The zip() function takes a number of
An iterable is an object that contains elements over which you can iterate. Examples are lists, sets, or tuples.
Before I’ll explain it slowly to you, try out the code in our interactive shell:
Say, you have two lists:
Now you zip them together and get the new list:
[(1,4), (2,5), (3,6)]
You can unzip them by using the following trick: If you remove the outer bracket of the result (e.g., via the asterisk operator), you get the following three tuples:
(1,4) (2,5) (3,6)
When you zip those together, you get the new list:
So you (almost) have your two original lists again!
This is the idea in the following code snippet:
lst_1 = [1, 2, 3] lst_2 = [4, 5, 6] # Zip two lists together zipped = list(zip(lst_1, lst_2)) print(zipped) # [(1, 4), (2, 5), (3, 6)] # Unzip to lists again lst_1_new, lst_2_new = zip(*zipped) print(list(lst_1_new)) print(list(lst_2_new))
The rest of the article is about answering any question you may have regarding the
How to Zip Lists of Different Lengths?
Just do it. Python simply ignores the remaining elements of the longer list. Here is an example:
print(list(zip([1,2,3],[1,2]))) # [(1, 1), (2, 2)]
Can You Use Zip With a Single Argument?
Maybe you remember that I did this a few emails ago to trick you. So: Yes, you can do that. Python still creates a tuple of the
print(list(zip([1,2,3]))) # [(1,), (2,), (3,)]
This strange output formatting caused some confusion. Many students of my free email course stumbled upon it (join us if you want to continuously improve in Python —
I hope that you now understand completely that this is not a bug in Python but only a tuple with a single element. (Don’t ask me why they didn’t use the format ‘(x)’ instead of ‘(x,)’.)
What’s a Zip Object in Python?
You will quickly realize that the result of the zip function is neither a list nor a tuple:
x = [[1,2],[3,4]] print(zip(*x))
You would expect [(1,3),(2,4)] but the result is “<zip object at 0x000002E9D87CFD08>”. That’s weird, isn’t it?
Actually not. The result of the zip() function is an iterator. An iterator in Python is an object that contains a fixed number of elements and allows you to access each element in an ordered fashion (the next(iterator) function for an iterator). This is more efficient and more general-purpose — compared to creating a list and returning the list as a result.
To fix this, you have to convert the iterator object in the iterable you want (e.g. set, list, tuple):
x = [[1,2],[3,4]] print(list(zip(*x))) # [(1, 3), (2, 4)]
Finally, let me clarify one last thing: the asterisk operator is placed just before the iterable to be unpacked (not after it or anywhere else). If you put the asterisk operator anywhere else, Python will think it’s multiplication and throw an error (best case)
x = [[1,2],[3,4]] y = zip*(x) # NO! y = zip(x*) # NO! y = *zip(x) # No! (It's an iterator not an iterable) y = zip(*x) # Yes!
Where to Go From Here?
Enough theory. Let’s get some practice!
Coders get paid six figures and more because they can solve problems more effectively using machine intelligence and automation.
To become more successful in coding, solve more real problems for real people. That’s how you polish the skills you really need in practice. After all, what’s the use of learning theory that nobody ever needs?
You build high-value coding skills by working on practical coding projects!
Do you want to stop learning with toy projects and focus on practical code projects that earn you money and solve real problems for people?
🚀 If your answer is YES!, consider becoming a Python freelance developer! It’s the best way of approaching the task of improving your Python skills—even if you are a complete beginner.
If you just want to learn about the freelancing opportunity, feel free to watch my free webinar “How to Build Your High-Income Skill Python” and learn how I grew my coding business online and how you can, too—from the comfort of your own home.
While working as a researcher in distributed systems, Dr. Christian Mayer found his love for teaching computer science students.
To help students reach higher levels of Python success, he founded the programming education website Finxter.com that has taught exponential skills to millions of coders worldwide. He’s the author of the best-selling programming books Python One-Liners (NoStarch 2020), The Art of Clean Code (NoStarch 2022), and The Book of Dash (NoStarch 2022). Chris also coauthored the Coffee Break Python series of self-published books. He’s a computer science enthusiast, freelancer, and owner of one of the top 10 largest Python blogs worldwide.
His passions are writing, reading, and coding. But his greatest passion is to serve aspiring coders through Finxter and help them to boost their skills. You can join his free email academy here.