[jira] [Updated] (ARROW-6625) [Python] Allow concat_tables to null or default fill missing columns

["Daniel Nugent (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-6625?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Daniel Nugent updated ARROW-6625:
---------------------------------
    Summary: [Python] Allow concat_tables to null or default fill missing columns  (was: Allow concat_tables to null or default fill missing columns)

> [Python] Allow concat_tables to null or default fill missing columns
> --------------------------------------------------------------------
>
>                 Key: ARROW-6625
>                 URL: https://issues.apache.org/jira/browse/ARROW-6625
>             Project: Apache Arrow
>          Issue Type: Wish
>          Components: Python
>            Reporter: Daniel Nugent
>            Priority: Minor
>
> The concat_tables function currently requires schemas to be identical across all tables to be concat'ed together. However, tables occasionally are conforming on type where present, but a column will be absent.
> In this case, allowing for null filling (or default filling) would be ideal.
> I imagine this feature would be an optional parameter on the concat_tables function. Presumably the argument could be either a boolean in the case of blanket null filling, or a mapping type for default filling. If a user wanted to default fill some columns, but null fill others, they could use a None as the value (defaultdict would make it simple to provide a blanket null fill if only a few default value columns were desired).
> If a mapping wasn't present, the function should probably raise an error.
> The default behavior would be the current and thus the default value of the parameter should be False or None.



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