Hallo! Sorry for the maybe stupid question, but is there a way in PyTables to just import/export big binary (floating point) data into a hdf5 file ?
I have big audio files (bigger than my memory), manage the data with PyTables, access parts of them (which really works nice!) and finally write one output data file. However, at the moment I read the binary input data with numpy.fromfile, which reads the whole file in memory. Is there something like h5import, which just imports the whole binary files ? Or is it also possible to make something similar to an ExternalLink to binary data ? I also stumbled upon this thread [1], where memmap is suggested. However, this has the problem that I cannot make larger indezes on 32bit system ... (And doesn't this still reserve the whole memory ?) Thanks for any hints ! LG Georg [1] http://sourceforge.net/mailarchive/forum.php?thread_name=201102031614.46695.faltet%40pytables.org&forum_name=pytables-users -- http://grh.mur.at ------------------------------------------------------------------------------ Create and publish websites with WebMatrix Use the most popular FREE web apps or write code yourself; WebMatrix provides all the features you need to develop and publish your website. http://p.sf.net/sfu/ms-webmatrix-sf _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
