Reputation: 1581
This is my dataframe after pivoting:
Country London Shanghai
PriceRange 100-200 200-300 300-400 100-200 200-300 300-400
Code
A 1 1 1 2 2 2
B 10 10 10 20 20 20
Is it possible to add columns after every country to achieve the following:
Country London Shanghai All
PriceRange 100-200 200-300 300-400 SubTotal 100-200 200-300 300-400 SubTotal 100-200 200-300 300-400 SubTotal
Code
A 1 1 1 3 2 2 2 6 3 3 3 9
B 10 10 10 30 20 20 20 60 30 30 30 90
I know I can use margins=True, however that just adds a final grand total. Are there any options that I can use to achieve this? THanks.
Upvotes: 0
Views: 103
Reputation: 323286
Let us using sum
with join
s=df.sum(level=0,axis=1)
s.columns=pd.MultiIndex.from_product([list(s),['subgroup']])
df=df.join(s).sort_index(level=0,axis=1).assign(Group=df.sum(axis=1))
df
A B Group
1 2 3 subgroup 1 2 3 subgroup
Code
A 1 1 1 3 2 2 2 6 9
B 10 10 10 30 20 20 20 60 90
Upvotes: 4