[Numpy-discussion] sparse array data
Stéfan van der Walt
stefan at sun.ac.za
Wed May 2 23:03:20 EDT 2012
On Wed, May 2, 2012 at 6:25 PM, Travis Oliphant <travis at continuum.io> wrote:
> The only new principle (which is not strictly new --- but new to NumPy's world-view) is using one (or more) fields of a structured array as "synthetic dimensions" which replace 1 or more of the raw table dimensions.
Ah, thanks--that's the detail I was missing. I wonder if the
contiguity requirement will hamper us here, though. E.g., I could
imagine that some tree structure might be more suitable to storing and
organizing indices, and for large arrays we wouldn't like to make a
copy for each operation. I guess we can't wait for discontiguous
arrays to come along, though :)
> More to come.... If you are interested in this sort of thing please let me know....
Definitely--if we can optimize this machinery it will be beneficial to
scipy.sparse as well.
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