Travis Oliphant wrote:
> David Cournapeau wrote:
>
>> Hi,
>>
>> While profiling some code, I noticed that sum in numpy is kind of
>> slow once you use axis argument:
>>
>>
> Yes, this is expected because when using an access argument, the
> following two things can happen
>
> 1
David Cournapeau wrote:
> Hi,
>
> While profiling some code, I noticed that sum in numpy is kind of
> slow once you use axis argument:
>
Yes, this is expected because when using an access argument, the
following two things can happen
1) You may be skipping over large chunks of memory
very interesting, however, it would be better if you provide exact code.
I didn't use timeit and I have some troubles with the module.
Regards, D.
David Cournapeau wrote:
> Hi,
>
> While profiling some code, I noticed that sum in numpy is kind of
> slow once you use axis argument:
>
> im
Hi,
While profiling some code, I noticed that sum in numpy is kind of
slow once you use axis argument:
import numpy as N
a = N.random.randn(1e5, 30)
%timeit N.sum(a) #-> 26.8ms
%timeit N.sum(a, 1) #-> 65.5ms
%timeit N.sum(a, 0) #-> 141ms
Now, if I use some tricks, I get:
%timeit N.sum(a
On 7/10/07, Ben ZX <[EMAIL PROTECTED]> wrote:
> I ran f2py. It seems to always generate NumPy modules.
>
> How do I tell f2py to generate Numeric modules?
If you do
$ f2py -h
you will see near the beginning the option '--2d-numeric'.
I never tested it (moved to numpy from its very beginings)
Sorry, I made a typo!
On Wednesday 11 July 2007 17:32, Eike Welk wrote:
> On Wednesday 11 July 2007 12:52, Michał Szpadzik wrote:
> > I would like to know how change this True/False to 1/0
>
> To convert an array of bool to an array double, you can use the
> function numpy.doube( ... ). The functi
Hello,
I'm having a lot of fun converting python code from numarray to numpy
and I just found out that the alter_code1.py conversion script changes
numarray's '.stddev()' to numpy's '.std()', even though the semantics
are different ("sample" std.dev. or not; divide by N-1 vs. by N).
Should I o
On Wednesday 11 July 2007 12:52, Michał Szpadzik wrote:
> I would like to know how change this True/False to 1/0
To convert an array of bool to an array double, you can use the
function numpy.doube( ... ). The function numpy.int32( ... ) converts
to integers.
Regards,
Eike.
___
On 7/11/07, Michał Szpadzik <[EMAIL PROTECTED]> wrote:
> I would like to know how change this True/False to 1/0
Multiplying by 1 changes the True/False to 1/0. But sum gives the same
result for True/False as it does for 1/0. So maybe you don't need to
convert from True/False to 1/0?
__
Some time ago I wrote small lib for signal processing. Now I'm trying to
convert it from numarray to numpy, and I've problem:
Code in numarray:
for i in range(len(myinput)-m+1):
cin=tempmatr[:]
ctmp=tempmatr[i]
xtmp=(numarray.abs(cin-ctmp))<=r
x2tmp=numarray.sum(n
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