List comprehension with pattern match in Python

I have one list named columns, and I have to create one nested list based on a split of the elements (the first three).

For example, I will divide this element ‘101 Drive 1 A’ in ‘101 Drive 1’ and make a group.

columns = ['101 Drive 1 A','101 Drive 1 B','102 Drive 2 A','102 Drive 2 B','102 Drive 2 C','103 Drive 1 A']

The output will look like this:

[
  ['101 Drive 1 A', '101 Drive 1 B'],
  ['102 Drive 2 A', '102 Drive 2 B', '102 Drive 2 C'],
  ['103 Drive 1 A']
]

Answer

One approach using collections.defaultdict:

from collections import defaultdict

columns = ['101 Drive 1 A', '101 Drive 1 B', '102 Drive 2 A', '102 Drive 2 B', '102 Drive 2 C', '103 Drive 1 A']

groups = defaultdict(list)
for column in columns:
    key = column[:3]
    groups[key].append(column)

res = list(groups.values())
print(res)

Output

[['101 Drive 1 A', '101 Drive 1 B'], ['102 Drive 2 A', '102 Drive 2 B', '102 Drive 2 C'], ['103 Drive 1 A']]

A more robust alternative, that is going to work for any number at the beginning of the string, is to use a regular expression:

import re

groups = defaultdict(list)
for column in columns:
    key = re.match("d+", column).group()
    groups[key].append(column)

res = list(groups.values())
print(res)