mrkn commented on a change in pull request #7477:
URL: https://github.com/apache/arrow/pull/7477#discussion_r452834004
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File path: python/pyarrow/tensor.pxi
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@@ -270,8 +279,10 @@ shape: {0.shape}""".format(self)
&out_data, &out_coords))
data = PyObject_to_object(out_data)
coords = PyObject_to_object(out_coords)
- result = coo_matrix((data[:, 0], (coords[:, 0], coords[:, 1])),
- shape=self.shape)
+ row, col = coords[:, 0], coords[:, 1]
+ result = coo_matrix((data[:, 0], (row, col)), shape=self.shape)
+ if self.has_canonical_format:
+ result.sum_duplicates()
Review comment:
The `self` here is not an instance of `scipy.sparse.coo_matrix`, but it
is a `SparseCOOTensor`. So `self.has_canonical_format == True` means the index
of the `SparseCOOTensor`, that is `(row, col)` pair, is sorted in row-major
order. Then `result.sum_duplicates` do sort `(row, col)` in column-major order.
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