It would be convenient if in arithmetic 0-d arrays were just ignored - it would
seem to me to be convenient in generic code where a degenerate array is treated
as "nothing"
np.zeros ((0,0)) + np.ones ((2,2))
---
ValueError
Neal Becker wrote:
> np.array ((0,0))
> Out[10]: array([0, 0]) <<< ok, it's 2 dimensional
>
> In [11]: np.array ((0,0)).shape
> Out[11]: (2,) <<< except, it isn't
Sorry for the stupid question - please ignore
___
NumPy-Discussion mailing list
NumPy-
Hi Neal,
On Fri, May 10, 2013 at 7:36 PM, Neal Becker wrote:
> np.array ((0,0))
> Out[10]: array([0, 0]) <<< ok, it's 2 dimensional
Think you may have confused yourself :-). It's 1 dimensional with 2 elements...
> In [11]: np.array ((0,0)).shape
> Out[11]: (2,) <<< except, it isn't
...as per
np.array ((0,0))
Out[10]: array([0, 0]) <<< ok, it's 2 dimensional
In [11]: np.array ((0,0)).shape
Out[11]: (2,) <<< except, it isn't
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
On Fri, May 10, 2013 at 9:41 PM, KACVINSKY Tom wrote:
> Here is my set up:
>
> Mac OS 10.7.5
> Xcode 4.5.1
> Intel Fortran 12.1
> Python 2.7.3 built from source
> Numpy 1.6.2 built from source, using MKL 11.0
> nose 0.11.4 installed
>
> I run the numpy tests as documented (python -c 'import numpy;
thanks, I'll look at it.
I made a PR: https://github.com/numpy/numpy/pull/3324
Where should I put the tests about this?
thanks
Fred
On Fri, May 10, 2013 at 4:03 PM, Sebastian Berg
wrote:
> On Fri, 2013-05-10 at 15:35 -0400, Frédéric Bastien wrote:
> > I'm trying to do it, but each time I wan
On Fri, 2013-05-10 at 15:35 -0400, Frédéric Bastien wrote:
> I'm trying to do it, but each time I want to test something, it takes
> a long time to rebuild numpy to test it. Is there a way to don't
> recompile everything for each test?
>
Are you using current master? It defaults to use
ENABLE_SEPA
Here is my set up:
Mac OS 10.7.5
Xcode 4.5.1
Intel Fortran 12.1
Python 2.7.3 built from source
Numpy 1.6.2 built from source, using MKL 11.0
nose 0.11.4 installed
I run the numpy tests as documented (python -c 'import numpy; numpy.test()'),
but get this output:
tkacvins@macomsim> python -c 'imp
I'm trying to do it, but each time I want to test something, it takes a
long time to rebuild numpy to test it. Is there a way to don't recompile
everything for each test?
thanks
Fred
On Fri, May 10, 2013 at 1:34 PM, Charles R Harris wrote:
>
>
> On Fri, May 10, 2013 at 10:08 AM, Frédéric Bast
On Fri, May 10, 2013 at 10:08 AM, Frédéric Bastien wrote:
> Hi,
>
> it popped again on the Theano mailing list that this don't work:
>
> np.arange(10) <= a_theano_vector.
>
> The reason is that __array_priority__ isn't respected for that class of
> operation.
>
> This page explain the problem and
Hi Andreas,
This packaging would be much useful!
How can I help with this?
pyhdf is very important because HDF4-EOS does not open with another
packages, only with pyhdf and gdal.
best,
Arnaldo
---
*Arnaldo D'Amaral Pereira Granja Russo*
Lab. de Estudos dos Oceanos e Clima
Instituto de Oceanograf
Hi,
it popped again on the Theano mailing list that this don't work:
np.arange(10) <= a_theano_vector.
The reason is that __array_priority__ isn't respected for that class of
operation.
This page explain the problem and give a work around:
http://stackoverflow.com/questions/14619449/how-can-i-
On May 10, 2013 3:18 PM, "Robert Kern" wrote:
> Sure, it's probably more readable
I am not sure of it. I would have to check the docs to see what it means.
The mathematical term is range, but it already has a meaning in Python, so
it is not a good way to go, being perhaps valuerange the compromi
On Fri, May 10, 2013 at 2:27 PM, Ralf Gommers wrote:
>
>
>
> On Fri, May 10, 2013 at 3:17 PM, Robert Kern wrote:
>>
>> On Fri, May 10, 2013 at 2:04 PM, Eli Bressert wrote:
>> > That's a good point regarding the range function names. But, I think
>> > the issue still stands on the readability of
On 10.05.2013, at 2:51PM, Daniele Nicolodi wrote:
> If you wish to format numpy arrays preceding them with a variable name,
> the following is a possible solution that gives the same formatting as
> in your example:
>
> import numpy as np
> import sys
>
> def format(out, v, name):
>header =
On Fri, May 10, 2013 at 3:17 PM, Robert Kern wrote:
> On Fri, May 10, 2013 at 2:04 PM, Eli Bressert wrote:
> > That's a good point regarding the range function names. But, I think
> > the issue still stands on the readability of the ptp function.
> > Regarding PEP20 it's stated that "readability
On Fri, May 10, 2013 at 2:04 PM, Eli Bressert wrote:
> That's a good point regarding the range function names. But, I think
> the issue still stands on the readability of the ptp function.
> Regarding PEP20 it's stated that "readability counts."
>
> If you regard what ptp is supposed to replace, a
10.05.2013 16:04, Eli Bressert kirjoitti:
> That's a good point regarding the range function names. But, I think
> the issue still stands on the readability of the ptp function.
> Regarding PEP20 it's stated that "readability counts."
I think here it has to be kept in mind that this function has b
That's a good point regarding the range function names. But, I think
the issue still stands on the readability of the ptp function.
Regarding PEP20 it's stated that "readability counts."
If you regard what ptp is supposed to replace, array.max() -
array.min(), the aforementioned follows the PEP20
On 10/05/2013 13:20, Sudheer Joseph wrote:
> Hi,
> I am trying to learn Python after feeling its utility in coding and
> also reading a bit aboutits potential only, please do not put words
> in to my mouth like below.
I didn't put words in your mouth, I simply quoted emails you sent to the
list a
Sudheer,
This is not really numpy specific. There are many options for output
formatting in python. For the specific question you have, you could do:
print '{0}{1:8.3f}{2:8.3f}{3:8.3f}{4:8.3f}{5:8.3f}'.format(s,x1,x2,x3,x4,x5)
format is a built-in python string method (see python docs). The on
10.05.2013 08:47, Eli Bressert kirjoitti:
[clip: renaming ptp]
> valuerange() appears to the best most favored one.
range(), arange(), valuerange()
I'm not really a big fan of changing the name of this function at this
stage, as it seems to me that whether it's a gain or not is somewhat a
matter
On 10.05.2013, at 1:20PM, Sudheer Joseph wrote:
> If some one has a quick way I would like to learn from them or get a
> referecence
> where the formatting part is described which was
> my intention while posting here. As I have been using fortran I just tried
> to use it to explain my requir
On Fri, 2013-05-10 at 17:14 +0800, Sudheer Joseph wrote:
> Thank you,
> But I was looking for a format statement likw
> write(*,"(A,5F8.3)")
> with best regards,
> Sudheer
How about the following:
print('IL = ' + (('%d,' * 5)[:-1] + '\n ') * 5 % tuple(IL))
If instead of a list
Hi,
I am trying to learn Python after feeling its utility in coding and also
reading a bit about
its potential only, please do not put words in to my mouth like below.
>> Before denigrating a programming language
If some one has a quick way I would like to learn from them or get a
refer
Hi everyone,
I am currently trying to write a sub-class of Numpy ndarray, but am
running into issues for functions that return scalar results rather
than array results. For example, in the following case:
import numpy as np
class TestClass(np.ndarray):
def __new__(cls, input_arr
On 10/05/2013 11:14, Sudheer Joseph wrote:
> However writing a formatted out put looks to be bit tricky with
> python relative to other programing languages.
...
> I was looking for a format statement likw write(*,"(A,5F8.3)")
Before denigrating a programming language I would make sure to have
Thank you,
But I was looking for a format statement likw
write(*,"(A,5F8.3)")
with best regards,
Sudheer
***
Sudheer Joseph
Indian National Centre for Ocean Information Services
Ministry of Earth Sciences, Govt. of Indi
Thank you for the response,
Infact the program which should read this file
requires it in specified format which should look like
IL = 1,2,3,4,5
1,2,3,4,5
1,2,3,4,5
JL = 1,2,3,4,5
1,2,3,4,5
1,2,3,4,5
so, what I followed from the mail was that np.savet
29 matches
Mail list logo
