从两个数据帧中获取差异

Question

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

Answer 1

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))]