- Blog Categories
- Software Development Projects and Ideas
- 12 Computer Science Project Ideas
- 28 Beginner Software Projects
- Top 10 Engineering Project Ideas
- Top 10 Easy Final Year Projects
- Top 10 Mini Projects for Engineers
- 25 Best Django Project Ideas
- Top 20 MERN Stack Project Ideas
- Top 12 Real Time Projects
- Top 6 Major CSE Projects
- 12 Robotics Projects for All Levels
- Java Programming Concepts
- Abstract Class in Java and Methods
- Constructor Overloading in Java
- StringBuffer vs StringBuilder
- Java Identifiers: Syntax & Examples
- Types of Variables in Java Explained
- Composition in Java: Examples
- Append in Java: Implementation
- Loose Coupling vs Tight Coupling
- Integrity Constraints in DBMS
- Different Types of Operators Explained
- Career and Interview Preparation in IT
- Top 14 IT Courses for Jobs
- Top 20 Highest Paying Languages
- 23 Top CS Interview Q&A
- Best IT Jobs without Coding
- Software Engineer Salary in India
- 44 Agile Methodology Interview Q&A
- 10 Software Engineering Challenges
- Top 15 Tech's Daily Life Impact
- 10 Best Backends for React
- Cloud Computing Reference Models
- Web Development and Security
- Find Installed NPM Version
- Install Specific NPM Package Version
- Make API Calls in Angular
- Install Bootstrap in Angular
- Use Axios in React: Guide
- StrictMode in React: Usage
- 75 Cyber Security Research Topics
- Top 7 Languages for Ethical Hacking
- Top 20 Docker Commands
- Advantages of OOP
- Data Science Projects and Applications
- 42 Python Project Ideas for Beginners
- 13 Data Science Project Ideas
- 13 Data Structure Project Ideas
- 12 Real-World Python Applications
- Python Banking Project
- Data Science Course Eligibility
- Association Rule Mining Overview
- Cluster Analysis in Data Mining
- Classification in Data Mining
- KDD Process in Data Mining
- Data Structures and Algorithms
- Binary Tree Types Explained
- Binary Search Algorithm
- Sorting in Data Structure
- Binary Tree in Data Structure
- Binary Tree vs Binary Search Tree
- Recursion in Data Structure
- Data Structure Search Methods: Explained
- Binary Tree Interview Q&A
- Linear vs Binary Search
- Priority Queue Overview
- Python Programming and Tools
- Top 30 Python Pattern Programs
- List vs Tuple
- Python Free Online Course
- Method Overriding in Python
- Top 21 Python Developer Skills
- Reverse a Number in Python
- Switch Case Functions in Python
- Info Retrieval System Overview
- Reverse a Number in Python
- Real-World Python Applications
- Data Science Careers and Comparisons
- Data Analyst Salary in India
- Data Scientist Salary in India
- Free Excel Certification Course
- Actuary Salary in India
- Data Analyst Interview Guide
- Pandas Interview Guide
- Tableau Filters Explained
- Data Mining Techniques Overview
- Data Analytics Lifecycle Phases
- Data Science Vs Analytics Comparison
- Artificial Intelligence and Machine Learning Projects
- Exciting IoT Project Ideas
- 16 Exciting AI Project Ideas
- 45+ Interesting ML Project Ideas
- Exciting Deep Learning Projects
- 12 Intriguing Linear Regression Projects
- 13 Neural Network Projects
- 5 Exciting Image Processing Projects
- Top 8 Thrilling AWS Projects
- 12 Engaging AI Projects in Python
- NLP Projects for Beginners
- Concepts and Algorithms in AIML
- Basic CNN Architecture Explained
- 6 Types of Regression Models
- Data Preprocessing Steps
- Bagging vs Boosting in ML
- Multinomial Naive Bayes Overview
- Gini Index for Decision Trees
- Bayesian Network Example
- Bayes Theorem Guide
- Top 10 Dimensionality Reduction Techniques
- Neural Network Step-by-Step Guide
- Technical Guides and Comparisons
- Make a Chatbot in Python
- Compute Square Roots in Python
- Permutation vs Combination
- Image Segmentation Techniques
- Generative AI vs Traditional AI
- AI vs Human Intelligence
- Random Forest vs Decision Tree
- Neural Network Overview
- Perceptron Learning Algorithm
- Selection Sort Algorithm
- Career and Practical Applications in AIML
- AI Salary in India Overview
- Biological Neural Network Basics
- Top 10 AI Challenges
- Production System in AI
- Top 8 Raspberry Pi Alternatives
- Top 8 Open Source Projects
- 14 Raspberry Pi Project Ideas
- 15 MATLAB Project Ideas
- Top 10 Python NLP Libraries
- Naive Bayes Explained
- Digital Marketing Projects and Strategies
- 10 Best Digital Marketing Projects
- 17 Fun Social Media Projects
- Top 6 SEO Project Ideas
- Digital Marketing Case Studies
- Coca-Cola Marketing Strategy
- Nestle Marketing Strategy Analysis
- Zomato Marketing Strategy
- Monetize Instagram Guide
- Become a Successful Instagram Influencer
- 8 Best Lead Generation Techniques
- Digital Marketing Careers and Salaries
- Digital Marketing Salary in India
- Top 10 Highest Paying Marketing Jobs
- Highest Paying Digital Marketing Jobs
- SEO Salary in India
- Brand Manager Salary in India
- Content Writer Salary Guide
- Digital Marketing Executive Roles
- Career in Digital Marketing Guide
- Future of Digital Marketing
- MBA in Digital Marketing Overview
- Digital Marketing Techniques and Channels
- 9 Types of Digital Marketing Channels
- Top 10 Benefits of Marketing Branding
- 100 Best YouTube Channel Ideas
- YouTube Earnings in India
- 7 Reasons to Study Digital Marketing
- Top 10 Digital Marketing Objectives
- 10 Best Digital Marketing Blogs
- Top 5 Industries Using Digital Marketing
- Growth of Digital Marketing in India
- Top Career Options in Marketing
- Interview Preparation and Skills
- 73 Google Analytics Interview Q&A
- 56 Social Media Marketing Q&A
- 78 Google AdWords Interview Q&A
- Top 133 SEO Interview Q&A
- 27+ Digital Marketing Q&A
- Digital Marketing Free Course
- Top 9 Skills for PPC Analysts
- Movies with Successful Social Media Campaigns
- Marketing Communication Steps
- Top 10 Reasons to Be an Affiliate Marketer
- Career Options and Paths
- Top 25 Highest Paying Jobs India
- Top 25 Highest Paying Jobs World
- Top 10 Highest Paid Commerce Job
- Career Options After 12th Arts
- Top 7 Commerce Courses Without Maths
- Top 7 Career Options After PCB
- Best Career Options for Commerce
- Career Options After 12th CS
- Top 10 Career Options After 10th
- 8 Best Career Options After BA
- Projects and Academic Pursuits
- 17 Exciting Final Year Projects
- Top 12 Commerce Project Topics
- Top 13 BCA Project Ideas
- Career Options After 12th Science
- Top 15 CS Jobs in India
- 12 Best Career Options After M.Com
- 9 Best Career Options After B.Sc
- 7 Best Career Options After BCA
- 22 Best Career Options After MCA
- 16 Top Career Options After CE
- Courses and Certifications
- 10 Best Job-Oriented Courses
- Best Online Computer Courses
- Top 15 Trending Online Courses
- Top 19 High Salary Certificate Courses
- 21 Best Programming Courses for Jobs
- What is SGPA? Convert to CGPA
- GPA to Percentage Calculator
- Highest Salary Engineering Stream
- 15 Top Career Options After Engineering
- 6 Top Career Options After BBA
- Job Market and Interview Preparation
- Why Should You Be Hired: 5 Answers
- Top 10 Future Career Options
- Top 15 Highest Paid IT Jobs India
- 5 Common Guesstimate Interview Q&A
- Average CEO Salary: Top Paid CEOs
- Career Options in Political Science
- Top 15 Highest Paying Non-IT Jobs
- Cover Letter Examples for Jobs
- Top 5 Highest Paying Freelance Jobs
- Top 10 Highest Paying Companies India
- Career Options and Paths After MBA
- 20 Best Careers After B.Com
- Career Options After MBA Marketing
- Top 14 Careers After MBA In HR
- Top 10 Highest Paying HR Jobs India
- How to Become an Investment Banker
- Career Options After MBA - High Paying
- Scope of MBA in Operations Management
- Best MBA for Working Professionals India
- MBA After BA - Is It Right For You?
- Best Online MBA Courses India
- MBA Project Ideas and Topics
- 11 Exciting MBA HR Project Ideas
- Top 15 MBA Project Ideas
- 18 Exciting MBA Marketing Projects
- MBA Project Ideas: Consumer Behavior
- What is Brand Management?
- What is Holistic Marketing?
- What is Green Marketing?
- Intro to Organizational Behavior Model
- Tech Skills Every MBA Should Learn
- Most Demanding Short Term Courses MBA
- MBA Salary, Resume, and Skills
- MBA Salary in India
- HR Salary in India
- Investment Banker Salary India
- MBA Resume Samples
- Sample SOP for MBA
- Sample SOP for Internship
- 7 Ways MBA Helps Your Career
- Must-have Skills in Sales Career
- 8 Skills MBA Helps You Improve
- Top 20+ SAP FICO Interview Q&A
- MBA Specializations and Comparative Guides
- Why MBA After B.Tech? 5 Reasons
- How to Answer 'Why MBA After Engineering?'
- Why MBA in Finance
- MBA After BSc: 10 Reasons
- Which MBA Specialization to choose?
- Top 10 MBA Specializations
- MBA vs Masters: Which to Choose?
- Benefits of MBA After CA
- 5 Steps to Management Consultant
- 37 Must-Read HR Interview Q&A
- Fundamentals and Theories of Management
- What is Management? Objectives & Functions
- Nature and Scope of Management
- Decision Making in Management
- Management Process: Definition & Functions
- Importance of Management
- What are Motivation Theories?
- Tools of Financial Statement Analysis
- Negotiation Skills: Definition & Benefits
- Career Development in HRM
- Top 20 Must-Have HRM Policies
- Project and Supply Chain Management
- Top 20 Project Management Case Studies
- 10 Innovative Supply Chain Projects
- Latest Management Project Topics
- 10 Project Management Project Ideas
- 6 Types of Supply Chain Models
- Top 10 Advantages of SCM
- Top 10 Supply Chain Books
- What is Project Description?
- Top 10 Project Management Companies
- Best Project Management Courses Online
- Salaries and Career Paths in Management
- Project Manager Salary in India
- Average Product Manager Salary India
- Supply Chain Management Salary India
- Salary After BBA in India
- PGDM Salary in India
- Top 7 Career Options in Management
- CSPO Certification Cost
- Why Choose Product Management?
- Product Management in Pharma
- Product Design in Operations Management
- Industry-Specific Management and Case Studies
- Amazon Business Case Study
- Service Delivery Manager Job
- Product Management Examples
- Product Management in Automobiles
- Product Management in Banking
- Sample SOP for Business Management
- Video Game Design Components
- Top 5 Business Courses India
- Free Management Online Course
- SCM Interview Q&A
- Fundamentals and Types of Law
- Acceptance in Contract Law
- Offer in Contract Law
- 9 Types of Evidence
- Types of Law in India
- Introduction to Contract Law
- Negotiable Instrument Act
- Corporate Tax Basics
- Intellectual Property Law
- Workmen Compensation Explained
- Lawyer vs Advocate Difference
- Law Education and Courses
- LLM Subjects & Syllabus
- Corporate Law Subjects
- LLM Course Duration
- Top 10 Online LLM Courses
- Online LLM Degree
- Step-by-Step Guide to Studying Law
- Top 5 Law Books to Read
- Why Legal Studies?
- Pursuing a Career in Law
- How to Become Lawyer in India
- Career Options and Salaries in Law
- Career Options in Law India
- Corporate Lawyer Salary India
- How To Become a Corporate Lawyer
- Career in Law: Starting, Salary
- Career Opportunities: Corporate Law
- Business Lawyer: Role & Salary Info
- Average Lawyer Salary India
- Top Career Options for Lawyers
- Types of Lawyers in India
- Steps to Become SC Lawyer in India
- Tutorials
- C Tutorials
- Recursion in C: Fibonacci Series
- Checking String Palindromes in C
- Prime Number Program in C
- Implementing Square Root in C
- Matrix Multiplication in C
- Understanding Double Data Type
- Factorial of a Number in C
- Structure of a C Program
- Building a Calculator Program in C
- Compiling C Programs on Linux
- Java Tutorials
- Handling String Input in Java
- Determining Even and Odd Numbers
- Prime Number Checker
- Sorting a String
- User-Defined Exceptions
- Understanding the Thread Life Cycle
- Swapping Two Numbers
- Using Final Classes
- Area of a Triangle
- Skills
- Software Engineering
- JavaScript
- Data Structure
- React.js
- Core Java
- Node.js
- Blockchain
- SQL
- Full stack development
- Devops
- NFT
- BigData
- Cyber Security
- Cloud Computing
- Database Design with MySQL
- Cryptocurrency
- Python
- Digital Marketings
- Advertising
- Influencer Marketing
- Search Engine Optimization
- Performance Marketing
- Search Engine Marketing
- Email Marketing
- Content Marketing
- Social Media Marketing
- Display Advertising
- Marketing Analytics
- Web Analytics
- Affiliate Marketing
- MBA
- MBA in Finance
- MBA in HR
- MBA in Marketing
- MBA in Business Analytics
- MBA in Operations Management
- MBA in International Business
- MBA in Information Technology
- MBA in Healthcare Management
- MBA In General Management
- MBA in Agriculture
- MBA in Supply Chain Management
- MBA in Entrepreneurship
- MBA in Project Management
- Management Program
- Consumer Behaviour
- Supply Chain Management
- Financial Analytics
- Introduction to Fintech
- Introduction to HR Analytics
- Fundamentals of Communication
- Art of Effective Communication
- Introduction to Research Methodology
- Mastering Sales Technique
- Business Communication
- Fundamentals of Journalism
- Economics Masterclass
- Free Courses
Python Split() Function: Syntax, Parameters, Examples
Updated on 31 October, 2024
57.56K+ views
• 13 min read
Table of Contents
- What is Python String Split Function?
- Syntax of String Split Function in Python
- What is the Need for Py Split Function?
- How to Work With Split Functions in Python?
- Example of Python Split Method
- What are Split Parameters in Python?
- How to Parse a String in Python Using the split() Method?
- How to Use the split() Method With Parameters?
- Applications of Split Function
- What are the Different Ways of Using the Split Function?
- Miscellaneous Tips on Split Function
- Conclusion
The split function is a string manipulation tool in Python. A string is a collection or array of characters in a sequence that is written inside single quotes, double quotes, or triple quotes; a character ‘a’ in Python is also considered a string value with length 1. The Py split function is used when we need to break down a large string into smaller strings.
Strings represent Unicode character values and are mutable in nature which means the value of a string cannot be altered after it has been declared.
An example of declaring and displaying a Python split function:
name = “Python”
print(name[0])
Although we cannot change a string after the declaration, we can split a string into different strings using a variety of different ways in Python.
In this article, we will take a deeper dive and understand how to use Split is in Python. We will begin by understanding what the Split function does, what the need is for such a function and how we work with this function. We will then take a look at Split parameters in Python and the different ways of using the Python Split function along with available Python Programming training options. Also, check out the use of Self Variable in Python!
What is Python String Split Function?
If you have worked on the concatenation of strings that are used to merge or combine different strings into one, the split function performs just the opposite of it. The function scans through a string and separates it when it encounters a separator which has been specified before.
However, if the function does not find any defined separator, it uses white space by default.
Syntax of String Split Function in Python
The syntax of the Split function is as follows:
string.split(separator,max)
The separator is a character that has been pre-defined and it gets placed between each variable in the output. The split function depends on the value of the separator variable.
What is the Need for Py Split Function?
The Python string Split function returns a list of words after separating the string or line with the help of a delimiter string such as the comma ( , ) character.
Some of the merits of using Split function in Python are listed as follows:
- It is useful in situations where you need to break down a large string into smaller strings.
- If the separator is not present within the split function, the white spaces are considered as separators.
- The split function helps to analyze and deduce conclusions easily.
- It is also useful in decoding strings encrypted in some manner.
How to Work With Split Functions in Python?
Strings variables in Python contain numeric and alphanumeric data which are used to store data directories or display different messages. They are very useful tools for programmers working in Python.
The .split() method is a beneficial tool for manipulating strings. It returns a list of strings after the main string is separated by a delimiter. The method returns one or more new strings and the substrings also get returned in the list datatype.
Example of Python Split Method
A simple example of the split function is as follows:
x = ‘red,orange,yellow’
x.split(“,”)
[‘red’, ‘orange’, ‘yellow’]
Here, we have declared a string variable x with three strings. When the split function is implemented with a comma ( , ) as a separator, the strings get separated with commas in between them.
What are Split Parameters in Python?
The python slicing string function analyses through a string and separates it whenever the program comes across a pre-defined separator. It depends on mainly three different parameters to optimize the execution of the program:
Parameters | Description |
Separator | It instructs Python where to break the string. It works as a delimiter and the string is separated depending upon the pre-defined separator. It is optional which means if the separator is not specified in split, the function uses white space as the default separator. However, if the separator is specified as a string value, the output will be an empty string. |
Maxsplit | It specifies the number of times the string can be broken up. It is also optional and it’s default value is -1 which denotes that there are no limits on the number of times a string can be split. If the maxsplit is not defined in the split function, the entire string is scanned and Python separates it whenever a delimiter is encountered. |
Return | It returns a list of strings after the split function breaks the string by the specified separator. |
How to Parse a String in Python Using the split() Method?
Python split() function is a useful tool for parsing strings by dividing them into a list of substrings based on a provided delimiter. The split() method, by default, employs whitespace as a delimiter, making it ideal for breaking sentences into words. You can also use a custom delimiter, such as a comma or hyphen, to parse texts. Furthermore, the approach allows you to limit the amount of splits, which is useful when you only require a portion of the string. Overall, split() provides a simple and effective approach to manage string parsing in Python, making it a vital tool for data manipulation.
1. Python String split() Method
In Python, the split() function divides a text into a list of substrings using a provided delimiter.
Example 1: Demonstrate How the split() Function Works [with Output]
When the split() method is invoked without any arguments, it utilizes whitespace as the default delimiter to split the string into separate words.
# Example 1: Basic Usage of split() Method
text = "Hello, world! Welcome to Python."
words = text.split()
print(words)
Output:
['Hello,', 'world!', 'Welcome', 'to', 'Python.']
Example 2: Demonstrate How the split() Function Works on Specifying Maxsplit [with Output]
In this example, the split() method is used with two arguments: the delimiter ", " and a maxsplit value of 2. This signifies that the string will be split at the first two instances of the delimiter, producing a list of three elements.
# Example 2: Using split() with Maxsplit
line = "one, two, three, four, five"
parts = line.split(", ", 2)
print(parts)
Output
['one', 'two', 'three, four, five']
2. split() Return Value
The split() function in Python returns a list of substrings formed by splitting the original text using the supplied delimiter. If no delimiter is given, it separates on whitespace.
Example 1: How Does split() Work in Python?
When used without any inputs, the split() method splits the string into a list of words with whitespace as the default delimiter. For example, use text.split() on the string "Hello, world!". Welcome to Python." returns ['Hello,', 'World!', 'Welcome', 'to', 'Python.'].
Example 2: How Does split() Work When maxsplit is Specified?
When maxsplit is set, split() restricts the number of splits to the supplied value. For example, line.split(", ", 2)on the string "one, two, three, four, five" returns ['one', 'two', 'three, four, five'], which splits the string at the first two instances of the delimiter.
How to Use the split() Method Without Parameters?
To utilize the split() method without passing any parameters, simply call it on a string. This splits the string at every whitespace and removes any excess spaces. Here's an example.
# Example without parameters
text = "Welcome to Upgrad."
words = text.split()
print(words) # Output- ['Welcome', 'to', 'Upgrad.']
How to Use the split() Method With Parameters?
To utilize the split() method with parameters, provide a delimiter and, optionally, a maxsplit value. The delimiter specifies where the string must split, while maxsplit restricts the number of splits. Here's an example.
# Example with parameters
line = "Welcome, to, Python, blog"
parts = line.split(", ", 2)
print(parts) # Output - ['Welcome', 'to', 'Python, blog']
Applications of Split Function
- Web Scraping: The split() method extracts useful information from HTML or web content by splitting strings for web scraping purposes. It is critical for extracting content from HTML tags or parsing URLs for domain names or parameters to automate data extraction.
- Data Parsing and Transformation: The split() method parses structured data, such as CSV files, into fields for examination or storage. This transformation turns raw string data into database-compatible organized formats.
- Text Processing: The split() function helps with text processing by allowing tokenization, which divides sentences into words or phrases for analysis such as word frequency counts or keyword extraction. It also helps to normalize text data so that it may be processed consistently.
- Configuration and Log File Analysis: The split() method in log file analysis divides lines into components to retrieve entries or detect patterns. This is useful for investigating, system monitoring, and reviewing logs for anomalies.
- Data Cleaning and Preprocessing: The split() method helps in preprocessing raw text data by removing undesired letters, spaces, and punctuation. It is necessary to sanitize text before analyzing or modeling.
- User Input Handling: The split() function parses user input strings to validate or process commands from forms or command-line interfaces, thereby improving user engagement.
- Custom Data Parsing: The split() method allows you to parse strings using custom delimiters or patterns, adapting to a wide range of parsing requirements in specialized applications, such as proprietary data formats or domain-specific rules.
What are the Different Ways of Using the Split Function?
Python consists of several different ways by which we can implement the Split function. The different techniques are explained below:
Python consists of several different ways by which we can implement the Split function. You can learn all such advanced techniques with our advanced Python Developer course as well.
A Python split() function can be used in different ways. They are:
- Splitting String by Space
- Splitting String on first occurrence
- Splitting a file into a list
- Splitting a String by newline character (\n)
- Splitting a String by tab (\t)
- Splitting a String by comma (,)
- Splitting a String with multiple delimiters
- Splitting a String into a list
- Splitting a String by hash (#)
- Splitting a String using maxsplit parameter
- Splitting a String into an array of characters
- Splitting a String using substring
The different techniques are explained below:
1. Splitting String by Space
The split() method in Python splits the string on whitespace if no argument is specified in the function. An example of splitting a string without an argument is shown below:
str = “Python is cool”
print(str.split())
The output of the above code is as follows:
[‘Python’, ‘is’, ‘cool’]
In the example above, we have declared variable str with a string value. You can see that we have not defined any arguments in the Split function, so the string gets split with whitespaces.
2. Splitting String on first occurrence
When we split a string based on the first occurrence of a character, it results in two substrings – the first substring contains the characters before the separator and the second substring contains the character after the separator.
An example of splitting a string on the first occurrence of a character is shown below:
str = “abcabc”
print(str.split(c))
The output of the above code is as follows:
[‘ab’, ‘abc’]
Here, we have declared str with a string value “abcabc”. The split function is implemented with separator as “c” and maxsplit value is taken as 1. Whenever the program encounters “c” in the string, it separates the string into two substrings – the first string contains characters before “c” and the second one contains characters after “c”.
3. Splitting a file into a list
When you want to split a file into a list, the result turns out to be another list wherein each of the elements is a line of your file. Consider you have a file that contains two lines “First line\nSecond Line”. The resulting output of the split function will be [ “First Line”, “Second line”]. You can perform a file split using the Python in-built function splitlines().
Consider you have a file named “sample.txt” which contains two lines with two strings in each line respectively – “Hi there”, “You are learning Python”.
An example of splitting “sample.txt” into a list is shown below:
f = open(“sample.txt”, “r”)
info = f.read()
print(info.splitlines())
f.close()
The output of the above code is as follows:
[‘Hi there’, ‘You are learning Python’]
We have a file “sample.txt” which is opened in read (“r”) mode using the open() function. Then, we have called f.read() which returns the entire file as a string. The splitlines() function is implemented and it splits the file into two different substrings which are the two lines contained in “sample.txt”.
4. Splitting a String by newline character (\n)
You can split a string using the newline character (\n) in Python. We will take a string which will be separated by the newline character and then split the string. The newline character will act as the separator in the Python Split function.
An example of splitting a string by newline character is shown below:
str = “Welcome\nto\nPython\nSplit”
print(str.split(‘\n’))
The output of the above code is as follows:
[‘Welcome’, ‘to’, ‘Python’, ‘Split’]
Here, we have declared a variable str with a string that contains newline characters (\n) in between the original string.The Split function is implemented with “\n” as the separator. Whenever the function sees a newline character, it separates the string into substrings.
You can also perform split by newline character with the help of the splitlines() function.
5. Splitting a String by tab (\t)
Tabs are considered as escape characters “\t” in text (.txt) files. When we split a string by tabs, the Split function separates the string at each tab and the result is a list of substrings. The escape character “\t” is used as the separator in the Split function.
An example of splitting a string by tab is shown below:
str = “Python\tis\ta\tscripting\tlanguage”
print(str.split(“\t”))
The output of the above code is as follows:
['Python', 'is', 'a', 'scripting', 'language']
Here, the variable str is declared with a string with tabs (“\t”). The Split function is executed with “\t” as the separator. Whenever the function finds an escape character, it splits the string and the output comes out to be a list of substrings.
6. Splitting a String by comma (,)
We can also split a string by commas (“,”) where commas act as the delimiter in the Split function. The result is a list of strings that are contained in between the commas in the original string.
An example of splitting a string by commas is shown below:
str = “Python,was,released,in,1991”
print(str.split(“,”))
The output of the above code is as follows:
['Python', 'was', 'released', 'in', '1991']
Here, the variable str is declared with a string with commas (“,”) in between them. The Split function is implemented with “,” as the separator. Whenever the function sees a comma character, it separates the string and the output is a list of substrings between the commas in str.
7. Splitting a String with multiple delimiters
You can split a string using multiple delimiters by putting different characters as separator in the Split function. A delimiter is one or more characters in a sequence that are used to denote the bounds between regions in a text. A comma character (“,”) or a colon (“:”) is an example of a delimiter. A string with multiple delimiters can be split using the re.split() function.
An example of splitting a string with multiple delimiters is shown below:
import re
str = 'Python\nis; an*easy\nlanguage'
print(re.split('; |, |\*|\n',str))
The output of the above code is as follows:
['Python', 'is', 'an', 'easy', 'language']
n the example above, we import the built-in module re which imports the libraries and functions of Regular Expressions. The variable str is declared with a string with multiple delimiters like newline (\n), semicolon (;), or an asterisk (*). There.split() function is implemented with different delimiters as separator and the output is a list of strings excluding the delimiters.
8. Splitting a String into a list
When you split a string into a list around a delimiter, the output comes out to be a partitioned list of substrings. You can take any delimiter as a separator in the Split function to separate the string into a list.
An example of splitting a string into a list is shown below:
str = “New York-Texas-Colombia”
print(str.split(“-”))
The output of the above code is as follows:
['New York', 'Texas', 'Colombia']
The variable str is declared with a string with dash characters( - ) in between and the Split function is executed with a dash ( - ) as the separator. The function splits the string whenever it encounters a dash and the result is a list of substrings.
9. Splitting a String by hash (#)
You can also split any string with a hash character (#) as the delimiter. The Split function takes a hash (#) as the separator and then splits the string at the point where a hash is found. The result is a list of substrings.
An example of splitting a string using a hash is shown below:
str = “Python#isa#multi-purpose#language”
print(str.split(“#”))
The output of the above code is as follows:
['Python', 'is a', 'multi-purpose', 'language']
The variable str is declared with a string with hash characters( # ) in between them. The Split function is executed with a hash as the separator. The function splits the string wherever it finds a hash ( # ) and the result is a list of substrings excluding the hash character.
10. Splitting a String using maxsplit parameter
The maxsplit parameter defines the maximum number of splits the function can do. You can perform split by defining a value to the maxsplit parameter. If you put whitespaces as separator and the maxsplit value to be 2, the Split function splits the string into a list with maximum two items.
An example of splitting a string using the maxsplit parameter is shown below:
subjects = “Maths Science English History Geography”
print(subjects.split(“ ”,2))
The output of the above code is as follows:
['Maths', 'Science', 'English History Geography']
Here, you can see the variable str is declared with a string of different subject names. The Split function takes whitespace (“ ”) as a separator and the maximum number of splits or maxsplit is 2. The first two strings “Maths” and “Science” are split and the rest of them are in a single string.
11. Splitting a String into an array of characters
You can separate a string into an array of characters with the help of the list() function. The result is a list where each of the element is a specific character.
An example of splitting a string into an array of characters is shown below:
str = “PYTHON”
print(list(str))
The output of the above code is as follows:
['P', 'Y', 'T', 'H', 'O', 'N']
Here, the variable str is a string. The string is separated into individual characters using the list() function and the result is a list of elements with each character of the string.
12. Splitting a String using substring
You can obtain a string after or before a specific substring with the split() function. A specific string is given as the separator in the Split function and the result comes out to be the strings before and after that particular string.
An example of splitting a string using substring is shown below:
fruits = “Orange Banana Mango Apple Cherry”
print(fruits.split(“Mango”))
The output of the above code is as follows:
['Orange Banana ', ' Apple Cherry']
Here, the variable fruits is a string with names of different fruits. We take the string “Mango” as the separator in the Split function. Whenever the function finds the string “Mango”, it splits the whole string into two substrings – one substring before “Mango” and another substring after “Mango”.
Miscellaneous Tips on Split Function
Since we have now reached at the end of the article, let me give you some useful tips on the Split function:
- If the maxsplit is not defined in the function and there are enough delimiters in the string, the result will have a length of maxsplit +1.
- If you want to recombine a string that has been already split in Python, you can perform the concatenation of strings.
- The Python Split function only works on string variables. If you come across any problem with working with split, you can force the compiler to treat the variable as a string with str(x).
Conclusion
The .split() function in Python is a very useful tool to split strings into chunks depending upon a delimiter which could be anything starting from characters or numbers or even text. You can also specify the number of splits you want the function to perform using maxsplit, which is used to extract a specific value or text from any given string using list or Arrays.
Here are the key areas you should have gained a good understanding on by reading this article:
- What is a String.
- What is Split and why is it needed.
- How does a Python Split command function work.
- What are the Split parameters.
- What are the many different ways of Splitting strings in Python
- Important tips on Split
- how to split string in Python
You have learned about the Python split function and the different ways to implement in your program. With this, you can begin to work on any project which requires the use of the Split.
If you wish to extend your knowledge about Strings and Split functions in Python, you can refer to the official documentation of Python. Don’t forget to check out the remaining tutorials made freely available to you. Enrolling in the upGrad Python Programming training program will help you get certified Python skills that you need to excel in your career.
Master essential concepts with our trending Data Science Courses. Scroll through the programs below to find the right one for you.
Explore our Popular Data Science Courses
Boost your career with our Data science skill pages. Explore the various skills to take your expertise to the next level.
Top Data Science Skills to Learn to upskill
SL. No | Top Data Science Skills to Learn | |
1 |
Data Analysis Online Courses | Inferential Statistics Online Courses |
2 |
Hypothesis Testing Online Courses | Logistic Regression Online Courses |
3 |
Linear Regression Courses | Linear Algebra for Analysis Online Courses |
Frequently Asked Questions (FAQs)
1. What is split () function in Python?
The split() function in python helps us split strings based on a separating delimeter. By default, the delimeter is a space character but we can provide another value such as a "," or a ";" in the split() function as well.
2. How do you implement a split function in Python?
Each string in Python can directly use the split function. The syntax is as follows,
string.split()
For example, if a string "temp;temp" is assigned to a variable x, x.split(";") will give us a list of ['temp', 'temp'].
3. How do you split a list in Python?
Splitting a list is slightly tricky in Python but not impossible. Basically, to split a list (or any iterable), we first use the len() function to get the length of the list. Then, we floor divide it by 2 to get the middle index, and then we assign the list to two variables with the middle as index.
For example,
x = [12, 48, 42]
l = len(x)
middle = l // 2
first, second = x[:middle], x[middle:]
4. How do you split a word in a string in python?
To split a word within a string in Python, use the split() function. This method divides the string into a list of substrings using a provided delimiter, such as whitespace or a punctuation character.