SciPy - Sparse Matrices (scipy.sparse)
Given a dense numpy array, how can you create a COO sparse matrix and then convert it to CSR format efficiently?
Given a dense numpy array, how can you create a COO sparse matrix and then convert it to CSR format efficiently?
hard📝 Application Q9 of 15
Step-by-Step Solution
Solution:
Step 1: Create COO matrix from dense array
coo_matrix can directly take a dense numpy array to create a COO sparse matrix.Step 2: Convert COO to CSR format
Calling .tocsr() on the COO matrix converts it efficiently to CSR format.Final Answer:
Use coo_matrix(dense_array) then call .tocsr() -> Option AQuick Check:
COO from dense, then .tocsr() conversion [OK]
Quick Trick: Create COO then convert to CSR with .tocsr() [OK]
Common Mistakes:
MISTAKES- Starting with csr_matrix then converting to COO
- Using DOK or LIL for dense arrays
- Calling wrong conversion methods
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