Others can correct me, but I believe the ndarrys of
numpy are *not* stored like C arrays, but rather as a
contiguous memory chunk (there are some exceptions,
but ignore for the moment). Then along with the data
is a structure that tells numpy how to "address" the
array's data memory using indices
Awww, this is quite right. I kept using the a[0][:] notation and I
assume I am simply pulling out single arrays from the array "list".
Thank you very much for the prompt reply. (And sorry for wasting your
time :P)
On Mar 29, 3:46 pm, Travis Oliphant <[EMAIL PROTECTED]> wrote:
> Simon Berube wrote
On Thu, Mar 29, 2007 at 07:43:03PM -, Simon Berube wrote:
> Hi,
>I am relatively new to Python/NumPy switching over from Matlab and
> while porting some of my matlab code for practice I ran into the
> following problem.
>
> Assume we have a 2D Matrix such that
> a = array([[1, 2, 3],
>
Simon Berube wrote:
>c = a(:,2) to get the values array([2,5,8])
>
>
Actually (0-based indexing)
c = a[:,1]
-Travis
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Simon Berube wrote:
>Hi,
> I am relatively new to Python/NumPy switching over from Matlab and
>while porting some of my matlab code for practice I ran into the
>following problem.
>
>Assume we have a 2D Matrix such that
>a = array([[1, 2, 3],
> [4, 5, 6],
> [7, 8, 9]]
Hi,
I am relatively new to Python/NumPy switching over from Matlab and
while porting some of my matlab code for practice I ran into the
following problem.
Assume we have a 2D Matrix such that
a = array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
If I want the second row I
