`scipy.fft._basic:rfft2`

Signature

def rfft2(x, s = None, axes = (-2, -1), norm = None, overwrite_x = False, workers = None, *, plan = None)

Compute the 2-D FFT of a real array.

x : array: Input array, taken to be real.
s : sequence of ints, optional: Shape of the FFT.
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 rfftn with different default behavior. For more details see rfftn.

import scipy.fft
import numpy as np
x = np.broadcast_to([1, 0, -1, 0], (4, 4))
scipy.fft.rfft2(x)

✓

array([[0.+0.j, 8.+0.j, 0.+0.j],
       [0.+0.j, 0.+0.j, 0.+0.j],
       [0.+0.j, 0.+0.j, 0.+0.j],
       [0.+0.j, 0.+0.j, 0.+0.j]])