先来完成一个将输入数据转换成json格式输出的小任务

 #include <stdio.h>

 int main(){
float latitude;
float longtitude;
char info[];
int started=;
puts("data[");
while(scanf("%f,%f,%79[^\n]",&latitude,&longtitude,info)==){
if(started){
printf(",\n");
}
else{
started=;
}
printf("{latitude:%f,longtitude:%f,info:'%s'}",latitude,longtitude,info);
}
puts("\n]");
return ;
}

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" alt="" />

  有意思的是,我们可以直接将一个配置好的经纬度文件通过程序直接生成json文件,这是gpsdata.csv文件里的数据

42.123123,-71.321321,speed=
41.123123,-71.421321,speed=
43.123123,-71.621321,speed=
44.123123,-71.321321,speed=
45.123123,-71.321321,speed=
42.523123,-70.321321,speed=

  通过程序直接运行,在程序同目录中生成了output.json文件

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" alt="" width="527" height="227" />

  为什么会这样呢?

  在用scanf()从键盘读取数据、printf()向显示器写数据时,这两个函数其实并没有直接使用键盘、显示器,而是用了标准输入和标准输出。程序运行时,操作系统会创建标准的输入和输出。

  "<" 操作符重定向标准输入

  ">" 操作符重定向标准输出

  ">>" 操作符重定向标准输出,如果已存在,追加到已有文件

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