[GitHub] [arrow] rohanjain101 commented on issue #34901: Inconsistent cast behavior between array and scalar for int64

["rohanjain101 (via GitHub)" <gi...@apache.org>]

rohanjain101 commented on issue #34901:
URL: https://github.com/apache/arrow/issues/34901#issuecomment-1499544223

   @danepitkin thank you for the clarification. In numpy however, the cast succeeds, it seems as if full value is preserved:
   
   >>> np.array([18014398509481984]).astype("float64")
   array([1.80143985e+16])
   >>>
   
   Is their an internal difference in how double values are stored between arrow and numpy that would cause the difference?


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