On Thu, Jul 8, 2010 at 4:05 PM, Lluís <xscr...@gmx.net> wrote: > Another reason to have multiple variables, is that the insertion of NaNs to > maintain shape homogeneity will make these "synthetic" NaNs undistinguishable > from other NaNs that might be on your original input data, unless you use a > masked array or something similar to distinguish them.
I've often wondered why there isn't an explicit type for missing values. Something like what Stata has http://www.stata.com/help.cgi?missing It seems like this could be implemented in a pretty straightforward and costless way, though it's unclear to me how right now. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
