[Numpy-discussion] should get rid of the annoying numpy STDERR output
eat
e.antero.tammi@gmail....
Thu Mar 24 09:52:48 CDT 2011
Hi
On Thu, Mar 24, 2011 at 4:17 PM, Skipper Seabold <jsseabold@gmail.com>wrote:
> On Thu, Mar 24, 2011 at 9:45 AM, Ralf Gommers
> <ralf.gommers@googlemail.com> wrote:
> > 2011/3/24 Dmitrey <tmp50@ukr.net>:
> >>
> >> Hi
> >>
> >> 2011/3/24 Dmitrey <tmp50@ukr.net>
> >>>
> >>> >>> from numpy import inf, array
> >>> >>> inf*0
> >>> nan
> >>>
> >>> (ok)
> >>>
> >>> >>> array(inf) * 0.0
> >>> StdErr: Warning: invalid value encountered in multiply
> >>> nan
> >>>
> >>> My cycled calculations yields this thousands times slowing computations
> >>> and making text output completely non-readable.
> >>
> >> Would old= seterr(invalid= 'ignore') be sufficient for you?
> >>
> >> yes for me, but I'm not sure for all those users who use my soft. Maybe
> it
> >> will hide some bugs in their objective functions and nonlinear
> constraints
> >> in numerical optimization and nonlinear equation systems.
> >
> > If we do what you request in your message subject your users will have
> > the same issue.
> >
> > You can wrap (parts of) your code in something like:
> > olderr = seterr(invalid= 'ignore')
> > <do stuff>
> > seterr(**olderr)
> >
>
> Also, as Robert pointed out to me before np.errstate is a
> context-manager for ignoring these warnings. I often wrap optimization
> code with it.
>
I didn't realize that its context-manager, but that's really create!
(Perhaps documents could reflect that.)
Regards,
eat
>
> In [3]: np.array(np.inf)*0.
> Warning: invalid value encountered in multiply
> Out[3]: nan
>
> In [4]: with np.errstate(all='ignore'):
> ...: np.array(np.inf)*0.
> ...:
> ...:
> Out[4]: nan
>
> In [5]: np.array(np.inf)*0.
> Warning: invalid value encountered in multiply
> Out[5]: nan
>
> Skipper
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