14 авг. 2009 г. · I'm removing non-alphanumeric characters from the string string.printable (part of the built-in string module). The use of compiled '[\W_]+' and pattern.sub('' ...

26 мар. 2014 г. · To remove one or more chars other than letters, digits and _ from both ends you may use re.sub(r'^\W+|\W+$', '', '??cats--') # => cats

9 авг. 2019 г. · Anchor your pattern at the end, and use a correct character class: output = re.sub(r"[\W\d_]+$", "", s) That'll remove a single run of all non-letter ...

16 янв. 2015 г. · Make sure to escape the backslash inside the character class. Use raw string for regular expression, it eliminates need in further escaping.

1 нояб. 2016 г. · I can do a traditional way to remove those items by indexing the key, but is there an efficient way to remove them by using regular expression?

27 сент. 2018 г. · Use DataFrame.replace only and add whitespace to pattern: df = df.replace('[^a-zA-Z0-9 ]', '', regex=True)

30 сент. 2021 г. · Is there a way to completely eliminate all NON-text characters and keep only a single word or words in the same column?

29 апр. 2019 г. · Python - Remove non alphanumeric characters but keep spaces and Spanish/Portuguese characters · 0 · Using Regex to match input containing only ...

21 февр. 2019 г. · I would like to remove all non-alphanumeric characters except brackets and what's between them in python.

31 янв. 2019 г. · I need to process volumes of text and one of the steps is to remove all non-alphanumeric characters. I'm trying to find an efficient way to do it.