A Sunday 03 August 2008, escriguéreu: > Hi Francesc, > > Sorry I think I might have been unclear in my first email ( probably > too late at night to write well )... > > My situation is that I used the PyTables python interface to modify > my hdf files (i.e. moved datasets between groups, deleted datasets) > and now am faced with the problem of excessively large file sizes. I > wanted to compact the files using ptrepack to get rid of the holes I > have created.
Well, I think that I understood you well, yes. > I played around with ptrepack a bit and had some success in doing the > following: > > ptrepack hdf-file-with-holes.h5 new-hdf.h5 > > Is there a better way to do this? or any settings I should be aware > of? I'm not sure about what you mean here (the above command is enough to get rid of holes, if this is what you are after). What kind of settings are you referring to? compresion maybe? If it is compression, then yes, you can change the compressor library and see if some of the (zlib, lzo or bzip2) triad can do a better job for you. Just type ``ptrepack`` with no parameters to see the flags required to use compression. > My data is basically a series of numpy arrays which I've put into the > hdf file using the h5file.createArray(...) method if this is > important. Well, the outcome of the '.createArray()' method are plain Array objects, and these are not compressible. Maybe you want to use CArrays or EArrays so that you can get compressible datasets. Check the PyTables User's Guide for directions on how to use them. HTH, -- Francesc Alted Freelance developer Tel +34-964-282-249 ------------------------------------------------------------------------- This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK & win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100&url=/ _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
