[Solved] What is wrong with this code?from scipy.sparse import csr_matrix import numpy as np row = np.array([0, 1, 2]) col = np.array([0, 1]) data = np.array([1, 2, 3]) sparse = csr_matrix((data, (row, col))) | SciPy

SciPy - Sparse Matrices (scipy.sparse)

What is wrong with this code?

from scipy.sparse import csr_matrix
import numpy as np
row = np.array([0, 1, 2])
col = np.array([0, 1])
data = np.array([1, 2, 3])
sparse = csr_matrix((data, (row, col)))

AMissing shape parameter causes error

Bcsr_matrix requires dense arrays, not sparse

Cdata array must be integers only

Drow and col arrays have different lengths than data array

Step-by-Step Solution

Solution:

Step 1: Check lengths of arrays
row has length 3, col has length 2, data has length 3; lengths must match.
Step 2: Identify mismatch
Mismatch between col length and data length causes error.
Final Answer:
row and col arrays have different lengths than data array -> Option D
Quick Check:
Indices and data lengths must match [OK]

Quick Trick: Ensure row, col, and data arrays have equal lengths [OK]

Common Mistakes:

MISTAKES

Ignoring length mismatch between indices and data
Assuming shape parameter is mandatory

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What is wrong with this code?

Step 1: Check lengths of arrays

Step 2: Identify mismatch

Final Answer:

Quick Check:

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