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
}

对于Java 8，您可以使用streams api以一种明显不那么冗长的方式来实现：

Map<K, V> sortedMap = map.entrySet().stream()
                         .sorted(Entry.comparingByValue())
                         .collect(Collectors.toMap(Entry::getKey, Entry::getValue, (e1, e2) -> e1, LinkedHashMap::new));

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());
    }
}

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

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。