[jira] [Updated] (ARROW-564) [Python] Add methods to return vanilla NumPy arrays (plus boolean mask array if there are nulls)

["Rok Mihevc (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-564?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Rok Mihevc updated ARROW-564:
-----------------------------
    External issue URL: https://github.com/apache/arrow/issues/16200

> [Python] Add methods to return vanilla NumPy arrays (plus boolean mask array if there are nulls)
> ------------------------------------------------------------------------------------------------
>
>                 Key: ARROW-564
>                 URL: https://issues.apache.org/jira/browse/ARROW-564
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: Python
>            Reporter: Wes McKinney
>            Assignee: Florian Rathgeber
>            Priority: Major
>              Labels: beginner, pull-request-available
>             Fix For: 0.10.0
>
>          Time Spent: 3h 20m
>  Remaining Estimate: 0h
>
> At the moment, for {{pyarrow.Array}} instances, we have a method called {{to_pandas}}. While this method returns NumPy Arrays, it returns them in the form that Pandas would use them in its {{Series}}. The difference here is visible for example in the case of integers with null values. For Pandas, we convert it into a float array and set all entries to NaN where we have null entries in the Arrow array. For vanilla NumPy arrays, we would return a tuple of a valid bytemap (not bitmap!) and a values array. The values array in this case should simply be a view on the underlying Arrow buffer.



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