Python Pandas数据框转换

Question

I'm trying to transform a panda data frame , its original structure is

USER_ID , Buisiness_ID, Rating
abcde   , a1b1c2      , 3
abcde   , a2b3c2      , 3
afgh    , a1b3        ,1 

and I'm trying to transform it into

        a1b1c2       a2b3c2      a1b3
abcde     3            3
afgh                               1

what would be the best way to do this?

Answer 1

You are looking for the pivot operation, which looks like reshaping the table from long to wide:

import pandas as pd
print df.pivot(index='USER_ID', columns='Buisiness_ID')

Output:

             Rating            
Buisiness_ID a1b1c2 a1b3 a2b3c2
USER_ID                        
abcde             3  NaN      3
afgh            NaN    1    NaN