Try removing numpy and openCV (and associated files) from
/usr/local/lib/python2.7/dist-packages or wherever you originally
compiled it too. Then rebuild numpy and openCV. Probably openCV was
compiled with a different version of numpy at the time of compilation.
Just a guess but removing and re
I get the following runtime error when I import numpy: "module compiled
against ABI version 200 but this version of numpy is 109" (see
below).
Python 2.7.1 (r271:86832, May 20 2011, 14:41:42)
[GCC 4.4.0 20090514 (Red Hat 4.4.0-6)] on linux2
Type "help", "copyright", "credits" or "license"
Hi all,
I've read some discussions about adding labeled axes, and even ticks, to numpy
arrays (such as in Luis' dataarray).
I have recently found that the ability to label axes would be very helpful to
me, but I'd like to keep the implementation as lightweight as possible.
The reason I woul
Thank you very much Stéfan!!
2011/5/24 Stéfan van der Walt
> Hi Chris
>
> On Tue, May 24, 2011 at 9:29 AM, Goo Creations
> wrote:
> > At this point I'm stuck, since I'm not sure how to do the row based
> > transform on ownRes.
> > Is there anyone out there who knows how to do this?
>
> NumPy'
Hi Chris
On Tue, May 24, 2011 at 9:29 AM, Goo Creations wrote:
> At this point I'm stuck, since I'm not sure how to do the row based
> transform on ownRes.
> Is there anyone out there who knows how to do this?
NumPy's FFT supports an "axis" argument, so you can do
In [29]: own = np.array([[1+0j
Hi all,
I have made my free solver interalg (http://openopt.org/interalg) be
capable of solving nonlinear equations and systems of them. Unlike
scipy optimize fsolve it doesn't matter which functions are involved -
convex, nonconvex, multiextremum etc. Even some discontinuous funcs
Tue, 24 May 2011 11:41:28 +0200, Jan Wuyts wrote:
>bmidata=np.asarray([x for x in data if x['paramname']=='bmi'],
> dtype=data.dtype)
Use indexing:
bmidata = data[data['paramname'] == 'bmi']
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I've read in a datafile to an ndarray with this command:
data=np.genfromtxt('n.txt', delimiter='\t', dtype=[('paramname','S26'),
('study','S26'), ('class','S10'), ('count','f4'), ('average','f4'),
('sd','f4'))
I would like to filter the array to only rows where paramname == 'bmi'. What
would
Hi all
I know there exists a function for Fourier transforming 2D : fft2
But I'm trying to understand how this function works. As far as I know,
first a column based transform is done and then a row based transform.
This is what I've created for a test:
*test = np.array([[1+0j,2+0j], [3+0j, 4+0j
