Hi,
Several tests didn't pass due to the recent changes
in defmatrix.py.
Nils
==
ERROR: check_matmat
(scipy.sparse.tests.test_sparse.test_csc)
--
Traceback
On Sun, Mar 25, 2007 at 04:09:11AM -0700, Jan Strube wrote:
There seems to be a fundamental lack of understanding on my behalf when it
comes to dtypes and record arrays.
Please consider the following snippet:
import numpy as N
newtype = N.dtype([('x', N.float64 ), ('y', N.float64), ('z',
Alan G Isaac wrote:
On Sat, 24 Mar 2007, Charles R Harris apparently wrote:
Yes, that is what I am thinking. Given that there are only the two
possibilities, row or column, choose the only one that is compatible with
the multiplying matrix. The result will not always be a column vector, for
Colin J. Williams wrote:
Alan G Isaac wrote:
On Sat, 24 Mar 2007, Charles R Harris apparently wrote:
Yes, that is what I am thinking. Given that there are only the two
possibilities, row or column, choose the only one that is compatible with
the multiplying matrix. The result will not
Bill Baxter wrote:
On 3/25/07, Robert Kern [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
I don't know. Given our previous history with convenience functions with
different calling semantics (anyone remember rand()?), I think it probably
will
confuse some people.
I'd really like to see it
With the possible inclusion of generic functions in py3k I dont really
see the point of adding more operators. (While i do miss mat1 x mat2
from PDL).
mat3 = mat1.mm(mat2) or the like seems to be sufficient.
I find matrix multiplication annoying in the case of SVD reconstruction:
final =
Em Seg, 2007-03-26 às 01:08 +1000, dpn escreveu:
With the possible inclusion of generic functions in py3k I dont really
see the point of adding more operators. (While i do miss mat1 x mat2
from PDL).
mat3 = mat1.mm(mat2) or the like seems to be sufficient.
I find matrix multiplication
Jan Strube wrote:
I'm having a difficult time understanding the following behavior:
import numpy as N
# create a new array 4 rows, 3 columns
x = N.random.random((4, 3))
# elementwise multiplication
x*x
newtype = N.dtype([('x', N.float64), ('y', N.float64), ('z', N.float64)])
# interpret
One thing keeps bugging me when I use numpy.matrix.
All this is fine::
x=N.mat('1 1;1 0')
x
matrix([[1, 1],
[1, 0]])
x[1,:]
matrix([[1, 0]])
But it seems to me that I should be able
to extract a matrix row as an array.
So this ::
x[1]
matrix([[1,
Hi,
Should the header files in
.../lib/python2.4/site-packages/python/numpy/core/include/
be copied to
.../include/python2.4/numpy/
upon installation of numpy? As far as I can tell this is not happening.
Just wondering what the default behavior should be.
Thanks
--
Daniel
Em Dom, 2007-03-25 às 13:07 -0400, Alan G Isaac escreveu:
So this ::
x[1]
matrix([[1, 0]])
feels wrong. (Similarly when iterating across rows.)
Of course I realize that I can just ::
x.A[1]
array([1, 0])
but since the above keeps feeling wrong I felt I should
Em Dom, 2007-03-25 às 13:07 -0400, Alan G Isaac escreveu:
x[1]
matrix([[1, 0]])
feels wrong. (Similarly when iterating across rows.)
On Sun, 25 Mar 2007, Paulo Jose da Silva e Silva apparently wrote:
I think the point here is that if you are using matrices,
then all you should
Hi,
It appears that the subversion server is down for numpy.
Chris
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On 3/25/07, Nils Wagner [EMAIL PROTECTED] wrote:
Hi,
Several tests didn't pass due to the recent changes
in defmatrix.py.
Nils
==
ERROR: check_matmat
(scipy.sparse.tests.test_sparse.test_csc)
On 3/25/07, Colin J. Williams [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
On 3/25/07, Robert Kern [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
I don't know. Given our previous history with convenience functions with
different calling semantics (anyone remember rand()?), I think it
On 3/26/07, Alan G Isaac [EMAIL PROTECTED] wrote:
Em Dom, 2007-03-25 às 13:07 -0400, Alan G Isaac escreveu:
x[1]
matrix([[1, 0]])
feels wrong. (Similarly when iterating across rows.)
On Sun, 25 Mar 2007, Paulo Jose da Silva e Silva apparently wrote:
I think the point here is
Alan G Isaac wrote:
One thing keeps bugging me when I use numpy.matrix.
All this is fine::
x=N.mat('1 1;1 0')
x
matrix([[1, 1],
[1, 0]])
x[1,:]
matrix([[1, 0]])
But it seems to me that I should be able
to extract a matrix row as an array.
This
Alan G Isaac wrote:
Em Dom, 2007-03-25 Ã s 13:07 -0400, Alan G Isaac escreveu:
x[1]
matrix([[1, 0]])
feels wrong. (Similarly when iterating across rows.)
On Sun, 25 Mar 2007, Paulo Jose da Silva e Silva apparently wrote:
I think the point here is that if you are using matrices,
Bill Baxter wrote:
On 3/26/07, Alan G Isaac [EMAIL PROTECTED] wrote:
Em Dom, 2007-03-25 às 13:07 -0400, Alan G Isaac escreveu:
x[1]
matrix([[1, 0]])
feels wrong. (Similarly when iterating across rows.)
On Sun, 25 Mar 2007, Paulo Jose da Silva e Silva apparently wrote:
I think the
On 3/26/07, Colin J. Williams [EMAIL PROTECTED] wrote:
Bill Baxter wrote:
This may sound silly, but I really think seeing all those brackets is
what makes it feel wrong. Matlab's output doesn't put it in your
face that your 4 is really a matrix([[4]]), even though that's what it
is to
On 3/25/07, Nils Wagner [EMAIL PROTECTED] wrote:
Hi,
snip
BTW, I can't import scipy.sparse, I get the following error:
ImportError: cannot import name densetocsr
What am I doing wrong?
Chuck
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On 3/25/07, Bill Baxter [EMAIL PROTECTED] wrote:
On 3/26/07, Steven H. Rogers [EMAIL PROTECTED] wrote:
Joe Harrington wrote:
On the other hand, Python, IDL, and Matlab are attractive to us mainly
because their syntaxes allow us to see the math, understand it on
inspection, and verify
Alan G Isaac wrote:
So this ::
x[1]
matrix([[1, 0]])
feels wrong. (Similarly when iterating across rows.)
Of course I realize that I can just ::
x.A[1]
array([1, 0])
On Sun, 25 Mar 2007, Colin J. Williams apparently wrote:
An array and a matrix are different
On 3/26/07, Alan G Isaac [EMAIL PROTECTED] wrote:
finds itself in basic conflict with the idea that I ought
to be able to iterate over the objects in an iterable
container.
I mean really, does this not feel wrong? ::
for item in x: print item.__repr__()
...
Thank you for letting me know. I restarted the server at 5:30pm central.
-Jeff
On Sunday 25 March 2007 1:42 pm, Christopher Hanley wrote:
Hi,
It appears that the subversion server is down for numpy.
Chris
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Numpy-discussion mailing list
Bill Baxter wrote:
Until we get to the point that it's actually harder to find a
non-Unicode console/editor than a Unicode one, I think the idea of
using Unicode symbols as part of the syntax of a general purpose
language is a bad one.
Given that most editors lack good Unicode support, it
On 3/26/07, Charles R Harris [EMAIL PROTECTED] wrote:
What might work better is simply some sort of sign that causes a function to
be parsed as infix, x @dot y for instance, although Python already uses @
for other things. I don't know what symbols are left unused at this point,
maybe ! , $,
On 3/26/07, Alan G Isaac [EMAIL PROTECTED] wrote:
On 3/26/07, Alan G Isaac [EMAIL PROTECTED] wrote:
finds itself in basic conflict with the idea that I ought
to be able to iterate over the objects in an iterable
container.
I mean really, does this not feel wrong? ::
for item in
On 3/26/07, Alan G Isaac [EMAIL PROTECTED] wrote:
finds itself in basic conflict with the idea that
I ought to be able to iterate over the objects in an
iterable container. I mean really, does this not feel
wrong? ::
for item in x: print item.__repr__()
...
matrix([[1,
Oooops, they should match of course. ::
X[1]
array([3,4])
X[1,:]
matrix([[3, 4]])
But again the point is:
indexing for submatrices should produce matrices.
Normal Python indexing should access the constituent arrays.
Cheers,
Alan Isaac
Hallo!
1)Isn't it possible to add .A .M attributes to the array matrix
instances? I would find them very useful for some cases more convenient
than asarray() or mat(). Let x.A just do nothing if x is array and x.M
do nothing if x i matrix.
2)And if y=flat(x), what about y.R and y.C for to
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