my_1_minute_noise_with_gaps_truncated - Array len is 2646070my_1_minute_noise_with_gaps - Array len is 2649674
Date: Fri, 28 Aug 2015 14:28:49 -0400 From: firstname.lastname@example.org To: email@example.com Subject: Re: [Numpy-discussion] Numpy FFT.FFT slow with certain samples
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 can make a good guess that the truncated one had a length that could be factored into small, prime numbers, while the non-truncated one had a length that was either prime or could only be factored into large primes.
Phil _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion