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

In the particular case where you know the number of positions that you want to remove from the dataframe column, you can use string indexing inside a lambda function to get rid of that parts:

Last character:

data['result'] = data['result'].map(lambda x: str(x)[:-1])

First two characters:

data['result'] = data['result'].map(lambda x: str(x)[2:])