Hi Travis,
Just now I saw that you have fixed the failing test.
You have used pinv (pseudo inverse).
Please can you add a docstring to numpy.linalg.pinv.
Thanks in advance.
Nils
In [4]: numpy.linalg.pinv?
Type: function
Base Class:
String Form:
Namespace: Interactive
Fil
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On Tuesday 27 June 2006 09:37, Nils Wagner wrote:
[NW]: Please can you add a docstring to numpy.linalg.pinv.
In case it might help, I added an example to the Numpy Example
List (http://www.scipy.org/Numpy_Example_List) which illustrates
the use of pinv().
J.
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This works in numpy 0.9.7.2416 but doesn't work in numpy 0.9.9.2683:
Numpy 0.9.9.2683
x = asmatrix(zeros((3,2), float))
y = asmatrix(rand(3,1))
y
matrix([[ 0.49865026],
[ 0.82675808],
[ 0.30285247]])
x[:,1] = y > 0.5
x
matrix([[ 0., 0.],
[ 0., 0.], <--- this should be o
On Tue, Jun 27, 2006 at 09:45:57AM -0700, Keith Goodman wrote:
> This works in numpy 0.9.7.2416 but doesn't work in numpy 0.9.9.2683:
>
> Numpy 0.9.9.2683
>
> x = asmatrix(zeros((3,2), float))
> y = asmatrix(rand(3,1))
> y
>
> matrix([[ 0.49865026],
>[ 0.82675808],
>[ 0.30285247]
Keith Goodman wrote:
> This works in numpy 0.9.7.2416 but doesn't work in numpy 0.9.9.2683:
>
> Numpy 0.9.9.2683
>
> x = asmatrix(zeros((3,2), float))
> y = asmatrix(rand(3,1))
> y
>
> matrix([[ 0.49865026],
>[ 0.82675808],
>[ 0.30285247]])
>
> x[:,1] = y > 0.5
> x
>
> matrix([[ 0.,
On 6/27/06, Travis Oliphant <[EMAIL PROTECTED]> wrote:
> Keith Goodman wrote:
> > This works in numpy 0.9.7.2416 but doesn't work in numpy 0.9.9.2683:
> >
> > Numpy 0.9.9.2683
> >
> > x = asmatrix(zeros((3,2), float))
> > y = asmatrix(rand(3,1))
> > y
> >
> > matrix([[ 0.49865026],
> >[ 0.
Stefan van der Walt wrote:
> On Tue, Jun 27, 2006 at 09:45:57AM -0700, Keith Goodman wrote:
>
> With r2691 I see
>
> In [7]: x = N.asmatrix(N.zeros((3,2)),float)
>
> In [8]: y = N.asmatrix(N.rand(3,1))
>
> In [12]: x[:,1] = y > 0.5
>
> In [13]: x
> Out[13]:
> matrix([[ 0., 1.],
>[ 0.,
Hi,I'm running python 2.4 on a 64bit linux and get strange results:(int(9))**2 is equal to 81, as it should, but(int64(9))**2 is equal to 0Is it a bug or a feature?Eugene
Using Tomcat but need to do more? Need to support web services, security?
Get stuff done quickly with pre-integrated technology
EI wrote:
> Hi,
>
> I'm running python 2.4 on a 64bit linux and get strange results:
> (int(9))**2 is equal to 81, as it should, but
> (int64(9))**2 is equal to 0
Thanks for the bug-report. Please provide the version of NumPy you are
using so we can track it down, or suggest an upgrade.
-Travis
I managed to get basic support for sum and prod into numpexpr. I need to
tie up some loose ends, for instance only floats are currently
supported, but these should be easy. To return to the recently posted
multidimensional distance program, this now works:
expr = numexpr("sum((a - b)**2, a
numpy.__version__ says 0.9.8. Python 2.4.2, GCC 4.1, OpenSuSE 10.1 (x86_64).Thanks Travis,EugeneOn 6/27/06, Travis Oliphant <
[EMAIL PROTECTED]> wrote:EI wrote:> Hi,>> I'm running python
2.4 on a 64bit linux and get strange results:> (int(9))**2 is equal to 81, as it should, but> (int64(9))**2 is
An SVN checkout from a week or two ago looks OK on my amd64 machine:
[EMAIL PROTECTED]:~$ python
Python 2.4.3 (#2, Apr 27 2006, 14:43:32)
[GCC 4.0.3 (Ubuntu 4.0.3-1ubuntu5)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> numpy.__version__
'0
Hi, all.
I've run some benchmarks comparing the performance of scipy, numpy,
Numeric and numarray vs. MATLAB. There's also the beginnings of a
benchmark framework included. The results are online at:
http://web.mit.edu/jonas/www/bench/
They were produced on a Thinkpad T42 with an Intel Pe
Dennis V. Perepelitsa wrote:
> Hi, all.
>
> I've run some benchmarks comparing the performance of scipy, numpy,
> Numeric and numarray vs. MATLAB. There's also the beginnings of a
> benchmark framework included. The results are online at:
>
> http://web.mit.edu/jonas/www/bench/
>
> They w
On 6/27/06, Dennis V. Perepelitsa <[EMAIL PROTECTED]> wrote:
> I've run some benchmarks comparing the performance of scipy, numpy,
> Numeric and numarray vs. MATLAB.
I enjoyed looking at the results.
The most interesting result, for me, was that inverting a matrix is
much faster in scipy than nu
Dennis V. Perepelitsa wrote:
> Hi, all.
>
> I've run some benchmarks comparing the performance of scipy, numpy,
> Numeric and numarray vs. MATLAB. There's also the beginnings of a
> benchmark framework included. The results are online at:
>
> http://web.mit.edu/jonas/www/bench/
>
> They were
Keith Goodman wrote:
> On 6/27/06, Dennis V. Perepelitsa <[EMAIL PROTECTED]> wrote:
>
>
>> I've run some benchmarks comparing the performance of scipy, numpy,
>> Numeric and numarray vs. MATLAB.
>>
>
> I enjoyed looking at the results.
>
> The most interesting result, for me, was that inver
On 6/27/06, Travis Oliphant <[EMAIL PROTECTED]> wrote:
> The numpy.dual library exists so you can use the SciPy calls if the
> person has SciPy installed or the NumPy ones otherwise. It exists
> precisely for the purpose of seamlessly taking advantage of
> algorithms/interfaces that exist in NumP
On 6/27/06, Keith Goodman <[EMAIL PROTECTED]> wrote:
> On 6/27/06, Travis Oliphant <[EMAIL PROTECTED]> wrote:
>
> > The numpy.dual library exists so you can use the SciPy calls if the
> > person has SciPy installed or the NumPy ones otherwise. It exists
> > precisely for the purpose of seamlessly
Keith Goodman wrote:
> Scipy computes the inverse of a matrix faster than numpy (except if
> the dimensions of x are small). But scipy is slower than numpy for
> eigh (I only checked for symmetric positive definite matrices):
Looks like scipy uses *SYEV and numpy uses the better *SYEVD (the D stan
Isn't the Cholesky decomposition by convention an upper triangular
matrix? I noticed, by porting Octave code, that linalg.cholesky
returns the lower triangular matrix.
References:
http://mathworld.wolfram.com/CholeskyDecomposition.html
http://www.mathworks.com/access/helpdesk/help/techdoc/ref/cho
Keith Goodman wrote:
> Isn't the Cholesky decomposition by convention an upper triangular
> matrix? I noticed, by porting Octave code, that linalg.cholesky
> returns the lower triangular matrix.
>
> References:
>
> http://mathworld.wolfram.com/CholeskyDecomposition.html
> http://www.mathworks.com
On 6/27/06, Robert Kern <[EMAIL PROTECTED]> wrote:
> Keith Goodman wrote:
> > Isn't the Cholesky decomposition by convention an upper triangular
> > matrix? I noticed, by porting Octave code, that linalg.cholesky
> > returns the lower triangular matrix.
> >
> > References:
> >
> > http://mathworld.
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