replace() 在 for 循环中不使用关键字 arguments

Question

I'm trying to convert multiple columns of dollar amount into float, and wrote the following code

    for column in wo.columns[14:21]:
        column = (column.replace( '[\$,)]','', regex=True )
                   .replace( '[(]','-',   regex=True ).replace('#NAME?','NaN', regex=True).astype(float))
    return column


And this is the error i get:
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-276-f7c13cb3d0af> in <module>
      1 for column in wo.columns[14:19]:
----> 2     column = (column.replace( '[\$,)]','', regex=True )
      3                .replace( '[(]','-',   regex=True ).replace('#NAME?','NaN', regex=True).astype(float))
      4 return column
      5 

TypeError: replace() takes no keyword arguments

What might be wrong? wo is the name of the dataframe, the library i used to load the dataframe was Pandas, and when i used the code on other individual columns it worked fine, just when i used a for loop it return an error.

Answer 1

It is giving an error because it doesn't accept keyword arguments; in this case regex=True . As per the documentation , it doesn't exist. Also, .replace is for strings only, so the type of data here should be str . On the other hand, should you want to use regex, I'd recommend re.sub

Answer 2

What type is column? print(type(column)) if its a str, it is going to use str.replace, which takes no kwargs. Try deleting regex=True .

Answer 3

Try to delete the 'regex = True' will be helpful from my case.

# df_num_key_split[name][var].replace(to_replace="[\[|\]|']|\s+|\.|\-", value='', regex=True)

After I did this, it worked.

df_num_key_split[name][var].replace("[\[|\]|']|\s+|\.|\-", '')