06.12.2011 23:31, Oleg Mikulya kirjoitti:
How to make Numpy to match Matlab in term of performance ? I have tryied
with different options, using different MKL libraries and ICC versions,
still Numpy is below Matalb for certain basic tasks by ~2x. About 5
years ago I was able to get about same
Le 06/12/2011 23:13, Wes McKinney a écrit :
I think R has two functions read.csv and read.csv2, where read.csv2 is
capable of dealing with things like European decimal format.
I may be wrong, but from R's help I understand that read.csv, read.csv2,
read.delim, ...
are just calls to read.table
On Dec 07, 2011, at 11:24 , Pierre Haessig wrote:
Now for my personal use, I was not so frustrated by loading performance
but rather by NA support, so I wrote my own loadCsv function to get a
masked array. It was nor beautiful, neither very efficient, but it does
the job !
Ever tried to
Le 07/12/2011 12:42, Pierre GM a écrit :
Ever tried to use genfromtxt ?
You'll guess I didn't ... next time I'll do ;-)
Thanks for the tip !
Best,
Pierre
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I was trying to see if I could reproduce this problem, but your code fails
with numpy 1.6.1 with:
AttributeError: 'numpy.ndarray' object has no attribute 'H'
Is X supposed to be a regular ndarray with dtype = 'complex128', or
something else?
-=- Olivier
2011/12/5 kneil magnetotellur...@gmail.com
On Tue, Dec 6, 2011 at 22:11, Ralf Gommers ralf.gomm...@googlemail.com wrote:
To be a bit more detailed here, these are the most significant pull requests
/ patches that I think can be merged with a limited amount of work:
meshgrid enhancements: http://projects.scipy.org/numpy/ticket/966
Hi folks,
This is a continuation of a conversation already started, but i gave it
a new, more appropriate, thread and subject.
On 12/6/11 2:13 PM, Wes McKinney wrote:
we should start talking
about building a *high performance* flat file loading solution with
good column type inference and
On Tue, Dec 6, 2011 at 4:13 PM, Wes McKinney wesmck...@gmail.com wrote:
On Tue, Dec 6, 2011 at 4:11 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Mon, Dec 5, 2011 at 8:43 PM, Ralf Gommers ralf.gomm...@googlemail.com
wrote:
Hi all,
It's been a little over 6 months since the
I would like to launch python modules or functions (I don't know which is
easier to do, modules or functions) in separate Terminal windows so I can see
the output from each as they execute. I need to be able to pass each module or
function a set of parameters. I would like to do this from a
Agree with your statement. Yes, it is MKL, indeed. For linear equations it
is no difference, but there is difference for other functions. And yes, my
suspicions is just threading options. How to pass them to MKL from python?
Should I change some compiling options or environment options?
On Wed,
Maybe try stackoverflow, since this isn't really a numpy question.
To run a command like python myscript.py arg1 arg2 in a separate process,
you can do:
p = subprocess.Popen(python myscript.py arg1 arg2.split())
You can launch many of these, and if you want to know if a process p is
over, you
You should consider the powerful multiprocessing package. Have a look on this
piece of code:
import glob
import os
import multiprocessing as multi
import subprocess as sub
import time
NPROC = 4
Python = '/Library/Frameworks/EPD64.framework/Versions/Current/bin/python'
Xterm =
On Tue, Dec 6, 2011 at 5:31 PM, Oleg Mikulya olegmi...@gmail.com wrote:
Hi,
How to make Numpy to match Matlab in term of performance ? I have tryied
with different options, using different MKL libraries and ICC versions,
still Numpy is below Matalb for certain basic tasks by ~2x. About 5
From: Olivier Delalleau sh...@keba.be
To: Discussion of Numerical Python numpy-discussion@scipy.org
Sent: Wednesday, December 7, 2011 3:43 PM
Subject: Re: [Numpy-discussion] Simple way to launch python processes?
Maybe try stackoverflow, since this isn't really a numpy question.
To run a
From: Jean-Baptiste Marquette marqu...@iap.fr
To: Discussion of Numerical Python numpy-discussion@scipy.org
Sent: Wednesday, December 7, 2011 4:23 PM
Subject: Re: [Numpy-discussion] Simple way to launch python processes?
You should consider the powerful multiprocessing package. Have a look on
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 tsy...@gmail.com
On Tue, Dec 6, 2011 at 2:51 AM, Xavier Barthelemy xab...@gmail.comwrote:
ok let me be more precise
I have an Z array which is the elevation
from
If I want to know whether something that might be an array is really a
plain ndarray and not a subclass, is using `type` the safest bet?
All the other forms don't discriminate against subclasses.
type(np.ma.zeros(3)) is np.ndarray
False
type(np.zeros(3)) is np.ndarray
True
We have indeed been using type(a) is np.ndarray in Theano to check that.
If there's a better way, I'm interested to know as well :)
-=- Olivier
2011/12/7 josef.p...@gmail.com
If I want to know whether something that might be an array is really a
plain ndarray and not a subclass, is using
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