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https://issues.apache.org/jira/browse/ARROW-638?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15928404#comment-15928404
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Julien Le Dem commented on ARROW-638:
-------------------------------------


I see several possibilities:
 - first class complex types: but we have to curate types so that we don't 
create too many of them.
 - have two float columns: but I guess we want the two values next to each other
 - have one float column where odd and even indices are the components of the 
complex value: which I guess would be the same binary representation as an 
array of numpy.complex values
 - embed floats in a fixed_width_byte_array: we lose meaning in the metadata 
but also allows a zero copy import of a numpy array.
 - define a generic row/struct/compound type which is a fixed width 
representation of several values: Basically the same binary representation as 
the previous one but associating metadata to it.

> [Format] Add metadata for single and double precision complex numbers
> ---------------------------------------------------------------------
>
>                 Key: ARROW-638
>                 URL: https://issues.apache.org/jira/browse/ARROW-638
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: Format
>            Reporter: Wes McKinney
>
> Numerical computing libraries like NumPy and TensorFlow feature complex64 and 
> complex128 numbers



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