On 03/11/2011 07:57 AM, Ondrej Certik wrote:
On Thu, Mar 10, 2011 at 8:25 PM, Robert Kernrobert.k...@gmail.com wrote:
On Thu, Mar 10, 2011 at 19:58, Ondrej Certikond...@certik.cz wrote:
Hi,
I spent about an hour googling and didn't figure this out. Here is my
setup.py:
setup(
name
On 03/11/2011 09:13 AM, Dag Sverre Seljebotn wrote:
On 03/11/2011 07:57 AM, Ondrej Certik wrote:
On Thu, Mar 10, 2011 at 8:25 PM, Robert Kernrobert.k...@gmail.com wrote:
On Thu, Mar 10, 2011 at 19:58, Ondrej Certikond...@certik.cz wrote:
Hi,
I spent about an hour googling and didn't
I'm just going through the very long 1.6 schedule thread to see what
is still on the TODO list before a 1.6.x branch can be made. So I'll
send a few separate mails, one for each topic.
On Mon, Mar 7, 2011 at 8:30 PM, Francesc Alted fal...@pytables.org wrote:
A Sunday 06 March 2011 06:47:34 Mark
On Tue, Mar 8, 2011 at 1:35 AM, Pauli Virtanen p...@iki.fi wrote:
Structured array copying copies by field name.
Commit 22d96096bf7d5fb199ca80f2fcd04e8d27815476
Before:
x = np.array([(0, 1)], dtype=[('a', int), ('b', int)])
y = np.array([(2, 3)], dtype=[('a', int), ('b', int)])
y =
On Tue, Mar 8, 2011 at 1:35 AM, Pauli Virtanen p...@iki.fi wrote:
Ufuncs don't necessarily return arrays in C-order, but instead
try to keep the memory layout of the original if it seems
advantageous vs. memory access.
Before:
np.sin(np.zeros((5,5,5)).transpose(1,2,0)).strides
(200, 40,
On Fri, Mar 11, 2011 at 2:01 AM, Ralf Gommers
ralf.gomm...@googlemail.comwrote:
I'm just going through the very long 1.6 schedule thread to see what
is still on the TODO list before a 1.6.x branch can be made. So I'll
send a few separate mails, one for each topic.
On Mon, Mar 7, 2011 at 8:30
On Fri, Mar 11, 2011 at 7:42 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Fri, Mar 11, 2011 at 2:01 AM, Ralf Gommers ralf.gomm...@googlemail.com
wrote:
I'm just going through the very long 1.6 schedule thread to see what
is still on the TODO list before a 1.6.x branch can be
On Fri, Mar 11, 2011 at 9:57 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Fri, Mar 11, 2011 at 7:42 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Fri, Mar 11, 2011 at 2:01 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
I'm just going through the very long 1.6
On Fri, Mar 11, 2011 at 8:06 AM, Wes McKinney wesmck...@gmail.com wrote:
On Fri, Mar 11, 2011 at 9:57 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Fri, Mar 11, 2011 at 7:42 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Fri, Mar 11, 2011 at 2:01 AM, Ralf
assert_almost_equal() and assert_array_almost_equal() raise a
ValueError instead of an AssertionError when the array contains
np.inf:
a = np.array([[1., 2.], [3., 4.]])
b = a.copy()
np.testing.assert_almost_equal(a, b)
b[0,0] = np.inf
np.testing.assert_almost_equal(a, b)
snip
ValueError:
On Mon, Mar 7, 2011 at 7:11 AM, David Cournapeau courn...@gmail.com wrote:
On Mon, Mar 7, 2011 at 5:53 PM, Gökhan Sever gokhanse...@gmail.com
wrote:
Hello,
I am going to the PyCon this week. I am presenting a poster about an
atmospheric sciences related project -- the most active
On Fri, Mar 11, 2011 at 9:19 AM, Travis Oliphant oliph...@enthought.comwrote:
This discussion is interesting and useful for NumPy 2.0, but the subtle
change is not acceptable for NumPy 1.6.
The rules were consistent, even if seen as unintuitive by some.
The fact that two libraries we know
A Thursday 10 March 2011 22:25:27 Christopher Barker escrigué:
On 3/10/11 12:01 PM, Francesc Alted wrote:
3) when the extra space is used up, it re-allocates the entire
array, with some more extra room
again, carray works exactly the same: the extra room is just a new
chunk
does it
On Fri, Mar 11, 2011 at 12:24 AM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
On 03/11/2011 09:13 AM, Dag Sverre Seljebotn wrote:
On 03/11/2011 07:57 AM, Ondrej Certik wrote:
On Thu, Mar 10, 2011 at 8:25 PM, Robert Kernrobert.k...@gmail.com wrote:
On Thu, Mar 10, 2011 at 19:58,
I have the followin loop in my code:
for i in range(0, nFrames):
data += dot(transpose(bipData[:,i,:]), bipData[:,i,:])
bipData is a 1024x258x256 double precision float array.
The loop takes all of 15 seconds to run on my computer and, with several
hundred files to process...
Is
I am trying to call a C function that takes a double array as one of
its parameters.
I am using ndpointer to define the argtypes so that I can pass a numpy
array directly. The issue I'm having is that this parameter need not
always be set, and when it is not set, the C functions expects a null
There's a few libraries out there that needs to know whether or not an
array changed since the last time it was used: joblib and pymc comes to
mind. I believe joblib computes a SHA1 or md5 hash of array contents,
while pymc simply assume you never change an array and uses the id().
The pymc
On Fri, Mar 11, 2011 at 11:41 AM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
There's a few libraries out there that needs to know whether or not an
array changed since the last time it was used: joblib and pymc comes to
mind. I believe joblib computes a SHA1 or md5 hash of array
I think you can use tensordot here. Maybe something like the following:
from numpy.random import random
import numpy as np
ni, nj, nk = 4, 5, 6
bipData = random((ni,nj,nk))
data1 = np.zeros((nk,nk))
# loop
for i in range(nj):
data1 += np.dot(np.transpose(bipData[:,i,:]), bipData[:,i,:])
we have had that discussion about ... two days ago. please look up
'How to sum weighted matrices' with at least two efficient solutions.
On Fri, Mar 11, 2011 at 02:00:09PM -0500, Josh Hykes wrote:
I think you can use tensordot here. Maybe something like the
following:
from
On Fri, 11 Mar 2011 11:47:58 -0700, Charles R Harris wrote:
[clip]
What about views? Wouldn't it be easier to write another object wrapping
an ndarray?
I think the buffer interfaces and all other various ways Numpy provides
exports for arrays make keeping tabs on modification impossible to do
On Fri, 11 Mar 2011 19:37:42 + (UTC), Pauli Virtanen p...@iki.fi
wrote:
On Fri, 11 Mar 2011 11:47:58 -0700, Charles R Harris wrote:
[clip]
What about views? Wouldn't it be easier to write another object
wrapping
an ndarray?
I think the buffer interfaces and all other various ways
On Fri, Mar 11, 2011 at 8:19 AM, Travis Oliphant oliph...@enthought.comwrote:
This discussion is interesting and useful for NumPy 2.0, but the subtle
change is not acceptable for NumPy 1.6.
The rules were consistent, even if seen as unintuitive by some.
The fact that two libraries we know
On Fri, Mar 11, 2011 at 1:07 AM, Ralf Gommers
ralf.gomm...@googlemail.comwrote:
On Tue, Mar 8, 2011 at 1:35 AM, Pauli Virtanen p...@iki.fi wrote:
Structured array copying copies by field name.
Commit 22d96096bf7d5fb199ca80f2fcd04e8d27815476
Before:
x = np.array([(0, 1)],
On Fri, Mar 11, 2011 at 1:13 AM, Ralf Gommers
ralf.gomm...@googlemail.comwrote:
On Tue, Mar 8, 2011 at 1:35 AM, Pauli Virtanen p...@iki.fi wrote:
Ufuncs don't necessarily return arrays in C-order, but instead
try to keep the memory layout of the original if it seems
advantageous vs.
On Fri, Mar 11, 2011 at 1:06 PM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
On Fri, 11 Mar 2011 19:37:42 + (UTC), Pauli Virtanen p...@iki.fi
wrote:
On Fri, 11 Mar 2011 11:47:58 -0700, Charles R Harris wrote:
[clip]
What about views? Wouldn't it be easier to write
On 11 March 2011 15:34, Charles R Harris charlesr.har...@gmail.com wrote:
On Fri, Mar 11, 2011 at 1:06 PM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
On Fri, 11 Mar 2011 19:37:42 + (UTC), Pauli Virtanen p...@iki.fi
wrote:
On Fri, 11 Mar 2011 11:47:58 -0700, Charles R
On 03/11/2011 10:04 PM, Anne Archibald wrote:
On 11 March 2011 15:34, Charles R Harrischarlesr.har...@gmail.com wrote:
On Fri, Mar 11, 2011 at 1:06 PM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
On Fri, 11 Mar 2011 19:37:42 + (UTC), Pauli Virtanenp...@iki.fi
wrote:
On
On Fri, Mar 11, 2011 at 4:33 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Fri, Mar 11, 2011 at 1:10 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Fri, Mar 11, 2011 at 8:19 AM, Travis Oliphant
oliph...@enthought.comwrote:
This discussion is interesting and useful for NumPy 2.0,
On Fri, Mar 11, 2011 at 2:20 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Fri, Mar 11, 2011 at 1:07 AM, Ralf Gommers ralf.gomm...@googlemail.com
wrote:
On Tue, Mar 8, 2011 at 1:35 AM, Pauli Virtanen p...@iki.fi wrote:
Structured array copying copies by field name.
Commit
On Fri, Mar 11, 2011 at 12:37 PM, Pauli Virtanen p...@iki.fi wrote:
On Fri, 11 Mar 2011 11:47:58 -0700, Charles R Harris wrote:
[clip]
What about views? Wouldn't it be easier to write another object wrapping
an ndarray?
I think the buffer interfaces and all other various ways Numpy
Hi Ralf,
I am happy to edit it, although I will have to do it later as I won't
have much free time recently.
I have registered as haoxiong on docs.scipy.org and would like
to request edit rights to the pinv page.
Thanks,
Hao
On 03/09/11 04:16, Ralf Gommers wrote:
Hi Hao,
On Wed, Mar 9,
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