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https://issues.apache.org/jira/browse/ARROW-8642?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17096272#comment-17096272
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Joris Van den Bossche commented on ARROW-8642:
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There is a {{from_numpy_dtype}} function for this:
{code}
In [42]: pa.from_numpy_dtype(np.dtype("int8"))
Out[42]: DataType(int8)
{code}
It's included in the API docs here:
https://arrow.apache.org/docs/python/api/datatypes.html
> Is there a good way to convert data types from numpy types to pyarrow
> DataType?
> -------------------------------------------------------------------------------
>
> Key: ARROW-8642
> URL: https://issues.apache.org/jira/browse/ARROW-8642
> Project: Apache Arrow
> Issue Type: Wish
> Reporter: Anish Biswas
> Priority: Major
>
> Pretty much what the title says. Suppose I have a numpy array and its a
> numpy.int8 type. How do I convert it to a pyarrow.Datatype intuitively? I
> thought a Dictionary lookup table might work but perhaps there is some better
> way?
> Why do I need this? I am trying to make pyarrow arrays with from_buffers().
> The first parameter is essentially a pyarrow.Datatype. So that's why. I have
> validity_bitmaps as a buffer of uint8 and that's why I am using
> from_buffers() and not pyarrow.array().
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