Python: Pandas compare two dataframes and get the different rows

Question

compare two dataframes and get the different rows

have two df's

name    password   login_id
tom      1234         1
matt     4567         2
george   7469         
stuart                3

name    password   login_id
tom      1234         1
matt     7859         2
george   7469         5
stuart   4682         3

Need to get the changed value complete rows

expected output 

name    password   login_id
matt     7859         2
george   7469         5
stuart   4682         3

Need to get only rows which has changed in second df

Answer 1

You can use df.ne after setting name as the index in both the dataframes and use df.any over axis 1.

mask = df.set_index('name').ne(df1.set_index('name')).any(1).tolist()
df1[mask]
     name  password  login_id
1    matt      7859         2
2  george      7469         5
3  stuart      4682         3

Answer 2

You can try merge with indicator

df2.merge(df1,how='left',indicator=True).loc[lambda x : x['_merge']=='left_only']
     name  password  login_id     _merge
1    matt      7859         2  left_only
2  george      7469         5  left_only
3  stuart      4682         3  left_only