We are glad to announce release 2.6 of the Modular toolkit for Data
Processing (MDP).
MDP is a Python library of widely used data processing algorithms
that can be combined according to a pipeline analogy to build more
complex data processing software. The base of available algorithms
includes,
On Wed, May 12, 2010 at 20:19, Dr. Phillip M. Feldman
pfeld...@verizon.net wrote:
When operating on an array whose last dimension is unity, the default
behavior of argsort is not very useful:
|6 x=random.random((4,1))
|7 shape(x)
7 (4, 1)
|8 argsort(x)
On May 13, 2010, at 11:51 PM, Vincent Davis wrote:
Because the use of `missing` is deprecated (try to use anything but '' for
missing, and you'll get a deprecation warning).
Use `missing_values` instead.
I wasn't using 'missing' but was wondering what it did.
@Pierre, Stéfan van der Walt
Hello,
I have the following code, where I noticed a memory leak with +=, but
not with + alone.
import numpy
m=numpy.matrix(numpy.ones((23,23)))
for i in range(1000):
m+=0.0 # keeps growing in memory
#m=m+0.0 # is stable in memory
My version of python is 2.5, numpy 1.3.0,
On Fri, May 14, 2010 at 2:43 PM, Brian Blais bbl...@bryant.edu wrote:
Hello,
I have the following code, where I noticed a memory leak with +=, but
not with + alone.
import numpy
m=numpy.matrix(numpy.ones((23,23)))
for i in range(1000):
m+=0.0 # keeps growing in memory
#
On Fri, May 14, 2010 at 3:26 PM, josef.p...@gmail.com wrote:
On Fri, May 14, 2010 at 2:43 PM, Brian Blais bbl...@bryant.edu wrote:
Hello,
I have the following code, where I noticed a memory leak with +=, but
not with + alone.
import numpy
m=numpy.matrix(numpy.ones((23,23)))
for i in
Robert Kern-2 wrote:
On Wed, May 12, 2010 at 20:19, Dr. Phillip M. Feldman
pfeld...@verizon.net wrote:
When operating on an array whose last dimension is unity, the default
behavior of argsort is not very useful:
|6 x=random.random((4,1))
|7 shape(x)
7 (4, 1)
|8
On 05/14/2010 11:03 AM, Dr. Phillip M. Feldman wrote:
Robert Kern-2 wrote:
On Wed, May 12, 2010 at 20:19, Dr. Phillip M. Feldman
pfeld...@verizon.net wrote:
When operating on an array whose last dimension is unity, the default
behavior of argsort is not very useful:
|6
The setup:
Adata
array([(1, 24, 'Male', '', 212, 193, 'High Pass'),
(2, 26, 'Male', 'Caucasian', 234, 221, 'Honors'),
(3, 31, 'Female', 'Caucasian', 182, 189, ''),
(4, 27, 'Female', 'Hispanic', 214, 211, 'High Pass'),
(5, 27, 'Female', 'Asian', 213, 204, 'Pass'),
On Fri, May 14, 2010 at 17:29, Eric Firing efir...@hawaii.edu wrote:
On 05/14/2010 11:03 AM, Dr. Phillip M. Feldman wrote:
Robert Kern-2 wrote:
On Wed, May 12, 2010 at 20:19, Dr. Phillip M. Feldman
pfeld...@verizon.net wrote:
When operating on an array whose last dimension is unity, the
Second, treating a
unit dimension differently from a non-unit dimension *is* making it a
special case, and often--usually--one does not want that. It is
perfectly reasonable to have an algorithm that uses values sorted along
the last axis, even if that dimension sometimes turns out to be
Chris Barker wrote:
I can't find it right now, but I'm pretty sure there is a function that
will re-shape an array to remove the length-1 dimensions -- maybe that's
what the OP needs.
it's np.squeeze()
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
On May 14, 2010, at 16:03 , josef.p...@gmail.com wrote:
On Fri, May 14, 2010 at 3:26 PM, josef.p...@gmail.com wrote:
On Fri, May 14, 2010 at 2:43 PM, Brian Blais bbl...@bryant.edu
wrote:
Hello,
I have the following code, where I noticed a memory leak with +=,
but
not with + alone.
Hello, I am really liking Numpy a lot. It is wonderful to be able to do
the things that it does in a language as friendly as Python, and with
the performance Numpy delivers over standard Python. Thanks.
I am having a problem with creation of Numpy arrays with my generated
dtypes. I am creating
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