How to efficiently mix groups of columns in a pandas dataframe?

Question

I have one dataframe in Python :

Winner_height	Winner_rank	Loser_height	Loser_rank
183	15	185	32
195	42	178	12

And I would like to get a mixed database keeping the information about both players and a field that allows me to identify the winner (0 if it is player 1, 1 if it is player 2), as below :

Player_1_height	Player_1_rank	Player_2_height	Player_2_rank	Winner
183	15	185	32	0
178	12	195	42	1

Is there an efficient way to mix groups of columns with pandas, i.e. without drawing a random number for each row and creating a duplicate database?

Thanks in advance