Python 日期和时间 —— datetime
Python 日期和时间 —— datetime
Python提供了多个内置模块用于操作日期时间,如calendar,time,datetime。calendar用于处理日历相关 ;time提供的接口与C标准库time.h基本一致;而其中应用最广的即datetime,相比于time模块,datetime模块的接口则更直观、更容易调用。本文将会对datetime进行学习。
datetime 模块为日期和时间处理提供了多种方法。支持方法的同时,还可格式化输出。此外,该模块还支持时区的处理。
datetime 库
aaarticlea/png;base64,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" alt="" />
可见包含四大类,date表示日期(年月日);datetime(年月日时分秒...)继承 date;time表示时间(时分秒...);timedelta 表示时间差;tzinfo 表示时区信息(本章暂不做介绍)。
datetime.date
date 即日期,类的构成为 (年, 月,日),对应的 year、month、day 均为date类的属性(type 为 int)。
year的范围是[MINYEAR, MAXYEAR],即[1, 9999];
month的范围是[1, 12]。(月份是从1开始的,不是从0开始的);
day的最大值根据给定的year, month参数来决定。例如闰年2月份有29天,非闰年28天; 若超范围,会报错 aaarticlea/png;base64,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" alt="" />
today() 返回当日;weekday() 返回当前星期数,若星期一,返回0、若星期2,返回1,以此类推;isoweekday() 若星期一,返回1、若星期2,返回2,以此类推;
isoformat() 返回日期以ISO格式,即 'YYYY-MM-DD’的字符串;strftime(...) 方法可自定义日期表示法(time和datetime也均可使用),该方法会在博文之后详细说明。
date.replace(year/month/day):生成一个新的日期对象,用参数指定的年,月,日代替原有对象中的属性。(原有对象仍保持不变)
一些其他的方法请参考文档,上述方法示例代码如下:
aaarticlea/png;base64,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" alt="" />
datetime.time
time 即时间,类的构成为 (时, 分, 秒, 微秒, 时区 信息),微妙、时区信息可缺省。
time类提供的实例方法和属性:time.hour、time.minute、time.second、time.microsecond:时、分、秒、微秒; time.tzinfo:时区信息(暂不介绍);
其中 time.min = time(0, 0, 0, 0), time.max = time(23, 59, 59, 999999);time.resolution:时间的最小单位,这里是1微秒;
isoformat() 返回时间以ISO格式,即 "HH:MM:SS" 的字符串;strftime(...) 方法也可自定义时间表示法,该方法会在博文之后详细说明。
time.replace([ hour[ , minute[ , second[ , microsecond[ , tzinfo] ] ] ] ] ):生成一个新的时间对象,用参数指定的时、分、秒、微秒代替原有对象中的属性(原有对象仍保持不变);
一些其他的方法请参考文档,上述方法示例代码 如下:
aaarticlea/png;base64,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" alt="" />
datetime.datetime
datetime是date与time的结合体,包括date与time的所有信息(常用的时间处理就用datetime)。
它的构造函数如下:datetime.datetime (year, month, day[ , hour[ , minute[ , second[ , microsecond[ , tzinfo] ] ] ] ] ),各参数的含义与date、time的构造函数中的一样,要注意参数值的范围。
datetime类定义的类属性与方法:
datetime.today():返回一个表示当前本地时间的datetime对象;
datetime.now([tz]):返回一个表示当前本地时间的datetime对象,如果提供了参数tz,则获取tz参数所指时区的本地时间;
datetime.utcnow():返回一个当前utc时间的datetime对象;
datetime.fromtimestamp(timestamp[, tz]):根据时间戮创建一个datetime对象,参数tz指定时区信息;
datetime.date():获取date对象; datetime.time():获取time对象;
datetime. replace ([ year[ , month[ , day[ , hour[ , minute[ , second[ , microsecond[ , tzinfo] ] ] ] ] ] ] ]) : 用法同date和time方法;
datetime.combine(date, time):根据date和time,创建一个datetime对象;
datetime.strptime(date_string, format):将格式字符串转换为datetime对象;同样该方法会在博文之后详细说明。
time 模块本文不介绍,但需要了解一个比较重要的概念,即时间戳
time() -> floating point number
Return the current time in seconds since the Epoch.
Fractions of a second may be present if the system clock provides them.Unix time, POSIX time 或 Unix timestamp 是从Epoch(1970年1月1日00:00:00 UTC)开始所经过的秒数,不考虑闰秒。相关的详细了解请 Google。
import time
timestamp = time.time()
print timestamp
上述 datetime 的方法示例如下:
aaarticlea/png;base64,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" alt="" />
datetime.timedelta
即表示一个时间的差值: aaarticlea/png;base64,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" alt="" />
具体参考文档,这边就不多加阐述了:
timedelta([days[, seconds[, microseconds[, milliseconds[, minutes[, hours[, weeks]]]]]]])
All arguments are optional and default to 0. Arguments may be ints, longs, or floats, and may be positive or negative.
Only days, seconds and microseconds are stored internally. Arguments are converted to those units:
- A millisecond is converted to 1000 microseconds.
- A minute is converted to 60 seconds.
- An hour is converted to 3600 seconds.
- A week is converted to 7 days.
and days, seconds and microseconds are then normalized so that the representation is unique, with
- 0 <= microseconds < 1000000
- 0 <= seconds < 3600*24 (the number of seconds in one day)
- -999999999 <= days <= 999999999
主要是对date、time、datetime 一些 timedelta 操作的支持,如下:
date 对某些操作进行了重载,它允许我们对日期进行如下一些操作:
date2 = date1 + timedelta # 日期加上一个间隔,返回一个新的日期对象(timedelta将在下面介绍,表示时间间隔)
date2 = date1 - timedelta # 日期隔去间隔,返回一个新的日期对象
timedelta = date1 - date2 # 两个日期相减,返回一个时间间隔对象
date1 < date2 # 两个日期可进行比较
注: 对日期进行操作时,要防止日期超出它所能表示的范围。
time 和 datetime 的操作与 date 雷同,这里就不提供例子了。
时间的格式化
datetime、date、time 都提供了strftime()方法,该方法接收一个格式字符串,输出日期时间的字符串表示。
aaarticlea/png;base64,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" alt="" />
参考示例如下:
aaarticlea/png;base64,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" alt="" />
Python 日期和时间 —— datetime的更多相关文章
- Python 日期和时间(转)
Python 日期和时间 Python程序能用很多方式处理日期和时间.转换日期格式是一个常见的例行琐事.Python有一个 time 和 calendar 模组可以帮忙. 什么是Tick? 时间间隔是 ...
- (转)Python 日期和时间
转自http://www.runoob.com/python/python-date-time.html Python 日期和时间 Python 程序能用很多方式处理日期和时间,转换日期格式是一个常见 ...
- 【310】◀▶ Python 日期和时间
参考: python 时间日期计算 Python 日期和时间(菜鸟教程) 8.1. datetime — Basic date and time types python中datetime模块中dat ...
- python 日期、时间、字符串相互转换
python 日期.时间.字符串相互转换 在python中,日期类型date和日期时间类型dateTime是不能比较的. (1)如果要比较,可以将dateTime转换为date,date不能直接转换为 ...
- Python 日期和时间_python 当前日期时间_python日期格式化
Python 日期和时间_python 当前日期时间_python日期格式化 Python程序能用很多方式处理日期和时间,转换日期格式是一个常见的功能. Python 提供了一个 time 和 cal ...
- Python日期和时间_什么是Tick_什么是时间元组_获取当前时间
Python 日期和时间_什么是 Tick _什么是时间元组: 时间和日期:某年某月某日某时某分某秒 Tick: 时间间隔以 秒 为单位的浮点小数,起始时间为:1970年1月1日0点0分开始 # Ti ...
- 【转】Python 日期和时间
本文转自:http://www.runoob.com/python/python-date-time.html Python 程序能用很多方式处理日期和时间,转换日期格式是一个常见的功能. Pytho ...
- python日期与时间
1.介绍 Python 提供了一个 time 和 calendar 模块可以用于格式化日期和时间. 时间间隔是以秒为单位的浮点小数. 每个时间戳都以自从1970年1月1日午夜(历元)经过了多长时间来表 ...
- $python日期和时间的处理
总结一下python中对日期和时间的常用处理方法. 准备 import time,datetime 常用操作 输出当前的日期时间 方式一: now = time.localtime() print ' ...
随机推荐
- netty 基础知识
http://my.oschina.net/bieber/blog/406799 线程模型 http://hongweiyi.com/2014/01/netty-4-x-thread-model/ h ...
- IEEEXtreme 10.0 - Playing 20 Questions with an Unreliable Friend
这是 meelo 原创的 IEEEXtreme极限编程大赛题解 Xtreme 10.0 - Playing 20 Questions with an Unreliable Friend 题目来源 第1 ...
- 深入理解计算机系统项目之 Shell Lab
博客中的文章均为meelo原创,请务必以链接形式注明本文地址 Shell Lab是CMU计算机系统入门课程的一个实验.在这个实验里你需要实现一个shell,shell是用户与计算机的交互界面.普通意义 ...
- Linux的shell终端常用快捷键
参考: http://www.360doc.com/content/17/0627/09/44797135_666854802.shtml https://linux.cn/article-5660- ...
- C#窗体内嵌外部程序(cmd.exe)的显示【转载】
[DllImport("User32.dll ", EntryPoint = "SetParent")] private static extern IntPt ...
- bzoj 1856 卡特兰数
复习了一下卡特兰数.. #include<bits/stdc++.h> #define LL long long #define fi first #define se second #d ...
- Qt基础——让使用Designer创建的UI也能自动适应窗口大小
原文请看:http://www.cnblogs.com/linmeng/archive/2012/07/05/2559259.html 我们知道,通过Qt的各种Layout可以实现控件的自动布局. 但 ...
- ref:使用Dezender对zend加密后的php文件进行解密
ref:http://www.cnblogs.com/88223100/ 使用Dezender对zend加密后的php文件进行解密 在开发中需要修改一些php文件,部分是通过zend加密的,记事本 ...
- angular4 监听input框输入值的改变
angular中一般控件会有change事件,但是如果某些控件没有这个事件 我们如何监听值的变化呢? 对于双向绑定的值,当值改变后监听事件有如下写法: 1. 如果是ngModel可以用ngModelC ...
- mysql树形结构递归查询
之前一直用的是Oracle,对于树形查询可以使用start with ... connect by ' connect by id = prior parent_id; 没错,这是Oracle所支持的 ...