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Posted to issues@arrow.apache.org by "Antoine Pitrou (Jira)" <ji...@apache.org> on 2019/09/18 14:57:00 UTC

[jira] [Resolved] (ARROW-2295) [Python] Add Array.to_numpy functions

     [ https://issues.apache.org/jira/browse/ARROW-2295?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Antoine Pitrou resolved ARROW-2295.
-----------------------------------
    Resolution: Duplicate

> [Python] Add Array.to_numpy functions
> -------------------------------------
>
>                 Key: ARROW-2295
>                 URL: https://issues.apache.org/jira/browse/ARROW-2295
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: Python
>            Reporter: Lawrence Chan
>            Priority: Minor
>
> There are `to_pandas()` functions, but no `to_numpy()` functions. I'd like to propose that we include both.
> Also, `pyarrow.lib.Array.to_pandas()` returns a `numpy.ndarray`, which imho is very confusing :). I think it would be more intuitive for the `to_pandas()` functions to return `pandas.Series` and `pandas.DataFrame` objects, and the `to_numpy()` functions to return `numpy.ndarray` and either a ordered dict of `numpy.ndarray` or a structured `numpy.ndarray` depending on a flag, for example. The `to_pandas()` function is of course welcome to use the `to_numpy()` func to avoid the additional index and whatnot of the `pandas.Series`.
>  



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