Hi,
I just used easy_install to get the latest version of numpy. Is this
the "preferred" method for installing?
I'm on a G5 w/mac OS X 10.4 and MacPython 2.4.
I'm wondering why the os-related file names that easy_install creates
have macosx-10.3 in them (as opposed to 10.4), e.g.
creatin
Thanks again for the input. You've been really helpful.
On Dec 29, 2006, at 8:47 PM, Eric Firing wrote:
> As far as I know, your pythonmac package
> source is a good choice. I'm sure one of the many Mac users on this
> list can elaborate.
I won't go into the long tirade of problems I've run in
belinda thom wrote:
> Eric,
>
> Thanks for the well-thought-out answers to some of my recent posts.
>
> I've been using:
>
> http://pythonmac.org/packages/py24-fat/index.html
>
> for installing scipy, numpy, and matplotlib, as I didn't feel as
> confident installing things manually.
>
> Shou
Eric,
Thanks for the well-thought-out answers to some of my recent posts.
I've been using:
http://pythonmac.org/packages/py24-fat/index.html
for installing scipy, numpy, and matplotlib, as I didn't feel as
confident installing things manually.
Should I be using svn instead? (Is that what mos
belinda thom wrote:
> Hello,
>
> I've been going thru Dave Kuhlman's "SciPy Course Outline" (http://
> www.rexx.com/~dkuhlman/scipy_course_01.html) and found out about test
> functions -- very cool. Except that on my end, not all tests pass
> (appended below). Is this a problem for other peop
Hello,
I've been going thru Dave Kuhlman's "SciPy Course Outline" (http://
www.rexx.com/~dkuhlman/scipy_course_01.html) and found out about test
functions -- very cool. Except that on my end, not all tests pass
(appended below). Is this a problem for other people? Is it something
I should w
On Friday 29 December 2006 00:39, Vincent Nijs wrote:
> Eike:
> I think I can figure out how to add a plot method. However, if you
> have some more suggestions on how to implement the getAtTime,
> extract, and set methods you mentioned that would be great.
Set method:
I thought of a method to chang
Thanks Francesc, but I am already planning to read the data in block-wise as
you suggest. My question is rather how best to update the subtotals for each
block in a parallel way using numpy efficiently, rather than a simplistic and
slow element-by-element loop.
I can't use a simple sum(), as in y
I just discovered the:
Scipy Superpack for OS X
http://trichech.us/?page_id=4
Maybe this will help folks looking for an OS_X Scipy build.
-Chris
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A Divendres 29 Desembre 2006 10:05, Stephen Simmons escrigué:
> Hi,
>
> I'm looking for efficient ways to subtotal a 1-d array onto a 2-D grid.
> This is more easily explained in code that words, thus:
>
> for n in xrange(len(data)):
> totals[ i[n], j[n] ] += data[n]
>
> data comes from a serie
Hi Stephen,
If you want to sum/average down a column or across a row you can use sum().
The optional axis={0,1} parameter determines whether you are summing down a
column (default or axis=0) or across a row (axis=1).
Greg
On 12/29/06, Stephen Simmons <[EMAIL PROTECTED]> wrote:
Hi,
I'm looking
Hi,
I'm looking for efficient ways to subtotal a 1-d array onto a 2-D grid. This
is more easily explained in code that words, thus:
for n in xrange(len(data)):
totals[ i[n], j[n] ] += data[n]
data comes from a series of PyTables files with ~200m rows. Each row has ~20
cols, and I use the fir
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