Backend Development
Python Tutorial
Detailed example of using arrow library to process time data in Python
Detailed example of using arrow library to process time data in Python
Although Python provides multiple built-in modules for manipulating date and time, sometimes they cannot meet our needs, so the following article mainly introduces how Python uses the arrow library to handle time data elegantly. Friends who need it can refer to relevant information. Let’s take a look below.
Preface
#Everyone should know that we have to deal with time many times, but when dealing with time in the Python standard library The module is actually not very user-friendly. Why do I say that? Because I believe that most people look up documents again and again almost every time when processing time data. For example, seemingly very basic operations such as time and text format conversion, time increase and decrease, etc., can be processed in Python. Not simple.
The most terrible thing is that there are actually two modules in the Python standard library that handle time, one is called time and the other is called datetime. They provide similar methods, but the two are completely different. It’s not over yet. There is also a module called calendar in the standard library, which is also used to handle time.
Today I won’t take you to understand the relationship between the three of them, because just because you remember it now doesn’t mean you won’t forget it in the future. Today's hero is a time processing library that is so elegant that I can't pass it up - arrow.
Introduction
arrow is a lightweight Python library that specializes in processing time and date. It provides a reasonable, The smart way to create, manipulate, format, and convert times and dates.
Installation
##
pip install arrow
Use
>>> import arrow # 获取当前时间 >>> utc = arrow.utcnow() >>> utc <Arrow [2017-05-11T21:23:58.970460+00:00]> # 调整时间 >>> utc = utc.shift(days=+1, hours=-1) >>> utc <Arrow [2017-05-12T20:23:58.970460+00:00]> # 修改时间 >>> utc.replace(hour=4, minute=40) <Arrow [2017-05-12T04:40:58.970460+00:00]> # 转换时区 >>> local = utc.to('US/Pacific') >>> local <Arrow [2017-05-11T13:23:58.970460-07:00]> # 从文本转为时间对象 >>> arrow.get('2017-05-11T21:23:58.970460+00:00') <Arrow [2017-05-11T21:23:58.970460+00:00]> >>> arrow.get(1367900664) <Arrow [2017-05-07T04:24:24+00:00]> >>> arrow.get('June was born in May 1980', 'MMMM YYYY') <Arrow [1980-05-01T00:00:00+00:00]> # 获取时间戳 >>> local.timestamp 1368303838 # 格式化输出 >>> local.format() '2017-05-11 13:23:58 -07:00' >>> local.format('YYYY-MM-DD HH:mm:ss') '2017-05-11 13:23:58' >>> local.humanize() 'an hour ago' # 转为标准库对象 >>> a.date() datetime.date(2017, 5, 7) >>> a.time() datetime.time(4, 38, 15, 447644)
Summary
I didn’t lie to you, did I? If your Python project requires processing time in the future, please decisively abandon the standard library, arrow will save you countless brain cells.The above is the detailed content of Detailed example of using arrow library to process time data in Python. For more information, please follow other related articles on the PHP Chinese website!
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
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
PHP and Python: Different Paradigms Explained
Apr 18, 2025 am 12:26 AM
PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.
Choosing Between PHP and Python: A Guide
Apr 18, 2025 am 12:24 AM
PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.
Python vs. JavaScript: The Learning Curve and Ease of Use
Apr 16, 2025 am 12:12 AM
Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.
PHP and Python: A Deep Dive into Their History
Apr 18, 2025 am 12:25 AM
PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.
Can vs code run in Windows 8
Apr 15, 2025 pm 07:24 PM
VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.
Can visual studio code be used in python
Apr 15, 2025 pm 08:18 PM
VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.
How to run programs in terminal vscode
Apr 15, 2025 pm 06:42 PM
In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.
Is the vscode extension malicious?
Apr 15, 2025 pm 07:57 PM
VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.
