Details
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Bug
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Status: Resolved
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Minor
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Resolution: Fixed
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0.13.0
Description
From the example in ARROW-5430:
In [16]: pa.array([14989096668145380166, 15869664087396458664], type=pa.uint64()) Out[16]: <pyarrow.lib.UInt64Array object at 0x7ff7c51bdf48> [ -3457647405564171450, -2577079986313092952 ]
I think the actual conversion is correct, and it's only the printer that is going wrong, as to_numpy gives the correct values:
In [17]: pa.array([14989096668145380166, 15869664087396458664], type=pa.uint64()).to_numpy() Out[17]: array([14989096668145380166, 15869664087396458664], dtype=uint64)
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