# Python | Numpy matrix.partition ()

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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]] `

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