On Tue, Oct 18, 2016 at 4:18 PM, Allan Haldane <allanhald...@gmail.com>

> As for whether it should default to "True" or "False", the arguments I
> see are:
>  * False, because that is the way most functions like `np.ma.sum`
>    already work, as well as matlab and octave's similar "nanconv".
>  * True, because its effects are more visible and might lead to less
>    surprises. The "False" case seems like it is often not what the user
>    intended. Eg, it affects the overall normalization of normalized
>    kernels, and the choice of 0 seems arbitrary.
> If no one says anything, I'd probably go with True

I also have serious concerns about if it ever actually makes sense to use

So, I think it's definitely appropriate to default to `propagate_mask=True`.
NumPy-Discussion mailing list

Reply via email to