


The content this article brings to you is about Python splitting strings (with code) for any number of delimiters. It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you. .
1. Requirements
We need to split the string into different fields, but the delimiters (and the spaces between the delimiters) are in the entire string Not consistent.2. Solution
The split() method of the string object can only handle very simple situations, and does not support multiple delimiters. There is nothing you can do about the space situation. When some more flexible functions are needed, the re.split() method should be used:
import re line='abc def ; ghi, jkl,mno, pkr' #分隔符:分号,都逗号,空格符,前后可以跟着任意数量的额外空格 result=re.split(r'\s*[;,\s]\s*',line) print(result)
Result:
['abc', 'def', 'ghi', 'jkl', 'mno', 'pkr']
3. Analysis
re.split() is useful because multiple patterns can be specified for separators. For example, in the above solution, the delimiters are: semicolon, comma, space, and can be followed by any number of additional spaces. Like the result obtained by str.split(), the final result is a field list.
When using re.split(), you need to be careful whether the capturing group in the regular expression pattern is included in parentheses.
If a capturing group is used, the matching text will also be included in the final result. For example, consider the following case:
import re line='abc def ; ghi, jkl,mno, pkr' result=re.split(r'\s*(;|,|\s)\s*',line) print(result)
Result:
['abc', ' ', 'def', ';', 'ghi', ',', 'jkl', ',', 'mno', ',', 'pkr']
It may also be useful to obtain the delimiter in a specific context. For example, to improve the output of a string with a delimiter character:
import re line='abc def ; ghi, jkl,mno, pkr' result=re.split(r'\s*(;|,|\s)\s*',line) values=result[::2] delimiters=result[1::2]+[''] print(values) print(delimiters) last=''.join(v+d for v,d in zip(values,delimiters)) print(last)
Result:
['abc', 'def', 'ghi', 'jkl', 'mno', 'pkr'] [' ', ';', ',', ',', ',', ''] abc def;ghi,jkl,mno,pkr
If you don't want to see delimiter characters in the results, but still want to use symbols for regex patterns Grouping, please make sure to use a non-capturing group, specified in the form of (?:...). Examples are as follows:
import re line='abc def ; ghi, jkl,mno, pkr' result=re.split(r'\s*(?:;|,|\s)\s*',line) print(result)
Result:
['abc', 'def', 'ghi', 'jkl', 'mno', 'pkr']
The above is the detailed content of Python splits strings for any number of delimiters (code attached). For more information, please follow other related articles on the PHP Chinese website!

Create multi-dimensional arrays with NumPy can be achieved through the following steps: 1) Use the numpy.array() function to create an array, such as np.array([[1,2,3],[4,5,6]]) to create a 2D array; 2) Use np.zeros(), np.ones(), np.random.random() and other functions to create an array filled with specific values; 3) Understand the shape and size properties of the array to ensure that the length of the sub-array is consistent and avoid errors; 4) Use the np.reshape() function to change the shape of the array; 5) Pay attention to memory usage to ensure that the code is clear and efficient.

BroadcastinginNumPyisamethodtoperformoperationsonarraysofdifferentshapesbyautomaticallyaligningthem.Itsimplifiescode,enhancesreadability,andboostsperformance.Here'showitworks:1)Smallerarraysarepaddedwithonestomatchdimensions.2)Compatibledimensionsare

ForPythondatastorage,chooselistsforflexibilitywithmixeddatatypes,array.arrayformemory-efficienthomogeneousnumericaldata,andNumPyarraysforadvancednumericalcomputing.Listsareversatilebutlessefficientforlargenumericaldatasets;array.arrayoffersamiddlegro

Pythonlistsarebetterthanarraysformanagingdiversedatatypes.1)Listscanholdelementsofdifferenttypes,2)theyaredynamic,allowingeasyadditionsandremovals,3)theyofferintuitiveoperationslikeslicing,but4)theyarelessmemory-efficientandslowerforlargedatasets.

ToaccesselementsinaPythonarray,useindexing:my_array[2]accessesthethirdelement,returning3.Pythonuseszero-basedindexing.1)Usepositiveandnegativeindexing:my_list[0]forthefirstelement,my_list[-1]forthelast.2)Useslicingforarange:my_list[1:5]extractselemen

Article discusses impossibility of tuple comprehension in Python due to syntax ambiguity. Alternatives like using tuple() with generator expressions are suggested for creating tuples efficiently.(159 characters)

The article explains modules and packages in Python, their differences, and usage. Modules are single files, while packages are directories with an __init__.py file, organizing related modules hierarchically.

Article discusses docstrings in Python, their usage, and benefits. Main issue: importance of docstrings for code documentation and accessibility.


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

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

SublimeText3 English version
Recommended: Win version, supports code prompts!

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 Chinese version
Chinese version, very easy to use

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.
