原文地址:https://www.cnblogs.com/mcgrady/p/3397874.html

在Java中,数据类型分为两类,一类是基本数据类型,另外一类是引用类型。

而在C#中,数据类型分为三类,分别是基元类型,值类型和引用类型。其中基元类型是.net framework框架中预定义的类型,当然,基元类型中可能包含有值类型和引用类型。下面是C#中数据类型的图示:

aaarticlea/png;base64,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" alt="" />

这一篇要总结的是java中几种基本的数据类型以及类型转换。大致分为以下几点:

1,整数类型

2,浮点数类型

3,字符类型

4,布尔类型

5,类型转换之自动转换

6,类型转换之强制转换

一,整数类型

整数类型按占用的内存空间位数不同分为4种,分别为8位的byte字节型,16位的short短整型,32位的int整型,以及64位的long长整型。我们一般用int型。

另外,整数有三种表示方法,分别是十进制,八进制和十六进制。我们一般用十进制来表示整型。

下面是例子,代码如下:

public class DataType1 {
public static void main(String[] args) {
final double PI = 3.14; // 声明常量用final
int R = 5; // 声明整型
double ymj = PI * R * R;
System.out.print("圆的面积等于:" + ymj);
}
}

程序输出:圆的面积等于:78.5

总结:从开头C#数据类型的图中可以看到,除了Java中定义的四种整型外,C#还新增了四种整型,分别是sbyte,ushort,uint,ulong

二,浮点数类型

浮点数一般用来表示小数。Java中浮点数分为两种,一种是32位的单精度浮点数float,另一种是64位双精度浮点数double,它们在内存中占用的位数不同,取值范围也不同。Java默认的浮点类型是double类型。所以如果使用单精度浮点型的时候需要显式加上F或者f后缀,如果是双精度浮点型的话,可以加也可以不加。示例和代码如下:

public class DataType2 {
public static void main(String[] args) {
// TODO Auto-generated method stub
float f = 1.2345f; // 单精度浮点类型
double d1 = 1.234; // 双精度浮点类型,没有加后缀使用默认
double d2 = 1.234d; // 双精度浮点型,显示加后缀
System.out.println("单精度浮点类型数值为:" + f);
System.out.println("双精度浮点类型数值为:" + d1);
System.out.println("双精度浮点类型数值为:" + d2);
}
}

程序输出:

单精度浮点类型数值为:1.2345 
双精度浮点类型数值为:1.234 
双精度浮点类型数值为:1.234

总结:C#在java定义的两种浮点型的基础上,新增了decimal类型。它在内存中占用128位的空间,所以它的精度更高,一般用在财务和货币计算中。 

三,字符类型

字符类型一般用来表示单个字符,特别要注意的是,String类型是一个字符数组。基本与C#相同。

四,布尔类型

布尔类型一般用于判断逻辑值真假的数据类型,基本与C#相同。

五,类型转换之自动转换

因为Java和C#一样,都是强类型(即类型明确)语言,所以当遇到不同数据类型同时操作时,就需要进行数据类型转换。

自动转换有一个前提条件,就是两种数据类型要兼容,比如short和int类型是兼容的,因为它们都是整型。而boolean类型不能转换为int型,因为它们是两个不同的类型。

自动转换实际上就是将低位数转换为高位数。下面是示例和代码:

public class TypeConvert1 {

    /**
* @param args
*/
public static void main(String[] args) {
// TODO Auto-generated method stub
short s = 3; // 16位整数
int i = s; // 32位整数
float f = 1.0f; // 32位浮点数
double d = f; // 64位浮点数
long l = 1234l; // 64位整数
double d2 = l; System.out.println("short自动转换为int后的值为:" + i);
System.out.println("float自动转换为double后的值为" + d);
System.out.println("long自动转换为double后的值为" + d2);
}
}

程序输出结果:

short自动转换为int后的值为:3 
float自动转换为double后的值为1.0 
long自动转换为double后的值为1234.0

六,类型转换之强制转换

与自动转换刚好相反,强制转换是将高位数的数据转换为低位数的数据,当然,前提也是转换的数据类型必须兼容。

强制转换有可能会造成数据精度丢失,因为目标数据的数据范围要比源数据的范围小。下面是一个强制转换的例子。

public class TypeConvert2 {
public static void main(String[] args) {
// 基本数据类型转换之强制转换
int i = 123;
byte b = (byte) i; // 强制转换
System.out.println("int类型强制转换为byte后值为:" + b);
}
}

程序输出:int类型强制转换为byte后值为:123

【转】java与.net比较学习系列(3) 基本数据类型和类型转换的更多相关文章

  1. java与.net比较学习系列(3) 基本数据类型和类型转换

    在Java中,数据类型分为两类,一类是基本数据类型,另外一类是引用类型. 而在C#中,数据类型分为三类,分别是基元类型,值类型和引用类型.其中基元类型是.net framework框架中预定义的类型, ...

  2. Java I/O系统学习系列二:输入和输出

    编程语言的I/O类库中常使用流这个抽象概念,它代表任何有能力产出数据的数据源对象或者是有能力接收数据的接收端对象.“流”屏蔽了实际的I/O设备中处理数据的细节. 在这个系列的第一篇文章:<< ...

  3. java与.net比较学习系列(1) 开发环境和常用调试技巧

    最近因为公司项目要由.net平台转到java平台的原因,之前一直用.net的我不得不开始学习java了,刚开始听到说要转java的时候很抗拒,因为我想专注在.net平台上,不过这样也并不完全是坏事,通 ...

  4. Java I/O系统学习系列一:File和RandomAccessFile

    I/O系统即输入/输出系统,对于一门程序语言来说,创建一个好的输入/输出系统并非易事.因为不仅存在各种I/O源端和想要与之通信的接收端(文件.控制台.网络链接等),而且还需要支持多种不同方式的通信(顺 ...

  5. java与.net比较学习系列(2) 基础语言要素

    这一篇从最基础的开始对比总结,说起基础语言要素,故名思义,就是学习语言的基础,主要内容包括标识符,关键字和注释.我想从以下几点进行总结,有区别的地方有都使用红色粗体字进行了总结. 1,标识符 2,关键 ...

  6. Java 7 源码学习系列(一)——String

    String表示字符串,Java中所有字符串的字面值都是String类的实例,例如“ABC”.字符串是常量,在定义之后不能被改变,字符串缓冲区支持可变的字符串.因为 String 对象是不可变的,所以 ...

  7. Java I/O系统学习系列三:I/O流的典型使用方式

    尽管可以通过不同的方式组合IO流类,但我们可能也就只用到其中的几种组合.下面的例子可以作为典型的IO用法的基本参考.在这些示例中,异常处理都被简化为将异常传递给控制台,但是这只有在小型示例和工具中才适 ...

  8. java与.net比较学习系列开发环境和常用调试技巧常用操作快捷键

    调试         F5 F11 调试运行   CTRL+F5 暂无 非调试运行   F6 不适用 编译整个解决方案   SHIFT+F6 不适用 编译当前选择的工程   SHIFT+F5 CTRL ...

  9. java与.net比较学习系列(7) 属性

    文章摘自:http://www.cnblogs.com/mcgrady/p/3411405.html 说起属性,实际上java中没有属性这个概念,只有字段和方法,但是可以通过私有字段和声明get,se ...

随机推荐

  1. Android 框架学习2:源码分析 EventBus 3.0 如何实现事件总线

    Go beyond yourself rather than beyond others. 上篇文章 深入理解 EventBus 3.0 之使用篇 我们了解了 EventBus 的特性以及如何使用,这 ...

  2. java入门学习(3)—循环,选择,基础算法,API概念

    1.顺序结构:也就是顺着程序的前后关系,依次执行.2.选择分支:利用if..else , / switch(){case [ 这个必须是常量]:}; / if..else if….. ….else.. ...

  3. yxy-插入formid-并发/压力(入参的变量化)

    1.抓取接口如下 2.该接口为插入数据库操作,由于前段操作频繁,就简单压测一下 接口中formId.accountId.openId为变量 formId为随机生成插入:accountId.openId ...

  4. Linux常用命令 (转载自大牛笔记 --- http://www.weixuehao.com)

    Linux简介及Ubuntu安装 常见指令 系统管理命令 打包压缩相关命令 关机/重启机器 Linux管道 Linux软件包管理 vim使用 用户及用户组管理 文件权限管理 大牛笔记-www.weix ...

  5. CodeForces - 321E:Ciel and Gondolas (四边形不等式优化DP)

    题意:N个人排成一行,分成K组,要求每组的不和谐值之和最小. 思路:开始以为是斜率优化DP,但是每个区间的值其实已经知道了,即是没有和下标有关的未知数了,所以没必要用斜率. 四边形优化. dp[i][ ...

  6. linux自学(四)之开始centos学习,网络配置

    上一篇:linux自学(三)之开启虚拟机 安装好镜像之后,重启之后需要登录,我这里直接是root账号直接登录的,注意:输入密码的时候不显示. 之后输入ifconfig最常用的命令来查看网卡信息,出现c ...

  7. <context:annotation-config/>,<context:component-scan/>,<mvc:annotation-driven/>区分

    链接:http://blog.csdn.net/baple/article/details/16864175 链接:http://blog.csdn.net/Baple/article/details ...

  8. WCF常用绑定选择

    一.五种常用绑定常用绑定的传输协议以及编码格式 名称 传输协议 编码格式 互操作性 BasicHttpBinding HTTP/HTTPS Text,MTOM Yes NetTcpBinding TC ...

  9. E519: Option not supported: fileencodings

    怒转,来自http://blog.chinaunix.net/uid-10671107-id-2943841.html,感谢分享. vim中文乱码,原来是编译就除了问题,看来还不一定是不是坑爹的red ...

  10. nginx 调试

    配置单进程非daemon方式启动 daemon off; master_process off;