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https://issues.apache.org/jira/browse/ARROW-1156?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16106224#comment-16106224
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Wes McKinney commented on ARROW-1156:
-------------------------------------
The generated documentation has been much improved in 0.5.0. This particular
issue needs to be expanded into more specific JIRAs, since there are many
possible features to implement for type casting and so forth. Moving this off
0.6.0 for now
> 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
> Fix For: 0.7.0
>
>
> 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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