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drop duplicate rows pandas except nan

df[(~df.duplicated()) | (df['col'].isnull())]
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pandas remove duplicate rows least nan

# drop duplicate rows having the least null values
# (assuming 'col_1' is the column from which you want to remove the duplicates)

new_df = df.sort_values(by=list(df.columns), na_position='last').drop_duplicates('col_1', keep='first')
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