> try starting with the tutorial:
> http://www.scipy.org/Tentative_NumPy_Tutorial
>
> For example, to extract an array containing the maxima of each row of
> mymatrix, you can use the amax() function:
>
> temp = numpy.amax(mymatrix, axis=1)
>
>
thanx..had a tuff time finding the functions..will
On Dec 27, 2007 10:50 PM, Jarrod Millman <[EMAIL PROTECTED]> wrote:
> > I also think that the above wiki page should have a minimal,
> > self-contained example of a proper docstring with all 8 sections
> > implemented. I'm honestly not sure at this point what the actual
> > changes to epydoc are
On Dec 27, 2007 9:41 PM, Fernando Perez <[EMAIL PROTECTED]> wrote:
> Care to make the Example section mandatory, instead of optional? I
> really think it should be mandatory. We may not do a good job of it
> initially, but at least we should express that it's of critical
> importance that every f
On Dec 27, 2007 10:27 PM, Jarrod Millman <[EMAIL PROTECTED]> wrote:
> Since this is our first doc-day, it will be fairly informal. Travis
> is going to be trying to get some estimate of which packages need the
> most work. But if there is some area of NumPy or SciPy you are
> familiar with, plea
On Dec 27, 2007 7:42 PM, Travis E. Oliphant <[EMAIL PROTECTED]> wrote:
> Doc-day will start tomorrow (in about 12 hours). It will be Friday for
> much of America and be moving into Saturday for Europe and Asia. Join
> in on the irc.freenode.net (channel scipy) to coordinate effort. I
> imaging
On 27/12/2007, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
> in my code i am trying to normalise a matrix as below
>
> mymatrix=matrix(..# items are of double type..can be negative
> values)
> numrows,numcols=mymatrix.shape
>
> for i in range(numrows):
> temp=mymatrix[i].max()
>
in my code i am trying to normalise a matrix as below
mymatrix=matrix(..# items are of double type..can be negative
values)
numrows,numcols=mymatrix.shape
for i in range(numrows):
temp=mymatrix[i].max()
for j in range(numcols):
mymatrix[i,j]=abs(mymatrix[i,j]/t
Doc-day will start tomorrow (in about 12 hours). It will be Friday for
much of America and be moving into Saturday for Europe and Asia. Join
in on the irc.freenode.net (channel scipy) to coordinate effort. I
imaging people will be in an out. I plan on being available in IRC from
about 9:3
Looks like the web site & svn are up for me.
Bryce
Fernando Perez wrote:
> Any chance it might be brought back up? (I'm trying to commit the
> weave cleanup work Min did at the sprint...)
>
> Thanks,
>
> f
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On Dec 19, 2007 11:52 AM, Travis E. Oliphant <[EMAIL PROTECTED]> wrote:
> Testing
> -
> * scipy unit-testing will be "nose-compliant" and therefore nose will
> be required to run the SciPy tests.
> * NumPy will still use the current testing framework but will support
> SciPy's desire t
On Dec 27, 2007 2:11 PM, Jarrod Millman <[EMAIL PROTECTED]> wrote:
> I restarted httpd. It is still slow, but seems to be responsive now.
> Let me know if it still isn't working.
SVN is working again, thanks.
Cheers,
f
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I restarted httpd. It is still slow, but seems to be responsive now.
Let me know if it still isn't working.
On Dec 27, 2007 1:04 PM, Fernando Perez <[EMAIL PROTECTED]> wrote:
> Any chance it might be brought back up? (I'm trying to commit the
> weave cleanup work Min did at the sprint...)
>
> Th
Any chance it might be brought back up? (I'm trying to commit the
weave cleanup work Min did at the sprint...)
Thanks,
f
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Lot of nonuniform distributions, see numpy.random module.
Nadav.
-Original Message-
From: [EMAIL PROTECTED] on behalf of dikshie
Sent: Thu 27-Dec-07 17:45
To: numpy-discussion@scipy.org
Subject: [Numpy-discussion] non uniform random number generator
hi,
does numpy support non unifor
Hi,
Of course, look in the numpy.random module.
Matthieu
2007/12/27, dikshie <[EMAIL PROTECTED]>:
>
> hi,
> does numpy support non uniform random number generator ?
>
> regards,
>
> -dikshie-
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hi,
does numpy support non uniform random number generator ?
regards,
-dikshie-
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Hi Bruce,
I have to add that I don't know the answer to your question either, but I do
know that it is solvable and that once the list experts return,
enlightenment will soon follow. My confidence comes from knowing the Python
internals for how left and right multiplication are performed. As lon
I should have added: This structure worked with the older version of
VPython which used Numeric, but it doesn't work in the beta version
which uses numpy. Since I don't know enough about either numpy or Boost,
I'm left guessing which subsystem is the source of my difficulties, and
clueless abou
Thanks for the comment, which limits the range of possible solutions.
The VPython vector class is implemented in C++, not in Python. I made up
the simple test in my previous note to try out the solution that had
been offered and which you have usefully ruled out. Here is the relevant
part of th
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