3.Java基础之Date对象

时间:2021-11-13 07:02:54

毕向东老师Java基础学习笔记——Date对象

今天学习Java中的Date对象后,感觉这个对象对我们主要有以下几点用处.

1.获取时间和日期并按照自己定义的格式显示。

2.网站设计时显示时间。

 知识点如下:

java.util

Date 表示特定的瞬间,精确到毫秒。

在 JDK 1.1 之前,类 Date 有两个其他的函数。它允许把日期解释为年、月、日、小时、分钟和秒值。它也允许格式化和解析日期字符串。不过,这些函数的 API 不易于实现国际化。从 JDK 1.1 开始,应该使用 Calendar 类实现日期和时间字段之间转换,使用 DateFormat 类来格式化和解析日期字符串。Date 中的相应方法已废弃。

java.text

类 DateFormat

DateFormat 是日期/时间格式化子类的抽象类,它以与语言无关的方式格式化并解析日期或时间。日期/时间格式化子类(如 SimpleDateFormat)允许进行格式化(也就是日期 -> 文本)、解析(文本-> 日期)和标准化。将日期表示为 Date 对象,或者表示为从 GMT(格林尼治标准时间)1970 年 1 月 1 日 00:00:00 这一刻开始的毫秒数。

3.Java基础之Date对象

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAABC4AAAAmCAIAAACEUU2PAAAEmElEQVR4nO3du43rRhQGYLXFDtQEu1DKQgZQAQ4cMlcDKsAZYwPuQQ74Jofk8LFX18Z38CW7y4dWEX+cM5zbZ1D//P3Xn38EAACAH1KHjs/nc5tHkff7AwAA8BNEEQAA4AtEEQAA4AtEEQAA4At+2yhShfAKoUo9vqzKsiq//W0CAACJzkeRV3673W63W/7ac+OqyO5Z9ghrB9yaC4c9HyN7ltHfp15np/CI3RQAANhwSVeke9xfiRbLZ8UzTBNFsqLac7V7UUb+GvLZjWZdlLK4386UNAIAAHtcM6DVPcfv6zzULYX4WVdGkany2XZctrJTc2R72OTH/jDjYQAAsM9Va0VeeXbPop2BOm/EWx9NYyQPnzK8QngNTj8eRZL6G9mzfL9CeIX17JQYRQAAgJ0So0i/cuN4rS0mmS9Sn0aRZshqMQb0a0KG92rOqjNS04RZDxL1fdvuyloUab8To1kAALDfZcvWN9oX6yNM7aTWRpYJr6J4FoMbhXzl4OGV70VZH7w9wbVyzY17AQAAyS6LIsmP4/NmQlXkjzyf9hbqSHBorUhzi/FHGsSYQT6ZX2p039UBrZ2fEAAA6J2OIu0S8F2dgdG0VfnMYg/056PIdsVmq0QRAAD4Ba6KIrMOw9pq9T7AZEW1NDd1OIqU5XPcqGmTSfdhVlefiyIAAPALnI4iW8s8lp7U6+f4PLzy/JHHEkvsQT8+yvV+f6bL1mNRJA+TbslaFFn+f+7Tjsu+vR0BAIDP+3wUad6cO510mjUi1k/fW/PBqi4R5a936tLzaBSZvsuru5TuBwAAXOhkFFna/SPttVrvqsjuWRaLBCu7H05extXvV3jrBr3alsvoQ/aXSt8eZHslTP2f2mkEAAD2ORdFlhaKJK5lX1xP0k1SPfIw/2unH8rKimceiSL19NdzOJeVFVV6FGlaIlsrXoYpCAAASHEqijTjVfMn9aWIMhJ95e7n/d542e78Rnn4jN+gNYgi0bmsSBQ5uodjMypWFcWzKGbfAwAAsOBMFBk9/Y+s7Wu+uXZ8MtxVlWVVbjccolFktHV6vw4+qSsSnzFrF7eYyAIAgFOOR5GV4aWFtexDi+va55fdmJJqXBxFmptO/oVDm6gAAABzR6PIWt9j4Tk+eswkYCysHknoRaQOaCVFkdEikFl5ey8AAJx2KIpsLAVJeZNv7Jg6hywEmPaluks3XYki3S8fed7v775vyGoeTlaDFgAAsO5AFJm/vna8TWHSFFPbr2jP6me6tvZMjGeAUTpaXhA/OjgtigxCSL1uZLIXiv1GAADggJ1RZOkhPpIfkhaFt1FkNkm1vP/66MrTZkX9p3gUmW6nuNXWGOyTGGvF9Lf2Gl8AANgtOYp0T97LT/CDZ/39T+fhsX1W+cyiXYg2CHUv3VrpirQfcnqv6L7vm8vT+6EvAABgj5O7rf8mEl/4CwAA/C7+H1EEAAD4jxFFAACALxBFAACALxBFAACALxBFAACALxBFAACAL1iMIgAAAD9qsSvCnG8GAAAusRZFPmpWvhmllFJKKaUuKVFkX/lmlFJKKaWUuqS6R+t/AaXdFlpLuEgxAAAAAElFTkSuQmCC" alt="" />

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

aaarticlea/png;base64,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" alt="" />
public class SimpleDateFormat extends DateFormat

     SimpleDateFormat 是一个以与语言环境有关的方式来格式化和解析日期的具体类。它允许进行格式化(日期 -> 文本)、解析(文本 -> 日期)和规范化。SimpleDateFormat 使得可以选择任何用户定义的日期-时间格式的模式。但是,仍然建议通过 DateFormat 中的 getTimeInstancegetDateInstancegetDateTimeInstance 来创建日期-时间格式器。每一个这样的类方法都能够返回一个以默认格式模式初始化的日期/时间格式器。可以根据需要使用 applyPattern 方法来修改格式模式。

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

日期和时间模式

日期和时间格式由日期和时间模式 字符串指定。在日期和时间模式字符串中,未加引号的字母 'A''Z''a''z' 被解释为模式字母,用来表示日期或时间字符串元素。文本可以使用单引号 (') 引起来,以免进行解释。"''" 表示单引号。所有其他字符均不解释;只是在格式化时将它们简单复制到输出字符串,或者在解析时与输入字符串进行匹配。

定义了以下模式字母(所有其他字符 'A''Z''a''z' 都被保留):

字母 日期或时间元素 表示 示例
G Era 标志符 Text AD
y Year 1996; 96
M 年中的月份 Month July; Jul; 07
w 年中的周数 Number 27
W 月份中的周数 Number 2
D 年中的天数 Number 189
d 月份中的天数 Number 10
F 月份中的星期 Number 2
E 星期中的天数 Text Tuesday; Tue
a Am/pm 标记 Text PM
H 一天中的小时数(0-23) Number 0
k 一天中的小时数(1-24) Number 24
K am/pm 中的小时数(0-11) Number 0
h am/pm 中的小时数(1-12) Number 12
m 小时中的分钟数 Number 30
s 分钟中的秒数 Number 55
S 毫秒数 Number 978
z 时区 General time zone Pacific Standard Time; PST; GMT-08:00
Z 时区 RFC 822 time zone -0800

范例源码如下:

/********************************

   Date对象在java.util包中

   DateFormat在java.text包中

********************************/
import java.text.*;
import java.util.*;
class DateDemo
{
public static void main(String[] args)
{
Date d=new Date();
System.out.println(d);//打印的时间看不懂,希望有些格式。 //将模式封装到SimpleDateFormat对象中。
SimpleDateFormat sdf=new SimpleDateFormat("yyyy年MM月dd日"); //调用format方法格式化指定Date对象。 String time =sdf.format(d);
System.out.println("time="+time);
}
}

程序运行截图:

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