Hi Andrea
You should add a dimension argument in your Fortran code, also you should
write a f2py header in the same Fortran code.
Remember, numpy memory is C order wise.
You can specify in numpy the ordering of the matrices you pass when you
create them.
F2py automatically deals with matrices , but
One major advantage you can have using mkl is installing "numexpr"
compiling it with MLK.
That's a strong suggestion to easily use mkl and go faster on common
operations.
Xavier
On 20/04/2013 1:16 AM, "Matthieu Brucher"
wrote:
> The graph is a comparison of the dot calls, of course they are bett
Actually this can be a good idea. i didn't thought using he sorting.
i'll try
thanks for yours ideas
Xavier
2011/12/7 Tony Yu
>
>
> On Tue, Dec 6, 2011 at 2:51 AM, Xavier Barthelemy wrote:
>
>> ok let me be more precise
>>
>> I have an Z array which i
Yes I understood what you said. I know these tools, and I am using them.
I was just wandering if someone has a more one-liner-pythonic way to do it.
I don't think it's worth importing a new fortran module.
Thanks anyway :)
Xavier
2011/12/6 David Froger
> Excerpts from Xavier Barthelemy's message
ok let me be more precise
I have an Z array which is the elevation
from this I extract a discrete array of Zero Crossing, and another discrete
array of Crests.
len(crest) is different than len(Xzeros). I have a threshold method to
detect my "valid" crests, and sometimes there are 2 crests between
Hi everyone
I was wondering if there is a more optimal way to write what follows:
I am studying waves, so I have an array of wave crests positions, Xcrest
and the positions of the ZeroCrossings, Xzeros.
The goal is to find between which Xzeros my xcrest are.
XXX1=XCrest
CrestZerosNeighbour=np.z
print "Initiating the running total of my
> variable..."
> running_sum=N.array(TSFC[i])
>
> TSFC_avg=N.true_divide(running_sum, slice_counter)
> N.set_printoptions(threshold='nan')
> print "the TSFC_avg is:
Hi,
I don't know if it is the best choice, but this is what I do in my code:
for each slice:
indexnonNaN=np.isfinite(SliceOf Toto)
SliceOf TotoWithoutNan= SliceOf Toto [indexnonNaN]
and then perform all operation I want o on the last array.
i hope it does answer your question
Xavier
2011/
re, in case it might help.
> I always had trouble getting programs (other than numpy though) to link
> and execute properly with MKL.
> You might also try to play with LD_PRELOAD.
> Good luck,
>
> -=- Olivier
>
> 2011/11/23 Xavier Barthelemy
>
>> Dear
Dear everyone
I have been a bit better
patching the files I finally get something
in .basrc
source /opt/intel/composer_xe_2011_sp1.7.256/bin/compilervars.sh intel64
source /opt/intel/composer_xe_2011_sp1.7.256/mkl/bin/mklvars.sh intel64 lp64
export OMP_NUM_THREADS=4
export KMP_AFFINITY=verbose,
dear everyone,
I am hard trying to compile numpy / and scipy with mkl.
unfortunately it does not work. i have tried a lot of solution, and the
closest for me to work is:
*I have *
Linux manning 2.6.32-27-server #49-Ubuntu SMP Thu Dec 2 02:05:21 UTC 2010
x86_64 GNU/Linux
python -c 'import os,
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