Reputation: 813
I am learning python and I am trying to do some text preprocessing and I have been reading and borrowing ideas from Stackoverflow. I was able to come up with the following formulations below, but they don't appear to do what I was expecting, and they don't throw any errors either, so I'm stumped.
First, in a Pandas dataframe column, I am trying to remove the third consecutive character in a word; it's kind of like running a spell check on words that are supposed to have two consecutive characters instead of three
buttter = butter
bettter = better
ladder = ladder
The code I used is below:
import re
docs['Comments'] = [c for c in docs['Comments'] if re.sub(r'(\w)\1{2,}', r'\1', c)]
In the second instance, I just want to to replace multiple punctuations with the last one.
????? = ?
..... = .
!!!!! = !
---- = -
***** = *
And the code I have for that is:
docs['Comments'] = [i for i in docs['Comments'] if re.sub(r'[\?\.\!\*]+(?=[\?\.\!\*])', '', i)]
Upvotes: 1
Views: 174
Reputation: 627507
It looks like you want to use
docs['Comments'] = docs['Comments'].str.replace(r'(\w)\1{2,}', r'\1\1', regex=True)
.str.replace(r'([^\w\s]|_)(\1)+', r'\2', regex=True)
The r'(\w)\1{2,}'
regex finds three or more repeated word chars and \1\1
replaces with two their occurrences. See this regex demo.
The r'([^\w\s]|_)(\1)+'
regex matches repeated punctuation chars and captures the last into Group 2, so \2
replaces the match with the last punctuation char. See this regex demo.
Upvotes: 1