see if I can boost the performance
further.Thanks.
> From: oscar.j.benja...@gmail.com
> Date: Tue, 1 Sep 2015 16:14:41 +0100
> To: numpy-discussion@scipy.org
> Subject: Re: [Numpy-discussion] Numpy FFT.FFT slow with certain samples
>
> On 1 September 2015 at 11:38, Joseph Codadee
Hi,
I cannot see how the following would work when it is np.fft.fft() that takes a
long time based on the length of data. In my case my data is non-periodic.>
from numpy.fft import fft> from numpy.random import rand> from math import log,
ceil> seq_A = rand(2649674)> seq_B = rand(2646070)> fft
Great, thanks Stefan and everyone.
> From: stef...@berkeley.edu
> To: numpy-discussion@scipy.org
> Date: Fri, 28 Aug 2015 12:03:52 -0700
> Subject: Re: [Numpy-discussion] Numpy FFT.FFT slow with certain samples
>
>
> On 2015-08-28 11:51:47, Jose
gt;
> On 08/28/2015 02:02 PM, Joseph Codadeen wrote:
> >
> > * my_1_minute_noise_with_gaps_truncated took***30.75620985s* to process.
> > * my_1_minute_noise_with_gaps took *22307.13917s*to process.
> >
>
> You didn't say how long those arrays were, but I
Hi,
I am a numpy newbie.
I have two wav files, one that numpy takes a long time to process the FFT. They
was created within audacity using white noise and silence for gaps.
my_1_minute_noise_with_gaps.wavmy_1_minute_noise_with_gaps_truncated.wav
The files are very similar in the following way;
