[Python] Type inference doesn't work on lists of Numpy arrays

[asfimport]

>>> arr = np.int16([2, 3, 4])
>>> pa.array(arr)
<pyarrow.lib.Int16Array object at 0x7f939f30a0e8>
[
  2,
  3,
  4
]
>>> pa.array([arr])
Traceback (most recent call last):
  File "<ipython-input-6-254285212203>", line 1, in <module>
    pa.array([arr])
  File "array.pxi", line 181, in pyarrow.lib.array
  File "array.pxi", line 26, in pyarrow.lib._sequence_to_array
  File "error.pxi", line 77, in pyarrow.lib.check_status
ArrowInvalid: /home/antoine/arrow/cpp/src/arrow/python/builtin_convert.cc:964 code: InferArrowType(seq, &real_type)
/home/antoine/arrow/cpp/src/arrow/python/builtin_convert.cc:321 code: seq_visitor.Visit(obj)
/home/antoine/arrow/cpp/src/arrow/python/builtin_convert.cc:195 code: VisitElem(ref, level)
Error inferring Arrow data type for collection of Python objects. Got Python object of type ndarray but can only handle these types: bool, float, integer, date, datetime, bytes, unicode

Reporter: Antoine Pitrou / @pitrou
Assignee: Uwe Korn / @xhochy

PRs and other links:

• GitHub Pull Request #1908

_{Note: This issue was originally created as ARROW-2147. Please see the migration documentation for further details.}

[asfimport]

Uwe Korn / @xhochy:
Issue resolved by pull request 1908
#1908