A time tuple
1. Interaction between time tuple and timestamp
import time,datetime # 获取当前时间的时间元组 t = time.localtime() print(t) # 时间元组转时间戳 timestamp = time.mktime(t) print(timestamp) # time.struct_time(tm_year=2019, tm_mon=10, tm_mday=23, tm_hour=23, tm_min=15, tm_sec=41, tm_wday=2, tm_yday=296, tm_isdst=0) # 1571843741.0 # 获取时间戳 ts = time.time() # 时间戳转时间元组 # 方法一 print('法一:',time.localtime(ts)) # 方法二 print('法二:',time.gmtime(ts)) # 两种方法的区别只有小时的输出不同,法一的小时是24小时制的,法二是12小时的 # time.struct_time(tm_year=2019, tm_mon=10, tm_mday=23, tm_hour=23, tm_min=10, tm_sec=14, tm_wday=2, tm_yday=296, tm_isdst=0) # time.struct_time(tm_year=2019, tm_mon=10, tm_mday=23, tm_hour=15, tm_min=10, tm_sec=14, tm_wday=2, tm_yday=296, tm_isdst=0)
2. Interaction between time tuple and string Transformation
import time # 字符串转时间元组 # 字符类型的时间 t1 = '2013-10-10 23:40:00' # 转为时间元组,时间元组本身没有直接的用处,但它可以输出时间的年月日时分秒等 # 注意这里的字符串除了%Y %m %d %H %M %S分别代表字符串中的年月日时分秒, # 这里的格式必须和字符串一模一样,由于字符串中间有空格,它也不能少 timeArray = time.strptime(t1, "%Y-%m-%d %H:%M:%S") print('并没有直接的用处:', timeArray) print('输出年:', timeArray.tm_year) print('输出月:', timeArray.tm_mon) print('输出日:', timeArray.tm_mday) print('输出时:', timeArray.tm_hour) print('输出分:', timeArray.tm_min) print('输出秒:', timeArray.tm_sec) # 当用%Y时表示的是年份的全称,当用%y时表示简称, # 月份和小时没有这种用法,它们只用小写,时分秒的貌似只用大写 t2 = '19/09/05 22/16' timeArray = time.strptime(t2, "%y/%m/%d %H/%M") print(timeArray) # 并没有直接的用处: time.struct_time(tm_year=2013, tm_mon=10, tm_mday=10, tm_hour=23, tm_min=40, tm_sec=0, tm_wday=3, tm_yday=283, tm_isdst=-1) # 输出年: 2013 # 输出月: 10 # 输出日: 10 # 输出时: 23 # 输出分: 40 # 输出秒: 0 # time.struct_time(tm_year=2019, tm_mon=9, tm_mday=5, tm_hour=22, tm_min=16, tm_sec=0, tm_wday=3, tm_yday=248, tm_isdst=-1) # 时间元组转字符串 ts = time.strftime("%Y/%m/%d %H:%M:%S", timeArray) print(ts) # 2019/09/05 22:16:00
Two strings and timestamps
Strings and timestamps cannot be converted directly, and must be completed through time tuples, which are intermediaries.
Conversion diagram:
Usage of addition and subtraction of three times
Time tuples cannot be added or subtracted, only the time in datetime format can be added or subtracted. Below After the string is converted to datetime, time addition and subtraction operations are performed.
import datetime start = '2019-07-28 00:00:08' end = '2019-07-29 00:50:03' # 先将字符串转化为时间格式 a = datetime.datetime.strptime(start, "%Y-%m-%d %H:%M:%S") b = datetime.datetime.strptime(end, "%Y-%m-%d %H:%M:%S") print(a,b) # 只能直接计算秒和天,其它的不能 # seconds获得的秒只是时间差中的小时、分钟和秒部分的和,并没有包含时间差的天数 print((b-a).seconds) # total_seconds来获取准确的时间差,并将时间差转换为秒 print((b-a).total_seconds()) # 如果不够一天,会输出0 print((b-a).days) # 时间相加 c = a + datetime.timedelta(hours=5,seconds=68) d = a - datetime.timedelta(days=69,minutes=89) print(c,d) # 2019-07-28 00:00:08 2019-07-29 00:50:03 # 2995 # 89395.0 # 1 # 2019-07-28 05:01:16 2019-05-19 22:31:08
The above is the detailed content of What are the methods for converting time format in Python?. For more information, please follow other related articles on the PHP Chinese website!

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.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 Chinese version
Chinese version, very easy to use

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Notepad++7.3.1
Easy-to-use and free code editor