Converting Timestamp('YYYY-MM-DD HH:MM:SS') to simple datetime format

Question

When I import data from excel in python, the dates there appear in the Timestamp format i mentioned in the title, which makes it very difficult to match dates(I need to match a few specific dates in the entire list i imported and do some calculations). So, is there a way to convert this into datetime format so that i can apply functions like timedelta etc. (or) is there a way of doing what I need without datetime. Any help would be extremely helpful. Thanks!!

Answer 1

Assuming the imported date is a Numpy timestamp, how about:

import datetime as dt

df['date_format'] = [ts.astype(dt.datetime).date() for ts in df['imported_date]]