Wacek Kusnierczyk wrote: > there's another way. use the rpy's NaN (or numpy's nan): > > import rpy # import numpy > x = range(10) > x[5] = rpy.NaN # x[5] = numpy.nan > rpy.r.plot(x) > rpy.r.lines(x) > > ... note: nan is not quite the same as na, but it seems ok for the purpose of the initial plotting problem.
vQ ------------------------------------------------------------------------- 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/ _______________________________________________ rpy-list mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/rpy-list
