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https://issues.apache.org/jira/browse/ARROW-15765?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17496760#comment-17496760
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Antoine Pitrou edited comment on ARROW-15765 at 2/23/22, 1:35 PM:
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Well, {{pa.Int32Type}} doesn't exist:
{code:python}
>>> ty = pa.int32()
>>> ty.__class__
pyarrow.lib.DataType
{code}
We may change this of course. For example, {{pa.ListType}} does exist.
was (Author: pitrou):
Well, {{pa.Int32Type}} doesn't exist:
{code:python}
>>> ty = pa.int32()
>>> ty.__class__
pyarrow.lib.DataType
{code}
> [Python] Extracting Type information from Python Objects
> --------------------------------------------------------
>
> Key: ARROW-15765
> URL: https://issues.apache.org/jira/browse/ARROW-15765
> Project: Apache Arrow
> Issue Type: Improvement
> Components: C++, Python
> Reporter: Vibhatha Lakmal Abeykoon
> Assignee: Vibhatha Lakmal Abeykoon
> Priority: Major
>
> When creating user defined functions or similar exercises where we want to
> extract the Arrow data types from the type hints, the existing Python API
> have some limitations.
> An example case is as follows;
> {code:java}
> def function(array1: pa.Int64Array, arrya2: pa.Int64Array) -> pa.Int64Array:
> return pc.call_function("add", [array1, array2])
> {code}
> We want to extract the fact that array1 is an `pa.Array` of `pa.Int32Type`.
> At the moment there doesn't exist a straightforward manner to get this done.
> So the idea is to expose this feature to Python.
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