Thanks!
Jose
On Thu, Aug 11, 2011 at 8:15 PM, Fernando Perez wrote:
> On Thu, Aug 11, 2011 at 4:43 PM, Jose Borreguero
> wrote:
> > a = random.randn(3,3)
> > b = a.reshape(1,3,3).repeat(50,axis=0)
> > scipy.linalg.block_diag( *b )
> >
>
> slightly simpler,
Dear numpy users,
I have a 3x3 matrix which I want to repeat 50 times along a diagonal, thus
creating a 150x150 block diagonal matrix.
I know of a method usin scipy.linalg.block_diag, but I don't know if this is
the best one:
a = random.randn(3,3)
b = a.reshape(1,3,3).repeat(50,axis=0)
scipy.lina
or, I found some comments on mixing fortran compilers.
I haven't advance much because go from error to error. Maybe I'm mixing
things up by adding directories to LD_LIBRARY_PATH :(
Jose
On Thu, Mar 17, 2011 at 1:35 PM, Ilan Schnell wrote:
> It looks like atlas wasn't linked ri
Dear Numpy/Scipy users,
I just installed numpy but I have an error when importing
>>> import numpy
from numpy.linalg import lapack_lite
ImportError: libatlas.so: cannot open shared object file: No such file or
directory
I have ATLAS libraries under /usr/local/atlas/lib
libatlas.a libcb
Thanks Josef, that worked!
I was confused because I was thinking of site.cfg as some sort of bash
script :)
Jose
On Thu, Mar 17, 2011 at 12:40 AM, wrote:
> On Thu, Mar 17, 2011 at 12:23 AM, Jose Borreguero
> wrote:
> > Dear Numpy/SciPy users,
> >
> > I have
Dear Numpy/SciPy users,
I have a build error with Numpy:
$ /usr/local/bin/python2.7 setup.py build
File "/usr/local/lib/python2.7/ConfigParser.py", line 504, in _read
raise MissingSectionHeaderError(fpname, lineno, line)
ConfigParser.MissingSectionHeaderError: File contains no section
in a molecular dynamics
simulation, A = . Same goes for B.
-Jose
On Fri, Sep 10, 2010 at 5:02 PM, Charles R Harris wrote:
>
>
> On Fri, Sep 10, 2010 at 2:39 PM, Jose Borreguero wrote:
>
>> Dear Numpy users,
>>
>> I have to solve for Z in the following equation Z
brute
force approach linalg.pinv( linalg.pinv(A) - lingal.pinv(B) ) gives me a
matrix with all entries equal to 'infinity'.
-Jose Borreguero
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Sweet!
I found that *M*b.reshape(1,1)* will also do the trick. Any guess which
method is faster?
On Tue, Mar 3, 2009 at 9:11 PM, wrote:
> On Tue, Mar 3, 2009 at 8:53 PM, Jose Borreguero
> wrote:
> > I guess there has to be an easy way for this. I have:
> > M.shape=(10
I guess there has to be an easy way for this. I have:
M.shape=(1,3)
N.shape=(1,)
I want to do this:
for i in range(1):
M[i]*=N[i]
without the explicit loop
-Jose
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haha, so it was a stupid error...my stupid error. [?]
I incorrectly understood ([0,0],[1,1]) as index 0 of *a* summed with index 0
of *b*, and analogously for [1,1].
Gthanks, Josef
On Tue, Feb 24, 2009 at 3:20 PM, wrote:
> On Tue, Feb 24, 2009 at 2:55 PM, Jose Borreguero
> wrote:
&
The following example:
from numpy import *
a=arange(12).reshape(2,3,2)
b=arange(24).reshape(2,3,2,2)
c=tensordot( a,b,axes=([0,0],[1,1]) )
defaults:
c=tensordot( a,b,axes=([0,0],[1,1]) )
File "/usr/lib/python2.4/site-packages/numpy/core/numeric.py", line 359, in
tensordot
raise ValueError, "shape
=Numeric.array(na,Numeric.Float)*
-Jose
On Fri, Oct 24, 2008 at 2:16 PM, Jose Borreguero <[EMAIL PROTECTED]>wrote:
> numpy 1.1.0 (from /usr/lib/python2.4/site-packages/numpy/version.py)
> Numeric 24.2 (from
> /usr/lib/python2.4/site-packages/Numeric/numeric_version.py)
>
> I also tried
have memory leaks if I use something like:
*mylist=[0.0]*BIGNUMBER*
*na=Numeric.array( mylist, Numeric.Float)*
-Jose
On Fri, Oct 24, 2008 at 1:54 PM, Travis E. Oliphant
<[EMAIL PROTECTED]>wrote:
> Jose Borreguero wrote:
> > Dear numpy users,
> >
> > I need to pass a
Dear numpy users,
I need to pass a Numeric array to some oldie code from a numpy array. I
decided to go like this:
for i in range(BIGNUMER):
my_numpy_array=grabArray(i)
na=Numeric.array( my_numpy_array, Numeric.Float)
oldie_code(na)
The constructor line:
na=Numeric.array( my_numpy_ar
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