> I have 2D array, let's say: `np.random.random((100,100))` and I want to do
> simple manipulation on each point neighbors, like divide their values by 3.
>
> So for each array value, x, and it neighbors n:
>
> n n nn/3 n/3 n/3
> n x n -> n/3 x n/3
> n n nn/3 n/3 n/3
>
> I searched a
Thanks. I tried again, it works.
On Thu, Dec 27, 2012 at 10:35 PM, Ralf Gommers wrote:
> from numpy.ma import testutils
>
--
***
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 15
On Thu, Dec 27, 2012 at 12:23 AM, Chao YUE wrote:
> Dear all,
>
> I found here
> http://mail.scipy.org/pipermail/numpy-discussion/2009-January/039681.html
> that to use* numpy.ma.testutils.assert_almost_equal* for masked array
> assertion, but I cannot find the np.ma.testutils module?
> Am I gett
Hi,
I have 2D array, let's say: `np.random.random((100,100))` and I want
to do simple manipulation on each point neighbors, like divide their
values by 3.
So for each array value, x, and it neighbors n:
n n nn/3 n/3 n/3
n x n -> n/3 x n/3
n n nn/3 n/3 n/3
I searched a bit, and found a
On Thu, Dec 27, 2012 at 8:44 AM, Nikolaus Rath wrote:
> I have an array that I know will need to grow to X elements. However, I
> will need to work with it before it's completely filled.
what sort of "work with it" do you mean? -- resize() is dangerous if
there are any other views on the data bl
Hello,
I have an array that I know will need to grow to X elements. However, I
will need to work with it before it's completely filled. I see two ways
of doing this:
bigarray = np.empty(X)
current_size = 0
for i in something:
buf = produce_data(i)
bigarray[current_size:current_size+len(bu
Yep, I'm trying to construct dtype2 programmaticaly and was hoping for some
function giving me a "canonical" expression of the dtype. I've started playing
with fields but it's just a bit harder than I though (lot of different cases
and recursion).
Thanks for the answer.
Nicolas
On Dec 27, 2
