[SciPy-Dev] Warnings raised (from fit in scipy.stats)
Fri Jun 11 12:07:37 CDT 2010
On Fri, Jun 11, 2010 at 12:45 PM, Skipper Seabold <email@example.com> wrote:
> Since the raising of warning behavior has been changed (I believe), I
> have been running into a lot of warnings in my code when say I do
> something like
> In : from scipy import stats
> In : y = [-45, -3, 1, 0, 1, 3]
> In : v = stats.norm.pdf(y)/stats.norm.cdf(y)
> Warning: invalid value encountered in divide
> Sometimes, this is useful to know. Sometimes, though, it's very
> disturbing when it's encountered in some kind of iteration or
> optimization. I have been using numpy.clip to get around this in my
> own code, but when it's buried a bit deeper, it's not quite so simple.
> Take this example.
> In : import numpy as np
> In : np.random.seed(12345)
> In : B = 6.0
> In : x = np.random.exponential(scale=B, size=5000)
> In : from scipy.stats import expon
> In : expon.fit(x)
> <dozens of warnings clipped>
> Out: (0.21874043533906118, 5.7122829778172939)
> The fit is achieved by fmin (as far as I know, since disp=0 in the
> rv_continuous.fit...), but there are a number of warnings emitted. Is
> there any middle ground to be had in these type of situations via
> context management perhaps?
> Should I file a ticket?
Which numpy scipy versions are you using?
I don't get any warning with the first example. (numpy 1.4.0)
(I cannot run the second example because I have a scipy revision with
a broken fit() method)
I don't think wrapping functions/methods to turn off warnings is a
good option. (many of them are in inner loops for example for random
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