calculate datetime-difference in years, months, etc. in a new pandas dataframe column

Question

I have a pandas dataframe looking like this:

Name    start        end
A       2000-01-10   1970-04-29

I want to add a new column providing the

Answer 1

You can try by creating a new column with years in this way:

df['diff_year'] = df['diff'] / np.timedelta64(1, 'Y')