How to Write a Python List of Lists to a CSV File
Have a complex list of lists in Python? Need to export it to a clean, comma-separated values (CSV) file? Here's how:
Python's built-in csv module simplifies this task:
import csv
with open('out.csv', 'w', newline='') as f:
writer = csv.writer(f)
writer.writerows(a)
This code assumes your list is named a. The csv.writer() function handles the conversion, while newline='' ensures no extra line breaks are added.
To customize the output format, explore the optional parameters available in csv.writer(). With this approach, you can effortlessly transform your Python data into a well-structured CSV file.
The above is the detailed content of How to Export a Python List of Lists to a CSV File?. For more information, please follow other related articles on the PHP Chinese website!
How to Use Python to Find the Zipf Distribution of a Text FileMar 05, 2025 am 09:58 AMThis tutorial demonstrates how to use Python to process the statistical concept of Zipf's law and demonstrates the efficiency of Python's reading and sorting large text files when processing the law. You may be wondering what the term Zipf distribution means. To understand this term, we first need to define Zipf's law. Don't worry, I'll try to simplify the instructions. Zipf's Law Zipf's law simply means: in a large natural language corpus, the most frequently occurring words appear about twice as frequently as the second frequent words, three times as the third frequent words, four times as the fourth frequent words, and so on. Let's look at an example. If you look at the Brown corpus in American English, you will notice that the most frequent word is "th
How Do I Use Beautiful Soup to Parse HTML?Mar 10, 2025 pm 06:54 PMThis article explains how to use Beautiful Soup, a Python library, to parse HTML. It details common methods like find(), find_all(), select(), and get_text() for data extraction, handling of diverse HTML structures and errors, and alternatives (Sel
Image Filtering in PythonMar 03, 2025 am 09:44 AMDealing with noisy images is a common problem, especially with mobile phone or low-resolution camera photos. This tutorial explores image filtering techniques in Python using OpenCV to tackle this issue. Image Filtering: A Powerful Tool Image filter
How to Perform Deep Learning with TensorFlow or PyTorch?Mar 10, 2025 pm 06:52 PMThis article compares TensorFlow and PyTorch for deep learning. It details the steps involved: data preparation, model building, training, evaluation, and deployment. Key differences between the frameworks, particularly regarding computational grap
Introduction to Parallel and Concurrent Programming in PythonMar 03, 2025 am 10:32 AMPython, a favorite for data science and processing, offers a rich ecosystem for high-performance computing. However, parallel programming in Python presents unique challenges. This tutorial explores these challenges, focusing on the Global Interprete
How to Implement Your Own Data Structure in PythonMar 03, 2025 am 09:28 AMThis tutorial demonstrates creating a custom pipeline data structure in Python 3, leveraging classes and operator overloading for enhanced functionality. The pipeline's flexibility lies in its ability to apply a series of functions to a data set, ge
Serialization and Deserialization of Python Objects: Part 1Mar 08, 2025 am 09:39 AMSerialization and deserialization of Python objects are key aspects of any non-trivial program. If you save something to a Python file, you do object serialization and deserialization if you read the configuration file, or if you respond to an HTTP request. In a sense, serialization and deserialization are the most boring things in the world. Who cares about all these formats and protocols? You want to persist or stream some Python objects and retrieve them in full at a later time. This is a great way to see the world on a conceptual level. However, on a practical level, the serialization scheme, format or protocol you choose may determine the speed, security, freedom of maintenance status, and other aspects of the program
Mathematical Modules in Python: StatisticsMar 09, 2025 am 11:40 AMPython's statistics module provides powerful data statistical analysis capabilities to help us quickly understand the overall characteristics of data, such as biostatistics and business analysis. Instead of looking at data points one by one, just look at statistics such as mean or variance to discover trends and features in the original data that may be ignored, and compare large datasets more easily and effectively. This tutorial will explain how to calculate the mean and measure the degree of dispersion of the dataset. Unless otherwise stated, all functions in this module support the calculation of the mean() function instead of simply summing the average. Floating point numbers can also be used. import random import statistics from fracti
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
DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
SublimeText3 Mac version
God-level code editing software (SublimeText3)
PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool
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.
Zend Studio 13.0.1
Powerful PHP integrated development environment
