What is Sparse data how does it works in Scipy explain CSR matrix with example

This recipe explains what is Sparse data how does it works in Scipy explain CSR matrix with example

Recipe Objective - What is Sparse data how does it works in Scipy, explain CSR matrix with example?

The data that has mostly unused data is called sparse data.

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Working with Sparse data.

To deal with the sparse data scipy has a module, "scipy.sparse"

Types of Sparse data.

There are primarily two types of sparse matrices.

CSC - Compressed Sparse Column.

CSR - Compressed Sparse Row.

CSR Matrix.

To create a CSR matrix. We can pass an array into function "scipy.sparse.csr_matrix()"

import numpy as np
from scipy.sparse import csr_matrix

arr = np.array([0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 1])

print(csr_matrix(arr))

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