>> Hello all,
>>
>> numpy.unpackbits has a docstring that states that it returns a
>> boolean
>> array, but the function instead returns a uint8 array. Should I enter
>> this in trac as a documentation bug or a functionality bug?
>
> Would you mind fixing up the docs on the documentation editor?
2008/8/7 Nadav Horesh <[EMAIL PROTECTED]>:
> The 0 padding is easy in numpp/pylab as in octave/matlab, by just adding one
> argument. In pylab it is the "a" keyword:
>
> y = fft(x, n=2*len(x))
Just be careful about using the n parameter for `ifft`; in that case
it does not pad correctly.
Stéfan
Hey Zach
2008/8/7 Zachary Pincus <[EMAIL PROTECTED]>:
> Hello all,
>
> numpy.unpackbits has a docstring that states that it returns a boolean
> array, but the function instead returns a uint8 array. Should I enter
> this in trac as a documentation bug or a functionality bug?
Would you mind fixing
2008/8/8 oc-spam66 <[EMAIL PROTECTED]>:
> Hello,
>
> I would like to build a big ndarray by adding rows progressively.
>
> I considered the following functions : append, concatenate, vstack and the
> like.
> It appears to me that they all create a new array (which requires twice the
> memory).
>
>
2008/8/8 Matthias Hillenbrand <[EMAIL PROTECTED]>:
> My Gaussian beam and the lenses have a diameter of approximately 2^16
> array elements while the total array has a size of 2^18. The absolute
> value of the Gaussian beam multiplied by the lenses converges to zero.
> Out of this reason I assume
Fri, 08 Aug 2008 23:18:29 -0700, Christopher Barker wrote:
> oc-spam66 wrote:
[clip fromfile/fromstring bugs]
So that we won't forget this, a summary ticket is here:
http://scipy.org/scipy/numpy/ticket/883
Another fromfile/fromstring problem, this time related to locales:
http://scipy.org/scipy/n
On Sat, Aug 9, 2008 at 15:19, Michael <[EMAIL PROTECTED]> wrote:
> Hi list,
>
> I have found np.bincount() not to behave as expected when provided with
> data from np.random.beta.
As the docstring states, bincount() only works on sequences of
non-negative integers, not floats. beta() returns float
Hi list,
I have found np.bincount() not to behave as expected when provided with
data from np.random.beta.
It works fine with lists, but not the type returned by np.random.beta...
there seems to be a block on casting too. When it does give output on
np.array it just reports the number of items, l
2008/8/9 Robert Kern <[EMAIL PROTECTED]>:
> On Sat, Aug 9, 2008 at 05:52, Matthieu Brucher
> <[EMAIL PROTECTED]> wrote:
>> Hi,
>>
>> There seems to be missing parameters when I try to download numpy
>> 1.1.1 for Python 2.5 (David's superpack). And when I try to go to the
>> numpy project on SF, the
On Sat, Aug 9, 2008 at 05:52, Matthieu Brucher
<[EMAIL PROTECTED]> wrote:
> Hi,
>
> There seems to be missing parameters when I try to download numpy
> 1.1.1 for Python 2.5 (David's superpack). And when I try to go to the
> numpy project on SF, the project is invalid as well. Is there
> something I
I run your code, and the results seems to me realistic, similar to what I got
long back ago --- I do not see artefacts. You may try a more elaborate approach
(vector field propagation) using camfr (sf.net/projects/camfr).
Nadav.
N.B. I tried to attach the image I got b y running your script,
Hi,
There seems to be missing parameters when I try to download numpy
1.1.1 for Python 2.5 (David's superpack). And when I try to go to the
numpy project on SF, the project is invalid as well. Is there
something I'm missing ?
Matthieu
--
French PhD student
Website : http://matthieu-brucher.devel
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