如何在不删除空格的情况下删除 python 字符串中的特殊字符“^”

Question

i've been wondering how to remove the special character '^' in a python string, it seems like it doesn't count like the other special characters.

I actually was trying to remove some special characters in a dataframe by using this code below:

def remove_special_characters(text, remove_digits=True):
    text=re.sub(r'[^a-zA-z0-9\s]+','',text)
    
    return text


df['review']=df['review'].apply(remove_special_characters)

but the symbol '^' is still appearing in my data, do you know some code to remove it please?

Answer 1

The use case you're tackling is already addressed by translate(), without any need to resort to power tools like regexes.

https://docs.python.org/3/library/stdtypes.html#str.maketrans

But suppose you really want to use a regex. This unit test works fine.

    def test_battle(self):

        def remove(text):
            return non_alnum.sub("", text)

        non_alnum = re.compile(r"[^a-zA-Z0-9]")
        d = dict(word="Bat^tle", definition="Combat between opponents,")
        df = pd.DataFrame([d])
        self.assertEqual(["Bat^tle"], list(df.word))
        df["word"] = df.word.apply(remove)
        self.assertEqual(["Battle"], list(df.word))

---

Depending on specifics of your use case, this code might be preferable:

        non_alnum = re.compile(r"[^\w]")  # We choose to ignore the "_" underscore detail.
        b = dict(word="Bat^tle", definition="Combat between opponents,")
        c = dict(word="Coup d'état", definition="Diplomacy through other means")
        df = pd.DataFrame([b, c])
        self.assertEqual(["Bat^tle", "Coup d'état"], list(df.word))
        df["word"] = df.word.apply(remove)
        self.assertEqual(['Battle', 'Coupdétat'], list(df.word))