> > never let me down. My praise is endless regarding this excellent
package
> > ;-)
>
> Wow, thanks :-)

It's well deserved!

>
> > In looking for additional ways to make my files more efficient, I came
> > across the H5Fmount capability while perusing the HDF5 documentation. I
> > couldn't find this in the PyTables docs so can you tell me if PyTables
> > supports this?
>
> Right now we have no plans to add this feature. Can you explain a little
> under which situations do you need this?
>

I am working with large finite element models and results data from
hundreds of loading condition. The amount of data is taxing our resources
and what I'm doing probably wouldn't be possible without HDF5, nor easy
without PyTables.

There may be cases where different sets of load conditions could be in
separate files, and yet they would all share the same finite element (FE)
model data, ie, geometry, materials, etc. Instead of each file containing
it's own Group of FE data, I could just H5Fmount the common geometry from a
single file to be shared by any number of results files.

Having given this more thought, I can see how I would be able to accomplish
this by using an attribute in each results file to store a pathname of the
file containing the common data. However, the H5Fmount would be nice
because it is transparent and only one file handle would be needed.

I welcome your opinion.

Elias Collas
Stress Method
Gulfstream Aerospace

/*******************************************
 *   "You keep using that word. I do not
 *   think it means what you think it means."
 *                          -- Inigo Montoya
 *******************************************/



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