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https://issues.apache.org/jira/browse/ARROW-1156?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16063529#comment-16063529
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Wes McKinney commented on ARROW-1156:
-------------------------------------
Agreed. We need some help here. Our intent is for {{pyarrow.array}} to be the
main constructor for array data that did not originate from pandas -- e.g. many
NumPy arrays should be zero-copy constructable (unless they are object dtype,
non-contiguous, etc.). Related: ARROW-838
> 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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