On Tue, 27 Feb 2007, Steven H. Rogers apparently wrote:
I'm doing an informal survey on the use of Array
Programming Languages for teaching. If you're using NumPy
in this manner I'd like to hear from you. What subject
was/is taught, academic level, results, lessons learned,
etc.
I'm
I've been using Numpy arrays for some work recently. Just for fun, I
compared some representative code using Numpy arrays and an object
comprised of nested lists to represent my arrays. To my surprise, the
array of nested lists outperformed Numpy in this particular application
(in my actual
On Feb 28, 2007, at 7:32 PM, Joe Harrington wrote:
Hi Steve,
I have taught Astronomical Data Analysis twice at Cornell using IDL,
and I will be teaching it next Fall at UCF using NumPy. Though I've
been active here in the recent past, I'm actually not a regular NumPy
user myself yet (I
On Mar 1, 2007, at 11:03 AM, Mark P. Miller wrote:
I've been using Numpy arrays for some work recently. Just for fun, I
compared some representative code using Numpy arrays and an object
comprised of nested lists to represent my arrays. To my surprise, the
array of nested lists
Interesting...
I also tried the following and got similar results (using a 1,000 x
1,000 arrays). The time required to initialize the nested list array
was much higher (but nonetheless small in the context of the overall
time that my programs will run). But array element access is always
Hi all,
I'm posting this message to announce the availability of the *second
alpha release of PyTables 2.0*, the new and shiny major version of
PyTables.
This release settles the file format used in this major version,
removing the need to use pickled objects in order to store system
attributes,
Steven H. Rogers wrote:
Travis Oliphant wrote:
I just wanted to point people to the online version of the PEP. I'm
still looking for comments and suggestions. The current version is here:
http://projects.scipy.org/scipy/numpy/browser/trunk/numpy/doc/pep_buffer.txt
-Travis
Hi
Hi -- the last dmg distribution was for numpy version 0.9.6. Is there
any chance of having dmg distributions posted for the current version
please?
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Mark P. Miller wrote:
I've been using Numpy arrays for some work recently. Just for fun, I
compared some representative code using Numpy arrays and an object
comprised of nested lists to represent my arrays. To my surprise, the
array of nested lists outperformed Numpy in this particular
On 3/1/07, Mark P. Miller [EMAIL PROTECTED] wrote:
I've been using Numpy arrays for some work recently. Just for fun, I
compared some representative code using Numpy arrays and an object
comprised of nested lists to represent my arrays. To my surprise, the
array of nested lists outperformed
##imports
import numpy as NP
from numpy.random import randint
#numpy array code
array1 = NP.zeros((50,50), int)
def random1():
c = array1(randint(10), randint(10))
Is this a bug? You can't call an array. Did you mean,
array1[randint(10), randint(10)]?
Good catch...I
Sorry to pester, but is this the intended behavior of itemset?
array1=numpy.zeros((10,10),int)
array1
array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0,
El dj 01 de 03 del 2007 a les 12:03 -0700, en/na Mark P. Miller va
escriure:
Sorry to pester, but is this the intended behavior of itemset?
array1=numpy.zeros((10,10),int)
array1
array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0,
There are binaries of 1.0.1 here:
http://pythonmac.org/packages/py24-fat/index.html
and here:
http://pythonmac.org/packages/py25-fat/index.html
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/NOS/ORR(206) 526-6959 voice
7600 Sand Point Way
try with
array1.itemset((5,5),9)
Yep...tried that. But I don't get it!
import numpy
array1 = numpy.zeros((10,10),int)
array1
array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
El dj 01 de 03 del 2007 a les 12:47 -0700, en/na Mark P. Miller va
escriure:
try with
array1.itemset((5,5),9)
Yep...tried that. But I don't get it!
import numpy
array1 = numpy.zeros((10,10),int)
array1
array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0,
Ops, this seems a bug with your numpy version:
In [46]:array1 = numpy.zeros((10,10),int)
In [47]:array1.itemset((5,5),9)
In [48]:array1
Out[48]:
array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0,
Hi,
I don't think there is a solution for this, but perhaps anybody may
offer some idea. Given:
In [79]:a=numpy.arange(9,-1,-1)
In [80]:b=numpy.arange(10)
In [81]:numpy.random.shuffle(b)
In [82]:b
Out[82]:array([2, 6, 3, 5, 4, 9, 0, 8, 7, 1])
In [83]:a=a[b]
In [84]:a
Out[84]:array([7, 3, 6, 4,
On 3/1/07, Francesc Altet [EMAIL PROTECTED] wrote:
Hi,
I don't think there is a solution for this, but perhaps anybody may
offer some idea. Given:
In [79]:a=numpy.arange(9,-1,-1)
In [80]:b=numpy.arange(10)
In [81]:numpy.random.shuffle(b)
In [82]:b
Out[82]:array([2, 6, 3, 5, 4, 9, 0, 8, 7, 1])
On 3/1/07, Charles R Harris [EMAIL PROTECTED] wrote:
On 3/1/07, Francesc Altet [EMAIL PROTECTED] wrote:
Hi,
I don't think there is a solution for this, but perhaps anybody may
offer some idea. Given:
In [79]:a=numpy.arange(9,-1,-1)
In [80]:b=numpy.arange(10)
In
On 3/1/07, Francesc Altet [EMAIL PROTECTED] wrote:
Hi,
I don't think there is a solution for this, but perhaps anybody may
offer some idea. Given:
In [79]:a=numpy.arange(9,-1,-1)
In [80]:b=numpy.arange(10)
In [81]:numpy.random.shuffle(b)
In [82]:b
Out[82]:array([2, 6, 3, 5, 4, 9, 0, 8, 7, 1])
El dj 01 de 03 del 2007 a les 13:26 -0700, en/na Charles R Harris va
escriure:
On 3/1/07, Francesc Altet [EMAIL PROTECTED] wrote:
Hi,
I don't think there is a solution for this, but perhaps
anybody may
offer some idea. Given:
In
On 3/1/07, Francesc Altet [EMAIL PROTECTED] wrote:
El dj 01 de 03 del 2007 a les 13:26 -0700, en/na Charles R Harris va
escriure:
On 3/1/07, Francesc Altet [EMAIL PROTECTED] wrote:
Hi,
I don't think there is a solution for this, but perhaps
anybody may
On 01/03/07, Francesc Altet [EMAIL PROTECTED] wrote:
Hi,
I don't think there is a solution for this, but perhaps anybody may
offer some idea. Given:
In [79]:a=numpy.arange(9,-1,-1)
In [80]:b=numpy.arange(10)
In [81]:numpy.random.shuffle(b)
In [82]:b
Out[82]:array([2, 6, 3, 5, 4, 9, 0, 8, 7,
On Mar 1, 2007, at 13:33 , Rudolf Sykora wrote:
Hello,
since noone has reacted to my last e-mail yet (for several days), I
feel the need to ask again (since I still do not know a good answer).
Please help me.
Hello everybody,
I wonder how I could most easily accomplish the following:
Francesc Altet wrote:
Ops, this seems a bug with your numpy version:
yup, it's a bug here too:
numpy.__version__
'1.0.1'
this is the dmg for python2.5 on pythonmac.org/packages
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/NOS/ORR(206) 526-6959
Mark P. Miller wrote:
Ops, this seems a bug with your numpy version:
In [46]:array1 = numpy.zeros((10,10),int)
In [47]:array1.itemset((5,5),9)
In [48]:array1
Out[48]:
array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0,
Mark P. Miller wrote:
Now however, I'm seeing perhaps a more serious problem: The test
program that I'm working with went from taking ~80 seconds to run to
taking over 10 minutes to run. I've rolled back to my old numpy version
and confirmed that the old version was much faster. I also
A ticket was posted that emphasizes that the current behavior of NumPy
with regards to scalar coercion is different than numarray's behavior.
If we were pre 1.0, I would probably change the behavior to be in-line
with numarray. But, now I think it needs some discussion because we are
Alan G Isaac wrote:
On Tue, 27 Feb 2007, Steven H. Rogers apparently wrote:
I'm doing an informal survey on the use of Array
Programming Languages for teaching. If you're using NumPy
in this manner I'd like to hear from you. What subject
was/is taught, academic level, results,
On 3/1/07, Mark P. Miller [EMAIL PROTECTED] wrote:
OK...here goes. This code is going to look goofy, so please bear in
mind that it is only an abstraction of what my real code does (which
happens to provide interesting and meaning insights!).
I've attached saved versions of my interactive
Charles R Harris wrote:
Looks like function call overhead has gone way up or the cost of
returning a float vs an array has gone way up. The loop overhead is
about .01 and not significant. So something is definitely wrong here.
Time to go look in trac ;)
It might have been when Travis put in
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