Hi,
I'm working on a project that requires interpolation, and I found this
post (http://mail.python.org/pipermail/python-list/2000-August/050462.html
) which works fine on my linux box (which seems to have Numeric
installed), but does not work on my windows platform because the
arrayfns module
I am trying to use scipy optimize module but I am having problem when
I try to import it:
import numpy
import scipy
from scipy import optimize
Traceback (most recent call last):
File stdin, line 1, in ?
File /Library/Frameworks/Python.framework/Versions/2.4/lib/
I have problem to install numarray on cygwin. I have seen emails on that
topic but I finally do not have a solution.
Below is the error message for numarray-1.5.2 on python 2.4.3. I am
using numarray instead of numpy because I need the module to be
compatible with a software : MAT
On Mar 10, 3:30 pm, Steven H. Rogers [EMAIL PROTECTED] wrote:
Thanks to all who responded to my question about teaching array
programming. I've compiled a brief summary of the responses.
Fortran 90 and later versions of the language can be used to teach
array programming, since the language
On Mar 10, 3:30 pm, Steven H. Rogers [EMAIL PROTECTED] wrote:
Thanks to all who responded to my question about teaching array
programming. I've compiled a brief summary of the responses.
Fortran 90 and 95 can and are being used to teach array programming,
since the language allows operations
Hi folks:
How are you?
I am a newbie to the Numpy. Today, I have downloaded numpy-1.0.1.win32-py2.5.exe
from the web site of
http://sourceforge.net/project/showfiles.php?group_id=1369package_id=175103
I double clicked on the numpy-1.0.1.win32-py2.5.exe and the installation seems
to run
Hi Folks:
On the second try, I use the Python Shell to open a file named
C:\Python25\Lib\site-package\numpy\setup.py
and run it on the Pythono Shell. I got the following message:
Python 2.5 (r25:51908, Sep 19 2006, 09:52:17) [MSC v.1310 32 bit (Intel)] on
win32
Type copyright, credits or
Mark P. Miller wrote:
Robert: Just a thought on this topic:
Would it be possible for the Scipy folks to add a new module based
solely off your old mtrand code (pre-broadcast)? I have to say that the
mtrand code from numpy 0.9.8 has some excellent advantages over the core
python random
Hello,
After running a simulation that took 6 days to complete, my script
proceeded to attempt to write the results out to a file, pickled.
The operation failed even though there was 1G of RAM free (4G machine).
I've since reconsidered using the pickle format for storing data sets
that
Thank you both for your replies - the difference is clear to me now.
Actually, sorry, I'm still confused!
If I want to be able to have a/0 be inf (for a!=0), then why does that
stop 0/0 from being nan?
In Python, a/0 gives a divide-by-zero error for any a, but in numpy, I
can ignore
Haw-Jye Shyu wrote:
Hi folks:
How are you?
I am a newbie to the Numpy. Today, I have downloaded
numpy-1.0.1.win32-py2.5.exe
from the web site of
http://sourceforge.net/project/showfiles.php?group_id=1369package_id=175103
I double clicked on the numpy-1.0.1.win32-py2.5.exe and the
Haw-Jye Shyu wrote:
Hi Folks:
On the second try, I use the Python Shell to open a file named
C:\Python25\Lib\site-package\numpy\setup.py
and run it on the Pythono Shell.
Don't. It's not useful once installed. It's just for building from source.
--
Robert Kern
I have come to believe
Christopher Ball wrote:
In Python, a/0 gives a divide-by-zero error for any a, but in numpy, I
can ignore divide-by-zero errors. If I do this, why can't I still have
0/0 be nan?
seterr(divide='ignore')
a=array([0],dtype=float_)
b=array([0],dtype=float_)
divide(a,b)
gives nan, so why
Well, there were no responses to my earlier email proposing changes to
numpy.bincount() to make it faster and more flexible. Does this mean
noone is using bincount? :-)
Anyway I've now made the proposed modifications and got substantial
speedups of 3-10. Details are in this extract from my C
Hi all,
just a quick (and easy?) question.
what is the best (fastest) way to implement the euclidean norm of a vector,
i.e. the function:
import scipy as S
def norm(x):
normalize a vector.
return S.sqrt(S.sum(S.absolute(x)**2))
?
thanks in advance,
Lorenzo.
Hi,
Hi, guys.
I'm trying to install numpy from subversion on my Powerbook 12, from
a fresh install (Mac OS X 10.4.8). I downloaded the official universal
Python 2.5 from python.org, and installed GCC
(powerpc-apple-darwin8-gcc-4.0.0) from XCode.
Installation fails with the message:
Howdy Folks,
I was missing the good ole days of using Matlab back at the Uni when I
could debug my code, stop at breakpoints and plot various data without
fear of blocking the interpreter process.
Using ipython -pylab is what has been suggested to me in the past,
but the problem is I don't do my
There is numpy.linalg.norm.
Here's what it does:
def norm(x, ord=None):
x = asarray(x)
nd = len(x.shape)
if ord is None: # check the default case first and handle it immediately
return sqrt(add.reduce((x.conj() * x).ravel().real))
if nd == 1:
if ord == Inf:
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