How to get timestamp in Python
How to obtain timestamps in Python: 1. Use the `time()` function of the `time` module; 2. Use the `timestamp()` function of the `datetime` module; 3. Use the `calendar` module `timegm()` function; 4. Use the third-party library `arrow`.
#Python is a powerful programming language that provides many built-in functions and modules for working with dates and times. One of the common needs is to get the timestamp of the current time. A timestamp is a number that represents time, usually calculated as a certain unit of time (seconds, milliseconds, etc.) from a specific date (usually January 1, 1970).
In Python, we can use the `time` module to get timestamps. The following are some common methods:
1. Use the `time()` function of the `time` module
`time()` in the `time` module The function returns the timestamp of the current time in seconds.
import time timestamp = time.time() print(timestamp)
Output:
1623202016.3350923
2. Use the `timestamp()` function of the `datetime` module
The `datetime` module also provides access Timestamp method. Datetime objects can be converted to timestamps using the `timestamp()` function of the `datetime` module.
import datetime now = datetime.datetime.now() # 获取当前时间 timestamp = now.timestamp() print(timestamp)
Output:
1623202016.3350923
3. Use the `timegm()` function of the `calendar` module
The `calendar` module provides some processing Useful functions for date and time. The `timegm()` function can accept a time tuple parameter similar to `struct_time` and return the corresponding timestamp.
import calendar import time now = time.gmtime() # 获取当前时间的时间元组 timestamp = calendar.timegm(now) print(timestamp)
Output:
1623202016
4. Use the third-party library `arrow`
`arrow` is a popular third-party library that provides More convenient and easy-to-use date and time processing functions. You can use `arrow` to get the timestamp.
First, you need to install the `arrow` library:
pip install arrow
Then use `arrow` in the code to get the timestamp.
import arrow timestamp = arrow.now().timestamp() print(timestamp)
Output:
1623202016
No matter which method is used, the timestamp obtained is a floating point number, and other functions can be used to convert it to the required format. For example, the timestamp can be converted to local time using the `localtime()` function of the `time` module.
import time timestamp = time.time() local_time = time.localtime(timestamp) print(local_time)
Output:
time.struct_time(tm_year=2021, tm_mon=6, tm_mday=9, tm_hour=21, tm_min=53, tm_sec=36, tm_wday=2, tm_yday=160, tm_isdst=0)
In short, Python provides us with several simple and flexible methods to get the timestamp of the current time. Choose the appropriate method according to your needs and easily obtain the required timestamp.
The above is the detailed content of How to get timestamp 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

AI Hentai Generator
Generate AI Hentai for free.

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



Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

It is impossible to view MongoDB password directly through Navicat because it is stored as hash values. How to retrieve lost passwords: 1. Reset passwords; 2. Check configuration files (may contain hash values); 3. Check codes (may hardcode passwords).

As a data professional, you need to process large amounts of data from various sources. This can pose challenges to data management and analysis. Fortunately, two AWS services can help: AWS Glue and Amazon Athena.

The steps to start a Redis server include: Install Redis according to the operating system. Start the Redis service via redis-server (Linux/macOS) or redis-server.exe (Windows). Use the redis-cli ping (Linux/macOS) or redis-cli.exe ping (Windows) command to check the service status. Use a Redis client, such as redis-cli, Python, or Node.js, to access the server.

To read a queue from Redis, you need to get the queue name, read the elements using the LPOP command, and process the empty queue. The specific steps are as follows: Get the queue name: name it with the prefix of "queue:" such as "queue:my-queue". Use the LPOP command: Eject the element from the head of the queue and return its value, such as LPOP queue:my-queue. Processing empty queues: If the queue is empty, LPOP returns nil, and you can check whether the queue exists before reading the element.

Question: How to view the Redis server version? Use the command line tool redis-cli --version to view the version of the connected server. Use the INFO server command to view the server's internal version and need to parse and return information. In a cluster environment, check the version consistency of each node and can be automatically checked using scripts. Use scripts to automate viewing versions, such as connecting with Python scripts and printing version information.

Navicat's password security relies on the combination of symmetric encryption, password strength and security measures. Specific measures include: using SSL connections (provided that the database server supports and correctly configures the certificate), regularly updating Navicat, using more secure methods (such as SSH tunnels), restricting access rights, and most importantly, never record passwords.