Drop all duplicate rows across multiple columns in Python Pandas

Question

The pandas drop_duplicates function is great for \"uniquifying\" a dataframe. However, one of the keyword arguments to pass is take_last=True

Answer 1

Try these various things

df = pd.DataFrame({"A":["foo", "foo", "foo", "bar","foo"], "B":[0,1,1,1,1], "C":["A","A","B","A","A"]})

>>>df.drop_duplicates( "A" , keep='first')

or

>>>df.drop_duplicates( keep='first')

or

>>>df.drop_duplicates( keep='last')