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Vasu D.

7 mins read


Flatten List of Lists (Nested List) in Python

Learn how can you flatten a nested list to a flat list of individual elements in Python. We will be sharing 5 ways to do this.


What do we mean by "Flattening"

Often times we may get to work on nested list or list of lists type of data, and we need to flatten it. Flattening means converting a list of list of elements to list of elements.Or in other words, converting a multi-dimensional list to a one-dimensional list.

Let's understand this by an example :

multi_dimensional_list = [
    [1, 2, 3, 4],
    ["a", "b", "c"],
    [5, 6, 7, 8],
]

This was an example of a multi dimensional list, or a list of lists. Now let's see an example for flattened version of the same list :

flattened_list = [1, 2, 3, 4, "a", "b", "c", 5, 6, 7, 8]

Different ways to flatten a nested list in Python

There are various ways to flatten a nested list, using built-in features and with third party libraries. Some of them are :

  • Flattening with a For loop
  • Flattening using List Comprehension
  • Flattening with Recursion
  • Flattening with sum()
  • Flattening with itertools
  • Flattening with Third party libraries such as more_itertools and funcy

Let's take a look at each methods, one by one.

How to flatten list of lists with for loop

In this example, we will :

  1. Iterate on the list nested_list
  2. And we will extend the flattened_list with the sublist
  3. After a complete iteration on nested_list, we will have a flattened list

Copy the below code, and save it in a file main.py :

nested_list = [[1, 2, 3], [4, 5], [6, 7, 8]]
 
flattened_list = []
 
for sublist in nested_list:
    flattened_list.extend(sublist)
 
print(flattened_list)

Output :

[1, 2, 3, 4, 5, 6, 7, 8]

Note : While this approach is simple and works well for 1-level nested list. It can be inefficient for large lists and incorrect for deeply nested lists.

For cases like this, it makes more sense to use recursion or libraries like more-itertools. You can find guides for both below.

Flattening list of lists with List Comprehension

Another short-hand to our for loop approach is using Python list comprehensions for this task. Let's see with an example :

nested_list = [[1, 2, 3], [4, 5], [6, 7, 8]]
 
flattened_list = [item for sublist in nested_list for item in sublist]
 
print(flattened_list)

Output :

[1, 2, 3, 4, 5, 6, 7, 8]

While this does the job in a one-liner, and looks cleaner - it's not the most optimal way to flatten as we require two iterations here.

Deeper nesting Meme

Flattening nested lists with Recursion

With recursion, we can flatten deeply nested lists as well. Let's see with an example, consider we have a deeply nested list like this :

nested_list = [1, [2, [3, 4], 5], 6]

For cases like this, we need to keep flattening it till we no longer encounter list of elements again. Let's write code for flattening list with recursion :

def flatten(input_list):
    result = []
    for item in input_list:
        if isinstance(item, list):
            result.extend(flatten(item))
        else:
            result.append(item)
    return result
 
nested_list = [1, [2, [3, 4], 5], 6]
flattened_list = flatten(nested_list)
print(flattened_list)
 

Output :

[1, 2, 3, 4, 5, 6]

The recursive approach is more clean and elegant as compared to the previous approach. And is capable of flattening deeply-nested lists as well.

Flattening list of lists with sum() method

You can use python's built-in sum() method to flatten a list of lists as well. When we use sum() method on a list of lists, it concatenates all the sub-lists together to form a list of elements.

nested_list = [[1, 2, 3], [4, 5], [6, 7, 8]]
 
flattened_list = sum(nested_list, [])
 
print(flattened_list)

Output :

[1, 2, 3, 4, 5, 6, 7, 8]

While this is more of a hacky way to do it, it still does the job.

Flattening nested list with itertools library

itertools is part of Python Standard library, which has methods to flatten lists as well. We can flatten list of lists in Python using itertools.chain function.

The chain method takes a list of Python iterables and returns a single grouped iterable. This behaviour of chain method helps us to flatten our list.

Let's see an example :

from itertools import chain
 
nested_list = [[1, 2, 3], [4, 5], [6, 7, 8]]
 
flattened_list = list(chain.from_iterable(nested_list))
 
print(flattened_list)

Output :

[1, 2, 3, 4, 5, 6, 7, 8]

Using itertools.chain method is recommended for working with large or deeply nested lists. It's efficient and very clean way to flatten a nested list.

Flattening with Third party libraries

You can also flatten nested lists using third party libraries in Python. We personally recommend using itertools.chain, as it's clean enough already. We will be sharing examples of two libraries :

  • more-itertools
  • funcy

Flatten nested lists with more-itertools

more-itertools library as the name suggests, provides more methods that are missing from itertools. It has methods to flatten nested lists as well.

  1. Install more-itertools library using pip :

    pip install more-itertools
  2. Example code :

    from more_itertools import flatten
     
    nested_list = [[1, 2, 3], [4, 5], [6, 7, 8]]
     
    flattened_list = list(flatten(nested_list))
     
    print(flattened_list)

Flatten nested lists with funcy

funcy library provides various functional programming methods, including methods to flatten nested lists.

  1. Install funcy library using pip :

    pip install funcy
  2. Example code :

    from funcy import flatten
     
    nested_list = [[1, 2, 3], [4, 5], [6, 7, 8]]
     
    flattened_list = list(flatten(nested_list))
     
    print(flattened_list)

Conclusion

And that's all! In this post, we saw various ways and examples to flatten nested lists in Python. Remember to pick the method that's more aligned with your project's coding style and if efficient enough for your use case.

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