I think the most efficient way would be writing out the values to flat files, and then do the analysis on a later point:
This would be the value.write function http://www.nmr-relax.com/manual/index.html value.write(param="r2eff", comment="My comment", file="test.txt", force=True) 2014-02-14 12:50 GMT+01:00 Troels Emtekær Linnet <tlin...@nmr-relax.com>: > Hi, > > I need an efficient way to compare spin.X values between pipes. > Here X could be: > > - spin.r2eff > - spin.chi2 > - spin.kex > etc. > > I have tried implementing the following: > > for spin, mol_name, res_num, res_name, spin_id in > spin_loop(full_info=True, return_id=True, skip_desel=True): > cur_r2eff = spin.r2eff[index_str] > > The problem is that r2eff is a saved as a dictionary, with a current name > convention of: > sq_cpmg_599.%8f_0.000_100.000 > sq_cpmg_599.%8f_0.000_133.333 > sq_cpmg_599.%8f_0.000_133.%3f > > This naming convention is likely to change pattern. > > Do there exist a efficient way to compare data values between two pipes? > > I would need to compare one pipe to about 50 other pipes, where each > pipe contains about 80 spins recorded at 10-15 v_cpmg frequencies. > > The difference between pipe data would undergo standard statistics as RMS > etc. > > Best > Troels >
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