Basic Slicing and Advanced Indexing in NumPy

Python | Numpy matrix.squeeze()

Last Updated : 20 May, 2019

With the help of matrix.squeeze() method, we are able to squeeze the size of a matrix by using the same method. But remember one thing we use this method on Nx1 size of matrix which gives out as 1xN matrix.

Syntax : matrix.squeeze() Return : Return a squeezed matrix

Example #1 : In this example we are able to squeeze the size of given matrix by using matrix.squeeze() method.

Python3 1=1

# import the important module in python
import numpy as np
           
# make matrix with numpy
gfg = np.matrix('[[4], [12]]')
           
# applying matrix.squeeze() method
gfg.squeeze()
 
print(gfg)

Output:

[[ 4 12]]

Example #2 :

Python3 1==

# import the important module in python
import numpy as np
           
# make matrix with numpy
gfg = np.matrix('[4, 1, 9; 12, 3, 1; 4, 5, 6]')
           
# applying matrix.squeeze() method
gfg.squeeze()
 
print(gfg)

Output:

[[ 4  1  9]
 [12  3  1]
 [ 4  5  6]]

Basic Slicing and Advanced Indexing in NumPy

Jitender_1998

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Python | Numpy matrix.squeeze()

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