[python] Naming returned columns in Pandas aggregate function?

such as this kind of dataframe, there are two levels of thecolumn name:

 shop_id  item_id   date_block_num item_cnt_day       
                                  target              
0   0       30          1            31               

we can use this code:

df.columns = [col[0] if col[-1]=='' else col[-1] for col in df.columns.values]

result is:

 shop_id  item_id   date_block_num target              
0   0       30          1            31 

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