On 19/09/2007, Travis E. Oliphant <[EMAIL PROTECTED]> wrote:
> Anne Archibald wrote:
> > vectorize, of course, is a good example of my point above: it really
> > just loops, in python IIRC, but conceptually it's extremely handy for
> > doing exactly what the OP wanted. Unfortunately vectorize() doe
Suppose I import cpuinfo on a Win32 platform::
Python 2.5.1 (r251:54863, Apr 18 2007, 08:51:08) [MSC
v.1310 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> numpy.__version__
'1.0.3.1'
>>> from numpy.d
Jörgen Stenarson wrote:
> Hi,
>
> I cannot compile numpy (rev 2042) for python2.4 on win32, it works on
> python2.5. It looks like the call to function get_build_architecture in
> distutils.misc_util.py is python2.5 specific.
>
Yes. This needs to be fixed. I'll do it.
Can you try the curr
David Cournapeau wrote:
> Hi,
>
>Starting thinking over the whole distutils thing, I was thinking
> what people would think about using scons inside distutils to build
> extension. The more I think about it, the more I think than distutils
> not being maintained, and numpy/scipy building needs
Christopher Hanley wrote:
> Hi,
>
> The latest version of numpy has a unit test failure on big endian machines.
>
Thanks Chris,
Do you know which version last succeeded?
-Travis
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Anne Archibald wrote:
> On 21/08/07, Timothy Hochberg <[EMAIL PROTECTED]> wrote:
>
>
>> This is just a general comment on recent threads of this type and not
>> directed specifically at Chuck or anyone else.
>>
>> IMO, the emphasis on avoiding FOR loops at all costs is misplaced. It is
>> often
Hello all,
On several occasions, I've had the need to find only the first
occurrence of a value in an unsorted numpy array. I usually use
numpy.where(arr==val)[0] or similar, and don't worry about the fact
that I'm iterating across the entire array.
However, sometimes the arrays are pretty
