[jira] [Resolved] (SPARK-38082) Update minimum numpy version

["Dongjoon Hyun (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-38082?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun resolved SPARK-38082.
-----------------------------------
    Fix Version/s: 3.3.0
       Resolution: Fixed

Issue resolved by pull request 35398
[https://github.com/apache/spark/pull/35398]

> Update minimum numpy version
> ----------------------------
>
>                 Key: SPARK-38082
>                 URL: https://issues.apache.org/jira/browse/SPARK-38082
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib, PySpark
>    Affects Versions: 3.3.0
>            Reporter: Maciej Szymkiewicz
>            Assignee: Maciej Szymkiewicz
>            Priority: Major
>             Fix For: 3.3.0
>
>
> Currently, we use set numpy version in {{extras_require}} to be {{>=1.7}}.
> However, 1.7 has been released almost 9 years ago and since then some methods that we use have been deprecated in favor of new additions and  anew API ({{numpy.typing}}, that is of some interest to us, has been added.
> We should update minimum version requirement to one of the following
> - {{>=1.9.0}} ‒ this is minimum reasonable bound, that will allow us to replace deprecated {{tostring}} calls with {{tobytes}}.
> - {{>=1.15.0}} (released 2018-07-23) ‒ this is reasonable bound to match our minimum supported pandas version.
> - {{>=1.20.0}} (released 2021-01-30) ‒ to fully utilize numpy typing.
> The last one might be somewhat controversial, but 1.15 shouldn't require much discussion.



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