Le mercredi 15 août 2012 à 20:54 +0200, Ralf Gommers a écrit :
I was mixing it up a bit, but yes: the _odepack extension and the C
source for it. Not necessary to do that at once I guess, but wrapping
the same function twice is once too many.
And forgot in my first email: nice PR, looks
Thank you Josef, df can be less than 1 as long as it is nonnegative:
http://stat.ethz.ch/R-manual/R-patched/library/stats/html/Chisquare.html
Here is an example in R:
Z0-rchisq(2,df=0.5,ncp =2)
Z0
[1] 0.5056454 2.0427540
Thanks, Chuang
-Original Message-
From:
On Thu, Aug 16, 2012 at 9:05 AM, Yi, Chuang chuang...@bankofamerica.com wrote:
Thank you Josef, df can be less than 1 as long as it is nonnegative:
http://stat.ethz.ch/R-manual/R-patched/library/stats/html/Chisquare.html
Here is an example in R:
Z0-rchisq(2,df=0.5,ncp =2)
Z0
[1] 0.5056454
-Original Message-
From: numpy-discussion-boun...@scipy.org
[mailto:numpy-discussion-boun...@scipy.org] On Behalf Of josef.p...@gmail.com
Sent: Thursday, August 16, 2012 9:55 AM
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] QQ Plot in Python and Noncentral Chisquare
Hi,
I've just come across Travis Oliphant's array version of the game of life
here https://gist.github.com/3353411. It's a really nice example of how
to efficiently find neighbours using numpy and family. However, I wanted to
apply these ideas to higher order arrays (eg GRID being three
Hello,
Just to throw it in, if you do not mind useing scipy, you can use its
multidimensional correlate method instead:
stamp = np.ones((3,3,3))
stamp[1,1,1] = 0
num_neighbours = scipy.ndimage.correlate(x, stamp, mode='wrap'))
In the link np.roll is used to implement periodic boundaries
We are pleased to announce the release of FiPy 3.0.
http://www.ctcms.nist.gov/fipy
The bump in major version number reflects more on the substantial increase
in capabilities and ease of use than it does on a break in compatibility
with FiPy 2.x. Few, if any, changes to your existing scripts
Hi All,
once again, my apologies for a (possibly) very ignorant question,
my google-fu is failing me... also because I am not sure of what
exactly I should look for.
My problem is relatively simple. Let's assume I have two Python
objects, A and B, and one of their attributes can assume a
I have a pull request for a neighborhood function at
https://github.com/numpy/numpy/pull/303 . I think IMHO it handles these
problems quite handily. It does rely on my pad routine that is in Numpy
1.7, so you would need to get the 1.7 beta installed or install the
development branch.
For your
On Thu, Aug 16, 2012 at 3:27 PM, Andrea Gavana andrea.gav...@gmail.comwrote:
Hi All,
once again, my apologies for a (possibly) very ignorant question,
my google-fu is failing me... also because I am not sure of what
exactly I should look for.
My problem is relatively simple. Let's
Hi,
once again, my apologies for a (possibly) very ignorant question,
my google-fu is failing me... also because I am not sure of what
exactly I should look for.
My problem is relatively simple. Let's assume I have two Python
objects, A and B, and one of their attributes can assume a
Hi
I was just wondering if the current absence of 64bit builds was as a result
of an infrastructure or funding concern.
I like many now have only 64 bit systems and am using the unofficial builds.
If it was something we could raise funds to resolve, how much? Or is it
more complex than that?
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