


What is the difference and usage between time and datetime in python
1. Two ways to represent time in Python:
Timestamp: offset in seconds relative to 1970.1.1 00:00:00, unique
Time tuple struct_time: 9 elements in total> tm_year: year 1-12> tm_mon: month 1-12> tm_mday: day 1-31> tm_hour: hour 0-23> tm_min: minutes 0-59> tm_sec: seconds 0-59> tm_wday: week 0-6 (0 means Sunday)> tm_day: day of the year 1-366> tm_isdst: whether it is daylight saving, the default is - 1
1. time.time() #当前时间戳, 没参数,唯一值
2. time.sleep(secs) #暂停几秒
3. time.gmtime(secs) #无参得到当前格林尼治时间,有时间戳参数就转为格林尼治结构时间
4. time.localtime(secs) #无参得到local结构化时间, 有时间戳参数就转为local结构化时间
print(time.localtime()) # time.struct_time(tm_year=2022, tm_mon=10, tm_mday=20, tm_hour=11, tm_min=20, tm_sec=44, tm_wday=3, tm_yday=293, tm_isdst=0)
print(time.localtime(13912345678)) # time.struct_time(tm_year=2410, tm_mon=11, tm_mday=12, tm_hour=20, tm_min=27, tm_sec=58, tm_wday=4, tm_yday=316, tm_isdst=0)
5. time.strftime(format, t) #将结构化时间转化为自定义的格式化时间
print(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime())) #北京时间
print(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()+60*60))) #东京时间
6. time.strptime(string, format) # 将自定义时间(字符串)转化为结构时间
print(time.strptime("2023-1-11 1:2:3", "%Y-%m-%d %H:%M:%S")) # 将日常格式化时间转为结构化时间
print(time.strptime("2023-1-11", "%Y-%m-%d")) # 将日常格式化时间转为结构化时间
7. time.ctime(secs) # 将一个时间戳转变为一个结构化时间
print(time.ctime(123)) # Thu Jan 1 08:02:03 1970
print(time.ctime(time.time() + 60 * 60)) # Thu Oct 20 11:28:32 2023
8. time.mktime(t) # 将所给结构化时间转化为时间戳
print(time.mktime(time.localtime(time.time()))) # 1666233100.0
print(time.time()) # 1666233100.5075898 # 两行的效果是一样的
# 求一个指定时间的时间戳
print(time.mktime(time.strptime('2023-2-3', '%Y-%m-%d'))) # 1580659200.0
3. datetimedatetime is much more advanced than time. It can be understood that datetime is encapsulated based on time. Provides more practical functions, mainly including the following categories:
- timedelta: mainly used to calculate time span
- time: only focuses on Time
- date: only focus on date
- datetime: both time and date
time_now = datatime.datetime.now() #实例化 datetime.year datetime.month datetime.day datetime.hour datetime.minute datetime.second datetime.microsecond datetime.tzinfo():时区 datetime.date():返回date对象 datetime.time():返回time对象 datetime.replace(name=value) datetime.timetuple():返回time.struct_time 对象 datetime.strftime(format):按照format进行格式化输出 #除了实例本身具有的方法,类本身也提供了很多好用的方法: datetime.strptime(date_string,format): 给定时间格式解析字符串 datetime.now([tz]):当前时间默认 localtime datetime.today():当前时间2.datetime.timedelta date.timedelta(3), go forward 3 days
date.timedelta(-3), go back 3 days
date.timedelta(hour = 3), go forward 3 hours
date.timedelta(minutes = 3) ,advance 3 minutes
import time import datetime dt = datetime.datetime.now() print(dt.timestamp()) print(dt.year) print(dt.month) print(dt.day) print(dt.hour) print(dt.minute) print(dt.second) print(dt.microsecond) print(dt.tzinfo) print(dt.time()) print(dt.date()) print(dt.strftime("%Y-%m-%d %H:%M:%S")) # 2023-1-31 13:42:16 print(datetime.datetime.strptime('2023-1-20 1:1:1', "%Y-%m-%d %H:%M:%S")) delta = datetime.timedelta(11) print(dt + delta) print((dt + delta).strftime("%Y-%m-%d %H:%M:%S")) print((dt - delta).strftime("%Y-%m-%d %H:%M:%S")) print('....') print(datetime.datetime.now()) #返回 2023-1-20 13:40:29.151057 print(datetime.date.fromtimestamp(time.time()) ) # 时间戳直接转成日期格式 2023-1-20 print(datetime.datetime.now()) print(datetime.datetime.now() + datetime.timedelta(3)) #当前时间+3天 print(datetime.datetime.now() + datetime.timedelta(-3)) #当前时间-3天 print(datetime.datetime.now() + datetime.timedelta(hours=3)) #当前时间+3小时 print(datetime.datetime.now() + datetime.timedelta(minutes=30)) #当前时间+30分 print(datetime.date.fromtimestamp(time.time())) # 2023-1-20
The above is the detailed content of What is the difference and usage between time and datetime in python. For more information, please follow other related articles on the PHP Chinese website!

Article discusses impossibility of tuple comprehension in Python due to syntax ambiguity. Alternatives like using tuple() with generator expressions are suggested for creating tuples efficiently.(159 characters)

The article explains modules and packages in Python, their differences, and usage. Modules are single files, while packages are directories with an __init__.py file, organizing related modules hierarchically.

Article discusses docstrings in Python, their usage, and benefits. Main issue: importance of docstrings for code documentation and accessibility.

Article discusses lambda functions, their differences from regular functions, and their utility in programming scenarios. Not all languages support them.

Article discusses break, continue, and pass in Python, explaining their roles in controlling loop execution and program flow.

The article discusses the 'pass' statement in Python, a null operation used as a placeholder in code structures like functions and classes, allowing for future implementation without syntax errors.

Article discusses passing functions as arguments in Python, highlighting benefits like modularity and use cases such as sorting and decorators.

Article discusses / and // operators in Python: / for true division, // for floor division. Main issue is understanding their differences and use cases.Character count: 158


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 Mac version
God-level code editing software (SublimeText3)

Zend Studio 13.0.1
Powerful PHP integrated development environment

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

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

SublimeText3 English version
Recommended: Win version, supports code prompts!
