[jira] [Commented] (ARROW-4324) [Python] Array dtype inference incorrect when created from list of mixed numpy scalars

["Wes McKinney (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/ARROW-4324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16779666#comment-16779666 ] 

Wes McKinney commented on ARROW-4324:
-------------------------------------

[~keith.j.kraus] are you able to submit a PR for this?

> [Python] Array dtype inference incorrect when created from list of mixed numpy scalars
> --------------------------------------------------------------------------------------
>
>                 Key: ARROW-4324
>                 URL: https://issues.apache.org/jira/browse/ARROW-4324
>             Project: Apache Arrow
>          Issue Type: Bug
>    Affects Versions: 0.11.1
>            Reporter: Keith Kraus
>            Priority: Minor
>             Fix For: 0.13.0
>
>
> Minimal reproducer:
> {code:python}
> import pyarrow as pa
> import numpy as np
> test_list = [np.dtype('int32').type(10), np.dtype('float32').type(0.5)]
> test_array = pa.array(test_list)
> # Expected
> # test_array
> # <pyarrow.lib.DoubleArray object at 0x7f009963bf48>
> # [
> #   10,
> #   0.5
> # ]
> # Got
> # test_array
> # <pyarrow.lib.Int32Array object at 0x7f009963bf48>
> # [
> #   10,
> #   0
> # ]
> {code}



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