el Abshoff wrote:
> Robert Kern wrote:
>> On Sat, Jan 24, 2009 at 18:31, Nat Wilson
>> wrote:
>>> It throws this out.
>>>
>>> Python 2.6.1 (r261:67515, Jan 24 2009, 16:08:37)
>>> [GCC 4.0.0 20041026 (Apple Computer, Inc. build 4061)] on darwin
To be honest, I really don't know. I followed the directions in /Mac/
README for a framework install.
How would I check this?
Thanks a lot for sticking with me,
Nat
On Jan 24, 2009, at 7:41 PM, Robert Kern wrote:
> On Sat, Jan 24, 2009 at 18:31, Nat Wilson
> wrote:
>> I
random(16)
'\xe0;n\x8a*\xb4\x08N\x80<\xef\x9b*\x06\x1b\xc4'
>>>
Nat
On Jan 24, 2009, at 7:12 PM, Robert Kern wrote:
> On Sat, Jan 24, 2009 at 17:58, Nat Wilson
> wrote:
>> Ah, no, I can't import it.
>>
>> What does this mean? As far as I know, I built
t exception set
Nat
On Jan 24, 2009, at 6:09 PM, Robert Kern wrote:
> On Sat, Jan 24, 2009 at 12:34, Nat Wilson
> wrote:
>> Would anyone be willing to help me interpret an error while trying to
>> build and install Numpy? I've searched around, and haven't seen thi
I had not, but that doesn't seem to make any difference. By the way,
I'm using gfortran 4.2.3 as I do this.
Nat
On Jan 24, 2009, at 4:38 PM, John Gleeson wrote:
On 2009-01-24, at 11:34 AM, Nat Wilson wrote:
Would anyone be willing to help me interpret an error while trying to
Would anyone be willing to help me interpret an error while trying to
build and install Numpy? I've searched around, and haven't seen this
elsewhere.
I've been running into this wall for about half the day now. I've
tried reinstalling Python, using numpy 1.2.0 and 1.2.1.
I have Python 2.6.1
hi all,
is it possible to use numpy functions (like eigh()..etc)from java
code? isthere a java wrapper for numpy?
thanks
wilson
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thanks for the links..
but why the different signs for entries in eigenvectors? is it a
library specific thing? shouldn't they be identical?
W
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I am trying out the eigenvectors related functions in numpy.linalg.I
came across some portions where i have doubts.
1).
i have an array X
if i calculate L=dot(X,X.transpose())
can L be called the covariance matrix of X?I read so in a paper by
Turk&Pentland(equation 3 i think)
can someone clarify t
hi all,
i have a numpy array of floats whose rows i need to set. i am setting
the each row using pixel values of each image in some folder.I wrote a
class MyImage that has a field pixelarray which stores the pixels of
that image as a numpy array.I made several MyImage instances and
stored them in a
hi
i wrote a function to find euclidian distance between two vectors and
applied it to the rows of a 2d array of floats as below
from math import sqrt
from numpy import array,sum
def distance(vec1, vec2):
return sqrt(sum([(x-y)**2 for x,y in zip(vec1, vec2)]))
def findmatch(wts,inputwt):
i have a 1 dimensional array of floats that i want to sort in
descending order.i did as follows
from numpy import tolist,array,sort
y=array([..]) #may be 1000 items
z=sort(y)
l=z.tolist()
l.reverse()
rl=array(l)
now rl is a 1 dim array sorted in descending order.
but i am looking for a better
hi
what exactly does diagonalising a matrix mean? how do you do it on a
symmetric numpy array?
W
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the Frobenius norm,
> Which is matlab speak for sqrt(trace(dot(X.T, X)))
thanks for that one Chuck..
1.
i have seen similar normailzations in most image processing code..what
exactly is the purpose of such normalization?before making images
these values will have to be reprocessed to get the pix
> > newul=ul/norm
>>the java doc mentions that by the above steps ul is normalised to unit
length (vector length)
> Umm, not quite, it is missing a square root. You can get the same result by
> using the Frobenius norm
thanks Chuck..
i found the norm as you advised and then found newul=ul/norm
hi
i came across some image processing code in java and tried to
duplicate the operation on an ndarray.the array is supposed to contain
pixel values of a gryscale image generated by the program. however the
code does some accumulation operation as below to obtain a value
'norm'
ul=array(([],[.
> #of shape (1,6)
> eval=array([[3.,3.2,1.,1.1,5.,0.5]])
>
eval.shape=(-1,)
please not the correction..i need to multiply first row of egimgs with
3.0 ,second row with 3.2,last(sixth) row with 0.5 ..For that
purpose i made the above into a 1 dimensional array.
A for loop seems inefficient in
hello
i have two arrays
#of shape (1,6)
eval=array([[3.,3.2,1.,1.1,5.,0.5]])
#of shape (6,8)
egimgs=array([
[3.,2.,1.,4.,5.,1.5,2.5,1.1],
[1.1,3.,.5,.2,.1,4.3,3.2,1.2],
[4.,3.,2.,6.,1.,4.,5.1,2.4],
[3.2,1.3,2.2,4.4,1.1,2.1,3.3,2.4
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