python - Check if a row in one data frame exist in another data frame

Question

I have a data frame A like this:

And another data frame B which looks like this:

I want to add a column 'Exist' to data frame A so that if User and Movie both exist in data frame B then 'Exist' is True, otherwise it is False. So A should become like this:

question from:https://stackoverflow.com/questions/38855204/check-if-a-row-in-one-data-frame-exist-in-another-data-frame

Answer 1

You can use merge with parameter indicator, then remove column Rating and use numpy.where:

df = pd.merge(df1, df2, on=['User','Movie'], how='left', indicator='Exist')
df.drop('Rating', inplace=True, axis=1)
df['Exist'] = np.where(df.Exist == 'both', True, False)
print (df)
   User  Movie  Exist
0     1    333  False
1     1   1193   True
2     1      3  False
3     2    433  False
4     3     54   True
5     3    343  False
6     3     76   True