Hi to all, I need to calculate the hpergeometric distribution:
choose(r, x) * choose(b, n-x)
p(x; r,b,n) = -
choose(r+b, n)
choose(r,x) is the binomial coefficient
I use the factorial to calculate the above fo
Thanks to all of you guys, I could resolve my problem using the
logarithms as proposed by Robert. I needed to calculate the factorial
for genomic data, more specifically for the number of genes in the
human genome i.e. about 30.000 and that is a big number :-)
I didn't know gmpy
Thanks a lot, real
Thanks Steven for your very interesting post.
This was a critical instance from my problem:
>>>from scipy import comb
>>> comb(14354,174)
inf
The scipy.stats.distributions.hypergeom function uses the scipy.comb
function, so it returned nan since it tries to divide an infinite. I
did not tried to
Well, what to say? I am very happy for all the solutions you guys have
posted :-)
For Paul:
I would prefer not to use Stirling's approximation
The problem with long integers is that to calculate the hypergeometric
I need to do float division and multiplication because integer division
returns 0.
Scott David Daniels ha scritto:
> You should really look into the timeit module -- you'll get nice
> solid timings slightly easier to tweak.
This seems a very interesting module, I will give it a try as soon as
possible. Thanks Scott.
Ale
--
http://mail.python.org/mailman/listinfo/python-list
Bengt Richter wrote:
> ISTM you wouldn't get zero if you scaled by 10**significant_digits (however
> many
> you require) before dividing. E.g., expected hits per trillion (or septillion
> or whatever)
> expresses probability too. Perhaps that could work in your calculation?
>
> Regards,
> Bengt
Bengt Richter wrote:
> ISTM you wouldn't get zero if you scaled by 10**significant_digits (however
> many
> you require) before dividing. E.g., expected hits per trillion (or septillion
> or whatever)
> expresses probability too. Perhaps that could work in your calculation?
>
> Regards,
> Beng
Travis E. Oliphant wrote:
> Notice the keyword for the comb function (in scipy) lets you use it to
> compute exact values. SciPy does not just automatically use the long
> integer because this will always slow you down.
>
> comb(N, k, exact=0)
>
> Combinations of N things taken k at a time.
>
>
. and hence the
hypergeometric returns nan.
The first suggestion, the one by Robert Kern, resolved my problem:
Raven wrote:
>Thanks to all of you guys, I could resolve my problem using the
>logarithms as proposed by Robert.
Then the other guys gave alternative solutions so I tried them out.
Hi,
I compiled a python script using cxFreeze because I need a standalone
application, while the Windows version runs without any python
installation the linux version of the executable is linked to
libpython2.3.so.1.0 => /usr/lib/libpython2.3.so.1.0
thus the end user have to install python 2.3
I hope this can help:
http://wxwidgets.org/manuals/2.6.1/wx_wxtreectrl.html#wxtreectrlsetitemfont
http://wxwidgets.org/manuals/2.6.1/wx_wxtreectrl.html#wxtreectrlsetitembold
This pages are from the wxwidgets api reference but the functions are
the same in wxPython
Bye
Ale
--
http://mail.pytho
On 25 дек, 06:47, "Joel Koltner" wrote:
> Is there an easy-to-use, "function"-based cross-platform GUI toolkit for
> Python out there that's a little more sophisticated than EasyGui? EasyGui
> looks good, but it's a little more restrictive than what I'd like to have, yet
> I'm (stubbornly :-) ) r
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