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https://issues.apache.org/jira/browse/ARROW-1999?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16340266#comment-16340266
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Wes McKinney commented on ARROW-1999:
-------------------------------------
It'd probably easiest to ensure that the input value is a dtype in Cython. For
code that only touches the Python C API or Arrow API, there's no hard
distinction between where to put code except what is more convenient (and
generally keeping the Cython bindings as "thin" as possible). the C++
arrow/python code does not expose any of the C++ libraries' dependencies to
keep the build system simple
> [Python] from_numpy_dtype returns wrong types
> ---------------------------------------------
>
> Key: ARROW-1999
> URL: https://issues.apache.org/jira/browse/ARROW-1999
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.8.0
> Environment: Windows 10 Build 15063.850
> Python: 3.6.3
> Numpy: 1.14.0
> Reporter: Victor Jimenez
> Assignee: Phillip Cloud
> Priority: Major
> Fix For: 0.9.0
>
>
> The following code shows multiple issues when using {{from_numpy_dtype}}:
> {code}
> import numpy as np
> import pyarrow as pa
> pa.from_numpy_dtype(np.unicode) # returns DataType(bool)
> pa.from_numpy_dtype(np.int) # returns DataType(bool)
> pa.from_numpy_dtype(np.int64) # Fails with the following message:
> #
> # ArrowNotImplementedError Traceback (most recent call last)
> # <ipython-input-14-ca0855a7dda8> in <module>()
> # ----> 1 pa.from_numpy_dtype(np.int64)
> # 2
> #
> # types.pxi in pyarrow.lib.from_numpy_dtype()
> #
> # error.pxi in pyarrow.lib.check_status()
> #
> # ArrowNotImplementedError: Unsupported numpy type 32760
> {code}
> Additionally, a potentially related issue is also seen when using
> {{to_pandas_dtype}}:
> {code}
> pa.DataType.to_pandas_dtype(pa.string()) # Returns numpy.object_
> # (shouldn't it be numpy.unicode?)
> {code}
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