在 Pandas Dataframe 中创建一个 Total 行

Question

So I am trying to create a new row in my dataframe that adds up the sums for only column AB and C and have the means for column D and E. I have tried doing something like:

df.loc['totals'] = df['daily budget', 'weekly budget', 'monthly budget'].sum() + df['average spent monthly','average spent yearly'].mean()

It didnt work. Should I try to define each value by doing something like

sum1 = df['daily budget'].sum()
sum2 = df['weekly budget'].sum()
sum3 = ....
mean1 =df['average monthly'].mean()
mean2 = ....

And fill in the cell?

Answer 1

If you want to go with your approach then this should work.

sum1 = df['daily budget'] + df['weekly budget'] + df['monthly budget']

mean1 = (df['average spent monthly'] + df['average spent yearly'])/2

df['total'] = sum1 + mean1