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Posted to issues@arrow.apache.org by "mariosasko (via GitHub)" <gi...@apache.org> on 2023/07/06 23:08:41 UTC

[GitHub] [arrow] mariosasko opened a new issue, #36520: [Python] `pa.array` fails for values larger than the default type range when no type is specified

mariosasko opened a new issue, #36520:
URL: https://github.com/apache/arrow/issues/36520

   ### Describe the bug, including details regarding any error messages, version, and platform.
   
   E.g., I would expect the following to work:
   ```python
   pa.array([2**64-1]) # OverflowError: Python int too large to convert to C long
   ```
   But it doesn't unless `type=pa.uint64()` is specified. This is not aligned with NumPy/Pandas - both infer `dtype=np.uint64` for this array.
   
   
   ### Component(s)
   
   Python


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[GitHub] [arrow] jorisvandenbossche commented on issue #36520: [Python] `pa.array` fails for values larger than the default type range when no type is specified

Posted by "jorisvandenbossche (via GitHub)" <gi...@apache.org>.
jorisvandenbossche commented on issue #36520:
URL: https://github.com/apache/arrow/issues/36520#issuecomment-1634237219

   Given the comments on the PR:
   
   > Again, the problem is that the user will get different data types depending on the exact input values. This is fragile and error-prone.
   If you know you need uint64, the solution is to ask explicitly for it.
   
   I think we can close this issue as "won't fix" (and duplicate of https://github.com/apache/arrow/issues/19334)


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[GitHub] [arrow] jorisvandenbossche closed issue #36520: [Python] `pa.array` fails for values larger than the default type range when no type is specified

Posted by "jorisvandenbossche (via GitHub)" <gi...@apache.org>.
jorisvandenbossche closed issue #36520: [Python] `pa.array` fails for values larger than the default type range when no type is specified
URL: https://github.com/apache/arrow/issues/36520


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