sanjay20m opened a new issue, #47607:
URL: https://github.com/apache/arrow/issues/47607
### Describe the bug, including details regarding any error messages,
version, and platform.
When converting Python integers to Arrow types, the current type inference
always defaults to int64. This causes an OverflowError when handling
integers
greater than 2**63 - 1.
Example:
data = [0, np.iinfo(np.uint64).max]
pa.array(data) # raises OverflowError
Expected:
Inference should detect values that fit into uint64 and select that type
instead of failing.
A proposed fix tracks min/max integer values during inference and chooses
the
smallest fitting signed/unsigned integer type.
pr link: https://github.com/apache/arrow/pull/47604
### Component(s)
Python
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
