Calculating the 3-norm of a matrix in Python

Question

I'm trying to calculate the 3-norm of the matrix y here but I keep getting an error that says

ValueError: Invalid norm order for matrices.

This is the code that I tried

    y = np.random.rand(5,1)
    print(y)
    p = 3
    ly = npla.norm(y,p)
    print('ly =',ly,)

I'm not sure how to go about calculating the 3-norm here so any help would be appreciated

Answer 1

You need to specify axis=0 in the norm method since you have a 5x1 matrix and you want to calculate the norm over column 1.

If you would have just a python list, it would be okay without.

Cheers!

Answer 2

As seen in the norm documentation the standard inputs does not include order=3.

As stated in the post previous you need to add an axis parameter where x=0.

try:

np.linalg.norm(yourMatrix,3,axis=0)