Emanuele Olivetti wrote:
Hi,
I'm trying to compute the distance matrix (weighted p-norm [*])
between two sets of vectors (data1 and data2). Example:
import numpy as N
p = 3.0
data1 = N.random.randn(100,20)
data2 = N.random.randn(80,20)
weight = N.random.rand(20)
distance_matrix =
Damian Eads wrote:
Emanuele Olivetti wrote:
...
[*] : ||x - x'||_w = (\sum_{i=1...N} (w_i*|x_i - x'_i|)**p)**(1/p)
This feature could be implemented easily. However, I must admit I'm not
very familiar with weighted p-norms. What is the reason for raising w
to the p instead of
To All,
Has anyone worked with the F2PY generator? This is something that is
supposedly built within numpy and scipy. I was wondering if anyone has
had any issues with this environment?? It is important for my current
employment!!
Thanks,
David Blubaugh
This e-mail transmission
Matthieu Brucher wrote:
People are concerned by memory consumption, so if you use more memory
than what you think, you can encounter bugs. Least surprise is always
better ;)
sure, but I'm a bit confused -- there is a tiny amount of memory
involved in the accumulator -- isn't it a single
Just for my own benefit, I am curious about this.
I am running into problems because I need to archive the result (tuple)
returned by a numpy.where statement. Pickle does not seem to like to deal
with numpy scalars, and numpy's archiving functions (memmap) can't work on
the tuple that gets
On Mon, Sep 8, 2008 at 15:14, Mark Miller [EMAIL PROTECTED] wrote:
Just for my own benefit, I am curious about this.
I am running into problems because I need to archive the result (tuple)
returned by a numpy.where statement. Pickle does not seem to like to deal
with numpy scalars, and
Yeah, I memory wise it doesn't matter to sum to a double, but just
trying around it seems that the mixing of float and double is very slow
(at least on my comp) while if the starting array is already double
there is almost no difference for summing. Generally double precision
calculations should
Jarrod Millman wrote:
Here is the universal Mac binary:
https://cirl.berkeley.edu/numpy/numpy-1.2.0rc1-py2.5-macosx10.5.dmg
Please test this release ASAP
OS-X 10.4.11 dual G5 PPC
looks OK to me, except:
ERROR: Failure: ImportError (No module named scipy)
On Mon, Sep 8, 2008 at 17:33, Christopher Barker [EMAIL PROTECTED] wrote:
Jarrod Millman wrote:
Here is the universal Mac binary:
https://cirl.berkeley.edu/numpy/numpy-1.2.0rc1-py2.5-macosx10.5.dmg
Please test this release ASAP
OS-X 10.4.11 dual G5 PPC
looks OK to me, except:
ERROR:
Robert Kern wrote:
Hmm. That file shouldn't be there. It's not in the 1.2.0rc1 tag in SVN.
OK. I cleaned out everything numpy from site-packages, re-installed, and
presto:
Ran 1721 tests in 12.736s
OK (SKIP=1)
nose.result.TextTestResult run=1721 errors=0 failures=0
It must have been left
I have been trying to get Launchpad to do continuous imports of the
SciPy subversion repository into Bazaar:
https://code.launchpad.net/~vcs-imports/scipy/trunk
This works fine for NumPy:
https://code.launchpad.net/~vcs-imports/numpy/trunk
However, this doesn't work for SciPy due to a mixed-EOL
Pauli,
Yes, I am utilizing the windows environment. I cannot install f2py.
I obtain the following error when I try to execute the setup.py file
within the f2py folder located within the numpy master folder:
Warning: Assuming default configuration
(lib\parser/{setup_parser,setup}.py was
On Mon, Sep 8, 2008 at 18:26, Blubaugh, David A. [EMAIL PROTECTED] wrote:
Pauli,
Yes, I am utilizing the windows environment. I cannot install f2py.
I obtain the following error when I try to execute the setup.py file
within the f2py folder located within the numpy master folder:
Don't
Jarrod Millman wrote:
However, this doesn't work for SciPy due to a mixed-EOL issue:
https://bugs.launchpad.net/launchpad-cscvs/+bug/256050
Colin Watson has recently volunteered to look into fixing this issue
and was asking if anyone had a preference about how this should be
solved.
I vote
If numpy is installed, then f2py will be too. On the windows environment,
there is a file called f2py.py that you can call from the command line. It
should be in the 'scripts' directory of your Python installation.
Try something like this:
python c:\python25\scripts\f2py.py
(of course change
On Mon, Sep 8, 2008 at 18:46, jinbo wang [EMAIL PROTECTED] wrote:
Hi guys,
I am new to python, and still wondering around to solve a simple problem.
I have an array A, and want to save it to a binary data file with
'float64' and 'big-endian' specified. I searched online, but still don't
Now that 1.2.0 is almost finalized, I wanted to ask everyone to start
thinking about what they plan to work on for the next minor release:
http://scipy.org/scipy/numpy/milestone/1.3.0
We have been gradually moving toward a more time-based release
schedule over the last several months. In this
On Mon, 2008-09-08 at 22:05 -0600, Charles R Harris wrote:
On Mon, Sep 8, 2008 at 9:03 PM, xiaojf [EMAIL PROTECTED] wrote:
Hi all,
I'm trying to replace matlab with python in my daily work and
I have
several problems now.
1)
On Mon, 2008-09-08 at 17:12 -0700, Jarrod Millman wrote:
Now that 1.2.0 is almost finalized, I wanted to ask everyone to start
thinking about what they plan to work on for the next minor release:
http://scipy.org/scipy/numpy/milestone/1.3.0
We have been gradually moving toward a more
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