On Mon, Apr 26, 2010 at 9:55 AM, Charles R Harris <[email protected]> wrote: > Hi All, > > We need to make a decision for ticket #1123 regarding what nansum should > return when all values are nan. At some earlier point it was zero, but > currently it is nan, in fact it is nan whatever the operation is. That is > consistent, simple and serves to mark the array or axis as containing all > nans. I would like to close the ticket and am a bit inclined to go with the > current behaviour although there is an argument to be made for returning 0 > for the nansum case. Thoughts?
I use nansum a lot because I treat NaNs as missing data. I think a lot of people use NaNs as missing data but few admit it. My packages have grown to depend on nansum([nan, nan]) returning NaN. I vote to keep the current behavior. Changing nansum([]) to return zero, however, has no impact on me. _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
