In article [EMAIL PROTECTED],
RickMuller [EMAIL PROTECTED] wrote:
Use numpy; it is the officially blessed one that you refer to. It
has all of the advantages of the other two.
Numeric was the first library, but it had some drawbacks that led some
people to develop Numarray, which had some
as numeric. HTH.
On 2/15/07, Christian Convey [EMAIL PROTECTED] wrote:
I need to bang out an image processing library (it's schoolwork, so I
can't just use an existing one). But I see three libraries competing
for my love: numpy, numarray, and numeric.
Can anyone recommend which one I should use
On Feb 15, 11:23 pm, Frank [EMAIL PROTECTED] wrote:
On Feb 15, 4:40 pm, Christian Convey [EMAIL PROTECTED]
wrote:
I need to bang out an image processing library (it's schoolwork, so I
can't just use an existing one). But I see three libraries competing
for my love: numpy, numarray
I need to bang out an image processing library (it's schoolwork, so I
can't just use an existing one). But I see three libraries competing
for my love: numpy, numarray, and numeric.
Can anyone recommend which one I should use? If one is considered the
officially blessed one going forward
On Feb 15, 5:40 pm, Christian Convey [EMAIL PROTECTED]
wrote:
I need to bang out an image processing library (it's schoolwork, so I
can't just use an existing one). But I see three libraries competing
for my love: numpy, numarray, and numeric.
Can anyone recommend which one I should use
On Feb 15, 4:40 pm, Christian Convey [EMAIL PROTECTED]
wrote:
I need to bang out an image processing library (it's schoolwork, so I
can't just use an existing one). But I see three libraries competing
for my love: numpy, numarray, and numeric.
Can anyone recommend which one I should use
just a note - some speed comparisons :
timeit.Timer('x=a-a*.1','import
Numeric;a=Numeric.ones(300,Numeric.Float)').timeit(1)
0.60627370238398726
timeit.Timer('x=a-a*.1','import
numarray;a=numarray.ones(300,numarray.Float)').timeit(1)
0.42836673376223189
timeit.Timer('x=a-a*.1
Alex Martelli [EMAIL PROTECTED] wrote in message
news:[EMAIL PROTECTED]
I'll voice a heretic thought: me, I'm sticking with good old Numeric
until the situation with the newer packages settles down.
Not much of a heresy, I think. The numpy site recommends that *new* users
start with numpy
Terry Reedy wrote:
Alex Martelli [EMAIL PROTECTED] wrote in message
news:[EMAIL PROTECTED]
I'll voice a heretic thought: me, I'm sticking with good old Numeric
until the situation with the newer packages settles down.
Not much of a heresy, I think. The numpy site recommends that *new*
*
comments...
thanks
-bruce
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Behalf
Of Robert Kern
Sent: Tuesday, July 04, 2006 9:42 PM
To: python-list@python.org
Subject: Re: numarray
bruce wrote:
hi...
i'm trying to find numarray.. i found
hi...
i'm trying to find numarray.. i found the numpy on sourceforge and
downloaded/installed..
i did a
python import numarray
and got an error...
the docs that i've seen point to the sourceforge area.. but i only see
numpy.. which appears to incorporate numarray..
my goal is to somehow
bruce wrote:
hi...
i'm trying to find numarray.. i found the numpy on sourceforge and
downloaded/installed..
i did a
python import numarray
and got an error...
Never just say I got an error. It tells us nothing. Copy-and-paste the exact
error message. I presume, however, that you
-bruce
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Behalf
Of Robert Kern
Sent: Tuesday, July 04, 2006 9:42 PM
To: python-list@python.org
Subject: Re: numarray
bruce wrote:
hi...
i'm trying to find numarray.. i found the numpy on sourceforge and
downloaded
bruce wrote:
robert
i did an
python import numpy
a = array([['q','a'],['w','e']])
and it didn't work...
i used
from import numpy *
and it seems to accept the 'array' word.. .looks like it will work...
what's the difference between 'import numpy', and from import
Bryan [EMAIL PROTECTED] wrote:
...
so, was Numarray written *before* NumPY, or was it a reimplementation of
NumPy which implies it came *after* NumPy? it seems clear that Numeric is
the old one and i read is not being worked on anymore. so that leaves
Numarray and numpy. which
hi,
what is the difference among numeric, numpy and numarray? i'm going to start
using matplotlib soon and i'm not sure which one i should use.
this page says, Numarray is a re-implementation of an older Python array
module
called Numeric
http://www.stsci.edu/resources/software_hardware
Bryan wrote:
hi,
what is the difference among numeric, numpy and numarray? i'm going to start
using matplotlib soon and i'm not sure which one i should use.
this page says, Numarray is a re-implementation of an older Python array
module
called Numeric
http://www.stsci.edu/resources
Simon Percivall wrote:
Bryan wrote:
hi,
what is the difference among numeric, numpy and numarray? i'm going to
start
using matplotlib soon and i'm not sure which one i should use.
Look again at numeric.scipy.org, and this time: read the whole page,
especially the section called
Simon Percivall wrote:
Bryan wrote:
hi,
what is the difference among numeric, numpy and numarray? i'm going to start
using matplotlib soon and i'm not sure which one i should use.
this page says, Numarray is a re-implementation of an older Python array
module
called Numeric
http
Bryan wrote:
at the end of that page, it says:
Numarray is another implementation of an arrayobject for Python written after
Numeric and before NumPy. Sponsors of numarray have indicated they will be
moving to NumPy as soon as is feasible for them so that eventually numarray
Ben Sizer wrote:
Bryan wrote:
at the end of that page, it says:
Numarray is another implementation of an arrayobject for Python written
after
Numeric and before NumPy. Sponsors of numarray have indicated they will be
moving to NumPy as soon as is feasible for them so that eventually
Bryan == Bryan [EMAIL PROTECTED] writes:
Bryan hi, what is the difference among numeric, numpy and
Bryan numarray? i'm going to start using matplotlib soon and i'm
Bryan not sure which one i should use.
numpy is the successor to numarray and Numeric. All three do
basically
Bryan [EMAIL PROTECTED] writes:
on the python wiki
NumArray is the current reimplementation of NumPy.
http://wiki.python.org/moin/NumArray
so, was Numarray written *before* NumPY, or was it a reimplementation of
NumPy
which implies it came *after* NumPy?
I clarified that wiki page
Bryan wrote:
hi,
what is the difference among numeric, numpy and numarray? i'm going to start
using matplotlib soon and i'm not sure which one i should use.
There's a reasonably complete telling (and up-to-date!) of the history behind
these packages here:
http://www.scipy.org
hello everyone!
sorry to disturb you with this, but i really cant find anything
suitable about the topic in the numarray documentation.
how can i find in an efficient way the index of the last occurrence of
a given element in a numarray array?
many thanks in advance!
--
http://mail.python.org
[EMAIL PROTECTED] wrote:
how can i find in an efficient way the index of the last occurrence of
a given element in a numarray array?
Something like that:
where(arange(100) == 10)
(array([10]),)
_[-1][-1]
10
Or:
your_array = arange(10)
value = 3
indices = where(your_array == value
thanks alot!!
--
http://mail.python.org/mailman/listinfo/python-list
,
for speed and ufuncs
numarray fits the bill perfectly, especially since system.coordinates
[4] would return proper vector for a 5th point.
To start, read the coordinates from a text file and add them to our
array one by one.
Here it gets un-elegant and probably wasteful for a large number of
points
coordinates individually,
for speed and ufuncs
numarray fits the bill perfectly, especially since system.coordinates
[4] would return proper vector for a 5th point.
BTW, numpy is replacing numarray, so if you're just getting started, you will
probably want to be using numpy.
http
coordinates individually,
for speed and ufuncs
numarray fits the bill perfectly, especially since system.coordinates
[4] would return proper vector for a 5th point.
To start, read the coordinates from a text file and add them to our
array one by one.
Here it gets un-elegant and probably wasteful
numarray
gram.UInt32ToBool(ni)
array([1, 0, 0, ..., 0, 0, 0], type=Bool)
numarray.all(numarray.equal(n,gram.UInt32ToBool(gram.BoolToUInt32(n
1
n
array([1, 0, 0, ..., 0, 0, 0], type=Bool)
n.shape
(1024,)
numarray.all(numarray.equal(n,gram.UInt32ToBool(gram.BoolToUInt32(n
1
--
http
hello everyone
would anyone please tell me what is the best (fastest) way of replacing
values in numarray arrays?
lets say i have an array that may contain 0s, and i just want to get
rid of those 0s by replacing them with another number. what would be
the most efficient way to do that?
many
[EMAIL PROTECTED] wrote:
hello everyone
would anyone please tell me what is the best (fastest) way of replacing
values in numarray arrays?
lets say i have an array that may contain 0s, and i just want to get
rid of those 0s by replacing them with another number. what would be
the most
I believe it is something like
a[a==0] = 5
Note that numarray will eventually be replaced by Scipy/Numpy at some
time, but this wouldn't change the basic stuff.
Cheers,
Bas
--
http://mail.python.org/mailman/listinfo/python-list
,])
initial_statements = 'import numarray; the_array =
numarray.array(int(1.0e6) * [1.0, 0.0])'
t1 = timeit.Timer(first_way, initial_statements)
t2 = timeit.Timer(second_way, initial_statements)
t3 = timeit.Timer(some_third_way, initial_statements)
print '1st way takes', round(t1.timeit(number=100) / 100, 4
I need to be able to store thousands of one-million-length bit arrays.
The first operations use the operator. But eventually I must perform
an inner product with a one-million-length integer array (summing at
all the indices of the integer operand where the boolean operand has a
1).
If I use
Ahh, I figured it out. The key is to set up the shapes so they
broadcast like an outerproduct, but using bitwise_and as the operation
and the second operand as the bit filter. So we temporarily expand
each bit to a byte for numarray to be able to use it for dot products.
If you use a temporary
Robert Kern wrote:
Sébastien Boisgérault wrote:
By the way, I tried numpy 0.9.4 10 minutes ago and guess
what ? 'eigenvalue' is broken too ... (hangs forever)
On what platform? Are you linking against an optimized BLAS? We can't fix
anything without details. I'll be happy to work with
Robert Kern wrote:
Sébastien Boisgérault wrote:
By the way, I tried numpy 0.9.4 10 minutes ago and guess
what ? 'eigenvalue' is broken too ... (hangs forever)
On what platform?
Linux, Mandriva 2006 (gcc 4.0.1, etc.)
Are you linking against an optimized BLAS?
Nope -- I tried the basic
Sébastien Boisgérault wrote:
Robert Kern wrote:
Sébastien Boisgérault wrote:
By the way, I tried numpy 0.9.4 10 minutes ago and guess
what ? 'eigenvalue' is broken too ... (hangs forever)
On what platform?
Linux, Mandriva 2006 (gcc 4.0.1, etc.)
Okay, my answer then is, Don't use gcc 4.
[EMAIL PROTECTED] wrote:
Robert Kern wrote:
Sébastien Boisgérault wrote:
By the way, I tried numpy 0.9.4 10 minutes ago and guess
what ? 'eigenvalue' is broken too ... (hangs forever)
On what platform? Are you linking against an optimized BLAS? We can't fix
anything without
Robert Kern wrote:
Sébastien Boisgérault wrote:
Robert Kern wrote:
Sébastien Boisgérault wrote:
By the way, I tried numpy 0.9.4 10 minutes ago and guess
what ? 'eigenvalue' is broken too ... (hangs forever)
On what platform?
Linux, Mandriva 2006 (gcc 4.0.1, etc.)
Okay, my
J [EMAIL PROTECTED] writes:
I hope the title of this message indicates my question. I am looking
for basic
array functionality in Python and it turns out that there are all these
packages which
are somehow related. Some are allegedly discontinued but still seem to
get updated.
It's well
On Sat, 21 Jan 2006, Robert Kern wrote:
Tom Anderson wrote:
Pardon my failure to RTFM, but does NumPy pick up the vecLib BLAS on Macs?
Yes.
Excellent, thanks.
tom
--
forget everything from school -- you are programmer
--
http://mail.python.org/mailman/listinfo/python-list
Robert Kern wrote:
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
Same concern for me.
I discovered
Sébastien Boisgérault wrote:
By the way, I tried numpy 0.9.4 10 minutes ago and guess
what ? 'eigenvalue' is broken too ... (hangs forever)
On what platform? Are you linking against an optimized BLAS? We can't fix
anything without details. I'll be happy to work with you on this bug over on the
Basically all I need is vectors and 3x3 matrices.
hmm
is numpy really efficient for 3x3 (or 4x4) matrices and vectors?
IMHO an optimized matrix4x4 class can be much faster (i'm just guessing
here)
eg cgtypes is a simple c++ implementation with boost-python wrapper:
Szabolcs Nagy wrote:
Basically all I need is vectors and 3x3 matrices.
hmm
is numpy really efficient for 3x3 (or 4x4) matrices and vectors?
IMHO an optimized matrix4x4 class can be much faster (i'm just guessing
here)
eg cgtypes is a simple c++ implementation with boost-python
about which package will or
may or should survive ?
I started to use numarray, but I have a bug that I just cannot find a
solution for, so I started
to look around again. Basically I want to provide scripting support to
a graphics engine. All the
matrices and vectors are in C++ and all I
Ok, I will look at NumPy ...
I have another question about performance. Are the array operations
such as matrix multiplication implemented in
python or in C ? I was under the impression that the function calls in
numarray are only wrappers to C code, but now I suspect that matrix
multiplicaiton
J wrote:
Ok, I will look at NumPy ...
I have another question about performance. Are the array operations
such as matrix multiplication implemented in
python or in C ? I was under the impression that the function calls in
numarray are only wrappers to C code, but now I suspect that matrix
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
Cheers
--
http://mail.python.org/mailman/listinfo/python-list
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
That stuff isn't going to change on you.
--
Robert Kern
[EMAIL
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 closer to
On Sat, 21 Jan 2006, Travis E. Oliphant wrote:
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
Tom Anderson wrote:
Pardon my failure to RTFM, but does NumPy pick up the vecLib BLAS on Macs?
Yes.
--
Robert Kern
[EMAIL PROTECTED]
In the fields of hell where the grass grows high
Are the graves of dreams allowed to die.
-- Richard Harter
--
package will or
may or should survive ?
I started to use numarray, but I have a bug that I just cannot find a
solution for, so I started
to look around again. Basically I want to provide scripting support to
a graphics engine. All the
matrices and vectors are in C++ and all I want to do is provide
about which package will or
may or should survive ?
I started to use numarray, but I have a bug that I just cannot find a
solution for, so I started
to look around again. Basically I want to provide scripting support to
a graphics engine. All the
matrices and vectors are in C++ and all I
J wrote:
Hi
I hope the title of this message indicates my question. I am looking
for basic
array functionality in Python and it turns out that there are all these
packages which
are somehow related. Some are allegedly discontinued but still seem to
get updated. Could we start a discussion
Claudio Grondi wrote:
I decided to use numarray, so maybe you can report what your problem/bug
is before I run into it myself? The reason why I decided to use numarray
was, that the whole scpy_core story seems to get more or less commercial
and its free version comes because
Mandus wrote:
Tue, 20 Dec 2005 19:32:13 +0530 skrev Suresh Jeevanandam:
Hi all,
Lets say I have an array:
from numarray import *
a = array([ 6, 7, 8, 9, 10, 11, 12])
I want to multiply out all the elements and get the result.
r = 1.0
for i
Hi all,
Lets say I have an array:
from numarray import *
a = array([ 6, 7, 8, 9, 10, 11, 12])
I want to multiply out all the elements and get the result.
r = 1.0
for i in a:
r = r*i
Is there any faster, efficient
Tue, 20 Dec 2005 19:32:13 +0530 skrev Suresh Jeevanandam:
Hi all,
Lets say I have an array:
from numarray import *
a = array([ 6, 7, 8, 9, 10, 11, 12])
I want to multiply out all the elements and get the result.
r = 1.0
for i
Suresh Jeevanandam wrote:
Hi all,
Lets say I have an array:
from numarray import *
a = array([ 6, 7, 8, 9, 10, 11, 12])
I want to multiply out all the elements and get the result.
r = 1.0
for i in a:
r = r*i
Numarray is an array processing package designed to efficiently
manipulate large multi-dimensional arrays. Numarray is modelled after
Numeric and features c-code generated from python template scripts,
the capacity to operate directly on arrays in files, arrays of
heterogeneous records, string
Hi all,
I am a new convert to Mac OSX. I want to start using python under
darwin and I need to install numarray. I've downloaded and extracted
numarray-1.4.1 in the python folder, installed gcc 4.0 from the OSX
disc. When I run python setup.py install i still get an error message
saying that gcc
Austin's 'num_util' and Paulo J. S.
Silva's 'COIN' example, but even from those two, I can't figure out a
way to do: Python 2D numarray -- C++ (process array) -- Python 2D
numarray.
I forgot about weave - I had looked there before and will revisit it
to see if it will work. But I was intending to do
at Phillip Austin's 'num_util' and Paulo J. S.
Silva's 'COIN' example, but even from those two, I can't figure out a
way to do: Python 2D numarray -- C++ (process array) -- Python 2D
numarray.
I may be missing something, but what I've done in the past for this is have the
C++ code simply reuse
I want to pass a 2D array from Python to C++, manipulate it in C++ (for
example, add 1 to each element) and pass it back to Python.
With these building blocks I will be able to figure out all the rest of
what I need to do for my project. I am very familiar with Python, but
less so with C++ and
PL wrote:
I want to pass a 2D array from Python to C++, manipulate it in C++ (for
example, add 1 to each element) and pass it back to Python.
With these building blocks I will be able to figure out all the rest of
what I need to do for my project. I am very familiar with Python, but
less
#No rant intended
I'm not at all confused wether I should learn an one of the advanced
array modules, I'm slightly confused over which I should pick up. I'm
impressed with the efforts of SciPy and Scientific, but since I'm
fairly new to programming OO, choosing Numarray over Numeric hasnt
been
jelle wrote:
#No rant intended
I'm not at all confused wether I should learn an one of the advanced
array modules, I'm slightly confused over which I should pick up. I'm
impressed with the efforts of SciPy and Scientific, but since I'm
fairly new to programming OO, choosing Numarray over
I have the following python script:
###
from numarray import *
while 1:
a=arange(1,3)
b=a*100/100
del a
del b
###
This script crashes after a few minutes with an error:
MemoryError
Bernhard Reimar Hoefle wrote:
I have the following python script:
###
from numarray import *
while 1:
a=arange(1,3)
b=a*100/100
del a
del b
###
This script crashes after a few
Sorry, I make the mistakes. I have known how to use to/fromstring
method to interface between PIL and Numarray.
And your code does work.
Another question. Just like the code you provide, is it possible to
directly load image data from PIL to Numarray array without use of
to/fromstring method
Python advertises some basic service:
C:\Python24python
Python 2.4.1 (#65, Mar 30 2005, 09:13:57) [MSC v.1310 32 bit (Intel)] on
win32
Type help, copyright, credits or license for more information.
With numarray, help gives unhelpful responses:
import numarray.numarraycore as _n
c= _n.array
Colin J. Williams wrote:
Python advertises some basic service:
C:\Python24python
Python 2.4.1 (#65, Mar 30 2005, 09:13:57) [MSC v.1310 32 bit (Intel)] on
win32
Type help, copyright, credits or license for more information.
With numarray, help gives unhelpful responses:
import
Colin J. Williams wrote:
With numarray, help gives unhelpful responses:
import numarray.numarraycore as _n
c= _n.array((1, 2))
print 'rank Value:', c.rank
print 'c.rank Help:', help(c.rank)
c.rank returns a Python integer object.
if you pass in an object to help(), help figures out what
Fredrik Lundh wrote:
Colin J. Williams wrote:
With numarray, help gives unhelpful responses:
import numarray.numarraycore as _n
c= _n.array((1, 2))
print 'rank Value:', c.rank
print 'c.rank Help:', help(c.rank)
c.rank returns a Python integer object.
Fredrik,
Thanks to Robert Kern
hi, everybody here,
I am a newbie to python. I encounter a problem that how to convert
an array of numarray to pil object. For example, the data in an image
is extracted using Image.getdata, then the data are converted into an
array in numarray. But when the array is needed to convert
Thanks. But some problems remain.
I have known using Image.tostring/fromstring and
numarray.tostring/fromstring can do the job. But when confronting
multi-spectral images, e.g., RGB color images, I don't know how to do
it. Could you give some advices on that?
You wrote In [14]: img =
the error and the exception that is raised and
the versions of PIL and numarray that you are using.
--
Robert Kern
[EMAIL PROTECTED]
In the fields of hell where the grass grows high
Are the graves of dreams allowed to die.
-- Richard Harter
--
http://mail.python.org/mailman/listinfo/python-list
Xiangyi wrote:
Hi, there,
I got the following segmentation fault.
from numarray import *
a = zeros((5,100), Float64)
b = kroneckerproduct(a, identity(12))
segmentation fault
If I use a = zeros((5,100)), everything is fine. Kind of weird!
Can someone help me figure it out? BTW
a = range(100)
b = [a] * 3
b[1] = [k + i for k, i in zip(b[1], b[2])]
This is rather slow in python and I thought that kind of things should
be written using numeric or numarray. I tried to read trough manuals
but it didn't help me. So how is this done using numeric or numarray?
--
http
proof wrote:
a = range(100)
b = [a] * 3
b[1] = [k + i for k, i in zip(b[1], b[2])]
This is rather slow in python and I thought that kind of things should
be written using numeric or numarray. I tried to read trough manuals
but it didn't help me. So how is this done using numeric
Hello,
do you know any way to record a sound from the soundcard on winXP to a
numarray?
many thanks
Daniel
--
http://mail.python.org/mailman/listinfo/python-list
No there is not. Hey, you could write one though.
--
http://mail.python.org/mailman/listinfo/python-list
Hi, there,
I got the following segmentation fault.
from numarray import *
a = zeros((5,100), Float64)
b = kroneckerproduct(a, identity(12))
segmentation fault
If I use a = zeros((5,100)), everything is fine. Kind of weird!
Can someone help me figure it out? BTW, the python version
Xiangyi wrote:
Hi, there,
I got the following segmentation fault.
from numarray import *
a = zeros((5,100), Float64)
b = kroneckerproduct(a, identity(12))
segmentation fault
If I use a = zeros((5,100)), everything is fine. Kind of weird!
Can someone help me figure it out? BTW
python 2.4.1
numarray 1.3.1
works ok here. I'd try numarray 1.3.1 and see if it is unique to your
version. Also, if you built it yourself, you might make sure you have
sane CFLAGS.
[EMAIL PROTECTED] ~ $ python
Python 2.4.1 (#1, Sep 3 2005, 16:55:52)
[GCC 3.4.4 (Gentoo 3.4.4-r1, ssp-3.4.4-1.0
Xiangyi [EMAIL PROTECTED] wrote in message
news:[EMAIL PROTECTED]
I got the following segmentation fault.
from numarray import *
a = zeros((5,100), Float64)
b = kroneckerproduct(a, identity(12))
segmentation fault
If I use a = zeros((5,100)), everything is fine. Kind of weird!
Can
thread,
including the initial issue submission, for this request,
not just the latest update.
Category: None
Group: None
Status: Closed
Resolution: Invalid
Priority: 5
Submitted By: LovePanda (lovepanda)
Assigned to: Nobody/Anonymous (nobody)
Summary: numarray in debian python 2.4.1
Initial Comment
recent call last):
File stdin, line 1, in ?
File /usr/lib/python2.4/site-packages/numarray/numarraycore.py, line
1137, in mean
return self.sum()/(self.nelements()*1.0)
File /usr/lib/python2.4/site-packages/numarray/numarraycore.py, line
1133, in sum
return ufunc.add.reduce
recent call last):
File stdin, line 1, in ?
File /usr/lib/python2.4/site-packages/numarray/numarraycore.py, line
1137, in mean
return self.sum()/(self.nelements()*1.0)
File /usr/lib/python2.4/site-packages/numarray/numarraycore.py, line
1133, in sum
return ufunc.add.reduce
it in debian:
Traceback (most recent call last):
File stdin, line 1, in ?
File /usr/lib/python2.4/site-packages/numarray/numarraycore.py, line
1137, in mean
return self.sum()/(self.nelements()*1.0)
File /usr/lib/python2.4/site-packages/numarray/numarraycore.py, line
1133
Robert and Terry-
Thank you so much for helping me on this!
Yes, it's a problem due to an old version of numarray. I didn't realize that
my windows has a much newer version than the debian machine.
Best,
Xiangyi
- Original Message -
From: Robert Kern [EMAIL PROTECTED]
To: python-list
thread,
including the initial issue submission, for this request,
not just the latest update.
Category: None
Group: None
Status: Open
Resolution: None
Priority: 5
Submitted By: LovePanda (lovepanda)
Assigned to: Nobody/Anonymous (nobody)
Summary: numarray in debian python 2.4.1
Initial Comment:
Hi
of the comment thread,
including the initial issue submission, for this request,
not just the latest update.
Category: None
Group: None
Status: Open
Resolution: None
Priority: 5
Submitted By: LovePanda (lovepanda)
Assigned to: Nobody/Anonymous (nobody)
Summary: numarray in debian python 2.4.1
Initial
of the comment thread,
including the initial issue submission, for this request,
not just the latest update.
Category: None
Group: None
Status: Open
Resolution: None
Priority: 5
Submitted By: LovePanda (lovepanda)
Assigned to: Nobody/Anonymous (nobody)
Summary: numarray in debian python 2.4.1
Initial
of the comment thread,
including the initial issue submission, for this request,
not just the latest update.
Category: None
Group: None
Status: Open
Resolution: None
Priority: 5
Submitted By: LovePanda (lovepanda)
Assigned to: Nobody/Anonymous (nobody)
Summary: numarray in debian python 2.4.1
Initial
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