基于visual Studio2013解决C语言竞赛题之0905文件读写显示

时间:2022-07-17 16:03:59



基于visual Studio2013解决C语言竞赛题之0905文件读写显示

题目

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" 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解决代码及点评


/*
5. 用scanf_s函数从键盘读入 5个学生数据(包括:学生名、学号、三门课程的分数),
然后求出平均分数。用 fprintf函数输出所有信息到磁盘文件stud.rec中,
再用 fscanf_s函数从 stud.rec中读入这些数据并在显示屏上显示出来。
*/ #include <stdio.h>
#include <stdlib.h>
typedef struct Student9_3_5
{
char name[20];
int num;
float chinese;
float math;
float english;
}Stu;
/*
保存学生信息
*/
void savaStuInfo95(Stu * stu,int n)
{
Stu temp;
FILE *fp = NULL;
fopen_s(&fp, "stud.rec","wb");
if (fp)
{
float avg;
for (int i = 0; i < n; i++)
{
temp = stu[i];
avg = (temp.chinese + temp.math + temp.english) / 3;
fprintf(fp,"num=%d,chinese=%f,math=%f,english=%f,avg=%f",temp.num,
temp.chinese,temp.math,temp.english,avg);
}
fclose(fp);
}
else
{
printf("open file failed!");
}
}
/*
读取学生信息
*/
void readStuInfo95()
{
FILE *fp = NULL;
Stu stu;
float avg;
fopen_s(&fp, "stud.rec","rb");
if (fp)
{
while(fscanf_s(fp,"num=%d,chinese=%f,math=%f,english=%f,avg=%f",&(stu.num),
&(stu.chinese),&(stu.math),&(stu.english),&avg) != EOF)
{
printf("num = %d chinese = %f math = %f english = %f avg = %f\n",stu.num,
stu.chinese,stu.math,stu.english,avg);
}
fclose(fp);
}
else
{
printf("open file failed!");
}
}
void main()
{
const int N = 5;
Stu stu[N];
for (int i = 0; i< N; i++)
{
printf("请输入第%d个学生姓名:\n",i + 1);
scanf_s("%s",&stu[i].name);
printf("请输入第%d个学生学号:\n",i + 1);
scanf_s("%d",&stu[i].num);
printf("请输入第%d个学生语文成绩:\n",i + 1);
scanf_s("%f",&stu[i].chinese);
printf("请输入第%d个学生数学成绩:\n",i + 1);
scanf_s("%f",&stu[i].math);
printf("请输入第%d个学生英语成绩:\n",i + 1);
scanf_s("%f",&stu[i].english);
}
savaStuInfo95(stu,N);
readStuInfo95();
system("pause");
}

代码编译以及运行

由于资源上传太多,资源频道经常被锁定无法上传资源,同学们可以打开VS2013自己创建工程,步骤如下:

1)新建工程

基于visual Studio2013解决C语言竞赛题之0905文件读写显示

2)选择工程

基于visual Studio2013解决C语言竞赛题之0905文件读写显示

3)创建完工程如下图:

基于visual Studio2013解决C语言竞赛题之0905文件读写显示

4)增加文件,右键点击项目

基于visual Studio2013解决C语言竞赛题之0905文件读写显示

5)在弹出菜单里做以下选择

基于visual Studio2013解决C语言竞赛题之0905文件读写显示

6)添加文件

基于visual Studio2013解决C语言竞赛题之0905文件读写显示

7)拷贝代码与运行

基于visual Studio2013解决C语言竞赛题之0905文件读写显示

程序运行结果

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" alt="" />



代码下载

http://download.csdn.net/detail/yincheng01/6694119

解压密码:c.itcast.cn