[python] Remove duplicates from dataframe, based on two columns A,B, keeping row with max value in another column C

I think groupby should work.

df.groupby(['A', 'B']).max()['C']

If you need a dataframe back you can chain the reset index call.

df.groupby(['A', 'B']).max()['C'].reset_index()

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