Python Pandas 数据框：一列包含特殊的 HTML 特殊字符，例如 & < 有没有办法删除它们？

Question

I am only showing an example here. Is there a way to remove all of the special characters? (eg. not just "&" and "<" shown)

Answer 1

I think the following would work with only one pass through the text

re.sub("&[a-zA-Z]+?;","",corpus_of_text)

in a dataframe i think its just (I think...)

cleaned_values = df['column2'].str.replace(re.compile("&[a-zA-Z]+?;"),"")

Answer 2

found this https://gist.github.com/codeboy/5487eeb1c551d59e2366 which does slightly more than you're asking, so i modified it to this:

import re

def parse_text(text, patterns=None): 
    """ 
    modified from above github gist
    delete all HTML entities 
    :param text (str): given text 
    :param patterns (dict): patterns for re.sub 
    :return str: final text 
    """ 
    base_patterns = {"&[rl]dquo;": "", 
                     "&[rl]squo;": "", 
                     " ": "", 
                      "&": ""} 
    patterns = patterns or base_patterns 
     
    final_text = text 
    for pattern, repl in patterns.items(): 
        final_text = re.sub(pattern, repl, final_text) 
    return final_text

you can call it like this, assigning to a new column so you can compare the result to the original string:

df["column3"] = df["column2"].apply(parse_text)

please note that the patterns variable is probably not complete, and you may have to augment it based on what you have in your escaped HTML.