Pandas Data Reconcilation
Try DataFrame.duplicated and DataFrame.drop_duplicates
I need to reconcile two separate dataframes.  Each row within the two dataframes has a unique id that I am using to match the two dataframes.  Without using a loop, how can I reconcile one dataframe against another and vice-versa?  
I tried merging the two dataframes on an index (unique id) but the problem I run into when I do this is when there are duplicate rows of data.  Is there a way to identify duplicate rows of data and put that data into an array or export it to a CSV?
Your help is much appreciated.  Thanks.