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https://issues.apache.org/jira/browse/ARROW-564?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Antoine Pitrou resolved ARROW-564.
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Resolution: Fixed
Fix Version/s: (was: 1.0.0)
0.10.0
Issue resolved by pull request 1931
[https://github.com/apache/arrow/pull/1931]
> [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
> Priority: Major
> Labels: beginner, pull-request-available
> Fix For: 0.10.0
>
> Time Spent: 2h 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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