Module fft 

numpy.fft — 1-D forward/inverse FFT, 2-D variants, and real-input transforms, all routed through rustfft. Frequencies follow numpy’s fftfreq/rfftfreq conventions.

Functions

fft

np.fft.fft(a) — 1-D forward FFT (default n = len(a)).

fft2

np.fft.fft2(a) — 2-D FFT (FFT along axis 1, then axis 0).

fftfreq

np.fft.fftfreq(n, d=1.0) — sample frequencies for an N-point FFT.

fftn

np.fft.fftn(a) — N-dimensional FFT. Performs an FFT along every axis in turn. If axes is provided, only those axes are transformed.

fftshift

np.fft.fftshift(a, axes=None) — shift the zero-frequency component to the centre along the given axes (all axes by default).

ifft

np.fft.ifft(a) — 1-D inverse FFT (normalized by 1/N).

ifft2

np.fft.ifft2(a) — 2-D inverse FFT.

ifftn

np.fft.ifftn(a) — inverse N-dimensional FFT.

ifftshift

np.fft.ifftshift(a, axes=None) — inverse of fftshift.

irfft

np.fft.irfft(a, n=...) — inverse of rfft. n defaults to 2*(len-1).

rfft

np.fft.rfft(a) — 1-D FFT of a real-valued input, returning the first n/2 + 1 complex coefficients.

rfftfreq

np.fft.rfftfreq(n, d=1.0) — frequencies for rfft output.