That looks like a pivot table. Have you looked into using the pivot table method with DataFrames?
Xinh > On Aug 26, 2016, at 4:54 AM, Rex X <dnsr...@gmail.com> wrote: > > 1. Given following CSV file > $cat data.csv > > ID,City,Zip,Price,Rating > 1,A,95123,100,0 > 1,B,95124,102,1 > 1,A,95126,100,1 > 2,B,95123,200,0 > 2,B,95124,201,1 > 2,C,95124,203,0 > 3,A,95126,300,1 > 3,C,95124,280,0 > 4,C,95124,400,1 > > We want to group by ID, and make new composite columns of Price and Rating > based on the value of $City-$Zip. > > > 2. The Expected Result: > > ID A_95123_Price A_95123_Rating A_95126_Price A_95126_Rating > B_95123_Price B_95123_Rating B_95124_Price B_95124_Rating C_95124_Price > C_95124_Rating > 1 100 1 100 2 0 0 102 2 0 > 0 > 2 0 0 0 0 200 1 201 2 203 > 1 > 3 0 0 300 2 0 0 0 0 280 > 1 > 4 0 0 0 0 0 0 0 0 400 > 2 > > Any tips would be greatly appreciated! > > Thank you. > > Regards, > Rex >
