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Posted to issues@arrow.apache.org by "Antoine Pitrou (JIRA)" <ji...@apache.org> on 2019/02/11 18:28:00 UTC

[jira] [Assigned] (ARROW-4457) [Python] Cannot create Decimal128 array using integers

     [ https://issues.apache.org/jira/browse/ARROW-4457?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Antoine Pitrou reassigned ARROW-4457:
-------------------------------------

    Assignee: Antoine Pitrou

> [Python] Cannot create Decimal128 array using integers
> ------------------------------------------------------
>
>                 Key: ARROW-4457
>                 URL: https://issues.apache.org/jira/browse/ARROW-4457
>             Project: Apache Arrow
>          Issue Type: Bug
>    Affects Versions: 0.11.0, 0.11.1, 0.12.0
>         Environment: Python: 2.7.15 and 3.7.2
> pyarrow: tested on 0.11.0, 0.11.1, 0.12.0
>            Reporter: Diego Argueta
>            Assignee: Antoine Pitrou
>            Priority: Major
>             Fix For: 0.13.0
>
>
> There appears to have been a regression introduced in 0.11.0 such that we can no longer create a {{Decimal128}} array using integers.
> To reproduce:
> {code:python}
> import pyarrow
> column = pyarrow.decimal128(16, 4)
> array = pyarrow.array([1], column)
> {code}
> Expected result: Behavior same as 0.10.0 and earlier; a {{Decimal128}} array would be created with no problems.
> Actual result: an exception is thrown.
> {code}
> Traceback (most recent call last):
>   File "<stdin>", line 1, in <module>
>   File "pyarrow/array.pxi", line 175, in pyarrow.lib.array
>     return _sequence_to_array(obj, mask, size, type, pool, from_pandas)
>   File "pyarrow/array.pxi", line 36, in pyarrow.lib._sequence_to_array
>     check_status(ConvertPySequence(sequence, mask, options, &out))
>   File "pyarrow/error.pxi", line 81, in pyarrow.lib.check_status
>     raise ArrowInvalid(message)
> ArrowInvalid: Could not convert 1 with type int: converting to Decimal128
> Could not convert 1 with type int: converting to Decimal128
> {code}
> The crash doesn't occur if we use a {{decimal.Decimal}} object instead.



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