Ubuntu has a much shorter cycle of updates than Fedora, indeed.
On 03/10/2010 06:27 AM, Charles R Harris wrote:
On Tue, Mar 9, 2010 at 5:52 PM, Johann Cohen-Tanugi
co...@lpta.in2p3.fr mailto:co...@lpta.in2p3.fr wrote:
more fun :
[co...@jarrett tests]$ pwd
On 03/10/2010 01:55 AM, Pauli Virtanen wrote:
more fun :
[co...@jarrett tests]$ pwd
/home/cohen/sources/python/numpy/numpy/core/tests
[co...@jarrett tests]$ python -c 'import test_ufunc'
python: Modules/gcmodule.c:277: visit_decref: Assertion `gc-gc.gc_refs
!= 0' failed.
Aborted (core
Dear all,
Is there a way to give an integer value to j when using a[i:j:-1] so that the
first element of the array can be included in the slice ?
I would like to use some code like a[i:i-k:-1] to get a slice of length k.
The numpy documentation seems to suggest that j=-1 should work:
Assume
Hi,
First, excuse me if I am over-optimizing, but I am curious if there exist a way
to apply a function to an ndarray over a given dimension. In case I don't make
myself clear, I have an array of shape( n,2,2) where each row represents a 2 by
2 covariance matrix, and I want to perform the
On 10/03/10 10:09, Bruce Schultz wrote:
On Sat, Mar 6, 2010 at 8:35 AM, Gökhan Sever gokhanse...@gmail.com wrote:
On Fri, Mar 5, 2010 at 8:00 AM, Bruce Schultz bruce.schu...@gmail.com
wrote:
Output is:
### ndarray
[[ 1. 2. ]
[ 3. 4.1]]
### structured array
[(1.0, 2.0)
Wed, 10 Mar 2010 10:28:07 +0100, Johann Cohen-Tanugi wrote:
On 03/10/2010 01:55 AM, Pauli Virtanen wrote:
more fun :
[co...@jarrett tests]$ pwd
/home/cohen/sources/python/numpy/numpy/core/tests [co...@jarrett
tests]$ python -c 'import test_ufunc' python: Modules/gcmodule.c:277:
http://projects.scipy.org/numpy/ticket/1425 for the bug trac
well, I do feel challenged now... ;)
J
On 03/10/2010 03:11 PM, Pauli Virtanen wrote:
Wed, 10 Mar 2010 10:28:07 +0100, Johann Cohen-Tanugi wrote:
On 03/10/2010 01:55 AM, Pauli Virtanen wrote:
more fun :
[co...@jarrett
Jerome Esteve wrote:
Dear all,
Is there a way to give an integer value to j when using a[i:j:-1] so
that the first element of the array can be included in the slice ?
I would like to use some code like a[i:i-k:-1] to get a slice of
length k.
The numpy documentation seems to suggest
Wed, 10 Mar 2010 15:40:04 +0100, Johann Cohen-Tanugi wrote:
Pauli, isn't it hopeless to follow the execution of the source code when
the crash actually occurs when I exit, and not when I execute. I would
have to understand enough of this umath_tests.c.src to spot a refcount
error or things
On 03/10/2010 08:40 AM, Johann Cohen-Tanugi wrote:
Pauli, isn't it hopeless to follow the execution of the source code when
the crash actually occurs when I exit, and not when I execute. I would
have to understand enough of this umath_tests.c.src to spot a refcount
error or things like
Warren Weckesser wrote:
Jerome Esteve wrote:
Dear all,
Is there a way to give an integer value to j when using a[i:j:-1] so
that the first element of the array can be included in the slice ?
I would like to use some code like a[i:i-k:-1] to get a slice of
length k.
The numpy
On Wed, Mar 10, 2010 at 10:19 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
Warren Weckesser wrote:
Jerome Esteve wrote:
Dear all,
Is there a way to give an integer value to j when using a[i:j:-1] so
that the first element of the array can be included in the slice ?
I would
On 03/10/2010 08:59 AM, Pauli Virtanen wrote:
Wed, 10 Mar 2010 15:40:04 +0100, Johann Cohen-Tanugi wrote:
Pauli, isn't it hopeless to follow the execution of the source code when
the crash actually occurs when I exit, and not when I execute. I would
have to understand enough of this
Jerome Esteve wrote:
Is there a way to give an integer value to j when using a[i:j:-1] so
that the first element of the array can be included in the slice ?
Is this what you are looking for?
In [11]: a = np.arange(10)
In [12]: a[6::-1]
Out[12]: array([6, 5, 4, 3, 2, 1, 0])
I know it's not
On Wed, Mar 10, 2010 at 10:39 AM, Bruce Southey bsout...@gmail.com wrote:
On 03/10/2010 08:59 AM, Pauli Virtanen wrote:
Wed, 10 Mar 2010 15:40:04 +0100, Johann Cohen-Tanugi wrote:
Pauli, isn't it hopeless to follow the execution of the source code when
the crash actually occurs when I
This is a bit confusing to me:
import numpy as np
u = np.ones ((3,3))
for u_row in u:
u_row = u_row * 2 doesn't work
print u
[[ 1. 1. 1.]
[ 1. 1. 1.]
[ 1. 1. 1.]]
for u_row in u:
u_row *= 2 does work
[[ 2. 2. 2.]
[ 2. 2. 2.]
[ 2. 2. 2.]]
Naively, I'm thinking a *=
On Wed, Mar 10, 2010 at 18:19, Neal Becker ndbeck...@gmail.com wrote:
This is a bit confusing to me:
import numpy as np
u = np.ones ((3,3))
for u_row in u:
u_row = u_row * 2 doesn't work
print u
[[ 1. 1. 1.]
[ 1. 1. 1.]
[ 1. 1. 1.]]
for u_row in u:
u_row *= 2 does
Neal Becker wrote:
This is a bit confusing to me:
import numpy as np
u = np.ones ((3,3))
for u_row in u:
u_row = u_row * 2 doesn't work
Try this instead:
for u_row in u:
u_row[:] = u_row * 2
Warren
print u
[[ 1. 1. 1.]
[ 1. 1. 1.]
[ 1. 1. 1.]]
for u_row in
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