On Sun, Oct 07, 2007 at 06:52:11AM -0400, Neal Becker wrote:
Suppose I have a function F(), which is defined for 1-dim arguments. If the
user passes an n1 dim array, I want to apply F to each 1-dim view.
For example, for a 2-d array, apply F to each row and return a 2-d result.
For a 3-d
Hi,
I have a problem using numpy.dot, see below:
In [151]: m=5
In [152]: n=5
In [153]: x=(m*ones((1,5)))**arange(0,n)
In [154]: y=test.order_length[::-1]
In [155]: x
Out[155]: array([[ 1.,5., 25., 125., 625.]])
In [156]: y
Out[156]:
array([[ 1024.],
[ 1280.],
[
Robin wrote:
Hi,
I have a problem using numpy.dot, see below:
In [151]: m=5
In [152]: n=5
In [153]: x=(m*ones((1,5)))**arange(0,n)
In [154]: y=test.order_length[::-1]
In [155]: x
Out[155]: array([[ 1.,5., 25., 125., 625.]])
In [156]: y
Out[156]:
array([[ 1024.],
It works for me with a recent SVN numpy on OS X. What version of numpy are
you
using? What platform are you on? Did you build with ATLAS or other
optimized
linear algebra library?
I am on Ubuntu 7.04, gcc 4.1.2
In [181]: numpy.__version__
Out[181]: '1.0.4.dev4155'
Built with ATLAS
Robin wrote:
It works for me with a recent SVN numpy on OS X. What version of
numpy are you
using? What platform are you on? Did you build with ATLAS or other
optimized
linear algebra library?
I am on Ubuntu 7.04, gcc 4.1.2
In [181]: numpy.__version__
Out[181]:
Gary Ruben wrote:
Try using astype. This works:
values = array(wavearray.split()).astype(float)
Why not use numpy.fromstring?
fromstring(string, dtype=float, count=-1, sep='')
Return a new 1d array initialized from the raw binary data in string.
If count is positive, the new
Is anyone sharing arrays between processes on Windows?
I tried compiling the posh sources (once, so far) with the new MS
toolkit and failed...
What other solutions are in use?
Have a second process create an array view from an address would
suffice for this particular purpose. I could pass the
On 08/10/2007, Ryan May [EMAIL PROTECTED] wrote:
Why not use numpy.fromstring?
because that results in the array being filled with gibberish
values = numpy.fromstring(wavearray, dtype=float, count=-1, sep='')
print values
gives:
[ 1.39804329e-076 1.30354290e-076 1.18295070e-076 ...,
Adam Mercer wrote:
On 08/10/2007, Ryan May [EMAIL PROTECTED] wrote:
Why not use numpy.fromstring?
because that results in the array being filled with gibberish
values = numpy.fromstring(wavearray, dtype=float, count=-1, sep='')
Use sep=' '. As the docstring says, if sep is empty, then
On 10/8/07, Adam Mercer [EMAIL PROTECTED] wrote:
On 08/10/2007, Ryan May [EMAIL PROTECTED] wrote:
Why not use numpy.fromstring?
because that results in the array being filled with gibberish
values = numpy.fromstring(wavearray, dtype=float, count=-1, sep='')
print values
You need to use
On Mon, Oct 08, 2007 at 11:00:39PM +0100, Robin wrote:
Coming from matlab and being use to 0:10 for row or (0:10)' for column
this seems a bit messy. Is there a better way of constructing row/column
2d arrays from a slice type range?
r_[0:10] and c_[0:10].
Does that suit you ? The
On Mon, Oct 08, 2007 at 11:00:39PM +0100, Robin wrote:
Hi,
I am trying to implement a project in scipy. I think I am getting somewhere
finally.
However in my code (I am converting from MATLAB) it is important to maintain
2d
arrays, and keep the difference between row and column vectors.
On Mon, Oct 08, 2007 at 11:12:07PM +0100, Robin wrote:
On 10/8/07, Gael Varoquaux [EMAIL PROTECTED] wrote:
r_[0:10] and c_[0:10].
Does that suit you ? The first one is indeed only 1D, but I don't see
the
problem with that. If you really want 2D you can use c_[0:10].T
On Mon, 8 Oct 2007, Robin apparently wrote:
However in my code (I am converting from MATLAB) it is
important to maintain 2d arrays, and keep the difference
between row and column vectors.
How about using matrices?
help(numpy.mat)
hth,
Alan Isaac
On 10/8/07, Gael Varoquaux [EMAIL PROTECTED] wrote:
Damn it. Shame on me. I meant c_[0:10,]. If you really need a shape of
(1,10) (I have never had such a need) you can use c_[0:10,].T.
Thanks! - the trick with the , is just the sort of thing I was looking for -
I knew there must be an easy
On 08/10/2007, Robert Kern [EMAIL PROTECTED] wrote:
Use sep=' '. As the docstring says, if sep is empty, then the string is
interpreted as binary data. If it is not empty, then the string is interpreted
as ASCII.
Thanks, got it the wrong way round. That works now.
Cheers
Adam
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