To do aggregation in Python Pandas, we can use groupby and aggregeation methods.
For instance, we write
df1 = df.groupby(['A', 'B'], as_index=False)['C'].sum()
to get the sums of column A and B values in column C by call groupby to group the values in the columns and then call sum to sum up the grouped values.
We can also use agg after groupby to do aggregation.
For instance, we write
df5 = df.groupby(['A', 'B']).agg(['mean','sum'])
to call groupby to do the same grouping and call agg to return the mean and sum.
