[ 
https://issues.apache.org/jira/browse/ARROW-7855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Antoine Pitrou closed ARROW-7855.
---------------------------------
    Fix Version/s:     (was: 4.0.0)
       Resolution: Won't Fix

While ArrowTypeError exists, it doesn't seem useful to me to mandate that 
PyArrow never raises a plain TypeError. Closing.

> [Python] Always raise ArrowTypeError instead of TypeError inside pyarrow.array
> ------------------------------------------------------------------------------
>
>                 Key: ARROW-7855
>                 URL: https://issues.apache.org/jira/browse/ARROW-7855
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 0.15.1, 0.16.0
>            Reporter: Rob DiCiuccio
>            Priority: Major
>
> The following data structure passed to `pa.array` raises a generic 
> `TypeError`:
> {code:java}
> import pyarrow as pa
> pa.array([{'TestKey': [123456, 'foo']}])
> {code}
> {code:java}
> Traceback (most recent call last):
>  File "pyarrow_list_test.py", line 30, in <module>
>  pa_array = pa.array([\{'TestKey': [123456, 'foo']}])
>  File "pyarrow/array.pxi", line 269, in pyarrow.lib.array
>  File "pyarrow/array.pxi", line 38, in pyarrow.lib._sequence_to_array
> TypeError: an integer is required (got type str)
> {code}
> I understand there may be a way to overcome this by setting the `type` value 
> as an argument to `pa.array`, but the use case here is storing results of a 
> SQL query where the structure/type of the column is unknown.
> If Arrow is ultimately unable to handle this data structure without a 
> predefined `type` passed to `pa.array`, can the exception at least us the 
> PyArrow namespace (e.g. `pa.lib.ArrowTypeError` or 
> `pa.lib.ArrowNotImplementedError).
> Any other workaround suggestions welcome.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

Reply via email to