scipy.fft.hfft2(x, s=None, axes=(-2, -1), norm=None, overwrite_x=False, workers=None, *, plan=None)[source]#

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


Input array, taken to be Hermitian complex.

ssequence of ints, optional

Shape of the real output.

axessequence of ints, optional

Axes over which to compute the FFT.

norm{“backward”, “ortho”, “forward”}, optional

Normalization mode (see fft). Default is “backward”.

overwrite_xbool, optional

If True, the contents of x can be destroyed; the default is False. See fft for more details.

workersint, 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.

planobject, optional

This argument is reserved for passing in a precomputed plan provided by downstream FFT vendors. It is currently not used in SciPy.

Added in version 1.5.0.


The real result of the 2-D Hermitian complex real FFT.

See also


Compute the N-D discrete Fourier Transform for Hermitian complex input.


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