Python | Numpy matrix.resize()

Last Updated : 18 Apr, 2019

With the help of Numpy matrix.resize() method, we are able to resize the shape of the given matrix. Remember all elements should be covered after resizing the given matrix.

Syntax : matrix.resize(shape) Return: new resized matrix

Example #1 : In the given example we are able to resize the given matrix by using matrix.resize() method.

Python3 1=1

# import the important module in python
import numpy as np
         
# make matrix with numpy
gfg = np.matrix('[64, 1; 12, 3]')
         
# applying matrix.resize() method
geeks = gfg.resize((1, 4))
   
print(geeks)

Output:

[[64  1 12  3]]

Example #2 :

Python3 1=1

# import the important module in python
import numpy as np
         
# make a matrix with numpy
gfg = np.matrix('[1, 2; 4, 5; 7, 8]')
         
# applying matrix.resize() method
geeks = gfg.resize((2, 3))
   
print(geeks)