How to drop duplicates from a subset of rows in a pandas dataframe?

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00:00 Question
00:52 Accepted answer (Score 10)
01:09 Answer 2 (Score 5)
01:20 Thank you

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Full question
https://stackoverflow.com/questions/4893...

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Tags
#python #pandas

#avk47

ACCEPTED ANSWER

Score 11

You can sue pd.concat split the df by B

df=pd.concat([df.loc[df.B!=True],df.loc[df.B==True].drop_duplicates(['A'],keep='first')]).sort_index()
df

Out[1593]: 
    A     B  C
0  12  True  1
2   3   NaN  2
3   3   NaN  3

ANSWER 2

Score 5

df[df.B.ne(True) | ~df.A.duplicated()]

    A     B  C
0  12  True  1
2   3   NaN  2
3   3   NaN  3