我对Java比较陌生,经常发现需要对值进行Map<Key,Value>排序。
由于这些值不是唯一的,我发现自己将keySet转换为一个数组,并使用自定义比较器通过数组排序对该数组进行排序,该比较器根据与该键关联的值进行排序。
有没有更简单的方法?
我对Java比较陌生,经常发现需要对值进行Map<Key,Value>排序。
由于这些值不是唯一的,我发现自己将keySet转换为一个数组,并使用自定义比较器通过数组排序对该数组进行排序,该比较器根据与该键关联的值进行排序。
有没有更简单的方法?
当前回答
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}
其他回答
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}
当你有两个相等的项目时,投票给最多的答案不起作用。TreeMap保留相等的值。
示例:未排序地图
key/value: D/67.3 key/value: A/99.5 key/value: B/67.4 key/value: C/67.5 key/value: E/99.5
后果
key/value: A/99.5 key/value: C/67.5 key/value: B/67.4 key/value: D/67.3
所以省略了E!!
对我来说,它可以很好地调整比较器,如果它等于,则不返回0,而是返回-1。
在示例中:
类ValueComparator实现Comparator{地图库;公共ValueComparator(地图库){this.base=基数;}public int compare(对象a,对象b){如果((双)base.get(a)<(双)base.get(b)){返回1;}否则如果((双)base.get(a)==(双)base.get(b)){返回-1;}其他{返回-1;}}}
现在它返回:
未排序地图:
key/value: D/67.3 key/value: A/99.5 key/value: B/67.4 key/value: C/67.5 key/value: E/99.5
结果:
key/value: A/99.5 key/value: E/99.5 key/value: C/67.5 key/value: B/67.4 key/value: D/67.3
作为对《外国人》的回应(2011年11月22日):我将此解决方案用于整数Id和名称的映射,但想法是相同的,因此上面的代码可能不正确(我将在测试中编写并给您正确的代码),这是基于上面解决方案的map排序代码:
package nl.iamit.util;
import java.util.Comparator;
import java.util.Map;
public class Comparators {
public static class MapIntegerStringComparator implements Comparator {
Map<Integer, String> base;
public MapIntegerStringComparator(Map<Integer, String> base) {
this.base = base;
}
public int compare(Object a, Object b) {
int compare = ((String) base.get(a))
.compareTo((String) base.get(b));
if (compare == 0) {
return -1;
}
return compare;
}
}
}
这是测试类(我刚刚测试了它,这适用于Integer,StringMap:
package test.nl.iamit.util;
import java.util.HashMap;
import java.util.TreeMap;
import nl.iamit.util.Comparators;
import org.junit.Test;
import static org.junit.Assert.assertArrayEquals;
public class TestComparators {
@Test
public void testMapIntegerStringComparator(){
HashMap<Integer, String> unSoretedMap = new HashMap<Integer, String>();
Comparators.MapIntegerStringComparator bvc = new Comparators.MapIntegerStringComparator(
unSoretedMap);
TreeMap<Integer, String> sorted_map = new TreeMap<Integer, String>(bvc);
//the testdata:
unSoretedMap.put(new Integer(1), "E");
unSoretedMap.put(new Integer(2), "A");
unSoretedMap.put(new Integer(3), "E");
unSoretedMap.put(new Integer(4), "B");
unSoretedMap.put(new Integer(5), "F");
sorted_map.putAll(unSoretedMap);
Object[] targetKeys={new Integer(2),new Integer(4),new Integer(3),new Integer(1),new Integer(5) };
Object[] currecntKeys=sorted_map.keySet().toArray();
assertArrayEquals(targetKeys,currecntKeys);
}
}
以下是地图比较器的代码:
public static class MapStringDoubleComparator implements Comparator {
Map<String, Double> base;
public MapStringDoubleComparator(Map<String, Double> base) {
this.base = base;
}
//note if you want decending in stead of ascending, turn around 1 and -1
public int compare(Object a, Object b) {
if ((Double) base.get(a) == (Double) base.get(b)) {
return 0;
} else if((Double) base.get(a) < (Double) base.get(b)) {
return -1;
}else{
return 1;
}
}
}
这是一个测试用例:
@Test
public void testMapStringDoubleComparator(){
HashMap<String, Double> unSoretedMap = new HashMap<String, Double>();
Comparators.MapStringDoubleComparator bvc = new Comparators.MapStringDoubleComparator(
unSoretedMap);
TreeMap<String, Double> sorted_map = new TreeMap<String, Double>(bvc);
//the testdata:
unSoretedMap.put("D",new Double(67.3));
unSoretedMap.put("A",new Double(99.5));
unSoretedMap.put("B",new Double(67.4));
unSoretedMap.put("C",new Double(67.5));
unSoretedMap.put("E",new Double(99.5));
sorted_map.putAll(unSoretedMap);
Object[] targetKeys={"D","B","C","E","A"};
Object[] currecntKeys=sorted_map.keySet().toArray();
assertArrayEquals(targetKeys,currecntKeys);
}
当然,你可以让它更通用,但我只需要一个案例(地图)
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);
}
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}
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