SciPy - Sparse Matrices (scipy.sparse)
You want to efficiently perform column slicing and matrix-vector multiplication on a large sparse dataset. Which scipy sparse format is most suitable?
You want to efficiently perform column slicing and matrix-vector multiplication on a large sparse dataset. Which scipy sparse format is most suitable?
hard📝 Application Q8 of 15
Step-by-Step Solution
Solution:
Step 1: Understand format strengths
CSC format is optimized for fast column slicing and efficient matrix-vector multiplication.Step 2: Compare formats
COO is good for constructing matrices, DOK and LIL are good for incremental construction but slower for arithmetic.Final Answer:
CSC (Compressed Sparse Column) format -> Option DQuick Check:
CSC excels at column operations [OK]
Quick Trick: Use CSC for fast column slicing and multiplication [OK]
Common Mistakes:
MISTAKES- Choosing COO for arithmetic operations
- Using LIL or DOK for large-scale computations
Master "Sparse Matrices (scipy.sparse)" in SciPy
Want More Practice?
15+ quiz questions · All difficulty levels · Free
Free Signup - Practice All QuestionsMore SciPy Quizzes