> Out of curiosity, may you be a bit more explicit on what
> you are after?  Perhaps a code snippet would help us to better
> understand your need and suggest anything more specific.

It is difficult to show a snippet of code for something I
do not know how to do, or to be more specific than what
I already said-- I have a numpy ndarray in an HDF5 file
and I want to be able to invoke ndarray methods of an
object representing the data without making a separate
in-memory copy of it by calling PyTables Array.read().


> If you want to transparently manage on-disk data as if it
> was in-memory, you may want to try memory-mapped arrays.

That would be great. How do I use PyTables to get numpy
memmap access to the data for an ndarray in an HDF5 file?

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