Python | Numpy matrix.partition ()



With the Numpy matrix.partition () method we can split the matrix in such a way that the index value we pass sorts the matrix like all values ​​smaller than this value moved to the left, and others with the matrix.partition () method.

Syntax: matrix .partition (index)

Return: Return partitioned matrix

Example # 1:
In this example, we see that we can split a given matrix using the matrix.partition () method.

Exit:

 [[1 3 12 64]] 

Example # 2:

# import important module in python

import numpy as np

 
# make a matrix with NumPy < / p>

gfg = np.matrix ( `[64, 1, 12, 3]` )

 
# using the matrix.partition () method

gfg.partition ( 3 )

 

print (gfg)

# import an important module into python

import numpy as np

 
# make a matrix with NumPy

gfg = np.matrix ( `[11, 29, 3, 44, 25, 16, 71, 8, 19]` )

 
# using the matrix.partition () method

gfg.partition ( 3 )

 

print (gfg)

Exit:

 [[3 8 11 16 19 25 29 44 71]]