我重写了devinmore的方法，该方法在不使用迭代器的情况下，根据地图的值对其进行排序：

public static Map<K, V> sortMapByValue(Map<K, V> inputMap) {

    Set<Entry<K, V>> set = inputMap.entrySet();
    List<Entry<K, V>> list = new ArrayList<Entry<K, V>>(set);

    Collections.sort(list, new Comparator<Map.Entry<K, V>>()
    {
        @Override
        public int compare(Entry<K, V> o1, Entry<K, V> o2) {
            return (o1.getValue()).compareTo( o2.getValue() );  //Ascending order
        }
    } );

    Map<K, V> sortedMap = new LinkedHashMap<>();

    for(Map.Entry<K, V> entry : list){
        sortedMap.put(entry.getKey(), entry.getValue());
    }

    return sortedMap;
}

注意：我们使用LinkedHashMap作为输出映射，因为我们的列表已经按值排序，现在我们应该按照插入键值的顺序将列表存储到输出映射中。因此，如果您使用例如TreeMap作为输出地图，您的地图将再次按地图键排序！

这是主要方法：

public static void main(String[] args) {
    Map<String, String> map = new HashMap<>();
    map.put("3", "three");
    map.put("1", "one");
    map.put("5", "five");
    System.out.println("Input Map:" + map);
    System.out.println("Sorted Map:" + sortMapByValue(map));
}

最后，这是输出：

Input Map:{1=one, 3=three, 5=five}
Sorted Map:{5=five, 1=one, 3=three}

基于@devinmore代码，一种使用泛型并支持升序和降序排序的map排序方法。

/**
 * Sort a map by it's keys in ascending order. 
 *  
 * @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
 * @author Maxim Veksler
 */
public static <K, V> LinkedHashMap<K, V> sortMapByKey(final Map<K, V> map) {
    return sortMapByKey(map, SortingOrder.ASCENDING);
}

/**
 * Sort a map by it's values in ascending order.
 *  
 * @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
 * @author Maxim Veksler
 */
public static <K, V> LinkedHashMap<K, V> sortMapByValue(final Map<K, V> map) {
    return sortMapByValue(map, SortingOrder.ASCENDING);
}

/**
 * Sort a map by it's keys.
 *  
 * @param sortingOrder {@link SortingOrder} enum specifying requested sorting order. 
 * @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
 * @author Maxim Veksler
 */
public static <K, V> LinkedHashMap<K, V> sortMapByKey(final Map<K, V> map, final SortingOrder sortingOrder) {
    Comparator<Map.Entry<K, V>> comparator = new Comparator<Entry<K,V>>() {
        public int compare(Entry<K, V> o1, Entry<K, V> o2) {
            return comparableCompare(o1.getKey(), o2.getKey(), sortingOrder);
        }
    };

    return sortMap(map, comparator);
}

/**
 * Sort a map by it's values.
 *  
 * @param sortingOrder {@link SortingOrder} enum specifying requested sorting order. 
 * @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
 * @author Maxim Veksler
 */
public static <K, V> LinkedHashMap<K, V> sortMapByValue(final Map<K, V> map, final SortingOrder sortingOrder) {
    Comparator<Map.Entry<K, V>> comparator = new Comparator<Entry<K,V>>() {
        public int compare(Entry<K, V> o1, Entry<K, V> o2) {
            return comparableCompare(o1.getValue(), o2.getValue(), sortingOrder);
        }
    };

    return sortMap(map, comparator);
}

@SuppressWarnings("unchecked")
private static <T> int comparableCompare(T o1, T o2, SortingOrder sortingOrder) {
    int compare = ((Comparable<T>)o1).compareTo(o2);

    switch (sortingOrder) {
    case ASCENDING:
        return compare;
    case DESCENDING:
        return (-1) * compare;
    }

    return 0;
}

/**
 * Sort a map by supplied comparator logic.
 *  
 * @return new instance of {@link LinkedHashMap} contained sorted entries of supplied map.
 * @author Maxim Veksler
 */
public static <K, V> LinkedHashMap<K, V> sortMap(final Map<K, V> map, final Comparator<Map.Entry<K, V>> comparator) {
    // Convert the map into a list of key,value pairs.
    List<Map.Entry<K, V>> mapEntries = new LinkedList<Map.Entry<K, V>>(map.entrySet());

    // Sort the converted list according to supplied comparator.
    Collections.sort(mapEntries, comparator);

    // Build a new ordered map, containing the same entries as the old map.  
    LinkedHashMap<K, V> result = new LinkedHashMap<K, V>(map.size() + (map.size() / 20));
    for(Map.Entry<K, V> entry : mapEntries) {
        // We iterate on the mapEntries list which is sorted by the comparator putting new entries into 
        // the targeted result which is a sorted map. 
        result.put(entry.getKey(), entry.getValue());
    }

    return result;
}

/**
 * Sorting order enum, specifying request result sort behavior.
 * @author Maxim Veksler
 *
 */
public static enum SortingOrder {
    /**
     * Resulting sort will be from smaller to biggest.
     */
    ASCENDING,
    /**
     * Resulting sort will be from biggest to smallest.
     */
    DESCENDING
}

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;


    }
 }

迟到。

随着Java-8的出现，我们可以以非常简单/简洁的方式使用流进行数据操作。您可以使用流按值对映射条目进行排序，并创建一个LinkedHashMap，以保留插入顺序迭代。

Eg:

LinkedHashMap sortedByValueMap = map.entrySet().stream()
                .sorted(comparing(Entry<Key,Value>::getValue).thenComparing(Entry::getKey))     //first sorting by Value, then sorting by Key(entries with same value)
                .collect(LinkedHashMap::new,(map,entry) -> map.put(entry.getKey(),entry.getValue()),LinkedHashMap::putAll);

对于反向排序，请替换：

comparing(Entry<Key,Value>::getValue).thenComparing(Entry::getKey)

with

comparing(Entry<Key,Value>::getValue).thenComparing(Entry::getKey).reversed()

这太复杂了。地图不应该按价值排序。最简单的方法是创建自己的类，以满足您的需求。

在下面的示例中，您应该在*所在的位置添加TreeMap比较器。但通过javaAPI，它只提供比较器键，而不提供值。此处所述的所有示例均基于2个地图。一个哈希和一个新树。这很奇怪。

示例：

Map<Driver driver, Float time> map = new TreeMap<Driver driver, Float time>(*);

因此，通过以下方式将地图更改为集合：

ResultComparator rc = new ResultComparator();
Set<Results> set = new TreeSet<Results>(rc);

您将创建类Results，

public class Results {
    private Driver driver;
    private Float time;

    public Results(Driver driver, Float time) {
        this.driver = driver;
        this.time = time;
    }

    public Float getTime() {
        return time;
    }

    public void setTime(Float time) {
        this.time = time;
    }

    public Driver getDriver() {
        return driver;
    }

    public void setDriver (Driver driver) {
        this.driver = driver;
    }
}

以及Comparator类：

public class ResultsComparator implements Comparator<Results> {
    public int compare(Results t, Results t1) {
        if (t.getTime() < t1.getTime()) {
            return 1;
        } else if (t.getTime() == t1.getTime()) {
            return 0;
        } else {
            return -1;
        }
    }
}

这样，您可以轻松添加更多依赖项。

最后一点，我将添加简单迭代器：

Iterator it = set.iterator();
while (it.hasNext()) {
    Results r = (Results)it.next();
    System.out.println( r.getDriver().toString
        //or whatever that is related to Driver class -getName() getSurname()
        + " "
        + r.getTime()
        );
}

map = your hashmap;

List<Map.Entry<String, Integer>> list = new LinkedList<Map.Entry<String, Integer>>(map.entrySet());
Collections.sort(list, new cm());//IMP

HashMap<String, Integer> sorted = new LinkedHashMap<String, Integer>();
for(Map.Entry<String, Integer> en: list){
    sorted.put(en.getKey(),en.getValue());
}

System.out.println(sorted);//sorted hashmap

创建新类

class cm implements Comparator<Map.Entry<String, Integer>>{
    @Override
    public int compare(Map.Entry<String, Integer> a, 
                            Map.Entry<String, Integer> b)
    {
        return (a.getValue()).compareTo(b.getValue());
    }
}