[SciPy-User] putmask and NaNs

[josef.pktd at gmail.com]

On Thu, Feb 25, 2010 at 12:26 PM, kpal <kpalamartchouk at gmail.com> wrote:
> Hi, I observe a strange thing. scipy.putmask seems to treat NaN as
> zero in the following piece of code:
>
> mydata = scipy.array(((1,2,3,4,5),(1,1,-1,1,-1))).T
> scipy.putmask(mydata[:,0], mydata[:,1]<0, [scipy.NaN])
>
> At this moment I expect some of the values in mydata to be replaced by
> NaNs, but they get replaced by zeros. Is this behaviour normal? Or is
> it a bug?
>
> Or is there another way to put NaNs according to a mask?

It's not a problem with putmask

integer arrays cannot contain nans so they are silently cast to zero.

If you need nans than either use a float array or represent nans as
-9999 or something like this, or use masked arrays.


Josef

>
> Python 2.5, scipy 0.7.0
>
> Thanks,
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