[Solved] Identify the error in this code snippet: import numpy as np from scipy.linalg import inv matrix = np.array([[1, 2, 3], [4, 5, 6]]) inverse_matrix = inv(matrix) print(inverse_matrix) | SciPy

SciPy - Linear Algebra (scipy.linalg)

Identify the error in this code snippet:

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

AMatrix is not square, so it cannot be inverted.

BMissing import statement for numpy.

CUsing inv instead of inv().

DMatrix contains integers instead of floats.

Step-by-Step Solution

Solution:

Step 1: Check matrix shape
The matrix has shape (2, 3), which is not square (rows ≠ columns).
Step 2: Understand inverse requirements
Only square matrices can have an inverse. Trying to invert a non-square matrix causes an error.
Final Answer:
Matrix is not square, so it cannot be inverted. -> Option A
Quick Check:
Non-square matrix = no inverse [OK]

Quick Trick: Only square matrices can be inverted [OK]

Common Mistakes:

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