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https://issues.apache.org/jira/browse/ARROW-15765?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vibhatha Lakmal Abeykoon updated ARROW-15765:
---------------------------------------------
Description:
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.
was:
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;
```python
def function(array1: pa.Int64Array, arrya2: pa.Int64Array) -> pa.Int64Array:
return pc.call_function("add", [array1, array2])
```
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.
> [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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