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

A much simpler way is to use date_range function and calculate length of the same

startdt=pd.to_datetime('2017-01-01')
enddt = pd.to_datetime('2018-01-01')
len(pd.date_range(start=startdt,end=enddt,freq='M'))