[Solved] What will be printed by this code?import numpy as np from scipy.sparse import csr_matrix arr = np.zeros((3,3)) arr[0,1] = 7 arr[2,2] = 4 sparse_mat = csr_matrix(arr) print(sparse_mat.data) | SciPy

SciPy - Sparse Matrices (scipy.sparse)

What will be printed by this code?

import numpy as np
from scipy.sparse import csr_matrix

arr = np.zeros((3,3))
arr[0,1] = 7
arr[2,2] = 4
sparse_mat = csr_matrix(arr)
print(sparse_mat.data)

A[0. 0. 0.]

B[0. 7. 4.]

C[7. 0. 4.]

D[7. 4.]

Step-by-Step Solution

Solution:

Step 1: Analyze the array
The array has zeros except at positions (0,1) with 7 and (2,2) with 4.
Step 2: csr_matrix stores only non-zero data
The sparse matrix's data attribute contains only non-zero values in row-major order.
Step 3: Output
Thus, sparse_mat.data will be [7. 4.]
Final Answer:
[7. 4.] -> Option D
Quick Check:
Only non-zero values printed [OK]

Quick Trick: csr_matrix.data shows only non-zero elements [OK]

Common Mistakes:

MISTAKES

Expecting zeros in data array
Confusing data with full matrix
Assuming data includes all elements

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What will be printed by this code?

Step 1: Analyze the array

Step 2: csr_matrix stores only non-zero data

Step 3: Output

Final Answer:

Quick Check:

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