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I want to combine those dataframe as follows
output_df = temp_df.drop_duplicates(subset=[“id1″,”id2”], keep=’last’, inplace=True)
output_df.loc[pd.Index(output_df[‘id1’],output_df[‘id2′]),’id3’] = “TEST2”
output_df.loc[pd.Index(output_df[‘id1’],output_df[‘id2′]),’id3’] = “TEST2”
output_df.loc[pd.Index(output_df[‘id1’],output_df[‘id2′]),’id3’] = “TEST2”
output_df = output_df[[‘id3′,’id4’]]
output_df.to_csv(‘./output_data.csv’,sep=’,’, index=False, header=False)

The output should be as follows, but my output is not as expected.

A:

I think you need double drop_duplicates with DataFrame.drop_duplicates and then combine it to single DataFrame by add and fillna:
df = output_df.drop_duplicates(subset=[“id1″,”id2″], keep=’last’).add(output_df, fill_value=”).reset_index(drop=True)

Or:
df = pd.concat([output_df.drop_duplicates(subset=[“id1″,”id2″], keep=’last’).add(output_df, fill_value=”), output_df], axis=1).reset_index(drop=True)
print (df)
id3 id4 id1 id2
0 TEST1 TEST2 TEST1 TEST2
1
82138339de

 

 

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