[Solved] What is the issue with this code snippet?import numpy as np from scipy.linalg import inv matrix = np.array([[1, 2, 3], [4, 5, 6]]) inverse = inv(matrix) print(inverse) | SciPy

SciPy - Linear Algebra (scipy.linalg)

What is the issue with this code snippet?

import numpy as np
from scipy.linalg import inv
matrix = np.array([[1, 2, 3], [4, 5, 6]])
inverse = inv(matrix)
print(inverse)

AThe import statement for inv is incorrect

BThe matrix is not square, so it cannot be inverted

CThe matrix contains non-numeric values

DThe print statement syntax is invalid

Step-by-Step Solution

Solution:

Step 1: Check matrix shape
The matrix is 2x3, which is not square.
Step 2: Understand inverse requirements
Only square matrices can have inverses.
Final Answer:
The matrix is not square, so it cannot be inverted -> Option B
Quick Check:
Verify matrix dimensions before inversion [OK]

Quick Trick: Only square matrices have inverses [OK]

Common Mistakes:

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What is the issue with this code snippet?