Table of Contents
1. Basic usage
2. Add judgment conditions after the recycle statement
>>> map(lambda x: x*2, range(1,8))
When you need to get a matrix with 3 rows and 5 columns, it is very simple:

python list parsing

Jun 27, 2017 am 09:09 AM
python list parse

List parsing, mainly used to dynamically create lists

This article mainly talks about the usage of lambda, map(), and filter() combined with list parsing statements

List The basic syntax of parsing is: [expr for iter_var in iterable]

The core of this statement is the for loop, which iterates all entries of the iterable object. The preceding expr is applied to each member of the sequence, and the final result value is the list produced by the expression.

1. Basic usage

Let’s take an example

Test it in idle:

>>> [i for i in range(0,8)]

[0,1,2,3,4,5,6,7]

where i is expr in basic syntax It is also iter_val; in another way, we perform an operation on the value inside and multiply all members by 2

>>> [i*2 for i in range(0,8)]

[0, 2, 4, 6, 8, 10, 12, 14]

This is a list parsing written completely in accordance with the basic syntax

2. Add judgment conditions after the recycle statement

Extended version syntax: [expr for iter_val in iterable if cond_expr]

We can also expand and add some statements after it , filter the list; for example, we only need the number in this value that is divisible by 2

>>> [i for i in range(1,8) if i%2 == 0]
[2, 4, 6]

This kind of statement is similar to using filter, so we can also use python’s built-in filter function to achieve the same value

>> ;> l = filter(lambda x:x%2==0, range(1,8))
>>> for i in l:
i


2
4
6

But I found no, there are some differences, because I did not print out the list directly. why? Because the return value of filter is a generator, the generator cannot know all the values. It can only get the next value through iteration

3. Map is used to achieve the same results as list parsing

>>> map(lambda x: x*2, range(1,8))

[2, 4, 6, 8, 10, 12, 14]

Using it can get the same effect as [x * 2 for x in range(1,8)], but use the latter More efficient than map()

4. Generate matrix

When you need to get a matrix with 3 rows and 5 columns, it is very simple:

>>> [(x,y) for x in range(0,3) for y in range(0,5)]

[(0, 0), (0, 1), ( 0, 2), (0, 3), (0, 4),


(1, 0), (1, 1), (1, 2), (1, 3), (1, 4),

(2, 0), (2, 1), (2, 2), (2, 3), (2, 4)]

You can also find more information on reference list parsing in PEP 202

The above is the detailed content of python list parsing. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PHP and Python: Code Examples and Comparison PHP and Python: Code Examples and Comparison Apr 15, 2025 am 12:07 AM

PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

Python vs. JavaScript: Community, Libraries, and Resources Python vs. JavaScript: Community, Libraries, and Resources Apr 15, 2025 am 12:16 AM

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

How to run programs in terminal vscode 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.

Can visual studio code be used in python 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.

Detailed explanation of docker principle Detailed explanation of docker principle Apr 14, 2025 pm 11:57 PM

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

Is the vscode extension malicious? 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.

Can vs code run in Windows 8 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.

Python: Automation, Scripting, and Task Management Python: Automation, Scripting, and Task Management Apr 16, 2025 am 12:14 AM

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

See all articles