Skip to main content

Python lambda Tutorial

Learn a quicker way of writing functions on the fly with lambda functions.
Aug 2020  · 3 min read

You can write your very own Python functions using the def keyword, function headers, docstrings, and function bodies. However, there's a quicker way to write functions on the fly, and these are called lambda functions because you use the keyword lambda.

Some function definitions are simple enough that they can be converted to a lambda function. By doing this, you write fewer lines of code, which is pretty awesome and will come in handy, especially when you're writing and maintaining big programs.

lambda Function

Here we rewrite our function raise_to_power as a lambda function. After the keyword lambda, we specify the names of the arguments; then, we use a colon followed by the expression that specifies what we wish the function to return.

raise_to_power = lambda x, y: x ** y

raise_to_power(2, 3)
8

As mentioned, the lambda functions allow you to write functions in a quick and dirty way, so we wouldn't advise you to use them all the time, but there are situations when they come in handy, like the example below.

map() and lambda Function

The map function takes two arguments, a function and a sequence such as a list and applies the function over all the elements of the sequence. We can pass lambda function to the map without even naming them, and in this case, we refer to them as anonymous functions.

In this example, we use map() on the lambda function, which squares all elements of the list, and we store the result in square_all.

nums = [48, 6, 9, 21, 1]

square_all = map(lambda num: num ** 2, nums)

print(square_all)
<map object at 0x103e065c0>

Printing square_all reveals that its a map object, so to see what it returns, we use list to turn it into a list and print the result.

print(list(square_all))
[2304, 36, 81, 441, 1]

Interactive Example of Writing a lambda Function

The below function echo_word takes 2 parameters: a string value, word1, and an integer value echo. It returns a string that is a concatenation of echo copies of word1.

You will convert the above simple function into a lambda function.

def echo_word(word1, echo):
    """Concatenate echo copies of word1."""
    words = word1 * echo
    return words

In the following example, you will:

  • Define a lambda function echo_word using the variables word1 and echo. Replicate what the original function definition for echo_word() does above.
  • Call echo_word() with the string argument 'hey' and the value 5, in that order. Assign the call to result. Finally, print the result variable.
# Define echo_word as a lambda function: echo_word
echo_word = (lambda word1, echo: word1 * echo)

# Call echo_word: result
result = echo_word('hey', 5)

# Print result
print(result)

When we run the above code, it produces the following result:

heyheyheyheyhey

Try it for yourself.

To learn more about Lambda functions, please see this video from our course Python Data Science Toolbox (Part 1).

This content is taken from DataCamp’s Python Data Science Toolbox (Part 1) course by Hugo Bowne-Anderson.

Check out DataCamp's Python Functions Tutorial.

Learn more about Python

Python Data Science Toolbox (Part 1)

Beginner
3 hr
356.9K
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
See DetailsRight Arrow
Start Course
See MoreRight Arrow
Related

Precision-Recall Curve in Python Tutorial

Learn how to implement and interpret precision-recall curves in Python and discover how to choose the right threshold to meet your objective.
Vidhi Chugh's photo

Vidhi Chugh

14 min

An Introduction to Hierarchical Clustering in Python

Understand the ins and outs of hierarchical clustering and its implementation in Python
Zoumana Keita 's photo

Zoumana Keita

17 min

Association Rule Mining in Python Tutorial

Uncovering Hidden Patterns in Python with Association Rule Mining
Moez Ali's photo

Moez Ali

14 min

An Introduction to Python Subprocess: Basics and Examples

Explore our step-by-step guide to running external commands using Python's subprocess module, complete with examples.
Moez Ali's photo

Moez Ali

15 min

Setting Up VSCode For Python: A Complete Guide

Experience a simple, fun, and productive way of Python development by learning about VSCode and its extensionsn and features.
Abid Ali Awan's photo

Abid Ali Awan

16 min

GeoPandas Tutorial: An Introduction to Geospatial Analysis

Get started with GeoPandas, one of the most popular Python libraries for geospatial analysis.
Javier Canales Luna's photo

Javier Canales Luna

15 min

See MoreSee More