SciPy TutorialLesson 6Free preview

SciPy Sparse Data

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Summary

Sparse data is data that is mostly zero-valued, commonly found on large matrices such as grid charts or matrix coefficients of equations. SciPy provides scipy.sparse modules with formats such as CSR and CSC that only store non-zero elements. This approach suppresses memory usage and speeds up matrix operations.

Key points

Sparse matrices dominated by zero values
It provides CSR, CSC, and COO formats
Only non-zero elements are stored so memory is saved.
Operations like matrix multiplication can be much faster.

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