[Numpy-discussion] Setting custom dtypes and 1.14

Stefan van der Walt stefanv at berkeley.edu
Mon Jan 29 14:55:48 EST 2018

On Mon, 29 Jan 2018 14:10:56 -0500, josef.pktd at gmail.com wrote:
>Given that there is pandas, xarray, dask and more, numpy could as well drop
>any pretense of supporting dataframe_likes. Or, adjust the recfunctions so
>we can still work dataframe_like with structured

I haven't been following the duckarray discussion carefully, but could
this be an opportunity for a dataframe protocol, so that we can have
libraries ingest structured arrays, record arrays, pandas dataframes,
etc. without too much specialized code?


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