On Wed, Dec 10, 2008 at 12:55 AM, [EMAIL PROTECTED] wrote:
On Wed, Dec 10, 2008 at 01:49, Charles R Harris
[EMAIL PROTECTED] wrote:
Hi All,
I bumped into this while searching for something else:
http://www.ohloh.net/p/numpy/analyses/latest
-14 lines of Javascript?
Well, they have
On Wed, Dec 10, 2008 at 02:22, Charles R Harris
[EMAIL PROTECTED] wrote:
On Wed, Dec 10, 2008 at 12:55 AM, [EMAIL PROTECTED] wrote:
On Wed, Dec 10, 2008 at 01:49, Charles R Harris
[EMAIL PROTECTED] wrote:
Hi All,
I bumped into this while searching for something else:
Charles R Harris wrote:
On Wed, Dec 10, 2008 at 12:55 AM, [EMAIL PROTECTED]
mailto:[EMAIL PROTECTED] wrote:
On Wed, Dec 10, 2008 at 01:49, Charles R Harris
[EMAIL PROTECTED] mailto:[EMAIL PROTECTED] wrote:
Hi All,
I bumped into this while searching for something
Hi All,
I am tryin to vectorize 3 nested for loops but I am not having
much success. Here is the code I use:
import numpy
import numpy.ma as masked
grid = numpy.zeros((nx, ny), dtype=numpy.float32)
xOut = numpy.zeros((nx, ny), dtype=numpy.float32)
yOut = numpy.zeros((nx, ny),
Hi All,
I am tryin to vectorize 3 nested for loops but I am not having
much success. Here is the code I use:
import numpy
import numpy.ma as masked
grid = numpy.zeros((nx, ny), dtype=numpy.float32)
xOut = numpy.zeros((nx, ny), dtype=numpy.float32)
yOut = numpy.zeros((nx, ny),
Hello,
I'm using numpy-1.1.1 for Python 2.3. I'm trying to create a class that acts
just like the numpy.matrix class with my own added methods and attributes. I
want to pass my class a list of custom instrument objects and do some math
based on these objects to set the matrix. To this end
On Wednesday 23 April 2008 15:48:23 Christopher Barker wrote:
- Boost Python [1]. Especially if you want usable C++ integration. (ie.
more than basic templates, etc.)
What's the status of the Boost array object? maintained? updated for
recent numpy?
The boost.python array object is still
Robert,
Transforming your matrix to a list before computation isn't very
efficient. If you do need some extra parameters in your __init__ to be
compatible with other functions such as asmatrix, well, just add them,
or use a coverall **kwargs
def __init__(self, instruments, **kwargs)
No
Oops, please ignore my previous message. I just started using a new mail
client which marked some of my old messages (which I had tagged interesting)
the same as new messages and I just blindly replied to them without checking
the date. Sorry about the spam.
Ravi
Hi Everyone
I think I'm missing something really obvious but what I would like to
do is extract the indexes from an array where a number matches - For
example
data = [0,1,2,960,5,6,960,7]
I would like to know, for example the indices which match 960 - i.e.
it would return 3 and 6
I could
Ross Williamson wrote:
Hi Everyone
I think I'm missing something really obvious but what I would like to
do is extract the indexes from an array where a number matches - For
example
data = [0,1,2,960,5,6,960,7]
I would like to know, for example the indices which match 960 - i.e.
On Wed, 10 Dec 2008 11:38:11 -0500
Ross Williamson [EMAIL PROTECTED] wrote:
Hi Everyone
I think I'm missing something really obvious but what I
would like to
do is extract the indexes from an array where a number
matches - For
example
data = [0,1,2,960,5,6,960,7]
I would like
Pierre GM wrote:
in the same place in NumPy; and all the SciPy IO code to be in the
same place in SciPy.
+1
So, no problem w/ importing numpy.ma and numpy.records in numpy.lib.io ?
As long as numpy.ma and numpy.records are, and will remain, part of the
standard numpy distribution, this is
On 12/10/2008 5:38 PM, Ross Williamson wrote:
Hi Everyone
I think I'm missing something really obvious but what I would like to
do is extract the indexes from an array where a number matches - For
example
data = [0,1,2,960,5,6,960,7]
I would like to know, for example the indices
I'm pleased to announce that the Enthought Tool Suite (ETS) 3.1.0 has
been tagged, released, and uploaded to PyPi[1]!
Both source distributions (.tar.gz) and binary (.egg) for Windows have
been built and uploaded to PyPi.
You can update an existing ETS install to v3.1.0 like so:
easy_install
I am running in ipython. Now I do not have the problem anymore. %reset commands
is a good solution.
Thanks
Frank Date: Tue, 9 Dec 2008 21:03:00 -0600 From: [EMAIL PROTECTED] To:
numpy-discussion@scipy.org Subject: Re: [Numpy-discussion] how do I delete
unused matrix to save the memory? On
On my two systems with Intel Core2 DUO, finfo(float128) gives me the nameerro,
NameError: name 'float128' is not defined. Why?
Thanks
Frank Date: Tue, 9 Dec 2008 21:10:32 -0600 From: [EMAIL PROTECTED] To:
numpy-discussion@scipy.org Subject: Re: [Numpy-discussion] Importance of order
when
On Wed, Dec 10, 2008 at 11:00 AM, frank wang [EMAIL PROTECTED] wrote:
On my two systems with Intel Core2 DUO, finfo(float128) gives me the
nameerro, NameError: name 'float128' is not defined. Why?
You probably run a 32 bit OS. IEEE extended precision is 80 bits. On 32 bit
systems it fits in
Thanks all
I was being dumb and forgot to initialize as array()
Cheers
Ross
On Dec 10, 2008, at 11:47 AM, Sturla Molden wrote:
On 12/10/2008 5:38 PM, Ross Williamson wrote:
Hi Everyone
I think I'm missing something really obvious but what I would like to
do is extract the indexes from an
On Wed, Dec 10, 2008 at 12:07, Charles R Harris
[EMAIL PROTECTED] wrote:
On Wed, Dec 10, 2008 at 11:00 AM, frank wang [EMAIL PROTECTED] wrote:
On my two systems with Intel Core2 DUO, finfo(float128) gives me the
nameerro, NameError: name 'float128' is not defined. Why?
You probably run a
Hello,
I have been reading that there may be potential issues with the
Box-Muller transform, which is used by the numpy.random.normal()
function. Supposedly, since f*x1 and f*x2 are not independent variables, then
the individual elements (corresponding to f*x1 and f*x2 ) of the
distribution
I think the use of a correct uniform generator will allow a good
normal distribution. Congruental generators are very basic generators,
everyone knows they should not be used. I think Numpy uses a Mersenne
Twisted generator, for which you can generate independant vectors
with several hundred
Wed, 10 Dec 2008 14:03:39 -0500, Michael Gilbert wrote:
I have been reading that there may be potential issues with the
Box-Muller transform, which is used by the numpy.random.normal()
function. Supposedly, since f*x1 and f*x2 are not independent
variables, then the individual elements
On Wed, Dec 10, 2008 at 11:58 AM, Robert Kern [EMAIL PROTECTED] wrote:
On Wed, Dec 10, 2008 at 12:07, Charles R Harris
[EMAIL PROTECTED] wrote:
On Wed, Dec 10, 2008 at 11:00 AM, frank wang [EMAIL PROTECTED] wrote:
On my two systems with Intel Core2 DUO, finfo(float128) gives me the
On Wed, Dec 10, 2008 at 11:58 AM, Robert Kern [EMAIL PROTECTED] wrote:
On Wed, Dec 10, 2008 at 12:07, Charles R Harris
[EMAIL PROTECTED] wrote:
On Wed, Dec 10, 2008 at 11:00 AM, frank wang [EMAIL PROTECTED] wrote:
On my two systems with Intel Core2 DUO, finfo(float128) gives me the
On Wed, Dec 10, 2008 at 12:03 PM, Michael Gilbert
[EMAIL PROTECTED] wrote:
Hello,
I have been reading that there may be potential issues with the
Box-Muller transform, which is used by the numpy.random.normal()
function. Supposedly, since f*x1 and f*x2 are not independent variables,
Hi
I'm trying to split an array into two pieces and have the two pieces in a
new dimension.
Here it is in code, because that's hard to explain in words.
data.shape
(4, 50, 3)
new_data = numpy.zeros((2, 4, 25, 3))
new_data[0,...] = data[:,:25,:]
new_data[1,...] = data[:,25:,:]
new_data.shape
Hi all,
Looks like I am following the long line of people failing to build numpy
:). I must admit I am clueless with building problems.
Numpy builds alright, but I get:
ImportError: /usr/lib/sse2/atlas/libblas.so.3gf: undefined symbol:
_gfortran_st_write_done
On import.
This used to work a
Damian Eads eads at soe.ucsc.edu writes:
Hi,
Can you be more specific? Do you need sparse matrices to represent
observation vectors because they are sparse? Or do you need sparse
matrices to represent distance matrices because most vectors you are
clustering are similar while a few are
Keith Goodman kwgoodman at gmail.com writes:
On Tue, Dec 9, 2008 at 12:25 PM, Bab Tei babaktei at yahoo.com wrote:
I can exclude a list of items by using negative index in R (R-project) ie
myarray[-excludeindex]. As
negative indexing in numpy (And python) behave differently ,how can I
On Wed, Dec 10, 2008 at 11:10:23PM +0100, Gael Varoquaux wrote:
Numpy builds alright, but I get:
ImportError: /usr/lib/sse2/atlas/libblas.so.3gf: undefined symbol:
_gfortran_st_write_done
Doh! I knew it must be a FAQ, and it was :). Better googling gave me the
answer: the configuration was
Gael Varoquaux wrote:
I must have at some point installed the gfortran libraries by mistake. I
was taken by surprise because I didn't expect Ubuntu to have 2 versions
of atlas, ABI incompatible.
The point was to help for transition from g77 to gfortran ABI. Intrepid
does not have this
On Thu, Dec 11, 2008 at 01:07:51PM +0900, David Cournapeau wrote:
Gael Varoquaux wrote:
I must have at some point installed the gfortran libraries by mistake. I
was taken by surprise because I didn't expect Ubuntu to have 2 versions
of atlas, ABI incompatible.
The point was to help for
On Thu, Dec 11, 2008 at 06:10, Gael Varoquaux [EMAIL PROTECTED]
wrote:
Hi all,
Looks like I am following the long line of people failing to build numpy
:). I must admit I am clueless with building problems.
Numpy builds alright, but I get:
ImportError: /usr/lib/sse2/atlas/libblas.so.3gf:
Grissiom wrote:
On Thu, Dec 11, 2008 at 06:10, Gael Varoquaux
[EMAIL PROTECTED] mailto:[EMAIL PROTECTED]
wrote:
Hi all,
Looks like I am following the long line of people failing to build
numpy
:). I must admit I am clueless with building problems.
Numpy builds
On Thu, Dec 11, 2008 at 15:13, David Cournapeau
[EMAIL PROTECTED] wrote:
Grissiom wrote:
I have encountered with such problem before. My solution is recompile
the problem package(maybe atlas in your case) with -ff2c option passed
to gfortran.
This is a bad idea: it won't work with
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