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
}

从…起http://www.programmersheaven.com/download/49349/download.aspx

private static <K, V> Map<K, V> sortByValue(Map<K, V> map) {
    List<Entry<K, V>> list = new LinkedList<>(map.entrySet());
    Collections.sort(list, new Comparator<Object>() {
        @SuppressWarnings("unchecked")
        public int compare(Object o1, Object o2) {
            return ((Comparable<V>) ((Map.Entry<K, V>) (o1)).getValue()).compareTo(((Map.Entry<K, V>) (o2)).getValue());
        }
    });

    Map<K, V> result = new LinkedHashMap<>();
    for (Iterator<Entry<K, V>> it = list.iterator(); it.hasNext();) {
        Map.Entry<K, V> entry = (Map.Entry<K, V>) it.next();
        result.put(entry.getKey(), entry.getValue());
    }

    return result;
}

发布我的答案版本

List<Map.Entry<String, Integer>> list = new ArrayList<>(map.entrySet());
    Collections.sort(list, (obj1, obj2) -> obj2.getValue().compareTo(obj1.getValue()));
    Map<String, Integer> resultMap = new LinkedHashMap<>();
    list.forEach(arg0 -> {
        resultMap.put(arg0.getKey(), arg0.getValue());
    });
    System.out.println(resultMap);

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;


    }
 }

如果倾向于使用一个Map数据结构，该结构可以按值进行固有排序，而不必触发任何排序方法或显式传递给实用程序，则以下解决方案可能适用：

（1） org.rools.chance.core.util.ValueSortedMap（JBoss项目）在内部维护两个映射，一个用于查找，另一个用于维护排序值。与之前添加的答案非常相似，但可能是抽象和封装部分（包括复制机制）使其更安全地从外部使用。

(2) http://techblog.molindo.at/2008/11/java-map-sorted-by-value.html避免维护两个映射，而是依赖/扩展Apache Common的LinkedMap。（博客作者注：这里的所有代码都在公共领域）：

// required to access LinkEntry.before and LinkEntry.after
package org.apache.commons.collections.map;

// SNIP: imports

/**
* map implementation based on LinkedMap that maintains a sorted list of
* values for iteration
*/
public class ValueSortedHashMap extends LinkedMap {
    private final boolean _asc;

    // don't use super()!
    public ValueSortedHashMap(final boolean asc) {
        super(DEFAULT_CAPACITY);
        _asc = asc;
    }

    // SNIP: some more constructors with initial capacity and the like

    protected void addEntry(final HashEntry entry, final int hashIndex) {
        final LinkEntry link = (LinkEntry) entry;
        insertSorted(link);
        data[hashIndex] = entry;
    }

    protected void updateEntry(final HashEntry entry, final Object newValue) {
        entry.setValue(newValue);
        final LinkEntry link = (LinkEntry) entry;
        link.before.after = link.after;
        link.after.before = link.before;
        link.after = link.before = null;
        insertSorted(link);
    }

    private void insertSorted(final LinkEntry link) {
        LinkEntry cur = header;
        // iterate whole list, could (should?) be replaced with quicksearch
        // start at end to optimize speed for in-order insertions
        while ((cur = cur.before) != header & amp; & amp; !insertAfter(cur, link)) {}
        link.after = cur.after;
        link.before = cur;
        cur.after.before = link;
        cur.after = link;
    }

    protected boolean insertAfter(final LinkEntry cur, final LinkEntry link) {
        if (_asc) {
            return ((Comparable) cur.getValue())
            .compareTo((V) link.getValue()) & lt; = 0;
        } else {
            return ((Comparable) cur.getValue())
            .compareTo((V) link.getValue()) & gt; = 0;
        }
    }

    public boolean isAscending() {
        return _asc;
    }
}

（3） 编写一个自定义映射或从LinkedHashMap扩展，该映射仅在枚举期间根据需要进行排序（例如，values（）、keyset（）、entryset（））。内部实现/行为是从使用该类的实现/行为中抽象出来的，但在该类的客户端看来，当请求枚举时，值总是被排序的。如果所有的put操作都在枚举之前完成，这个类希望排序只发生一次。排序方法采用了前面对这个问题的一些回答。

public class SortByValueMap<K, V> implements Map<K, V> {

    private boolean isSortingNeeded = false;

    private final Map<K, V> map = new LinkedHashMap<>();

    @Override
    public V put(K key, V value) {
        isSortingNeeded = true;
        return map.put(key, value);
    }

    @Override
    public void putAll(Map<? extends K, ? extends V> map) {
        isSortingNeeded = true;
        map.putAll(map);
    }

    @Override
    public Set<K> keySet() {
        sort();
        return map.keySet();
    }

    @Override
    public Set<Entry<K, V>> entrySet() {
        sort();
        return map.entrySet();
    }

    @Override
    public Collection<V> values() {
        sort();
        return map.values();
    }

    private void sort() {
        if (!isSortingNeeded) {
            return;
        }

        List<Entry<K, V>> list = new ArrayList<>(size());

        for (Iterator<Map.Entry<K, V>> it = map.entrySet().iterator(); it.hasNext();) {
            Map.Entry<K, V> entry = it.next();
            list.add(entry);
            it.remove();
        }

        Collections.sort(list);

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

        isSortingNeeded = false;
    }

    @Override
    public String toString() {
        sort();
        return map.toString();
    }
}

（4） Guava提供了ImmutableMap.Builder.orderEntriesByValue（Comparator valueComparator），尽管生成的映射是不可变的：

将此生成器配置为根据指定的比较器。排序顺序是稳定的，也就是说，如果两个条目的值作为等价项进行比较，首先插入的条目将是第一个按照构建映射的迭代顺序。

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()
        );
}