I am trying load a sparse array that I have previously saved. Saving the sparse array was easy enough. Trying to read it though is a pain. scipy.load returns a 0d array around my sparse array.

import scipy as sp
A = sp.load("my_array"); A
array(<325729x325729 sparse matrix of type '<type 'numpy.int8'>'
with 1497134 stored elements in Compressed Sparse Row format>, dtype=object)

In order to get a sparse matrix I have to flatten the 0d array, or use sp.asarray(A). This seems like a really hard way to do things. Is Scipy smart enough to understand that it has loaded a sparse array? Is there a better way to load a sparse array?

python scipy sparse-array
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