From: Anthony S. <sc...@gm...> - 2013-08-08 07:06:04
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Hi David, I think that you can do what you want in one, rather long line: hfile.createTable(grp, 'signal', description=np.array(zip(some_func(t, v)), dtype=[('time', np.float64), ('value', np.float64)])) Or two nicer lines: arr = np.array(zip(some_func(t, v)), dtype=[('time', np.float64), ('value', np.float64)]) hfile.createTable(grp, 'signal', description=arr) zip() is your friend =). If zip is too slow and you don't want to make more than one copy, you could try something like this: temparr = np.array(some_func(t, v)).T arr = np.view(temparr, dtype=[('time', np.float64), ('value', np.float64)]) This really only works because both columns have the same dtype. Of course, you can always keep basically what you have and loop through the column names programmaticly: for name, col in zip(A.dtype.names, some_func(t, v)): A[name] = col I hope this helps! Be Well Anthony On Wed, Aug 7, 2013 at 5:58 PM, David Reed <dav...@gm...> wrote: > Hi there, > > I have some generic functions that take time series data with 2 numpy > array arguments, time and value, and return 2 numpy arrays of time and > value. > > I would like to place these arrays into a Numpy structured array or > directly into a new pytables table with fields, time and value. > > Now Ive found I could do this: > > t, v = some_func(t, v) > > A = np.empty(len(t), dtype=[('time', np.float64), ('value', > np.float64)]) > > A['time'] = t > A['value'] = v > > hfile.createTable(grp, 'signal', description=A) > hfile.flush() > > But this seems rather clunky and inefficient. Any suggestions to make > this repackaging a little smoother? > > > > > ------------------------------------------------------------------------------ > Get 100% visibility into Java/.NET code with AppDynamics Lite! > It's a free troubleshooting tool designed for production. > Get down to code-level detail for bottlenecks, with <2% overhead. > Download for free and get started troubleshooting in minutes. > http://pubads.g.doubleclick.net/gampad/clk?id=48897031&iu=/4140/ostg.clktrk > _______________________________________________ > Pytables-users mailing list > Pyt...@li... > https://lists.sourceforge.net/lists/listinfo/pytables-users > > |