i have a df and i have some questions.
i need to change one column from the df to the superior level of the header: column ->level 0 axis 1.

and the other way from multilevel df, take the level 0 and put it in the df. level0 axis 1 -> columns

but i searched on the web if there are other methods more straightforward
because it seemed a bit complicated some times .

i ask here because it took me some longs hours to understand the documentation and i m not sure if there is a better method

first case. from:

df      name0|    a    ,    b    ,    ,
index   name1|    aa   ee   cc   dd   bb
-------------|--------------------------
0            |    1     5    8    8   7 
1            |    4     7    8    9   5 

to:

df   
index   name1|  name0  aa   ee   cc   dd   bb
-------------|-------------------------------
0            |    a    1     5    8    8   7 
1            |    a    4     7    8    9   5 

i found
df.stack()reset_index(level='name0')

or second case. from:

df   
index   name1|  name0  aa   ee   cc   dd   bb
-------------|-------------------------------
0            |    a    1     5    8    8   7 
1            |    a    4     7    8    9   5 

to:

df      name0|    a    ,    b    ,    ,
index   name1|    aa   ee   cc   dd   bb
-------------|--------------------------
0            |    1     5    8    8   7 
1            |    4     7    8    9   5 

i found

df.set_index('column,append=true).unstack(level='name0').swaplevel(axis=1).sort_index(axis=1,level=0)
or
df..set_index('column,append=true).stack().unstack( level=['name0', 'name1'] )

a las question is: how to reorder a multi level heade dataframe column in a specific order because those transformations sometimes mess the order and i need in in specific order
(actually it is not so important but i wanna know)