On Wed, Jul 21, 2010 at 5:48 PM, Keith Goodman <kwgood...@gmail.com> wrote: > On Wed, Jul 21, 2010 at 2:32 PM, Rob Speer <rsp...@mit.edu> wrote: >> I agree with the idea that axis labels must be strings. >> >> Yes, this is the opposite of my position on tick labels ("names"), but >> there's a reason: ticks are often defined by whatever data you happen >> to be working with, but axis labels will in the vast majority of >> situations be defined by the programmer as they're writing the code. >> If the programmer wants to name something, they'll certainly be able >> to do so with a string. > > What started the discussion was that someone wanted to have more than > one label name for one axis. So I suggested that if we allow any > hasable objects as axis label then, for example, a tuple could be used > to hold multiple names. > > That would also allow a datarray to be flattened to 1d since the axis > labels could be combined into a tuple. So a 2d datarray with axis > names "time" and "distance" and ticks 't1', 't2' and 'd1', 'd2' could > flatten to > > axis --> ('time', 'distance') > ticks --> [('t1', 'd1'), ('t1', 'd2'), ('t2', 'd1'), ('t2', 'd2')] > > An unflatten function along with a fill value could unflatten the datarray.
I'm not doing the work, so really whatever works for people, but In [1]: '_'.join(('time','distance')) Out[1]: 'time_distance' would also work in this case, though I guess we get into trouble for unflatten when individual axis labels have an underscore in them. Skipper _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion