[英]Python: modify a sparse array element
以下是Ipython屏幕的副本,其中“ Lp”是稀疏矩阵:
Lp
Out[198]:
<9x9 sparse matrix of type '<type 'numpy.float64'>'
with 63 stored elements (blocksize = 3x3) in Block Sparse Row format>
Lp[0,0]
Traceback (most recent call last):
File "<ipython-input-199-b843d0976d55>", line 1, in <module>
Lp[0,0]
File "C:\Users\chensy\Anaconda\lib\site-packages\scipy\sparse\bsr.py", line 299, in __getitem__
raise NotImplementedError
NotImplementedError
这是因为bsr_matrix不支持类似Lp [0,0]的索引,请尝试使用csr_matrix:
from scipy.sparse import csr_matrix
Lp = csr_matrix(Lp)
# do modifications
Lp[0,0] = -5.2
# switch back to bsr_matrix
Lp = bsr_matrix(Lp)
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