[Solved] Identify the error in this code snippet:from scipy.sparse import csr_matrix import numpy as np arr = np.array([[1, 0], [0, 2]]) csr = csr_matrix(arr) print(csr.indptr[3]) | SciPy

SciPy - Sparse Matrices (scipy.sparse)

Identify the error in this code snippet:

from scipy.sparse import csr_matrix
import numpy as np
arr = np.array([[1, 0], [0, 2]])
csr = csr_matrix(arr)
print(csr.indptr[3])

AIndexError: index 3 is out of bounds for axis 0 with size 3

BAttributeError: 'csr_matrix' object has no attribute 'indptr'

CTypeError: 'indptr' is not subscriptable

DNo error, prints the value at indptr[3]

Step-by-Step Solution

Solution:

Step 1: Check indptr length for 2x2 matrix
indptr length = number of rows + 1 = 3, valid indices: 0,1,2
Step 2: Accessing indptr[3]
Index 3 is out of bounds, causing IndexError.
Final Answer:
IndexError: index 3 is out of bounds for axis 0 with size 3 -> Option A
Quick Check:
indptr length = rows+1; index 3 invalid [OK]

Quick Trick: indptr length = number of rows + 1; index out of range causes error [OK]

Common Mistakes:

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