Skip to content
geeksforgeeks
  • Tutorials
    • Python
    • Java
    • Data Structures & Algorithms
    • ML & Data Science
    • Interview Corner
    • Programming Languages
    • Web Development
    • CS Subjects
    • DevOps And Linux
    • School Learning
    • Practice Coding Problems
  • Courses
    • DSA to Development
    • Get IBM Certification
    • Newly Launched!
      • Master Django Framework
      • Become AWS Certified
    • For Working Professionals
      • Interview 101: DSA & System Design
      • Data Science Training Program
      • JAVA Backend Development (Live)
      • DevOps Engineering (LIVE)
      • Data Structures & Algorithms in Python
    • For Students
      • Placement Preparation Course
      • Data Science (Live)
      • Data Structure & Algorithm-Self Paced (C++/JAVA)
      • Master Competitive Programming (Live)
      • Full Stack Development with React & Node JS (Live)
    • Full Stack Development
    • Data Science Program
    • All Courses
  • Python Tutorial
  • Interview Questions
  • Python Quiz
  • Python Glossary
  • Python Projects
  • Practice Python
  • Data Science With Python
  • Python Web Dev
  • DSA with Python
  • Python OOPs
Open In App
Next Article:
Python - Reversing a Tuple
Next article icon

Remove empty tuples from a list - Python

Last Updated : 19 Feb, 2025
Comments
Improve
Suggest changes
Like Article
Like
Report

The task of removing empty tuples from a list in Python involves filtering out tuples that contain no elements i.e empty. For example, given a list like [(1, 2), (), (3, 4), (), (5,)], the goal is to remove the empty tuples () and return a new list containing only non-empty tuples: [(1, 2), (3, 4), (5,)].

Using list comprehension

List comprehension is the most efficient way to remove empty tuples from a list. It creates a new list in a single line by filtering out empty tuples, making the code clear, concise, and fast.

Python
a = [(1, 2), (), (3, 4), (), (5,)]  res = [t for t in a if t] print(res) 

Output
[(1, 2), (3, 4), (5,)] 

Explanation : list comprehension iterates over each element t in a, adding only non-empty tuples to res by filtering out those that evaluate to False.

Table of Content

  • Using filter()
  • Using itertools compress
  • Using for loop

Using filter()

filter() is a functional programming approach to remove empty tuples from a list. Using None as the first argument automatically filters out all falsy values, including empty tuples because empty tuples evaluate to False in Python.

Python
a = [(1, 2), (), (3, 4), (), (5,)]  res = list(filter(None, a)) print(res) 

Output
[(1, 2), (3, 4), (5,)] 

Explanation: list(filter(None, a)) filters out empty tuples from a by retaining only elements that evaluate to True, as empty tuples are False in Python.

Using itertools compress

compress() from the itertools module can remove empty tuples from a list by using a boolean mask. It creates a mask indicating whether each tuple is non-empty, and selects only the non-empty tuples based on the mask.

Python
from itertools import compress  a = [(1, 2), (), (3, 4), (), (5,)] res = list(compress(a, [bool(t) for t in a])) print(res) 

Output
[(1, 2), (3, 4), (5,)] 

Explanation: list(compress(a, [bool(t) for t in a])) uses compress() with a boolean mask to filter out empty tuples from a, returning only non-empty tuples in res.

Using for loop

This basic approach removes empty tuples from a list using a for loop and append(). It checks each tuple and appends only non-empty tuples to a new list, but it’s less efficient compared to modern alternatives like list comprehension.

Python
a = [(1, 2), (), (3, 4), (), (5,)] res = []   for t in a:     if t:         res.append(t)  print(res) 

Output
[(1, 2), (3, 4), (5,)] 

Explanation: for loop iterates over each tuple t in the list a, checks if t is non-empty evaluates to True and appends it to the list res.


Next Article
Python - Reversing a Tuple

C

chinmoy lenka
Improve
Article Tags :
  • Python
  • python-tuple
  • Python list-programs
Practice Tags :
  • python

Similar Reads

    Python Tuple Methods
    Python Tuples is an immutable collection of that are more like lists. Python Provides a couple of methods to work with tuples. In this article, we will discuss these two methods in detail with the help of some examples. Count() MethodThe count() method of Tuple returns the number of times the given
    3 min read
    Python Tuple - max() Method
    While working with tuples many times we need to find the maximum element in the tuple, and for this, we can also use max(). In this article, we will learn about the max() method used for tuples in Python. Example Tuple =( 4, 2, 5, 6, 7, 5) Input: max(Tuple) Output: 7 Explanation: The max() method re
    2 min read
    Python Tuple - min() Method
    While working with tuples many times we need to find the minimum element in the tuple, and for this, we can also use min(). In this article, we will learn about the min() method used for tuples in Python. Syntax of Tuple min() MethodSyntax: min(object) Parameters: object: Any iterable like Tuple, Li
    2 min read
    Python Tuple - index() Method
    While working with tuples many times we need to access elements at a certain index but for that, we need to know where exactly is that element, and here comes the use of the index() function. In this article, we will learn about the index() function used for tuples in Python. Example : The Index() m
    2 min read
    Python Tuple - len() Method
    While working with tuples many times we need to find the length of the tuple, and, instead of counting the number of elements with loops, we can also use Python len(). We will learn about the len() method used for tuples in Python. Example: Python3 Tuple =( 1, 0, 4, 2, 5, 6, 7, 5) print(len(Tuple))
    2 min read
    Python Tuple count() Method
    In this article, we will learn about the count() method used for tuples in Python. The count() method of a Tuple returns the number of times the given element appears in the tuple. Example Python3 tuple = (1, 2, 3, 1, 2, 3, 1, 2, 3) print(tuple.count(3)) Output : 3Python Tuple count() Method Syntax
    3 min read
    Remove empty tuples from a list - Python
    The task of removing empty tuples from a list in Python involves filtering out tuples that contain no elements i.e empty. For example, given a list like [(1, 2), (), (3, 4), (), (5,)], the goal is to remove the empty tuples () and return a new list containing only non-empty tuples: [(1, 2), (3, 4),
    3 min read
    Python - Reversing a Tuple
    We are given a tuple and our task is to reverse whole tuple. For example, tuple t = (1, 2, 3, 4, 5) so after reversing the tuple the resultant output should be (5, 4, 3, 2, 1).Using SlicingMost common and Pythonic way to reverse a tuple is by using slicing with a step of -1, here is how we can do it
    2 min read
    Python - Clearing a tuple
    Sometimes, while working with Records data, we can have a problem in which we may require to perform clearing of data records. Tuples, being immutable cannot be modified and hence makes this job tough. Let's discuss certain ways in which this task can be performed. Method #1 : Using list() + clear()
    4 min read
    Create a List of Tuples in Python
    The task of creating a list of tuples in Python involves combining or transforming multiple data elements into a sequence of tuples within a list. Tuples are immutable, making them useful when storing fixed pairs or groups of values, while lists offer flexibility for dynamic collections. For example
    3 min read
geeksforgeeks-footer-logo
Corporate & Communications Address:
A-143, 7th Floor, Sovereign Corporate Tower, Sector- 136, Noida, Uttar Pradesh (201305)
Registered Address:
K 061, Tower K, Gulshan Vivante Apartment, Sector 137, Noida, Gautam Buddh Nagar, Uttar Pradesh, 201305
GFG App on Play Store GFG App on App Store
Advertise with us
  • Company
  • About Us
  • Legal
  • Privacy Policy
  • In Media
  • Contact Us
  • Advertise with us
  • GFG Corporate Solution
  • Placement Training Program
  • Languages
  • Python
  • Java
  • C++
  • PHP
  • GoLang
  • SQL
  • R Language
  • Android Tutorial
  • Tutorials Archive
  • DSA
  • Data Structures
  • Algorithms
  • DSA for Beginners
  • Basic DSA Problems
  • DSA Roadmap
  • Top 100 DSA Interview Problems
  • DSA Roadmap by Sandeep Jain
  • All Cheat Sheets
  • Data Science & ML
  • Data Science With Python
  • Data Science For Beginner
  • Machine Learning
  • ML Maths
  • Data Visualisation
  • Pandas
  • NumPy
  • NLP
  • Deep Learning
  • Web Technologies
  • HTML
  • CSS
  • JavaScript
  • TypeScript
  • ReactJS
  • NextJS
  • Bootstrap
  • Web Design
  • Python Tutorial
  • Python Programming Examples
  • Python Projects
  • Python Tkinter
  • Python Web Scraping
  • OpenCV Tutorial
  • Python Interview Question
  • Django
  • Computer Science
  • Operating Systems
  • Computer Network
  • Database Management System
  • Software Engineering
  • Digital Logic Design
  • Engineering Maths
  • Software Development
  • Software Testing
  • DevOps
  • Git
  • Linux
  • AWS
  • Docker
  • Kubernetes
  • Azure
  • GCP
  • DevOps Roadmap
  • System Design
  • High Level Design
  • Low Level Design
  • UML Diagrams
  • Interview Guide
  • Design Patterns
  • OOAD
  • System Design Bootcamp
  • Interview Questions
  • Inteview Preparation
  • Competitive Programming
  • Top DS or Algo for CP
  • Company-Wise Recruitment Process
  • Company-Wise Preparation
  • Aptitude Preparation
  • Puzzles
  • School Subjects
  • Mathematics
  • Physics
  • Chemistry
  • Biology
  • Social Science
  • English Grammar
  • Commerce
  • World GK
  • GeeksforGeeks Videos
  • DSA
  • Python
  • Java
  • C++
  • Web Development
  • Data Science
  • CS Subjects
@GeeksforGeeks, Sanchhaya Education Private Limited, All rights reserved
We use cookies to ensure you have the best browsing experience on our website. By using our site, you acknowledge that you have read and understood our Cookie Policy & Privacy Policy
Lightbox
Improvement
Suggest Changes
Help us improve. Share your suggestions to enhance the article. Contribute your expertise and make a difference in the GeeksforGeeks portal.
geeksforgeeks-suggest-icon
Create Improvement
Enhance the article with your expertise. Contribute to the GeeksforGeeks community and help create better learning resources for all.
geeksforgeeks-improvement-icon
Suggest Changes
min 4 words, max Words Limit:1000

Thank You!

Your suggestions are valuable to us.

What kind of Experience do you want to share?

Interview Experiences
Admission Experiences
Career Journeys
Work Experiences
Campus Experiences
Competitive Exam Experiences