search
HomeBackend DevelopmentPython TutorialPYTHON压平嵌套列表的简单实现

list 是 Python 中使用最频繁的数据类型, 标准库里面有丰富的函数可以使用。

不过,如果把多维列表转换成一维列表(不知道这种需求多不多),还真不容易找到好用的函数,

要知道Ruby、Mathematica、Groovy中可是有flatten的啊。

如果列表是维度少的、规则的,还算好办

例如:

li=[[1,2],[3,4],[5,6]]
print [j for i in li for j in i]
#or
from itertools import chain
print list(chain(*li))
#or
a=[[1,2],[3,4],[5,6]]
t=[]
[t.extend(i) for i in a]
print t
#or
print sum(li,[])

对于复杂一些的,如:li=[1,[2],[[3]],[[4,[5],6]]],上面的方法就不好使了,得换个方法了,
从结构上看像是树状的,很容易联想到了目录的遍历,于是就有了下面的做法:

def flat(tree):
  res = []
  for i in tree:
    if isinstance(i, list):
      res.extend(flat(i))
    else:
      res.append(i)
  return res

另一种思路,嵌套列表无非就是有很多成对的方括号,一维的列表只有一对,把中间的去掉就行了,转换为字符串就好办了

def flatten(seq):
  s=str(seq).replace('[', '').replace(']', '') #当然也可以用正则
  return [eval(x) for x in s.split(',') if x.strip()]

不过,这种做法对于列表中出现包含"["或"]"的字符串时就无能为力了,需要改进.

其他方法:

国外某论坛上见到的,同样是递归,一行搞定

flat=lambda L: sum(map(flat,L),[]) if isinstance(L,list) else [L]

下面这个方法用到Tkinter模块,在邮件列表看到的方法。估计很多同学还不知道它能办到吧,也算是python自带。注意,windows版的python都自带Tkinter模块的,linux默认则没有

from Tkinter import _flatten

li=reduce(lambda *x:list(x),range(2,6),[1])
print li
print _flatten(li)
#Out:
#[[[[[1], 2], 3], 4], 5]
#(1, 2, 3, 4, 5)
#对元组同样适用

还有一些第三方模块提供这样的功能,如sympy、numpy、pipe等

对于嵌套的元组,无需多说了吧,只需稍加改动就可以了

以上这篇PYTHON压平嵌套列表的简单实现就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持脚本之家。

Statement
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
Learning Python: Is 2 Hours of Daily Study Sufficient?Learning Python: Is 2 Hours of Daily Study Sufficient?Apr 18, 2025 am 12:22 AM

Is 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 ApplicationsPython for Web Development: Key ApplicationsApr 18, 2025 am 12:20 AM

Key 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 EfficiencyPython vs. C : Exploring Performance and EfficiencyApr 18, 2025 am 12:20 AM

Python 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 ExamplesPython in Action: Real-World ExamplesApr 18, 2025 am 12:18 AM

Python'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 OverviewPython's Main Uses: A Comprehensive OverviewApr 18, 2025 am 12:18 AM

Python 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 UseThe Main Purpose of Python: Flexibility and Ease of UseApr 17, 2025 am 12:14 AM

Python'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 ProgrammingPython: The Power of Versatile ProgrammingApr 17, 2025 am 12:09 AM

Python 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 GuideLearning Python in 2 Hours a Day: A Practical GuideApr 17, 2025 am 12:05 AM

Yes, 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.

See all articles

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 Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
1 months agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
1 months agoBy尊渡假赌尊渡假赌尊渡假赌
Will R.E.P.O. Have Crossplay?
1 months agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

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