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Which of the following is the correct way to create a CSR matrix from a dense NumPy array arr using SciPy?

easy📝 Syntax Q12 of 15
SciPy - Sparse Matrices (scipy.sparse)
Which of the following is the correct way to create a CSR matrix from a dense NumPy array arr using SciPy?
Acsr_matrix.to_csr(arr)
Bcsr(arr)
Csparse.csr(arr)
Dcsr_matrix(arr)
Step-by-Step Solution
Solution:
  1. Step 1: Recall SciPy CSR matrix creation syntax

    The correct function to create a CSR matrix from a dense array is csr_matrix() from scipy.sparse.
  2. Step 2: Check each option

    csr_matrix(arr) uses the correct function name and syntax. Options B, C, and D are incorrect or invalid function calls.
  3. Final Answer:

    csr_matrix(arr) -> Option D
  4. Quick Check:

    Use csr_matrix() to convert dense to CSR [OK]
Quick Trick: Use csr_matrix() function from scipy.sparse [OK]
Common Mistakes:
MISTAKES
  • Using incorrect function names like csr() or sparse.csr()
  • Trying to call to_csr() method which doesn't exist
  • Confusing with other sparse formats like COO

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