["python","replace","pandas","dataframe"]
How to replace text in a string column of a Pandas dataframe?

I have a column in my dataframe like this: range "(2,30)" "(50,290)" "(400,1000)" ... and I want to replace the , comma with - dash. I'm currently using this method but nothing is changed. org_info_exc['range'].replace(',', '-', inplace=True) Can anybody help?
Use the vectorised str method replace: df['range'] = df['range'].str.replace(',','-') df range 0 (2-30) 1 (50-290) EDIT: so if we look at what you tried and why it didn't work: df['range'].replace(',','-',inplace=True) from the docs we see this description: str or regex: str: string exactly matching to_replace will be replaced with value So because the str values do not match, no replacement occurs, compare with the following: df = pd.DataFrame({'range':['(2,30)',',']}) df['range'].replace(',','-', inplace=True) df['range'] 0 (2,30) 1 - Name: range, dtype: object here we get an exact match on the second row and the replacement occurs.