Which of the following is the correct way to create a COO sparse matrix from data arrays data, row, and col using scipy?

easy📝 Syntax Q12 of 15

SciPy - Sparse Matrices (scipy.sparse)

Which of the following is the correct way to create a COO sparse matrix from data arrays data, row, and col using scipy?

Acoo_matrix((data, (row, col)))

Bcoo_matrix(data, row, col)

Ccoo_matrix(data, (row, col))

Dcoo_matrix((row, col), data)

Step-by-Step Solution

Solution:

Step 1: Recall scipy coo_matrix syntax and check each option
The correct syntax is coo_matrix((data, (row, col))) where data is values and (row, col) are coordinates. Only coo_matrix((data, (row, col))) matches the correct tuple structure required by coo_matrix.
Final Answer:
coo_matrix((data, (row, col))) -> Option A
Quick Check:
Tuple of (data, (row, col)) is correct [OK]

Quick Trick: Use tuple: (data, (row, col)) for coo_matrix [OK]

Common Mistakes:

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