Skip to ContentGo to accessibility pageKeyboard shortcuts menu
OpenStax Logo
Introduction to Python Programming

9.5 List comprehensions

Introduction to Python Programming9.5 List comprehensions

Learning objectives

By the end of this section you should be able to

  • Identify the different components of a list comprehension statement.
  • Implement filtering using list comprehension.

List comprehensions

A list comprehension is a Python statement to compactly create a new list using a pattern.

The general form of a list comprehension statement is shown below.

list_name = [expression for loop_variable in iterable]

list_name refers to the name of a new list, which can be anything, and the for is the for loop keyword. An expression defines what will become part of the new list. loop_variable is an iterator, and iterable is an object that can be iterated, such as a list or string.

Example 9.5

Creating a new list with a list comprehension

A list comprehension shown below in the second code has the same effect as the regular for loop shown in the first code. The resultant list is [0, 1, 4, 9, 16, 25, 36, 49, 64, 81] in both cases.

Creating a list of squares using a for loop.

    # Create an empty List.
    squares_list = []

    # Add items to a list, as squares of numbers starting at 0 and ending at 9.
    for i in range(10):
      squares_list.append(i*i)
    

Creating a list of squares using the list comprehension.

    square_list = [i*i for i in range(10)]
    

The expression i*i is applied for each value of the loop_variable i.

Example 9.6

A Dr. Seuss poem

A list comprehension can be used to create a list based on another list. In line 6, the for loop is written on the list poem_lines.

1
# Create a list of words
2
words_list = ["one", "two", "red", "blue"]
3
4
# Use a list comprehension to create a new list called poem_lines
5
# Inserting the word "fish" attached to each word in words_list
6
poem_lines = [w + " fish" for w in words_list]
7
for line in poem_lines:
8
  print(line)

The above code's output is:

    one fish
    two fish
    red fish
    blue fish
    

Concepts in Practice

List comprehensions

1.
The component of a list comprehension defining an element of the new list is the _____.
  1. expression
  2. loop_variable
  3. container
2.
What would be the contents of b_list after executing the code below?
a_list = [1, 2, 3, 4, 5]
b_list = [i+2 for i in a_list]
  1. [1, 2, 3, 4, 5]
  2. [0, 1, 2, 3, 4]
  3. [3, 4, 5, 6, 7]
3.
What does new_list contain after executing the statement below?
new_list = [i//3 for i in range(1, 15, 3)]
  1. [0.3333333333333333, 1.3333333333333333, 2.3333333333333335, 3.3333333333333335, 4.333333333333333]
  2. [0, 1, 2, 3, 4]
  3. [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]

Filtering using list comprehensions

List comprehensions can be used to filter items from a given list. A condition is added to the list comprehension.

list_name = [expression for loop_variable in container if condition]

In a filter list comprehension, an element is added into list_name only if the condition is met.

Checkpoint

Filtering a list

Concepts in Practice

Filtering using list comprehensions

For each code using list comprehension, select the correct resultant list in new_list.

4.
my_list = [21, -1, 50, -9, 300, -50, 2]

new_list = [m for m in my_list if m < 0]
  1. [21, 50, 300, 2]
  2. [21, -1, 50, -9, 300, -50, 2]
  3. [-1, -9, -50]
5.
my_string = "This is a home."

new_list = [i for i in my_string if i in 'aeiou']
  1. [i, i, a, o, e]
  2. ['i', 'i'', 'a', 'o', 'e']
  3. Error
6.
new_list = [r for r in range (0, 21, 2) if r%2 != 0]
  1. []
  2. [21]
  3. [1, 3, 5, 7, 9, 11, 13, 15, 17, 19]

Try It

Selecting five-letter words

Write a program that creates a list of only five-letter words from the given list and prints the new list.

Try It

Books starting with "A"

Write a program that selects words that begin with an "A" in the given list. Make sure the new list is then sorted in dictionary order. Finally, print the new sorted list.

Citation/Attribution

This book may not be used in the training of large language models or otherwise be ingested into large language models or generative AI offerings without OpenStax's permission.

Want to cite, share, or modify this book? This book uses the Creative Commons Attribution License and you must attribute OpenStax.

Attribution information
  • If you are redistributing all or part of this book in a print format, then you must include on every physical page the following attribution:
    Access for free at https://openstax.org/books/introduction-python-programming/pages/1-introduction
  • If you are redistributing all or part of this book in a digital format, then you must include on every digital page view the following attribution:
    Access for free at https://openstax.org/books/introduction-python-programming/pages/1-introduction
Citation information

© Mar 15, 2024 OpenStax. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution License . The OpenStax name, OpenStax logo, OpenStax book covers, OpenStax CNX name, and OpenStax CNX logo are not subject to the Creative Commons license and may not be reproduced without the prior and express written consent of Rice University.

This book utilizes the OpenStax Python Code Runner. The code runner is developed by Wiley and is All Rights Reserved.