yourself to the
Attendees page if you're able to make it. Also, if you're planning to
attend, please send me the following information (to
[EMAIL PROTECTED]) so I can request wireless access for you during
the meeting:
- Full Name
- Phone or email
- Address
- Affiliation
Duncan Smith wrote:
> Hello,
> Since moving to numpy I've had a few problems with my existing
> code. It basically revolves around the numpy scalar types. e.g.
>
You will probably get more help on the numpy discussion list:
[EMAIL PROTECTED]
You are encountering problems because numpy sca
We are pleased to announce the release of NumPy 1.0.2
NumPy is a Python extension that provides a general-purpose
multi-dimensional array that can act as a container of arbitrary
raw-data formats (including bools, integers, floats, complex, Python
objects, string, unicode, and general C-struct
auditory wrote:
>>> While trying to install numpy accroding to its homepage.
>>> (http://numpy.scipy.org/numpydoc/numdoc.htm).
>>> i am quite confused.
>> You are reading old documentation for Numeric and so any installation
>> description is how to install the Numeric module (not its newer
>> re
auditory wrote:
> I am a newbie here
>
> I am trying to read "space separated floating point data" from file
>
> I read about csv module by searching this group,
> but I couldn't read space separated values with csv.
> (which may be matter of course..)
>
> I also read about numpy.fromfile(file,
oyekomova wrote:
> Thanks to everyone for their excellent suggestions. I was able to
> acheive the following results with all your suggestions. However, I am
> unable to cross file size of 6 million rows. I would appreciate any
> helpful suggestions on avoiding memory errors. None of the solutions
oyekomova wrote:
> Thanks for your help. I compared the following code in NumPy with the
> csvread in Matlab for a very large csv file. Matlab read the file in
> 577 seconds. On the other hand, this code below kept running for over 2
> hours. Can this program be made more efficient? FYI - The csv f
oyekomova wrote:
> Thanks for your help. I compared the following code in NumPy with the
> csvread in Matlab for a very large csv file. Matlab read the file in
> 577 seconds. On the other hand, this code below kept running for over 2
> hours. Can this program be made more efficient? FYI - The csv f
Tartifola wrote:
> Hi,
> how can I sort an array like
>
> array([[5, 2],
>[1, 3]])
>
> along the first column to obtain
>
> array([[1, 3],
>[5, 2]])
> i.e. keeping track of the ordered couples?
>
> Thanks,
> A
Just to add one more solution to this question that works with numpy
Rolf Wester wrote:
> Hi,
>
> I want to concatenate two numpy arrays with shape (n1,n2) and (n1,n3)
> into a single array with shape (n1,n2+n3). I guess there is an elegant
> way to do this but I couldn't figure it out. So any help is very much
> appreciated.
>
Suppose a1.shape is (n1,n2)
and
robert wrote:
> I'm using latest numpy & scipy. What is this problem ? :
>
import scipy.stats
> RuntimeError: module compiled against version 102 of C-API but this
> version of numpy is 109
> Traceback (most recent call last):
> File "", line 1, in ?
> File "C:\PYTHON23\Lib\site-
We are very pleased to announce the release of NumPy 1.0 available for
download at http://www.numpy.org
This release is the culmination of over 18 months of effort to allow
unification of the Numeric and Numarray communities. NumPy provides the
features of both packages as well as comparable
[EMAIL PROTECTED] wrote:
> Hello,
>
> I am ploting a fft periodogram of my data using a script (found in
> internet: http://linuxgazette.net/115/andreasen.html ) that gave me
> good results before. There should be a periodicity of >160 in the data
> as can be seen by eye. However, this script now
Robin Becker wrote:
> Hi, just trying to avoid wheel reinvention. I have need of an unsigned 32 bit
> arithmetic type to carry out a checksum operation and wondered if anyone had
> already defined such a beast.
>
> Our current code works with 32 bit cpu's, but is failing with 64 bit
> compariso
David Isaac wrote:
y
> [116, 114, 121, 32, 116, 104, 105, 115]
z=''.join(chr(yi) for yi in y)
z
> 'try this'
>
> What is an efficient way to do this if y is much longer?
> (A numpy solution is fine.)
Here's another numpy solution just for fun:
import numpy
z = numpy.array(y,dtype=
Juergen Kareta wrote:
> Hello,
>
> this is my first try to get wxmpl-1.2.8 running. Therefor I installed:
>
> python 2.5
> matplotlib-0.87.6.win32-py2.5.exe
> numpy-1.0rc3.win32-py2.5.exe
>
> on WinXP SP2
>
> The result is a version mismatch (see below).
>
> Numpy version 102 seems to be n
Martin v. Löwis wrote:
> [EMAIL PROTECTED] schrieb:
>> Anyone ever done this? It looks like Python2.4 won't take a length arg
>>> 2 Gig since its not seen as an int.
>
> What architecture are you on? On a 32-bit architecture, it's likely
> impossible to map in 2GiB, anyway (since it likely won't
Jia Lu wrote:
> Hi all
>
> I have a list like:
>
list
> [1, 2, 3]
list[1:]
> [2, 3]
>
> I want to get a string "2 3"
>
str(list[1:])
> '[2, 3]'
>
> How can I do that ?
>
" ".join(str(x) for x in list)
-Travis
--
http://mail.python.org/mailman/listinfo/python-list
[EMAIL PROTECTED] wrote:
> After using numeric for almost ten years, I decided to attempt to
> switch a large codebase (python and C++) to using numpy. Here's are
> some comments about how that went.
>
> - The code to automatically switch python stuff over just kind of
> works. But it was a 90% so
goetzie wrote:
> I am using Python 2.4.1 and Numeric 23.8 and running on Windows XP. I
> am passing a Numeric array of strings (objects) to a C Extension module
> using the following python code:
Numeric 23.8 is *very* old and unsupported. Unless you absolutely have
to use Numeric (then use 24
Brendon Towle wrote:
> I need to simulate scenarios like the following: "You have a deck of
> 3 orange cards, 5 yellow cards, and 2 blue cards. You draw a card,
> replace it, and repeat N times."
>
Thinking about the problem as drawing sample froms a discrete
distribution defined by the popu
Bruce Who wrote:
> Hi, Travis
>
> I can pack my scripts into an executable with py2exe, but errors occur
> once it runs:
I suspect you need to force-include the numpy/core/_internal.py file by
specifying it in your setup.py file as explained on the py2exe site.
That module is only imported by t
The 4th beta release of NumPy 1.0 has just been made available.
NumPy 1.0 represents the culmination of over 18 months of work to unify
the Numeric and Numarray array packages into a single best-of-breed
array package for Python.
NumPy supports all the features of Numeric and Numarray with a he
TG wrote:
> Hi there.
>
> I am working with multi-dimensional arrays and I need to get
> coordinates of the min value in it.
>
> using myarray.argmin() returns the index in the flatten array, which is
> a first step, but I wonder if it is possible to get the coordinates
> directly as an array, ra
greenflame wrote:
> I am trying to reorder elements of a list and I am stuck as to what
> might be the best way to approach this. I have a (main) list of
> elements and another (ordering) list (which is may shorter, but not
> longer than the main list) which contains the order in which I want the
Grant Edwards wrote:
> On 2006-05-27, Travis E. Oliphant <[EMAIL PROTECTED]> wrote:
>
>> Not that you made a bad choice. I do wonder, how much of your
>> difficulty was with the interface to the underlying fitpack
>> routines.
>
> I've no idea. I ha
cesco wrote:
> Hi,
>
> I wanted to install python, numpy and matplotlib on Linux Ubuntu.
> I installed python with the following commands
> ./configure --enable-unicode=ucs4
> [snip]
> running build_ext
> building 'matplotlib.backends._ns_backend_agg' extension
> gcc options: '-pthread -fno-strict
Grant Edwards wrote:
> On 2006-05-27, Travis E. Oliphant <[EMAIL PROTECTED]> wrote:
>
>>> I need to interpolate an irregularly spaced set of sampled
>>> points: Given a set of x,y,z points, I need to interpolate z
>>> values for a much finer x,y gri
Grant Edwards wrote:
> I need to interpolate an irregularly spaced set of sampled
> points: Given a set of x,y,z points, I need to interpolate z
> values for a much finer x,y grid.
How many x,y,z points do you have?
Did you try the fitpack function bisplrep in scipy? It can work well as
long as
ago wrote:
> Once I vectorize a function it does not acccept scalars anymore. Es
>
> def f(x): return x*2
> vf = vectorize(f)
> print vf(2)
>
> AttributeError: 'int' object has no attribute 'astype'
>
> Is this the intended behaviour?
>
Vectorize handles scalars in recent versions of NumPy. W
NumPy 0.9.8 has been released. It can be downloaded from
http://numeric.scipy.org
The release notes are attached.
Best regards,
-Travis Oliphant
NumPy 0.9.8 is a bug-fix and optimization release with a
few new features. The C-API was changed so that extensions compiled
against
[EMAIL PROTECTED] wrote:
> I'm running operations large arrays of floats, approx 25,000 x 80.
> Python (scipy) does not seem to come close to using 4GB of wired mem,
> but segments at around a gig. Everything works fine on smaller batches
> of data around 10,000 x 80 and uses a max of ~600mb of mem
cesco wrote:
> Hi,
>
> I'm trying to install the numpy library (precisely
> numpy-0.9.6-py2.4-linux-i686) on Linux but I encounter several
This is a dumb pre-built binary package (useful perhaps because it links
against ATLAS already) built using distutils.
You don't build it and install it usi
drife wrote:
> Hello,
>
> I use the Python Numeric package extensively, and had been an
> avid user of the "old" scipy. In my view, both pieces of software
> are truly first rate, and have greatly improved my productivity in
> the area of scientific analysis. Thus, I was excited to make the
> tran
[EMAIL PROTECTED] wrote:
> Terry Reedy wrote:
>
>>"kpp9c" <[EMAIL PROTECTED]> wrote in message
>>news:[EMAIL PROTECTED]
>>
>>>Numeric, Numarray, & Numpy... some one stick a screwdriver in my
>>>forehead and end the madness that Numeric has become.
>>
>>>For crying all night! Numpy was Numeric's ni
vinjvinj wrote:
> I read some of the earlier threads which essentially said that numpy is
> about 3-4 times slower then Numeric for smaller arrays. I'm assuming
> that applies only to operations that apply to the whole arrays.
>
> I was curious how the performance of the following operations would
Thomas Gellekum wrote:
> "Travis E. Oliphant" <[EMAIL PROTECTED]> writes:
>
>
>> - Improvements to numpy.distutils
>
>
> Stupid questions: is it really necessary to keep your own copy of
> distutils and even install it? What's wrong with the
Brian Blais wrote:
> Hello,
>
> In my attempt to learn python, migrating from matlab, I have the following
> problem.
> Here is what I want to do, (with the wrong syntax):
>
> from numpy import *
>
> t=arange(0,20,.1)
> x=zeros(len(t),'f')
>
> idx=(t>5)
> tau=5
> x[idx]=exp(-t[idx]/tau) # <-
NumPy is the successor to both Numeric and Numarray. It builds from and
uses code from both.
More information can be found at the following links
http://numeric.scipy.org
http://www.scipy.org
http://sourceforge.net/project/showfiles.php?group_id=1369&package_id=175103
Highlights of Release:
Tim Hochberg wrote:
> mclaugb wrote:
>
>
> No, Scientific Python is "a collection of Python modules that are useful
> for scientific computing" written by Konrad Hinsen. I'm not a user, but
> you can find information here:
>
> http://starship.python.net/~hinsen/ScientificPython/
>
> Sci
mclaugb wrote:
> Is Scipy the same thing as ScientificPython?
No. They are two separate projects. Scientific Python is still
Numeric-only. SciPy 0.3.x is Numeric-based and SciPy 0.4.x is NumPy-based.
The developers for NumPy are also the developers for SciPy (for the most
part).
There is a
Sheldon wrote:
> Hi everyone,
>
> I have a short program the writes the output data to an acsii file:
>
> import sys
> import os
> import string
> import gisdata
> from Numeric import *
>
> def latlon(area_id, i, j):
> lon_file = "lon_%s.dat" % area_id
> flon= open(lon_file, 'wa'
Bo Peng wrote:
> Dear list,
>
> I have a C++-SWIG-wrapped python module. The running time for one of the
> functions is pretty unpredictable so I would like to profile it.
> However, the python profiler does not seem to enter the compiled module
> (.so file). Is there a way to profile the C++ f
Tuvas wrote:
> I have a function in a program that works something like this.
>
> def load_pic_data(width,heigth,inpdat, filt=TRUE):
> data=''
> total=0
> tnum=0
> size=100
> for y in range(0,heigth):
> row=''
> for x in range
J wrote:
> I will just jump in an use NumPy. I hope this one will stick and evolve
> into the mother of array packages.
> How stable is it ? For now I really just need basic linear algebra.
> i.e. matrix multiplication, dot, cross etc
>
There is a new release coming out this weekend. It's close
Krish wrote:
> Hello People
>
> I hope I am On Topic. Anyways, here is my problem. Any insights would
> be really appreciated.
Posting to the [EMAIL PROTECTED] list would help
generate more responses, I think.
>
> I have wrapped a C IO module using SWIG -> Python Module. Suppose the
> name of
bblais wrote:
> In Python, there seems to be a couple ways of doing things. I could
> write it in one window, and from a Unix shell call
>python myscript.py
> and be like C++, but then I lose the interactiveness which makes
> prototyping easier. If I use the python sh
Philip Austin wrote:
> "Travis E. Oliphant" <[EMAIL PROTECTED]> writes:
>
>
>>Krish wrote:
>
>
>>Yes, you are right that you need to use typemaps. It's been awhile
>>since I did this kind of thing, but here are some pointers.
>
Raven wrote:
> Thanks Steven for your very interesting post.
>
> This was a critical instance from my problem:
>
>
from scipy import comb
>>>
comb(14354,174)
>
> inf
>
> The scipy.stats.distributions.hypergeom function uses the scipy.comb
> function, so it returned nan since it tries t
jelle wrote:
> I have a function that uses the Numeric module. When I launch the
> function csrss.exe consumes 60 / 70 % cpu power rather than having
> python / Numeric run at full speed. Has anyone encountered this problem
> before? It seriously messes up my Numeric performance.
>
Are you memory
MKoool wrote:
> Is there any decent library for basic stats? I am just looking for the
> basics, like quartiles, median, standard deviation, mean, min, max,
> regression, etc.
>
> I was going to use SciPy, but I use Python 2.4, and it seems to be
> supported primarily for 2.3...
>
> What other s
Adam Endicott wrote:
> Does anyone know anything about PythonMagick? I've got a project that
> could use ImageMagick, so I went looking around for PythonMagick, and
> I'm a bit lost.
>
> I was able to download the PythonMagick source from the ImageMagick
> site, but I'm on Windows and don't have t
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