That is some weird mojo; I'm guessing that numpy simply doesn't
recognize the 'LA' type (luminance+alpha) as it's pretty uncommon. In
the meantime you probably want to convert to RGBA, since that file
giving you problems is grayscale+alpha channel, and a conversion to
RGB might lose the alp
Mathematica vs Matlab vs Python
http://www.larssono.com/musings/matmatpy/index.html
--
---
| Alan K. Jackson| To see a World in a Grain of Sand |
| a...@ajackson.org | And a Heaven in a Wild Flower,
Robert Kern-2 wrote:
>
> Mostly just history. Many, though certainly not all, single-argument
> functions from Numeric became ndarray methods. I believe that median
> was added after that event, and there is some resistance to adding yet
> another method to ndarray. The implementor of numpy.ma
2009/7/7 Stéfan van der Walt :
> Hi Kenny
>
> 2009/7/7 Kenny Abernathy :
>> I can guarantee that all analysis will be finished before the Unit object is
>> destroyed and delete[] is called, so I don't think that's a problem.
>
> There is a neat trick to make sure things don't get deallocated out of
I figured I'd contribute something similar: the "even" distribution of
points on a sphere.
I can't take credit for the algorithm though, I got it from the following
page and just vectorized it, and tweaked it so it uses the golden ration
properly:
http://www.xsi-blog.com/archives/115
It makes us
2009/7/4 Stéfan van der Walt :
> Thanks, Scott. This should now be fixed in SVN.
You should probably change that to asanyarray() before the masked
array crowd gets upset. :-)
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by ou
On Tue, Jul 7, 2009 at 01:34, Scott Sinclair wrote:
>> 2009/7/7 keflavich :
>>
>> Hi, I want to be able to do something like:
>>
>> import numpy
>> x=numpy.array([1,4,4,6,7,3,4,2])
>> x.median()
>>
>> rather than
>> numpy.median(x)
>>
>> so that in a function, I can call
>> x.median()
>> and allow
On Mon, Jul 6, 2009 at 18:00, keflavich wrote:
>
> Hi, I want to be able to do something like:
>
> import numpy
> x=numpy.array([1,4,4,6,7,3,4,2])
> x.median()
>
> rather than
> numpy.median(x)
>
> so that in a function, I can call
> x.median()
> and allow x to be a masked array or a numpy array.
>
On Tue, Jul 7, 2009 at 17:50, Trevor Clarke wrote:
> I'm embedding python and numpy in a C++ program and I want to share some
> data owned by C++. I'm able to get the allocation/deallocation and memory
> sharing working for a contiguous array. However, I have non-contiguous data
> (random sub-array
Dear all,
For some reason I have a problem converting a specific png image using
array().
Here is what I am getting (using numpy 1.3.0 and scipy 0.7.0).
% wget http://files.getdropbox.com/u/167753/spiky_adj_023.png
% python -c "import numpy as np; import Image; print
np.array(Image.open('spiky_a
I'm embedding python and numpy in a C++ program and I want to share some
data owned by C++. I'm able to get the allocation/deallocation and memory
sharing working for a contiguous array. However, I have non-contiguous data
(random sub-array locations, not a fixed skip factor) and I may not have all
On Tue, Jul 7, 2009 at 3:43 PM, wrote:
>
> Hi, Charles. Which David? We have at least three lurking on this list.
> ;-) I mean, I know I can't answer this, but...
>
That would be David C. I figured the subject line would give it away ;)
Chuck
___
N
Hi Kenny
2009/7/7 Kenny Abernathy :
> I can guarantee that all analysis will be finished before the Unit object is
> destroyed and delete[] is called, so I don't think that's a problem.
There is a neat trick to make sure things don't get deallocated out of order:
http://blog.enthought.com/?p=62
Hi, Charles. Which David? We have at least three lurking on this list. ;-) I
mean, I know I can't answer this, but...
DG
--- On Tue, 7/7/09, Charles R Harris wrote:
> From: Charles R Harris
> Subject: [Numpy-discussion] Question for David re npy_funcs
> To: "numpy-discussion"
> Date: Tue
David,
Should any standard c functions used in loops.c.src be the npy_* version?
I've been using fabs, but I'm wondering if that should be npy_fabs.
Chuck
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There is no one that doesn't (have a lot to learn, that is) - we're all here to
help each other do that. ;-)
DG
--- On Tue, 7/7/09, Phillip M. Feldman wrote:
> From: Phillip M. Feldman
> Subject: Re: [Numpy-discussion] transpose of a matrix should be another matrix
> To: "Discussion of Numer
I've built an analysis framework for studying electrophysiogical data, and
I'd like to add NumPy (and SciPy, although that's not germane to my current
question) as an engine so users can more easily add their own functions to
the program. I'm at the point now of trying to share the data between th
Chris and David-
I've verified that both of your solutions work. I have a lot to learn!
Thanks!
Phillip
David Goldsmith wrote:
Also, there is a "non-method" way: the .T property:
a = np. matrix([[1,2,3],[4,5,6],[7,8,9]])
a
matrix([[1, 2, 3],
[4, 5, 6],
[7, 8,
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