遍历 Panda 的 df col 以删除 str

Question

I'm trying to solve this issue. Basically my column 'review' has a bunch of junk HTML stuff which was returned by soup. I am unsure how to remove this and have tried to iterate in various ways. How would you iterate through the df and replace these values? I would like them blank but I'm using HELLO for test.

for index, row in enumerate(df['review']):
    row = df.replace('<div class="text show-more__control">', 'HELLO', inplace=False)
    df['review'] = row

Answer 1

You can use regular string functions such as replace() with DataFrame["columname"].str.replace() . If you want to replace all values in the column by nothing you can just use DataFrame["columname"] = '' .

Answer 2

Your approach is overkill, because iterating a dataframe with iterrows is slow as it iterates through all the rows (with all the columns for each one) and you really only want to apply the replacement to one column.

My advise will be to use a lambda funcion only applied to the column where you want the replacement:

df['column'] = df['column'].apply(lambda x: x.replace('replacethis', 'withthis'))