[Solved] Identify the issue in this code:from scipy.sparse import csr_matrix matrix = csr_matrix([[0, 0], [0, 0]]) print(matrix.data[0]) | SciPy

SciPy - Sparse Matrices (scipy.sparse)

Identify the issue in this code:

from scipy.sparse import csr_matrix

matrix = csr_matrix([[0, 0], [0, 0]])
print(matrix.data[0])

ASyntaxError due to invalid import

BIndexError because matrix.data is empty

CValueError because zeros cannot be stored

DNo error, prints 0

Step-by-Step Solution

Solution:

Step 1: Understand the matrix
The matrix contains only zeros, so csr_matrix stores no non-zero data.
Step 2: Check matrix.data
matrix.data is an empty array because there are no non-zero elements.
Step 3: Accessing matrix.data[0]
Accessing the first element causes an IndexError due to empty data.
Final Answer:
IndexError because matrix.data is empty -> Option B
Quick Check:
Empty data array causes index error [OK]

Quick Trick: Empty sparse matrix has empty data array [OK]

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Identify the issue in this code: