scipy.fft.rfft2#

scipy.fft.rfft2(x, s=None, axes=(- 2, - 1), norm=None, overwrite_x=False, workers=None, *, plan=None)[source]#

Compute the 2-D FFT of a real array.

Parameters
xarray

Input array, taken to be real.

ssequence of ints, optional

Shape of the FFT.

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.

New in version 1.5.0.

Returns
outndarray

The result of the real 2-D FFT.

See also

irfft2

The inverse of the 2-D FFT of real input.

rfft

The 1-D FFT of real input.

rfftn

Compute the N-D discrete Fourier Transform for real input.

Notes

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

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