I have a dataframe which is something like this
Victim Sex Female Male Unknown
Female 10850 37618 24
Male 99354 299781 92
Unknown 33068 156545 148
I'm planning to drop both the row indexed as 'Unknown' and the column named 'Unknown'. I know how to drop a row and a column but I was wondering whether you could drop a row and a column at the same time in pandas? If yes, how could it be done?