scipy.sparse.rand¶
- 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.
Parameters: 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.
Notes
Only float types are supported for now.