Situation

I solved the task of flattening a pandas dataframe containing list elements into a list using list comprehension. However, this abuses list comprehension and results in code that is much less readable.

[passage for lst_passage in make_passages['passages'] for passage in lst_passage]

Solutions

1. Use itertools

import itertools

passages = list(itertools.chain.from_iterable(make_passages['passages']))

2. Unpacking (using *)

passages = list(*passage for passage in make_passages['passages'])

3. Functions

def flatten_list(nested_list):
   return [item for sublist in nested_list for item in sublist]

passages = flatten_list(make_passages['passages'])