基于visual Studio2013解决C语言竞赛题之0801信息输出

时间:2023-03-09 16:41:05
基于visual Studio2013解决C语言竞赛题之0801信息输出
基于visual Studio2013解决C语言竞赛题之0801信息输出

题目

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" 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解决代码及点评


/*
1. 定义一个结构体其中包括: 职工号、职工名、性别、年龄、工资、地址。
按结构体类型定义一个结构体数组, 从键盘输入每个结构体元素所需的数据,
然后逐个输出这些元素的数据(可设数组只有三个元素)。 */
#include <stdio.h>
#include <stdlib.h>
struct staff
{
char id[20];
char name[20];
char sex[5];
int age;
float salary;
char address[50];
};
void main()
{
const int N = 3;
struct staff sta[N];
for (int i = 0; i < N; i++) // 通过键盘输入3个职工信息
{
gets_s(sta[i].id);
gets_s(sta[i].name);
gets_s(sta[i].sex);
gets_s(sta[i].address);
scanf_s("%d%f",&(sta[i].age),&(sta[i].salary));
} for (int i = 0; i < N; i++) // 将职工信息输出到屏幕
{
printf("----------------------\n");
puts(sta[i].id);
puts(sta[i].name);
puts(sta[i].sex);
puts(sta[i].address);
printf("%d,%.3f",sta[i].age,sta[i].salary);
}
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0801信息输出

2)选择工程

基于visual Studio2013解决C语言竞赛题之0801信息输出

3)创建完工程如下图:

基于visual Studio2013解决C语言竞赛题之0801信息输出

4)增加文件,右键点击项目

基于visual Studio2013解决C语言竞赛题之0801信息输出

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0801信息输出

6)添加文件

基于visual Studio2013解决C语言竞赛题之0801信息输出

7)拷贝代码与运行

基于visual Studio2013解决C语言竞赛题之0801信息输出

程序运行结果

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" 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