SciPy - Sparse Matrices (scipy.sparse)
How can you convert a SciPy sparse matrix to a dense NumPy array safely without losing data?
How can you convert a SciPy sparse matrix to a dense NumPy array safely without losing data?
hard📝 Application Q9 of 15
Step-by-Step Solution
Solution:
Step 1: Know conversion methods
Sparse matrices have .toarray() and .todense() methods to convert to dense arrays.Step 2: Choose safest method
.toarray() returns a NumPy ndarray, which is standard and safe; .todense() returns a matrix subclass which is less common.Final Answer:
Use the .toarray() method -> Option DQuick Check:
Safe dense conversion = toarray() [OK]
Quick Trick: Use .toarray() to get dense NumPy array from sparse [OK]
Common Mistakes:
MISTAKES- Using .todense() which returns matrix subclass
- Trying numpy.array() directly on sparse matrix
- Assuming .to_numpy() exists
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