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Posted to issues@beam.apache.org by "Beam JIRA Bot (Jira)" <ji...@apache.org> on 2021/03/14 17:19:00 UTC

[jira] [Commented] (BEAM-11627) Properly support `convert_dtype=True` in Series.apply

    [ https://issues.apache.org/jira/browse/BEAM-11627?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17301224#comment-17301224 ] 

Beam JIRA Bot commented on BEAM-11627:
--------------------------------------

This issue is P2 but has been unassigned without any comment for 60 days so it has been labeled "stale-P2". If this issue is still affecting you, we care! Please comment and remove the label. Otherwise, in 14 days the issue will be moved to P3.

Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed explanation of what these priorities mean.


> Properly support `convert_dtype=True` in Series.apply
> -----------------------------------------------------
>
>                 Key: BEAM-11627
>                 URL: https://issues.apache.org/jira/browse/BEAM-11627
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-py-core
>            Reporter: Brian Hulette
>            Priority: P2
>              Labels: dataframe-api, stale-P2
>
> See https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.apply.html
> convert_dtype=True indicates that pandas should observe the output and set the dtype to something other than object if possible. We should intercept this argument and use type inference to set the dtype. We can't rely on pandas' inference since our implementation can't observe the entire dataset. 



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