unidecodeoften mentioned for emphasis removal in Python, but it also does more than that: it converts '°'to 'deg', which may not be the desired output.
unicodedataseems to have enough functionality to remove accents .
With any template
This method should work with any template and any text.
You can temporarily remove accents from text and a regular expression pattern. Matching information from re.finditer()(start and end indices) can be used to change the original accented text.
, , .
import re
import unicodedata
original_text = "I'm drinking a 80° café in a cafe with Chloë, François Déporte and Francois Deporte."
accented_pattern = r'a café|François Déporte'
def remove_accents(s):
return ''.join((c for c in unicodedata.normalize('NFD', s) if unicodedata.category(c) != 'Mn'))
print(remove_accents('äöüßéèiìììíàáç'))
pattern = re.compile(remove_accents(accented_pattern))
modified_text = original_text
matches = list(re.finditer(pattern, remove_accents(original_text)))
for match in matches[::-1]:
modified_text = modified_text[:match.start()] + 'X' + modified_text[match.end():]
print(modified_text)
:
import re
from unidecode import unidecode
original_text = "I'm drinking a café in a cafe with Chloë."
def remove_accents(string):
return unidecode(string)
accented_words = ['café', 'français']
words_to_remove = set(remove_accents(word) for word in accented_words)
def remove_words(matchobj):
word = matchobj.group(0)
if remove_accents(word) in words_to_remove:
return 'X'
else:
return word
print(re.sub('\w+', remove_words, original_text))