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How can I use itertools to flatten a nested list in Python?

An example of an AI chatbot conversation about using itertools to flatten collections in Python.

😀
You

How can I use itertools to flatten a nested list in Python?

MagicBuddy
MagicBuddy

You can use itertools.chain.from_iterable() to flatten a nested list. Here's an example:

import itertools
nested_list = [[1, 2, 3], [4, 5], [6]]
flattened = list(itertools.chain.from_iterable(nested_list))
print(flattened)  # Output: [1, 2, 3, 4, 5, 6]
😀
You

What if I have a more complex nested structure?

MagicBuddy
MagicBuddy

For more complex structures, you might need a recursive approach. Here's a function that handles deeper nesting:

def flatten(nested):
    for item in nested:
        if isinstance(item, list):
            yield from flatten(item)
        else:
            yield item

nested_list = [1, [2, [3, 4], 5], 6]
flattened = list(flatten(nested_list))
print(flattened)  # Output: [1, 2, 3, 4, 5, 6]
😀
You

Can I use list comprehensions instead?

MagicBuddy
MagicBuddy

Yes, you can use list comprehensions to flatten a list, but it works best for one level of nesting. For example:

nested_list = [[1, 2, 3], [4, 5], [6]]
flattened = [item for sublist in nested_list for item in sublist]
print(flattened)  # Output: [1, 2, 3, 4, 5, 6]
😀
You

Are there any performance differences between these methods?

MagicBuddy
MagicBuddy

Yes, performance can vary. itertools.chain is generally faster for large lists, while list comprehensions are more readable for simpler cases. Recursive functions can be slower due to function call overhead.

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