Hi, I have a two dimensional tables.Array. I would like to make a 'lazy slice' of this array that doesn't load any data off disk until actual elements are read from it. This is similar to how a simple slice works in numpy. In numpy. if I have a 2d array arr and I say arr[10], no data is copied; I've just made a view into my data. It would be really useful to be able to do that with arrays stored in pytables.
To be totally clear, if I say: x = my_pytables_array[10] then row 10 in its entirety is read in immediately (right?). What I instead want is something that lets me make a 'view' of row 10, and will load in chunks of the underlying row as data is accessed from this row. That way, columns whose chunks are never actually used will never be loaded in. Does anyone know of a good way to do this? Really appreciate it. Thanks, Tim ------------------------------------------------------------------------------ Start uncovering the many advantages of virtual appliances and start using them to simplify application deployment and accelerate your shift to cloud computing. http://p.sf.net/sfu/novell-sfdev2dev _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
