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 Lazyroar = gfg.resize(( 1 , 4 )) print (Lazyroar) |
[[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 Lazyroar = gfg.resize(( 2 , 3 )) print (Lazyroar) |
[[1 2 4] [5 7 8]]