This code snippet will show how to deal with the order of levels when you want to stack or unstack the df

change_levels_hierarchy_index.py

# Examples can be found in Pandas Book (Notebooks) 3 Section > 2. Combining, Merging 

# This is very manual (but a kind of hack)
df.stack(level= [0, 1]).unstack(level= [1, 2, 3])
         # Desired level and their order ↑ (Both stack / unstack required)
  
 
# Real Way - efficient
df.unstack().swaplevel(2, 0, axis= 1).sort_index(level= 0, aixs= 1)
# This is the  ↑  person.               ↑  This sorting is optional but required for cleaner dataset

From here: https://stackoverflow.com/questions/29859296/how-do-i-change-order-grouping-level-of-pandas-multiindex-columns