arkouda.sparsematrix

Functions

random_sparse_matrix(→ arkouda.sparrayclass.sparray)	Create a random sparse matrix with the specified number of rows and columns
sparse_matrix_matrix_mult(→ arkouda.sparrayclass.sparray)	Multiply two sparse matrices.

Module Contents

arkouda.sparsematrix.random_sparse_matrix(size: int, density: float, layout: str) → arkouda.sparrayclass.sparray

Create a random sparse matrix with the specified number of rows and columns and the specified density. The density is the fraction of non-zero elements in the matrix. The non-zero elements are uniformly distributed random numbers in the range [0,1).

Parameters:

• size (int) – The number of rows in the matrix, columns are equal to rows right now

• density (float) – The fraction of non-zero elements in the matrix

• dtype (Union[DTypes, str]) – The dtype of the elements in the matrix

Returns:

A sparse matrix with the specified number of rows and columns and the specified density

Return type:

sparray

Raises:

ValueError – Raised if density is not in the range [0,1]

arkouda.sparsematrix.sparse_matrix_matrix_mult(A, B: arkouda.sparrayclass.sparray) → arkouda.sparrayclass.sparray

Multiply two sparse matrices.

Parameters:

• A (sparray) – The left-hand sparse matrix

• B (sparray) – The right-hand sparse matrix

Returns:

The product of the two sparse matrices

Return type:

sparray