[jira] [Commented] (ARROW-6043) [Python] Array equals returns incorrectly if NaNs are in arrays

["Jonathan Keane (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/ARROW-6043?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17382348#comment-17382348 ] 

Jonathan Keane commented on ARROW-6043:
---------------------------------------

This has also come up in a slightly different context (comparing {{NaN}}s to non-missing values) and I made ARROW-13364, though depending on how this ticket is resolved they might go together.

> [Python] Array equals returns incorrectly if NaNs are in arrays
> ---------------------------------------------------------------
>
>                 Key: ARROW-6043
>                 URL: https://issues.apache.org/jira/browse/ARROW-6043
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 0.14.1
>            Reporter: Keith Kraus
>            Assignee: Krisztian Szucs
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 6.0.0
>
>          Time Spent: 1h 10m
>  Remaining Estimate: 0h
>
> {code:python}
> import numpy as np
> import pyarrow as pa
> data = [0, 1, np.nan, None, 4]
> arr1 = pa.array(data)
> arr2 = pa.array(data)
> pa.Array.equals(arr1, arr2)
> {code}
> Unsure if this is expected behavior, but in Arrow 0.12.1 this returned `True` as compared to `False` in 0.14.1.



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