rand(m, n, density=0.01, format='coo', dtype=None, random_state=None)
Only float types are supported for now.
shape of the matrix
density of the generated matrix: density equal to one means a full matrix, density of 0 means a matrix with no non-zero items.
sparse matrix format.
type of the returned matrix values.
numpy.random.RandomState}, optional
If seed is None (or np.random), the numpy.random.RandomState singleton is used. If seed is an int, a new RandomState instance is used, seeded with seed. If seed is already a Generator or RandomState instance then that instance is used.
Generate a sparse matrix of the given shape and density with uniformly distributed values.
scipy.sparse.random
from scipy.sparse import rand
matrix = rand(3, 4, density=0.25, format="csr", random_state=42)
matrix
matrix.toarray()
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