I'm working with a day of year column that ranges from 1 to 366 (to account for leap years). I need to convert this column into a date for a specific task and I would like to set it to a year that is very unlikely to appear in my time series. Is there a way to set it to the oldest leap year of pandas? import pandas as pd # here is an example where the data have already been converted to datetime object # I just missed the year to set dates = pd.Series(pd.to_datetime(['2023-05-01', '2021-12-15', '2019-07-20'])) first_leap_year = 2000 # this is where I don't know what to set new_dates = dates.apply(lambda d: d.replace(year=first_leap_year)) Continue reading...
