numpy.fft.rfft2#
- fft.rfft2(a, s=None, axes=(- 2, - 1), norm=None)[source]#
Compute the 2-dimensional FFT of a real array.
- Parameters
- aarray
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
New in version 1.10.0.
Normalization mode (see
numpy.fft
). Default is “backward”. Indicates which direction of the forward/backward pair of transforms is scaled and with what normalization factor.New in version 1.20.0: The “backward”, “forward” values were added.
- Returns
- outndarray
The result of the real 2-D FFT.
See also
rfftn
Compute the N-dimensional discrete Fourier Transform for real input.
Notes
This is really just
rfftn
with different default behavior. For more details seerfftn
.Examples
>>> a = np.mgrid[:5, :5][0] >>> np.fft.rfft2(a) array([[ 50. +0.j , 0. +0.j , 0. +0.j ], [-12.5+17.20477401j, 0. +0.j , 0. +0.j ], [-12.5 +4.0614962j , 0. +0.j , 0. +0.j ], [-12.5 -4.0614962j , 0. +0.j , 0. +0.j ], [-12.5-17.20477401j, 0. +0.j , 0. +0.j ]])