我想知道在稀疏的NumPy数组上使用.toarray()vs. 是否有任何差异(优点/缺点).todense().例如,
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
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