# import library
import numpy as np
 
# initialize vector
vec = np.arange(10)
 
# compute norm of vector
vec_norm = np.linalg.norm(vec)
 
print("Vector norm:")
print(vec_norm)

Vector norm:
16.881943016134134

# import library
import numpy as np
 
# initialize matrix
mat = np.array([[ 1, 2, 3],
               [4, 5, 6]])
 
# compute norm of matrix
mat_norm = np.linalg.norm(mat)
 
print("Matrix norm:")
print(mat_norm)

Matrix norm:
9.539392014169456

# import library
import numpy as np
 
 
mat = np.array([[ 1, 2, 3],
               [4, 5, 6]])
 
# compute matrix num along axis
mat_norm = np.linalg.norm(mat, axis = 1)
 
print("Matrix norm along particular axis :")
print(mat_norm)

Matrix norm along particular axis :
[3.74165739 8.77496439]

# import library
import numpy as np
 
# initialize vector
vec = np.arange(9)
 
# convert vector into matrix
mat = vec.reshape((3, 3))
 
# compute norm of vector
vec_norm = np.linalg.norm(vec)
 
print("Vector norm:")
print(vec_norm)
 
# computer norm of matrix
mat_norm = np.linalg.norm(mat)
 
print("Matrix norm:")
print(mat_norm)

Vector norm:
14.2828568570857
Matrix norm:
14.2828568570857