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按計數編號排序，不區分大小寫

[英]Sorting by count number and case-insensitive

 原文  2017-02-23 21:17:07  8   1    java/ hashmap/ case-insensitive

問題描述

我在不忽略大小寫的情況下遇到了麻煩。 這是我需要做的

問題

processInput()應該打開並解析輸入文件。 它應該拋出任何潛在的異常，並允許using類處理它們。

generateStatsFile()應生成下面描述的XML文件。 它還應該拋出任何潛在的異常，並允許using類處理它們。 您可以使用PrintWriter創建XML文件，但是應該研究更好的選擇。 請參閱此實驗室附帶的代碼示例。

文本文件分析儀 

import java.io.File;
import java.io.FileNotFoundException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Map;
import java.util.Scanner;
import java.util.TreeMap;

public class TextFileAnalyzer {

private File inputFile;
private File statsXMLFile;
private ArrayList<Word> words;

public static void main(String[] args) {

    HashMap<String, Integer> map = new HashMap<String, Integer>();

    TextFileAnalyzer oneTime = new TextFileAnalyzer();
    oneTime.processInput(map);
}

public void processInput(HashMap<String, Integer> map) {

    System.out.print("Enter file name: ");
    Scanner keyboard = new Scanner(System.in);
    String fileName = keyboard.next();

    try {
        keyboard = new Scanner(new File(fileName)).useDelimiter("[^a-zA-Z]+");

    }

    catch (FileNotFoundException fnf) {

        System.out.println("The file: '" + fileName + "' does not exist!");
        System.exit(0);
    }

    // has it print line by line
    while (keyboard.hasNext()) {`enter code here`

        String word = keyboard.next();
        if (map.containsKey(word)) {
            map.put(word, map.get(word) + 1);
        } else {
            map.put(word, 1);
        }
    }

    for (Map.Entry<String, Integer> entry : map.entrySet()) {

        System.out.println(entry);
    }

    keyboard.close();

}

public void generateStatsFile(HashMap<String, Integer> map) {
         //SOMECODE TO EXPORT TO XML
}

}

==============

字 

import java.io.*;
public class Word implements Comparable {

private String word;
private int usageCnt;

public Word() {
    this("??", 0);
}

public Word(String word, int usageCnt) {

}

public void reset(String word, int usageCnt) {
    this.setWord(word);
    this.usageCnt = usageCnt;
}

// ACCESSORS
public String getWord() {
    return word;
}

public void setWord(String word) {
    this.word = word;
}

public int getUsageCnt() {
    return usageCnt;
}

public void setUsageCnt(int usageCnt) {
    this.usageCnt = usageCnt;
}

// COMPARABLE
@Override
public int compareTo(Object o) {
    return usageCnt;

}

}

原始文本 

Green Eggs and Ham
By Dr. Seuss

I am Sam

Sam I am

That Sam-I-am!
That Sam-I-am!
I do not like
that Sam-I-am!

Do you like green eggs and ham?

I do not like them, Sam-I-am.
I do not like green eggs and ham.

Would you like them here or there?

I would not like them here or there.
I would not like them anywhere.
I do not like green eggs and ham.
I do not like them, Sam-I-am.

Would you like them in a house?
Would you like them with a mouse?

I do not like them in a house.
I do not like them with a mouse.
I do not like them here or there.
I do not like them anywhere.
I do not like green eggs and ham.
I do not like them, Sam-I-am.

Would you eat them in a box?
Would you eat them with a fox?

Not in a box.
Not with a fox.
Not in a house.
Not with a mouse.
I would not eat them here or there.
I would not eat them anywhere.
I would not eat green eggs and ham.
I do not like them, Sam-I-am.

Would you?  Could you?
In a car?  
Eat them!  Eat them!
Here they are.

I would not, could not, in a car.

You may like them.
You will see.
You may like them in a tree!

I would not, could not in a tree.
Not in a car!  You let me be.
I do not like them in a box.
I do not like them with a fox.
I do not like them in a house.
I do not like them with a mouse.
I do not like them here or there.
I do not like them anywhere.
I do not like green eggs and ham.
I do not like them, Sam-I-am.

A train!  A train!
A train!  A train!
Could you, would you, on a train?

Not on a train!  Not in a tree!
Not in a car!  Sam!  Let me be!
I would not, could not, in a box.
I could not, would not, with a fox.
I will not eat them with a mouse.
I will not eat them in a house.
I will not eat them here or there.
I will not eat them anywhere.
I do not eat green eggs and ham.
I do not like them, Sam-I-am.

Say!
In the dark?  Here in the dark!
Would you, could you, in the dark?

I would not, could not, in the dark.

Would you, could you, in the rain?

I would not, could not, in the rain.
Not in the dark.  Not on a train.
Not in a car.  Not in a tree.
I do not like them, Sam, you see.
Not in a house.  Not in a box.
Not with a mouse.  Not with a fox.
I will not eat them here or there.
I do not like them anywhere!

You do not like green eggs and ham?

I do not like them, Sam-I-am.

Could you, would you, with a goat?

I would not, could not, with a goat!

Would you, could you, on a boat?

I could not, would not, on a boat.
I will not, will not, with a goat.
I will not eat them in the rain.
I will not eat them on a train.
Not in the dark!  Not in a tree!
Not in a car!  You let me be!
I do not like them in a box.
I do not like them with a fox.
I will not eat them in a house.
I do not like them with a mouse.
I do not like them here or there.
I do not like them ANYWHERE!
I do not like green eggs and ham!
I do not like them, Sam-I-am.

You do not like them.
So you say.
Try them!  Try them!
And you may.
Try them and you may, I say.

Sam!
If you will let me be, I will try them.
You will see.

<at which point in our story, the heretofore tormented hero cautiously 
 takes a bite of the "green eggs and ham">

Say!
I like green eggs and ham!
I do!  I like them, Sam-I-am!
And I would eat them in a boat.
And I would eat them with a goat...
And I will eat them in the rain.
And in the dark.  And on a train.
And in a car.  And in a tree.
They are so good, so good, you see!
So I will eat them in a box.
And I will eat them with a fox.
And I will eat them in a house.
And I will eat them with a mouse.
And I will eat them here and there.
Say!  I will eat them ANYWHERE!

I do so like
green eggs and ham!
Thank you!
Thank you,
Sam-I-am!

正確的輸出 

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<TEXT_ANALYZER>
  <WORD>
    <WORD_TEXT>not</WORD_TEXT>
    <USAGE_CNT>84</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>i</WORD_TEXT>
    <USAGE_CNT>71</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>them</WORD_TEXT>
    <USAGE_CNT>61</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>a</WORD_TEXT>
    <USAGE_CNT>60</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>like</WORD_TEXT>
    <USAGE_CNT>44</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>in</WORD_TEXT>
    <USAGE_CNT>41</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>do</WORD_TEXT>
    <USAGE_CNT>37</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>you</WORD_TEXT>
    <USAGE_CNT>34</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>and</WORD_TEXT>
    <USAGE_CNT>27</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>would</WORD_TEXT>
    <USAGE_CNT>26</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>eat</WORD_TEXT>
    <USAGE_CNT>25</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>will</WORD_TEXT>
    <USAGE_CNT>21</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>with</WORD_TEXT>
    <USAGE_CNT>19</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>could</WORD_TEXT>
    <USAGE_CNT>14</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>the</WORD_TEXT>
    <USAGE_CNT>13</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>sam-i-am</WORD_TEXT>
    <USAGE_CNT>13</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>ham</WORD_TEXT>
    <USAGE_CNT>13</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>eggs</WORD_TEXT>
    <USAGE_CNT>13</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>green</WORD_TEXT>
    <USAGE_CNT>12</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>here</WORD_TEXT>
    <USAGE_CNT>11</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>train</WORD_TEXT>
    <USAGE_CNT>9</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>there</WORD_TEXT>
    <USAGE_CNT>9</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>or</WORD_TEXT>
    <USAGE_CNT>8</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>mouse</WORD_TEXT>
    <USAGE_CNT>8</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>house</WORD_TEXT>
    <USAGE_CNT>8</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>anywhere</WORD_TEXT>
    <USAGE_CNT>8</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>on</WORD_TEXT>
    <USAGE_CNT>7</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>fox</WORD_TEXT>
    <USAGE_CNT>7</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>dark</WORD_TEXT>
    <USAGE_CNT>7</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>car</WORD_TEXT>
    <USAGE_CNT>7</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>box</WORD_TEXT>
    <USAGE_CNT>7</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>tree</WORD_TEXT>
    <USAGE_CNT>6</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>so</WORD_TEXT>
    <USAGE_CNT>5</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>say</WORD_TEXT>
    <USAGE_CNT>5</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>sam</WORD_TEXT>
    <USAGE_CNT>5</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>try</WORD_TEXT>
    <USAGE_CNT>4</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>see</WORD_TEXT>
    <USAGE_CNT>4</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>rain</WORD_TEXT>
    <USAGE_CNT>4</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>me</WORD_TEXT>
    <USAGE_CNT>4</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>may</WORD_TEXT>
    <USAGE_CNT>4</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>let</WORD_TEXT>
    <USAGE_CNT>4</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>goat</WORD_TEXT>
    <USAGE_CNT>4</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>be</WORD_TEXT>
    <USAGE_CNT>4</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>that</WORD_TEXT>
    <USAGE_CNT>3</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>boat</WORD_TEXT>
    <USAGE_CNT>3</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>they</WORD_TEXT>
    <USAGE_CNT>2</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>thank</WORD_TEXT>
    <USAGE_CNT>2</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>good</WORD_TEXT>
    <USAGE_CNT>2</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>are</WORD_TEXT>
    <USAGE_CNT>2</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>am</WORD_TEXT>
    <USAGE_CNT>2</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>which</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>tormented</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>takes</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>story</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>seuss</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>point</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>our</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>of</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>if</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>hero</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>heretofore</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>dr</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>cautiously</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>by</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>bite</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>&lt;at</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
  <WORD>
    <WORD_TEXT>"green</WORD_TEXT>
    <USAGE_CNT>1</USAGE_CNT>
  </WORD>
</TEXT_ANALYZER>

正在顯示什么 

Enter file name: green_eggs_and_ham.txt
heretofore=1
do=36
anywhere=6
good=2
Eggs=1
that=1
mouse=8
would=17
ham=12
me=4
let=3
Try=3
Thank=2
you=26
they=1
train=9
cautiously=1
which=1
eggs=12
rain=4
Seuss=1
like=44
in=39
tree=6
them=61
Do=1
goat=4
am=15
Dr=1
Not=19
Here=2
at=1
And=12
Eat=2
try=1
If=1
Sam=18
here=9
A=4
be=4
Could=3
In=2
I=84
box=7
Say=3
hero=1
Would=9
house=8
our=1
fox=7
point=1
not=65
see=4
car=7
are=2
and=15
bite=1
of=1
dark=7
eat=23
takes=1
so=3
on=7
That=2
a=56
green=12
or=8
may=4
will=21
could=11
ANYWHERE=2
say=2
boat=3
They=1
the=13
with=19
Ham=1
By=1
there=9
Let=1
tormented=1
So=2
Green=1
You=8
story=1

1 個解決方案

解決方案1
 0  2017-02-27 16:33:42

我很確定這就是您要尋找的。 當您從Scanner獲取每個單詞時，都希望將其轉換為小寫。 您可以使用以下方法執行此操作： 

    String word = keyboard.next().toLowerCase();
    if (map.containsKey(word)) {
        map.put(word, map.get(word) + 1);
    } else {
        map.put(word, 1);
    }

如果您想同時具有區分大小寫和不區分大小寫的映射，則可以使用並行映射來實現。

然后，當涉及到按出現次數排序時，您可以對鍵列表進行某些操作，這些鍵按映射中對應的出現次數進行排序： 

    Map<String, Integer> map = new HashMap<String, Integer>();

    // Populate map and do stuff

    List<String> sortedByOccurences = new ArrayList<String>(map.keySet());

    Collections.sort(sortedByOccurences, new Comparator<String>() {

        @Override
        public int compare(String o1, String o2) {
            return map.get(o1) - map.get(o2);
        }

    });

希望這接近您要尋找的東西。

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