`scipy.fft._basic:hfft2`

Signature

def hfft2(x, s = None, axes = (-2, -1), norm = None, overwrite_x = False, workers = None, *, plan = None)

Compute the 2-D FFT of a Hermitian complex array.

x : array: Input array, taken to be Hermitian complex.
s : sequence of ints, optional: Shape of the real output.
axes : sequence of ints, optional: Axes over which to compute the FFT.
norm : {"backward", "ortho", "forward"}, optional: Normalization mode (see fft). Default is "backward".
overwrite_x : bool, optional: If True, the contents of x can be destroyed; the default is False. See fft for more details.
workers : int, optional: Maximum number of workers to use for parallel computation. If negative, the value wraps around from os.cpu_count(). See fft for more details.
plan : object, optional: This argument is reserved for passing in a precomputed plan provided by downstream FFT vendors. It is currently not used in SciPy.
versionadded 1.5.0

This is really just hfftn with different default behavior. For more details see hfftn.

import scipy.fft
import numpy as np
x = np.array([[1+0j, 2+0j], [2+0j, 1+0j]])  # Hermitian-symmetric input
scipy.fft.hfft2(x, s=(2, 2))

✓

array([[ 6.,  0.],
       [ 0., -2.]])