mrkn commented on a change in pull request #7477:
URL: https://github.com/apache/arrow/pull/7477#discussion_r452605554
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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:
@rok Yes, if `is_canonical` is true, the indices matrix is sorted in
row-major order and doesn't have duplicates.
In other words, this flag has the same meaning as `has_canonical_format` of
`scipy.sparse.coo_matrix` but the order is row-major, instead of column-major.
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