Hi there,
I have a .npy file built by succesively adding results from different test
runs of an algorithm. Each time it's run, I save a numpy.array using
numpy.save as follows:
fn = 'file.npy'
f = open(fn, 'a+b')
np.save(f, arr)
f.close()
When I try to read the file with the following code, for
Sorry, I forgot to include versions info:
Python 2.5.5
Numpy Version: 1:1.3.0-3+b1 (actual debian testing)
On Wed, Jun 23, 2010 at 12:46 PM, Ruben Salvador rsalvador...@gmail.comwrote:
Hi there,
I have a .npy file built by succesively adding results from different test
runs of an algorithm.
On 06/22/2010 02:58 PM, josef.p...@gmail.com wrote:
On Tue, Jun 22, 2010 at 10:09 AM, Tom Durrantthdurr...@gmail.com wrote:
the basic idea is in polyfit on multiple data points on
numpy-disscusion mailing list April 2009
In this case, calculations have to be done by groups
subtract
In the transpose function we have transpose(a,axis) where axis can be a
list of integers. But exactly what to the integers mean? If axis =
[i1,i2] switching axis i1 with axis i2 is obvious, but what if axis =
[i1,i2,i3]. Does this describe a cyclic permutation where
i1-i2-i3-i2 or what does
Alan Bromborsky wrote:
In the transpose function we have transpose(a,axis) where axis can be a
list of integers. But exactly what to the integers mean? If axis =
[i1,i2] switching axis i1 with axis i2 is obvious, but what if axis =
[i1,i2,i3]. Does this describe a cyclic permutation where
On 23 June 2010 16:13, Alan Bromborsky abro...@verizon.net wrote:
Alan Bromborsky wrote:
In the transpose function we have transpose(a,axis) where axis can be a
list of integers. But exactly what to the integers mean? If axis =
[i1,i2] switching axis i1 with axis i2 is obvious, but what if
Angus McMorland wrote:
On 23 June 2010 16:13, Alan Bromborsky abro...@verizon.net wrote:
Alan Bromborsky wrote:
In the transpose function we have transpose(a,axis) where axis can be a
list of integers. But exactly what to the integers mean? If axis =
[i1,i2] switching axis i1 with
Is it not possible to update your versions to see if that solves the
problem?
DG
On Wed, Jun 23, 2010 at 11:25 AM, Salim, Fadhley (CA-CIB)
fadhley.sa...@ca-cib.com wrote:
I've been investigating a truly bizarre bug related to the use of
numpy.linalg.eig.
I have two classes which both use
On Wed, Jun 23, 2010 at 13:25, Salim, Fadhley (CA-CIB)
fadhley.sa...@ca-cib.com wrote:
I've been investigating a truly bizarre bug related to the use of
numpy.linalg.eig.
I have two classes which both use numpy.linalg.eig. These classes are
used at very different times and are not connected
On Wed, Jun 23, 2010 at 2:17 PM, Robert Kern robert.k...@gmail.com wrote:
On Wed, Jun 23, 2010 at 13:25, Salim, Fadhley (CA-CIB)
fadhley.sa...@ca-cib.com wrote:
I've been investigating a truly bizarre bug related to the use of
numpy.linalg.eig.
I have two classes which both use
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