[jira] [Commented] (ARROW-8642) Is there a good way to convert data types from numpy types to pyarrow DataType?

["Joris Van den Bossche (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/ARROW-8642?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17096272#comment-17096272 ] 

Joris Van den Bossche commented on ARROW-8642:
----------------------------------------------

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().



--
This message was sent by Atlassian Jira
(v8.3.4#803005)