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

您可以尝试Guava的多功能地图：

TreeMap<Integer, Collection<String>> sortedMap = new TreeMap<>(
        Multimaps.invertFrom(Multimaps.forMap(originalMap), 
        ArrayListMultimap.<Integer, String>create()).asMap());

因此，您将获得从原始值到对应于它们的键集合的映射。即使同一值有多个键，也可以使用此方法。

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;


    }
 }

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()
        );
}

对于按关键字排序，我找到了一个更好的TreeMap解决方案（我也会尝试为基于值的排序准备一个解决方案）：

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);
        }};

    Map<String, String> sorted = new TreeMap<String, String>(comparer);
    sorted.putAll(unsorted);
    System.out.println(sorted);
}

输出将是：

｛Abc=Abc_Value，Bcd=Bcd_Value，Cde=Cde_Value｝

如果没有大于地图大小的值，可以使用数组，这应该是最快的方法：

public List<String> getList(Map<String, Integer> myMap) {
    String[] copyArray = new String[myMap.size()];
    for (Entry<String, Integer> entry : myMap.entrySet()) {
        copyArray[entry.getValue()] = entry.getKey();
    }
    return Arrays.asList(copyArray);
}