On Tue, Mar 30, 2010 at 3:40 PM, Robert Kern wrote:
> On Tue, Mar 30, 2010 at 16:35, Ryan May wrote:
>> On Tue, Mar 30, 2010 at 3:16 PM, Friedrich Romstedt
>> wrote:
>
>>> x *= ((x <= 23) | (x >= 45)) .
>>
>> Interesting. In an ideal world, I'd love to see why exactly that is,
>> because I don'
2010/3/30 Ryan May :
> On Tue, Mar 30, 2010 at 3:16 PM, Friedrich Romstedt
> wrote:
>> We recently found out that it executes faster using:
>>
>> x *= ((x <= 23) | (x >= 45)) .
>
> Interesting. In an ideal world, I'd love to see why exactly that is,
> because I don't think multiplication should b
On Tue, Mar 30, 2010 at 16:35, Ryan May wrote:
> On Tue, Mar 30, 2010 at 3:16 PM, Friedrich Romstedt
> wrote:
>> x *= ((x <= 23) | (x >= 45)) .
>
> Interesting. In an ideal world, I'd love to see why exactly that is,
> because I don't think multiplication should be faster than a boolean
> op.
2010/3/30 Andrea Gavana :
> However, from the first 100 or so interpolated simulations, I could
> gather these findings:
>
> 1) Interpolations on *cumulative* productions on oil and gas are
> extremely good, with a maximum range of relative error of -3% / +2%:
> most of them (95% more or less) show
On Tue, Mar 30, 2010 at 3:16 PM, Friedrich Romstedt
wrote:
> 2010/3/30 Ryan May :
>> On Tue, Mar 30, 2010 at 11:12 AM, Alan G Isaac wrote:
>>> On 3/30/2010 12:56 PM, Sean Mulcahy wrote:
512x512 arrays. I would like to set elements of the array whose value
fall within a specified range
Le Mon, 29 Mar 2010 16:12:56 -0600,
Charles R Harris a écrit :
> On Mon, Mar 29, 2010 at 3:00 PM, Pascal wrote:
>
> > Hi,
> >
> > Does anyone have an idea how fft functions are implemented? Is it
> > pure python? based on BLAS/LAPACK? or is it using fftw?
> >
> > I successfully used numpy.fft i
2010/3/30 Ryan May :
> On Tue, Mar 30, 2010 at 11:12 AM, Alan G Isaac wrote:
>> On 3/30/2010 12:56 PM, Sean Mulcahy wrote:
>>> 512x512 arrays. I would like to set elements of the array whose value fall
>>> within a specified range to zero (eg 23< x< 45).
>>
>> x[(23
> Or a version that seems a
Hi Friedrich & All,
On 30 March 2010 21:48, Friedrich Romstedt wrote:
> 2010/3/30 Andrea Gavana :
>> On 29 March 2010 23:44, Friedrich Romstedt wrote:
>>> When you have nice results using 40 Rbfs for each time instant, this
>>> procedure means that the values for one time instant will not be
>>> i
2010/3/30 Andrea Gavana :
> On 29 March 2010 23:44, Friedrich Romstedt wrote:
>> When you have nice results using 40 Rbfs for each time instant, this
>> procedure means that the values for one time instant will not be
>> influenced by adjacent-year data. I.e., you would probably get the
>> same re
On 30-Mar-10, at 5:02 AM, Dag Sverre Seljebotn wrote:
> Well, you can pass -fdefault-real-8 and then write .pyf headers where
> real(8) is always given explicitly.
Okay, the answer (without setting the F77 environment variable) is
basically to expect real-8's in the .pyf file and compile the w
Andrea Gavana gmail.com> writes:
>
> Hi Kevin,
>
> On 29 March 2010 01:38, Kevin Dunn wrote:
> >> Message: 5
> >> Date: Sun, 28 Mar 2010 00:24:01 +
> >> From: Andrea Gavana gmail.com>
> >> Subject: [Numpy-discussion] Interpolation question
> >> To: Discussion of Numerical Python scipy.org
That was quick!
Thanks Angus and Zachary
On Tue, Mar 30, 2010 at 11:59 AM, Vishal Rana wrote:
> Hi,
>
> In an array I want to replace all NANs with some number say 100, I found a
> method* **nan_to_num *but it only replaces with zero.
> Any solution for this?
> *
> *Thanks
> Vishal
>
__
> In an array I want to replace all NANs with some number say 100, I
> found a method nan_to_num but it only replaces with zero.
> Any solution for this?
Indexing with a mask is one approach here:
a[numpy.isnan(a)] = 100
also cf. numpy.isfinite as well in case you want the same with infs.
Zac
On 30 March 2010 14:59, Vishal Rana wrote:
> Hi,
> In an array I want to replace all NANs with some number say 100, I found a
> method nan_to_num but it only replaces with zero.
> Any solution for this?
ar[np.isnan(ar)] = my_num
where ar is your array and my_num is the number you want to replace
Hi,
In an array I want to replace all NANs with some number say 100, I found a
method* **nan_to_num *but it only replaces with zero.
Any solution for this?
*
*Thanks
Vishal
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On 30-Mar-10, at 2:14 PM, David Warde-Farley wrote:
> Hey Dag,
>
> On 30-Mar-10, at 5:02 AM, Dag Sverre Seljebotn wrote:
>
>> Well, you can pass -fdefault-real-8 and then write .pyf headers where
>> real(8) is always given explicitly.
>
>
> Actually I've gotten it to work this way, with real(8) i
Hey Dag,
On 30-Mar-10, at 5:02 AM, Dag Sverre Seljebotn wrote:
> Well, you can pass -fdefault-real-8 and then write .pyf headers where
> real(8) is always given explicitly.
Actually I've gotten it to work this way, with real(8) in the wrappers.
BUT... for some reason it requires me to set the
On Tue, Mar 30, 2010 at 11:12 AM, Alan G Isaac wrote:
> On 3/30/2010 12:56 PM, Sean Mulcahy wrote:
>> 512x512 arrays. I would like to set elements of the array whose value fall
>> within a specified range to zero (eg 23< x< 45).
>
> x[(23http://mail.scipy.org/mailman/listinfo/numpy-discussion
On 3/30/2010 12:56 PM, Sean Mulcahy wrote:
> 512x512 arrays. I would like to set elements of the array whose value fall
> within a specified range to zero (eg 23< x< 45).
x[(23http://mail.scipy.org/mailman/listinfo/numpy-discussion
Hello all,
I'm relatively new to numpy. I'm working with text images as 512x512 arrays.
I would like to set elements of the array whose value fall within a specified
range to zero (eg 23 < x < 45). Any advice is much appreciated.
Sean
___
NumPy-Dis
On Tue, Mar 30, 2010 at 10:13 AM, Tom K. wrote:
>
> This one bit me again, and I am trying to understand it better so I can
> anticipate when it will happen.
>
> What I want to do is get rid of singleton dimensions, and index into the
> last dimension with an array.
>
> In [1]: import numpy as np
On Tue, Mar 30, 2010 at 09:46, Charles R Harris
wrote:
>
>
> On Tue, Mar 30, 2010 at 8:13 AM, Tom K. wrote:
>>
>> This one bit me again, and I am trying to understand it better so I can
>> anticipate when it will happen.
>>
>> What I want to do is get rid of singleton dimensions, and index into t
On Tue, Mar 30, 2010 at 8:13 AM, Tom K. wrote:
>
> This one bit me again, and I am trying to understand it better so I can
> anticipate when it will happen.
>
> What I want to do is get rid of singleton dimensions, and index into the
> last dimension with an array.
>
> In [1]: import numpy as np
On 3/30/2010 10:13 AM, Tom K. wrote:
> What I want to do is get rid of singleton dimensions, and index into the
> last dimension with an array.
>>> x=np.zeros((10,1,1,1,14,1024))
>>> np.squeeze(x).shape
(10, 14, 1024)
hth,
Alan Isaac
___
NumPy-Discussio
This one bit me again, and I am trying to understand it better so I can
anticipate when it will happen.
What I want to do is get rid of singleton dimensions, and index into the
last dimension with an array.
In [1]: import numpy as np
In [2]: x=np.zeros((10,1,1,1,14,1024))
In [3]: x[:,0,0,0,:
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Hello Amenity,
Spring is upon us and arrangements for SciPy 2010 are in full swing.
We're already nearing on some important deadlines for conference
participants: April 11th is the deadline for submitting an abstract
for a paper, an
ti, 2010-03-30 kello 07:18 -0600, Ryan May kirjoitti:
> Out of curiosity, is there something wrong with the support for 2to3
> that already exists within distutils? (Other than it just being
> distutils)
>
> http://bruynooghe.blogspot.com/2010/03/using-lib2to3-in-setuppy.html
That AFAIK converts
On Tue, Mar 30, 2010 at 1:09 AM, Pauli Virtanen wrote:
> 2010/3/30 David Cournapeau :
>> Currently, when building numpy with python 3, the 2to3 conversion
>> happens before calling any distutils command. Was there a reason for
>> doing it as it is done now ?
>
> This allowed 2to3 to also port the
Dag Sverre Seljebotn wrote:
> David Warde-Farley wrote:
>> Hi,
>>
>> In my setup.py, I have
>> from numpy.distutils.misc_util import Configuration
>>
>> fflags= '-fdefault-real-8 -ffixed-form'
>> config = Configuration(
>> 'foo',
>> parent_package=None,
>> top_path=None,
>> f2py
David Warde-Farley wrote:
> Hi,
>
> In my setup.py, I have
> from numpy.distutils.misc_util import Configuration
>
> fflags= '-fdefault-real-8 -ffixed-form'
> config = Configuration(
> 'foo',
> parent_package=None,
> top_path=None,
> f2py_options='--f77flags=\'%s\' --f90flags=\'
2010/3/30 David Cournapeau :
> Currently, when building numpy with python 3, the 2to3 conversion
> happens before calling any distutils command. Was there a reason for
> doing it as it is done now ?
This allowed 2to3 to also port the various setup*.py files and
numpy.distutils, and implementing it
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