On Apr 26, 2010, at 12:03 PM, Charles R Harris wrote:
On Mon, Apr 26, 2010 at 10:55 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?
To add a bit of context, one could argue that the results should be
consistent with the equivalent operations on empty arrays and always
be non-nan.
In [1]: nansum([])
Out[1]: nan
In [2]: sum([])
Out[2]: 0.0
I favor nansum([]) returning 0.0 which implies returning 0.0 when all
the elements are nan.
-Travis
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