如何从熊猫系列中的字符串中删除标点符号

Question

I am trying to remove punctuation from a pandas Series. My problem is that I am unable to iterate over all the lines in the Series. This is the code that I tried out but it is taking forever to run. Note that my dataset is a bit large, around 112MB(200,000 rows)

import pandas as pd
import string

df = pd.read_csv('let us see.csv')
s = set(string.punctuation)

for st in df.reviewText.str:
    for j in s:
        if j in st:
            df.reviewText = df.reviewText.str.replace(j, '')

df.reviewText = df.reviewText.str.lower()
df['clean_review'] = df.reviewText
print(df.clean_review.tail())

Answer 1

DEN's answer is pretty good. I just add another solution of how to improve the performance of your code. Iteraring over a list version of your series should work faster than your approach.

import pandas as pd
import string

def replace_chars(text, chars):
    for c in chars:
        text = text.replace(c, '')
    return text.lower()

df = pd.read_csv('let us see.csv')
s = set(string.punctuation)

reviewTextList = df.reviewText.astype(str).tolist()
reviewTextList = [replace_chars(x, s) for x in reviewTextList]

df['clean_review'] = reviewTextList
print(df.clean_review.tail())