[Solved] Find the bug in this code:from scipy.sparse import csr_matrix csr = csr_matrix(([1, 2], [0, 1], [0, 1])) print(csr.shape) | SciPy

SciPy - Sparse Matrices (scipy.sparse)

Find the bug in this code:

from scipy.sparse import csr_matrix
csr = csr_matrix(([1, 2], [0, 1], [0, 1]))
print(csr.shape)

ATypeError because data is not a numpy array

BAttributeError: csr_matrix has no attribute 'shape'

CValueError due to incorrect indptr length

DNo error, prints (2, 2)

Step-by-Step Solution

Solution:

Step 1: Check indptr length
indptr length must be number of rows + 1; here length=3 means 2 rows.
Step 2: Check indptr values
indptr = [0,1] length 2 is invalid; should be length 3 for 2 rows.
Step 3: Identify error
Incorrect indptr length causes ValueError on csr_matrix creation.
Final Answer:
ValueError due to incorrect indptr length -> Option C
Quick Check:
indptr length must be rows+1 [OK]

Quick Trick: indptr length must be rows + 1; mismatch causes ValueError [OK]

Common Mistakes:

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