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keep only duplicates pandas multiple columns

df[df.duplicated(['col1', 'col2', 'col3'], keep=False)]
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keep only one duplicate in pandas

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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