• 统计文章中字母、单词出现的频率


             统计文章中字母出现频率:abcdsedgfcvfjghvhgb

    class test1{
        String zimu;//出现的字母
        int cishu;//字母出现的次数
        public test1(String zimu,int cishu) {
            this.zimu = zimu;
            this.cishu = cishu;
        }
        public String getZimu() {
            return zimu;
        }
        public void setZimu(String zimu) {
            this.zimu = zimu;
        }
        public int getCishu() {
            return cishu;
        }
        public void setCishu(int cishu) {
            this.cishu = cishu;
        }
    }
    public class ZimuCollect {
             public static void collect() throws IOException {
            try {
                //IO操作读取文件内容
                FileReader fr = new FileReader("file.txt");
                BufferedReader br = new BufferedReader(fr);
                HashMap<String, Integer> map = new HashMap<String, Integer>();
                String string =null;
                Integer count = 0;//每个字母的次数
                Integer total = 0;//总共多少个字母
                while ((string=br.readLine())!=null) {
                    char[] ch = string.toCharArray();//将获取的string分成字符数组
                    total = total + ch.length;
                    for (int i = 0; i < ch.length; i++) {
                        ch[i] = Character.toLowerCase(ch[i]);//将所有的字母变成小写的
                        count = map.get(ch[i]+"");
                        if (count == null) {//字母没有出现重复;
                            count = 1;
                        }else {//字母出现重复,count+1;
                            count++;
                        }
                        map.put(ch[i]+"", count);
                    }
                }
                List<test1> result = new ArrayList<>();
                 
                test1 e = null;
                for (String str : map.keySet()) {
                    e = new test1(str,map.get(str));
                    result.add(e);
                }
                result.sort((test1 e1,test1 e2)->{
                    return e2.getCishu()-e1.getCishu();});
                 
                for(entity ee : result) {
                    System.out.println("字母"+ee.getZimu()+"在文章中出现"+ee.getCishu()+"次,其频率为"+String.format("%.2f",ee.getCishu()*1.0/total));
                }
                 
     
     
                 
            } catch (FileNotFoundException e) {
                // TODO Auto-generated catch block
                e.printStackTrace();
            }
        }
        public static void main(String[] args) throws IOException {
            try{
                ZimuCollect zimucollect = new ZimuCollect();
                ZimuCollect.collect();
             
             
            } catch (FileNotFoundException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
            }
      }
    }
    

      

            思路: 

          读取文件,将读取到的放在字符数组里,先将其全部变为小写,用map的统计方法统计其出现次数,最后遍历即可。

           统计文章中单词出现的频率:

    package Test;
    import java.io.BufferedReader;
    import java.io.File;
    import java.io.FileNotFoundException;
    import java.io.FileReader;
    import java.io.IOException;
    import java.util.ArrayList;
    import java.util.List;
    import java.util.Map;
    import java.util.Scanner;
    import java.util.TreeMap;
     
    class test2{
        String danci;//出现的单词
        int cishu;//单词对应出现的次数
        public test2(String zimu,int cishu) {
            this.danci = zimu;
            this.cishu = cishu;
        }
        public String getDanci() {
            return danci;
        }
         
        public int getCishu() {
            return cishu;
        }
         
    }
    public class DanciCollect {
        public static boolean judgeNouse(String str) throws IOException {
            boolean flag = true;
            FileReader fr = new FileReader("judge.txt");
            BufferedReader bf = new BufferedReader(fr);
            String str1;            // 按行读取字符串
            while ((str1 = bf.readLine()) != null) {
                if(str.equals(str1)) {
                    flag = false;
                }
            }
            bf.close();
            fr.close();
             
             
            return flag;    
                 
         
        }  
        public static String toLowerCase(String str) {
            char []StringArr = str.toCharArray();
            for (int i = 0; i < StringArr.length; i++) {
                StringArr[i] = Character.toLowerCase(StringArr[i]);
            }
            StringBuffer sb = new StringBuffer();
            for(int i = 0;i < StringArr.length;i++) {
                sb.append(StringArr[i]);
            }
            String str1 = sb.toString();
            return str1; 
             
        }
        public static void collect1() throws IOException {
            try {
                File file1 = new File("piao.txt");//定义一个file对象,用来初始化FileReader
                FileReader reader1 = new FileReader(file1);//定义一个fileReader对象,用来初始化BufferedReader
                BufferedReader bReader1 = new BufferedReader(reader1);//new一个BufferedReader对象,将文件内容读取到缓存
                StringBuilder sb1 = new StringBuilder();//定义一个字符串缓存,将字符串存放缓存中
                String s1 = "";
                while ((s1 =bReader1.readLine()) != null) {//逐行读取文件内容,不读取换行符和末尾的空格
                sb1.append(s1);//将读取的字符串添加换行符后累加p存放在缓存中
                }
                bReader1.close();
                String text = sb1.toString();
                int i=0;
                String[] array = {".",",","?","!",":","‘","’","“","”","—",";","-"};
                for (int j = 0; j < array.length; j++) {
                    text = text.replace(array[j]," ");                      //将text中的array数组中包含的特殊字符用空格代替
                }
                String[] textArray = text.split(" ");                       //根据空格将text分割并存放在textArray中
                Map<String, Integer> map = new TreeMap<String, Integer>();
                Integer count = 0;//每个字母的次数
                Integer total = 0;//总共多少个字母
                while(i < textArray.length) {
                     
                        String str = toLowerCase(textArray[i]);
                        if(!judgeNouse(str)) {
                            total = total + 1;
                            count = map.get(str+"");
                            if (count == null) {//单词没有出现重复;
                                count = 1;
                            }else {//单词出现重复,count+1;
                                count++;
                            }
                            map.put(str+"", count);
                            i++;
                         
                        }
                        else {
                            i++;
                        }
                         
                     
                  }
             
                List<test2> result = new ArrayList<>();
                 
                test2 e = null;
                for (String str : map.keySet()) {
                    e = new test2(str,map.get(str));
                    result.add(e);
                }
                result.sort((test2 e1,test2 e2)->{
                    return e2.getCishu()-e1.getCishu();});
                System.out.println("文章共计"+total+"个单词");
                 
                 
                for(int ii = 0 ; ii < result.size();ii++) {
                    System.out.println(result.get(ii).getDanci()+"在文章中出现"+result.get(ii).getCishu()+"次,其频率为"+String.format("%.2f",result.get(ii).getCishu()*1.0/total));
                }             
         
         
                 
               } catch (FileNotFoundException e) {
                          e.printStackTrace();
            }
        }
        public static void main(String args[]) throws IOException {
            try {
                DanciCollect dancicollect = new DanciCollect();
                DanciCollect.collect1();
            }catch (FileNotFoundException e) {
                         e.printStackTrace();
            }
        }
    }
    

      

          思路:

      读取文件中的内容,用append(s)方法将每次读取的内容追加到缓存,将缓存内容放在字符串里,将特殊符号放到一个数组里,然后将这些特殊符号用空格代替,用split(" ")方法将其分成一个个单词存进字符串数组,然后遍历统计单词频率即可。

       若去掉无用词,在存进map之前用一个函数判断,不是无用词即存进map里,然后用map来统计单词频率,转换成List数组,用sort函数排序,输出频率最高的前n个单词

       这次的代码不是我自己写的,是我借鉴的别人的,因为我自己的那种统计字母与统计单词是完全分开的,不能一个方法来写这两个题,于是从别人那里我学会了使用map方法……

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  • 原文地址:https://www.cnblogs.com/zzstdruan1707-4/p/10994508.html
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