一个稍微有效一点的方法可能是

Map<String, AtomicInteger> instances = new HashMap<String, AtomicInteger>();

void add(String name) {
     AtomicInteger value = instances.get(name);
     if (value == null) 
        instances.put(name, new AtomicInteger(1));
     else
        value.incrementAndGet();
}

要做到这一点，有几种方法，即:

返回单个元素出现次数的方法:

采集频率

Collections.frequency(animals, "bat");

Java流:

过滤器

animals.stream().filter("bat"::equals).count();

只是迭代思考列表

public static long manually(Collection<?> c, Object o){
    int count = 0;
    for(Object e : c)
        if(e.equals(o))
            count++;
    return count;
}

创建频率映射的方法:

Collectors.groupingBy

Map<String, Long> counts = 
       animals.stream()
              .collect(Collectors.groupingBy(Function.identity(), Collectors.counting()));

走

Map<String, Long> map = new HashMap<>();
c.forEach(e -> map.merge(e, 1L, Long::sum));

手动

Map<String, Integer> mp = new HashMap<>();
        animals.forEach(animal -> mp.compute(animal, (k, v) -> (v == null) ? 1 : v + 1));

一个包含所有方法的运行示例:

import java.util.*;
import java.util.function.Function;
import java.util.stream.Collectors;

public class Frequency {

    public static int frequency(Collection<?> c, Object o){
        return Collections.frequency(c, o);
    }

    public static long filter(Collection<?> c, Object o){
        return c.stream().filter(o::equals).count();
    }

    public static long manually(Collection<?> c, Object o){
        int count = 0;
        for(Object e : c)
            if(e.equals(o))
                count++;
        return count;
    }

    public static Map<?, Long> mapGroupBy(Collection<?> c){
        return c.stream()
                .collect(Collectors.groupingBy(Function.identity() , Collectors.counting()));
    }

    public static Map<Object, Long> mapMerge(Collection<?> c){
        Map<Object, Long> map = new HashMap<>();
        c.forEach(e -> map.merge(e, 1L, Long::sum));
        return map;
    }

    public static Map<Object, Long> manualMap(Collection<?> c){
        Map<Object, Long> map = new HashMap<>();
        c.forEach(e -> map.compute(e, (k, v) -> (v == null) ? 1 : v + 1));
        return map;
    }


    public static void main(String[] args){
        List<String> animals = new ArrayList<>();
        animals.add("bat");
        animals.add("owl");
        animals.add("bat");
        animals.add("bat");

        System.out.println(frequency(animals, "bat"));
        System.out.println(filter(animals,"bat"));
        System.out.println(manually(animals,"bat"));
        mapGroupBy(animals).forEach((k, v) -> System.out.println(k + " -> "+v));
        mapMerge(animals).forEach((k, v) -> System.out.println(k + " -> "+v));
        manualMap(animals).forEach((k, v) -> System.out.println(k + " -> "+v));
    }
}

方法名称应该反映这些方法正在做什么，但是，我使用名称来反映所使用的方法(假设在当前上下文中这是可以的)。

Java中没有本地方法可以帮你做这些。但是，你可以使用Apache Commons-Collections中的IterableUtils#countMatches()来为你做这件事。

抱歉，没有简单的方法调用可以做到这一点。你所需要做的就是创建一个地图并计算频率。

HashMap<String,int> frequencymap = new HashMap<String,int>();
foreach(String a in animals) {
  if(frequencymap.containsKey(a)) {
    frequencymap.put(a, frequencymap.get(a)+1);
  }
  else{ frequencymap.put(a, 1); }
}

List<String> list = Arrays.asList("as", "asda", "asd", "urff", "dfkjds", "hfad", "asd", "qadasd", "as", "asda",
        "asd", "urff", "dfkjds", "hfad", "asd", "qadasd" + "as", "asda", "asd", "urff", "dfkjds", "hfad", "asd",
        "qadasd", "as", "asda", "asd", "urff", "dfkjds", "hfad", "asd", "qadasd");

方法1:

Set<String> set = new LinkedHashSet<>();
set.addAll(list);

for (String s : set) {

    System.out.println(s + " : " + Collections.frequency(list, s));
}

方法2:

int count = 1;
Map<String, Integer> map = new HashMap<>();
Set<String> set1 = new LinkedHashSet<>();
for (String s : list) {
    if (!set1.add(s)) {
        count = map.get(s) + 1;
    }
    map.put(s, count);
    count = 1;

}
System.out.println(map);

你想要的是一个袋子——它就像一个集合，但也会计算出现的次数。不幸的是，java集合框架-伟大的，因为他们没有一个包impl。为此，必须使用Apache Common Collection链接文本