一、前言
在之前写过一个词频统计的C语言课设,别人说你一个大三的怎么写C语言课程,我只想说我是先学习VB,VB是我编程语言的开始,然后接触到C语言及C++;再后来我是学习C++,然后反过来学习C语言,记得那时候自己在C++中没有好好学习,考试之前疯狂的背代码,然后过了。后来学习C语言的时候,自己知道基础很重要,然后认真学习。这WC这回自己就轻车熟路,记得那时候丁国辉课设老师,问我有多少是自己写的,我说有80%自己写的,然后他让我当场给程序增加一个总的单词数和每一个单词的频率,当时记得自己在旁边改了十分钟左右才弄完,因为自己太大意,出现了低级错误,然后自己还一直没有发现。自己学习的map来写词频统计map<string,int>mp,发现更快。代码更短,效率更高。
二、分析
1、在命令行中直接输入一串英文字符串,统计单词的个数,自己是C语言学习的一个初学者,在C语言机考中自己总是会很快的敲出来。
#include <iostream>
#include<cstdio>
#include<cstdlib>
using namespace std;
//统计单词的个数
int main()
{
char a;
int count=;
while((a=getchar())!='\n')
{
if(a==' ')
count++;
}
cout << count+ << endl;
return ;
}
2、使用的map的写的统计单词的出现的次数
#include<iostream>
#include<stdio.h>
#include<stdlib.h>
#include<map>
#include<string.h>
using namespace std; int main()
{
cout<<"输入以0结尾"<<endl;
map<string,int>mp;
string str1; while(str1!="")
{
cin>>str1;
mp[str1]++;
}
map<string,int>::iterator iter;
for(iter=mp.begin();iter!=mp.end();iter++)
{
if(iter->first!="") //字符的判断与0
cout<<iter->first<<" "<<iter->second<<endl;
}
return ;
}
3、在文件中怎么读取字符呢。我们定义一个文件指针
FILE *fp; //文件指针
使用的时候记得“读”就行打开了就要关闭
if((fp=fopen(name,"r+"))==NULL){
printf("Open the file failure...\n");
exit();
}
fp=fopen(name,"r");
wordCount(); fclose(fp);
4、定义了一个结构体,使用链表的存储结构
typedef struct word //连表 单词结构
{
char w[Word_Max]; //单词
int count; //个数
struct word *next;
}link;
5、指针指向的字符是否为字母还是其他的格式字符
int isnotWord(char a) //判断是否为字母
{
if(a <= 'z' && a >= 'a')
{
littleletter++;
return ;
}
else if(a <= 'Z' && a >= 'A')
{
bigletter++;
return ;
}
else if(a==' ')
{
space++;
return ;
}
else if(a>=''&&a<='')
{
number++;
return ;
}
else if(a=='\n')
{
hang_num++;
return ;
}
else
{
other++;
return ;
} }
6、如果是添加单词,就要记录该单词,下次指针再次指到,字符串比较strcmp(str1,str2)==0,如果不是就要动态存储分配malloc。
void addWord(char *w1) //添加单词
{ link *p1,*p2;
//if(w1[0] <= 'Z' && w1[0] >= 'A') //转成小写字母
//{
// w1[0]+=32;
//}
for(p1=head;p1!=NULL;p1=p1->next) //判断单词在连表中是否存在
{
if(!strcmp(p1->w,w1))
{
p1->count++; //存在就个数加1
return;
}
} p1=(struct word *)malloc(sizeof(word));//不存在添加新单词
strcpy(p1->w,w1);
p1->count=;
p1->next=NULL;
count++; //总的单词数加加 if(head==NULL)
{
head=p1;
}
else
{
for(p2=head;p2->next!=NULL;p2=p2->next);
p2->next=p1;
}
}
7、单词统计函数
void wordCount() //统计单词
{
int i=,j=;
char word[Word_Max],c;
while(!feof(fp))
{
fscanf(fp,"%c",&c); if(isnotWord(c))
{
word[j]='\0';
if(j>)
{
addWord(word); }
j=;
}
else
{ word[j]=c;
j++;
}
//count9(word);
i++;
}
}
三、运行结果及源代码
文件test.txt默认路径是程序编译下的文件夹中。
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" 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" 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" alt="" />
有人会说,”I“不是出现了吗?我统计的个数是0-4(不包括0和4),而“I”这个单词出现的次数是5,不在范围之内。注意:是.txt中有自动换行功能,所以我统计的是自己用回车键换行的行数,这个才是真正的文本的行数。
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
using namespace std; #define Name_Max 30 //文件名最大长度
#define Word_Max 60 //每个单词最大长度 typedef struct word //连表 单词结构
{
char w[Word_Max]; //单词
int count; //个数
struct word *next;
}link; int count=;
link *head=NULL; //连表头
FILE *fp; //文件指针
int bigletter=,littleletter=,space=,number=,other=,hang_num=;; int isnotWord(char a) //判断是否为字母
{
if(a <= 'z' && a >= 'a')
{
littleletter++;
return ;
}
else if(a <= 'Z' && a >= 'A')
{
bigletter++;
return ;
}
else if(a==' ')
{
space++;
return ;
}
else if(a>=''&&a<='')
{
number++;
return ;
}
else if(a=='\n')
{
hang_num++;
return ;
}
else
{
other++;
return ;
} } void addWord(char *w1) //添加单词
{ link *p1,*p2;
//if(w1[0] <= 'Z' && w1[0] >= 'A') //转成小写字母
//{
// w1[0]+=32;
//}
for(p1=head;p1!=NULL;p1=p1->next) //判断单词在连表中是否存在
{
if(!strcmp(p1->w,w1))
{
p1->count++; //存在就个数加1
return;
}
} p1=(struct word *)malloc(sizeof(word));//不存在添加新单词
strcpy(p1->w,w1);
p1->count=;
p1->next=NULL;
count++; //总的单词数加加 if(head==NULL)
{
head=p1;
}
else
{
for(p2=head;p2->next!=NULL;p2=p2->next);
p2->next=p1;
} } void wordCount() //统计单词
{
int i=,j=;
char word[Word_Max],c;
while(!feof(fp))
{
fscanf(fp,"%c",&c); if(isnotWord(c))
{
word[j]='\0';
if(j>)
{
addWord(word);
// count9(word);
//count1(word,);
}
j=;
}
else
{ word[j]=c;
j++;
}
//count9(word);
i++;
}
} void readWord() //读取文件中的单词
{
char name[Name_Max];
printf("请出入要读取的单词文件名[如:test.txt]:");
scanf("%s",name);
getchar();
if((fp=fopen(name,"r+"))==NULL){
printf("Open the file failure...\n");
exit();
}
fp=fopen(name,"r");
wordCount(); fclose(fp);
} void showWord(int a,int b) //显示单词统计情况
{
link *p; printf("个数\t单词\t频率\n");
for(p=head;p!=NULL;p=p->next)
{ if((p->count > a)&&(p->count < b))
{
printf("%s\t %d\t %.2f\n",p->w,p->count,(float)(p->count)/count);
}
}
printf("总的单词数:%d\n",count);
printf("总共有%d行\n",hang_num+);
printf("总共有%d字符\n",bigletter+littleletter+space+number+other);
printf("大写字母个数:%d 小写字母个数:%d 空格个数%d 数字个数%d 其他个数%d\n",bigletter,littleletter,space,number,other); } int main()
{
readWord();
int a,b;
printf("请输入阈值a和b[如:2 10]:");
scanf("%d %d",&a,&b);
getchar();
showWord(a,b);
getchar();
}