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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 -- This message was sent by Atlassian JIRA (v6.3.15#6346)