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Posted to issues@arrow.apache.org by "Uwe L. Korn (JIRA)" <ji...@apache.org> on 2017/06/26 18:03:00 UTC

[jira] [Issue Comment Deleted] (ARROW-1156) pyarrow.Array.from_pandas should take a type parameter

     [ https://issues.apache.org/jira/browse/ARROW-1156?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Uwe L. Korn updated ARROW-1156:
-------------------------------
    Comment: was deleted

(was: {{from_pandas}} can also do this using the {{schema=}} parameter. Sadly there is a bug currently https://issues.apache.org/jira/browse/ARROW-1125 so that you have to supply the full schema.)

> pyarrow.Array.from_pandas should take a type parameter
> ------------------------------------------------------
>
>                 Key: ARROW-1156
>                 URL: https://issues.apache.org/jira/browse/ARROW-1156
>             Project: Apache Arrow
>          Issue Type: New Feature
>    Affects Versions: 0.4.0
>            Reporter: Wenchen Fan
>
> It's convenient to infer the data type so that users can just write {{pyarrow.Array.from_pandas(arr)}}, however, sometimes users want fine-grained control, e.g., if we have an object type numpy array, whose values are all null. When we convert it to an arrow column vector, we may need a specific type instead of NullType.



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