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Notes

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

Parameters

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 ~scipy.fft.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

Returns

out : ndarray

The result of the real 2-D FFT.

Compute the 2-D FFT of a real array.

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.

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.fft._basic.rfftn scipy.fft._basic.rfft scipy.fft._basic.irfft2

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GitHub : /scipy/fft/_basic.py#1114
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