Angelo Secchi wrote:
> Hi,
> I have the following script
>
> import fileinput
> import string
> from math import *
> from scipy import *
> from rpy import *
> import Numeric
> import shelve
> import sys
>
> def dpolya1(n,N,b,a):
> a=float(a)
> b=float(b)
> L=784
> probs=((special.gammaln(N+1)+special.gammaln(L*(a/b))+special.gammaln((a/b)+n)+special.gammaln((a/b)*(L-1)+N-n))-(special.gammaln(L*(a/b)+N)+special.gammaln(a/b)+special.gammaln(n+1)+special.gammaln(N-n+1)+special.gammaln(L*(a/b)-(a/b))))#)
> return probs
>
> and I observe the following "strange" (for me of course) behaviour
>
>>>> dpolya1(1,2,0.5,0.4)
> -5.9741312822170585
>>>> type(dpolya1(1,2,0.5,0.4))
> <type 'float64scalar'>
>>>> exp(dpolya1(1,2,0.5,0.4))
> Traceback (most recent call last):
> File "<stdin>", line 1, in ?
> AttributeError: 'numpy.ndarray' object has no attribute 'exp'
>
> I do not understand what's wrong. Any help?
Probably rpy (which still uses Numeric, right?) is exposing Numeric's exp()
implementation and overriding the one that you got from scipy (which is numpy's,
I presume). When Numeric's exp() is confronted with an object that it doesn't
recognize, it looks for a .exp() method to call.
If you want to avoid this situation in the future, don't use the "from foo
import *" form. It makes debugging problems like this difficult.
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth."
-- Umberto Eco
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