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

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


m, n : int

shape of the matrix

density : real, optional

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, optional

sparse matrix format.

dtype : dtype, optional

type of the returned matrix values.

random_state : {numpy.random.RandomState, int}, optional

Random number generator or random seed. If not given, the singleton numpy.random will be used.


Only float types are supported for now.

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