本文实例总结了python中日期和时间格式化输出的方法。分享给大家供大家参考。具体分析如下:
python格式化日期时间的函数为datetime.datetime.strftime();由字符串转为日期型的函数为:datetime.datetime.strptime(),两个函数都涉及日期时间的格式化字符串,这里提供详细的代码详细演示了每一个参数的使用方法及范例。
下面是格式化日期和时间时可用的替换符号 %a 输出当前是星期几的英文简写
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%a') 'Sun'
%A 输出完整的星期几名称英文
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%A') 'Sunday'
%b 输出月份的英文简写
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%b') 'Sep'
%B 输出月份的英文完整名称
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%B') 'September'
%c 以本地时间显示日期和时间
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%c') '09/15/13 21:43:29'
%d 显示1-31之间的数,每月的第几天,也就是年月日中的日
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%d') '15'
%H 以24小时制显示小时,比如,02,14
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%H') '21'
%I 以12小时制的方式显示当前小时,例如当前jb51.net服务器的时间为晚上21点,使用%I显示09
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%I') '09'
%j 显示当前日期为一年中的第几天,如当前jb51.net服务器时间为2013年9月15日,则显示为258,也就是一年中的第258天
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%j') '258'
%m 显示1-12之间的月份
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%m') '09'
%M 显示00-59之间的分钟数
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%M') '43'
%p 以 A.M./P.M.方式显示是上午还是下午
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%p') 'PM'
%S 显示0-59之间的秒数
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%S') '29'
%U 显示一年中的第几周,星期天为一周的第一天,例如当前www.jb51.net服务器时间为2013年9月15日,星期天,显示为第37周
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%U') '37'
%w 显示一周中的第几天,其中星期天为0,星期一为1,例如:jb51.net当前日期为2013年9月17日星期二,则显示结果为2
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%w') '2'
%W 显示一年中的第几周,和U%把不同的是星期一为一周的第一天,例如当前www.jb51.net服务器时间为2013年9月17日,星期二,显示为第37周,范围在0-51之间
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%W') '37'
%x 显示当地的日期,例如jb51.net本地时间为:北京时间2013年9月17日
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%x') '09/17/13'
%X 显示当地的时间,例如jb51.net本地时间为:北京时间2013年9月17日 07:55:04
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%X') '07:55:04'
%y 显示(00 - 99) 之间的年份,例如:jb51.net服务器时间为:2013年9月17日,则显示结果为13
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%y') '13'
%Y 显示完整年份,例如:jb51.net服务器时间为:2013年9月17日,则显示结果为2013
>>> import datetime >>> now=datetime.datetime.now() >>> now.strftime('%Y') '2013'
%z, %Z 输出时区,如果不能显示,则显示为空字符 %% 用于显示%符号
>>> now.strftime('%%') '%'
在举一个完整的例子:
显示当前日期时间:格式为:年-月-日 时:分:秒
>>> datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'); '2013-09-17 08:06:17'
希望本文所述对大家的Python程序设计有所帮助。

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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