[
https://issues.apache.org/jira/browse/ARROW-17933?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Alenka Frim updated ARROW-17933:
--------------------------------
Description:
Using pyarrow, SparseCOOTensor generates an error when created with zero
elements. SparseCSCMatrix and SparseCSRMatrix work fine.
Example:
{code:java}
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
{code}
was:
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
```
> SparseCOOTensor raises error when created with zero elements
> ------------------------------------------------------------
>
> Key: ARROW-17933
> URL: https://issues.apache.org/jira/browse/ARROW-17933
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 9.0.0
> Environment: Ubuntu 22, Python 3.10, Pyarrow 9.0.0
> Reporter: Bruce Martin
> Priority: Major
>
> Using pyarrow, SparseCOOTensor generates an error when created with zero
> elements. SparseCSCMatrix and SparseCSRMatrix work fine.
> Example:
> {code:java}
> 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
> {code}
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