I am working on refining some algorithms to process some spectral data I have stored in an h5 file using PyTables. The data is stored as an EArray. As I work on my algorithm, I'd like to store intermediate computations in the same h5 file. The trouble I am having is as follows: I create a new EArray to store the intermediate result Then I iterate through my data, appending my results to the EArray If I then realize I've made a mistake in computing the intermediate result, I have to do something like: try: res = fh.getNode(grp, 'res') res.remove() except: pass res = fh.createEArray(grp, 'res', Float32Atom(), (0,512))
in order to remove the old array so that I can start fresh. This seems to be slow and cumbersome. Is there any better way to do this? Perhaps a way to tell the EArray to start at the beginning again so subsequent append operations overwrite old data? Thanks, Glenn ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
