If you don't mind the extra dependency or licensing and this is an issue for you, you can try pyfftw (there are likely other similar projects) which wraps fftw and does not have this problem as far as I know. It exposes a numpy-like interface.
- sebastian On Fr, 2015-08-28 at 19:13 +0000, Joseph Codadeen wrote: > Great, thanks Stefan and everyone. > > > From: [email protected] > > To: [email protected] > > 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, Joseph Codadeen <[email protected]> > > wrote: > > > my_1_minute_noise_with_gaps_truncated - Array len is > > > 2646070my_1_minute_noise_with_gaps - Array len is 2649674 > > > > In [6]: from sympy import factorint In [7]: > > max(factorint(2646070)) Out[7]: 367 In [8]: > > max(factorint(2649674)) Out[8]: 1324837 > > > > Those numbers give you some indication of how long the FFT will > > take to compute. > > > > Stéfan > > _______________________________________________ > > NumPy-Discussion mailing list > > [email protected] > > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion
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