human
Find a point such that sum of the Manhattan distances is minimized | Function to print the required points which minimizes the sum of Manhattan distances.
Sorting points in all dimension.
Output the required k points.
Driver code.
function call to print required points"
How can the above be solved in Python?

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Can you provide a code to find a point such that sum of the Manhattan distances is minimized and the other steps required?
assistant
#Here is code to find a point such that sum of the Manhattan distances is minimized and the other steps required.
 def minDistance ( n , k , point ) :
	for i in range ( k ) :
		point [ i ] . sort ( )
	for i in range ( k ) :
		print ( point [ i ] [ ( ( n + 1 ) // 2 ) - 1 ] , end = " ▁ " )
n = 4
k = 4
point = [ [ 1 , 5 , 2 , 4 ] , [ 6 , 2 , 0 , 6 ] , [ 9 , 5 , 1 , 3 ] , [ 6 , 7 , 5 , 9 ] ]
minDistance ( n , k , point )