Remove unwanted parts from strings in a column

Question

I am looking for an efficient way to remove unwanted parts from strings in a DataFrame column.

Data looks like:

    time    result
1    09:00   +52A
         


        

Answer 1

i'd use the pandas replace function, very simple and powerful as you can use regex. Below i'm using the regex \D to remove any non-digit characters but obviously you could get quite creative with regex.

data['result'].replace(regex=True,inplace=True,to_replace=r'\D',value=r'')