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December 17, 2015 13:21
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>>> d.toarray() | |
array([[2, 1, 0, 0], | |
[0, 1, 1, 1]]) | |
>>> c.toarray() | |
array([[2, 1, 0, 0], | |
[0, 1, 1, 1]]) | |
>>> d | |
<2x4 sparse matrix of type '<type 'numpy.int64'>' | |
with 5 stored elements in Compressed Sparse Row format> | |
>>> c | |
<2x4 sparse matrix of type '<type 'numpy.int64'>' | |
with 6 stored elements in Compressed Sparse Row format> | |
>>> d.data | |
array([2, 1, 1, 1, 1]) | |
>>> d.indices | |
array([0, 1, 1, 2, 3]) | |
>>> d.indptr | |
array([0, 2, 5]) | |
>>> c.data | |
array([1, 1, 1, 1, 1, 1]) !!!!!! | |
>>> c.indices | |
array([0, 1, 0, 2, 3, 1], dtype=int32) | |
>>> c.indptr | |
array([0, 3, 6], dtype=int32) | |
>>> c.data = np.array([2, 1, 1, 1, 1, 1]) | |
>>> c.toarray() | |
array([[3, 1, 0, 0], | |
[0, 1, 1, 1]]) | |
>>> c.data=np.array([2,1,2,1,1,-1]) | |
>>> c.toarray() | |
array([[4, 1, 0, 0], | |
[0, -1, 1, 1]]) |
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