numpy.fft.rfft2
- fft. rfft2 ( a, s=None, axes=(- 2, - 1), norm=None ) [source]
-
Compute the 2-dimensional FFT of a real array.
- Parameters
-
- a 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
-
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
-
- out ndarray
-
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 ]])
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https://numpy.org/doc/1.22/reference/generated/numpy.fft.rfft2.html