[Solved] Identify the error in this code snippet:from scipy.sparse import coo_matrix row = [0, 1] col = [1, 2] data = [3, 4, 5] sparse = coo_matrix((data, (row, col))) | SciPy

SciPy - Sparse Matrices (scipy.sparse)

Identify the error in this code snippet:

from scipy.sparse import coo_matrix
row = [0, 1]
col = [1, 2]
data = [3, 4, 5]
sparse = coo_matrix((data, (row, col)))

Acoo_matrix requires dense matrix input, not tuples

BLength of data does not match length of row and col arrays

Crow and col arrays must be numpy arrays, not lists

DMissing shape parameter in coo_matrix constructor

Step-by-Step Solution

Solution:

Step 1: Check input lengths
coo_matrix expects data, row, and col arrays to have the same length.
Step 2: Compare lengths
data has length 3, but row and col have length 2 each, causing mismatch.
Final Answer:
Length of data does not match length of row and col arrays -> Option B
Quick Check:
Lengths must be equal for COO format [OK]

Quick Trick: Data, row, col arrays must be same length [OK]

Common Mistakes:

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