Drop all duplicate rows across multiple columns in Python Pandas
drop_duplicates function is great for “uniquifying” a dataframe. However, one of the keyword arguments to pass is
take_last=False, while I would like to drop all rows which are duplicates across a subset of columns. Is this possible?