python: remove duplicate in a specific column
df = df.drop_duplicates(subset=['Column1', 'Column2'], keep='first')
python: remove duplicate in a specific column
df = df.drop_duplicates(subset=['Column1', 'Column2'], keep='first')
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)
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