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https://issues.apache.org/jira/browse/ARROW-2277?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16397389#comment-16397389
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Wes McKinney commented on ARROW-2277:
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This is possible, eventually, see ARROW-1790:
https://issues.apache.org/jira/browse/ARROW-1790.
We don't currently have a memory format defined for more complex array "cells".
It would be useful to be able to support the full gamut of fixed-size packed
structs a la NumPy, and potentially also support the more complex
representations being developed in the xnd/libndtypes projects right now. This
is a different, though complementary effort the columnar analytics problem
> [Python] Tensor.from_numpy doesn't support struct arrays
> --------------------------------------------------------
>
> Key: ARROW-2277
> URL: https://issues.apache.org/jira/browse/ARROW-2277
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Affects Versions: 0.8.0
> Reporter: Antoine Pitrou
> Priority: Major
>
> {code:python}
> >>> dt = np.dtype([('x', np.int8), ('y', np.float32)])
> >>> dt.itemsize
> 5
> >>> arr = np.arange(5*10, dtype=np.int8).view(dt)
> >>> pa.Tensor.from_numpy(arr)
> Traceback (most recent call last):
> File "<ipython-input-8-744d4c7972b7>", line 1, in <module>
> pa.Tensor.from_numpy(arr)
> File "array.pxi", line 523, in pyarrow.lib.Tensor.from_numpy
> File "error.pxi", line 85, in pyarrow.lib.check_status
> ArrowNotImplementedError:
> /home/antoine/arrow/cpp/src/arrow/python/numpy_convert.cc:250 code:
> GetTensorType(reinterpret_cast<PyObject*>(PyArray_DESCR(ndarray)), &type)
> Unsupported numpy type 20
> {code}
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