Answers for "drop duplicates pandas python"

1

delete the entire row while remove duplicates with python'

result_df = df.drop_duplicates(subset=['Column1', 'Column2'], keep='first')
print(result_df)
Posted by: Guest on March-04-2022
11

remove duplicate row in df

df = df.drop_duplicates()
Posted by: Guest on August-19-2020
0

df index drop duplicates

df3 = df3[~df3.index.duplicated(keep='first')]
Posted by: Guest on January-28-2022
0

drop duplicates pandas considering lowercase

result_df = df.apply(lambda x: x.astype(str).str.lower()).drop_duplicates(subset=['Column1', 'Column2'], keep='first')

print(result_df)
  Column1   Column2 Column3
0   'cat'     'bat'   'xyz'
1   'toy'  'flower'   'abc'
Posted by: Guest on May-27-2020

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