Get the differences from two dataframes
You could use concat to combine them, and then use drop_duplicates to get the difference. For example:
concat([df1,df2]).drop_duplicates(keep=False)
EDIT:
To get just the one row, you can get the negation of everything common between the two dataframes by turning applying list to them and using .isin to find commonalities.
df1[~df1.apply(list,1).isin(df2.apply(list,1))]
I have the following dataframe:




country
coin




USA
coin1


USA
coin2


Mexico
coin3




Each coin is unique, and it can change the country. For example:




country
coin




USA
coin1


Mexico
coin2


Mexico
coin3




What I'm trying to find is a way to see which lines have changed. My desired output:




country
coin




Mexico
Coin2