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https://issues.apache.org/jira/browse/ARROW-7855?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17036990#comment-17036990
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Wes McKinney commented on ARROW-7855:
-------------------------------------
[~robdiciuccio] I am curious what you want to do with the data after you create
the array. If you're interacting with SQL, at some point you need to homogenize
the data to all be of the same type. There are issues about inferring unions
(see ARROW-2774) but this will probably be something that has to be opted in to
explicitly like {{pa.array(data, allow_unions=True)}} once it is even
implemented
> TypeError on mixed array values
> -------------------------------
>
> Key: ARROW-7855
> URL: https://issues.apache.org/jira/browse/ARROW-7855
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.16.0, 0.15.1
> 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.
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