Loop

두문자어
두문자어 Python에서 
def abbreviate(to_abbreviate):
    phrase = to_abbreviate.replace("-", " ").replace("_", " ").upper().split()
    acronym = ""
    
    for word in phrase:
        acronym += word[0]

    return acronym
  • This approach begins by using str.replace() on to_abbreviate to convert non-letter characters such as - and _ into spaces.
  • The phrase is then upper-cased by calling str.upper().
  • Finally, the phrase is turned into a list of words by calling str.split().

The three methods above are all chained together, with each method operating on the output of the method before it in the "chain". This works because both replace() and upper() operate on strings (as they are str methods) and return strings. If split() was called first, replace() and upper() would fail, since they cannot operate on the list returned by split().

After the phrase is cleaned and split into a word list, we declare an empty acronym string to hold our final acronym. The phrase list is then looped over via for word in phrase. The first letter of each word is selected via bracket notation, and concatenated via + to the acronym string. When the loop is complete, acronym is returned from the function.

Note

re.findall() or re.finditer() can also be used to clean to_abbreviate. These two methods from the re module will return a list or a lazy iterator of results, respectively. As of this writing, both of these methods benchmark slower than using str.replace() for cleaning.

Translation missing: ko.number.nth.ordinalized Sep 2026 · 유용했나요?

Python의 두문자어에 대한 다른 접근법

우리 커뮤니티가 이 연습 문제를 해결한 다른 방법
from functools import reduce

def abbreviate(to_abbreviate):
    phrase = to_abbreviate.replace("-", " ").replace("_", " ").upper().split()

    return reduce(lambda start, word: start + word[0], phrase, "")
Functools Reduce

Use functools.reduce() to form an acronym from text cleaned using str.replace(). 

def abbreviate(to_abbreviate):
    phrase = to_abbreviate.replace("-", " ").replace("_", " ").upper().split()

    # Note the lack of square brackets around the comprehension.
    return "".join(word[0] for word in phrase)
Generator Expression

Use a generator expression with str.join() to form an acronym from text cleaned using str.replace(). 

def abbreviate(to_abbreviate):
    phrase = to_abbreviate.replace("-", " ").replace("_", " ").upper().split()

    return "".join([word[0] for word in phrase])
List Comprehension

Use a list comprehension with str.join() to form an acronym from text cleaned using str.replace(). 

def abbreviate(to_abbreviate):
    phrase = to_abbreviate.replace("-", " ").replace("_", " ").upper().split()
    
    return "".join(map(lambda word: word[0], phrase))
Map Built-in

Use the built-in map() function to form an acronym after cleaning the input string with str.replace(). 

import re

def abbreviate(phrase):
    removed = re.findall(r"[a-zA-Z']+", phrase)

    return "".join(word[0] for word in removed).upper()
Regex join

Use regex to clean the input string and form the acronym with str.join(). 

import re

def abbreviate_regex_sub(to_abbreviate):
    pattern = re.compile(r"(?<!_)\B[\w']+|[ ,\-_]")

    return re.sub(pattern, "", to_abbreviate.upper())
Regex Sub

Use re.sub() to clean the input string and create the acronym in one step. 

VALID_CHARS = {" ", "-"} | set(ascii_letters)

def abbreviate(to_abbreviate):
    to_abbreviate = "".join(" " if char == "-" else char
                            for char in to_abbreviate
                            if char in VALID_CHARS)

    return "".join(word[0] for word in to_abbreviate.split()).upper()
Double Generator Expression

Use generator expressions for both cleaning and joining the input.