Beautiful! That should do the trick. Now let's see how this performs against
the
list comprehension...
Thanks a lot!
Raik
Rick White wrote:
Here's a technique that works:
Python 2.4.2 (#5, Nov 21 2005, 23:08:11)
[GCC 4.0.0 20041026 (Apple Computer, Inc. build 4061)] on darwin
Type help,
On Sun, Feb 1, 2009 at 12:24 AM, Robert Kern robert.k...@gmail.com wrote:
On Sat, Jan 31, 2009 at 10:30, Sebastian Walter
sebastian.wal...@gmail.com wrote:
Wouldn't it be nice to have numpy a little more generic?
All that would be needed was a little check of the arguments.
If I do:
David Froger david.froger.info at gmail.com writes:
Hy,My question is about reading Fortran binary file (oh no this question
again...)
I've posted this before, but I finally got it cleaned up for the Cookbook.
For this purpose I use a subclass of file that has methods for reading
unformatted
I've been playing with __array_wrap__ to make quantities with units play
well with numpy's ufuncs. For example, __array_wrap__ makes it is possible
to do the following:
numpy.sqrt([1.,4.,9.]*m**2)
array([1.,2.,3.])*m
Is there an analog to __array_wrap__ for preprocessing arrays on their way
On Feb 1, 2009, at 6:32 PM, Darren Dale wrote:
Is there an analog to __array_wrap__ for preprocessing arrays on
their way *into* a ufunc? For example, it would be nice if one could
do something like:
numpy.sin([1,2,3]*arcseconds)
where we have the opportunity to inspect the context,
On Sun, Feb 1, 2009 at 7:33 PM, Pierre GM pgmdevl...@gmail.com wrote:
On Feb 1, 2009, at 6:32 PM, Darren Dale wrote:
Is there an analog to __array_wrap__ for preprocessing arrays on
their way *into* a ufunc? For example, it would be nice if one could
do something like:
Hi everyone.
I'd like to log the state of my program as it progresses. Using the
numpy.save / numpy.load functions on the same filehandle repeatedly works
very well for this -- but ends up making a file which very quickly grows to
gigabytes. The data compresses well, though, so I thought I'd use
2009/2/2 Matthew Miller mat...@mattdm.org:
I'd like to log the state of my program as it progresses. Using the
numpy.save / numpy.load functions on the same filehandle repeatedly works
very well for this -- but ends up making a file which very quickly grows to
gigabytes. The data compresses
On Mon, Feb 02, 2009 at 08:01:54AM +0200, Stéfan van der Walt wrote:
The GzipFile in Python 2.5 does not support the 2nd (whence)
argument. The solution may be to use this wrapper from the EffBot:
http://effbot.org/librarybook/gzip-example-2.py
In order to back-port that functionality.
