Right... So I was able to get everything working finally. I am not
100% sure how or why it works though so I am going to outline what I
did here for reference.
I first tried just using LAPACK 3.1.1 (since it seemed set up for g77
instead of gfortran which I do not have). I compiled this to yield
hello, i'm fairly new to numpy. i need help with a snow effect done
with pygame. the entire code is below. the performance drops in the
snowfall function. the original c code and a demo can be found here :
http://sol.gfxile.net/gp/ch04.html
as you can see. the original c code went the pixel by pix
2009/8/18 Ernest Adrogué :
> 18/08/09 @ 07:33 (-0700), thus spake Robert Kern:
>> 2009/8/18 Ernest Adrogué :
>> > Hi,
>> >
>> > Suppose I have a 3-dimansional array, where one dimension
>> > is time. I'm not particularly interested in selecting specific
>> > moments in time, so most of the time I w
18/08/09 @ 07:33 (-0700), thus spake Robert Kern:
> 2009/8/18 Ernest Adrogué :
> > Hi,
> >
> > Suppose I have a 3-dimansional array, where one dimension
> > is time. I'm not particularly interested in selecting specific
> > moments in time, so most of the time I won't be indexing this
> > dimension
2009/8/18 Ernest Adrogué :
> Hi,
>
> Suppose I have a 3-dimansional array, where one dimension
> is time. I'm not particularly interested in selecting specific
> moments in time, so most of the time I won't be indexing this
> dimension.
>
> Intuitively, one would make time the third dimension, but
On Tue, Aug 18, 2009 at 2:01 AM, Maria Liukis wrote:
> Josef,
> Many thanks for the example! It should become an official NumPy recipe :)
> Thanks again,
> Masha
>
> liu...@usc.edu
Actually, there is also an implementation of unique rows in
scipy.stats._support. It uses loops
Hi,
Suppose I have a 3-dimansional array, where one dimension
is time. I'm not particularly interested in selecting specific
moments in time, so most of the time I won't be indexing this
dimension.
Intuitively, one would make time the third dimension, but if
you do that you have to specifiy the t
Keith Goodman wrote:
> On Thu, Aug 6, 2009 at 9:58 AM, Charles R
> Harris wrote:
>>
>> On Thu, Aug 6, 2009 at 9:55 AM, wrote:
>>> What's the best way of getting back the correct shape to be able to
>>> broadcast, mean, min,.. to the original array, that works for
>>> arbitrary dimension and axis?