On 15.01.2014 18:57, Charles R Harris wrote: > ... > > There was a discussion of this long ago and UCS-4 was chosen as the > numpy standard. There are just too many complications that arise in > supporting both. >
my guess is that that discussion was before python3 and you could still simply treat bytes == string? In python3 you need extra code to deal with arrays containing strings as the S type is interpreted as bytes which is not a string type anymore [0]. Someone on irc (I think Freddie Witherden CC'd) had a use case with huge ascii tables in numpy which now have to be stored as 4 bytes unicode on disk or decode bytes all the time. I personally don't use strings in arrays so I can neither judge the impact nor the use, but it seems to me like at least having an ascii dtype for python2<->python3 compatibility would be useful. [0] https://github.com/numpy/numpy/issues/4162 _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
