2010/7/28 脑关生命科学仪器 <braingate...@gmail.com>: > it seems like pytable only support HDF5. I had some 500GB numerical arrays > to process. Pytable claims to have some advance feature to enhance > processing speed and largely reduce physical memory requirement. However, I > do not wanna touch the raw data I had. Simply because I do not have doubled > diskspace to covert all 10TB data into HDF5. Is there any way to let pytable > read raw binary files or alternatively to package raw files into HDF5 format > without change the files themselves.?
No. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
