[Solved] Which of the following is the correct way to create a COO sparse matrix using scipy? — Ans: scipy.sparse.coo_matrix((data, (row, col))) | SciPy

SciPy - Sparse Matrices (scipy.sparse)

Which of the following is the correct way to create a COO sparse matrix using scipy?

Ascipy.sparse.coo_matrix((data, (row, col)))

Bscipy.sparse.csr_matrix(data, row, col)

Cscipy.sparse.csc_matrix(data, row, col)

Dscipy.sparse.dense_matrix((data, (row, col)))

Step-by-Step Solution

Solution:

Step 1: Recall COO matrix creation syntax
COO format uses tuple (data, (row, col)) inside coo_matrix constructor.
Step 2: Check options
Only scipy.sparse.coo_matrix((data, (row, col))) matches the correct syntax for COO matrix creation.
Final Answer:
scipy.sparse.coo_matrix((data, (row, col))) -> Option A
Quick Check:
COO matrix = coo_matrix((data, (row, col))) [OK]

Quick Trick: COO matrix needs (data, (row, col)) tuple [OK]

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Which of the following is the correct way to create a COO sparse matrix using scipy?