[jira] [Updated] (ARROW-5208) [Python] Inconsistent resulting type during casting in pa.array() when mask is present

2019-06-24 Thread ASF GitHub Bot (JIRA) 


 [ 
https://issues.apache.org/jira/browse/ARROW-5208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

ASF GitHub Bot updated ARROW-5208:
--
Labels: pull-request-available  (was: )

> [Python] Inconsistent resulting type during casting in pa.array() when mask 
> is present
> --
>
> Key: ARROW-5208
> URL: https://issues.apache.org/jira/browse/ARROW-5208
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: Python
>Affects Versions: 0.13.0
>Reporter: Artem KOZHEVNIKOV
>Assignee: Wes McKinney
>Priority: Major
>  Labels: pull-request-available
> Fix For: 0.14.0
>
>
> I would expect Int64Array type in all cases below :
> {code:java}
> >>> pa.array([4, None, 4, None], mask=np.array([False, True, False, True]))   
> >>>                                                                           
> >>>      
>  [4, null, 4,  null ]
> >>> pa.array([4, None, 4, 'rer'], mask=np.array([False, True, False, True]))  
> >>>                                                                           
> >>>         
>  [4, null, 4,  null ]
> >>> pa.array([4, None, 4, 3.], mask=np.array([False, True, False, True]))     
> >>>                                                                           
> >>>           [   4,   null,   
> >>> 4,   null ]{code}



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[jira] [Updated] (ARROW-5208) [Python] Inconsistent resulting type during casting in pa.array() when mask is present

2019-04-24 Thread Wes McKinney (JIRA) 


 [ 
https://issues.apache.org/jira/browse/ARROW-5208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wes McKinney updated ARROW-5208:

Fix Version/s: 0.14.0

> [Python] Inconsistent resulting type during casting in pa.array() when mask 
> is present
> --
>
> Key: ARROW-5208
> URL: https://issues.apache.org/jira/browse/ARROW-5208
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: Python
>Affects Versions: 0.13.0
>Reporter: Artem KOZHEVNIKOV
>Priority: Major
> Fix For: 0.14.0
>
>
> I would expect Int64Array type in all cases below :
> {code:java}
> >>> pa.array([4, None, 4, None], mask=np.array([False, True, False, True]))   
> >>>                                                                           
> >>>      
>  [4, null, 4,  null ]
> >>> pa.array([4, None, 4, 'rer'], mask=np.array([False, True, False, True]))  
> >>>                                                                           
> >>>         
>  [4, null, 4,  null ]
> >>> pa.array([4, None, 4, 3.], mask=np.array([False, True, False, True]))     
> >>>                                                                           
> >>>           [   4,   null,   
> >>> 4,   null ]{code}



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[jira] [Updated] (ARROW-5208) [Python] Inconsistent resulting type during casting in pa.array() when mask is present

2019-04-24 Thread Antoine Pitrou (JIRA) 


 [ 
https://issues.apache.org/jira/browse/ARROW-5208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Antoine Pitrou updated ARROW-5208:
--
Summary: [Python] Inconsistent resulting type during casting in pa.array() 
when mask is present  (was: Inconsistent resulting type during casting in 
pa.array() when mask is present)

> [Python] Inconsistent resulting type during casting in pa.array() when mask 
> is present
> --
>
> Key: ARROW-5208
> URL: https://issues.apache.org/jira/browse/ARROW-5208
> Project: Apache Arrow
>  Issue Type: Bug
>  Components: Python
>Affects Versions: 0.13.0
>Reporter: Artem KOZHEVNIKOV
>Priority: Major
>
> I would expect Int64Array type in all cases below :
> {code:java}
> >>> pa.array([4, None, 4, None], mask=np.array([False, True, False, True]))   
> >>>                                                                           
> >>>      
>  [4, null, 4,  null ]
> >>> pa.array([4, None, 4, 'rer'], mask=np.array([False, True, False, True]))  
> >>>                                                                           
> >>>         
>  [4, null, 4,  null ]
> >>> pa.array([4, None, 4, 3.], mask=np.array([False, True, False, True]))     
> >>>                                                                           
> >>>           [   4,   null,   
> >>> 4,   null ]{code}



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