Pandas sum by groupby, but exclude certain columns

Question

What is the best way to do a groupby on a Pandas dataframe, but exclude some columns from that groupby? e.g. I have the following dataframe:

Answer 1

If you are looking for a more generalized way to apply to many columns, what you can do is to build a list of column names and pass it as the index of the grouped dataframe. In your case, for example:

columns = ['Y'+str(i) for year in range(1967, 2011)]

df.groupby('Country')[columns].agg('sum')