Hi Brad
On 2014-11-07 00:51:02, Brad Buran wrote:
> On Windows 7 using Anaconda with numpy 1.9.1 I get False (indicating that
> the FFT is not treating each row separately). When I test on a Ubuntu box
> using numpy 1.9.1 I get True. Is this expected behavior? If I understand
> the documentati
Given the following code:
import numpy as np
x = np.random.random(size=2**14)
y = x.copy()
z = np.concatenate([x[np.newaxis], y[np.newaxis]], axis=0)
print(np.all(np.fft.fft(z, axis=-1)[0] == np.fft.fft(z[0])))
On Windows 7 using Anaconda with numpy 1.9.1 I get False (indicating that
the FFT is n
On 2014-11-06 11:10:29, Daπid wrote:
> On 5 November 2014 19:11, Moroney, Catherine M (398E)
> wrote:
>> What is the recommended way of doing a fast median filter on an array where
>> only
>> certain elements of the array need to be calculated? I'm trying to avoid a
>> nested loop over all (I,J
On 5 November 2014 19:11, Moroney, Catherine M (398E)
wrote:
> What is the recommended way of doing a fast median filter on an array where
> only
> certain elements of the array need to be calculated? I'm trying to avoid a
> nested loop over all (I,J) elements.
Since you are using FORTRAN, I be
