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Posted to issues@arrow.apache.org by "Antoine Pitrou (Jira)" <ji...@apache.org> on 2019/11/05 13:22:00 UTC

[jira] [Resolved] (ARROW-7022) [Python] __arrow_array__ does not work for ExtensionTypes in Table.from_pandas

     [ https://issues.apache.org/jira/browse/ARROW-7022?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Antoine Pitrou resolved ARROW-7022.
-----------------------------------
    Resolution: Fixed

Issue resolved by pull request 5753
[https://github.com/apache/arrow/pull/5753]

> [Python] __arrow_array__ does not work for ExtensionTypes in Table.from_pandas
> ------------------------------------------------------------------------------
>
>                 Key: ARROW-7022
>                 URL: https://issues.apache.org/jira/browse/ARROW-7022
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>            Reporter: Joris Van den Bossche
>            Assignee: Joris Van den Bossche
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.0.0
>
>          Time Spent: 40m
>  Remaining Estimate: 0h
>
> When someone has a custom ExtensionType defined in Python, and an array class that gets converted to that (through {{\_\_arrow_array\_\_}}), the conversion in pyarrow works with the array class, but not yet for the array stored in a pandas DataFrame.
> Eg using my definition of ArrowPeriodType in https://github.com/pandas-dev/pandas/pull/28371, I see:
> {code}
> In [15]: pd_array = pd.period_range("2012-01-01", periods=3, freq="D").array                                                                                                                                       
> In [16]: pd_array                                                                                                                                                                                                  
> Out[16]: 
> <PeriodArray>
> ['2012-01-01', '2012-01-02', '2012-01-03']
> Length: 3, dtype: period[D]
> In [17]: pa.array(pd_array)                                                                                                                                                                                        
> Out[17]: 
> <pyarrow.lib.ExtensionArray object at 0x7f657cf78768>
> [
>   15340,
>   15341,
>   15342
> ]
> In [18]: df = pd.DataFrame({'periods': pd_array})                                                                                                                                                                  
> In [19]: pa.table(df)                                                                                                                                                                                              
> ...
> ArrowInvalid: ('Could not convert 2012-01-01 with type Period: did not recognize Python value type when inferring an Arrow data type', 'Conversion failed for column periods with type period[D]')
> {code}
> (this is working correctly for array objects whose {{\_\_arrow_array\_\_}} is returning a built-in pyarrow Array).



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