On Sun, Feb 8, 2015 at 5:28 PM, wrote:
> On Sun, Feb 8, 2015 at 4:56 PM, Matthew Brett
> wrote:
> > Hi,
> >
> > On Sun, Feb 8, 2015 at 1:39 PM, Simon Wood wrote:
> >>
> >>
> >> On Sun, Feb 8, 2015 at 4:24 PM, Stefan Reiterer wrote:
On Sun, Feb 8, 2015 at 4:24 PM, Stefan Reiterer wrote:
> I don't think this is a good comparison, especially since broadcasting is
> a feature not a necessity ...
> It's more like turning off/on driving assistance.
>
> And as already mentioned: other matrix languages also allow it, but they
> war
with some other similar calls.
I'm using NumPy 1.6.2.
Thanks in advance,
Simon
14:21:46.77 @ C:\Users\simon
>python
Python 2.7.3 (default, Apr 10 2012, 23:31:26) [MSC v.1500 32 bit (Intel)]
on win32
Type "help", "copyright", "credits" or "license"
Hi,
I have been using h5py a lot (both on windows and Mac OSX) and can only
recommend it- haven't tried the other options though
Cheers,
Simon
On Tue, Jun 21, 2011 at 8:24 PM, Derek Homeier <
de...@astro.physik.uni-goettingen.de> wrote:
> On 21.06.2011, at 7:58PM, Nea
that only
standard libraries and numpy will be below 5 mb.
Cheers,
Simon
On Mon, Mar 21, 2011 at 9:30 AM, Paul Anton Letnes <
paul.anton.let...@gmail.com> wrote:
>
> On 20. mars 2011, at 16.08, Ben Smith wrote:
>
> >
> > So, in addition to my computer science work, I&
consider,
actually from an advice via this list, the module h5py, which has a nice
numpy interface to the hdf5 file format. It seemed more clear to me with the
h5py-module, what was being buffered on disk and what was stored in RAM.
Cheers,
Simon
On Sun, Oct 24, 2010 at 2:15 AM, David Cournapeau
Thanks for the references to these libraries - they seem to fix my problem!
Cheers,
Simon
On Thu, Jun 17, 2010 at 2:58 PM, davide wrote:
> You may have a look to the nice python-h5py module, which gives an OO
> interface to the underlying hdf5 file format. I'm using it for stor
lices and might have a
problem with platform dependency (byte order).
Hope that someone can help, cheers,
Simon
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Hi,
I am trying to profile a bit of code I have written using cProfile. When I
run it I get the message:
TypeError: unhashable type: 'numpy.ndarray'
I am using runctx with some local variables which are ndarrays.
I am guessing that this is a lmitation of either cProfile or numpy or the
mix of
Bit of a newb question I suspect...
I have a matrix and a vector which has the same number of elements as the
matrix has rows. I want to multiply each element in a row in the matrix by
the corresponding element in the vector. I can obviously do this with a
loop, but am guessing there is a more
her here or probably better to simplejson.
On Mon, Nov 10, 2008 at 5:58 PM, Christopher Barker
<[EMAIL PROTECTED]>wrote:
> Simon Palmer wrote:
> > What, if any, header information from numarray gets put in the bytes by
> > tostring(), especially as I have n dimensions?
>
>
.
On Mon, Nov 10, 2008 at 5:36 PM, Robert Kern <[EMAIL PROTECTED]> wrote:
> On Mon, Nov 10, 2008 at 11:25, Simon Palmer <[EMAIL PROTECTED]>
> wrote:
> > Does anyone have a recommendation of a library/method for serialization
> of
> > numpy arrays to and from text
Does anyone have a recommendation of a library/method for serialization of
numpy arrays to and from text (specifically for the purposes of embedding in
XML)? I don't want to use pickle or tostring() because my XML has to be
consumable across a variety of programming environments.
I'm currently us
Thanks very much everyone, this has been very helpful. I have been doing
some timing of my own and the order of magnitude difference that numpy
provides wins. I'm learning python as I go so some of my questions come
from a lack of language skillls, but it is good to get to know the numpy
dialect
At the risk of uttering a heresy, are you bound to Python for this? I bet
you could find a C library that will work well, plus it is not a hard
algorithm to code yourself. I am pretty sure I have used a numerical
recipes algorithm for regression in my distant past.
Also I can't help thinking the
using all the data. As scientists this is obvious, as a
lay person, and particularly a business person, it appears to be madness.
The fewer leaps of faith necessary the better.
On Wed, Jun 11, 2008 at 7:34 PM, Anne Archibald <[EMAIL PROTECTED]>
wrote:
> 2008/6/10 Simon Palmer <
clustering yes, hierarchical no.
On Wed, Jun 11, 2008 at 4:55 PM, Charles R Harris <[EMAIL PROTECTED]>
wrote:
>
>
> On Wed, Jun 11, 2008 at 9:33 AM, Simon Palmer <[EMAIL PROTECTED]>
> wrote:
>
>> Pretty simple. I don't do any transformations. It is a
ms of performance
and scalability. A fast and efficient solution to this issue would make a
huge difference to me.
On Wed, Jun 11, 2008 at 1:05 AM, Robert Kern <[EMAIL PROTECTED]> wrote:
> On Tue, Jun 10, 2008 at 18:53, Simon Palmer <[EMAIL PROTECTED]>
> wrote:
> > Hi I have
Hi I have a problem which involves the creation of a large square matrix
which is zero across its diagonal and symmetrical about the diagonal i.e.
m[i,j] = m[j,i] and m[i,i] = 0. So, in fact, it is a large triangular
matrix. I was wondering whether there is any way of easily handling a
matrix of
Python 2.4.3
numpy 1.0.4
although this isn't python 2.5, there's clearly something up with my Windows
install of numpy 1.0.4.
I'll stick with numpy 1.0.3.1 for now.
If anybody wants to chase down the problem with 1.0.4, let me know and I'
Charles R Harris gmail.com> writes:
>
>
> On Jan 8, 2008 6:49 PM, Simon gmail.com> wrote:
> Newbie here. Trying to generate eigenvalues from a matrix using:print
numpy.linalg.eigvals(matrix)This works with small matrices, say 5 x 5, but
causes python to crash on largermatri
x27;t worked
out if there is a specific matrix size where this starts occurring. Where to
now?
I can send the actual data for the matrix if need be, but as it's very large I
thought it would mess up the list if I posted it here.
Simon
___
pe('|S3') # This could also be 'Sxxx' where xxx is the
length of the largest string in the array
Alternatively, as a hackjob type check you could also do an
"isinstance" check on the first element of the array since, unlike
lists, arrays have uniform elements all the way
Use a week functions are basically function that you use for a short
period of time where a full fledged well designed program is more of a
waste of time than anything else. Other then that, for what you miss
it really, really depends on your applications and goals. I work on
signal processing and
Actually, all the points in this thread have been very good points but
I just want to add my 2 cents since I was in your boat just a month
ago and decided to try out python after seeing what it could do.
In short, I decided to look elsewhere as I was dealing with vector
data in database and mainta
er
than it actually is and I am quite frankly afraid of writing routines
in one format and realizing later that it creates problems that I need
to rewrite.
I have tried searching for previous similar posts but could not find
any. My apologies if this is a repeat or a severly dumb question.
Regards,
Si
Awww, this is quite right. I kept using the a[0][:] notation and I
assume I am simply pulling out single arrays from the array "list".
Thank you very much for the prompt reply. (And sorry for wasting your
time :P)
On Mar 29, 3:46 pm, Travis Oliphant <[EMAIL PROTECTED]> wrote
Hi,
I am relatively new to Python/NumPy switching over from Matlab and
while porting some of my matlab code for practice I ran into the
following problem.
Assume we have a 2D Matrix such that
a = array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
If I want the second row I
The last time I had this problem i ended up running python
in gdb and setting breakpoints at the appropriate dgemm calls.
That way i could see exactly what numpy was using to do dgemm.
Simon.
On Tue, 27 Mar 2007 10:20:41 +1000
"Justin Bedo" <[EMAIL PROTECTED]> wrote:
> Hi A
On 10 Mar 2007 16:57:30 +, Alexander Schmolck <[EMAIL PROTECTED]>
wrote:
"Simon Wood" <[EMAIL PROTECTED]> writes:
> To all,
> I came across an old thread in the archives in which Alexander Schmolck
gave
> an example of a Matlab like matrix formatter
To all,
I came across an old thread in the archives in which Alexander Schmolck gave
an example of a Matlab like matrix formatter he authored for Python. Is this
formatter still available some where? Or has anyone else done anything
similar?
-Simon
P.S. Here is a short example of the output
On Fri, 26 Jan 2007 10:17:58 -0700
"Mark P. Miller" <[EMAIL PROTECTED]> wrote:
>
> for a in range(100):
> b = numpy.random.rand()#numpy code
what about numpy.random.rand(100) ?
Simon.
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