[jira] [Updated] (ARROW-8314) [Python] Provide a method to select a subset of columns of a Table

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-8314?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated ARROW-8314:
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    Labels: pull-request-available  (was: )

> [Python] Provide a method to select a subset of columns of a Table
> ------------------------------------------------------------------
>
>                 Key: ARROW-8314
>                 URL: https://issues.apache.org/jira/browse/ARROW-8314
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: Python
>            Reporter: Joris Van den Bossche
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> I looked through the open issues and in our API, but didn't directly find something about selecting a subset of columns of a table.
> Assume you have a table like:
> {code}
> table = pa.table({'a': [1, 2], 'b': [.1, .2], 'c': ['a', 'b']})
> {code}
> You can select a single column with {{table.column('a')}} or {{table['a']}} to get a chunked array. You can add, append, remove and replace columns (with {{add_column}}, {{append_column}}, {{remove_column}}, {{set_column}}). 
> But an easy way to get a subset of the columns (without the manuall removing the ones you don't want one by one) doesn't seem possible. 
> I would propose something like:
> {code}
> table.select(['a', 'c'])
> {code}



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