Time is undoubtedly one of the most critical factors in all aspects of life, therefore, recording and tracking time becomes very important. In Python, you can track dates and times through its built-in libraries. Today we will introduce about date and time in Python, and learn how to use the time and datetime modules to find and modify dates and times.
Module for processing date and time in Python
Python provides time and datetime modules, which can help us easily obtain and modify date and time. Let us take a look at them one by one.
time module
This module includes all the time related functions required to perform various operations using time, it also allows us to access the clock types required for multiple purposes.
Built-in functions:
Please take a look at the following table, which describes some important built-in functions of the time module.
| ##function | Description |
| time() | Returns the number of seconds elapsed since the epoch |
| ctime() | takes the elapsed seconds as parameter and returns the current date and time |
| sleep () | Stops the execution of a thread for the given duration |
| The function either takes this class as a parameter or returns it as output | |
| Takes the number of seconds elapsed since the epoch as a parameter and returns the date and time in the form of time. struct_time format|
Similar to localtime(), returns the time. The reciprocal of struct_time | |
mktime() |
ocaltime() in UTC format. Gets a tuple containing 9 parameters and returns the number of seconds elapsed since epoch pas output |
asctime() |
Get a tuple containing 9 parameters and return a string representing the same parameters |
strftime() |
Get a tuple containing 9 parameters and return a string representing the same parameters according to the format code used |
strptime() |
Analyze the string and return it in time. struct_time format |
Code Formatting:
Before explaining each function with examples, let’s look at all the legal ways to format code:
Code |
Description |
Example |
%a |
##Weekday (short version) | Mon |
| %A | Weekday (full version) | Monday |
| %b | Month (short version) | Aug
|
| %B | Month (full version) | August |
| %c | Local date and time version | Tue Aug 23 1:31:40 2019 |
%d |
Depicts the day of the month (01-31) |
07 |
%f |
Microseconds |
000000-999999 |
%H |
Hour (00-23) |
15 |
%I |
Hour (00-11) |
3 |
%j |
Day of the year |
235 |
%m |
Month Number (01-12) |
07 |
%M |
Minutes (00-59) |
44 |
%p |
AM / PM |
AM |
%S |
Seconds (00-59) |
23 |
%U |
Week number of the year starting from Sunday (00-53) |
12 |
%w |
Weekday number of the week |
Monday (1) |
%W |
Week number of the year starting from Monday (00-53) |
34 |
%x |
Local date |
06/07/22 |
%X |
Local time |
12:30:45 |
%y |
Year (short version) |
22 |
%Y |
Year (full version) |
2022 |
%z |
UTC offset |
0100 |
%Z |
Timezone |
CST |
%% |
% Character |
% |
struct_time class has the following attributes:
| ##Attribute | Value | |
| tm_year | ##0000, .., 2019, …, 9999
|
|
| 1-12 | ||
| 1-31 | ||
| 0-23 | ||
| 0-59 | ||
| 0-61 | ##tm_wday | |
0-6 (Monday is 0) |
##tm_yday | 1-366 |
tm_isdst |
0, 1, -1 (daylight savings time, -1 when unknown) |
Now let’s look at a few examples of the time module.
Find dates and times using the time module
Getting dates and times in Python is easy using the built-in functions and formatting code described in the table above.
import time
#time
a=time.time() #total seconds since epoch
print("Seconds since epoch :",a,end='n----------n')
#ctime
print("Current date and time:")
print(time.ctime(a),end='n----------n')
#sleep
time.sleep(1) #execution will be delayed by one second
#localtime
print("Local time :")
print(time.localtime(a),end='n----------n')
#gmtime
print("Local time in UTC format :")
print(time.gmtime(a),end='n-----------n')
#mktime
b=(2019,8,6,10,40,34,1,218,0)
print("Current Time in seconds :")
print( time.mktime(b),end='n----------n')
#asctime
print("Current Time in local format :")
print( time.asctime(b),end='n----------n')
#strftime
c = time.localtime() # get struct_time
d = time.strftime("%m/%d/%Y, %H:%M:%S", c)
print("String representing date and time:")
print(d,end='n----------n')
#strptime
print("time.strptime parses string and returns it in struct_time format :n")
e = "06 AUGUST, 2019"
f = time.strptime(e, "%d %B, %Y")
print(f)Output:
Seconds since epoch : 1565070251.7134922 ———- Current date and time: Tue Aug 6 11:14:11 2019 ———- Local time : time.struct_time(tm_year=2019, tm_mon=8, tm_mday=6, tm_hour=11, tm_min=14, tm_sec=11, tm_wday=1, tm_yday=218, tm_isdst=0) ———- Local time in UTC format : time.struct_time(tm_year=2019, tm_mon=8, tm_mday=6, tm_hour=5, tm_min=44, tm_sec=11, tm_wday=1, tm_yday=218, tm_isdst=0) ———– Current Time in seconds : 1565068234.0 ———- Current Time in local format : Tue Aug 6 10:40:34 2019 ———- String representing date and time: 08/06/2019, 11:14:12 ———- time.strptime parses string and returns it in struct_time format : time.struct_time(tm_year=2019, tm_mon=8, tm_mday=6, tm_hour=0, tm_min=0, tm_sec=0, tm_wday=1, tm_yday=218, tm_isdst=-1)
datetime module
Similar to the time module, the datetime module contains all the methods necessary to handle dates and times.
Built-in functions:
The following table introduces some important functions in this module:
| ##function | Description |
| Constructor of datetime | |
| Returns the current local date and time | |
| Returns the current local date and time | |
| Take the year, month, and day as parameters to create the corresponding date | |
| Takes hours, minutes, seconds, microseconds and tzinfo as parameters and creates the corresponding date | ##date.fromtimestamp() |
Convert seconds to return the corresponding date and time | |
timedelta() |
它是不同日期或时间之间的差异(持续时间) |
使用 datetime 查找日期和时间
现在,让我们尝试实现这些函数,以使用datetime模块在 Python 中查找日期和时间。
import datetime
#datetime constructor
print("Datetime constructor:n")
print(datetime.datetime(2019,5,3,8,45,30,234),end='n----------n')
#today
print("The current date and time using today :n")
print(datetime.datetime.today(),end='n----------n')
#now
print("The current date and time using today :n")
print(datetime.datetime.now(),end='n----------n')
#date
print("Setting date :n")
print(datetime.date(2019,11,7),end='n----------n')
#time
print("Setting time :n")
print(datetime.time(6,30,23),end='n----------n')
#date.fromtimestamp
print("Converting seconds to date and time:n")
print(datetime.date.fromtimestamp(23456789),end='n----------n')
#timedelta
b1=datetime.timedelta(days=30, seconds=0, microseconds=0, milliseconds=0, minutes=0, hours=4, weeks=8)
b2=datetime.timedelta(days=3, seconds=0, microseconds=0, milliseconds=0, minutes=0, hours=4, weeks=8)
b3=b2-b1
print(type(b3))
print("The resultant duration = ",b3,end='n----------n')
#attributes
a=datetime.datetime.now() #1
print(a)
print("The year is :",a.year)
print("Hours :",a.hour)Output:
Datetime constructor: 2019-05-03 08:45:30.000234 ———- The current date and time using today : 2019-08-06 13:09:56.651691 ———- The current date and time using today : 2019-08-06 13:09:56.651691 ———- Setting date : 2019-11-07 ———- Setting time : 06:30:23 ———- Converting seconds to date and time: 1970-09-29 ———- <class ‘datetime.timedelta’> The resultant duration = -27 days, 0:00:00 ———- 2019-08-06 13:09:56.653694 The year is : 2019 Hours : 13
The above is the detailed content of Super summary of Python date and time usage. For more information, please follow other related articles on the PHP Chinese website!
Learning Python: Is 2 Hours of Daily Study Sufficient?Apr 18, 2025 am 12:22 AMIs it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.
Python for Web Development: Key ApplicationsApr 18, 2025 am 12:20 AMKey applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code
Python vs. C : Exploring Performance and EfficiencyApr 18, 2025 am 12:20 AMPython is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.
Python in Action: Real-World ExamplesApr 18, 2025 am 12:18 AMPython's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.
Python's Main Uses: A Comprehensive OverviewApr 18, 2025 am 12:18 AMPython is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.
The Main Purpose of Python: Flexibility and Ease of UseApr 17, 2025 am 12:14 AMPython's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.
Python: The Power of Versatile ProgrammingApr 17, 2025 am 12:09 AMPython is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.
Learning Python in 2 Hours a Day: A Practical GuideApr 17, 2025 am 12:05 AMYes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

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

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

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

Atom editor mac version download
The most popular open source editor

Dreamweaver Mac version
Visual web development tools







