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SciPy Sparse Data


What is SciPy Sparse Data ?

SciPy's sparse module is used for working with sparse matrices, which are memory-efficient for storing large matrices with many zero elements.


Example:
python
                from scipy.sparse import csr_matrix

                # Creating a sparse matrix
                sparse_matrix = csr_matrix([[0, 0, 3], [4, 0, 0], [0, 2, 0]])

                print("Sparse Matrix:\n", sparse_matrix)
                print("Dense Matrix:\n", sparse_matrix.toarray())

            

Here, we create a sparse matrix using the Compressed Sparse Row (CSR) format and then convert it to a dense matrix for display.





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