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https://issues.apache.org/jira/browse/ARROW-4324?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rok Mihevc updated ARROW-4324:
------------------------------
External issue URL: https://github.com/apache/arrow/issues/20895
> [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
> Components: Python
> Affects Versions: 0.11.1
> Reporter: Keith Kraus
> Assignee: Wes McKinney
> Priority: Minor
> Labels: pull-request-available
> Fix For: 0.14.0
>
> Time Spent: 1h 40m
> Remaining Estimate: 0h
>
> 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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