Details
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Bug
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Status: In Progress
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Major
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Resolution: Unresolved
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9.0.0
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None
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Ubuntu 22, Python 3.10, Pyarrow 9.0.0
Description
Using pyarrow, SparseCOOTensor generates an error when created with zero elements. SparseCSCMatrix and SparseCSRMatrix work fine.
Example:
In [24]: pyarrow._version_
Out[24]: '9.0.0'
In [25]: pyarrow.SparseCSCMatrix.from_scipy(scipy.sparse.csc_matrix(numpy.zeros((2,4)), dtype=numpy.float32)).non_zero_length
Out[25]: 0
In [26]: pyarrow.SparseCSRMatrix.from_scipy(scipy.sparse.csr_matrix(numpy.zeros((2,4)), dtype=numpy.float32)).non_zero_length
Out[26]: 0
In [27]: pyarrow.SparseCOOTensor.from_scipy(scipy.sparse.coo_matrix(numpy.zeros((2,4)), dtype=numpy.float32)).non_zero_length
---------------------------------------------------------------------------
ArrowInvalid Traceback (most recent call last)
Cell In [27], line 1
----> 1 pyarrow.SparseCOOTensor.from_scipy(scipy.sparse.coo_matrix(numpy.zeros((2,4)), dtype=numpy.float32)).non_zero_length
File ~/venv/lib/python3.10/site-packages/pyarrow/tensor.pxi:400, in pyarrow.lib.SparseCOOTensor.from_scipy()
File ~/venv/lib/python3.10/site-packages/pyarrow/error.pxi:100, in pyarrow.lib.check_status()
ArrowInvalid: SparseCOOIndex indices must be contiguous
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