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
> 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
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
>>> isinstance
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 is the elevation
>> from this I extract a dis
From: Jean-Baptiste Marquette
To: Discussion of Numerical Python
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 this
piece of code:
importglob
importos
From: Olivier Delalleau
To: Discussion of Numerical Python
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 command like "python myscript.py arg1 arg2"
On Tue, Dec 6, 2011 at 5:31 PM, Oleg Mikulya 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 years
> ago I was a
On 07.12.2011, at 9:38PM, Oleg Mikulya wrote:
> 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
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 = '/usr/X11/bin/xterm
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, y
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, D
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 py
On Tue, Dec 6, 2011 at 4:13 PM, Wes McKinney wrote:
> On Tue, Dec 6, 2011 at 4:11 PM, Ralf Gommers
> wrote:
>>
>>
>> On Mon, Dec 5, 2011 at 8:43 PM, Ralf Gommers
>> wrote:
>>>
>>> Hi all,
>>>
>>> It's been a little over 6 months since the release of 1.6.0 and the NA
>>> debate has quieted down,
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 22:11, Ralf Gommers 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
> sample_from function: https:/
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
>
> Hi Nathaniel,
> Thank
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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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 trie
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.tabl
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 sa
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