numpy.fft._pocketfft

Discrete Fourier Transforms

Routines in this module:

fft(a, n=None, axis=-1, norm="backward") ifft(a, n=None, axis=-1, norm="backward") rfft(a, n=None, axis=-1, norm="backward") irfft(a, n=None, axis=-1, norm="backward") hfft(a, n=None, axis=-1, norm="backward") ihfft(a, n=None, axis=-1, norm="backward") fftn(a, s=None, axes=None, norm="backward") ifftn(a, s=None, axes=None, norm="backward") rfftn(a, s=None, axes=None, norm="backward") irfftn(a, s=None, axes=None, norm="backward") fft2(a, s=None, axes=(-2,-1), norm="backward") ifft2(a, s=None, axes=(-2, -1), norm="backward") rfft2(a, s=None, axes=(-2,-1), norm="backward") irfft2(a, s=None, axes=(-2, -1), norm="backward")

i = inverse transform r = transform of purely real data h = Hermite transform n = n-dimensional transform 2 = 2-dimensional transform (Note: 2D routines are just nD routines with different default behavior.)