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Python | Numpy matrix.resize()

Last Updated : 18 Apr, 2019
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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.




# 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 :




# 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)


Output:

[[1 2 4]
 [5 7 8]]

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