scipy.sparse.rand(m, n, density=0.01, format='coo', dtype=None)

Generate a sparse matrix of the given shape and density with uniformely distributed values.

Parameters :

m, n: int :

shape of the matrix

density: real :

density of the generated matrix: density equal to one means a full matrix, density of 0 means a matrix with no non-zero items.

format: str :

sparse matrix format.

dtype: dtype :

type of the returned matrix values.


Only float types are supported for now.

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