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

SciPy - Sparse Matrices (scipy.sparse)

Identify the error in this code snippet:

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

AThe data and indices must be passed as a single tuple

Brow and col should be numpy arrays, not lists

Ccsr_matrix cannot be created from data and indices

DThe shape parameter is missing

Step-by-Step Solution

Solution:

Step 1: Check csr_matrix constructor usage
The constructor expects a single tuple (data, (row, col)) as the first argument.
Step 2: Analyze given code
Here, data and (row, col) are passed as separate arguments, causing an error.
Final Answer:
The data and indices must be passed as a single tuple -> Option A
Quick Check:
Constructor argument format = single tuple [OK]

Quick Trick: Pass data and indices together as one tuple to csr_matrix [OK]

Common Mistakes:

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