Right now, I am running a sum and sort on a DataFrame object:
games_tags.groupby(['GameID', 'GameName', 'Tag']).sum().sort(['Count'], ascending=False)
The issue I'm running into is that afterwards, I want to be able to still grab each row's GameID, GameName, and Tag via row['GameID'], etc. However, I noticed that after I use the sum() method, it creates a column named 'Count', but I can no longer access any of the original columns.
I was wondering if anyone knows a work around or some intricacy to the sum() method that I am missing. Any help is appreciated. Thanks!
