How to aggregate pandas dataframe timestamps columns from days to years, calculating weighted average

Question

I\'m working with a pandas dataframe with the following format:

pd.DataFrame({
\'Col_1\': [\'AAA\', \'AAA\', \'AAA\', \'FFF\', \'FFF\'], 
\'Col_2\': [\'BBB\',