On Fri, Aug 19, 2011 at 9:23 AM, Warren Weckesser
wrote:
>
>
> On Fri, Aug 19, 2011 at 10:09 AM, Jeremy Conlin wrote:
>>
>> On Fri, Aug 19, 2011 at 8:01 AM, Brent Pedersen
>> wrote:
>> > On Fri, Aug 19, 2011 at 7:29 AM, Jeremy Conlin
>> > wrote:
On Fri, Aug 19, 2011 at 8:01 AM, Brent Pedersen wrote:
> On Fri, Aug 19, 2011 at 7:29 AM, Jeremy Conlin wrote:
>> On Fri, Aug 19, 2011 at 7:19 AM, Pauli Virtanen wrote:
>>> Fri, 19 Aug 2011 07:00:31 -0600, Jeremy Conlin wrote:
>>>> I would like to use numpy'
On Fri, Aug 19, 2011 at 7:19 AM, Pauli Virtanen wrote:
> Fri, 19 Aug 2011 07:00:31 -0600, Jeremy Conlin wrote:
>> I would like to use numpy's memmap on some data files I have. The first
>> 12 or so lines of the files contain text (header information) and the
>> remain
I would like to use numpy's memmap on some data files I have. The
first 12 or so lines of the files contain text (header information)
and the remainder has the numerical data. Is there a way I can tell
memmap to skip a specified number of lines instead of a number of
bytes?
Thanks,
Jeremy
On Tue, Aug 2, 2011 at 11:15 AM, Christopher Barker
wrote:
> On 8/2/11 8:38 AM, Jeremy Conlin wrote:
>> Thanks, Brett. Using StringIO and numpy.loadtxt worked great. I'm
>> still curious why what I was doing didn't work. Everything I can see
>> indicates it shou
On Tue, Aug 2, 2011 at 9:09 AM, Brett Olsen wrote:
> On Tue, Aug 2, 2011 at 9:44 AM, Jeremy Conlin wrote:
>> I am trying to create a numpy array from some text I'm reading from a
>> file. Ideally, I'd like to create a structured array with the first
>> element
I am trying to create a numpy array from some text I'm reading from a
file. Ideally, I'd like to create a structured array with the first
element as an int and the remaining as floats. I'm currently
unsuccessful in my attempts. I've copied a simple script below that
shows what I've done and the wro
I have a need to index my array(s) starting with a 1 instead of a 0.
The reason for this is to be consistent with the documentation of a
format I'm accessing. I know I can just '-1' from what the
documentation says, but that can get cumbersome.
Is there a magic flag I can pass to a numpy array (ma
On 2/6/07, Sturla Molden <[EMAIL PROTECTED]> wrote:
>
> > def __new__(cls,...)
> > ...
> > (H, edges) = numpy.histogramdd(..)
> > cls.__defaultedges = edges
> >
> > def __array_finalize__(self, obj):
> > if not hasattr(self, 'edges'):
> > self.edges = self.__defaultedges
>
On 2/5/07, Pierre GM <[EMAIL PROTECTED]> wrote:
> On Monday 05 February 2007 11:32:22 Jeremy Conlin wrote:
> > Thanks for clarifying that. I didn't understand what the
> > __array_finalize__ did.
>
> That means I should clarify some points on the wiki, then.
On 2/4/07, Pierre GM <[EMAIL PROTECTED]> wrote:
> On Sunday 04 February 2007 20:22:44 Jeremy Conlin wrote:
> > I have subclassed the numpy.ndarray object, but need some help setting
> > some attributes. I have read http://scipy.org/Subclasses but it
> > doesn't pro
I have subclassed the numpy.ndarray object, but need some help setting
some attributes. I have read http://scipy.org/Subclasses but it
doesn't provide the answer I am looking for.
I create an instance of the class in my __new__ method as:
import numpy
class MyClass(numpy.ndarray):
__new__(self,
On 1/24/07, Steve Lianoglou <[EMAIL PROTECTED]> wrote:
> Hi,
>
> >> I got gfortran from hpc.sourceforge.net. I just now noticed that my
> >> gcc is "experimental", I hope that isn't the issue.
> >
> > It probably is the issue.
>
> One thing to note is that (at least when I d/l'd it), the hpc fortr
I also have been unable to build numpy on OS X although my error(s)
are slightly different from the original poster. I just installed
python2.5 from the binary at python.org.
Python 2.5 (r25:51918, Sep 19 2006, 08:49:13)
[GCC 4.0.1 (Apple Computer, Inc. build 5341)] on darwin
Type "help", "copyri
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