[SciPy-user] why the fft in scipy can't give the same result as the fft from matlab
Thu May 15 12:35:43 CDT 2008
On Thu, May 15, 2008 at 12:20 PM, zhang chi <email@example.com> wrote:
> ys = randn(64)
> Yf = fftpack.fft(ys,128)
> why Yf.shape=64,128?
In : from numpy import *
In : from scipy import fftpack
In : ys = random.rand(64)
In : Yf = fftpack.fft(ys, 128)
In : Yf.shape
Can you show us a complete piece of code with its output that
demonstrates the behavior that you are seeing? What versions of numpy
and scipy are you using?
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
More information about the SciPy-user