[Solved] What is wrong with this code snippet?import numpy as np from scipy.linalg import eig A = np.array([[0, 1], [-2, -3]]) vals, vecs = eig(A) print(vecs[0]) | SciPy

SciPy - Linear Algebra (scipy.linalg)

What is wrong with this code snippet?

import numpy as np
from scipy.linalg import eig
A = np.array([[0, 1], [-2, -3]])
vals, vecs = eig(A)
print(vecs[0])

AMatrix A is not square

Beig does not return eigenvectors

Cvecs[0] returns the first row, but eigenvectors are columns

Deig requires real matrices only

Step-by-Step Solution

Solution:

Step 1: Understand eigenvectors matrix format
Eigenvectors are columns of the returned matrix, not rows.
Step 2: Identify indexing mistake
Accessing vecs[0] returns the first row, not the first eigenvector.
Final Answer:
vecs[0] returns the first row, but eigenvectors are columns -> Option C
Quick Check:
Eigenvectors are columns in vecs matrix [OK]

Quick Trick: Eigenvectors are columns; index columns, not rows [OK]

Common Mistakes:

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What is wrong with this code snippet?