Hello Ian!
On Saturday 25 April 2009, Ian Mallett wrote:
> Can I make "vec" an array of class instances? I tried:
> class c:
> def __init__(self):
> self.position = [0,0,0]
> vec = array([c(),c(),c()])
> pos = array([0,4,0])
> sqrt(((vec.position - pos)**2).sum(1))
>
> Which doesn't w
On Tuesday 19 August 2008, Alan G Isaac wrote:
>
> Proposal 1: PEP 225, but *just* for multiplication.
> Either ~* as in the PEP or @* (which I prefer).
> (This looks simplest.)
>
> Proposal 2: PEP 225
> (but maybe using @ instead of ~).
>
> Proposal 3: use of a unicode character,
> perhaps × since
Just for the record, because I had a very similar problem:
On Wednesday 23 January 2008 12:11, Pearu Peterson wrote:
> Users may accidentally hit vector * matrix and this should raise
> an exception. But when vector is numpy array, then ndarray.__mul__
> calls element * A for each array element an
Ok, I hit the send button too fast. Sorry!
Eike.
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On Friday 14 September 2007 20:12, Charles R Harris wrote:
> Since none of the numbers are exactly represented in IEEE floating
> point, this sort of oddity is expected. If you look at the exact
> values, (.4 + .2)/.1 > 6 and .6/.1 < 6 . That said, I would expect
You hit send too fast! The frac
Sorry, I made a typo!
On Wednesday 11 July 2007 17:32, Eike Welk wrote:
> On Wednesday 11 July 2007 12:52, Michał Szpadzik wrote:
> > I would like to know how change this True/False to 1/0
>
> To convert an array of bool to an array double, you can use the
> function numpy
On Wednesday 11 July 2007 12:52, Michał Szpadzik wrote:
> I would like to know how change this True/False to 1/0
To convert an array of bool to an array double, you can use the
function numpy.doube( ... ). The function numpy.int32( ... ) converts
to integers.
Regards,
Eike.
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On Friday 29 June 2007 05:15, David Cournapeau wrote:
> Could you give me more information on the AMD failure ? Are you
> using 64 bits mode ?
No, its an old Athlon XP.
I'll send you the log directory and the output of "make test" in
private mail. It's 0.5 mb compressed. What else do you want?
On Sunday 24 June 2007 13:05, David Cournapeau wrote:
> Hi there,
>
> After quite some pain, I finally managed to build a LAPACK +
> ATLAS rpm useful for numpy and scipy. Read the following if you
--- snip --
> and lapack. I would like to h
On Wednesday 18 April 2007 20:14, Sturla Molden wrote:
> a[i] = 2.0 # The expression 'a * b + c * d' gets evaluated. The
> # object referred to by y now holds an actual array.
> # Finally, 2.0 is written to a[i].
This case will require some extra work. The array needs to re
In the SciPy sandbox there is a module that goes into this direction.
It was mentioned in the other optimization thread. numexpr:
http://projects.scipy.org/scipy/scipy/browser/trunk/Lib/sandbox/numexpr
This module needs to be combined with a derived array class where the
operators return unevalu
I would use something like this:
t = linspace(0, durSecs, durSecs*SRate)
Do you know the 'Numpy Example List'
http://www.scipy.org/Numpy_Example_List
Regards Eike.
PS: Ah, you did subscribe.
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Hello David!
You may get in contact with Werner Hoch. He currently creates NumPy,
SciPy, and Matplotlib packages for Opensuse.
werner dot ho (at the server) gmx dot de
The packages are here:
http://repos.opensuse.org/science/
Regards
Eike.
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On Friday 29 December 2006 00:39, Vincent Nijs wrote:
> Eike:
> I think I can figure out how to add a plot method. However, if you
> have some more suggestions on how to implement the getAtTime,
> extract, and set methods you mentioned that would be great.
Set method:
I thought of a method to chang
If your main concern is to store scientific data on disk you might
try:
http://www.pytables.org/moin
However, it uses numarray internally and a C library, which you have
to build from source. (You use a Mac right?)
Concerning your code:
- Your two file solution seems impractical to me. I thin
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