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 Fri, Aug 19, 2011 at 7:19 AM, Pauli Virtanen p...@iki.fi 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
remainder has the numerical
On Fri, Aug 19, 2011 at 8:01 AM, Brent Pedersen bpede...@gmail.com wrote:
On Fri, Aug 19, 2011 at 7:29 AM, Jeremy Conlin jlcon...@gmail.com wrote:
On Fri, Aug 19, 2011 at 7:19 AM, Pauli Virtanen p...@iki.fi wrote:
Fri, 19 Aug 2011 07:00:31 -0600, Jeremy Conlin wrote:
I would like to use
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
On Tue, Aug 2, 2011 at 9:09 AM, Brett Olsen brett.ol...@gmail.com wrote:
On Tue, Aug 2, 2011 at 9:44 AM, Jeremy Conlin jlcon...@gmail.com 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
On Tue, Aug 2, 2011 at 11:15 AM, Christopher Barker
chris.bar...@noaa.gov 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 should work.
In [11
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
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
So in order to
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 provide the answer I am looking
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.
A good exercise is to put some temporary
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,
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 fortran
download also
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