I had seen this, but I don't see how to point to regions inside a leaf. It seems that h5py supports this. Quoting from their documentation
<> Region references always contain a selection. You create them using the dataset property “regionref” and standard NumPy slicing syntax: >>> myds = myfile.create_dataset('dset', (200,200)) >>> regref = myds.regionref[0:10, 0:5] The reference itself can now be used in place of slicing arguments to the dataset: >>> subset = myds[regref] </> It seems that they can be stored in datasets and attributes. Typically I would like to store references to interesting features in my data (contiguous slices) that I have detected with some algorithm, and I was wondering if I could do that with refs in HDF5 with PyTables or I should just use tuples of integers to store slices (start, end) in another table, and establish a link to the table /column that these tuples refer to. -á. On Thu, Mar 15, 2012 at 17:59, Anthony Scopatz <scop...@gmail.com> wrote: > Links are covered here. > > soft: http://pytables.github.com/usersguide/libref.html?#the-softlink-class > hard: http://pytables.github.com/usersguide/libref.html?#the-externallink-class > > On Thu, Mar 15, 2012 at 7:56 AM, Alvaro Tejero Cantero <alv...@minin.es> > wrote: >> >> Does PyTables support object region references[1]? >> >> When using soft links to other files, is a performance penalty >> incurred? I like the idea of having the raw data, that never changes, >> referenced from another file that is read-only. How do you guys >> normally deal with this scenario? >> >> Álvaro. >> >> [1] I learnt about them here: >> http://h5py.alfven.org/docs-2.0/topics/refs.html >> >> >> ------------------------------------------------------------------------------ >> This SF email is sponsosred by: >> Try Windows Azure free for 90 days Click Here >> http://p.sf.net/sfu/sfd2d-msazure >> _______________________________________________ >> Pytables-users mailing list >> Pytables-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/pytables-users > > > > ------------------------------------------------------------------------------ > This SF email is sponsosred by: > Try Windows Azure free for 90 days Click Here > http://p.sf.net/sfu/sfd2d-msazure > _______________________________________________ > Pytables-users mailing list > Pytables-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/pytables-users > ------------------------------------------------------------------------------ This SF email is sponsosred by: Try Windows Azure free for 90 days Click Here http://p.sf.net/sfu/sfd2d-msazure _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users