>
>
> Message: 1
> Date: Wed, 8 Aug 2012 08:43:18 +0100
> From: David Cournapeau
> Subject: Re: [Numpy-discussion] building numpy 1.6.2 on OSX 10.6 /
> Python2.7.3
> To: Discussion of Numerical Python
> Message-ID:
> <
> cagy4rcw4b9krqxbibyejew8dzrjwbxcgv4ydzibpwcg2zvh...@mail.gma
>
> In [4]: timeit get_slices_slow(data)
> 100 loops, best of 3: 3.51 ms per loop
>
> In [5]: timeit get_slices_fast(data)
> 1000 loops, best of 3: 1.76 ms per loop
>
> In [6]: timeit get_slices_faster(data)
> 1 loops, best of 3: 116 us per loop
>
> So using the fast bincount and array indexin
Dear List,
I think there is a problem with assigning a 1D complex array of length one
to a position in another complex array.
Example:
a = ones(1,'D')
b = ones(1,'D')
a[0] = b
---
TypeError Tr
> Nice, I am starting to get out of touch with too many packages...
> Would be nice to add DCT and DST support to it.
FWIW, the DCT has been in scipy.fftpack for a while and DST was just added.
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On Wed, Aug 8, 2012 at 9:19 AM, Laszlo Nagy wrote:
> Is there a more efficient way to calculate the "slices" array below?
>
> I do not want to make copies of DATA, because it can be huge. The
> argsort is fast enough. I just need to create slices for different
> dimensions. The above code works, b
FWIW, on my OS X.6.8 system, using a brew-installed python, and installing
into /usr/local/lib, the symbols appear to be present:
❯ nm /usr/local/lib/python2.7/site-packages/numpy/core/multiarray.so | grep
ceil
U _ceil
U _ceilf
U _ceill
00
>
> `python setup.py install --user` should install bumpy in a ~/.local
> directory, you'll just have to update your PYTHONPATH
>
As of Python 2.6/3.x, ~/.local is searched after is added before the system
site directories but after Python's search paths and PYTHONPATH. See PEP
370 for more detail
Is there a more efficient way to calculate the "slices" array below?
import numpy
import numpy.random
# In reality, this is between 1 and 50.
DIMENSIONS = 20
# In my real app, I have 100...1M data rows.
ROWS = 1000
DATA = numpy.random.random_integers(0,100,(ROWS,DIMENSIONS))
# This is between 0
Hi,
I'm trying to write a code for doing a 2D integral. It works well when
I'm doing it with normal "for" loops, but requires two nested loops,
and is much too slow for my application. I would like to know if it is
possible to do it faster, for example with fancy indexing and the use
of numpy.cums
It seems that reshape doesn't work correctly on an array which has been
resized using the 0-stride trick e.g.
In [73]: x = array([5])
In [74]: y = as_strided(x, shape=(10,), strides=(0,))
In [75]: y
Out[75]: array([5, 5, 5, 5, 5, 5, 5, 5, 5, 5])
In [76]: y.reshape([10,1])
Out[76]:
array([[
On Wed, Aug 8, 2012 at 10:53 AM, Robert Kern wrote:
> On Wed, Aug 8, 2012 at 10:34 AM, David Cournapeau wrote:
>> On Wed, Aug 8, 2012 at 12:55 AM, Nathaniel Smith wrote:
>>> On Mon, Aug 6, 2012 at 8:31 PM, Robert Kern wrote:
Those are not the original Fortran sources. The original Fortran
On Wed, Aug 8, 2012 at 10:34 AM, David Cournapeau wrote:
> On Wed, Aug 8, 2012 at 12:55 AM, Nathaniel Smith wrote:
>> On Mon, Aug 6, 2012 at 8:31 PM, Robert Kern wrote:
>>> Those are not the original Fortran sources. The original Fortran sources are
>>> in the public domain as work done by a US
On Wed, Aug 8, 2012 at 12:55 AM, Nathaniel Smith wrote:
> On Mon, Aug 6, 2012 at 8:31 PM, Robert Kern wrote:
>> Those are not the original Fortran sources. The original Fortran sources are
>> in the public domain as work done by a US federal employee.
>>
>> http://www.netlib.org/fftpack/
>>
>> Ne
On Wed, Aug 08, 2012 at 12:55:32AM +0100, Nathaniel Smith wrote:
> On Mon, Aug 6, 2012 at 8:31 PM, Robert Kern wrote:
> > Those are not the original Fortran sources. The original Fortran sources are
> > in the public domain as work done by a US federal employee.
> >
> > http://www.netlib.org/fftpa
On Wed, Aug 8, 2012 at 6:15 AM, Andrew Nelson wrote:
> Dear Pierre,
> as indicated yesterday OSX system python is in:
>
> /System/Library/Frameworks/Python.framework/
>
> I am installing into:
>
> /Library/Frameworks/Python.framework/Versions/Current/lib/python2.7/site-packages
>
> This should not
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