I'm writing a client right now in MATLAB that communicates with a
repository system written in python.
Generally, MATLAB support is more robust, but far less intelligent
than PyTables. For example, individual arrays of a VLArray are
loaded by matlab as a structure array with a separate name and data
chunk for _each_ atom. So, you need to cat them all together
yourself. I'm in touch with Mathworks about how clunky this stuff
is. If you have a support contract - I'd suggest bugging them. This
kind of thing actually matters with them.
I don't know if this is useful, but you might refer to this: Service
Request # 1-2JECTC regarding 'working with imported HDF5 data'.
Generally, if you keep everything simple - strings, basic arrays and
scalars, matlab and pytables both read things fine. However, you
might want to read the PyTables manual on how to properly set
metadata for things like hdf5 compounds and such, so that pytables
will read them. PyTables default behavior with things like compounds
is not very robust at this point (so far as I can tell - it won't
read them without proper metadata).
Cheers,
Dav Clark
917-544-8408
-------------------------------------------------------
This SF.Net email is sponsored by xPML, a groundbreaking scripting language
that extends applications into web and mobile media. Attend the live webcast
and join the prime developer group breaking into this new coding territory!
http://sel.as-us.falkag.net/sel?cmd=lnk&kid=110944&bid=241720&dat=121642
_______________________________________________
Pytables-users mailing list
Pytables-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/pytables-users
