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;


    }
 }

一些简单的更改，以便具有具有重复值的对的排序映射。在比较方法（类ValueComparator）中，当值相等时，不返回0，而是返回比较2个键的结果。关键点在地图中是不同的，因此您可以成功地保留重复的值（顺便按关键点排序）。因此，上面的示例可以这样修改：

    public int compare(Object a, Object b) {

        if((Double)base.get(a) < (Double)base.get(b)) {
          return 1;
        } else if((Double)base.get(a) == (Double)base.get(b)) {
          return ((String)a).compareTo((String)b);
        } else {
          return -1;
        }
      }
    }

Geeks For Geeks对HashMap按值排序

Input : Key = Math, Value = 98
    Key = Data Structure, Value = 85
    Key = Database, Value = 91
    Key = Java, Value = 95
    Key = Operating System, Value = 79
    Key = Networking, Value = 80

Output : Key = Operating System, Value = 79
         Key = Networking, Value = 80
         Key = Data Structure, Value = 85
         Key = Database, Value = 91
         Key = Java, Value = 95
         Key = Math, Value = 98
Solution: The idea is to store the entry set in a list and sort the list on the basis of values. Then fetch values and keys from the list and put them in a new hashmap. Thus, a new hashmap is sorted according to values.
Below is the implementation of the above idea: 




// Java program to sort hashmap by values
import java.util.*;
import java.lang.*;
 
public class GFG {
 
    // function to sort hashmap by values
    public static HashMap<String, Integer> sortByValue(HashMap<String, Integer> hm)
    {
        // Create a list from elements of HashMap
        List<Map.Entry<String, Integer> > list =
               new LinkedList<Map.Entry<String, Integer> >(hm.entrySet());
 
        // Sort the list
        Collections.sort(list, new Comparator<Map.Entry<String, Integer> >() {
            public int compare(Map.Entry<String, Integer> o1,
                               Map.Entry<String, Integer> o2)
            {
                return (o1.getValue()).compareTo(o2.getValue());
            }
        });
         
        // put data from sorted list to hashmap
        HashMap<String, Integer> temp = new LinkedHashMap<String, Integer>();
        for (Map.Entry<String, Integer> aa : list) {
            temp.put(aa.getKey(), aa.getValue());
        }
        return temp;
    }
 
    // Driver Code
    public static void main(String[] args)
    {
 
        HashMap<String, Integer> hm = new HashMap<String, Integer>();
 
        // enter data into hashmap
        hm.put("Math", 98);
        hm.put("Data Structure", 85);
        hm.put("Database", 91);
        hm.put("Java", 95);
        hm.put("Operating System", 79);
        hm.put("Networking", 80);
        Map<String, Integer> hm1 = sortByValue(hm);
 
        // print the sorted hashmap
        for (Map.Entry<String, Integer> en : hm1.entrySet()) {
            System.out.println("Key = " + en.getKey() +
                          ", Value = " + en.getValue());
        }
    }
}
Output
Key = Operating System, Value = 79
Key = Networking, Value = 80
Key = Data Structure, Value = 85
Key = Database, Value = 91
Key = Java, Value = 95
Key = Math, Value = 98

最佳方法

import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.Map.Entry; 

public class OrderByValue {

  public static void main(String a[]){
    Map<String, Integer> map = new HashMap<String, Integer>();
    map.put("java", 20);
    map.put("C++", 45);
    map.put("Unix", 67);
    map.put("MAC", 26);
    map.put("Why this kolavari", 93);
    Set<Entry<String, Integer>> set = map.entrySet();
    List<Entry<String, Integer>> list = new ArrayList<Entry<String, Integer>>(set);
    Collections.sort( list, new Comparator<Map.Entry<String, Integer>>()
    {
        public int compare( Map.Entry<String, Integer> o1, Map.Entry<String, Integer> o2 )
        {
            return (o1.getValue()).compareTo( o2.getValue() );//Ascending order
            //return (o2.getValue()).compareTo( o1.getValue() );//Descending order
        }
    } );
    for(Map.Entry<String, Integer> entry:list){
        System.out.println(entry.getKey()+" ==== "+entry.getValue());
    }
  }}

输出

java ==== 20

MAC ==== 26

C++ ==== 45

Unix ==== 67

Why this kolavari ==== 93

为每个值创建一个条目列表，其中对值进行排序需要Java 8或更高版本

Map<Double,List<Entry<String,Double>>> sorted =
map.entrySet().stream().collect( Collectors.groupingBy( Entry::getValue, TreeMap::new,
    Collectors.mapping( Function.identity(), Collectors.toList() ) ) );

使用映射{[A=99.5]，[B=67.4]，[C=67.3]，[D=67.3]}得到{67.3=[D=67.3]，67.4=[B=67.4，C=67.4]，99.5=[A=99.5]}

…以及如何逐个访问每个条目：

sorted.entrySet().forEach( e -> e.getValue().forEach( l -> System.out.println( l ) ) );

D=67.3 B=67.4 C=67.4 A=99.5

public class Test {
  public static void main(String[] args) {
    TreeMap<Integer, String> hm=new TreeMap();
    hm.put(3, "arun singh");
    hm.put(5, "vinay singh");
    hm.put(1, "bandagi singh");
    hm.put(6, "vikram singh");
    hm.put(2, "panipat singh");
    hm.put(28, "jakarta singh");

    ArrayList<String> al=new ArrayList(hm.values());
    Collections.sort(al, new myComparator());

    System.out.println("//sort by values \n");
    for(String obj: al){
        for(Map.Entry<Integer, String> map2:hm.entrySet()){
            if(map2.getValue().equals(obj)){
                System.out.println(map2.getKey()+" "+map2.getValue());
            }
        } 
     }
  }
}

class myComparator implements Comparator{
    @Override
    public int compare(Object o1, Object o2) {
       String o3=(String) o1;
       String o4 =(String) o2;
       return o3.compareTo(o4);
    }   
}

输出，输出=

//sort by values 

3 arun singh
1 bandagi singh
28 jakarta singh
2 panipat singh
6 vikram singh
5 vinay singh