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Posted to issues@arrow.apache.org by "Lawrence Chan (JIRA)" <ji...@apache.org> on 2018/03/09 20:39:00 UTC

[jira] [Created] (ARROW-2295) Add to_numpy functions

Lawrence Chan created ARROW-2295:
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             Summary: Add 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


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 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 indexes and whatnot of the `pandas.Series`.

 



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