On Thu, Jul 22, 2010 at 10:35 AM, Warren Weckesser
wrote:
> Keith Goodman wrote:
>> On Thu, Jul 22, 2010 at 7:48 AM, Warren Weckesser
>> wrote:
>>
>>
>>> Actually, because of the use of reshape(3,3,4), your second
>>> example does make a copy.
>>>
>>
>> When does reshape return a view and when do
Keith Goodman wrote:
> On Thu, Jul 22, 2010 at 7:48 AM, Warren Weckesser
> wrote:
>
>
>> Actually, because of the use of reshape(3,3,4), your second
>> example does make a copy.
>>
>
> When does reshape return a view and when does it return a copy?
>
>
According to the numpy.reshape do
Vincent, Pauli,
> From: Vincent Schut
> - an other option would be some smart reshaping, which finally gives you
> a [y//2, x//2, 2, 2] array, which you could then reduce to calculate
> stats (mean, std, etc) on the last two axes. I *think* you'd have to
> first reshape both x and y axes, a
On Thu, Jul 22, 2010 at 7:48 AM, Warren Weckesser
wrote:
> Actually, because of the use of reshape(3,3,4), your second
> example does make a copy.
When does reshape return a view and when does it return a copy?
Here's a simple example that returns a view:
>> x = np.array([1,2,3,4])
>> y = x.re
Pauli Virtanen wrote:
> Thu, 22 Jul 2010 00:47:20 -0400, Robin Kraft wrote:
> [clip]
>
>> Let's say the image looks like this: np.random.randint(0,2,
>> 16).reshape(4,4)
>>
>> array([[0, 0, 0, 1],
>>[0, 0, 1, 1],
>>[1, 1, 0, 0],
>>[0, 0, 0, 0]])
>>
>> I want to use a squa
Thu, 22 Jul 2010 00:47:20 -0400, Robin Kraft wrote:
[clip]
> Let's say the image looks like this: np.random.randint(0,2,
> 16).reshape(4,4)
>
> array([[0, 0, 0, 1],
>[0, 0, 1, 1],
>[1, 1, 0, 0],
>[0, 0, 0, 0]])
>
> I want to use a square, non-overlapping moving window for
On 07/22/2010 06:47 AM, Robin Kraft wrote:
> Hello all,
>
> The short version: For a given NxN array, is there an efficient way to use a
> moving window to collect a summary statistic on a chunk of the array, and
> insert it into another array?
Hi Robin,
been wrestling with similar stuff myself
Hello all,
The short version: For a given NxN array, is there an efficient way to use a
moving window to collect a summary statistic on a chunk of the array, and
insert it into another array?
The long version: I am trying to resample an image loaded with GDAL into an NxN
array. Note that this
