)==(双)base.get(b)){返回-1;}其他{返回-1;}}}
现在它返回:
未排序地图:
key/value: D/67.3 key/value: A/99.5 key/value: B/67.4 key/value: C/67.5 key/value: E/99.5
结果:
key/value: A/99.5 key/value: E/99.5 key/value: C/67.5 key/value: B/67.4 key/value: D/67.3
作为对《外国人》的回应(2011年11月22日):我将此解决方案用于整数Id和名称的映射,但想法是相同的,因此上面的代码可能不正确(我将在测试中编写并给您正确的代码),这是基于上面解决方案的map排序代码:
package nl.iamit.util;
import java.util.Comparator;
import java.util.Map;
public class Comparators {
public static class MapIntegerStringComparator implements Comparator {
Map<Integer, String> base;
public MapIntegerStringComparator(Map<Integer, String> base) {
this.base = base;
}
public int compare(Object a, Object b) {
int compare = ((String) base.get(a))
.compareTo((String) base.get(b));
if (compare == 0) {
return -1;
}
return compare;
}
}
}
这是测试类(我刚刚测试了它,这适用于Integer,StringMap:
package test.nl.iamit.util;
import java.util.HashMap;
import java.util.TreeMap;
import nl.iamit.util.Comparators;
import org.junit.Test;
import static org.junit.Assert.assertArrayEquals;
public class TestComparators {
@Test
public void testMapIntegerStringComparator(){
HashMap<Integer, String> unSoretedMap = new HashMap<Integer, String>();
Comparators.MapIntegerStringComparator bvc = new Comparators.MapIntegerStringComparator(
unSoretedMap);
TreeMap<Integer, String> sorted_map = new TreeMap<Integer, String>(bvc);
//the testdata:
unSoretedMap.put(new Integer(1), "E");
unSoretedMap.put(new Integer(2), "A");
unSoretedMap.put(new Integer(3), "E");
unSoretedMap.put(new Integer(4), "B");
unSoretedMap.put(new Integer(5), "F");
sorted_map.putAll(unSoretedMap);
Object[] targetKeys={new Integer(2),new Integer(4),new Integer(3),new Integer(1),new Integer(5) };
Object[] currecntKeys=sorted_map.keySet().toArray();
assertArrayEquals(targetKeys,currecntKeys);
}
}
以下是地图比较器的代码:
public static class MapStringDoubleComparator implements Comparator {
Map<String, Double> base;
public MapStringDoubleComparator(Map<String, Double> base) {
this.base = base;
}
//note if you want decending in stead of ascending, turn around 1 and -1
public int compare(Object a, Object b) {
if ((Double) base.get(a) == (Double) base.get(b)) {
return 0;
} else if((Double) base.get(a) < (Double) base.get(b)) {
return -1;
}else{
return 1;
}
}
}
这是一个测试用例:
@Test
public void testMapStringDoubleComparator(){
HashMap<String, Double> unSoretedMap = new HashMap<String, Double>();
Comparators.MapStringDoubleComparator bvc = new Comparators.MapStringDoubleComparator(
unSoretedMap);
TreeMap<String, Double> sorted_map = new TreeMap<String, Double>(bvc);
//the testdata:
unSoretedMap.put("D",new Double(67.3));
unSoretedMap.put("A",new Double(99.5));
unSoretedMap.put("B",new Double(67.4));
unSoretedMap.put("C",new Double(67.5));
unSoretedMap.put("E",new Double(99.5));
sorted_map.putAll(unSoretedMap);
Object[] targetKeys={"D","B","C","E","A"};
Object[] currecntKeys=sorted_map.keySet().toArray();
assertArrayEquals(targetKeys,currecntKeys);
}
当然,你可以让它更通用,但我只需要一个案例(地图)
好的,这个版本使用两个新的Map对象和两次迭代,并对值进行排序。希望,虽然地图条目必须循环两次,但表现良好:
public static void main(String[] args) {
Map<String, String> unsorted = new HashMap<String, String>();
unsorted.put("Cde", "Cde_Value");
unsorted.put("Abc", "Abc_Value");
unsorted.put("Bcd", "Bcd_Value");
Comparator<String> comparer = new Comparator<String>() {
@Override
public int compare(String o1, String o2) {
return o1.compareTo(o2);
}};
System.out.println(sortByValue(unsorted, comparer));
}
public static <K, V> Map<K,V> sortByValue(Map<K, V> in, Comparator<? super V> compare) {
Map<V, K> swapped = new TreeMap<V, K>(compare);
for(Entry<K,V> entry: in.entrySet()) {
if (entry.getValue() != null) {
swapped.put(entry.getValue(), entry.getKey());
}
}
LinkedHashMap<K, V> result = new LinkedHashMap<K, V>();
for(Entry<V,K> entry: swapped.entrySet()) {
if (entry.getValue() != null) {
result.put(entry.getValue(), entry.getKey());
}
}
return result;
}
该解决方案使用带有比较器的TreeMap,并对所有空键和值进行排序。首先,使用TreeMap中的排序功能对值进行排序,然后使用排序后的Map创建一个结果,因为LinkedHashMap保留了相同的值顺序。
格里兹,GHad
我们只需像这样对地图进行排序
Map<String, String> unsortedMap = new HashMap<String, String>();
unsortedMap.put("E", "E Val");
unsortedMap.put("F", "F Val");
unsortedMap.put("H", "H Val");
unsortedMap.put("B", "B Val");
unsortedMap.put("C", "C Val");
unsortedMap.put("A", "A Val");
unsortedMap.put("G", "G Val");
unsortedMap.put("D", "D Val");
Map<String, String> sortedMap = new TreeMap<String, String>(unsortedMap);
System.out.println("\nAfter sorting..");
for (Map.Entry <String, String> mapEntry : sortedMap.entrySet()) {
System.out.println(mapEntry.getKey() + " \t" + mapEntry.getValue());
static <K extends Comparable<? super K>, V extends Comparable<? super V>>
Map sortByValueInDescendingOrder(final Map<K, V> map) {
Map re = new TreeMap(new Comparator<K>() {
@Override
public int compare(K o1, K o2) {
if (map.get(o1) == null || map.get(o2) == null) {
return -o1.compareTo(o2);
}
int result = -map.get(o1).compareTo(map.get(o2));
if (result != 0) {
return result;
}
return -o1.compareTo(o2);
}
});
re.putAll(map);
return re;
}
@Test(timeout = 3000l, expected = Test.None.class)
public void testSortByValueInDescendingOrder() {
char[] arr = "googler".toCharArray();
Map<Character, Integer> charToTimes = new HashMap();
for (int i = 0; i < arr.length; i++) {
Integer times = charToTimes.get(arr[i]);
charToTimes.put(arr[i], times == null ? 1 : times + 1);
}
Map sortedByTimes = sortByValueInDescendingOrder(charToTimes);
Assert.assertEquals(charToTimes.toString(), "{g=2, e=1, r=1, o=2, l=1}");
Assert.assertEquals(sortedByTimes.toString(), "{o=2, g=2, r=1, l=1, e=1}");
Assert.assertEquals(sortedByTimes.containsKey('a'), false);
Assert.assertEquals(sortedByTimes.get('a'), null);
Assert.assertEquals(sortedByTimes.get('g'), 2);
Assert.assertEquals(sortedByTimes.equals(charToTimes), true);
}
这还有一个额外的好处,即可以使用Java8进行升序或降序排序
import static java.util.Comparator.comparingInt;
import static java.util.stream.Collectors.toMap;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.Map.Entry;
import java.util.stream.Collectors;
import java.util.stream.Stream;
class Utils {
public static Map<String, Integer> sortMapBasedOnValues(Map<String, Integer> map, boolean descending) {
int multiplyBy = (descending) ? -1: 1;
Map<String, Integer> sorted = map.entrySet().stream()
.sorted(comparingInt(e -> multiplyBy * e.getValue() ))
.collect(toMap(
Map.Entry::getKey,
Map.Entry::getValue,
(a, b) -> { throw new AssertionError();},
LinkedHashMap::new
));
return sorted;
}
}