Pandas - Converting date column from dd/mm/yy hh:mm:ss to yyyy-mm-dd hh:mm:ss

Question

I have a dataframe (df) that has a date column (column name : sale_date) that stores data in the below format

dd/mm/yy hh:mm:ss

I am trying to

Answer 1

You can do so:

df['sale_date'] = pd.to_datetime(df['sale_date'], format='%d/%m/%y %H:%M:%S').dt.strftime('%Y-%m-%d %H:%M:%S')

Input:

           sale_date
0  04/12/10 21:12:35
1  04/12/10 21:12:30

Output:

             sale_date
0  2010-12-04 21:12:35
1  2010-12-04 21:12:30