I am wondering if there is any difference (advantage/disadvantage) of using .toarray() vs. .todense() on sparse NumPy arrays. E.g.,
import scipy as sp import numpy as np sparse_m = sp.sparse.bsr_matrix(np.array([[1,0,0,0,1], [1,0,0,0,1]])) %timeit sparse_m.toarray() 1000 loops, best of 3: 299 µs per loop %timeit sparse_m.todense() 1000 loops, best of 3: 305 µs per loop 1 Answer
toarray returns an ndarray; todense returns a matrix. If you want a matrix, use todense; otherwise, use toarray.
