Find and Replace Pandas only indexing each row-CodePudding

On Python 3.9 and Pandas 1.3.4.

So I'm trying to get rid of "(". ")", and "-" from my csv file in column E.

This is what the original file looks like. This is what I'm trying to get.

Here is my code (it is editted to work):

import pandas as pd

df = pd.read_csv('file.csv', header=0)

df['Phone'] = df['Phone'].str.replace(['()-'], ' ')

df.to_csv('file.csv')

But this is what happens. I was looking at this site and another question on here that I have lost on how to do a find and replace but it does not work/

CodePudding user response：

You have to convert you pandas Series to string (df['Phone'].str) before calling the replace method.

df['Phone'].str.replace('(', ' ', regex=True) should do the trick.

CodePudding user response：

Try using regex character class [()-] to remove any unwanted single character.

import pandas as pd

df = pd.DataFrame(
    {'Phone':['(555)123-1234','(555)555-1234','(555)545-1234','(555)888-1234']}
)

df['NewPhone'] = df['Phone'].str.replace('[()-]','', regex=True)
print(df)

Output from df

           Phone    NewPhone
0  (555)123-1234  5551231234
1  (555)555-1234  5555551234
2  (555)545-1234  5555451234
3  (555)888-1234  5558881234