Subtotal in Columns - Pivot Table - Pandas

I'm trying to create a pivot table that has, besides the general total, a subtotal between column levels and lines as well.

The lines I've already achieved through the following function:

table  = df_consulta.pivot_table(index=["CAT1","CAT2"],values=["ID_CAT"],
               columns=["COL1","COL2"],aggfunc=[np.count_nonzero],fill_value = 0,margins = True,margins_name = 'zzzTotal')

tab_tots = table.groupby(level='CAT1').sum()
tab_tots.index = [tab_tots.index, ['zzTotal'] * len(tab_tots)]

tabela_ok = pd.concat([table, tab_tots]).sort_index()

tabela_ok

andtheoveralltotalalso,usingthe'margin'parameter.

Itriedthesamefunctiontogetthesumofthecolumn:

tab_tots=table.groupby(level="COL1").sum()

however I get the error:

  

KeyError: 'Level COL1 not found'

Because the columns are not a table level.

But I could not think of a way to mount this subtotal for the columns in the case ("A", "B" and "C")