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Alex Rivera
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How do I raise a scipy.sparse matrix to a power, element-wise? numpy.power should, according to its manual , do this, but it fails on sparse matrices: >>> X <1353x32100 sparse matrix of type '<type 'numpy.float64'>' with 144875 stored elements in Compressed Sparse Row format> >>> np.power(X, 2) Traceback (most recent call last): File "<stdin>", line 1, in <module> File ".../scipy/sparse/base.py", line 347, in __pow__ raise TypeError('matrix is not square') TypeError: matrix is not square Same problem with X**2 . Converting to a dense array works, but wastes precious seconds. I've had the same problem with np.multiply , which I solved using the sparse matrix's multiply method, but there seems to be no pow method.
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