A Monday 07 March 2011 18:28:11 Christopher Barker escrigué: > Hi folks, > > I'm setting out to write some code to access and work with ragged > arrays stored in netcdf files. It dawned on me that ragged arrays > are not all that uncommon, so I'm wondering if any of you have any > code you've developed that I could learn-from borrow from, etc. > > note that when I say a "ragged array", I mean a set of data where the > each row could be a different arbitrary length: > > 1, 2, 3, 4 > 5, 6 > 7, 8, 9, 10, 11, 12 > 13, 14, 15 > ... > > In my case, these will only be 2-d, though I suppose one could have a > n-d version where the last dimension was ragged (or any dimension, I > suppose, though I'm having trouble wrapping my brain around what that > would look like... > > I'm not getting more specific about what I think the API should look > like -- that is part of what I'm looking for suggestions, previous > implementations, etc for. > > Is there any "standard" way to work with such data?
A list of numpy arrays would not be enough? Or you want something more specific? -- Francesc Alted _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
