On 26-Feb-10, at 8:12 AM, Ernest Adrogué wrote:
> Thanks for the tip. I didn't know that...
> Also, frompyfunc appears to crash python when the last argument is 0:
>
> In [9]: func=np.frompyfunc(lambda x: x, 1, 0)
>
> In [10]: func(np.arange(5))
> Violació de segment
>
> This with Python 2.5.5, Nu
Greetings,
I have been trying to build the numpy superpack on windows using the
binaries posted by David. Unfortunately, I haven't even been able to
correctly write the site.cfg file to locate all three sets of binaries
needed for the superpack. When I manually specify to use only the sse3
bina
What is the efficient numpy way to compare data from two different files? For
the nth line in each file I want to operate on the numbers. I've been using
loadtxt()
data_5x5 = N.loadtxt("file5")
data_8x8 = N.loadtxt("file8")
for line in data_5x5:
pos5 = N.array([line[0], line[1], li
Sebastian, and, please, be not offended by what I wrote. I regret a
bit my jokes ... It's simply too late at night.
Friedrich
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2010/2/27 Sebastian Walter :
> On Sat, Feb 27, 2010 at 11:11 PM, Friedrich Romstedt
> wrote:
>> Ok, it took me about one hour, but here they are: Fourier-accelerated
>> polynomials.
>
> that's the spirit! ;)
Yes! I like it! :-)
>>> python
>> Python 2.4.1 (#65, Mar 30 2005, 09:13:57) [MSC v.1310
2010/2/27 Sebastian Walter :
> I'm sorry this comment turns out to be confusing.
Maybe it's not important.
> It has apparently quite the contrary effect of what I wanted to achieve:
> Since there is already a polynomial module in numpy I wanted to
> highlight their difference
> and stress that t
On Sat, Feb 27, 2010 at 11:11 PM, Friedrich Romstedt
wrote:
> Ok, it took me about one hour, but here they are: Fourier-accelerated
> polynomials.
that's the spirit! ;)
>
>> python
> Python 2.4.1 (#65, Mar 30 2005, 09:13:57) [MSC v.1310 32 bit (Intel)] on win32
> Type "help", "copyright", "credi
On Sat, Feb 27, 2010 at 10:02 PM, Friedrich Romstedt
wrote:
> To the core developers (of numpy.polynomial e.g.): Skip the mess and
> read the last paragraph.
>
> The other things I will post back to the list, where they belong to.
> I just didn't want to have off-topic discussion there.
>
>> I wan
Ok, it took me about one hour, but here they are: Fourier-accelerated
polynomials.
> python
Python 2.4.1 (#65, Mar 30 2005, 09:13:57) [MSC v.1310 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import gdft_polynomial
>>> p1 = gdft_polynomial.Poly
2010/2/27 Sebastian Walter :
> IMO this kind of discussion is not offtopic since it is directly
> related to the original question.
Ok, but I say it's not my responsibility now if the numpy-discussion
namespace is polluted now.
>> 2010/2/27 Sebastian Walter :
>>> On Sat, Feb 27, 2010 at 3:59 PM,
To the core developers (of numpy.polynomial e.g.): Skip the mess and
read the last paragraph.
The other things I will post back to the list, where they belong to.
I just didn't want to have off-topic discussion there.
> I wanted to stress that one can do arithmetic on Taylor polynomials in
> a ve
Announcement:
---
I have started to implement vectorized univariate truncated Taylor
polynomial operations (add,sub,mul,div,sin,exp,...) in ANSI-C.
The interface to python is implemented by using numpy.ndarray's ctypes
functionality. Unit tests are implement using nose.
It is B
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