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

SciPy - Sparse Matrices (scipy.sparse)

Identify the issue in this code snippet:

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

ALength of 'col' does not match length of 'data' and 'row'

BMissing shape parameter in coo_matrix()

CData values contain invalid types

DRow indices are out of bounds

Step-by-Step Solution

Solution:

Step 1: Check array lengths
In COO format, data, row, and col arrays must be the same length.
Step 2: Identify mismatch
Here, 'col' has length 2, but 'row' and 'data' have length 3, causing an error.
Final Answer:
Length of 'col' does not match length of 'data' and 'row' -> Option A
Quick Check:
All input arrays must have equal length [OK]

Quick Trick: Check that data, row, col arrays have equal length [OK]

Common Mistakes:

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