Answers for "pandas drop rows with repeated values in one column"

8

remove duplicate row in df

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

drop row with duplicate value

import pandas as pd
df = pd.DataFrame({"A":["foo", "foo", "foo", "bar"], "B":[0,1,1,1], "C":["A","A","B","A"]})
df.drop_duplicates(subset=['A', 'C'], keep=False)
Posted by: Guest on January-04-2020

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