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  1. Apache Arrow
  2. ARROW-17933

SparseCOOTensor raises error when created with zero elements

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Details

    • Bug
    • Status: In Progress
    • Major
    • Resolution: Unresolved
    • 9.0.0
    • None
    • Python
    • 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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              rokm Rok Mihevc
              bkmartin Bruce Martin
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