You are viewing a plain text version of this content. The canonical link for it is here.
Posted to jira@arrow.apache.org by "Rok Mihevc (Jira)" <ji...@apache.org> on 2023/01/11 07:20:04 UTC

[jira] [Updated] (ARROW-2264) [Python] Efficiently serialize numpy arrays with dtype of unicode fixed length string

     [ https://issues.apache.org/jira/browse/ARROW-2264?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Rok Mihevc updated ARROW-2264:
------------------------------
    External issue URL: https://github.com/apache/arrow/issues/18222

> [Python] Efficiently serialize numpy arrays with dtype of unicode fixed length string
> -------------------------------------------------------------------------------------
>
>                 Key: ARROW-2264
>                 URL: https://issues.apache.org/jira/browse/ARROW-2264
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: Python
>    Affects Versions: 0.8.0
>            Reporter: Mitar
>            Assignee: Robert Nishihara
>            Priority: Major
>             Fix For: 0.10.0
>
>
> Looking at the numpy array serialization code it seems that if I have a dtype like "<U3" this will go through custom ndarray serializer and not through an efficient one.
> {{Example:}}{{>>> np.array(['aaa', 'bbb'])}}
> {{array(['aaa', 'bbb'], dtype='<U3')}}
> This should be able to work, no? It has fixed offsets and memory layout.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)